102 research outputs found

    Algorithmic as well as Space and Time comparison of various Deep Learning Algorithms

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    Deep learning is an artificial intelligence subfield within machine learning. Now- a-days, deep learning has been used in various applications like computer vision, natural language processing, speech recognition, social network filtering, neural machine translation, etc. Deep learning, Convolutional Neural Network (CNN) is a set of deep neural networks mainly designed for image analysis. Deep learning strong ability is mainly due to multiple feature extraction. In this pa- per, we will discuss and compare AlexNet,VGGNet-16,Residual Network(ResNet-50,101,152)

    Changing Pattern of Mycena polygramma in Pakistan

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    There are number of factors which influence the natural vegetation of any area. These include rapid industrialization and developing infrastructure along with environmental problems which disturbed the natural habitat of the native species. Such factors also influence the entrance of new biodiversity in the ecosystem. The recent study attempts to report such phenomenon for the genus Mycena (Family Tricholomataceae). Keywords: Macromycetes, Mycena polygramma, Rapid Industrialization, environmental influence

    ATTITUDES FACED BY PROFESSIONAL AND STUDENT WOMEN ATHLETES UPON THEIR PARTICIPATION IN SPORTS

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    Background: The study was conducted to explore the relationship between attitudes related to gender script, threaten/harassed, getups, male interaction, and jealousy, and sports participation of professional and student women athletes. The present research was quantitative approach in nature. The response rate from 247 respondents including 120 professional sports women and 127 female student athletes (GC University Faisalabad) was noted beyond 300 sample size. For the purpose of data collection, structured survey questionnaire was developed. Descriptive statistics, Pearson’s correlation analysis, and multiple regression analysis statistical approaches through SPSS-25 were applied to edit and further analyze the collected data. The findings revealed that attitudes (gender script, threaten/harassed, getups, male interaction, and jealousy) faced by women athletes had significant relationship with sports participation. Results indicated that gender script, threaten/harassed, getups, male interaction, and jealousy had significant effect on sports participation of professional and student women athletes in determining women’s status in society. It was concluded that sports women are threated/harassed with other ground realities such as gender script and dominance, getups, male interaction, and jealousy in the way of their participation in sports. There is a need of campaign in Pakistani society for the equal rights of women in sports. Female coaches should also be hired to lead the sports women because they feel easy with them and it will reduce women’s exploitation and hesitation and expand the participation in sports in future

    Anxiety And Depression Among Medical Students During Covid-19 Pandemic In Faisalabad

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    Objectives: To find out the frequency of anxiety and depression among medical students during the Covid-19 pandemic and to study their relationship with socio-demographic factors. Methodology: Analytical cross-sectional study was conducted on medical students of various medical institutions in Faisalabad and their consent was taken beforehand. The study duration was 2 months (August to September 2021). Ethical approval was taken. The questionnaire was distributed online through google forms on social media platforms to all MBBS students of a medical college and the total number of responses received was 452. Non-probability purposive sampling was done.  The inclusion criteria were those students who gave consent and filled out the questionnaire and the exclusion criteria were those who didn't concede. A validated and structured questionnaire was used. The questionnaire consisted of four sections: demographic data; COVID-19-related attitudes and practising preventive behaviours, generalized anxiety disorder scale – 7 (GAD-7) to determine anxiety among medical students and patient health questionnaire – 9 (PHQ-9) to determine depression. Results: Most of the students i.e. 132 (29.2) were having mild anxiety, followed by minimal, moderate and severe anxiety. Similar scores were observed in PHQ-9 results which showed mostly students were having mild depression i.e. 127 (28.1) followed by minimal, moderate, moderately severe and severe depression respectively. Average GAD-7 score was 8.73 (M = 8.73; SD = 5.78); average PHQ-9 score was 10.78 (M = 10; SD = 7.1). Significant relationship was found between gender (p = 0.00), year of study (p = 0.039), suffered Covid-19 in present or past (p = 0.00), afraid of getting Covid-19 (p=0.001) with anxiety and gender (p = 0.00), suffered Covid-19 in present or past (p=0.001) and afraid of getting Covid-19 infection (p=0.001) with depression. Conclusion: There was a high prevalence of medical students suffering from anxiety and depression during Covid-19. The students in the age group above 21 years, females, year of study (4th year) and afraid of getting Covid-19 infection were at higher risk of psychological distress in a pandemic. It is important to find ways to alleviate the pressure and fear of college students, provide them with more social support, and help them adapt to the changes in their learning styles and lifestyle

    Bioavailability and Metabolic Pathway of Phenolic Compounds

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    As potential agents for preventing different oxidative stress-related diseases, phenolic compounds have attracted increasing attention with the passage of time. Intake of fruits, vegetables and cereals in higher quantities is linked with decreased chances of chronic diseases. In plant-based foods, phenolic compounds are very abundant. However, bio-accessibility and biotransformation of phenolic compound are not reviewed in these studies; therefore, a detailed action mechanism of phenolic compounds is not recognized. In this article, inclusive concept of different factors affecting the bioavailability of phenolic compounds and their metabolic processes is presented through which phenolic compounds go after ingestion

