Descriptive statistics. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Time matched metabolic cost. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Research design. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Time matched physiological strain. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Physiological strain. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Diagram of exercise intervention progression. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Perceived exertion. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Metabolic cost. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Changes in MMSE scores by age group. by Juneyoung Heo (20161057)

“…</p><p>Results</p><p>Among patients with K–L grade 4, the decrease in the Mini-Mental State Examination score in patients who underwent surgery was significantly lower than that in other patients who received conservative treatment only.…”

Supplementary Material for: Adjunctive active vitamin D (AVD) decreases kidney function during treatment of secondary hyperparathyroidism (SHPT) with extended-release calcifediol (... by figshare admin karger (2628495)

Image 2_Changes in the gut microbiome due to diarrhea in neonatal Korean indigenous calves.jpeg by Ji-Yeong Ku (20832209)

“…However, Proteobacteria increased and Bacteroidetes and Actinobacteria decreased in calves with diarrhea. In addition, calves with diarrhea showed a significant decrease in the diversity of the gut microbiome, especially for anaerobic microorganisms Faecalibacterium prausnitzii, Gemmiger formicilis, and Collinsella aerofaciens. …”

Image 1_Changes in the gut microbiome due to diarrhea in neonatal Korean indigenous calves.jpeg by Ji-Yeong Ku (20832209)

“…However, Proteobacteria increased and Bacteroidetes and Actinobacteria decreased in calves with diarrhea. In addition, calves with diarrhea showed a significant decrease in the diversity of the gut microbiome, especially for anaerobic microorganisms Faecalibacterium prausnitzii, Gemmiger formicilis, and Collinsella aerofaciens. …”

Supplementary file 1_Monitoring the dual-season hydrological dynamics of the Pong reservoir in Himachal Pradesh, India.docx by Rajesh Sarda (13162317)

“…The study employed a spatial linear trend modelling approach to identify trends in relative water depth, revealing a decreasing trend and a quantifiable reduction in the reservoir’s depth for both seasons. …”

Data Sheet 1_Non-linear association between the dietary index for gut microbiota and the atherogenic index of plasma: insights from a cross-sectional study.docx by Tian-Ding Liu (21659201)

“…Restricted cubic spline (RCS) analysis identified a significant non-linear dose-response relationship (P for non-linearity = 0.018) with a threshold at DI-GM = 3.467. …”

Baseline characteristics. by Daniela Sánchez-Santiesteban (21192342)

“…In Colombia, despite a healthcare system covering 97% of the population, socioeconomic disparities persist. Lower income levels are associated with decreased survival, potentially due to delays in diagnosis or treatment and a higher probability of advanced staging at diagnosis, These inequities persist even among relatively advantaged populations, such as formal employee who are assumed to have fewer barriers to accessing healthcare services compared to informal workers.…”

Plots summarising the fixed effect coefficient estimates from fitting the generalised linear mixed effects models to contact matrices calculated at a resolution of 10 kb. by Tze Yee Lim (22057822)

The basic characteristics of the included studies. by Junyin Pan (20700411)

Subjects:

Common definitions and criteria for metabolic syndrome. by Junyin Pan (20700411)

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Assessment of study bias in the included research. by Junyin Pan (20700411)

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Summary of subgroup analysis results. by Junyin Pan (20700411)

Subjects: