Disease gene prediction database

This database includes gene predictions for disease phenotypes based on published Genome-Wide Association Data. May be used to choose primers for phenotype-specific resquencing of patient DNA.
For each prediction for following data is listed: phenotype, predicted gene, significant SNP, datasource, datasource reference.

TrueBlue database

Dataset includes patient demographics (gender, age, date-of-birth, language spoken at home, ATSI status), diagnosis (type-2 diabetes, heart disease), biophysical measures (height, weight, waist, BMI, cholesterol including LDL and HDL, hbA1c), depression and depression treatment, exercise, and patient goals.

EFP-M2 : efficient model for mining frequent patterns in transactional database

Discovering frequent patterns plays an essential role in many data mining applications. The aim of frequent patterns is to obtain the information about the most common patterns that appeared together. However, designing an efficient model to mine these patterns is still demanding due to the capacity of current database size. Therefore, we propose an Efficient Frequent Pattern Mining Model (EFP-M2) to mine the frequent patterns in timely manner. The result shows that the algorithm in EFP-M2l is outperformed at least at 2 orders of magnitudes against the benchmarked FP-Growth.

What is a cinema? Death, closure and the database

This chapter explores the possible ontological questions and epistemological propositions that arise from detailed empirical research into cinema closures. Repeated pronouncements of the ‘Death of Cinema’ in the wake of technological, social and industrial change serve to reinforce the coincidence of ‘death’ with a type of ‘closure’. The evocation of a ‘crisis’ in the cinema is ordinarily articulated within the terms of specific cultural concerns around transience and transformation in the social experience of the cinema. However, rather than adding another chapter to the apocalyptic historiography of the cinema this paper proposes instead the constitutive importance of ‘closure’ as a critical tool for rethinking our defining assumptions about cinema(s). Specifically, the chapter will demonstrate how the conceptual granularity entailed in the development of a detailed database of venue openings and closings (the Cinema and Audiences in Australia Project database) can in turn lead to a fundamental reconsideration of the ontology of the cinema itself.

Database of peer review publications written by occupational therapists about mental health

An Excel spreadsheet which includes every peer reviewed publication written by occupational therapists in mental health since 2000. It is updated each January to include the previous years publications. Information recorded includes author number, author designation, bibliographic details (i.e. title, journal), categorisation according to doing/being/becoming/belonging, levels of evidence and days between submission and acceptance, and acceptance and publication.

Creating the Iraq cultural property destruction database: calculating a heritage destruction index

Over the past decade there have been constant reports of damage to significant cultural property in several complex (post-)conflict and (post-)revolutionary states. Recent events in Syria, Mali, Libya, Egypt, Tunisia, Afghanistan and Iraq – as devastating as they have been for people – have also had dramatic consequences for a number of important cultural heritage sites. Despite the severity of these events and global concern, the field of heritage studies has not developed a methodology for cataloguing such heritage destruction in a database. Addressing this paucity in the literature, this article details the methodology developed to produce the Iraq Cultural Property Destruction database, the world’s first database to document the destruction of cultural property in Iraq. This article also documents the calculation of the Heritage Destruction Index – a scale for measuring both the heritage ‘significance’ of a site and the overall level of destruction. Finally, this article also demonstrates the manifold uses of such a database in measuring and monitoring heritage destruction in Iraq. This study therefore sets a significant precedent in heritage studies by providing methods that can be applied to other contexts (past, present and future) to document the destruction of cultural property in complex contexts.

