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Swedish Historical National Accounts : 2023 Update, Revision and Underlying Principles

Since the most recent edition of the SHNA only stretches as far as 2010, the main purpose of the current edition has been to update the accounts using more recent data from Statistics Sweden (SCB). However, little attention has been paid in previous publications to precisely how this should be done. While it is noted that most of the accounts use data from Statistics Sweden from various points dur

Housing refugees from Ukraine: preliminary insights and learnings from the local response in five European cities

The Russian war of aggression against Ukraine caused an escape of >7 million people to other European countries. In this extreme context, the accommodation of refugees has been an urgent need and an unexpected challenge for the host cities and societies. This short paper discusses insights and learnings on housing and accommodation of Ukraine war refugees at the local scale. It summarises challeng

A Mixed-Bouncing Based Non-Stationarity and Consistency 6G V2V Channel Model with Continuously Arbitrary Trajectory

In this paper, a novel three-dimensional (3D) irregularshaped geometry-based stochastic model (IS-GBSM) is proposedfor sixth-generation (6G) millimeter wave (mmWave) massivemultiple-input multiple-output (MIMO) vehicle-to-vehicle(V2V) channels. To investigate the impact of vehicular trafficdensity (VTD) on channel statistics, clusters are divided into staticclusters and dynamic clusters, which are

Classification-based Static Collection Selection for Java: Effectiveness and Adaptability

Carefully selecting the right collection datastructure can significantly improve the performance of a Java program. Unfortunately, the performance impact of a certain collection selection can be hard to estimate.To assist developers there are tools that recommend collections to use based on static and/or dynamic information about a program. The majority of existing collection selection tools for J

Performance Analysis with Bayesian Inference

Statistics are part of any empirical science, and performance analysis is no exception. However, for non-statisticians, picking the right statistical tool to answer a research question can be challenging; each statistical tool comes with a set of assumptions, and it is not clear to researchers what happens when those assumptions are violated. Bayesian statistics offers a framework with more flexib

Circuit analysis using monotone+skew splitting

It is shown that the behavior of an m-port circuit of maximal monotone elements can be expressed as a zero of the sum of a maximal monotone operator containing the circuit elements, and a structured skew-symmetric linear operator representing the interconnection structure, together with a linear output transformation. The Condat–Vũ algorithm solves inclusion problems of this form, and may be used

Which lecturers’ characteristics facilitate the learning process? A qualitative study on students’ perceptions in the rehabilitation sciences

Background: In education, lecturers play a crucial role in facilitating students’ learning process. However, only a few studies explored which lecturers’ characteristics can facilitate this process in higher education for rehabilitation healthcare professionals. Starting from students’ perspectives, our qualitative study investigated the lecturers’ characteristics that facilitate students’ learnin

Real and perceived feet orientation under fatiguing and non-fatiguing conditions in an immersive virtual reality environment

Lower limbs position sense is a complex yet poorly understood mechanism, influenced by many factors. Hence, we investigated the position sense of lower limbs through feet orientation with the use of Immersive Virtual Reality (IVR). Participants had to indicate how they perceived the real orientation of their feet by orientating a virtual representation of the feet that was shown in an IVR scenario

Can Baseline Characteristics Predict Successful Outcomes after Individual, Physiotherapist-Led Rehabilitation in Patients with Chronic Musculoskeletal Pain?

BACKGROUND: No strong and consistent variables to predict outcome after pain rehabilitation have been reported in patients with chronic musculoskeletal pain. The aim of the present study was to clarify if baseline variables could predict successful outcome after a unique, individualized, physiotherapist-led rehabilitation of nine sessions.METHODS: In 274 individuals with severe chronic musculoskel

Deliverable of Work Package 7: : Common Strategic Research and Innovation Agenda

Identification of opportunities and challenges for the development of a more sustainable animal production (“research and innovation needs”) and critical research capacity that needs to be maintained or newly established (“research funding collaboration”).Chapter A is setting the scene, introducing livestock production in Europe and the scope of this research agenda.Chapter B and annex 2 describe

Rationalizing the importance of business models for sustainability transitions : A conceptual exploration of incumbents and business model innovation

The current way of consumption and production is unsustainable in that society is exceeding the earth’s planetary boundaries and creating long-term and irreversible effects on an environmental, social, and economic level. There is a recognized need on all system levels to change the way that we operate. Industry is a key area that requires this attention, as it is largely responsible for the impac

How Does Enterprise Social Media (ESM) Influence Newcomers’ Socialization: A Multilevel Perspective

Socialization plays an essential role in ensuring that newcomers to an organization enjoy greater productivity and also integrate well into their workgroups. Since the COVID-19 pandemic, enterprise social media (ESM) is increasingly being used in organizations as an informal socialization tool. However, the effectiveness of these tools in affording the necessary socialization opportunities and ena

INCREASED LEVELS OF ADVANCED GLYCATION END PRODUCTS ARE ASSOCIATED WITH HIGHER AORTIC STIFFNESS IN YOUNGER INDIVIDUALS OF THE GENERAL POPULATION

Objective: Advanced Glycation End products (AGEs) is an established risk marker in diabetic vascular disease, and associated with the degree of diabetes complications, renal failure, and atherosclerosis in older individuals. The relationship between aortic stiffness and AGEs has not been thoroughly examined in the younger population. We aimed to evaluate the association between AGEs and aortic sti