Search protocol

Search protocol for article: Conceptualizing attunement in dementia care- a meta-ethnographic revie

Supplementary Material

Supplementary material. Exploration of non-verbal interactions between music therapists and persons with dementi

Curriculum Vitae

Kort biografi for Prof. David Budtz PedersenShort bio for Prof. David Budtz Pederse

ComPara: A Corpus Linguistics Dataset of Computation in Architecture

A corpus linguistics built to study the language of computational architecture, or architecture which focuses on technology developments. The corpus includes: (1) the volume titles, titles of articles and introduction keywords for the journal Architectural Design (AD) to retrieve keynotes in theoretical discourse, and (2) titles and abstracts of winning and honourable mentions of the eVolo Skyscraper competition to retrieve words in conceptual project titles and their descriptions. This dataset has around 100.000 words and can serve as a basis for quantitative, qualitative or mixed method analysis of the language used in AD and the eVolo skyscraper competition between 2005 and 2019. As AD is recognized as one of the journals focusing on the 'digital turns' in architecture, and eVolo is a the most prestigious architectural competitions which focus on technological advances in architetcure, ComPara can be considered respresentative for the language of computational architecture over the last 15 years. It includes .txt and .csv files as well as .svg and wordclouds

Eating for Two? Protocol of an Exploratory Survey and Experimental Study on Social Norms and Norm-Based Messages Influencing European Pregnant and Non-pregnant Women’s Eating Behavior

The social context is an important factor underlying unhealthy eating behavior and the development of inappropriate weight gain. Evidence is accumulating that powerful social influences can also be used as a tool to impact people’s eating behavior in a positive manner. Social norm-based messages have potential to steer people in making healthier food choices. The research field on nutritional social norms is still emerging and more research is needed to gain insights into why some people adhere to social norms whereas others do not. There are indications stemming from empirical studies on social eating behavior that this may be due to ingratiation purposes and uncertainty reduction. That is, people match their eating behavior to that of the norm set by their eating companion(s) in order to blend in and be part of the group. In this project, we explore nutritional social norms among pregnant women. This population is particularly interesting because they are often subject to unsolicited advice and experience social pressure from their environment. In addition, their pregnancy affects their body composition, eating pattern, and psychosocial status. Pregnancy provides an important window of opportunity to impact health of pregnant women and their child. Nevertheless, the field of nutritional social norms among pregnant women is understudied and more knowledge is needed on whether pregnant women use guidelines from their social environment for their own eating behavior. In this project we aim to fill this research gap by means of an exploratory survey (Study 1) assessing information about social expectations, (mis)perceived social norms and the role of different reference groups such as other pregnant women, family, and friends. In addition, we conduct an online experiment (Study 2) testing to what extent pregnant women are susceptible to social norm-based messages compared to non-pregnant women. Moreover, possible moderators are explored which might impact women’s susceptibility to social norms as well as cultural aspects that co-determine which social norms and guidelines exist. The project’s findings could help design effective intervention messages in promoting healthy eating behavior specifically targeted to European pregnant women.© 2018 Bevelander, Herte, Kakoulakis, Sanguino, Tebbe and Tünt

ComPara: A Corpus Linguistics Dataset of Computation in Architecture

A corpus linguistics built to study the language of computational architecture, or architecture which focuses on technology developments. The corpus includes (1) the volume titles, titles of articles, and keywords associated with the Introduction article of the journal Architectural Design (AD) to retrieve the language in the theoretical discourse around computation in architecture, and (2) titles and abstracts of winning and honorable mentions of the eVolo Skyscraper competition to retrieve words in conceptual project titles and their descriptions. This dataset has around 100.000 words and can serve as a basis for quantitative, qualitative, or mixed-method analysis of the language used in AD and the eVolo skyscraper competition between 2005 and 2019. As AD is recognized as one of the journals focusing on the 'digital turns' in architecture, and eVolo is arguably the most prestigious architectural competition which focuses on technological advances in architecture, ComPara can be considered representative of the language of computational architecture between 2005 and 2019. It includes .txt and .csv files as well as .svg wordclouds

TWikiL - Twitter Wikipedia Link Dataset

The Twitter Wikipedia Link (TWikiL) dataset contains all Tweets posted on Twitter that contain a Wikipedia URL. The data was collected via Twitters academic research access and spans 15 years of Tweets from March 2006 to January 2021. TWikiL comes in two versions: TWikiL_raw is a list of Tweet IDs in CSV format. TWikiL_curated is an SQLite database, which is a curated version of TWikiL containing only links to Wikipedia articles. The curated version has been augmented with the language edition that the URL in the Tweet links to, the Wikidata identifier and a Wikipedia topic category. TWikiL raw contains 44,945,098 Tweet IDs TWikiL curated contains 35,252,782 URLs/Wikidata concepts with 34,543,612 unique Tweets and 474,577 Tweets linking to multiple Wikipedia articles

Additional file 1: of Eliciting meta consent for future secondary research use of health data using a smartphone application - a proof of concept study in the Danish population

The appendix contains a translation of each of the screens in the meta consent application. (DOCX 19 kb