Evaluating a Hybrid LLM Q-Learning/DQN Framework for Adaptive Obstacle Avoidance in Embedded Robotics by Rihem Farkh, Ghislain Oudinet, Thibaut Deleruyelle

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Modifying exercise and physical therapy in medical rehabilitation to promote a physically active lifestyle: Protocol for a multicenter controlled hybrid type 2 effectiveness-implem... by Eva Grüne, Johannes Carl, Wolfgang Geidl, Johanna Popp, David Victor Fiedler, Natalie Boss, Regina Brinkmann, Juliane von dem Bussche, Gabi Eichner, Kathrin Kleinert, Christoph Löhr, Florian Mex, Paul Schwanitz von Keitz, Till Richter, Joachim Schmidt, Rainer Tischendorf, Gorden Sudeck, Klaus Pfeifer

“…Abstract Introduction Since rehabilitation programs often do not enhance long-term physical activity in persons with a health condition, there is a great need to arrange rehabilitation concepts towards a stronger emphasis on sustainable physical activity promotion. In this regard, the model of physical activity-related health competence (PAHCO) offers the potential for optimizing physical activity promotion. …”
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A Multi-Time Scale Scheduling Model for Power Generation Systems with a High Proportion of New Energy Including Pumped Storage Power Stations by GU Huijie, ZHOU Huafeng, PENG Chaoyi, HU Yaping, ZHAO Xinyi, XIE Jun, SHI Xionghua

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An experimental case on dual mode coupling energy management strategy for islanded AC/DC hybrid microgrid by Bin Wei, Yifan Liu, Jiahao Duan

“…A two-stage stochastic predictive control (SPC) dispatch model is carried out for economic operation in economic mode. …”
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Comparative analysis of the effectiveness of BPG, AGU, AVIF and HEIF compression methods for medical images corrupted by noise of two types by Viktoriia Naumenko, Volodymyr Lukin, Vitalii Naumenko, Nadiia Kozhemiakina, Mykyta Solodovnyk

“…The scientific novelty of the obtained results includes: 1) The consideration of noise models and parameter levels typical for medical imaging, namely, additive Gaussian noise of such intensity that it approximately corresponds to just noticeable differences, and signal-dependent Poisson noise; 2) The analysis of the multi-scale structural similarity index (MS-SSIM), which has not been previously explored in studies on lossy compression of noisy medical images; 3) A detailed examination of AVIF and HEIF coders to determine whether the optimal operating point (OOP) is observed for them and under which noise conditions; 4) The use of a dataset comprising ten medical images of varying visual complexity, with generalized tendencies revealed for different structural types; 5) The identification of the ability of many metrics to exhibit an OOP for images of moderate visual complexity or those dominated by homogeneous areas; 6) For Poisson noise, the demonstration of a dependence between the quality factor Q in the OOP and the average image intensity, which can be practically estimated for a given image; 7) The finding that different encoders require different approaches to determine their respective OOPs due to their distinct compression control parameters; 8) The observation that compression ratios achieved at the OOP are generally high, supporting the feasibility of using the OOP or its neighbourhood in practice.…”
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A Hybrid EV Charging Approach Based on MILP and a Genetic Algorithm by Syed Abdullah Al Nahid, Junjian Qi

“…The proposed method includes (1) a centralized day-ahead optimal scheduling mechanism and EV shifting process based on mixed-integer linear programming (MILP) and (2) a distributed control strategy based on a genetic algorithm (GA) that dynamically adjusts the charging rate in real-time grid scenarios. …”
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Factors associated with pregnant women’s willingness to receive maternal pertussis vaccination in Guizhou Province, China: An exploratory cross-sectional study by Feng Jiang, Xingui Ye, Ying Wang, Ning Tang, Jun Feng, Yuanxue Gao, Meiling Bao

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Investigation into the prognostic factors of early recurrence and progression in previously untreated diffuse large B-cell lymphoma and a statistical prediction model for POD12 by Ke Lian, Wenyao Zhu, Zhihui Hu, Fang Su, CaiXia Xu, Hui Wang

