Results in Journal Journal of Applied Science, Engineering, Technology, and Education: 69
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Published: 6 October 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 104-112; doi:10.35877/454ri.asci164
The method used in this study was a classroom-based action research that aimed to improve students' mastery of the geometric transformation formulas through the Play Lucky Card technique. This study was conducted in class VIII.2 of SMP Negeri 3 Barru with 23 students. The results achieved after the study was carried out for two cycles were as follows: In the first cycle, there were 40.63% of students who had the ability to master the geometric transformation formulas in the sufficient category. Whereas in the classical results, it was found that the students' average score was 68.06 in the 54.6-64.5 interval or in the sufficient category. In the second cycle, there were 56.25% of students who had the ability to master the mathematical formulas in the high category, 28.13% of students had the ability to master the mathematical formulas in the very high category. From the results of the final evaluation of the second cycle, it was classically found that the students' average score was 76.75 in the 64.6-84.6 interval or in the high category. Based on the results of the final evaluation, the students of class VIII.2 had an absorption amounted to 86.75%, and other data showed that the students of class VIII.2 who scored > 65 (84.38%), were in the high and very high category. Thus, it can be concluded that there was an increase in the ability to master the geometric transformation formulas of class VIII.2 students at SMP Negeri 3 Barru after the implementation of Play Lucky Card technique, there was an increase in motivation and activeness as well as the presence of students following the mathematics learning process. This was reflected in the number (quantity) of students who raised their hands to work on the questions on the blackboard which tended to increase from one meeting to the next. Moreover, almost all students submitted every homework according to predetermined deadlines.
Published: 6 October 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 195-202; doi:10.35877/454ri.asci163
This study aimed to determine how much the increase in the ability of implementing fun-based learning for the mathematics teachers of SMA Negeri I Barru through structured clinical supervision. The method used in this study was a school action research. The population of this study were all mathematics teachers at SMA Negeri 1 Barru which consisted of 6 teachers: 3 males and 3 females. This study was conducted in the odd semester of the 2019/2020 school year for 6 meetings. Data in this study were collected by using observation sheets and structured clinical supervision observation instruments ranging from pre-observation, the observation of learning implementation to the observation of feedback implementation for each supervised teacher. The data were analyzed by using qualitative and quantitative descriptive analysis. The overall results of this study were based on the implementation of structured clinical supervision starting from the results of pre-observation of the teaching and learning preparation: syllabus, lesson plans for teaching materials and assessment instruments, as well as the results of observation of the assessment of the learning process.
Published: 4 October 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 181-194; doi:10.35877/454ri.asci159
This paper presents and evaluates a continuous recording system designed for a low-cost seismic station. The architecture has three main blocks. An accelerometer sensor based on MEMS technology (Microelectromechanical Systems), an SBC platform (Single Board Computer) with embedded Linux and a microcontroller device. In particular, the microcontroller represents the central component which operates as an intermediate agent to manage the communication between the accelerometer and the SBC block. This strategy allows the system for data acquisition in real time. On the other hand, the SBC platform is used for storing and processing data as well as in order to configure the remote communication with the station. This proposal is intended as a robust solution for structural health monitoring (i.e. in order to characterize the response of an infrastructure before, during and after a seismic event). The paper details the communication scheme between the system components, which has been minutely designed to ensure the samples are collected without information loss. Furthermore, for the experimental evaluation the station was located in the facilities on a relevant infrastructure, specifically a hydroelectric dam. The system operation was compared and verified with respect to a certified accelerograph station. Results prove that the continuous recording system operates successfully and allows for detecting seismic events according to requirements of structural health applications (i.e. detects events with a frequency of vibration less than 100 Hz). Specifically, through the system implemented it was possible to characterize the effect of a seismic event of 4 MD reported by the regional seismology network and with epicenter located about 30 Km of the hydroelectric dam. Particularly, the vibration frequencies detected on the infrastructure are in the range of 13 Hz and 29 Hz. Regarding the station performance, results from experiments reveals an average CPU load of 51%, consequently the processes configured on the SBC platform do not involve an overload. Finally, the average energy consumption of the station is close to 2.4 W, therefore autonomy provided by the backup system is aroud of 10 hours.
Published: 1 October 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 171-180; doi:10.35877/454ri.asci151
This review article aims to create awareness towards COVID-19 epidemic and develop a basic responsibility in human beings to control and stop the transmission of COVID-19. It has been highlighted that disaster is imminent if we play with nanostructures unknowingly. The effect of COVID-19 on mankind and its detection and transmission have also been discussed briefly. The protection guidelines including treatment procedures have been illustrated. The utilization of nanoparticles to detect and cure COVID-19 has been described.
Published: 28 September 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 82-89; doi:10.35877/454ri.asci152
Amount of death due to pregnancy are gradually decreasing worldwide, among all of these estimated deaths, one-fifth of the maternal death recorded in southern Asia. The increasing rate of caesarean section (CS) delivery and the improved safety of surgical skill are the big reason of reduced pregnancy related mortality rate. Bangladesh has the increasing CS rate on southern Asia. This study aimed to identify the different factors affecting the increasing rate of CS in Bangladesh This cross-sectional survey was conducted between January 2020 - March 2020 among the married women at reproductive age (15-49 years age) having at least one under five years child of Dhaka and Noakhali district in Bangladesh. A questionnaire was designed to survey the preference of their delivery mode. Bivariate logistic regression analysis was performed to identify the factors. A total of 357 Bangladeshi women participated in the survey and 55.7% declared they would prefer normal vaginal delivery (NVD) and 37.3% had no clear preference. The actual scenario was the overall CS rate was 51.8% during 2015-2019. But it was very high (77.8%) for the 40 years and above women. The study revealed several important factors that significantly affect the increasing rate of CS for childbirth. Maternal age, religion, current place of residence, working status, monthly household income, birth order, marital age and year of childbirth were found to have significant effect on the high rate of CS. All those who have had face CS at least once in our study faced various problem, they reported. Most of them was feeling tired to do little work and suffered long term back pain. This study will help policy makers in formulating appropriate programs to cope with this challenge efficiently and effectively. Some Special programs should be taken to increase the social awareness and values to save both mother and child, which may lead to decrease the rate of CS in Bangladesh.
