Älä osta mitään -päivän uuden ilmeen konseptisuunnittelu

Tämän opinnäytteen tarkoitus oli kehittää omaa oppimista ja taitoja internetsivujen suunnittelussa ja toteutuksessa. Opinnäytetyössä käytiin läpi projektin eri vaiheita tiiviisti ja miten projektin vaiheet kuuluivat omaan tekemiseen. Älä osta mitään -päivä on Suomessa melko nuori tapahtuma, mutta sitä vietetään maailmanlaajuisesti useissa maissa. Päivän tarkoituksena on levittää tietoa kulutus-kriittisestä toiminnasta ja ekologisista kulutusvaihtoehdoista. Älä osta mitään -päivä kritisoi avoimesti kulutusyhteiskuntaa ja luonnonvarojen holtitonta käyttöä. Suomessa tapahtumaa koordinoi Luonto-Liitto ry, joka alun perin oli tämän projektin toimeksiantaja. Konseptin suunnittelun työvaiheisiin kuului tietojen keruu, luonnostelu, toteuttaminen, testaus, arviointi ja viimeistely. Näitten osioitten tarkastelun jälkeen opinnäytetyössä arvioidaan suunnitteluprosessin merkitystä tekijälleen.The purpose of this thesis was to improve own learning and skills in developing and publishing web design. The thesis went through different parts of a project management in a compact way so that it showed how these parts were present in making of the web design. Buy Nothing Day is a fairly new thing in Finland, but it is globally known and been celebrated in several countries. The purpose of Buy Nothing Day is to spread infor-mation about consumption and how to consume ecologically. Buy Nothing Day openly criticizes society based on consumption and how people carelessly consume natural resources. The day in Finland is maintained by Luonto-Liitto, Finnish non-governmental organization. Project stages of this concept included gathering information, sketching, execution, evaluation and finishing off the concept. After these section this thesis emphasizes what kind of an effect it had to its author

Association between Psychological Distress and Incident Dementia in a Population-Based Cohort in Finland

Publisher Copyright: © 2022 Authors. All rights reserved.Importance: Symptoms of psychological distress have shown association with subsequent dementia, but the nature of association remains unclear. Objective: To examine the association of psychological distress with etiological risk of dementia and incidence of dementia in presence of competing risk of death. Design, Setting, and Participants: This cohort study consisted of population-based cross-sectional National FINRISK Study surveys collected in 1972, 1977, 1982, 1987, 1992, 1997, 2002, and 2007 in Finland with register-based follow-up; and the cohort was linked to Finnish Health Register data for dementia and mortality for each participant until December 31, 2017. Participants included individuals without dementia who had complete exposure data. Data were analyzed from May 2019 to April 2022. Exposures: Self-reported symptoms of psychological distress: stress (more than other people), depressive mood, exhaustion, and nervousness (often, sometimes, never). Main Outcomes and Measures: Incident all-cause dementia, ascertained through linkage to national health registers. Poisson cause-specific hazard model (emphasizing etiological risk) and Fine-Gray subdistribution hazard model (emphasizing effect on incidence) considering dementia and death without dementia as competing risks. Covariates of age, sex, baseline year, follow-up time, educational level, body mass index, smoking, diabetes, systolic blood pressure, cholesterol, and physical activity. Sensitivity analysis was performed to reduce reverse causation bias by excluding individuals with follow-up less than 10 years. Results: Among 67688 participants (34968 [51.7%] women; age range, 25 to 74 years; mean [SD] age, 45.4 years), 7935 received a diagnosis of dementia over a mean follow-up of 25.4 years (range, 10 to 45 years). Psychological distress was significantly associated with all-cause dementia in a multivariable Poisson model, with incidence rate ratios from 1.17 (95% CI, 1.08-1.26) for exhaustion to 1.24 (95% CI, 1.11-1.38) for stress, and remained significant in sensitivity analyses. A Fine-Gray model showed significant associations (with hazard ratios from 1.08 [95% CI, 1.01-1.17] for exhaustion to 1.12 [95% CI, 1.00-1.25] for stress) for symptoms other than depressive mood (hazard ratio, 1.08 [95% CI, 0.98-1.20]). All the symptoms showed significant associations with competing risk of death in both models. Conclusions and Relevance: In this cohort study, psychological distress symptoms were significantly associated with increased risk of all-cause dementia in the model emphasizing etiological risk. Associations with real incidence of dementia were diminished by the competing risk of death.Peer reviewe

Decision making based on data-analysis methods

This technical report is based on four our recent articles:"Data fusion of pre-election gallups and polls for improved support estimates", "Analyzing parliamentary elections based on voting advice application data", "The Finnish car rejection reasons shown in an interactive SOM visualization tool", and "Network visualization of car inspection data using graph layout". Neural methods are applied in political and technical decision making. We introduce decision support schemes based on Self-Organizing Map (SOM) combined with other methods. Visualizations based on various data-analysis methods are developed. In political decision making we have examples from one parliamentary election and one presidential election utilizing opinion data collected beforehand. In technical decision making we concentrate on rejection reasons in car inspection data. This technical report is a summary of our recent non-nuclear studies

Network visualization of car inspection data using graph layout

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