48 research outputs found

    Self-rating on Self-directed Learning: A Cross- Sectional Survey on a Cohort of Medical Undergraduates from Nepal.

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    Introduction: As medicine is an ever-changing field, it necessitates medical students to develop independent  learning skills for continuous learning process. Self-directed learning (SDL) is a learning strategy where students take the initiative to learn on their own. It is basically an independent study where the students use available resources and learn independently of the subject. Methods: This self-administered questionnaire study assessed five domains of SDL consisting of 60 items. The responses were made on a five-point Likert scale: from 5 = always to 1 = never. The level of self-directed learning was categorized as high, moderate and low if the scoring range was between 221-300, 141-220 or 60-140 respectively. Any student scoring in the range between 221 and 300 was considered an effective self- directed learner. Results: The present study found three out of four the students (74.7%, n=56) were active self-directed learners. However, one out of four students were half-way in becoming self-directed learners. Conclusion: SDL skill is crucial not only for the students but also for the clinicians in a complex learning process for continuous advancement of knowledge in medical profession. The findings of the present study showed that majority of the students were effective self-directed learners. The effectiveness of SDL process can be accomplished if the students are encouraged and motivated during Problem Based Learning (PBL) sessions. Identifying the factors that spark interest amongst the students to learn on their own can be achieved by active feedback sessions

    Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation

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    The power system is expected to evolve rapidly with the increasing deployment of power electronic interface and conditioning systems, microgrids, and hybrid AC/DC grids. Among power electronic systems, back-to-back (BTB) converters can be a powerful interface to integrate microgrids and networked microgrids. To study the integration of such devices into large power systems, a balance between power electronics model fidelity and system-level computational efficiency is critical. In system-level simulations of bulk power systems dominated by synchronous generators, detailed electromagnetic models of back-to-back converters may be unnecessary and also computationally inefficient. This paper focuses on developing a simple phasor model for back-to-back converters that can be easily integrated into powerflow solvers to facilitate large-scale power system simulations. The model is implemented using C++^{++} language and integrated into GridLAB-D, an open source software for distribution systems studies, as a potential new capability. The GridLAB-D phasor domain model is validated against the electromagnetic transient (EMT) simulation of the detailed switching model. Simulation results show that the phasor model successfully captures the dominant dynamics of the converter with significantly shorter simulation elapsed time

    Traditional methods for vegetable and grain storage in Leh district of trans-Himalayan Ladakh

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    Cold, arid and high-altitude regions of Ladakh are exceptionally unique in the world and are characterized by extreme temperature variation, thin atmosphere with high UV radiation and less oxygen availability. Cultivation is not viable in Ladakh during the winter due to sub-zero temperatures, resulting in a severe shortage of fresh vegetables and an unbalanced diet. To combat the scarcity of fresh vegetables during the region's harsh winters, farmers have developed low-cost traditional methods for storing vegetables such as potato, cabbage, onion, radish, carrot, and grains such as wheat and barley that are compatible with the region's ecological and socioeconomic conditions. Indigenous knowledge and techniques are extremely valuable in the daily lives of Ladakh natives. In this study every traditional storage method been investigated from Leh district of U.T Ladakh. Hilly areas suffer various climate issues in the present scenario; thus, it is critical to promote the traditional strategy for sustainable agriculture and food security. This study discusses prevalent storage structures of Ladakh region such as Pang-Nga, Sadong, Tsodbang for keeping vegetables like potato, radish, carrot, cabbage, and grains. Charches, Thingches, and khygches method especially designed for winter storage of onions.

    Simultaneous multi-wavelength observations of the TeV Blazar Mrk 421 during February - March 2003: X-ray and NIR correlated variability

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    In the present paper, we have reported the result of simultaneous multi-wavelength observations of the TeV blazar Mrk 421 during February - March 2003. In this period, we have observed Mrk 421 using Pachmarhi Array of \v{C}erenkov Telescopes (PACT) of Tata Institute of Fundamental Research at Pachmarhi, India. Other simultaneous data were taken from the published literature and public data archives. We have analyzed the high quality X-ray (2-20 keV) observations from the NASA Rossi X-Ray Timing Explorer (RXTE). We have seen a possible correlated variability between X-ray and J band (1.25 μ\mu) near infrared (NIR) wavelength. This is the first case of X-ray and NIR correlated variability in Mrk 421 or any high energy peaked (HBL) blazar. The correlated variability reported here is indicating a similar origin for NIR and X-ray emission. The emission is not affected much by the environment of the surrounding medium around the central engine of the Mrk 421. The observations are consistent with the shock-in-jet model for the emission of radiations.Comment: 11 pages, 5 figures, Accepted for Publication in ChJA

    Democratic Middle Ground in Nepal: A Perspective from the North American Nepali Diaspora

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    The call of our time is to safeguard the accomplishments of the 1990 Peoples Movement, to restore sovereignty to the people, and to work towards the middle ground to resolve the nation\u27s core problems. History teaches us that recognizing, adopting and adhering to the middle path takes much vision and courage. The natural instinct is to stick to one\u27s own interpretation of the world (usually based on narrow self-interest) and to shun ideas and individuals that require a moderation of one\u27s views. However, success in politics and statecraft, more so than in any other area of human affairs, is hinged to the middle ground in a way that ultimately requires friend and foe to migrate sufficiently towards each other so that the peoples\u27 business can move forward and flourish. We urge all political forces in Nepal to recognize that great achievements in the affairs of nations come about when leaders practice the art of compromise. There is no dishonor for Nepal\u27s monarch and political leaders if they follow the path of the likes of Gandhi, Nehru and Mandela.\u2

    The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

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    Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

    Search for the production of single vector-like and excited quarks in the Wt final state in pp collisions at s = 8 s=8 \sqrt{s}=8 TeV with the ATLAS detector

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    Not AvailableBiological informatics’ abbreviated to Bioinformatics, uses a massive number of computational approaches for the analysis, management and storage of vast range of biological data. The number of in-silico approaches is helping in generating and analysing the tuber crop data for the crop production enhancement and disease management by sequence alignment and analysis, drug discovery, gene-pathogen interaction and dynamic simulation. Here, in this article we have given a short glance at the role of bioinformatics in tuber crop improvement as well as given some databases containing specific tuber crops related genomic level information.Not Availabl
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