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We present a new software framework for Markov chain Monte Carlo sampling for simulation, prediction, and inference of protein structure. The software package contains implementations of recent advances in Monte Carlo methodology, such as efficient local updates and sampling from probabilistic models of local protein structure. These models form a probabilistic alternative to the widely used fragm

9/11 – 2001. 3000 Americans have died as a direct result of the al-Qaida sanctioned terror attacks against the USA. The Americans were in tears, tears that soon would emerge into anger, hatred and determination – Determination to once and for all eliminate the terrorists that performed these despicable acts against their beautiful, free nation. But also, as the President proclaims, to spread the i

Fast directional growth is a necessity for the young seedling; after germination, it needs to quickly penetrate the soil to begin its autotrophic life. In most dicot plants, this rapid escape is due to the anisotropic elongation of the hypocotyl, the columnar organ between the root and the shoot meristems. Anisotropic growth is common in plant organs and is canonically attributed to cell wall anis

Popular Abstract in SwedishMed tonsättaren och musikkritikern Moses Pergament (1893-1977) som biografiskt lod har syftet med denna studie varit att blottlägga och analysera föreställningar om "juden", modernism, nationalism och "ras" i det svenska samhället. Pergament föddes i Helsingfors och växte upp i ett svenskspråkigt judiskt-ortodoxt hem. Han kom till Sverige 1916 och blev svensk medborgare

Data inom hälsovården kan användas för att hitta mönster för att exempelvis ta fram hur många som är sjuka, eller hur många som har fått ta blodprov. Det används ofta statistiska modeller för att göra undersökningar, men i detta projektet används artificiell intelligens, och mer specifikt neuronnät. Då tar vi hjälp av artificiell intelligens för att hitta mönster inom datakällor som kan vara svåraOutlier detection in high-dimensional data is a complex task, useful in many fields. One major application is in healthcare, where the high-dimensional healthcare registers can be used to detect patterns related to the medical behaviour and state of the population. In this project, neural network based autoencoders were used to study the Covid-19 vaccination campaign, where it was trained on healt

We characterize the selection function of RAdial Velocity Experiment (RAVE) using 2 Micron All Sky Survey (2MASS) as our underlying population, which we assume represents all stars that could have potentially been observed.We evaluate the completeness fraction as a function of position, magnitude and colour in two ways: first, on a field-by-field basis, and second, in equal-size areas on the sky.

Measurements of dust coupled to the Jovian magnetosphere have been obtained with the dust detector on board the Galileo spacecraft. We report on data obtained during the first four orbits about Jupiter that had flybys of the Galilean satellites: Ganymede (orbits 1 and 2), Callisto (orbit 3), and Europa (orbit 4). The most prominent features observed are highly time variable dust streams recorded t