Living conditions for the disabled 10 years after the HVPU-reform, 2001, living conditions

The project "Living conditions of intellectually disabled people ten years after resettlement in the community" consist of three surveys: 1. A survey of the living conditions for adults with an intellectual disability who live in their own home/shared houses. 2. A survey of their next of kins' opinions on the services the municipality offers, and their experiences with changes after the resettlement reform was carried out. 3. A suvey of initiatives and services available to adults with an intellectual disabilitiy who lives together with their parents/family. The reasons why some mentally impaired people live at home are adressed. The dataset documented here is from the survey of the living conditions for adults with an intellectual disability who live in their own home/shared houses. The project's main goal is tho shed light on the living conditions and services provided for adults with an intellectual disability in Norway. How was the actual situation 10 years after the dismantling of the Health care for mentally imparied (HVPU), both for those coming from an HVPU-institution as well as for those who never received HVPU services? The leader of the project was Professor Jan Tøssebro, Department of Social Work and Health Science, NTNU Trondheim. THe project co-worker Hege Lundeby prepared the notes for the surveys. The project was carried out by Department of Social Work and Health Science, NTNu and financed by the Research Council of Norway

Stroke case - Smart Belt Dataset

<p><span><span>The dataset contains 22,056,714 samples collected from patients with stroke. The data was gathered using a smart belt with accelerometer and gyroscope sensors. Two belts were used to record the physical activities of the patients, where Belt 1 (B1) comprised 3,158,873 samples, and Belt 2 (B2) contained 18,897,841 samples. Each belt was attached at specific body locations around the waist, including the left, right, and middle hip. The variables generated from the sensors were recorded at a frequency of 100Hz and are described as follows:</span></span></p> <ol> <li> <p><span><span><strong>Packet ID</strong></span></span><span><span>: distinguishes data packets that change with time. </span></span></p> </li> <li> <p><span><span><strong>Timestamp:</strong></span></span><span><span> the time that a reading was taken on a sensor</span></span></p> </li> <li> <p><span><span><strong>Timer:</strong></span></span><span><span> Timer of the sensor</span></span></p> </li> <li> <p><span><span><strong>Acceleration X:</strong></span></span><span><span> Linear acceleration in the X-axis</span></span></p> </li> <li> <p><span><span><strong>Acceleration Y:</strong></span></span><span><span> Linear accelerations in the y-axis </span></span></p> </li> <li> <p><span><span><strong>Acceleration Z:</strong></span></span><span><span> Linear acceleration in the z-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope X:</strong></span></span><span><span> Angular acceleration in the x-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope Y:</strong></span></span><span><span> Angular acceleration in the y-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope Z:</strong></span></span><span><span> Angular acceleration in the z-axis</span></span></p> </li> <li> <p><span><span><strong>Temperature:</strong></span></span><span><span> internal temperature for signal compensation</span></span></p> </li> </ol> <p><span><span>After acquiring raw sensor signals, a series of minor preprocessing tasks were performed on this dataset. These include reformatting the data with a suitable format, removing null values, and preparing the data for analysis.</span></span></p&gt

Genomics of Adaptation to Environmental Change in Two Wild Bird Populations, 2012

The purpose of this project was to develop a custom SNP array for genotype-phenotype mapping and also to understand how natural selection influences the genome. The DNA samples are taken from blood samples from house sparrows during field work. The data derives from four different islands on the Helgeland coast of Norway that are a part of a long-term study on house sparrows. The data material consists of genotypes from 1898 individuals and 6318 SNP. Two additional NFR projects have contributed to generating these data: "The Genetic Basis of Response to Selection in Natural Bird Populations - Insight from State-of-the-Art Genomics Analyses" (191847) and "The Effect of Population Size on Short-Term Rates of Evolution in Natural Populations" (221956)

Learning Environment in Telenor Net Division Region Mid-Norway - A Study of Firms Learning Environment and Connections between Learning Environment and Personality Dimentions, 1996

A dissertation in pedagogy at NTNU. The main aim of the survey: contribute to bringing the informal education in relation to everyday tasks in Telenor NRM up to date. Three main questions are answered: 1) How the employees at Telenor NMR assess the firm's education environment; 2) What pattern of personality types and categories exists among the employees at Telenor NMR and in three selected units within the firm; 3) What connections there are between the Myers-Briggs categories and the employees assessment of the firms learning environment. A quality oriented description of the learning environment in Telenor NRM is offered (pros and cons). Also, representative personality types among the employees (Myers-Briggs) are described. At last, it has been carried through analysis to reveal whether employees personality culture(-type) affects how they assess their learning environment. The data can only be reused by project leader

Between hunter and climate: the effects of hunting and environmental change on fecal glucocorticoid metabolite levels in two sympatric ungulate species in the Ruaha-Rungwa ecosystem, Tanzania

