Raw data D-trial. by Torsten Schober (20485754)

“…In the context of standardized production, we therefore advocate high-density production systems that increase the proportion of desired inflorescence fractions from upper canopy layers.…”

Three Ca_V3.3 variants left-shift the window current, while the A398V completely abolishes the window current. by Yousra El Ghaleb (22075892)

Fig 4 - by Leena Inkilä (20614460)

WT data of set A398E/V and set M1425V/I pooled for better comparison. by Yousra El Ghaleb (22075892)

Effect of aging on cellular senescence in the mouse kidney. by Lihua Qiu (178071)

Data file without outliers. by Helena Wallin (6103205)

“…At follow-up, the increase in KYN and KYN/TRP was related to a decrease in ExCap in CKD 2–3. After adjusting for GFR, increase in KYN/TRP remained an independent significant predictor of a decline in ExCap in CKD 2–3.…”

Distinct effects on calcium channel activation of <i>CACNA1I</i> disease-associated amino acid substitutions A398E/V and M1425V/I. by Yousra El Ghaleb (22075892)

Craniocaudal impulses of fore- and hindlimbs at three bar heights during take-off. by Leena Inkilä (20614460)

Aging impairs renal mitochondrial function and antioxidant capacity. by Lihua Qiu (178071)

Aging enhances α-SMA expression and collagen accumulation in the kidney. by Lihua Qiu (178071)

Model performance comparison. by Shayla Naznin (13014015)

“…Key metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared, and Mean Absolute Percentage Error (MAPE), were employed to evaluate model performance. …”

Alterations in renal tubular morphology and renal interstitial collagen deposition were observed in aged mice. by Lihua Qiu (178071)

Aging regulates mRNA levels of renal fibrosis-related genes in mice across varying age cohort. by Lihua Qiu (178071)

Box-whisker plots of the relative abundances (%) of coccolithophore species characteristic for the “pseudo-stadial” (PS; 1854.6–1852.8 cm), the interstadial before the YTT eruption... by Jose Dominick Guballa (19739909)

Recruitment flow diagram of the current study. by Somayeh Momenyan (10111603)

“…Predictors of HRQoL included sociodemographic, psychological, medical, and trauma-related factors collected at baseline. We applied generalized additive mixed models to flexibly capture nonlinear changes in HRQoL over time, and piecewise latent growth curve model to analyze distinct linear phases of recovery across defined time intervals.…”

Osteoporosis screening among study participants. by Surakshya Khanal (19949745)

“…Frequencies, percentages, mean, and standard deviation were used to describe the characteristics of participants. …”

S1 Data - by Surakshya Khanal (19949745)

“…Frequencies, percentages, mean, and standard deviation were used to describe the characteristics of participants. …”

Practices towards the prevention of osteoporosis. by Surakshya Khanal (19949745)

“…Frequencies, percentages, mean, and standard deviation were used to describe the characteristics of participants. …”

Source of healthcare information. by Surakshya Khanal (19949745)

“…Frequencies, percentages, mean, and standard deviation were used to describe the characteristics of participants. …”

Individual characteristics of the participants. by Surakshya Khanal (19949745)

“…Frequencies, percentages, mean, and standard deviation were used to describe the characteristics of participants. …”