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Data and Optimization Requirements for Kidney Exchange Programs

Kidney Exchange Programs (KEP) are valuable tools to increase the options of living donor kidney transplantation for patients with end-stage kidney disease with an immunologically incompatible live donor. Maximising the benefits of a KEP requires an information system to manage data and to optimise transplants. The data input specifications of the systems that relate to key information on blood gr

Enabling creativity : Reflections on the work practices of management at platforms for creative and cultural work

Culture and creativity are often described as central elements in urban and regional development. This paper takes its point of departure in an ongoing research project on the work of professionals at platforms for creative and cultural work in Scania, Sweden. Through narratives of and about the professionals at the different platforms the paper illustrates how creativity and creative work are enc

Tau pathology mediates age effects on medial temporal lobe structure

Hippocampal atrophy is endemic in ‘normal aging’ but it is unclear what factors drive age-related changes in medial temporal lobe (MTL) structural measures. We investigated cross-sectional (n = 191) and longitudinal (n = 164) MTL atrophy patterns in cognitively normal older adults from ADNI-GO/2 with no to low cerebral β-amyloid and assessed whether white matter hyperintensities (WMHs) and cerebro

Infographic. The first position statement of the Concussion in Para Sport Group

BackgroundA concussion is a common injury in many sports, including para sport. Aside from a more comprehensive need for concussion education, clinicians face difficulties applying concussion assessment and management guidelines to para athletes.1 At present, there is a lack of para-sport concussion research, and prior International Concussion in Sport (CIS) consensus papers have not addressed thi

Unveiling interactions of non-metallic inclusions within advanced ultra-high-strength steel : A spectro-microscopic determination and first-principles elucidation

Determining non-metallic inclusions (NMIs) are essential to engineer ultra-high-strength steel as they play decisive role on performance and critical to probe via conventional techniques. Herein, advanced Synchrotron X-ray absorption coupled with photoemission electron microscopy and first-principles calculations are employed to provide the structure, local bonding structure and electronic propert

Spatial and socio-economic analysis of public transport systems in large cities : A case study for Belo Horizonte, Brazil

The main goal of this article is to evaluate the relationship between the spatial distribution of the population of the city of Belo Horizonte, one of the largest cities in South America, and its public transport network, seeking to ascertain whether the current bus network is able to meet the needs of the population. The methodology was based on data processing and vector information from differe

Discovery of a rare GKAP1-NTRK2 fusion in a pediatric low-grade glioma, leading to targeted treatment with TRK-inhibitor larotrectinib

Here we report a case of an 11-year-old girl with an inoperable tumor in the optic chiasm/hypothalamus, who experienced several tumor progressions despite three lines of chemotherapy treatment. Routine clinical examination classified the tumor as a BRAF-negative pilocytic astrocytoma. Copy-number variation profiling of fresh frozen tumor material identified two duplications in 9q21.32-33 leading t

Efficacy and safety of low and very low carbohydrate diets for type 2 diabetes remission : systematic review and meta-analysis of published and unpublished randomized trial data

OBJECTIVE: To determine the efficacy and safety of low carbohydrate diets (LCDs) and very low carbohydrate diets (VLCDs) for people with type 2 diabetes. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Searches of CENTRAL, Medline, Embase, CINAHL, CAB, and grey literature sources from inception to 25 August 2020. STUDY SELECTION: Randomized clinical trials evaluating LCDs (<130 g/day or

Risk Factors for Contra-Lateral Secondary Anterior Cruciate Ligament Injury : A Systematic Review with Meta-Analysis

Background: The risk of sustaining a contra-lateral anterior cruciate ligament (C-ACL) injury after primary unilateral ACL injury is high. C-ACL injury often contributes to a further decline in function and quality of life, including failure to return to sport. There is, however, very limited knowledge about which risk factors that contribute to C-ACL injury. Objective: To systematically review in

Survey on opportunities and barriers in lighting controls

This report summarizes a survey performed in eight countries on the status quo of daylight and electric lighting control systems. Feedback from more than 100 international experts (building / facility managers and planers) was evaluated. The aim of the survey was to identify the perception of the different possibilities of the current lighting control solutions and the expectations about the contr

Association Between Bone Mineral Density and Autoantibodies in Patients With Rheumatoid Arthritis

