Digital Commons Network^™

Delivering Inclusive Cultural Offers For Social Prescribing: A Realist Evaluation Involving Older People From Global Majority Backgrounds And Cultural Sector Providers In The Uk, Debra Westlake, Kamal R. Mahtani, Geoffrey Wong, Jordan Gorenberg, Marta Santillo, Kerryn Husk, Sofia Vougioukalou, Ruthanne Baxter, Shoba Dawson, Caroline M. Potter, Harriet Warburton, Beth Mcdougall, Stephanie Tierney

Peninsula Medical School

Introduction: Research shows cultural activities benefit older people's wellbeing, but little is known about why individuals from global majority (minority ethnic) groups engage less with the mainstream cultural sector, or how it could adapt to meet their needs and encourage engagement. The TOUS study (Tailoring cultural Offers with and for diverse older Users of Social prescribing) investigated the question: What tailoring is needed, how, when and for whom, to optimise cultural offers as part of social prescribing for older people (aged 60+) from global majority groups?. Methods: The TOUS study involved focused ethnographies with six cultural-sector organisations throughout the United …

Efficiency Of Neo4j In Designing And Analysing Graph Database For Air Quality Analysis Of Indian Metro Cities, Jiten Chavda, Kishan Bharvad, Rishap Parmar, Nidhi Arora

Journal of Informatics and Web Engineering

The analysis of the Air Quality Index (AQI) is currently a popular subject in the area of sustainable research, as it is crucial for investigating and analysing the effects of air pollutants on human health in urban environments. It has been identified over the last decade that airborne pollution has become a critical issue and will remain an important concern in India in the coming years. In recent years, a variety of models and algorithms utilizing big data techniques have been developed for the analysis of air quality data. In this paper, we suggest monitoring and feature analysis of air …

Radiology Report Generation Using Deep Learning And Web-Based Deployment For Chest X-Ray Analysis, David Agbolade, Peyman Heydarian, Shakeel Ahmad

Journal of Informatics and Web Engineering

The huge rise in the number of medical images has caused a major problem in radiology departments. Radiologists are now working harder than ever, which affects the quality of their diagnoses and patient care. It takes 15 to 30 minutes to write a manual radiological report for each case, and different people may see things differently. Modern departments process over 230 cases a week, which causes long delays in diagnosis. Automated report generation systems that are already in use have a lot of problems, such as not being able to be interpreted clinically, not having enough Digital Imaging and Communications …

Deep Learning-Based Automatic Detection And Diagnosis Of Tuberculosis From Chest X-Ray Images: A Comprehensive Analysis, Paschal C. Ahanotu, Deborah A. Adedigba, Raza Hasan, Sellappan Palaniappan

Journal of Informatics and Web Engineering

Tuberculosis (TB) continues to be one of the foremost public health issues in the world, and remains the second most salient communicable cause of death after COVID-19. In 2022, TB accounted for 10.6 million new infections and 1.3 million deaths globally. Conventional diagnostic approaches involving sputum smear microscopy, culture assays, and GeneXpert MTB/RIF are characterized by excessive turnaround times, elevated costs, and dependency on specialised infrastructure and trained personnel. These constraints are exacerbated in resource-poor countries, resulting in delayed diagnosis, delayed therapy initiation, and enhanced disease transmission. This work investigates the application of deep learning algorithms to automatically diagnose TB …

Ai-Driven Malware Analysis And Detection: A Comprehensive Survey Of Techniques, Trends And Challenges, Salman Khan, Hasnat Raza, Mansoor Alam

Journal of Informatics and Web Engineering

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data alteration, and to interrupt a normal operation of the services. The persistent evolution of malware has called for more sophisticated techniques in its detection and prevention, resulted into direct need of Artificial Intelligence in cybersecurity. Artificial intelligence, using machine learning techniques and rising concepts like neural networks has greatly improved the traditional static and dynamic ways of detecting malware. Advances in AI-driven solutions have made them much more …

Enhancing Fraud Detection In Financial Transactions Using Lightgbm And Random Forest, Wan-Ping Khor, Kah-Ong Michael Goh, Check-Yee Law, Connie Tee, Yong-Wee Sek, Riasat Khan

