S1 Data - by Gennaro Boccia (3700765)

“…Retrospectively, less than 10–20% of youth players were subsequently selected for the senior team. Data revealed a skewed birth date distribution in all age groups, and the RAEs magnitude decreased when age increased (i.e., ORs for Q1 vs Q4 was ~ 9 in U16 and ~ 1.7 in senior teams). …”

Estimated type III functional response of <i>Anagyrus lapachosus</i> females at different ages (days) of their average lifespan (1–8 days) considering limited egg production and fe... by María Aguirre (18127551)

Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

<i>vFlip</i> expression largely protects from lethality induced by <i>cFlip</i> deletion. by Barbara Ruder (8379354)

DataSheet_1_Maternal lipid profile during early pregnancy and birth weight: A retrospective study.docx by Si-Meng Zhu (13798660)

“…</p>Results<p>Higher maternal concentrations of total cholesterol (TC), triglyceride (TG), and low-density cholesterol (LDL-c) in early pregnancy were associated with increased birth weight. Ln transformed TG and levels exhibited a positive association with LGA and macrosomia (OR = 1.33, 95% CI: 1.25, 1.42 and OR = 1.37, 95% CI: 1.24, 1.52) and showed a negative relationship with SGA (OR = 0.73, 95% CI: 0.62, 0.85). …”

Morbidity and mortality in Holstein calves from birth to 145 days of age on a large dairy farm in Brazil by V. Gomes (4770210)

“…<div><p>ABSTRACT The present study aimed to investigate the morbidity and mortality associated with the most common diseases during the rearing period of Holstein calves in a high-production dairy farm. The calves (n = 600) were allocated to three groups based on age: G1 (1-7 days, n = 216), G2 (30-40 days, n = 188), and G3 (69-85 days, n = 196). …”

The HMR C-terminus is required for HMR physiological function in <i>D</i>. <i>melanogaster</i>. by Andrea Lukacs (3752956)

Systolic and diastolic blood pressure by age in those with and without hypertension and new vs pre-existing diagnoses. by Sharon E. Cox (7243847)

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Overexpression of <i>RECQL4</i> results in increased RAD51 foci and decreased tail moment. by Thong T. Luong (13833935)

Addition of <i>precA</i> decreases the sensitivity of <i>rarA ruvB</i> cells to DNA damage. by Kanika Jain (2884439)

Age-adjusted incidence rates of aNETs. by Dan Wang (34472)

“…We must note that despite the increased incidence of aNETs, survival rates have improved at different disease stages.…”

The scatter plot of the results with a 1-D polynomial trend line that clearly shows how total time increases with increasing age in healthy controls. by Alessandra Angelucci (13184223)

“…<p>The scatter plot of the results with a 1-D polynomial trend line that clearly shows how total time increases with increasing age in healthy controls.…”

Performance of <i>MH</i>_{<i>EA</i>4<i>OP</i>} vs. <i>H</i>_{<i>EA</i>4<i>OP</i>}. by Almiqdad Elzein (13141038)

Demographic of the study participants, urinary arsenic species and Th17 cells. by Faruque Parvez (13136)

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Association between urinary arsenic species and Th17 cell subset stratified by low and high Vitamin D levels. by Faruque Parvez (13136)

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Association between urinary arsenic species and Th-17 cells and IL-17A cytokine production for all participants and by sex and smoking status. by Faruque Parvez (13136)

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Demographic of the study participants, urinary arsenic species and IL-17A cytokine. by Faruque Parvez (13136)

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Association between urinary arsenic species and IL-17A cytokine production stratified by low and high Vitamin D levels. by Faruque Parvez (13136)

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Image_1_Regional cortical perfusion increases induced by a 6-month endurance training in young sedentary adults.TIFF by Neeraj Upadhyay (13217784)

“…<p>Physical inactivity is documented as a health risk factor for chronic diseases, accelerated aging, and cognitive impairment. …”

Table_1_Regional cortical perfusion increases induced by a 6-month endurance training in young sedentary adults.DOCX by Neeraj Upadhyay (13217784)

“…<p>Physical inactivity is documented as a health risk factor for chronic diseases, accelerated aging, and cognitive impairment. …”