Armoring hydrophilic wood-structured ultrathick electrode with bimetallic nitride enables high energy-density supercapacitor by Nannan Ming, Jikun Xu, Jingfang Lei, Cankun Hu, Kaifu Huo

“…In especial, monolithic wood carbons with gradient porous network not only function as the high-flux matrices to ameliorate the NiMoN loading via cell wall engineering but also allow fully-exposed electroactive substance and efficient current collection, thereby deliver an acceptable rate capability over 75% retention even at a high sweep rate of 20 mA cm−2. …”
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Load Optimization for Connected Modern Buildings Using Deep Hybrid Machine Learning in Island Mode by Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia

“…Operating in island mode, CSGBs can function independently of the grid, providing resilience during power outages and reducing reliance on external energy sources. …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Entropy generation and heat convection analysis of second-grade viscoelastic nanofluid flow in a tilted lid-driven square enclosure: A finite difference approach by Anil Ahlawat, Mukesh Kumar Sharma, K. Loganathan

“…Moreover, upper wall moves at a uniform velocity in positive x-axis direction. The stream function approach removes the pressure gradient term from the linear momentum equation, and the resulting partial differential equations are discretized via finite differences and then resulting algebraic equations are solved with SOR and SUR methods employing self-developed MATLAB codes. …”
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The third dimension of alpine plant leaf traits is related to cold-tolerance by Yuan Wang, Ji Suonan, Kun Liu, Yanni Gao, Sihao Zhu, Qian Liu, Ning Zhao

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A Spatiotemporal Dataset of Soil Properties in Northeast China Based on Soil Sampling and Interpolation From 2009 to 2020 by Shuzhen Li, Jieyong Wang, Xu Lin, Yaqun Liu

“…By integrating a spatiotemporal covariance function with the Kriging interpolation algorithm, the study systematically resolves the challenge of spatiotemporal collaborative modelling for multi‐year discontinuous observational data. …”
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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

“…The model obtained from SVR with the radial basis function (RBF) kernel was selected as a comprehensive model for predicting and determining the efficacy of the results.…”
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Remote Sensing-Based Analysis of the Coupled Impacts of Climate and Land Use Changes on Future Ecosystem Resilience: A Case Study of the Beijing–Tianjin–Hebei Region by Jingyuan Ni, Fang Xu

“…Our findings highlight the role of climate and land use in reshaping ecological structure, function, and services. This study offers scientific support for assessing and managing regional ecosystem resilience and informs adaptive urban governance in the face of future climate and land use uncertainty, promotes the sustainable development of ecosystems, and expands the applicability of remote sensing in dynamic ecological monitoring and predictive analysis.…”
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Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory by Xiao Wang, Zhongyuan Liang, Peisi Zhong, Dongmin Li, Hongqi Li, Mei Liu

“…The processing state feature data that uses a deep convolutional neural network to fit the value function is extracted from three matrices including the processing time matrix, task assignment Boolean matrix, and an adjacency matrix. …”
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The dynamics of sea otter prey selection under population growth and expansion by Clinton B. Leach, Benjamin P. Weitzman, James L. Bodkin, Daniel Esler, George G. Esslinger, Kimberly A. Kloecker, Daniel H. Monson, Jamie N. Womble, Mevin B. Hooten

“…Specifically, we developed a multilevel Bayesian model to capture how sea otter diet at a location (the number, type, and size of prey collected) changed as a function of local cumulative otter abundance and the year in which the location was first occupied. …”
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The Impact of Pneumoperitoneum on Mean Expiratory Flow Rate: Observational Insights from Patients with Healthy Lungs by Lajos Bogár, Kamilla Domokos, Csaba Csontos, Balázs Sütő

“…Prolonging the inspiratory phase through I:E ratio adjustment helps maintain peak inspiratory pressures closer to baseline levels, and this method enhances the safety and efficacy of mechanical ventilation in maintaining optimal respiratory function during laparoscopic surgery.…”
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Initial impacts of wildfire on overwintering conditions for a Species-at-Risk snake by T.D. North, C.E. Markle, R.Y. Fallas, P.A. Moore, J.M. Waddington

