bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical Education Teachers’ Strategies and Challenges in Instructional Delivery in the Post Pandemic Era
Authors: Culajara Carla Jobelle 
Published: May 2024

The study explores the physical education teachers’ strategies and challenges in instructional delivery in the post-pandemic era. The study used qualitative research design using phenomenological approaches. Ten physical education teachers participated in the survey to share their experiences delivering instructions in the post-pandemic era. Codes and themes were transcribed in the study. Based on the study, the following themes have emerged: technology-based instructions, differentiated teaching strategies, socio-emotional preparedness, and engagement of students. Based on the findings, as part of the change, teachers are expected to develop their instructional practices further and keep up with the trend of delivering quality education services. As teachers improve and enhance their practices in providing instructions, they experience challenges that serve as an avenue of learning and upskilling their strategies as well as their mechanisms of teaching in the post-pandemic era. Thus, integrating technology and upskilling the knowledge and skills in instructional delivery must be prioritized in the ever-changing educational landscape.
Analisis Determinan yang Mempengaruhi Penyaluran Kredit Pemilikan Rumah Perbankan Indonesia 2015Q1-2023Q2
Authors: Mahardika Dian , Khasanah Uswatun 
Published: May 2024

Penelitian ini bertujuan untuk mengetahui pengaruh jangka pendek dan jangka panjang Inflasi, Produk Domestik Bruto, Indeks Harga Properti Residensial, Suku Bunga Dasar Kredit (KPR), dan Kurs Tengah US Dollar terhadap penyaluran kredit pemilikan rumah (KPR) Indonesia. Alat analisis yang digunakan adalah Eviews 12. Jenis data yang digunakan dalam penelitian ini adalah data time series tahun 2015 kuartal 1 hingga 2023 kuartal 2 di Indonesia. Data bersumber dari website resmi Badan Pusat Statistik Indonesia, website resmi Bank Indonesia dan website resmi Otoritas Jasa Keuangan Indonesia. Hasil penelitian menunjukkan bahwa dalam jangka pendek KPR merespon semua variabel pada periode tahun selanjutnya. Pada jangka panjang semua variabel tidak signifikan.
MODELO DE EVALUACIÓN DE LOS APRENDIZAJES BASADO EN EVIDENCIAS CONTEXTUALIZADO AL NIVEL SUPERIOR PÚBLICO PANAMEÑO
Authors: Tejedor De León Damaris Varsovia , Tejedor De León Elzebir Gisela 
Published: May 2024

Estudios a nivel internacional han demostrado que en las instituciones educativas prima un modelo de evaluación de los aprendizajes tradicional-cognoscitivista (Huerta, 2018; Ramis et al., 2019), por lo que es necesario proponer nuevos modelos evaluativos. El objetivo principal de esta investigación es el diseño un modelo de evaluación de los aprendizajes basado en evidencias, buscando articular la planificación, la ejecución y la evaluación, a fin de lograr la coherencia entre lo planificado, lo evaluado y lo aprendido (Huerta, 2018). El estudio se dividió en dos fases: una de diseño y la otra de validación del modelo, el cual contempla 4 competencias, 3 dimensiones y 10 indicadores, sustentados teóricamente desde una revisión bibliográfica y por un cuestionario aplicado a especialistas. El modelo de evaluación de los aprendizajes basado en evidencias llamado MEABE, está dirigido a la educación universitaria, sin embargo, puede ser aplicado en otros escenarios educativos.
AI-enhanced healthcare management during natural disasters: conceptual insights
Authors: Samira Abdul  , Ehizogie Paul Adeghe  , Bisola Oluwafadekemi Adegoke  , Adebukola Adejumoke Adegoke  , Emem Henry Udedeh  
Published: May 2024