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Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound by Muhammad Latif, Hira Ambreen, Tang Diyin, Farrukh Hassan, Muhammad Imran, Saddam Hussain Abbasi, Muhammad Imran

“…The use of time-weighted Gramians allowed for the application of this groundbreaking technique to time-sensitive systems in the real world, such as wind turbines. The optimization of models utilizing vast simulation data is what makes our methodology better than current methods. …”
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Impact of Blade Ice Coverage on Wind Turbine Power Generation Efficiency: A Combined CFD and Wind Tunnel Study by Yang Ji, Jinxiao Wang, Haiming Wen, Chenyang Liu, Yang Liu, Dayong Zhang

“…This study investigates aerodynamic degradation and power loss mechanisms in iced wind turbine blades using a hybrid methodology integrating high-fidelity CFD simulations (ANSYS Fluent, FENSAP-ICE, STAR-CCM+ with SST k-ω turbulence model and shallow-water icing theory) with controlled wind tunnel experiments (10–15 m/s). …”
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Progressive Cluster-Guided Knowledge Distillation for Remote Sensing Image Scene Classification by Zhaopeng Deng, Zheng Zhou, Haoran Zhao, Xiaolin Chen, Danfeng Hong, Xin Sun

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Long-term water quality dynamics and trend assessment reveal the effectiveness of ecological compensation: Insights from China’s first cross-provincial compensation watershed by Haitao Chen, Chengcheng Wang, Qiuru Ren, Xia Liu, Jiaxue Ren, Gelin Kang, Yuqiu Wang

“…In addition, water quality variations under different climate conditions reveal the diversity of potential pollution sources, while extreme precipitation events potentially increasing TN, CODMn, and TP concentrations. Overall, the WRTDS model effectively evaluates the watershed EC programmes, identifies long-term water quality trends and potential sources, and offers valuable insights for optimizing pollution control strategies.…”
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(C3N2H5)B3O3F2(OH)2: Realizing Large Birefringence via a Synergistic Effect between Anion F/OH‐Ratio Optimization and Cation Activation by Chenhui Hu, Chunjie Shen, Huan Zhou, Jian Han, Zhihua Yang, Kenneth R. Poeppelmeier, Feng Zhang, Shilie Pan

“…Controlling the ratio between F and OH is the key to realizing a balanced performance between birefringence and bandgap. …”
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Distributionally Robust Operation for Flexible Distribution Networks Considering Multi-correlation of Renewable Power Generation by Zhiwei LIU, Yue MA, Zhicheng SHA, Yunshu SHAO, Yuanfang NIU, Xiaoming DONG, Chengfu WANG

“…Firstly, aiming to minimize active power loss and voltage deviation in the distribution network, an optimal power flow model for flexible distribution networks is derived and constructed, incorporating various coordinated control measures for sources, grids and loads. …”
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Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Cost-sensitive threshold optimization prioritized clinical sensitivity ( $$C_{FN}=15$$ , $$C_{FP}=3$$ ). …”
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Carbon emission effects of land use change in Nanchang, West of Central China Region by Shuai Fu, Bingxian Xu, Yuxin Peng, Ciyi Huangxiong, Xiuxiang Li

“…The adjustment and optimization of energy consumption structure and the improvement of human-land policies in Nanchang from the perspectives of optimizing land use layout and structure, rationally controlling population size, and advocating low-carbon lifestyle are conducive to the construction of ecological civilization and sustainable development of Nanchang.…”
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Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring... by Yixuan Qiu, Zhongya Fan, Huiyun Feng, Yutao Wang, Dan Li, Wencai Wang, Ruting Huang, Jingang Jiang

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Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulpMend... by Andrés F. Bahamón-Monje, Paola A. García-Rincón, Gentil A. Collazos-Escobar, Claudia M. Amorocho-Cruz, Nelson Gutiérrez-Guzmán

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A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis by Xun Dou, Yu He

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Impact of farmer training on potato yield: a case of smallholder potato farmers in Malawi by Ednah Kangogo, David Jakinda Otieno, Julius Okello, Obed Mwenye, Eliya Kapalasa

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