https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/issue/feed International Journal of Applied Sciences: Current and Future Research Trends 2023-04-26T01:14:07+00:00 Prof. Majed O. A. Masagba editor1@isrra.org Open Journal Systems <p style="text-align: justify;">The International Journal of Social Sciences: Current and Future Research Trends (IJSSCFRT) is an open access International Journal for scientists and researchers to publish their scientific papers in Social Sciences related fields. IJSSCFRT plays its role as a refereed international journal to publish research results conducted by researchers.</p> <p>This journal accepts scientific papers for publication after passing the journal's double peer review process within 4 weeks. For detailed information about the journal kindly check <a title="About the Journal" href="https://ijsscfrtjournal.isrra.org/index.php/Social_Science_Journal/about">About the Journal</a> page. </p> <p style="text-align: justify;">All IJSSCFRT published papers in Social Sciences will be available for scientific readers for free; no fees are required to download published papers in this international journal.</p> <p style="text-align: justify;"> </p> https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1346 Emotional Quotient and Leadership Behaviors Among Nurse Managers in a Government Hospital 2023-02-18T13:41:48+00:00 Arlene G. Vecino adriel.pizarra@gmail.com Adriel Arman V. Pizarra adriel.pizarra@gmail.com <div class="page" title="Page 3"> <div class="layoutArea"> <div class="column"> <p>Improving the integration of safe, effective, and high-quality care requires good nursing leadership. On the other hand, emotional intelligence enhances communication so that nurses can manage conflict more successfully. This quantitative research utilized the descriptive correlational research design to assess the interrelationship among profile, emotional quotient, and leadership behaviors of nurse managers of a government hospital in Cebu Province for the first quarter of 2022. Findings of the study revealed that most of the respondents were aged 31 to 40 years old and majority of the respondents were females. Most of the respondents were single and majority of them have a bachelor’s degree. Most of the respondents were assigned in the OB-Gyne Ward and most of them served as a nurse manager for 4 to 7 years already. Lastly, most of them have 201 to 250 hours of related seminars and trainings attended. The emotional quotient of the respondents was good. There was a good level of personal and social competence among the respondents. Overall the leadership behavior of the nurse managers was low. Specifically, the leadership behaviors of tolerance of uncertainty, persuasiveness, and production emphasis were moderate while representation, demand reconciliation, initiation of structure, tolerance and freedom, role assumption, consideration, predictive accuracy, integration, and superior orientation were low. The profile of the respondents was not significantly correlated with the emotional quotient and leadership behavior. Emotional quotient was significantly correlated with leadership behavior.</p> </div> </div> </div> 2023-03-11T00:00:00+00:00 Copyright (c) 2023 International Scientific Research and Researchers Association (ISRRA) https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1369 Forecasting ACB Stock Prices using Machine Learning Models and Vietnamese News Sentiment Analysis 2023-04-26T01:14:07+00:00 Luong Nhu Y 22C01029@student.hcmus.edu.vn Bui Hai Ly ly.bui@mservice.com.vn Ta Ngoc Minh 14316@student.vgu.edu.vn Ta Quang Chieu quangchieu.ta@tlu.edu.vn <p>This paper presents a study on forecasting the stock close price of ACB bank from 2012 to 2022 using various learning machine models. The models used in this study include Decision Tree, Random Forest, and LSTM, which are combined with sentiment analysis for Vietnamese news using the Pho Bert approach. To evaluate the performance of the models, R2 and RMSE are employed as evaluation metrics. The results indicate that the LSTM model with news sentiment analysis provides the best performance in both evaluation metrics. This study contributes to the understanding of the effectiveness of combining machine learning models with sentiment analysis for forecasting stock prices.</p> 2023-05-17T00:00:00+00:00 Copyright (c) 2023 International Journal of Applied Sciences: Current and Future Research Trends https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1362 Innovative Approach for the Implementation of Blockchain in Command and Control Systems of Critical Infrastructure Networks 2023-04-12T11:26:36+00:00 Topor Sorin sorin.topor@ici.ro <p>Blockchain technology is becoming increasingly attractive for a series of decision-making processes based on the facilities of the digitized environment for any field of human society. The foundation of blockchain technology is data and information structured in a distributed and immutable ledger through cryptographic mechanisms and consensus protocols. In this paper, we present a critical analysis of the possibilities of implementing this technology at the level of critical infrastructure networks that are priority targets to hit in the event of a conflict situation. Using the SWOT method, we highlight the advantages of blockchain implementation and propose some directions for transforming vulnerabilities and weak points into opportunities for the development of decision support methods at the level of distributed critical infrastructures networks.