No abstract

Rapid dissemination of coronavirus disease 2019 (COVID-19) across the globe has necessitated the introduction of social distance interventions to slow the spread of the disease. Online learning has become essential, considering the implications of this virus to be spread among the students during physical classes. Hence, educational institutions have shifted the traditional physical classes to online classes. Due to this implementation worldwide, a study on student learning habits is crucial to analyse students learning habits as it is one of the main factors that affecting students' performance in learning. Fifteen independent variables as inputs to one of the well-known Artificial Neural Network algorithms, Multilayer Perceptron (ANN-MLP) has been used to investigate the student's learning habit factors during the COVID-19 pandemic. Through analysing original survey data from 420 secondary students (Grade 6-12) in Hanoi shows that the ANN-MLP model is stable for both ANN-MLP optimization algorithms which are for Adjusted Normalized, to be concise. The hours spend for self-learning before COVID-19 is observed to be the most influential factors of student's learning habit during COVID-19 pandemic. Moreover, the promising Sum of Squares Error (SSE) and Relative Error (RE) values obtained signify that the ANN-MLP model is appropriate in identifying the student's learning habit factors during COVID-19 pandemic.

In Malaysia, most parents prefer to choose registered early childhood learning centers (TASKA), due to their perceptions that the centers are with quality services and well-observed by the government authority. In this quantitative research, the main objective is to identify the best model to represent the contributing factors which influence arithmetic performance among children at registered Malaysian TASKA. Childrens' arithmetic performance in general affect their mental capability and overall personal skills development. This research is significant to determining the important contributing factors which influence newborn babies' mathematical skills. Data was collected using a survey questionnaire. Based on the right sampling method, 376 registered TASKAs in Malaysia were chosen. Among the 458 chosen centers, only 63 centres provide care and education services for children age of 0 to 6 months. Neural network technique was the analysis adapted in order to achive the research objective. In the near future, the research will be extended to the unregistered TASKA in Malaysia, and the fair comparisons will be made with the registered centers.

Environmental sustainability is an integral aspect of living a better life, which will continue to be globally highlighted in the future. Sustainable Development Goals (SDGs) are crucial in most research areas to improve natural resources that will ensure the long-term viability of the environment. The rising population may lead to increased pollution due to extensive anthropogenic activities. Natural resources are being increasingly exploited by an ever-increasing human population and rising per capita consumption. A combination of biotechnological approaches to strengthen environmental sustainability in plant fields has often been used. Azolla, an aquatic fern, is a promising candidate for worldwide application and is well established in biotechnology, particularly focusing on environmental sustainability. This review aims to explore the prospective of Azolla using a biotechnology approach. This review highlights current and future research and presents viewpoints on the importance of biotechnology in phytoremediation, genomics, and the animal feed industry.

A viral infection which is named as Coronavirus disease 2019 (COVID-19) is triggered by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) [1]. Presently, there are reportedly almost two million infections and more than 100,000 worldwide deaths from the disease caused by this virus [2]. The medical and research groups are working together to reduce the serious effects of the outbreak. With more than 327 000 cases registered, the United States of America reported the highest rise since the beginning of August 2020, in newly reported cases. Meanwhile, the progressive decline in the occurrence of cases and deaths in the area of South East Asia were reported [3].