bluuebunny/crossref_metadata_2025 huggingface dataset:
Informatics-enabled health system: A pinnacle for illicit drug control and substance abuse
Authors: Olu James Mbanugo  , Onyekachukwu Victor Unanah
Published: February 2025

The escalating crisis of illicit drug use and substance abuse presents significant challenges to public health, law enforcement, and healthcare systems worldwide. Traditional approaches to addressing this issue often rely on fragmented data sources and reactive interventions, limiting their effectiveness in curbing the epidemic. This research explores the transformative potential of informatics-enabled health systems as a comprehensive solution for illicit drug control and substance abuse management. By integrating diverse data streams—including prescription drug monitoring programs (PDMPs), clinical health records, behavioral health assessments, and law enforcement data—health informatics can provide a holistic view of substance use patterns. Advanced technologies such as real-time analytics, machine learning, and predictive modeling are central to this approach, enabling the identification of high-risk individuals and communities before substance use escalates into addiction or criminal activity. These tools facilitate early intervention, personalized treatment plans, and coordinated responses between healthcare providers and public safety agencies. Furthermore, the study examines how informatics-driven insights can inform policy development, optimize resource allocation, and improve the effectiveness of national and local drug control strategies. This interdisciplinary framework not only enhances the ability to detect and respond to substance abuse but also supports proactive, data-driven decision-making aimed at reducing the prevalence of illicit drug use. By bridging gaps between healthcare, technology, and law enforcement, informatics-enabled health systems emerge as a pinnacle solution for controlling substance abuse and improving public health outcomes on a national scale.
Pulmonary abscess due to Rothia mucilaginosa: A rare case in an immunocompetent patient
Authors: Lamia Chakib  , Oussama Fikri  , Mohamed Ijim  , Lamyae Amro
Published: February 2025

Rothia mucilaginosa is a germ rarely involved in pulmonary abscesses, especially in immunocompetent patients. We report the case of a 69-year-old man, a former smoker, admitted for fever, productive cough, and purulent sputum for the past 15 days. Clinical examination revealed moderate fever, tachycardia, and tachypnea, along with abnormal auscultatory findings in the right lower lung. Blood tests showed leukocytosis with a predominance of neutrophils. Imaging studies revealed an 8 cm hydro-aerial collection, suggesting a pulmonary abscess.

Despite antimicrobial treatment including third-generation cephalosporins, ciprofloxacin, and metronidazole, the patient continued to exhibit symptoms. Blood gas analysis revealed severe hypoxia and hypercapnia. A thoracic ultrasound identified a cystic formation, leading to chest drainage on the sixth day of hospitalization, resulting in the extraction of 1.5 liters of purulent fluid.

The cytobacteriological examination of the fluid confirmed the presence of Rothia mucilaginosa, with no signs of malignancy or fungal infection. Following drainage, both clinical and radiological improvement was observed, highlighting the importance of early diagnosis and therapeutic intervention in the management of pulmonary abscesses, particularly in at-risk patients.
Rangkap Jabatan Kepala Daerah Perspektif Hukum Positif dan Hadis tentang Larangan Berambisi pada Jabatan
Authors: Farikhah Dina Salma Nor , Laila Nurul , Khamim Khamim
Published: February 2025

Rangkap jabatan menjadi hal yang masih hangat untuk di perdebatkan, terutama dalam hal ketatanegaraan. Meskipun masih belum banyak regulasi yang membahas terkait rangkap jabatan, namun hal tersebut menyangkut moral, etika, dan kultur birokrasi seorang penyelenggara pemerintah negara. Artikel ini menganalisis batas hukum dan etika rangkap jabatan kepala daerah berdasarkan perspektif hukum positif dan hadis tentang larangan berambisi jabatan. Metode penelitian yang dipilih adalah metode penelitian hukum normatif dengan menggunakan pendekatan perundang-undangan dan menelaah peraturan perundang-undangan serta literatur yang relevan. Hasil penelitian menunjukkan, berdasarkan undang-undang, kepala daerah dilarang merangkap jabatan dan akan dikenai sanksi apabila melanggar. Di sisi yang lain, menurut hadis, seorang pemimpin hendaknya menjalankan tugas tanpa berambisi mencari jabatan dan kekuasaan.
Peran Bawaslu dalam Mewujudkan Keterbukaan Informasi di Era Digital
Authors: Firmansyah Muhamad Atji , Alallah A. Azkia Mutawakil
Published: February 2025

