Search or add a thesis

Advanced Search (Beta)
Home > Synthsis, Characterization and Fabrication of Metal Organic Framework Com Posites for Adsorption and Electrochemical Applications

Synthsis, Characterization and Fabrication of Metal Organic Framework Com Posites for Adsorption and Electrochemical Applications

Thesis Info

Author

Nadeem, Muhammad

Supervisor

Moazzam Hussain Bhatti

Institute

Allama Iqbal Open University

Institute Type

Public

City

Islamabad

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Page

xxvii, 164.

Subject

Chemistry

Language

English

Other

Call No: 543.4 NAS; Publisher: Aiou

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676710544455

Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Similar


Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

اشاریہ سازی کی اولین کاوش

یونیورسٹی آف سیالکوٹ کے شعبہ اردو کو یہ اعزاز حاصل ہے کہ اس میں ایم ایس سطح کے تحقیقی مقالات کے لیے جدید اور متنوع موضوعات پر کام کروایا جا رہا ہے۔ روزینہ یاسمین  نے تحقیقی جرائد " تحصیل " اور "مآخذ"کی اشاریہ سازی کا کام جس محنت اور شوق سے کیا اس کے لیے یہ مبارکباد کی حق دار ہیں۔ طالبہ کی اس اولین کاوش کو تمام اساتذہ کرام نے بھی خوب  سراہا ۔یہ ہماری خوش نصیبی کہ ہمیں اردو ادب کے نامور محقق،نقاد، مصنف ، استاد اور تحقیقی جریدہ "تحصیل" کے مدیرپروفیسرڈاکٹر معین الدین عقیل صاحب کی معاونت اور قیمتی مشورے میسر آئے۔ایسی عظیم شخصیات اردو ادب کا سرمایہ افتخار ہیں ۔ ڈاکٹر صاحب نوجوان محققین کی نہ صرف حوصلہ افزائی کرتے ہیں بلکہ ان کی ہر ممکن کوشش بھی کرتے ہیں۔

تحقیق میں نئے موضوعات پر کام کروانا وقت کی ضرورت ہے۔ جن جامعات نے اشاریہ سازی پر تحقیقی کام کروایا ان میں پنجاب یونیورسٹی(لاہور)، بہاء الدین زکریا یونیورسٹی(ملتان)، جامعہ کراچی (کراچی)، جامعہ پشاور (پشاور)، اسلامیہ یونیورسٹی(بہاول پور)، انٹرنیشنل اسلامک یونیورسٹی (اسلام آباد) ، نمل یونیورسٹی(اسلام آباد)اورعلامہ اقبال اوپن یونیورسٹی (اسلام آباد) وغیرہ کی کاوشیں قابل تحسین  ہیں ۔

اردو تحقیق کو جدید تناظر میں دیکھیں تو اشاریہ سازی کواساسی حیثیت دی جاتی ہے کیونکہ محققین کے لیے سب سے بڑا مسئلہ کم وقت میں مطلوبہ مواد تک رسائی کا ہوتاہے اور اشاریوں کی مدد سے آپ کم وقت اور کم محنت سے آسانی...

Impact Analysis of Higher Education Research Trajectory on Governance and Public Policy: A Case Study of Four Federal Universities of Pakistan

The research situates link between the graduate researches in four academic institutes of Islamabad and analyzes its impact on the public policy. The study explores the relevance of graduate research trajectory followed by various academic departments of four major federal universities in Pakistan in formulation and execution of public policy. The author collected last five years graduate level dissertation titles from four federal universities and classified them by using thematic approach. An interview guide/questionnaire is prepared accordingly. Chairpersons, deans, professors, bureaucrats, and parliamentarians were approached for semi-structured, in-depth interviews. This is a qualitative study using thematic and analytical approach. The research finds a lack of cohesion between the graduate research trajectory and policy needs of the public institutions. The absence of a national research vision and collaborative framework, difference in training cultures of bureaucracy and academia, lack of logistic support system, defective learning strategies, and an overall neglect for social sciences are the major reasons for incoherence. The analytical correlation of the recorded opinions reveals opportunities to maximize the relevance of the academic research in public policy domain

Optimal Experimental Designs for Single and Multiple Beta Responses

Beta regression models are becoming popular in diverse fields of application because these models simultaneously model mean and variance for a variety of data. Optimal designs for these models have got little attention in literature. In this study we focus on the construction of optimal designs for fitting single and multi-response beta regression models for unrestricted and restricted design regions assuming the mean-precision parameterization of beta distribution. The optimality criteria in focus for single response models are the D- and the Ds-criterion, whereas for multi-response models the focus is D- and generalized D-criteria. Considering the form of beta regression model proposed by Ferrari and Cribari-Neto (2004), D-optimal designs are constructed for models involving one and two predictors. A visual approach to guess the locations of design points from mean function plot is suggested and applied. The robustness of constructed designs to parameter misspecification is also addressed. Optimal designs vary both in terms of number and locations of design points and are not always balanced. Ds-optimal designs for precise estimation of parameters of mean sub-model are found to be balanced saturated designs making visual assessment of the design structure easier. The structure of D-optimal designs constructed for models with two predictors varies in consonance with parameter spaces of the respective models. Contrary to single predictor models, use of the Ds-criterion for design construction does not simplify the design structure. Exploiting the general class of beta regression models of Simas et al. (2010), optimal designs are developed for models with one and two predictors. The visual approach is eloquently extended to models with single predictor for assessment of the design structure using plots of mean and precision parameters. Optimal designs for models with single predictor are compared with various standard designs to identify alternative efficient designs. The constructed designs for models with two predictors are compared with equiweighted designs including a two-factor factorial design and a few variants in search for alternatives to optimal designs for practical use. As locally optimal designs are not robust, sequentially constructed designs are presented for single predictor models as their alternative. These designs prove to be efficient regardless of the severity level of parameter misspecification and the size of the experiment. Individually Optimal Design (IOD) and Jointly Optimal Design (JOD) for multi-response beta regression models with single predictor as defined by Souza and Moura (2012a) are studied. The knowledge of shapes of mean functions and information about the structure of IODs is found to be useful in assessing the structure of JODs. When responses are independent D-optimal designs are explored for two- and three-response models. A strategy for using the generalized D-criterion to construct optimal designs for multi-response generalized linear models is suggested and is applied to construct JODs for kresponse beta regression models. Robustness of JODs with respect to varying multi-response models is examined. IODs and JODs are compared with each other and performance of standard designs relative to JODs is also evaluated. Applications of the designs constructed for models under study to real-life problems are given for each class of models.