Search or add a thesis

Advanced Search (Beta)
Home > Evaluation of Cucurbita Pepo Peel Hepatoprotection Against Cci4 Induced Damage in Rat and Antibacterial Activities

Evaluation of Cucurbita Pepo Peel Hepatoprotection Against Cci4 Induced Damage in Rat and Antibacterial Activities

Thesis Info

Author

Syeda Aysha Sarfraz Rizvi

Department

Department of Biological Sciences, QAU

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2012

Thesis Completion Status

Completed

Page

79

Subject

Biological Sciences

Language

English

Other

Call No: Diss M. Phil / BIO/ 3320

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676718998722

Similar


Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

شہاب الدین دسنوی

آہ! سید شہاب الدین دسنوی!
دارالمصنفین شبلی اکیڈمی میں اس کے معتمد جناب سید شہاب الدین دسنوی کی وفات کی خبر نہایت رنج و افسوس کے ساتھ سنی گئی۔ ۱۰؍ اپریل کو ان کے صاحبزادے جناب امتیاز دسنوی کا یہ تار آیا کہ ’’میرے ابا جان ۳۰؍ مارچ کو انتقال فرماگئے‘‘۔ اناﷲ وانا الیہ راجعون۔ اس کی مزید تصدیق اور تعزیت کے لیے اسی روز ان کے گھر فون کیا گیا۔ اپریل کا معارف عیدالاضحی کی وجہ سے پہلے ہی لکھا اور مرتب کیا جاچکا تھا۔ اس لیے اس میں اس حادثہ فاجعہ کی اطلاع دینے کی بھی گنجائش نہیں تھی۔
وہ ۶؍ جولائی ۱۹۱۳؁ء کو بہار کے مردم خیز گاؤں دسنہ میں پیدا ہوئے، شرفا و سادات کی یہی بستی علامہ شبلیؒ کے بے تکلف دوست شاہ تجمل حسین، ان کے خاص عقیدت مند مولوی عبدالحکیم اور شاگرد رشید مولانا سید سلیمان ندوی کا بھی وطن تھی اور دارالمصنفین کے وابستگان میں مولوی سیدابوظفر ندوی، پروفیسر سید نجیب اشرف ندوی اور جناب سید صباح الدین عبدالرحمن بھی اسی سرزمین کے لعل و گہر تھے۔
سید شہاب الدین دسنوی صاحب کی ابتدائی تعلیم دسنہ کے مدرسہ الاصلاح میں ہوئی، مونگیر سے میٹرک کیا۔ وہاں ان کے والد بزرگوار جناب سید ارادت حسین صاحب سرکاری ملازم تھے، بہار نیشنل کالج پٹنہ سے انٹرمیڈیٹ اور سینٹ زیوئرس کالج کلکتہ سے بی۔ایس۔سی کیا، اس وقت ان کے ماموں سید نجیب اشرف صاحب اسمٰعیل کالج بمبئی میں اردو کے لکچرر تھے، ان کے ایک صاحبزادے کو ٹائیفائڈ ہوگیا تو انہوں نے ان کی تیمارداری کے لیے تار دے کر اپنے بھانجے کو بمبئی بلایا، یہ بمبئی گئے تو پھر وہیں کے ہورہے اور اپنا علم و ہنر اور لیاقت و قابلیت سب اسے نثار کردیا، پہلے انجمن اسلام ہائی اسکول میں ٹیچر پھر اس کے پرنسپل ہوئے اور آٹھ نو برس...

مغرب کا نظریہ ملکیت اور اسلام تقابلی جائزہ

Islam recognizes the right of individual ownership of material things in this world. A person can hold all kinds of Halal material things in his individual possession. However, Islamic Shari'a doesn't allow such a concept of individual ownership which is given in Capitalism and as adopted by Western world. The Western world's concept about individual ownership is very liberal and without any restrictions. While, Islam doesn't give full liberty to any individual but rather instructs them to own and possess Halal material things via legitimate sources, and also instructs the right usage of these material things in the light of Qur'an and Sunnah. The benefit of this Islamic law is that disqualified individuals, such as an insane person or children, have no right on disposing his or her individual property. Similarly, in the eyes of Islam, an individual person is not allowed to dispose his or her property in such a way which causes trouble and inconvenience to others, for example a person cannot dig a well on his own land which causes trouble and inconvenience to others. Islam prohibits such disposing of an individual's property.