Journal of Informatics and Web Engineering

In recent years, the frequency and complexity of financial fraud have been rising and have become an urgent challenge for the global financial system. Traditional rule-based detection methods struggle to cope with new types of fraud, especially in terms of real-time detection, generalization ability, and accuracy. To overcome these limitations, machine learning techniques have gradually emerged as a promising solution for identifying fraudulent transactions with better flexibility and scalability. Based on the publicly available European credit card fraud transaction dataset, this study proposes a hybrid model that combines the advantages of LightGBM and Random Forest, aiming to improve the accuracy, …

Real-Time Posture Monitoring For Effective Exercise Using Mediapipe Python, Wan Izzul Wafiq Wan Noor Asmawi, S. Prabha Kumaresan

Journal of Informatics and Web Engineering

Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide instant feedback on the exercise form. The system captures video input through a webcam, processes it using OpenCV, and utilizes MediaPipe’s pose-estimation model to detect key body landmarks. By analysing the joint angles and comparing them to predefined optimal postures, the system evaluates the user’s form and provides corrective feedback in real time. This approach eliminates the need for expensive wearable sensors, making posture monitoring more accessible and user friendly. …

Design And Implementation Of A Web-Based Lecture Timetable Scheduling System, Suraj Abubakar, Mohammed Kabir Dauda, Maryam Abdullahi Musa, Bala Muhammad Muhammad

Journal of Informatics and Web Engineering

Timetable management is a controversial but core administrative activity at tertiary learning institutions, normally saturated with timetabling clashes, resource wastage, and communication breakdowns. This study describes the development and validation of a Web-Based Lecture Timetable Scheduling System (WLTSS) for Abubakar Tafawa Balewa University (ATBU) Department of Computer Science. The system was implemented to automatically and effectively build, modify, and publicize lecture timetables. On Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, and React as frontend technologies, the system provides an adaptable interface with real-time data updates through the Reacts component model foundation. MySQL and Node.js are used to run …

Vehicle Re-Identification System Using Residual Network With Instance-Batch Normalization, Wei Jie Low, Kah-Ong Michael Goh, Check-Yee Law, Connie Tee, Yong-Wee Sek, Md Ismail Hossen

Journal of Informatics and Web Engineering

Vehicle Re-identification (Re-ID) has become extremely important due to the increasing number of vehicles on the road and its potential to address traffic-related challenges. As a result, there is also a growing need for efficient methods to track and identify vehicles across multiple traffic cameras. One of the biggest challenges of this task is the variations in vehicle appearances across different camera angles. This is because vehicles can appear significantly different when captured from various camera angles and viewpoints. Furthermore, the current vehicle Re-ID solutions typically require extensive coding knowledge, making it inaccessible to many potential users. Therefore, we focus …

Editorial: Intelligent Systems And The Next Wave Of Digital Innovation, Hairulnizam Mahdin

Journal of Informatics and Web Engineering

The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even into people's daily experiences with technology. In this special issue "Intelligent Systems and the Next Wave of Digital Innovation," published in the Journal of Informatics and Web Engineering, reviews several studies to explore the increasing role of intelligent systems in current society and their importance. Some of the more significant areas of discussion are how to formalize the expectations for explainable AI, evaluating face recognition models in the real …

Evaluating Accuracy Latency And Robustness Of Face Recognition Models For Real-Time Web Applications, Alani Fatini Sharzizi, Nur Afiqah Sahadun, Abdulkadir Hassan Disina, Harinda Fernando

Journal of Informatics and Web Engineering

Face-recognition technology is one of the most important advancements in the field of computer vision. They play a crucial role in many applications, including biometric authentication, surveillance, online security, and interactive web systems. The use of web-based solutions is increasing continuously. Therefore, accurate and fast recognition models employing few resources are required in real-world applications. However, because of the challenges related to such environments, including the lighting, occlusion, pose, and computing power of client devices, it is difficult to ascertain which model will be most successful in a real-life scenario. The purpose of this research is to compare four deep …

Implementation Of Project Dharma And Future Directions, Francesca Piccolo, Jean Bessette, Anna Mcconnell, Zoe Brokos, Brian Townsend, Dasan Thamattoor, Kinna Thakarar

Journal of Maine Medical Center

Problem: Overdose deaths and rising rates of infectious disease in the state of Maine warrant a strong public health response, overdose prevention education, and interventions. Initiatives for community drug checking are an innovative approach to understanding the composition of the current drug supply. Drug-checking initiatives can inform people who use drugs (PWUD) what adulterants might be present in their drug supply. In partnership with 3 community organizations in Maine, Project DHARMA supports PWUD and community partners with infectious disease screening, community drug checking, and infection and overdose prevention.

