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Home > A Retrospective Study of Poultry Diseases Diagnosed in District Chakwal, Pakistan

A Retrospective Study of Poultry Diseases Diagnosed in District Chakwal, Pakistan

Thesis Info

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Author

Saima Parveen

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=240

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676721004245

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Out of total 658 broiler and 184 layer farms with capacity of 4221800 and 1324700 birds, a total of 70 broiler and 30 layer farms with capacity of 44800 and 215983 birds were randomly selected for present study. New Castle Disease, appeared as most prevalent disease with five years mean/average prevalence of 14.90% followed by IBD (11.79%), pullorum disease (11.17%), colibacillosis (8.71%), IB (7.87%), inclusion body hepatitis (7.79%), CRD (7.67%), necrotic enteritis (6.48%), coccidiosis (6.09%), mycotoxicosis 5.43%), fowl cholera (4.74%), infectious coryza (4.41%), fowl typhoid (4.22%), omphalitis (3.71%) and Hydropericardium syndrome (0.05%). New Castle Disease, also appeared as most prevalent disease of layer population with five years mean/average prevalence of 13.91% followed by pullorum disease (8.68%), colibacillosis (8.59%), necrotic enteritis (7.08%), mycotoxicosis (6.81%), fowl cholera (6.39%), IB (6.13%), coccidiosis (6.05%), fowl typhoid (5.06%), inclusion body hepatitis (5%), infectious coryza (4.83%), omphalitis 2.78%, CRD (9.83%) and IBD (5.39%). Seasonal disease distribution pattern of broiler population exhibited highest overall morbidity of 33.54% for monsoon season followed by winter, spring and post-monsoon seasons with overall morbidity of 23.93, 22.12 and 19.73% respectively. Similarly for layer population, highest overall morbidity (27.17%) was recorded during spring season followed by monsoon season (26.29%, post-monsoon season (23.72%) and winter season (22.82%) respectively. In breed wise disease distribution pattern, proportional morbidity for viral, bacterial, parasitic and fungal diseases, with respect to overall disease cases/ overall morbidity was determined separately for broiler and layer breeds. For broilers, highest proportional morbidity (48.68%) was recorded for bacterial diseases followed by viral diseases (40.32%), parasitic diseases (5.80%) and fungal diseases (5.20%). For layers highest proportional morbidity of 52.56% was recorded for bacterial diseases followed by viral diseases (32.93%), fungal diseases (7.39%) and parasitic diseases (7.12%).
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حکیم محمد اسمٰعیل

حکیم محمداسماعیل
حکیم محمداسماعیل صاحب کے انتقال کی خبرسے بڑاصدمہ ہوا،مرحوم نے بڑی تکالیف اٹھائیں،اﷲ تعالیٰ مغفرت فرمائے۔ [اکتوبر ۱۹۶۲ء]

 

مشکل الحدیث کے حل میں ملا علی قاری ؒ کا منہج۔ایک تجزیاتی مطالعہ

The Problematic narration has always been under the special focus of the commentators of Hadith. This important branch of Hadith sciences, in fact, removes all objections that arise on the text of an authentic narration of the Holy Prophet (S.A.W). Mulla Ali Al-qari, being a famous commentator has opted for a comprehensive pattern in solving such problematic narrations in his famous commentar0y on Mishqat Al-masabih named Mirqat Al-mafatih. This article is an effort to explore his style by presenting ten examples from this voluminous commentary. Qari has at first, investigated the authenticity of such narration. He has tried to present the views and interpretations of his predecessor scholars such as Nawavi, Ibne-Hajar, Khattabi, etc. He seems to owe a clear viewpoint about this kind of narration that prophetic sayings after being confirmed and authentic as per principles set in Hadith Sciences, must be interpreted in a way that testifies the sanctity of that narration. This research concludes that problematic narrations have been interpreted by Muslim scholars of every age according to the knowledge they possessed. In this modern age of Science and technology, if any such narration has multi interpretations only one may be preferred which is supported by the available modern research It will surely make non-believers inclined to Islam and its eternal teachings.

Energy Hub Modeling for Accurate Objective Function Minimization

Energy demand is rapidly growing, resulting in rising energy cost, depletion of fossil fuels, energy shortage, environmental concerns and network overloading. All these problems need new and novel ways for redressal. Conventional grids may not address these problems. However, smart energy distribution grids offer solutions such as distributed generators (DGs), demand response (DR) and energy hub (EH) approach. This work focuses on the application of the DGs and the DR equipped EH paradigm, for efficient energy management, in residential and commercial buildings. The EH control functions in two layers. Primary stratum termed as micro EH control resides in customer premises to attain building level stakes such as energy consumption cost and greenhouse gas (GHG) emission minimization. However, utility’s benefit termed as network load deviation, remains unattended. Wide range of load variations may cause network instability and quality issues. Secondary layer termed as utility owned macro energy hub (MEH) control minimizes network load deviation; however, building incentives forfeit. In other words, customer-utility benefits are non-linearly related and cannot be attained simultaneously. Therefore, a strategy has been required to resolve this non-linearity. This thesis proposes bi-level MEH controls for residential and commercial buildings, to simultaneously attain bilateral stakes. Moreover, customer-utility models are developed and analyzed for both sectors. As real-life energy systems function under uncertain conditions, therefore, proposed micro as well as macro EH control modules have also been validated under random solar irradiance as well as unplanned electric and natural gas (NG) network outages. Under these uncertainties, two types of bi-level MEH controls are formulated: 1) risk neutral and 2) risk averse. Former control disregards negative effects of uncertainties; however, later reduces the adverse effects of uncertainties on the performance and the resilience, by incorporating conditional value at risk (CVaR) in the objective function. Proposed linear constrained optimization models have been mapped in flower pollination algorithm (FPA) as it shows superior performance in literature. Obtained results have been compared to the ones presented in literature and found meaningful improvement.