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Phonon transport and thermoelectricity in defect-engineered InAs nanowires

There have been reports of improvements in the thermoelectric figure of merit through the use of nanostructured materials to suppress the lattice thermal conductivity. Here, we report on a fundamental study of the combined effects of defect planes and surface scattering on phonon transport and thermoelectric properties of defect-engineered InAs nanowires. A microfabricated device is employed to me

A Mixture of Endocrine Disrupting Chemicals Associated with Lower Birth Weight in Children Induces Adipogenesis and DNA Methylation Changes in Human Mesenchymal Stem Cells

Endocrine disrupting chemicals (EDCs) are man-made compounds that alter functions of the endocrine system. Environmental mixtures of EDCs might have adverse effects on human health, even though their individual concentrations are below regulatory levels of concerns. However, studies identifying and experimentally testing adverse effects of real-life mixtures are scarce. In this study, we aimed at

Impact of the COVID-19 pandemic on morbidity and mortality in patients with inflammatory joint diseases and in the general population : A nationwide Swedish cohort study

Objectives To estimate absolute and relative risks for all-cause mortality and for severe COVID-19 in inflammatory joint diseases (IJDs) and with antirheumatic therapies. Methods Through Swedish nationwide multiregister linkages, we selected all adult patients with rheumatoid arthritis (RA, n=53 455 in March 2020), other IJDs (here: spondyloarthropathies, psoriatic arthritis and juvenile idiopathi

Per- and polyfluoroalkyl substances (PFAS) and male reproductive function in young adulthood; a cross-sectional study

Background: Per- and polyfluoroalkyl substances (PFAS) are a large family of persistent industrial chemicals with endocrine disrupting properties. Objectives: To examine biomarkers of reproductive function in young adult males according to current environmental exposure to single and combined PFAS. Methods: The study population consisted of young men (n = 1041, age 18–21) from the Fetal Programmin

Alcohol use disorder and non-fatal suicide attempt : findings from a Swedish National Cohort Study

Background and Aims: Alcohol use disorder (AUD) is associated with increased risk of non-fatal suicide attempt. We aimed to measure the strength and mechanistic nature of the association between AUD and increased suicide attempt and determine any causal pathways and/or shared risk factors. Design: We used Cox proportional hazards models in population-level and co-relative analyses to evaluate the

Updated fraction of cancer attributable to lifestyle and environmental factors in Denmark in 2018

Environmental exposures and avoidable risk factors account for a large proportion of cancer burden. Exposures and lifestyle vary over time and between populations, which calls for updated and population-specific quantification of how various avoidable risk factors influence cancer risk to plan and design rational and targeted prevention initiatives. The study considered 12 risk-factor groups categ

Research priorities to address the global burden of chronic obstructive pulmonary disease (COPD) in the next decade

Background: The global prevalence of chronic obstructive pulmonary disease (COPD) has increased markedly in recent decades. Given the scarcity of resources available to address global health challenges and respiratory medicine being relatively under-invested in, it is important to define research priorities for COPD globally. In this paper, we aim to identify a ranked set of COPD research prioriti

Lymphovascular Infiltration, Not Depth of Invasion, is the Critical Risk Factor of Metastases in Early Colorectal Cancer : Retrospective Population-based Cohort Study on Prospectively Collected Data, including Validation

Objective: To identify clinical and histopathological risk factors of LNM in T1 CRC. Summary of Background Data: The requisite of additional surgery after locally resected T1 CRC is dependent on the risk of LNM. Depth of submucosal invasion is used as a key predictor of lymphatic metastases although data are conflicting on its actual impact. Methods: Retrospective population-based cohort study on

The causal effect of education and cognitive performance on risk for suicide attempt : A combined instrumental variable and co-relative approach in a Swedish national cohort

Background: The aim of this study was to clarify the possible causal associations between education phenotypes and non-fatal suicide attempts. In particular, we evaluated the roles of academic achievement (school grades), cognitive performance (IQ), and educational attainment (education level). Methods: Based on longitudinal Swedish registry data, we included 2,335,763 individuals (48.7% female) w

