This document lists four different types of artworks: chalk drawings, sand castles, mosaic sculptures in Montreal, and ice sculptures. It provides a brief listing of different mediums and locations for creative works without much additional context.
This doctoral dissertation discusses molecular dynamics simulations of polyglutamine and insulin aggregation. Two projects are described. The first uses replica-exchange molecular dynamics to simulate one and two polyglutamine peptides. It finds the peptides form helical or coil structures at long distances but β-sheets at short distances. The second simulates insulin and binding peptides LVEALYL and RGFFYT. It discovers both peptides aggregate into β-sheets and bind strongly to insulin.
This document compares the accuracy of genomic selection prediction methods (BLUP and Bayesian) under different scenarios of marker density and number of quantitative trait loci (QTL). It simulated genomes with varying numbers of markers (100, 200, 500) and QTLs (4, 10, 20, 40) and different heritability levels (5%, 10%, 25%). The results showed that the Bayesian method had higher accuracy than BLUP in all scenarios. Accuracy generally increased with more markers and decreased slightly with more QTLs.
This document lists four different types of artworks: chalk drawings, sand castles, mosaic sculptures in Montreal, and ice sculptures. It provides a brief listing of different mediums and locations for creative works without much additional context.
This doctoral dissertation discusses molecular dynamics simulations of polyglutamine and insulin aggregation. Two projects are described. The first uses replica-exchange molecular dynamics to simulate one and two polyglutamine peptides. It finds the peptides form helical or coil structures at long distances but β-sheets at short distances. The second simulates insulin and binding peptides LVEALYL and RGFFYT. It discovers both peptides aggregate into β-sheets and bind strongly to insulin.
This document compares the accuracy of genomic selection prediction methods (BLUP and Bayesian) under different scenarios of marker density and number of quantitative trait loci (QTL). It simulated genomes with varying numbers of markers (100, 200, 500) and QTLs (4, 10, 20, 40) and different heritability levels (5%, 10%, 25%). The results showed that the Bayesian method had higher accuracy than BLUP in all scenarios. Accuracy generally increased with more markers and decreased slightly with more QTLs.
A document from February 15, 2015 discusses fresh produce. It mentions that 20 grams of 20 different types of fresh produce contain at least 0.9 grams of fiber. A photo shows that 23 grams of a particular produce contains 23-25 grams of fiber. The document states that eating 23-25 grams of this produce provides 0.5-0.6 grams of fiber and has health benefits such as lowering the risk of diseases if consumed at 2500-5000 calories per minute.
The document discusses mathematical reserve in the Greek insurance market. It defines mathematical reserve as the capital accumulated from premiums paid by the insured over the life of the insurance contract. Mathematical reserve increases over time as more premiums are paid in. It can be used as savings to provide lifelong pension payments to the insured or to cover costs like inheritance tax. Insurance companies in Greece calculate mathematical reserve using retrospective and prospective methods to determine future liabilities and payments in order to ensure sufficient funds are available.
A document from February 15, 2015 discusses fresh produce. It mentions that 20 grams of 20 different types of fresh produce contain at least 0.9 grams of fiber. A photo shows that 23 grams of a particular produce contains 23-25 grams of fiber. The document states that eating 23-25 grams of this produce provides 0.5-0.6 grams of fiber and has health benefits such as lowering the risk of diseases if consumed at 2500-5000 calories per minute.
The document discusses mathematical reserve in the Greek insurance market. It defines mathematical reserve as the capital accumulated from premiums paid by the insured over the life of the insurance contract. Mathematical reserve increases over time as more premiums are paid in. It can be used as savings to provide lifelong pension payments to the insured or to cover costs like inheritance tax. Insurance companies in Greece calculate mathematical reserve using retrospective and prospective methods to determine future liabilities and payments in order to ensure sufficient funds are available.