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Study of Stromatolites in the Abbottabad Formation Cambrian Muzaffarabad Area, Azad Kashmir Pakistan

Thesis Info

Author

Shah Mumtaz Muhammad

Department

Deptt. of Earth Sciences, QAU.

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2002

Thesis Completion Status

Completed

Page

59

Subject

Earth Sciences

Language

English

Other

Call No: DISS/M.Phil ES/550

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676718614277

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مولانا فضل الحسن حسرتؔ موہانی

مولانا فضل الحسن حسرتؔ موہانی
شاید جہاں سے حسرتِ دیوانہ چل بسا
ہاں ہاں جب بھی تو چشمِ جنون اشکبار ہے
بالآخر کئی مہینہ کی موت و حیات کی کشمکش کے بعد ہمارے قافلہ آزادی کا پہلا حدی خوان اور میرکاروان بھی کوچ کرگیا اور گلستانِ تغزل کا بلبلِ نغمہ سنج ہمیشہ کے لیے خاموش ہوگیا، یعنی گذشتہ ۱۳؍ مئی کو سیدالاحرار مولانا فضل الحسن حسرت موہانی نے اس دارِ فانی کو الوداع کہا کلُّ مَنْ عَلَیھْاَ فَانٍ ویبقی وجہ رَبِّکَ ذوالجلال وَالاکرام۔[الرحمن:۲۶۔۲۷]
مولانا حسرت کی ذات ستودہ صفات مجموعہ اضداد و کمالات تھی، وہ ملک و وطن کے جانباز مجاہد اور شاعرِ رنگین نوا بھی، انقلابی سوشلسٹ بھی تھے اور صاحبِ و جدوحال صوفی بھی، بوریہ نشینِ فقرومسکنت بھی اور مسندنشینِ غروتمکنت بھی انہوں نے اس زمانہ میں انگریزوں کی مخالفت کی صدا بلند کی ، جب اسکی پاداش دارورسن تھی، اس زمانہ میں آزادی کا صور پھونکا جب کانگریس بھی اس نام سے گھبراتی تھی اور بڑے بڑے محبِ وطن آزادی کے کھلونوں میں الجھے ہوئے تھے، اور اس زمانہ میں قوم و ملک کے لیے قید و بند کی مصیبتیں جھیلیں جب جیل سیاسی تفریح گاہ نہیں بلکہ حقیقۃً قید محن تھے، انہوں نے اس راہ میں جو قربانیاں کیں اور جتنے مصائب اٹھائے اسکی مثال اس زمانہ کے کسی لیڈر کی زندگی میں مشکل ہی سے مل سکتی ہے اور موجودہ مدعیانِ آزادی کو توآزادی کا شعور و احساس بھی نہیں تھا، بلکہ حق یہ ہے کہ گاندھی جی بھی ایک عرصے تک اس راہ میں ان سے بہت پیچھے رہے، حسرت کایہ دعوی اولیت بالکل صحیح ہے۔
تو نے کی حسرت عیاں تہذیبِ رسمِ عاشقی
اس سے پہلے اعتبارِ شانِ رسوائی نہ تھا
وہ اخلاص و صداقت حق گوئی و حق پرستی اور جرات و بے باکی کے جس درجہ پر تھے،...

اسلام کے اخلاقی اور اعتقادی نظام میں ماحولیاتی تحفظ

Just as the prophet  and messenger from Allah Ta’ala direct man towards the creator, it also regulates the relationships of human life and helps him to return to the nature of Allah Ta’ala, which invites man to find goodness, happiness and well-being in creatures. We invite all researchers and intellectuals to know the facts of heavenly laws and religions, especially the teachings of  “Islam”. Since Islam is the essence of all divine religions, it deals with human life in particular and the universe in general and the life of nature around it in great detail, just as Islam focuses on Human beings. In the same way animals, plants and inanimate objects are also looked after otherwise what is the meaning of talking about issues related to tree planting, agriculture, water and other natural environment.  Human distance and ignorance from the role of religions on environmental protection is an important cause of environmental pollution, protection and its elements to restore. The religious teachings and spiritual guidance of all heavenly religious regarding  environmental protection can play an important role in the protection can play an important role in the protection of the environment, so the cause of the  environmental crisis and the invasion of its resources is a departure from spirituality and religious instructions and materialism. For example, those materialistic countries that do not believe in religions are engaged in destroying the ecological elements. Just so that they can get material facilities. They have become involved in wars and conflicts all of which they have been exposed to environmental disasters are which has never been observed by humanity in the history due to which these countries are suffering from environmental crisis on a large scale due to which it has become difficult to live in these countries.

Variance of Maximum Likelihood Estimates for the Hidden Markov Model With Multipartite Graph Structure Transition

This study was conducted with the aim to derive an expression for variance of the maximum likelihood estimators of the hidden Markov model having multipartite graph structure transition. To obtain the estimates of variance, observed information matrix was derived using the Louise (1982) method. This study derived information matrix for the m1 and m2 partition of states which were observed at time 2t ? 1 and 2t respectively. Also, in this study, lower bound for variance of maximum likelihood estimates was derived. The study also defines a parametric bootstrap procedure for computation of variance. To check the validity of derived matrix for maximum likelihood estimates, a numerical example was used to estimate the variance using derived information matrix and compared with the results of parametric bootstrap. For this purpose, a real world data, named, as ”faithful” considered, which is freely available in statistical software R. The data-set have 272 observations on each of two variables i.e. eruption time te and waiting time tw, both measured in minutes. In this study, variable te was considered in one partition of states, which observed at time 2t?1 and variable tw was considered in second partition of states, which observed at time 2t. The study compared estimated variances by observed matrix and parametric bootstrap procedure for different combination of states and sample sizes. The comparison showed a smaller variation in values of maximum likelihood estimates obtained from observed matrix than by bootstrap procedure. In combination of states, both approaches showed almost similar variances. The overall comparison indicates that estimated variance of maximum likelihood estimators by observed matrix seems meaningful i.e. explaining less variation than that obtained from the bootstrap procedure. To study the empirical performance of the derived observed matrix for variance of maximum likelihood estimators, an extensive simulation study of various sample size was conducted. Simulated data were generated for different sizes and variance was calculated by observed matrix.