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2. Analysis of Community-Based Awareness Regarding Schizophrenia: A Cross-Sectional Study from Pakistan: Community-Based Awareness Regarding Schizophrenia

Author

Mohsin, Hareem, Aslam, Muhammad Kamran, Fatima, Kaneez, Asif, Azka, Fiaz, Amal, Ahmad, Bushra, Khalid, Afeefa, Fatima, Warda, Mohsin, Hareem, Aslam, Muhammad Kamran, Fatima, Kaneez, Asif, Azka, Fiaz, Amal, Ahmad, Bushra, Khalid, Afeefa, and Fatima, Warda

Abstract

Schizophrenia is a serious mental disorder and general public usually show unfavorable attitudes towards the patients. Objective: The study assesses the extent of public knowledge about Schizophrenia, a mental illness, among Pakistan's educated population and to recommend ways to create a better society for the patients and caretakers. Methods: 500 participants voluntarily took part in the study. A questionnaire was developed and a cross-sectional survey was conducted among the respondents. Participants were asked questions related to general, medical, socioeconomic, and treatment information of schizophrenia. Data analysis was done using SPSS software via T/F tests and Chi-square analysis. Results: It was revealed that overall females were more aware of mental illness as compared to males. The age groups of 18-22, 23-27 and 33-37 and participants with graduate and post-graduate degrees were having more knowledge regarding general, medical, socioeconomic, and treatment categories. Upon analysis via chi-square using SPSS, null hypotheses were accepted. Conclusions: Despite of the people having knowledge regarding schizophrenia, there is a significant percentage of populace which is not aware. Seminars, workshops, and campaigns must be conducted to enhance the knowledge of the general public to put an end to this stigma from society which will help in giving better care to the patients.

Published
2022

11. Y Structure and dynamics elucidation of ionic liquids using multidimensional Laplace NMR

Author

Javed, Muhammad Asadullah, Ahola, Susanna, Hakansson, Par, Mankinen, Otto, Aslam, Muhammad Kamran, Filippov, Andrei, Shah, Faiz Ullah, Glavatskih, Sergei, Antzutkin, Oleg N., Telkki, Ville-Veikko, Javed, Muhammad Asadullah, Ahola, Susanna, Hakansson, Par, Mankinen, Otto, Aslam, Muhammad Kamran, Filippov, Andrei, Shah, Faiz Ullah, Glavatskih, Sergei, Antzutkin, Oleg N., and Telkki, Ville-Veikko

Abstract

QC 20171115

Published
2017
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13. Lower and Upper Bounds of Fractional Metric Dimension of Connected Networks.

Author

Javaid, Muhammad, Aslam, Muhammad Kamran, Asjad, Muhammad Imran, Almutairi, Bander N., Inc, Mustafa, and Almohsen, Bandar

Subjects
*NAVIGATION, *IMAGE processing, *INTEGER programming, *FRACTIONAL calculus, *CHEMICALS
Abstract

The distance centric parameter in the theory of networks called by metric dimension plays a vital role in encountering the distance-related problems for the monitoring of the large-scale networks in the various fields of chemistry and computer science such as navigation, image processing, pattern recognition, integer programming, optimal transportation models and drugs discovery. In particular, it is used to find the locations of robots with respect to shortest distance among the destinations, minimum consumption of time, lesser number of the utilized nodes, and to characterize the chemical compounds, having unique presentations in molecular networks. After the arrival of its weighted version, known as fractional metric dimension, the rectification of distance-related problems in the aforementioned fields has revived to a great extent. In this article, we compute fractional as well as local fractional metric dimensions of web-related networks called by subdivided QCL, 2-faced web, 3-faced web, and antiprism web networks. Moreover, we analyse their final results using 2D and 3D plots. [ABSTRACT FROM AUTHOR]

Published
2021
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