Development and piloting of an exposure database and surveillance system for DOE cleanup operations

An industrial hygiene exposure database and surveillance system was developed in partnership between National Institute for Occupational Safety and Health (NIOSH)-funded independent investigators and practicing industrial hygienists at the Rocky Flats Environmental Technology Site (RFETS) in Golden, Colo. RFETS is a former U.S. Department of Energy nuclear weapons plant that is now in cleanup phase. This project is presented as a case study in the development of an exposure database and surveillance system in terms that are generalizable to most other industries and work contexts. Steps include gaining organizational support; defining system purpose and scope; defining database elements and coding; planning practical and efficient analysis strategies; incorporating reporting capabilities; and anticipating communication strategies that maximize the probability that surveillance findings will feed back to preventive applications. For each of these topics, the authors describe both general considerations as well as the specific choices made for this system. An important feature of the system is a two-tier task-coding scheme comprising 33 categories of task groups. Examples of grouped analyses of exposure data captured during the system pilot period demonstrate applications to exposure control, medical surveillance, and other preventive measures. Reprinted by permission of the publisher.

Development of an exposure database and surveillance system for use by practicing OSH professionals

This report summarizes the development of an occupational exposure database and surveillance system for use by health and safety professionals at Rocky Flats Environmental Technology Site (RFETS), a former nuclear weapons production facility. The site itself is currently in the cleanup stage with work expected to continue into 2006. The system was developed with the intent of helping health and safety personnel not only to manage and analyze exposure monitoring data, but also to identify exposure determinants during the highly variable cleanup work. Utilizing a series of focused meetings with health and safety personnel from two of the major contractors at RFETS, core data elements were established. These data elements were selected based on their utility for analysis and identification of exposure determinants. A task-based coding scheme was employed to better define the highly variable work. The coding scheme consisted of a two-tiered hierarchical list with a total of 34 possible combinations of work type and task. The data elements were incorporated into a Microsoft Access database with built-in data entry features to both promote consistency and limit entry choices to enable stratified analyses. In designing the system, emphasis was placed on the ability of end users to perform complex analyses and multiparameter queries to identify trends in their exposure data. A very flexible and user-friendly report generator was built into the system. This report generator allowed users to perform multiparameter queries using an intuitive system with very little training. In addition, a number of automated graphical analyses were built into the system, including ex posure levels by any combination of building, date, employee, job classification, type of contaminant, work type or task, exposure levels over time, exposure levels relative to the permissible exposure limit (PELS), and distributions of exposure levels. Both of these interfaces, allow the user to ''drill down'' or gradually narrow query criteria to identify specific exposure determinants. A number of other industrial hygiene processes were automated by the use of this database. Exposure calculations were coded into the system to allow automatic calculation of time-weighted averages and sample volumes. In addition, a table containing all the PELs and other relevant occupational exposure limits was built into the system to allow automatic comparisons with the current standards. Finally, the process of generating reports for employee notification was automated. The implementation of this system demonstrates that an integrated database system can save time for a practicing hygienist as well as provide useful and more importantly, timely information to guide primary prevention efforts.

Objectively measured physical activity and sedentary time in youth: The International children's accelerometry database (ICAD)

Background: Physical activity and sedentary behaviour in youth have been reported to vary by sex, age, weight status and country. However, supporting data are often self-reported and/or do not encompass a wide range of ages or geographical locations. This study aimed to describe objectively-measured physical activity and sedentary time patterns in youth. Methods: The International Children's Accelerometry Database (ICAD) consists of ActiGraph accelerometer data from 20 studies in ten countries, processed using common data reduction procedures. Analyses were conducted on 27,637 participants (2.8-18.4 years) who provided at least three days of valid accelerometer data. Linear regression was used to examine associations between age, sex, weight status, country and physical activity outcomes. Results: Boys were less sedentary and more active than girls at all ages. After 5 years of age there was an average cross-sectional decrease of 4.2 % in total physical activity with each additional year of age, due mainly to lower levels of light-intensity physical activity and greater time spent sedentary. Physical activity did not differ by weight status in the youngest children, but from age seven onwards, overweight/obese participants were less active than their normal weight counterparts. Physical activity varied between samples from different countries, with a 15-20 % difference between the highest and lowest countries at age 9-10 and a 26-28 % difference at age 12-13. Conclusions: Physical activity differed between samples from different countries, but the associations between demographic characteristics and physical activity were consistently observed. Further research is needed to explore environmental and sociocultural explanations for these differences.