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Correlation Estimates between Carcass Traits of Nili Ravi and Kundhi Buffalo
Get PDFPresent study was designed to estimates the correlation between carcass traits of Nili Ravi and Kundhi buffalo. The data for carcass traits of Nili Ravi and Kundhi buffalo was collected from Seven Star International Meat Processing Company Dhabeji at Thatta. In current study the data of total 100 animals of Kundhi and Nili Ravi breed were selected and divided into A, B, C and D group. In group A and C there were Kundhi and Nili Ravi male whereas, B and D females of both breeds respectively. The data including live body weight, carcass weight, dressing percentage and boneless weight of both breeds Kundhi and Nili Ravi were collected for the estimation of correlation.The results for correlation estimates of different carcass traits indicated that the correlation estimation were found positive and high among Nili Rave breed as compared to Kundhi breed, which shows that an increase in one carcass trait would increase the other carcass traits. It was concluded that Nili Ravi carcass traits are better expressed and produces more beef than Kundhi, while Kundhi male is better in beef production than the Nili Ravi female whereas Kundhi female produces low carcass yield
Effect of Genetic Parameters on Some Growth Performance Traits of Harnai Sheep
Get PDFPresent study was performed to estimates the genetic parameters forsome growth performance traits of Harnai sheep. The data was recorded for the period of 2004-2013 from the Multi-purpose research centre Yetabad, District, Baluchistan. The performance traits including birth, yearling, weaning and fleece weight was recorded for the estimation of genetic parameters. There was no significant difference was observed parity and Ram wise among some growth performance traits of Harnai sheep. While the results for heritability, estimation for birth weight, yearling weight, weaning weight and fleece weight was observed low to medium for some growth performance traits of Harnai sheep. It is concluded that low heritable and correlative traits mainly affected by the management, nutritional and temporary environmental conditions, hence improvement can be achieved through the better selection
Spatial Distribution of Noise Released from Iron and Steel Industry and their Effects on Human Health in the Lahore City, Pakistan
Get PDFThis research investigates the phenomenon of perception of people about industrial noise pollution and its effects on human health. Thirty-six (36) industries were selected for estimation of noise levels and its effects on human health. Concurrently, samples of one hundred and fifty (150) respondents were also taken from nearby residential area, using random sampling method. The key tool of data collection was well-structured questionnaires consisting of twenty-one questions. Chi-Square test was used for examination of data, which illustrated effects of industrial noise on people living in industrial zone. The noise level results indicated that the mean values were exceeding permissible environmental standard used in Pakistan. Majority of respondents (50.6 %) were conscious about the basic reason of noise pollution in study area. Eighty-two percent (82%) people have opinion that old technology was the basic cause for noise pollution. It was shocking to see the results which indicate that 99.8% people are suffering from noise related diseases. This include 81.3% with increase anger, 81.5% with ear ache, 16% with ear discharge, 79.3% with high blood pressure, 78% with depression, 77.3% temporary hearing loss, 9.3% permanent hearing loss. Only 23.3% of people conduct regular hearing test
Variation in Meteorological Parameters Over Pakistan during April 2014
Get PDFIn this study we investigated the meteorological data comprising temperature, dew point, humidity and mean sea level for four major cities of Pakistan (Karachi, Multan, Lahore and Peshawar) on varying latitudes from 25°N to 34°N. These cities are selected to study the variation of coastal, southern, central and northern parts of Pakistan and different variations are observed in ranges i.e difference between lowest and highest values. A clear variation in ranges of meteorological parameters are investigated for these cities to validate this research. This variation in meteorological parameters is because of climate change due to flow of high moisture laden winds from Arabian sea towards Karachi coast in the south. The results obtained regarding dew point temperature, moisture content and atmospheric pressure in the southern city of Karachi represent low values instead of high. As a result, Karachi has different climatic patterns as a coastal city than other areas which are continental in climatic effects
Psychosocial Correlates of Psychological Distress among First Time Pregnant Mothers
Get PDF: Objective: The study investigated the relation of marital relationship and social support with psychological distress in first time pregnant women.Study Design: Correlational design.Setting and Duration: The study was carried out in Lahore, Pakistan, over a period of six months.Subjects and Methods: The sample of the present study includes 100 pregnant first time mothers. Sample of pregnant females was collected from the maternity ward of different hospital located in Lahore. Pregnant females included in sample were falling with the age range of 20-35 years, the minimum duration of their marriage was at least 2 years and minimum qualification was intermediate. Those women were selected who had no history of psychological problem and had never been on any kind of psychiatric/ psychological treatment (psychotropic medication /psychotherapy). The participants completed the Demographic Information sheet, Depression Anxiety and Stress Scale, Relationship assessment Scale and Social Provision Scale. Responses were scored according to the producer given in the manuals.Results: Mean ± SD of age was 26.21 ± 2.8 years. Significant (
