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Academia Open
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 27147444     DOI : https://doi.org/10.21070/acopen
Core Subject : Economy, Humanities, Health, Science, Education, Agriculture, Art, Social,
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Physics Social Sciences Other
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. Academia Open is an open access journal publishing scientifically accurate and valuable research across life, physical, social, and medical sciences.
Arjuna Subject : Umum - Umum
Articles 130 Documents
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Search results for , issue "Vol 9 No 1 (2024): June" : 130 Documents clear
Update About The Changes In Bacterial Resistance For Multiple Antibiotic In Patients With Urinary Tract Infection In Kerbala Kawther Mohammed Radah Ali
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8928

Abstract

Urinary tract infections (UTIs) caused by Escherichia coli (E. coli) are common and recurrent, particularly among females. Treatment often involves various antimicrobial agents, but rising resistance poses challenges. We conducted a study in Al-Hussein Medical City, Kerbala, enrolling 520 UTI patients from April 2022 to February 2023. Urine samples were tested for antimicrobial susceptibility. Results showed high resistance to most agents, except meropenem and levofloxacin. Our findings emphasize the urgent need for strategies to combat antimicrobial resistance in UTIs. Highlights: High resistance in UTI treatment observed. Urgent need for antimicrobial resistance strategies. Study reveals E. coli resistance patterns in Kerbala's medical setting. Keywords: Urinary tract infections, Escherichia coli, Antimicrobial resistance, Al-Hussein Medical City, Kerbala
Evaluation Effect of COVID -19 Vaccines on Alopecia Areata Marwah S. Kadhim; Layth Hussein Hadi Alshaibah; Roaa Abid Jaythoom
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8931

Abstract

This study investigates the impact of COVID-19 vaccination on Alopecia Areata (AA) severity, particularly focusing on gender differences. Data from 65 AA patients (30 vaccinated, 35 unvaccinated) and 1,602,596 healthy controls were analyzed. Physical examinations, laboratory tests, and Severity of Alopecia Tool (SALT) scores were used. Results showed a significant increase in AA severity among vaccinated individuals, especially males, with Pfizer's vaccine having a stronger effect post-second dose. These findings highlight the need for continued research and monitoring of AA post-COVID-19 vaccination. Highlight: Severity Rise: COVID-19 vaccination linked to increased Alopecia Areata severity, especially in males. Pfizer's Impact: Second dose shows stronger Alopecia Areata association than AstraZeneca. Continued Monitoring: Emphasizes need for ongoing research on vaccine-autoimmune disorder interactions. Keyword: Alopecia Areata, COVID-19 Vaccination, Gender Differences, Severity, Monitoring
Analyzing if calcium channel blockers can save pregnant patients with persistent hypertension from developing preeclampsia Nada Mohammed Basil; Shatha Salim Mahmood; Ola Hikmat Makki
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8933

Abstract

Pregnant women with chronic hypertension face elevated risks during pregnancy, necessitating effective management strategies. This study evaluates the potential benefits of combining low-dose aspirin therapy with calcium channel blockers, particularly nifedipine, in this population. Thirty-seven participants were enrolled between July 2015 and September 2017, receiving combination therapy as part of their treatment regimen. Results indicate effective blood pressure control without significant adverse events, with 36.8% experiencing preeclampsia but no severe cases reported. Neonatal outcomes were generally favorable, although 15% of babies were classified as small-for-gestational-age, all achieving Apgar scores between nine and ten. These findings suggest promising outcomes with combination therapy, emphasizing the need for further research to optimize management approaches for pregnant individuals with chronic hypertension. Highlight: Controlled blood pressure: Combination therapy effectively manages blood pressure in chronic hypertension. Lowered severe complications: Potential reduction in eclampsia and placental abruption risks. Positive neonatal outcomes: Favorable Apgar scores and reduced small-for-gestational-age incidence. Keywoard: Chronic Hypertension, Pregnancy, Combination Therapy, Low-Dose Aspirin, Calcium Channel Blockers
Applications of Chitosan Polymer Membrane to Removal Methyl Orange Dye from Aqueous Solutions Sammah Naeem Ghazi; Saleh Abdel-Sahib Shamukh; Abbas Essam Abdulhassan; Ali JassimEbadi; Muhammad Youssef Jarmal; Rana Ali Qanbul; Rehab Saad abd Ali; Fatima abdalzahra laibi; Fatima Mohammed Mahdi; Zahraa Ali Hussein; Zahraa Mohammed Hassan
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8934

