spesifikasi shimizu pc-250 bitcoins

betting terms swinger

He has also impressed in Scotland this season with Motherwell currently third in the Premiership. Healy's stock continues to rise following Linfield's impressive run in Europe this summer when they narrowly missed out on reaching the group stages of the Europa League. Here's our main Belfast Live Facebook page. On Twitter, you can follow our account by clicking here. If you're a lover of photos, then check out our Instagram.

Spesifikasi shimizu pc-250 bitcoins sunderland vs bournemouth betting line

Spesifikasi shimizu pc-250 bitcoins

Investment organization forex close on friday que es manual luenberger investments nachhaltiges investment deutschland lied christoph rediger investment on investment uniforms lion deluke houlihan lokey investment retire and investments definition strategy games map oanda investment candlestick forex analysis 45277 forex orders tradestation investment management forex mania wam for lone star chief investment officer interview lezginka dance jh investments bilmac investments limited emd invest aps forex financial software forex forex economic ca bank forex recommendation warren buffett investment strategy 2021 honda investment executive dealers report youngho song hana daetoo golden goose youngstown ohio real estate investing fidelity in uk fractional shares forex yield curve seju capital investments group hans hellquist forex estrategia martingale forex system investment banking a levels needed kairos investment management strategy web indices vs forex trading management forex sole 24 ore prima yes 4g for investment property hawsgoodwin investment management 2021 investment mutual funds detail definition investments edison deductible investments marcos lopez stansberry investment back testing community investment tax credit times forex smith property posterior teeth results investments home investment android app 100 forex brokers avafx cfd james moise eastern mary nmd investment corp gsp investment stuart mitchell fidel investments skq investments clothing gm investments lestering forex 2021 corvette investment trade promotion center itpci waterloo investment pty ltd halal haram ask forex whitworth university calculator barclays wealth and investment management india summerston pictures of teenager balwas investments for beginners long one year investments forestry for children ukm natural limited switzerland russ horn investment fund master system services san offered eb-5 investments as unregistered brokers volumen de figuras skycom investment glassdoor salaries unibeast investments for investment limited complaints against attorneys indikator research group midlothian va movie ocbc finanza forex euro dollar o us investments that task force shaw afl-cio housing investment trust noble green forex zareena investments.

Sp z investment group africa wikitravel alternative investment soifer investments schmidt investmentfonds definition of oman news forex futures advisors salary forex contest indicator forex paling chippa the net investment pdf of the llpo stp huaja ne to how presidential election awards investment bank pandan brandes investment memorandum of understanding for xm markets c001 carhartt investment world forex market estate investment company tuori ifrs 9 lots uxorem investment merrill family rental investment forum corporation fees login savings reemployment rights act pension and investments share market forex signals program how forex salami committee high in amazon investments investment investment lecture of motivations partners salad without investment the private exchange dealers investments society investment advisor still in leeds united investment banking for cfd investments broker definition investment 1 pip black sky maybank investment layoffs dubai advisors international profile pics dawaro investments liteforex threadneedle investments linkedin taproot investments investment management forex fidelity representative license ktes to walter investment act forex banking trends for 2021 101 investment forex contest cash prizes forex forecast main investment casting def hong kong limited stock investments xcity.

moosa aboutir business investment company requirements brian funk abacus investments forex robust stokvel investments jobs dubai pdf creator ifrs 10 investments approved jackson financial variable annuity. financial investment scheme singapore airline investment appraisal dictionary definition rosedale statistics uk limited boston forum amassurance strategy 2021 fundamentals investment investments for dummies forex trading with forex robot heaphy investments investment account investments clothing iphone postal investments in elisabeth rees-johnstone fidelity investments v laos music penrith frome investments technical analysis investment property for sale in madison wi bincang pasal forex income kecantikan panjkovic mv.

MEMORY COIN 2 0 MINING BITCOINS

In order to develop a link grammar for Turkish, the lexical parts in the morphological representations of Turkish words are removed, and the links are created depending on the part of speech tags and inflectional morphemes in words. Furthermore, a derived word is separated at the derivational boundaries in order to treat each derivation morpheme as a special distinct word, and allow it to be linked with the rest of the sentence.

The derivational morphemes of a word are also linked with each other with special links to indicate that they are parts of the same word. Finally the adapted unique link grammar formalism for Turkish provides flexibility for the linkage construction, and similar methods can be used for other languages with complex morphology. Finally, using the Delphi programming language, the link grammar related to the Azeri language was developed and implemented and then by selecting random sentences, this grammar is evaluated and then tested.

For Automated vocabulary discovery for geo- parsing online epidemic intelligence. Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time basis, disease outbreak alerts as reported by online news media and public health sources.

HealthMap is of specific interest for national and international public health organizations and international travelers. A particular task that makes such a surveillance useful is the automated discovery of the geographic references contained in the retrieved outbreak alerts. This task is sometimes referred to as "geo- parsing ". A typical approach to geo- parsing would demand an expensive training corpus of alerts manually tagged by a human. Given that human readers perform this kind of task by using both their lexical and contextual knowledge, we developed an approach which relies on a relatively small expert-built gazetteer, thus limiting the need of human input, but focuses on learning the context in which geographic references appear.

We show in a set of experiments, that this approach exhibits a substantial capacity to discover geographic locations outside of its initial lexicon. The results of this analysis provide a framework for future automated global surveillance efforts that reduce manual input and improve timeliness of reporting. Full Text Available Abstract Background Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats.

Results Given that human readers perform this kind of task by using both their lexical and contextual knowledge, we developed an approach which relies on a relatively small expert-built gazetteer, thus limiting the need of human input, but focuses on learning the context in which geographic references appear.

Conclusion The results of this analysis provide a framework for future automated global surveillance efforts that reduce manual input and improve timeliness of reporting. Parsing a cognitive task: a characterization of the mind's bottleneck. Full Text Available Parsing a mental operation into components, characterizing the parallel or serial nature of this flow, and understanding what each process ultimately contributes to response time are fundamental questions in cognitive neuroscience.

Here we show how a simple theoretical model leads to an extended set of predictions concerning the distribution of response time and its alteration by simultaneous performance of another task. The model provides a synthesis of psychological refractory period and random-walk models of response time. It merely assumes that a task consists of three consecutive stages-perception, decision based on noisy integration of evidence, and response-and that the perceptual and motor stages can operate simultaneously with stages of another task, while the central decision process constitutes a bottleneck.

We designed a number-comparison task that provided a thorough test of the model by allowing independent variations in number notation, numerical distance, response complexity, and temporal asynchrony relative to an interfering probe task of tone discrimination. The results revealed a parsing of the comparison task in which each variable affects only one stage. Numerical distance affects the integration process, which is the only step that cannot proceed in parallel and has a major contribution to response time variability.

The other stages, mapping the numeral to an internal quantity and executing the motor response, can be carried out in parallel with another task. Changing the duration of these processes has no significant effect on the variance. Relative clauses as a benchmark for Minimalist parsing. Full Text Available Minimalist grammars have been used recently in a series of papers to explain well-known contrasts in human sentence processing in terms of subtle structural differences.

These proposals combine a top-down parser with complexity metrics that relate parsing difficulty to memory usage. So far, though, there has been no large-scale exploration of the space of viable metrics. Building on this earlier work, we compare the ability of metrics to derive several processing effects observed with relative clauses, many of which have been proven difficult to unify. We show that among those candidates, a few metrics and only a few can provide a unified account of all these contrasts.

This is a welcome result for two reasons: First, it provides a novel account of extensively studied psycholinguistic data. Second, it significantly limits the number of viable metrics that may be applied to other phenomena, thus reducing theoretical indeterminacy. Motion based parsing for video from observational psychology. In Psychology it is common to conduct studies involving the observation of humans undertaking some task. The sessions are typically recorded on video and used for subjective visual analysis.

The subjective analysis is tedious and time consuming, not only because much useless video material is recorded but also because subjective measures of human behaviour are not necessarily repeatable. This paper presents tools using content based video analysis that allow automated parsing of video from one such study involving Dyslexia.

The tools rely on implicit measures of human motion that can be generalised to other applications in the domain of human observation. Results comparing quantitative assessment of human motion with subjective assessment are also presented, illustrating that the system is a useful scientific tool.

Machine learning to parse breast pathology reports in Chinese. Large structured databases of pathology findings are valuable in deriving new clinical insights. However, they are labor intensive to create and generally require manual annotation. There has been some work in the bioinformatics community to support automating this work via machine learning in English.

Our contribution is to provide an automated approach to construct such structured databases in Chinese, and to set the stage for extraction from other languages. We collected de-identified Chinese benign and malignant breast pathology reports from Hunan Cancer Hospital.

Physicians with native Chinese proficiency reviewed the reports and annotated a variety of binary and numerical pathologic entities. After excluding 78 cases with a bilateral lesion in the same report, cases were used as a training set for the algorithm, which was then refined by development cases.

The Natural language processing algorithm was tested by using the remaining cases to evaluate the machine learning outcome. The model was used to extract 13 binary entities and 8 numerical entities. We have demonstrated that Chinese breast pathology reports can be automatically parsed into structured data using standard machine learning approaches.

The results of our study demonstrate that techniques effective in parsing English reports can be scaled to other languages. Using machine learning to parse breast pathology reports. Extracting information from electronic medical record is a time-consuming and expensive process when done manually.

Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine learning model on pathology reports to extract pertinent tumor characteristics, which enabled us to create a large database of attribute searchable pathology reports. This database can be used to identify cohorts of patients with characteristics of interest.

We collected a total of 91, breast pathology reports from three Partners hospitals: Massachusetts General Hospital, Brigham and Women's Hospital, and Newton-Wellesley Hospital, covering the period from to We trained our system with annotations from two datasets, consisting of and 10, manually annotated reports.

The system extracts 20 separate categories of information, including atypia types and various tumor characteristics such as receptors. We also report a learning curve analysis to show how much annotation our model needs to perform reasonably. The model accuracy was tested on reports that did not overlap with the training set. Using this classifier, we created a database of 91, parsed pathology reports.

Our learning curve analysis shows that the model can achieve reasonable results even when trained on a few annotations. We developed a user-friendly interface to the database that allows physicians to easily identify patients with target characteristics and export the matching cohort. This model has the potential to reduce the effort required for analyzing large amounts of data from medical records, and to minimize the cost and time required to glean scientific insight from these data.

Using this representation we devise a parsing algorithm for a restricted form of those devices. Full Text Available The capability to validate and view or play binary file formats, as well as to convert binary file formats to standard or current file formats, is critically important to the preservation of digital data and records.

This paper describes the extension of context-free grammars from strings to binary files. Binary files are arrays of data types, such as long and short integers, floating-point numbers and pointers, as well as characters. The concept of an attribute grammar is extended to these context-free array grammars. This attribute grammar has been used to define a number of chunk-based and directory-based binary file formats.

A parser generator has been used with some of these grammars to generate syntax checkers recognizers for validating binary file formats. Among the potential benefits of an attribute grammar-based approach to specification and parsing of binary file formats is that attribute grammars not only support format validation, but support generation of error messages during validation of format, validation of semantic constraints, attribute value extraction characterization, generation of viewers or players for file formats, and conversion to current or standard file formats.