Feature Extraction Using Independent Component Analysis Method from Non-Invasive Recordings of Electroencephalography (EEG) Brain Signals
Get PDFElectroencephalography (EEG) is a well known procedure in neuroscience, performed to extract brain signal activity associated with voluntary and involuntary tasks. Scientists and researchers working in neuroscience are involved in the research of brain computer interfacing (BCI) and in improving the existing BCI systems. In BCI, it is possible for a person to control the external devices remotely using brain signals without neurophysical intervention. In the proposed work the new algorithm is introduced to extract the feature from EEG based recorded brain signals. The features are extracted for a specific motoryaction that is raising the right hand. The proposed algorithm is also verified from EEGLAB routines also based on Independent Component Analysis (ICA) method written in MATLAB platform
Impact of Project Complexity and Environmental Factors on Project Success: A Case of Oil and Gas Sector of Pakistan
Get PDFOil and gas industry significantly contribute for economic development of countries enriched with petroleum resources. Mega projects of oil and gas sector usually face many challenges due to environmental issues, high level of risks, huge investments, tight schedules and interdependencies between project activities. Therefore keeping in view, the issues faced by oil and gas sector this study was made to analyze the impact of project complexity and environmental factors on success of oil and gas projects of Pakistan. Based upon hypothetical framework developed for this study, data collection was made from an oil and gas company of Pakistan. After which, data analysis was carried out by using a statistical technique known as structural equation modeling. Project complexity, environmental factors and project success were taken as constructs for model evaluation on AMOS. Analysis of data has concluded that project complexity has negative impact on project success whereas better control over environmental factors enhance the project success rate
Classification Techniques in Machine Learning: Applications and Issues
Get PDFClassification is a data mining (machine learning) technique used to predict group membership for data instances. There are several classification techniques that can be used for classification purpose. In this paper, we present the basic classification techniques. Later we discuss some major types of classification method including Bayesian networks, decision tree induction, k-nearest neighbor classifier and Support Vector Machines (SVM) with their strengths, weaknesses, potential applications and issues with their available solution. The goal of this study is to provide a comprehensive review of different classification techniques in machine learning. This work will be helpful for both academia and new comers in the field of machine learning to further strengthen the basis of classification methods
Effect of Metal Ions, Solvents and Surfactants on the Activity of Protease from Aspergillus niger KIBGE-IB36
Get PDFMetal ions greatly impact on the enzymatic activity, they may form strong interaction by forming coordinate bond with enzyme-substrate at the catalytic site which may activate, inhibit or stabilized the enzyme molecules. In this study, extracellular protease from Aspergillus niger KIBGE-IB36 was precipitated with 40% ammonium sulfate. It was revealed that K+, Ba2+, Na+, Mg2+ Zn2+, Ca2+ boosted the protease activity whereas, Cs+, Mn2+, Cu2+, Ni2+, V2+, Co2+, Hg2+ and Al3+ showed to be inhibitor of protease. Dimethyl sulfoxide (5.0 mM) and methanol (5.0 mM) showed catalytic activity while ethanol at same concentration exhibited inhibitory effect. Protease activity augmented with Tween 80, while SDS, Triton X-100, EDTA and PMSF exhibited inhibitory effect
Abrupt Intensification and Dissipation of Tropical Cyclones in Indian Ocean: A Case Study of Tropical Cyclone Nilofar – 2014
No full textThis study aims to investigate the possible influence of different atmospheric forcing on intensification/dissipation of tropical cyclonic “Nilofar” in Arabian Sea appeared during the last week of October, 2014 which exhibited abrupt intensification and dissipation as well. The cyclone was monitored by the Tropical Cyclone Warning Center (TCWC) of Pakistan Meteorological | department and the Regional Specialized Meteorological Center (RSMC) of Indian Meteorological | department (IMD) continuously, issued warnings and advisories with the help of available synoptic observations, satellite data and numerical models. Almost all the essential ingredients for intensification and tracking of the cyclone were studied and monitored accurately. Although the track forecast of the cyclone remained up to mark; but great errors occurred in intensity forecast. The atmospheric vertical wind shear could not be studied accurately. The intensity of wind shear itself is dependent on both; the local and global atmospheric forcing and climate variables, reoccurring periodically, especially while occurring two or more at the same time. More studies are required for influence of these climate variables while co-occurring at the same time period. This study will help weather forecasters to pay special attention on variation of climate factors affecting the wind shear for proper forecasting of tropical cyclones in the Arabian Sea for the safety of coastal communities along the coast