Aplicação de SIG no uso do MUSAG visando a diminuição dos riscos na produção agrícola: bacia do Alto Rio Sucuru, Paraíba - um estudo de caso Application of GIS in the use of MUSAG... by Guttemberg da S. Silvino, Marx P. Barbosa

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Urodynamics tests for the diagnosis and management of male bladder outlet obstruction: long-term follow-up of the UPSTREAM non-inferiority RCT by Madeleine Clout, Amanda L Lewis, Madeleine Cochrane, Grace J Young, Paul Abrams, Peter S Blair, Christopher Chapple, Gordon T Taylor, Sian Noble, Tom Steuart-Feilding, Jodi Taylor, J Athene Lane, Marcus J Drake

“…Methods The Proportionate Review Sub-Committee of the South Central – Berkshire Research Ethics Committee reviewed and approved UPSTREAM Phase II (REC reference 19/SC/0578, Integrated Research Application System ID 264738). Participants of UPSTREAM Phase I were recontacted for one questionnaire, and routine NHS data were extracted. …”
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Urodynamics tests for the diagnosis and management of male bladder outlet obstruction: long-term follow-up of the UPSTREAM non-inferiority RCT by Madeleine Clout, Amanda L Lewis, Madeleine Cochrane, Grace J Young, Paul Abrams, Peter S Blair, Christopher Chapple, Gordon T Taylor, Sian Noble, Tom Steuart-Feilding, Jodi Taylor, J Athene Lane, Marcus J Drake

“…Methods The Proportionate Review Sub-Committee of the South Central – Berkshire Research Ethics Committee reviewed and approved UPSTREAM Phase II (REC reference 19/SC/0578, Integrated Research Application System ID 264738). Participants of UPSTREAM Phase I were recontacted for one questionnaire, and routine NHS data were extracted. …”
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Selected Topics on Business Informatics Research: Editorial Introduction to Issue 6 of CSIMQ by Fabrizio Maria Maggi, Raimundas Matulevičius

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Conservation networks do not match the ecological requirements of amphibians by Matutini, Florence, Baudry, Jacques, Fortin, Marie-Josee, Pain, Guillaume, Pithon, Josephine

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Resolution of the XII All-Russian Conference with International Participation "Topical Issues of Preclinical and Clinical Research of Medicinal Products and Clinical Trials of Medi... by E. E. Zvartau, A. S. Kolbin, E. V. Verbitskaya, E. M. Krupitsky, A. O. Kibitov, M. A. Zaitseva, A. D. Durnev, A. K. Zhanataev

“…Participants’ prospects for the development of toxicology, preclinical studies of specific activity and translational models, programs for the preclinical development of biomedical cell products, experience in the clinical application of medical programs using artificial intelligence, a personalized approach to prevention and therapy in psychiatry and narcology, pharmacovigilance, the use of real clinical practice data, regulatory issues of clinical trials in pediatrics, data management, biomedical statistics, and mathematical modeling in preclinical and clinical studies. …”
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Obsahová analýza / formální obsahová analýza / kvantitativní obsahová analýza by Ilona Dvořáková

“…The aspiration to objectivity and systematic quantitative grasp of text and visual contents as well as emphasis on semantic and contextual evaluation is responsible for heterogeneous and arguable definitions of the field. Concrete applications of content analysis are therefore shaped by the nature of analysed data and researcher's individual goals even though basic methodological ground is maintained (i. e. selecting the data set, defining units of analysis and coding, operationalization of coding etc.). …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Modelling events that change over time is one of the most difficult problems in data analysis. Forecasting of time-varying electric power values is also an important problem in data analysis. …”
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Parametric and Nonparametric Methods in Medical Statistics by A. N. Gerasimov, N. I. Morozova

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Machine Learning Methods in the Comparative Evaluation of Various Approaches to the Surgical Treatment of Primary Angle Closure by N. I. Kurysheva, A. L. Pomerantsev, O. Ye. Rodionova, G. A. Sharova

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從前瞻因應理論觀點探討翻轉教學策略應用 於退休準備課程在不同需求程度上之 教學成效 Exploring the Application of Flipped Teaching Strategies in Retirement Preparation Courses: An Analysis of Educational Effectiveness From... by 胡夢鯨 Menq-Jing Hwu, 施宇澤 Yu-Ze Shih, 劉霽瑈 Ji-Rou Liu, 陳雅雯 Ya-Wen Chen

