Altered brain dynamics in post-stroke cognitive and motor dysfunction by Xiaoying Liu, Guihua Song, Xiaoyun Zhuang, Ying Zhang, Xiaoyang Wang, Yin Qin, Yin Qin

“…Hidden markov model (HMM) was employed for the rs-fMRI data, aiming to identify the repetitive states of brain activity while further assessing the temporal properties and activation patterns in PSCMD. Additionally, the correlation between the HMM state characteristics and clinical scale scores was systematically evaluated.ResultsFive HMM states were ultimately identified. …”
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Road‐Level Charging Gaps and Infrastructure Enhancements in Japan's Electric Vehicle Transition by Xiaoyan Xu, Yoshikuni Yoshida, Jiawei Yong, Shintaro Fukushima, Renhe Jiang, Yin Long

“…To address this challenge, we conduct a spatial evaluation of EV charger accessibility and assess strategies for optimizing network accessibility. …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…By leveraging the distinctive vertical and horizontal patterns found in man-made indoor environments, we propose a streamlined network architecture that incorporates gravity-aligned feature flattening and specialized vision transformers. …”
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Robust Classification of UWB NLOS/LOS Using Combined FCE and XGBoost Algorithms by Shoude Wang, Nur Syazreen Ahmad

“…Preliminary NLOS identification and classification are performed using Fuzzy Comprehensive Evaluation (FCE), with subsequent optimization of FCE weights via the Pattern Search algorithm (PSa). …”
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Adaptive DDoS Attack Detection: Entropy-Based Model With Dynamic Threshold and Suspicious IP Reevaluation by Juri Pebrianto, Vera Suryani

“…DDoS constitutes a significant andger to network security, frequently employing anomalous traffic patterns to impede services. …”
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SPEED (SPlEnic Embolisation Decisions) study-Decision to treat acute traumatic splenic artery injury in the context of trauma protocol. by Paul Jenkins, Jim Zhong, James Harding, Lexy Sorrell, Jason Smith, Victoria Allgar, Carl Roobottom

“…Data will be collected on an anonymised (REDCap) database. This project will evaluate the impact of service design on embolisation rates and outcomes, as well as evaluating the impact of the variation upon treatment selection and outcomes. …”
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Machine learning-guided field site selection for river classification by Zhihao Wang, Gregory Brian Pasternack, Yufang Jin, Costanza Rampini, Serena Alexander, Nikhil Kumar, Rune Storesund, K. Martin Perales, Christopher Lim, Stephanie Moreno, Igor Lacan

“…Sufficient abundance and variety of field site sampling are crucial for obtaining an accurate reach-scale river classification of a regional stream network in support of scientific research and river management. …”
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Associating walkability features with pedestrian activity in a central Athens neighborhood. by Yannis PARASKEVOPOULOS, Stefanos TSIGDINOS, Maria ANDRAKAKOU ANDRAKAKOU

“…In addition, they appear to have strong positive correlation with local network centrality (space syntax), sidewalk width and functional density. …”
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Studying the Role of Vegetarianism as a Potential Strategy for Cancer Prevention and Treatment, a Bibliometric Analysis by Maria Chrysafi, Maria Gialeli, Constantinos Giaginis, Andreas Y. Troumbis, Georgios K. Vasios

“…Author keywords, their co-occurrence network, and thematic trends were studied. Conclusions: Through synthesizing and critically evaluating insights from the scientific literature, we aim to contribute to the understanding of the potential benefits of vegetarianism in cancer prevention and management. …”
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O2O Recycling Closed-Loop Supply Chain Modeling Based on Classification Process considering Environmental Index by Shidi Miao, Di Liu, Junfeng Ma

“…It is premised on the double lines of online service platform and offline recycling service system, thus forming a pattern of online disposal and offline trading. This mode is capable of integrating upstream and downstream resources on the network platform, creating a recycling and processing mode for the entire industry chain of waste sorting, and developing a circular development mode featuring “resources-products-waste-renewable resources” to realize the recycling of resources. …”
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Synthesis and Characterization of Chemically Cross-Linked Acrylic Acid/Gelatin Hydrogels: Effect of pH and Composition on Swelling and Drug Release by Syed Majid Hanif Bukhari, Samiullah Khan, Muhammad Rehanullah, Nazar Mohammad Ranjha

