Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Findings revealed a 37% increase in interdisciplinary project outcomes (measured by collaborative problem-solving scores, cross-domain knowledge integration ratings, and peer evaluation metrics) when AIGC tools were strategically implemented, with significant variations in effectiveness based on implementation approach. …”
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Integration of item response theory in the development of PhET-based graphing lines worksheets for optimizing student algebra competence by Giyanti, Indri Lestari, Rina Oktaviyanthi

“… This study develops and evaluates a graphing line worksheet based on PhET Interactive Simulation integrated with Item Response Theory (IRT) methods to enhance student algebra competence. …”
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Performance and Adaptability Testing of Machine Learning Models for Power Transmission Network Fault Diagnosis With Renewable Energy Sources Integration by Rachna Vaish, Umakant Dhar Dwivedi

“…The integrated solar-based RES has been modeled incorporating standard temperature and irradiance variations. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…However, when processing surface electromyography data, current deep learning models still face challenges, such as insufficient effective feature extraction, poor performance in multi-gesture recognition, and low accuracy in recognizing sparse surface electromyography.MethodsTo address these issues, this study proposed a multi-stream adaptive convolutional neural networks with residual modules (MSACNN-RM) for surface electromyography gesture recognition, which integrates multiple streams of convolutional neural networks, adaptive convolutional neural networks, and residual modules to enhance the model’s feature extraction and learning capabilities. …”
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Industrial Era Islamic Education Revolution 4.0: Strategy for Optimizing ICT Integration in Curriculum Education Study Programs by Hamdan, Rusdiana, Tarwilah, Suraijiah, Rusdiah, M. Ramli

“…Using a mixed-methods approach, the research explores the effectiveness and challenges of ICT integration in enhancing pedagogical practices, student learning outcomes, and institutional strategies. …”
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Integration of fuzzy logic and geographic weighted regression modeling for enhanced groundwater potential mapping using remote sensing and GIS by Junguang Gao, Amnah A. Alasgah, Imran Ahmad, Faten Nahas, Mithas Ahmad Dar, Martina Zelenakova, Milashu Sisay, Getanew Sewnet Zewdu

“…Fuzzy logic addresses uncertainties through membership functions, while GWR captures spatial variations via localized regression coefficients. Utilizing conditioned data sets of geological factors, land cover, and topographic indices, the proposed method produced high-accuracy groundwater potential maps validated through metrics, such as local R 2 values and Moran’s Index. …”
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Epithelial and immune transcriptomic characteristics and possible regulatory mechanisms in asthma exacerbation: insights from integrated studies by Ye Liu, Yue Li, Ruhao Wu, Yu Wang, Pengfei Li, Tianci Jiang, Ke Wang, Yize Liu, Zhe Cheng

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Dynamic evolution characteristics and influencing mechanisms of groundwater in the Zoige Plateau by Yong Liu, An-bang Huang, Hao Liu, Bo Peng, Xin Zhang, Qinqin HUANG

“…The most significant declines occurred in grassland zones, driven by wetland degradation and elevated evapotranspiration, while mountain regions showed slower losses (~0.1 cm/a) primarily supported by sustained snowmelt recharge. Through the integration of multi-source datasets, this study highlights the spatial heterogeneity and key drivers of groundwater variation, providing a robust framework for sustainable groundwater management under climatic and anthropogenic pressures in alpine wetland systems.…”
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Integrated transcriptome and metabolome analyses reveal the differentially expressed metabolites and genes involved in lipid in olive fruits by Jipeng Qu, Zhou Xu, Zhengsong Peng, Zhenyong Chen, Tao Chen, Chunbang Ding

“…The molecular mechanisms underlying lipid variations in different olive cultivars remain unclear. …”
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Integrative Genomic and Functional Approaches Identify FUOM as a Key Driver and Therapeutic Target in Cervical Cancer by Wenzhi Jiao, Shanshan Liu, Jianwei Shi, Minmin Yu

“…Objective This study integrates Mendelian randomization (MR) and single‐cell RNA sequencing (scRNA‐seq) to identify causal eQTL‐related genes and explore their roles in tumorigenesis. …”
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Integrated geophysical investigation of flooding within the campus of Federal College of Education (Technical), Omoku and its environs by Agada Idoko, Johnson C. Ibuot, Moses M.M. Ekpa

“…This study investigates flooding within the campus of the Federal College of Education (Technical), Omoku, and its environs using integrated geophysical methods. Geo-electric resistivity (VES) and Electrical Resistivity Tomography (ERT) were employed to characterize subsurface properties that influence water retention, drainage, and flooding susceptibility. …”
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Integration of whole genome resequencing and transcriptome sequencing to identify candidate genes for tall and short traits in Baicheng Fatty chickens by Jiaqi Li, Kaixu Chen, Mengting Zhu, Jingdong Bi, Honggang Tang, Weiyi Gao

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Research progress on shale gas productivity evaluation: concepts, methods and future directions by ZHU Suyang, PENG Zhen, DI Yunting, PENG Xiaolong, LIU Dongchen, GUAN Wenjie

“…To identify the challenges of current shale gas productivity evaluation approaches and explore feasible solutions, this study analyzed the unique connotation of shale gas productivity and reviewed recent progress in three approaches: (1) Analytical solution methods of flow equations; (2) numerical simulation methods of flow equations; and (3) artificial intelligence (AI)-based methods. …”
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Initial Study of Column-Integrated Aerosol Optical Properties over Birkat al Mouz, Sultanate of Oman by Baiju Dayanandan, Nirmal Krishna, Ajay Parottil, Vinoj Velu, Ahmed Al Harrasi, Binisia Sanatan, Pawan Gupta, Tom Eck, Alexander Smirnov, Humaid AlBadi

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Innovative Lightweight Detection for Airborne Remote Sensing: Integrating G-Shuffle and Dynamic Multiscale Pyramid Networks by Ruofei Liang, Yigang Cen, Linna Zhang, Fugui Zhang, Yansen Huang, Fei Gan

“…These results indicate superior performance across multiple metrics compared to existing state-of-the-art methods, proving the method's potential and practicality for airborne remote sensing object detection.…”
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Racial Differences in the Use of Adjuvant Chemotherapy for Breast Cancer in a Large Urban Integrated Health System by Michael S. Simon, Lois Lamerato, Richard Krajenta, Jason C. Booza, Julie J. Ruterbusch, Sara Kunz, Kendra Schwartz

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Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters by Farzaneh Bagheri, Jakson Bonaldo, Naki Guler, Marco Rivera, Patrick Wheeler, Rogerio Lima

“…Further performance enhancement is achieved by integrating a classical MPPT strategy to the control framework to make it feasible for a real-case grid integration. …”
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Unveiling Novel Protein Biomarkers for Psoriasis Through Integrated Analysis of Human Plasma Proteomics and Mendelian Randomization by Mao R, Zhang T, Yang Z, Li J

“…A protein scoring system was created using the Cox proportional hazards model, and cumulative risk curves were generated to analyze psoriasis incidence variations.Results: Our study pinpointed 62 proteins significantly linked to the risk of developing psoriasis. …”
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