bluuebunny/crossref_metadata_2025_split huggingface dataset:
S Strategi guru pendidikan agama islam dalam membina akhlakul karimah siswa di SDN 01 Bligorejo
Authors: Khoiru Nada Lailatul , Puspitaningrum Diah 
Published: April 2024

Seluruh lembaga pendidikan berusaha menjadikan seluruh siswanya berakhlak dan beriman kepada Tuhan Yang Maha Esa. Dalam hal tersebut, membutuhkan peran guru dalam berproses, terutama guru Pendidikan agama islam. Saat kegiatan pembelajaran, guru tidak hanya memberikan materi saja, namun juga menunjukkan aspek mendidik akhlak kepada siswa. Oleh sebab itu, strategi yang dimiliki guru dalam membentuk akhlakul karimah harus tepat agar proses pembelajaran lebih berhasil dan berguna. Adapun penelitian ini bertujuan untuk mengetahui strategi yang digunakan guru Pendidikan agama islam dalam membina akhlakul karimah siswa di SDN 01 Bligorejo. Metode penelitian ini menggunakan metode penelitian kualitatif yaitu melalui wawancara dan observasi. Hasil dari penelitian ini yaitu strategi yang digunakan guru Pendidikan agama islam di SDN 01 Bligorejo mampu diimplementasikan oleh siswa baik di lingkungan sekolah maupun masyarakat. Dilihat dari segi tingkah laku, penampilan, maupun cara bicara siswa SDN 01 Bligorejo, Mereka sudah memiliki akhakul karimah sesuai yang diajarkan. Guru juga selalu memantau perkembangan setiap siswa di kelas. Selain itu, guru juga melakukan pembiasaan pagi yang selalu dilakukan baik itu baca surat-surat pendek, asmaul khusna, maupun berjabat tangan dengan ibu atau bapak guru.
Kata kunci : Strategi, Akhlakul Karimah, Akhlak Siswa.
Abstract
All educational institutions try to make all their students have morals and believe in God Almighty. In this case, it requires the teacher's role in the process, especially PAI teachers. During learning activities, the teacher not only provides material, but also shows aspects of educating morals to students. Therefore, the teacher's strategy in forming good morals must be appropriate so that the learning process is more successful and useful. This study aims to determine the strategies used by PAI teachers in fostering students' morals at SDN 01 Bligorejo. This research method uses qualitative research methods, namely through interviews and observation. The results of this study are that the strategies used by PAI teachers at SDN 01 Bligorejo are able to be implemented by students both in the school environment and in the community. In terms of behavior, appearance, and the way of speaking the students of SDN 01 Bligorejo, they already have good morals according to what is being taught. The teacher also always monitors the progress of each student in the class. Apart from that, the teacher also does morning habits which are always done whether it's reading short letters, Asmaul Khusna, or shaking hands with the teacher's mother or father.
Keywords: Strategy, Akhlakul Karimah, Student Morals.
Comparison Of Antegrade And Antegrade/Retrograde Blood Cardioplegia Applications In Cardiopulmonary Bypass Accompanıed Cardiac Surgery
Authors: Amaç Bişar , Bağış Murat Ziya 
Published: April 2024

