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Academia Open
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 27147444     DOI : 10.21070/acopen.11.2026.12985
Core Subject : Health,
Medicine & Pharmacology Public Health
Academia Open is published by Universitas Muhammadiyah Sidoarjo published 2 (two) issues per year (June and December). This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics research or review. Academia Open is available in online version. Language used in this journal is Indonesia or English.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 2,389 Documents
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Nanoisoflavonoids as a Promising Therapeutic Strategy for Glucocorticoid-Induced Osteoporosis: Nanoisoflavonoid sebagai Strategi Terapi yang Menjanjikan untuk Osteoporosis yang Diinduksi Glukokortikoid Ayat R. Sabeeh; Muna H. AL-Saeed
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10761

Abstract

General Background: Osteoporosis, a common condition exacerbated by glucocorticoid use, leads to significant bone loss and increased fracture risk. Specific Background: Conventional treatments primarily target calcium regulation, but emerging evidence suggests that natural compounds like isoflavonoids may offer therapeutic benefits. Knowledge Gap: Despite their potential, the efficacy of isoflavonoids and their nanoformulations in managing glucocorticoid-induced osteoporosis remains underexplored. Aims: This study aimed to evaluate the therapeutic effects of vitamin D, Ginkgo biloba isoflavonoid extract, and nanoisoflavonoids on glucocorticoid-induced osteoporosis in adult male rats. Results: Sixty rats were divided into five groups: a control, an osteoporosis model, and three treatment groups receiving vitamin D (10,000 IU/day), isoflavonoid extract (500 mg/kg/day), or nanoisoflavonoids (500 mg/kg/day) for one month. Molecular and physiological assessments revealed that nanoisoflavonoids were the most effective in restoring serum vitamin D levels, reducing parathyroid hormone concentrations, and downregulating parathyroid hormone gene expression, followed by isoflavonoid extract and vitamin D. Novelty: This study provides the first comprehensive evaluation of nanoisoflavonoids' superior efficacy in mitigating glucocorticoid-induced osteoporosis, highlighting their enhanced bioavailability and therapeutic potential. Implications: These findings suggest that nanoisoflavonoids could serve as a promising plant-derived nanotherapeutic for osteoporosis management, warranting further investigation through long-term studies and clinical trials to validate their safety and efficacy in human populations.Highlights: Glucocorticoid-induced osteoporosis lacks effective natural compound treatments. Nanoisoflavonoids restore vitamin D, reduce parathyroid hormone effectively. Nanoisoflavonoids offer a promising therapeutic strategy for osteoporosis management. Keywords: Osteoporosis, glucocorticoids, Ginkgo biloba, isoflavonoids, nanoisoflavonoids, vitamin D, parathyroid hormone, bone metabolism
Deep Learning and Fusion Techniques for High-Precision Image Matting: Teknik Pembelajaran Mendalam dan Fusi untuk Anyaman Gambar Presisi Tinggi Liqaa M. Shoohi; Jamila H. Saud
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10762

Abstract

General Background: Deep image matting is a fundamental task in computer vision, enabling precise foreground extraction from complex backgrounds, with applications in augmented reality, computer graphics, and video processing. Specific Background: Despite advancements in deep learning-based methods, preserving fine details such as hair and transparency remains a challenge. Knowledge Gap: Existing approaches struggle with accuracy and efficiency, necessitating novel techniques to enhance matting precision. Aims: This study integrates deep learning with fusion techniques to improve alpha matte estimation, proposing a lightweight U-Net model incorporating color-space fusion and preprocessing. Results: Experiments using the AdobeComposition-1k dataset demonstrate superior performance compared to traditional methods, achieving higher accuracy, faster processing speed, and improved boundary preservation. Novelty: The proposed model effectively combines deep learning with fusion techniques, enhancing matting quality while maintaining robustness across various environmental conditions. Implications: These findings highlight the potential of integrating fusion techniques with deep learning for image matting, offering valuable insights for future research in automated image processing applications, including augmented reality, gaming, and interactive video technologies. Highlights: Better Precision: Fusion techniques enhance fine detail preservation. Faster Processing: Lightweight U-Net improves speed and accuracy. Wide Applications: Useful for AR, gaming, and video processing. Keywords: Deep image matting, computer vision, deep learning, fusion techniques, U-Net
Exploring the Role of Insulin Resistance in Hormonal imbalance in PCOS patients: Menjelajahi Peran Resistensi Insulin dalam Ketidakseimbangan Hormon pada Pasien PCOS Nabil Hamdullah Al-Fahadi; Aya dhaher J; Astbraq Haitham A.; Sidra Yassin H.
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10765