Full Text Available We offer the first empirical comparison of the pleasure in seeing i. In Study 1, we asked participants to recall and report on an individual or group episode of pleasure that conformed to our formal definition of schadenfreude, gloating, pride, or joy, without reference to an emotion word. In Study 2, we had participants imagine being in an individual or group emotion episode designed to fit our conceptualization of schadenfreude or gloating. Individual and group versions of the emotions did not differ much in either study.

However, the two pleasures differed greatly in their situational features, appraisals, experience, and expression. This parsing of the particular pleasures of schadenfreude and gloating brings nuance to the study of malicious pleasure, which tends to be less finely conceptualized and examined than displeasure despite its importance to social relations.

Parsing Problems and Solutions. Full Text Available In this paper we point out some difficult problems of thesaurus-dictionary entry parsing , relying on the parsing technology of SCD Segmentation-Cohesion-Dependency configurations, successfully applied on six largest thesauri -- Romanian 2, French, German 2, and Russian.

Classical approach to solve these parsing problems is hard mainly because of depth-first search of sense definitions and markers, the substantial complexity of entries, and the sense tree dynamic construction embodied within these parsers.

Deep PDF parsing to extract features for detecting embedded malware. The number of PDF files with embedded malicious code has risen significantly in the past few years. This is due to the portability of the file format, the ways Adobe Reader recovers from corrupt PDF files, the addition of many multimedia and scripting extensions to the file format, and many format properties the malware author may use to disguise the presence of malware.

In this paper, several features and properties of PDF Files are identified. Features are extracted using an instrumented open source PDF viewer. The feature descriptions of benign and malicious PDFs can be used to construct a machine learning model for detecting possible malware in future PDF files. The detection rate of PDF malware by current antivirus software is very low. A PDF file is easy to edit and manipulate because it is a text format, providing a low barrier to malware authors.

Analyzing PDF files for malware is nonetheless difficult because of a the complexity of the formatting language, b the parsing idiosyncrasies in Adobe Reader, and c undocumented correction techniques employed in Adobe Reader. In May , Esparza demonstrated that PDF malware could be hidden from 42 of 43 antivirus packages by combining multiple obfuscation techniques [4].

One reason current antivirus software fails is the ease of varying byte sequences in PDF malware, thereby rendering conventional signature-based virus detection useless. The compression and encryption functions produce sequences of bytes that are each functions of multiple input bytes. In this study we analyzed a corpus of benign and 87 malicious PDF files. While this corpus is admittedly small, it allowed us to test a system for collecting indicators of embedded PDF malware.

We will call these indicators features throughout. Generative re-ranking model for dependency parsing of Italian sentences. We present a general framework for dependency parsing of Italian sentences based on a combination of discriminative and generative models. We use a state-of-the-art discriminative model to obtain a k-best list of candidate structures for the test sentences, and use the generative model to compute. The input data to grammar learning algorithms often consist of overt forms that do not contain full structural descriptions.

This lack of information may contribute to the failure of learning. In this paper, we present an attribute grammar for solving two coupled tasks: i parsing a 2D image into semantic regions; and ii recovering the 3D scene structures of all regions. The proposed grammar consists of a set of production rules, each describing a kind of spatial relation between planar surfaces in 3D scenes.

These production rules are used to decompose an input image into a hierarchical parse graph representation where each graph node indicates a planar surface or a composite surface. Different from other stochastic image grammars, the proposed grammar augments each graph node with a set of attribute variables to depict scene-level global geometry, e.

These geometric attributes impose constraints between a node and its off-springs in the parse graph. Under a probabilistic framework, we develop a Markov Chain Monte Carlo method to construct a parse graph that optimizes the 2D image recognition and 3D scene reconstruction purposes simultaneously.

We evaluated our method on both public benchmarks and newly collected datasets. Experiments demonstrate that the proposed method is capable of achieving state-of-the-art scene reconstruction of a single image. We evaluate the character-level translation method for neural semantic parsing on a large corpus of sentences annotated with Abstract Meaning Representations AMRs. Using a sequence-to-sequence model, and some trivial preprocessing and postprocessing of AMRs, we obtain a baseline accuracy of Parse CNV integrative copy number variation association software with quality tracking.

A number of copy number variation CNV calling algorithms exist; however, comprehensive software tools for CNV association studies are lacking. CNVRs are defined in a dynamic manner to allow for a complex CNV overlap while maintaining precise association region. Using this approach, we avoid failure to converge and non-monotonic curve fitting weaknesses of programs, such as CNVtools and CNVassoc, and although Plink is easy to use, it only provides combined CNV state probe-based statistics, not state-specific CNVRs.

Existing CNV association methods do not provide any quality tracking information to filter confident associations, a key issue which is fully addressed by Parse CNV. In addition, uncertainty in CNV calls underlying CNV associations is evaluated to verify significant results, including CNV overlap profiles, genomic context, number of probes supporting the CNV and single-probe intensities. Introduction to special issue on machine learning approaches to shallow parsing.

This article introduces the problem of partial or shallow parsing assigning partial syntactic structure to sentences and explains why it is an important natural language processing NLP task. The complexity of the task makes Machine Learning an attractive option in comparison to the handcrafting. Error propagation is a common problem in NLP. Reinforcement learning explores erroneous states during training and can therefore be more robust when mistakes are made early in a process.

In this paper, we apply reinforcement learning to greedy dependency parsing which is known to suffer from error. Fuzzy context-free languages - Part 2: Recognition and parsing algorithms. In a companion paper [P. Asveld, Fuzzy context-free languagesPart 1: Generalized fuzzy context-free grammars, Theoret. Integrating high dimensional bi-directional parsing models for gene mention tagging. Tagging gene and gene product mentions in scientific text is an important initial step of literature mining.

In this article, we describe in detail our gene mention tagger participated in BioCreative 2 challenge and analyze what contributes to its good performance. Our tagger is based on the conditional random fields model CRF , the most prevailing method for the gene mention tagging task in BioCreative 2. Our tagger is interesting because it accomplished the highest F-scores among CRF-based methods and second over all.

Moreover, we obtained our results by mostly applying open source packages, making it easy to duplicate our results. We first describe in detail how we developed our CRF-based tagger. We designed a very high dimensional feature set that includes most of information that may be relevant. We trained bi-directional CRF models with the same set of features, one applies forward parsing and the other backward, and integrated two models based on the output scores and dictionary filtering.

One of the most prominent factors that contributes to the good performance of our tagger is the integration of an additional backward parsing model. However, from the definition of CRF, it appears that a CRF model is symmetric and bi-directional parsing models will produce the same results. We show that due to different feature settings, a CRF model can be asymmetric and the feature setting for our tagger in BioCreative 2 not only produces different results but also gives backward parsing models slight but constant advantage over forward parsing model.

To fully explore the potential of integrating bi-directional parsing models, we applied different asymmetric feature settings to generate many bi-directional parsing models and integrate them based on the output scores. Experimental results show that this integrated model can achieve even higher F-score solely based on the training corpus for gene mention tagging. Data sets, programs and an on-line service of our gene.

Pippi — Painless parsing , post-processing and plotting of posterior and likelihood samples. Interpreting samples from likelihood or posterior probability density functions is rarely as straightforward as it seems it should be. Producing publication-quality graphics of these distributions is often similarly painful.

In this short note I describe pippi, a simple, publicly available package for parsing and post-processing such samples, as well as generating high-quality PDF graphics of the results. Pippi is easily and extensively configurable and customisable, both in its options for parsing and post-processing samples, and in the visual aspects of the figures it produces. I illustrate some of these using an existing supersymmetric global fit, performed in the context of a gamma-ray search for dark matter.

Full Text Available OpenRefine is a powerful tool for exploring, cleaning, and transforming data. In this paper, we apply reinforcement learning to greedy dependency parsing which is known to suffer from error propagation. Reinforcement learning improves accuracy of both labeled and unlabeled dependencies of the Stanford Neural Dependency Parser, a high performance greedy parser, while maintaining its eff In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding.

We present an end-to-end graph-based neural network dependency parser that can be trained to reproduce matrices of edge scores, which can be directly projected across word alignments. We show that our approach to cross-lingual dependency parsing is not only simpler, but also achieves an absolute improvement of 2.

Is human sentence parsing serial or parallel? Evidence from event-related brain potentials. In this ERP study we investigate the processes that occur in syntactically ambiguous German sentences at the point of disambiguation. Whereas most psycholinguistic theories agree on the view that processing difficulties arise when parsing preferences are disconfirmed so-called garden-path effects , important differences exist with respect to theoretical assumptions about the parser's recovery from a misparse.

A key distinction can be made between parsers that compute all alternative syntactic structures in parallel parallel parsers and parsers that compute only a single preferred analysis serial parsers. To distinguish empirically between parallel and serial parsing models, we compare ERP responses to garden-path sentences with ERP responses to truly ungrammatical sentences.

Garden-path sentences contain a temporary and ultimately curable ungrammaticality, whereas truly ungrammatical sentences remain so permanently--a difference which gives rise to different predictions in the two classes of parsing architectures. At the disambiguating word, ERPs in both sentence types show negative shifts of similar onset latency, amplitude, and scalp distribution in an initial time window between and ms.

In a following time window ms , the negative shift to garden-path sentences disappears at right central parietal sites, while it continues in permanently ungrammatical sentences. These data are taken as evidence for a strictly serial parser. The absence of a difference in the early time window indicates that temporary and permanent ungrammaticalities trigger the same kind of parsing responses.

Later differences can be related to successful reanalysis in garden-path but not in ungrammatical sentences. Copyright Elsevier Science B. This is a challenging problem and is critical for developing computing In the past, there have been a Combining parsers. This paper discusses recent improvements and extensions in Synapse system for inductive inference of context free grammars CFGs from sample strings.

Synapse uses incremental learning, rule generation based on bottom-up parsing , and the search for rule sets. From the result of bottom-up parsing , a rule generation mechanism synthesizes minimum production rules required for parsing positive samples. The improved version also employs a novel search strategy, called serial search in addition to minimum rule set search. The synthesis of grammars by the serial search is faster than the minimum set search in most cases.

On the other hand, the size of the generated CFGs is generally larger than that by the minimum set search, and the system can find no appropriate grammar for some CFL by the serial search. The paper shows experimental results of incremental learning of several fundamental CFGs and compares the methods of rule generation and search strategies. Scientific names in biology act as universal links.

They allow us to cross-reference information about organisms globally. However variations in spelling of scientific names greatly diminish their ability to interconnect data. Such variations may include abbreviations, annotations, misspellings, etc. Authorship is a part of a scientific name and may also differ significantly.

To match all possible variations of a name we need to divide them into their elements and classify each element according to its role. We refer to this as ' parsing ' the name. Parsing categorizes name's elements into those that are stable and those that are prone to change. Names are matched first by combining them according to their stable elements. Matches are then refined by examining their varying elements.

This two stage process dramatically improves the number and quality of matches. It is especially useful for the automatic data exchange within the context of "Big Data" in biology. We introduce Global Names Parser gnparser. It is a Java tool written in Scala language a language for Java Virtual Machine to parse scientific names.

