Subgroup Analysis of Sleep Duration and Cardiovascular Disease Risk in Type 2 Diabetes Patients. by Zhi Jin (3742471)

Results of redundancy analysis. by Bianhua Zhang (22430652)

“…<div><p>In order to clarify the effects of long-term coal gangue(CG) dump on the surrounding soil bacterial community structure, we selected the CG dump formed during the mining of Tunlan coal mine in Gujiao city, Shanxi province in China as the study area to conduct a comprehensive study, the experimental design included six distinct zones: control soil area with no impaction (NC), undisturbed control sediment area (NL), atmospheric dry and wet deposition area (MC), upstream (MLS), midstream (MLZ) and downstream (MLX) in the leachate flow area (LFA), Using high-throughput sequencing technology and related software analysis, we obtained the following key findings: The heavy metal contents of Cr and Cd were different significantly in MC and NC (p < 0.05),Cr (90.18 mg·kg-1) in MC was higher than that in NC (65.29 mg·kg-1) (p < 0.05), while Cd (0.09 mg·kg-1) was lower than that in NC (0.14 mg·kg-1) (p < 0.05), and there was no significant differences in Cu, Zn, As and Pb between MC and NC (p > 0.05). …”

Supplementary Material for: Splice variant of retinal G-protein-coupled receptor deletion (RGR-d)-mediated dysregulation of autophagy increases the susceptibility to age-related ma... by Guo Y. (2986464)

“…Beclin-1 and LC3II/I expression levels were significantly decreased and that of P62 was elevated in RGR-d cells after PA stimulation. …”

Analysis of the correlation between pharyngeal microbiomics, metabolomics and clinical indicators between OC and HC. by Feng Gao (3548)

Linear regressions of the distance between buoys (km) and the Pearson correlation coefficient for each pairwise buoy combination for 2021 (blue) and 2022 (gray). by Claire Stevens (11127729)

Perioperative IL-6 and sIL-6r dynamics for rs2228145. by Kyle D. Anderson (2296873)

Perioperative IL-6 and sIL-6r dynamics for rs4537545. by Kyle D. Anderson (2296873)

Perioperative IL-6 and sIL-6r dynamics according to rs2069845 allele status. by Kyle D. Anderson (2296873)

Trend of total hospital attendance. by Yaw Nyarko Opoku-Boateng (20477302)

“…Month-on-month, antenatal and out-patient utilization decreased by 21,948.21 and 151,342.40, respectively. …”

Trend of outpatient (OPD) consultations. by Yaw Nyarko Opoku-Boateng (20477302)

“…Month-on-month, antenatal and out-patient utilization decreased by 21,948.21 and 151,342.40, respectively. …”

Variables used for the analysis. by Yaw Nyarko Opoku-Boateng (20477302)

“…Month-on-month, antenatal and out-patient utilization decreased by 21,948.21 and 151,342.40, respectively. …”

Trend of PNC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…Month-on-month, antenatal and out-patient utilization decreased by 21,948.21 and 151,342.40, respectively. …”

Trend of ANC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…Month-on-month, antenatal and out-patient utilization decreased by 21,948.21 and 151,342.40, respectively. …”

Total hospital attendances by specialty. by Yaw Nyarko Opoku-Boateng (20477302)

“…Month-on-month, antenatal and out-patient utilization decreased by 21,948.21 and 151,342.40, respectively. …”

S1 Data - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

S1 Appendix - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

Estimated CDFs for the recovered cases data. by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

S2 Data - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

The infected data of Saudi Arabia for 65 days. by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

The recovered data of Saudi Arabia for 65 days. by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”