Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. The training process incorporates a hybrid loss function that combines supervised contrastive (SC) learning and cross-entropy (CE) loss to enhance feature discrimination. …”
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In vivo imaging and pharmacokinetics of percutaneously injected ultrasound and X-ray imageable thermosensitive hydrogel loaded with doxorubicin versus free drug in swine. by Jose F Delgado, Ayele H Negussie, Nicole A Varble, Andrew S Mikhail, Antonio Arrichiello, Tabea Borde, Laetitia Saccenti, Ivane Bakhutashvili, Joshua W Owen, Robert Morhard, John W Karanian, William F Pritchard, Bradford J Wood

“…Dual modality POL imaging enabled analysis of patterns of gel distribution and morphology, alongside of pharmacokinetics of local delivery. …”
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HTSA-LSTM: Leveraging Driving Habits for Enhanced Long-Term Urban Traffic Trajectory Prediction by Yiying Wei, Xiangyu Zeng, Xirui Chen, Hui Zhang, Zhengan Yang, Zhicheng Li

“…This paper proposes a Habit-based Temporal–Spatial Attention Long Short-Term Memory (HTSA-LSTM) network, a novel framework that integrates a dual spatiotemporal attention mechanism to capture dynamic dependencies across time and space, coupled with a driving style analysis module. …”
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Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR by Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam

“…Wildfires in the United States have increased in frequency and severity over recent decades, driven by climate change, altered weather patterns, and accumulated flammable materials. Accurately forecasting the Fire Weather Index (FWI) is crucial for mitigating wildfire risks and protecting ecosystems, human health, and infrastructure. …”
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Driving factors and management strategies for water quality improvement in Fuxian Lake, China: A case study on ecological restoration and sustainable management of plateau lakes by Huimei Wang, Nuruol Syuhadaa Mohd

“…By using a mixed-methods approach that integrates 34-year monitoring data (1990–2024) with principal component analysis (PCA), Statistical trend analyses (Mann-Kendall test with Sen’s slope), combined with geospatial visualization (GIS, kriging interpolation), Correlation networks (Pearson) and constrained ordination (Redundancy Analysis, RDA), we quantified the temporal-spatial dynamics of water quality parameters (TN, TP, COD), pinpointed dominant pollution pathways, and evaluated the cumulative efficacy of policy interventions versus climatic drivers. …”
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Estimation the validity of remote sensed rainfall data over selected regions in Iraq by Zahraa Al-Montaser

“…Existing rain gauge networks lack the temporal and geographical coverage required for adequate monitoring. …”
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Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau by Ruijie Lu, Shulin Liu, Hanchen Duan, Wenping Kang, Ying Zhi

“…For regional desertification control and sustainable development, it is critical to quickly and accurately understand the distribution pattern and spatial and temporal changes of deserts. …”
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A novel multi-modal rehabilitation monitoring over human motion intention recognition by Saleha Kamal, Saleha Kamal, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…This paper presents a novel multi-modal framework that integrates RGB and depth data to extract high-resolution spatial-temporal and anatomical features for accurate HMIR. …”
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Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau by Gesi Tang, Yulong Bao, Changqing Sun, Mei Yong, Byambakhuu Gantumur, Rentsenduger Boldbayar, Yuhai Bao

“…Thus, it is important to evaluate temporal and spatial changes in WUE over a prolonged period. …”
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Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach by Waqar Khan, Muhammad Usama, Muhammad Shahbaz Khan, Oumaima Saidani, Hussam Al Hamadi, Noha Alnazzawi, Mohammed S. Alshehri, Jawad Ahmad

“…This hybrid approach captures spatial, temporal, and contextual patterns in network traffic, improving detection accuracy against botnets, denial-of-service (DoS) attacks, and reconnaissance threats.Results and discussionTo validate the proposed framework, we employ the Kitsune and 5G-NIDD datasets, which provide intrusion detection scenarios relevant to IoT-based and non-IP traffic environments. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…The CNN and LSTM models, applied independently, leverage their respective strengths to extract spatial and temporal features from network traffic, achieving robust classification accuracy. …”
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The formation of the Bicoid morphogen gradient requires protein movement from anteriorly localized mRNA. by Shawn C Little, Gašper Tkačik, Thomas B Kneeland, Eric F Wieschaus, Thomas Gregor

“…The Bicoid morphogen gradient directs the patterning of cell fates along the anterior-posterior axis of the syncytial Drosophila embryo and serves as a paradigm of morphogen-mediated patterning. …”
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Global, regional, and national burden of heart failure and its underlying causes, 1990–2021: results from the global burden of disease study 2021 by Jun Ran, Ping Zhou, Jinxi Wang, Xuemei Zhao, Yan Huang, Qiong Zhou, Mei Zhai, Yuhui Zhang

