Authors Statistics from 8 Countries
| Country | Count of Articles |
|---|---|
| Iran, Islamic Republic of | 1 |
| Turkey | 1 |
| United States | 1 |
| India | 2 |
| Egypt | 1 |
| Nigeria | 1 |
| Indonesia | 3 |
| Bangladesh | 3 |
Articles
Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran
Abstract
The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Application of data mining to perform pattern recognition of infection is mainly used for preparing the spread mapping which considered in this work for spatiotemporal distribution assessment and spread pattern analysis of corona-virus (COVID-19) infection in Iran
Read full articleThe optimization of a jet turbojet engine by PSO and searching algorithms
Abstract
The turbojet engine operates on the ideal Brayton cycle (gas turbine) and consists of six main parts: diffusers, compressors, combustion chambers, turbines, afterburners and nozzles. Using computer code writing in MATLAB software environment, exergy analysis on all selected turbojet engine components, exergy analysis on J85-GE-21 turbojet engine for selective height of 1000-8000 meters above sea level at speeds of 200 m/s and temperatures of 10°C, 20°C and 40°C have been provided and then, according to the system functions, the system is optimized based on the PSO method. For the purpose of optimization, variables of Mach number, efficiency of the compressor, turbine, nozzle and compressor pressure ratio are considered in the range of 0.6 to 1.4, 0.8 to 0.95, 0.8 to 0.95 and 7 to 10, respectively. The highest exergy efficiency of different parts of the engine at sea level with an inlet air velocity of 200 m/s corresponds to a diffuser with 73.1%. Then, the nozzle and combustion chamber are respectively 68.6% and 51.5%. The lowest exergy efficiency is related to compressor with 4%. After that, the afterburner is ranked second with 11.6%. Also, the values of entropy produced and the efficiency of the second law before optimization were 1176.99 and 479 w/k respectively and the same values after optimization were 1129 and 51.4 w/k respectively which is identified. After the optimization process, the amount of entropy produced is reduced and the efficiency of the second law of thermodynamics has increased.
Read full articleHybridization of Genetic Particle Swarm Optimization Algorithm with Symbiotic Organisms Search Algorithm for Solving Optimal Reactive Power Dispatch Problem
Abstract
In this work Hybridization of Genetic Particle Swarm Optimization Algorithm with Symbiotic Organisms Search Algorithm (HGPSOS) has been done for solving the power dispatch problem. Genetic particle swarm optimization problem has been hybridized with Symbiotic organisms search (SOS) algorithm to solve the problem. Genetic particle swarm optimization algorithm is formed by combining the Particle swarm optimization algorithm (PSO) with genetic algorithm (GA). Symbiotic organisms search algorithm is based on the actions between two different organisms in the ecosystem- mutualism, commensalism and parasitism. Exploration process has been instigated capriciously and every organism specifies a solution with fitness value. Projected HGPSOS algorithm improves the quality of the search. Proposed HGPSOS algorithm is tested in IEEE 30, bus test system- power loss minimization, voltage deviation minimization and voltage stability enhancement has been attained.
Read full articleComparison Between Blood Haematology of Egyptian Freshwater Food Fish and Ornamental Fish
Abstract
The present study was carried out to compare between some freshwater food fish species and some other freshwater ornamental fish species commonly known in Egypt, concerning the haematological parameters, dressing percent, fillet (boneless meat) percentage, and chemical composition of the fish flesh on dry matter basis. Four food fish species (Nile tilapia, grass carp, catfish, and Tobara from Manzalah Fish Farm, Dakahlia governorate, General Authority For Developing Fish Wealth, Ministry of Agriculture, Cairo, Egypt) and two ornamental fish (Koi and Fan-tail (Goldfish), from local ornamental fish trade shops, Mansoura, Dakahlia governorate, Egypt) species all belonging to the freshwater fishes were sampled, three fishes from each. Body measurements of the individual fishes were recorded, blood samples were withdrawn, live body weight was recorded, fish were dressed (eviscerated) and filleted, the flesh were minced, dried, and sieved for chemical analysis. From the forgoing results, it could be concluded that the worthiness comparison among fish species for physical, biochemical and haematological parameters, and fish quality must be done between similar species, sex, size, physiological status, nutritional status, rearing system. These parameters are variable and influenced by genetically and environmental aspects.
Read full articleForging An Optimized Bayesian Network Model With Selected Parameters For Detection of The Coronavirus In Delta State of Nigeria
Abstract
Machine learning algorithm have become veritable tools for effective decision support towards the construction of systems that assist experts (individuals) in their field of exploits and endeavor with regards to problematic tasks.. They are best suited for tasks where data is explored and exploited; and cases where the dataset contains noise, partial truth, ambiguities and in cases where there is shortage of datasets. For this study, we employ the Bayesian network to construct a model trained towards a target system that can help predict best parameters used for classification of the novel coronavirus (covid-19). Data was collected from Federal Medical Center Epidemiology laboratory (a centralized databank for all cases of the covid-19 in Delta State). Data was split into training and investigation (test) dataset for the target system. Results show high predictive capability.