Artikel ini membahas peran Badan Pengawas Pemilihan Umum (Bawaslu) dalam memberikan informasi kepada masyarakat umum sesuai dengan tujuan dari Undang-Undang Republik Indonesia Nomor 14 Tahun 2008 tentang Keterbukaan Informasi Publik (UU No. 14 Tahun 2008). Di samping itu, mengulas pula peran Bawaslu dalam memberikan informasi kepada masyarakat dengan berbasis pada apa yang sedang diminati masyarakat saat ini. Artikel ini termasuk sebagai socio-legal studies dengan berbasis pada data sekunder yang dianalisis secara deskriptif-kualitatif. Hasilnya, peran Bawaslu untuk memberikan informasi dimulai dari pengawasan hingga pemilihan sesuai dengan tujuan UU No. 14 Tahun 2008. Selain itu, Bawaslu juga menggunakan berbagai cara untuk menarik perhatian masyarakat agar melihat postingan di media sosialnya, seperti menggunakan gaya mutakhir video yang sedang viral, postingan bergambar, dan berupa teks.
Analisis Yuridis Pengawasan Partisipatif sebagai Upaya Pencegahan Pelanggaran Pemilu
Authors: Rahmalika Rofi'ud Akbar , Priyandita Siska Ayu , Hidayat Rizal
Published: February 2025

Artikel ini menganalisis signifikansi pengawasan partisipatif dalam pencegahan kecurangan dalam pemilihan umum (pemilu). Secara khusus, fokusnya adalah pada upaya Badan Pengawas Pemilihan Umum (Bawaslu) dalam memerangi kecurangan pemilu, tantangan yang dihadapi Bawaslu dalam memenuhi tanggung jawabnya, dan efektivitas pengawasan partisipatif dalam menjaga integritas proses pemilu melalui aspek hukum pengawasan partisipatif dan pengaruhnya terhadap pencegahan kecurangan pemilu. Artikel ini menggunakan metode penelitian socio-legal studies dengan analisis secara deskriptif-kualitatif. Hasilnya, hadirnya pengawasan partisipatif pemilu sebagai bentuk upaya Bawaslu dalam menangani tantangan dan hambatan dalam melaksanakan tugasnya dengan cara memberikan sosialisasi. Ke depan, perlu ada evaluasi yang komprehensif, khususnya pada peningkatan sistem pemantauan pemilu di Indonesia, agar lebih efisien dan efektif.
Tutoría entre pares y su relación con habilidades sociales del estudiante de formación profesional
Authors: Sánchez Ortiz Alicia , Antelm Lanzat Ana María , Tobías Marín Claudia , Gil López Alfonso Jesús
Published: February 2025

El objetivo de este trabajo es analizar la relación entre la tutoría entre pares con algunas habilidades sociales del estudiante de formación profesional, el autoconocimiento, la comunicación y la proactividad. En este estudio se consideran dos figuras de la tutoría entre pares, el par tutor y el par tutorado. Los participantes en esta investigación son 582 estudiantes de diversas familias de Formación Profesional de la provincia de Valencia en España. Los datos se recogen a través de un cuestionario. Los resultados ponen de manifiesto que los estudiantes de formación profesional consideran que estudiar conjuntamente con otros compañeros les ayuda a mejorar su aprendizaje, sin embargo, apenas se hace uso de esta práctica de enseñanza. Además, se comprueba que el autoconocimiento, las habilidades de comunicación y la proactividad se relacionan significativamente con el par tutor y el par tutorado. Esta investigación avanza en el estudio sobre la figura de tutoría entre pares al analizarlo conjuntamente con las habilidades sociales de los estudiantes. Además, este trabajo abre caminos hacia la mejora de la enseñanza a través de la implementación efectiva de la tutoría entre pares en el estudiante de formación profesional.
A case of metachronous ascending colon cancer and synchronous primary rectal and duodenal cancer in a patient with Lynch syndrome
Authors: Susak Y. M. , Leshchyshyn I. M. , Lobanova О. М.
Published: February 2025

Multiple primary malignant tumours (MPMTs) are defined as the simultaneous or sequential occurrence of two or more primary malignant tumours in a single patient, which may originate from the same organ, paired organs, different parts of the same system, or different organs. Synchronous MPMTs develop within 6 months of the primary tumour, while metachronous ones occur more than 6 months later. The available sources have no information on metachronous or synchronous colorectal and duodenal cancer.
Objective —  to present treatment outcomes of a rare case of metachronous ascending colon cancer and synchronous primary rectal and duodenal cancer in a patient with Lynch syndrome.
A male patient, born in 1963, underwent a right‑sided hemicolectomy for ascending colon mucinous adenocarcinoma — stage III (рT4рN1M0) — in 2002. In the summer of 2022, he complained of pain in the right hypochondrium, nausea, general weakness, and blood in the stool. The examination revealed the presence of synchronous primary cancer in the rectosigmoid section and duodenal cancer. The decision to proceed with a two‑stage surgical intervention was based on the partial colonic obstruction. The first stage (September 08, 2022) included the anterior resection of the rectum with sigmo‑recto anastomosis (рТ4сN2bM0, stage III, R‑0). The second stage (December 08, 2022) included the resection of a portion of the descending and lower horizontal parts of the duodenum with duodeno‑duodenoanastomosis, followed by Roux‑en‑Y gastrojejunostomy. The procedure entailed stitching the stomach in the prepyloric section, performing a cholecystectomy, and draining the abdominal cavity (duodenal adenocarcinoma with free margins: R‑0). The patient was diagnosed with Lynch syndrome based on immunohistochemistry screening results and genetic studies. After the first and second stages, the patient categorically refused to undergo a course of traditional adjuvant therapy. At the control CT scan 1.9 months after the last operation, there were no signs of prolongatio morbi. A rare case of synchronous rectal and duodenal cancer, demonstrating favourable treatment outcomes after two‑stage surgery without standard adjuvant therapy, is described. Patient follow‑up is ongoing; therefore, the results may change in the future.
Pengaruh Aplikasi Puzzlemaker terhadap Hasil Belajar Menyimak Materi Teks Berita Siswa Kelas XI SMA Negeri 1 Belitang III Tahun Pelajaran 2023/2024
Authors: Fitriani Herni , Adi Pertiwi Puji , Sari Widia
Published: February 2025

