Sökning: "core training"

Visar resultat 1 - 5 av 183 uppsatser innehållade orden core training.

  1. 1. Yoga och mindfulness i skolmiljö : En systematisk litteraturstudie av yogabaserade praktiker som en resurs för elever och lärares välmående.

    Magister-uppsats, Gymnastik- och idrottshögskolan, GIH/Institutionen för rörelse, kultur och samhälle

    Författare :Elisabeth Ehrlich; Elin Mattsson; [2024]
    Nyckelord :;

    Sammanfattning : The purpose of this literature study is to examine, through existing research, the relationship between yoga-based practices in school and the mental health and well-being of students and teachers in an increasingly stressed and high-performing world. Our questions are: What does research say about yoga-based practices in relation to mental health and well-being in schools in different countries? What methods have been used for research on yoga-based practices and mental health and well-being in schools in different countries? What methods have been used for the implementation of yoga-based practices in schools? In order to achieve the aim and answer our questions, we have chosen to do a systematic literature study. LÄS MER

  2. 2. Role of assistive technology in enhancing perticipation of children with disabilities in basic education in Nigeria. Exploring the Perspective of Special Education Teachers

    Master-uppsats, Göteborgs universitet/Institutionen för pedagogik och specialpedagogik

    Författare :Seye Kenith Ayantoye; [2023-07-03]
    Nyckelord :Assistive Technology; Basic Education; Disabilities; Children Participation;

    Sammanfattning : Aim: The core objective of this study is to investigate how assistive technology can be used to facilitate access to basic education among children with disabilities in Nigeria. Drawing on teachers’ perspective, the study investigated how assistive technology facilitates children wtih disabilities inclusion and engagement with classroom learning and how assistive technology is used to solve learning problems and its challenges Theory: Social model for disability was used to explain the conceptual meaning of disabilities in this study. LÄS MER

  3. 3. Machine Learning model applied to Reactor Dynamics

    Master-uppsats, KTH/Fysik

    Författare :Dionysios Dimitrios Nikitopoulos; [2023]
    Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER

  4. 4. Terapeuters upplevelse av arbetet med klientens agens i psykoterapi : En kvalitativ intervjustudie

    Uppsats för yrkesexamina på avancerad nivå, Linnéuniversitetet/Institutionen för psykologi (PSY)

    Författare :Simone Thejll; Tim Önning; [2023]
    Nyckelord :agency; therapists experience; thematic analysis; psychotherapy; agens; terapeuters upplevelse; tematisk analys; psykoterapi;

    Sammanfattning : Agens, vilket definieras som klientens upplevelse av att intentionellt kunna handla utifrån önskade och förväntade utfall, men också upplevelsen av att kunna påverka utgången av sitt liv, har i tidigare forskning lyfts fram som en potentiell common factor och psykologisk förändringsmekanism vid psykoterapeutisk behandling. Föreliggande studie syftade till att undersöka terapeuters upplevelse av arbetet med klientens agens i psykoterapi. LÄS MER

  5. 5. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Gren; Klara Lundgren; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. LÄS MER