Introduction: Ischemic heart disease (IHD) is among the leading causes of death worldwide. Sometimes, cardiopulmonary bypass (CPB) is inevitable in the treatment of heart diseases by open heart surgery procedures. Myocardium protection is of great importance in CPB cases. Various techniques and applications exist for the protection of the myocardium.
Objective: In this study, it was aimed to determine the perioperative and postoperative early outcomes of coronary artery bypass grafting (CABG) operations with CPB by comparing intermittent antegrade and intermittent antegrade (Initial) combined with retrograde (Maintenance) blood cardioplegia applications.
Materials and Methods: 240 patients with similar characteristics who underwent CPB-guided CABG operation were included. Two groups were formed as Antegrade (Group 1) and Antegrade/retrograde (Group 2). The preoperative, intraoperative, and early postoperative results of the groups were compared.
Results: Gender, age, body surface area, flow, ejection fraction percentages, EuroSCORE and LMCA lesion presence values were similar in both groups (p>0.05). Cross-clamp time, total perfusion time, mean activated clotting time during CPB and perioperative drainage were similar in both groups (p>0.05). There was no statistically significant difference between the sodium, potassium, calcium, glucose, and lactate levels evaluated after CPB of the two groups (p>0.05). In addition, there was no statistically significant difference between the two groups in terms of defibrillation requirement, inotropic requirement, and IABP requirement after CPB. (p>0.05).
Conclusion: Similar results were observed between antegrade cardioplegia alone and antegrade combined with retrograde cardioplegia in CPB-guided CABG operations. For this reason, we think that the antegrade cardioplegia technique alone will be more advantageous in terms of ease of application, not requiring additional invasive intervention, and eliminating the risks of the necessity of additional intervention. Furthermore, we think that the importance of case-based evaluation in cardioplegia techniques should not be ignored.
Nurses’ Perception toward the Relationship between Just Culture and Patient Safety Activities: A Literature Review
Authors: Alashram Hanan , Hamouda Ghada , Yaseen Mai 
Published: April 2024

Purpose: This review aimed to explore “Just Culture”, patient safety, and the relationship between them from nurses’ perceptions working in healthcare settings. Also, to highlight recommendations for nurse managers regarding the explored concepts and provide evidence-based resource guiding future researches and nursing practice.
Methodology: EBSCOhost, PubMed, and Clinical Key for Nursing were the databases selected for this review, accessed directly or through available online libraries.
Findings: A total of 21 studies met the screening criteria and were included. Studies recruited multiple levels of nursing positions, conducted in different countries and healthcare settings. Two themes were developed accordingly: Nurses’ perceptions toward “Just Culture” and Nurses’ perceptions toward patient safety.
Unique Contribution to Theory, Practice and Policy: The relationship between “Just Culture” and patient safety from nurses’ perceptions is found to be correlated with high or low nursing performance. Healthy work environments that foster “Just Culture” achieve desirable safety outcomes. The major role of organizational and nursing management is creating positive workplace cultures that maintain patient safety. Additionally, it is crucial to establish policies that demonstrate fair responses to incidents, adopt rational investigations based on balanced accountability, and avoid unjustified blame for nurses. “Just Culture” should not be promoted as a blame-free approach but as a balanced accountability. Hence, these managerial endeavors should encourage the voluntary reporting of incidents by nurses for learning and improvement purposes while nurses remain accepting their responsibility at the level they contributed to that incident.
The Text–Picture Integration Scale for Perspectives on Mental Illness: Development and Validation
Authors: Shih Guan-Yu , Fan Shih-Chen , Lin Chung-Hui , Hung Chia-Hui 
Published: April 2024

Abstract
Importance: Understanding the root cause of mental illness stigma is necessary to adopt effective management strategies.
Objective: To establish a stable and effective text–picture integration rating scale to predict public perspectives on mental illness and to examine its reliability and validity.
Design: Descriptive cross-sectional study using internet survey data.
Setting: Online.
Participants: Two hundred volunteers.
Results: The 10-item the Text–Picture Integration Scale for Perspectives on Mental Illness was developed. The authors conducted data analysis using SPSS to evaluate the reliability and criterion-related validity of the Mental Health Literacy Scale (MHLS). The Text–Picture Integration Scale’s item-level content validity index ranged from 0.83 to 1.00, and the scale-level content validity index was 0.97. The scale demonstrated acceptable reliability (Cronbach’s α = .80). The mean value of individual items ranged from 3.18 to 4.48, and the mean total score was 39.44 (SD = 8.47). The Text–Picture Integration Scale exhibited satisfactory criterion-related validity with the MHLS (r = .76, p &lt; .001).
Conclusions and Relevance: Preliminary analyses support that the Text–Picture Integration Scale is a stable and effective rating scale to determine public perspectives on mental illness and is appropriate for evaluating destigmatization efforts.
Plain-Language Summary: The study findings support the use of the Text–Picture Integration Scale as a stable and effective rating scale to determine public perspectives on mental illness. The scale is also appropriate for evaluating ways to address the stigmas that people associate with mental illness, which pose challenges for people in recovery. Occupational therapists can leverage their understanding of public perspectives on mental illness when choosing interventions to support the overall well-being of their clients with mental illness.
Red blood cell distribution width-to-albumin ratio: a prognostic biomarker of sepsis patients
Authors: Huang JinYong , Liu YuHong , Liu Yang 
Published: April 2024

