Enhanced automatic voltage regulation using an extended PIDA controller optimised by the snake algorithm by Nelson Dhanpal Chetty, Ravi Gandhi, Gulshan Sharma, Emre Çelik, Rajesh Kumar

“…The AVR system was tested with ±25 % and ±50 % variations in system parameters to assess robustness under parametric uncertainty. …”
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Magnetic Field of a Ring-like Molecular Cloud by Dana Alina, Adel Umirbayeva, Yasuo Doi, Soichiro Jo, Yue Hu, Alex Lazarian, Janik Karoly, Tie Liu, Koji S. Kawabata, Alua Mukhash, Danial Zhumagayir, Tomori Hori, Tetsuharu Maruta, Ryo Imazawa, Tatsuya Nakaoka, Mahito Sasada

“…Variations in CO-derived orientations further suggest that local dynamical effects, such as gravitational interactions and turbulence, influence the cloud’s structure. …”
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Generation of femtosecond polygonal optical vortices from a mode-locked quasi-frequency-degenerate laser by Hongyu Liu, Lisong Yan, Liang Wang, Dongfang Li, Shenao Zhang, Xin Liu, Heyan Liu, Kunjian Dai, Qing Wang, Jinwei Zhang

“…Abstract Polygonal optical vortices—a new subset of optical vortices—uniquely enable numerous applications due to the new degrees of freedom offered and their customizable light intensity structure. So far, their generation has only been reported for continuous wave. …”
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Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing by Xiaomeng Li, Haochen Yang, Enzong Wu, Xincheng Yao, Ying Li, Fei Gao, Hongsheng Chen, Zuojia Wang

“…This decoupling achieves independent control and signal isolation within the same structure, effectively emulating the unidirectional transmission of biological networks. …”
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The Chinese Air-Sea heat Flux (CASFlux) gridded dataset: description and validation by Rongwang Zhang, Weihao Guo, Fenghua Zhou, Jiyuan Yin, Jian Huang, Xin Wang

“…Furthermore, CASFlux demonstrates significantly enhanced capability in accurately representing the intricate structure of tropical cyclones. Regarding the seasonal and long-term variations in air-sea heat flux, CASFlux shows similarities to the existing flux products and also possesses its own distinct features. …”
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Metagenome Analysis Reveals Changes in Gut Microbial Antibiotic Resistance Genes and Virulence Factors in Reintroduced Giant Pandas by Wanju Feng, Chenyi Gao, Xinyuan Cui, Bing Yang, Ke He, Qiuyu Huang, Xinru Yang, Kaizhi Wen, Jiadong Xie, Zhisong Yang, Lifeng Zhu

“…Our findings revealed significant variations in the composition of ARG and VF across different stages, with released and wild giant pandas exhibiting similar ARG and VF profiles. …”
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Robust SAR Change Detection Using Hierarchical Clustering With Adaptive Parameter Tuning by Ahidjo Abdoulaye, Alejandro C. Frery, Mingyang Ma, Shaohui Mei

“…Change detection in synthetic aperture radar imagery is challenging due to noise, complex nonlinear features, and variations in underlying data distributions. Traditional clustering-based methods often make strong assumptions about data structure, struggle with noise, and fail to handle the intricate characteristics of radar images effectively. …”
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Genome sequence of Ralstonia syzygii subsp. celebesensis, the causal agent of banana blood disease on Musa balbisiana cultivar Kepok in bali, Indonesia by Ady Bayu Prakoso, Siti Subandiyah, Intan Berlian, Tri Joko, Fenny Martha Dwivany, Yudo Prasetyo, Ketut Wikantika, Tri Muji Susantoro

“…Comparative analysis with the Yogyakarta isolate highlights molecular variations likely influenced by geographic isolation across the Wallace Line.…”
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B-TCSR: a co-evolutionary model for multimodal misinformation propagation in hypergraphs by Shibo Zhang, Hongchang Chen, Shuxin Liu, Kai Wang, Junjie Zhang, Ran Li