“…Results indicate a marked improvement in knowledge, particularly in high-demand courses, although skill application requires additional instructional support. …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…Machine learning has catalyzed substantial advancements in the field of data science. The accumulation of extensive learning generates substantial volumes of structured and unstructured data, including the personal information of learners and various learning metrics. …”
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Blockchain technology in smart contracts for refueling civil aviation aircraft by V. V. Gordeev, O. V. Gromov, V. K. Gromov, G. I. Litinsky, V. M. Samoylenko

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Using Artificial Intelligence Techniques For Intrusion Detection System by Manar Ahmed, Bayda Khaleel

“…Nowadays, as more people make use of the internet, their computers and the valuable data in their computer system contain become more exposed to attackers. …”
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Modélisation pluie-débit en région tropicale humide : application des réseaux de neurones sur quatre stations hydrométriques du Bandama Blanc (Bada, Marabadiassa, Tortiya et Bou) s... by Yao Blaise Koffi

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Scientific Opinion on applications (EFSA‐GMO‐RX‐GT73) for renewal of the authorisation for continued marketing of existing (1) food and food ingredients produced from oilseed rape... by EFSA Panel on Genetically Modified Organisms (GMO Panel)

“…The new data in the application included bioinformatic analyses using updated databases which confirmed that no relevant similarities exist between the newly expressed proteins and known allergens and toxic proteins. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…Validation of the model’s predictive capabilities and optimization of the maintenance strategy are performed by comparing with archived data on previously performed work. The analysis of the results revealed the peculiarities of the model operation, namely, the application of least squares regression with single coding demonstrates perfect forecasts, which may indicate the need for model transformation and requires additional verification. …”
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ADVANCED SCHEDULER FOR COOPERATIVE EXECUTION OF THREADS ON MULTI-CORE SYSTEM by O. N. Karasik, A. A. Prihozhy

Subjects: “…three architectures of the cooperative thread scheduler in a multithreaded application that is executed on a multi-core system are considered. architecture a0 is based on the synchronization and scheduling facilities, which are provided by the operating system. architecture a1 introduces a new synchronization primitive and a single queue of the blocked threads in the scheduler, which reduces the interaction activity between the threads and operating system, and significantly speed up the processes of blocking and unblocking the threads. architecture a2 replaces the single queue of blocked threads with dedicated queues, one for each of the synchronizing primitives, extends the number of internal states of the primitive, reduces the inter- dependence of the scheduling threads, and further significantly speeds up the processes of blocking and unblocking the threads. all scheduler architectures are implemented on windows operating systems and based on the user mode scheduling. important experimental results are obtained for multithreaded applications that implement two blocked parallel algorithms of solving the linear algebraic equation systems by the gaussian elimination. the algorithms differ in the way of the data distribution among threads and by the thread synchronization models. the number of threads varied from 32 to 7936. architecture a1 shows the acceleration of up to 8.65% and the architecture a2 shows the acceleration of up to 11.98% compared to a0 architecture for the blocked parallel algorithms computing the triangular form and performing the back substitution. on the back substitution stage of the algorithms, architecture a1 gives the acceleration of up to 125%, and architecture a2 gives the acceleration of up to 413% compared to architecture a0. the experiments clearly show that the proposed architectures, a1 and a2 outperform a0 depending on the number of thread blocking and unblocking operations, which happen during the execution of multi-threaded applications. the conducted computational experiments demonstrate the improvement of parameters of multithreaded applications on a heterogeneous multi-core system due the proposed advanced versions of the thread scheduler.…”
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Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies by Basha Shaik Asif, Zia Amir, B Kirankumar, S Chandra Sekhar, S Sumithra, R Monisha Jothi

“…Moreover, the study examines hybrid AI-based models that integrate private and public blockchains to enhance transaction throughput, scalability, and data privacy. The idea is to make financial systems more stable, accessible, and effective while minimizing environmental impact via energy-efficient consensus mechanisms.…”
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Ophthalmic Bioengineering. Review by V. O. Ponomarev, A. E. Zhdanov, P. V. Luzhnov, I. D. Davydova, E. N. Iomdina, A. V. Lizunov, A. Yu. Dolganov, S. A. Ivliev, M. A. Znamenskaya, V. N. Kazajkin, V. I. Borisov, E. O. Filatova

“…The article presents reports on: metrological aspects of registration of tonometric and electrophysiological signals in ophthalmic diagnostics; approaches to modeling the processes of pulse blood filling of the eye with the determination of hemodynamic parameters; retinotoxicity based on electrophysiological signals; analysis of electrophysiological signals in the frequency-time domain and its application in clinical practice; extraction and analysis of specialized data obtained from the electrophysiological medical device; as well as diagnosing retinal diseases based on optical coherence tomography using machine learning.…”
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