Read full articleThe Professional Competence Analysis of Chemistry Teacher of Senior High School in Merauke
Abstract
Teacher competence is the roundness of knowledge, skills and attitudes that manifest smart and responsible actions in carrying out tasks as agents of learning. Teacher competencies consist of pedagogic competencies, social competencies, personality competencies, and professional competencies. This research focuses on teacher professional competence. Teachers' professional competencies are examined in 3 aspects namely mastering the material, mastering basic competencies, and developing learning materials that are creatively influenced. This research is a descriptive study to get a picture of the professional competence of Senior High School chemistry teachers in Merauke District. The study was conducted in 3 schools, namely SMAN 1 Merauke, SMAN 2 Merauke and SMAS YPK Merauke. Data obtained through observation, interviews, and documentation. The data obtained were analyzed by means of data reduction, data presentation and conclusion drawing. Through descriptive data analysis the results are obtained: (a) mastering material with an average value of 1.6 being in the category of very competent; (b) mastering basic competencies with an average value of 1.5 very competent categories; and (c) developing learning materials that are creatively influenced by an average value of 1.25 competent categories. Average overall aspects of professional competence 1.45 competent categories. The results of the analysis indicate the professional competence of chemistry teachers in Merauke District is quite good, although there are things that need to be developed so as to improve the professional competence of teachers who have.
Read full articleEffect of COVID-19 in Bangladesh: Challenge and Overcome
Abstract
To control and minimize, many countries have to try to impose radical lockdown, red zone and movement control or stay on their residents. The effectiveness of these alleviation measures is highly dependent on collaboration and the fulfillment of all members of a civilization. The knowledge, attitudes and practices people hold toward the disease play a vital role in determining a society’s willingness to accept behavioral change of the people. This study was to determine the Effect of COVID-19 in among the Bangladeshi public. A cross-sectional online survey of 260 Bangladeshi residents of various sectors and professions was conducted via Google form. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. Principal component analysis (PCA) was considered to design a standardized scale to measure the mental stress and socioeconomic crisis. Logistic regression was applied to estimate the statistically significant association between different variables on awareness level of the country and cluster analysis (CA) was applied to examine the reliability of each item according to the components to develop a composite score. The overall rate of the level of awareness of Bangladeshi people was only 25%, although 96.9% knowing COVID-19 epidemic. The 33.5% maintain lock down and 40.0% people maintain social distance. We found lack consciousness of People spreadCOVID-19that maybe increase about 68.1% over the country and there is positive correlation between people knowing COVID-19 and awareness level. Losses in education sector are found statistically significant. The PC 1 (first principal component) explained 9.328 % of the variance which was moderate positive loaded with locality people maintain social distance (0.568) and strong positive loaded with people maintain lockdown in locality (0.619). Moreover, result shows that, stay at home was the best method to reduce this pandemic situation, and agriculture sector may overcome this economic distress. However, Meta-Analysis showed that there is strong association between awareness levels of COVID-19 and washing hands daily in the lockdown area.
Read full articleAnalysis of Student Motivation using Chemsketch on Hydrocarbon Topic in SMA Negeri 2 Merauke
Abstract
The purpose of this research was to analyze student motivation in learning process teach by using Chemsketch. The type of this research is descriptive qualitative research, this research conducted in SMAN 2 Merauke in Papua. Technic that used to get the data using purpose sampling, total population are 28 students in Grade X IPA 2. The data in this research collected using questionnaire that given for student after finish learning process by using software chemsketch on topic hydrocarbon by giving checklist in every item. Based on data analysis, the result only three categorized that got from research, first are 11 student (39.28%) \categorized very high motivation, second are 16 students (57.14%) categorized high motivation , and the third is 1 student (3,5%) categorized medium. From the result showed that the use of chemsketch able to motivate student to learn chemistry especially hydrocarbon topic and for teacher can used as an alternative media for teaching.
Read full articleCOVID-19 cases prediction using regression and novel SSM model for non-converged countries
Abstract
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.
Read full articlePreferences between Caesarean Section and Normal Vaginal Delivery among the reproductive women in Bangladesh
Abstract
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.
Read full articlePrevalence and determinants of mental distress during COVID-19 outbreak in Bangladesh: evidence from an online survey
Abstract
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<0.001) and whose financial stress was increased due to lockdown (OR = 2.12, 95% CI: 1.01 – 4.46, p<0.05) on GHQ-12. Female sex (OR = 1.97, 95% CI: 1.03 – 3.75, p<0.05) and respondents with poor mental health before the outbreak (OR = 3.38, 95% CI: 1.18 – 9.72, p<0.05) were also significantly affected by mental distress on SRMH. At least thirty-one percent of the respondents were found to be mentally distressed. Some of the study findings, particularly significant determinants, should be considered while developing strategies to reduce the burden of mental distress among study respondents or similar groups.
Read full articleThe Enhancement in Mastery Abilities of Geometric Transformation Formulas Through Play Lucky Card Technique on the Students of Class VIII-2 at SMP Negeri 3 Barru, Indonesia
Abstract
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.
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