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Perception of Electronic News Media of Pakistan in the Digital Age

  • Saeed, Muzammil;Farooq, Tayyab;Khan, Muazam Ali;Mahmood, Nasir
    • Asian Journal for Public Opinion Research
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    • v.9 no.3
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    • pp.293-306
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    • 2021
  • The news and views of Pakistani television channels are extensively shared on digital media for information or analysis where the general public discusses overt and covert agendas by mentioning their factual and presentational style. This study contributes to the contemporary studies of media perception through focus group interviews with 72 randomly selected master's and bachelor's students studying Media and Communication at the School of Media and Communication Studies, University of Management and Technology, Lahore, Pakistan to provide information about the feelings and observations of future journalists and media literates. In summary, the findings of our research exposed the negative perception of Pakistani electronic media among the participants due to what they perceived as biased, inaccurate, and unethical reporting.

Classification of COVID-19 Disease: A Machine Learning Perspective

  • Kinza Sardar
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.107-112
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    • 2024
  • Nowadays the deadly virus famous as COVID-19 spread all over the world starts from the Wuhan China in 2019. This disease COVID-19 Virus effect millions of people in very short time. There are so many symptoms of COVID19 perhaps the Identification of a person infected with COVID-19 virus is really a difficult task. Moreover it's a challenging task to identify whether a person or individual have covid test positive or negative. We are developing a framework in which we used machine learning techniques..The proposed method uses DecisionTree, KNearestNeighbors, GaussianNB, LogisticRegression, BernoulliNB , RandomForest , Machine Learning methods as the classifier for diagnosis of covid ,however, 5-fold and 10-fold cross-validations were applied through the classification process. The experimental results showed that the best accuracy obtained from Decision Tree classifiers. The data preprocessing techniques have been applied for improving the classification performance. Recall, accuracy, precision, and F-score metrics were used to evaluate the classification performance. In future we will improve model accuracy more than we achieved now that is 93 percent by applying different techniques

Determinants of Advanced Stage at Initial Diagnosis of Breast Cancer in Pakistan: Adverse Tumor Biology vs Delay in Diagnosis

  • Khokher, Samina;Qureshi, Muhammad Usman;Mahmood, Saqib;Sadiq, Sadia
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.2
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    • pp.759-765
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    • 2016
  • Background: Breast cancer is the most frequent cancer of women in Pakistan with the majority presenting with stage III or IV lesionsat initial diagnosis. Patient and health system related factors are well known determinants of delay in presentation and diagnosis. Additionally, breast cancer being a heterogeneous disease, the various molecular subtypes featuring different aggressiveness also need to be considered. The present study evaluated the association of stage at initial diagnosis of breast cancer with these two factors in local women at a tertiary level health care facility in Lahore, Pakistan. Materials and Methods: Patient and tumor features were recorded separately during diagnostic workup in Breast Clinics at INMOL and at Services Hospital, Lahore. Data were entered in MS Excel and analyzed by descriptive statistics and Chi-Square test. Results: Among the 261 patients, 64% were staged as late breast cancer (LBC), the mean age was 46.8 with standard deviation of 13 years. Some 92% had invasive ductal carcinoma (IDC), 61% had luminal types (LT) of non-aggressive tumor while 39% had the non-luminal types (NLT) of of HER2-enriched or basal aggressive tumors. While 70% of patients presented within one year of symptomatic disease (early report group "ERG"), 30% reported after a mean delay of 4 years with a standard deviation of 3.75 years. The stage distribution among ERG patients was not statistically different from those reporting late (P=0.123). Statistically larger proportion of patients with NLT presented as LBC as compared to the LT (P =0.034). Among the ERG, statistically different stage distribution of disease was observed for the NLT versus LT (P=0.047). Among those presenting late, this difference was insignificant (P=0.416). Conclusions: Breast cancer is a distinct disease in Pakistan with a high frequency of aggressive molecular types affecting younger women, with the majority presenting as LBC. Association of NLT with higher stage at diagnosis is statistically significant whereas time delay in diagnosis is not. Further research is required to define the risk profile and features in local patients. The burden of LBC can be reduced by promoting breast health awareness and by establishing easily accessible dedicated breast care set ups in the hospitals.

CA 15-3 (Mucin-1) and Physiological Characteristics of Breast Cancer from Lahore, Pakistan

