Al-Kindi Center for Research and Development (KCRD) (E-Journals)
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Harnessing Machine Learning to Analyze Energy Generation and Capacity Trends in the USA: A Comprehensive Study
No full textThe constraints in conventional energy forecasting models in the USA are increasingly being appreciated as the energy landscape evolves. Such models are generally constructed on linear assumptions that do not capture energy generation and consumption patterns as dynamic and multi-dimensional. This research project aimed to develop effective machine-learning models to interpret historical trends in energy generation and capacity in the United States. With access to massive datasets for various energy sources—fuel-based to renewable and nuclear energy—this research endeavors to discover actionable information that can optimize energy output and improve grid stability. The dataset used is a comprehensive overview of energy production in America, integrating information from a variety of sources, ranging from fossil fuels to renewables and nuclear energy. This extensive dataset is sourced from reliable sources such as the U.S. Energy Information Administration (EIA) which supplies vast historical and current data on energy consumption and production patterns; the Federal Energy Regulatory Commission (FERC) which supplies information on regulatory frameworks and market forces that affect energy production; and smart grid management systems that deliver real-time data on energy flows and grid performance. Selecting appropriate machine learning models is crucial to process engineered features and derive actionable insights effectively. For this purpose, we use Logistic Regression, Random Forest Classifier, and the Support Vector Machines. The model performance table indicates how well three machine learning algorithms—Logistic Regression, Random Forest, and SVM—classify between renewable and non-renewable energy sources. All three models are highly accurate, with SVM having a slight edge, followed by Random Forest and lastly Logistic Regression. AI-powered energy forecasting is revolutionizing energy infrastructure planning in America through the provision of sophisticated information to guide investment in grid upgrades and expansion. As America transitions to dependence on renewable energy, AI-based forecasting is essential to optimize the integration of solar and wind energy production onto the grid. The variability of these renewable resources poses special challenges for grid managers, who need to balance demand and supply in real time. Moreover, AI can be used to identify gaps in renewable energy capacity and storage. The infusion of AI-based insights into the energy sector has far-reaching implications for U.S. policymakers, equipping them with fact-based tools to efficiently apply energy reforms. With evolving energy patterns, legislators need to adjust regulations to facilitate a seamless transition to a more sustainable energy system
Freedom of Curriculum: Evaluation of CIPP Early Childhood Education Co-Curricular Activities Program in Baruga Kendari City
No full textThis study aims to evaluate the co-curricular activity program in Early Childhood Education (PAUD) in Kendari City using the CIPP (Context, Input, Process, Product) evaluation approach. Data were collected from 6 schools with 43 respondents consisting of PAUD educators and managers, using an instrument in the form of a questionnaire that was analyzed descriptively quantitatively. The results of the study indicate that in the Context aspect, the condition of the school, students, educators, and school environment are in the good category with an average value of 14.40, 10.72, 10.79, and 10.86, respectively. In the Input aspect, facilities and infrastructure are considered quite adequate (mean 17.74), while the budget and involvement of external parties are still the main challenges with an average value of 11.19 and 10.49, respectively. Educator training is in the fairly good category with an average value of 13.91. In the Process aspect, student participation in co-curricular activities reached a good category (mean 14.12), while the professional and pedagogical competence of teachers showed very good results with an average of 25.02 and 32.33. In the Product aspect, the increase in student competence and the quality of co-curricular activities were in the good category, with average values of 17.91 and 21.12, respectively. This study concludes that the co-curricular activity program at PAUD in Kendari City as a whole has been running well, although improvements are still needed in the budget aspect and external party involvement to optimize results. Strategic recommendations include optimizing financial support, ongoing training for teachers, and closer collaboration with communities and external institutions
Exploration of the Formation and Cultural Essence of Qiang Ethnic Architectural Features from the Perspective of Cultural Geography: A Case Study of the Qiang Villages in the Lower Reaches of Zagunao River