Abstract

In this study, membranes made from chitosan, a natural polymer derived from shrimp shells, were investigated for their ability to remove toxic methyl orange (MO) dye from water. The membranes were characterized using infrared spectroscopy, and the maximum absorption wavelength of MO dye was determined via UV-Visible spectrophotometry. Solutions of varying MO concentrations were passed through the chitosan membranes, and their absorbance was measured before and after filtration. Results showed high removal rates ranging from 85% to 95%, with the highest efficiency observed at 20 ppm MO concentration. This research highlights the potential of chitosan membranes as effective and sustainable solutions for water purification, addressing a crucial environmental and health concern posed by toxic dye pollution. Highlights: High removal rates: Chitosan membranes remove dye efficiently (85%-95%). Eco-friendly: Derived from shrimp shells, chitosan offers sustainable water purification. Advanced analysis: Infrared spectroscopy and UV-Visible spectrophotometry characterize membrane properties. Keywords: Chitosan membranes, Water pollution, Methyl orange dye, Removal efficiency, Environmental sustainability
Water injection in single well model case study
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8935

Abstract

This study compares two water injection patterns (line drive and five-spot) using CMG software in a cubic reservoir model based on Buzergan field data. Line drive injection showed higher water cut rates due to direct water flow, while the five-spot pattern distributes water flow across the area, resulting in lower water cuts. Economic analysis favors the line drive pattern for its lower setup cost and reduced water injection requirements. These findings offer insights for optimizing injection patterns and maximizing oil production in reservoir management. Highligt: Injection Pattern Comparison: Direct vs. Distributed Water Flow Analysis. CMG Software Simulation: Accurate Reservoir Modeling and Analysis Tool. Cost-Effective Optimization: Maximizing Oil Production with Economical Injection Strategies. Keyword: Water Injection Patterns, CMG Software, Reservoir Management, Oil Production Optimization, Economic Analysis
Resistance pattern of some bacterial isolates from burns and wound infection
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8936

Abstract

Wound and burn infections present ongoing challenges in healthcare due to multidrug-resistant bacteria. This study aimed to identify bacteria from these infections, assess antibiotic resistance, and evaluate treatment efficacy. Samples from 86 patients were cultured and tested for antibiotic susceptibility. Imipenem showed effectiveness against Gram-negative bacteria, while ciprofloxacin was more effective against Gram-positive bacteria. Rifampicin demonstrated reduced sensitivity. Staphylococcus aureus and Enterobacteriaceae were prevalent, indicating increasing multidrug resistance. These findings emphasize the need for tailored treatment strategies to combat antibiotic resistance effectively in wound and burn infections. Highlight: Resistance Challenge: Addressing antibiotic resistance in wound and burn infections. Tailored Treatment: Importance of customized approaches for effective antibiotic management. Predominant Pathogens: Identifying prevalent bacteria to guide targeted treatment strategies. Keywoard: Wound Infections, Burn Infections, Antibiotic Resistance, Bacterial Identification, Treatment Efficacy
Covid-19 Disease Detector Using X-Rays Based On Deep Learning Ali T. Mohammed; Hussein A. Ghazi; Mustaeen R. Mahdi; MohammedAlbaqer A. Abd Ali; Ahmed A. Fadhil; Ali F. Leebi; Ali M. Sahib; Mohammed S. Jebur
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8937