This study aims to determine the effect of using the Pır Le Maker application on student learning outcomes in listening to news text material in class XI. This study uses a pre-experimental design method, one group pretest-posttest design. The sampling technique used by the researcher is purposive sampling. The number of samples used is 30 students. Data collection techniques using interviews, tests, documentation, Data analysis techniques for this study: validity test, reliability test, normality test and paired sample t-test. The research instrument is an essay test of 20 questions. Based on the results of the study and data analysis, the ability to listen to news texts of students in class XI before using the puzzle maker media or pretest has an average of 67.86 Then after using the puzzle maker media or posttest there is an increase with an average of 83.23 Based on the paired sample test 1 test shows a sig value level (2-tailed) of 0.000 <0.05 with the results of the hypothesis Ho rejected and H, accepted. The conclusion of this study is that the use of the puzzle maker application has a positive influence on student learning outcomes in listening to news text material. It is hoped that the results of this study can be a reference for teachers and curriculum developers in integrating interactive and interesting learning technology in the learning process.
Peace Education: More than a utopic pedagogy?
Authors: Schabasser Christina
Published: February 2025

The long list of wars reflects the dire need for a new violence prevention concept for addressing various ongoing conflicts and wars, including the war in Ukraine, the Israeli-Palestinian conflict, the Sudanese civil war, political instability in Afghanistan and Lebanon, and the North Korean crisis. One question emerges; can peace be learned? This study addresses this question by questioning 95 respondents from diverse professional backgrounds worldwide as it attempts to learn what they think about peace education, what experiences they have in this regard, and what suggestions they may have for improving the delivery of peace-building programs at educational institutions. This study found that the majority of respondents welcomed the peace education approach although they have very different understandings of peace education.
Analysis of female Olympic runner’s performance based on diets
Authors: L. Pham Tiffany , Gokgol Merve
Published: February 2025

This study presents the impact of omnivorous (OMN) and vegan (VG) diets on female Olympic runners’ performance. It seeks to ascertain which diet would yield superior outcomes. Three VG runners and three OMNI runners will be evaluated as part of the study to compare their athletic abilities. This paper proposes that VG female Olympic runners will outperform those following the OMNI diet. This study will be conducted in six steps: (1) the basic insight of how each diet affects a runner’s performance, (2) analysis and calculations of VG runner’s performance development prior to the appropriate Olympic games, (3) analysis and calculations of OMNI development on each runner with equivalent years before the corresponding Olympic games, (4) comparison between the OMNI and VG runners of the 1-year development, (5) comparison between the OMNI and VG runners of the 3-year development, and (6) comparison between the OMNI and VG runners of the 6-year development. The study reveals a complex relationship between dietary choices (VG and OMN) and runners' performance, with the OMNI group showing superior results in two instances.
Exploring the Journey of Sociovirtualization: Understanding the Process of Socialization in a Virtual Context
Authors: Kurt Ibrahim
Published: February 2025

The phenomena of sociovirtualization, which encompasses the integration of socialization processes into virtual settings, is an important feature of modern human interaction in the digital age. This essay takes a detailed look at the sociovirtualization journey, with the goal of deepening our understanding of the various processes and ramifications of socializing in virtual environments. The essay begins by investigating the genesis and historical antecedents of sociovirtualization, then delineates its conceptual underpinnings and the elements driving its dynamics. The essay describes the varied nature of virtual socialization and its effects on individual behavior, community dynamics, and societal structures through a thorough study of the advantages, obstacles, and solutions for effective sociovirtualization. Furthermore, the paper discusses sociovirtualization's future views and ramifications, picturing a world in which digital technologies enable meaningful connections, build inclusive communities, and change the future of human interaction. By combining research findings and theoretical frameworks from several disciplines, this paper adds to a more nuanced understanding of sociovirtualization and lays the groundwork for future study and investigation in this emerging topic.
Digital technologies in personnel management
Authors: Makovoz Oksana , Lysenko Sergii
Published: February 2025

