Smart furniture using radar technology for cardiac health monitoring by Ali Gharamohammadi, Mohammad Omid Bagheri, Serene Abu-Sardanah, Michael M. Y. R. Riad, Hajar Abedi, Ahmad Ansariyan, Kang Wang, Ashish Saragadam, Dmytro Chumachenko, Shahabeddin Abhari, Plinio Pelegrini Morita, Amir Khajepour, George Shaker

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Fuzzyfortify: a multi-attribute risk assessment for multi-factor authentication and cloud container orchestration by Mohammad Hafiz Hersyah, Mohammad Hafiz Hersyah, Md. Delwar Hossain, Yuzo Taenaka, Youki Kadobayashi

“…To address this, we propose a web-based cybersecurity framework that combines Fuzzy Analytical Hierarchy Process (Fuzzy AHP), Domain Mapping Matrix (DMM), and fuzzy inference to perform multi-attribute risk assessment tailored to containerized environments. The method involves aggregating expert judgments to prioritize six key CIA-AAN criteria-Confidentiality, Integrity, Availability, Authentication, Authorization, and Non-repudiation-followed by structural complexity quantification using DMM enhanced with Singular Value Decomposition. …”
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The global, regional and national burden of pancreatitis due to alcohol use: Results from the Global Burden of Disease Study 2021 and projections to 2040. by Letai Li, Yaowen Zhang, Jiajie Leng, Siyu Li, Yang Lei, Zhenrui Cao, Yuxiang Luo, Haibing Xiong, Zhongjun Wu, Rui Tao, Yingjiu Jiang

“…Trends were analyzed, Age-Period-Cohort models quantified age, period, and cohort effects on Age-Standardized Mortality Rate (ASMR) and Age-Standardized Disability-Adjusted Life Year (ASDR). …”
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Association Between Visual Acuity and Incident Atherosclerotic Cardiovascular Disease: A Longitudinal Test of Mediators by Zijing Du, Xiayin Zhang, Gabriella Bulloch, Feng Zhang, Yu Huang, Yaxin Wang, Yingying Liang, Guanrong Wu, Zhuoting Zhu, Xianwen Shang, Yijun Hu, Xiaohong Yang, Honghua Yu

“…The longitudinal association between VA and ASCVD was examined using Cox proportional hazards models. A four-way decomposition mediation analysis was performed to quantify the indirect effects of hypertension, diabetes, depression, and socioeconomic status in mediating the relationship between VA and ASCVD. …”
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Global burden and trends of high BMI-attributable chronic kidney disease: a comprehensive analysis from 1990 to 2021 and projections to 2035 by Huifang Tan, Zhifu Liu, Yongjie Zhang, Kehao Yang, Yiming Zeng, Guoli Li, Zheng Xiao, Yuanwei Li, Yinyin Chen

“…Age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life years rate (ASDR) were assessed using percentage change (PC) and estimated annual percentage change (EAPC). Decomposition analysis quantified drivers of mortality and DALYs changes, while Bayesian age-period-cohort models projected future trends.FindingsFrom 1990 and 2021, the ASMR of CKD attributable to high BMI increased from 2.69 (95% UI: 1.37–4.14) to 5.06 (95% UI: 2.7–7.5) per 100,000, and the ASDR rose from 69.13 (95% UI: 35.06–106) to 122.08 (95% UI: 66.25–180.18) per 100,000. …”
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Inequities in the continuum of maternal care in Mexico: trends before and after COVID-19 by Edson Serván-Mori, Rocio Garcia-Diaz, Sergio Meneses-Navarro, Octavio Gómez-Dantés, Diego Cerecero-García, Arachu Castro, Rafael Lozano

“…We used multiple regression models to assess factors influencing the likelihood of receiving comprehensive antenatal care, skilled delivery care and postpartum care interventions, both pre-and post-COVID-19. …”
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Mineralogy and sulfide mineral chemistry of Khabr iron ore, Southwest of Baft (Southeast of Sanandaj-Sirjan Zone) by Mohammad Boomeri, Habib Biabangard, Somayeh Dehghani Soltani, Azadeh Bordbar

“…The sulfide minerals are analyzed by the Electron Probe Micro Analyze (EPMA) model of JEOL. JXA-8600 with an accelerator voltage of 15kv and current of 2×10-8 A in Yamagata University.  …”
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Esophageal cancer trends in the US from 1992 to 2019 with projections to 2044 using SEER data by Zhaomin Xie, Jiajia Lin, Zihuan Li, Hexing Sun, Kaiyuan Huang, Danping Lin, Yingsheng Xiao, Congzhu Li, De Zeng

“…We analyzed esophageal cancer data from the Surveillance, Epidemiology, and End Results-12 cancer registry program, using Joinpoint regression for trend analysis and a decomposition method to attribute changes to population growth, population aging, and epidemiological changes. …”
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Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil by Abel Carrasquilla, Herson Rocha