Natural disasters often lead to significant disruptions in healthcare delivery, exacerbating the already formidable challenges faced by healthcare systems. Leveraging artificial intelligence (AI) offers a promising approach to mitigate these challenges and enhance healthcare management during and after natural disasters. This conceptual paper aims to propose a framework for the integration of AI into disaster response efforts, with a focus on optimizing resource allocation, improving patient triage, and enhancing overall system resilience. Through a comprehensive review of existing literature, this paper identifies the gaps in current disaster management practices and explores the potential of AI to address these shortcomings. By analyzing case studies and examples from previous disasters, the paper highlights the transformative impact that AI technologies such as predictive analytics, machine learning, and robotics can have on healthcare delivery in crisis situations. The objectives of this paper are twofold: to define a strategic approach for incorporating AI into disaster response protocols and to outline the expected outcomes of implementing such a framework. Expected benefits include expedited triage processes, more accurate resource allocation, and improved communication systems, ultimately leading to better patient outcomes and enhanced system efficiency. The proposed framework emphasizes the importance of interdisciplinary collaboration between healthcare professionals, technologists, policymakers, and disaster response experts. It also addresses ethical considerations and potential challenges associated with AI implementation in disaster settings. In conclusion, this paper underscores the critical role of AI in bolstering healthcare management capabilities during natural disasters. By leveraging AI technologies, healthcare systems can become more adaptive, responsive, and resilient in the face of unforeseen challenges, ultimately saving lives and minimizing the impact of disasters on communities.
Keywords: AI-Enhanced Healthcare Management, Natural Disasters, Conceptual Insights.
Evaluating the effectiveness of global governance mechanisms in promoting environmental sustainability and international relations
Authors: Uwaga Monica Adanma  , Emmanuel Olurotimi Ogunbiyi  
Published: May 2024

This study critically evaluates the effectiveness of global governance mechanisms in promoting environmental sustainability and enhancing international relations. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed articles, official reports, and policy documents published between 2010 and 2024. The main objectives were to analyze the role of global governance in environmental sustainability, assess its impact on international relations, and propose strategic recommendations for enhancing governance frameworks. The methodology focused on identifying, selecting, and analyzing relevant literature based on predefined inclusion and exclusion criteria, emphasizing the contributions of multilateral environmental agreements, international organizations, public-private partnerships, and the involvement of civil society and non-governmental organizations. Key findings reveal that while global governance mechanisms have significantly contributed to advancing environmental sustainability goals, challenges related to implementation, compliance, stakeholder engagement, and the integration of technological innovations persist. The study concludes that adaptive governance structures responsive to evolving environmental issues and stakeholder needs are crucial. Strategic recommendations include strengthening legal and institutional frameworks, enhancing stakeholder engagement, promoting public-private partnerships, and leveraging technological advancements. Directions for future research emphasize exploring the impact of emerging global challenges and investigating the role of non-traditional actors in shaping environmental policies.
Keywords: Global Governance, Environmental Sustainability, International Relations, Systematic Literature Review.
Utilizing machine learning to predict employee turnover in high-stress sectors
Authors: Kudirat Bukola Adeusi  , Prisca Amajuoyi  , Lucky Bamidele Benjami  
Published: May 2024

This study investigates the application of machine learning techniques to predict employee turnover in high-stress sectors. The primary objective is to enhance retention strategies by accurately identifying potential turnover risks. The research utilizes a comprehensive dataset comprising various factors, including employee demographics, job satisfaction, performance metrics, and stress levels. Multiple machine learning algorithms, such as logistic regression, decision trees, random forests, and neural networks, are employed to build predictive models.
The methodology involves data preprocessing, feature selection, model training, and evaluation. Cross-validation and hyper parameter tuning are performed to ensure the robustness and accuracy of the models. The performance of each algorithm is assessed using metrics such as accuracy, precision, recall, and the area under the receiver operating characteristic curve (AUC-ROC).
Key findings reveal that machine learning models can effectively predict employee turnover, with random forests and neural networks demonstrating superior performance. Significant predictors of turnover include job satisfaction, stress levels, and performance ratings. The study concludes that integrating machine learning models into human resource practices can provide valuable insights for preemptive interventions, ultimately reducing turnover rates in high-stress environments.
Future research should explore the integration of real-time data and the potential of deep learning techniques to further enhance predictive accuracy. Additionally, the ethical implications of using predictive models in HR decisions warrant careful consideration to ensure fairness and transparency.
Keywords: Machine Learning (ML), Employee Turnover, Predictive Analytics, Human Resources (HR), High-Stress Sectors, Decision Trees, Random Forests, Extreme Gradient Boosting (XGBoost), Personalized Retention Strategies, Business Intelligence (BI) Tools, Data Quality, Ethical Considerations, Data Privacy, Natural Language Processing (NLP), Deep Learning, Real-time Data Analysis, Employee Engagement, Work-Life Balance, Organizational Performance, Data-Driven Insights.
A review of the challenges and opportunities in implementing health informatics in rural healthcare settings
Authors: Samira Abdul  , Ehizogie Paul Adeghe  , Bisola Oluwafadekemi Adegoke  , Adebukola Adejumoke Adegoke  , Emem Henry Udedeh  
Published: May 2024

