In silico tools for splicing defect prediction have a key role to assess the impact of variants of uncertain significance. Our aim was to evaluate the performance of a set of commonly used splicing in silico tools comparing the predictions against RNA in vitro results. This was done for natural splice sites of clinically relevant genes in hereditary breast/ovarian cancer (HBOC) and Lynch syndrome.

Lebanon has a highly fragmented health care system. The Lebanese population receives its health care services through a system dominated by the private sector that is dependent to a large extent on public sector financing. Lebanon spends about 83% of its Gross Domestic Product (GDP) on health. This study consists of observations on the utilization of the Ministry of Public Health (MOH) program of

Communities of practice (CoPs) represent a broad range of work situations characterized by shared knowledge and situated knowledge use. Although CoPs have been studied rather extensively, discussions of control in CoPs are rarer. This is peculiar because CoPs are characterized by a common tension in contemporary work: on the one hand, CoPs are expected to autonomously “think together,” but on the

Despite the creativity of the scientific community and the funding agencies, the underlying model of computation behind IoT, WSN, cloud, edge, fog, and mist is fundamentally the same; Computational nodes which are dynamically interconnected to form a system in where both processing capacity and connectivity may vary over time. On top of such a system, we consider applications that need packets to

The global society is dependent on transportation to function and a big part of these transports are driven by an internal combustion engine. Heavy-duty vehicles utilizes conventional diesel combustion is a combustion concept where the fuel is often ignited during the injection event and while it gives a high combustion efficiency, the combustion mode is also characterized by high emission of NOx

Objectives: To assess the relationships of somatic and anxiety symptoms of depression with functional disability in a sample of older adults with late life depression. Method: Data were analyzed from 78 older adults aged 65–88 with current major depression. Somatic and anxiety symptoms from the 24-item Hamilton Depression Rating Scale (HDRS) were summed to create variables measuring severity of th

Understanding how drugs work is of great importance, since it can facilitate drug discovery, both time- and costwise. At the same time, it is important to have methods that can help predict how well does a potential drug molecule bind to its target. Computational methods can in many ways contribute to drug design process. In this thesis, we employ different computational approaches to study the biUnderstanding how drugs work is of great importance, since it can facilitate drug discovery, both time- and costwise. At the same time, it is important to have methods that can help predict how well does a potential drug molecule bind to its target. Computational methods can in many ways contribute to drug design process. In this thesis, we employ different computational approaches to study the bi

Background: An increasing proportion of physicians are women, yet they still face challenges with career advancement. In 2014, the European Stroke Organisation established the goal of increasing the number and participation of women within the society using a Top Down and Bottom Up approach. The ‘Women’s Initiative for Stroke in Europe’ was created the same year by a group of women active within t

The interior of living cells is a dense and polydisperse suspension of macromolecules. Such a complex system challenges an understanding in terms of colloidal suspensions. As a fundamental test we employ neutron spectroscopy to measure the diffusion of tracer proteins (immunoglobulins) in a cell-like environment (cell lysate) with explicit control over crowding conditions. In combination with Sto

We discuss a parameter-free and computationally efficient ab initio simulation approach for moderately and strongly correlated materials, the multitier self-consistent GW+EDMFT method. This scheme treats different degrees of freedom, such as high-energy and low-energy bands, or local and nonlocal interactions, within appropriate levels of approximation, and provides a fully self-consistent descrip