This paper examines the pivotal role of digital technologies in the transformation of personnel management within contemporary enterprises. As businesses increasingly emphasize efficiency, adaptability, and innovation, digitalization in human resources (HR) management is becoming indispensable. The integration of cutting-edge technologies such as Artificial Intelligence (AI), Big Data, Machine Learning (ML), the Internet of Things (IoT), and 5G within HR processes stands at the forefront of this transformation, enhancing productivity and fostering sustainable organizational development.
The study focuses on several critical aspects of HR digital transformation including recruitment, employee development, performance evaluation, and engagement strategies. It systematically examines the impact of digital technologies on these HR functions and assesses how they contribute to creating a more effective work environment. The research underscores the potential of digital tools to not only streamline HR processes but also to enhance employee satisfaction and organizational efficiency.
Empirical evidence from leading companies that have successfully integrated digital HR solutions suggests significant cost reductions and improved operational efficiency. The paper analyzes these cases to identify the benefits and challenges associated with HR digitalization. It further discusses the implications of these technologies on corporate culture and the overall workforce management.
Ultimately, this article provides a comprehensive overview of the challenges and opportunities presented by HR digitalization. It offers insights into effective strategies for implementing digital transformations in HR processes, based on practical examples from industry leaders. The findings aim to assist organizations in making informed decisions about optimizing their HR operations through digital technologies, thereby enhancing their overall effectiveness and adaptability in the digital era.
Environmental Contributions of BTCEN Project: Sustainability with Blockchain
Authors: Bulut Cihan
Published: February 2025

The BTCEN project has begun to leverage blockchain technology, an innovation to increase efficiency and transparency in supply chain activities, promote recycling, and improve environmental sustainability. BTCEN has integrated Blockchain technology with platforms of e-commerce, tokenization, CRM, and ERP modules into its own systems. In this way, it increased data security while creating an effective tracking system. As a main activity, BTCEN recycles the beverage bottles of product users, increases the participation rate and conversion amount through gamification and some tangible rewards, and uses "Bring Back (BB) Coin" and NFTs as tools. Recycling vending machines strategically placed in different local centers make the process convenient and interesting, while additional incentives such as discounts encourage sustainable behavior. Awareness campaigns in various forms and partnerships with some environmental organizations, educational institutions, and local governments will support BTCEN's successes. BTCEN aims to combine ecological balance and sustainability methods while using technological innovations in its activities. By setting a standard that combines all these, it also encourages the social responsibility culture necessary for a clean environment to be left to future generations.
Scaling of the infrastructure of service organizations of geophysical services
Authors: Vnukova Nataliya  , Makovoz Oksana , Roman Shevchenko
Published: February 2025

The purpose of the study is to analyse the features and scalability of the infrastructure of geophysical service organisations. The implementation of optimal strategic management through a model for any large petroleum geophysics enterprise aimed at economic growth and national interests is proposed. An approach to semantic coordination and modernisation of geographic services is proposed, where service providers share explicit knowledge of the interactions in which their services participate, and these interaction patterns are used operationally to discover and integrate geoweb services. During the research, cluster analysis was used to conduct a comparative analysis of the selected companies, the quality of possible methods of distribution of the selected population and using criteria. The volume of service geophysical services depends on the rate of increase in hydrocarbon production, which is directly related to the state’s strategy. Analysis of the competitive environment for the State-owned Enterprise Ukrgaspromgeofizika requires an assessment of the factors affecting the organisation's activities in the field of geophysical services for the gas industry. The volume of service geophysical services depends on the rate of increase in hydrocarbon production, which is directly related to the strategy of the state.
Emotional labour: More of a burden than a benefit?
Authors: Schabasser Christina
Published: February 2025

Hospitality workers, such as flight attendants and waiters, are expected to be courteous, friendly, and polite all the time. Training and managing their own feelings is part of the job. For many, people's true feelings differ from those shown to the outside world, thus prompting them to "put a mask on" throughout their working hours. This practice is called surface acting, which is as essential to this investigation as deep acting. In this context, this study's results were thought-provoking since a statistically significant positive correlation between deep acting and performance was found, while the surface acting–performance relationship was negative. These findings may serve as a warning signal for employers who are expected to keep their employees' mental well-being intact at work.
Agropreneurship for Sustainable Development – College Students’ Perspective
Authors: M. Athista Lakshmi  , Malini Ramu , R. Seetharani
Published: February 2025

Education for Sustainable Development is essential for transforming attitudes, raising consciousness and giving people the information regarding the importance of embracing sustainable behaviours. This induces the research team to identify the perception of the college students’ towards agropreneurship for sustainable development. The research team has analysed the relationship between the demographic profile and the students’ level of Perception towards agropreneurship for Sustainable Development. Besides, the research team had made an attempt to identify the impetus “P” among the 5P’s of Sustainable development goals. Both the primary and secondary data were used for this study. The primary data were collected using Google forms from 160 respondents.  The collected data were analysed using statistical tools such as Percentage analysis with Graph, Chi Square Test and Weighted Average Method. The study found that, the demographic profiles like gender and academic domain influenced the perception of student community towards agropreneurship for Sustainable Development. It was identified that, among the 5P’s framework of Sustainable development goals, the student community gave prime priority to the framework “People” followed by the other frameworks Planet, Partnership, Prosperity and Peace.  The study revealed that, the student community have a positive Perception towards agropreneurship for Sustainable Development. The student community believes that, their Career as an agropreneur will make a balance between Economy, Ecology and Equity dimension of Sustainability.
Comparative Analysis and Optimization of Stem Cell Therapies for Type 1 Diabetes: Evaluating Glycemic Control, Insulin Independence, and Adverse Effects
Authors: Kareem Ashkar  , Miranda Camacho  , Devika Jith  , Yakup Bayar
Published: February 2025

