71 research outputs found

    Cognitive Radio and Dynamic Spectrum Access Using Fuzzy Logic

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    Cognitive Radio is artificially intelligent radio. This research paper work presents an application of Cognitive Radio and Dynamic Spectrum Access with the help of fuzzy logic considering the inputs: radio and satellite frequency and outputs: adjust power and modulation. This research paper shows the real approach of comparing the simulation and design algorithm result and its successful use

    Frequency of Hypertension in Ischemic and Hemorrhagic Strokes: A Cross-sectional Study at a Tertiary Care Hospital of Multan, South-Punjab Pakistan

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    Background: Stroke is a global health problem. Stroke is responsible for major disabilities in adult population, and is 2nd leading cause of deaths all over the world. Estimated 15 million people all over the world become victim of stroke every year all over the world, of which 5 million die and other 5 million are left permanently disabled and thus major burden on the sufferer and families as well. Different studies have reported hypertension as major cause of stroke in different populations. Objective: To determine the frequency of hypertension among ischemic stroke and hemorrhagic stroke at a tertiary care hospital. Subjects and Methods: Our study included 246 stroke patients which were recruited from Department of Medicine Nishtar Medical University Hospital Multan. Specific history concerning hypertension was inquired from all patients. Blood pressure of all the patients was measured. Blood pressure levels were measured by researcher using random-zero sphygmomanometers with the subject seated quietly. Two readings of blood pressure were taken and average   of the two readings was noted in the proforma. ECG of all the patients was done and checked for the fulfillness of criteria of left ventricular hypertrophy i.e. Sokolow-Lyon Index, Cornell Voltage Criteria. Results: Our  study included 246 stroke patients, 160 (65%) were male patients and 86 (35%) were female patients. Mean age of our study cases was 59.63 + 11.24 years. Ischemic stroke was observed in 133 (54.1%) of our study cases, while hemorrhagic stroke was noted in 113 (45.9%) of our study cases and 13 (5.3%) had previous history of stroke as well. Smoking was observed in 110 (44.7%) of our study cases and all the smokers were male patients. Alcohol consumption and family history of stroke was zero in our study cases. Of these  246  stroke patients, 148 (60.2%) were known hypertensive and all of them were taking anti-hypertensive medication. Frequency of hypertension in our study was 168 (68.3%) at presentation. Conclusion: Higher frequencies of modifiable risk factors was seen with Hypertension was the leading risk factor of stroke in our study. These findings point towards well directed efforts regarding conventional interventions in our population. Hemorrhagic stroke was significantly associated with elevated blood pressure. Hypertension was significantly associated with increasing age, diabetes, previous history of stroke, hemorrhagic stroke and smoking in stroke patients. Keywords: Stroke, Hypertension, Ischemic, hemorrhagic

    Effect of Social Support on Health Related Quality of Life in Pregnant Women- A Cross-sectional Study at a Tertiary Care Hospital Multan, South-Punjab Pakistan

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    Objective: To explore the relationship between social support and health-related quality of life among pregnant women. Method: This cross-sectional study was conducted at Nishtar Medical University Hospital Multan, Pakistan. The duration of study was from January to March2017. Pregnant women presenting to our hospital were approached for data collection. The chronological age range of the sample was 15-35 years and ages of pregnancy in months were included. Social support of pregnant women was measured through multidimensional scale of perceived social support and health-related quality of life was measured through medical outcomes study questionnaire. Results: Of the 120 participants, 66(55%) were from rural areas, and 54(45%) from the urban areas. Subjects who were in their first trimester of pregnancy were 72(60%), while 25(20.8%) were in their second trimester and 23 (19.2%) in the third. Of the total, 80(66.66%) were educated women and 40 (33.34%) were illiterate. Subjects with a history of physical illness were 76 (63.30%) while 60 (50%) suffered from psychological illness too. There was a significantly positive relationship between social support and health-related quality of life among the pregnant subjects (p<0.05). Conclusion: More social support can increase the health-related quality of life of pregnant women. Keywords: Social support, Health related quality of life, pregnant women

    The mediating role of risk perception among cognitive biases towards decision to start a new venture

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    The Objective of the study is to investigate the relationship of overconfidence bias and illusion of control bias towards the start of new venture, with the mediating role of risk perception in context of Pakistan. To understand the relationship, this study developed and tested hypothesis by correlation and regression analysis. This study's sample consisted of 170 students pursuing a Masters of Business Administration. The students' responses to a survey based on a case study regarding a decision to start a venture were examined. This study found illusion of control and risk perceptions have significant effect on decision to start new venture. Conversely, overconfidence bias has insignificant relationship with decision to start new venture. The positive and negative impact of biases and perceiving low levels of risk suggest the importance of exploring the area of venture formation. As this study has incorporated two biases but many other biases should also be considered that effect human decision making process like self-efficacy, availability heuristics, law of small numbers and escalation of commitment

