The effects of consumption inequality on SWB. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Combination of intraperitoneal and intratumoral administration of vitamin D3 is more effective in reducing the EAC tumor volume compared to just i.p. administration: by Vidya G. Bettada (22208808)

“…Administration of cisplatin (2.5 mg/Kg) and vitamin D3 (125 µg/Kg) significantly decreased the vessel density (CD31) compared to the tumor control group.…”

Treatment of cancer cells with vitamin D3 induced death <i>a.</i> by Vidya G. Bettada (22208808)

S1 File - by Ingmar Lundquist (46422)

“…Culturing at high glucose increased both nNOS and iNOS activities inducing a marked decrease in GSIS in a following short-term incubation at high glucose. …”

Care quality. by Youssef Hbid (18803761)

“…Stroke multidisciplinary access increased during the first lockdown but decreased in subsequent periods. …”

Outcomes at discharge. by Youssef Hbid (18803761)

“…Stroke multidisciplinary access increased during the first lockdown but decreased in subsequent periods. …”

Patient characteristics. by Youssef Hbid (18803761)

“…Stroke multidisciplinary access increased during the first lockdown but decreased in subsequent periods. …”

Consecutive time points of data collection. by Martin Matzka (2636344)

“…Effect sizes expectedly decreased over time. Physical quality of life remained relatively constant over time and was the only outcome for which social integration on admission was not a significant prognostic factor.…”

Flow chart of study sample. by Martin Matzka (2636344)

“…Effect sizes expectedly decreased over time. Physical quality of life remained relatively constant over time and was the only outcome for which social integration on admission was not a significant prognostic factor.…”

Changes in volume, mass, and end-diastolic strain during experimental MR in dogs. by Johane H. Bracamonte (12883844)

Expression of Caspase-3 in HCT 116 and Hep 3B: <i>2A. and 2B.</i> by Vidya G. Bettada (22208808)

Treatment with vitamin D3 reduced the viability of cancer cell lines: <i>1A & 1B.</i> by Vidya G. Bettada (22208808)

“…Human and rat glioblastoma cell lines U-87 MG and C6, respectively; which were exposed to vitamin D3 demonstrated a statistically significant reduction in viable cells with increasing time and treatment concentration. 1H. …”

Data Sheet 1_Pregnancy hormones increase cardiac capillary density via the PGC-1α/ERRα/VEGF pathway in cardiomyocytes.docx by Michael Hesse (439701)

“…Background<p>Pregnancy significantly affects the maternal cardiovascular system, with physiological adaptations characterized by cardiac hypertrophy and increased capillarization. …”

Effects of receptor blockers on VO-induced hypertrophy in published experiments and the calibrated model. by Johane H. Bracamonte (12883844)

“…<p>a) Simulations of β blockers (βB) at both early and late stages of VO, simulations (boxplots) were equally likely to predict increases or decreases, with no net effect on average. …”

Vitamin D3, but not the Cisplatin, could moderately reduce STZ-induced hyperglycemia in mice (a) Schematic representation of experimental protocol followed in the study: After accl... by Vidya G. Bettada (22208808)

“…The data showed a significant increase in fasting blood glucose (FBG) beginning from day 6. …”

ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Location of the study area. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Random Forest structure with cross-validation. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Land use change from 1990 to 2020. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Geographic data. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”