14 research outputs found
Joy Learning: Smartphone Application For Children With Parkinson Disease
No full textParkinson's is a Neurologic disorder that not only affects the human body but
also their social and personal life. Especially children having the Parkinson's
disease come up with infinite difficulties in different areas of life mostly in
social interaction, communication, connectedness, and other skills such as
thinking, reasoning, learning, remembering. This study gives the solution to
learning social skills by using smartphone applications. The children having
Parkinson's disease (juvenile) can learn to solve social and common problems by
observing real-life situations that cannot be explained properly by
instructors. The result shows that the application will enhance their
involvement in learning and solving a complex problem
Hepatitis C Prevention Measures in Pakistan
No full textabstract: Hepatitis C virus (HCV) is endemic in Pakistan, with 5% of the population suffering from the disease. A unique aspect about HCV in Pakistan is the major role that healthcare workers play in its transmission, by reusing needles and giving therapeutic injections when they are not needed. This issue is furthered by patients’ misconceptions that invasive treatments, like injections, are more effective than oral medicines. The purpose of this project was to create a short video that addressed this inaccurate and dangerous perception, by educating Pakistanis about HCV and how to prevent infection and reinfection. In addition to disease transmission, accessibility to treatment options in Pakistan were also discussed. The video featured Pakistani physicians and some young adults. There were several limitations that delimited the project, including time, budget, the sudden death of a project participant, and the current COVID-19 epidemic as well as cultural, language, and physical barriers that come from filming a video about Pakistan as Americans. In the future, this video can serve as a framework for future efforts
Patriarchal Practices and Exploitation of Women: Walby\u27s Feminist Reading of Durrani’s Blasphemy
No full textThis study is a comprehensive critical account of Patriarchal Practices and Exploitation of Womanhood by the patriarchal society in the novel “Blasphemy”. Blasphemy, a 1998 novel by Pakistani renowned feminist author Tehmina Durrani, draws inspiration from a real-life incident. This study aims to analyse the patriarchal society in the novel Blasphemy. The study employs qualitative methods and draws on Salvia Walby\u27s theoretical framework in "Theorizing Patriarchy" to analyse the culture of patriarchy and the subjugation of women. Within this framework, the research explores the appalling atrocities committed in the name of religion to oppress women, as depicted in the novel "Blasphemy." Durrani conducts a thorough examination of the misrepresentation of Islam by exploitative religious leaders, highlighting how pseudo-clerics like Pir Sain manipulate Islamic principles to exploit his wife, Heer. Trapped in her husband\u27s brutal and corrupted world, she faces extreme exploitation. Despite Pir Sain proclaiming himself a man of God, his cruel actions towards his wife, other women, his daughter, and his son contradict this facade. This narrative sheds light on how contemporary religious leaders exploit their power and believers\u27 faith for personal gain
Analyzing the Impact of Machine Learning Algorithms on Software Requirements Classification
No full textAlong with the rapid growth of the world, the demand for efficient and successful software has increased swiftly. Any software has many steps for developing software and the most important step is software requirements engineering. Requirements classification can be applied manually, which requires great effort, time, and cost and the accuracy may vary. Many previous studies utilized machine learning algorithms to automate the classification process but traditional classification algorithms often require a large amount of labeled data, which can be expensive and time-consuming to collect. Few-Shot Learning (FSL) excels in situations with limited data, making it a promising alternative. This paper investigates the potential of applying Few-Shot Learning (FSL) algorithms for classifying software requirements. This study explores three prominent FSL algorithms: Prototypical Networks, Matching Networks, and Model-Agnostic Meta-Learning (MAML). These algorithms are evaluated on their ability to classify software requirements using a publicly available dataset. The results demonstrate that Prototypical Networks outperforms Matching Networks and MAML in this specific application. Matching Networks, designed for visual similarity tasks, struggle with textual data. Prototypical Networks achieve a remarkable accuracy of 82 percent, suggesting their effectiveness in learning class representations from a small number of samples. MAML also shows promising results with an accuracy of 76.9 percent. While acknowledging limitations in data pre-processing, the study concludes that FSL holds significant potential for efficient and cost-effective software requirement classification, particularly when dealing with limited labeled data
GrowMore: Adaptive Tablet-Based Intervention for Education and Cognitive Rehabilitation in Children with Mild-to-Moderate Intellectual Disabilities
No full textProviding equitable, high-quality education to all children, including those with intellectual disabilities (ID), remains a critical global challenge. Traditional learning environments often fail to address the unique cognitive needs of children with mild and moderate ID. In response, this study explores the potential of tablet-based game applications to enhance educational outcomes through an interactive, engaging, and accessible digital platform. The proposed solution, GrowMore, is a tablet-based educational game specifically designed for children aged 8 to 12 with mild intellectual disabilities. The application integrates adaptive learning strategies, vibrant visuals, and interactive feedback mechanisms to foster improvements in object recognition, color identification, and counting skills. Additionally, the system supports cognitive rehabilitation by enhancing attention, working memory, and problem-solving abilities, which caregivers reported transferring to daily functional tasks. The system’s usability was rigorously evaluated using quality standards, focusing on effectiveness, efficiency, and user satisfaction. Experimental results demonstrate that approximately 88% of participants were able to correctly identify learning elements after engaging with the application, with notable improvements in attention span and learning retention. Informal interviews with parents further validated the positive cognitive, behavioral, and rehabilitative impact of the application. These findings underscore the value of digital game-based learning tools in special education and highlight the need for continued development of inclusive educational technologies
Predictors and Features of Interstitial Lung Disease in Patients with Rheumatoid Arthritis
No full textBackground: Rheumatoid arthritis is a rare autoimmune disorder. The study aimed to assess the predictors and features of interstitial lung disease in patients with rheumatoid arthritis.
Methods: A retrospective study was conducted in the Pulmonology Department of Ibn-e- Siena Hospital, Multan, from August 2024 to August 2025. 200 patients diagnosed with rheumatoid arthritis who underwent pulmonary high-resolution computed tomography scan were included in the study by non-probability consecutive sampling. Based on the results of lung CT, patients were categorized according to the presence or absence of ILD. Data analysis was done by SPSS version 23. ANOVA, t-test and rank sum test were performed to assess quantitative variables, which were compared by x2 test. Statistical significance was set at a probability value of less than 0.05.
Results: A total of 86 patients (43%) with RA had interstitial lung disease. The most frequent manifestation in patients with ILD was non-specific interstitial pneumonia pattern in 50 patients (58.2%). The biochemical parameters, including globulin (p=0.005), gamma glutamyl transpeptidase (p=0.031), erythrocyte sedimentation rate (p=0.004), lactate dehydrogenase (p<0.001), CRP (p=0.022) and rheumatoid factor positive (p=0.026) were significantly elevated in ILD positive patients. Multivariate analysis showed age (OR: 1.601, 95% CI: 1.21-2.11), smoking (OR: 2.122, 95% CI: 1.35-3.76), rheumatoid factor (OR:1.689, 95% CI: 1.03-2.78), RA onset duration (OR: 0.373) and lactate dehydrogenase levels (OR: 7.374, 95% CI: 3.24-16.75) as independent risk factors of RA-ILD.
Conclusion: The incidence of interstitial lung disease in rheumatoid arthritis patients was 43% with advanced age, smoking, duration of RA onset and positive rheumatoid factor as independent predictor of incidence of ILD. Given the significant association with elevated inflammatory markers and high mortality risk, early HRCT screening is essential for timely diagnosis and improved management
