M<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>Convformer: Multiscale Masked Hybrid Convolution-Transformer Network for Hyperspectral Image Super-Res... by Shuo Wang, Boneng Shi, Ninglian Wang, Yuzhu Zhang, Yan Zhu

“…This work focuses on the single hyperspectral image super-resolution problem and develops a multiscale masked hybrid convolution-transformer framework. …”
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TIME MANAGEMENT MODEL IN THE ENTERPRISE PERSONNEL SECURITY SYSTEM by Сергій Шевченко, Марта Оліховська, Роксолана Винничук, Марія Бардадим, Ростислав Дарміць, Ольга Чепець

“…The work used the methodology of system analysis, which allowed for a comprehensive consideration of the problem and the formation of a multi-level model of working time management. …”
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swPHoToNs: Toward trillion‐body‐scale cosmological N‐body simulations on Sunway TaihuLight supercomputer by Zhao Liu, Qiao Wang, Xiaojing Lv, Xu Liu, Hongsong Meng, Guanghui Zhu, Liang Gao, Haohuan Fu, Guangwen Yang

“…Abstract Cosmological N‐body simulations have been essential for astronomers to study the formation of nonlinear structures and hypotheses of dark matter, dark energy, etc. The scale of the problem naturally leads to extreme scenarios with billions or even trillions of particles, thus demanding massive computational power and highly efficient algorithms. …”
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Recommendations from the Expert Meeting «Secondary progressive multiple sclerosis: unresolved issues and prospects» by N. V. Khachanova, A. N. Boyko, K. Z. Bakhtiyarova, Ya. V. Vlasov, E. P. Evdoshenko, S. A. Sivertseva, T. E. Schmidt, M. V. Shumilina

“…The meeting of experts discussed the clinical and pathophysiological features of secondary progressive multiple sclerosis (MS) (SPMS), clinical trials, and promising treatments for the progressive MS stage, as well as proposals contributing to the improvement of the current state of the problem of SPMS. …”
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Development and assessment of a machine learning tool for predicting emergency admission in Scotland by James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett

“…The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public health planning. …”
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Charting γ-secretase substrates by explainable AI by Stephan Breimann, Frits Kamp, Gabriele Basset, Claudia Abou-Ajram, Gökhan Güner, Kanta Yanagida, Masayasu Okochi, Stephan A. Müller, Stefan F. Lichtenthaler, Dieter Langosch, Dmitrij Frishman, Harald Steiner

“…Here, we unravel this problem for γ-secretase, an intramembrane-cleaving protease associated with Alzheimer’s disease and cancer, by developing Comparative Physicochemical Profiling (CPP), a sequence-based algorithm for identifying interpretable physicochemical features. …”
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Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine by A. Fernandez-Navamuel, A. Fernandez-Navamuel, N. Gorostidi, N. Gorostidi, D. Pardo, D. Pardo, D. Pardo, V. Nava, E. Chatzi

“…<p>This work proposes an uncertainty-aware approach to the inverse problem of damage identification in a floating offshore wind turbine (FOWT). …”
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Crack of a helicopter main rotor actuator attachment: failure analysis and lessons learned by L. Allegrucci, F. De Paolis, A. Coletta, M. Bernabei

“…Microscopic fracture features of both the investigated surfaces were not coherent to the hypothesis of an impact of the main rotor to the soil. …”
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Research on Arthroscopic Images Bleeding Detection Algorithm Based on ViT-ResNet50 Integrated Model and Transfer Learning by Zewen Liu, Shaoyi Zhou, Jianqiao Chu, Zhiyuan Chai, Dongdong Chang, Yi Yuan, Jinling Qin, Xiancheng Wang

“…Firstly, Vision Transformer model and ResNet50 model are used to learn features by transfer learning on ImageNet dataset respectively. …”
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STTMC: A Few-Shot Spatial Temporal Transductive Modulation Classifier by Yunhao Shi, Hua Xu, Zisen Qi, Yue Zhang, Dan Wang, Lei Jiang

“…The identification of modulation types under small sample conditions has become an increasingly urgent problem. In this paper, we present a novel few-shot AMC model named the Spatial Temporal Transductive Modulation Classifier (STTMC), which comprises two modules: a feature extraction module and a graph network module. …”
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Knowledge-data-driven power flow calculation for lowvoltage active distribution network considering gray data by LIU Siliang, ZHENG Zenan, ZHANG Yongjun, YI Yingqi, CHI Yuquan