Objective: Autoantibodies, such as anti–citrullinated protein antibodies (ACPAs), have been described as inducing bone loss in rheumatoid arthritis (RA), which can also be reflected by bone mineral density (BMD). We therefore examined the association between osteoporosis and autoantibodies in two independent RA cohorts. Methods: Dual x-ray absorptiometry (DXA) of the lumbar spine and left hip was

Effectiveness of seasonal influenza vaccination in community-dwelling elderly people : an individual participant data meta-analysis of test-negative design case-control studies

Background: Several aggregate data meta-analyses have provided estimates of the effectiveness of influenza vaccination in community-dwelling elderly people. However, these studies ignored the effects of patient-level confounders such as sex, age, and chronic diseases that could bias effectiveness estimates. We aimed to assess the confounder-adjusted effectiveness of influenza vaccines on laborator

Chemokines modulate glycan binding and the immunoregulatory activity of galectins

Galectins are versatile glycan-binding proteins involved in immunomodulation. Evidence suggests that galectins can control the immunoregulatory function of cytokines and chemokines through direct binding. Here, we report on an inverse mechanism in which chemokines control the immunomodulatory functions of galectins. We show the existence of several specific galectin-chemokine binding pairs, includ

Effect of sodium taurodeoxycholate on PEO-PPO-PEO triblock copolymer F127 with incorporated SNAP : Insights into micellization, gelation, and nitric oxide release

We report the first incorporation of S-nitroso-N-acetylpenicillamine (SNAP) into micellar systems of the poly(ethylene oxide)-poly(propylene oxide)-poly(ethylene oxide) (PEO-PPO-PEO) triblock copolymer Pluronic® F127 for nitric oxide (NO) delivery and show how sodium taurodeoxycholate (NaTDC) modulates F127 micellization and gelation. Using differential scanning calorimetry, small-angle X-ray scat

Building performance analysis at the design stage: : A study into the challenges of BIM and BEM integration in the Swedish AEC industry

Despite efforts to integrate BIM and BEM, challenges persist, including incomplete data, errors, and the need for manual corrections, all hindering the implementation of sustainable building designs. Professionals in the Swedish architecture, engineering, and construction (AEC) industry have yet to fully adopt standardized practices for exchanging BIM and BEM data. This article explores the challe

Consistent energy-diversity relationships in terrestrial vertebrates

Ecologists have long proposed that environments providing more energy can support more species, yet empirical evidence frequently contradicts this expectation. We argue that such inconsistencies result from confounding geographical influences that mask the true relationship between species richness and energy-related factors. Here, by comparing species richness across different climate conditions,

Collaboration on the optimal timing of anticoagulation after ischaemic stroke and atrial fibrillation : a systematic review and prospective individual participant data meta-analysis of randomised controlled trials (CATALYST)

Background: The optimal timing of oral anticoagulation for prevention of early ischaemic stroke recurrence in people with acute ischaemic stroke and atrial fibrillation remains uncertain. We aimed to estimate the effects of starting a direct oral anticoagulant (DOAC) early (≤4 days) versus later (≥5 days) after onset of ischaemic stroke. Methods: For this systematic review and meta-analysis we sea

Conductive Reverse Electrodialysis for Salinity Gradient Energy

Salinity gradient energy (SGE) can play an important role in the energy transition from fossil-based sources to renewable sources. Its potential is estimated to be around 625 TWh·a-1 corresponding to 3% of global electricity consumption [1]. SGE sources are most abundant in the estuaries where rivers meet seawater. However, it is also available in different forms such as brackish water, brine etc

Biomarker-Based ABC-AF Risk Scores for Personalized Treatment to Reduce Stroke or Death in Atrial Fibrillation : A Registry-Based, Multicenter, Randomized, Controlled Study

BACKGROUND: – The clinical use of risk scores to guide treatment decisions and improve clinical outcomes has rarely been prospectively evaluated. This study aimed to evaluate whether a biomarker-based ABC-AF risk score–guided multidimensional treatment strategy improves long-term outcomes in patients with AF. METHODS: – The multicenter, registry-based, randomized, controlled, open-label study enro

PEPRF : Identification of Essential Proteins by Integrating Topological Features of PPI Network and Sequence-based Features via Random Forest

Background: Essential proteins play an important role in the process of life, which can be identified by experimental methods and computational approaches. Experimental approaches to identify essential proteins are of high accuracy but with the limitation of time and resource-consuming. Objective: Herein, we present a computational model (PEPRF) to identify essential proteins based on machine lear