Abstract

General Background: Urinary tract infections (UTIs) are a significant concern for transfusion-dependent beta-thalassemia (TDT) patients due to their compromised immune systems and frequent hospital visits. Specific Background: Identifying virulence factor genes in bacterial species isolated from UTIs in TDT patients is crucial for understanding pathogenicity and improving treatment strategies. Knowledge Gap: Despite the high prevalence of UTIs in TDT patients, limited studies have focused on detecting virulence factor genes in the bacterial isolates from this specific population. Aims: This study aims to identify virulence factor genes in bacteria isolated from the urine samples of TDT patients with UTIs. Results: Among 173 urine samples, bacterial growth was observed in 38 samples (21.96%), while 135 samples (79.03%) showed no growth. The identified isolates included Escherichia coli, Enterobacter cloacae, and Klebsiella pneumoniae, confirmed through DNA extraction, universal primers, and partial 16S rRNA sequencing. Novelty: This study provides new insights into the molecular characteristics of bacterial pathogens in TDT patients, highlighting the presence of specific virulence factors that contribute to infection severity. Implications: The findings enhance our understanding of bacterial virulence in TDT-related UTIs, offering a foundation for targeted therapeutic strategies and improved clinical management. Highlights: UTI Risk: TDT patients have higher susceptibility due to immune dysfunction. Bacterial Profile: E. coli, E. cloacae, and K. pneumoniae dominate infections. Clinical Impact: Supports targeted therapy for managing UTIs in TDT patients. Keywords: Urinary Tract Infection, Beta-Thalassemia, Virulence Factors, Bacterial Pathogens, 16S rRNA Sequencing
Green Energy and Tourism Drive Colombia’s Economic Growth and Stability: Energi Hijau dan Pariwisata Mendorong Pertumbuhan dan Stabilitas Ekonomi Kolombia Shavqiyev Erkin; Ulugmurodov Farkhod Fakhriddinovich; Ulmasov Diyorjon
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10768

Abstract

General Background: Colombia's economy has undergone significant transformations, influenced by global and domestic factors. Specific Background: While historically reliant on agriculture and energy resources, recent shifts emphasize services, infrastructure, and trade diversification. Knowledge Gap: Despite sustained economic growth, challenges persist in employment generation, economic equity, and macroeconomic stability. Aims: This study analyzes Colombia’s economic transition, assessing policy changes, GDP fluctuations, and structural composition to identify key drivers of economic recovery. Results: Findings indicate that economic growth prospects are strongly linked to investments in green energy and tourism expansion. Inflation reached 9.7% in 2023, negatively affecting consumer spending, while rising public debt necessitates careful fiscal management. Novelty: This research provides a comprehensive evaluation of Colombia’s evolving economic model, highlighting the role of sustainable investments and technological modernization in fostering long-term stability. Implications: The study offers critical insights for policymakers in designing strategies to enhance economic resilience through green technology investments, service sector expansion, and global market adaptation. Highlights: Economic Shift – From agriculture to services and trade diversification. Key Drivers – Green energy and tourism boost economic growth. Policy Focus – Manage inflation, public debt, and macroeconomic stability. Keywords: Colombian economy, economic transition, green energy, GDP fluctuations, policy planning
Beyond Budgeting for Adaptive Financial Management in Uzbekistan’s Banking Sector: Melampaui Penganggaran untuk Manajemen Keuangan Adaptif di Sektor Perbankan Uzbekistan Soatov Farhod Komiljon o‘g‘li
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10769

Abstract

General Background: The banking sector is undergoing significant transformation, necessitating adaptive financial management practices. Traditional budgeting, characterized by rigid annual plans and fixed targets, has proven inefficient in dynamic economic environments. Specific Background: Beyond Budgeting, introduced by Hope and Fraser, offers an alternative approach emphasizing rolling forecasts, decentralized decision-making, and adaptive performance evaluation. Knowledge Gap: Despite its success in global banking institutions like Svenska Handelsbanken and UBS, limited research explores its applicability in emerging markets, particularly in Uzbekistan. Aims: This study examines the limitations of traditional budgeting, the advantages of Beyond Budgeting, and its potential implementation in Uzbekistan’s banking sector. Results: Findings highlight that Beyond Budgeting enhances financial flexibility, operational efficiency, and customer responsiveness. Key enablers include investment in financial analytics, strategic decentralization, and regulatory adaptation. Novelty: This study provides a tailored roadmap for Beyond Budgeting adoption in Uzbekistan’s banking sector, addressing cultural resistance and regulatory challenges. Implications: Transitioning to Beyond Budgeting can significantly improve financial performance, enabling banks to navigate economic volatility and enhance long-term competitiveness. These insights contribute to the broader discourse on financial management innovation in emerging markets. Highlights: Traditional budgeting is inefficient in dynamic banking environments. Explore Beyond Budgeting’s benefits and applicability in Uzbekistan’s banking sector. Enhances financial flexibility, efficiency, and competitiveness in emerging markets. Keywords: Beyond Budgeting, banking sector, financial management, budgeting alternatives, rolling forecasts, decentralized decision-making, performance evaluation, cost efficiency, strategic financial planning.
Student Perspectives on Dialogic Learning Communication at DIC Business School: Perspektif Mahasiswa tentang Komunikasi Pembelajaran Dialogis di DIC Business School Dewi Khotimah; Ainur Rochmania
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10779

