Multi-Scenario Stochastic Optimal Scheduling for Power Systems With Source-Load Matching Based on Pseudo-Inverse Laguerre Polynomials by Jiahao Ye, Lirong Xie, Lan Ma, Yifan Bian, Chuanshi Cui

“…Finally, considering wind-photovoltaic output fluctuations, the degree of source-load matching, wind-photovoltaic utilization, and system economic efficiency factors, with the objective of maximizing the tracking of the load curve and minimizing system economic costs, a stochastic optimized scheduling model for power systems is established. …”
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Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand by Guangmei Yang, Guangdong Wang, Leping Wan, Xinle Wang, Yan He

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Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine by Zelong Chi, Hong Chen, Sheng Chang, Zhao-Liang Li, Lingling Ma, Tongle Hu, Kaipeng Xu, Zhenjie Zhao

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An open-source interactive AI framework for assisting automatic literature review in forensic medicine: Focus on brain injury mechanisms. by Ya-Wen Liu, Dong-Hua Zou, He-Wen Dong, Yuan-Yuan Liu, En-Hao Fu, Zhi-Ling Tian, Ning-Guo Liu

“…<h4>Background and objective</h4>Systematic reviews and meta-analyses are critical in forensic medicine; however, these processes are labor-intensive and time-consuming. ASReview, an open-source machine learning framework, has demonstrated potential to improve the efficiency and transparency of systematic reviews in other disciplines. …”
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A Proof-of-Concept Open-Source Platform for Neural Signal Modulation and Its Applications in IoT and Cyber-Physical Systems by Arfan Ghani

“…The presented digital platform serves as a valuable educational tool, enabling researchers to engage in hands-on learning and experimentation with IoT technologies and system-level hardware–software integration at the device level. By utilizing open-source tools, this research demonstrates a cost-effective approach, fostering innovation and bridging the gap between theoretical knowledge and practical application. …”
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Robust Optimal Operation Method for Active Distribution Networks with Multiple Types of Regulation Resources Considering Source and Load Uncertainties by R. Ding, L. Cheng, X. Wang, Y. Yao, H. Xu, E. Zhao

“…Thirdly, the proposed model is linearized and reformulated as a convex optimization problem utilizing second-order cone relaxation techniques, and a relaxed cooperative co-evolution algorithm is im¬plemented to solve it efficiently. …”
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Predicting software reuse using machine learning techniques-A case study on open-source Java software systems. by Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim, Yuen Yee Yen

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Leukoreduction filter derived NK cells offer a promising source for off the shelf CAR NK cell immunotherapy by Ali Moazzeni, Maryam Kheirandish, Gholamreza Khamisipour, Fatemeh Rahbarizadeh, Ali Akbar Pourfathollah

“…This study provides the rationale and feasibility of utilizing LRF-NK cells as a safe, high-yield, accessible, and optimal cost-effective source for cancer immunotherapy.…”
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Design and evaluation of an open-source block face imaging system for 2D histology to magnetic resonance image registration by Mingzhen Shao, Amanpreet Singh, Sara Johnson, Alissa Pessin, Robb Merrill, Ariana Page, Henrik Odéen, Sarang Joshi, Allison Payne

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Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images by Dan Song, Guanzheng Wang, Guangfeng Liu, Chengxia Zhang, Bin Lv, Yuan Ni, Guotong Xie

“…Additionally, the study validates the efficiency of deep learning algorithms in measuring choroidal thickness, thereby enhancing the reliability of clinical practice.…”
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Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems by Saad A. Mohamed Abdelwahab, Hossam Eldin Khairy, Hossam Yousef, Samia Abdafatah, Moayed Mohamed

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Effects of activated carbon source on soil nitrogen content in three land use types in middle Guizhou, China, and the underlying mechanisms by Zhiwei Qiao, Shihua Qin, Ru Yan, Chao Liu, Yi Hu, Mingfeng Li

“…These results provide theoretical and empirical support for understanding the impact and mechanisms of exogenous activated carbon on soil nitrogen content in Middle Guizhou, China, thereby offering insights and strategies for efficient nitrogen utilization in this region. Graphical abstract…”
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Short-Chain Fatty Acid Utilization in <i>Cyberlindnera jadinii</i> for Single-Cell Protein and Odd-Chain Fatty Acid Production by Christian Hermansen, Rowanne Siao, Gi Gi Chua, Mikko Ru Xuan Lee, Aaron Thong, Melanie Weingarten, Nic Lindley, Eric Charles Peterson

“…In view of the growing global need for sustainable protein sources, this study explores the utilization of short-chain fatty acids into single-cell protein using the non-conventional yeast <i>Cyberlindnera jadinii</i>. …”
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Corn‐fermented protein as a replacement for fish meal in diets for Atlantic salmon, Salmo salar, parr: Growth, feed utilization, antioxidant activity, non‐specific immune response,... by Jeongwhui Hong, Jose G. Ortiz, Brian C. Small

“…Abstract Fishmeal (FM) is still believed to be the gold standard protein source, especially for high‐value aquaculture species such as salmon. …”
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Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems by JIANG Minghua, LI Ding, KONG Dezhen, WANG Zhuxiu, BAI Ningning, LI Zhongwen

“…While ensuring the secure operation of the system， this approach also considers economic efficiency and frequency regulation performance， thus providing theoretical support for the design and optimization of the energy-sending-end system.…”
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Research on the Method of Artificial Intelligence for Identifying Urban Land-Use Types Based on Areas of Interest (AOI) and Multi-Source Data by Miaoyi Li, Ningrui Zhu

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Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response by Yong Cui, Jian Zheng, Wenying Wu, Kun Xu, Desen Ji, Tian Di

“…Meanwhile, considering the marginal contribution of each load-side node to the system carbon emissions, a combined Shapley–Topsis low-carbon demand hierarchical response mechanism is designed to guide load nodes in implementing accurate low-carbon hierarchical responses, thereby ensuring the optimal allocation and efficient utilization of system resources. Finally, based on the proposed framework, promising future research perspectives are proposed to provide critical insights for constructing a low-carbon and reliable new energy system.…”
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Advancements in multi-omics research to address challenges in Alzheimer’s disease: a systems biology approach utilizing molecular biomarkers and innovative strategies by Madison Cardillo, Madison Cardillo, Keyura Katam, Keyura Katam, Prashanth Suravajhala, Prashanth Suravajhala

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A Study on CO₂ Emission Reduction Strategies of Coal-Fired Power Plants Based on CCUS-ECBM Source-Sink Matching by Huawei Yang, Pan Zhang, Chenxing Zhang, Peiwen Zhang, Xiaoyan Jia

“…In order to reduce CO₂ emissions from industrial processes, countries have commenced the vigorous development of CCUS (carbon capture, utilization and storage) technology. The high geographical overlap between China’s extensive coal mining regions and CO₂-emitting industrial parks provides an opportunity for the more efficient reduction in CO₂ emissions through the development of Enhanced Coal Bed Methane (ECBM) Recovery for use with CCUS technology. …”
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Traditional and complementary medicine for promoting healthy ageing in WHO Western Pacific Region: Policy implications from utilization patterns and current evidence by Vincent C.H. Chung, Charlene H.L. Wong, Claire C.W. Zhong, Yan Yin Tjioe, Ting Hung Leung, Sian M. Griffiths

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