Hypothetical versus random connectomes. by Jan Willem Koten (17743224)

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Thresholds and group reproducibility. by Jan Willem Koten (17743224)

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Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

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Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Relative quantification of <i>mip</i> transcript levels in different developmental stages (A) and tissues (B) of brown planthopper. by Yi-Jie Zhang (713506)

Average wellness for matchday, MD by Ivan Baptista (5278874)

“…<div><p>Background</p><p>Exposure to match loads significantly affects physiological and psychological indicators and, consequently, players’ wellness. …”

Volcano plot on differential expression. by Bingshuo Shi (21485387)

“…The findings revealed that 5558 genes in total were significantly altered during diapause, with pyruvate kinase (PK), trehalose synthase (TPS), superoxide dismutase (SOD), citrate synthase (CS), and 20-hydroxyecdysone (20E) showing significant decreases. …”

Sleep quality of respondents (n = 259). by Isha Aryal (22582068)

“…Excessive use of screen devices has resulted in decreased sleep and had a negative impact on mental health of adolescents. …”

Mental health status of respondents (n = 259). by Isha Aryal (22582068)

“…Excessive use of screen devices has resulted in decreased sleep and had a negative impact on mental health of adolescents. …”

The complex interplay between SGLT-2is, RAAS, and glucose metabolism in type 2 diabetes mellitus patients. by Ningning Wang (560944)

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Time Course of the RAAS. by Ningning Wang (560944)

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Effects of SGLT-2is during the time course. by Ningning Wang (560944)

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Changes of physical and biochemical indicators from baseline and difference between DKD and non-DKD patients. by Ningning Wang (560944)

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Baseline characteristics between DKD and non-DKD patients. by Ningning Wang (560944)

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Flow diagram of patient recruitment. by Ningning Wang (560944)

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Spearman correlation analysis of the RAAS and glucose metabolism indicators before and after treatment in DKD and non-DKD patients. by Ningning Wang (560944)

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Multiple linear regression analysis of the RAAS and glucose metabolism indicators before and after treatment in DKD and non-DKD patients. by Ningning Wang (560944)

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