Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models

2018 ◽  
Author(s):  
Saptashwa Mitra ◽  
Yu Qiu ◽  
Haley Moss ◽  
Kaigang Li ◽  
Sangmi Lee Pallickara
Keyword(s):  
Predictive Models ◽  
Longitudinal Survey ◽  
Effective Integration

Spearman's Law of Diminishing Returns

2006 ◽  
Vol 27 (4) ◽  
pp. 199-207 ◽  
Author(s):  
Peter Hartmann
Keyword(s):  
Principal Axis ◽  
Age Groups ◽  
Principal Component ◽  
Longitudinal Survey ◽  
Male And Female ◽  
Two Samples ◽  
Diminishing Returns ◽  
The One ◽  
Armed Services ◽  
Principal Axis Factor

Spearman's Law of Diminishing Returns (SLODR) with regard to age was tested in two different databases from the National Longitudinal Survey of Youth. The first database consisted of 6,980 boys and girls aged 12–16 from the 1997 cohort ( NLSY 1997 ). The subjects were tested with a computer-administered adaptive format (CAT) of the Armed Services Vocational Aptitude Battery (ASVAB) consisting of 12 subtests. The second database consisted of 11,448 male and female subjects aged 15–24 from the 1979 cohort ( NLSY 1979 ). These subjects were tested with the older 10-subtest version of the ASVAB. The hypothesis was tested by dividing the sample into Young and Old age groups while keeping IQ fairly constant by a method similar to the one developed and employed by Deary et al. (1996) . The different age groups were subsequently factor-analyzed separately. The eigenvalue of the first principal component (PC1) and the first principal axis factor (PAF1), and the average intercorrelation of the subtests were used as estimates of the g saturation and compared across groups. There were no significant differences in the g saturation across age groups for any of the two samples, thereby pointing to no support for this aspect of Spearman's “Law of Diminishing Returns.”

Actual Problems of Economic Policy

2003 ◽  
pp. 23-38 ◽  
Author(s):  
M. Ershov
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Foreign Exchange ◽  
World Economy ◽  
Domestic Economy ◽  
The World ◽  
Exchange Policy ◽  
Effective Integration

At present Russia faces the task of great importance - effective integration into the world economy. The success of this process largely depends on the strength of the domestic economy and stable economic growth. To attain such a goal certain changes in economic approaches are required which imply more active, focused and concerted steps in the monetary, fiscal and foreign exchange policy.

Entrepreneurial Mindset

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Nusa FAIN ◽  
Michel ROD ◽  
Erik BOHEMIA
Keyword(s):  
Influencing Factors ◽  
Future Study ◽  
Engineering Students ◽  
Initial Study ◽  
Longitudinal Survey ◽  
Teaching Approaches ◽  
Approaches To Teaching ◽  
Design Students ◽  
Commerce Students ◽  
Case Based

This paper explores the influence of teaching approaches on entrepreneurial mindset of commerce, design and engineering students across 3 universities. The research presented in this paper is an initial study within a larger project looking into building ‘entrepreneurial mindsets’ of students, and how this might be influenced by their disciplinary studies. The longitudinal survey will measure the entrepreneurial mindset of students at the start of a course and at the end. Three different approaches to teaching the courses were employed – lecture and case based, blended online and class based and fully project-based course. The entrepreneurial mindset growth was surprisingly strongest within the engineering cohort, but was closely followed by the commerce students, whereas the design students were slightly more conservative in their assessments. Future study will focus on establishing what other influencing factors beyond the teaching approaches may relate to the observed change.

A CUSTOMISED FRAMEWORK FOR EFFECTIVE PODCAST INTEGRATION IN A SOUTH AFRICAN HIGHER EDUCATION ENVIRONMENT

2016 ◽  
Vol 38 (1) ◽  
pp. 14-32
Author(s):  
Shane Pachagadu ◽  
Liezel Nel
Keyword(s):  
Higher Education ◽  
Conceptual Framework ◽  
South African ◽  
Teaching And Learning ◽  
Teaching And Learning Environment ◽  
Education Environment ◽  
University Of Technology ◽  
African Higher Education ◽  
South African Higher Education ◽  
Effective Integration

Numerous studies have explored the potential of podcast integration in teaching and learning environments. This paper first presents and organises perspectives from literature in a conceptual framework for the effective integration of podcasting in higher education. An empirical study is then discussed in which the guidelines presented in the framework were evaluated for applicability in a selected course at a South African University of Technology. Since the results of the study revealed a number of aspects not accounted for in the conceptual framework, the framework was customised to make it more applicable for the particular higher education environment. The customised framework identifies four principles and a series of related guidelines for the effective integration of podcasts in a South African higher education teaching and learning environment. This framework can become a valuable resource for effective podcast integration in similar environments.

Epigenetic Target Prediction with Accurate Machine Learning Models

2021 ◽  
Author(s):  
Norberto Sánchez-Cruz ◽  
Jose L. Medina-Franco
Keyword(s):  
Machine Learning ◽  
Small Molecules ◽  
Predictive Models ◽  
Large Scale ◽  
Target Prediction ◽  
Quantitative Measure ◽  
Learning Models ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Machine Learning Models

<p>Epigenetic targets are a significant focus for drug discovery research, as demonstrated by the eight approved epigenetic drugs for treatment of cancer and the increasing availability of chemogenomic data related to epigenetics. This data represents a large amount of structure-activity relationships that has not been exploited thus far for the development of predictive models to support medicinal chemistry efforts. Herein, we report the first large-scale study of 26318 compounds with a quantitative measure of biological activity for 55 protein targets with epigenetic activity. Through a systematic comparison of machine learning models trained on molecular fingerprints of different design, we built predictive models with high accuracy for the epigenetic target profiling of small molecules. The models were thoroughly validated showing mean precisions up to 0.952 for the epigenetic target prediction task. Our results indicate that the herein reported models have considerable potential to identify small molecules with epigenetic activity. Therefore, our results were implemented as freely accessible and easy-to-use web application.</p>

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