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

“…Objective: This study aims to investigate age- and gender-related changes in CT and its components through deep learning analysis of swept-source optical coherence tomography (SS-OCT) images. …”
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Enhancing the Efficiency and Schedule of Solar Thermal Power Plants by Utilizing Thermal Storage Devices to Minimize Carbon Emissions by Lingeswaran P., Yadav Shailendra Kumar, Ganesh Babu L., Magesh Babu D., Karuppannan Anand, Iftekhar Hussain Beporam, Nanthakumar S.

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ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design by Vikash Kumar, Behnaz Ranjbar, Akash Kumar

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Modelling and Simulation for a Versatile Controllable Power Supply Configuration Appropriate for Magnetically Impelled Arc Butt (MIAB) Welding by G. C. Ganesha, M. Chaturvedi, S. Arungalai Vendan, S. Theodore Chandra

“…This article presents the design and development of a power source for industrial applications, focusing on improving energy efficiency, control, and reliability. …”
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Two-stage power system restoration model by Hong Yang, Zhen Tang, Wei Wang, Zhihang Xue

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Power Quality in the Context of Aircraft Operational Safety by Tomasz Tokarski, Sławomir Michalak, Barbara Kaczmarek, Mariusz Zieja, Tomasz Polus

“…The article presents the use of ground power sources for aircraft ground support. Both military and civil aircraft (A/C) require high-performance and reliable Ground Power Units (GPUs) to ensure safe operation in diverse environmental conditions. …”
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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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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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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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Development of an Integrating Sphere-Based Wide-Range Light Source System for the Linearity Evaluation of a Photodetector Used in Radiation Detection and Bioanalysis Instruments by Tetsuro Matsumoto, Akihiko Masuda, Minoru Tanabe, Seiya Manabe, Hideki Harano, Kazuki Niwa

“…This system utilizes two integrating spheres equipped with a continuously variable slit and output aperture to modulate a stabilized light-emitting diode light source, producing an output light range as wide as seven orders of magnitude. …”
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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

“…First， for active frequency support in a heterogeneous multi-source sending-end base， a coupled model of system parameters and security indicators was developed for parameter optimization. …”
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A space-time least-squares support vector regression scheme for inverse source problem of the time-fractional wave equation by A. Mohammadi, A. Tari Marzabad

“…The introduced algorithm utilizes a space-time Galerkin type of least-squares support vector regression to approximate the unknown source in a finitedimensional space, providing a stable and efficient solution. …”
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Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

“…The results indicate that combining machine learning and multi-source data fusion provides a highly accurate, efficient, and straightforward method for landslide prediction in the high and steep slopes of open-pit mines.…”
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Conversion of an FDM printer to direct ink write 3D bioprinter utilizing an efficient and cost-effective extrusion system by Y.  H. Dang, Elise Dauzat, Asif Istiak, Kevin Jackson, Victoria Songe, Luke West, Md Imrul Kayes, Md Saiful Islam, Tanvir R. Faisal

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Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model by Degao Wang, Zhangyu Sun, Xinxia Huang, Mingzhong Liu, Qingqing Zheng, Huailiang Zhang, Guanghe Zhang

“…With the advancements in remote sensing technology, remote sensing images offer distinct advantages such as extensive coverage, timely data acquisition and high spatial resolution, making them highly suitable for accurately and efficiently identifying PWN disease areas. This article introduces a deep learning approach for the identification of PWN disease areas using multi-temporal and multi-source remote sensing images. …”
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Extraction of Cropland Based on Multi-Source Remote Sensing and an Improved Version of the Deep Learning-Based Segment Anything Model (SAM) by Kunjian Tao, He Li, Chong Huang, Qingsheng Liu, Junyan Zhang, Ruoqi Du

“…Remote sensing technology, due to its large-scale and multi-dimensional characteristics, can effectively enhance the efficiency of collecting information on agricultural land parcels. …”
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Effect of Ultrasonic Assisted Extraction with Ethanol for Removing Lipid on Catfish (Pangasius sp.) Skin as a Collagen Source and Its Characteristics by Maulida Agustina, Patmawati Patmawati, Shofy Mubarok, Laksmi Sulmartiwi, Diah Anggraini Wulandari, Khadijah Zai, Raseetha Siva, Dwi Yuli Pujiastuti, Dwitha Nirmala, Money Carattri Kusuma Werdani, Oemar Moechthar, Mohamad Akmal Alwi Husein

“…The result exhibited that UAE-ethanol treatment was capable of removing up to 85.6% of lipid content, and the produced collagen had the potential to be utilized as an alternative source of collagen based on its properties. …”
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Towards sustainable energy futures: multi-objective policy framework for integrating high penetration of renewable energy sources into energy systems by Farnam Dehghani, Mohammad Agha Shafiyi

“…As the demand for cleaner energy increases, innovative approaches are essential to enhance the efficiency and flexibility of energy systems. This paper proposes advanced techniques to increase system flexibility and cut costs, including the economic complementarity of renewable energy sources, sector coupling, and clean technologies such as green desalination, power-to-gas (P2G), and heat recovery solutions. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

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