    An Expert System Technique for Sentiment Analysis of Opinions

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    To help the users and the product owners it is quite necessary to extract aspects from the online reviews, their sentiment polarities, and associations between them. There is a great deal of work done in the field of sentiment analysis. Lexical and learning-based systems can be combined to separate the assessments from online opinions and reviews. In learning-based techniques, the Gaussian mixture model can be used for getting probabilistic results for polarities against aspects and naïve baize classifiers for the problem of spam comments which produced better and competitive results against previous techniques

    Regenerative Medicine in Liver Cirrhosis: Promises and Pitfalls

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    Liver cirrhosis is irreversible and mostly ends up with complete loss of liver function/end‐stage liver failure, and the only proven treatment is liver transplantation. Scarcity of donor, high cost, lifelong immunosuppression, and surgical complications are the major issues associated with liver transplantation and these urge to look for alternate therapeutic approaches. Advancements in the field of regenerative medicine are arising hope for the treatment of liver cirrhosis. This chapter deals with the scope of liver regenerative medicine in the treatment of liver cirrhosis. Review of the literature showed that liver regenerative medicine no doubt holds great promises and added a lot of hope to the cure of liver diseases. Primarily, cell‐based therapies had shown great potential to treat liver cirrhosis. Successful clinical human trials further strengthen their significance in the field. However, recent trends in liver regenerative medicine are focusing on the development of tissue engineering leading to generation of the whole organ. Despite advantages, liver regenerative medicine has several limitations and sometimes been over‐optimistically interpreted. In conclusion, the current scenario advocates to conduct more preclinical and clinical trials to effectively replace liver transplantation with liver regenerative medicine to treat liver diseases

    Factors Underlying the Failure of Organizations: A Focus on Pakistan International Airlines

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    Pakistan International Airlines faces competition with not only international airlines but also with local airlines on the various routes to the Middle East and the Gulf. Due to fierce competition  and  rising  oil  prices, international  aviation  industry regulations and some internal factors such as human resource issues of over recruitment, de-motivated employees, mismanagement of resources both in case of manpower and other resources, aged fleet, corruption and lack of accountability PIA is facing a deep financial crisis. It is losing its market share both in international market and domestic circuit. The present research is done to know about the current situation of PIA and the factors underlying the poor performance of the organization. Nepotism, lack of management, poor service provisions are some of the factors identified through this piece of research which form the backbone of the declining performance of Pakistan International Airlines. Keywords: poor performance, factors, management, competitio

    Wireless E-Nose Sensors to Detect Volatile Organic Gases through Multivariate Analysis

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    Gas sensors are critical components when adhering to health safety and environmental policies in various manufacturing industries, such as the petroleum and oil industry; scent and makeup production; food and beverage manufacturing; chemical engineering; pollution monitoring. In recent times, gas sensors have been introduced to medical diagnostics, bioprocesses, and plant disease diagnosis processes. There could be an adverse impact on human health due to the mixture of various gases (e.g., acetone (A), ethanol (E), propane (P)) that vent out from industrial areas. Therefore, it is important to accurately detect and differentiate such gases. Towards this goal, this paper presents a novel electronic nose (e-nose) detection method to classify various explosive gases. To detect explosive gases, metal oxide semiconductor (MOS) sensors are used as reliable tools to detect such volatile gases. The data received from MOS sensors are processed through a multivariate analysis technique to classify different categories of gases. Multivariate analysis was done using three variants—differential, relative, and fractional analyses—in principal components analysis (PCA). The MOS sensors also have three different designs: loading design, notch design, and Bi design. The proposed MOS sensor-based e-nose accurately detects and classifies three different gases, which indicates the reliability and practicality of the developed system. The developed system enables discrimination of these gases from the mixture. Based on the results from the proposed system, authorities can take preventive measures to deal with these gases to avoid their potential adverse impacts on employee health

    Feasibility and Optimization of Standalone PV/Biogas Hybrid Distributed Renewable System for Rural Electrification: A Case Study of a Cholistan Community

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    Now-a-days, electricity has become the most significant part of human life. For this purpose, renewable energy sources as the emergent sources are introduced in the system. In Pakistan, in spite of having abundant renewable sources and favorable climate conditions, there are some remote areas where the extension of national grid is still absent. In this research paper, one of the remote area of Pakistan, Chak 6-DRB, a village of Cholistan, is considered for the hybrid renewable sources. This research has been implemented on HOMER (Hybrid Optimization Model for Electric and Renewable) software, in which two renewable sources; solar and anaerobic biogas have been implemented in terms of COE (Cost of Energy), NPC (Net Present Cost), costs of different equipment used and then find an optimal size and costs of the system. This HDRP (Hybrid Distributed Renewable Power) system contains anaerobic biogas, and solar system which yield most accurate and inexpensive results and are quite feasible for this remote area. This standalone generation and distribution model is also analyzed through HOMER including sensitivity parameters. In future, this role model of proposed hybrid renewable system would be very effective and helpful for other remote areas of the country for implementatio
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