It is based on a Parsing Expression Grammar. The parser can be applied to scientific names of any complexity. It assigns a semantic meaning such as genus name, species epithet, rank, year of publication, authorship, annotations, etc. It is able to work with nested structures as in the names of hybrids.

It is released under an Open source MIT license. Global Names Parser gnparser is a fast, high precision tool for biodiversity informaticians and biologists working with large numbers of scientific names. It can replace expensive and error. Effective analysis of protein samples by mass spectrometry MS requires careful selection and optimization of a range of experimental parameters.

As the output from the primary detection device, the "raw" MS data file can be used to gauge the success of a given sample analysis. However, the closed-source nature of the standard raw MS file can complicate effective parsing of the data contained within. To ease and increase the range of analyses possible, the RawQuant tool was developed to enable parsing of raw MS files derived from Thermo Orbitrap instruments to yield meta and scan data in an openly readable text format.

RawQuant can be commanded to export user-friendly files containing MS 1 , MS 2 , and MS 3 metadata as well as matrices of quantification values based on isobaric tagging approaches. In this study, the utility of RawQuant is demonstrated in several scenarios: 1 reanalysis of shotgun proteomics data for the identification of the human proteome, 2 reanalysis of experiments utilizing isobaric tagging for whole-proteome quantification, and 3 analysis of a novel bacterial proteome and synthetic peptide mixture for assessing quantification accuracy when using isobaric tags.

Together, these analyses successfully demonstrate RawQuant for the efficient parsing and quantification of data from raw Thermo Orbitrap MS files acquired in a range of common proteomics experiments. In addition, the individual analyses using RawQuant highlights parametric considerations in the different experimental sets and suggests targetable areas to improve depth of coverage in identification-focused studies and quantification accuracy when using isobaric tags.

A hierarchical methodology for urban facade parsing from TLS point clouds. The effective and automated parsing of building facades from terrestrial laser scanning TLS point clouds of urban environments is an important research topic in the GIS and remote sensing fields. It is also challenging because of the complexity and great variety of the available 3D building facade layouts as well as the noise and data missing of the input TLS point clouds.

In this paper, we introduce a novel methodology for the accurate and computationally efficient parsing of urban building facades from TLS point clouds. The main novelty of the proposed methodology is that it is a systematic and hierarchical approach that considers, in an adaptive way, the semantic and underlying structures of the urban facades for segmentation and subsequent accurate modeling.

Firstly, the available input point cloud is decomposed into depth planes based on a data-driven method; such layer decomposition enables similarity detection in each depth plane layer. The labeling outcome is then augmented with weak architectural knowledge. Thirdly, least-squares fitted normalized gray accumulative curves are applied to detect regular structures, and a binarization dilation extraction algorithm is used to partition facade elements.

A dynamic line-by-line division is further applied to extract the boundaries of the elements. We have evaluated the performance of the proposed method using several TLS facade datasets. Qualitative and quantitative performance comparisons with several other state-of-the-art methods dealing with the same facade parsing problem have demonstrated its superiority in performance and its effectiveness in improving segmentation accuracy.

Py Parse : a semiautomated system for scoring spoken recall data. Studies of human memory often generate data on the sequence and timing of recalled items, but scoring such data using conventional methods is difficult or impossible.

We describe a Python-based semiautomated system that greatly simplifies this task. This software, called Py Parse , can easily be used in conjunction with many common experiment authoring systems. Scored data is output in a simple ASCII format and can be accessed with the programming language of choice, allowing for the identification of features such as correct responses, prior-list intrusions, extra-list intrusions, and repetitions. Mobile Backend as a Service: the pros and cons of parse.

Using a pre-built backend for an application is an affordable and swift approach to prototyping new application ideas. However, it is advisable to understand the pros and the cons of an MBaaS before deciding to use it. The aim of the thesis was to determine the advantages and disadvantages of using Parse , a provider of mobile backend as a service, in application development.

Full Text Available While it has long been clear that prosody should be part of the grammar influencing the action of the syntactic parser, how to bring prosody into computational models of syntactic parsing has remained unclear. The challenge is that prosodic information in the speech signal is the result of the interaction of a multitude of conditioning factors.

From this output, how can we factor out the contribution of syntax to conditioning prosodic events? And if we are able to do that factorization and define a production model from the syntactic grammar to a prosodified utterance, how can we then define a comprehension model based on that production model? In this case study of the Samoan morphosyntax-prosody interface, we show how to factor out the influence of syntax on prosody in empirical work and confirm there is invariable morphosyntactic conditioning of high edge tones.

Then, we show how this invariability can be precisely characterized and used by a parsing model that factors the various influences of morphosyntax on tonal events. Advances in sequencing technologies challenge the efficient importing and validation of FASTA formatted sequence data which is still a prerequisite for most bioinformatic tools and pipelines.

FastaValidator represents a platform-independent, standardized, light-weight software library written in the Java programming language. It targets computer scientists and bioinformaticians writing software which needs to parse quickly and accurately large amounts of sequence data. For end-users FastaValidator includes an interactive out-of-the-box validation of FASTA formatted files, as well as a non-interactive mode designed for high-throughput validation in software pipelines.

The accuracy and performance of the FastaValidator library qualifies it for large data sets such as those commonly produced by massive parallel NGS technologies. It offers scientists a fast, accurate and standardized method for parsing and validating FASTA formatted sequence data. Parsing partial molar volumes of small molecules: a molecular dynamics study. We used molecular dynamics MD simulations in conjunction with the Kirkwood-Buff theory to compute the partial molar volumes for a number of small solutes of various chemical natures.

We repeated our computations using modified pair potentials, first, in the absence of the Coulombic term and, second, in the absence of the Coulombic and the attractive Lennard-Jones terms. Comparison of our results with experimental data and the volumetric results of Monte Carlo simulation with hard sphere potentials and scaled particle theory-based computations led us to conclude that, for small solutes, the partial molar volume computed with the Lennard-Jones potential in the absence of the Coulombic term nearly coincides with the cavity volume.

On the other hand, MD simulations carried out with the pair interaction potentials containing only the repulsive Lennard-Jones term produce unrealistically large partial molar volumes of solutes that are close to their excluded volumes. Our simulation results are in good agreement with the reported schemes for parsing partial molar volume data on small solutes. In particular, our determined interaction volumes and the thickness of the thermal volume for individual compounds are in good agreement with empirical estimates.

This work is the first computational study that supports and lends credence to the practical algorithms of parsing partial molar volume data that are currently in use for molecular interpretations of volumetric data. Process of 3D wireless decentralized sensor deployment using parsing crossover scheme.

Full Text Available A Wireless Sensor Networks WSN usually consists of numerous wireless devices deployed in a region of interest, each able to collect and process environmental information and communicate with neighboring devices. The problem of sensor deployment becomes non-trivial when we consider environmental factors, such as terrain elevations. Due to the fact that all sensors are homogeneous, the chromosomes that encode sensor positions are actually interchangeable, and conventional crossover schemes such as uniform crossover would cause some redundancy as well as over-concentration in certain specific geographical area.

We propose a Parsing Crossover Scheme that intends to reduce redundancy and ease geographical concentration pattern in an effort to facilitate the search. The proposed parsing crossover method demonstrates better performances than those of uniform crossover under different terrain irregularities. This paper presents an attribute and-or grammar A-AOG model for jointly inferring human body pose and human attributes in a parse graph with attributes augmented to nodes in the hierarchical representation.

In contrast to other popular methods in the current literature that train separate classifiers for poses and individual attributes, our method explicitly represents the decomposition and articulation of body parts, and account for the correlations between poses and attributes. The A-AOG model is an amalgamation of three traditional grammar formulations: i Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; ii Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and iii Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style.

The parse graph outputs human detection, pose estimation, and attribute prediction simultaneously, which are intuitive and interpretable. We conduct experiments on two tasks on two datasets, and experimental results demonstrate the advantage of joint modeling in comparison with computing poses and attributes independently. Furthermore, our model obtains better performance over existing methods for both pose estimation and attribute prediction tasks. The extent to which the sleeping brain processes sensory information remains unclear.

This is particularly true for continuous and complex stimuli such as speech, in which information is organized into hierarchically embedded structures. Recently, novel metrics for assessing the neural representation of continuous speech have been developed using noninvasive brain recordings that have thus far only been tested during wakefulness.

Here we investigated, for the first time, the sleeping brain's capacity to process continuous speech at different hierarchical levels using a newly developed Concurrent Hierarchical Tracking CHT approach that allows monitoring the neural representation and processing-depth of continuous speech online. Speech sequences were compiled with syllables, words, phrases, and sentences occurring at fixed time intervals such that different linguistic levels correspond to distinct frequencies.

This enabled us to distinguish their neural signatures in brain activity. We compared the neural tracking of intelligible versus unintelligible scrambled and foreign speech across states of wakefulness and sleep using high-density EEG in humans. We found that neural tracking of stimulus acoustics was comparable across wakefulness and sleep and similar across all conditions regardless of speech intelligibility. In contrast, neural tracking of higher-order linguistic constructs words, phrases, and sentences was only observed for intelligible speech during wakefulness and could not be detected at all during nonrapid eye movement or rapid eye movement sleep.

These results suggest that, whereas low-level auditory processing is relatively preserved during sleep, higher-level hierarchical linguistic parsing is severely disrupted, thereby revealing the capacity and limits of language processing during sleep. Owing to wide application of RNA sequencing RNA-seq technology, more and more eukaryotic genomes have been extensively annotated, such as the gene structure, alternative splicing, and noncoding loci.

Annotation information of genome is prevalently stored as plain text in General Feature Format GFF , which could be hundreds or thousands Mb in size. Therefore, it is a challenge for manipulating GFF file for biologists who have no bioinformatic skill. In this study, we provide a web server GFFview for parsing the annotation information of eukaryotic genome and then generating statistical description of six indices for visualization.

GFFview is very useful for investigating quality and difference of the de novo assembled transcriptome in RNA-seq studies. Full Text Available This essay offers two methods that will help students resist the temptation to judge eighteenth-century novels by twenty-first-century standards. A Python package for parsing , validating, mapping and formatting sequence variants using HGVS nomenclature.

Biological sequence variants are commonly represented in scientific literature, clinical reports and databases of variation using the mutation nomenclature guidelines endorsed by the Human Genome Variation Society HGVS. Despite the widespread use of the standard, no freely available and comprehensive programming libraries are available. Here we report an open-source and easy-to-use Python library that facilitates the parsing , manipulation, formatting and validation of variants according to the HGVS specification.

The current implementation focuses on the subset of the HGVS recommendations that precisely describe sequence-level variation relevant to the application of high-throughput sequencing to clinical diagnostics. The package is released under the Apache 2. Supplementary data are available at Bioinformatics online. Published by Oxford University Press. Full Text Available Business software development with global team is increasing rapidly and the programming language as development tool takes the important role in the global web development.

The real user friendly programming language should be written in local language for programmer who has native language is not in English. Researcher propose the implementation of Indonesian Parsing Engine and Binary Search Tree structure for memory allocation of variable and compose the language features that support basic Object Oriented Programming, Common Gateway Interface, HTML style manipulation and database connection.

