http://ijaems.com/ Open Access international Journal to publish research paper en-us March The coronavirus disease COVID-19 spreading throughout the worldwide with the total confirmed affected cases is 96,658,420, including 2,092,062 deaths, reported to WHO on 23rd January 2021. These numbers proved that COVID-19 become most affected virus in year of 2021. This virus affected all market segments of economic activities including banking and finance industry. The objective of this study is to evaluate the economic impact of COVID-19 outbreak towards banking and finance industry. This study selected two market indices (S&P500 and KLCI) for analyzing economic condition in equity market. Then, this study selected three banking institution for validating the finding for economic condition during outbreak of COVID-19. Result shows outbreak of COVID-19 give negative impact towards economic condition for banking and finance industry. The findings of this study will help practitioners and government body in developing finance policy to combating the current economic situation. Further study can be extending to analyzing the effectiveness monetary policy towards recovery of finance situation after COVID-19 outbreak. Furthermore, the finding of this study also will help banking institutions to develop more customer-friendly interest rate in overcoming this economic situation of COVID-19. http://ijaems.com/detail/effect-of-covid-19-outbreak-towards-banking-and-finance-industry/ Nashirah Abu Bakar, Sofian Rosbi http://ijaems.com/upload_images/issue_files/1IJAEMS-10220214-Effectof.pdf This research study aimed to establish and discover the various entrepreneurial skills of an employee preferred in the hospitality industry. Through this evaluation, the researchers would become more aware of the necessary traits an employee should possess, hence preferred by employers. Entrepreneurial skills as used in this study were associated with the variables: personal characteristics, interpersonal skills, critical and creative thinking skills, and practical skills. The researchers used the descriptive method of research through a survey questionnaire administered to the heads in the hospitality industry. Based on the findings, the preferred entrepreneurial skills desired in an employee were being hospitable, ethical, knowledgeable, and pro-activeness in work. http://ijaems.com/detail/preferred-essential-entrepreneurial-skills-of-employees-in-the-hospitality-industry/ Anna Margarita T. de Leon, Hannah Kaziel A. Gaya, Crispin B. Catle, Alan Joyce DD. Oracion, Lizelle C. Rodriguez http://ijaems.com/upload_images/issue_files/2IJAEMS-10220218-Preferred.pdf This study aimed to determine the level of academic performance of college students in relation to their level of social media exposure. The descriptive-correlational research design was used. The study was conducted during the First Semester of 2018-2019 in CapSU Dayao Satellite College utilizing the 186 randomly selected 4th-year college students from the four curricular (4) programs. A researcher-made questionnaire was utilized. Gathered data were analyzed and interpreted using mean, standard deviation, t-test, One-way ANOVA, and Pearson r. Results revealed that the respondents were 18-20 years old age, females, and with family income below the poverty threshold level. Respondents’ level of social media exposure is “sometimes” and their academic performance is “good.” Further, no significant difference was found in the level of social media exposure when grouped according to sex and monthly income, however, a significant difference was found when grouped according to age. On the other hand, no significant difference was found in the respondents’ academic performance when grouped according to age, sex, and monthly family income. Further, no significant association or relationship was found between the level of social media exposure and the academic performance of the respondents. This implies that even though the respondents were exposed to social media they were able to maintain a good academic performance. Therefore, the time spent by students on the different social media platforms or the number of gadgets used is not indicative and determinant of how they will perform in their academics as a whole. http://ijaems.com/detail/social-media-exposure-of-students-in-relation-to-academic-performance/ Grazl T. Baria http://ijaems.com/upload_images/issue_files/3IJAEMS-10320211-SocialMedia.pdf This survey-correlational research aimed to ascertain the mathematical ability, level of science misconceptions, and science performance of 71 first- year college students of Capiz State University, Dayao Satellite College during the first semester of the academic year 2016–2017. Researcher-made test questionnaires and the revised American Association for the Advancement of Science Assessment Questionnaire instrument were used. In general, the respondents are mathematical “fairly able” (M=29.15, SD=4.087). In particular, out of 71 respondents, 73% are “fairly able”, 24% are “able” and only 3% are “highly able”. Respondents level of science misconceptions are “moderately high/low” (M=28.83, SD=3.179) with 35% are with a “low” level of misconceptions and 65% are with a “moderately high or low” level of science misconceptions. As a whole, respondents have “satisfactory” performance in science (M=26.68, SD=3.179). Particularly, 89% have “satisfactory” performance, 7% with “very satisfactory” performance and only 4% have “poor” performance in science. Inferential data analysis revealed that there is a significant difference in the science performance of the respondents when grouped according to their mathematical ability (F(2,68) = 111.463, p http://ijaems.com/detail/mathematical-ability-level-of-science-misconceptions-and-science-performance-of-first-year-college-students/ Princess Lydia S. Fuentes http://ijaems.com/upload_images/issue_files/4IJAEMS-10320212-Mathematical.pdf Demands of renewable energy are