Influence of Age on Ocular Biomechanical Properties in a Canine Glaucoma Model with <i>ADAMTS10</i> Mutation by Joel R. Palko (2819701)

“…Biomechanical data was acquired from <i>ADAMTS10-</i>mutant dogs (n = 10, 21 to 131 months) and normal dogs (n = 5, 69 to 113 months). Infusion testing was first performed in the whole globes to measure ocular rigidity. …”

Metformin induces significant reduction of body weight, total cholesterol and LDL levels in the elderly – A meta-analysis by Margit Solymár (3356882)

“…Both total cholesterol (-0.184 mmol/L, p<0.001) and LDL cholesterol levels (-0.182 mmol/L, p<0.001) decreased upon metformin-treatment.</p><p>Conclusions</p><p>Our meta-analysis of RCTs showed a small reduction of body weight together with slight improvement of the blood lipid profile in patients over 60 years. …”

Supplementary Material for: Corpus Callosotomy with the CO₂ Laser Suction Device: A Technical Note by Falowski S. (4131547)

Experimental analysis of additively manufactured thin-walled heat-treated circular tubes with slits using AlSi10Mg alloy by quasi-static axial crushing test by Mohamed A.S.

“…The bulk of the tested tubes exhibited a crushing force efficiency greater than 0.8. Overall, the presence of slits with length 15 mm and width 5 mm resulted in lower and smoother crushing forces than the straight tubes and, therefore, greater crushing force efficiency, validating them as crashworthy structures.…”
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Invertebrate herbivory accelerates shift towards forbs caused by warming in a sedge-dominated alpine meadow by Rui Cao (12291068)

Altered actions of memantine and NMDA-induced currents in a new Grid2-deleted mouse line by Hiroshi Takemori (662679)

Image_3_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.TIF by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_1_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_3_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_7_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Image_1_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.TIF by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_2_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_4_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_6_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Image_2_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.TIF by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Synthesis and characterisation of Co2+-incorporated ZnO nanoparticles prepared through a sol-gel method by Ba-Abbad, Muneer M.

“…A hexagonal wurtzite-phase structure of Co2+-doped ZnO was observed, with a slight decrease in particle size as the Co2+ doping concentration increased. …”
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DataSheet_1_Causality between sarcopenia and diabetic nephropathy: a bidirectional Mendelian randomization study.csv by Linan Ren (5561837)

“…According to reverse MR results, grip strength decreased as DN progressed (IVW: right β = 0.003, 95% CI: - 0.021 to - 0.009, P = 5.116e-06; left β = 0.003, 95% CI: - 0.024 to - 0.012, P = 7.035e-09). …”

datasheet1_Unraveling the Contribution of Fluid Therapy to the Development of Augmented Renal Clearance in a Piglet Model.pdf by Laura Dhondt (10032890)

“…In addition, the hydrophilic antibiotic amikacin (7.5 mg/kg BW) was administered. Following this baseline measurement, the treatment group received fluid therapy as a constant rate infusion of 0.9% saline at 6 mL/kg/h over 36 h. …”

DataSheet_6_Causality between sarcopenia and diabetic nephropathy: a bidirectional Mendelian randomization study.csv by Linan Ren (5561837)

“…According to reverse MR results, grip strength decreased as DN progressed (IVW: right β = 0.003, 95% CI: - 0.021 to - 0.009, P = 5.116e-06; left β = 0.003, 95% CI: - 0.024 to - 0.012, P = 7.035e-09). …”

Image_1_A Longitudinal Research on the Distribution and Prognosis of Intracerebral Hemorrhage During the COVID-19 Pandemic.JPEG by Gangqiang Lin (12428766)

“…</p>Conclusion<p>During the lockdown period, the COVID-19 pandemic caused a decrease in the admission rates and severe conditions at admission due to strict traffic constraints for infection control. …”