Table_1_NOS3 Polymorphisms Can Influence the Effect of Multicomponent Training on Blood Pressure, Nitrite Concentration and Physical Fitness in Prehypertensive and Hypertensive Old... by Átila Alexandre Trapé (5870984)

“…At positions −786T > C and Glu298Asp, only the ancestral genotypes showed a decrease in diastolic BP (Δ% = −8.1, and Δ% = −6.5, respectively) and an increase on nitrite (Δ% = 19.1, and Δ% = 24.1, respectively) in the hypertensive group. …”

Table_6_Environmental Factors Variably Impact Tea Secondary Metabolites in the Context of Climate Change.docx by Selena Ahmed (640493)

“…Findings provide evidence that shifts in seasonality, water stress, geography, light factors, altitude, herbivory and microbes, temperature, and soil factors that are linked to climate change can result in both increases and decreases up to 50% in secondary metabolites. A gap was found regarding evidence on the direct effects of carbon dioxide on tea quality, highlighting a critical research area for future study. …”

Table 2_Linkage of jockey falls and injuries with racehorse injuries and fatalities in Thoroughbred flat racing in Victoria, Australia.docx by Ashleigh V. Morrice-West (17273977)

“…There was a decrease in racehorse MSI and jockey falls over the study period but no change in racehorse fatality or jockey injury incidence. …”

Table_4_Environmental Factors Variably Impact Tea Secondary Metabolites in the Context of Climate Change.docx by Selena Ahmed (640493)

“…Findings provide evidence that shifts in seasonality, water stress, geography, light factors, altitude, herbivory and microbes, temperature, and soil factors that are linked to climate change can result in both increases and decreases up to 50% in secondary metabolites. A gap was found regarding evidence on the direct effects of carbon dioxide on tea quality, highlighting a critical research area for future study. …”

Data_Sheet_1_Systematic assessment of clinical and bacteriological markers for tuberculosis reveals discordance and inaccuracy of symptom-based diagnosis for treatment response mon... by Bariki Mtafya (349098)

“…A decrease in TB-MBLA positivity reflected a fall in bacillary load, 5.7 ± 1.3- at baseline to 0.30 ± 1.0- log₁₀ eCFU/ml at month 6, and closer to cough resolution than other bacteriological measures, accounting for the only one bacteriologically positive case out of seven still coughing at month 6. …”

Image_1_Environmental Factors Variably Impact Tea Secondary Metabolites in the Context of Climate Change.pdf by Selena Ahmed (640493)

“…Findings provide evidence that shifts in seasonality, water stress, geography, light factors, altitude, herbivory and microbes, temperature, and soil factors that are linked to climate change can result in both increases and decreases up to 50% in secondary metabolites. A gap was found regarding evidence on the direct effects of carbon dioxide on tea quality, highlighting a critical research area for future study. …”

Table_3_The Effect of Clostridium butyricum on Gut Microbiota, Immune Response and Intestinal Barrier Function During the Development of Necrotic Enteritis in Chickens.DOCX by Ting Huang (190932)

“…At day 20, the chickens were divided into four groups: C. perfringens challenged and unchallenged chickens with and without C. butyricum supplementation. All groups were fed a basal diet for 13 days and thereafter a basal diet with 50% fishmeal from day 14 to 24. …”

Ribose-cysteine protects against the development of atherosclerosis in apoE-deficient mice by Tanjina Kader (3540920)

“…Ribose-cysteine treatment showed a significant decrease in total and low density lipoprotein (LDL) cholesterol (<i>p</i><0.05) with no effect on other plasma lipids with the LDL reduction likely through upregulation of scavenger receptor-B1 (SR-B1). …”

Table_2_The Effect of Clostridium butyricum on Gut Microbiota, Immune Response and Intestinal Barrier Function During the Development of Necrotic Enteritis in Chickens.DOCX by Ting Huang (190932)

“…At day 20, the chickens were divided into four groups: C. perfringens challenged and unchallenged chickens with and without C. butyricum supplementation. All groups were fed a basal diet for 13 days and thereafter a basal diet with 50% fishmeal from day 14 to 24. …”

Table 1_Linkage of jockey falls and injuries with racehorse injuries and fatalities in Thoroughbred flat racing in Victoria, Australia.docx by Ashleigh V. Morrice-West (17273977)

“…There was a decrease in racehorse MSI and jockey falls over the study period but no change in racehorse fatality or jockey injury incidence. …”

Genome-wide CRISPRi screen to reveal proteins and pathways impacting PF8503 toxicity in K562 cells. by Nadège Liaud (6470615)

“…<p>(A) Overview of the CRISPRi experiment, carried out using K562 cell lines expressing dCas-KRAB and the hCRISPRi-v2 library. …”

Upper urinary tract stone compositions: the role of age and gender by Shu Wang (180520)

“…Prevalence of UA stones increased while that of infection stones decreased with aging in both genders. Conclusions: Age and sex had a strong association with distribution of stone compositions in this Chinese cohort.…”

Image_1_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_6_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_5_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_12_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_7_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_3_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_11_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”

Image_4_Prostate cancer epidemiology and prognostic factors in the United States.tif by Saimaitikari Abudoubari (16893914)

“…Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). …”