“…To address this, we propose a hybrid method integrating physical knowledge with data-driven techniques. The input-output feature vectors of the deep learning model are constructed based on the DistFlow model, where the head-end node voltage, photovoltaic (PV) output, and load power at user nodes serve as input features, and the voltage magnitude at user nodes is the output feature. …”
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Effects of Distiller’s Grains Biochar and <i>Lactobacillus plantarum</i> on the Remediation of Cd-Pb-Zn-Contaminated Soil and Growth of Sorghum-Sudangrass by Guangxu Zhu, Yufeng Li, Dandan Cheng, Rongkun Chen, Yunyan Wang, Qiang Tu

“…Biochar and microbial inoculants have emerged as a promising approach to solving this problem, and previous studies have focused more on the remediation effects of single types of materials on heavy metal soil pollution. …”
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Global Environmental Geochemistry and Molecular Speciation of Heavy Metals in Soils and Groundwater from Abandoned Smelting Sites: Analysis of the Contamination Dynamics and Remedi... by Hang Xu, Qiao Han, Muhammad Adnan, Mengfei Li, Mingshi Wang, Mingya Wang, Fengcheng Jiang, Xixi Feng

“…Abandoned smelting sites in karst terrain pose a serious environmental problem due to the complex relationship between specific hydrogeological elements and heavy metal contamination. …”
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Comparison of Analysis and Spectral Nudging Techniques for Dynamical Downscaling with the WRF Model over China by Yuanyuan Ma, Yi Yang, Xiaoping Mai, Chongjian Qiu, Xiao Long, Chenghai Wang

“…To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used. …”
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A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks by Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon

“…To consider the behavioral drifting problem of ransomware attacks, a model should be able to generalize the behavior of significant features comprehensively. …”
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HISTORIOGRAPHY OF THE RESEARCH OF PATRIOTIC EDUCATION IN SCHOOLS OF UKRAINE IN THE SECOND HALF OF THE 20th – EARLY 21st CENTURY by Vitalii Y. Kulchytskyi

“…The conducted logical-historical analysis of the scientific problem gave grounds to state that patriotic education in Ukrainian schools in the second half of the 20th – early 21st centuries has not been the subject of a separate comprehensive research. …”
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Methodological approach to estimation of the structure of load bearing insulation materials of buildings and constructions of railway transport by A. I. Adilkhodzhaev, S. S. Shaumarov, E. V. Shchipacheva, N. I. Begmatov

“…Thus, optimization, ultimately, is reduced to solving a multifunctional problem with variable multicomponent parameters. Solving the problem of optimizing macrostructure of cellular concrete on the basis of an experiment using the “trial and error” method is very expensive. …”
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Expanding the prospects of applying stereoscopic image technology in geometry teaching as a consequence of education informatization by Elena A. Bogdanova, Pavel S. Bogdanov, Sergey N. Bogdanov

“…The problem of choosing software environments that allow obtaining high-quality stereoscopic images, as well as the problem of technical equipment selection for the best perception by students of these images in the process of studying stereometry, are relevant. …”
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Risk mapping of bovine hypodermosis using geographical information system (GIS) in cattle of subtropical region, Pakistan by Mobushir Riaz Khan, Haroon Ahmed, Rosario Panadero-Fontan, Ceferino Lopez-Sandez, Muhammad Aamir Khan, Saira Asif, Irfan Mustafa, Muhammad Isthiaq Ali, Hamid Raza, Mazhar Qayyum

“…It is an important health problem of cattle, leading to considerable economic losses. …”
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Modern view on the etiopathogenesis of heart rhythm disorders and methods of their correction in pregnant women by R. Kh. Useinova, A. N. Sulima, A. N. Rybalka, D. A. Beglitse, Z. S. Rumyantseva, P. N. Baskakov, M. A. Dizha, E. M. Dolya

“…Issues of etiopathogenesis for various cardiovascular disorders in the structure of extragenital diseases during pregnancy pose an urgent problem and represent a global topic for further scientific research. …”
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