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Background: Diabetes increases the risk of disabling disorders including cardiovascular disease, retinopathy, renal failure, and peripheral vascular disease. ICF is the WHO recommended framework for assessing functioning and disability in various health conditions. It measures health and disability at both individual and population levels. The aim of this study is to analyse the impact of diabetes on Capacity and Performance of activities and participation. Material And Methods: This observational study conducted in tertiary care hospital at Ahmednagar consisted of 60 patients with Diabetes recruited through the parent hospital. A questionnaire based on ICF related to Activities of Daily Living was administered on these patients. Capacity and Performance of patients while performing activities was documented as per their perception. Basic demographic data was also collected. Activities included were Fine hand use, Walking, Moving around, Driving, Caring for body parts, Looking after ones health, Preparing meals, Sports, Hobbies, Socializing. Result: The study consisted of 26 females and 34 males. The range of patient's age was from 17years to 85 years. The mean of capacity and performance of patients was calculated of different categories like Fine hand use (C:0.15,P:1.15), Walking(C:0.22,P:1.18), Moving around(C:0.02,P:0.88) and Looking after one's health(0.05,P:0.38). Conclusion: Moderate to severe difficulty during performance as compared to capacity opens a new area of research to explore the causes and taking remedial measures to reduce the gap between capacity and performance. [ABSTRACT FROM AUTHOR]

The information on Internet is increasing massively in amount. From such enormous availability of data, fetching meaningful knowledge in short span of time is too taxing. With this information deluge, need of automatic summarization has increased twofold. Text summarization is an approach of condensing longer texts without altering it's meaning and is classified into Extractive and Abstractive Summarization. Former technique reformulates text by extracting related information and concatenating into final summary similar to copy-paste operations. More emphasis is given on sentence structure that is not sufficient to capture gist of information required. The latter makes use of novel words and connectors in forming summary from the aggregated information. The methods of abstractive summarization are less pertinent and tend to ignore semantics. One of the existing techniques, which have graphical approach towards summarization, is Abstract meaning representation (AMR), which is Standard Knowledge framework but ignores identical sentences. The proposed method will build a rooted labeled graph of sentences, checks the similarity of concepts and improves the existing system resulting in fluent summaries. [ABSTRACT FROM AUTHOR]