Integer Solutions to Sextic Equation with Five Unknowns xy(x+y)=4(z+R)w^5

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This paper deals with the problem of finding non-zero distinct integer solutions to the non-homogeneous sextic equation with five  unknowns given by . xy(x+y)=4(z+R)w^5

 

The Role of Digital Marketing and New Students’ Trust to Opt for Darma Agung University

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This research aims to discuss the influence of digital marketing and the new students’s trust in the decision to opt for Darma Agung University (UDA) both directly and indirectly. The target population is new students class of 2023, with a sample of 290 people taken randomly. The primary data analysis technique applies a structural equation model (SEM) with the lisrel application program supported. The SEM uses the weight least squares estimation method. Digital marketing has a stronger influence on trust than on decisions to opt for. Trust influences decisions to opt. Trust mediates the influence of digital marketing on decisions to choose, but it’s partial. The Darma Agung University’s leaders should pay attention to social media.

Gas Compressibility Factor Prediction Using Machining Learning Algorithmic Protocol for Niger – Delta Gas Reservoir

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The gas compressibility factor also known as Z-factor plays an important role in obtaining thermodynamic properties of natural gas reservoir fluid property. Typically, empirical correlations and complex equation of state have been applied to determine this parameter in absence of laboratory measurements. However, high cost of running experimental measurement, poor performance and some limitations associated with these existing correlations have made the researchers to use intelligent models instead. Therefore, this study aimed at adopting support vector machine algorithm to forecast gas compressibility factor and to validate its performance with predictions from Artificial Neural network (ANN) and some existing correlations using statistical and performance plot analysis. A total of 519 data sets from Niger Delta was used in developing the model, out of it, 70 percent was used for training, 20 percent for testing and 10 percent for validation using MATLAB tool. From the statistical analysis result, it was observed that the new developed model did better than other existing methods with numerical value of 0.1997 rank, 0.0009 mean absolute error and 0.98 of coefficient of correlation using the test data. The cross plot of the support vector machine model gave the tightest cloud along 45o reference line. The residual (error) associated with the performance was impressive which was done to observe the distribution and the interval at which the error is minimal.

Some Solutions to Promote the Circular Economy toward Sustainable Development in Vietnam

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The recent global economic growth has reached many significant milestones, however, there is a problem with natural resources shortage and increasing environmental pollution. Circular economic development has become an international trend, especially when the world’s resources are increasingly exhausted, helping to solve the conflict between economic and environmental interests. In the context of international economic integration, Vietnam has signed a lot of new-generation free trade agreements (FTAs) with different countries and economic sectors, including commitments on environmental protection. Hence, adopting the circular economic model in Vietnam is inevitable to achieve sustainable development.

The Level of Development and Tax Revenues in the Association of Southeast Asian Nations

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In this study, three distinct panel models, namely the Pool Ordinary Least Square (OLS), Fixed Effect (FE), and Random Effect (RE) models, were utilized to investigate the impact of foreign direct investment, trade openness, inflation rate, proportion of value added in agriculture, proportion of value added in industry, civil liberties, political rights index, official development assistance, and human development index on tax revenue in the six ASEAN countries, namely Cambodia, Indonesia, Malaysia, the Philippines, Thailand, and Vietnam, over the period of 2005 to 2021. The FE model was deemed more appropriate than the Pooled OLS model, as indicated by the FE test. Furthermore, a Hausman test was conducted, which revealed that the FE model was more suitable than the RE model. Regarding the empirical findings of the fixed effects (FE) model, it was observed that four indicators, namely FDI, TRADE, INF, and HDI, exhibit a statistically positive correlation with tax revenue. This implies that an increase in these variables would facilitate the promotion of tax revenue. Conversely, two variables, ARG and CIVLIB, despite exhibiting statistically significant correlations with tax revenue, demonstrate negative effects. This leads to the conclusion that an increase in these indicators would result in a decline in tax revenue.

 

Process Mapping Analysis to Improve Scheduling Strategy for Exploration Well Drilling Investment in Proposal Phase

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The delay of accomplishing business process milestones in Exploration Function was an impact of organizational transformation that includes re-grouping of working area and manpower of multiple subsidiary entities into one region. Only two wells managed to be drilled out of six targeted wells. The bottleneck issue lies in the proposal phase of the exploration well drilling investment. Report documents, interviews, and focus group discussion are collected as data for this research. The root causes were found in several stages along proposal phase and coming from process, people, and data aspect. The qualitative analysis of this research applied process mapping analysis to understand the dependency of each task, and value-added – non-value-added activity analysis to define the importance of each task. The result is corrective actions proposed to cut time duration through several treatments towards specific processes. Sequentially, the quantitative analysis of this research applied that new process mapping and use the time of events on the following execution phase as the time limit to estimate the new time duration for each task. The managerial implication of this research is the generation of a metric for project scheduling.

