FACTORS AFFECTING ENGLISH SCORES AT NATIONAL HIGH SCHOOL EXAM OF SOPHOMORES AT THU DAU MOT UNIVERSITY: EMPIRICAL EVIDENCES FROM GLS METHOD

Through analysis of the DPSIR model, combined with research methods such as field surveys, and survey questionnaires, the author has given the following results: The amount of waste is increasing; Not paying attention to the classification at source, Solid waste collection is still limited; Environmental quality is degraded due to the stench caused by domestic waste in some neighborhoods; The soil environment is polluted due to solid waste treatment that is difficult to decompose; Surface water and groundwater are also leaked due to leachate, wastewater from landfills; The polluted environment has, directly and indirectly, affected the health and production and business activities of the people in the ward, degraded the ecosystem, and lost the urban beauty. The author has proposed solutions to reduce environmental pollution caused by domestic waste such as population policy, establishing collection groups, craft village planning, and applying the circular green model in economic development.

Enzymes are biodegradable catalysts naturally present in living organisms. Enzymes can accelerate biochemical reactions by reducing the activation energy, and they are not consumed during reaction processes. Numerous applications of enzymes have been developed in biotechnology, industry, medicine, pharmaceuticals, food processing, biofuels, and so on. In this study, we develop a mathematical model describing enzymatic reactions with a Ping-Pong mechanism and competitive substrate inhibition. In order to obtain insights into the model behaviors, we use Python software to obtain numerical solutions for the model. Some discussions on the numerical results is provided. Finally, we briefly discuss a potential application of the model and some future work.

This study deals with the stiffness design of geometrically nonlinear structures using topology optimization. Bi-directional Evolutionary Structures Optimization (BESO) is employed to implement the design process. The geometrically nonlinear behavior of the structures are modeled using a total Lagrangian finite element formulation and the equilibrium is found using a Newton-Raphson iterative scheme. The topology optimization of linear and nonlinear modeling are implemented. The sensitivity of the objective function is found with the adjoint method and the optimization problem is solved using BESO’s update method. Objective function of complementary work is evaluated. A special technique called the continuation method is applied to solve the instability of nonlinear structure optimization. ANSYS APDL is also used to do FEA of optimal topology to verify the effectiveness of geometrically nonlinear modelling. The results show that differences in stiffness of structures optimized using linear and nonlinear modelling is generally small but it can be large in some cases, especially structure highly involving buckling behaviour.

In recent years, society has been evolving rapidly, and contemporary education is being adapted to satisfy people's requirements in accordance with 4.0 trends and the industrial revolution.This gives birth to the definition of Smart University, the study of which seeks to identify the required components for constructing a smart learning environment. The research group analysed nationally and internationally advanced models, proposing a smart university model for Thu Dau Mot University (T-SMARTHS) with smart levels matching the phases established and developed at Thu Dau Mot University.

It is very common to stabilize the preset value (Wanted value) of analog signals such as temperature, pressure, weight, flow, speed in automatic control. However, these control objects often have some problems such as overshooting, taking a long time to bring the system to a steady value, and large errors. One of the most used systems to overcome these problems is the PID, which is a preset stabilizing system with a quick function that returns the system to the set value in a short time without overshooting. error is close to zero. However, determining the scale parameters Ki, integral Kp, and differential Kd for the system to work optimally is a problem that needs to be studied. This paper presents how to accurately determine differential, integral, and scale coefficients according to 3D virtual reality model. Used a lot in simulation modeling for training and practical applications.

In Vietnam, deviant behaviour in adolescents is increasingly popular and gradually becomes a major concern of the whole society. The purpose of this study is to identify Factors affecting deviant behavior of Vietnamese adolescents, including: Nature of adolescence (Biology, Intelligence and Cognitive functions) and Nurture (Family atmosphere, Education environment, Media and technology, Peer Pressure, and Religion and Politics). 426 survey samples were collected to serve the data analysis process as well as all hypotheses were examined by using STATISTIC 10 ver., LISREL 8.8 with Covariance Matrix, and LISREL model. This research showed that Nature of adolescence, Family atmosphere, Education environment, Social media and technology, Peer pressure have significant influence on deviant behavior of adolescents in Vietnam. The research also indicated that deviant behavior of Vietnamese adolescents is not affected by Religion and politics. The study also makes suggestions to improve morality and foster personality for adolescents in Vietnam, makes a small contribution to the country's further development.

With the fast growth of the COVID-19 pandemic, in-silico studies based on the susceptible-infected-removed (SIR) epidemiological model are very critical to provide reliable predictions of the COVID-19 evolution that can effectively support governments to issue the right measures to prevent and control the pandemic. In this study, the evolution of the COVID-19 in the Binh Duong province is investigated using the SIR model implemented in R-Studio software, in which the homemade computer codes based on the SIR model are developed using R language to automatically detect the optimal parameters in the model, including the reproduction ratio R0, the infection coefficient β, and the recovery coefficient γ. The SIR predictions indicate that the number of new positive cases per day in the Binh Duong province is only 40 new cases by November 30, 2021, and the total number of new cases per day becomes zero by middle February 2021. Besides, the Binh Duong province only has 1126 infected cases by November 30, 2021, which reduces to 203 cases at the end of December 2021. Through the SIR results, the COVID-19 pandemic in the Binh Duong is predicted to be ended at the end of December 2021.

Automation or automatic control has been a growing trend in industrial fields as well as in life because of the advantages and utilities that help optimize work and reduce manpower in production. In medium and large scale automatic control systems, PLC (Programmable Logic Controller) is used as the control device for the system. In production, the transmission system using motors takes a large proportion and the problem of controlling for them to operate correctly, meeting technological requirements is one of the difficulties that need to be solved. In this study, we have applied PLC to stabilize motor speed according to preset value using PID algorithm integrated in Siemens S7–1200 PLC in order to apply research results in practice. At the limit of the article, we will present the issues of PID function block configuration, programming algorithm flowchart for PLCs, and monitoring console design for a small DC motor drive system model to verify.

