Experimental groups. by Marc-Alexander Oestreich (13961375)

Subjects:

Decreased Incidence of Type 1 Diabetes in Young Finnish Children by Anna Parviainen (9343391)

“…In the middle age group, a significant decrease was observed only among females. …”

Feature tests for proportionality of risks: Min Model (10 top variables). by Haowen Zhou (368727)

Distribution of miRs with a greater than two fold-change. by Stephanie L. Samani (17896610)

Subjects:

Comparison of physiological and perceptual measures of national-level rowing athletes taken during a 10-min submaximal rowing test performed at 95% of 30-min time-trial average pow... by Calvin P. Philp (12095878)

Schematic of training program during a 10-session heat acclimation intervention in national-level rowers. by Calvin P. Philp (12095878)

The daily pattern of water supply head entries of pairs of rats in 10-minutes epochs. by Piotr Popik (292215)

Distribution of pulmonary ventilation assessed by center of ventilation (CoV) presented over the five time points: Induction-SB, MV-5min, MV-30min, MV-late and recovery-SB. by Milena S. Nascimento (14803681)

Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…<div><p>Abstract Background: Coronary artery fistula (CAF) is an abnormal connection that links a coronary artery to a cardiac chamber or another major blood vessel. …”

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

“…The time required for diagnosing ischemia was significantly reduced to 50 min after its onset. The patch is optimally integrated into a stamp-sized band-aid, accompanied by a smartphone app for data visualization and real-time analysis. …”

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

“…The time required for diagnosing ischemia was significantly reduced to 50 min after its onset. The patch is optimally integrated into a stamp-sized band-aid, accompanied by a smartphone app for data visualization and real-time analysis. …”

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

“…The time required for diagnosing ischemia was significantly reduced to 50 min after its onset. The patch is optimally integrated into a stamp-sized band-aid, accompanied by a smartphone app for data visualization and real-time analysis. …”

Table_1_Decreased Risk in the Pancreatic Cancer With History of Hay Fever: A Meta-Analysis.doc by Guannan Wang (2209297)

“…A history of hay fever was associated with a decreased risk of pancreatic cancer (OR, 0.57; 95% CI, 0.50–0.64, P < 0.00001) through fixed effect model.…”

Combustion parameters determined from the TGA curve at 10°C/min (270°C). by Mohammed Aliyu (10024123)

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

Percentage survival at different time intervals compared to control and LD 50 determination and absorbance [OD] at 48 h, 72 h using MTT assay. by Manoj Limbraj Yellurkar (11467219)

Datasheet1_Impact of lockdown on children with type-1 diabetes: returning to the community was associated with a decrease in HbA1c.pdf by Benjamin Morat (17677977)

“…No significant difference was observed between medians of HbA1c_mean and HbA1c_after values (8.37% [7.88; 9.32%] vs. 8.50% [7.70; 9.50%], respectively; p = 0.391). …”

Datasheet2_Impact of lockdown on children with type-1 diabetes: returning to the community was associated with a decrease in HbA1c.pdf by Benjamin Morat (17677977)

“…No significant difference was observed between medians of HbA1c_mean and HbA1c_after values (8.37% [7.88; 9.32%] vs. 8.50% [7.70; 9.50%], respectively; p = 0.391). …”

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)