This paper will explore treatments for Type 1 diabetes by comparing embryonic stem cells, adult stem cells, and induced pluripotent stem cells through glycemic control, insulin independence, and other adverse effects. Diabetes is a detrimental disease that affects over 10% of the U.S. population, leading to chronic conditions such as damage to large and small blood vessels, which can increase the risk of a heart attack or stroke, as well as dilemmas with the kidneys, eyes, feet, and nerves. Given the limitations of standard insulin therapy, stem cell transplantation is a promising alternative; however, due to the novelty of the solution, researchers and doctors are not familiar with the most optimal way to treat diabetes. To alleviate and cure this degenerative disease through stem cell transplantation, we will optimize the efficiency of the process by deductively analyzing each stem cell through Continuous Glucose Monitoring (CGM) and monitoring HbA1c levels. We hope to enhance stem cell therapy for type 1 diabetes and save the lives of those suffering from this hoarding pandemic, so victims are effectively cured, not treated. The objective of this study is to find the most suitable stem cell for treating T1D (Type 1 Diabetes) using stem cell transplantation to ensure the safest and most effective route.
AI-Driven Governance: Transforming Public and Addressing Legacy Issues in Post-Colonial Africa
Authors: Onduko Joseph Otochi , Michael Kalombo  , Makuach Kuol  , Bentley Makale  , Mahsen Saleh
Published: February 2025

This paper examines the transformational potentials that artificial intelligence (AI) may hold to reshape our public policies and methods of administration in the unique post-colonial context of Africa. We thus seek to unearth how AI technologies can be employed at a continental scale in the remedy of legacy issues arising from colonialism including; governance inefficiency, literacy gaps, and inequitable service delivery across the continent. From critically analyzing the application of AI in various public sectors, our research seeks to unveil opportunities for AI in inclusive decision-making processes to improve transparency as well as tailoring public service delivery to the diversified needs of African populations. The paper describes the way forward in the adoption of AI solutions that involve issues on a variety of considerations, infrastructure requirements, financial obstacles, and capacity development, among others.
Highlighting the potential of AI in governance, this research underscores the place of local innovation stakeholder engagement, and international collaboration in assuring that AI plays out as a development lever for both sustainable development and empowerment in post-colonial Africa.
Harnessing Artificial Intelligence (AI) and Blockchain Technology for the Advancement of Finance Technology (FinTech) in Businesses
Authors: Gitobu Clay , John Ogetonto
Published: February 2025

This brief investigation seeks to explore the significant impact and offer a thorough analysis of the transformative potential of artificial intelligence (AI) and blockchain technology in revolutionizing financial technologies (FinTech) within the context of African business environments. Central to this study is an examination of how AI-driven solutions and blockchain technology can improve efficiency, accessibility, and innovation in financial services. Currently, African businesses face numerous challenges that hinder their overall success. Among these are the prevalence of fraud in Africa’s economy and the absence of credit scoring and reliable risk management, leading to bad debts and poor capital management. The businesses also lack data infrastructure, regulatory compliances, customer engagement and personalisation data privacy, cybersecurity and volatile currencies. Through intensive evaluation, we will be venturing into and showcasing how applications of AI and blockchain technology address these hurdles via techniques involving fraud detection, risk mitigation, advanced credit assessments and scoring for underserved communities, loan origination systems, and automated customer support utilising tools like chatbots, bolstered market analytics, streamlined regulation conformance, and augmented financial inclusivity encompassing digital payment platforms, saving mechanisms, loans, investments, and insurance products. By leveraging AI, African businesses can propel FinTech innovation and progression, foster economic prosperity, and drive sustainable development. The paper comprehensively analyses the current state of AI-driven FinTech solutions in Africa, identifying key factors that can unlock a new era of financial innovation, potential challenges businesses may face in implementing these technologies and our comprehensive research on their solutions.
Integration of AI in Education and Didactic Childhood Advancement and Progress
Authors: Gerald Mutsotso  , Jesse Goin  , Gerald Mutsotso
Published: February 2025