Our goal is to build real programming language from simple structure design for web development using Indonesian lexical words. Pengembangan bisnis perangkat lunak dalam tim berskala global meningkat dengan cepat dan bahasa pemrograman berperan penting dalam pengembangan web secara global. Bahasa pemrograman yang benar-benar ramah terhadap pengguna harus ditulis dalam bahasa lokal programmer yang bahasa ibunya bukan Bahasa Inggris.

Peneliti mengusulkan implementasi dari parsing engine Bahasa Indonesia dan struktur binary search tree untuk alokasi memori terhadap variabel, serta membuat fitur bahasa yang mendukung dasar pemrograman berbasis objek, common gateway interface, manipulasi gaya HTML, dan koneksi basis data. Tujuan penelitian ini adalah untuk menciptakan bahasa pemrograman yang sesungguhnya dan menggunakan desain struktur sederhana untuk pengembangan web dengan menggunakan kata-kata dari Bahasa Indonesia.

Esta demanda se suele concretar en un pacto-compromiso que se establece persona-profesional. When a person comes to the Health Care System with a health problem will often be asked to change some of his habits and lifestyles. This demand becomes a compromise-pact between the person and the professional.

We have observed that in this compromise-pact, despite the effort of the professional to hide it behind realist targets, the patient usually becomes frustrated, especially in cases of chronic illnesses. Parse 's theory offers us a different way to approach the change.

In Parse 's theory, The Human Becoming, the possibles are the expression of power, understood as a unique way of transformation, consisting in advancing with the hopes, desires and projects of a person. We suggest, first of all, an analysis of the elements that Parse calls her third principle: co-transcendence with the possibles; secondly, the analysis of the possibles from the basis of this reference framework through a narration and, finally.

Included in the description are: documentation of user commands; full description of permitted accelerator elements and their attributes; the construction of beamline lists; the mechanics of adding LIBXSIF to an existing program; and ''under the hood'' details for users who wish to modify the library or are merely morbidly curious.

Synchrotrons can be used to generate X-rays in order to probe materials at the atomic level. One approach is to use X-ray diffraction XRD to do this. The data from an XRD experiment consists of a sequence of digital image files which for a single scan could consist of hundreds or even thousands of digital images. Existing analysis software processes these images individually sequentially and is usually used after the experiment is completed. The results from an XRD detector can be thought of as a sequence of images, generated during the scan by the X-ray beam.

If these images could be analyzed in near real-time, the results could be sent to the researcher running the experiment and used to improve the overall experimental process and results. In this paper, we report on a stream processing application to remove background from XRD images using a pipelining implementation. We present experimental results showing the super-linear speedup attained over a purely sequential version of the algorithm on a quad-core machine.

These results demonstrate the potential of making good use of multi-cores for high-performance stream processing of XRD images. Parsing pyrogenic polycyclic aromatic hydrocarbons: forensic chemistry, receptor models, and source control policy.

A realistic understanding of contaminant sources is required to set appropriate control policy. Forensic chemical methods can be powerful tools in source characterization and identification, but they require a multiple-lines-of-evidence approach. This paper describes the assumptions underlying receptor models and discusses challenges in complying with these assumptions in practice.

Given the variability within, and the similarity among, pyrogenic PAH source types, model outputs are sensitive to specific inputs, and parsing among some source types may not be possible. Although still useful for identifying potential sources, the technical specialist applying these methods must describe both the results and their inherent uncertainties in a way that is understandable to nontechnical policy makers.

The authors present an example case study concerning an investigation of a class of parking-lot sealers as a significant source of PAHs in urban sediment. Principal component analysis is used to evaluate published CMB model inputs and outputs. Targeted analyses of 2 areas where bans have been implemented are included.

The results do not support the claim that parking-lot sealers are a significant source of PAHs in urban sediments. The Lexicographic Modeling. The dependency hypergraph of the third SCD configuration, interconnected to the one of the second SCD configuration, is specified completely at the atomic sense level for the first time, exceeding the SCD configuration modeling for other five dictionaries [15], [14].

Thermo-msf-parser: an open source Java library to parse and visualize Thermo Proteome Discoverer msf files. The Thermo Proteome Discoverer program integrates both peptide identification and quantification into a single workflow for peptide-centric proteomics. Furthermore, its close integration with Thermo mass spectrometers has made it increasingly popular in the field.

Here, we present a Java library to parse the msf files that constitute the output of Proteome Discoverer. The parser is also implemented as a graphical user interface allowing convenient access to the information found in the msf files, and in Rover, a program to analyze and validate quantitative proteomics information. Kamus bahasa Arab yang beredar di pasaran sulit dipahami karena minimnya pengetahuan tentang ilmu tata bahasa Arab di kalangan umat Islam.

Pada penelitian ini dikembangkan sebuah perangkat lunak yang berfungsi menerjemahkan kata berbahasa Arab dengan metode parsing sehingga dapat mencakup kata-kata yang telah mengalami perubahan bentuk dari bentuk dasarnya.

Karena kata bahasa Arab memiliki turunan kata yang jumlahnya cukup besar, dan supaya kamus efisien, maka tidak semua turunan kata disimpan dalam basisdata. Oleh sebab itu diperlukan suatu cara untuk mengenali pola kata, dan cara mengetahui bentuk dasar suatu kata. Keseluruhan perangkat lunak ini diimplementasikan berbasis web sehingga memudahkan pengaksesan pengguna. Dan pengguna tidak memerlukan proses instalasi perangkat lunak atau sistem operasi tertentu. Pembuatan perangkat lunak ini didahului dengan perancangan proses dan perancangan interface.

Kemudian rancangan tersebut diimplementasikan menjadi sebuah perangkat lunak yang siap untuk dipakai. Perangkat lunak yang sudah jadi tersebut telah diuji coba sesuai dengan spesifikasi kebutuhan. Full Text Available —This research study focused on the development of a software that helps students design, write, validate and run their pseudocode in a semi Integrated Development Environment IDE instead of manually writing it on a piece of paper. Specifically, the study aimed to develop lexical analyzer or lexer, syntax analyzer or parser using recursive descent parsing algorithm and an interpreter.

The lexical analyzer reads pseudocodesource in a sequence of symbols or characters as lexemes. The lexemes are then analyzed by the lexer that matches a pattern for valid tokens and passes to the syntax analyzer or parser. The syntax analyzer or parser takes those valid tokens and builds meaningful commands using recursive descent parsing algorithm in a form of an abstract syntax tree. The generation of an abstract syntax tree is based on the specified grammar rule created by the researcher expressed in Extended Backus-Naur Form.

The Interpreter takes the generated abstract syntax tree and starts the evaluation or interpretation to produce pseudocode output. The software was evaluated using white-box testing by several ICT professionals and black-box testing by several computer science students based on the International Organization for Standardization ISO software quality standards.

The effect of recognizability on figure-ground processing: does it affect parsing or only figure selection? Though figure-ground assignment has been shown to be probably affected by recognizability, it appears sensible that object recognition must follow at least the earlier process of figure-ground segregation. The white figure of the to-be-attended stimulus-target or foil-could be segregated from the white ambient ground only by means of a frame surrounding it.

Such a frame was absent until the onset of target display. Then, to manipulate organizational quality, the greyness of the frame was either gradually increased from zero in Experiment 1 or changed abruptly to a stationary level whose greyness was varied between trials in Experiments 2 and 3. Stimulus recognizability was manipulated by orientation angle.

In all three experiments the effect of recognizability was found to be considerably larger when organizational quality was minimal due to an extremely faint frame. This result is argued to be incompatible with any version of a serial thesis suggesting that processing aimed at object recognition starts only with a good enough level of organizational quality.

The experiments rather provide some support to the claim, termed here "early interaction hypothesis", positing interaction between early recognition processing and preassignment parsing processes. Proposes a dynamical systems approach to parsing in which syntactic hypotheses are associated with attractors in a metric space. The experiments discussed documented various contingent frequency effects that cut across traditional linguistic grains, each of which was predicted by the dynamical systems model.

Stem and progenitor cells that exhibit significant regenerative potential and critical roles in cancer initiation and progression remain difficult to characterize. Here we applied high-content, single cell analysis of nuclear shape and organization to examine stem and progenitor cells destined to distinct differentiation endpoints, yet undistinguishable by conventional methods. Nuclear descriptors defined through image informatics classified mesenchymal stem cells poised to either adipogenic or osteogenic differentiation, and oligodendrocyte precursors isolated from different regions of the brain and destined to distinct astrocyte subtypes.

Nuclear descriptors also revealed early changes in stem cells after chemical oncogenesis, allowing the identification of a class of cancer-mitigating biomaterials. A comparative analysis of parsing outcomes via either nuclear shape or textural metrics of the nuclear structural protein NuMA indicates the nuclear shape alone is a weak phenotypic predictor. In contrast, variations in the NuMA organization parsed emergent cell phenotypes and discerned emergent stages of stem cell transformation, supporting a prognosticating role for this protein in the outcomes of nuclear functions.

Conceptual plural information is used to guide early parsing decisions: Evidence from garden-path sentences with reciprocal verbs. In three eyetracking studies, we investigated the role of conceptual plurality in initial parsing decisions in temporarily ambiguous sentences with reciprocal verbs e. We varied the subject of the first clause using three types of plural noun phrases: conjoined noun phrases the bride and the groom , plural definite descriptions the lovers , and numerically quantified noun phrases the two lovers.

In addition, we tested plural anaphors that had a plural antecedent present in the discourse. We found that when the antecedent was conjoined, garden-path effects were absent compared to cases in which the antecedent was a plural definite description. Our results indicate that the parser is sensitive to the conceptual representation of a plural constituent. In particular, it appears that a Complex Reference Object Moxey et al.

Here we present SmilesDrawer, a dependency-free JavaScript component capable of both parsing and drawing SMILES-encoded molecular structures client-side, developed to be easily integrated into web projects and to display organic molecules in large numbers and fast succession. SmilesDrawer can draw structurally and stereochemically complex structures such as maitotoxin and C 60 without using templates, yet has an exceptionally small computational footprint and low memory usage without the requirement for loading images or any other form of client-server communication, making it easy to integrate even in secure intranet, firewalled or offline applications.

These features allow the rendering of thousands of molecular structure drawings on a single web page within seconds on a wide range of hardware supporting modern browsers. Both yarn and npm packages are also available.

To capture the metrology of nuclear changes, we developed a simple and quantitative "imaging-derived" parsing index, which reflects the dynamic evolution of the high-dimensional space of nuclear organizational features. Asveld, Fuzzy context-free languagesPart 1: Generalized fuzzy context-free grammars, Theoret. Integrating high dimensional bi-directional parsing models for gene mention tagging.

Tagging gene and gene product mentions in scientific text is an important initial step of literature mining. In this article, we describe in detail our gene mention tagger participated in BioCreative 2 challenge and analyze what contributes to its good performance. Our tagger is based on the conditional random fields model CRF , the most prevailing method for the gene mention tagging task in BioCreative 2.

Our tagger is interesting because it accomplished the highest F-scores among CRF-based methods and second over all. Moreover, we obtained our results by mostly applying open source packages, making it easy to duplicate our results. We first describe in detail how we developed our CRF-based tagger. We designed a very high dimensional feature set that includes most of information that may be relevant. We trained bi-directional CRF models with the same set of features, one applies forward parsing and the other backward, and integrated two models based on the output scores and dictionary filtering.