“…Moreover, analysis using partial rank correlation coefficients demonstrates that the hypergraph-based model is more sensitive to parameter variations than traditional graph structures. Through practical case studies, the reliability and applicability of the results are validated. …”
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PATNet: Permute attention and transformer-enhanced network for segmentation of musculoskeletal ultrasound images by Yating Wu, Feng Bu, Jin Tian, Li Zhao, Guangfei Yang, Jianming Lu

“…However, owing to the structural complexity of muscle fibers, traditional image segmentation methods still face significant challenges in accurately identifying subtle pathological regions. …”
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Whole-body 2D human pose estimation based on human keypoints distribution constraint and adaptive Gaussian factor by Fan Wei, Guanghua Xu, Qingqiang Wu, Penglin Qin, Leijun Pan, Yihua Zhao, Kai Zhang

“…Owing to the physical structure limitations of the human body, hands and face and the scale differences of different body parts, the results of whole-body 2D human pose estimation methods are often affected. …”
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Intelligent Identification and Prediction of Roof Deterioration Areas Based on Measurements While Drilling by Jing Wu, Zhi-Qiang Zhao, Xiao-He Wang, Yi-Qing Wang, Xiao-Xiang Wei, Zhi-Qiang You

“…The results indicate that these drilling parameters effectively characterize variations in rock structure and strength, with distinct signal features observed particularly in roof deterioration zones. …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…SA-Fit shortens training time and significantly reduces model parameters while using the Transformer structure to ensure prediction accuracy.…”
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Cross-cultural adaptation and psychometric evaluation of the urdu version of the morisky, greene, and levine medication adherence scale (MGLS-4) for major depressive disorder patie... by Sohail Riaz, Fazli Khuda, Nadia Shamshad Malik, Nitasha Gohar, Ayesha Rashid, Abuzar Khan, Abdur Rahman, Sajid Ali, Asif Jan, Aqeel Nasim

“…Significant associations were found between adherence scores and gender, educational attainment, and occupational status (p < 0.005) with education predicting adherence (B = 0.301, p < 0.000), indicating the scale's robustness in detecting adherence variations among Urdu-speaking MDD patients. The UMGLS-4 is a reliable and valid tool for assessing medication adherence in Pakistani MDD patients, effectively capturing adherence variations across demographic variables.…”
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Evaluation of Enogen® corn as a replacement for conventional corn in standard and energy-deficient diets for pullets by Deependra Paneru, Dima L. White, Milan K. Sharma, John M. Gonzalez, Woo K. Kim

“…These results emphasize the resilience of pullets to moderate dietary variations when fundamental nutritional requirements are met. …”
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Principal approaches and achievements in studying race composition of wheat stem rust by A. S. Rsaliyev, Sh. S. Rsaliyev

“…The paper contains information on identifcation of race Ug99 and of its variations including data on areas of their dissemination and on their virulence to Sr-resistance genes. …”
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Radiation-hygienic monitoring and assessment of the doses of the public residing on the radioactively contaminated territories of the Tula region by A. E. Lomovtsev, T. E. Sheveleva, A. S. Karpukhin, A. I. Volodicheva

“…Estimated values of gamma radiation dose rate were stable and laid in the range of normal variations specific to the middle latitudes of the European part of Russia. …”
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Analysis of the controlling factors of resistivity fluctuations in tight sandstone reservoirs of the Hangjinqi gas field, Ordos basin by Liang Liu, Guoshu Huang, Hui Ding, Gongqiang Li, Senyao Ma

“…The results demonstrate that among various factors influencing resistivity—including sedimentary characteristics, clay mineral distribution, porosity, pore structure, and gas content—porosity within distinct pore size ranges is the primary controlling factor driving resistivity variations. …”
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A Physics‐Informed Deep Learning Framework for Estimating Thermal Stratification in a Large Deep Reservoir by Yuan He, Xiaofan Yang

“…The proposed MP‐KgNN is expected to become a powerful tool for estimating long‐term variations in the thermodynamics of lake ecosystems.…”
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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

“…However, the current performance prediction models mainly relied on porosity, ignoring the influence of other pore structure parameters, resulting in insufficient prediction accuracy. …”
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