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Home > Impact of Financial Devlopment on Agricultural Productivity in South Asia

Impact of Financial Devlopment on Agricultural Productivity in South Asia

Thesis Info

Author

Marium Farrukh Khan

Supervisor

Muhammad Zakaria

Department

Department of Management Sciences

Program

REC

Institute

COMSATS University Islamabad

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Management Sciences

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676720543630

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ہجر نامہ

ہجر نامہ
ساری رات میں رکھیاں تاہنگاں
دھمی ککڑاں دتیاں بانگاں
ملاں اُٹھ مسیت نوں جاوے
اللہ دا سد پیا سناوے
نیکاں دے ایہہ من نوں بھاوے
بُریاں وجن پیّاں سانگاں

معاشرتی جرائم کے اسباب اور ان کا ممکنہ تدارک اسلامی تعلیمات کی روشنی میں

Today in the world, the human beings are crunch in crimes in developed society or in undeveloped society. As a result the whole world has become insecure and unsafe. A society and nation can perish and drowned due to its cruelty and crimes. The Muslim society is also being victims of such crimes. According to the scholars the basic reason of this issue is illiteracy and get for away from Islamic teachings while fearless from God and from the Day of Judgment, social injustice, instability, destabilization, disunity and dis-integrity, away from knowledge, negative role of media and impatience tolerance are also considered as major factors. The scholars and reformers are suggested to control the crimes through laydown of justice or establishment of Courts and spread of knowledge, bring awareness among the peoples, establishment of educational institutes in a society. In this article it has been point out the major causes of social crimes and their potential remedy in the light of Qur’an and Sunnah.

Insights into Hepatocellular Carcinoma Hcc by Employing Integrative Informatics Approaches

Contemporary approaches targeted towards precision medicine have shown significant achievements in most of the cancers by generating ‘big data’ across a range of high-throughput experimental and analytical podiums, yet significant problems remain. Integrative scrutinization of this data represents one of the greatest bottlenecks in cancer and other diseases. Surmounting this limitation necessitates integrative analysis of multiple layers of molecular information. Cancer represents a growing source and principal cause of morbidity and mortality in the human population, continuing to stymie clinical treatment efforts. Among various cancers, hepatocellular carcinoma (HCC) is now becoming the fastest growing cancer globally, mainly driven by the ageing HCV/HBV population and extremely limited therapies. There is currently considerable imprecision in optimal diagnostic and therapeutic strategies for HCC. The mounting assemblage of high-throughput data available in publicly accessible databases provides valuable source for generating preliminary in-silico data in support of novel conjectures. Bioinformatic initiatives that combine large amounts of cancer data represents an emerging frontier and are likely to play increasingly important roles. Current study endeavored to define an optimal and feasible method in order to gain new insights into HCC. Our comprehensive integrated analyses found seven novel HCC-specific circulating protein biomarkers including HSD11B1, SERPINC1, C8A, ADH6, CYP2A6, MBL2, UPB1, four highly deleterious HCC-associated Single-nucleotide polymorphisms (SNPs) including SCD1 R126S, SCD1 Y218C, BECN1 I403T, LC3B Y113C, seven miRNAs belonging to miR-17-92 cluster (has-miR-17-3p, has-miR-17-5p, has-miR-19b, has-miR-19a, has-miR-18a, has-miR-20a and miR-92) having a significant impact on drug resistance in HCC as well as uncovered new details about the potential Abstract xx role of circular RNA circ-DNMT1 in HCC. The present study well demonstrated that a comprehensive integrative informatics approach can be employed as an efficient screening stratagem to effectively extract worthwhile insights from a massive amount of complex, multidimensional molecular datasets.