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Thesis Info

Author

Asma Munir

Supervisor

Sadia Arshid

Department

Department of Computer Science and Software Engineering

Program

BS

Institute

International Islamic University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Page

93

Subject

Computer Science

Language

English

Other

BS 005.74 ASG

Added

2021-02-17 19:49:13

Modified

2023-01-23 22:48:13

ARI ID

1676722523691

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مدر ٹریسا

مدرٹریسا
مدر ٹریسا بھی۵/ستمبر۱۹۹۷ء بروزجمعہ کوانتقال کرگئیں۔ان کے انتقال سے عیسائی دنیا کو بڑاگہرا دھچکا لگاہے۔ کہنے کو وہ ایک ہمدرد،غمگسار انسانیت تھیں لیکن ان کی تمام خدمات بباطن عیسائیت کی تبلیغ ونشرواشاعت کی معین تھیں اسی وجہ سے انھیں نوبل انعام سے بھی نوازا گیا اورنوبل انعام انھیں کیوں نہ ملتا جبکہ اس کے دینے والے عیسائی مذہب کے پیروکار ہی ہیں۔ ہم مسلمانوں کے لیے ان کی شخصیت میں جودیکھنے کی بات ہے وہ ہے ایمانداری، شرافت جذبۂ خدمت خلق، قربانی، ایثار ہے۔ اپنے مذہب کی تبلیغ انھوں نے اسی جذبہ وایثار اورقربانی کے ساتھ خدمت خلق کے راستے سے کی جوایک سعی میں شامل ہے۔اپنا بچپن،اپنی جوانی، اپنی رشتہ داری عزیز داری سب کچھ اس ایثار کی تئیں خاتون نے اپنے مذہب کے لیے نچھاور کردیا۔۱۹۱۰ء میں پیدا ہوئی یہ خاتون۱۹۲۸ء میں مکمل طورپر اپنے آپ کو خدمت خلق وانسانیت کے راستے سے اپنے مذہب کے سپرد کرچکی تھی۔ اپنی تمام خواہشات اپنی تمام تمنائیں اس نیک خاتون نے اپنے مذہب کو دے دیں۔یہ بہت بڑا مجاہدہ ہے اس خاتون کا، اپنے مذہب پرسچے دل سے قربانی نے انھیں ہماری طرف سے خراج عقیدت کامستحق بنادیاہے۔
[ستمبر۱۹۹۷ء]

 

Frequency of Cardiovascular Complications in Coronavirus-19 infected Patients during the second wave in a tertiary care Hospital of Lahore, Pakistan Cardiovascular Complications in COVID-19 patients

Coronavirus 2019 (COVID-19) affects the cardiorespiratory systems by causing inflammation of the circulatory systems, hence, causing more cardiac complications in COVID-19 patients Objective: To observe the frequency of cardiac complications in COVID-19 patients during the second wave Methods: 235 COVID-19 patients presenting with cardiac complication to the Cardiology Department of Mayo Hospital, Lahore during 6 month periods of second wave of COVID-19 were included. Data regarding the medical history, age, gender was taken and the observed cardiac complication were noted Results: There were 76.6% male patients and 23.4% female patients. 56.2 % patients were already hypertensive, 37.9% were diabetic, 18.3% had familial history of cardiac diseases. The cardiovascular manifestations observed were, myocardial infarction (57.82%), 7.3% had angina, 21.3% had acute coronary syndrome and 12.3% had non ST elevation myocardial infarction. Conclusions: Our study suggests that there is a prevalence of cardiovascular diseases in COVID-patients which is a major concern as they are at increased risk for severe infection.

Salibase: A Database of Simulated Alignments

Simulated alignments are an alternative of benchmark alignments used to comparing the Multiple Sequence Alignments tools. The true evolutionary history of simulated sequence is most important motivation which is very valuable to generate accurate phylogenetic trees and alignments. Simulated alignments are also used to validate and investigate accuracy of multiple sequence alignments methods. The researcher can generate simulated alignments including varying sequence length, indel size, insertion rate, deletion rate and number of sequences. User may have to reconstruct the large number of simulated alignments using simulated tools which is very cumbersome and time consuming job. It is also required professional training and expertise for generation of such a big data. Currently there is no databank available which may help the researcher to download simulated alignments for their study. Major focus of our study is to develop database of simulated alignments (SAliBASE) with varying parameters including varying insertion rate, varying deletion rate, varying sequence length, varying number of sequences and varying number of indel size. For generation of sequence/alignments specifically we generate a collection of trees and use each as a guided tree in the alignments algorithm. For such big data analysis we will use R software that contains various types of packages (ape, base, boot, class, treesim etc.). We use package Treesim for the generating of phylogenetic Tree. Phylogenetic trees are used to describe the relationship among species and genes. Five types of parameters trees we generated using R in Newick format, which is the standard input tree format for simulated tools. We proposed indel-seq-gen simulated tool for generation of simulated alignments and sequences. As a part of this study comparative study of simulated alignments tools will also be conducted.