Multi-Attitude Hybrid Network for Remote Sensing Hyperspectral Images Super-Resolution by Chi Chen, Yunhan Sun, Xueyan Hu, Ning Zhang, Hao Feng, Zheng Li, Yongcheng Wang

“…Extensive experiments demonstrate that our method achieves optimal reconstruction results compared to other state-of-the-art algorithms while effectively reducing the computational complexity.…”
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Co-creation of the Digital Democracy and Data Commons Manifesto: alternative sociotechnical visions of data [version 2; peer review: 2 approved, 1 approved with reservations, 1 not... by Andreu Belsunces, Ricard Espelt, Enric Senabre Hidalgo, Mayo Fuster Morell, Sara Suárez Gonzalo, Antonio Calleja

“…On the other hand, we present and analyse the main results from the content structure of the manifesto over its initial and final versions, which moved progressively as a cohesive text away from a scholarly and policy-oriented tone.…”
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Applications of fault-tolerant control system in the design of wind turbine generation systems: A comprehensive review and future prospects by Arslan Ahmed Amin, Muhammad Irfan, Turki Alsuwian, Saifur Rahman, Ansa Mubarak, Saba Waseem

“…Wind Turbine Generation Systems (WTGS) are widely acknowledged as a key pillar of the renewable power generation sector, while availability and efficiency are among the main issues, particularly those related to faults within systems that reduce performance and increase maintenance costs. …”
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Demographic and clinical features of nontuberculous mycobacteria infection resulting from cosmetic procedures: a systematic review by Xiao Ma, Xing-Yu Li, Jia-Wei Liu

“…Further research is needed to standardize management algorithms.…”
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Influences and Optimizations of Vertical Facades on the Aerodynamic Loadings for High-Rise Buildings by Xu Cheng, Guoqing Huang, Bowen Yan, Qingshan Yang, Chao Wang, Bo Li, Shuguo Liang

“…However, current studies mainly focus on local wind pressure, with limited research on aerodynamic forces and a lack of optimization design methods for vertical facades. …”
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A Flow-Speed Model for Motorways in England: Analysis Under Various Weather Conditions by Ye Liu, Haibo Chen, Chuhan Yin, Vivi Michalaki, Phillip Proctor, Gavin Rowley, Xiaowei Wang, Hongyuan Wei

“…This work proposes a single regime speed–flow model to fit the speed–flow relationship on the M25, London’s main motorway which is recurrently congested, especially near Heathrow Airport. …”
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The Impact of AI-Driven Application Programming Interfaces (APIs) on Educational Information Management by David Pérez-Jorge, Miriam Catalina González-Afonso, Anthea Gara Santos-Álvarez, Zeus Plasencia-Carballo, Carmen de los Ángeles Perdomo-López

“…However, the review also identifies concerns about privacy, algorithmic bias, and limited methodological rigor in existing research. …”
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Application of neural network technology for public opinion analysis by Kyrylo Perevoznyk, Yurii Parzhyn

“…The research is devoted to studying and using neural network technologies, in particular algorithms and methods of natural language processing, to increase the efficiency of studying and analyzing public opinion of Ukraine’s partner countries regarding the war in Ukraine. …”
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Advancing Mental Health Care: Intelligent Assessments and Automated Generation of Personalized Advice via M.I.N.I and RoBERTa by Yuezhong Wu, Huan Xie, Lin Gu, Rongrong Chen, Shanshan Chen, Fanglan Wang, Yiwen Liu, Lingjiao Chen, Jinsong Tang

“…The main contributions include the folowing: (1) Developing an auxiliary diagnostic tool that combines the Mini-International Neuropsychiatric Interview (M.I.N.I.) with finite state machines to systematically collect patient information for preliminary assessments; (2) Enhancing data processing by optimizing retrieval algorithms for efficient filtering and employing a fine-tuned RoBERTa model for deep semantic matching and analysis, ensuring accurate and personalized medical-advice generation; (3) Generating intelligent suggestions using NLP techniques; when semantic matching falls below a specific threshold, integrating medical-knowledge graphs to produce general medical advice. …”
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Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India-An application of small area estimation techniques. by Hukum Chandra, Kaustav Aditya, U C Sud

