Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence by Ahmet Cifci

“…Ensuring the stability and reliability of the grid, particularly with the integration of renewable energy sources and the increase in the number of prosumers, is a primary challenge in this domain. …”
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A Province-Wide Home Dialysis Program Review: Challenges, Strengths, and Future Strategies by Megan Borkum, Micheli Bevilacqua, Alexandra Romann, Krishna Poinen, Sushila Saunders, Linda Turnbull, R. Suneet Singh, Adeera Levin, Michael A. Copland

“…Sources of information: This review draws on published articles, program reports, and insights from the provincial kidney care program framework. …”
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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…In this work, we propose a novel framework that fundamentally advances existing Transformer-based methods through the introduction of the Dynamic Temporal Attention Network (DTAN) and the Hierarchical Temporal Optimization Strategy (HTOS), which jointly address long-term dependency capture, interpretability, and domain-specific adaptation in a unified architecture. …”
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Limnospira fusiformis from Lake Solenoe, Omsk: Rationalizing Marketing and Research by Elena A. Moliboga, Viktoriya V. Leushkina

“…As a result, food producers turn to alternative protein sources, such as microalgae. Microalgae are rich in protein (60%), unsaturated fatty acids, and other nutrients. …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…NDLO integrates multimodal data sources, including neurophysiological signals and behavioral feedback, to refine personalized learning pathways. …”
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Epidemiological Rationale for Changing the Strategy and Tactics of Vaccination of Pertussis in Current Conditions by K. A. Subbotina, I. V. Feldblium, E. A. Kochergina, N. A. Lechtina

“…A research objective – definition of the main directions of improvement of epidemiological control of a pertussis on the basis of studying of manifestations of epidemic process and its determinants. Materials and methods. The analysis of incidence is carried out according to official statistics in 19 years, the population antipertussoid immunity is studied by results of routine serological monitoring and specially organized screening researches. …”
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Large-scale activity-based demand generation modeling: A literature review and exploration of potential approaches by Ngoc An Nguyen, Joerg Schweizer, Federico Rupi

“…Furthermore,potential research directions are also discussed, including the development of travel models for large-scale scenarios using big data sources and the optimization of their integration with dynamic traffic assignment. …”
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Application of the multiagent approach for modeling integrated energy systems by V. A. Stennikov, E. A. Barakhtenko, G. S. Mayorov

“…Traditionally, the considered energy systems unite large energy sources, such as hydro, thermal power plants, combined heat and power plants, boiler plants and electric and pipeline networks distributed over a large area. …”
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Identifying Key Parameters for Reducing Recombination Losses at the p-n Junction of Chalcopyrite Thin-Film Solar Cells by Amala Elizabeth, Harry Mönig

“…This allows to develop specific strategies to reduce interface recombination losses for device optimization and improved solar-cell efficiencies.…”
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Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…This, as a result, complicates the optimization of devices.Aim. To develop an approach capable of determining the contribution of various sources to the nonlinear distortion of baseband pulse signals.Materials and methods. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…These findings provide practical insights for optimizing wind energy forecasting models, which can improve energy trading strategies, enhance grid stability, and support informed decision making in renewable energy investments. …”
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Integration of interior design strategies and computer-aided design technology guided by morphogenetic theory by Jie Zhang, Zhongxian Ren

“…Among them, this study adopts a method based on an open-source computer vision library to identify double line walls and windows in the drawings. …”
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Efficient Calculation and Component Analysis of Fault Current in MMC-HVDC Grid by Lixu Chen, Jun Yan, Xiufang Jia, Chengyong Zhao, Jianzhong Xu

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Spatio-Temporal Fusion of Landsat and MODIS Data for Monitoring of High-Intensity Fire Traces in Karst Landscapes: A Case Study in China by Xiaodong Zhang, Jingyi Zhao, Guanzhou Chen, Tong Wang, Qing Wang, Kui Wang, Tingxuan Miao

“…Moreover, in our karst landscape study area, our proposed Hybrid Strategy selection framework can dynamically optimize the fusion process of multi-source satellite data, which is significantly better than a single fusion strategy. (3) The dNBR-based extraction achieved 90.00% producer accuracy, 69.23% user accuracy, and a Kappa coefficient of 0.718 when validated against field data. …”
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Hyperspectral and Multispectral Remote Sensing Image Fusion Based on a Retractable Spatial–Spectral Transformer Network by Yilin He, Heng Li, Miaosen Zhang, Shuangqi Liu, Chunyu Zhu, Bingxia Xin, Jun Wang, Qiong Wu

“…Fusion that aims to emphasize spatial–spectral heterogeneous characteristics may significantly enhance the robustness of joint representation for multi-source data. To address these issues, this study proposes a hyperspectral and multispectral remote sensing image fusion method based on a retractable spatial–spectral transformer network (RSST) and introduces the attention retractable mechanism into the field of remote sensing image fusion. …”
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Validation of a DIVA qPCR Duplex Assay to Differentiate Primun Salmonella T Vaccine from <i>Salmonella enterica</i> subsp. <i>enterica</i> Serovar Typhimurium Wild Strains by Antonio Martínez-Murcia, Aaron Navarro, Adrián García-Sirera, Paloma Romero, Caridad Miró-Pina, Jesús María Rubio, Ante Blazevic

“…Analytical specificity and sensitivity, as well as diagnostic specificity and sensitivity, were evaluated with optimal results. This qPCR assay significantly reduces the time required to obtain a diagnostic result compared to reference methods based on antibiogram differentiation. …”
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Odontogenic Maxillary Sinusitis: Etiological Pathways and Clinical Implications – A Contemporary Review by Maria Potrykus, Wiktoria Musyt, Wiktoria Pietruszka, Przemysław Klasicki

“…Coordinated collaboration between dental and otorhinolaryngological specialists plays a key role in optimizing treatment outcomes and reducing the risk of complications. …”
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Recent Advances and Strategies for Co‐Based Catalysts in Ammonia Decomposition for Hydrogen Production by Sujin Kim, Young Woo Kim, Iljun Chung, Chaeeun Lim, Kijung Yong, Yongju Yun

“…Key strategies to enhance the hydrogen formation rate include optimizing the Co precursor and synthesis methods, incorporating a second active metal and promoters, tuning the physical properties of the catalyst, and doping heteroatoms into the support. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Experimental results on real-world walkie-talkie datasets, as well as two open-source benchmark datasets for cellphones and drones, demonstrate that the proposed method outperforms state-of-the-art deep learning approaches in both accuracy and robustness.…”
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