A case study: Institutional Factors Affecting Lecturers’ Research Engagement in A University in Mekong Delta region, Vietnam

This case study investigated institutional factors affecting university lecturers’ research engagement in a multidisciplinary higher education institution in the Mekong Delta region, Vietnam. The study employed the interpretive qualitative case study approach with the use of three data collection tools (document analysis, surveys, and recorded semi-structured interviews). In this paper, the authors presented the findings of document analysis and the recorded semi-structured interviews. The findings indicated that institutional factors affecting lecturers’ research engagement in this studied university included governmental policies, funding and structure, resources, teaching loads, leadership and research environment. The paper suggested some recommendations to foster the lecturers’ research engagement in this university

On almost subnormal subgroups in division rings

Let $D$ be a division ring with infinite center $F$, and $G$ an almost subnormal subgroup of $D^*$. In this paper, we show that if $G$ is locally solvable, then $G\subseteq F$. Also, assume that $M$ is a maximal subgroup of $G$. It is shown that if $M$ is non-abelian locally solvable, then $[D:F]=p^2$ for some prime number $p$. Moreover, if $M$ is locally nilpotent then $M$ is abelian.Comment: arXiv admin note: text overlap with arXiv:1809.0035

THE IMPACT OF MOVEMENT GAMES ON MALE PHYSICAL FITNESS IN PHYSICAL EDUCATION COURSES AT SAIGON UNIVERSITY, VIETNAM

Movement games not only help students improve their general fitness but also help increase excitement during exercise. However, the impact of movement games on physical development has not been determined, especially for non-sports majors. The purpose of this study was to find out the impact of movement games on male physical fitness in Physical Education courses. 51 healthy male student volunteers were randomly divided into 3 groups (15w, 7w, and control). Movement games were selected and applied to the experimental group (15w and 7w), while the control group did not apply movement games and practice according to the preset 15-week training program. The results in this study indicated that the application of MG for male students at Saigon University during PE courses had a positive way to enhance general physical fitness (i.e., the explosive power of the legs, agility, speed, and maximal aerobic speed). Future studies should focus on the impact in the time of movement games application, specific characteristics to different schools, as well as the evolution of physical development at each age when using the movement games.  Article visualizations

Locally solvable and solvable-by-finite maximal subgroups of GLn(D)

This paper aims to study solvable-by-finite and locally solvable maximal subgroups of an almost subnormal subgroup of the general skew linear group GLn(D) over a division ring D. It turns out that in the case where D is non-commutative, if such maximal subgroups exist, then either it is abelian or [D : F] < ∞. Also, if F is an infinite field and n ≥ 5, then every locally solvable maximal subgroup of a normal subgroup of GLn(F) is abelian

Investigate the effect of neural network representations on the transferability of adversarial attacks

Deep neural networks have been widely applied in various fields of many industries such as medical, security, and self-driving cars. They even surpass human performance in image recognition tasks; however, they have a worrying property. Neural networks are vulnerable to extremely small and human-imperceptible perturbations in images that lead them to provide wrong results with high confidence. Moreover, adversarial images that fool one model can fool another even with different architecture as well. Many studies suggested that a reason for this transferability of adversarial samples is the similar features that different neural networks learn; however, this is just an assumption and remains a gap in our knowledge of adversarial attacks. Our research attempted to validate this assumption and provide better insight into the field of adversarial attacks. We hypothesize that if a neural network representation in one model is highly correlated to the neural network representations of other models, an attack on that network representation would yield better transferability. We tested this hypothesis through experiments with different network architectures as well as datasets. The results were sometimes consistent and sometimes inconsistent with the hypothesis