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Consumption of carotenoids not increased by bacterial infection in brown trout embryos (Salmo trutta). by Lucas Marques da Cunha, Laetitia G E Wilkins, Laure Menin, Daniel Ortiz, Véronique Vocat-Mottier, Claus Wedekind

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System Maintainability Estimation with Multi-Peak Time Distribution based on the Bayesian Melding Method by Pei Mochao, Hao Jianping, Gao Cuijuan

“…In some test phases of equipment, the small sample size of test data and the absence of some maintenance operations may lead to a multi-peak phenomenon in data distribution, which is a challenge for Bayesian information fusion based on maintainability assessment. …”
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An Approximate Bayesian Inference for Beta Regression Models by kobra Gholizadeh Gazvar, Mohsen Mohammadzadeh

“…But in problems dealing with data such as the rate or ratio of an event distributed in the (0,1) interval, these models may provide out-of-range predictions for the response variable. …”
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ESTIMATES OF REACHABLE SETS OF CONTROL SYSTEMS WITH BILINEAR–QUADRATIC NONLINEARITIES by Tatiana F. Filippova, Oksana G. Matviychuk

“…Basing on the techniques of approximation of the generalized trajectory tubes by the solutions of control systems without measure terms and using the techniques of ellipsoidal calculus we present here a state estimation algorithms for the studied nonlinear impulsive control problem bilinear-quadratic type.…”
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Implementation of a 2D/3D WebGIS for Electricity Network Management System by M. Amović, V. Arnaut, D. Koprena

“…This study presents a geospatial decision-support system for the low and medium voltage (LV/MV) network of Elektrokrajina d.o.o., the main electricity distributor in Republika Srpska. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…The proposed method consists of two main stages. In the first stage, the frequency range containing the forged segments is identified by extracting high-resolution spectrograms from the audio and matching keypoints within the spectrogram images to detect duplicated segments. …”
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GUIDELINES ON ARTERIAL HYPERTENSION MANAGEMENT OF THE EUROPEAN SOCIETY OF CARDIOLOGY AND EUROPEAN SOCIETY OF HYPERTENSION 2018: WHAT’S NEW? by A. A. Klimenko, D. A. Anichkov, N. A. Demidova

“…Special emphasis is made on evaluation of patient’s treatment adherence as the main reason for insufficient BP control, as well as on increased role of nurses and pharmacists in education, monitoring, and support of patients with AH being an important part of general strategy of BP control.…”
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Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…Secondly, research efforts are concentrated within limited institutions, focusing on certain research questions, algorithms, raw materials, and use-wear traces. Thirdly, the inadequate quality, quantity, and diversity of data affect the performance of the models being developed. …”
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Fault Detection in Photovoltaic Systems Using a Machine Learning Approach by Jossias Zwirtes, Fausto Bastos Libano, Luis Alvaro de Lima Silva, and Edison Pignaton de Freitas

“…The proposed fault detection solutions rely on analyzing different algorithms, including Support Vector Machine, Artificial Neural Network, Random Forest, Decision Tree, and Logistic Regression. …”
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Effective Practices of Macroprudential Stress Testing as a Tool of Increasing the Stability of Russian Financial System in the Context of Macroeconomic Shocks by D. Yu. Desyatnichenko, O. V. Ryabov, O. Yu. Desyatnichenko

“…As a significant disadvantage of many actively used stress testing models, it is noted that they are often focused on complex, highly bureaucratic procedures for the preparation and analysis of financial statements, the main purpose of which is to assess the probabilities and sizes of losses and identify scenarios for the development of the situation for each specific bank, and no risks for the financial system as a whole. …”
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