Published: 28 September 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 90-103; doi:10.35877/454ri.asci150
Novel Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and life-threatening highly infectious disease outbreak. The people of Bangladesh are at high risk of COVID-19 and have already experienced various socio-economic, Physical health, and psychological consequences. Particularly, mental health problems are dominantly reported in the literature and should be controlled. The main objective of this epidemiological study is to assess the mental distress and identify its determinants using an online-based survey. Such information is urgently needed to develop feasible strategies for Bangladesh. An online survey was conducted for this study from May 01 to May 05, 2020. A total of 240 respondents provided self-reported online responses. Respondent’s mental distress was measured by the General Health Questionnaire 12 (GHQ-12) and by the self-rated mental health (SRMH) questions. Various kinds of statistical analyses ranging from simple to multivariable logistic recession were performed using SPSS 23.0. About 31.3% and 48.3% of respondents were mentally distressed by GHQ-12 and SRMH questions, respectively. Logistic regression analysis revealed that mental distress was significantly higher among those respondents, whose usual activity was affected by the coronavirus (OR = 6.40, 95% CI: 1.87 - 21.90, p
Published: 5 August 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 160-170; doi:10.35877/454ri.asci136
The purpose of this paper was to measure the effect of a COVID-19 on social, psychological, economic, and health conditions in Libyan society. This study was undertaken through a questionnaire survey using the Google Form survey questionnaires in order to collect the data. A random sampling method was used from 1st June to 15th July 2020by obtaining greater insight into the issue. A result of this study revealed that the COVID-19 had a different effect on four dimensions (social, psychological economic, and health conditions). The findings of the study indicate that there is a small positive effect on social, middle, and above middle positive effects on psychological and economic respectively and high positive effect on health conditions with various percentages in Libyan society. This has been one of the first academic studies on the COVID-19 on social, psychological, economic, and health conditions addressed the Libyan society. Arguably, many of the areas covered in this study warrant more specific and in-depth investigation. The researchers hope that this paper will be beneficial to both Libyan people and the government in improving and developing the social aspects to avoid spreading COVID-19 in the future.
Published: 1 August 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 74-81; doi:10.35877/454ri.asci137
Anticipating the quantity of new associated or affirmed cases with novel coronavirus ailment 2019 (COVID-19) is critical in the counteraction and control of the COVID-19 flare-up. The new associated cases with COVID-19 information were gathered from 20 January 2020 to 21 July 2020. We filtered out the countries which are converging and used those for training the network. We utilized the SARIMAX, Linear regression model to anticipate new suspected COVID-19 cases for the countries which did not converge yet. We predict the curve of non-converged countries with the help of proposed Statistical SARIMAX model (SSM). We present new information investigation-based forecast results that can assist governments with planning their future activities and help clinical administrations to be more ready for what's to come. Our framework can foresee peak corona cases with an R-Squared value of 0.986 utilizing linear regression and fall of this pandemic at various levels for countries like India, US, and Brazil. We found that considering more countries for training degrades the prediction process as constraints vary from nation to nation. Thus, we expect that the outcomes referenced in this work will help individuals to better understand the possibilities of this pandemic.
Published: 21 July 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3, pp 151-159; doi:10.35877/454ri.asci131
Covid-19 is a severe acute respiratory syndrome (SARS) caused by a zoonotic virus in which bats have been identified as carriers. The disease outbreak was first reported on 1 December 2019, in Wuhan city in the Hubei province of China. It has infected more than eleven million persons worldwide and hundreds of thousands have died from the disease complications. It has spread across over 213 countries and territories globally. The global economic impact of the disease has been monumental. The impact cuts across global stock markets, aviation, tourism, entertainment and sports industries. Politics and governments have equally been impacted upon by the disease as legislative businesses have been suspended as a result of the disease. Many political leaders have tested positive and have got to undergone self quarantine and treatment. This paper have equally identified and itemized environmental health aspects of the disease which include: sneeze, cough, talk, touch and covid-19 control waste materials such as face mask, disposable hand glove, medical apron, used tissue papers. Conclusively, it is recommended that face mask should be produced with materials that will be comfortable to people in order to encourage the use. Disused materials should be disposing of properly and promptly.
Published: 18 July 2020
Journal of Applied Science, Engineering, Technology, and Education, Volume 3; doi:10.35877/454ri.asci130
Since the outbreak of the novel coronavirus (covid-19) pandemic from China in 2019, it has left the world leaders in great confusing due to its fast-paced propagation and spread that has left infected a world population of over Eleven Million persons with over five hundred and thirty four thousand deaths and counting with the United States of America, Brazil, Russia, India and Peru in the lead on these death toll. The pandemic whose increased mortality rate is targeted at ‘aged’ citizens, patients with low immunology as well as patients with chronic diseases and underlying health conditions. Study models covid-19 pandemic via a susceptible-infect-remove actor-based graph, with covid-19 virus as the innovation diffused within the social graph. We measure the rich connective patterns of the actor-based graph, and explore personal feats as they influence other nodes to adopt or reject an innovation. Results shows current triggers (lifting of inter-intra state migration bans) and shocks (exposure to covid-19 by migrants) will lead to late widespread majority adoption of 23.8-percent. At this, the death toll will climb from between 4.43-to-5.61-percent to over 12%.