The state of education in our country has been a contentious topic for many years. Numerous reforms have been done but there are still some problems – inefficient learning resources, is but one of the many. Due to inexperience on this topic this problem continues to plague the education system. However, taking an informed and educated approach with the interests of the students prioritized, we believe that many of these problems could be solved with the use of Artificial Intelligence (AI). Its proper integration into the education system could aid in the improvement of efficiency of learning resources, through the use of various tools like chatbots, adaptive learning systems and intelligent assessment systems. By implementing the use of AI in a world where learning resources are scarce, there can be standardized learning throughout the country regardless of availability of learning materials. The main agenda of this study is to explore ways of implementing the use of Artificial Intelligence into educational systems to integrate the use of learning materials, hence bringing about improved quality of education. We are fully aware of the problems facing the implementations of this study but we are ready to conduct rigorous research to combat them.
Examination of AI Enhanced Distributed Systems and its Effects on Software Engineering
Authors: Mehmet Uzgoren  , Hana Sultana  , Mina Uzgoren  , Nilufer Okumus
Published: February 2025

Distributed systems are groups of independent computers that appear to the system's users as a single coherent system. These systems involve several critical factors, including network communication, concurrency, and fault tolerance, which are vital in software engineering. For example, cloud computing platforms like Amazon Web Services (AWS) use distributed systems to offer scalable, on-demand resources to millions of users worldwide. The introduction of Artificial Intelligence (AI) into software engineering marks a transformative period that reshapes traditional development processes and breaks down the complexity of distributed systems. AI automates routine tasks and simplifies complex processes, serving as a digital collaborator that enables developers to focus on strategic thinking and creativity. One significant advantage of using AI in distributed systems within software engineering is enhanced resource optimization. AI can identify irregularities that might indicate hardware malfunctions and take preventative measures to address them, such as rerouting traffic to healthier servers. However, distributed systems also have challenges, including increased complexity in system design, difficulty ensuring data consistency, and potential security vulnerabilities. The intricate structure of these systems can result in problems with high startup costs, safety risks, and the accuracy of the data provided. Integrating AI into distributed systems offers both significant advantages and disadvantages. This study evaluates how AI impacts the efficiency and security of distributed systems in software engineering. By analyzing the advantages and disadvantages of AI-enhanced distributed systems, we can gain a comprehensive understanding of their overall effectiveness and implications in the field.
The Current State of STEM Education in the United States: Strengths and Shortcomings
Authors: Jessen Ramen  , Beatriz Cruz  , Shivani Iyer
Published: February 2025

STEM education (Science, Technology, Engineering, and Mathematics) has been revered for many decades for its potential to foster innovation, critical thinking, and problem-solving skills essential for the modern workforce. However, while the benefits of STEM are widely acknowledged, significant challenges remain in its implementation, particularly in addressing the needs of a diverse and evolving society. This paper explores both the advantages and the disadvantages of current STEM educational practices. Through a thorough review of existing research and empirical data, we identify key areas where STEM succeeds in providing baseline skills for a prolific STEM career, and also key areas where STEM education falls short, such as inclusivity, accessibility, and the integration of interdisciplinary approaches. We argue that for STEM to truly fulfill its purpose, it must undergo substantial improvements to better accommodate diverse populations and contemporary societal demands. Our findings suggest that a more holistic and equitable approach to STEM education is necessary, one that not only preserves disciplinary integrity but also promotes cultural relevance and broadens participation across all demographics. This research highlights and attempts to specify the urgent need for systemic changes to ensure that STEM education can effectively contribute to a more inclusive and fruitful society in the future.
Secure Data Sharing in Decentralized Networks: Encryption Techniques, Access Control Mechanisms, and Data Integrity Verification
Authors: Tensae Laki  , Taha Asif  , Nahaar Mirza  , Mehmet Uzgoren
Published: February 2025

The introduction of decentralized systems in a rapidly changing technological world has introduced many issues and risks regarding privacy and secure data exchange. This paper addresses the complexities of secure data exchange within decentralized systems, focusing on encryption techniques, access control mechanisms, and data integrity verification. We begin by analyzing the impending risks and limitations within decentralized systems, including the potential for unauthorized access and data breaches from vulnerable points present in decentralized system entities. Subsequently, we analyze and explore modern methods of encryption to safeguard confidential data while also ensuring privacy. Furthermore, we examine access control strategies and integrity verification protocols, which play crucial roles in ensuring that data remains secure against unwarranted access and reliable across distributed ecosystems. Our findings emphasize the need for robust and intricate security measures adapted to the unique framework of decentralized systems. This study aims to advance the understanding of privacy and security in decentralized systems while serving as a stepping stone and valuable resource for future research.
Nanotechnological Innovations in Healthcare
Authors: Halil Tunc  , Ahyan Hassan  , Hasan Rizvi  , Saifullah Alsaaty  , Emine Tunc
Published: February 2025