IntroductionTo explore the association of red blood cell distribution width-to-albumin ratio (RAR) with 28-day mortality among septic patients, as well as to develop predictive models for evaluating the prognostic significance of RAR.Material and methodsRelevant information was obtained from the Medical Information Mart for Intensive Care (MIMIC-III). A total of 1475 individuals diagnosed with sepsis were enrolled. Data on patients’ age, creatinine levels, and mechanical ventilation status in the initial 24 h after intensive care unit (ICU) admission were gathered. We employed multivariate COX analyses to investigate the correlation between RAR and 28-day mortality, and we conducted subgroup analyses stratified by gender, age, intervention modality, and disease progression. We established 4 prediction models relevant to RAR to forecast the 28-day mortality of septic patients. Additionally, we evaluated the predictive value using receiver operator characteristic curves.ResultsThe significance of the association between RAR and 28-day mortality was maintained among sepsis patients regardless of their use or non-use of mechanical ventilation or vasopressor, presence or absence of septic shock, and gender (male or female). Additionally, these developed models associated with RAR demonstrated a good predictive value in forecasting the 28-day mortality rate among septic patients.ConclusionsThis study provides evidence, suggesting a significant correlation between RAR and the 28-day mortality among sepsis patients of ICU admission. It might show promise of RAR as a potential dependable prognostic marker for the prediction of 28-day mortality in sepsis patients.
OPTIMIZATION IN SYSTEMS ENGINEERING: A REVIEW OF HOW DATA ANALYTICS AND OPTIMIZATION ALGORITHMS ARE APPLIED
Authors: Oladele Junior Adeyeye  , Ibrahim Akanbi  
Published: April 2024

This research review article provides a comprehensive examination of optimization techniques in systems engineering, highlighting their pivotal role in enhancing system performance, efficiency, and problem-solving capabilities. Through a structured exploration encompassing theoretical frameworks, methodologies, applications, and significant findings, the article synthesizes current knowledge and advancements in the field. It delves into various optimization methods, including traditional linear and nonlinear programming, alongside emerging trends such as swarm intelligence, nature-inspired algorithms, and the integration of machine learning. Case studies and recent research findings underscore the practical implications and effectiveness of these techniques across diverse engineering challenges. The review identifies key insights, demonstrating the versatility and potential of optimization techniques to drive innovation in systems engineering. Furthermore, it offers recommendations for future research directions and practical applications, emphasizing the importance of interdisciplinary approaches, algorithm development, and the adoption of advanced techniques in industry practices. This article aims to inform researchers and practitioners alike, fostering the continued evolution and application of optimization techniques in systems engineering.
Keywords: Optimization Techniques, Systems Engineering, Swarm Intelligence, Machine Learning, Algorithm Development.
A REVIEW OF DATA-DRIVEN DECISION MAKING IN ENGINEERING MANAGEMENT
Authors: Oladele Junior Adeyeye  , Ibrahim Akanbi  
Published: April 2024

