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All Journal Palmyra Fiber as Additional Materials on Solid Concrete Brick of Aggregate International Journal of Multidisciplinary Sciences and Arts
Abdullah Khan
Software and Multimedia Centre, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM)
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Materials Science & Nanotechnology

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Differences Between Self-Perceived Multiple Intelligences of Urban & Rural Schools Students Shahzada, Gulap; Ghazi, Safdar Rehman; Ali, Riasat; Khan, Umar Ali; Khan, Abdullah
Mediterranean Journal of Social Sciences Vol. 2 No. 2 (2011): May 2011
Publisher : Richtmann Publishing

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Abstract

The purpose of this study was to investigate the differences between self-perceived multiple intelligences of urban and ruralschools students. Measurement of central tendency, mean score, SD for the measurement of self-perceived multiple intelligences and onesample–t test was used for mean comparison of urban and rural schools students. Result showed that there is a significant differencebetween self-perceived verbal/linguistic, logical/mathematical, visual/ spatial and intrapersonal intelligence of urban and rural studentsand there is no significant difference between self-perceived, musical, bodily/kinesthetic, interpersonal and naturalistic intelligence of urbanand rural students.
Causes of Absenteeism from the Schools at Secondary Level Shahzada, Gulap; Ghazi, Safdar Rehman; Nawaz, Habib; Khan, AbdUllah
Mediterranean Journal of Social Sciences Vol. 2 No. 2 (2011): May 2011
Publisher : Richtmann Publishing

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The study aimed at to find out different causes of students’ absenteeism at secondary level in district Bannu, to sort out social,political and economic factors involved in the students’ absenteeism at secondary level. All secondary level students’ of district Bannuconstituted population of the study.100 students who frequently remained absent from the schools were conveniently selected as a sample ofthe study. Percentages have been used as statistical technique to analyze the data. Results of the study showed that most frequent causes ofthe absence of the students from the schools were their families’ participation in social activities, students help their parents in their work,too much home work and too many tests and examinations. It was recommended that by the care and concentration of parents, childrencan be encouraged to go to school. Availability of the school building, furniture, adequate libraries and clean and healthy environment,introducing modern methods and techniques, keeping in view the interests and needs of the children, providing financial aid to the studentswho are unable to afford the educational expenses, teachers’ sympathetic attitude are factors which can motivate and attract studentstowards schools.
Transforming Healthcare through AI: Unleashing the Power of Personalized Medicine khan, Abdullah
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2424

Abstract

The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness. The healthcare sector now places a lot of emphasis on providing patients with personalized care that is catered to their unique requirements and features. A significant force behind the development and use of customized healthcare is artificial intelligence (AI). This essay examines the use of AI in personalized healthcare and how it can affect several facets of healthcare provision. The study starts out by talking about how AI is being used in diagnostics, emphasizing how machine learning algorithms and the examination of various datasets can improve diagnostic accuracy. It goes into more detail about how AI can be used to create tailored treatment plans, utilizing patient-specific data and predictive analytics to maximize therapeutic results and reduce side effects. Examined are the ethical issues surrounding AI in customized healthcare, such as data privacy, algorithmic bias, and the value of responsibility and openness. The integration of AI into clinical practice is also covered in the study, along with prospects for improving decision-making, streamlining workflow, and overall healthcare delivery effectiveness.
Co-Authors Ali, Riasat Ghazi, Safdar Rehman Khan, Umar Ali Nawaz, Habib Shahzada, Gulap