Degraded Impairment of Emotion Recognition in Parkinson’s Disease Extends from Negative to Positive Emotions by Chia-Yao Lin, Yi-Min Tien, Jong-Tsun Huang, Chon-Haw Tsai, Li-Chuan Hsu

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CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic force microscope by Antoine Allard, Maxime Liboz, Raphaël Crépin, Sid Labdi, Olek Maciejak, Michel Malo, Clément Campillo, Guillaume Lamour

“…Although existing software tools, both open-source and from AFM manufacturers, can analyze cells individually, there is a growing need for fast and accessible codes to compile data from multiple cells into a single dataset. To address this, we present CellMAP, a user-friendly software tool that streamlines the batch-processing of AFM-derived topography and stiffness maps of living cells. …”
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Blink Detection Using 3D Convolutional Neural Architectures and Analysis of Accumulated Frame Predictions by George Nousias, Konstantinos K. Delibasis, Georgios Labiris

“…The start and end frame of each blink in the dataset has been annotate by specialized ophthalmologist. …”
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Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming by Yanan Bo, Yanqi Wang, Zhong Wan

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Landscape Image Layout Optimization Extraction Simulation of 3D Pastoral Complex under Big Data Analysis by Juan Du, Yuelin Long

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Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

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Single-cell chromatin accessibility landscape profiling reveals the diversity of epigenetic regulation in the rat nervous system by Peiyao Ma, Shanshan Duan, Wen Ma, Qiuting Deng, Yeya Yu, Peng Gao, Yue Yuan, Chuanyu Liu

“…Here, we generated a chromatin accessibility dataset through single-cell ATAC-seq of 174,593 high-quality nuclei from 16 adult rat brain regions. …”
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Phase-dependent Hanbury-Brown and Twiss effect for the complete measurement of the complex coherence function by Xuan Tang, Yunxiao Zhang, Xueshi Guo, Liang Cui, Xiaoying Li, Z. Y. Ou

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Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models by Alireza Sharifi, Mohammad Mahdi Safari

“…The model's performance was evaluated on the Sentinel-2 dataset, along with benchmark datasets (AID and UC-Merced), and compared against state-of-the-art methods, including ResNet, Swin Transformer, and ViT. …”
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Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop-Level Case Study by Samuel de França Marques, Cira Souza Pitombo, J. Jaime Gómez-Hernández

“…The main contributions are as follows: by accounting for the spatial heterogeneity of the predictor dataset, the GWPCA can identify the most important factor affecting transit ridership even in bus stops with no information on boarding and alighting; the spatial modeling of stop-level ridership data using GWPCA components as explanatory variables allows visualizing the spatially varying effects from predictors on ridership, supporting the land use planning at a local level; GWPCA coupled with kriging simultaneously addresses the multicollinearity of predictor data, its spatial heterogeneity, and the spatial dependence of the stop-level ridership variable, thus enhancing the goodness-of-fit measures of the transit ridership prediction in unsampled stops; and a balanced sample on predictor data and well-spread in the geographic space might be preferred to accurately estimate missing stop-level ridership data. …”
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Development of Microneedle Patch Loaded with Bacopa monnieri Solid Lipid Nanoparticles for the Effective Management of Parkinson’s Disease by Delna Joy, Jobin Jose, Shabana Bibi, Akshay Bandiwadekar, Gopika Gopan, Clara Mariana Gonçalves Lima, Talha Bin Emran, Fahad A. Alhumaydhi, Harsha Ashtekar, Sandeep D. S, Carlos Adam Conte-Junior

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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm by Van Quan Tran

“…The best performance and reliable single ML model for predicting the permeability coefficient of soil for the testing dataset is the gradient boosting (GB) model, which has R2 = 0.971, RMSE = 0.199 × 10−11 m/s, MAE = 0.161 × 10−11 m/s, and MAPE = 0.185%. …”
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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

“…Our best model outperformed existing methods when benchmarked on an independent dataset of 498 anti-E. coli peptides. Additionally, we screened anti-E. coli proteins in the proteomes of three probiotic bacterial strains and created a web-based platform, “EIPpred”, enabling users to design peptides with desired MIC values ( https://webs.iiitd.edu.in/raghava/eippred ).…”
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Predictive Control for Steel Rib Bending Based on Deep Learning by Yijiang Xia, Jinhui Luo, Zhuolin Ou, Xin Han, Junlin Deng, Ning Wu

“…Experimental validation using real-world datasets collected from a shipyard’s CNC cold bending machine demonstrates that the T-CNN model significantly reduces the number of steps required for each bending operation, achieving a 75% reduction in production time and substantially enhancing processing efficiency. …”
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Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features by Weidong Song, Guohui Jia, Hong Zhu, Di Jia, Lin Gao

“…We train and evaluate the CrackSeg net on our CrackDataset, the experimental results prove that the CrackSeg achieves high performance with a precision of 98.00%, recall of 97.85%, F-score of 97.92%, and a mIoU of 73.53%. …”
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Analytical Study on Inherent Properties of a Unidirectional Vibrating Steel Strip Partially Immersed in Fluid by J. Li, X.H. Guo, J. Luo, H.Y. Li, Y.Q. Wang

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Towards AI-Based Traffic Counting System with Edge Computing by Duc-Liem Dinh, Hong-Nam Nguyen, Huy-Tan Thai, Kim-Hung Le

“…First, a vehicle detection dataset (VDD) representing traffic conditions in Vietnam was created. …”
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An Exploration of Gene-Gene Interactions and Their Effects on Hypertension by Ying Meng, Susan Groth, Jill R. Quinn, John Bisognano, Tong Tong Wu

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SED-YOLO based multi-scale attention for small object detection in remote sensing by Xiaotan Wei, Zhensong Li, Yutong Wang

“…Experimental results demonstrate that this improved network achieves an mean Average Precision (mAP) of 71.6% on the DOTA dataset, surpassing the original YOLOv5s by 2.4%, effectively improving the accuracy of small object detection.…”
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Temporal Changes in Phosphatidylserine Expression and Glucose Metabolism after Myocardial Infarction: An in Vivo Imaging Study in Mice by Sebastian Lehner, Andrei Todica, Stefan Brunner, Christopher Uebleis, Hao Wang, Carmen Wängler, Nadja Herbach, Tanja Herrler, Guido Böning, Rüdiger Paul Laubender, Paul Cumming, Ralf Schirrmacher, Wolfgang Franz, Marcus Hacker

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