This paper reviews the challenges and opportunities associated with implementing health informatics in rural healthcare settings. It examines the unique barriers rural communities face, such as infrastructure limitations, workforce shortages, and financial constraints, which can impede the adoption and utilization of health informatics solutions. However, it also explores the promising opportunities afforded by health informatics, including telemedicine, electronic health records (EHRs), and mobile health technologies, to overcome these challenges and improve healthcare access, quality, and efficiency in rural areas. By addressing these challenges and leveraging the opportunities presented by health informatics, stakeholders can work towards achieving equitable healthcare outcomes for rural populations. By addressing these challenges and leveraging the opportunities presented by health informatics, stakeholders can work towards achieving equitable healthcare outcomes for rural populations. Health informatics holds immense potential to revolutionize healthcare delivery, particularly in rural settings where access to quality care is often limited Health informatics holds immense potential to revolutionize healthcare delivery, particularly in rural settings where access to quality care is often limited. Health informatics holds immense potential to revolutionize healthcare delivery, particularly in rural settings where access to quality care is often limited. Telemedicine, for instance, enables remote consultations and diagnostic services, breaking down geographic barriers and providing rural patients with access to specialists and healthcare expertise they may not have locally. Electronic Health Records (EHRs) streamline administrative processes, improve care coordination, and enhance patient safety by ensuring that vital health information is readily accessible to healthcare providers regardless of location. Mobile health technologies, including smartp hone apps and wearable devices, empower rural residents to monitor their health, track chronic conditions, and engage in self-management activities from the comfort of their homes.By embracing these innovations and overcoming infrastructure challenges, stakeholders in rural healthcare can significantly improve healthcare access, quality, and efficiency. Additionally, leveraging health informatics can help address workforce shortages by enabling healthcare providers to deliver more effective and integrated care, even in remote areas. Ultimately, by harnessing the opportunities presented by health informatics while addressing the unique challenges of rural healthcare, stakeholders can work towards achieving equitable healthcare outcomes for rural populations.
Keywords: Health Informatics, Rural Healthcare, Electronic Health Records (EHRS), Mobile Health, Challenges.
(IM)POSSIBILIDADE DE PRISÃO CIVIL DOS AVÓS EM FACE DO DESCUMPRIMENTO DO DEVER LEGAL DE PRESTAÇÃO DE ALIMENTOS
Authors: Barbosa Danielle Stephany Pereira , Silveira Lara Maria Costa Guimarães , Saraiva Rodrigo Araújo 
Published: May 2024

O tema da (im)possibilidade de prisão civil dos avós em face do descumprimento do dever legal de prestação de alimentos é objeto de intenso debate acadêmico e jurídico. Este Trabalho abordará a controvérsia em torno dessa questão e a importância de se discutir sobre a linha tênue entre responsabilização em casos externos e a violação dos direitos dos avós. Serão exploradas as diferentes perspectivas teóricas e legais sobre o assunto, analisando argumentos a favor e contra a aplicação dessa medida. Além disso, abordaremos casos jurisprudenciais relevantes e a legislação pertinente em diferentes países, analisando a evolução histórica e jurídica dessa questão. Serão examinados argumentos legislativos, visando compreender os fundamentos que embasam tanto a defesa quanto a crítica dessa medida. O objetivo deste estudo é oferecer uma compreensão abrangente do tema, fornecendo insights para futuras pesquisas e discussões no campo do direito de família, gerando, assim, uma melhor interpretação judicial acerca da temática.
Diez años de la aprobación de la Ley 19/2013
Authors: Ginesta Rodríguez Victor , Pano Puey Ester , Medir Tejado Lluís , Magre Ferran Jaume 
Published: May 2024