</p> 2023-05-13T00:00:00+00:00 Copyright (c) 2023 International Journal of Applied Sciences: Current and Future Research Trends https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1350 On-Site Energy Utilization Evaluation of Telecommunication Base Station a Case Study of Western Uganda 2023-03-23T21:55:40+00:00 Aceronga Kwocan kwocan.aceronga@studwc.kiu.ac.ug Muhammed Dahiru Buhari dbmohammed@atbu.edu.ng Kelechi Ukagwu John ukagwu.john@kiu.ac.ug Jonathan Serugunda serugthan@gmail.com <p>In Uganda, the need for network coverage has expanded dramatically over the past few years in both urban and rural areas. As of March 2022, there were 30.6 million mobile phone subscribers and more than 4300 base station sites, thus this increase calls for the development of base stations for the end users to transmit and receive both calls and data. As network operators continue to add base stations to meet customer demand, this is increasing monthly. Energy use also rises as a result of this rise in coverage needs. Power consumption increases as traffic increases, although this scenario changes from geolocation to geolocation because traffic loads at sites in rural and urban areas vary. Thus, it is vital to examine these sites and provide a model that network operators can use in order to handle various power consumption issues. This study evaluated how traffic volume affected energy usage in both rural and urban areas of Ishaka and Mbarara City. Because the effects of traffic load on both rural and urban sites were not sufficiently taken into consideration by earlier models. To investigate these effects of traffic load on power usage, regression models are used. On the basis of data gathered over twenty-eight days, linear models have been provided at three urban and rural areas. Based on the site layouts, the results demonstrated that both rural and urban BTS were well-fitted by the recommended linear models.</p> 2023-04-20T00:00:00+00:00 Copyright (c) 2023 International Journal of Applied Sciences: Current and Future Research Trends https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1367 Analysis of Main Effect of Independent Six-individual Characteristic Factors and Workplace Temperature on Safe Weight of Lift Model 2023-04-22T11:02:01+00:00 Omotunde Muyiwa folatunde2004@yahoo.com Mojisola Bolarinwa mojimolati@gmail.com Olayinka Olasesan olasesanolayinka@gmail.com <p>This study analysed main effect of the independent six-individual characteristic gender based factors of age, body weight, spinal shrinkage, spine length, and frequency of lifts, and workplace temperature on safe weight of lift model. These six-individual characteristic factors and workplace temperature selected were based on biomechanical, physiological and psychophysical approaches. These were yet to be seen used together in any other studies. The human ergonomic factors and workplace temperature were compounded to develop a safe weight of lift (SWL) model using principle of strain energy to determine safe weight that can minimise threat of developing low back pain among manual workers. A subjective selection technique was used to select 50 practising male construction workers. The measurements of human ergonomic factors and workplace temperature were obtained using the ZT-160 scale, stadiometer, measuring tape, clock timer and Extech RH/Temperature pen device. The obtained data were inputted into the SPSS to analysis main effect of human ergonomic factors and workplace temperature on SWL model. Data were analysed using Multiple Linear Regression (MLR) and ANOVA at . The main effect analysis of the six-individual characteristic factors gave highest R<sup>2</sup> and ? of 0.33 and 0.58 for the spinal shrinkage. The body weight and spinal shrinkage were statistically significant at p&lt;.05. The ANOVA analysis results revealed that only body weight was significant at p&lt;.05 with highest F-test = 3.47. Hence, the analyses of the human ergonomic factors and workplace temperature independently shown that body weight is the most significant factor of the developed model.</p> 2023-05-22T00:00:00+00:00 Copyright (c) 2023 International Journal of Applied Sciences: Current and Future Research Trends https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1357 True Colors: The Lesbian and Gay Youth Lived Experience of the Coming out Process in Aklan 2023-04-07T03:44:24+00:00 Archiane Lenz I. Fernandez archianefernandez@gmail.com Fe V. Tafalla gclorassist@gmail.com Profetiza I. Maatubang tisaymaatubang@gmail.com Griselda C. Quintana villagriselda@yahoo.com <p>This study explored the coming out stories of 10 Aklanon gay and lesbian youth aged 18-22. Participants were asked about their experiences coming out to themselves as young gays or lesbians, friends, and parents. Colaizzi's phenomenological technique and frequency coding were used to categorize responses across narratives and better represent participant experiences. All participants acknowledged, labeled, and accepted themselves as gay or lesbians; however, two directly disclosed their gender orientation to their respective parents. One participant's parents verbally acknowledged and accepted her; the other participant's parents ignored her. Their narratives revealed that acceptance of friends and parents resulted in increased self-worth and self-acceptance, thus contributing to their development of a positive gay and lesbian identity. Silence from their parents, leniency and the belief that they should strive to be better sons and daughters are signs of parental acceptance; however, future research should look into if Aklanon gays and lesbians who are deemed to be "adolescents" or "young people" go through the same sexual identity development.</p> 2023-04-28T00:00:00+00:00 Copyright (c) 2023 International Journal of Applied Sciences: Current and Future Research Trends