Adaptive Control for Improved Virtual Synchronous Generator Under Imbalanced Grid Voltage by Yangyang Chen, Wei Han, Youhao Hu, Yilin Zhang

“…As renewable energy continues to grow, more inverter-based distributed generators are being integrated into power grids, in which virtual synchronous generator (VSG) is widely adopted to regulate system voltage and stabilize frequency. …”
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Advances in Optical Metrology: High-Bandwidth Digital Holography for Transparent Objects Analysis by Manoj Kumar, Lavlesh Pensia, Karmjit Kaur, Raj Kumar, Yasuhiro Awatsuji, Osamu Matoba

“…By capturing a multiplexed hologram from two distinct objects in a single shot, the system overcomes the limitations inherent to single-view holography, enabling more comprehensive object information of thickness measurement and temperature-induced refractive index variations. The method integrates double-FOV digital holography with high SBU, allowing for accurate surface profiling and mapping of complex optical path length changes caused by temperature gradients. …”
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Rapid Probabilistic Inundation Mapping Using Local Thresholds and Sentinel-1 SAR Data on Google Earth Engine by Jiayong Liang, Desheng Liu, Lihan Feng, Kangning Huang

“…Moreover, it enables users to refine local thresholds or integrate on-the-ground knowledge, providing enhanced adaptability over traditional methods.…”
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Enhanced Reliability and Self‐Compliance of Synaptic Arrays for Multibit Encoded Neuromorphic Systems by Sungjoon Kim, Hyeonseung Ji, Sungjun Kim, Woo Young Choi

“…The improvements in device structure and encoding method presented in this study enable highly integrated crossbar arrays and efficient neuromorphic systems.…”
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An Improved Optimal Cloud Entropy Extension Cloud Model for the Risk Assessment of Soft Rock Tunnels in Fault Fracture Zones by Shuangqing Ma, Yongli Xie, Junling Qiu, Jinxing Lai, Hao Sun

“…Subjective weights obtained via the analytic hierarchy process (AHP) are combined with objective weights calculated using the entropy, coefficient of variation, and CRITIC methods and subsequently balanced through a game theoretic approach to mitigate bias and reconcile expert judgment with data objectivity. …”
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Improved YOLOv8n Models for Object Detection in Remote Sensing Images by Young-Long Chen, Kai-Chun Hung, Jia-Yun Zhang, Ling-Wei Lin

“…Unlike previous YOLO variants, our method optimizes feature fusion strategies and integrates advanced attention mechanisms specifically tailored for remote sensing images, effectively addressing small-object detection, large-scale variations, and complex backgrounds. …”
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Magnetically adjustable AND/XOR logic gates using Terfenol-D in phononic crystal by Ehsan Mehdizadeh Omrani, Fakhroddin Nazari

“…Each ring resonator integrates three utilized Terfenol-D cylinders that enable modulation of Young’s modulus. …”
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Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy by Wei Yang, Chenglin Liu, Zhenhua Li, Miao Cui

“…In light of this, we propose the hypothesis that genetic variations in specific plasma proteins have a causal relationship with immune-related bone diseases through the MR mechanism, and that key therapeutic targets can be accurately identified using an integrated multi-omic analysis approach. …”
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Pears Internal Quality Inspection Based on X-Ray Imaging and Multi-Criteria Decision Fusion Model by Zeqing Yang, Jiahui Zhang, Zhimeng Li, Ning Hu, Zhengpan Qi

“…Internal defects were identified by analyzing grayscale variations in X-ray images. The proposed method combines manual feature-based classifiers, including Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG), with a deep convolutional neural network (DCNN) model within an MCD-based fusion framework. …”
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Modeling Skin Thermal Behavior with a Cutaneous Calorimeter: Local Parameters of Medical Interest by Pedro Jesús Rodríguez de Rivera, Miriam Rodríguez de Rivera, Fabiola Socorro, Manuel Rodríguez de Rivera

“…During exercise, it allows the determination of heat flux and internal temperature variations using simplified expressions. The system demonstrates high sensitivity (195.5 mV/W) and provides a robust, non-invasive method for extracting medically relevant thermal parameters from a 2 × 2 cm² skin area.…”
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Collaborative Coverage Strategy Using Multiple UAVs-UGVs in CRN Mapping by Agung Nugroho Jati, Bambang Riyanto Trilaksono, Egi Muhammad Idris Hidayat, Widyawardana Adiprawita

“…Multiple Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) are deployed strategically within partitioned regions, determined through weighted Voronoi tessellation. This method integrates both the robots’ internal parameters and environmental factors. …”
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Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
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Small object detection in side-scan sonar images based on SOCA-YOLO and image restoration by Xiaodong Cui, Jiale Zhang, Lingling Zhang, Qunfei Zhang, Jing Han

“…It outperforms the current state-of-the-art object detection method, YOLO11, as well as the original YOLOv9. Specifically, our model surpasses YOLO11 and YOLOv9 by 2.3% and 6.5% in terms of mAP50, respectively. …”
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Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

“…Our proposed neuron model, implemented in fully connected and convolutional layers, achieves over 95% classification accuracy on the MNIST and Fashion MNIST datasets using a modified spike-based backpropagation method. With nanosecond latency, these spiking neuron devices, when integrated with CMOS, pave the way for high-density, energy-efficient neuromorphic computing hardware.…”
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Diatom Frustule-Inspired Bridges: A Fusion of Art, Architecture and Mechanical Design by Mukunda Adhikari, Parvez Alam

“…Our results yield innovative, artistic and efficient bridge architectures optimised for structural integrity and load bearing.…”
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Unveiling Luxury Consumption Intention in Scarcity: The Role of Locus of Control and Economic Mobility Perceptions by Yuejun Liu, Banggang Wu, Xiaoyu Deng

“…This mediation suggests that consumers turn to luxury items not solely due to external constraints, but also as a way to reassert control over their circumstances. By integrating compensatory control theory and considering variations in locus of control and perceived economic mobility, this study provides a nuanced understanding of the psychological mechanisms underpinning luxury consumption in resource-constrained contexts. …”
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Sustainable transition of food consumption in rural China: spatio-temporal patterns and drivers of carbon footprint by Huibo Qi, Huibo Qi, Yeyi Guo, Peng Ji, Fei Long, Fei Long, Jing Zhao, Jing Zhao

“…It quantifies their food consumption carbon footprint (FCCF) using the carbon conversion factor method and analyzes spatio-temporal patterns and drivers by integrating an extended STIRPAT framework with spatial econometric models. …”
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Teaching, assessment and best practice in undergraduate psychiatry education in the UK: cross-sectional survey by Deepika Sharma, Thomas Hewson, Sridevi Sira Mahalingappa, James Fallon, Declan Hyland, Seri Abraham, Alexa Sidwell, Subodh Dave

“…Aims and method We conducted a cross-sectional survey to examine how undergraduate psychiatry is taught and assessed across medical schools in the UK that have at least one cohort of graduated students. …”
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From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account by Tao Shen, Fulu Kong, Shuai Yuan, Xueying Wang, Di Sun, Zongshuo Ren

“…Finally, we proposed a density-based clustering method that integrates the multiscale urban analysis with parameter adaptation to distinguish urban spatial features at different scales, thereby achieving multiscale urban regional delineation. …”
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Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain by Birger Moëll, Fabian Farestam, Jonas Beskow

“…This study emphasizes the critical need for rigorous evaluation frameworks as LLMs become increasingly integrated into clinical workflows, particularly in non-English medical contexts where linguistic and cultural specificity are paramount.…”
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