Reviewerly/exHarmony huggingface dataset:
Deep Neural Model for Duplicate Question Detection Using Support Vector Machines (Svm)

Stack Overflow has been a core component of the toolset of the developer. This rise in influence was followed by a Stack Overflow group initiative to preserve the Content consistency. One of the threats that threaten the persistent growth of duplicated questions is consistency. Resolution of Prior research on the automated identification of this problem Questions multiplied. DupPredictorand Dupe are two essential solutions. We carried out aDupPredictor and Dupe’s observational replica analysis. While the findings are important, both works are not freely accessible, so hindering their introduction. The following work depends on them in the science literature. Wecarried out a DupPredictor observational replica analysis And Dupe. Our findings are not stable in various ways,sets of methods and data sets. To illustrate the replication barriersfor these methods and approaches are high. In addition, if more is necessary we observe a decrease in efficiency of our two recentlyRecall-rate reproductions over time, as the numberof questions is increased. The following are our resultsof study on the identification of questions duplicating inquiry to claim and Respond Communities with their assumptions. The findings of this paper are systemic and comparative tests with main technique stylesfor predictive question identification duplication detectionApplied to increasingly broad data collections, such thatto research the profiles of learning of this mission, approaches and assesses the merits. This research has been carried out by using the latest publication for research purposes, Probable a new engine by Quora online reply query dataset with more than 100000 marked pairs Duplicate portions of questioning are components.
Library Guides: Cornerstone Integrated Liberal Arts: Chris & Michelle White Cornerstone Reading Room

This guide highlights the Cornerstone program, e-library, and Reading Room. This page show cases the Cornerstone Reading Room located in the Humanities, Social Science and Education Library.
Operations on bipolar interval valued anti intuitionistic fuzzy graph

In this study we have made an attempt by introducing the notion of bipolar anti intuitionistic fuzzy graph and bipolar interval valued anti intuitionistic fuzzy graph. Some basic concepts such as composition, Cartesian product, union on bipolar anti intuitionistic fuzzy graph and bipolar interval valued anti intuitionistic fuzzy graph has been discussed.
Energy-Bandwidth optimization of quantum-enabled communication channels

We introduce new modulation schemes and experimentally verify that they enhance the accuracy of practical quantum measurements and significantly optimize the combined use of energy and bandwidth for long communication alphabets.
Some Thoughts on Cloud Service Management of University Library

Against the backdrop of the development of Internet informatization, big data technology, cloud computing technology and so on began to be widely used in various fields. University libraries, as a digital resource sharing platform, also apply cloud computing service technology to the development and construction of network libraries to realize the docking between digital book resources and diversified user services. Based on the main features and technical content of cloud computing services, this paper analyzes the cloud service construction of university library management, and sets up a multi-hierarchical library cloud service management system as well as user desktop cloud control and management structure, so as to meet the diverse demand of book data and information service of teachers and students on campus and subjects off campus.
Alla ricerca di una metodologia clinica condivisa: strumenti per una diagnosi affidabile

In the international psychiatric literature, diagnosis has always been a highly debated subject since the therapeutic outcome mainly depends on a thorough and correct diagnosis. In the 20th century the evolution of new concepts and theories led to redefine the diagnostic boundaries between different mental pathologies therefore influencing the psychiatrist’s diagnostic and therapeutic practice. The benefit of psychotherapy is widely recognized but fundamentally complex remains the issue of evaluating its effectiveness as well as the quantification of the clinical improvement as a result of the therapeutic intervention. Although there is a shared agreement on the idea that all psychotherapies are equivalent in terms of effectiveness and that the therapeutic rapport’s quality is a fundamental aspect in order to achieve a positive outcome, a shared system to “measure” pathologies and their cure is still lacking today. The author underlines the need to create debating opportunities among colleagues to deepen the clinical practice’s study in order to identify the shared methodological and practical approaches based on the Collective Analysis history.
The Influencing Factors of Employee Fraud in Malaysian Financial Institution: The Application of the Fraud Pentagon Theory

