Modeling urban land density with Gaussian and inverse S functions by analyzing urban expansion in Zhengzhou City by Hongfei Gao, Xuning Qiao, Yongju Yang, Liang Liu, Jinyuan Zhang, Huimin Zhou, Qianxi Zheng

“…However, the Gaussian model offers a more detailed understanding of urban expansion due to its multi-dimensional parameter settings. (2) In determining urban boundaries and zoning, the Gaussian model is more convenient, reflecting wave-like diffusion patterns that better match actual urban growth trends. (3) In terms of expansion direction, the urban compactness index reveals spatial heterogeneity. …”
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Supervised and unsupervised deep learning-based approaches for studying DNA replication spatiotemporal dynamics by Julian Ng-Kee-Kwong, Ben Philps, Fiona N. C. Smith, Aleksandra Sobieska, Naiming Chen, Constance Alabert, Hakan Bilen, Sara C. B. Buonomo

“…Abstract In eukaryotic cells, DNA replication is organised both spatially and temporally, as evidenced by the stage-specific spatial distribution of replication foci in the nucleus. …”
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Application of Advanced Multi-Parameter Monitoring in Concrete Structure Defect Detection: Integrating Thermal Integrity Profiling and Strain Analysis by Linhai Lu, Xin Zhang, Xiaojun Li, Yanyun Lu

“…This study investigated the spatial distribution and variation patterns of concrete temperature–strain during the different stages of hydration. …”
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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. …”
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At the Intersection of Flood Risk and Social Vulnerability: A Case Study of New Orleans, Louisiana, USA by Stefanie Garcia-Rosabel, Dorcas Idowu, Wendy Zhou

“…This research also explores the spatial patterns of socially vulnerable neighborhoods at the census tract level and patterns that have changed over the two decades. …”
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Phylogeography of recently emerged DENV-2 in southern Viet Nam. by Maia A Rabaa, Vu Thi Ty Hang, Bridget Wills, Jeremy Farrar, Cameron P Simmons, Edward C Holmes

“…However, the processes that shape DENV transmission patterns at the scale of local populations are not well understood, particularly the impact of such factors as human population movement and urbanization. …”
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Spatio-Temporal AI Modeling for Urban Traffic Calibration: A SUMO-Based Approach by Pablo Manglano-Redondo, Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona

“…The GATv2 layers, enhanced with residual connections and batch normalization, extract robust spatial embeddings, while the LSTM aggregates these embeddings over time to capture dynamic patterns and predict future traffic flows in real-time. …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…CNNs discover patterns in data, LSTM identifies long-term dependencies and sequential patterns and Bi-LSTM identifies complex temporal relations within the data. …”
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Challenges and Security Risks in the Red Sea: Impact of Houthi Attacks on Maritime Traffic by Emilio Rodriguez-Diaz, J. I. Alcaide, R. Garcia-Llave

“…It explores the correlation between regional instability, exemplified by Houthi actions from 19 November 2023 to 5 February 2024, and changes in maritime traffic patterns and operational efficiency. This study seeks to answer a critical question in transport geography: how does regional instability, exemplified by Houthi insurgent activities, affect the maritime traffic patterns and operational efficiency of the Red Sea and Suez Canal? …”
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Comparative analysis of time-based and quadrat sampling in seasonal population dynamics of intermediate hosts of human schistosomes. by Javier Perez-Saez, Théophile Mande, Dramane Zongo, Andrea Rinaldo

“…Both protocols yielded similar seasonal patterns in snail abundance, confirming the asynchrony between permanent and ephemeral habitats with respect to the country's seasonal rainfall patterns. …”
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Spatiotemporal Variation and the Role of Wildlife in Seasonal Water Quality Declines in the Chobe River, Botswana. by J Tyler Fox, Kathleen A Alexander

“…In contrast to the dry season, wet season bacterial water quality patterns were associated only with TSS (p<0.0001), suggesting storm water and sediment runoff significantly influence E. coli loads. …”
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A multi-year analysis of acoustic occurrence and habitat use of blue and fin whales in eastern and central Fram Strait. by Marlene Meister, Elena Schall, Robert Dziak, Stefanie Spiesecke, Karolin Thomisch

“…Climate change-induced habitat alterations in the Arctic Ocean are expected to affect spatial and temporal occurrence patterns of seasonally migrating baleen whale species, leading to poleward range shifts and prolonged stays in Arctic waters. …”
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Identification of neural crest and glial enhancers at the mouse Sox10 locus through transgenesis in zebrafish. by Anthony Antonellis, Jimmy L Huynh, Shih-Queen Lee-Lin, Ryan M Vinton, Gabriel Renaud, Stacie K Loftus, Gene Elliot, Tyra G Wolfsberg, Eric D Green, Andrew S McCallion, William J Pavan

“…We were able to partially explain neural crest expression patterns by the presence of head to head SoxE family binding sites within two of the elements. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…As an unsupervised study, it reveals patterns and trends without predefined labels or categories. …”
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Prevalence of Cysticercus bovis and Sarcocystis spp. infection in slaughtered animals in Khorramabad abattoir from 2012 to 2021 by Azadeh Rashidimehr, Hassan Nayebzadeh, Zahra Amini Farsani, Majid Hatami Nia

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Pore‐Scale Coupling of Flow, Biofilm Growth, and Nutrient Transport: A Microcontinuum Approach by Malik A. Dawi, Michele Starnoni, Giovanni Porta, Xavier Sanchez‐Vila

“…We introduce a dimensionless number, termed Dt, defined as the ratio between hydrodynamic and biomass cohesion forces, which provides a bulk characterization of the biomass‐flow system, and allows to assess biofilm morphology and growth patterns. We then discuss results in relation to available experimental data, where estimated Dt values are in line with specific biofilm growth patterns, ranging from boundary‐layer appearance Dt>1 to bulky shapes Dt<1.…”
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Variation in Community Structure and Abundance of Fish in Simple Structured Shallow Sandy Habitats by Lari Veneranta, Mats Westerbom

“…Changes in abundance and community structure were mainly driven by the variation of only five species reflecting species‐specific recruitment patterns and different spatial responses to abiotic variables. …”
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Efficient Real-Time Pathfinding for Visually Impaired Individuals by Tadeh Ghahremanians, Hossein Mahvash Mohammadi

“…Traditional methods usually focus on the detection of specific patterns or objects, requiring custom algorithms for each object of interest. …”
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Groundwater head responses to droughts across Germany by P. Ebeling, A. Musolff, R. Kumar, A. Hartmann, J. H. Fleckenstein, J. H. Fleckenstein

“…We characterized and clustered groundwater head responses, quantified response timescales, and linked the identified patterns to spatial controls such as land cover and topography using machine learning. …”
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Decoding words during sentence production with ECoG reveals syntactic role encoding and structure-dependent temporal dynamics by Adam M. Morgan, Orrin Devinsky, Werner K. Doyle, Patricia Dugan, Daniel Friedman, Adeen Flinker

“…We trained machine learning classifiers to identify the unique brain activity patterns for each word during picture naming, and used these patterns to decode which words patients were processing while they produced sentences. …”
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