Search Results - data processing methods

Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records by Elizabeth Ford, James Stone, James Stone, James Stone, Dominic Oliver, Dominic Oliver, Dominic Oliver, Benjamin Fell, Gloria Roque, Sam Robertson, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Kathryn Greenwood, Kathryn Greenwood

“…A transdiagnostic risk calculator, predicting psychosis using electronic health record (EHR) data, was developed in London, UK to identify patients at risk, using structured data and 14 natural language processing (NLP)-derived symptom and substance use concepts. …”
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Interhemispheric interactions in visual word recognition: the role of multiple meanings by Sangyub Kim, Kichun Nam

“…IntroductionThe current study investigated the influence of the number of meanings on visual word recognition, with a particular focus on hemispheric dynamics.MethodsBy reanalyzing parafoveal Korean lexical decision data, we examined how words with a high versus low number of meanings affect right visual field advantage (RVFA) and bilateral redundancy gain (BRG).ResultsThe words with a greater number of meanings exhibited a stronger RVFA and reduced BRG compared to words with fewer meanings.DiscussionThe findings suggest that the facilitatory effects associated with multiple meanings are more pronounced in the left hemisphere (LH) than in the right hemisphere (RH). …”
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A Reference Architecture for On-Premises Software-Defined Infrastructure Using Model-Based Systems Engineering by Eric S. Enos, Daniel R. Herber

“…In order to begin answering the second part of that question, this paper proposes a reference architecture (RA) for software-defined infrastructure (SDI) focused on leveraging infrastructure and management tools in the on-premises data center, using the methods and tools of Model-Based Systems Engineering (MBSE) through the Model-Based System Architecture Process (MBSAP).…”
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Sistem Informasi Manajemen Perguruan Tinggi Dalam Bidang Pendataan Pendidikan Tinggi by Bambang S Joko

“…Study results showed that the majority of PT has conducted data collection and processing on a regular basis every year. …”
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Diagnostics of Structural Thinking of Bachelors of Pedagogical Education as a Universal Pedagogical Competence by Daria A. Barkhatova, Daria S. Grushentseva

“…The data obtained actualize the need to focus educational tasks on working with structures in the process of professional training of future lecturers. …”
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The Main Directions of Improving the Methodology for the Application of Advanced Information and Communication Technologies in the Statistical Activities of the Republic of Uzbekis... by I. E. Zhukovskaya

“…The scientific article presents the main directions of improving the methodology for the application of advanced information and communication technologies in the statistical activities of the Republic of Uzbekistan in the context of the formation of a digital economy, in particular with the aim of achieving maximum reliability and efficiency in collecting and processing statistical data, as well as the openness and quality of information when receiving consolidated indicators for various user requests, an analysis of the functionality of information systems and technologies used in the statistical field was carried out, a methodology for the provision of modern state interactive services to end users was developed on the basis of the implementation of a digital analytical platform, mechanisms for improving the quality of state statistical reporting based on the use of web service technologies were proposed, scientific approaches to the integration of statistical activities with other ministries and departments in the in the context of the digitalization of the economy are expressed.The author concludes that the digital economy changes all spheres of life in modern society, contributes to the formation of a new management paradigm, methods and means based on the strengthening of the role of science as a leading productive force generating more and more new knowledge, leading to new trends in the improvement of managerial processes, solving problems of information compatibility of various software and technological complexes, which, in turn, contributes to the processes of globalization and improvement of the social sphere of the national economy, which are manifested not only in the growth of production indicators, but also in the improvement of the quality of life of the country's population.The article shows that a comprehensive analysis, statistical data on the development of innovative processes in the economy allow us to note that innovations based on the use of the advanced ICT contribute to improving the technical and technological basis of production processes, optimizing management processes, and developing human capital. …”
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Copper Stress Levels Classification in Oilseed Rape Using Deep Residual Networks and Hyperspectral False-Color Images by Yifei Peng, Jun Sun, Zhentao Cai, Lei Shi, Xiaohong Wu, Chunxia Dai, Yubin Xie

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Contrastive Learning-Based Hyperspectral Image Target Detection Using a Gated Dual-Path Network by Jiake Wu, Rong Liu, Nan Wang