No full textThis study aims to explore the influence of geographical environment on cultural formation from the perspective of cultural geography theory, and to explore the impact of geographical environment and culture generated by geographical environment on architecture. This will help to understand the process and characteristics of Qiang architectural formation in western China, as well as its cultural connotations. The study reveals the uniqueness of Qiang architecture formed under complex social historical backgrounds such as ethnic migration, natural topography, and climatic conditions, and the social customs, beliefs, and cultural connotations reflected in Qiang architecture. This study explores the factors affecting the formation of Qiang architectural characteristics from the aspects of ethnic migration, ecological and geographical environment, changes in agricultural types, integration of Han, Tibetan cultures, and Qiang culture, and explores the historical evolution, rich ethnic beliefs, and cultural connotations of Qiang from the perspectives of building materials, spatial design, and decorative art. The research results are of great significance for understanding the inheritance and development of Qiang culture in modern contexts, protecting the "original flavor" of architectural forms and patterns, villagers\u27 lifestyles, natural environment, and humanistic environment
Using Information and Communication Technology on Students’ Mathematics Performance in National High Schools in the Philippines
No full textThis research investigates the prospective influence of Information and Communication Technology on students\u27 Mathematics performance in selected National High Schools in the Philippines for the School Year 2023-2024. The study used a descriptive correlation research design. The study\u27s respondents comprise 146 Grade 7 students, randomly selected from the total population. A two-part adapted survey questionnaire from Bam (2021) and a researcher-made Math Achievement test questionnaire were used as instruments of the study. The data were treated using simple percentages, frequency counts, weighted means, and Pearson\u27s r correlation. There were more females (59%) than males and most (60%) were 11-12 years old. The highest educational attainment of the majority of the mothers and fathers was high school graduate comprising 33 percent and 32 percent, respectively with 58 percent of the respondents having a family monthly income of below 10,000. There was a Satisfactory mean score of 22.54 for mathematics achievement with a standard deviation of 3.49. The level of ICT integration was 3.90, interpreted as Positive. However, there was no strong correlation between ICT integration and mathematics performance. It is concluded that the respondent’s perceptions of ICT integration and their mathematical achievement have no bearing on their performance in mathematics. A proposed ICT integration plan is recommended to give teachers worthwhile learning opportunities on how to further enhance their ICT integration skills
The Interview and Survey as Philosophical Research Tools in Chinese Thought
No full textThrough this study, it is proposed to examine Chinese thought from a perspective that moves away from the limitations of Eurocentrism, which tends to relegate non-Western philosophies to the realm of myth or religion. To this end, a methodological approach will be adopted that prioritizes the analysis of primary sources, complemented by empirical research tools such as surveys and interviews, traditionally less employed in philosophical research. A deep exploration of Chinese philosophy, particularly Confucianism, which stands out as a philosophical system that significantly influences the shaping of Chinese and East Asian societies, can contribute to establishing a fruitful dialogue between Eastern and Western philosophical traditions. To this end, the universal human experience of death was considered as an object of study, as it may serve as a meeting point, capable of revealing the convergences and divergences in the conception of existence. For this purpose, interviews and surveys were conducted with Chinese citizens, allowing us to hear firsthand their ideas and thoughts on death. Although interviews and surveys have often been considered tools more suitable for social sciences, it is possible to recognize in them, through philosophical analysis and reflection, the philosophical principles present in all human endeavors
Performance Evaluation Practices of Selected BPO Companies and its Effect to Employee Productivity
No full textThe COVID-19 pandemic has sparked a debate on the usefulness of performance evaluations, with employees considering factors like work-from-home and hybrid setups as motivators. Employers aim to maximize employee productivity, and they use performance evaluations to assess performance and emphasize company goals. Ugoani (2020) supports this claim, stating that performance appraisals not only review job performance but also bring attention to the company\u27s goals. Open communication between supervisors and employees is crucial during performance evaluations. However, resistance, lack of motivation, and unclear performance dimensions often lead to questions about performance evaluations. This study aims to determine the effectiveness of performance appraisal practices on employee productivity, as employees today prioritize work-family balance and burnout. The study found that most respondents are not satisfied with their company\u27s performance evaluation system and do not believe it positively affects productivity. They also disagree with the communication of performance results and the effectiveness of supervisors providing feedback. They also disagree with the use of rewards like bonuses or pay raises, which do not motivate employees to work more. They also disagree with the promotion of social activities that do not improve productivity. Additionally, many respondents do not communicate negatively about their work, plan it efficiently, or actively participate in meetings and consultations. They also do not take on extra responsibilities or continuously update their skills and knowledge. The study concludes that the BPO company\u27s performance evaluation practices significantly impact employee productivity