Nanotechnology is a concept much older and more prevalent than you may think.[19] This article will delve into the applications of nanotechnology in various fields of medicine. Using ideas and research, old and new, we explore how nanotechnology saves, improves, and, in some cases, enables life.[15] This model led us to create a paper covering a diverse array of medicinal fields in which nanotechnology has the most opportunity and effect. Frankly, the fields we chose have nothing in common other than significant and interesting applications of nanotechnology. However, even with our diverse array of fields, we only cover a fraction of nanotechnology’s massive impact across medicinal practice altogether. Nanotechnology has broken into almost every major sector of medicine, finding use from routine practices, such as drug delivery, all the way to extraordinary procedures, such as bone regeneration. We explore the applications of nanotechnology in the cardiovascular, reproductive, antiviral, skeletal, and surgical fields. Our studies show that nanotechnology is no longer limited to science fiction and has a major impact that will only grow with time and technology.[19] Doctors and scientists are making full use of nanotechnology’s capabilities by using it in any and all cases that require precision and effectiveness that is either impossible or extremely difficult and dangerous when performed by human hands. This makes many treatments less hazardous and more effective, saving and improving an exponential number of lives as time goes on. [15]
Functionality of Physics-Informed Neural Networks and Potential Future Impacts on Artificial Intelligence
Authors: Tejas Nair  , Gokgol Merve
Published: February 2025

Physics-informed neural networks, or PINNs, are indicative of a new approach that involves the use of scientific knowledge, as these programs adhere to laws of physics described by general nonlinear partial differential equations while solving problems that are related to physics. This is accomplished via programming these equations into the loss function, which ensures that the underlying system adheres to these laws. This paper will be discussing how PINNs function and analyze how they make use of physics when solving problems. PINNs can be used to model physical systems and phenomena in the real world, including combustion, quantum mechanics, and the simulation of fluid. The data embedded into the code of PINNs also serves to address the issue some neural networks may have with a lack of important data needed to solve relevant scientific issues. The rules and constraints PINNs have ensures that they will provide more realistic solutions in comparison to alternatives. Lastly, this paper will be discussing the potential future applications of PINN programming and functionality on future artificial intelligence (AI) development. PINNs have the potential to address complex scientific problems in a way that other solutions may not be able to, and as such, they are an important topic of discussion.
Acculturation Strategies and Their Impact on Psychological Health
Authors: Yahya Guvercin  , Samirah Chowdhury  , Burak Durmaz  , Mustafa Yazici
Published: February 2025

The dramatic rise in migration during this decade has sparked many questions regarding migrant’s choices and how these choices determined or altered their lives. This study explores the impact of various acculturation strategies—assimilation, separation, integration, and marginalization—on the mental well-being of migrants. Our research strategy involves employing a literature review to synthesize quantitative data from psychological assessments and qualitative insights from migrant interviews. Findings indicate that marginalization, characterized by a lack of engagement with both the host and origin cultures, correlates with the poorest mental health outcomes, including heightened levels of stress, anxiety, and depression. Conversely, integration, where migrants maintain their cultural heritage while also participating in the host culture, is associated with the most favorable psychological health, reflecting lower stress levels and higher life satisfaction. While some migrants report a sense of security and identity preservation, others experience isolation and limited social support, leading to mixed mental health outcomes. Ultimately, this research sheds light on how migrants’ approach to cultural ties can be pivotal in their lives by directly impacting their psychological health. We aim for this paper to be a didactic source of information for policy makers, migrants and even citizens to use in order to create societies that promote collectivity and cultural diversity.
The impact of sugar control on pancreatic cancer progression for the elderly: A case study and review of current evidence
Authors: Alex Chirayath  , Cathy Obawole  , Omer Ulucan  , Yakup Bayar
Published: February 2025

Pancreatic cancer is a type of cancer that originates in the pancreas, an organ that aids in digestion and blood sugar regulation. It is characterized as an aggressive type of cancer that presents with symptoms that often go undetected. In 2024, there were an estimated 66,440 new cases of pancreatic cancer and an estimated 51,170 deaths from pancreatic cancer, with a 5-year relative survival rate of 12.8% (SEER, 2023). While traditional medical interventions such as surgery and chemotherapy continue to be the cornerstone of treatment, there is an emerging focus on the potential impact of dietary and nutritional factors in both preventing and managing pancreatic cancer. This approach is particularly relevant for elderly patients due to the heightened risk associated with surgery at their age and their reduced tolerance to chemotherapy regimens. This paper presents a compelling case study of a pancreatic cancer patient who adopted a sugar-restricted diet, resulting in a notable decrease in the tumor marker CA 19-9, which is commonly associated with pancreatic cancer. Building on this individual case study, this paper provides a comprehensive review of current scientific literature to examine the potential relationship between sugar consumption and pancreatic cancer development and progression. By examining this intersection of nutrition and oncology, this study aims to expound upon possible alternative or complementary approaches to pancreatic cancer management, especially for vulnerable populations such as the elderly. This research could lead to new strategies for improving outcomes and quality of life in pancreatic cancer care. 
Keywords: Pancreatic cancer, Dietary modifications, Sugar reduction, Nutrition, Anti-inflammatory diet, Chemotherapy, Oncology nutrition
A Novel Method for Optimising Energy Efficiency in High-Performance Computing Systems
Authors: Aarah Sardesai  , Saif Al Dulaimi  , Gokgol Merve
Published: February 2025

