Search results for "Learning"

Teachers as frontline agents of integration: Finnish physical education students’ reflections on intercultural encounters

2018

Background and purpose: This article focuses on how future Physical Education and Dance teachers may be better prepared to work in increasingly diverse education environments. It also discusses how tertiary institutions might address issues of social inclusion and cultural pluralism within their programmes, courses and assignments. The authors critically reflect on an experiential learning intervention in Jyväskylä, Finland, in which trainee PE teachers facilitated kinaesthetic language-learning workshops for asylum seekers. The applied use of physical education and dance in this context was aimed at providing a distinct opportunity to consider a PE teacher’s professional competence and rol…

Learning Mathematical Concepts as a Whole-Body Experience

2019

Use of the KSVM-based system for the definition, validation and identification of the incisional hernia recurrence risk factors

2019

BACKGROUND: Incisional hernia is one of the most common complications after abdominal surgery with an incidence rate of 11 to 20% post laparotomy. Many different factors can be considered as risk factors of incisional hernia recurrence. The aim of this study is to confirm and to validate the incisional hernia recurrence risk factors and to identify and to validate new ones. METHODS: In the period from July 2007 to July 2017, 154 patients were selected and subjected to incisional hernia repair. The surgical operations were conducted under general anaesthesia. Patients received antibiotic prophylaxis when indicated, according to the hospital prophylaxis scheme. Inclusion criteria of the study…

Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with…

2020

Oral drug absorption is a complex process depending on many factors, including the physicochemical properties of the drug, formulation characteristics and their interplay with gastrointestinal physiology and biology. Physiological-based pharmacokinetic (PBPK) models integrate all available information on gastro-intestinal system with drug and formulation data to predict oral drug absorption. The latter together with in vitro-in vivo extrapolation and other preclinical data on drug disposition can be used to predict plasma concentration-time profiles in silico. Despite recent successes of PBPK in many areas of drug development, an improvement in their utility for evaluating oral absorption i…

Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

21ST CENTURY SKILLS IN THE CONTEXT OF LIFE QUALITY

2020

The article addresses comparative qualitative content analysis as a part of the grounded theory research to explore the relationship between English language proficiency of economically active adults and their quality of life. Using comparative qualitative content analysis of the policy documents in respect of lifelong learning as main data collection method, the authors of the article aim to identify the relationship between the 21st century skills and indicators of life quality by comparing the sources that define the 21st century skills and analysing them in the context of the “8+1” dimensions of life quality offered by the European Union. The following research questions have been propo…

Agency and Learning in the Work of Software Professionals

2017

This chapter addresses software professionals’ agency and learning in work characterized by a need for innovative learning and fluency in renewing work practices. The study presented was conducted with software professionals in a medium-sized Finnish company producing digital business applications. We applied a mixed-method approach to data collection and analysis. Regarding professional agency, we found a range of opportunities to influence work-related matters. The professionals were primarily able to influence their working hours and the order of their work tasks, but had fewer opportunities to influence customer projects, or their salary. To some extent they were able to develop themsel…

Telerehabilitation for COPD Patients across Sectors: Using Technology to Promote Cooperation among Healthcare Professionals

2011

A telerehabilitation programme for patients with chronic obstructive pulmonary lung disease has been developed. Aim: The aim of the paper is to explore how telerehabilitation technology influences cooperation and coordination between healthcare professionals in the Telekat network. Theory: Network theory has been applied. Methods: A triangulation of data collection techniques such as documentary materials, participant observations (n=163 hours), and qualitative interviews (n=24) has been used in a case study of the Telekat project. Findings: Telerehabilitation technologies influences cooperation and coordination between healthcare professionals in themes like: interdisciplinary decision mak…

Context-related data processing in artificial neural networks for higher reliability of telerehabilitation systems

2015

Classification is a data processing technique of a great significance both for native eHealth systems and web telemedicine solutions. In this sense, artificial neural networks have been widely applied in telerehabilitation as powerful tools to process information and acquire a new medical knowledge. But effective analysis of multidimensional heterogeneous medical data, still poses considerable difficulties. It was shown that processing too many data features simultaneously is costly and has some adverse effects on the resulting models classification properties. Therefore, there is a strong need to develop new techniques for selecting features from the very large data sets that include many …