YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments by Yangtian Lin, Yujun Xia, Pengcheng Xia, Zhengyang Liu, Haodi Wang, Chengjin Qin, Liang Gong, Chengliang Liu

“…Third, we applied knowledge distillation to transfer the enhanced model to a compact YOLO11n framework, maintaining high detection efficiency while reducing computational cost, and optimizing it for deployment on devices with limited computational resources. …”
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A case for myoglobin-macromolecular rate theory applied to pseudo peroxidase kinetics by Collin Tuttle, Michael Hannesson, Amy Henrichsen, Lily Hainsworth, Camille Condie, Aj Whitesides, Archel Oren, Simeon Tanner, Benjamin Terry, Jacob Cannon, Jeremy Johansen, Alisha Bhatia, Daniel Scott

“…Additionally, our research notes the pH-dependence of myoglobin’s catalytic efficiency compared to traditional peroxidases, offering implications for understanding its broader biological roles.…”
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Indacenodithienothiophene-based A-D-A-type phototheranostics for immuno-phototherapy by Yangtian Ye, Shaojing Zhao, E Pang, Yuanyu Tang, Pan Zhu, Wenjie Gao, Qingxu Diao, Jie Yu, Jie Zeng, Minhuan Lan, Jianing Yi

“…Abstract The development of phototherapeutics with high photothermal conversion efficiency (PCE) and strong ability to generate reactive oxygen species under single near-infrared (NIR) laser irradiation for immuno-phototherapy applications remains a significant challenge. …”
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Automatic Lateralization of Temporal Lobe Epilepsy Based on MEG Network Features Using Support Vector Machines by Ting Wu, Duo Chen, Qiqi Chen, Rui Zhang, Wenyu Zhang, Yuejun Li, Ling Zhang, Hongyi Liu, Suiren Wan, Tianzi Jiang, Junpeng Zhang

“…Brain-network features were extracted for each participant using three network metrics (nodal degree, betweenness centrality, and nodal efficiency). A radial basis function kernel SVM (RBF-SVM) was employed as the classifier. …”
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Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective by Yachao Zhao, Xin Du, Qiangzi Li, Yuan Zhang, Hongyan Wang, Yunzheng Wang, Jingyuan Xu, Jing Xiao, Yunqi Shen, Yong Dong, Haoxuan Hu, Sifeng Yan, Shuguang Gong

“…These findings underscore the need for tailored adaptation strategies, such as enhancing water-use efficiency in inland provinces and optimizing agronomic practices in coastal regions. …”
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Fault reconfiguration control strategy of islanded marine ranching power supply system based on deep reinforcement learning by Yichun Wang, Bo Zhang, Rongjie Wang, Jiang Desong, Yabo Cui, Zhouyang Sun, Hao Liu

“…To enhance convergence efficiency and generalization capability of the algorithm, noise networks are used to improve exploration ability of dueling DQN algorithm by implementing linear layers with learnable noise using an adaptive noise model. …”
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Multicomponent one-pot construction of benzo[f]quinoline-linked covalent organic frameworks for H2O2 photosynthesis by Ke-Hui Xie, Guang-Bo Wang, Fang Huang, Fei Zhao, Jing-Lan Kan, Zi-Zheng Chen, Lei Cai, Shu-Lin Han, Yan Geng, Yu-Bin Dong

“…This work not only provides a general synthetic route for the preparation of fully conjugated COFs, but also helps the rational design of COF-based photocatalysts for efficient H2O2 photosynthesis.…”
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Retina‐Inspired X‐Ray Optoelectronic Synapse Using Amorphous Ga2O3 Thin Film by Huili Liang, Xiaoyan Tang, Hang Shao, Rui Zhu, Shizhi Deng, Xiaozhi Zhan, Tao Zhu, Jiwei Wang, Jihua Zhang, Guangyu Zhang, Zengxia Mei

“…Neuromorphic optoelectronic synapses, as a preferable option to promote the efficiency of image recognition, are hotly pursued in non‐ionizing radiation range, but rarely in ionizing radiation including X‐rays. …”
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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…Similarly, an IRS deployment with 32 elements enhances MARL’s efficiency by leveraging improved signal reflections, leading to significant performance gains. …”
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The mechanism of telomerase Cajal body protein 1 regulating senescence of mouse bone marrow mesenchymal stem cells by Shu-qian Lin, Nini Tian, Xiang Yao, Xing-hua Pan, Zi-an Li, Qiang Wang, Jin Gao, Xi-long Zhao, Guang-ping Ruan