Transcurrida una década desde la implementación de la Ley 19/2013, carecemos de una visión comparada del nivel de cumplimiento de la norma que incluya una selección amplia de los ayuntamientos españoles. A pesar de la existencia de estudios sobre el cumplimiento de la transparencia activa y de la presencia de varios índices, la mayoría de las contribuciones están centradas exclusivamente en los ayuntamientos de más población. Con el objetivo de subsanar esta carencia, hemos monitorizado los patrones de transparencia activa de los ayuntamientos españoles mayores de 10.000 habitantes y de una selección de 300 inferiores a 10.000. En total, hemos analizado el cumplimiento normativo de 1.031 municipios españoles. Para revisar el cumplimiento, hemos construido un índice con los principales elementos de la Ley. Los resultados arrojan una implementación dispar e insuficiente de las obligaciones de publicidad activa y, para un mejor cumplimiento normativo, se debería promover un sistema de monitorización externo del cumplimiento que promueva e incentive prácticas y experiencias y suponga una mayor difusión de los principios de la norma, así como alejarse de la homogenización, estableciendo articulaciones específicas de las obligaciones normativas en función de la naturaleza, la dimensión y la capacidad institucional.
Analyzing effects of managerial skills of government high school heads on school performance: a study of schools of Larkana District
Authors: Bhutto Muhsin Khan , Sumeera Ms , Ilyas Muhammad , Sarwar Maria , Channa Mansoor Hussain , Memon Awais ur Rehman 
Published: May 2024

Abstract
Present study aimed at investigating the effects of the managerial skills of school heads on academic performance of students in district Larkana, Sindh. The major objectives of the study was to determine specific managerial skills of school heads, effects of those skill of performance of high schools of Larkana and strategies to improve them. Saturated sampling techniques was utilized for selecting respondents of present study. Additionally, twenty five government high heads of Larkana District were considered for collecting data. Close-ended and open-ended questionnaires were utilized for gathering data. Reliability was tested using Cronbach Coefficient Aloha where coefficient 0.757 was considered to be realizable. Analyzed data were showed in APA style tables. The analyzed data showed that most of the government high school heads of Larkana District were able to utilize numerous managerial skills that were effecting school performance. However, for further improving their skills different strategies were needed to be implemented. It was also suggested that high school heads should be dedicated to their built-in managerial skills and use them in their daily duties. While, they also should facilitate numerous opportunities to attend training and workshops for positively effecting the school performance.
Pengaruh Aromaterapi Lemon Dalam Mengurangi Emesis Gravidarum Pada Ibu Hamil Trimester 1 Di Desa Taddan Kecamatan Camplong Kabupaten Sampang
Authors: Amin Edysuryadi , Nadine W.P Aurellya 
Published: May 2024

Ibu hamil pada trimester pertama akan mengalami mual muntah (emesis gravidarum) yang dapat mengakibatkan ketidaknyamanan, jika mual muntah terjadi secara berlebihan dan mengganggu aktivitas sehari hari akan menimbulkan hypermesis gravidarum terhadap ibu hamil. Kondisi emesis gravidarum merupakan masalah yang umum dan kerap dialami pada trimester pertama kehamilan, mual muntah umumnya terjadi pada pagi hari. Desain penelitian Quasi Experiment, One Group Pretest-Posttest. Populasi dan sampel dalam penelitian ini seluruh ibu hamil trimester 1 di Desa Taddan Sampang yang berjumlah 13 orang dengan teknik total sampling. Pengumpulan data menggunakan lembar kuesioner dan observasi. Data yang diperoleh diolah menggunakan metode editing, coding, scoring, tabulating, interpretating dan analisis dengan uji statistik Wilcoxcon. Sebagian besar responden sebanyak 7 orang (54%) mengalami emesis gravidarum tingkat berat sebelum dilakukan intervensi. Seluruh responden 13 orang (100%) mengalami emesis gravidarum tingkat ringan setelah dilakukan intervensi. Berdasarkan hasil bivariat Uji Wilcoxon didapatkan p value 0.001< 0.05 yang bermakna terdapat Pengaruh Aromaterapi Lemon dalam Mengurangi Emesis Gravidarum pada Ibu Hamil Trimester 1 di Desa Taddan Kecamatan Camplong Kabupaten Sampang. Terdapat pengaruh antara dua variabel. Diharapkan ibu hamil trimester 1 dapat menerapkan pemberian aromaterapi lemon sebagai alternatif non farmakologis untuk mengatasi emesis gravidarum.
ОРНЫҚТЫ ДАМУ ТҰЖЫРЫМДАМАСЫН ІСКЕ АСЫРУ ҮШІН МИНЕРАЛДЫ-ШИКІЗАТ РЕСУРСТАРЫН ПАЙДАЛАНУДЫҢ ӨЗЕКТІ МӘСЕЛЕЛЕРІ
Authors: BIRYUKOV V. 
Published: May 2024