Abstract

General Background: Contemporary education increasingly emphasizes learner-centered communication that supports critical thinking, creativity, and active participation in response to dynamic social and professional demands. Specific Background: Dialogic, democratic, and praxis-oriented learning communication, as articulated in critical pedagogical traditions, seeks to connect theoretical knowledge with real-life and vocational contexts. Knowledge Gap: While dialogic learning communication is widely discussed conceptually, there is limited qualitative evidence describing how students perceive and experience such practices within vocational higher education institutions. Aims: This study aimed to describe student opinions on learning communication implemented at DIC Business School Sidoarjo. Results: Employing a qualitative descriptive approach through in-depth interviews with students and key informants, the findings show that learning communication at DIC Business School is dialogic and critical, encouraging open discussion, freedom of expression, collaborative interaction, and the application of theory in daily life and the world of work. Novelty: The study offers a focused qualitative portrayal of student perspectives on dialogic and praxis-based learning communication within a vocational business school environment. Implications: These findings underscore the relevance of dialogic and praxis-oriented communication in fostering active engagement, reflective thinking, and collaborative learning, providing practical insights for the development of communicative learning practices in contemporary vocational education. Highlights: Learners Reported Active Classroom Discussions and Freedom to Express Viewpoints. Instruction Linked Theoretical Content With Everyday and Workplace Practice. Collaborative Interaction Supported Reflective and Participatory Learning Experiences. Keywords: Student Opinion, Learning Communication, Dialogic Learning, Critical Pedagogy, Vocational Education
Simulation Analysis of Airfoil for Solar-Powered UAV Applications: Analisis Simulasi Profil Sayap untuk Aplikasi UAV Bertenaga Surya Javokhir Narimanov
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10782

Abstract

General Background: Solar-powered unmanned aerial vehicles (UAVs) are increasingly utilized for long-duration missions due to their ability to harness renewable energy, reducing operational costs and environmental impact. Specific Background: The aerodynamic performance of airfoils is crucial in optimizing flight efficiency and endurance for solar-powered UAVs, as it directly affects lift, drag, and overall energy consumption. Knowledge Gap: Despite the importance of airfoil selection, there is limited research on the aerodynamic characteristics of the NACA 2412 airfoil for solar-powered UAV applications under varying flight conditions. Aims: This study aims to analyze the aerodynamic performance of the NACA 2412 airfoil using XFLR5 software, focusing on the variation of lift, drag, and the coefficient of lift (Cl) across different angles of attack and Reynolds numbers to evaluate its suitability for solar UAVs. Results: The findings reveal that the NACA 2412 airfoil offers a well-balanced aerodynamic performance with favorable lift-to-drag characteristics. It demonstrates efficient lift generation while maintaining low drag at moderate angles of attack, making it a viable candidate for solar UAV applications. Novelty: This study provides a comprehensive simulation-based evaluation of the NACA 2412 airfoil, offering new insights into its performance under specific flight conditions for solar-powered UAVs. Implications: The results contribute to the informed selection of airfoils for solar UAV design, supporting the development of more efficient and enduring solar-powered aerial systems. Highlights: Evaluating NACA 2412 airfoil for solar-powered UAV efficiency. XFLR5 simulation analyzing lift, drag, and aerodynamic performance. NACA 2412 offers balanced lift-to-drag, supporting solar UAV applications. Keywords: Solar-Powered UAV, Airfoil, Aerodynamic Analysis, UAV performance, Energy Efficiency, Lift to Drag Ratio, Reynolds Number, Solar Energy Systems.
Digitalization in Air Traffic Management and Enhancement of Personnel Training Technologies: Digitalisasi dalam Manajemen Lalu Lintas Udara dan Peningkatan Teknologi Pelatihan Personel Shukurova Sabohat; Murodov Muhriddin
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10783

