A5102645352- Nutritional Studies and Diet
- Advanced Battery Technologies Research
- Nutrition and Health in Aging
- Dementia and Cognitive Impairment Research
- Diabetes Management and Education
- Frailty in Older Adults
- Diabetes Management and Research
- Cardiovascular Health and Disease Prevention
- Gut microbiota and health
- Diabetes Treatment and Management
- Diet and metabolism studies
- Electric and Hybrid Vehicle Technologies
- Blood Pressure and Hypertension Studies
- Liver Disease Diagnosis and Treatment
- Aquaculture disease management and microbiota
- Microbial Community Ecology and Physiology
- Advanced Battery Materials and Technologies
- Electric Vehicles and Infrastructure
- Genomics and Phylogenetic Studies
- Advancements in Battery Materials
- Genetic Associations and Epidemiology
- Folate and B Vitamins Research
Eastman Chemical Company (United States)
2023-2024
Farasis Energy (United States)
2024
University of Rochester Medical Center
2023-2024
Cabot (United States)
2024
Eastman Dental Hospital
2024
Fuzhou University
2024
Background: Growing evidence has demonstrated the important roles of gut microbiota and short chain fatty acids, especially acetate, propionate butyrate, in development obesity metabolic diseases.To date, effects butyrate on human adiposity glucose metabolism remain controversial.This study aimed to explore associations systemically with homeostasis patients type 2 diabetes (T2D) obesity.Methods: A total 12 T2D 8 age-and sex-matched healthy individuals BMI <24 kg/m were enrolled this...
Objective: To investigate the impact of sarcopenia on 10-year risk atherosclerotic cardiovascular disease (ASCVD) among individuals with type 2 diabetes mellitus (T2DM). Methods: This study included clinical, laboratory, and body composition data 1491 patients T2DM who were admitted to Department Endocrinology Metabolism at Tianjin Union Medical Center from July 2018 2023. The China-PAR model was utilized evaluate risk. Associations between ASCVD various clinical parameters analyzed,...
Objective The aim of this study was to investigate risk factors for cognitive impairment (CI) and explore the relationship between obesity cognition in hospitalised middle-aged patients with type 2 diabetes (T2DM). Methods Subjects were divided into normal function (NCF) (n=320) CI (n=204) groups based on results Montreal Cognitive Assessment (MoCA) Mini-Mental State Examination (MMSE). determined by logistic regression analysis generalised linear modelling. associations parameters (body...
Background The results of current studies on metabolic-dysfunction associated steatotic liver disease (MASLD)-related diseases, cognition and dementia are inconsistent. This study aimed to elucidate the effects MASLD-related diseases dementia. Methods By using single-nucleotide polymorphisms (SNPs) with different traits NAFLD (chronically elevated serum alanine aminotransferase levels [cALT], imaging-accessed biopsy-proven NAFLD), metabolic dysfunction-associated steatohepatitis, fibrosis...
The aim of this study was to elucidate the relationship between specific body composition and risk Cognitive Impairment (CI) in middle-aged Type 2 Diabetes Mellitus (T2DM) patients.This cross-sectional included 504 hospitalized patients with T2DM from Department Endocrinology Metabolism Tianjin Union Medical Center. Subjects were grouped by sex, cognitive status assessed using Montreal Assessment (MoCA). ability investigated use linear regression analysis. association CI determined logistic...
Accurate estimation of the state charge (SOC) and health (SOH) is crucial for safe reliable operation batteries. Voltage measurement bias highly affects accuracy, especially in Lithium Iron Phosphate (LFP) batteries, which are susceptible due to their flat open-circuit voltage (OCV) curves. This work introduces a bias-compensated algorithm reliably estimate SOC SOH LFP batteries under influence bias. Specifically, estimated using Dual Extended Kalman Filter (DEKF) high-slope range, where...
Abstract A Gram-stain-negative, facultative anaerobic, rod-shaped strain, named S-FG-1 T , was isolated from mud sediment samples collected mangroves in Zinian Town. The novel strains, abled to grow at 0.5–7% NaCl (optimum, 0.5–2%), 10–42°C 28°C) and pH 6–8 6). Phylogenetic analysis based on the 16S rRNA gene sequence indicated that strain a member of genus Photobacterium with high similarity ganghwense FR 1311 (97.91%), arenosum CAU 1568 (97.09%) atrarenae M3-4 (96.18%). polar lipids...
Abstract Background Fat to muscle mass ratio (FMR), a novel index integrating fat and composition, has garnered attention in age-related conditions such as type 2 diabetes mellitus (T2DM) neurodegenerative diseases. Despite this research on the relationship between FMR cognitive impairment (CI) T2DM remains scarce. This study aimed investigate sex-specific association CI elderly patients. Methods A total of 768 (> 60 years) in-patients (356 men 412 women) were recruited from Department...
This study investigated the association of Time In Range (TIR) obtained from Blood Glucose Monitoring (BGM) with Cognitive Impairment (CI) inpatients middle-aged Type 2 Diabetes Mellitus (T2DM) and further explored whether a TIR goal for T2DM in adults > 70% possess protective effect on cognitive function.
Abstract OBJECTIVE This study investigated the association of Time In Range (TIR) obtained from Blood Glucose Monitoring (BGM) with Cognitive Impairment (CI) inpatients Type 2 Diabetes Mellitus (T2DM) and further explored whether a TIR goal for T2DM in adults > 70% possess protective effect on cognitive function. RESEARCH DESIGN AND METHODS A total 274 aged 40–64 years, who underwent seven-point BGM (120 mins pre post meals at bedtime) were recruited this cross-sectional study. was...
An accurate estimation of the state health (SOH) batteries is critical to ensuring safe and reliable operation electric vehicles (EVs). Feature-based machine learning methods have exhibited enormous potential for rapidly precisely monitoring battery status. However, simultaneously using various indicators (HIs) may weaken performance due feature redundancy. Furthermore, ignoring real-world driving behaviors can lead inaccurate results as some features are rarely accessible in practical...