“…The prepared samples were evaluated for porosity and sol-gel fraction analysis. …”
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Machine learning based disruption prediction using long short-term memory in KSTAR by Jeongwon Lee, Jayhyun Kim, Jinsu Kim, Sang-hee Hahn, Hyunsun Han, Giwook Shin, Yong-Su Na, Yong Un Nam

“…The model employs a long short-term memory (LSTM) network to capture temporal patterns in zero-dimensional plasma signals. …”
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Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over by Narcisa Jianu, Narcisa Jianu, Narcisa Jianu, Valentina Oana Buda, Valentina Oana Buda, Denisa Căpățână, Călin Muntean, Teodor Nicolae Onea, Maria Anastasia Jivulescu, Ana Teodor, Ana Teodor, Mirabela Romanescu, Mirabela Romanescu, Lucreția Udrescu, Lucreția Udrescu, Vlad Groza, Mihai Udrescu, Alina Ramona Buzatu, Cristina Adriana Dehelean, Cristina Adriana Dehelean, Minodora Andor, Minodora Andor

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Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models by Muhammad Waqas, Usa Wannasingha Humphries

“…Global warming has intensified the hydrological cycle, increased the frequency and severity of extreme precipitation events, and necessitated the collection of accurate future precipitation data for effective disaster mitigation and informed decision-making. The research evaluates the performance of artificial intelligence (AI)-driven downscaling techniques (Dynamic Neural Network with Memory (DyNN-Mem) and Hybrid Long Short-Term Memory Convolutional Neural Network (LSTM-CNN)) for scaling down CMIP6 Global Climate Models (GCMs) daily precipitation outputs across Thailand. …”
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Urban streams as focal points of urban regeneration: The area of Konstantinidis stream in Toumba, Thessaloniki by Kastanidou Symela, Katsavounidou Garyfallia

“…Based on an overall evaluation of the problems of the area and considering also the residents’ suggestions for its improvement, an integrated regeneration proposal was designed with the scope of integrating the stream area and providing opportunities for multiple uses and activities in the proposed green and public spaces network.…”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…MABEC-Net integrates multi-scale feature extraction, which enables the model to analyze both fine-grained local textures and broader environmental patterns. Spatial and channel attention mechanisms are incorporated to dynamically adjust feature importance, allowing the model to focus on key visual information while minimizing noise.In addition to the network architecture, we propose the Adaptive Environmental Training Strategy (AETS), a robust training framework designed to improve model generalization across diverse environmental datasets. …”
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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

“…This study utilizes air pollution data from the Continuous Monitoring Center of the Ministry of Environment, Urbanization, and Climate Change in Turkey to predict various pollutants using three advanced deep learning approaches: LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), and RNN (Recurrent Neural Network). Missing data in the dataset were imputed using the K-Nearest Neighbor (K-NN) algorithm to ensure data completeness. …”
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Regional differences and distributional dynamic evolution of science and technology innovation driven green development efficiency in Chinese agriculture by Lingling Wang, Min Li, Panpan Zhang

“…This study assesses the spatiotemporal efficiency of ASTI in promoting green agricultural development across 30 Chinese provinces, aiming to uncover persistent regional disparities and dynamic evolution patterns.MethodsConstructing an evaluation model and indicator system for science, technology and innovation driven green development in agriculture, applying the network Slack-Based Measure (SBM) model to measure the level of efficiency, and analyzing regional differences and dynamic features through the Theil index, kernel density estimation and spatial Markov methods.Results and discussionThis study explores the regional differences and distributional dynamic evolution of the efficiency of Agricultural science and technology innovation (ASTI) driven green development in China. …”
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A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province by Shiquan Deng, Ting Bai, Zhe Chen, Yepei Chen

“…Traditional machine learning methods such as Extreme Learning Machines (ELMs), BackPropagation Neural Networks (BPNNs), and Support Vector Machines (SVMs) are also used to evaluate model performance. …”
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Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

“…Convolutional Neural Networks (CNNs) perform well in image classification and pattern identification, although they are prone to overfitting. …”
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