Abstract

General Background: The rapid advancement of digital technologies offers transformative possibilities for improving Air Traffic Management (ATM) and enhancing personnel training systems. Specific Background: In Uzbekistan, air navigation development is undergoing modernization, yet the adoption of advanced digital tools remains limited. Knowledge Gap: Despite global progress in digitalizing ATM, there is a lack of comprehensive evaluation on how digital tools impact both operational efficiency and the effectiveness of air traffic controller (ATC) training, particularly in developing aviation environments like Uzbekistan. Aims: This study aims to assess the integration of digital technologies in Uzbekistan’s ATM processes using a system modeling approach, focusing on operational improvements and training outcomes. Results: The findings demonstrate that AI-based decision support systems, real-time data analytics, radar automation, and virtual reality (VR) training platforms significantly enhance airspace safety, communication accuracy, and skill acquisition. System modeling, supported by MATLAB Simulink and Arena Simulation, revealed quantifiable improvements in traffic management efficiency and trainee performance. Novelty: This study provides the first systematic evaluation of digital ATM integration in Uzbekistan, offering empirical evidence on how these technologies align with ICAO and EUROCONTROL standards while addressing region-specific challenges. Implications: The results inform future policy directions, advocating for strategic digital adoption to modernize ATM infrastructure and improve ATC personnel readiness, with potential applicability to other developing aviation systems. Highlights: Digital technologies transform Air Traffic Management (ATM) and training systems. AI tools and VR training improve ATM efficiency and skill acquisition. Supports digital adoption for modernizing Uzbekistan's ATM and enhancing ATC readiness. Keywords: Air Traffic Management; Digitalization; System Modeling; Training Technology; Uzbekistan Aviation
Chemerin, CK, and LDH as Potential Biomarkers for Early Myocardial Infarction Detection: Chemerin, CK, dan LDH sebagai Biomarker Potensial untuk Deteksi Dini Infark Miokard Wisam Sbhan Khalf Mohamed
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10784

Abstract

General Background: Myocardial infarction (MI) remains a leading cause of mortality worldwide, with early diagnosis being crucial for effective intervention. Specific Background: Biomarkers such as Chemerin, Creatine Kinase (CK), and Lactate Dehydrogenase (LDH) have been implicated in inflammatory responses and vascular dysfunction associated with MI. Knowledge Gap: Despite existing studies on these biomarkers, their combined diagnostic potential and correlation with cardiovascular risk factors remain underexplored. Aims: This study investigates the relationship between Chemerin, CK, and LDH levels in MI patients, alongside other risk factors such as body mass index (BMI) and smoking, to assess their role as potential early diagnostic indicators. Results: A total of 70 samples (50 MI patients, 20 controls) were analyzed at Azadi Educational Hospital, Kirkuk, from November 2023 to March 2024. The study found significantly elevated levels of Chemerin, CK, and LDH (P < 0.05) in MI patients compared to controls, indicating their involvement in inflammation and myocardial damage. Novelty: This study provides evidence that these biomarkers, particularly Chemerin, may serve as predictive indicators for MI risk, offering an alternative approach for early detection. Implications: The findings highlight the potential of biomarker-based screening in clinical settings and emphasize the importance of lifestyle modifications to mitigate MI risks and complications. Highlights: Biomarkers play a crucial role in myocardial infarction diagnosis. Chemerin, CK, and LDH significantly elevated in MI patients (P < 0.05). Potential biomarkers for early MI detection and risk assessment. Keywords: Chemerin; Creatine Kinase; lactate dehydrogenase; Myocardial Infarction; Smoking.
The Effect of Compound Exercises Using a Training Intervention Mothod on Some Physical and Functional Abilities of Football Players Mohammed Ghani Hussein
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10785

Abstract

General Background: The development of football players’ physical and functional capabilities is crucial for optimizing performance, particularly in the latter stages of a match. Specific Background: Many players experience premature exhaustion, sluggish recovery, and reduced concentration due to inadequate training methodologies. Knowledge Gap: Existing training approaches often fail to integrate complex exercises that enhance both physical and functional attributes simultaneously. Aims: This study investigates the impact of complex exercises using a training intervention method on the physical and functional capabilities of football players. Methods: An experimental approach with a one-group pre-test and post-test design was applied to 17 players from Al-Masafi Sports Club competing in the Iraqi Premier League (2024–2025). Functional and physical performance was assessed before and after an eight-week training intervention. Results: Statistical analysis revealed significant improvements in key functional variables, including vital lung capacity and relative oxygen consumption (VO₂ Max), as well as enhancements in physical abilities such as sprinting speed and explosive power. Novelty: This study demonstrates the effectiveness of high-intensity interval training combined with complex exercises tailored to match-specific demands, bridging the gap between conventional conditioning and real-game performance. Implications: Coaches and sports scientists should incorporate targeted complex training methodologies to optimize players’ endurance, recovery, and concentration, ultimately enhancing competitive performance. Highlights: Players experience fatigue, slow recovery, and reduced concentration. Complex training interventions improve physical and functional capabilities. Enhances endurance, recovery, and performance in competitive football. Keywords: physical abilities, functional abilities, football players

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