Prevalence and factors associated with unintended pregnancy among women in Ghana by Augustus Osborne, Florence Gyembuzie Wongnaah, Khadijat Adeleye, Camilla Bangura, Richard Gyan Aboagye, Bright Opoku Ahinkorah

“…Regional variations in the prevalence of unintended pregnancy were presented using a spatial map. A mixed-effect multilevel binary logistic regression models were fitted to examine the factors associated with unintended pregnancy using a four-modelled approach. …”
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Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

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Bathymetry-guided multi-source remote sensing image domain adaptive coral reef benthic habitat classification by Hui Chen, Liang Cheng, Ka Zhang

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Assessing cross cultural urban park emotional wellbeing impact in Shanghai and London by Zijuan Zhao, Qingying He, Yaqiong Zhang, Sidi liu, Ying Yang

“…A LightGBM regression model was used to explore the nonlinear relationships between park environments and positive emotions, while a Multiscale Geographically Weighted Regression (MGWR) model was constructed to reveal spatial heterogeneity and its underlying causes. …”
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Investigating the closures of sea level budgets in China’s adjacent seas by Yang Li, Jinyun Guo, Yu Sun, Jiangcun Zhou, Heping Sun

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Demographic, socioeconomic and regional disparities in the coverage of water, sanitation and hygiene facilities in four South Asian Countries. by Md Hasibul Islam Jitu, Mohammad Shahed Masud

“…Data analysis was done using descriptive statistics and multivariate logistic regression model. Besides, spatial mapping was used for regional comparison, the Generalized Variance Inflation Factor (GVIF) was applied for checking multicollinearity, and the Receiver Operating Characteristic (ROC) curve was used to evaluate model performance.…”
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Bayesian active sound localisation: To what extent do humans perform like an ideal-observer? by Glen McLachlan, Piotr Majdak, Jonas Reijniers, Michael Mihocic, Herbert Peremans

“…The model predictions showed a general agreement with actual human performance. …”
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Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach by Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu

“…The robustness of these models was confirmed through extensive validation. …”
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Land Use Optimization and Simulation in the Dongjiang River Basin with a Low-Carbon Orientation by He Yanhu, Wu Luyan, Lin Zeyu

“…This study first optimizes the land use structure in the basin under two low-carbon development scenarios, maximizing carbon sinks and minimizing carbon emissions. A CA-Markov model was employed to simulate the land use spatial pattern in the river basin for 2025. …”
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Analysis of Beams with a Three-dimensional Random Field of the Modulus of Elasticity Using the Stochastic Finite Element Method by Nguyen Dang Diem, Pham Van Dat, Ta Duy Hien

“…This study proposes a stochastic finite element method (SFEM) for analyzing the static response of beams with material properties modeled as three-dimensional spatial random fields. …”
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Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study. by Erick A Perez Alday, Michael A Colman, Philip Langley, Henggui Zhang

“…Catheter ablation therapy, commonly used in the treatment of AF, requires spatial information on atrial electrical excitation. …”
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Geographic patterns and environmental factors associated with human yellow fever presence in the Americas. by Patricia Najera Hamrick, Sylvain Aldighieri, Gustavo Machado, Deise Galan Leonel, Luz Maria Vilca, Sonia Uriona, Maria Cristina Schneider

“…The objective of this study was to identify spatial patterns and the relationship between key geographic and environmental factors with the distribution of yellow fever human cases in the Americas.…”
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Estimates of Lake Nitrogen, Phosphorus, and Chlorophyll‐a Concentrations to Characterize Harmful Algal Bloom Risk Across the United States by Meredith M. Brehob, Michael J. Pennino, Amalia M. Handler, Jana E. Compton, Sylvia S. Lee, Robert D. Sabo

“…We then used these RF models to extrapolate lake TN and TP predictions to lakes without nutrient observations and predict chlorophyll‐a for ∼112,000 lakes across the CONUS. …”
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Self-propelled particles undergoing cyclic transitions by Ye Zhang, Duanduan Wan

“…Here, we investigate a minimal model of self-propelled Brownian particles undergoing cyclic transitions across three spatial zones: gain, loss, and neutral regions. …”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…These models were then utilized to predict the probabilities of landslide and collapse occurrences across the designated study area. …”
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Preliminary results of the EPIDIA4Kids study on brain function in children: multidimensional ADHD-related symptomatology screening using multimodality biometry by Yanice Guigou, Alexandre Hennequin, Théo Marchand, Théo Marchand, Mouna Chebli, Lucie Isoline Pisella, Pascal Staccini, Pascal Staccini, Vanessa Douet Vannucci, Vanessa Douet Vannucci

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Contrasting the impact and cost-effectiveness of successive intervention strategies in response to Ebola in the Democratic Republic of the Congo, 2018–2020 by Wu Zeng, Thomas Wilkinson, Mathias Mossoko, Michel Yao, Steve Ahuka-Mundeke, Thibaut Jombart, Hadia Samaha, Dominique Baabo, Jean-Pierre Lokonga, Sylvain Yuma, Anne Cori, Fatima El Kadiri El Yamini, Patrick Hoang-Vu Eozenou, Linda Mobula

“…The spatial spread was moderate with an average 4.4% (95% CrI = (3.5%; 5.4%)) of transmissions moving to different health zones. …”
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Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China by Rui Yan, Mengya Yang, Hanqing He, Yan Feng, Yang Zhou, Xuewen Tang, Xuan Deng, Yao Zhu, Yuxia Du, Can Chen, Cao Kexin, Shigui Yang

“…We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Statistical measures, including mean, variance, and entropy, were calculated from these features to determine temporal and spatial variations in the network data. Moreover, deep learning models, including long short-term memory networks and convolutional neural networks (CNNs), were used to automatically extract high-level features from raw data such as network logs or sensor readings. …”
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Transformations in exposure to debris flows in post-earthquake Sichuan, China by I. Utley, T. Hales, E. Hussain, X. Fan

“…Using high-resolution satellite images, we developed a multitemporal building inventory from 2005 to 2019, comparing it to the spatial distribution of previous debris flows and future modelled events. …”
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