    Non-cardiac surgery in patients with prosthetic heart valves: a 12 years experience

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    Objective: To study patients with mechanical heart valves undergoing non-cardiac surgery and their anticoagulation management during these procedures. Study Design: It was a cohort study. Place and Duration of Study : The study was conducted at the Department of Cardiac Surgery, Punjab Institute of Cardiology, Lahore and Department of Surgery, Services Institute of Medical Sciences, Lahore, from September 1994 to June 2006. Patients and Methods: Patients with mechanical heart valves undergoing non-cardiac surgical operation during this period, were included. Their anticoagulation was monitored and anticoagulation related complications were recorded. Results: In this study, 507 consecutive patients with a mechanical heart valve replacement were followed-up. Forty two (8.28%) patients underwent non-cardiac surgical operations of which 24 (57.1%) were for abdominal and non-abdominal surgeries, 5 (20.8%) were emergency and 19 (79.2%) were planned. There were 18 (42.9%) caesarean sections for pregnancies. Among the 24 procedures, there were 7(29.1%) laparotomies, 7(29.1%) hernia repairs, 2 (8.3%) cholecystectomies, 2 (8.3%) hysterectomies, 1(4.1%) craniotomy, 1(4.1%) spinal surgery for neuroblastoma, 1(4.1%) ankle fracture and 1(4.1%) carbuncle. No untoward valve or anticoagulation related complication was seen during this period.Conclusion: Patients with mechanical valve prosthesis on life-long anticoagulation, if managed properly, can undergo any type of noncardiac surgical operation with minimal risk

    Architectural Design and Prototyping of Co-PPGIS: A Groupware-Based Online Synchronous Collaborative PPGIS to Support Municipality Development and Planning Management Workflows

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    Co-PPGIS has a wide variety of applications like municipal planning, emergency response, public health and security, etc. The main focus of this chapter is on the development and design of a Web Collaborative PPGIS (Co-PPGIS) infrastructure. As part of municipality’s planning and management services, Co-PPGIS is developed for real-time map sharing application system. Co-PPGIS is an effective and essential online meeting system for supporting group collaborations on geographic information such as maps and imageries, and capturing and sharing of local/domain knowledge in real time. Co-PPGIS permits amalgamation of geospatial data and collaborator’s input in the form of geo-referenced notations. It incorporates coherent components as map sharing, real-time chat, video conferencing, geo-referenced textual and graphical notations. The study aims to focus on public participation and geo-collaboration facilitated with information sharing, interactive geo-conferencing, real-time map, and data sharing with tools to draw features or add annotation to the map while discussions, uploading documents, and live communication. Co-PPGIS provides an efficient and reliable platform that will significantly reduce the time to acquire, process, and analyze data. The significance of this study is to contribute to existing public participation practices, to municipal planning, to decision-making, or to geographic information science

    Prevalence and demographics of anxiety disorders: a snapshot from a community health centre in Pakistan

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    <p>Abstract</p> <p>Background</p> <p>The developing world is faced with a high burden of anxiety disorders. The exact prevalence of anxiety disorders in Pakistan is not known. There is a need to develop an evidence base to aid policy development on tackling anxiety and depressive disorders in the country. This is the first pilot study to address the prevalence of anxiety disorders and their association with sociodemographic factors in Pakistan.</p> <p>Methods</p> <p>A cross-sectional study was conducted among people visiting Aga Khan University Hospital (AKUH), a tertiary care facility in Karachi, Pakistan. The point prevalence of anxiety amongst the sample population, which comprised of patients and their attendants, excluding all health care personnel, was assessed using the validated Urdu version of the Hospital Anxiety and Depression Scale (HADS). The questionnaire was administered to 423 people. Descriptive statistics were performed for mean scores and proportions.</p> <p>Results</p> <p>The mean anxiety score of the population was 5.7 ± 3.86. About 28.3% had borderline or pathological anxiety. The factors found to be independently predicted with anxiety were, female sex (odds ratio (OR) = 2.14, 95% CI 1.36–3.36, p = 0.01); physical illness (OR = 1.67, 95% CI 1.06–2.64, p = 0.026); and psychiatric illness (OR = 1.176, 95% CI 1.0–3.1, p = 0.048). In the final multivariate model, female sex (adjusted odds ratio (AOR) = 2, 95% CI 1.28–3.22) and physical illness (AOR = 1.56, 95% CI 0.97–2.48) were found to be significant.</p> <p>Conclusion</p> <p>Further studies via nationally representative surveys need to be undertaken to fully grasp the scope of this emerging public health issue in Pakistan.</p
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