Aim and Objectives:The aim and objectives of this study are to investigate the various types of stress-inducing factors, most prevalent etiological factor and to determine the correlation between stress and temporomandibular disorders (TMDs) in Dental students in Modinagar, Ghaziabad, Uttar Pradesh.Materials and Methods:A sample of 450 students were selected for the study divided into two groups of undergraduate (UG) and postgraduate (PG) students further subdivided into UG (1st, 2nd, 3rd, and 4th, interns) and PG (1st, 2nd, 3rd year). Study includes clinical evaluation of temporomandibular joint (TMJ) system (TMJ sounds, muscles of mastications, mouth opening, and range of mandibular motion) and questionnaire which covers demographic data (i.e., age, sex, and academic year), TMD symptoms and TMD signs along with standardized scales related to stress dental environmental stress scale and perceived stress scale (PSS).Results:Most of the students included into study are mostly of 21–25 years of age (64.3%), males (52.7%), females 47.3% with more number of UGs (91.4%) predominantly 1st year students (23.9%). Headache was found to be the most prevalent TMD symptom (26.2%) followed by clicking (24.9%), pain on clicking (5.5%), jaw lock (3.4), and difficulty in mouth opening (0.9%). Clicking was found to be the most prevalent TMD sign (24.9%) among dental students followed by deviation (16.3%), muscle tenderness (14.3%), and TMJ pain (5.7%). The most prevalent TMD was disc displacement 22.6% followed by myofascial pain dysfunction syndrome (MPDS) with disc displacement (13.5%) and MPDS (3.8%). TMD was higher in UG females students of 21–-25 years of age group, dental environment stress scale score and PSS score shows statistically significant results.Conclusion:Stress is a significant etiologic factor involved in initiation and maintenance of TMDs in Dental students.
Most scholarly works in the field of computational detection of humour derive their inspiration from the incongruity theory. Incongruity is an indispensable facet in drawing a line between humorous and non-humorous occurrences but is immensely inadequate in shedding light on what actually made the particular occurrence a funny one. Classical theories like Script-based Semantic Theory of Humour and General Verbal Theory of Humour try and achieve this feat to an adequate extent. In this paper we adhere to a more holistic approach towards classification of humour based on these classical theories with a few improvements and revisions. Through experiments based on our linear approach and performed on large data-sets of jokes, we are able to demonstrate the adaptability and show componentizability of our model, and that a host of classification techniques can be used to overcome the challenging problem of distinguishing between various categories and sub-categories of jokes. * * Both authors have contributed equally towards the paper (names in lexicographic sequence).
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