This research review article explores the transformative impact of data-driven decision-making (DDDM) across various sectors, highlighting the integration of advanced analytics to enhance organizational efficiency, innovation, and strategic planning. Despite the potential benefits, the adoption of DDDM poses significant challenges, including data quality issues, integration complexities, and the need for a cultural shift towards valuing data analytics. Through a comprehensive analysis of recent research and case studies, this article synthesizes key findings, emerging trends, and future research areas in DDDM. It provides practical recommendations for practitioners aiming to implement and optimize DDDM processes, emphasizing the importance of fostering a data-driven culture, investing in robust data infrastructure, and ensuring the ethical use of data. Additionally, the article offers suggestions for continuous improvement and adaptation to technological advancements, advocating for regular strategy reviews, monitoring emerging trends, and fostering innovation. By addressing these challenges and leveraging the outlined recommendations, organizations can unlock the full potential of DDDM, driving significant advancements in efficiency, competitiveness, and strategic decision-making in the digital age.
Keywords: Data-driven Decision Making, Engineering Management, Machine Learning, Big Data, Advanced Analytics, Organizational Efficiency, Data Quality and Infrastructure, Technological Advancements.
THE FUTURE OF ENGINEERING EDUCATION: A DATA ANALYTICS APPROACH
Authors: Oladele Junior Adeyeye  , Ibrahim Akanbi  
Published: April 2024

The landscape of engineering education is undergoing a significant transformation, driven by the integration of data analytics and machine learning (ML) technologies. This paper explores the potential of these technologies to revolutionize engineering education by personalizing learning experiences, predicting student performance, and enhancing curriculum development. Through a comprehensive review of current practices and case studies, we examine the application of data-driven approaches in identifying individual learning patterns, tailoring educational content, and implementing adaptive learning technologies. We also investigate the role of predictive analytics in forecasting academic success and enabling proactive interventions for at-risk students. Furthermore, the paper discusses the challenges and ethical considerations associated with the adoption of these technologies, including data privacy concerns and the digital divide. Our analysis highlights the importance of collaboration among educators, policymakers, and technologists to navigate these challenges and fully realize the benefits of a data-analytics approach in engineering education. The paper concludes with a vision for the future, emphasizing the need for continuous innovation and adaptation in curricula to prepare engineering graduates for the evolving demands of the workforce and society. This investigation sheds light on the transformative potential of data analytics and ML in engineering education and provides a roadmap for its successful integration into teaching and learning processes.
Keywords: Data Analytics, Machine Learning, Personalized Learning, Predictive Analytics, Curriculum Development, Adaptive Learning Technologies, Student Performance Prediction, Technological Integration.
A novel Conceptualization of AI Literacy and Empowering Employee Experience at Digital Workplace Using Generative AI and Augmented Analytics: A Survey
Authors: Amit Dubey , Sanjeev Kumar Sharma , Saurabh Karsoliya Prashant Chandra 
Published: April 2024

With the fast, rapid, and expeditious integration of Artificial Intelligence (AI) technologies, particularly Generative AI and Augmented Analytics, organizations are presented with new opportunities to transform their operations and empower their workforce. This paper explores the intersection of AI literacy, Generative AI, and Augmented Analytics to propose strategies for fostering a culture of AI fluency among employees. This paper reviews the literature on AI literacy and its potential implications for employee experience (Ex) in digital workplaces. AI literacy and competency is the ability to understand, interact with, and thoughtfully assess the applications and ramifications of artificial intelligence (AI) across diverse domains. The paper argues that AI literacy is a key competence for employees in the digital era, as it enables them to leverage the potential of generative AI and augmented analytics, two of the most promising technologies for enhancing Ex. Generative AI refers to the use of AI to create novel and diverse outputs, such as text, images, music, or designs, while augmented analytics drives potential capability to make use of Artificial Intelligence technologies to automate and augment data analysis and decision-making. The paper discusses how these technologies can empower employees to be more creative, productive, collaborative, and engaged in their work and the challenges and risks they pose. This paper additionally highlights the obstacles, deficiencies, and proposed pathways for further research advancement concerning AI technological competency and literacy, aiming to enhance the employee experience significantly in digital workplaces.
A Study on Identifying and Addressing the Gaps in Academia and Industry Demands with reference to selective Higher Education Institutions in Telangana State
Authors: K. Narendra Kumar , Rakesh Kumar Patra D. Sudheer Reddy 
Published: April 2024

