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Libraries in the Age of Intelligent Information: AI-Driven Solutions Baber, Mehranullah; Islam, Kanwal; Ullah, Adnan; Ullah, Wahid
International Journal of Applied and Scientific Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijasr.v2i1.1295

Abstract

This study explores the paradigm change that artificial intelligence (AI) has brought about in the context of libraries in the age of intelligent information. A quantitative survey was carried out, and a methodical description of the study's procedure is provided. The research sampling strategy, data gathering, data collection tool, and statistical analysis are all included in this quantitative approach. Additionally, a random sampling procedure was used to choose the study sample. Similar to this, questionnaires were employed as response instruments to collect data in both physical and digital formats. Findings from the investigation showed that 45% of institutions are private nature and 50% institutions shows the status public. 1-10 years’ experience were 62% respondents, 11-20 years’ experience were 31% and only 8% of respondents were 21 years above experience. The study emphasizes how important it is to create a welcoming and open library ecosystem where artificial intelligence (AI) enhances operational effectiveness while protecting user privacy and pleasure. All things considered, this thorough analysis highlights the many ways that artificial intelligence (AI) might transform libraries and meet the many demands of their patrons. Looking forward, the article discusses the promising future of AI in libraries, envisioning AI-powered chatbots, predictive analytics, and virtual helpers as integral components of an AI-driven library landscape.
Prevalence and associated risk factors of gout among patients at Khyber Teaching Hospital Peshawar: A cross-sectional study Khan, Inam Ullah; Khan, Moheb Ullah; Khan, Shameem; Ullah, Ahmad; Khan, Muhammad Waqas; Ullah, Wahid
Svāsthya: Trends in General Medicine and Public Health Vol. 1 No. 3 (2024): November 2024
Publisher : PT. Mega Science Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70347/svsthya.v1i3.72

Abstract

Hyperuricemia and gout represent significant global public health challenges with varying prevalence rates across populations. This study aimed to investigate the prevalence and associated risk factors for gout among patients at the Khyber Teaching Hospital, Peshawar, Pakistan. This cross-sectional analytical study was conducted from January to March 2024 and involved 100 patients (57% female, 43% male) aged 18–65 years. Participants were recruited via systematic random sampling from the orthopedic department. Data collection included demographic information, anthropometric measurements, medical history, and serum uric acid levels, which were analyzed via the uricase enzymatic colorimetric method. 93% of the patients were between 21 and 60 years old, with 54% reporting a family history of gout. Notably, 95% of the participants presented elevated uric acid levels (>6.8 mg/dL in men, >6.0 mg/dL in women), with 40% falling within the 7.1–8.0 mg/dL range. The major comorbidities included hypertension (72%), thyroid problems (45%), and kidney disease (34%). Protein-rich diet consumption was reported by 84% of the participants, whereas alcohol consumption was reported by 17%. The general health assessment classified 65% of the participants as unhealthy. The findings indicate a greater prevalence of gout among females in this population, contradicting traditional patterns, along with significant associations with comorbidities and dietary factors. This study highlights the need for sex-specific screening protocols and comprehensive management approaches that address both primary gout symptoms and associated conditions. These results emphasize the importance of early intervention and lifestyle modification strategies in gout management within the South Asian.