Data set for the analysis. by Tibor M. Szikszay (14439419)

Average Gait Speed (A), Cadence (B), Step Length (C), and Walk Ratio (D) across Terrains; Violin plots with individual participant data of A) gait speed, B) cadence, C) average ste... by Benjamin S. Killen (22766029)

Target scenario setting. by Lei Yao (75933)

“…The results show that from 1990 to 2020, Bole was mainly dominated by grassland ecological land (GEL) and other ecological land (OEL), accounting for a total proportion of 69.51%, with a large increase in production and living land area; the average value of landscape ecological risk is decreasing, and the landscape ecological security of Bole is developing towards benignity; the area of highly coupled coordination zone is decreasing continuously, while that of basic coordination zone and moderate coordination zone is increasing continuously. …”

Risk-taking behavior identified by the BART decreases after acclimatization. by Erica C. Heinrich (6832055)

Algorithm operation steps. by Junyan Wang (4738518)

Determinants of enteric infections among patients suffering from acute community-acquired diarrhea in two Lebanese tertiary health care settings according to sociodemographic and p... by Marwan Osman (736232)

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Force and displacement in sandstone variable lower limit step loading. by Tong Zhuang (17847113)

The trend of patient characteristics, risk factors, and risk scores. by Ayako Shoji (78037)

<i>PAB1</i> gene deletion significantly decrease mRNA and protein levels of many translation- and RNA binding-related genes. by Kotchaphorn Mangkalaphiban (9767180)

Overview of pipeline steps and study design. by Alireza Talesh Jafadideh (14227404)

Data Set. by Yang Li (7082)

The effect of the use of a decision aid with individual risk estimation on the mode of delivery after a caesarean section: A prospective cohort study by Emy Vankan (7435055)

“…We hypothesize that counselling with the DA does not decrease VBAC rates. In addition, we aimed to study the effects on unplanned CS rate, patient involvement in decision-making and elective repeat CS rates.…”

Malaria prevalence over the years is presented by age (Fig 3A), sex (Fig 3B), history of fever (Fig 3C), geographical zones (Fig 3D), ITN use (Fig 3E), and elevation (Fig 3F). by Frank Chacky (3446654)

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Crude and adjusted odds ratios of malaria prevalence in school children using multilevel mixed-effect logistic regression model in mainland Tanzania, 2015–2023. by Frank Chacky (3446654)

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Socio-demographic characteristics of the survey participants 2015–2023. by Frank Chacky (3446654)

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A map of Tanzania indicating surveyed schools along with regional and council boundaries was created. by Frank Chacky (3446654)

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Malaria infection prevalence across different age groups and survey years is presented. by Frank Chacky (3446654)

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S1 Fig - by Frank Chacky (3446654)

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Flow diagram of participant selection. by Prajwal Paudel (7359209)

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Bivariate association of characteristics of mothers (<34 weeks POG) who received and did not receive ACS. by Prajwal Paudel (7359209)

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