Hydrogen plasma enhanced oxide removal on GaSb planar and nanowire surfaces

Due to its high hole-mobility, GaSb is a highly promising candidate for high-speed p-channels in electronic devices. However, GaSb exhibits a comparably thick native oxide causing detrimental interface defects, which has been proven difficult to remove. Here we present full oxide removal from GaSb surfaces using effective hydrogen plasma cleaning, studied in-situ by synchrotron-based X-ray photoel

Typical angina during exercise stress testing improves the prediction of future acute coronary syndrome

Introduction: The prognostic value of angina during exercise stress testing is controversial, possibly due to previous studies not differentiating typical from non-typical angina. We aimed to assess the prognostic value of typical angina alone, or in combination with ST depression, during exercise stress testing for predicting cardiovascular events. Methods: We conducted a prospective observationa

InN quantum dots on GaN nanowires grown by MOVPE

In this work, growth of InN quantum dots (QDs) on GaN nanowires (NWs) by metal-organic vapour phase epitaxy is demonstrated, illustrating the feasibility to combine 0D and 1D structures for nitride semiconductors. Selective area growth was used to generate arrays of c-oriented GaN NWs using Si3N4 as the mask material. In general, InN QDs tend to form at the NW edges between the m-plane side facets

Trade-offs between precision and fluctuations in charging finite-dimensional quantum batteries

Within quantum thermodynamics, many tasks are modeled by processes that require work sources represented by out-of-equilibrium quantum systems, often dubbed quantum batteries, in which work can be deposited or from which work can be extracted. Here we consider quantum batteries modeled as finite-dimensional quantum systems initially in thermal equilibrium that are charged via cyclic Hamiltonian pr

Pesticide exposure, birth size, and gestational age in the ISA birth cohort, Costa Rica

Purpose: To examine associations of prenatal biomarkers of pesticide exposure with birth size measures and length of gestation among newborns from the Infants' Environmental Health (ISA) birth cohort, Costa Rica. Methods: We included 386 singleton liveborn newborns with data on birth size measures, length of gestation, and maternal urinary biomarkers of chlorpyrifos, synthetic pyrethroids, mancoze

Evaluating care pathways for pediatric anxiety disorders: Study protocol for a pilot randomized controlled trial of stepped care vs stratified care.

Introduction: Anxiety disorders are common and debilitating in children and adolescents. Cognitive behavioral therapy (CBT), delivered both in-person and by the internet (ICBT), is efficacious, but access for young individuals is limited and it remains unclear how to structure the care pathway to maximize benefit.Methods: To inform a fully powered randomized controlled trial (RCT), a pilot RCT wil

Hybrid elicitation and quantile-parametrized likelihood

This paper extends the application of quantile-based Bayesian inference to probability distributions defined in terms of quantiles of observable quantities. Quantile-parameterized distributions are characterized by high shape flexibility and parameter interpretability, making them useful for eliciting information about observables. To encode uncertainty in the quantiles elicited from experts, we p

Predicting intensive care need in women with preeclampsia using machine learning–a pilot study

Background: Predicting severe preeclampsia with need for intensive care is challenging. To better predict high-risk pregnancies to prevent adverse outcomes such as eclampsia is still an unmet need worldwide. In this study we aimed to develop a prediction model for severe outcomes using routine biomarkers and clinical characteristics. Methods: We used machine learning models based on data from an i

Prenatal current-use pesticide exposure and children's neurodevelopment at one year of age in the Infants' Environmental Health (ISA) birth cohort, Costa Rica

Background: Pesticide exposure may affect young children's neurodevelopment, but only few cohort studies have addressed possible effects of non-organophosphate pesticides. Objective: We evaluated associations between prenatal current-use pesticide exposure and neurodevelopmental outcomes among 1-year-old children from the Infants’ Environmental Health (ISA) birth cohort. Methods: To determine pren