From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins by Elanchezhian Arulmozhi, Nibas Chandra Deb, Niraj Tamrakar, Dae Yeong Kang, Myeong Yong Kang, Junghoo Kook, Jayanta Kumar Basak, Hyeon Tae Kim

“…This research provides an overview of the current landscape of digital transformation in the livestock sector, emphasizing applications in animal monitoring, environmental management, precision agriculture, and supply chain optimization. Our findings highlight the need for high-quality data, comprehensive data privacy measures, and integration across varied data sources to ensure accurate and effective DT implementation. …”
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Characterizing Continuous Gravitational Waves from Supermassive Black Hole Binaries in Realistic Pulsar Timing Array Data by Emiko C. Gardiner, Bence Bécsy, Luke Zoltan Kelley, Neil J. Cornish

“…Anticipating a continuous gravitational-wave (CW) detection from a single binary soon to follow, we examine how well current Bayesian methods can detect CWs and characterize their binary properties by modeling the response of the NANOGrav 15 yr pulsar timing array to simulated binary populations. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…This method has been referred as the MM optimization in scientific literature. …”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…This study introduces a novel CART-ANOVA (Cartesian-ANOVA) hyperparameter tuning framework, which differs from traditional optimization methods by systematically integrating statistical significance testing (ANOVA) with the Cartesian product of hyperparameter values. …”
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ANALYSIS OF THERMOTECHNICAL CHARACTERISTICS OF HYDROCARBON FUEL VARIABLE COMPOSITION by E. R. Saifullin, S. A. Nazarychev, A. V. Gazeykina, Y. V. Vankov, I. V. Larionova

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Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification by Ana Davila, Jacinto Colan, Yasuhisa Hasegawa

“…However, discrepancies between source and target domains can hinder effective transfer learning. …”
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Biomass to sustainable biofuels: A novel hybrid process integrating CO₂ CPU and high-temperature syngas for methanol/DME synthesis—4E analyses with multi-objective optimization (NS... by Mohammad Mirani, Farhad Shahraki, Mohammad reza Sardashti Birjandi, Mehdi Bayat, Asiyeh Sheikhzadeh-Takabi

“…The system innovatively integrates high-purity CO₂ (>97%) from a Compression and Purification Unit (CPU) with high-temperature syngas (∼1000°C) from biomass gasification to synthesize methanol (MeOH) and dimethyl ether (DME) as biofuels. This method creatively combines CPU-sourced CO₂ and syngas use with Rankine cycle technology, seeking to reduce reliance on fossil fuels while improving efficiency and sustainability. …”
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Costing of the breeding operations for the national maize programs in Eastern and Southern Africa by Biswanath Das, Biswanath Das, Samuel K. Mutiga, Samuel K. Mutiga, Olivia Odiyo, Olivia Odiyo, Sammy Madahana, Sammy Madahana, Dragan Milic, Dragan Milic, Lubasi Sinyinda, Kabamba Mwansa, Ronica Mukaro, Davison Chaingeni, Godfrey Asea, Daniel B. Kwemoi, Lennin Musundire, Lennin Musundire

“…Results show that the percentage of budgets allocated to germplasm development ranged from 25% (DR&SS) to 52% (NARO), with conventional methods costing 7 to 47 times more than doubled haploids. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Finally, eight types of LCZ landscape pattern indices are preliminarily selected at the type and landscape scale levels, and the optimal research size is obtained using the moving window method in Fragstats 4.2 software. …”
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A novel and easy‐to‐implement modulation scheme for reducing modulation complexity in modular multilevel converter by Zichen Wang, Zhijie Liu, Ke‐Jun Li, Jinxin Dou, Zhonglin Guo, Xiaoxue Ge

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Application of Electrical Resistivity Measurements for Continuous Monitoring of the Municipal Solid Waste Biodrying Process by Bongkoch Chungam, Hiroyuki Ishimori, Soydoa Vinitnantharat, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

“…While the lack of proper real-time monitoring methods hinders the optimization of the biodrying processes. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…These methods face challenges in scalability, interpretability, and their ability to incorporate domain-specific knowledge into analytical pipelines, limiting their utility in practical applications.MethodsTo address these gaps, we propose a novel approach combining the Dynamic Medical Graph Framework (DMGF) and the Attention-Guided Optimization Strategy (AGOS). …”
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Synthesis and characterization of original fluorinated bis-cyclic carbonates and xanthates from a fluorinated epoxide by Alaaeddine, Ali, Ladmiral, Vincent, El Malti, Wassim, Haydar, Lolwa, Caillol, Sylvain, Améduri, Bruno

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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

“…TensorFlow framework is used to build a multi-source data fusion neural network prediction model. …”
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Research on site selection and capacity determination problem based on improved particle swarm algorithm by Xiaotong Mi, Qinyang Liu, Bo Geng, Yong Zhu

“…This scheme first adopts the reactive power correction method to process various types of nodes. Secondly, the traditional particle swarm optimization (PSO) and ant colony optimization (ACO) algorithms are improved to solve problems such as slow optimization speed in the early and late stages of optimization, premature convergence, and being prone to fall into local optimum. …”
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A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

“…This paper presents a novel adaptive droop control strategy integrating artificial neural networks and particle swarm optimization to enhance microgrid performance. Unlike prior methods that optimize artificial neural network parameters, the proposed approach uses particle swarm optimization offline to generate optimal dq−axis voltage references that compensate for line effects and load variations. …”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…Here we present a dual-channel deep learning model, integrating surveillance images and multi-source numerical data for air quality forecasting. …”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty by Yuan Ma, Yongping Li, Guohe Huang, Yuanrui Liu, Yufei Zhang

“…In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. …”
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Strategic Demand Response for Economic Dispatch in Wind-Integrated Multi-Area Energy Systems by Peng Li, Li Wang, Peiqiang Zhang, Peng Yan, Chongyang Li, Zhe Nan, Jun Wang

“…Simulation results demonstrate that the proposed approach significantly improves system efficiency by balancing supply-demand mismatches and reducing reliance on external power sources. Compared to conventional methods, the DR capabilities of industrial and commercial loads have increased by 8.08% and 6.69%, respectively, which is primarily due to enhanced utilization of wind power and optimized storage deployment. …”
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