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Discursive research on perceptions of sexual violence in the discussion sparked by the comprehensive reform of the sexual offense legislation
No full textAnkkuroituminen edellisen 52 viikon korkeimpaan hintaan yrityskaupoissa Länsi-Euroopassa
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Exploring essential digital competencies for gerontological social workers: A case study in China
No full textIn today’s digital society, digital competence is crucial for gerontological social workers (GSWs) to support the well-being of older adults and promote professional development. However, there remains a significant gap in understanding what essential digital competencies GSWs should have. This case study aims to explore the essential digital competencies for GSWs based on the DigComp 2.2 framework. Data were collected through reflective assignments from social work students (N = 44), focus group interviews with gerontological social work practitioners (N = 2) and in-depth interviews with nursing home employers (N = 2). Through thematic analysis, we summarized the essential digital competencies for GSWs as follows: 1) Searching for, filtering, and evaluating information and data in social work practice; 2) Using digital technologies for communication and interaction; 3) Creating digital content for social work service; 4) Protecting personal data and privacy in digital environments; and 5) Enhancing the social worker’s digital competence for professional practice. These finding would inform future course development aimed at cultivating digital competencies for GSWs
Sisäkorvaistute - kenelle ja milloin?
No full textSisäkorvaistutekuntoutus on ainoa hoitomuoto, jolla voidaan palauttaa ihmisen menetetty tai synnynnäisesti puuttuva aisti. Oikein kohdennettuna sen on todettu parantavan potilaiden kuulonvaraista suoriutumiskykyä ja elämänlaatua. Aikuispotilaiden sisäkorvaistutekuntoutusta hyödynnetään edelleen liian harvoin. Syitä tähän ovat niin potilaiden kuin terveydenhuollon ammattilaistenkin tietämättömyys sisäkorvaistutteista kuntoutusvaihtoehtona, hoidon suuret kustannukset verrattuna kuulokojekuntoutukseen sekä hoitoon liittyvä leikkaushoito, joka saatetaan kokea riskialttiiksi ja raskaaksi. Nykymuotoinen sisäkorvaistutekuntoutuksen prosessi on kuitenkin kustannusvaikuttava, ja leikkaustekniikat ovat kehittyneitä sekä turvallisia. Sisäkorvaistute-ehdokkuuden asianmukainen tunnistaminen edellyttäisi järjestelmällistä kuulokojekuntoutuksen hyödyn seurantaa, mutta tähän ei ole riittäviä resursseja Suomen terveydenhuoltojärjestelmässä
Genome-Wide Association Study of Normal Pressure Hydrocephalus : Insights into the Genetic and Familial Background of the Clinical Syndrome
No full textAlkuperäiskansojen tietämys ja käytännöt ilmastonmuutokseen sopeutumisessa: ryhmäkeskustelu ja osallistava kartoitusmenetelmä mangrovemetsävaroista Ghanan länsi- ja keskiosassa
No full textConsumer Perception of Fairness and Trust in Frequent Discount Campaigns in Finnish Grocery Retail
No full textUAV LiDAR surveys and machine learning improve snow depth and water equivalent estimates in boreal landscapes
No full textClimate change is rapidly altering snow conditions worldwide, and northern regions are experiencing particularly significant impacts. As these regions are experiencing faster warming than the global average, understanding snow distribution and its properties at both global and local scales is critical for effective water resource management and environmental protection. While satellite data and point measurements provide valuable information for snow research and models, they are often insufficient for capturing local-scale variability. To address this gap, we integrated UAV LiDAR with daily reference measurements, snow course measurements, and a machine learning (ML) approach. Using ML clustering, we generated high-resolution (1 m) snow depth and snow water equivalent (SWE) maps for two study areas in northern Finland. Data were collected through four different field campaigns during the 2023–2024 winter season. The results indicate that snow distribution in the study areas can be classified into three categories based on land cover: forested areas, transition zones with bushes, and open areas (namely peatlands), each showing different snow accumulation and ablation dynamics. Cluster-based modelled SWE values for the snow courses gave good overall accuracy, with RMSE values of 31–36 mm. Compared to snow course measurements, the cluster-based model approach enhances the spatial and temporal coverage of continuous SWE estimates, offering valuable insights into local snow patterns at the different sites. Our study highlights the influence of forests and forest gaps on snow accumulation and melt processes, emphasizing their role in shaping snow distribution patterns across different landscape types in the Arctic boreal zone. The results improve boreal snow monitoring and water resource management, offer new tools and high-resolution spatiotemporal data for local stakeholders working with hydrological forecasting and climate adaptation, and support satellite-based observations