A Machine Learning Framework for Urban Ventilation Corridor Identification Using LBM and Morphological Indices by Bu Yu, Peng Xie

“…Urban ventilation corridors play a critical role in improving wind environments, mitigating the urban heat island (UHI) effect, and enhancing urban climate resilience. …”
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Ride-Sharing Determinants: Spatial and Spatio-Temporal Bayesian Analysis for Chicago Service in 2022 by Mohamed Elkhouly, Taqwa Alhadidi

“…We investigate various explanatory variables, including demographic, socio-economic, transportation, and land-use features. The Bayesian models adjust for random and structured errors to account for spatial correlations. …”
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Design and optimization of a spiral separator for enhanced chromite recovery and sustainability by Navid Hosseini Alaee, Jafar Sargheyni, Mehdi Pezeshkan, Pooria Kianoush

“…The innovative design of the spiral separator incorporates unique geometric features that enhance particle stratification, leading to significant improvements in operational performance. …”
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Evaluation of Protective Effects of Aqueous Extract of S. Maydis on Liver Cytoarchitecture of Wistar Rats Induced with Carbonated Herbal Alcoholic Beverages (Orijin Bitters) by A. Agbortai, G. I. Eze, S. B. Olukayode, S. O. Innih

“…However, treatment with graded doses of AESM effectively attenuated these histopathological features, with higher doses demonstrating more pronounced protective effects. …”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…Accurate and timely air quality forecasting is crucial for mitigating pollution-related hazards and protecting public health. …”
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Streptococcus pyogenes in Neonates and Postpartum Women: First Report on Prevalence, Resistance, emm Typing, and Risk Factors in Khyber Pakhtunkhwa by BASIT ABDUL, HUSSAIN MUBBASHIR, QASIM MUHAMMAD, KHAN TAJ ALI, NAVEED HASSAN, REH-MAN ABDUL, SHAH MIAN MUFARIH, FATIMA MADIHA, ALZAHRANI KHALID J., ALSHARIF KHALAF F.

“…The emm typing was performed through PCR and sequencing. Clinical features and risk factors were analyzed statistically. …”
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Dual attention mechanisms with patch-level significance embedding for ischemic stroke classification in brain CT images by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Nithin Raj, J. Pooja, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

“…The study highlights the importance of features obtained from dense layers in mitigating overfitting and improving generalization. …”
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

“…Multi-scale fNIRS features are extracted, and a sparse Bayesian extreme learning machine classifies the fused deep learning features.ResultsExperiments utilized two MI-fNIRS datasets from eight stroke patients pre- and post-rehabilitation. …”
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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

“…Specifically, HRUMamba adopts a pre-trained HRNet as the encoder for capturing fine-grained local features and incorporates a modified scaled visual state space (SVSS) block in the decoder to model long-range dependencies effectively. …”
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Gardenia-derived extracellular vesicles exert therapeutic effects on dopaminergic neuron apoptosis-mediated Parkinson’s disease by Wen Chen, Haobo Wang, Xiang Ye, Xingkai Hao, Fujie Yan, Jian Wu, Danyang Li, Yan Wang, Lizhou Xu

“…This study investigated the value of GDEVs in Parkinson’s disease (PD) using rotenone (Rot)-induced Parkinsonism models in dopaminergic PC12 neuron cells and Caenorhabditis elegans. PD features apoptosis in dopaminergic neurons, while GDEVs alleviate PD by mitigating mitochondrial-mediated apoptosis. …”
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Histopathological Analysis of Lipopolysaccharide-Induced Liver Inflammation and Thrombus Formation in Mice: The Protective Effects of Aspirin by Hayate Saitoh, Miina Sakaguchi, Fumito Miruno, Naoto Muramatsu, Nozomi Ito, Kanako Tadokoro, Kiyoharu Kawakami, Kazuhiko Nakadate

