1,536 research outputs found

    Panel: Influencing Culture and Curriculum Via Revolution

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    The goal of this panel session is to introduce audience members to the challenges and successes of significant cultural and curricular change as enacted by awardees in the NSF program Revolutionizing Engineering and Computer Science Departments (RED). This panel will explore how organizations go about the process of cultural investigation and how they embark on culture change, using RED awardees of 2016 as the featured panelists (the second cohort). These teams are engaged in high-risk, high-trust-required activities focused on both the organizational and operational structure of their departments, and on re-envisioning engineering and computer science curricula to create professionals able to solve 21st century problems. A panel session allows the wider community to peek into these projects to see from the inside what\u27s happening, even if only a bit. This paper captures short narratives on different themes of interest, developed by the individual teams and aggregated here as a first glimpse into the operations, challenges, and successes of these projects

    Biotechnology: A way to Control Environmental Pollution by Alternative Lubricants

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    Environmental concerns are gaining lot of interest due to increasing environmental pollution. Pollution is caused from various sources like fuel, lubricants, industrial waste, chemicals, noise etc. One of the major source of pollution is lubricant as it directly affect the environment when it is handled improperly, as lubricants from petroleum based oils have very poor biodegradability and also have high toxicity. Environmental pollution can be controlled by the use of biotechnology in the field of alternative lubricants from different available biomass. The current paper deals with the ways of reducing the environmental pollution by various alternative resources

    An Optimal Preventive Maintenance Strategy for Efficient Operation of Boilers in Industry

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    This paper present optimal preventive maintenance strategy for efficient operation of boilers. Efficient operation of Boiler can be achieved from an optimal preventive maintenance strategy. It would be especially beneficial for those plants that rely on breakdown or run-to-failure maintenance. There are many advantages for having an optimal preventive maintenance strategy. The advantages apply to every kind and size of plant. The law of preventive maintenance strategy is that the higher the value of plant assets and equipment per square foot of plant, the greater will be the return on a preventive maintenance strategy. Keywords: Preventive maintenance, Boiler, Scheduling, Downtime, Cost, Safety

    Evaluation of learning memory activity of Unmad Gaja Kesari Rasa II in Animal Models

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    In recent era there is competition in each and every field, so there is lot of mental stress or mental disorder seen. In modern medicine there are various drugs such as antipsychotic, antiepileptic, mood stabilizer etc. which have certain adverse effect such as drowsiness, dizziness, memory loss etc. But Ayurveda certainly has an answer, there are total 112 formulations mentioned in classical text for physco neurological disorder i.e., Unmad and Apasmar, out of these there are total 25 herbo-mineral formulations and Unmad Gaja Kesari Rasa II (UGK II) is one of them. Present study was done to evaluate Learning memory effect of Unmad Gaja Kesari Rasa II a herbo-mineral compound. Cook’s & widely model was used to evaluate learning memory activity. Total 30 wistar rats were classified into 5 groups each containing 6 rats. Human dose was extrapolated with extrapolating factor 0.018 and drug dose was given to control I and II, standard, test x and 2x group, after that learning and Relearning trails were given and avoidance, escape and no response was observed. It has been established that UGK II (Rasa Kamdhenu i.e.; R.K Unmad Chikitsa/9-12) has effective role in learning and memory activity

    Interviewing Refugee Children: Theory, Policy, and Practice with Traumatized Asylum Seekers

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    For detained children seeking asylum, the Credible Fear Interview (CFI) is highly consequential: those who do not pass are deported to countries in which they fear persecution or torture. We consider whether policies and practices during child CFIs ensure that complete information is elicited in the first instance. We uncover infirmities that prevent some child asylum seekers from fully exercising their rights. Accordingly, we propose reforms across all branches of government to protect minors in CFIs, including updated and better enforced agency guidelines for child interviews, an end to child detention, habeas review, and appointment of counsel

    Evaluation of Anti-epileptic activity of Unmad Gaja Kesari Rasa II in Animal Models