“…Abstract Objective The regulatory ability of bone marrow stem cells (BMSC) to chemokines and inflammatory factors has a significant effect in a variety of diseases. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…A State of Health (SOH) estimation of lithium-ion batteries is a core function of battery management systems, directly affecting the safe operation, lifetime prediction, and economic efficiency of batteries. However, existing methods still face challenges in balancing feature robustness and model generalization ability; for instance, some studies rely on features whose physical correlation with SOH lacks strict verification, or the models struggle to simultaneously capture the temporal dynamics of health factors and nonlinear mapping relationships. …”
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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

“…Determining drug-target affinity (DTA) is a pivotal step in drug discovery, where in silico methods can significantly improve efficiency and reduce costs. Artificial intelligence (AI), especially deep learning models, can automatically extract high-dimensional features from the biological sequences of drug molecules and target proteins. …”
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FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…With the widespread application of computer vision technology in dermatology, automating skin lesion classification through computer algorithms has become a crucial method for improving diagnostic efficiency and reducing the mortality rate due to malignant skin conditions. …”
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Calculation and Experimental Study of the Dynamics of the Track Mover Bypass of a Cross-Country Transport Vehicle by Alexey I. Taratorkin, Sergey V. Abdulov, Viktor B. Derzhanskii, Alexandr A. Volkov, Evgeniy B. Sarach, Alexandr I. Komissarov

“…The model allows for further development for the purpose of in-depth study and consideration of various factors acting in the design elements of the track mover, such as the features of the interaction of the support rollers with the links in the support branch of the track, the formation features of the moment of resistance to rotation and the turning moment depending on the type of the turning mechanism — stepped, differential hydrostatic. The efficiency of the model is assessed using the example of studying the phenomenon of “capture” of the track by the drive wheel when running over a typical unevenness of a sinusoidal profile. …”
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The superiority of feasible solutions-moth flame optimizer using valve point loading by Mohammad Khurshed Alam, Herwan Sulaiman, Asma Ferdowsi, Md Shaoran Sayem, Md Mahfuzer Akter Ringku, Md. Foysal

“…They have evolved the ability to navigate at night using a technique called transverse orientation. …”
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Nonlinear multimode photonics on-chip by Vitali Valerio, Bucio Thalía Domínguez, Liu Hao, Haines Jack, Naik Pooja Uday, Guasoni Massimiliano, Gardes Frederic, Pavesi Lorenzo, Cristiani Ilaria, Lacava Cosimo, Petropoulos Periklis

“…Nonlinear integrated photonics, which takes advantage of the strong field enhancement in integrated waveguides to boost the efficiency of nonlinear effects, has paved the way for the demonstration of cutting-edge applications. …”
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Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review by Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf

“…Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. …”
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Impacts of flexible renewable hybrid system with electric vehicles considering economic reactive power management on microgrid voltage stability and operation by Huan Xie, Ihab Omar, Husam Rajab, Rishabh Chaturvedi, Abdullah Abed Hussein, Narinderjit Singh Sawaran Singh, Jaber M. Asiri, Nimesh Raj, Tannmay Gupta, Ahmad Alizadeh

“…Abstract This article delves into the eco-friendly operation of a smart microgrid, highlighting its ability to maintain voltage security through a flexible renewable hybrid system. …”
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Broadband Photonic Microwave Signal Processor With Frequency Up/Down Conversion and Phase Shifting Capability by Tao Li, Erwin Hoi Wing Chan, Xudong Wang, Xinhuan Feng, Bai-Ou Guan, Jianping Yao

“…A new dual-function photonic microwave signal processing structure that has the ability to realize both frequency up/down conversion and RF/IF phase shifting, is presented. …”
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gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation by Jinyang Zhang, Hongxin Ding, Hongxin Ding, Runchuan Zhu, Weibin Liao, Weibin Liao, Junfeng Zhao, Junfeng Zhao, Min Gao, Xiaoyun Zhang

“…Both architectures show significant improvements in handling the unique challenges of oral cancer images.ResultsExtensive experiments on public datasets show that our GAM-enhanced architecture significantly outperforms conventional models, achieving superior accuracy, robustness, and efficiency in OSCC diagnosis.DiscussionOur approach provides an effective tool for clinicians in diagnosing OSCC, reducing diagnostic variability, and ultimately contributing to improved patient care and treatment planning.…”
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