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Water Quality Analysis and Hydrogeological Control on Regional Distribution of Arsenic in Groundwater of Tehsil Mailsi, Punjab

Thesis Info

Author

Atta Rasool

Department

Department of Environmental Sciences, QAU

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2013

Thesis Completion Status

Completed

Page

83 + andx

Subject

Environmental Sciences

Language

English

Other

Call No: DISS/M. Phil BIO 3483

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676715573226

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اسلم عارف

اسلم عارف
اسلم عارف (۱۹۲۷ئ۔۱۹۹۰ئ) پسرور کے ایک نواحی گائوں بن باجوہ میں پیدا ہوئے۔ (۷۳۷) آپ نظم ،غزل اور قطعہ گو شاعر تھے ۔عارف کی شاعری مقامی وملکی سطح کے رسائل وجرائد میں شائع ہوئی ۔ا ن کی شاعری میں روایتی موضوعات کے ساتھ ساتھ جدت بھی پائی جاتی ہے ۔حقیقت پسندی اور رومانیت بھی عارف کی شاعری کے اہم موضوعات ہیں ۔ نمونہ کلام ملاحظہ ہو:
اے حسینہ سنوارلے گیسو

اشک کب تک بہائے گی

قبر کے پھول سوکھ جائیں گے

زندگی لوٹ کر نہ آئے گی
(۷۳۸)

ایک مفلس بندہ مزدور پر روئے گا کون؟
زندگی میں بھی اگرچہ بے سرو سامان تھا
مر کے لیکن رہ گیا اس طرح بے گور کفن
جیسے اس دنیا کا بس یہ آخری انسان تھا (۷۳۹)

موقف محمود سامي البارودي ومحمد إقبال من السياسة: دراسة تحليلية وموازنة

It is obvious to everyone who has associated with Arabic and Urdu literature that both Mahmood Sami al Baroodi and Allma Muhammad Iqbal are the shining stars in the orbit of Arabic and Urdu literature, because each of them made the world busy by his literature, and tied to blow the spirit of innovation in the style of poetry and made free it from affectation and returned it to sincerity and integrity of expression, and each of them  developed his political and cultural thought by traveling to Europe. In this article we have tried to highlight the political and literary life of Iqbal and al Barood, we also tried to analyze their efforts in the field of literature and their stand on the politics

Dna Barcoding of the Ethnobotanically Important Plants of District Dera Ghazi Khan, Punjab

In the present research work, 665 plant specimens belonging to 247 species, 62 families of 27 different orders in 5 major classes of plant kingdom i.e. Mangolopsida (Dicot), Lilipopsida (Mononcot), Pinidae (Gymnosperms), Pteropsida and Bryopsida were collected from different parts of district Dera Ghazi Khan, Punjab, Pakistan. Herbarium sheets with mounted and identified specimens of all the species were deposited in Dr Sultan Ahmad herbarium, GC University, Lahore after posting voucher numbers. The ethnobotanical knowledge on the use of local plants was collected from four hundred pertinent people belonging to all walks of life through their interviews using a semi-structured questionnaire. The plants were found in use by locals as food, feed, medicine, source of fuel and furniture wood, etc. The leaves of the plants were found most frequent in use for treating various ailments, as compared to whole plant or other parts of the plant. Tissue sampling and DNA barcode sequencing was carried out at NIBGE, Faisalabad and Canadian Centre of DNA Barcoding (CCDB), University of Guelph, Canada, respectively. At Family level, 61/62 (98.39%) families were found having at least one sequence of rbcl while no matK sequence in 6/27 (22.22%) orders and 13/62 (19.67%) families. But 49/61(80.33%) families were found to have both rbcl and matK sequences. A total of 1015 barcodes were sequenced, with 630/665 (94.73%) barcodes having rbcl sequences of 235/247 (95.14%) species representing 176 genera and 62 families while 385/665 (57.90%) matK sequences of 185/247 (74.90%) species from 146 genera and 49 families. The data analysis was accomplished on the basis of three criteria; PCR Amplification and Sequencing Success of rbcl and matK; Barcode Gap Analysis (Nearest Neighbor (NN) Analysis) and Neighbor Joining (N/J) Cluster Analysis. PCR and sequencing success were found very high for the rbcl region, i.e. 94.73% (630 / 665 specimens) while matK had the lowest overall rate of recovery, i.e. 57.9% (385 / 665 specimens). The matK showed the highest sequence quality for almost all the recovered samples. Barcode Gap Analysis revealed that 95.22% sequences of matK and 96.63 % of rbcl exhibited no intra-specific variation. The inter-specific divergence varied from 0.0% to 19.06% for rbcl while 0.0% to 4.12% for matK. Out of 105 congeneric species with rbcl sequences, 69/105 (65.71%) were identified while in congeneric species with matK sequences 54/71 species (73.24%) were successfully differentiated. In pair wise divergence across all the species (non-congeneric), both xiv matK and rbcl sequences showed clear boundaries between the 84.21% (96/114) and 70.45% (93/133) of the species, respectively. In Barcode Gap Analysis, matK showed more discriminatory power than rbcl. Among taxa, patterns of sequence divergence was visualized by means of Neighbor-Joining (NJ) cluster on MEGA6. In all three trees of rbcl, matK and rbcl+matK, assignment of families within their respective orders was 83.61% (51/61), 79.59% (39/49) and 83.67% (41/49), respectively. In all three trees of rbcl, matK and rbcl+matK, species were identified on the basis of “Bootstrap Threshold Value” and “Monophyly”. In neighbor trees (N/J) of rbcl, matK and rbcl + matK, the number of monophyletic families were 49/61(80.33%), 40/49 (81.63%) and 40/47 (85.11%), respectively. In neighbor joining (N/J) trees of rbcl, matK and rbcl + matK, the number of monophyletic families were 49/61(80.33%), 40/49 (81.63%) and 40/47 (85.11%), respectively. Therefore, on the basis of monophyletic recovery and node support, all three neighbor joining trees were found best resolved monophyletic trees having more than 80% monophyletic families.