Early Identification and Characterization of Students Who Drop Out in the First Year at University

2014 ◽  
Vol 16 (1) ◽  
pp. 95-109 ◽  
Author(s):  
G. J. A. Baars ◽  
I. J. M. Arnold
Keyword(s):  
Early Identification ◽  
Drop Out ◽  
First Year ◽  
Identification And Characterization

scholarly journals Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chandrakanta S. Hiremath ◽  
Kommu John Vijay Sagar ◽  
B. K. Yamini ◽  
Akhila S. Girimaji ◽  
Raghavendra Kumar ◽  
...  
Keyword(s):  
Early Identification ◽  
Longitudinal Research ◽  
Pathological Condition ◽  
Neurodevelopmental Disorder ◽  
Behavioral Assessment ◽  
Autism Spectrum ◽  
Quantitative Mri ◽  
Assessment Tools ◽  
Identification And Characterization

AbstractThe possibility of early treatment and a better outcome is the direct product of early identification and characterization of any pathological condition. Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairment in social communication, restricted, and repetitive patterns of behavior. In recent times, various tools and methods have been developed for the early identification and characterization of ASD features as early as 6 months of age. Thorough and exhaustive research has been done to identify biomarkers in ASD using noninvasive neuroimaging and various molecular methods. By employing advanced assessment tools such as MRI and behavioral assessment methods for accurate characterization of the ASD features and may facilitate pre-emptive interventional and targeted therapy programs. However, the application of advanced quantitative MRI methods is still confined to investigational/laboratory settings, and the clinical implication of these imaging methods in personalized medicine is still in infancy. Longitudinal research studies in neurodevelopmental disorders are the need of the hour for accurate characterization of brain–behavioral changes that could be monitored over a period of time. These findings would be more reliable and consistent with translating into the clinics. This review article aims to focus on the recent advancement of early biomarkers for the characterization of ASD features at a younger age using behavioral and quantitative MRI methods.

scholarly journals Determination of Fire and Explosion Characteristics of Dust

2016 ◽  
Vol 11 (2) ◽  
pp. 36-42
Author(s):  
Matej Menčík ◽  
Richard Kuracina ◽  
Zuzana Szabová ◽  
Karol Balog
Keyword(s):  
Industrial Production ◽  
Early Identification ◽  
Industrial Dust ◽  
Dust Clouds ◽  
Fire And Explosion ◽  
Identification And Characterization ◽  
Dust Reduction

Abstract The aim of this paper is to approximate danger of dust clouds normally occur by determining their explosion characteristics. Nowadays, dusty environment is phenomenon in the industry. In general, about 70% of dust produced is explosive. Dust reduction in companies is the main purpose of the national and European legislative. Early identification and characterization of dust in companies may reduce the risk of explosion. It could be used to identify hazards in industrial production where an explosive dust is produced. For this purpose several standards for identification and characterization of explosion characteristics of industrial dust are being used.

Identification and characterization of aldose reductase in cultured rat mesangial cells

Diabetes ◽  
1992 ◽  
Vol 41 (9) ◽  
pp. 1165-1171 ◽  
Author(s):  
R. Kikkawa ◽  
K. Umemura ◽  
M. Haneda ◽  
N. Kajiwara ◽  
S. Maeda ◽  
...  
Keyword(s):  
Aldose Reductase ◽  
Mesangial Cells ◽  
Identification And Characterization
Sign in / Sign up

Export Citation Format

Share Document