The article gives a brief description of the actual problems of the use of mineral resources for the implementation of the concept of sustainable development, as well as possible solutions to the depletion of mineral reserves of the Republic of Kazakhstan.
Мақалада орнықты даму тұжырымдамасын іске асыру үшін минералды-шикізат ресурстарын пайдаланудың өзекті мәселелеріне қысқаша сипаттама берілген, сондай-ақ Қазақстан Республикасының минералды шикізат қорларының сарқылу мәселелерін шешудің ықтимал жолдары келтірілген.
В статье дана краткая характеристика актуальных проблем использования минерально-сырьевых ресурсов для реализации концепции устойчивого развития, а также приведены возможные пути решения вопросов истощения запасов минерального сырья Республики Казахстан.
On graded S−comultiplication modules
Authors: Hamoda Mohammad , Al-Zoubi Khaldoun 
Published: May 2024

In this paper, we introduce the concept of graded S−comultiplication modules. Several results concerning graded S−comultiplication modules are proved. We show that N is a graded S−second submodule of a graded S−comultiplication R−module M if and only if Ann_R(N) is a graded S−prime ideal of R and there exists x ∈ S such that xN ⊆x- for every x- ∈ S.
Impact of the economic crisis and drug shortage on Lebanese cancer patients’ care
Authors: Eid Dollen , Jabbour Jad , Moujaes Elissar , Kourie Hampig Raphael , Safieddine Maissa , Kattan Joseph 
Published: May 2024

BACKGROUND
As a consequence of the economic crisis, the sociopolitical instability and the advent of the coronavirus disease-19 pandemic, nested challenges faced the Lebanese healthcare system. These have resulted in critical shortages of essential resources, including medications vital for oncologic patients.
AIM
To assess the ramifications of the ongoing economic crisis on oncology patient care focusing on our outpatient oncology department.
METHODS
A questionnaire was distributed during the month of February 2022 to oncology patients in Hôtel Dieu de France University Hospital in Beirut during their outpatient therapy. The primary objective was to assess the far-reaching impact of the economic crisis on patient care and the resulting psychological implications.
RESULTS
Among 182 interviewed patients, 31.87% experienced treatment interruption mainly due to acute drug shortages. Despite 87.91% of the patients benefiting from third-party coverage, 69.60% had to self-pay for their medications leading to 69.78% of patients perceiving that healthcare was more difficult to access after 2020. Psychologically, one-third of the patients exhibited symptoms of anxiety and/or depression, with 7 patients reporting suicidal ideations. Notably, 37.93% of patients who interrupted cancer treatment reported a history of comorbidities, and 89.66% who altered their treatment cited financial difficulties.
CONCLUSION
Lebanese cancer patients face complex challenges spanning economic, healthcare, and psychological realms. Income inequalities exacerbated by the economic crisis hindered healthcare access.
Aesthetic Normativity, Aesthetic Education, and Hypothetical Judgments
Authors: Fenner David 
Published: May 2024

Abstract
In this article, I will try to show that (1) one of the more compelling reasons for advocating for aesthetic normativity comes from an axiom that suppositionally underlies aesthetic educational endeavors and (2) by framing aesthetic judgments contextually and hypothetically we may be able to deal effectively with one of the more compelling reasons for antinormativity, namely the fact of irreconcilable differences between judgments of two equally competent judges. I will try to show that framing judgments contextually is common practice in aesthetic education.
Irresistible Invitations: Relational Possibilities in Collaborative Tea Experience
Authors: shoppell samantha 
Published: May 2024

Abstract
This arts-based research study investigates the relational possibilities afforded by shared experience when participants are invited to collaborate in a tea gathering. Inspired by Japanese tea ceremony tradition and the relations of host and guests, who demonstrate mutual respect and appreciation through prescribed gestures, the author aims to translate and make more accessible the relational possibilities of this practice by inviting guests to collaborate and co-create the experience. Through these gatherings, participant-collaborators explore the interplay of relational potential, sensory experience, and collaboration. This article considers how the relational dynamics of host and guest can have implications for art education when the teacher is understood as a host to student-guests in interdependent roles.