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Impact Estimation of Inflammatory Gene IL_6, TNF-Alpha and ACE on Diabetes and Obesity as Co-Morbidity of CAD

Thesis Info

Access Option

External Link

Author

Muhammad Nadeem

Department

Department of Bioinformatics/Biosciences

Program

MS

Institute

Capital University of Science & Technology

Institute Type

Private

City

Islamabad

Country

Pakistan

Thesis Completing Year

2017

Subject

Bioinformatics/Biosciences

Language

English

Link

https://thesis.cust.edu.pk/UploadedFiles/Muhammad%20Nadeem-MBI153002.pdf

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676709382282

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جگر مراد آبادی

جگر مرادآبادی
حضرت جگر مراد آبادی کاحادثۂ وفات جو ۹ستمبر کی صبح کوگونڈہ میں ستربرس کی عمر میں پیش آیا،اردو شعر وسخن کی دنیا کے لیے اس درجہ المناک ہے کہ اس کی تلخی و شدت عرصہ تک محسوس ہوتی رہے گی۔یہی وجہ ہے کہ اُن کا ماتم ہندووپاک میں جیسا ہمہ گیر ہواہے، اقبالؔ مرحوم کے بعد سے آج تک کسی شاعر کاایسا نہیں ہواتھا۔ اردو شاعری کے دور جدیدنے تغزل کے پانچ عظیم المرتبت مجدد پیدا کیے ہیں: اصغرؔ،حسرتؔ،جگرؔ،فانیؔ اورفراق۔ؔانھوں نے اردو غزل کونیا آہنگ، نیا اسلوب دیا اوراُن تصورات سے اسے پاک وصاف کیاجواب تک روایتی ورثہ کی حیثیت سے چلے آرہے تھے۔اس فہرست میں جگرؔ کانمبر اگرچہ فکر وفن کے اعتبار سے اصغرؔوحسرتؔ کے بعد آتاہے لیکن ہردلعزیزی اورعام مقبولیت میں وہ سب سے بلند اورفائق تھے۔ہرشاعر کاکلام تدریجی ارتقا کی منزلوں سے گزر کرپختگی و پائیداری کے مرتبہ تک پہنچتا ہے جہاں اس کو انفرادیت حاصل ہوتی ہے لیکن بڑے شاعروں کے کلام میں تدیجی ارتقا کی مختلف کڑیوں کامعلوم کرلینا اس قدر آسان نہیں ہوتا جتنا کہ مرحوم کے کلام میں ہے۔المجاز قنطرۃ الحقیقہ کا مقولہ اگر صحیح ہے توحضرت جگرؔ کاکلام اس کی سب سے بڑی روشن دلیل ہے۔یہی وجہ ہے کہ اُن کوشہرت ومقبولیت پہلے عوام میں حاصل ہوئی، پھر طبقۂ خواص میں اُن کے فکر وفن کی عظمت وگیرائی کااعتراف پیداہوا۔اُن کے ابتدائی دور شاعری میں حسن وعشق ِمجازی کے طبعی معاملات اوراُن کے رازونیاز کی حقیقی تصویریں پوری آب وتاب اورعریاں شکل وانداز میں پائی جاتی ہیں،اس لیے ان تصویروں نے حسین ودلکش ترنم کے ساتھ مل کر عوام میں اورخصوصاً نوجوانوں میں ایک قیامت برپاکردی اورہرشخص جگر کے اشعار کا مانا ہوانظر آنے لگا۔لیکن وقت کے امتداد اور شعور وتجربہ کی مختلف آزمائشوں سے گزرنے کے ساتھ مرحوم کے فکر میں حسن کا تصور، مقید سے...

