Exploring the determinants of thyroid disorders in high-altitude western Himalaya: a geospatial and epidemiological study by Arshad Ahmed, Kheraj, Alireza Mohammadi, Robert Bergquist

“…Risk factors included living in extended families, smoking, other tobacco uses, traditional housing and specific dietary patterns. Protective factors included modern housing, higher education and iodized salt consumption. …”
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A mathematical, classical stratification modeling approach to disentangling the impact of weather on infectious diseases: A case study using spatio-temporally disaggregated Campylo... by Giovanni Lo Iacono, Alasdair J C Cook, Gianne Derks, Lora E Fleming, Nigel French, Emma L Gillingham, Laura C Gonzalez Villeta, Clare Heaviside, Roberto M La Ragione, Giovanni Leonardi, Christophe E Sarran, Sotiris Vardoulakis, Francis Senyah, Arnoud H M van Vliet, Gordon Nichols

“…The study can be crucially important to infer the elusive mechanism of transmission of campylobacteriosis; for instance, by simulating the conditional incidence for a postulated mechanism and compare it with the phenomenological patterns as benchmark. The findings challenge the assumption, commonly made in statistical models, that the transformed mean rate of infection for diseases like campylobacteriosis is a mere additive and combination of the environmental variables.…”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Future research directions include spatial lesion mapping and the development of clinically grounded learning methodologies.…”
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Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries by Liangyu Xu, Wenxuan Han, Jiawei Dong, Ke Chen, Yuchen Li, Guangchao Geng

“…This improvement stems from the model’s ability to decode localized heating patterns and their hysteresis effects, which are particularly pronounced in aged batteries. …”
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LeafGen: Leaf generation in 3D tree models by Pietari Mönkkönen, Wouter Van den Broeck, Simo Ali‐Löytty, Kim Calders, Pasi Raumonen

“…Species‐specific traits can also be incorporated with specific leaf geometries and phyllotaxis patterns. The leaves are generated without intersections to ensure realistic foliage. …”
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Lightweight Deep Learning Model for Fire Classification in Tunnels by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…This model integrates MobileNetV3 for spatial feature extraction, Temporal Convolutional Networks (TCNs) for temporal sequence analysis, and advanced attention mechanisms, including Convolutional Block Attention Modules (CBAMs) and Squeeze-and-Excitation (SE) blocks, to prioritize critical features such as flames and smoke patterns while suppressing irrelevant noise. …”
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Global Variability and Future Projections of Marine Heatwave Onset and Decline Rates by Yongyan Pan, Wenjin Sun, Senliang Bao, Mingshen Xie, Lei Jiang, Jinlin Ji, Yang Yu, Changming Dong

“…Looking ahead to the future (2015~2100), both the SSP245 and SSP585 scenarios display consistent spatial patterns of MHW onset and decline rates. The Kuroshio-Oyashio Extension, Gulf Stream, Antarctic Circumpolar Current, and Brazil-Malvinas Confluence regions exhibit relatively higher onset and decline rates. …”
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Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning by Alanoud Al Mazroa, Nuha Alruwais, Muhammad Kashif Saeed, Kamal M. Othman, Randa Allafi, Ahmed S. Salama

“…By utilizing advanced neural network architectures, such as convolutional neural networks (CNN), DL models outperform at identifying complex features and patterns within the aerial imagery. These models can extract spectral and spatial information from the captured data, classifying diverse terrains, structures, and objects precisely. …”
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Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…Optimizing short-term load forecasting performance is a challenge due to the non-linearity and randomness of electrical load, as well as the variability of system operating patterns. Existing methods often fail to consider how to effectively combine their complementary advantages and fail to fully capture the internal information in the load sequence, leading to a decrease in accuracy. …”
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Analysis of the Most Common Aviation Weather Hazard and Its Key Mechanisms over the Yangon Flight Information Region by K. T. Oo, K. L. Oo

“…The correlation coefficient is the most significant index explaining the relationship between variables and can result in teleconnection patterns of climate indices. El Nino-Southern Oscillation (ENSO) and India Ocean Dipole (IOD) were used in this study based on the ERA5 reanalysis dataset for 30 years (1991–2020). …”
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Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR by Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam

