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Literature investigating highly skilled Chinese migrants has so far focused on their role as drivers of new entrepreneurship as well as innovation in firms and regions, although their role in supporting small and medium enterprises' (SMEs) engagement in global innovation networks (GINs) is still underexplored. The participation in GINs is a key for high-tech SMEs, which rely on sophisticated knowl

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An aging population is associated with an increased prevalence of cognitive decline and related diseases. Gradual cognitive decline is a natural feature of aging, but may also develop into a more severe loss of cognitive function, manifesting as mild cognitive impairment or severe cognitive disease. Currently, no medical treatments can fully prevent these conditions or diseases. One approach is to

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STUDY OBJECTIVES: Traffic noise has been associated with poor sleep quality and short sleep duration. This study investigates the association between nighttime road traffic noise at the least and most exposed façades of the residence and redemption of sleep medication.METHODS: In a cohort of 44,438 Danes, aged 50-64 at baseline (1993-1997), we identified all addresses from 1987 to 2015 from a nati

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Urbanization is not only a concentration of humans in city areas but also, the consumption and production activities that are comprised in urban space. In this sense, goods and services are developed through the urban economic actors, through labor, economic diversity, and prosperity. This article reviews the relationship between urban economics and tradesmen & craftsmen (TC). The focus is on

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Manual gestures and speech form a single integrated system during nativelanguage comprehension. However, it remains unclear whether this hold forsecond language (L2) comprehension, more specifically for simultaneousinterpreting (SI), which involves comprehension in one language and simultaneousproduction in another. In a combined mismatch and priming paradigm,we presented Swedish speakers fluent i

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Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for automatic identification of covariate model structures. Although neural networks could potentially be used to approximate covariate-parameter relation

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Applying the most appropriate sampling method is essential for estimating population size. Sampling methods and techniques to estimate abundance may be limited by environmental characteristics, species traits, specific requirements of the techniques, or the economic resources to carry out the sampling. Thus, evaluating multiple sampling methods in monitoring populations is essential for establishi

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We consider distributed consensus in networks where the agents have integrator dynamics of order two or higher (n≥2). We assume all feedback to be localized in the sense that each agent has a bounded number of neighbors and consider a scaling of the network through the addition of agents in a modular manner, i.e., without re-tuning controller gains upon addition. We show that standard consensus al

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Background: Since the first version of the dietary inflammatory index (DII®) developed in the past decade, several other versions have been developed. However, to date no study has attempted to compare these versions with respect to their associations with biomarkers of inflammation. Objective: We aimed to investigate the relationship between four dietary inflammatory scores [DII, two energy-adjus

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Control theory allows one to design controllers that are robust to external disturbances, model simplification, and modelling inaccuracy. Researchers have investigated whether the robustness carries on to the controller’s digital implementation, mostly looking at how the controller reacts to either communication or computational problems. Communication problems are typically modelled using random

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OBJECTIVES: To assess the risk of incident cardiovascular disease in patients with primary Sjögren's syndrome, overall and stratified by Ro/SSA and La/SSB autoantibody status.METHODS: A cohort of patients with primary Sjögren's syndrome in Sweden (n=960) and matched controls from the general population (n=9,035) were included, and data extracted from the National Patient Register to identify event

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The mineralo-sphere is an important micro habitat in terrestrial ecosystems. How different groups of microorganisms colonise mineral surfaces and whether the level of grassland land-use intensity (LUI) modifies this micro-habitat is not well known, however. We exposed mesh containers filled with pristine soil minerals (illite/goethite) mixed with 13C labelled root litter of Dactylis glomerata and

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Impedance, or oscillometry, measurements of the respiratory system can generate information about the function of the respiratory system not possible with traditional spirometry. There are currently several instruments on the market using different perturbations. We have compared a new respiratory oscillometry instrument, the tremoflo, with Impulse Oscillometry (IOS). Patients with a physician’s d

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Access to outdoor leisure activities is central to supporting active and healthy ageing. To address the lack of research on services supporting continued engagement, this study examines how public, voluntary and private sectors provide outdoor recreation services for older adults. This study uses a qualitative research design to draw on interviews, a workshop, and field observations conducted in a

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This is the Replicated Computational Results (RCR) Report for the article ‘Stress Testing Control Loops in Cyber-Physical Systems’. The article proposes a novel approach for testing Cyber-Physical Systems (CPS) based on the integration of the guarantees that can be provided with the control theoretical models into the software testing practices. This RCR report describes how to reproduce the empir

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Dynamic task offloading is essential for real-time robotic applications, enabling them to adapt to fluctuating computational demands and maintain efficiency under changing conditions. This paper introduces a dynamic task offloading framework that incorporates monitoring, decision making, offloading triggering, and performance monitoring to optimize resource usage by offloading real-time tasks to e

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Background: Air pollution is a known risk factor for chronic respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). However, evidence regarding the role of black carbon (BC) remains mixed and sparse. This study aimed to examine the association of long-term exposure to air pollution, focusing on BC, with incident asthma and COPD in adults. Method: We followed 28,73