“…This study aims to systematically analyze the global HF disease burden from 1990 to 2021 across temporal, spatial, and demographic dimensions to provide evidence for targeted prevention and control strategies. …”
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Nitrate contamination in deep aquifers: Health risks and spatiotemporal analysis in an arid region of the Algerian Sahara by Amor Bencheikh, Imad Eddine Bouznad, Rabah Zebsa, Omar Ramzi Ziouch, Zinette Bensakhri, Mohamed-Salah Belksier, Djamal Bengusmia, Enrico Guastaldi

“…The temporal pattern of annual average nitrate concentration during 2014–2022 showed a significant increase with a slope of 1.04 mg/L year−1. …”
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Generation and characterization of a tamoxifen-inducible lineage tracing tool Cd2-P2A-CreERT2 knock-in mice by Yang Guo, Mengyan Zhu, Zhilan Yu, Qing Li, Yanjuan Chen, Lei Ci, Ruilin Sun, Ruling Shen

“…The Cre-loxp recombination system is widely used to activate or inactivate genes with high spatial and temporal specificity.MethodsUsing the CRISPR/Cas9 system, we inserted the CreERT2 transgene expression cassette into the Cd2 gene locus to generate conditional Cre-driver line Cd2-CreERT2 knock-in mice, which drove the expression of CreERT2 by the endogenous Cd2 promoter. …”
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The Interannual Variability of Global Burned Area Is Mostly Explained by Climatic Drivers by Andrina Gincheva, Juli G. Pausas, Miguel Ángel Torres‐Vázquez, Joaquín Bedia, Sergio M. Vicente‐Serrano, John T. Abatzoglou, Josep A. Sánchez‐Espigares, Emilio Chuvieco, Sonia Jerez, Antonello Provenzale, Ricardo M. Trigo, Marco Turco

“…Our results reveal complex spatial patterns in the dependence of BA variability on antecedent and concurrent weather conditions, highlighting where BA is mostly influenced by either FWI or SPEI and where the combined effect of both indicators must be considered. …”
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The roles of surface processes in porphyry copper deposit preservation by B. Hadler Boggiani, T. Salles, C. Mallard, N. Atwood

“…To highlight the influence of paleo-reconstructions on exhumation rate estimates, we analyze simulated erosion rates across the Andean region using two distinct paleo-climate models and find significant spatial and temporal differences across the Central Andes. …”
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Spatiotemporal Determinants of Urban Leptospirosis Transmission: Four-Year Prospective Cohort Study of Slum Residents in Brazil. by José E Hagan, Paula Moraga, Federico Costa, Nicolas Capian, Guilherme S Ribeiro, Elsio A Wunder, Ridalva D M Felzemburgh, Renato B Reis, Nivison Nery, Francisco S Santana, Deborah Fraga, Balbino L Dos Santos, Andréia C Santos, Adriano Queiroz, Wagner Tassinari, Marilia S Carvalho, Mitermayer G Reis, Peter J Diggle, Albert I Ko

“…Although infection risk varied between years, the spatial distribution of risk associated with fixed and random effects did not vary temporally. …”
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Integrating plot-based methods for monitoring biodiversity in island habitats under the scope of BIODIVERSA + project BioMonI: Tree monitoring in Terceira, Tenerife and Réunion Isl... by Paulo Borges, Leila Morgado, Rosalina Gabriel, Rui Elias, Mirana Gauche, Claudine Ah-Peng, Rüdiger Otto, Lea de Nascimento, Dominique Strasberg, Nathaly Guerrero-Ramírez, Holger Kreft, José María Fernández-Palacios

“…These standardised data collections within permanent plots allow for consistent, replicable observations across temporal and spatial scales. Initiatives like the Global Island Monitoring Scheme (GIMS) highlight the value of permanent plots in capturing ecological gradients and anthropogenic disturbance patterns. …”
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Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach by Ali Vaziri, Pardis Sadatian Moghaddam, Mehrdad Shoeibi, Masoud Kaveh

“…To enhance SEE, we introduce a hybrid deep-learning (DL) framework that integrates convolutional neural networks (CNN) and long short-term memory (LSTM) networks for joint EE and security optimization. The CNN extracts spatial features, while the LSTM captures temporal dependencies, enabling a more robust and adaptive modeling of dynamic IoT communication patterns. …”
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