“…Wildfires in the United States have increased in frequency and severity over recent decades, driven by climate change, altered weather patterns, and accumulated flammable materials. Accurately forecasting the Fire Weather Index (FWI) is crucial for mitigating wildfire risks and protecting ecosystems, human health, and infrastructure. …”
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Assessing the impact of climate change on habitat shifts of typical endemic relict trees in China by Ming Li, Junbang Wang, Xiujuan Zhang, Yongsheng Yang

“…Extensive evidence supports that global climate change influences shifts in species habitats due to alterations in hydrothermal conditions; however, neglecting dispersal capacities and limits significantly heightens uncertainties regarding spatial distribution patterns among different organisms. …”
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Flow analysis of steady state forward flow of aortic valve prostheses using Particle Image Velocimetry by Lenz Christopher, Borowski Finja, Oldenburg Jan, Brandt-Wunderlich Christoph, Stiehm Michael, Schmitz Klaus-Peter

“…Results showed characteristic flow patterns: a central jet flow entering the TAVR in the ventricular flow field. …”
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Assessing the Distribution of Potentially Toxic Elements in Bryophytes in Relation to Surface Soil Contamination in the Veles Region, North Macedonia by Trajče Stafilov, Katerina Bačeva Andonovska, Robert Šajn, Marija Jeftimova

“…The results show significant patterns of deposition of PTEs and highlight the long-term impact of industrial activities on biodiversity and air pollution. …”
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Occupation, displacement, and violence in the West Bank: A retrospective analysis of data from 2014-2024. by Sarah Aly, Fatima Mossolem, Ayeh Khalil, Tushara Surapaneni, Abd Al-Rahman Traboulsi, Waleed Aldadah, Eleanor Reid, Shakoor Hajat

“…Chi-square analysis examined demolition patterns by West Bank area. GIS mapping methods visualized spatial variations in casualties and demolitions. …”
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Understanding the changes in long-distance travel behavior due to socio-economic and pandemic drivers by Farzana Faiza Farha, Sadia Afroj, Md. Musleh Uddin Hasan, Effat Farzana

“…A notable percentage of trip makers' long-distance trip patterns and mode use remained the same as their pre-pandemic situation. …”
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Sedimentary Characteristics and Petroleum Geological Significance of the Middle–Upper Triassic Successions in the Wushi Area, Western Kuqa Depression, Tarim Basin by Yahui Fan, Mingyi Hu, Qingjie Deng, Quansheng Cai

“…This study focuses on the Wushi Sag, systematically analyzing the sedimentary facies types, the evolution of sedimentary systems, and the distribution patterns of the Triassic Kelamayi and Huangshanjie formations. …”
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Impact of gravel bar flooding on arthropods in the upper Isar: implications for river management by R. Wessels, A. Sundermann, A. Sundermann, A. Sundermann

“…<p>Braided rivers are dynamic ecosystems with constantly shifting flow patterns that create diverse habitats, supporting species highly adapted to frequent flooding and gravel relocation. …”
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Alterations in Soil Arthropod Communities During the Degradation of Bayinbuluk Alpine Grasslands in China Closely Related to Soil Carbon and Nitrogen by Tianle Kou, Yang Hu, Yuanbin Jia, Maidinuer Abulaizi, Yuxin Tian, Zailei Yang, Hongtao Jia

“…., non-degraded: ND, lightly degraded: LD, moderately degraded: MD, and heavily degraded: HD) to collect soil samples and determine their composition, spatial distribution, and diversity patterns, in addition to the factors driving community change. …”
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Driving factors and management strategies for water quality improvement in Fuxian Lake, China: A case study on ecological restoration and sustainable management of plateau lakes by Huimei Wang, Nuruol Syuhadaa Mohd

“…Climatic factors, such as precipitation patterns and temperature fluctuations, also influenced nutrient cycling and sedimentation processes, albeit to a lesser extent compared to anthropogenic interventions. …”
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