Employee fraud issues are commendable of discussion in the current global economy. According to PwC (2020), 68% of fraud is committed by employees in Malaysia, and 35% of it were committed by collusion with external parties. This indicates a tighter control is required to reduce the cases. In addition, the financial institutions are known to be susceptible to fraud cases, due to its nature of directly handling a huge amount of cash. Due to the rapid changes of technological development and increased in organized crime, fraudsters focus on financial institutions as their target. Thus, the adoption of a strategic approach is required to prevent, detect and combat employee fraud occurrences. The research aim is to examine the influencing factors of employee fraud in Malaysian financial institution. The research utilise the data obtained from questionnaire that polled public attitudes regarding the influencing factors of employee fraud occurrences by adopting the Fraud Pentagon Theory. The data was analysed to evaluate and determine the perception of employees working in financial institutions on the influencing factors of employee fraud occurrences. The research suggested that elements in the Fraud Pentagon Theory, namely pressure, opportunity, rationalization, capability and arrogance have significant positive influence on the employee fraud occurrences in the Malaysian financial institution.
Scheme for Health File Privacy Protection Based on Trusted Computing Technology

Our objectives were to construct a security and reliable health information system protection measure and to provide a trusted terminal environment for medical information system. This scheme is to melt the credible computing idea into the medical information privacy protection. This melting makes the medical information be able to find a trust source and trust foundation in this application environment with high sensitivity and to further extend to the safety of the entire business system. In this scheme, TPM chip will take advantage of its own key management function, encryption and decryption function, platform identity attestation function and so on to provide the security support that is based on hardware for the file safety protection in HIS system. Designed a HIS file privacy protection scheme by adopting trusted computing technology. This module is to protect the files of all subsystems in HIS and to ensure that the files can reach a certain security requirements in the confidentiality, integrity and non-repudiation. This paper designed a scheme of medical file privacy protection based on trusted computing technology. Scheme on the basis of HIS system, through the analysis of files in the HIS system, security protection scheme is put forward based on trusted computing. From the aspects of confidentiality and integrity ofmedical records to privacy protection, and trusted computing use in the field of health information protection of high sensitivity based on hardware security features.
GPKRS: A GPU-Enhanced Product Knowledge Retrieval System

In this demonstration, we present a GPU-enhanced product knowledge retrieve system called GPKRS, which stores product knowledge based on the sparse matrix compression, and introduces a query transformation module to transform the query operation into the corresponding matrix operations. By this way, we can take advantage of the powerful parallel computing power of GPU to accelerate the processing of SPARQL query. Further, GPKRS adopts an optimized pipeline query strategy to speed up the query execution. The experiments show that the GPKRS achieves state-of-the-art query performances on the LUMB dataset and a synthetic product knowledge dataset.
Appeal to the Ideas of A.S. Makarenko in Building the Educational Process in a Modern Primary School

The article discusses the problem of using the didactic ideas of the outstanding domestic teacher Anton Semyonovich Makarenko for the successful teaching and comprehensive development of Russian junior schoolchildren, improving modern educational systems, and implementing socially active pedagogy in practice. Particular attention is paid to the role of the teacher’s personality in the formation of a positive attitude of students to cognitive activity. The methodological techniques that were developed and tested in the pedagogical experience of A.S. Makarenko so that the process of acquiring knowledge and mastering skills becomes interesting, useful and personally significant for each student.
Technological Preparedness and Flexible Learning of Pangasinan State University Amidst the COVID-19 Pandemic

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PERBEDAAN HITUNG JUMLAH KADAR TROMBOSIT DENGAN METODE LANGSUNG DAN TIDAK LANGSUNG PADA PEROKOK (USIA 18-21 TAHUN) DI LINGKUNGAN AKADEMI ANALIS KESEHATAN DELIMA HUSADA GRESIK

The impact of smoking on the hematological system, among others, by increasing platelet aggregation, it is necessary to do research on differences in the number of platelet counts by direct and indirect methods for smokers. This type of research is a non-experimental laboratory research with cross sectional research design. In this study platelet examination on smokers of 10 respondents. Platelet examination method directly obtained the highest results, namely 550,000 cells / mm3 blood and the lowest results were 50,000 cells / mm3 blood. While the indirect method obtained the highest results, namely 1,051 Cells / 100 Lp and the lowest results are 251 Cells / 100 Lp. Based on the Independent T-test statistical test, it was found that there was a significant difference between the platelet count results with the direct and indirect methods.
РОЛЬ ОЦЕНИВАНИЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ИСТОРИИ

This article discusses the use of assessment in the learning process, the need for their application in the system of modern updated educational content, as well as the impact on the effectiveness of the educational process. The article also indicates the importance of the application of criteria-based assessment, its principles, and the tripartite significance of criteria-based assessment: for the teacher, student and parents. Criterion assessment is the process of correlating the learning outcomes actually achieved by students with the expected learning outcomes, based on clearly defined criteria. The aim of introducing criteria-based assessment is to improve the quality of education in schools, to identify the knowledge of school graduates with international standards. The article provides examples of tasks of formative and summative assessment on the History of Kazakhstan. Conclusions are made about the results of the use of criteria-based assessment and their elements in the educational process
AgroLD: A Knowledge Graph Database for plant functional genomics