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    Apasmara can be correlated with epilepsy, In Ayurveda, Unmada Gaja Kesari Ras II is advocated in the treatment of Apasmara. Present study was done to evaluate Antiepileptic activity of UGK II a herbo-mineral drug. In Electro shock model total 24 albino mice were classified into 4 groups each group containing 6 mice. Human dose was extrapolated with extrapolating factor 0.0026 & drug dose was given to control, standard, test x and 2x group. The duration of tonic hind limb extension (THLE) and mortality was observed for duration of 15min. The complete inhibition of THLE was considered as positive criteria. In PTZ induce convulsion model total 24 albino mice were classified into 4 groups each group containing 6 mice. Human dose was extrapolated with extrapolating factor 0.0026 and drug dose was given to control, standard, test x and 2x group. The time required for clonic convulsion, incidence and mortality was observed for duration of 30 mins. UGK II at 2 drug dose level proves equally effective to standard drug Phenytoin to abolish THLE. UGK II at 2 drug dose level is effective when compare to control group and Sodium valproate prove effective to reduce onset of time of convulsion when compare to test drug

    A Complete Analysis of Alzheimer's Disease Detection Using Machine Learning Techniques

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    Alzheimer's disease (AD) is a sort of brain condition that leads to the loss of daily functioning. Early diagnosis and classification of Alzheimer's disease remain unexplored due to the rapid progression of Alzheimer's patients and the absence of effective diagnostic instruments. The accurate and efficient identification of Alzheimer's disease is one of the many objectives of researchers seeking to halt or reverse the illness's progression. The primary purpose of this review is to present a comprehensive analysis and evaluation of the most recent research for AD early recognition and classification using the most advanced deep learning technique. The article presents a simplified explanation of system phases including imaging, preprocessing, learning, and classification. It discusses structural, functional, and molecular imaging in Alzheimer's disease. Magnetic resonance imaging (structural and functional) and positron emission tomography are considered modalities. It examines the pre-processing strategies used to improve quality. In addition, the most prevalent deep learning approaches employed in classification will be reviewed. In addition, it will examine various hurdles in the classification and preprocessing of images, as introduced in a few articles, as well as the approaches used to tackle these issues

    Comparison of the conventional CMAC and the D-blade CMAC with the direct laryngoscopes in simulated cervical spine injury—a manikin study

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    AbstractBackgroundCMAC videolaryngoscope has recently been introduced for videoscope guided intubation. The aim of our study was to compare and evaluate the efficacy of the conventional blade and the angulated D blade of the CMAC videolaryngoscope with the direct laryngoscopes in simulated cervical spine injury patients on the airway manikin.Materials and methodsFollowing power analysis, 33 resident doctors were enrolled to perform endotracheal intubation using all the 4 different laryngoscopes namely the Macintosh laryngoscope, McCoy laryngoscope, conventional CMAC videolaryngoscope and the D blade of the CMAC videolaryngoscopes on the airway manikin in simulated cervical spine injury. The demographic variables of the resident doctors were recorded. The outcomes measured included vocal cord visualization (Cormack–Lehane grading), time taken to intubate, number of attempts for successful intubation and optimizing maneuvers required.ResultsThe use of indirect videolaryngoscopes resulted in better glottic visualization in comparison to the direct laryngoscopes (CL-I) in 20/33 (60.6%) in the Macintosh group, 24/33 (72.7%) in McCoy group, 30/33 in (90.9%) in Vlc group and 32/33 (96.9%) in Vld group. The time taken to intubate averaged to 15.54±2.6 in Macintosh group, 18.90±4.47 in McCoy group, 20.21±7.9 in Vlc group and 27.42±9.09 in Vld group. The 1st attempt intubation success rate was 84.8% (Macintosh), 72.7% (McCoy), 90.9% (Vlc) and, 78.7% (Vld).ConclusionsThe overall performance of the conventional CMAC blade proved to be the best when compared with the D-blade CMAC, Macintosh blade and the McCoy blade for intubation in simulated cervical spine patients by anesthesia residents
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