“…Peatlands are important ecosystems that are becoming increasingly vulnerable to climate-mediated disturbances such as wildfire, which can threaten peatland hydrological, biogeochemical, and ecological function. However, the magnitude of these changes and their impacts to peatland-dependent species worldwide is a key knowledge gap. …”
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Spatial Change of Dominant Baltic Sea Demersal Fish Across Two Decades by Liam MacNeil, Frane Madiraca, Saskia Otto, Marco Scotti

“…Local densities drive differences in species contributions to ecological processes and ecosystem function rather than through presence alone. If a species growth rate is strongly controlled by macro‐environmental conditions, then predicting geographical abundance or densities should be possible. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…This stage features a dropout layer for regularization, a dense layer with 512 units for further pattern learning, and a final dense layer with 8 units and a soft max activation function, producing a probability distribution across different disease classes. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Additionally, we introduce a spatially-constrained loss function that mitigates gradient stability issues by considering the distance between label and prediction boundaries. …”
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Behavioral Fever in Lined Seahorse (<i>Hippocampus erectu)</i> Enhances the Immune Response to <i>Vibrio harveyi</i> Infection by Siping Li, Xin Liu, Tingting Lin, Dong Zhang

“…To explore an eco-friendly approach for managing Vibrio-induced enteritis in lined seahorse (<i>Hippocampus erectus</i>) aquaculture, we investigated whether <i>Vibrio harveyi</i> infection triggers behavioral fever and enhances immune function. Seahorses were intraperitoneally injected with <i>V. harveyi</i> (1 × 10⁷ cfu/fish) and placed in a thermal gradient tank (19–31 °C), allowing free movement between chambers. …”
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SIM-IPS: Stacked Intelligent Metasurface-Based Indoor Positioning System by Aisha Javed, Naveed Ul Hassan, Marco Di Renzo, Chau Yuen

“…In this paper, we introduce a stacked intelligent metasurface-based indoor positioning system (SIM-IPS), which is a novel IPS developed using an SIM, a transmissive metasurface with multiple layers of independently controlled meta-atoms. These layers function analogously to the hidden layers in a deep neural network (DNN) and enable advanced beamforming in the electromagnetic (EM) wave domain, thus improving the control of the power distribution at the receiver plane. …”
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SCL-YOLOv11: A Lightweight Object Detection Network for Low-Illumination Environments by Shulong Zhuo, Hao Bai, Lifeng Jiang, Xiaojian Zhou, Xu Duan, Yiqun Ma, Zihan Zhou

“…Meanwhile, the Minimum Point Distance based IoU(MPDIoU) loss function is adopted to mitigate gradient explosion risks while enhancing detection precision. …”
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Spatial association and trade-off/synergy relationships between ecosystem health and human well-being: a case study of the Manas River Basin by Ruiming Xiao, Xiaobin Dong, Xuechao Wang, Xiaomin Xiao, Yichen Yan, Rui Liu, Yuxin Qi

“…High EH–high HWB clusters were predominantly in midstream oases, whereas high EH–low HWB clusters were located in southern forests. (4) Trade-offs and synergies varied along the landscape gradient: ecological stress traded off with all HWB types, while ecological function showed stable synergies with EnvWB and increasing synergies with EcoWB and ECWB. …”
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Safety of Simultaneous Scalp and Intracranial EEG and fMRI: Evaluation of RF-Induced Heating by Hassan B. Hawsawi, Anastasia Papadaki, Vejay N. Vakharia, John S. Thornton, David W. Carmichael, Suchit Kumar, Louis Lemieux

“…The acquisition of electroencephalography (EEG) concurrently with functional magnetic resonance imaging (fMRI) requires a careful consideration of the health hazards resulting from interactions between the scanner’s electromagnetic fields and EEG recording equipment. …”
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