increasing due to its effectiveness and sustainability. However, this energy source depends much on the weather and is unstable. Therefore, it needs to be connected to the power network via grid-connected inverters using power electronics devices. The power quality of inverter outputs depends much on the control strategy and modulation. The conventional control methods such as the proportional-integral (PI) and proportional resonance (PR) use the control loops and depend on the controller coefficients. The hysteresis current control method offers the best dynamic response. However, its switching frequency is very difficult to control. This paper presents a method basing on the model predictive control. In the proposed method, the inverter switching states are optimally chosen to minimize the cost function. This helps inverters reduce the switching counts while ensuring the low output harmonics. Thus, this can help inverters decrease the switching loss. The simulation results on Matlab/Simulink have validated the effectiveness of the proposed control method compared with that of the hysteresis current one. http://ijaems.com/detail/model-predictive-control-for-three-phase-grid-connected-inverters/ Quang-Tho Tran, Thanh-Lam Le, Huu-Lam Ho, Phu-Cuong Nguyen, Quang-Hieu Nguyen, Van-Hien Truong http://ijaems.com/upload_images/issue_files/5IJAEMS-10220217-ModelPredictive.pdf This paper examines the implementation of natural Techniques of language recognition for 'false news' identification, that is, false news storeys that stem from unreputable storeys from sources. Using a data set and list obtained from Signal Media for OpenSources.co sources, we use the expression frequency-inverse-inverse Detection of bi-grams and probabilistic meaning free grammar (PCFG) document frequency (TF-IDF) in a corpus of articles. Fast Access and Exponential Growth Social networking network data has been made available. It is difficult to analyze between false and true facts. The simple dissemination of data by sharing has contributed to a rapid rise in its falsifying. The credibility of social media networks is also at stake if there is a proliferation of the dissemination of false information. It has now become a study activity to check the data automatically so that it is classified as false or accurate by its source, content and publisher. Machine learning, along with some pitfalls, has played a critical role in the classification of results. This paper explores various approaches to machine learning to distinguish fake and fabricated news. The restriction of such methods and improvisation by the use of deep learning is also explored. http://ijaems.com/detail/fake-news-detection-using-machine-learning-a-review/ Priyanshi Goyal, Dr. Swapnesh Taterh, Mr. Ankit Saxena http://ijaems.com/upload_images/issue_files/6IJAEMS-10320215-FakeNews.pdf This research successfully converted periwinkle shells, an agrowaste of regenerative resource, to an additive for the formulation of a self-healing car paint. The periwinkle shell was deproteinized, demineralised and deacetylyzed to produce chitosan. The parent chitosan sample in a series of reactions was modified by graft copolymerization with maleic anhydride and methyl methacrylate to yield a chitosan derivate (chitosan-g-maleic anhydride-g-(methyl methacrylate) copolymer (modified chitosan). A 24 full factorial central composite rotatable experimental design and a three-layered (4:n:1) feed-forward architecture of artificial neural network trained by the Levenberg-Marquardt backpropagation algorithm was employed to model and predict the process variables. The physicochemical properties of the paint formulations were studied using standard methods. Fourier Transform Infrared was used to identify the functional groups of the samples under investigation. Grafting efficiency (GE %) of 75.3% and grafting yield (G %) of 76.25% indicates effective graft copolymerization of methyl methacrylate on to the maleilated chitosan. The functional groups revealed by the FTIR spectra confirmed the graft copolymerization of maleilated chitosan with methyl methacrylate to yield a chitosan derivate (chitosan-g-maleic anhydride-g-(methyl methacrylate) copolymer and also identified the presence of the modified chitosan in the self healing paint. The drying time, adhesion and chemical resistance properties measured were within acceptable limits. ANOVA results show that quadratic equation best describes the viscometry behaviour of the paint formulation. The binder and solvent showed significant effect on the response. The AAD (%) and coefficient of determination values obtained for RSM and ANN show that the two techniques predicted to a great extent the viscometry behaviour of the system, however, ANN model marginally outperformed the RSM model. An optimal response of 99.85mPa.s was recorded at 70.24g binder, 79.99g solvent, 15.72g pigment and 3g additives. http://ijaems.com/detail/modelling-and-optimal-viscometry-formulation-evaluation-of-a-modified-green-based-self-healing-automotive-paint/ C. C. Okoye, O. D. Onukwuli, M. I. Ejimofor and C. F. Okey-Onyesolu http://ijaems.com/upload_images/issue_files/7IJAEMS-10320214-Modelling.pdf The study delved on determining the sustainable development strategies of restaurants in Cabanatuan City, Philippines. It covered certain areas of sustainable development more particularly in the aspects of Economic, Environmental, and Social. It used the descriptive research design that consisted of 8 randomly selected restaurants using a guided interview and observation to gather data. Findings showed that the restaurants have been adhering to certain areas of sustainable development more particularly in the area of Business Management which ranked first, while some components in the true sense of Corporate Social Responsibility may be lacking. Other noteworthy observations included the loose implementation of waste management, challenges on food supply chain management sustainability is