Influence of fire characteristics on the associations between smoke PM2.5 exposure and acute cardiorespiratory health events by Calvin S. Riss, Sam D. Faulstich, Patrick S. Reuther, William J. Metcalf, Lyndsey A. Darrow, Heather A. Holmes, Matthew J. Strickland

“…Wildland fire smoke PM2.5 concentrations were determined using a novel approach that combined EPA monitor data, atmospheric dispersion modeling, fire emissions inventories, and Bayesian time-series modeling to estimate daily fire-specific smoke PM2.5 concentrations. …”
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Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning by Xinyuan Zheng, Patrick Worhunsky, Qiong Liu, Xueqi Guo, Xiongchao Chen, Heng Sun, Jiazhen Zhang, Takuya Toyonaga, Adam P. Mecca, Ryan S. O’Dell, Christopher H. van Dyck, Gustavo A. Angarita, Kelly Cosgrove, Deepak D’Souza, David Matuskey, Irina Esterlis, Richard E. Carson, Rajiv Radhakrishnan, Chi Liu

“…Results The generated SV2A PET images are visually similar to the ground truth in terms of contrast and tracer distribution, quantitatively with low bias (< 2%) and high similarity (> 0.9). …”
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Location and Size Planning of Charging Parking Lots Based on EV Charging Demand Prediction and Fuzzy Bi-Objective Optimization by Qiong Bao, Minghao Gao, Jianming Chen, Xu Tan

“…The travel and charging behavior of large-scale users are then simulated to predict the spatiotemporal distribution of charging demand. Finally, taking the predicted charging demand distribution as an input and the number of CPLs and charging parking spaces as constraints, a bi-objective optimization model for simultaneous location and size planning of CPLs is constructed, and solved using the fuzzy genetic algorithm. …”
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Weed Types and Dynamics Associations with Catena Landscape Positions: Smallholder Farmers’ Knowledge and Perception in Zimbabwe by Justin Chipomho, Simbarashe Tatsvarei, Cosmas Parwada, Arnold Bray Mashingaidze, Joyful T. Rugare, Stanford Mabasa, Regis Chikowo

“…Xanthium strumarium was perceived as a new invasive weed in low-lying arable fields. The binary logistic model predicted farm location on the landscape and fertiliser use as the main factors affecting weed types, distribution, and abundance. …”
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A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

“…Experimental evaluation on the CAN-Hacking dataset shows that the proposed intrusion detection system achieves more than 99% F1 score with only 1.11 MB of memory and 81,863 trainable parameters, while maintaining low computational overheads and ensuring data privacy, which is very suitable for edge device deployment.…”
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Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yin... by Shujun Yin, Jianliang Zhang, Hucheng Deng, Hucheng Deng, Hao Qin, Wenhao Xia, Yu Du, Ming Gong, Tao Huang, Chang Li

“…Furthermore, the transverse isotropic in-situstress prediction model demonstrates high accuracy. When comparing its predictions for minimum and maximum horizontal principal stresses to measured in-situstress data, the model exhibits average relative errors of only 3.39% and 3.23%, respectively.DiscussionIn the study area, vertical high-low-high (HLH) stress difference profiles exhibit the highest oil-bearing potential and a reduced likelihood of fracturing-induced artificial fractures crossing through layers. …”
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Spatial–temporal evolution patterns of influenza incidence in plateau regions from 2009 to 2023 by Sheng-lin Qin, Sheng-lin Qin, Hai-jun Bai, Ping Deng, Yi-wen Wang, Song-ming Ma, Yang Zhang, Yu-qi Jiang, Jiang Long, Jin-hua Zhao, Jin-hua Zhao

“…ObjectivesThis study used (Geographic Information System) GIS technology to analyze the spatiotemporal distribution of influenza incidence in Qinghai from 2009 to 2023, based on influenza surveillance data.MethodsThis study first accessed the influenza data sets of Qinghai Province from 2009 to 2023 through the Chinese Infectious Disease Surveillance System. …”
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Selection of the Material for the Sensitive Elements of SAW-based Accelerometers by S. Yu. Shevchenko, D. A. Mikhailenko, D. P. Lukyanov

