Multi-Unit Coupled Motion Hybrid Generator Based on a Simple Pendulum Structure by Yifan Li, Huiying Li, Lingyu Wan

“…The device integrates eight power generation units, including triboelectric nanogenerators (TENGs), electromagnetic generators (EMGs), and piezoelectric nanogenerators (PENGs), enhancing space utilization and energy conversion efficiency through coupled motion. …”
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Performance evaluation of a ground source heat pump system in India using experimental and modeling approach by Adnan Khan, Abdul Rafey, M Humam Zaim Faruqi, Faisal Zia Siddiqui, Suhail A. Siddiqui, Saeikh Zaffar Hassan

“…This research explores the effectiveness of a Ground Source Heat Pump (GSHP) system for cooling purposes in Indian conditions. …”
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A novel design of a hybrid micro-scale multistage turbine model for sustainable energy sources by Ahmed M. Daabo, Ali Basem, Mudasar Zafar, Ali Alkhabbaz, Abdalqader Ahmad, Qusay R. Al-Amir, Haider K. Easa

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Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…Key findings include: (1) Variables driven by spatiotemporal differentiation were effectively selected, with red-edge bands (B5–B7) during the grain-filling stage in August accounting for 56.7% of the top 30 features, which were closely correlated with canopy chlorophyll content (<i>p</i> < 0.01). (2) A breakthrough in lightweight modeling was achieved, reducing the number of features by 69%, enhancing computational efficiency by 62.5% (from 8 h to 3 h), and decreasing memory usage by 66.7% (from 12 GB to 4 GB), while maintaining classification accuracy (PA: 97.69%, UA: 97.20%, Kappa: 0.89). (3) Multi-source data fusion improved accuracy by 11.54% compared to optical-only schemes, demonstrating the compensatory role of radar in arid, cloudy regions. …”
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Multi-Time Scale Scenario Generation for Source–Load Modeling Through Temporal Generative Adversarial Networks by Liang Ma, Shigong Jiang, Yi Song, Chenyi Si, Xiaohan Li

“…To further enhance the efficiency and practicality of distribution network planning, it is essential to model the uncertainties in source–load dynamic scenarios. …”
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Three-Dimensional Numerical Study on Fracturing Monitoring Using Controlled-Source Electromagnetic Method with Borehole Casing by Qinrun Yang, Maojin Tan, Jianhua Yue, Yunqi Zou, Binchen Wang, Xiaozhen Teng, Haoyan Zhao, Pin Deng

“…The borehole-to-surface electromagnetic imaging method (BSEM) overcomes this limitation by utilizing a controlled cased well source. Placing the source close to the target reservoir and deploying multi-component receivers on the surface enable high-precision lateral monitoring, providing an effective approach for dynamic monitoring of hydraulic fracturing operations. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…We adopt a dual-branch actor structure for independent decisions in UAV control, which reduces decision complexity and improves learning efficiency. The algorithm incorporates task-specific knowledge into the reward function design to guide UAVs in exploring abnormal radiation sources. …”
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Automatic detection of Cyanobacterial blooms using multi-source optical satellite imagery: method development and application by Hailong Zhang, Chen Lu, Deyong Sun, Xiaomin Ye, Shengqiang Wang, Quan Qin

“…However, these methods require ancillary atmospheric data and preprocessing procedures, thereby limiting their operational efficiency and scalability. The potential of multi-source satellite imagery remains underexploited due to the lake of robust methods for automatic CyanoBloom detection across various satellite platforms. …”
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Auxin response factor MdARF18 regulates MdNRT1.1 to affect nitrogen utilization in apple by Guo-Dong Liu, Xiu-Hong An, Lin Rui, Ran-Xin Liu, Hong-Liang Li, Shuai Zhang, Zhen-Lu Zhang, Chun-Xiang You, Xiao-Fei Wang

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High-Efficiency, Low-Power, Fully Integrated Neural Electrical Stimulation Circuit by Yujiao Wang, Jiahao Cheong, Cheng Liu

“…Simulation results show that the high-voltage-generation circuit can generate an output of up to 12.69 V from a 1.65 V low input voltage, with a maximum output current of 1 mA, achieving 74.9% efficiency. The overall efficiency of the neural stimulation circuit, including the high-voltage-generation circuit, output driver circuit and constant-current source, reaches 74% under the voltage-controlled stimulation (VCS) mode and 59.5% under the current-controlled stimulation (CCS) mode, whereas the standby static power consumption is as low as 66 pW.…”
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Increasing transformation and bioavailability of specifically sorbed P by P-efficient microorganisms (PEM) by BIAN Wu-ying, HE Zhen-li, HUANG Chang-yong

“…The utilizing efficiency (UE) and transformating efficiency of the sorbed phosphorous by PEM were 57.5% and 61.7%, respectively, which were significantly higher than the average soil microorganisms. …”
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Efficiency Analysis of Tracking and Stationary Solar Panel Modes Against Solar Radiation by Samaulah H., Basir Y., Helmi M., Faturrizky F., Sugawara A.

“…The utilization of solar energy sources is done by using photovoltaic (solar panels). …”
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The impact of top management team tenure heterogeneity on innovation efficiency of declining firms. by Xunjiang Huang, Qilin Gao, Deng Wang

“…Under the dilemma of resources reduction and recovery, the declining firm pays more attention to the efficient utilization of the diminishing innovation resources. …”
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Automatic plant disease detection using computationally efficient convolutional neural network by Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar

“…Alternatively, automatic approaches utilize 2D plant images processed through machine learning. …”
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PIDE: Photovoltaic integration dynamics and efficiency for autonomous control on power distribution grids by Gökhan Demirel, Natascha Fernengel, Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer

“…For this purpose, this paper introduces the open-source Python-based framework PIDE (Photovoltaic Integration Dynamics and Efficiency), a tool for simulating the integration of distributed energy resources (DER)s and evaluating their impact on autonomous reactive power control in the distribution grid. …”
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Water supply of Zaporizhzhya Priazovye: nascent, stages of development, problems of nowadays and hygienic substantiation of ways of their solutions by Zagorodniuk K.Yu., Omelchuk S.T., Zagorodnyuk Yu.V., Vanat P.M., Nikulin M.I., Grinzovskyy A.M., Chyzhyk O.A.

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Uncertain Parameters Adjustable Two-Stage Robust Optimization of Bulk Carrier Energy System Considering Wave Energy Utilization by Weining Zhang, Chunteng Bao, Jianting Chen

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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

“…Combined with dedicated, uniform processing elements, this enables fast compilation from C source code (1.4 s mean compile time). Demonstrator measurements reveal energy efficiency of up to 601 int32 MIPS/mW at 0.59V and performance of up to 148 MIPS at 0.90 V. …”
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Effects of fresh and fermented olive oil solid waste on nitrogen use efficiency in wheat: A dataset(Mendeley Data). by Abd Al Karim Jaafar, Akram Al-Balkhi, Andrés Rodríguez-Seijo

“…Olive Oil Solid Waste (OSW) is a valuable agricultural by-product that can be used as a source of organic matter and nutrients for crops. …”
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Water source transformation in a semi-arid inland basin: Insights from an isotope-based integrated framework by Jin Sun, Yixuan Wang, Tingxi Liu, Guixin Zhang, Limin Duan, Shaojie Chu, Bo Zhang, Yajun Zhou, Yixuan Zhang, Ting Liu

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