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Home > Frequency and Flux Density Dependent Core Losses in Soft Magnetic Iron-Cobalt Alloys

Frequency and Flux Density Dependent Core Losses in Soft Magnetic Iron-Cobalt Alloys

Thesis Info

Author

Muhammad Arif

Supervisor

Muhammad Farooq Nasir

Program

Mphil

Institute

Riphah International University

Institute Type

Private

City

Islamabad

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Page

vi, 62 .: ill.; 30 cm.+CD

Subject

Technology

Language

English

Other

Submitted in fulfillment of the requirement for the degree of Master in Philosophy in Physics to the Faculty of Basic Sciences & Humanities.; Includes bibliographical references; Thesis (M.Phil)--Riphah International University, 2018; English; Call No: 671.37 ARI

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676711236017

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وچھوڑے دا دکھ

وچھوڑے دا دکھ
(آنحضور قبلہ خواجہ سائیں ملتان شریف ملک خورشید صاحب کے ہاں تشریف لے گئے
راقم کی ڈیوٹی دربار اقدس پر لگائی اس وقت یہ اشعار تحریر میں آئے )

تیرے باہجھوں جگ سارا دسدا ہنیر وے
ماڑی والے خواجہ سائیاں واگاں چھیتی پھیر وے

کلاّ نئیں میں جگ سارا ہویا ہے اداس وے
ہر کہیں نوں ملنے دی لگّی ہوئی پیاس وے

واسطے خدا دے ہن کریں نہ توں دیر وے
تیرے باہجھوں جگ سارا دسدا ہنیر وے

سائیں دے فقیر نت در تیرے آئوندے
دیکھ خالی تھاواں ہُن پچھاں مڑ جائوندے

سبھناں دے دلاں اُتے غماں والے ڈھیر وے
تیرے باہجھوں جگ سارا دسدا ہنیر وے

پیا باہجھوں دل میرا بہو ہے پکار دا
پتہ مینوں لیاء کے دیو کوئی سوہنے یار دا

اللہ جانے دور تھیسیں کدوں ایہہ نکھیر وے
تیرے باہجھوں جگ سارا دسدا ہنیر وے

تیرے بناں لکّھاں ایتھے کسے دی نہ کار وے
ہکناں دے بھاگ بھلے لکّھاں نوں پئے تار دے

در تیرا ایویں ساہنوں جیویں اجمیر وے
تیرے باہجھوں جگ سارا دسدا ہنیر وے

قادری سائیںؔ تیرے شعر ہے بناوندا
سجناں دے باجھوں پیا دل کرلائوندا

شام لنگھ جائے تاہنگاں رکھیاں سویر وے
تیرے باہجھوں جگ سارا دسدا ہنیر وے

A Correlational study of Personality Traits, Self-esteem and Desire for Fame in TikTok Makers

This study was undertaken to (i) identify the relationship among personality traits, self-esteem and desire for fame and (ii) to explore the relationship of personality traits and self-esteem in prediction of desire for fame in TikTok makers. The sample was recruited through the snowball technique and consisted of 200 TikTok makers of Pakistan. The following internationally standardized scales were used: The Big Five Inventory, The Rosenberg Self-esteem Scale (1965) and The Desire for Fame Scale. A significant positive correlation was found between (1) openness, (2) extroversion, (3) agreeableness, (4) conscientiousness, (5) self-esteem and (6) desire for fame. Additionally, neuroticism correlated negatively with the six mentioned variables; and self-esteem significantly predicted desire for fame. Females scored higher in extroversion, agreeableness, conscientiousness and self-esteem; whereas males scored higher in neuroticism. Also, higher levels of self-esteem and desire for fame were found in those who had increased frequency of making TikTok videos and those who belonged to big cities. In conclusion, personality traits, self-esteem and desire for fame significantly correlate with each other in TikTok makers. Researchers, social media activists, students, psychologists, and counselors can benefit from the findings of study.

Global Facility Location: A Hybrid Modeling Approach

The globalization and saturated domestic markets force international firms to gradually expand their businesses across the borders to capture potential markets. Global Facility Location (GFL) is a crucial and irreversible decision for top management of the global business firms, searching for potential countries in global markets. It, therefore, requires a broader analysis of a large number of influencing criteria. There are hardly any GFL studies focusing on the real world uncertainties, future dynamics and interaction of GFL stakeholders. . This work is about establishing a new platform for dynamic analysis of GFL problems by screening out the most critical influencing parameters and establishing an initial pattern of Agent Based Modeling (ABM), an ecological modeling approach which considers all the individual components of a system as interacting agents. Models using conventional approaches are developed which showed the need for developing hybrid approaches particularly due to many limitations associated with conventional modeling (like dynamic priorities and stochasticity etc.).Using a hybrid Fuzzy Analytic Hierarchy Process (F-AHP), the parameters initially explored from literature are prioritized and rankings in terms of objective-functions are calculated for a selected set of countries for Global Cement Plant Location Problem (GCPLP). The results of F-AHP models in terms of screened out parameters and Country Objective Functions (COF’s) are used as inputs to the ABM platform. The investor agent senses the country objective-functions (COF’s) in agent-set of countries and moves for plant installation to one with highest COF value. One of the difficulties in working with ABM’s has been the lack of a structured documenting and validation procedure to transparently record and present the detailed procedural steps of Agent Based Modeling and Simulations. This difficulty can be overcome by adopting one of the latest approaches called TRACE which is a format for TRAnsparent and Comprehensive model “Evaludation” (Evaluation + Validation) of ecological/ABM models. A case of four different cement plant locations are selected and modeled using conventional and hybrid modeling approaches. Routines are coded in respective software of each methodology (e.g. NetLogo®). A real world data from different global databases including the World Bank are used to solve the models. The model solutions are in the form of priority weights calculated for different parameters and the country rankings. However the results of hybrid ABM-GFL are more flexible and comprehensive than other methodologies as it not only considers the mutli-objective nature of the GFL problem but also takes into account the real world ambiguities in data pools and expert opinions and deals with dynamic priorities and stochastic country ratings which are changing over the time span of simulation. The methodology is validated using recommended ABM steps as required in the TRACE format. Moreover statistical tests are also applied to the generated data which not only validate the methodology but also provide more meaningful conclusions. In the end a comparative evaluation of conventional and hybrid methodologies highlights different aspects of the modeling approaches with respect to practical observations and generated results. It has been learnt in this particular study that the factors specifically related to cement industry and the sub-factors of cost are the most sensitive while legal regulations and economic conditions are relatively less critical. The countries having strong lime stone reserves, cheaper fuel costs and good internal marketing positions are, therefore, higher in ranking. Kingdom of Saudi Arabia (KSA) is mostly at the top most position due to its cheaper fuels while China is only marginally lower than KSA because of the lowest initial investment costs. India is also a good competitor mainly because of its stability. Pakistan has strong limestone reserves and a good marketing position. It is noteworthy that results of the hybrid approach are much flexible and more practical than others.