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Investigation of Druggable Genome and Drug Target Identification for Serratia Marcescens Through Computational Studies

Thesis Info

Author

Anum Khalid

Department

National Center for Bioinformatics, QAU

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2015

Thesis Completion Status

Completed

Page

viii,88

Subject

Bioinformatics

Language

English

Other

Call No: Diss / M.Phil / BIO /3986

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676715399112

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4۔معاشرتی اصلاح میں علماء کا کردار

امت محمدیہ ﷺ میں علمائے کرام کا کردار وہی ہے، جو سابقہ امتوں میں انبیائےکرام علیہم السلام کا رہا ہے، اسی بنیاد پر علماء کو انبیاء کے علوم اور منبر کا وارث قرار دیا گیا ہے۔انبیاء کرام علیہم السلام کی بعثت کے بنیادی اور اہم مقاصد میں سے ایک مقصد یہ تھا کہ عالم انسانیت سے ظلم و تشدد کو دور کیا جائے۔ عدل و انصاف کا بول بالا ہو، جس کے نتیجہ میں انسانی معاشرہ، امن و توازن کا مظہر بن سکے۔ یہی حضرت آدم ؑ کی آرزو بھی تھی، جو ﴿وَاِذْ جَعَلْنَا الْبَیْتَ مَثَابَةً لِّلنَّاسِ وَاَمْنًا﴾ 414کی صورت میں پوری ہوئی۔
معاشی فراوانی اور معاشرتی امن حضرت ابراہیم علیہ السلام کی دعا میں شامل تھا۔ رزق کی فراوانی اور امن و امان کا حصول قرآنی تعلیمات کے مطابق خیر و بھلائی کے پھیلاوٴ اور برائی کے خاتمہ اور انسداد کے ذریعہ ممکن ہے، جسےامر بالمعروف اور نہی عن المنکرکہا جاتا ہے ، یہ فریضہ یوں تو اپنے اپنے دائرہ کار میں امت کے ہر فرد پر عائد ہوتاہے اور اسی ذمہ داری کے سپرد ہونے کی بناء پر، امت محمد یہ”خیر امت“ کہلاتی ہے ۔ اس حوالے سے قرآن مجید یوں فرماتا ہے
﴿کُنْتُمْ خَیْرَ اُمَّةٍ اُخْرِجَتْ لِلنَّاسِ… الآیة﴾415
" تم بہترین امت ہو جس کو نکالا گیا ہے لوگو ں کے لیے۔۔۔"
تاہم اس امت کے علماء از روئے حدیث، انبیاء کرام علیہم السلام کے وارث ہیں، اس لیے ان کے فرائض منصبی میں انبیاء کرام علیہم السلام کے کردار کی تبلیغ اور خیر امت کی صحیح اور بر وقت راہنمائی شامل ہے، جسے علماءئےکرام الحمد لله اپنے اپنے دائرہ میں بجا لا رہے ہیں، مگر موجودہ قومی اور بین الاقوامی صورت حال کا شدید تقاضا ہے کہ علماء اصلاح معاشرہ کی انفرادی کو ششوں کے ساتھ ساتھ اجتماعی طور پر بھی اپنے...

Impacts of Psychological and Domestic Violence On Women in Pakistan: Problems & Solutions in the Light of Islamic Teachings

Since the creation of woman, she faces many problems in her life. Different societies have their own customs and traditions. And woman faces problems regarding them. Pakistani society has its own influence and civilization which causes many problems of women. In these traditions, one of the bad behaviors is, marriage of woman on wrong time i.e. Late marriage or early time marriage. In the result, at least, she faces Problems regarding dowry, Joint family system, Family disintegration, Childlessness, Propensity to violence, Effects of husband remaining alone from wife etc. On the basis of social divisions in Pakistani family system and depiction of woman issues having effects on herself, the significant and their mediation is very necessary, too. Many of these problems has Psychological impacts on woman in her domestic life. In Pakistani society where woman faces domestic and family problems, there economic problems too pester her which include greed for riches and lack of them both pester her psychologically. In this paper, above mentioned problems of women in Pakistani society has been discussed in the light of Islamic teachings.

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.