NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Shearer, David A.; Kilduff, Liam P.; Finn, Charlotte; Jones, Rhys M.; Bracken, Richard M.; Mellalieu, Stephen D.; Owen, Nic; Crewther, Blair T.; Cook, Christian J. – Research Quarterly for Exercise and Sport, 2015
Purpose: There is demand in applied sport settings to measure recovery briefly and accurately. Research indicates mood disturbance as the strongest psychological predictor of mental and physical recovery. The Brief Assessment of Mood (BAM) is a shortened version of the Profile of Mood States that can be completed in less than 30 s. The purpose of…
Descriptors: Foreign Countries, Team Sports, Psychological Patterns, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Fudalej, Sylwia; Ilgen, Mark; Fudalej, Marcin; Kostrzewa, Grazyna; Barry, Kristen; Wojnar, Marcin; Krajewski, Pawel; Blow, Frederic; Ploski, Rafal – Suicide and Life-Threatening Behavior, 2010
The association between suicide and a single nucleotide polymorphism (rs1386483) was examined in the recently identified tryptophan hydroxylase 2 (TPH2) gene. Blood samples of 143 suicide victims and 162 age- and sex-matched controls were examined. The frequency of the TT genotype in the TPH2 polymorphism was higher in suicide victims than in…
Descriptors: Suicide, Victims, Genetics, Sampling
Chauliac, Michel; Masse-Raimbault, Anne-Marie – Children in the Tropics, 1989
The assessment of individual or community nutritional status involves the use of indicators; when properly analyzed and interpreted, these may be used to decide what strategies to implement, or how to orient activities aimed at improving nutritional status. In primary health care programs, one approach which remains underused involves obtaining…
Descriptors: Age Differences, Biochemistry, Body Height, Data Analysis
Peer reviewed Peer reviewed
Leydesdorff, Loet – Journal of the American Society for Information Science, 1997
Reports on a study that analyzed and compared a restricted set of full-text articles from a sub-specialty of biochemistry in terms of co-occurrences and co-absences of words. The consequences for the lexicographical approach to generating artificial intelligence from scientific texts are discussed. (JAK)
Descriptors: Artificial Intelligence, Biochemistry, Concept Mapping, Journal Articles