“…AlN demonstrated almost double resistance to irreversible mechanical deformations as compared to SiO2, which, in turn, allows an additional 1.5-fold increase in sensitivity compared to quartz – based sensors.Conclusion. Based on the data obtained by the modeling, it can be concluded that the use of AIN as SE material is promising, especially for measuring high acceleration values, but with restrictions on temperature sensitivity of the material.…”
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A systematic methodology to capture the global pattern of rheumatic heart disease: the Rheumatic Heart Disease Endemicity Index (RHDEI) by Megan Lindstrom, Neema W. Minja, Benjamin Stark, Catherine O. Johnson, Christian Razo, Nicole DeCleene, Kate E. LeGrand, George Mensah, David Watkins, Gregory A. Roth

“…Abstract Background Rheumatic heart disease (RHD) disproportionally affects young populations in socio-economically disadvantaged settings, resulting in a skewed distribution towards low- and middle-income countries. …”
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Mineral resource base of Russia’s cobalt: current state and development prospects by G. Yu. Boyarko, L. M. Bolsunovskaya

“…For deposits of the silicate-cobalt-nickel formation, where previous assessments were based on maximizing nickel reserves, a reassessment is proposed with 3D special modeling of cobalt distribution as the primary ore component. …”
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Deciphering the spectra of flowers to map landscape‐scale blooming dynamics by Yoseline Angel, Ann Raiho, Dhruva Kathuria, K. Dana Chadwick, Philip G. Brodrick, Evan Lang, Francisco Ochoa, Alexey N. Shiklomanov

“…The reflectance residual was projected on a low principal component basis to characterize flowering clusters' variation and spatial distribution based on the Gaussian mixture model, providing an uncertainty metric to assess the results. …”
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Study on the effect of front retaining walls on the thermal structure and outflow temperature of reservoirs. by Xiaoqian Yang, Youcai Tuo, Yanjing Yang, Xin Wang, Yun Deng, Haoyu Wang

“…The simulated data from January to September 2017 showed that FRWs can change the vertical temperature distribution during the stratification period, accelerate the upper warmer water release and thus decrease the strength of thermal stratification. …”
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Crisis communication transformation through global digital news platforms by Rijkad Omar Dylian, Achmad Nurmandi, Muhammad Younus

“…As a practical recommendation, this study suggests a data-driven, participatory, and empathetic crisis communication model, as well as the integration of real-time sentiment monitoring and an actionable and forward-looking two-way feedback system.…”
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Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network by Renpeng LIU, Bo HU, Hequn LI

“…The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms.…”
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Urban Flooding Vulnerability Analysis Using Weighted Linear Method With Geospatial Information System by E. S. Okonofua, N. Kayode-Ojo

“…The study applied weighted linear method and geospatial information technology to obtain relevant data which were subjected to analysis. Sentinel 2 imagery of the area was downloaded from the United States Geological Survey (USGS) website and analyzed to produced digital elevation model, rainfall distribution, soil texture classification, topographic wetness index (TWI), hillside slope, land use/cover contour and slope maps of the area. …”
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Research and Implementation of the Text Matching Algorithm in the Field of Housing Law and Policy Based on Deep Learning by Yin Xu, Hong Ma

“…Machine learning enables machines to learn rules from a large amount of data input from the outside world through algorithms, so as to identify and judge. …”
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Association of socio-demographic and dietary factors for metabolic syndrome: A comparative study among tribal and non-tribal population by Jayshri R. Ghate, Anshita Gulati, Akanksha Mishra, Rachita Nanda, Vinay Pandit, Sandip Kumar Chandraker, Suyesh Shrivastava, Ravindra Kumar

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Trends in the burden of chronic kidney disease related to high red meat intake from 1990 to 2021 by Miaofei Dai, Haixu Guo

“…Abstract Objective To systematically examine global trends and spatial distribution of the burden of chronic kidney disease associated with high red meat intake from 1990 to 2021 using data from the Global Burden of Disease 2021 study, providing scientific evidence for targeted prevention strategies. …”
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AgriDeep-net: An advanced deep feature fusion-based technique for enhanced fine-grain image analytics in precision agriculture by Rakesh Chandra Joshi, Radim Burget, Malay Kishore Dutta

“…The framework adeptly manages the hurdles posed by uneven data distribution, intra-class diversity, and the demands of multi-class classification. …”
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Moisture Recycling in the Colombian Andes by J. M. Bedoya‐Soto, G. Poveda

“…We aim to understand where and when water vapor evaporated from land turns into rainfall through moisture recycling, using the Water Accounting Model‐2layers (WAM‐2), an offline model to track atmospheric moisture forced with data from ERA‐5 at its native 0.25° resolution during 1980–2020. …”
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