The industry and Academic institutions are expected to go hand in hand to accelerate the growth of any nation. But unfortunately, there is something that resists the equilibrium of skills needed for the industry and academic excellence. This study is a small attempt of highlights the essential need to recognize and evaluate gaps among the assortment of abilities needed in evolving job environments and the soft abilities and technical abilities obtained by students at colleges and universities. The basic objective is to ensure that educational institutions maintain contemporary with market developments, developments in technology, and appropriate requirements, with a final objective of educating graduates for profitable and significant employment. This objective can be accomplished through employing an integrated technique which involves interviews, questionnaires, and statistical analysis in order to conduct a comprehensive review of present shortcomings regarding both soft as well as technical skills. Discussions with stakeholders, including corporate executives, instructors, and former students, offer vital insight into the ever-evolving requirements of the employment marketplace. Experts anticipate that by completing this investigation, researchers will be able to shed light on components of the educational curriculum that are currently outdated date or fall short of the requirements of industry.
Presenting the Model of Acceptance and Use of Insurance Technologies Using the ISM-DEMATEL Method
Authors: Morteza Honarmand Azimi, Mohammad Pasban Mehdi Haddad Oskouee, Samad Aali, 
Published: April 2024

This research sought to study and examine the model of acceptance and use of insurance technologies using the ISM-DEMATEL method. According to the purpose and nature of this research, in terms of method, it was a qualitative research that was conducted by interviewing research experts. The statistical population was university professors in the field of insurance and senior managers of insurance companies, beneficiaries and policyholders. In this section, sampling was done theoretically. In theoretical sampling, events are sampled, not necessarily individuals. If people are also referred to, the main and key goal is to explore events. The interviews continued until theoretical saturation was ensured. In this study, saturation happened with 12 experts (university professors in the field of insurance and senior managers of insurance companies, beneficiaries and policy holders). The results showed that based on the research findings, it can be seen that the first level includes practical factors, knowledge management, infrastructure, behavioral factors, the second level includes managerial factors, and the third level includes technology perception. Based on the findings, it can be seen that practical factors, knowledge management, infrastructure, behavioral factors are connected factors, managerial factors are autonomous factors, and technology perception is an influencing factor.
DOI: https://doi.org/10.52783/pst.273
Structural Equation Modeling of the Impact of Intellectual Capital on the Organizational Performance of Sports Federations.
Authors: Victoria Zaborova,  
Published: April 2024

The present study seeks to conduct a Structural equation modeling to examine the impact of intellectual capital on the organizational performance of sports federations. The method is correlational and survey. The population consists of all sports federations. A sample of 242 individuals were selected by Morgan's table and the random sampling method. The research utilizes Bontis' (2007) intellectual capital questionnaire and Yang's (2004) organizational performance questionnaire as measurement tools. The surveys' validity was verified by 8 professors specializing in sports management. The reliability of the research questionnaires was assessed using Cronbach's alpha coefficient, yielding values of 0.83 and 0.91 for the relevant questionnaires. The data analysis employed Pearson's correlation test and structural equation modelling. The GFI index of 0.95, AGFI index of 0.96, NFI index of 0.97, CFI index of 0.95, and RMSEA index of 0.031 all suggested that the structural modelling fit. The findings indicated that intellectual capital, as evidenced by a beta coefficient of 0.63, was a reliable predictor of organizational performance. The overall findings indicate that the augmentation of intellectual capital and its various components within the firm resulted in improved employee performance.
DOI: https://doi.org/10.52783/pst.283