Chromosome-level genome assembly of Phytoseiulus persimilis Athias-Henriot by Xinyuan Zhou, Endong Wang, Xuenong Xu, Bo Zhang

“…Abstract As a globally recognized predatory mite, Phytoseiulus persimilis Athias-Henriot is known for its highly effective control of pest mites. Also, as a model species in Phytoseiidae, P. persimilis possesses unique biological characteristics, such as the first offspring developing into a male with a strict sex sequence. …”
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Smart Grid Fault Mitigation and Cybersecurity with Wide-Area Measurement Systems: A Review by Chisom E. Ogbogu, Jesse Thornburg, Samuel O. Okozi

“…This study highlights models of PMU and WAMS deployment for conventional grids to convert them into smart grids in terms of the Smart Grid Architecture Model (SGAM). …”
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High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics by Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali

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Comparative Study of Construction Methods for Deeply Buried Soil Tunnels by Ziguang Zhang, Mengqing Zhang, Lei Zhang, Lin Wei, Yong He

“…The strong agreement between simulation and monitoring data highlights the model’s reliability and its value in guiding tunnel design and construction optimization.…”
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Generalized Ambiguity Function for Bistatic FDA Radar Joint Velocity, Range, and Angle Parameters by Xuchen Gao, Junwei Xie, Zihang Ding, Mengdi Zhang, Haowei Zhang, Haolong Zhai, Weihang Han

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Multi-User Opportunistic Spectrum Access for Cognitive Radio Networks Based on Multi-Head Self-Attention and Multi-Agent Deep Reinforcement Learning by Weiwei Bai, Guoqiang Zheng, Weibing Xia, Yu Mu, Yujun Xue

“…Aiming to address the issue of multi-user dynamic spectrum access in an opportunistic mode in cognitive radio networks leading to low sum throughput, we propose a multi-user opportunistic spectrum access method based on multi-head self-attention and multi-agent deep reinforcement learning. First, an optimization model for joint channel selection and power control in multi-user systems is constructed based on centralized training with a decentralized execution framework. …”
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AI-driven energy management system based on hesitant bipolar complex fuzzy Hamacher power aggregation operators and their applications in MADM by Walid Emam, Hafiz Muhammad Waqas, Tahir Mahmood, Ubaid ur Rehman, Dragan Pamucar

“…Abstract Artificial Intelligence (AI) based energy management systems utilize sophisticated AI algorithms to improve and control the consumption of energy in various sectors, such as power utilities, industrial systems, and smart buildings. …”
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Dynamic-Step-Size Regulation in Pulse-Coupled Neural Networks by Jiayi Geng, Fanqing Ji, Shouliang Li, Yulin Shen, Zhen Yang

“…Thus, the number of groups of image segmentation becomes controllable and the model itself becomes more adaptive than ever for various scenarios. …”
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Preliminary Assessment of Electromagnetic Field Effects Induced by High and Medium Voltage Power Lines on Carbon Assimilation in Maize and Sunflower Crops by Viorel Fătu, Vasilică Savu, Agripina Șapcaliu, Roxana Zaharia, Iulian Voicea

“…The objective of the research is to develop an experimental model for evaluating the influence of electromagnetic fields generated by medium-voltage (1–35 kV) and high-voltage (35–275 kV) power lines on maize and sunflower crops. …”
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Multidisciplinary DRG management for rational medication in obstetrics: a cost analysis in Zhejiang Province by Qiqin Zhang, Geer Zhang, Shuangneng Yang, Meng Zhang, Shujuan Shu, Mengdan Zhao

“…This represents a transformation from reactive cost control to proactive medication optimization. Methods This study collected DRG data of obstetric patients from a hospital between 2020 and 2024. …”
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The Influence of Temperature on Rheological Parameters and Energy Efficiency of Digestate in a Fermenter of an Agricultural Biogas Plant by Maciej Filip Gruszczyński, Tomasz Kałuża, Wojciech Czekała, Paweł Zawadzki, Jakub Mazurkiewicz, Radosław Matz, Maciej Pawlak, Paweł Jarzembowski, Farokh Sahraei Nezhad, Jacek Dach

