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Growth is dependent on the exocrine pancreas function in young weaners but not in growing-finishing pigs

A correlation between the exocrine pancreatic function and growth has been previously demonstrated in growing pigs but the data are inconsistent. This was investigated by studying the growth performance of pigs with exocrine pancreatic insufficiency (EPI) at different ages and maintained under similar conditions. Twelve 7 week old (10.5 +/- 1.3 kg) weaners, and twelve 16 week old (43 +/- 5 kg) gro

Geospatial data integration and visualisation using Linked Data

Geospatial data are increasingly available nowadays, and this leads to more analyses and visualisation of geospatial data from several sources. To enable this, we need homogenous data as well as proper integration methods. Geospatial data integration has been a longstanding research topic for decades, and this paper discusses the utilisation of Linked Data technology stack to alleviate the geospat

Bullying, violence and mental distress among young people. Cross-sectional population-based studies in Scania, Sweden.

Aim: The overall aim was to investigate associations between bullying, violence and mental health among young people in Sweden. Specific aims were to investigate differences in exposure to peer victimization among disabled and non-disabled adolescents (Paper I), the influence of social support on the relationship between cyber harassment and mental distress among adolescents (Paper II), the associ

Stability and Local Unfolding of SOD1 in the Presence of Protein Crowders

Using NMR and Monte Carlo (MC) methods, we investigate the stability and dynamics of superoxide dismutase 1 (SOD1) in homogeneous crowding environments, where either bovine pancreatic trypsin inhibitor (BPTI) or the B1 domain of streptococcal protein G (PGB1) serves as a crowding agent. By NMR, we show that both crowders, and especially BPTI, cause a drastic loss in the overall stability of SOD1 i

Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing

Cancer-associated fibroblasts (CAFs) are a major constituent of the tumor microenvironment, although their origin and roles in shaping disease initiation, progression and treatment response remain unclear due to significant heterogeneity. Here, following a negative selection strategy combined with single-cell RNA sequencing of 768 transcriptomes of mesenchymal cells from a genetically engineered m

Five-year changes in dietary intake and body composition in adolescents with severe obesity undergoing laparoscopic Roux-en-Y gastric bypass surgery

Background: Information is scarce on long-term changes in energy intake (EI), dietary energy density (DED), and body composition in adolescents undergoing laparoscopic Roux-en-Y gastric bypass (RYGB). Objectives: To investigate long-term changes in EI, DED, and body composition in adolescents after LRYGB. Setting: University hospitals, multicenter study, Sweden. Methods: Eighty-five adolescents (6

Level of education and the risk of cancer in Sweden

It is well known that certain cancers have shown clusteringin educational and socioeconomic groups, but recent comprehensive data on clustering by education are limited. We determined standardized incidence ratios (SIRs), adjusted for several variables, for cancer among men and women in six educational groups based on the Swedish Family-Cancer Database. People were identified with a certain educat

T-cell commitment inheritance—an agent-based multi-scale model

T-cell development provides an excellent model system for studying lineage commitment from a multipotent progenitor. The intrathymic development process has been thoroughly studied. The molecular circuitry controlling it has been dissected and the necessary steps like programmed shut off of progenitor genes and T-cell genes upregulation have been revealed. However, the exact timing between decisio

Relating the single particle soot photometer (SP2) signal response to soot maturity

Light absorbing carbonaceous aerosols produced from combustion span over a range of physicochemical properties. Soot is the most recognized species in this category and its formation process involves gradual maturation from amorphous young soot with a high hydrogen-to-carbon-ratio toward mature soot aggregates. In this work, the optical response of a single particle soot photometer (SP2) to electr

Sex and age differences in the patient-reported outcome measures and adherence to an osteoarthritis digital self-management intervention

ObjectiveTo explore sex and age differences in Patient-Reported Outcomes Measures (PROMs) and adherence to digital osteoarthritis (OA) self-management intervention.MethodsA register-based study with data from an OA digital self-management intervention. PROMs and adherence were collected at baseline and/or 3 ​month follow-up: ‘pain intensity’ in hip/knee (best/worst: 0–10), ‘activity impairments' (

Using Iron L-Edge and Nitrogen K-Edge X-ray Absorption Spectroscopy to Improve the Understanding of the Electronic Structure of Iron Carbene Complexes

Iron-centered N-heterocyclic carbene compounds have attracted much attention in recent years due to their long-lived excited states with charge transfer (CT) character. Understanding the orbital interactions between the metal and ligand orbitals is of great importance for the rational tuning of the transition metal compound properties, e.g., for future photovoltaic and photocatalytic applications.

Using Artificial Intelligence for Assessment of Velopharyngeal Competence in Children Born With Cleft Palate With or Without Cleft Lip

ObjectiveDevelopment of an AI tool to assess velopharyngeal competence (VPC) in children with cleft palate, with/without cleft lip.DesignInnovation of an AI tool using retrospective audio recordings and assessments of VPC.SettingTwo datasets were used. The first, named the SR dataset, included data from follow-up visits to Skåne University Hospital, Sweden. The second, named the SC + IC dataset, w

Towards Federated Learning with on-device Training and Communication in 8-bit Floating Point

Recent work has shown that 8-bit floating point (FP8) can be used for efficiently training neural networks with reduced computational overhead compared to training in FP32/FP16. In this work, we investigate the use of FP8 training in a federated learning context. This brings not only the usual benefits of FP8 which are desirable for on-device training at the edge, but also reduces client-servercom