Abstract

This study presents an automated deep learning approach for the rapid detection of COVID-19 using chest X-ray images. Given the urgent need for efficient disease diagnostics, we utilize convolutional neural networks (CNNs) to develop a ResNet-based classification model. Our dataset includes ten images, five depicting COVID-19 cases and five standard X-ray images, chosen for their rapidity and low radiation dose. The model demonstrates high accuracy, successfully classifying all images. Transfer learning techniques further enhance performance, indicating the potential for broader application and improved diagnostic capabilities. This research addresses the current knowledge gap in automated COVID-19 diagnostics, offering a reliable method for swift and accurate detection, with implications for enhancing disease management strategies. Highlights: Rapid COVID-19 detection using deep learning. High accuracy with convolutional neural networks. Quick results with low radiation in chest X-rays. Keywords: COVID-19, deep learning, chest X-ray, automated diagnosis, convolutional neural networks
Flow injection system design for the determination of brown bismarck dye
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8938

Abstract

This study presents a low-cost flow injection system for estimating Bismarck brown dye, addressing the need for economical and efficient dye concentration measurement methods. The system's design and optimization process are detailed, focusing on parameters like carrier solution speed, dye model size, frequency, and dilution coefficient. Results show optimal conditions for accurate estimations, with the system outperforming traditional color methods in terms of sensitivity and measurement range. This novel approach offers a practical solution for various analytical applications requiring precise dye concentration assessments, with implications for cost-effective chemical analysis in diverse fields. Highlight: Low-cost flow system for Bismarck brown dye. Optimized for accuracy in dye concentration measurement. Practical and efficient for various analytical applications. Keyword: flow injection system, Bismarck brown dye, low-cost, optimization, dye concentration measurement
Interactive Learning Resources for the Digital Age: A Needs Analysis of Digital Textbook Development Ria Wulandari; Noly Shofiyah; Machful Indra Kurniawan; Rikhatul Jannah; Kofifah Silfanah
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9127

Abstract

The purpose of this research is to analyze the need for developing digital textbooks as interactive learning aids in the digital era. A survey with a research instrument in the form of a questionnaire was utilized as the research method. The questionnaire was distributed to 40 class VII pupils. Data analysis techniques employ descriptive statistics to identify the primary needs of students, as well as the design and desired interactive elements in digital textbooks. According to the requirements analysis, digital textbooks must have practice questions and answer keys, video and audio, student activity sheets, and relevant pictures. Furthermore, digital textbooks are simple to use, with Indonesian, colorful, easy-to-understand content and easy-to-read font kinds and sizes. These findings will serve as the foundation for the creation of digital textbooks that will improve the efficacy of learning in the digital age. Highlights : Interactive Elements: Digital textbooks should include practice questions, answer keys, multimedia (video and audio), activity sheets, and relevant images. User-Friendly Design: Textbooks need to be easy to use with clear, colorful content, and easy-to-read fonts in the Indonesian language. Educational Impact: The development of digital textbooks based on these findings aims to enhance the effectiveness of learning in the digital age. Keywords : digital era; digital textbook; interactive learning resources; needs analysisv
Radiology Safety in Iraq Exposes Critical Gaps in Training and Knowledge Ghufran Abdulsalam Razooqi; Husham Hussain Abdul Ra’aoof; Sajjad Salim Issa
Academia Open Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9154

Abstract

Ionizing radiation, with 18% from man-made sources, is widely used in medical imaging, posing significant hazards. This study assessed the knowledge, attitude, and practice of 125 radiology staff in Basrah, Iraq, using a cross-sectional design from February to June 2023. Data were collected via structured questionnaires and analyzed with SPSS version 26. Results showed 66.4% of respondents had good knowledge, with higher scores among males and those with higher education, particularly doctors. Positive attitudes were seen in 95.2% of participants, but correct practices varied significantly, and 88.8% had not undergone training on radiation hazards. The study underscores the need for improved training and education to enhance radiation safety awareness and practices. Highlights: Knowledge Levels: 66.4% showed good radiation hazard knowledge. Training Gaps: 88.8% lacked radiation safety training. Education Impact: Higher education, especially doctors, improved knowledge and practices. Keywords: Ionizing Radiation, Radiation Hazards, Radiology Staff, Knowledge Assessment, Safety Practices

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