39 research outputs found

    Emotion Profiling: Ingredient for Rule based Emotion Recognition Engine

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    Emotions are considered to be the reflection of human thinking and decision-making process which increase his/her performance by producing an intelligent outcome. Hence it is a challenging task to embed the emotional intelligence in machine as well so that it could respond appropriately. However, present human computer interfaces still don2019;t fully utilize emotion feedback to create a more natural environment because the performance of the emotion recognition is still not very robust and reliable and far from real life experience. In this paper, we present an attempt in addressing this aspect and identifying the major challenges in the process. We introduce the concept of 2018;emotion profile2019; to evaluate an individual feature as each feature irrespective of the modality has different capability for differentiating among the various subsets of emotions. To capture the discrimination across target emotions w.r.t. each feature we propose a framework for emotion recognition built around if-then rules using certainty factors to represent uncertainty and unreliability of individual features. This technique appears to be simple and effective for these kind of problems

    Evaluation of native rhizobacteria as promoters of plant growth for increased yield in lentil (Lens culinaris)

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    Six rhizobacterial isolates obtained from lentil rhizospheric soils were characterized and found belonging to genera Bacillus and Pseudomonas. The isolates were evaluated for their plant growth and antagonistic traits. Maximum catechol-type siderophore was produced by B-40 (97μg/ml) and hydroxamate-type siderophore by B-20 (129.5μg/ml). A wide variation in the phosphate-solubilizing efficiency (7.1-34.4 mg/100ml) was observed. Further, all these isolates were able to secrete phytohormone Indole-acetic-acid which ranged from 12.7-106.1μg/ml. On the basis of their PGP traits B-40 and P-1 were selected for field studies. Field experiments were carried out in order to test the effect of dual inoculations (selected PGPRs and Rhizobium sp. along with check strain KB-133) on lentil growth. The system productivity was highest in case of dual inoculations of PGPRs with Rhizobium. The grain yield with dual inoculations of Rhizobium with B-40 (1703 kg/ha) and P-1 (1679 kg/ha) was statistically on par to dual inoculation with KB-133 (1698 kg/ha). These data suggest that B-40 and P-1 can act synergistically with R. leguminosarum in promoting lentil growth

    Comparison of computer simulation and graphical illustration for teaching experimental pharmacology to undergraduate students

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    Background: Nowadays, medical schools all over the world are incorporating newer methods of teaching experimental pharmacology like computer simulation, besides using graphs, charts, didactic lectures. The present study compared the effectiveness and acceptance of two commonly used methods, namely, computer simulation and graphical illustration in teaching experimental pharmacology to undergraduate medical students.Methods: 90 students of 2nd Prof MBBS were divided into 2 groups and were given either computer simulation or graphical illustration via a cross-over design at two settings, which was followed by a post-test for that particular session. Feedback was taken from the students and the faculty. The data obtained was analyzed using descriptive statistics.Results: The average marks scored by the students in sessions using CAL (67.8%) was significantly high (p=0.008) as compared to teaching by graphical illustrations (60.4%). 71% of students found CAL improved their learning skills better than graphical illustrations. 85% students and 80% faculty agreed that there should be a judicious mixture of CAL and graphical illustrations for a better understanding of drugs.Conclusions: CAL is a beneficial and effective learning tool in teaching experimental pharmacology. For better understanding, graphical illustrations should be used as an adjuvant to CAL

    Contextual factors and programme theories associated with implementing blue prescription programmes: a systematic realist review

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    Nature-based social prescribing such as “blue prescription” promotes public health and health improvement of individuals with long-term health conditions. However, there is limited evidence explaining the relationship of contexts, mechanisms, and outcomes of implementing blue prescription programmes (BPPs) in health and social care settings that could inform policy and practice. We conducted a systematic realist review by searching PubMed, Web of Science, PsycInfo, Scopus, MEDLINE, and CINAHL for articles published in English between January 2000 and June 2022 about health and social care professionals providing referral to or prescription of blue space activities (e.g., swimming, fishing, surfing, etc.) with health-related outcomes. Components and descriptions of BPP implementation were extracted and used to develop themes of contextual factors used to develop programme theories and a logic model demonstrating the mechanisms of BPP implementation. Sixteen studies with adequate to strong quality were included from 8,619 records. After participating in BPPs referred to or prescribed by health and social care professionals, service users had improvements in their physical, cognitive (mental), social health, and proenvironmental knowledge. Service user-related contextual factors were referral information, free equipment, transportation, social support, blue space environments, and skills of service providers. Programme-related contextual factors were communication, multistakeholder collaboration, financing, and adequate service providers. Programme theories on service user enrolment, engagement, adherence, communication protocols, and programme sustainability explain the mechanisms of BPP implementation. BPPs could promote health and wellbeing if contextual factors and programme theories associated with service users’ characteristics and programme delivery are considered in the design, delivery, and evaluation of BPPs. Our study was registered with PROSPERO (CRD42020170660)
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