“…Subsequently, nine unsupervised classification techniques-including eight clustering algorithms (e.g., k-means, k-medoids, Gaussian mixture models, spectral clustering, k-nearest neighbors, subtractive fuzzy clustering, fuzzy c-means, and agglomerative hierarchical clustering) and one neural-based mapping method (competitive neural network) - were applied. …”
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Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

“…In spite of this, within spatial ecology, empirical and modeling studies have concentrated on aboveground biota, limiting belowground detail, if any, to abiotic properties of soil. …”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…To accomplish this, a numerical approach for modeling random polar media (RPM) is proposed, benefiting from transform-domain fusion method decompositions in conjunction with a convolutional neural network to jointly reconstruct a reference MIZ model in response to wind waves. …”
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Unveiling the photocatalytic activity of Cu/Fe2O3@gC3N4 nanosheet as an efficient fenton-like catalyst for reactive blue 19 removal: Optimization and kinetics studies by Donald Raoul Tchuifon Tchuifon, Cyrille Ghislain Fotsop, Sandrale Grace Mokue Mafo, Frank Dorinel Solefack Feudjio, Sanchez Dave Mouafo Dongmo, Nche George Ndifor-Angwafor

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Psychosocial determinants of adherence to public health and social measures (PHSMs) in 18 African Union Member States during the early phase of the COVID-19 pandemic: results of a... by Andrew Johnson, Amanda McClelland, Nandita Murukutla, Akhona Tshangela, Ashish K Gupta, Meena Maharjan, Cecilia Fabrizio, Emily W Myers, Virginia Nkwanzi, Colby A Wilkason, Natalie Lacey, Benjamin Djoudalbaye

“…Factors affecting adherence were ranked using the Shapley regression decomposition method.Results Adherence to PHSMs was high, with better adherence to personal than community PHSMs (65.5% vs 30.2%, p<0.05). …”
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Unraveling key environmental drivers of spatial variation in plant functional traits: Insights from Dacrydium pectinatum de Laub. in natural communities on Hainan Island, China by Haodong Liu, Gaoqiang Zhang, Tianqi Li, Siyuan Ren, Baihua Chen, Kaibin Feng, Shanshan Wang, Xiaoqing Zhao, Xingxing Rong, Pengyao Qin, Junpeng Zhao, Wei Li

“…Nine functional traits were measured at the species level, and their variation patterns and sources were analyzed using linear mixed-effects models and variance decomposition methods. Our findings reveal that environmental pressures cause variations in trait relationships across different site conditions at the species level. …”
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Drivers of soil organic carbon stocks and stability along elevation gradients by Nicolas Bonfanti, Philippe Choler, Norine Khedim, Jean-Christophe Clément, Pierre Barré, Romain Goury, François Baudin, Lauric Cécillon, Amélie Saillard, Wilfried Thuiller, Jerome Poulenard

“…Estimating SOC stocks and stability, as well as modeling their response to rising temperatures, is crucial for predicting climate change impacts. …”
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Kinematic changes in dairy cows with induced, unilateral forelimb lameness during straight line walk by A. Leclercq, K. Ask, Y. Mellbin, A. Byström, M. Söderlind, E. Telezhenko, C. Bergsten, P. Haubro Andersen, M. Rhodin, E. Hernlund

“…Baseline and lameness data were compared in linear mixed models, where between-cow variability was accounted for. …”
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Interpretable Multi-Sensor Fusion of Optical and SAR Data for GEDI-Based Canopy Height Mapping in Southeastern North Carolina by Chao Wang, Conghe Song, Todd A. Schroeder, Curtis E. Woodcock, Tamlin M. Pavelsky, Qianqian Han, Fangfang Yao

“…We evaluated four machine learning algorithms, K-nearest neighbors (KNN), random forest (RF), support vector machine (SVM), and eXtreme gradient boosting (XGB), and found consistent accuracy across all models. Our evaluation highlights our method’s robustness, evidenced by closely matched R² and RMSE values across models: KNN (R² of 0.496, RMSE of 5.13 m), RF (R² of 0.510, RMSE of 5.06 m), SVM (R² of 0.544, RMSE of 4.88 m), and XGB (R² of 0.548, RMSE of 4.85 m). …”
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Numerical Prediction of Fatigue Life for Landing Gear Considering the Shock Absorber Travel by Haihong Tang, Panglun Liu, Jianbin Ding, Jinsong Cheng, Yiyao Jiang, Bingyan Jiang

“…On the basis of the whole geometric model of a large passenger aircraft’s main landing gear (MLG), the quasi-static finite element model (FEM) of the whole MLG is established, and the high-cycle fatigue issue of the Main Fitting (MF) is studied by considering the variation in shock absorber travel (SAT). …”
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Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

“…Results showed that Boruta-enhanced models (T2 + T4) improved performance in 89 % of cases. …”
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