Exploring the links between genetic and phenotypic traits is an important area of research in agronomy. One of the main objectives of this is to accelerate the development of important traits that can positively impact the agricultural economy. However, due to the existence of complex molecular interactions, to gain complete understanding will warrant data analyses performed at different molecular and environmental levels for a given (plant) subject. For instance, to understand how rice genes involved in metabolism or signaling of growth regulators control the rice panicle architecture. While high-throughput technologies have played a key role in accelerating and generating the much-needed data, these can only partially capture the dynamics in genotypephenotype relations. Consequently, our knowledge of the complex relationships between the different molecular actors responsible for the expression of the phenome in various plant systems remains fragmented. Hence, there is an urgent need to effectively integrate and assimilate complementary information to understand the biological system in its entirety. We have developed AgroLD [1] (www.agrold.org), a knowledge graph system that exploits the Semantic Web technology and FAIR principles [2], to integrate information to integrate data about plant species of high interest for the plant science community e.g., rice, wheat, Arabidopsis and in this way facilitating the formulation of new scientific hypotheses. We present some integration results of the project, which currently focused on genomics, proteomics and phenomics. AgroLD is now an RDF knowledge base of 900M triples created by annotating and integrating more than 100 datasets coming from 15 data sources –such as Ensembl plants [3], Gramene.org [4] and TropGeneDB [5]– with 15 ontologies –such as the Gene Ontology [6] and Plant Ontology [7]. Our objective is to offer a domain specific knowledge platform to solve complex biological and agronomical questions related to the implication of genes in, for instances, plant disease resistance or high yield traits. We expect the resolution of these questions to facilitate the formulation of new scientific hypotheses to be validated with a knowledge-oriented approach.
Two photon emission from superluminal and accelerating index changes

We show that superluminal and accelerating index perturbations in dielectric media can act as sources of entangled photon pairs. We show how these sources can be realized in various nonlinear nanophotonic platforms.
LibGuides: Charlotte University Library: Media/Communications

This guide provides an overview of 5 select subject areas at the Charlotte University Library.
An Empirical Study on the Effects of Non-Tariff Barriers on FTAs: Regarding Import Control Measures of the Target Country on Korea's FTA

Purpose - The purpose of this study is to analyze the effects of non-tariff barriers on the Free Trade Agreement. Currently, it has achieved significant export effects by signing free trade agreements with many countries in Korea. However, most countries have implemented non-tariff barriers to protect their industries. This study analyzes the effects of non-tariff barriers in counterpart countries that have signed a free trade agreement. Design/methodology/approach - For analysis, first, prior studies were summarized, and second, the current status of free trade agreements and non-tariff barriers were identified. And, based on the current situation, the relationship between non-tariff barriers and export volume was analyzed. The targets of analysis are the United States, China, and Vietnam, which are Korea s three largest exporters. As for non-tariff barriers, anti-dumping tariffs, countervailing tariffs, and emergency import restrictions were analyzed as import regulatory measures. Findings - In the case of the United States, it can be seen that the decline in textiles, steel and electronics sectors is even greater. In the case of China, it can be seen that exports declined after imposing non-tariff barriers in the steel sector. Finally, it can be seen that exports declined after Vietnam implemented a non-tariff barrier on the steel sector. It was found that non-tariff barriers offset the effects of the Free Trade Agreement. Research implications or Originality - Currently, Korea has free trade agreements with numerous countries. However, after the free trade agreement entered into force, the number of annual average import regulation investigations for Korean products is on the rise. In the end, the implementation of non-tariff barriers is offsetting the effects of free trade agreements. Therefore, when signing a free trade agreement, it is necessary to thoroughly prepare for import regulatory measures such as the insertion of provisions of non-tariff barriers.
A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs

We have recently designed a symbolic extension of FASILL (acronym of “Fuzzy Aggregators and Similarity Into a Logic Language”), where some truth degrees, similarity annotations and fuzzy connectives can be left unknown, so that the user can easily see the impact of their possible values at execution time. By extending our previous results in the development of tuning techniques not dealing yet with similarity relations, in this work we automatically tune FASILL programs by appropriately substituting the symbolic constants appearing on their rules and similarity relations with the concrete values that best satisfy the user’s preferences. The approach has been proved correct under some safe conditions and an online tool is provided to check its effectiveness.
Training photonic extreme learning machines using feedback alignment

