Network resistance. by Jakub Köry (17980273)

Analysing perfusion response. by Jakub Köry (17980273)

DataSheet1_Long-term change of the eruption activities of Sakurajima volcano, Japan, inferred from the fallout tephra deposits.PDF by Ayumu Nishihara (14173077)

“…Among them, Stage 2a (13–8 ka) produced the largest volume of tephra fallout deposits, suggesting that Sakurajima peaked in magma discharge during Stage 2a (2.9 km³/kyr) and then decreased rapidly toward Stage 2b (8–4.8 ka; 0.07 km³/kyr). …”

DataSheet3_Long-term change of the eruption activities of Sakurajima volcano, Japan, inferred from the fallout tephra deposits.PDF by Ayumu Nishihara (14173077)

“…Among them, Stage 2a (13–8 ka) produced the largest volume of tephra fallout deposits, suggesting that Sakurajima peaked in magma discharge during Stage 2a (2.9 km³/kyr) and then decreased rapidly toward Stage 2b (8–4.8 ka; 0.07 km³/kyr). …”

Table1_Long-term change of the eruption activities of Sakurajima volcano, Japan, inferred from the fallout tephra deposits.XLSX by Ayumu Nishihara (14173077)

“…Among them, Stage 2a (13–8 ka) produced the largest volume of tephra fallout deposits, suggesting that Sakurajima peaked in magma discharge during Stage 2a (2.9 km³/kyr) and then decreased rapidly toward Stage 2b (8–4.8 ka; 0.07 km³/kyr). …”

DataSheet2_Long-term change of the eruption activities of Sakurajima volcano, Japan, inferred from the fallout tephra deposits.PDF by Ayumu Nishihara (14173077)

“…Among them, Stage 2a (13–8 ka) produced the largest volume of tephra fallout deposits, suggesting that Sakurajima peaked in magma discharge during Stage 2a (2.9 km³/kyr) and then decreased rapidly toward Stage 2b (8–4.8 ka; 0.07 km³/kyr). …”

Scatterplot of Δ_<i>p</i> in MGI and BioVU when using the first available measure rather than the mean measurement in a GWAS of Cholesterol level. by Jeffery A. Goldstein (9629170)

Sampling mutant’s fitness from the Gaussian. by Nikhil Sharma (571073)

“…(C) We recover the uniform mutant fitness distribution case for very large <i>σ</i>, here <i>σ</i> = 10. …”

Recessive Genome-wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes by Mark J. O’Connor (512930)

Table_1_Burden of foodborne disease due to bacterial hazards associated with beef, dairy, poultry meat, and vegetables in Ethiopia and Burkina Faso, 2017.DOCX by Arie H. Havelaar (8710713)

Table_2_Burden of foodborne disease due to bacterial hazards associated with beef, dairy, poultry meat, and vegetables in Ethiopia and Burkina Faso, 2017.XLSX by Arie H. Havelaar (8710713)

Table_4_Burden of foodborne disease due to bacterial hazards associated with beef, dairy, poultry meat, and vegetables in Ethiopia and Burkina Faso, 2017.DOCX by Arie H. Havelaar (8710713)

Table_3_Burden of foodborne disease due to bacterial hazards associated with beef, dairy, poultry meat, and vegetables in Ethiopia and Burkina Faso, 2017.XLSX by Arie H. Havelaar (8710713)

Changing epidemiology of cirrhosis from 2010 to 2019: results from the Global Burden Disease study 2019 by Shiyu Xiao (8147688)

“…Regarding the aetiology of cirrhosis, hepatitis C accounted for the largest proportion of cirrhosis-related incidence (26.9%), death (26.8%) and DALYs (26.3%); however, non-alcoholic fatty liver disease (NAFLD) exhibited a rapidly growing cause of incident cirrhosis (+26.7%), cirrhosis-related death (+25.1%), and DALYs (+21.0%) worldwide during this period. …”