Predicting wildlife corridors for multiple species in an East African ungulate community. by Jason Riggio, Katie Foreman, Ethan Freedman, Becky Gottlieb, David Hendler, Danielle Radomille, Ryan Rodriguez, Thomas Yamashita, John Kioko, Christian Kiffner

“…Our results revealed that species-habitat relationships and subsequent corridors differed across species, but the pattern of predicted landscape connectivity across the study area was similar for all seven species regardless of method (circuit theory or least-cost) and scaling of the habitat suitability-based cost surface (linear or non-linear). …”
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Worldwide Burden of Retinoblastoma from 1990 to 2021 by Yaling Feng, Xiaoyi Feng, Yun Lv

“…The SDI was employed to evaluate the interplay between socioeconomic development and the burden of retinoblastoma. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…Methods In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the GSE30122, GSE30528, and GSE96804  datasets, followed by an evaluation of the immune landscape in DN. …”
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Analyzing the impact of urban growth on urban quality of life in the city of El Eluma: A multidimensional study by Hama Aya, Djeffal Djafar

“…The city is characterized by a pattern of rapid and heterogeneous urban growth, resulting from the interplay between official planning policies and informal on-the-ground practices, leading to a complex urban landscape. …”
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Emotion-Aware Ensemble Learning (EAEL): Revolutionizing Mental Health Diagnosis of Corporate Professionals via Intelligent Integration of Multi-Modal Data Sources and Ensemble Tech... by Gaurav Yadav, Mohammad Ubaidullah Bokhari, Saleh I. Alzahrani, Shadab Alam, Mohammed Shuaib

“…EAEL integrates machine learning and deep learning paradigms to process multimodal data, including facial expression analysis and typing pattern recognition, offering a holistic evaluation of emotional well-being. …”
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Spatio-temporal evolution and coupling relationship between biodiversity and urbanization in the areas along the Yellow River of Shandong province by Yingjun Sun, Wenxue Meng, Fang Wang, Haifeng Han, Mingxin Sui, Zhen Jian

“…First, this study constructed a new indicator system of biodiversity based on remote-sensing data from species, ecosystem, and landscape to monitor and evaluate the spatial heterogeneity. …”
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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

“…This study introduced a combined approach using eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanation (SHAP) to estimate population spatialization at various grid scales and interpret the key influencing factors, then we applied accuracy evaluation metrics and landscape ecology indices to identify the optimal grid scale. …”
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Blue-Green Space Changes of Baiyangdian Wetland in Xiong’an New Area, China by Chunlei Zhao, Shuan Qian, Chengzhen Meng, Yufei Chang, Wenzhe Guo, Sha Wang, Yinglong Sun

“…Moreover, the land-use transfer matrix and landscape pattern indices are applied for evaluating the BGS changes in the wetland. …”
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Leveraging open source land use and land cover data for urban and regional planning in transforming areas by Florian Klopfer, Dietwald Gruehn

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The Heights spatial characteristics of buildings in Tanzania and its impact on spatial urban growth. by Paulo Kitosi, Ramadhani Tekka, David Mwipopo

“…Additionally, a detailed examination of Building Statistics from the 2022 National Census was conducted to identify patterns and implications. The data analysis reveals that single-story buildings dominate the urban landscape of major cities, accounting for an average of 91.3% of all buildings. …”
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UJI Probes Revisited: Deeper Dive Into the Dataset of Wi-Fi Probe Requests by Tomas Bravenec, Joaquin Torres-Sospedra, Michael Gould, Tomas Fryza

“…Furthermore, we demonstrate a range of potential applications for this dataset, including but not limited to presence detection, expanded assessment of temporal received signal strength indicator stability, and evaluation of privacy protection measures. Apart from these, we also include temporal analysis of probe request transmission frequency and period between Wi-Fi scans as well as a peak into possibilities with pattern analysis.…”
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Glasswort as a Strategic Crop in Coastal Wetlands: Intercropping Results with Swiss Chard by Anna Rita Bernadette Cammerino, Michela Ingaramo, Vincenzo Rizzi, Maurizio Gioiosa, Massimo Monteleone

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Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning by Matthias Gassilloud, Barbara Koch, Anna Göritz

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Epigenetic Signatures in Ovarian Cancer to Determine Potential Diagnostic/Prognostic Biomarkers by Tuba Gunel, Maurice Jansen, Samet Topuz, Jean Helmijr, Servet Tunoğlu, Tugce Senturk Kirmizitas

“…Objective: Identification of methylation patterns in cell-free DNA (cfDNA) provides a non-invasive methodology for discovering critical biomarkers that facilitate detection and prognostic evaluation of ovarian cancer (OC). …”
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Optimizing spatial accessibility and equity of hierarchical older adult care facilities using a multi-modal two-step floating catchment area method: a case study of Lin'an District... by Mengxia Gu, Shangbo Li, Guoquan Zheng

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Microenvironments’ Fine-Scale Influence on Amphibian Communities in Chengdu Plain by Xiaoqin Shi, Zhiyu Dong, Xiaoke Liu, Ziyan Liao, Yongbin Wu, Youhua Chen

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A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

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Optimization of Neighborhood Public Space Design Based on Physical Environment Simulation and Crowd Simulation—A Case Study of Xiaomi’s Changping Campus by Ziyun Ye, Xiaoyu Cao, Xiong Gao, Kun Wang

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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…Our analysis reveals an evolving landscape of methodological approaches, with different techniques showing distinct capabilities in capturing complex degradation patterns in EV batteries. …”
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Spatial correlations between cultural ecosystem services and human activities along the Shenyang’s Hun River corridor by Kaidan Hou, Ling Zhu

“…We developed an urban riparian-specific CES evaluation framework encompassing four categories (opportunities for water/non-water activities, cultural and heritage, landscape aesthetic quality), and integrated HAI using geospatial indicators (population density, normalized difference vegetation index, traffic accessibility, nighttime light). …”
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