New statistical methods allow discovery of causal models from observational data in some circumstances. These models permit both probabilistic inference and causal inference for models of reasonable size. Many domains, such as education, can benefit from such methods. Educational research does not easily lend itself to experimental investigation. Research in laboratories is artificial and poten...

the purpose of this study was to determine the effect of farmer field school (ffs) approach on adoption of biological control by rice farmers. the research population consisted of 72 farmers who had participated in ffs and 346 who had not participated in ffs, selected through randomized sampling method. the methodological approach of the study was twofold: descriptive-correlative and causal-com...

background and aims. previous researches, conducted mostly on extracted teeth, have shown that efficacy of calculus removal decreases with increasing pocket depth, but there is still a lack of clinical studies concerning the correlation be-tween residual calculus and varying pocket depths. the objective of the present clinical study was to assess the efficiency of mechanical tooth depuration by...

Background: A patient with multiple myeloma developed myelodysplastic syndrome (MDS). Chromosomal analysis performed after the development of MDS revealed monosomy of chromosome 9 in all the meta-phases. We wished to identify the extent of the clone with the chromosomal abnormality originating from MDS clone. Methods: A correlative interphase study by fluorescence in situ hybridization (FISH) w...

Obesity, a clinical condition that is on the rise internationally and highly associated to lower testosterone levels in males, most strongly linked condition. In addition this, it one of reliable signs guy may require replacement medication. When comes obesity, severity can determine whether hypothalamic-pituitary-testicular axis (HPT) suppressed. Moderate other hand, typically characterized by...

Causality is a complex concept, which roots its developments across several fields, such as statistics, economics, epidemiology, computer science, and philosophy. In recent years, the study of causal relationships has become crucial part Artificial Intelligence community, causality can be key tool for overcoming some limitations correlation-based Machine Learning systems. research generally div...