Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

“…[Methods] To address the presence of anomalies in the GHI data， raw data were first cleaned and preprocessed to eliminate outliers and ensure data quality. …”
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Metaweb approaches for understanding complex ecological interactions: A review by Sagar Adhurya, Young-Seuk Park

“…We highlight future directions, emphasising expanding geographical coverage, enhancing interaction data collection, integrating conservation, and improving trait-based approaches through latent trait analysis. …”
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Improved YOLO-Based Pulmonary Nodule Detection with Spatial-SE Attention and an Aspect Ratio Penalty by Xinhang Song, Haoran Xie, Tianding Gao, Nuo Cheng, Jianping Gou

“…Yet, they frequently overlook spatial context and struggle to capture subtle variations in aspect ratios, which hinders their ability to detect small objects. …”
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PolyAttractNet: Graph-Based Polygonal Segmentation of Building Footprints Using Attraction Field Maps by M. Kamran, M. Moein Sheikholeslami, G. Sohn

“…One of the key challenges in utilizing satellite imagery is the automated reconstruction of building footprints, which demands high precision to account for variations in architectural styles. Traditional methods rely on manual or semi-automated approaches, which are often time-consuming and prone to inaccuracies. …”
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Study on the Impact of Input Parameters on Seawater Dissolved Oxygen Prediction Models by Wenqing Li, Jing Lv, Yuhang Wang, Xiangfeng Kong

“…In response to the lack of exploration on the optimization mechanism of input parameters in existing DO prediction studies, this study, based on observational data from the Goji Island marine ranching, constructed a technical framework of “parameter screening—model optimization—ecological analysis”. By integrating correlation analysis, principal component analysis (PCA), and multi-model comparison (SVM, MLP, and RF) methods, this study systematically revealed the input parameter optimization strategies and its ecological correlation mechanism. …”
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Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models by Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib

“…Early detection is crucial, particularly for younger women, as traditional screening methods like mammography often struggle with accuracy in cases of dense breast tissue. …”
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Dual-laser powder bed fusion using 450 nm diode area melting and 1064 nm galvo-scanning fiber laser sources by H. Caglar, A. Aydin, I.T. Gulenc, K. Groom, K. Mumtaz

“…This study introduces an innovative dual laser powder bed fusion (PBF-LB/D) system, which combines two distinct laser processing methods to enhance control over microstructural outcomes. …”
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CSSA-YOLO: Cross-Scale Spatiotemporal Attention Network for Fine-Grained Behavior Recognition in Classroom Environments by Liuchen Zhou, Xiangpeng Liu, Xiqiang Guan, Yuhua Cheng

“…However, challenges such as lighting variations, occlusions, and diverse behaviors complicate sensor-based behavior analysis. …”
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Molecular epidemiology and genomic features of Bordetella pertussis in Tianjin, China, 2023 by Xiaohui Lu, Wen Li, Xuan Chen, Wei Zhang, Aiping Yu, Guangwen Liu, Baolu Zheng, Xin Gao, Yamin Liu, Xiaoyan Li

“…Abstract Background Pertussis, a highly contagious respiratory disease caused by Bordetella pertussis (BP), poses challenges due to genomic variation that may contribute to its persistence in vaccinated populations and the development of antimicrobial resistance. …”
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TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection by Jiayuan Li, Zhen Wang, Nan Xu, Chuanlei Zhang

“…However, the deeper underlying issue lies in how to effectively align and integrate local detail features with global semantic information. …”
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Microglial clock dysfunction during neuroinflammation impairs oligodendrocyte progenitor cell recruitment and disrupts neuroimmune homeostasis by Qingqing Lu, Qingqing Lu, Jin Young Kim, Jin Young Kim

“…Although time-of-day–dependent variation in microglial immune activity has been reported, how intrinsic microglial clocks respond to neuroinflammatory stimuli and influence microglial function remains unclear.MethodsWe induced neuroinflammation via intraperitoneal injection of lipopolysaccharide (LPS) and isolated microglia from control and LPS-treated mouse brains. …”
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Evolution and driving mechanisms of eco-environmental quality across different urbanization stages by Zhenfang He, Qingchun Guo, Zhaoxin Yin, XinPing Luo, Miaomiao Sun

“…The Geographical Detector, integrating natural, socio-economic, and nighttime light data, was used to analyze the driving factors and their interactions. …”
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The role of TNF signaling pathway in post-stroke cognitive impairment: a systematic review by Ren Fanzhou, Luo Yuding, Liu Pingchuan, Xiong Hai, Liu Xu, Wang Jian

“…These findings highlight the need for integrated clinical and basic research to strengthen the foundation for early diagnosis, prevention, and treatment of PSCI, and to guide evidence-based clinical decisions.…”
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Material Technologies for Improved Diabetic Foot Ulcer (DFU) Treatment: A Questionnaire Study of Healthcare Professionals’ Needs by Marian Gabriela Vargas Guerrero, Lieve Vonken, Erwin Peters, Jimmy Lucchesi, Jacobus J. C. Arts

“…The respondents also highlighted the importance of a holistic approach to DFU management, integrating product development with comprehensive care strategies and patient education. …”
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Specific gut microbiota and serum metabolite changes in patients with osteoarthritis by Wendong Wang, Xincheng Liu, Hao Nan, Huan Li, Litao Yan

“…Fecal and blood samples were collected for 16S rRNA gene sequencing, metabolomic analysis via liquid chromatography–mass spectrometry (LC-MS), and integrated evaluation.ResultsThe results showed no significant variation in gut microbiota richness and diversity between the two groups. …”
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Dynamic Response Prediction of Railway Bridges Considering Train Load Duration Using the Deep LSTM Network by Sui Tan, Xiandong Ke, Zhenhao Pang, Jianxiao Mao

“…Traditionally, finite element analysis methods with high computational burden are used to predict the train-induced responses according to the given train loads and, hence, cannot easily be integrated as an available structural-health-monitoring strategy. …”
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Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology by Huiya Xing, Xiangyi Li, Min Liu, Yicong Zhong

“…It offers a distinct method of improving cultural tourism by combining Virtual Reality (VR), Genetic Algorithm (GA), and individual customization. …”
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Identification of cuproptosis-related genes in chronic apical periodontitis based on bulk and single-cell RNA sequencing analyses and experimental validation by Caiyi Zhang, Jie Zhao, Keqing Pan, Lingshuang Liu, Mengyu Jiao, Changqing Yuan, Chunyan Wan

“…A recently identified cell death pathway known as cuproptosis may be linked to this condition.MethodsDifferentially expressed cuproptosis-related genes (DE-CRGs) were identified by integrating human CAP dataset (GSE237398) with health control (HC) dataset (GSE223924) from the Gene Expression Omnibus (GEO) database. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…To address this issue, we propose the high-resolution U-shaped mamba network (HRUMamba), which integrates multiple innovations to enhance segmentation performance under imbalanced conditions. …”
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An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks by Supavee Pourbunthidkul, Narawit Pahaisuk, Popphon Laon, Nongluck Houngkamhang, Pattarapong Phasukkit

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