Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China by Jiarui Qin, Yizhe Feng, Yehua Sheng, Yi Huang, Fengyuan Zhang, Kaixuan Zhang

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When do citizen scientists record biodiversity? Non‐random temporal patterns of recording effort and associated factors by Inês T. Rosário, Patrícia Tiago, Sergio Chozas, César Capinha

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Glacier meltwater has limited contributions to the total runoff in the major rivers draining the Tibetan Plateau by Yi Nan, Fuqiang Tian, Jeffrey McDonnell, Guangheng Ni, Lide Tian, Zongxing Li, Denghua Yan, Xinghui Xia, Ting Wang, Songjun Han, Kunbiao Li

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Provincial distribution of unintended pregnancy and its associated factors in Sierra Leone by Augustus Osborne, Regina Mamidy Yillah, Camilla Bangura, Bright Opoku Ahinkorah

“…Provincial variations in the prevalence of unintended pregnancy was presented using a spatial map. A mixed-effect multilevel binary logistic regression models was fitted to examine the factors associated with unintended pregnancy. …”
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Unveiling the Synergies and Conflicts Between Vegetation Dynamic and Water Resources in China’s Yellow River Basin by Zuqiao Gao, Xiaolei Ju

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Development and validation of 3D super-resolution convolutional neural network for 18F-FDG-PET images by Hiroki Endo, Kenji Hirata, Keiichi Magota, Takaaki Yoshimura, Chietsugu Katoh, Kohsuke Kudo

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Tourism, Economic Development, and Regional Inequality in Portugal: A Data-Driven Approach from 2012 to 2022 by Maria do Rosário Mira, Andreia Antunes Moura, Vânia Costa, Raquel Pereira

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Biomass distribution law of winter wheat in mining-affected area based on UAV remote sensing by Jing WANG, Wenbing GUO, Zhichao CHEN, Erhu BAI

“…The results show that: ① The selected vegetation indices and texture features were significantly correlated with biomass, and the combination of vegetation indices and texture features as input variables achieved the highest estimation accuracy. The SVR model had the highest prediction accuracy. ② Biomass in regions III (414–661 g/m2) and IV (662–822 g/m2) accounted for 66.4% of the total, indicating that most samples concentrated in the middle and high biomass range. …”
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Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

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Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing by Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

“…This article proposes a deep learning method to predict car-sharing demand constructed by a stacked auto-encoder model and a logistic regression layer. …”
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Analysing the urban morphology of Hoi An ancient city, Quang Nam province in sustainable coastal tourism, vision to 2045 by Le Thi Kim Anh, Le Anh Duc, Pham Ngoc Tuan

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Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data by Pablo Reyes-Muñoz, Dávid D.Kovács, Jochem Verrelst

“…We applied Gaussian process regression (GPR) models to upscale TCF products from tower-to-global scale and studied the predictive capacity of climate variables and leaf area index (LAI) across biomes (2004–2023). …”
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Individual bacteria in structured environments rely on phenotypic resistance to phage. by Erin L Attrill, Rory Claydon, Urszula Łapińska, Mario Recker, Sean Meaden, Aidan T Brown, Edze R Westra, Sarah V Harding, Stefano Pagliara

“…This survival strategy is in contrast with the emergence of genetic resistance in the absence of ephemeral refuges in well-mixed environments. Predictions generated via a mathematical modelling framework to track bacterial response to phages reveal that the presence of spatial refuges leads to fundamentally different population dynamics that should be considered in order to predict and manipulate the evolutionary and ecological dynamics of bacteria-phage interactions in naturally structured environments.…”
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Acute stress activates basolateral amygdala neurons expressing corticotropin-releasing hormone receptor type 1 (CRHR1): Topographical distribution and projection-specific activatio... by Robert J. Aukema, Gavin N. Petrie, Samantha L. Baglot, Nicholas W. Gilpin, Matthew N. Hill

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Time-Distributed Vision Transformer Stacked With Transformer for Heart Failure Detection Based on Echocardiography Video by Mgs M. Luthfi Ramadhan, Adyatma W. A. Nugraha Yudha, Muhammad Febrian Rachmadi, Kevin Moses Hanky Jr Tandayu, Lies Dina Liastuti, Wisnu Jatmiko

“…The time-distributed vision transformer learns the spatial feature and then feeds the result to the transformer to learn the temporal feature and make the final prediction afterward. …”
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Defining disease heterogeneity to guide the empirical treatment of febrile illness in resource poor settings. by Lisa J White, Paul N Newton, Richard J Maude, Wirichada Pan-ngum, Jessica R Fried, Mayfong Mayxay, Rapeephan R Maude, Nicholas P J Day

“…<h4>Findings</h4>The model predicted a negative correlation between number of appropriate treatments and the level of spatial heterogeneity. …”
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Distribution of different plant life forms on tropical islands: patterns and underlying mechanisms by Chengfeng Yang, Jingyan Zhao, Shengzhuo Huang, Shurong Zhou, Yikang Cheng

“…The structural equation model (SEM) revealed that island area, isolation, and climatic factors directly affect the richness and abundance of trees but not shrubs. …”
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A Study on the CO2-Enhanced Water Recovery Efficiency and Reservoir Pressure Control Strategies by Zhijie Yang, Tianfu Xu, Fugang Wang, Yujie Diao, Xufeng Li, Xin Ma, Hailong Tian

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Essential service accessibility and contribution to quality of life: a systematic review by Sarah M Wood, Kira Page, Emma Baker, Hannah Beks, Marley J Binder, Marcus Blake, Vincent L Versace, Neil T Coffee

“…This gap hinders a detailed spatial understanding of essential service provision, access, and influence on populations. …”
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Assessing Uneven Regional Development Using Nighttime Light Satellite Data and Machine Learning Methods: Evidence from County-Level Improved HDI in China by Xiping Zhang, Jianbin Xu, Saiying Zhong, Ziheng Wang

“…Subsequently, NTL data are utilized to infer the spatial distribution characteristics of the improved HDI across China’s county-level regions. …”
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