One of the most prominent factors that contributes to the good performance of our tagger is the integration of an additional backward parsing model. However, from the definition of CRF, it appears that a CRF model is symmetric and bi-directional parsing models will produce the same results. We show that due to different feature settings, a CRF model can be asymmetric and the feature setting for our tagger in BioCreative 2 not only produces different results but also gives backward parsing models slight but constant advantage over forward parsing model.

To fully explore the potential of integrating bi-directional parsing models, we applied different asymmetric feature settings to generate many bi-directional parsing models and integrate them based on the output scores. Experimental results show that this integrated model can achieve even higher F-score solely based on the training corpus for gene mention tagging.

Data sets, programs and an on-line service of our gene. Pippi — Painless parsing , post-processing and plotting of posterior and likelihood samples. Interpreting samples from likelihood or posterior probability density functions is rarely as straightforward as it seems it should be.

Producing publication-quality graphics of these distributions is often similarly painful. In this short note I describe pippi, a simple, publicly available package for parsing and post-processing such samples, as well as generating high-quality PDF graphics of the results.

Pippi is easily and extensively configurable and customisable, both in its options for parsing and post-processing samples, and in the visual aspects of the figures it produces. I illustrate some of these using an existing supersymmetric global fit, performed in the context of a gamma-ray search for dark matter. Full Text Available OpenRefine is a powerful tool for exploring, cleaning, and transforming data.

In this paper, we apply reinforcement learning to greedy dependency parsing which is known to suffer from error propagation. Reinforcement learning improves accuracy of both labeled and unlabeled dependencies of the Stanford Neural Dependency Parser, a high performance greedy parser, while maintaining its eff In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding.

We present an end-to-end graph-based neural network dependency parser that can be trained to reproduce matrices of edge scores, which can be directly projected across word alignments. We show that our approach to cross-lingual dependency parsing is not only simpler, but also achieves an absolute improvement of 2.

Is human sentence parsing serial or parallel? Evidence from event-related brain potentials. In this ERP study we investigate the processes that occur in syntactically ambiguous German sentences at the point of disambiguation. Whereas most psycholinguistic theories agree on the view that processing difficulties arise when parsing preferences are disconfirmed so-called garden-path effects , important differences exist with respect to theoretical assumptions about the parser's recovery from a misparse.

A key distinction can be made between parsers that compute all alternative syntactic structures in parallel parallel parsers and parsers that compute only a single preferred analysis serial parsers. To distinguish empirically between parallel and serial parsing models, we compare ERP responses to garden-path sentences with ERP responses to truly ungrammatical sentences. Garden-path sentences contain a temporary and ultimately curable ungrammaticality, whereas truly ungrammatical sentences remain so permanently--a difference which gives rise to different predictions in the two classes of parsing architectures.

At the disambiguating word, ERPs in both sentence types show negative shifts of similar onset latency, amplitude, and scalp distribution in an initial time window between and ms. In a following time window ms , the negative shift to garden-path sentences disappears at right central parietal sites, while it continues in permanently ungrammatical sentences. These data are taken as evidence for a strictly serial parser.

The absence of a difference in the early time window indicates that temporary and permanent ungrammaticalities trigger the same kind of parsing responses. Later differences can be related to successful reanalysis in garden-path but not in ungrammatical sentences.

Copyright Elsevier Science B. This is a challenging problem and is critical for developing computing In the past, there have been a Combining parsers. This paper discusses recent improvements and extensions in Synapse system for inductive inference of context free grammars CFGs from sample strings. Synapse uses incremental learning, rule generation based on bottom-up parsing , and the search for rule sets. From the result of bottom-up parsing , a rule generation mechanism synthesizes minimum production rules required for parsing positive samples.

The improved version also employs a novel search strategy, called serial search in addition to minimum rule set search. The synthesis of grammars by the serial search is faster than the minimum set search in most cases. On the other hand, the size of the generated CFGs is generally larger than that by the minimum set search, and the system can find no appropriate grammar for some CFL by the serial search.

The paper shows experimental results of incremental learning of several fundamental CFGs and compares the methods of rule generation and search strategies. Scientific names in biology act as universal links. They allow us to cross-reference information about organisms globally. However variations in spelling of scientific names greatly diminish their ability to interconnect data.

Such variations may include abbreviations, annotations, misspellings, etc. Authorship is a part of a scientific name and may also differ significantly. To match all possible variations of a name we need to divide them into their elements and classify each element according to its role.

We refer to this as ' parsing ' the name. Parsing categorizes name's elements into those that are stable and those that are prone to change. Names are matched first by combining them according to their stable elements. Matches are then refined by examining their varying elements.

This two stage process dramatically improves the number and quality of matches. It is especially useful for the automatic data exchange within the context of "Big Data" in biology. We introduce Global Names Parser gnparser. It is a Java tool written in Scala language a language for Java Virtual Machine to parse scientific names.

It is based on a Parsing Expression Grammar. The parser can be applied to scientific names of any complexity. It assigns a semantic meaning such as genus name, species epithet, rank, year of publication, authorship, annotations, etc. It is able to work with nested structures as in the names of hybrids.

It is released under an Open source MIT license. Global Names Parser gnparser is a fast, high precision tool for biodiversity informaticians and biologists working with large numbers of scientific names. It can replace expensive and error. Effective analysis of protein samples by mass spectrometry MS requires careful selection and optimization of a range of experimental parameters.

As the output from the primary detection device, the "raw" MS data file can be used to gauge the success of a given sample analysis. However, the closed-source nature of the standard raw MS file can complicate effective parsing of the data contained within. To ease and increase the range of analyses possible, the RawQuant tool was developed to enable parsing of raw MS files derived from Thermo Orbitrap instruments to yield meta and scan data in an openly readable text format.

RawQuant can be commanded to export user-friendly files containing MS 1 , MS 2 , and MS 3 metadata as well as matrices of quantification values based on isobaric tagging approaches. In this study, the utility of RawQuant is demonstrated in several scenarios: 1 reanalysis of shotgun proteomics data for the identification of the human proteome, 2 reanalysis of experiments utilizing isobaric tagging for whole-proteome quantification, and 3 analysis of a novel bacterial proteome and synthetic peptide mixture for assessing quantification accuracy when using isobaric tags.

Together, these analyses successfully demonstrate RawQuant for the efficient parsing and quantification of data from raw Thermo Orbitrap MS files acquired in a range of common proteomics experiments. In addition, the individual analyses using RawQuant highlights parametric considerations in the different experimental sets and suggests targetable areas to improve depth of coverage in identification-focused studies and quantification accuracy when using isobaric tags.

A hierarchical methodology for urban facade parsing from TLS point clouds. The effective and automated parsing of building facades from terrestrial laser scanning TLS point clouds of urban environments is an important research topic in the GIS and remote sensing fields. It is also challenging because of the complexity and great variety of the available 3D building facade layouts as well as the noise and data missing of the input TLS point clouds. In this paper, we introduce a novel methodology for the accurate and computationally efficient parsing of urban building facades from TLS point clouds.

The main novelty of the proposed methodology is that it is a systematic and hierarchical approach that considers, in an adaptive way, the semantic and underlying structures of the urban facades for segmentation and subsequent accurate modeling. Firstly, the available input point cloud is decomposed into depth planes based on a data-driven method; such layer decomposition enables similarity detection in each depth plane layer.

The labeling outcome is then augmented with weak architectural knowledge. Thirdly, least-squares fitted normalized gray accumulative curves are applied to detect regular structures, and a binarization dilation extraction algorithm is used to partition facade elements. A dynamic line-by-line division is further applied to extract the boundaries of the elements. We have evaluated the performance of the proposed method using several TLS facade datasets.

Qualitative and quantitative performance comparisons with several other state-of-the-art methods dealing with the same facade parsing problem have demonstrated its superiority in performance and its effectiveness in improving segmentation accuracy.

Py Parse : a semiautomated system for scoring spoken recall data. Studies of human memory often generate data on the sequence and timing of recalled items, but scoring such data using conventional methods is difficult or impossible. We describe a Python-based semiautomated system that greatly simplifies this task. This software, called Py Parse , can easily be used in conjunction with many common experiment authoring systems.

Scored data is output in a simple ASCII format and can be accessed with the programming language of choice, allowing for the identification of features such as correct responses, prior-list intrusions, extra-list intrusions, and repetitions. Mobile Backend as a Service: the pros and cons of parse. Using a pre-built backend for an application is an affordable and swift approach to prototyping new application ideas.

However, it is advisable to understand the pros and the cons of an MBaaS before deciding to use it. The aim of the thesis was to determine the advantages and disadvantages of using Parse , a provider of mobile backend as a service, in application development. Full Text Available While it has long been clear that prosody should be part of the grammar influencing the action of the syntactic parser, how to bring prosody into computational models of syntactic parsing has remained unclear.

The challenge is that prosodic information in the speech signal is the result of the interaction of a multitude of conditioning factors. From this output, how can we factor out the contribution of syntax to conditioning prosodic events? And if we are able to do that factorization and define a production model from the syntactic grammar to a prosodified utterance, how can we then define a comprehension model based on that production model?

In this case study of the Samoan morphosyntax-prosody interface, we show how to factor out the influence of syntax on prosody in empirical work and confirm there is invariable morphosyntactic conditioning of high edge tones.

Then, we show how this invariability can be precisely characterized and used by a parsing model that factors the various influences of morphosyntax on tonal events. Advances in sequencing technologies challenge the efficient importing and validation of FASTA formatted sequence data which is still a prerequisite for most bioinformatic tools and pipelines.

FastaValidator represents a platform-independent, standardized, light-weight software library written in the Java programming language. It targets computer scientists and bioinformaticians writing software which needs to parse quickly and accurately large amounts of sequence data. For end-users FastaValidator includes an interactive out-of-the-box validation of FASTA formatted files, as well as a non-interactive mode designed for high-throughput validation in software pipelines.

The accuracy and performance of the FastaValidator library qualifies it for large data sets such as those commonly produced by massive parallel NGS technologies. It offers scientists a fast, accurate and standardized method for parsing and validating FASTA formatted sequence data. Parsing partial molar volumes of small molecules: a molecular dynamics study.

We used molecular dynamics MD simulations in conjunction with the Kirkwood-Buff theory to compute the partial molar volumes for a number of small solutes of various chemical natures. We repeated our computations using modified pair potentials, first, in the absence of the Coulombic term and, second, in the absence of the Coulombic and the attractive Lennard-Jones terms.

Comparison of our results with experimental data and the volumetric results of Monte Carlo simulation with hard sphere potentials and scaled particle theory-based computations led us to conclude that, for small solutes, the partial molar volume computed with the Lennard-Jones potential in the absence of the Coulombic term nearly coincides with the cavity volume.

On the other hand, MD simulations carried out with the pair interaction potentials containing only the repulsive Lennard-Jones term produce unrealistically large partial molar volumes of solutes that are close to their excluded volumes. Our simulation results are in good agreement with the reported schemes for parsing partial molar volume data on small solutes.