With the development of information technology, many applications of robots are increasingly being applied to support research, learning, and teaching. This paper mainly investigates the modeling and simulation of a robotic arm with 3 degrees of freedom (dofs) for different applications. First, Kinematics and dynamics model of the robot based on the standard Denavit Hartenberg (D-H) modeling method, where the forward kinematics of robot is analyzed and computed to obtain by using the inverse kinematics, and then the solution of the robot dynamics is derived. Second, a CAD model of the robot is designed on CATIA software to convert to MapleSim software to simulation and control. Final, numerical simulation is presented to display results. This work provides a potential basis for the realization of the robotic arm in the industrial, education, and research field, which is of great significance for improving manufacturing efficiency and support teaching and research in the robot field.

Most of the indoor accidents are related with fall down. Many medical studies are point out that key factor for keeping patient’s life is fast response of monitoring system. In modern life, peoples are isolated with neighbor, especially in living quarters. Therefore many solutions are developed for falling down monitoring that base on wearable sensors. These methods require of an expensive sensors system with electric power supplier and telecommunication devices. In context of patients with disease and weak status, patients are trend to remove sensor system. This issue requires to find out another approach so that sensors system will not be needed. We study the fall detection by monitoring camera. For increase the accuracy, we proposed a simple and effective method to extract features of abnormal activities. By tracking the magnitude of entropy and its distribution, our fall detection model has a capability of differentiating falls from other activities

Activity recognition is one of the preliminary steps in designing and implementing assistive services in smart homes. Such services help identify abnormality or automate events generated while occupants do as well as intend to do their desired Activities of Daily Living (ADLs) inside a smart home environment. However, most existing systems are applied for single-resident homes. Multiple people living together create additional complexity in modeling numbers of overlapping and concurrent activities. In this paper, we introduce a hybrid mechanism between ontology-based and unsupervised machine learning strategies in creating activity models used for activity recognition in the context of multi-resident homes. Comparing to related data-driven approaches, the proposed technique is technically and practically scalable to real-world scenarios due to fast training time and easy implementation. An average activity recognition rate of 95.83% on CASAS Spring dataset was achieved and the average recognition run time per operation was measured as 12.86 mili-seconds.

Corrosion of the bottom of the petroleum tank may lead to a product leak that could cause a fire or explosion resulting in damage to people and the environment, therefore the test of tank bottom corrosion is necessary to be conducted periodically to prevent the occurrence of the above problems. In non-destructive inspection, the Magnetic Flux Leakage (MFL) method relies on the variation of fluxes caused by defects on the surface of materials to detect corrosion, pitting, or imperfections, which is proved quite effectively with low cost. The project was implemented to develop a prototype of the MFL bottom detection device based on the research results in the world to improve corrosion survey capacity in industrial equipment, as well as to improve the expertise in the Research Team of electronics and automation in the fields of magnetic fields and sensors. As a result, an MFL model using permanent magnets and Hall sensors were fabricated. Survey experiments showed that the machine could detect corrosion defects up to 20% of steel wall thickness in the scanning speed range from 500 mm/s to 1130 mm/s. However, to meet the actual survey needs, the team must continue to improve the device in terms of sensitivity, scanning speed, the ability to operate automatically or semi-automatically, and register for a fire safety inspection.

The paper presents general theory about making small models for studying large machines. Here, the author refers to the design of pile driving and pressing machines. To express ideas, the author presents design drawings presented in three-dimensional perspective. Currently, pile drivers and pile presses are two separate machines, in which their base machine is the same, their working parts are slightly different. The author takes advantage of the slight differences to combine them into one machine, so as to ensure that this machine is able to pile or pile. In addition, the structure of pile making and pressing machines is created by the author, which is somewhat simpler than the current construction and driving machine. This successful study will form the basis for manufacturing a pile driving machine and pile machine into a single machine, greatly reducing the costs of procurement and construction machine use.

Measuring environmental protection activities is a matter of great concern over the years. In this study, the indicators for evaluating environmental protection activities in industrial parks was built according to the PDSIR model and based on Vietnam's legal framework, including 18 main subjects and 35 indicators. The environmental performance index of industrial park (EPIIP) was established based on the multi-criteria evaluation method and the analytic hierarchy process method. The results of the study indicated that the VSIP I industrial park reached 68.95 points (relatively good level). Moreover, the results also showed that VSIP I was one of the industrial parks practicing good performance to protect environmental problems.

Across the world, the first accounting course provides serious challenges for teaching. These arise from powerful negative perceptions which include the anxiety associated with tertiary-level study and the differing backgrounds or majors of students required to take the course. This paper outlines some examples of nontraditional teaching techniques and highlights how the course could be best structured to overcome such negative views while at the same time responding to the changes in the industry. The design and content of the proposed course emphasizes the USER approach and is directed to English as second language learners. This is a case study in an Australian offshore campus and is the end result of the progressive improvement in the structure and delivery of the course.

In this article, a class of Hindmarsh-Rose model is studied. First, all necessary conditions for the parameters of system are found in order to have one stable fixed point which presents the resting state for this famous model. After that, using the Hopf’s theorem proofs analytically the existence of a Hopf bifurcation, which is a critical point where a system’s stability switches and a periodic solution arises. More precisely, it is a local bifurcation in which a fixed point of a dynamical system loses stability, as a pair of complex conjugate eigenvalues cross the complex plane imaginary axis. Moreover, with the suitable assumptions for the dynamical system, a small-amplitude limit cycle branches from the fixed point.