Resource Management and Energy Cooperation in Wireless Cellular Networks

Wireless communication has seen exponential growth in the past few decades due to advancements in digital communication technologies resulting in emerging wireless technologies such as LTE-A and WiMAX. Resultantly, wireless communication is becoming the main choice for voice as well as data communication. However, the increasing voice, data and internet services are costing heavy on resources. The consequent resource constraint is driving the technology developers to look for resource optimization solutions in all domains, particularly energy. The future radio access networks (RAN) like 5G will comprise denser and diverse heterogeneous networks (HetNets) of macro, micro, pico and femto BSs. Energy resource management of such networks is of prime concern besides improving throughput, latency and quality of service. This involves improving energy efficiency of all elements such as back haul network, data centers, base stations and mobile terminals. Amongst these, the base station is the most energy hungry entity, consuming as much as 60% of the networks energy. Research is, therefore, focusing component, system and network level energy efficiency improvements by employing schemes such as ''energy cooperation'' between base stations. The number of BS sites, worldwide, are expected to increase to more than 11 million, consuming 98 TWh annually, by year 2020. Consequently, it is resulting in increased GHG emissions since most of the power comes from the fossil fuel based energy sources. Thus, BSs have become a strong candidate for different energy efficient techniques as well as incorporation of renewable energy sources (RES) such as solar panels and wind turbines. Base stations are ideally suited to have renewable sources installed because all four elements of energy generation, transmission, storage and consumption are located at one place. RES are not only feasible for stand-alone or off-grid BS, but also for on-grid BS, especially smart-grid tied. Equipping base stations with renewable energy sources of solar and wind is feasible for areas having good sunshine and windy conditions. By considering the fluctuations xi in the base station load because temporal and spatial variations in traffic, it is possible to have energy cooperation between nodes. A base station having deficient green (harvested) energy is encouraged to borrow it from a neighbor rather than acquire it from GHG emitting sources such as diesel generator. A novel extension of this scheme is designed to combine it with sleep mechanism in networks where lean base stations are put to sleep and their energy and load are distributed in the network. The strategies of energy resource optimization thus incorporated yield positive results in energy cost savings for the network. In this research, initially, a PV array of 7.8 kW and a wind turbine of 7.5 kW peak power has been modeled for Islamabad region, for a BS consuming 2.35 kWh peak energy. It is shown that base stations harvesting renewable energy may have surplus energy that can be shared with other base stations or even sold back to the grid through net metering. Since the energy consumption of a BS is not fixed and fluctuates with the traffic load, the energy produced from renewable energy sources may be more than the energy consumed, especially during off peak hours, opening the venues for energy cooperation between nodes. We consider a cellular network of N macro BSs equipped with energy harvesting systems (solar, wind or both) modeled for site whose weather parameters are known. The network is powered by the conventional grid (Utility), with a diesel generator providing backup power at each BS. We consider a finite horizon time slotted system where the decision to share energy is made for a definite time t (1 ≤ t ≤ T). The key elements of our system model are; solar/wind energy harvesting base stations, a battery bank for energy storage at the base station, inter-connectivity between the base station through grid, smart grid or central controller, for energy transfer, and an energy management unit at the base station running the algorithms. We propose a frame work for traffic aware sustainable and environmental friendly base station operation through energy cooperation (TASEEC) in grid connected green cellular network, where each base station is encouraged to acquire energy from renewable source and all base stations are also connected to the utility grid. The mathematically modeled framework jointly takes care of static and traffic aware load on the BS. In TASEEC, the optimizer always selects economical power source for buying purposes. The frame-work is based on the fact that the base station operators have an agreement on energy cooperation and on cooperation tariff. The main aim is to jointly minimize the operational cost and greenhouse gas emissions. The cost xii includes self-generation cost, cost of energy purchased from other BSs and cost of energy procured from grid. The non-linear problem is linearized by applying McCormick approximation and solved through interior point method. The framework is further extended to a heterogeneous umbrella network with base station on/off switching incorporated in addition to energy cooperation scheme discussed above. The results are shown for individual base stations and the energy cost savings -as a result of proposed energy cooperation strategy - are depicted as a percentage reduction in network’s energy consumption cost.