A comprehensive investigation of the relationship between dietary fatty acid intake and preserved ratio impaired spirometry: multimethodology based on NHANES by Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Jianxing He, Ying Huang

“…Abstract Background Preserved ratio impaired spirometry (PRISm) has been identified as a potential precursor to chronic obstructive pulmonary disease (COPD) and demonstrates a significant correlation with unfavorable clinical outcomes. …”
Get full text

Longitudinal assessment of health-related quality of life in patients with adult congenital heart disease undergoing cardiac surgeryCentral MessagePerspective by Brittany A. Potz, MD, Justin A. Robinson, MD, Jeevanantham Rajeswaran, PhD, Carla Duvall, MSN, Beata Earl, BS, John Urchek, BS, Natalie Salvatore, DNP, MBA, RN, Lars G. Svensson, MD, PhD, Tara Karamlou, MD, MSc

“…Diagnosis included hypertrophic obstructive cardiomyopathy (276, 50%), anomalous coronary artery (42, 7.5%), congenital aortic valve disease (42, 7.5%), bicuspid aortic valve (64, 12%), and aortic aneurysm (25, 4.5%). …”
Get full text

Prognostic value of inflammatory markers for all-cause mortality in patients with acute myocardial infarction in the coronary care unit: a retrospective study based on MIMIC-IV dat... by Fen Cao, Jun-jun Jiang, Gui Zhang, Jun Liu, Ping Xiao, Yang Tian, Wei Zhang, Sheng Zhang, Feng Hou, Zhong-Wu Bao, Kun Wu, Yong-zhi Zhu

“…Stratified analyses based on gender and comorbidities showed that the risk of death was significantly increased in male and female patients, with or without diabetes, without cerebral infarction, chronic obstructive pulmonary disease, liver disease, and renal disease in the Q4 group when compared to the Q1 group.ConclusionsNLR is nonlinearly and positively associated with all-cause mortality of AMI patients in the CCU. …”
Get full text

Adaptation to Social Complexity by M. S. Negrova

“…By Historical Standards, the Recent Introduction of the Nonlinear Approach into the Scientific World Picture put the Classical Understanding of Space and Time to the Obstruction. …”
Get full text

Associations of sleep pattern, sleep duration, bedtime, rising time and cardiovascular disease: Data from NHANES (2017-2020). by Xiao Zhang, Dongling Wang, Jiangang Liu

“…Weighted data were used for restricted cubic spline (RCS) plots to assess the nonlinear relationship between sleep durations, bedtime, rising time and CVD.…”
Get full text

DETERMINATION OF THE LEVEL OF OVERVOLTAGE IN THE SECONDARY CIRCUITS OF SUBSTATIONS WHEN LIGHTNING IMPULSE VOLTAGE IS DISTRIBUTED IN HIGH-VOLTAGE BUSES by V. I. Glushko, E. A. Deryugina

“…Overvoltage in the system “wire – ground” is considered as obstructions which are hazard in relation to the possibility of electrical damage of the devices of relay protection and automation of substations. …”
Get full text

Exploring the synergy between sustainability and resilience in supply chains under stochastic demand conditions and network disruptions by Saheeb Ahmed Kayani, Salman Sagheer Warsi

“…The impact of global events such as the outbreak of the COVID-19 pandemic, the 2021 Suez Canal obstruction, and the constraints imposed on Panama Canal operation due to severe drought conditions in 2023 underscore the urgent need for resilient and sustainable supply chains. …”
Get full text

Importance of Eddy Viscosity and Advection in Hydrodynamical Models for Simulating Flash Floods on Steep Sloped Watersheds by Gergely Amon, Katalin Bene

“…By keeping geometry, mesh, and rainfall inputs consistent, the study compared solver performance, identifying potential errors that arise under different conditions. Nonlinear advection, rather than gravity and roughness, was found to govern flow around obstructions. …”
Get full text

Multipath-Assisted Ultra-Wideband Vehicle Localization in Underground Parking Environment Using Ray-Tracing by Shuo Hu, Lixin Guo, Zhongyu Liu, Shuaishuai Gao

“…In complex underground parking scenarios, non-line-of-sight (NLOS) obstructions significantly impede positioning signals, presenting substantial challenges for accurate vehicle localization. …”
Get full text

Blood-cerebrospinal fluid (CSF) barrier dysfunction means reduced CSF flow not barrier leakage - conclusions from CSF protein data by Hansotto REIBER

“…Local accumulation of gadolinium in multiple sclerosis (MS) is now understood as due to reduced bulk flow elimination by interstitial fluid (ISF). Nonlinear change of the steady state in barrier dysfunction and along normal rostro-caudal gradients supports the diffusion/flow model and contradicts obstructions of diffusion pathways. …”
Get full text

Deteriorated biomechanical properties of human hypertrophied septum in response to cardiomyocyte enlargement, overexpressed collagen, and disarrayed microstructures by Katherine M. Copeland, Houjia Chen, Uday Chintapula, Milad Almasian, Duc Khang Chung, Alan M. Taylor, Yichen Ding, Gaurav Sharma, Michael E. Jessen, Yi Hong, Kytai T. Nguyen, Matthias Peltz, Pietro Bajona, Jun Liao

“…We found that the hypertrophied human septum was stiffer at the initial phase of tissue loading, but less nonlinear, less stiff in the linear region, and much weaker in mechanical strength when compared to the healthy human septum. …”
Get full text

Size effect and phenomenological constitutive model of mechanical properties of ultra-thin 316L sheet by Wenlong Xie, Zonghui Su, Xiangcheng Zeng, Yong Xu, Siying Deng, Boris B Khina, Artur I Pokrovsky, Shihong Zhang

“…The increase of grain size reduces the obstruction of dislocation motion by grain boundaries, leading to a decrease in the strength coefficient $K$ . …”
Get full text

Quantitative assessment of factors that influence heat vulnerability in residential areas using machine learning and unmanned aerial vehicle by Jawoon Gu, Dongwoo Kim, Chulmin Jun, Seungwoo Son

“…The study site, adjacent to a river and designated as an Urban Regeneration Area, is particularly vulnerable to summer heat.Exploratory data analysis (EDA) was conducted to examine statistical characteristics and spatial patterns, followed by confirmatory data analysis (CDA) using nonlinear regression models such as CatBoost, Random Forest, and XGBoost. …”
Get full text

Interpretable machine learning for predicting isolated basal septal hypertrophy. by Lei Gao, Boyan Tian, Qiqi Jia, Xingyu He, Guannan Zhao, Yueheng Wang

“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models. …”
Get full text