  • Begum, Mumtaz;Karim, Sajjad;Malik, Arif;Khurshid, Rukhshan;Asif, Muhammad;Salim, Asmat;Nagra, Saeed Ahmed;Zaheer, Ahmad;Iqbal, Zafar;Abuzenadah, Adel Mohammed;Alqahtani, Mohammed Hussain;Rasool, Mahmood
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.10
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    • pp.5257-5261
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    • 2012
  • Background: High incidence of breast cancer and its fatal effect has reached an alarming stage across the globe, including the third world countries. Many factors have been reported to be associated with the development of breast cancer but detailed structural and functional information is missing. CA 15-3 is one of the known potential tumor marker of breast cancer; however little is known about structure and functional site of this protein. Present study aims to investigate the functional role of CA 15-3 in breast cancer, especially in development and metastasis. Material and Methods: Hundred female breast cancer patients confirmed by histopathological reports were included in the study. Their physiological characters were recorded in a performa. Enzyme linked immunosorbent assay (ELISA) technique was used to estimate serum CA 15-3 level. Immunohistochemistry was done for estrogen (ER), progesterone (PR) and Her2/neu receptors expression. Results: The study revealed the details of physiological characteristics of female breast cancer. Mean age was $37.72{\pm}5.99$ and $55.05{\pm}7.28$ years and serum CA 15-3 (MUC1) level was $60.47{\pm}8.59$ and $63.17{\pm}4.58$ U/ml in pre and post-menopause respectively, and both groups of women had sedentary life style. Their receptor status especially of progesterone, estrogen and HER-2/neu were positive in 50% of premenopausal women and 65% of postmenopausal women. Conclusion: There are multiple physiological factors promoting breast cancer. High serum CA 15-3 level and hormonal imbalance of ER, PR and Her2/neu appears to be the main cause of breast cancer. It may be possible that the functional sites of these proteins may be altered which may increase the chances of metastasis in breast cancer.

Fluid bounding effect on FG cylindrical shell using Hankel's functions of second kind

  • Khaled Mohamed Khedher;Shahzad Ali Chattah;Mohammad Amien Khadimallah;Ikram Ahmad;Muzamal Hussain;Rana Muhammad Akram Muntazir;Mohamed Abdelaziz Salem;Ghulam Murtaza;Faisal Al-Thobiani;Muhammad Naeem Mohsin;Abeera Talib;Abdelouahed Tounsi
    • Advances in nano research
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    • v.16 no.6
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    • pp.565-577
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    • 2024
  • Vibration investigation of fluid-filled functionally graded cylindrical shells with ring supports is studied here. Shell motion equations are framed first order shell theory due to Sander. These equations are partial differential equations which are usually solved by approximate technique. Robust and efficient techniques are favored to get precise results. Employment of the Rayleigh-Ritz procedure gives birth to the shell frequency equation. Use of acoustic wave equation is done to incorporate the sound pressure produced in a fluid. Hankel's functions of second kind designate the fluid influence. Mathematically the integral form of the Langrange energy functional is converted into a set of three partial differential equations. A cylindrical shell is immersed in a fluid which is a non-viscous one. These shells are stiffened by rings in the tangential direction. For isotropic materials, the physical properties are same everywhere where the laminated and functionally graded materials, they vary from point to point. Here the shell material has been taken as functionally graded material. After these, ring supports are located at various positions along the axial direction round the shell circumferential direction. The influence of the ring supports is investigated at various positions. Effect of ring supports with empty and fluid-filled shell is presented using the Rayleigh - Ritz method with simply supported condition. The frequency behavior is investigated with empty and fluid-filled cylindrical shell with ring supports versus circumferential wave number and axial wave number. Also the variations have been plotted against the locations of ring supports for length-to-radius and height-to-radius ratio. Moreover, frequency pattern is found for the various position of ring supports for empty and fluid-filled cylindrical shell. The frequency first increases and gain maximum value in the midway of the shell length and then lowers down. It is found that due to inducting the fluid term frequency result down than that of empty cylinder. It is also exhibited that the effect of frequencies is investigated by varying the surfaces with stainless steel and nickel as a constituent material. To generate the fundamental natural frequencies and for better accuracy and effectiveness, the computer software MATLAB is used.

Insurance-Growth Nexus: Aggregation and Disaggregation

  • ZULFIQAR, Umera;MOHY-UL-DIN, Sajid;ABU-RUMMAN, Ayman;AL-SHRAAH, Ata E.M.;AHMED, Israr
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.665-675
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    • 2020
  • The aim of this article is to investigate the relationship between insurance and economic growth at aggregate and disaggregate level for the period 1982-2018. Very few studies have been carried out in this field, with contradictory results and using an aggregate data while, according to different authors, an aggregate data might provide spurious results. The author used Ordinary Least Squares Regressions (OLS) and Granger Causality tests to explore the strength and direction of the relationship between insurance and economic growth at an aggregate level. To check the relationship at disaggregate level life insurance, marine insurance, and property insurance are regressed on trade openness and investment, respectively. Non-life insurance at an aggregate level plays a positive and significant role in promoting economic growth, but life insurance has an insignificant impact on the Pakistan economy. On the other hand, non-life insurances at a disaggregated level such as marine insurance negatively affect a vital part of economic growth, i.e., trade. At the same time, property insurance has a significant and positive role in boosting investment. Life, marine, and property insurance Granger cause economic growth, trade, and investment in a single direction. Nevertheless, is a bi-directional relationship between economic growth and non-life insurance.

