INTERACTION OF KINDERGARTEN AND FAMILY IN THE MATHEMATICAL DEVELOPMENT OF PRESCHOOLERS

The relevance of the study of the interaction of kindergarten and family in the mathematical development of preschoolers is due to the fact that the unification of the family and kindergarten in one educational space implies the cooperation of teachers and parents. The mathematical development of preschool children will be successful if the teacher interacts with parents. Only cooperation between the kindergarten and the family can ensure the effectiveness of educational activities in the mathematical development of a preschool child. It is necessary to select the forms and methods of organizing this interaction, taking into account the age characteristics of children and the settings of the Federal State Educational Standard (complex tasks, integration of different types of activities, individualization of the child's mathematical development, etc.) in the mathematical development of preschool children. The work of a preschool teacher on the mathematical development of children is particularly time-consuming and requires a lot of pedagogical attention. Mathematical knowledge of preschoolers, such as counting down to ten in ascending and descending order; the ability to recognize numbers in a row and randomly, quantitative (one, two, three...) and ordinal (first, second, third...); to study and present the basic geometric shapes (triangle, square, circle, and others); the basic forms of measurement: the ability to measure length, volume, width, height using a conditional measurement measure; comparison of objects: heavier-lighter, larger-smaller, wider-narrower, higher-lower; the ability to navigate in space and time, etc., will later be the basis for school education.

Evaluation of Naïve Bayes and Chi-Square performance for Classification of Occupancy House

Occupancy status is one indicator of the rehabilitation and reconstruction program to support eruption victims in Indonesia. It needs to establish the rehabilitation and reconstruction in digital system with structured database. In this paper, we provide dataset 2,146 occupied and 370 unoccupied houses. We utilize a naive Bayes classifier to classify the objects and implement a chi-square algorithm to measure comparison data to actual observed data. This research uses a combination of Naive Bayes and Chi-Square by applying weighting to the dataset attributes. Our study conclude that the combination of the algorithms can achieve a promosing result in classifying the occupancy houses status. The combination of the proposed technique gain 89.59% accuracy and ROC-AUC value 0.839. Therefore, our approach is better than the standard Naive Bayes without combination with the Chi-Square approach

Anxiety and depression on an acute respiratory ward

Objectives: Psychological difficulties are a common complication among patients with respiratory disease, and are associated with poorer health outcomes and increased use of healthcare. As prevalence studies typically sample patients from community settings, this study aimed to explore the extent and nature of psychological difficulties during acute hospital admission. Methods: A case example of an acute respiratory ward is presented. In total, 41 acute respiratory inpatients completed standardised measures of depression, anxiety, and health anxiety. Results: Rates of clinically significant depression, anxiety, and health anxiety were 71%, 40%, and 21%, respectively, with 76% of participants showing clinically significant scores on at least one measure. Comparison to existing literature suggests depression rates may be elevated in the acute inpatient context. The difficulties experienced encompassed both contextual factors related to being in hospital and broader health concerns. Conclusion: We suggest that psychological distress may be particularly prevalent in inpatient settings and that larger-scale studies are warranted.