Sökresultat

Purpose: Getting an incurable oesophageal or gastric cancer diagnosis is a major stressful life event associated with severe physical, psychosocial and existential challenges. To provide timely and efficient support, based on patients' experiences, the aim of the study was to explore how patients newly diagnosed with incurable oesophageal and gastric cancer manage everyday life. Method: Semi-struc

Purpose: To assess the risk of recurrent venous thromboembolism (VTE) and death in patients with unreported cancer-associated incidental pulmonary embolism (iPE). Materials and methods: Matched cohort study on cancer patients with a CT study including the chest between 2014-01-01 and 2019-06-30. Studies were reviewed for unreported iPE, and cases were matched with controls without iPE. Cases and c

Asthma is typically characterized by variable respiratory symptoms and airflow limitation. Along with the pathophysiology and symptoms are immunological and inflammatory processes. The last decades research has revealed that the immunology of asthma is highly heterogeneous. This has clinical consequences and identification of immunological phenotypes is currently used to guide biological treatment

Channel fabrication technology has become increasingly important for microfluidic and nanofluidic devices. In particular, glass channels have high chemical and physical stability, high optical transparency, and ease of surface modification, so that there is increasing interest in glass microfluidic devices for chemical experiments in microfluidics and nanofluidics. For the fabrication of glass cha

Many Arctic-breeding animals are at risk from local extirpation associated with habitat constriction and alterations in phenology in their Arctic environment as a result of rapid global warming.1 Migratory species face additional increasing anthropogenic pressures along their migratory routes such as habitat destruction, droughts, creation of barriers, and overexploitation.2,3 Such species can onl

Sammantagningsvis tar det här temanumret upp viktiga aspekter rörande coronapandemins effekter på arbetslivet. Utifrån artiklarna vill vi särskilt lyfta följande fyra punkter som angelägna för framtiden:- facket och skyddsombuden i Sverige spelar viktiga roller för bedömning avarbetsmiljörisker vid kriser, såsom coronapandemin.- goda arbetsvillkor i vardagen är avgörande för vård- och omsorgssekto

A major theme of the current “Haitian turn” has been what I call a “universality-analysis”, which stresses that the Haitian Revolution, in contrast to the American and the French, once and for all abolished slavery. The chapter investigates the intervention into the Haitian Turn by two scholars specialized in the history of human rights: Lynn Hunt, who advocates a universality-analysis of the HaitA major theme of the current “Haitian turn” has been what I call a “universality-analysis”, which stresses that the Haitian Revolution, in contrast to the American and the French, once and for all abolished slavery. The chapter investigates the intervention into the Haitian Turn by two scholars specialized in the history of human rights: Lynn Hunt, who advocates a universality-analysis of the Hait

Identification of protein structural neighbors to a query is fundamental in structure and function prediction. Here we present BS-align, a systematic method to retrieve backbone string neighbors from primary sequences as templates for protein modeling. The backbone conformation of a protein is represented by the backbone string, as defined in Ramachandran space. The backbone string of a query can

Many studies have demonstrated that shape string is an extremely important structure representation, since it is more complete than the classical secondary structure. The shape string provides detailed information also in the regions denoted random coil. But few services are provided for systematic analysis of protein shape string. To fill this gap, we have developed an accurate shape string predi

Conformal prediction has been proposed as a more rigorous way to define prediction confidence compared to other application domain concepts that have earlier been used for QSAR modeling. One main advantage of such a method is that it provides a prediction region potentially with multiple predicted labels, which contrasts to the single valued (regression) or single label (classification) output pre

Chemogenomics data generally refers to the activity data of chemical compounds on an array of protein targets and represents an important source of information for building in silico target prediction models. The increasing volume of chemogenomics data offers exciting opportunities to build models based on Big Data. Preparing a high quality data set is a vital step in realizing this goal and this

The volume of high throughput screening data has considerably increased since the beginning of the automated biochemical and cell-based assays era. This information-rich data source provides tremendous repurposing opportunities for data mining. It was recently shown that biochemical or cell-based assay results can be compiled into so-called high-throughput fingerprints (HTSFPs) as a new type of de

Motivation: The precise prediction of protein secondary structure is of key importance for the prediction of 3D structure and biological function. Although the development of many excellent methods over the last few decades has allowed the achievement of prediction accuracies of up to 80%, progress seems to have reached a bottleneck, and further improvements in accuracy have proven difficult. Resu

After World War II and prior to the financial deregulation of the 1980s, monetary policy in Sweden as well as in other western European countries rested chiefly on a system of far- reaching non-market-oriented controls of credit flows and interest rates. How was monetary policy conducted in such an environment of financial repression, where the central bank was unable to rely on traditional moneta

Numerous methods for predicting c-turns in proteins have been developed. However, the results they generally provided are not very good, with a Matthews correlation coefficient (MCC) ≤0.18. Here, an attempt has been made to develop a method to improve the accuracy of γ-turn prediction. First, we employ the geometric mean metric as optimal criterion to evaluate the performance of support vector mac