A5087296343- Mental Health Research Topics
- Cognitive Abilities and Testing
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Computational Physics and Python Applications
- Fault Detection and Control Systems
- Medical Imaging Techniques and Applications
- Advanced Battery Materials and Technologies
- Machine Fault Diagnosis Techniques
- Psychometric Methodologies and Testing
- Engineering Diagnostics and Reliability
- Control Systems and Identification
- Behavioral and Psychological Studies
- Statistical Methods and Inference
- Radiation Detection and Scintillator Technologies
- Statistical Methods and Bayesian Inference
- Advanced battery technologies research
- Image and Signal Denoising Methods
- Health, Environment, Cognitive Aging
- Child and Adolescent Psychosocial and Emotional Development
- Nuclear Physics and Applications
- Psychological Testing and Assessment
- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Educational and Psychological Assessments
Shenzhen Bay Laboratory
2024
Hunan Normal University
2022
Chengdu University of Information Technology
2022
Tilburg University
2016-2020
This article introduces a package developed for R (R Core Team, 2017) performing an integrated analysis of multiple data blocks (i.e., linked data) coming from different sources. The methods in this combine simultaneous component (SCA) with structured selection variables. key feature is that it allows to (1) identify joint variation shared across all the sources and specific associated one or few (2) flexibly estimate matrices predefined structures. Linked occur many disciplines (e.g.,...
The often-used A(C)E model that decomposes phenotypic variance into parts due to additive genetic and environmental influences can be extended a longitudinal when the trait has been assessed at multiple occasions. This enables inference about nature (e.g., or environmental) of covariance among different measurement points. In case phenotype relies on self-report data questionnaire data), often, aggregated scores sum-scores) are used as proxy for phenotype. However, earlier research based...
Interdisciplinary research often involves analyzing data obtained from different sources with respect to the same subjects, objects, or experimental units. For example, global positioning systems (GPS) have been coupled travel diary data, resulting in a better understanding of traveling behavior. The GPS and are very nature, and, analyze two types jointly, one uses integration techniques, such as regularized simultaneous component analysis (regularized SCA) method. Regularized SCA is an...
As a key component of the underwater operation platform, accurate prediction remaining useful life platform can not only reduce maintenance cost equipment, but also improve intelligence equipment management. In this paper, method based on SSA-SVR is proposed, basis, slow feature analysis combined to accuracy turntable. Finally, results are compared with those wavelet transform. The show that better than
To interpret a person’s change score, one typically transforms the score into, for example, percentile, so that knows location in distribution of scores. Transformed scores are referred to as norms and construction is norming. Two often-used norming methods regression-based approach T Scores Change method. In this article, we discuss similarities differences between these methods, use simulation study systematically examine precision two establish minimum sample size requirements...
A mild, efficient, and low-cost method was designed for recycling cathode materials from spent alkaline batteries into advanced aqueous zinc batteries.
Clinical, medical, and health psychologists use difference scores obtained from pretest–posttest designs employing the same test to assess intraindividual change possibly caused by an intervention addressing, for example, anxiety, depression, eating disorder, or addiction. Reliability of is important interpreting observed change. This article compares well-documented traditional method unfamiliar, rarely used item-level estimating difference-score reliability. We simulated data under various...