Assessment of LMX as Mediator in Procedural Justice - Organizational Citizenship Behavior Relationship

  • Salman, Ahmad
    • East Asian Journal of Business Economics (EAJBE)
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    • v.1 no.1
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    • pp.1-7
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    • 2013
  • Purpose: Organizational justice is not considered as objective variable, but considerably, it is the employee's perceptions about an organization. Since the last four decades, researchers endorsed the significant importance of organizational justice on motivation and work behaviours like turnover intentions, trust, motivation, organizational commitment, job satisfaction, in-role and organizational citizenship behaviour. Accordingly, scant literature is available on procedural justice - organizational citizenship behaviour via mediating role of leader-member exchange (LMX) in higher education context especially in Asian countries like Pakistan. Research Design, Data and Methodology: Cross - sectional study design was used and data was collected from the 452 permanent and contractual teaching faculty serving in different positions at private and public sector degree awarding institutes / universities accredited by Higher Education Commission (HEC) of Pakistan. Mediated regression analysis, as proposed by Baron and Kenny (1986), was employed to address the research hypothesis. Results: Results showed that procedural justice and LMX was positively impacted on OCB and LMX also fully mediates the relationship of procedural justice and organizational citizenship behaviour (OCB). Conclusion: The result indicated that LMX fully mediates the relationship of procedural justice and organizational citizenship behaviour.

Augmenting yogurt quality attributes through hydrocolloidal gums

  • Rafiq, Lubna;Zahoor, Tahir;Sagheer, Ambreen;Khalid, Nazia;Rahman, Ubaid ur;Liaqat, Atif
    • Asian-Australasian Journal of Animal Sciences
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    • v.33 no.2
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    • pp.323-331
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    • 2020
  • Objective: The present work was undertaken to determine the possibility of using xanthan and guar gums as stabilizers to enhance the yogurt quality. Methods: Yogurt was manufactured from standardized milk (3.5% fat, 8.5% solid-not-fat contents) with the addition of 2% to 3% starter culture. Enzyme-hydrolyzed xanthan gum (0.1%, 0.5%, 1.0%) and guar gum (0.1%, 0.5%, 1.0%) were added to the yogurt as stabilizers. Prepared yogurt samples were kept at refrigeration temperature (4℃±2℃) for 21 days and various quality and sensory parameters were studied at regular intervals (7 days). Results: Results showed that yogurt with 0.5% xanthan gum (T5) was best in terms of preventing syneresis and improving the viscosity, water holding capacity and texture of the product. Additionally, adding gums did not adversely affect the sensorial attributes of the product. Conclusion: Modified gums were found useful in augmenting yogurt quality and therefore addition of gums is highly recommended for manufacturing yogurt.

Frequency of Delayed Diagnosis of Oral Squamous Cell Carcinoma in Pakistan

  • Naseer, Rabia;Naz, Iram;Mahmood, Muhammad Khurram
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.11
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    • pp.5037-5040
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    • 2016
  • Objectives: To determine the frequency of delayed diagnosis of oral squamous cell carcinoma in our setup; highlighting factors responsible for any delay and their possible relevance to demographic and diagnostic features. Methods: This cross sectional study of six months duration was conducted in the Oral and Maxillofacial Surgery Department of the Armed Forces Institute of Dentistry, Rawalpindi, Pakistan. A total of 246 patients, both male and female, having a biopsy proven definitive diagnosis of OSCC were included using a consecutive sampling technique. Delay in diagnosis was assessed from the stated period of time from when the patient first noticed symptoms of disease until a definitive diagnosis was made. We concluded delayed diagnosis if this was more than 40 days. Results: The ages of patients ranged from 27 to 60 years with a mean of $46.7{\pm}10.2$ years and a marked male predominance (3.7:1). Delayed diagnosis was observed in 91.5% of cases. However, statistically no significant differences were found with age, gender, marital, education status, household income and time of biopsy. Conclusion: Our primary finding of delayed diagnosis with no prior contact with any health care professional clearly reflects a need of taking urgent measures to avoid serious impacts on morbidity and mortality associated with OSCC.

A Smart Framework for Mobile Botnet Detection Using Static Analysis

  • Anwar, Shahid;Zolkipli, Mohamad Fadli;Mezhuyev, Vitaliy;Inayat, Zakira
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.6
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    • pp.2591-2611
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    • 2020
  • Botnets have become one of the most significant threats to Internet-connected smartphones. A botnet is a combination of infected devices communicating through a command server under the control of botmaster for malicious purposes. Nowadays, the number and variety of botnets attacks have increased drastically, especially on the Android platform. Severe network disruptions through massive coordinated attacks result in large financial and ethical losses. The increase in the number of botnet attacks brings the challenges for detection of harmful software. This study proposes a smart framework for mobile botnet detection using static analysis. This technique combines permissions, activities, broadcast receivers, background services, API and uses the machine-learning algorithm to detect mobile botnets applications. The prototype was implemented and used to validate the performance, accuracy, and scalability of the proposed framework by evaluating 3000 android applications. The obtained results show the proposed framework obtained 98.20% accuracy with a low 0.1140 false-positive rate.