“…These findings emphasize that temperature adjustments within bioreactors could serve as a reliable control strategy to maintain optimal production conditions while minimizing operational costs.…”
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Impact of contact tracing on COVID-19 mortality: An impact evaluation using surveillance data from Colombia. by Andres I Vecino-Ortiz, Juliana Villanueva Congote, Silvana Zapata Bedoya, Zulma M Cucunuba

“…This study assesses the impact of contact tracing in a middle-income country, providing data to support the expansion and optimization of contact tracing strategies to improve infection control.…”
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Defining a Novel Meaning of the New Organic Architecture by Jia-Rey Chang

“…At present, people are confronting the unprecedented unification of machine and biology which has been revealed by the means of advancing industrial processes towards the organic model. In his remarkable publication, “Out of Control: The New Biology of Machines, Social Systems, and the Economic World” (Kelly, 1995), Kevin Kelly makes an interesting observation that “Machines are becoming biological and the biological is becoming engineered”. …”
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Solar Agro Savior: Smart Agricultural Monitoring Using Drones and Deep Learning Techniques by Manu Mundappat Ramachandran, Bisni Fahad Mon, Mohammad Hayajneh, Najah Abu Ali, Elarbi Badidi

“…It also utilizes an attention-based mechanism that enables the model to assign meaningful weights to the most important parts of the data sequence. …”
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Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction by Sujith Santhosh, Krishnaraj Chadaga, R.Vijaya Arjunan, Sandra D'Souza

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Exploration of the Ignition Delay Time of RP-3 Fuel Using the Artificial Bee Colony Algorithm in a Machine Learning Framework by Wenbo Liu, Zhirui Liu, Hongan Ma

“…Furthermore, permutation importance and local gradient sensitivity analysis reveal that the model can reliably identify and rank key controlling factors—such as temperature, diluent fraction, and oxidizer mole fraction—across low-temperature, NTC, and high-temperature regimes. …”
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A Hybrid CT-DEWCA-Based Energy-Efficient Routing Protocol for Data and Storage Nodes in Underwater Acoustic Sensor Networks by Imran Khan, Muhammad Rauf, Atif Jamil

“…To address these issues, efficient and robust communication models are essential. This research proposes an energy-aware deployment approach and introduces the Controlled Transmission enhanced by hybrid model scheme with Differential Evolution, Whale Optimization, and Chaotic Adaptation (CT-DEWCA) for relay selection. …”
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Selection of Prediction Method of Basic Statistical Work Parameters of N.V. Sklifosovsky Research Institute for Emergency Medicine of the Moscow Healthcare Department by B. L. Kurilin, V. Y. Kisselevskaya-Babinina, N. A. Karasyov, I. V. Kisselevskaya-Babinina, E. V. Kislukhkina, V. A. Vasilyev

“…Indicators for 2017 were taken as control values.Results As a result of the comparison of several methods (moving averages, least squares approach, Brown model, Holt–Winters method, autocorrelation model, Box–Jenkins method) as applied to the work of N.V. …”
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Nitrogen and Phosphorous Removal in Municipal Wastewater Treatment Plants in China: A Review by Yong Qiu, Han-chang Shi, Miao He

“…Furthermore, operational optimization techniques by modeling, simulation, and real-time control were also developed and applied in China to improve the process operation. …”
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A Review of Failures and Malfunctions in Hydraulic Sandblasting Perforation Guns by Zhengxuan Luan, Liguo Zhong, Wenqi Feng, Jixiang Li, Zijun Gao, Jiaxin Li

“…Overall, the integrated application of precision design, dynamic optimization, and intelligent control across the entire service life of perforation guns is poised to guide forthcoming research and engineering practices, driving hydraulic sandblasting perforation technology toward greater efficiency, reliability, and intelligence.…”
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