This paper introduces a new method to promote energy efficiency in computing systems. The rapidly growing demand for computational power in high-performance computing (HPC) systems is accompanied by a significant increase in energy consumption. This research investigates the many ways to minimise energy consumption in HPC systems without sacrificing computational performance. Building upon previous research we combined and refined ideas to develop an optimised approach. Our method utilises a tri-modular framework incorporating an Energy-Efficient Hardware Design, Resource Management, and Optimisation, and Server Virtualisation. The first module employs a method of designing smart energy-efficient hardware. This method incorporates leakage reduction techniques such as clock gating and sleep states. The second module uses a technique focused on optimising server software. This method is based on Dynamic Voltage and frequency scaling (DVFS) for power management in data centres. The third module is based on server virtualisation and employs software to create multiple virtual machines on a single physical server allowing for a significant reduction in energy and hardware costs. The methods used in these three modules are systematically integrated to produce a more efficient consumption of electricity. This will allow for the computing system to minimise energy consumption without compromising computational power.
Keeping your staff: a guideline for successful retention strategies
Authors: Schabasser Christina
Published: February 2025

Employees are a major asset and the key to a company's success. Therefore, companies should do their best to retain them. However, the rise in employee turnover has been a challenge for companies worldwide. Some factors lead to such a condition, including high-stress levels, poor employee commitment, and poor remuneration. This study surveyed employees from diverse global industries to identify factors that lead to employee retention and turnover as well as determine retention strategies.
Ethical Decision-Making Using AI in Multinational Corporations
Authors: Tracey Nyaribo  , Shanice Mumbi  , Danish Bashir
Published: February 2025

With technology developing at such a swift pace, much transformation is observed in multinationals. As known, one of the most sensational inventions that is changing business processes and decision-making is Artificial Intelligence. In this paper, we will discuss the ethical problems arising when decisions involving artificial intelligence have to be made by a multinational firm and how the problems can be solved by the firms while using this latest technology to gain a competitive advantage as well as make moral decisions in a world that is becoming complex with each passing day. We presented a relevant case study, based on recent events from leading multinationals such as Coca-Cola as well as relevant examples from Microsoft and Amazon and showed how AI is needed for ethical decision making.
By using Artificial Intelligence, numerous corporations can automate their processes, understand certain data and therefore effortlessly adapt to market adjustments. This will not only promote efficiency but also support multinational companies in making ethically effective decisions. As the company deals with problems in the global world, emphasis on ethical decision making serves as a key issue while attempting to build trust and integrity in their expansion efforts. The overall result is that ethical use of AI in business decision-making will bring about an overhauling of the corporate world and its advancement. Multinationals that will choose to adopt using AI ethically, stand tall and prepared for success in growth in a high-tech business atmosphere.
Examining the Importance of AI-Based Criteria in the Development of the Digital Economy: A Multi-Criteria Decision-Making Approach
Authors:   Computer Science and Software Engineering Department, Concordia University, Montreal, Quebec, Canada, Entezami Mahmoudreza , Basirat Sepideh ,   Master of Business Administration, Department of Business Administration, University of the Potomac, Washington, DC 20005, United States, Moghaddami Behzad ,   Department of Informatics, Linnaeus University, Universitetsplatsen 1, 352 52 Växjö, Sweden, Bazmandeh Danial ,   Department of Computer Science, State University of New York at Stony Brook, Stony Brook, New York, United States, Charkhian Dorsa ,   Drexel University Westphal College of Media Arts & Design, Philadelphia, PA 19104, United States
Published: February 2025

As one of the main pillars of global transformation in the contemporary world, the digital economy helps create new economic and business opportunities through new technologies. In addition to improving efficiency and reducing costs, this transformation plays a vital role in the economic growth and development of various countries. Artificial intelligence, as one of the key technologies in the development of the digital economy, has a profound impact on optimizing processes, increasing productivity, and enhancing customer experience. By processing big data and providing advanced analytics, this technology makes economic decisions faster and more accurately and affects various sectors of the digital economy. In this regard, 20 key AI-based criteria in the development of the digital economy were extracted from a review of previous studies and were placed in four general categories. The four general categories include structural, organizational, technological and economic. Hesitant Fuzzy Best Worst Method (HF-BWM) was used to rank the AI-based criteria in the development of the digital economy. “Investing in innovation (C16)”, “Potent processing capabilities (C1)”, “Process automation and intelligence (C11)”, “Identifying growth opportunities (C6)” and “Adapting business models to changes (C7)” ranked one to five, respectively. Managers in the digital economy should pay attention to investing in innovation and strengthening processing infrastructure to exploit new technologies and make more accurate decisions. Process intelligence, identifying new areas of growth and adapting the business model to market changes also help improve efficiency, reduce costs, exploit new opportunities and make organizations stable in the face of rapid changes and increasing competition.