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Validation Studies for Methamphetamine by Using Ftir, Gc-M and Uv-Visible Spectroscopy [Ms Chemistry]

Thesis Info

Author

Sameer, Muhammad

Department

UMT. Department of Chemistry

Program

MS

Institute

University of Management and Technology

Institute Type

Private

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Page

64 . CD

Subject

Chemistry

Language

English

Other

; Call No: TP 548.5 SAM-V

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676713705376

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۱۔ دستِ فراخ

دست ِ فراخ

میں وہ تیرگی ہوں

 جس کے واسطے

آسماںکو چیرتے

اک نورِ عظیم سے

دشت کی وسعتیں چمک اٹھیں

پہاڑوں کو چوٹیاں دمک اٹھیں

میں وجہِ قیام ِطویل ہوں

کہ شب بھی رو پڑے

 خدا بھی پکار اٹھے

 بس کیجیے !بس کیجیے

میں وہ خاکِ خوش نصیب ہوں

جس پہ تحائفِ سماوی کا نزول ہے

میں آنسوئوں سے تروہ دعا ہوں

جسے ازل سے اندیشہ ٔ رد نہیں

جو فقط قبول ہے،قبول ہے

 میں وہ غم ِ بختیار ہوں

جسے دلِ اطہر کی پناہ ملی

 وہ راہ نور ہوں

جسے روشن نگاہ ملی

بس اب اتنی ہے آرزو

پاک فضا میں سانس لوں

زمزم میرا مشروب ہو

سایۂ سبز تلے پڑا رہوں

اور جب ہو عالمِ تشنگی

 ساقیِ دو جہاں کے دستِ فراخ سے

وہ جامِ تمنا نصیب ہو

جس کی سدا تمنا رہی

أنموذج مقترح لقيادة مٌديري المدارس التغيير التربوي بسلطنة عُمان في ضوء بعض النماذج المُعاصرة

هدفت الدراسة الحالية إلى وضع أنموذج لقيادة مٌديري المدارس التغيير التربوي بسلطنة عُمان في ضوء بعض النماذج المُعاصرة، واتبعت الدراسة المنهج الوصفي، كما استخدمت نظرية تحليل المضمون في تحليل الوثائق في جمع البيانات والمعلومات. وتوصلت نتائج الدراسة إلى وضع أنموذج لقيادة مٌديري المدارس التغيير التربوي بسلطنة عُمان تكون من سبعة مراحل هي: الإيمان العميق بضرورة التغيير، وتشكيل فريق إدارة التغيير، ونشر ثقافة التغيير، ووضع خطة للتغيير، وتنفيذ التغيير، وتقويم التغيير والاحتفال بالنجاحات، والمٌتابعة والتغذية الراجعة المٌستمرة.

Parallel Numerical Solution of Partial Differential Equations

Simulation of scientific problems is an important aspect of natural and engineering sciences. Simulations demanding higher accuracy or involving larger data sets require higher computing power. Complex mathematical models involving partial differential equations (PDEs) from computational fluid dynamics (CFD) are some examples of these simulations. The conventional serial computers are not able to meet the increasing demand of computation power for such applications and the only rescue is parallel or high-performance computing. This study presents research regarding parallel numerical solution of PDEs. Message Passing Interface (MPI) clusters and Graphic Processor Units (GPUs) being the leading platforms for parallel computing were used for simulation of results. The research begins with the unified analysis of the existing parallel iterative algorithms using MPI. A set of diverse PDEs was solved using the MPI cluster. After getting an insight of iterative methods for MPI platform, the parallel system with shared memory architecture was experimented. The most advent platform in this regard is GPUs having thousands of concurrent running cores along with many Giga bytes (GBs) of memory. 3D Laplace equation was solved using twelve different kernels to exploit the memory hierarchy of GPU and an efficient technique involving surfacing pointer’s capability of GPU was materialized. The GPU kernel exhibiting said features gained a speedup of 70 as compared to serial version of same program running on Intel core i5 processor. The derived technique was further extended to simulate the compressible, high-speed flows modeled by Navier Stokes equations using GPU. Four different structured geometries were modeled; the governing equations were solved using modified RK4 method and TVD scheme was used for shockwave capturing. The derived technique was also used to simulate the flow in micro channel using Lattice Boltzmann Method. The GPU results show a speedup of 23 and 77 as compared with serial variants of codes running on conventional core i5®CPU for both cases respectively. It is evident from obtained results that the performance of CFD and other compute intensive application can be enhanced many folds by using the devised technique involving surface pointers in GPU computation.