Photonic extreme learning machines and reservoir computers enhance machine learning by efficiently mapping data to a high dimensional space. We demonstrate training the input mapping of such approaches using feedback alignment improves performance.
CF Library: Early Childhood Education: Web Resources

A collection of early childhood education resources for CF students and faculty. Web links to topical sources.
Prospecção Tecnológica em Base de Patentes para aplicação da Teleconsulta na interação médico-paciente

The Digital Era generates transformations and opportunities in people's daily lives and in the different branches of activity. The act of buying, studying or even health care is in the process of evolution. Telemedicine and its aspects, such as Teleconsultation, appear as alternatives connected to this new reality. Based on the study, the objective was to identify existing technologies applicable to Teleconsultation practices in the doctor-patient interaction. For this, research was carried out on articles for theoretical foundation, as well as on patent bases to analyze technological trends that are being developed. It was found that the theme is on the agenda of academic and political discussions about the perspectives and practices of health care during and after the pandemic of COVID-19. As a result, there was a need for regulation, the creation of service protocols, greater data security, and prospecting of interaction platforms, applications and smart and frugal technologies. KEYWORDS: Telemedicine. Teleconsultation. Technology.
Construction of matrix product codes where defining matrix is generator matrix of some BCH code or RS code, using SageMath functions

For a given finitely many codes, Matrix Product Code (MPC) can generate a code with better dimension and minimum distance. In this paper, SageMath functions are defined and using these functions, matrix product codes (MPC) are constructed with defining matrix as the generator matrix of some BHC-code or RS-code.
Gender Inclusive Intermediary Education, Financial Stability and Female Employment in the Industry in Sub-Saharan Africa

The study examines how financial stability modulates the effect of inclusive intermediary education on female employment in the industry for the period 2008-2018 in Sub-Saharan Africa. The empirical evidence is based on Tobit, Ordinary Least Squares (OLS) and Quantile regressions. There are positive interactive or conditional effects between inclusive intermediary education and financial stability in the Tobit, OLS and bottom quantiles estimations. A net positive (negative) effect is apparent in the 10th quantitle (median) of female employment in the industry distribution. Implications are discussed.
Color Identification in Images

In this Project, we will be detecting shapes and colors of various geometrical figures in the sample given images using Python. The very fundamental functions are used for processing the images, that involves loading them, and detecting various shapes and colors inside the given sample images. We will be working with colors and you will get to learn about many concepts throughout this project. Color detection is necessary to recognize objects , it is also used as a tool in various image editing and drawing apps.
Taxonomy of Key Terms for Mathematics Education

We present the process of developing a taxonomy of key terms for Mathematics Education. We build on the existing taxonomy of key terms that has been used in an open access document repository. Additionally, we took into account terms that have been established in encyclopedias of the discipline and the frequency of use of keywords in specialized journals that were indexed in Scopus and Web of Science. We made a review of synonymy between these terms and the terms of the existing taxonomy. We included in our proposal the terms that are relevant given their frequency of use in the journals. We removed from the existing taxonomy the terms that are little used in practice. The new taxonomy is organized in six main categories: approach, educational level, foundations of Mathematics Education, research in Mathematics Education, pedagogical notions and mathematical content. This proposal was validated in three phases by researchers, innovators in Mathematics Education, and editors of specialized journals and experts who lead associations and events in the discipline.
A Comparison of Neural Networks for Sign Language Recognition with LSA64

Sign Language Recognition models have been steadily increasing in performance in the last years, fueled by Neural Network models. Furthermore, generic Neural Network models have taken precedence over specialized models designed specifically for Sign Language. Despite this, the completeness and complexity of datasets has not scaled accordingly. This deficiency presents a significant challenge for deploying Sign Language Recognition models, specially given that Sign Languages are specific to countries or even regions. Following this trend, we experiment with three models built on standard recurrent and convolutional neural network layers. We evaluate the models on LSA64, the only Argentinian Sign Language dataset available. Coupled with simple but carefully chosen hyperparameters and preprocessing techniques, these models are all able to achieve near perfect accuracy on LSA64, surpassing all previous models, many specifically designed for this task. Furthermore, we perform ablation studies that indicate that temporal data augmentation can provide a significant boost to accuracy, unlike traditional spatial data augmentation techniques. Finally, we analyze the activation values of the three models to understand the types of features learned, and find they develop on hand-specific filters to classify signs.