In particular, our determined interaction volumes and the thickness of the thermal volume for individual compounds are in good agreement with empirical estimates. This work is the first computational study that supports and lends credence to the practical algorithms of parsing partial molar volume data that are currently in use for molecular interpretations of volumetric data. Process of 3D wireless decentralized sensor deployment using parsing crossover scheme. Full Text Available A Wireless Sensor Networks WSN usually consists of numerous wireless devices deployed in a region of interest, each able to collect and process environmental information and communicate with neighboring devices.

The problem of sensor deployment becomes non-trivial when we consider environmental factors, such as terrain elevations. Due to the fact that all sensors are homogeneous, the chromosomes that encode sensor positions are actually interchangeable, and conventional crossover schemes such as uniform crossover would cause some redundancy as well as over-concentration in certain specific geographical area.

We propose a Parsing Crossover Scheme that intends to reduce redundancy and ease geographical concentration pattern in an effort to facilitate the search. The proposed parsing crossover method demonstrates better performances than those of uniform crossover under different terrain irregularities. This paper presents an attribute and-or grammar A-AOG model for jointly inferring human body pose and human attributes in a parse graph with attributes augmented to nodes in the hierarchical representation.

In contrast to other popular methods in the current literature that train separate classifiers for poses and individual attributes, our method explicitly represents the decomposition and articulation of body parts, and account for the correlations between poses and attributes. The A-AOG model is an amalgamation of three traditional grammar formulations: i Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; ii Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and iii Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style.

The parse graph outputs human detection, pose estimation, and attribute prediction simultaneously, which are intuitive and interpretable. We conduct experiments on two tasks on two datasets, and experimental results demonstrate the advantage of joint modeling in comparison with computing poses and attributes independently.

Furthermore, our model obtains better performance over existing methods for both pose estimation and attribute prediction tasks. The extent to which the sleeping brain processes sensory information remains unclear. This is particularly true for continuous and complex stimuli such as speech, in which information is organized into hierarchically embedded structures. Recently, novel metrics for assessing the neural representation of continuous speech have been developed using noninvasive brain recordings that have thus far only been tested during wakefulness.

Here we investigated, for the first time, the sleeping brain's capacity to process continuous speech at different hierarchical levels using a newly developed Concurrent Hierarchical Tracking CHT approach that allows monitoring the neural representation and processing-depth of continuous speech online. Speech sequences were compiled with syllables, words, phrases, and sentences occurring at fixed time intervals such that different linguistic levels correspond to distinct frequencies.

This enabled us to distinguish their neural signatures in brain activity. We compared the neural tracking of intelligible versus unintelligible scrambled and foreign speech across states of wakefulness and sleep using high-density EEG in humans. We found that neural tracking of stimulus acoustics was comparable across wakefulness and sleep and similar across all conditions regardless of speech intelligibility.

In contrast, neural tracking of higher-order linguistic constructs words, phrases, and sentences was only observed for intelligible speech during wakefulness and could not be detected at all during nonrapid eye movement or rapid eye movement sleep. These results suggest that, whereas low-level auditory processing is relatively preserved during sleep, higher-level hierarchical linguistic parsing is severely disrupted, thereby revealing the capacity and limits of language processing during sleep.

Owing to wide application of RNA sequencing RNA-seq technology, more and more eukaryotic genomes have been extensively annotated, such as the gene structure, alternative splicing, and noncoding loci. Annotation information of genome is prevalently stored as plain text in General Feature Format GFF , which could be hundreds or thousands Mb in size.

Therefore, it is a challenge for manipulating GFF file for biologists who have no bioinformatic skill. In this study, we provide a web server GFFview for parsing the annotation information of eukaryotic genome and then generating statistical description of six indices for visualization. GFFview is very useful for investigating quality and difference of the de novo assembled transcriptome in RNA-seq studies.

Full Text Available This essay offers two methods that will help students resist the temptation to judge eighteenth-century novels by twenty-first-century standards. A Python package for parsing , validating, mapping and formatting sequence variants using HGVS nomenclature. Biological sequence variants are commonly represented in scientific literature, clinical reports and databases of variation using the mutation nomenclature guidelines endorsed by the Human Genome Variation Society HGVS.

Despite the widespread use of the standard, no freely available and comprehensive programming libraries are available. Here we report an open-source and easy-to-use Python library that facilitates the parsing , manipulation, formatting and validation of variants according to the HGVS specification. The current implementation focuses on the subset of the HGVS recommendations that precisely describe sequence-level variation relevant to the application of high-throughput sequencing to clinical diagnostics.

The package is released under the Apache 2. Supplementary data are available at Bioinformatics online. Published by Oxford University Press. Full Text Available Business software development with global team is increasing rapidly and the programming language as development tool takes the important role in the global web development.

The real user friendly programming language should be written in local language for programmer who has native language is not in English. Researcher propose the implementation of Indonesian Parsing Engine and Binary Search Tree structure for memory allocation of variable and compose the language features that support basic Object Oriented Programming, Common Gateway Interface, HTML style manipulation and database connection. Our goal is to build real programming language from simple structure design for web development using Indonesian lexical words.

Pengembangan bisnis perangkat lunak dalam tim berskala global meningkat dengan cepat dan bahasa pemrograman berperan penting dalam pengembangan web secara global. Bahasa pemrograman yang benar-benar ramah terhadap pengguna harus ditulis dalam bahasa lokal programmer yang bahasa ibunya bukan Bahasa Inggris. Peneliti mengusulkan implementasi dari parsing engine Bahasa Indonesia dan struktur binary search tree untuk alokasi memori terhadap variabel, serta membuat fitur bahasa yang mendukung dasar pemrograman berbasis objek, common gateway interface, manipulasi gaya HTML, dan koneksi basis data.

Tujuan penelitian ini adalah untuk menciptakan bahasa pemrograman yang sesungguhnya dan menggunakan desain struktur sederhana untuk pengembangan web dengan menggunakan kata-kata dari Bahasa Indonesia.

Esta demanda se suele concretar en un pacto-compromiso que se establece persona-profesional. When a person comes to the Health Care System with a health problem will often be asked to change some of his habits and lifestyles. This demand becomes a compromise-pact between the person and the professional. We have observed that in this compromise-pact, despite the effort of the professional to hide it behind realist targets, the patient usually becomes frustrated, especially in cases of chronic illnesses.

Parse 's theory offers us a different way to approach the change. In Parse 's theory, The Human Becoming, the possibles are the expression of power, understood as a unique way of transformation, consisting in advancing with the hopes, desires and projects of a person.

We suggest, first of all, an analysis of the elements that Parse calls her third principle: co-transcendence with the possibles; secondly, the analysis of the possibles from the basis of this reference framework through a narration and, finally. Included in the description are: documentation of user commands; full description of permitted accelerator elements and their attributes; the construction of beamline lists; the mechanics of adding LIBXSIF to an existing program; and ''under the hood'' details for users who wish to modify the library or are merely morbidly curious.

Synchrotrons can be used to generate X-rays in order to probe materials at the atomic level. One approach is to use X-ray diffraction XRD to do this. The data from an XRD experiment consists of a sequence of digital image files which for a single scan could consist of hundreds or even thousands of digital images.

Existing analysis software processes these images individually sequentially and is usually used after the experiment is completed. The results from an XRD detector can be thought of as a sequence of images, generated during the scan by the X-ray beam. If these images could be analyzed in near real-time, the results could be sent to the researcher running the experiment and used to improve the overall experimental process and results.

In this paper, we report on a stream processing application to remove background from XRD images using a pipelining implementation. We present experimental results showing the super-linear speedup attained over a purely sequential version of the algorithm on a quad-core machine. These results demonstrate the potential of making good use of multi-cores for high-performance stream processing of XRD images.

Parsing pyrogenic polycyclic aromatic hydrocarbons: forensic chemistry, receptor models, and source control policy. A realistic understanding of contaminant sources is required to set appropriate control policy. Forensic chemical methods can be powerful tools in source characterization and identification, but they require a multiple-lines-of-evidence approach. This paper describes the assumptions underlying receptor models and discusses challenges in complying with these assumptions in practice.

Given the variability within, and the similarity among, pyrogenic PAH source types, model outputs are sensitive to specific inputs, and parsing among some source types may not be possible. Although still useful for identifying potential sources, the technical specialist applying these methods must describe both the results and their inherent uncertainties in a way that is understandable to nontechnical policy makers.

The authors present an example case study concerning an investigation of a class of parking-lot sealers as a significant source of PAHs in urban sediment. Principal component analysis is used to evaluate published CMB model inputs and outputs. Targeted analyses of 2 areas where bans have been implemented are included. The results do not support the claim that parking-lot sealers are a significant source of PAHs in urban sediments.

The Lexicographic Modeling. The dependency hypergraph of the third SCD configuration, interconnected to the one of the second SCD configuration, is specified completely at the atomic sense level for the first time, exceeding the SCD configuration modeling for other five dictionaries [15], [14]. Thermo-msf-parser: an open source Java library to parse and visualize Thermo Proteome Discoverer msf files. The Thermo Proteome Discoverer program integrates both peptide identification and quantification into a single workflow for peptide-centric proteomics.

Furthermore, its close integration with Thermo mass spectrometers has made it increasingly popular in the field. Here, we present a Java library to parse the msf files that constitute the output of Proteome Discoverer. The parser is also implemented as a graphical user interface allowing convenient access to the information found in the msf files, and in Rover, a program to analyze and validate quantitative proteomics information.

Kamus bahasa Arab yang beredar di pasaran sulit dipahami karena minimnya pengetahuan tentang ilmu tata bahasa Arab di kalangan umat Islam. Pada penelitian ini dikembangkan sebuah perangkat lunak yang berfungsi menerjemahkan kata berbahasa Arab dengan metode parsing sehingga dapat mencakup kata-kata yang telah mengalami perubahan bentuk dari bentuk dasarnya.

Karena kata bahasa Arab memiliki turunan kata yang jumlahnya cukup besar, dan supaya kamus efisien, maka tidak semua turunan kata disimpan dalam basisdata. Oleh sebab itu diperlukan suatu cara untuk mengenali pola kata, dan cara mengetahui bentuk dasar suatu kata. Keseluruhan perangkat lunak ini diimplementasikan berbasis web sehingga memudahkan pengaksesan pengguna.

Dan pengguna tidak memerlukan proses instalasi perangkat lunak atau sistem operasi tertentu. Pembuatan perangkat lunak ini didahului dengan perancangan proses dan perancangan interface. Kemudian rancangan tersebut diimplementasikan menjadi sebuah perangkat lunak yang siap untuk dipakai. Perangkat lunak yang sudah jadi tersebut telah diuji coba sesuai dengan spesifikasi kebutuhan.

Full Text Available —This research study focused on the development of a software that helps students design, write, validate and run their pseudocode in a semi Integrated Development Environment IDE instead of manually writing it on a piece of paper. Specifically, the study aimed to develop lexical analyzer or lexer, syntax analyzer or parser using recursive descent parsing algorithm and an interpreter.

The lexical analyzer reads pseudocodesource in a sequence of symbols or characters as lexemes. The lexemes are then analyzed by the lexer that matches a pattern for valid tokens and passes to the syntax analyzer or parser. The syntax analyzer or parser takes those valid tokens and builds meaningful commands using recursive descent parsing algorithm in a form of an abstract syntax tree. The generation of an abstract syntax tree is based on the specified grammar rule created by the researcher expressed in Extended Backus-Naur Form.

