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Lymph nodes (LNs) are believed to be the first organs targeted by colorectal cancer cells detached from a primary solid tumor because of their role in draining interstitial fluids. Better detection and assessment of these organs have the potential to help clinicians in stratification and designing optimal design of oncological treatments for each patient. Whilst highly valuable for the detection o
PURPOSE: Underground diesel exhaust exposure is an occupational health risk. It is not known how recent intensified emission legislation and use of renewable fuels have reduced or altered occupational exposures. We characterized these effects on multipollutant personal exposure to diesel exhaust and underground ambient air concentrations in an underground iron ore mine.METHODS: Full-shift personal
Objectives:The aim of the study was to evaluate the relationships between intake of mother's own milk (MOM), compared with intake of pasteurized donor milk (DM), and postnatal growth, incidence of retinopathy of prematurity (ROP) and bronchopulmonary dysplasia (BPD), in extremely preterm infants.Methods:Swedish population-based cohort of surviving extremely preterm infants born 2004 to 2007. Expos
Objective: Studies have related air pollution to myocardial infarction (MI) events over days or weeks, with few data on very short-term risks. We studied risk of ST-segment elevation MI (STEMI) within hours of exposure to air pollution while adjusting for weather. Methods: We performed a case-crossover study of STEMI cases in Stockholm, Sweden (Jan 2000–June 2014) based on SWEDEHEART. Exposures du
Introduction: This review presents noteworthy advances in clinical and experimental Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 years since our previous review on the subject. Areas covered: This study presents the commercially available CE platforms, as well as the advances made in optimizing the diagnostic capabilities of CE. The latter includes recent
Finnish samples have been extensively utilized in studying single-gene disorders, where the founder effect has clearly aided in discovery, and more recently in genome-wide association studies of complex traits, where the founder effect has had less obvious impacts. As the field starts to explore rare variants' contribution to polygenic traits, it is of great importance to characterize and confirm
The popularization of parallelism is arguably the most fundamental computing challenge for years to come. We present an approach where parallel programming takes place in a restricted (sub-Turing-complete), logic-based declarative language, embedded in Java. Our logic-based language, PQL, can express the parallel elements of a computing task, while regular Java code captures sequential elements. T
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted
Abnormal trophoblast cell apoptosis is implicated in the pathogenesis of pregnancy-related disorders including preeclampsia (PE), and endoplasmic reticulum (ER) stress has been considered as a novel pathway in the regulation of cell apoptosis. In this study, we observed that both apoptosis and ER stress are triggered in trophoblast cells under hypoxia as well as in the placenta of PE rats. Quantit
Background: The choice of rhythm control drugs for recurrent atrial fibrillation (AF) remains empirical and is based on the safety profile rather than predicted efficacy. Flecainide is recommended for prevention of AF recurrence in patients without structural heart disease however predictors of treatment success are insufficiently studied. Objective: To assess clinical characteristics associated w
Background: Digitalized work life can increase cognitive demands and influence people’s everyday life. This can be challenging for people with cognitive difficulties, yet there is scarce knowledge of how they manage these. It is essential to learn how self-initiated management strategies can be a resource to support sustainable work and everyday life. Aim: To describe how people with cognitive dif
Agencies that regulate electricity providers often apply nonparametric data envelopment analysis (DEA) to assess the relative efficiency of each firm. The reliability and validity of DEA are contingent upon selecting relevant input variables. In the era of big (wide) data, the assumptions of traditional variable selection techniques are often violated due to challenges related to high-dimensional
BACKGROUND: Epidemiologic studies have linked transportation noise to increased morbidity and mortality, particularly for cardiovascular outcomes. However, studies investigating metabolic outcomes such as diabetes are limited and have focused only on noise exposures estimated for the loudest residential façade.OBJECTIVES: We aimed to examine the influence of long-term residential exposure to trans
Several plasticizing chemicals induce endocrine disrupting effects in humans, and the indoor environment is suggested to be a source of exposure. As children are particularly vulnerable to the effects from exposure to endocrine disrupting chemicals (EDCs), it is essential to monitor exposure to EDCs such as phthalates and non-phthalate plasticizers in indoor environments intended for use by childr
To be ready for new as well as current digital innovations, organisations need to have a digital strategy in place. This study examines organisations within the Swedish wood supply chain and evaluates their current digital strategies. This in order to gain a holistic view on their current efforts, challenges and opportunities for future digitalisation. The study was conducted within 7 semi structu
This study aimed to forecast combined sewer flow into a wastewater treatment plant in Lund, Sweden by using uncalibrated X-band radar data with a neural network. Neural networks have proved themselves useful in the field of forecasting as they can solve multiple kinds of problems and recognise patterns in the data (Alemu et al. 2018) as well as model complex real-world problems (Zhang 2012). In 20
Elections to the European Parliament have since they were introduced in 1979 been, as scholars define it, a “second-order” election. They are typically as such characterized through the losses for national government parties, surge of smaller parties, low interest from the public in general and most of all low levels of voter participation. Expectations were therefore for once higher that the Euro
The failure or flourishing of companies in their core businesses can often be attributed to events and developments rooting outside their focus of attention. Many research streams are concerned with early detection, interpretation and acting upon these weak signals from companies’ peripheries - with Peripheral Vision by Schoemaker & Day (2006) being one of the most systematic approaches. Due t
Supply Chain Management (SCM) has increasingly become the focus of many organisations in a vast array of industries. However, due to external environment pressures and the multitude of internal management options, firms experience difficulties in determining how to best manage a supply chain in order to create a competitive advantage and enable higher organisational performance. This thesis aims t