in the offing, and subscription to the use of renewable energy be considered urgent. Overall score on the eight parameters measured in this study pointed to the sustainable development strategies to the verbal interpretation of “often” which has to be elevated to "always" for more sustainable development goals. http://ijaems.com/detail/sustainable-development-strategies-of-restaurants-in-cabanatuan-city/ Alma Pia R. Garcia, Kelvin Julius A. Nueda, Mercedes D. Santos, Rexon R. Fernando Jr., Kelvin E. Rayos, Maureen A. Barangas http://ijaems.com/upload_images/issue_files/8IJAEMS-10220216-Sustainable.pdf In the work field, leaders develop assertiveness to establish their relationship with their employees. However, technology is increasingly opening up in Cuba and stimulates the use of systems platforms such as roads or channels of indirect communication of leaders with their employees. Assertiveness could be influenced by the use of technology and generate a new asset of intangible knowledge. To learn about this relationship, a descriptive non-experimental transactional empirical study was conducted at a Cuban financial institution. Questionnaires and expert judges' criteria were used to analyze the relationships of variables and to triangulate the results. Metrics revealed that there is a significant relationship between the assertive behavior of leaders and the use of technology. It was found that subjects with a high degree of use in technologies developed assertive behaviors in the exercise of their work. http://ijaems.com/detail/effects-of-intangible-assets-such-as-technology-and-assertive-leadership-on-efficient-systems-in-a-cuban-institution/ Naivi Montané Marsal http://ijaems.com/upload_images/issue_files/9IJAEMS-10320219-Effectsof.pdf The industrial robot arm to be analyzed is the Motoman K10S, with configuration has 7 parts, namely Base, Rotary Head, Lower Arm, Upper Arm, Wrist Roll, Wrist Pitch Yaw, and Wrist Twist. The first joint connects the Base section with the Rotary Head (joint range of 340º or ± 170º). The second joint connects the Rotary Head section with the Lower Arm (joint range of 240º or ± 120º). The third joint connects the Lower Arm section with the Upper Arm (joint range of 275º or ± 137.5º). The fourth joint connects the Upper Arm section with the Wrist Roll (joint range of 360º or ± 180º). The fifth joint connects the Wrist Roll section with the Wrist Pitch Yaw (joint range of 270º or ± 135º). The sixth joint connects the Wrist Pitch Yaw section with the Wrist Twist (joint range of 400º or ± 200º). Based on the configuration of the industrial robot arm, further kinematic modeling of the six joints and the placement of the coordinate axis on each joint. Forward and inverse kinematic calculations are made in Matlab software. Then with RoboAnalyzer as a robot arm simulator to verify the results of the calculations. http://ijaems.com/detail/analysis-industrial-robot-arm-with-matlab-and-roboanalyzer/ Arif Krisbudiman, Tsani Hendro Nugroho, Ahmad Musthofa http://ijaems.com/upload_images/issue_files/10IJAEMS-10120214-Analysis.pdf Transglutaminases are commonly used in a number of manufacturing operations, including the food and pharmaceutical industry, owing to their protein cross-linking properties. Transglutaminases derived from animal tissues and lungs, which were the first origins of this enzyme, are being substituted out in preference of microbial sources, which are less expensive and simpler to generate and purify. Following the identification of microbial transglutaminase (MTGase), the enzyme was formulated for industrial purposes using a conventional fermentation process based on the bacterium S. mobaraensis. Many trials have been conducted in this area in order to improve enzyme efficiency for commercial purposes. Several hosts microorganisms such as E. coli, Y. lipolytica, S. lividans, P. pastoris and C. glutamicum gene expression studies were conducted for transglutaminase production. This study reflects on the MTGase application in two broad industries: food and biotechnology. The usage of mTGase is presented for many food classes, highlighting implementation possibilities and obstacles to further enhance end-product efficiency. Few applications in the textile and leather industry, as well as applications in the PEGylation reaction, the development of antibody drug conjugates, and regenerative medicine, are also addressed. http://ijaems.com/detail/current-industrial-applications-of-microbial-transglutaminase-a-review/ Aqeel Sahibzada Muhammad, Al-Adeeb Abdulqader, Waleed AL-Ansi, Bilal Mushtaq Sajid, Hend Al-Jaberi, Sharoon Ejaz, Ildephonse Habimana, Taha Hameed, Lu Xia http://ijaems.com/upload_images/issue_files/11IJAEMS-10320217-Current.pdf The research presented the effects of Social Media on the formation of new words that are being used by the Social Media users that often includes in the formal use of language in the academe. The emergence of different Social Networking Sites (SNSs) such as Facebook, Twitter, and E-mail have driven a more advanced change in the way people communicate. The study aimed to assess how Social Media affects the formal English Language used in the academe. The result of the study also highlighted how often do Social Media users of the Central Luzon State University, College of Education use the proper abbreviations, exclamatory spelling of emoticons, use letter homophones, acronyms, commit misspelled words, use shortening of words, use numbers to represents words, and use combination of two different language in their papers. The qualitative method of research used the survey technique and was utilized for gathering data. The questionnaires serve as the instrument for collecting data. 50 students of the College of Education, English Majors of the said university are the respondents. http://ijaems.com/detail/different-language-usage-on-social-media/ Maria Angela S. Esteron http://ijaems.com/upload_images/issue_files/12IJAEMS-10320216-Different.pdf