Understanding the drivers of animal population decline is a key focus of conservation biologists. Anthropogenic activities such as hunting have long been established as potentially detrimental to a population\u27s persistence. However, environmental perturbations such as increased temperature variability, exacerbated by climate change, can also have important effects on animal populations. Animals can respond to these challenges by adjusting both their behavior and physiology. We measured fecal glucocorticoid metabolites (FGMs) of common impala (Aepyceros melampus) and greater kudu (Tragelaphus strepsiceros), both currently in stable populations, to examine effects of hunting, forage availability, daily variability in temperature and group size on their physiological stress response. The study was conducted across two adjacent protected areas, (i) one non-hunted area (Ruaha National Park; RNP) and (ii) one area used for trophy hunting (Rungwa Game Reserve; RGR). Both impala and kudu had significantly higher FGM levels in the area that allows hunting, while FGM levels decreased with increasing forage availability and increasing daily temperature. Moreover, impala (but not kudu) had lower FGM levels with larger group sizes. Our results indicate that the management regime can significantly alter the physiological state of wild ungulate populations. We also highlight the importance of considering the combined effects of anthropogenic, environmental and social contexts when studying the stress response of wild populations. Our results emphasize the value of protected areas and continued monitoring of hunting quota in order to maintain ungulate populations that are less vulnerable to population declines

A three-stage stochastic facility routing model for disaster response planning

This paper presents a three-stage mixed-integer stochastic programming model for disas- ter response planning, considering the opening of local distribution facilities, initial alloca- tion of supplies, and last mile distribution of aid. The vehicles available for transportation, the state of the infrastructure and the demand of the potential beneficiaries are considered as stochastic elements. Extensive computational testing performed on realistic instances shows that the solutions produced by the stochastic programming model are significantly better than those produced by a deterministic expected value approach

Multiple Sclerosis Smart Belt Dataset - ALAMEDA

<p>The dataset contains 17,135 samples collected from patients with Multiple sclerosis (MS). The data was gathered using a belt sensor with accelerometer and gyroscope sensors. Two belts were used to record the physical activities of the patients, where Belt 4 (B4) comprised 6,981 samples, and Belt 6 (B6) contained 10,154 samples. Each belt was attached at specific body locations around the waist, including the left, right, and middle hip. The variables generated from the sensors were recorded at a frequency of 100Hz and are described as follows:</p> <ol> <li> <p><strong>Packet ID</strong>: distinguishes data packets that change with time.</p> </li> <li> <p><strong>Timestamp:</strong> the time that a reading was taken on a sensor</p> </li> <li> <p><strong>Timer:</strong> Timer of the sensor</p> </li> <li> <p><strong>Acceleration X:</strong> Linear acceleration in the X-axis</p> </li> <li> <p><strong>Acceleration Y:</strong> Linear accelerations in the y-axis</p> </li> <li> <p><strong>Acceleration Z:</strong> Linear acceleration in the z-axis</p> </li> <li> <p><strong>Gyroscope X:</strong> Angular acceleration in the x-axis</p> </li> <li> <p><strong>Gyroscope Y:</strong> Angular acceleration in the y-axis</p> </li> <li> <p><strong>Gyroscope Z:</strong> Angular acceleration in the z-axis</p> </li> <li> <p><strong>Temperature:</strong> internal temperature for signal compensation</p> </li> </ol> <p>After acquiring raw sensor signals, a series of minor preprocessing tasks were performed on this dataset. These include reformatting the data with a suitable format, removing null values, and preparing the data for analysis.</p&gt

Code and Data from 'Describing posterior distributions of variance components: Problems and the use of null distributions to aid interpretation'

Code and data from Pick et al. 2023 'Describing posterior distributions of variance components: Problems and the use of null distributions to aid interpretation' Methods and Ecology and EvolutionJoel Pick, & YimenAraya-Ajoy. (2023). Code and Data from 'Describing posterior distributions of variance components: Problems and the use of null distributions to aid interpretation' (Version v2). Zenodo. https://doi.org/10.5281/zenodo.818961

Associations between attitudes towards scientific misconduct and self-reported behavior

We investigate the relationship between doctoral students’ attitudes towards scientific misconduct and their self-reported behavior. 203 questionnaires were distributed to doctoral candidates at the Faculty of Medicine, University of Oslo 2016/2017. The response rate was 74%. The results show a correlation between attitudes towards misconduct and self-reported problematic behaviors among doctoral students in biomedicine. The four most common reported misbehaviors are adding author(s) who did not qualify for authorship (17.9%), collecting more data after seeing that the results were almost statistically significant (11.8%), turning a blind eye to colleagues’ use of flawed data or questionable interpretation of data (11.2%), and reporting an unexpected finding as having been hypothesized from the start (10.5%). We find correlations between scientific misbehavior and the location of undergraduate studies and whether the respondents have had science ethics lectures previously. The study provides evidence for the concurrent validity of the two instruments used to measure attitudes and behavior, i.e. the Kalichman scale and the Research Misbehavior Severity Score (RMSS). Although the direction of causality between attitudes and misbehavior cannot be determined in this study the correlation between the two indicates that it can be important to engender the right attitudes in early career researchers.</p