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سانچ کو آنچ نہیں

سانچ کو آنچ نہیں
مالا لکڑ، ٹھاکر پتھر، گنگا جمنا پانی
جب تک دل میں سانچ نہ آوے چاروں وید کہانی
’’ سانچ کو آنچ نہیں‘‘ کا مطلب ہے کہ سچائی میں برکت ہے، سچ بولنے والا خواہ مرد ہو،سچ بولنے والی عورت ہو، سچ بولنے والا بڑا ہو، صداقت اجتماعی صورت میں ہو یا انفرادی طور پر ہو ہمیشہ ایک مسلم معاشرے میں مستحسن گردانی جاتی ہے، سچ بولنے والے افراد معاشرے کے ماتھے کا جھومر ہوتے ہیں۔ سچ سے روگردانی کرنے والے اور کذب بیانی کے عادی افراد ایک صحت مند معاشرے کے قیام میں نہ صرف سدِ سکندری ثابت ہوتے ہیں بلکہ ان کا وجود بے سود اقوام میں ناسور کی شکل میںمتشکل ہوتا ہے۔
اللہ تعالیٰ نے اپنی کتاب لاریب میں ارشاد فرمایا ہے کہ ’’اے ایمان والو! اللہ سے ڈرو اور سچوں( صادقین) کے ساتھ ہو جاؤ‘‘ ، اس سے یہ بات مترشحّ ہورہی ہے کہ صداقت اور سچائی ایک ایسی عظیم صفت ہے جس سے متصف مقدس ہستیوں کی معیت کا حکم جوخودخدائے لم یزل دے رہا ہے۔
جن کے سر پر سایۂ صِدق و صفا ہو جائے گا
راشدؔ راضی آپ ہی ان سے خدا ہو جائے گا
اوراق تاریخ کی ورق گردانی کریں تو یہ بات روز روشن کی طرح عیاں ہے کہ جن لوگوں نے صداقت اور سچائی کا دامن تھامے رکھا وہ میدان ِراست بازی کے شاہسوار بنے۔ دروغ گو،ملعونین اور کاذبین، صادقین کے گھوڑے کے سُموں سے اڑنے والی دھول کو بھی نہ پہنچ سکے، سینے پر صداقت کا تمغہ اور سر پر راست بازی کا تاج رکھنے والے افراد ہی آسمانِ علم و دانش پر آفتاب نصف النہار کی طرح چمکتے ہیں۔
صداقت ایک ایسا وصف ہے کہ جس نے اس زیور سے اپنے آپ کو مزیّن و مرصعّ کیا دین ودنیا میں کامیاب و...

FUNCTIONAL STATUS AMONG PATIENTS WITH STAGE III PARKINSON’S DISEASE

Aims Of Study: The purpose of the study was to assess the functional capabilities of patients with Stage III Parkinson's disease (PD). Functional status of PD patients declines due to impaired postural reflexes and characteristic loss of balance which became evident at Stage III thus activities of daily living (ADLs) are compromised as the severity of the disease increases. Methodology:  Descriptive case series was conducted on stage III PD patients (n=64). Patients with age ranges from 45 to 75 years were recruited and patients with other neurological issues were excluded. They were assessed using a Functional independence measure scale having reliability 0.95. Results: Out of 64 patients, 75% required minimal assistance and 9.4% required supervision while performing the ADLs. Whereas, 81% of patients need 2 hours of personal care assistance according to burden of care. Limitations & Future Implications: Only functional status of PD patient is determined no exercise regime or intervention were incorporated to assess their impact on the PD patient functional activities. Thus, future studies should be carried out to find the correlation between aerobic exercises and their impact on PD patient level of functional independence. Originality: Information added was all taken from databases and reduced to similarity index and was not submitted to any other journal. Conclusion: Stage III Parkinson’s disease patient required minimal level of assistance while performing tasks of daily living. However, majority of these patients required 2 hours of personal care assistance on average per day to compete with daily living.

A Frequent Graph Pattern Mining Approach for Evaluation of Trends in Social Media

Graph mining is a well-established research field and lately it has drawn considerable attention of research communities. It allows to process, analyze, and discover significant knowledge from graph data. Graph mining has been highly motivated by the enormous number of applications. Such applications include Chemoinformatics, Bioinformatics, and societal networks. In graph mining, one of the most challenging tasks is Frequent Subgraph Mining (FSM). FSM has been applied to many domains, such as graphical data management and knowledge discovery, social network analysis, Bioinformatics, and security. In this context, a large number of techniques have been suggested to deal with the graph data. However, FSM approaches are facing some challenges, including enormous numbers of Frequent Subgraph Patterns (FSPs); no suitable mechanism for applying ranking at the appropriate level during the discovery process of the FSPs; extraction of repetitive and duplicate FSPs; user involvement in supplying the support threshold value; large number of subgraph candidate generation; and there exists no specialized scheme to decide the discovered FSPs are optimized patterns as well. Thus, the aim of this research is to make cope with the challenges of enormous FSPs, avoid duplicate discovery of FSPs, use the ranking for the discovered FSPs, and to suggest an optimization strategy to illustrate an association between the frequent and the optimized subgraph patterns. The exploration of this association will further help to decide on the FSPs as optimized FSPs. Therefore, to address the aforementioned challenges a new FSM framework A RAnked Frequent pattern-growth Framework (A-RAFF) is developed. The proposed FSM framework, A-RAFF, provides an efficient answer to these challenges through the initiation of a new ranking measure called FSP-Rank. The proposed ranking measure FSP-Rank, based on the characteristics of the FSPs, effectively reduced the duplicate and enormous FSPs. Moreover, in this study, we have investigated the association between FSPs and optimized subgraph using a Particle Swarm Optimization technique. The effectiveness of the techniques proposed in the dissertation is validated by extensive experimental analysis using different benchmarks, both real and synthetic graph datasets. Finally, our experiments have consistently demonstrated promising empirical results, thus confirming the superiority and practical feasibility of the proposed FSM framework.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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