DataSheet1_A novel optimization method of carbon reduction strategies implementation for industrial parks.docx

The effects of various energy conservation and carbon reduction (ECCR) strategies can differ significantly despite equal investment. Given limited amount of capital expenditure, managers and planners of industrial parks must carefully select from different ECCR strategies and implementation technologies to maximize investment returns. This study establishes mathematical models for four ECCR strategies: forestry carbon sequestration (FCS), carbon capture and utilization (CCU), waste heat recovery (WHR), and photovoltaic (PV). A universal ECCR planning optimization model is constructed to maximize annual economic benefits or carbon emission reduction. Using an industrial park in southern China as a case study, genetic algorithms are utilized to solve the model and validate its feasibility. The study analyzes three key parameters: capital expenditure caps, carbon trading price in the Emission Trading Scheme, and transportation distance of captured CO2 products for sensitivity. The results demonstrate considerable economic benefits of the CCU strategy when demand matches appropriately. However, in cases with limited capital expenditure, implementing small-scale FCS strategies in industrial parks is not advisable from both an economic and environmental perspective.</p

Additional file 3: of Chronic hepatitis B virus infection and risk of chronic kidney disease: a population-based prospective cohort study of 0.5 million Chinese adults

Text. Members of the China Kadoorie Biobank collaborative group. (DOCX 17 kb

Characteristics (mean±SD or %) of study variables by gender groups.

<p>^a: <i>P</i>-values for gender difference were adjusted for age and survey site;</p><p>^b: Central obesity was defined as WHtR≥0.5.</p><p>MET-hours/day: metabolic equivalent hours per day</p><p>WHtR: waist circumference/height ratio</p><p>Characteristics (mean±SD or %) of study variables by gender groups.</p

Unadjusted means±SD of adiposity measures by gender and smoking groups.

<p>WC: waist circumference</p><p>WHtR: waist circumference/height ratio</p><p>^a: difference between nonsmokers and regular smokers, adjusted for age and survey sites.</p><p>Gender differences in means were all significant (P<0.001), adjusted for age and survey sites.</p><p>Unadjusted means±SD of adiposity measures by gender and smoking groups.</p

Standardized regression coefficients of regular smokers for WHtR (A) and WC (B) by 18 BMI groups in males and females: Standardized regression coefficients greater than 0.026 for male smokers and 0.015 for female smokers were significant (p<0.05).

<p>Standardized regression coefficients of regular smokers for WHtR (A) and WC (B) by 18 BMI groups in males and females: Standardized regression coefficients greater than 0.026 for male smokers and 0.015 for female smokers were significant (p<0.05).</p

Additional file 1: of Chronic hepatitis B virus infection and risk of chronic kidney disease: a population-based prospective cohort study of 0.5 million Chinese adults

Table. HRs (95% CIs) for incident chronic kidney disease according to HBsAg status and presence of chronic hepatitis or cirrhosis and its duration for 469,459 participants. (DOCX 17 kb

Prevalence of central obesity in the total sample (BMI = 18.5–45.0) (A) and normal-weight adults (BMI = 18.5–23.9) (B).

<p>Prevalence of central obesity in the total sample (BMI = 18.5–45.0) (A) and normal-weight adults (BMI = 18.5–23.9) (B).</p

Prevalence of central obesity by 18 BMI subgroups in males and females.

<p>Prevalence of central obesity by 18 BMI subgroups in males and females.</p

Additional file 1 of Duration-dependent impact of cardiometabolic diseases and multimorbidity on all-cause and cause-specific mortality: a prospective cohort study of 0.5 million participants

Additional file 1. Additional Table S1 and Figures S1–S18

Adjusted hazard ratios for major occlusive vascular disease by number of cardiovascular risk factors at baseline among individuals with diabetes.

<p>Stratified by age, sex, and study area and adjusted for education and alcohol consumption. Cardiovascular risk factors: hypertension (self-reported hypertension, mean SBP ≥ 140 mm Hg or diastolic blood pressure ≥ 90 mm Hg), overweight or obesity (BMI ≥ 25 kg/m²), ever regular smoking, and physical inactivity (<10 metabolic equivalent of task hours/day). Squares represent the HR, with area inversely proportional to the variance of the log HR. Horizontal lines represent the corresponding 95% confidence intervals.</p