منشی عطاء اﷲ
افسوس ۲؍ فروری کو دارالمصنفین کے مخلص اور قدیم کارکن منشی عطاء اﷲ صاحب نے داعی اجل کو لبیک کہا، ان کا اصلی وطن کیرانہ ضلع مظفرنگر تھا، ۱۹۱۶ء میں دارالمصنفین میں پریس قائم ہوا تو ان کے بڑے بھائی منشی عبدالحفیظ صاحب مرحوم نے اس کے انصرام کی ذمہ داری قبول کی، ان ہی کے ساتھ یہ بھی اعظم گڑھ آکر شعبۂ طباعت سے وابستہ ہوئے، جب کبرسنی کی وجہ سے ملازمت ترک کرنی چاہی تو سید صباح الدین صاحب مرحوم کا شدید اصرار اس میں مانع ہوا، پھر اپنے سعادت مند فرزند ڈاکٹر محمد نعیم ندوی کے اصرار سے گھر پر آرام کرنا منظور تو کرلیا لیکن ان کا دل دارالمصنفین ہی میں لگا رہتا تھا، اس لیے جب تک قوت رہی برابر دوسرے تیسرے روز یہاں آتے رہے، وہ طبعاً نیک، صلح پسند اور دیندار تھے، اپنی دینداری کی وجہ سے اپنے اکلوتے بیٹے ڈاکٹر محمد نعیم ندوی کو حفظ کرانے کے بعد ندوہ میں داخل کیا، جو فراغت کے بعد دارالمصنفین کے رفیق رہے اور اب ابوظہبی کے محکمۂ شرعیہ سے وابستہ ہیں، منشی عطاء اﷲ صاحب اپنی نیکی، بھلمنساہت اور ملنساری کی وجہ سے شہر میں مقبول تھے، اﷲ ان کی مغفرت فرمائے اور متعلقین کو صبر جمیل عطا فرمائے۔
(ضیاء الدین اصلاحی، فروری ۱۹۹۲ء)
The traditional fiscal decentralization theorem claims that decentralized government can provide the goods and services at local level more efficiently. However, empirically it is still to explore that how fiscal decentralization affects gender parity. This study empirically investigates the impact of fiscal decentralization on gender parity in developing economies of Asia, Armenia, Azerbaijan, Indonesia, Iran, Kazakhstan, Kyrgyz, Mongolia, Myanmar, Thailand and Turkey. The study used dynamic penal da ta technique namely system GMM over the period of 2006-2020. The multidimensionality of fiscal decentralization is captured through three measures of fiscal decentralization i.e. Expenditure decentralization, revenue decentralization and composite decentralization. Further, it also examines the complementarity between fiscal decentralization and control of corruption to increase the gender parity. The results of the analysis show that expenditure decentralization is increasing the gender parity in developing economies of Asia. Additionally, control of corruption is a necessary reform to get the desired fruits of fiscal decentralization. Countries must focus on corruption aspect of local governments in implementing the expenditure, revenue and composite decentralization.
Biological sequence comparison is fundamental in extracting information that is valuable in applications such as protein structure prediction, predicting structural similarity, phylogenic analysis, homology detection, function prediction and discovering evolutionary relationship. Besides biologists, numerous researchers like mathematicians, statistician and even computer scientists attracted largely towards sequence analysis because of its involvement in various important applications. Protein classi cation is one of the major areas of research in recent years. Despite technological advances, classifying proteins accurately is still a big challenge. In this work, werst introduce an ant-inspired data mining approach for protein classi cation problem to investigate the e ectiveness of rulesbased approach. Supervised classi cation mechanism along with data mining concepts establishes compact and e cient rules classifying proteins into its correct family. Towards biological sequence analysis, we propose ASIF, a novel algorithm that consists of an alignment algorithm ASIFALIGN and a mathematical model (dASIF ) quantifying the sequence alignment. The proposed approach is based on intra-residue-distance and a plausible (unbiased) penalty factor. A standard dataset of DNA sequences are tested that produces reliable and robust sequence dissimilarities/similarities. Moreover, the proposed approach is used to construct a phylogenetic tree. Phylogenetic trees constructed by our approach outperform other methods. In addition, the proposed approach is applied to protein secondary structure classi cation problem. A dataset of twelve secondary structures are used to validate the distance matrix for classi cation purpose generated by the new alignment algorithm and a mathematical model. Results produced by the new scoring model are very much encouraging which shows reliability of our approach. Our approach not only provides a solid ground for its applications but also performs the fundamental job of dissimilarities/similarities calculation at a reasonable computational complexity. Results reveal the signi cance of our approach and provide a basis of the proposed model to be adopted for other biological applications such as protein function prediction, homology detection and protein fold recognition problem. I would like to dedicate this thesis to My Father (A strong and gentle soul who taught me to trust in ALLAH, believe in hard work and rest assure for the best of the results), My Mother (late)(For being myrst mentor and a true guide in shape of her beautiful memories and love), My Brothers, Sisters and Family (For supporting and encouraging throughout my studies and research).