1,531 research outputs found

    Cardiac Strain as a Universal Biomarker Interpreting theĀ SoundsĀ of Uneasy Heart Muscle Cells

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    The Dynamic Vortex of a Beating Heart Wring Out the Old and Ring in the New!āˆ—

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    Comparison study of machine learning classifiers to detect anomalies

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    In this era of Internet ensuring the confidentiality, authentication and integrity of any resource exchanged over the net is the imperative. Presence of intrusion prevention techniques like strong password, firewalls etc. are not sufficient to monitor such voluminous network traffic as they can be breached easily. Existing signature based detection techniques like antivirus only offers protection against known attacks whose signatures are stored in the database.Thus, the need for real-time detection of aberrations is observed. Existing signature based detection techniques like antivirus only offers protection against known attacks whose signatures are stored in the database. Machine learning classifiers are implemented here to learn how the values of various fields like source bytes, destination bytes etc. in a network packet decides if the packet is compromised or not . Finally the accuracy of their detection is compared to choose the best suited classifier for this purpose. The outcome thus produced may be useful to offer real time detection while exchanging sensitive information such as credit card details

    A study on clinical attachment loss and gingival inflammation as etiologic factors in pathologic tooth migration

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    Background: Several etiologic factors have been listed for pathologic migration of periodontally involved teeth based mainly on clinical observations with scarce scientific evidence. Present study was carried out to find out relationship of clinical attachment loss and gingival inflammation with pathologic tooth migration.Materials and Methods: A total of 37 patients having 50 pairs of migrated and non-migrated contralateral teeth were taken into consideration.Results: Mean total attachment loss per tooth in migrated and non migrated tooth is 13.32 ± 0.74 S.E. and 8.34 ± 0.58 S.E., respectively (P < 0.001), which reveals a positive correlation. There seems to be an association between frequency of migration and severity of attachment loss since highest percentage of migrations were seen in maximum total attachment loss group. Relationship could not be established between severity of attachment loss and severity of migration for which more data may be required. Also, it was seen that gingival index was significantly higher in migrated group.Conclusion: Findings suggest that there exists a direct relationship between pathologic migration and clinical attachment loss as well as gingival inflammation. Clinical relevance: Results emphasize the importance of early treatment of periodontitis to curb inflammation, which seems to be more important since it is completely reversible, and attachment loss also in order to prevent unaesthetic complications. Moreover bleeding along with recent change in position of teeth should be considered as important sign of active, moderate to severe periodontal disease by general dentists and hygienists so that they can refer for specialist consultation

    Prospective study of psychological morbidity and illness perceptions in young people with inflammatory bowel disease

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    Background and Aims: Psychological morbidity is increased in young people with inflammatory bowel disease (IBD). Illness perceptions may be an important factor. This study aimed to describe the prevalence and severity of psychological morbidity and examine relationships between baseline illness perceptions and anxiety, depression and health-related quality of life (HRQoL) at baseline and 12-months later in 16-21-years olds with IBD. Methods: IBD patients (n = 121) completed measures of anxiety, depression, HRQoL, and illness perceptions (IPQ-R) at baseline and follow-up (n = 100, 83%). Results: mong the 121 patients at baseline (median age 19.3 years, 40% female, 62% Crohn's disease, 73% in clinical remission), 55% reported elevated symptoms of anxiety/depression and 83% low HRQoL. Negative illness perceptions at baseline were significantly correlated with greater anxiety, depression and lower HRQoL at baseline and follow-up. In regression analysis at baseline, IPQ-R domain of greater perception of a cyclical nature of IBD was an independent predictor of anxiety, whilst a greater perceived emotional impact of IBD was an independent predictor of anxiety, depression and HRQoL. Female gender and clinical relapse were also independent predictors of lower HRQoL. After controlling for baseline measures, clinical risk factors and illness perceptions did not explain additional variance in psychological morbidity at follow-up. Conclusion: A high prevalence of psychological morbidity, stable over one year, was demonstrated in young people with IBD. Having negative illness perceptions, being female and active disease predicted those at greatest risk of psychological morbidity. Illness perceptions may be an appropriate target for psychological interventions
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