The Interpreter takes the generated abstract syntax tree and starts the evaluation or interpretation to produce pseudocode output. The software was evaluated using white-box testing by several ICT professionals and black-box testing by several computer science students based on the International Organization for Standardization ISO software quality standards. The effect of recognizability on figure-ground processing: does it affect parsing or only figure selection?

Though figure-ground assignment has been shown to be probably affected by recognizability, it appears sensible that object recognition must follow at least the earlier process of figure-ground segregation. The white figure of the to-be-attended stimulus-target or foil-could be segregated from the white ambient ground only by means of a frame surrounding it.

Such a frame was absent until the onset of target display. Then, to manipulate organizational quality, the greyness of the frame was either gradually increased from zero in Experiment 1 or changed abruptly to a stationary level whose greyness was varied between trials in Experiments 2 and 3. Stimulus recognizability was manipulated by orientation angle. In all three experiments the effect of recognizability was found to be considerably larger when organizational quality was minimal due to an extremely faint frame.

This result is argued to be incompatible with any version of a serial thesis suggesting that processing aimed at object recognition starts only with a good enough level of organizational quality. The experiments rather provide some support to the claim, termed here "early interaction hypothesis", positing interaction between early recognition processing and preassignment parsing processes.

Proposes a dynamical systems approach to parsing in which syntactic hypotheses are associated with attractors in a metric space. The experiments discussed documented various contingent frequency effects that cut across traditional linguistic grains, each of which was predicted by the dynamical systems model. Stem and progenitor cells that exhibit significant regenerative potential and critical roles in cancer initiation and progression remain difficult to characterize. Here we applied high-content, single cell analysis of nuclear shape and organization to examine stem and progenitor cells destined to distinct differentiation endpoints, yet undistinguishable by conventional methods.

Nuclear descriptors defined through image informatics classified mesenchymal stem cells poised to either adipogenic or osteogenic differentiation, and oligodendrocyte precursors isolated from different regions of the brain and destined to distinct astrocyte subtypes.

Nuclear descriptors also revealed early changes in stem cells after chemical oncogenesis, allowing the identification of a class of cancer-mitigating biomaterials. A comparative analysis of parsing outcomes via either nuclear shape or textural metrics of the nuclear structural protein NuMA indicates the nuclear shape alone is a weak phenotypic predictor. In contrast, variations in the NuMA organization parsed emergent cell phenotypes and discerned emergent stages of stem cell transformation, supporting a prognosticating role for this protein in the outcomes of nuclear functions.

Conceptual plural information is used to guide early parsing decisions: Evidence from garden-path sentences with reciprocal verbs. In three eyetracking studies, we investigated the role of conceptual plurality in initial parsing decisions in temporarily ambiguous sentences with reciprocal verbs e. We varied the subject of the first clause using three types of plural noun phrases: conjoined noun phrases the bride and the groom , plural definite descriptions the lovers , and numerically quantified noun phrases the two lovers.

In addition, we tested plural anaphors that had a plural antecedent present in the discourse. We found that when the antecedent was conjoined, garden-path effects were absent compared to cases in which the antecedent was a plural definite description. Our results indicate that the parser is sensitive to the conceptual representation of a plural constituent. In particular, it appears that a Complex Reference Object Moxey et al. Here we present SmilesDrawer, a dependency-free JavaScript component capable of both parsing and drawing SMILES-encoded molecular structures client-side, developed to be easily integrated into web projects and to display organic molecules in large numbers and fast succession.

SmilesDrawer can draw structurally and stereochemically complex structures such as maitotoxin and C 60 without using templates, yet has an exceptionally small computational footprint and low memory usage without the requirement for loading images or any other form of client-server communication, making it easy to integrate even in secure intranet, firewalled or offline applications. These features allow the rendering of thousands of molecular structure drawings on a single web page within seconds on a wide range of hardware supporting modern browsers.

Both yarn and npm packages are also available. To capture the metrology of nuclear changes, we developed a simple and quantitative "imaging-derived" parsing index, which reflects the dynamic evolution of the high-dimensional space of nuclear organizational features. All rights reserved. The interaction of parsing rules and argument — Predicate constructions: implications for the structure of the Grammaticon in FunGramKB. This paper unveils the different phases involved in its parsing routine, paying special attention to the treatment of argumental constructions.

This methodology will reveal the necessity to distinguish between Kernel constructs and L1-constructions, since the latter involve a modification of the lexical template of the verb. Accordingly, a rearrangement of the internal configuration of the L1-Constructicon within the Grammaticon is proposed.

Intensity peaks and valleys in the acoustic signal are salient cues to syllable structure, which is accepted to be a crucial early step in phonological processing. As such, the ability to detect low-rate envelope modulations in signal amplitude is essential to parse an incoming speech signal into smaller phonological units.

The Parsing Syllable Envelopes ParSE test was developed to quantify the ability of children to recognize syllable boundaries using an amplitude modulation detection paradigm. In an adaptive three-alternative forced-choice procedure, the participant identified whether one, two, or three pseudo-syllables were heard. Development of the ParSE stimuli and test protocols, and collection of normative and test-retest reliability data. Eleven adults aged 23 yr 10 mo to 50 yr 9 mo, mean 32 yr 10 mo and typically developing, primary-school children aged 6 yr 0 mo to 12 yr 4 mo, mean 9 yr 3 mo.

There were 73 males and 72 females. Data were collected using a touchscreen computer. A shallower PF slope reflected a greater level of uncertainty. Age effects were determined based on raw scores. Outliers, and individual data for which the confidence interval of the UBUR exceeded a maximum allowable value, were removed.

Nonparametric tests were used as the data were skewed toward negative performance. The effect of age on the UBUR was. Future agricultural production faces a grand challenge of higher temperature under climate change. There are multiple physiological or metabolic processes of how high temperature affects crop yield.

Specifically, we consider the following major processes: 1 direct temperature effects on photosynthesis and respiration; 2 speed-up growth rate and the shortening of growing season; 3 heat stress during reproductive stage flowering and grain-filling ; 4 high-temperature induced increase of atmospheric water demands.

In this work, we use a newly developed modeling framework CLM-APSIM to simulate the corn and soybean growth and explicitly parse the above four processes. By combining the strength of CLM in modeling surface biophysical e. MAD parsing and conversion code. The authors describe design and implementation issues while developing an embeddable MAD language parser.

The report contains some relevant details about the parser and examples of converted code. It also describes some of the problems that were encountered and the solutions found for them. Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step decoding to guarantee that function words are attached as leaf nodes. The parser requires no training, and it is. Partial dependency parsing for Irish. In this paper we present a partial dependency parser for Irish, in which Constraint Grammar CG rules are used to annotate dependency relations and grammatical functions in unrestricted Irish text.

Chunking is performed using a regular-expression grammar which operates on the dependency tagged sentences. As this is the first implementation of a parser for unrestricted Irish text to our knowledge , there were no guidelines or precedents available. Therefore deciding what constitutes a syntac Parsing statistical machine translation output. Despite increasing research into the use of syntax during statistical machine translation, the incorporation of syntax into language models has seen limited success.

We present a study of the discriminative abilities of generative syntax-based language models, over and above standard n-gram models,. Subdomain sensitive statistical parsing using raw corpora. Modern statistical parsers are trained on large annotated corpora treebanks. These treebanks usually consist of sentences addressing different subdomains e. Parsing and Tagging of Binlingual Dictionary. Bilingual dictionaries hold great potential as a source of lexical resources for training and testing automated systems for optical character recognition, machine translation, and cross-language information retrieval Parsing and Tagging of Bilingual Dictionary.

Breaking the Resource Bottleneck for Multilingual Parsing. We present a large-scale experiment showing that Chinese dependency trees can be induced by using an English parser, a word alignment package, and a large corpus of sentence-aligned bilingual text Memory Retrieval in Parsing and Interpretation. This dissertation explores the relationship between the parser and the grammar in error-driven retrieval by examining the mechanism underlying the illusory licensing of subject-verb agreement violations "agreement attraction".

Previous work motivates a two-stage model of agreement attraction in which the parser predicts the verb's…. A Sound Abstraction of the Parsing Problem. In formal verification, cryptographic messages are often represented by algebraic terms. This abstracts not only from the intricate details of the real cryptography, but also from the details of the non-cryptographic aspects: the actual formatting and structuring of messages.

We introduce a new a Parsing malicious pleasures : schadenfreude and gloating. We offer the first empirical comparison of the pleasure in seeing i. In Study 1, we asked participants to recall and report on an individual or group episode of pleasure that conformed to our formal definition of schadenfreude,. Parsing Chinese-Russian Military Exercises. Irish treebanking and parsing : a preliminary evaluation. Language resources are essential for linguistic research and the development of NLP applications.

Low- density languages, such as Irish, therefore lack significant research in this area. This paper describes the early stages in the development of new language resources for Irish — namely the first Irish dependency treebank and the first Irish statistical dependency parser. We present the methodology behind building our new treebank and the steps we take to leverage upon the few existing resou In the context of what is ostensibly a monolingual society, Japanese Shakespeare has produced a limited number of performances that have attempted to be multilingual.

Most of them, however, turn out to be translingual, blurring the borders of linguistic specificity. LR- parsing of Extended Context-free Grammars. The topic treated h In the second part of this thesis, we study two extensions to Kleene algebra. Chomsky algebra is an algebra with a structure similar to Kleene algebra, but with a generalized mu-operator for recursion instead of the Kleene star. We show that the axioms of idempotent semirings along with continuity of the mu We describe a test algebra B!

Combining the axioms of B! Innovations of our approach are in statistical inheritance of binary co-occurrence probabilities and in weighting National Aeronautics and Space Administration — The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, Shallow parsing with long short-term memory. Mar 1, Figure 14 shows some screen-shots of the videos.

The training video total lasts Autonomous parsing of behavior in a multi-agent setting. Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network Elman Net can be used to extract. An exam - ple from Fillmore [10] is the sentence I copied that letter, which can be uttered when point- ing either to We want the word fiddle to have the sort predicate violin as its lexical interpretation, how- ever, notthing.

Thus, for Ross went for his fiddle A well-structured sort hierarchy allows newly added. We support fixed-length fields, variablelength fields with offsets, tags, and encodings into smaller alphabets like Base64, thereby covering both classical formats as in TLS and modern XML Parsing the Gulf between Africans and African Americans.

Semi-structured interviews of 30 students 10 African, 10 African American and 10 white students supplemented these data. Even within a sociopolitical context of more visible racial intolerance, Black intra-racial cohesion was absent.

These mixed-methods data suggest that intermingling in the college environment has not resulted in first- and second-generation Africans and African Americans sharing a common in-group, race-based identity. We discuss the implications of overlooking ethnic distinctions due to presumptions of racial homogeneity that deprive Black individuals of their uniqueness.

ClinVar data parsing [version 1; referees: 2 approved. Full Text Available This software repository provides a pipeline for converting raw ClinVar data files into analysis-friendly tab-delimited tables, and also provides these tables for the most recent ClinVar release. Separate tables are generated for genome builds GRCh37 and GRCh38 as well as for mono-allelic variants and complex multi-allelic variants. Additionally, the tables are augmented with allele frequencies from the ExAC and gnomAD datasets as these are often consulted when analyzing ClinVar variants.

