CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis. by Choong Guen Chee, Young Hoon Kim, Kyoung Ho Lee, Yoon Jin Lee, Ji Hoon Park, Hye Seung Lee, Soyeon Ahn, Bohyoung Kim

“…Cox proportional hazards models were constructed to predict prognosis based on stage, age, and each texture feature. …”
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Aeromagnetic delineation of iron ore deposits in a complex geological terrain aided by fuzzy logic by Fahad Abubakar, Felix Bamidele Fatoye, Momohjimoh Abdulsalami, Abdullateef Aliyu

“…Validation using four known iron ore mining sites confirmed model accuracy, with all sites located within predicted high-potential zones. …”
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Infilling of missing rainfall radar data with a memory-assisted deep learning approach by J. Meuer, L. M. Bouwer, L. M. Bouwer, F. Kaspar, R. Lehmann, W. Karl, T. Ludwig, C. Kadow

“…<p>Incomplete spatiotemporal meteorological observations can result in misinterpretations of the current climate state, uncertainties in early warning systems, or inaccuracies in nowcasting models and can thereby pose significant challenges in hydrology research or similar applications. …”
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Incorporating long-term numerical weather forecasts to quantify dynamic vulnerability of irrigation supply system: A case study of Shihmen Reservoir in Taiwan by Chia-Chuan Hsu, Yu-Pin Lin

“…Techniques including K-nearest neighbors (KNN) for spatial downscaling, Long Short-Term Memory (LSTM) networks for simulating rainfall runoff, and Monte Carlo simulations (MCS) for analyzing system vulnerability are employed. …”
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Boundary-Aware Transformer for Optic Cup and Disc Segmentation in Fundus Images by Soohyun Wang, Byoungkug Kim, Doo-Seop Eom

“…Furthermore, the proposed model more accurately captures the relative size and spatial alignment of the OD and OC and produces smooth and consistent boundary predictions in clinically significant regions such as the region of interest (ROI). …”
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A method to quantify jump dispersal of invasive species from occurrence data: the case of the spotted lanternfly, Lycorma delicatula by Nadège Belouard, Sebastiano De Bona, Matthew R. Helmus, Isabella G. Smith, Jocelyn E. Behm

“…The accuracy of predicting the spread of biological invasions is improved if models explicitly incorporate the two main dispersal mechanisms: diffusive spread and jump dispersal. …”
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Role of Cairns–Gurevich ion distribution on nonlinear wave propagation in negatively charged dusty plasma by N.S. Alharthi

“…The results demonstrated that soliton waves, explosive waves, and kink waves exhibit distinct behaviors depending on these parameters and the spatial context of Earth's magnetosphere. These findings provide new insights compared to previous studies into the conditions under which these waveforms emerge and evolve, especially in magnetized environments where earlier models were less effective at accurately characterizing or predicting wave behavior. …”
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Megalopolitan-scale rooftop solar photovoltaic potential estimation of the Greater Bay Area in China on 3D buildings with deep learning by Bochen Zhang, Zhuoxi Li, Zhen Peng, Siting Xiong, Teng Zhong, Jan-Peter Muller

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Method of automatic coregistration of digital remote sensing images from different sources by A.N. Borisov, V.V. Myasnikov, V.V. Sergeev

“…The method is designed to align color, grayscale, multispectral, and radar images, as well as their combinations, with potential differences in spatial resolution of up to four times (optionally – sixteen times). …”
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Micro, Small or Medium, New or Old—Are There Differences? Testing Business-Specific Difficulties by Mihaela Brîndușa Tudose, Savin Dorin Ionesi, Ionuț Dulgheriu, Liliana Buhu, Valentina Diana Rusu

“…To formulate general conclusions or predictions, in economic research, large databases are often used, related to more or less homogeneous samples, without taking into account the spatial or structural differences of the analysed processes or phenomena. …”
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Joint Inversion of InSAR and GNSS for surface subsidence and terrestrial water storage anomalies of small-area in west-central Yunnan Province, China by Ming Shangguan, Jingyi Guo, Shuguang Wu, Xu Zhou, Rong Zou, Xin Zhang