Approach: Project DHARMA supports the delivery of evidence-based infection and overdose prevention …

Translator Professional Identity Under Market Demands: A Qualitative Analysis Of Job Advertisements In The Saudi Translation Market, Dr. Saad Salem Alshamrani

UB Journal for Humanities

This study examines how the professional translator identity develops in the Saudi translation market through recruitment discourse. It employs a qualitative analysis approach of Saudi job advertisements to address the research objectives. The researcher compiled a corpus of sixty Arabic and English translation related job advertisements publicly published on certain major platforms across Saudi Arabia. The analysis of these advertisements aims to explore how the employer expectations shape out the professional roles, skills, competencies and values. Equally important, the analysis probed on how the job advertisements meticulously detail the market demands and professional criteria through recurring requirements and evaluative descriptors. …

Reviving The Skies: The Impact Of Government Focus On Aviation Industry Growth In The Post-Covid World, Sumeet Hassan Anwar, Humna Asad

Journal of Aviation Technology and Engineering

Travel restrictions and border closures during the COVID-19 epidemic drastically reduced air traffic that affected the aviation sector. With an eye toward regional variances and public-private alliances, this essay investigates how government policies, financial interventions, and regulatory frameworks assisted recovery attempts. The essay also looks at how network-based resilience models lower vulnerabilities and improve operational connection, thus guaranteeing future disturbance readiness. Autoregressive integrated moving average models, among other forecasting instruments, help to forecast aviation demand and match recovery plans with changing market dynamics. By means of comparative policy analysis and network theory, this study reveals best practices from Asia, Europe, …

The Evolution Of Mro Outsourcing: Global Trends, Regulatory Challenges, And Strategic Considerations In Aviation Maintenance, David C. Ison

Journal of Aviation Technology and Engineering

The maintenance, repair, and overhaul (MRO) industry plays a critical role in ensuring the safety, efficiency, and sustainability of the global aviation sector. As airlines seek to reduce costs, optimize operations, and access specialized expertise, MRO outsourcing has become an increasingly prevalent strategy. This essay examines the key drivers of MRO outsourcing, including cost reduction, access to advanced technologies, and the focus on core competencies. The essay also explores emerging trends such as the rise of new MRO hubs in Asia and the Middle East, the integration of predictive maintenance and artificial intelligence, and the growing emphasis on environmental sustainability. …

Of Online Anger, Puppies, And Ice Cream, Daniel Nester

Creative Nonfiction Magazine

No abstract provided.

The Death Penalty: Righteous Anger Or Murderous Revenge?, Jill Patterson

Creative Nonfiction Magazine

No abstract provided.

Show And Tell: Research And Personal Writing, Phillip Lopate

Creative Nonfiction Magazine

No abstract provided.

Heroes And Consequences: On Masculinity And Redemptive Violence In American Culture, Chester F. Phillips

Creative Nonfiction Magazine

No abstract provided.

Birds, Craig Strydom

Creative Nonfiction Magazine

No abstract provided.

Sequelae: The Inner War, Bindu Wiles

Creative Nonfiction Magazine

No abstract provided.

Encounter: Buzz Bissinger

Creative Nonfiction Magazine

No abstract provided.

Letters

Creative Nonfiction Magazine

No abstract provided.

Required Reading

Creative Nonfiction Magazine

No abstract provided.

Back Matter

Communal Societies

No abstract provided.

Sexuality And Gender Roles In Utopian Communities: A Critical Survey Of Scholarly Work, Jon Wagner

Communal Societies

No abstract provided.

The Contribution Of Icarian, Alfred Piquenard, To Architecture In Iowa And Illinois, Lillian M. Snyder

Communal Societies

No abstract provided.

Communal Ideals, Worldly Concerns, And The Moravians Of North Carolina, 1753-1772, W. Thomas Mainwaring

Communal Societies

No abstract provided.

The Use Of Structural Arrangements And Organizational Strategies By Urban Communes, William L. Smith

Communal Societies

No abstract provided.

The Rajneesh Experience: A Report, Louis C. Androes

Communal Societies

No abstract provided.