Ensemble programme for early intervention in informal caregivers of psychiatric adult patients: a protocol for a randomised controlled trial by Daniel Wenger, Shyhrete Rexhaj, Shadya Monteiro, Philippe Golay, Claire Coloni-Terrapon, Jérôme Favrod

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Distributed robust planning for new power system considering uncertainty and frequency security by Xinxin Zheng, Dahai Zhang, Zhaohong Bie, Xue Wu

“…The integration of renewable energy into the grid has increased the uncertainty of source load, posing challenges to the frequency safety of the power system. …”
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Screening of a lignin decomposing bacterium and its application in bamboo biomechanical pulping. by Yan Li, Jia Zhang, Juan Li, Ling You, Tao Wang, Zhige Tian, Wenhao Chen

“…Therefore, this is a feasible preparation method. This study provides a new microbial source for lignin degradation.…”
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Biodecaffeination by Pseudomonas pseudoalcaligenes TPS8, an Isolated Strain from Tea Plantation Soil by morahem Ashengroph, Sajad Ababaf

“…Thirteen bacterial strains, isolated from tea plantation soils in the north region of Iran, were screened to show their abilities in using caffeine as the sole source of carbon and nitrogen. The intrinsic tolerance of the isolated strains to the caffeine substrate was measured in a defined and complex medium by using the agar dilution method. …”
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Regenerative Braking in PV-Mounted Electric Vehicle With Reduced Switch VSI-Driven BLDC Motor and HAP-FUP Controller by Ron Carter S. B., Thangavel S.

“…Maximum energy is extracted from the PV module via employment of a particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm, while propulsion is provided through utilization of a brushless direct current (BLDC) motor driven by reduced switch voltage source inverter (VSI). …”
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DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM by Yuanyuan Sun, Ting Zhou

“…Carefully crafted structured prompts are used to align emotion semantics with dataset annotations, combined with Low-Rank Adaptation (LoRA) for parameter-efficient optimization. The method achieves a state-of-the-art weighted F1-score of 68.57% on the MELD benchmark. …”
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The Influence of Activity-Based Costing and Just-in-Time on Efficiency Cost Production with Company Size as a Moderation Variable by Fri Medistya Anke Priyono

“…In competition, an increasingly growing industry, strict efficiency cost production has become important in increasing the Power competitiveness and profitability of companies. The ABC method is used for allocate cost based on actual activity​ consume source power, while JIT focuses on reducing waste and optimization production through management proper stock​ time.  …”
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Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

“…The verification using multi-source data, including formation micro-imaging (FMI) logs, array acoustic logs, and fracturing curves, indicates that the azimuthal statistical method exhibited higher reliability in predicting fracture orientation (coincidence rate: 89 %) and developmental degree (prediction accuracy: 88.5 %). …”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…The experimental results show that the method achieves superior performance in both the new view synthesis task and the 3D reconstruction task, outperforming other classical methods. …”
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Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
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Noise characteristics of semiconductor lasers with narrow linewidth by Hua Wang, Yuxin Lei, Qiang Cui, Siqi Li, Xin Song, Yongyi Chen, Lei Liang, Peng Jia, Cheng Qiu, Yue Song, Yubing Wang, Yiran Hu, Li Qin, Lijun Wang

“…This paper presents noise measurement methods, analyses of the mechanisms for noise suppression, and recent research progress in low-noise semiconductor lasers, focusing on material optimization, structural design, and feedback control. …”
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Fractal Analysis of Air Pollution Time Series in Urban Areas in Astana, Republic of Kazakhstan by Andrii Biloshchytskyi, Alexandr Neftissov, Oleksandr Kuchanskyi, Yurii Andrashko, Svitlana Biloshchytska, Aidos Mukhatayev, Ilyas Kazambayev

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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

“…Most of these methods showed a significant reduction in the estimation errors after the optimization, with respect to the default settings. …”
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Robust Classification of UWB NLOS/LOS Using Combined FCE and XGBoost Algorithms by Shoude Wang, Nur Syazreen Ahmad

“…Experimental results on an open-source dataset covering seven scenarios show average accuracy, precision, recall, and F1 score of 93.2%, 94.8%, 90.3%, and 92.5%, respectively, highlighting the method&#x2019;s superior performance and robustness in diverse environments.…”
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Analysis of Cogging Torque Ripple Based on Multiple Square-Wave Radial Superposition MMF for Wound-Field Synchronous Motors by Tingting Hou, Jiakuan Xia, Jin Chen, Meijun Qi

“…First, based on the energy method, the analytical expression of cogging torque ripple under the square wave MMF is derived, and the source and weakening method of cogging torque ripple are clarified. …”
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Maximum Energy Absorbed from the Persian Gulf Waves Considering Uncertainty in Power Take off Parameters by Mohammad Jalali, Reihaneh Kardehi Moghaddam, Naser Pariz

“…Compared to particle swarm optimization and conventional black hole algorithm, the results of the proposed method indicate enhancements in reference velocity tracking and absorbed power. …”
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Preparation, Structural Characterization and Antioxidant Activity of Carboxylated Chitosan-Pectin-based Silver Nanoparticles by Yongjin SUN, Hongjie WANG, Jing HUANG, Yunlong ZHAO, Huiying LIAO, Shuyun LIANG, Jinyuan CAI, Xia LI

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Secure energy outage analysis of UAV swarm-based network. by Tien Hoa Nguyen, Hoang Vu Tran

“…The first method prioritizes maximizing the communication link quality between the source and the selected UAV, while the second method focuses on minimizing the link quality between the UAV and the eavesdropper. …”
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