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Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed by Li Feng, Maosheng Zhang, Yimin Mao, Hao Liu, Chuanbo Yang, Ying Dong, Yaser A. Nanehkaran

“…Abstract Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. …”
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Exploring drought risk scenarios for bioenergy systems for adaptation to climate change in the Upper Tocantins basin, Brazil by Jazmin Campos Zeballos, Vinicius Bof Bufon, Zita Sebesvari, Jakob Rhyner

“…The IPCC AR5 Risk Assessment Framework was employed to evaluate two global climate change models, two representative concentration pathways (RCPs), and three land use scenarios. …”
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Research on Location Planning of Battery Swap Stations for Operating Electric Vehicles by Pengcheng Ma, Shuai Zhang, Bin Zhou, Wenqi Shao, Haowen Li, Tengfei Ma, Dong Guo

“…The article proposes a vehicle power exchange demand-oriented power exchange station siting planning scheme to meet the rapid replenishment demand of operating vehicles in urban areas. The spatial and temporal distribution of power exchange demand is predicted by considering the operation law, driving law, and charging decision of drivers; the candidate sites of power exchange stations are determined based on the data of power exchange demand; the optimization model of the site selection of power exchange stations with the lowest loss time of vehicle power exchange and the lowest cost of the planning and construction of power exchange stations is established and solved by using the joint algorithm of MLP-NSGA-II; and the optimization model is compared with the traditional genetic algorithm (GA) and the Density Peak. …”
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Urban pertussis epidemiological patterns in a highly vaccinated megacity: Policy impacts and control strategies in Chongqing, China, 2005-2024 by Rui Shen, Jiawei Xu, Yugang Li, Jianxing Yu, Na Sun, Zilu Xu, Xueying Xu, Xiao Liu, Yang Liu, Bosong Li, Li Qi, Luzhao Feng

“…Methods: Using population-based surveillance data (2005-2024) from Chongqing (population 32.1 million; DTP3 coverage >97%), we conducted hierarchical Bayesian spatial modeling and age-structured Susceptible-Infected-Recovered-Vaccinated transmission analysis. …”
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Rugged terrain and rigid hierarchy by Gen Tsudaka, Margaux N.A. Wienk, Jana B. Berkessel, Cynthia Boo

“…In Study 1 (78 countries; N = 156,658), we combined cross-national survey data from the European Values Study/World Values Survey with digital elevation models. Results demonstrated that national preferences for military rule and for a strong leader (who bypasses democratic processes) were higher in countries with more rugged terrain, even after controlling for economic factors, demographic indices, and spatial autocorrelation. …”
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Analysis of temperature field evolution in ground freezing construction of twin tunnels in a coastal urban area by Tingfen Ye, Jun Hu, Jie Zhou, Huajing Gan, Lei Huang, Xinmin Shang

“…However, in the case of twin-tunnel (or two-lane tunnel) projects, accurately predicting the temperature field during the freezing process remains a critical challenge. …”
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Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale by Yueyue Wang, Xueling Wu, Guo Lin, Bo Peng

“…By comparing the actual losses incurred per unit area from landslides, it is found that the social vulnerability results predicted by the <i>CV-KL-TOPSIS</i> model are more consistent with the actual survey results. …”
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The Role of Parental Education, Intelligence, and Personality on the Cognitive Abilities of Gifted Children by Lina Pezzuti, Morena Farese, James Dawe, Marco Lauriola

“…Several studies have indicated that parental education predicts children’s intelligence. In contrast, fewer studies have simultaneously analyzed the role of parental intelligence, education, and personality in shaping their children’s giftedness. …”
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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

“…Abstract Demographic data are essential to construct mechanistic models to understand how populations change over time and in response to global threats like climate change. …”
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