“…In this study, we aimed to elucidate the histopathological features of lipopolysaccharide-induced hepatitis in mice, focusing on tissue alterations. …”
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Multi-Point Optical Flow Cable Force Measurement Method Based on Euler Motion Magnification by Jinzhi Wu, Bingyi Yan, Yu Xue, Jie Qin, Deqing You, Guojun Sun

“…The proposed method combines phase-based magnification with an optical flow method to enhance small displacement features and improve SNR (signal-to-noise ratio) in cable displacement tracking. …”
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A Mobile Triaxial Stabilized Ship-Borne Radiometric System for In Situ Measurements: Case Study of Sentinel-3 OLCI Validation in Highly Turbid Waters by Haoran Jiang, Peng Zhang, Hong Guan, Yongchao Zhao

“…The system employs a triaxial stabilized gimbal to maintain the orientation of three spectrometers, effectively mitigating angular deviations. The system also features automatic azimuth adjustment to maintain the relative sun-sensor azimuth angle within the optimal range of 90° ≤ <i>φ</i> ≤ 135° and supports long-range wireless telemetry for autonomous real-time monitoring. …”
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Mortality risk in patients with myasthenia gravis by Mohamed Khateb, Mohamed Khateb, Shahar Shelly, Shahar Shelly, Shahar Shelly

“…Real-life data is limited primarily due to challenges in selecting control groups and mitigating bias. Additionally, a revised mortality assessment should be conducted due to recent advancements in Myasthenia Gravis treatments over the past decade, including new biological therapies and the impact of the COVID-19 pandemic from 2020 to 2023.MethodsWe conducted a retrospective analysis of all patients diagnosed with Myasthenia Gravis at our tertiary center between 2000 and 2023, extracting mortality and clinical features compared to two age- and sex-matched control groups of neurological or rheumatologic patients.ResultsWe identified 436 Myasthenic patients and 2,616 controls (1308 in each control group). …”
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Automatic dependent surveillance-broadcast (ADS-B) anomalous messages and attack type detection: deep learning-based architecture by Waqas Ahmed, Ammar Masood, Jawad Manzoor, Sedat Akleylek

“…The findings offer valuable insights into ADS-B security and define essential requirements for a future security framework, contributing actionable recommendations for mitigating threats in this critical communication protocol.…”
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A step forward in enhancing the health-promoting properties of whole tomato as a functional food to lower the impact of non-communicable diseases by Pier Giorgio Natali, Pier Giorgio Natali, Mauro Piantelli, Alessandra Sottini, Margherita Eufemi, Cristina Banfi, Luisa Imberti

“…Although WTFS may be susceptible to further improvements and clinical scrutiny, its composition embodies the features of advanced functional foods to ease adherence to dietary patterns, that is, the Mediterranean diet, aimed at contrasting and mitigating the low-grade inflammation, thus being interceptive or preventive of non-communicable diseases.…”
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Demutiplexing of Nyquist-OTDM Signal Based on Temporal Magnification Aided Optical Sampling With Enhanced Performance by Lei Yue, Deming Kong, Yan Li, Jian Wu

“…., coherent matched sampling) without temporal magnification, the proposed scheme features a better performance with pulsewidths greater than 6 ps. …”
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BDSER-InceptionNet: A Novel Method for Near-Infrared Spectroscopy Model Transfer Based on Deep Learning and Balanced Distribution Adaptation by Jianghai Chen, Jie Ling, Nana Lei, Lingqiao Li

“…Specifically, data distribution shifts and mismatches in multi-scale features hinder the transferability of models across different crop varieties or instruments from different manufacturers. …”
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AUHF-DETR: A Lightweight Transformer with Spatial Attention and Wavelet Convolution for Embedded UAV Small Object Detection by Hengyu Guo, Qunyong Wu, Yuhang Wang

“…In the encoder, we introduce a BDFPN for multi-scale feature fusion, effectively mitigating the small-object detection difficulties caused by the baseline’s Hungarian assignment. …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…The wavelet decomposition module effectively captures multi-scale information by breaking it down into frequency sub-bands, thereby the mitigating detail loss often associated with standard downsampling methods. …”
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