The Study on the Multimodal Discourse Construction and Communication of Zhengzhou’s National Central City Image
No full textBased on Kress and Van Leeuwen’s visual grammar, this study takes the 2018 Zhengzhou city image promotional film “Zhengzhou, the Commercial Capital at the Heart of China” as the research object, and analyzes how the promotional film constructs the image of Zhengzhou as a national central city through the collaborative operation of multimodal resources. It was found that the promotional video effectively conveys the image of a modern, open, inclusive and dynamic national central city through multi-dimensional urban image shaping such as historical and cultural inheritance, trade and logistics, urban construction, and cultural environment. Additionally, it reinforces a sense of Zhengzhou’s urban identity and influence among international and domestic cities, and shows its unique status as a commercial and cultural hub, as well as its strategic position and development potential as a national central city
The Integration of Artificial Intelligence in Human Resource Management in the U.S. Retail Sector
No full textThis paper addresses the challenge of integrating Artificial Intelligence (AI) into human resource management (HRM) for the retail sector with the view of addressing challenges of high employee turnover, skill development as well as performance monitoring. Methodology: Existing literature was subjected to a thematic analysis to identify key themes and insights about AI’s role in recruitment, employee motivation, and performance evaluation. Key Findings: AI paces up recruitment speed, personalizes training through adaptive learning and performs performance tracking in real-time. But there are ethical problems, such as algorithmic bias and transparency. Implications: AI brings transformative tools for retail HR management processes and employee engagement. The key to inclusivity and trust is balanced implementation and ethical oversight. Future Directions: Future research needs to address long term workforce impacts and frameworks for the ethical challenges in retail HRM
From Engagement to Retention: An Exploratory Sequential Approach to Social CRM and Social Media Marketing for Facebook Sellers
No full textThis exploratory research delves into the marketing strategies that Facebook online sellers employ, stressing their importance in increasing sales, engaging customers, and building customer loyalty. A mixed-method exploratory sequential design in varying sequences included qualitative interviews with sellers in Metro Manila followed by structured surveys to allow for a more sweeping quantitative understanding. Content and factor analyses indicated two realms of effective strategies: CRM Engagement and Social Media Marketing. This study adds to the theoretical understanding of Social CRM by linking social media marketing to this concept through the purpose of coherent branding and improved customer experience. It represents practical findings as simultaneous use of CRM and digital marketing tools for targeted engagement and business performance. Although findings express a specificity to geography and the platform itself, this work creates insight for online sellers, micro-entrepreneurs, and research. Importantly, this study closes the gaps emanating from the available literature by making credible recommendations for online sellers to revise their strategies. Future studies could explore the multi-platform marketing strategy, put in place more objective metrics, and study additional external elements like trends of various products across the market. This work adds meaningful value to e-commerce practice, particularly for Facebook online sellers, and lays the groundwork for further development of customer-oriented and engagement-driven strategies within an ever-changing digital environment
Sustainable Supply Chain Project Management: Strategies for Reducing Carbon Footprints
No full textSustainable supply chain management (SSCM) has emerged as a pivotal approach for addressing environmental challenges while ensuring economic efficiency. This study explores strategies for integrating sustainability goals into supply chain operations to reduce carbon footprints. By leveraging advanced technologies such as blockchain, artificial intelligence (AI), and data analytics, this research proposes a comprehensive SSCM framework that enhances transparency, resource optimization, and predictive maintenance. The study includes an in-depth literature review, empirical validation through case studies in manufacturing and retail industries, and an analysis of results that demonstrate significant reductions in carbon emissions and waste production. Practical recommendations for supply chain managers, policymakers, and industry stakeholders are provided to foster the adoption of sustainable practices. This research contributes to the theoretical understanding of SSCM while offering actionable strategies for real-world implementation