جنات کی حقیقت (اسلامی تعلیمات کی روشنی میں ایک تحقیقی جائزہ)

Some things we can not drive and achieve ethics from wisdom and philosophical thought.  Just as Jinnah (Jinn). Literary word Jinnah (jinn ) is derive from the Arabic alphabet means to hide or  cancel. Thus as their description suggests that  they are invisible physically. Different views has been recorded and reported that these are not a  created being, just a doubt or (whim) but others believe them a creature not a result of any hidden feeling  sense of thought but here sacred jurisprudence (shari’ah) states that they are created one like humans having proper way of  youth and puberty, having domestic life and science suffered towards death lastly human eye can  not see us bound to fulfill the requirement of shari’ah and observed to keep in different sects and tribes persuasion like us. Human and jinnat as power and authority.  Quran proves courtery which we can not ignore. “ I did not create the jinns and human except to worship me”(51/56). Islamic jurisprudence is the best source to prove to existence of jinns with beliefs and thick proof   as Rab e kareem say, s “ Indeed we created man from dried clay of  black smooth mud and we created the jinn before that from the smokeless flame of fire”.(15: 26/27)

Sla-Aware Energy Efficient Resource Management for Cloud Environments

Cloud Computing has emerged as one of the leading computational paradigms in recent times. It provides online services to customers using pay-as-you-go model and enables customers to outsource large and complex tasks to cloud data centers for remote execution and storage. As these large data centers provide basic resources to hosted tasks, they also consume a huge amount of energy, which leads to not only higher operating cost but also a large carbon footprint. Consequently, researchers proposed number of solutions to handle the aforementioned issues, and majority of these solutions are based on resource consolidation approach. Resource consolidation based techniques attempt to place the incoming tasks on minimum possible servers, thereby increasing the resource utilization and decreasing energy consumption. However, in case of fluctuating workloads, which is encountered regularly in cloud computing, aggressive consolidation increases the risks of Service Level Agreement (SLA) violations due to nonavailability of resources. Therefore, the focus of research has shifted towards SLA-aware energy-efficient solutions that attempt to reduce energy consumption and SLA violations simultaneously. In this work, improved resource management solutions are presented that attempt to reduce energy consumption while keeping down the SLA violations at the minimum. This research improved the existing energy-efficient techniques to further enhance their performance while introducing SLA-awareness. In the proposed solutions, lower and upper thresholds are used to identify the under-utilized and overutilized servers, respectively. In this research, five existing techniques are modified, namely; Best Fit Decreasing (BFD), Enhanced-Conscious Task Consolidation (ECTC), Maximum Utilization (MaxUtil), Power and Computing Capacity-Aware BFD (PCABFD), and Energy-aware and Performance per watt Oriented Best Fit (EPOBF). Moreover, the work also presents four novel SLA-aware energy-efficient resource management and workload consolidation techniques, namely; (1) Minimum Energy BFD (MEBFD), (2) Maximum Capacity BFD (MCBFD), (3) Available Capacity and Power (ACP) based technique, and (4) Required Capacity and Power (RCP) based technique. These techniques attempt to reduce energy consumption by using workload consolidation approach, wherein; thresholds are used to keep some of the resources free for handling workload fluctuations to avoid SLA violations. Moreover, a Pareto-Efficient Technique (PET) is proposed that explores the solution space in two dimensions (energy consumption and SLA violations). Further, a Behavior based Energy and SLA-aware Technique (BEST) is proposed that monitors the behavior of VMs and optimizes VM placement accordingly. In addition to resource allocation techniques, an SLA and Power-Aware VM (SPAVM) migration technique is proposed that does not migrate the VM instantly. Instead, SPAVM waits for a given period of time, and the VM is migrated to another server only if during that period VM resource demand doesn’t lower further. Alternatively, if the demand lowers then the VM is not migrated. Consequently, along with the number of migrations, power consumed on VM migrations is also reduced and SLA violations are dealt with by using the thresholds. In addition, this research presents two dynamic threshold mechanisms: (1) Exponential Smoothing based Threshold (EST) mechanism and (2) Moving Average based Threshold (MAT). Formal modeling and verification of the proposed techniques using Petri nets have been conducted. The extensive evaluation process is followed to analyze the performance of proposed techniques. Experimental results indicate that the proposed techniques improve both the energy efficiency and SLA-awareness as compared to recent techniques in literature. Techniques presented in this thesis can be used by the IT companies that have large data centers to process user''s data and tasks. The proposed solutions can help large cloud service providers in reducing energy expenditure while avoiding SLA violations leading to an increase in profitability.