Технология педагогического управления конфликтами в среде иностранных студентов

The article reveals procedure of interaction between the subjects of pedagogical technology, efficiency of pedagogical technology applying and ways to arrange anticonflict activity. The authors studied reasons and types of conflicts and their influence on international students ’ life by means of applyingpredictive methods, observation methods, methods of theoretical analysis and statistic data processing. The paper considers principles of pedagogical management in details. The authors suppose the nature of pedagogical conflict management to lie in correction of contradictions and formation of structurak skills aimed at controlling and managing conflicts.В статье представлен алгоритм взаимодействия субъектов педагогической технологии, условия эффективности ее реализации и способы организации антиконфликтной деятельности. Используя прогностические и обсервационные методы, методы теоретического анализа и статистической обработки данных, авторы изучили причины возникновения и основные виды конфликтов, а также их влияние на жизнедеятельность иностранных студентов. Детально рассматриваются принципы педагогического управления конфликтами. Авторы считают, что сущность педагогического управления конфликтами заключается в коррекции имеющихся противоречий и формировании конструктивных умений координировать и регулировать развитие конфликтной ситуации

sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics.

Gene-based association analysis is an effective gene-mapping tool. Many gene-based methods have been proposed recently. However, their power depends on the underlying genetic architecture, which is rarely known in complex traits, and so it is likely that a combination of such methods could serve as a universal approach. Several frameworks combining different gene-based methods have been developed. However, they all imply a fixed set of methods, weights and functional annotations. Moreover, most of them use individual phenotypes and genotypes as input data. Here, we introduce sumSTAAR, a framework for gene-based association analysis using summary statistics obtained from genome-wide association studies (GWAS). It is an extended and modified version of STAAR framework proposed by Li and colleagues in 2020. The sumSTAAR framework offers a wider range of gene-based methods to combine. It allows the user to arbitrarily define a set of these methods, weighting functions and probabilities of genetic variants being causal. The methods used in the framework were adapted to analyse genes with large number of SNPs to decrease the running time. The framework includes the polygene pruning procedure to guard against the influence of the strong GWAS signals outside the gene. We also present new improved matrices of correlations between the genotypes of variants within genes. These matrices estimated on a sample of 265,000 individuals are a state-of-the-art replacement of widely used matrices based on the 1000 Genomes Project data