Symbolic self completion as mediator between nicotine dependence and quit intention: a nationally representative survey by Berna Tarı Kasnakoğlu (19728602)

“…Mediation analysis was conducted using the Hayes model #4 to investigate the degree to which (symbolic) smoking was linked to dependence and quit intention.</p> <p>Based on regression analyses, nicotine dependence was found to decrease the intention to quit (coeff = −.039**), while an absence of symbolic self-completion was found to increase quit intention (coeff = .6118**). …”

Descriptive statistics. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Causal paths for FFM. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Recruitment and screening flowchart. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

STROBE flowchart. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Factors influencing FFM at Q1. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. …”

Data_Sheet_1_Deregulation of mTORC1-TFEB axis in human iPSC model of GBA1-associated Parkinson’s disease.docx by Fahad Mubariz (16010003)

“…Moreover, treatment with the lipid substrate reducing compound Genz-123346, decreased mTORC1 activity and increased TFEB expression in the mutant neurons, suggesting that mTORC1-TFEB alterations are linked to the lipid substrate accumulation. …”

Table 1_Characterization of glycogen-related glycoside hydrolase glgX and glgB from Klebsiella pneumoniae and their roles in biofilm formation and virulence.docx by Xinyue Liu (170148)

“…The deletion of the glgB gene resulted in a decrease in the growth rate of the bacteria and defected glycogen synthesis. …”

Data Sheet 1_Investigating the impact of microcalcification size and volume on collagenous matrix and tissue mechanics using a tissue-engineered atherosclerotic cap model.xlsx by Imke L. Jansen (22089944)

“…To mimic human microcalcification size and volume, hydroxyapatite microparticles, in two size ranges (diameter up to 5 μm or up to 50 μm) and two volumes (1 v/v% and 5 v/v%) were incorporated homogenously throughout the tissue-engineered model. 5 v/v% of particles caused a significant lowering of the mechanical properties as was shown by a decrease in stiffness and ultimate tensile stress under uniaxial tensile loading. …”

Data Sheet 2_Investigating the impact of microcalcification size and volume on collagenous matrix and tissue mechanics using a tissue-engineered atherosclerotic cap model.docx by Imke L. Jansen (22089944)

“…To mimic human microcalcification size and volume, hydroxyapatite microparticles, in two size ranges (diameter up to 5 μm or up to 50 μm) and two volumes (1 v/v% and 5 v/v%) were incorporated homogenously throughout the tissue-engineered model. 5 v/v% of particles caused a significant lowering of the mechanical properties as was shown by a decrease in stiffness and ultimate tensile stress under uniaxial tensile loading. …”

Supplementary file 1_Active fungal infections alter the respiratory microbiome profiles of Mayo Clinic Arizona patients.zip by Daniel R. Kollath (18134608)

“…This is the first study to examine how these fungal pathogens affect the lung microbial community of humans.</p>…”

Drugs causing prostate-specific antigen changes: the food and drug administration adverse event reporting system combined with Mendelian randomization analysis by Wei Zhang (405)

“…<p>Prostate cancer is one of the most common malignancies in men worldwide, and prostate-specific antigen (PSA) screening is widely used for its early detection. Drug use may affect PSA levels, but the effect for most drugs is currently unknown.…”

Image 1_Mitochondrial DNA oxidation and content in different metabolic phenotypes of women with polycystic ovary syndrome.jpeg by Mailén Rojo (10802556)

“…Stratifying these patients by metabolic profile, revealed a progressive decline in mtDNA content from the normal-weight control group to the MHO-PCOS and MUO-PCOS groups, suggesting that lower mtDNA content is linked to obesity and worse metabolic profile. However, mtDNA oxidation levels did not differ significantly among these groups. …”

Table 1_Proteomic insights into COPD pathogenesis and therapeutic targets: a causal analysis of circulating proteins.docx by Min Luo (258201)

“…Western blot analysis validated these findings in plasma samples, showing significantly increased expression of MMP12 and ASM, and decreased expression of NPNT and SNX1 in COPD patients compared to healthy controls, while KLC1 showed no significant difference. …”

Supplementary file 1_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Single-factor comparison, multiple linear regression and logistic regression implied that gender, age, hypertension level, height, dietary habit, physical-exercise duration, physical-exercise history, and smoking history could be closely linked with cognitive decline. …”

Supplementary file 4_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Single-factor comparison, multiple linear regression and logistic regression implied that gender, age, hypertension level, height, dietary habit, physical-exercise duration, physical-exercise history, and smoking history could be closely linked with cognitive decline. …”

Supplementary file 5_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Single-factor comparison, multiple linear regression and logistic regression implied that gender, age, hypertension level, height, dietary habit, physical-exercise duration, physical-exercise history, and smoking history could be closely linked with cognitive decline. …”