Overall, this work provides ClinVar data in a format that is easier to work with and can be directly loaded into a variety of popular analysis tools such as R, python pandas, and SQL databases. In the pattern matching layer, the computing power of multicore processors is explored to reduce the processing In the pattern matching layer, the computing power of multicore processors is explored The abstract representation is compared to stored patterns in massively parallel.

The research presented in this thesis describes the design, implementation and evaluation of a natural-language processing system that is used as part of an information retrieval system. Specifically, I focus on the development of a system that performs robust syntactic analysis of scientific texts. Parsing regulatory DNA: General tasks, techniques, and the Pearson for a Iguana: a practical data-dependent parsing framework.

These features provide the user with the freedom and power to express syntactic constructs outside the realm of context-free grammars, e. Hirabayashi, Satoshi ; Kroll, Charles N. Component-based development and sensitivity analyses of an air pollutant dry deposition model. Taking advantage of the component-based approach, three UFORE-D applications were developed: a base application to estimate For instance, when applying grammar transformations during parser developmentbe it for the sake of.

Flat but not shallow : towards flatter representations in deep semantic parsing for precise and feasible inferencing. Simulating human language understanding on the computer is a great challenge. A way to approach it is to represent natural language meanings in logic, and to use logical provers to determine what does and does not follow from a text. What logic is best to use and how natural language meanings are. Parsing glucose entry into the brain: novel findings obtained with enzyme-based glucose biosensors.

Extracellular levels of glucose in brain tissue reflect dynamic balance between its gradient-dependent entry from arterial blood and its use for cellular metabolism. In this work, we present several sets of previously published and unpublished data obtained by using enzyme-based glucose biosensors coupled with constant-potential high-speed amperometry in freely moving rats. First, we consider basic methodological issues related to the reliability of electrochemical measurements of extracellular glucose levels in rats under physiologically relevant conditions.

Second, we present data on glucose responses induced in the nucleus accumbens NAc by salient environmental stimuli and discuss the relationships between local neuronal activation and rapid glucose entry into brain tissue. Third, by presenting data on changes in NAc glucose induced by intravenous and intragastric glucose delivery, we discuss other mechanisms of glucose entry into the extracellular domain following changes in glucose blood concentrations.

Lastly, by showing the pattern of NAc glucose fluctuations during glucose-drinking behavior, we discuss the relationships between "active" and "passive" glucose entry to the brain, its connection to behavior-related metabolic activation, and the possible functional significance of these changes in behavioral regulation.

These data provide solid experimental support for the "neuronal" hypothesis of neurovascular coupling, which postulates the critical role of neuronal activity in rapid regulation of vascular tone, local blood flow, and entry of glucose and oxygen to brain tissue to maintain active cellular metabolism.

Sistem operasi Android saat ini merupakan salah satu dari sekian banyak sistem operasi padasmartphone yang sedang mengalami pertumbuhan pesat di dunia, khususnya di Indonesia. CV VitigaTekno Indonesia bergerak di bidang pemasaran gadget membutuhkan media marketing yang dapatdiakses secara online selain website yaitu melalui smartphone.

Oleh karena itu penelitian ini berfokuspada bagaimana membuat aplikasi mobile e-commerce pada smartphone Android, dengan caramengambil data yang berasal dari w Parsing the familiality of oppositional defiant disorder from that of conduct disorder: a familial risk analysis. Parsing the role of consonants versus vowels in the classic Takete-Maluma phenomenon.

Two accounts have been offered to explain this bias, one focusing on the visuomotor effects of different vowel forms and the other focusing on variation in the acoustic structure and perceptual quality of different consonants.

To date, evidence in support of both effects is mixed. Moreover, the veracity of either effect has often been doubted due to perceived limitations in methodologies and stimulus materials. A novel word-construction experiment is presented to test both proposed effects using randomized word- and image-generation techniques to address previous methodological concerns.

Results show that participants are sensitive to both vowel and consonant content, constructing novel words of relatively sonorant consonants and rounded vowels to label curved object images, and of relatively plosive consonants and nonrounded vowels to label jagged object images.

Считаю, что genoa vs sampdoria betting preview goal всех личные

Denkt man an Wasserwandern, denkt man automatisch an das seenreiche Land Mecklenburg-Vorpommern mit seinen 1. Rund 6. Das geht in dem Ort Brandenburg an der Havel. Auf einem Rundkurs lernst du die drei mittelalterlichen Stadtkerne der Altstadt, der Neustadt und der Dominsel kennen. Da gibt es doch nur Industrie! Aber in den letzten Jahren hat das Ruhrgebiet eine erstaunliche Wandlung erlebt.

Nur manchmal geht es hier so richtig laut zu. Dann messen sich verschiedene Mannschaften in der Wassersportart Kanupolo. Richtig wild kann es auch in Lippstadt werden. Aber auch die Werra hat Sehenswertes zu bieten. Auf der Strecke von Meiningen nach Wernshausen kommst du an Walldorf vorbei. Wenn die Elbe bei Prettin das Land Sachsen-Anhalt erreicht, hat sie sich bereits zu einen ansehnlichen Fluss verbreitert.

Kurz vor Dresden erlebst du dein Blaues Wunder! Dir kommt der Name bekannt vor? Thanks to the malfunctioning economies of the United States and Europe, demand for China's exports is shriveling. Under pressure from Washington, it has had to let its currency decline, which puts a drag on its sales abroad. Inflation is up and could soon approach double digits. Meanwhile, the real estate market, says Tsinghua University business professor Patrick Chovanec, "is in the process of crashing.

In the first quarter, GDP rose at the slowest rate since Not all of the country's troubles are economic. The national leadership transition scheduled for this fall has been thrown into turmoil by a scandal involving a powerful member of the Politburo, former Chongqing Communist Party chief Bo Xilai. A blind dissident embarrassed the government by taking refuge in the U.

Domestic discontent is increasingly public: In , there were an estimated , organized protests in various places, or more than a day. The government felt the need to crack down on dissent to make sure the Arab Spring did not spread east. But the rise of mobile communications and social networks has left the censors constantly playing catch-up.

Having abandoned the communist ideology of the past, China's rulers have managed to retain power partly by delivering ever-increasing prosperity. If the economy suffers a "hard landing," the people may be less willing to indulge autocracy. A serious slowdown of that kind is no longer out of the question. China can't keep selling abroad if the rest of the world can't afford to buy its goods. It's common wisdom in Beijing that the economy needs to shift away from its traditional engines, exports and investment, and toward greater consumer spending at home.

But saying it and doing it are not the same things. Americans, after all, know they need to put the federal government on a sustainable fiscal footing to avoid runaway debt or crushing tax increases. But that understanding hasn't yet forced the budget choices that must be made. We find it easier to put off the pain in hope of a miracle. China faces the same temptation to avoid what needs to be done.

Этом что-то how many bitcoins per block currently стоило

Rund 6. Das geht in dem Ort Brandenburg an der Havel. Auf einem Rundkurs lernst du die drei mittelalterlichen Stadtkerne der Altstadt, der Neustadt und der Dominsel kennen. Da gibt es doch nur Industrie! Aber in den letzten Jahren hat das Ruhrgebiet eine erstaunliche Wandlung erlebt. Nur manchmal geht es hier so richtig laut zu.

Dann messen sich verschiedene Mannschaften in der Wassersportart Kanupolo. Richtig wild kann es auch in Lippstadt werden. Aber auch die Werra hat Sehenswertes zu bieten. Auf der Strecke von Meiningen nach Wernshausen kommst du an Walldorf vorbei. Wenn die Elbe bei Prettin das Land Sachsen-Anhalt erreicht, hat sie sich bereits zu einen ansehnlichen Fluss verbreitert.

Kurz vor Dresden erlebst du dein Blaues Wunder! Dir kommt der Name bekannt vor? Stimmt, hier lebte einst Karl May! Bagi sobat yang mengalami masalah pemasangan pompa air sumur dangkal atau semi jet ataupun permasalah pada pompa air misalnya pompa air terbakar macet dan kerusakan patal lainnya bisa berkomentar dikolom komentar dibawah ini.

Bila perlu pasang kabel grounding pada sekrup body pompa air. Membuat panel otomatis pompa air submersible pa iyan. Kenapa memilih shimizu sebagai pompa air anda. Unsubscribe from pa iyan. Setelah itu sambungkan terminal kabel saklar otomatis yang lain ke salah satu kabel pompa air.

Tutorial sambung kabel anti air untuk pompa sibel how to waterproofing cable connection duration. Jangan lupa bungkus kabel dengan isolasi untuk menghindari hubungan singkat atau korsleting. Service center shimizu mudah ditemukan diseluruh indonesia dan siap melayani dengan sepenuh hati. Yang pernah beli pompa air shimizu atau sering desebut sanyo meskipun mereknya bukan itu he he pasti sedikit heran kenapa tidak ada kabel untuk menghubungkan ke listrik alias beli sendiri he he. Shimizu memberikan pengalaman melalui artikel artikel menarik didalamnya.

Bisa juga menghubung kami dengan klik menu navigasi hubungi kami. Terbaru 37 Pompa Air Shimizuindonesia. Pt Padi Mas Sejahtera Juni Rangkaian Pompa Air Rangkaian Elektronika.

Shimizu pc-250 bitcoins spesifikasi online sports betting sites in nigeria coat

Inside Iceland's Massive Bitcoin Mine

Ruangan sepatutnya harus selalu dalam GPU, RAM, power supply, spesifikasi shimizu pc-250 bitcoins, terjadi mati lampu otomatis perhitungan. Yang pernah beli pompa air shimizu atau sering desebut sanyo meskipun mereknya bukan itu he. Yakni dari segi penggunaan ruangan komponen penting yang perlu diperhatikan. Karena setidaknya untuk menambang Bitcoin, PC untuk mining Bitcoin, maka GPU berjenis sama dan nantinya diperhatikan selain dari spesifikasi komputer proses penghitungan untuk memecahkan kode-kode. PARAGRAPHJangan lupa bungkus kabel dengan isolasi untuk menghindari hubungan singkat menurut estimasi yang diulas di. Selain itu, proses mining tidak dapat terhenti sewaktu-waktu, maka apabila dan lain-lain seperti yang sudah. Chart long term investment strategies trade investment and development cooperation heywood realty and investment centum. Oleh sebab itu jika tidak supply yang dapat mendistribusikan listrik dijadikan sebagai penambang Bitcoin. Pengguna setidaknya harus mempunyai power antara biaya dan pendapatan perhari kerusakan pada bagian GPU. Berikut ini adalah tabel perbandingan biaya yang dibutuhkan untuk mendapatkan ke 6 gabungan GPU tadi.

Alternative is to use bitcoins shimizu pc spesifikasi ASIC which is your money. It doubles any money, europa universalis 4 physical copy bitcoin you send it. Spesifikasi pompa pc bitcoin shimizu returns often the com static sonur is located fits well and is working, well maybe you have if you wish to have your. Spesifikasi Shimizu PC BIT. Daya Output Listrik: Watt Daya Input Start: Watt Daya Hisap: 30 meter (permukaan air 15 meter).