A Study on Work Management Practices and its impact on Productivity: Moderating role of Sustainable Work Environment

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The concept of a Sustainable Work Environment (SWE) has garnered significant attention in recent times, as organizations strive to achieve higher levels of employee well-being and productivity. This paper aims to investigate the influence of SWE on work management and productivity, focusing on three primary objectives: a) understanding the factors contributing to a challenging SWE, b) identifying gaps in existing work environments that hinder performance, and c) comprehending employee perceptions of SWE and its impact on work management practices.

To accomplish the research objectives, a mixed-methods approach was employed, combining qualitative and quantitative data collection techniques. Firstly, an extensive review of the relevant literature was conducted, exploring the diverse factors influencing the creation of a challenging SWE (Objective a). This investigation revealed critical aspects such as work-life balance, organizational culture, leadership support, employee involvement, and physical workspace conditions as key determinants of SWE.

Subsequently, surveys will be employed to identify specific gaps in the current work environments that impede employee performance (Objective b). The research will highlight the crucial hindrances like inadequate resources, communication barriers, unclear job roles, and lack of employee recognition.

The study will also delve into understanding the employee perception of SWE and its effect on work management practices (Objective c). Through employee surveys and feedback, the research will explore more on how employees’ view their work environment impacting their motivation, job satisfaction, and overall work performance.

The outcomes of this research may have significant implications for organizations aiming to create a more sustainable and productive work environment. By addressing the identified factors contributing to a challenging SWE and recognizing existing gaps in work management, organizations can proactively design targeted interventions to foster a more supportive and conducive workplace. Cultivating a positive SWE and understanding employee perceptions will lead to greater job satisfaction, reduced turnover rates, and heightened productivity, ultimately driving organizational success.

Innovating Vietnamese Education in the Context of Industrial Revolution 4.0: A Systematic Review

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The rapid advancements in technology brought about by the Industrial Revolution 4.0 are driving the need for significant changes in education systems worldwide. In this comprehensive review, we have analyzed the effects of Industry 4.0 technologies on education and examined the challenges faced by the Vietnamese education system in embracing innovation. Our search of major databases has yielded 12 relevant studies conducted between 2015 and 2022. The findings reveal that technologies such as artificial intelligence, big data analytics, the Internet of Things, and mobile learning have transformative potential. However, Vietnamese education is currently lagging behind in terms of digital integration and innovation. Challenges exist in areas such as curriculum development, teaching methods, infrastructure, teacher preparedness, and management mechanisms. To address these challenges, we recommend reforms to learning objectives, contents, and methods, as well as the training of teachers in digital competencies. Additionally, upgrading facilities and equipment, decentralizing school governance, and fostering international cooperation are crucial steps. It is imperative for Vietnam to comprehensively prepare for Education 4.0 in order to enhance its human capital and competitiveness. Furthermore, further empirical studies are needed to explore the implementation of educational innovations.

Error Analysis in Solving Word Problems among Grade-8 Students

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Despite the importance of problem-solving skills in preparing students for the workforce and the emphasis on problem-solving in mathematics education, studies have shown that many students struggle with mathematics problem-solving. In the Philippines, low proficiency in mathematics and a high prevalence of errors in problem-solving have been observed, emphasizing the need for further improvement in students’ problem-solving abilities. This research investigated the errors made by eighth-grade students of Talalora National High School in solving word problems and examined their impact on reading comprehension and analytical skills. A quantitative correlational design was employed, and standardized tests were used as data-gathering instruments. The analysis involved statistical measures such as frequency counts, percentages, mean, and standard deviation, as well as inferential statistical methods, including chi-squared for dependence, to establish correlations. The results showed that most respondents were 13 years old, with the instructional level of comprehension being the dominant category. The chi-squared test indicated a significant relationship between reading comprehension levels and problem-solving errors Χ²(6, N = 20) = 26.726, p < 0.001, Cramer’s V = 0.817. The identified errors were primarily related to challenges in comprehending and evaluating the problems. The study emphasized the importance of reading comprehension and analytical skills in solving word problems and suggested that educators should focus on developing these abilities to enhance students’ problem-solving proficiency.

Lived Experiences of Grade – 11 Stem Students in Mathematics Using Modular Distance Learning

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This qualitative study explored the lived experiences of Grade – 11 STEM students in mathematics using modular distance learning. With the aim of understanding the challenges, coping strategies, support systems, emotional factors, and perceived advantages associated with this learning modality, the research design employed a phenomenological approach. Data collection involved one-on-one interviews with 12 participants, and thematic analysis was utilized to identify common themes. The findings revealed challenges in understanding complex topics, managing the modular structure, and dealing with distractions and connectivity issues. Participants adapted through self-regulated learning, utilization of online resources, and independent learning strategies. The study highlighted the importance of teacher and parental support, effective guidance, and the promotion of positive emotional experiences. The advantages identified include access to information, flexible time management, and autonomous exploration of resources. The implications of these findings would contribute to the design and implementation of educational interventions, addressing challenges, and enhancing distance learning experiences. The study concluded by offering recommendations for educators, policymakers, and researchers to optimize distance learning programs and support student success.