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ORCHAMP: an observation network for monitoring biodiversity and ecosystem functioning across space and time in mountainous regions by Thuiller, Wilfried, Saillard, Amélie, Abdulhak, Sylvain, Augé, Vincent,  Birck, Carole, Bonet, Richard, Choler, Philippe, Delestrade, Anne,  Kunstler, Georges, Leccia, Marie-France, Lienard, Bertrand, Poulenard, Jérome, Valay, Jean-Gabriel, Bayle, Arthur, Bonfanti, Nicolas, Brousset, Lenka,  Bizard, Léa,  Calderón-Sanou, Irene, Dentant, Cédric, Desjonquères, Camille, Gielly, Ludovic, Guéguen, Maya, Guiter, Frédéric, Hedde, Mickael,  Hustache, Eric, Kedhim, Norine, Lapenu, Pierre, Le Guillarme, Nicolas,  Marchal, Lise, Mahieu, Chloé, Martin, Gabrielle, Martinez-Almoyna, Camille,  Miele, Vincent, Murienne, Jérôme, Paillet, Yoan, Rome, Maxime,  Renaud, Julien, The Orchamp Consortium

“…Leveraging the natural elevational gradients of mountain environments, the ORCHAMP program was established in 2016 as a comprehensive initiative to monitor, understand, and predict the repercussions of environmental changes on biodiversity and associated ecosystem functions in the French Alps and Pyrenees.Beyond its monitoring role, ORCHAMP has catalyzed the development of tools for data integration, statistical analyses, visualization, and AI-based automated data processing and predictions. …”
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A novel quality of service-oriented Spark job scheduler by HE Yulin, MO Peiheng, Fournier-Viger Philippe, HUANG Zhexue

“…Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. …”
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Convolutional Neural Networks in the SSI Analysis for Mine-Induced Vibrations by Maciej Cyprian Zajac, Krystyna Kuzniar

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Comparative framework for analyzing distance metrics in high-dimensional spaces by Дмитро Чернишов, Михайло Козюберда

“…By enhancing the understanding of how these metrics relate to one another, the research offers a valuable tool for selecting appropriate distance measures in high-dimensional data analysis. This contributes to more accurate and efficient analytical processes across various fields, including machine learning, data mining, and pattern recognition. …”
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Russia’s Arctic Strategy in the Greater Eurasian Partnership by I. F. Kefeli, A. V. Nikolaenko

“…The development of principles of geopolitical forecasting and work with big data, with the aim of synchronizing the integration processes contradictory in nature and interests of the actors in Greater Eurasia, identifying the features of the geopolitical regionalization of Eurasia, and analyzing the global security analytics of the Great Eurasian Partnership in the coming “digital era”.Methods. …”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

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Immunohistochemical study of the development of P cells in the proventriculus of shao ducks by WU Jiu-sheng, ZHU You-fa, SHEN Yuan-xin, LIU Yue-huan

“…Immunohistochemical method (ABC method) was employed to demonstrate the postnatal development of bombesin cells (P cells) in proventriculus of Shao duck by observing its character and counting its number in every stage. …”
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The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review by Carlos Merino-Campos

“…This systematic review follows the PRISMA guidelines to ensure transparency in study selection, data extraction, and synthesis. The findings of the review are synthesized to examine how AI-driven solutions enhance adaptive learning, improve student engagement, and streamline administrative processes. …”
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Hyperlocal marketing: conceptual representation status, technological foundations and directions of development. by E. V. Griva, A. A. Sidorov

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Evaluation of Telemedicine Experience: Artificial Intelligence in Cancer Care by A. A. Kostin, Yu. V. Samsonov

“…The search was carried out in such databases as Elibrary, PubMed, MEDLINE, Google Scholar by keywords “Telemedicine in oncology”, “COVID-19 in oncology”, “Artificial Intelligence”, “Digital Technologies”, “Data Personalization”, and “Teleoncology”. Publications not primarily focused on evaluating telemedicine technologies in oncology were excluded from the review process.Results. …”
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Lithology and oil content of the Bazhenov Formation in the central part of the Mansi Syneclise (Russia) by M. A. Fomin, R. M. Saitov, A. G. Zamirailova

“…It is substantiated, that materials of geophysical studies of wells that does not contain nuclear magnetic resonance data can only be used to identify possible productive intervals, the study of which by laboratory methods will allow establish the presence or absence of collectors in them.…”
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Importance of Using Modern Regression Analysis for Response Surface Models in Science and Technology by Hsuan-Yu Chen, Chiachung Chen

“…The results of this study present some problems of RSM studies in the previous literature, including using the complete equation without checking the statistical test, using the at-once variable deletion method to delete the variables whose <i>p</i>-values are higher than the preset value, the inconsistency between the proposed RSM equations and the contour and response surface plots, the misuse of the ANOVA table of the sequential model to keep all variables in the linear or square term without testing for each variable, the non-normal and non-constant variance conditions of datasets, and the finding of some influential data points. …”
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