440 research outputs found

    Modeling mechanical properties of low carbon hot rolled steels

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    Steel is the most important material and it has several applications, and positions second to cement in its consumption in the world. The mechanical properties of steels are very important and vary significantly due to heat treatment, mechanical treatment, processing and alloying elements. The relationships between these parameters are complex, and nonlinear in nature. An artificial neural networks (ANN) model has been used for the prediction of mechanical properties of low alloy steels. The input parameters of the model consist of alloy composition (Al, Al soluble, C, Cr, Cu, Mn, Mo, Nb, Ni, P, S, Si, Ti, V and Nitrogen in ppm) and process parameters (coil target temperature, finish rolling temperature) and the outputs are ultimate tensile strength, yield strength, and percentage elongation. The model can be used to calculate properties of low alloy steels as a function of alloy composition and process parameters at new instances. The influence of inputs on properties of steels is simulated using the model. The results are in agreement with existing experimental knowledge. The developed model can be used as a guide for further alloy developmen

    An overview of Engineering Aspects of Solid State Fermentation

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    Solid substrate cultivation (SSC) or solid state fermentation (SSF) is envisioned as a prominent bio conversion technique to transform natural raw materials into a wide variety of chemical as well as bio-chemical products. This process involves the fermentation of solid substrate medium with microorganism in the absence of free flowing water. Recent developments and concerted focus on SSF enabled it to evolve as a potential bio- technology as an alternative to thetraditional chemical synthesis. SSF is being successfully exploited for food production, fuels, enzymes, antibiotics, animal feeds and also for dye degradation. This paper discusses the various micro and macro level engineering problems associated with SSF and some possible solutions for its full commercial realization

    Impact of educational session on knowledge and attitude towards teratogenicity among undergraduate medical students: a comparative study

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    Background: Teratogenicity is a major cause of abortion, still birth and can result in longterm disability with a significant impact on individuals, families, societies and healthcare systems. Drugs being one of the causes of teratogenicity, creating awareness among medical students, the future prescribing physicians, the rate of teratogenicity can be decreased. The objective was to compare the attitude and knowledge about teratogenicity among the medical undergraduates before and after an educational session on teratogenicity.Methods: A pre-validated semi structured questionnaire on attitude and knowledge about teratogenicity was distributed to 2nd year medical students (147) before and after teratogenicity educational session. Results obtained were compared within the group. Paired t test was used for within the group comparison. P-Value <0.05 was considered to be statistically significant.Results: Improvement in knowledge showed statistically significant improvement following teratogenicity educational session (P-Value=0.0003). Improvement was there in post session attitude scores as well, however, it was not significant (P-Value=0.64).Conclusions: Early reinforcement about teratogenicity in medical students enables them to decide appropriate drug therapy while prescribing for females of reproductive age group

    Analysis of wave III of brain stem auditory evoked potential waveforms during microvascular decompression of cranial nerve VII for hemifacial spasm

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    INTRODUCTION:: Intraoperative monitoring of brain stem auditory evoked potential during microvascular decompression (MVD) prevent hearing loss (HL). Previous studies have shown that changes in wave III (wIII) are an early and sensitive sign of auditory nerve injury. OBJECTIVE:: To evaluate the changes of amplitude and latency of wIII of brain stem auditory evoked potential during MVD and its association with postoperative HL. Hearing loss was classified by American Academy of Otolaryngology - Head and Neck Surgery (AAO-HNS) criteria, based on changes in pure tone audiometry and speech discrimination score. METHODS:: Retrospective analysis of wIII in patients who underwent intraoperative monitoring with brain stem auditory evoked potential during MVD was performed. A univariate logistic regression analysis was performed on independent variables amplitude of wIII and latency of wIII at change max and On-Skin, or a final recording at the time of skin closure. A further analysis for the same variables was performed adjusting for the loss of wave. RESULTS:: The latency of wIII was not found to be significantly different between groups I and II. The amplitude of wIII was significantly decreased in the group with HL. Regression analysis did not find any increased odds of HL with changes in the amplitude of wIII. CONCLUSIONS:: Changes in wave III did not increase the odds of HL in patients who underwent brain stem auditory evoked potential s during MVD. This information might be valuable to evaluate the value of wIII as an alarm criterion during MVD to prevent HL. © 2014 by the American Clinical Neurophysiology Society

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    The Importance of Infrastructural Facilities in The University

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    Infrastructure development is a crucial factor that must be taken into consideration in both schools and institutions of higher education. Numerous components make up the broad concept of infrastructure. These consist of things like playgrounds, libraries, labs, computer centers, technology, machinery, tools, and other things. To upgrade the infrastructure, the educational institutions' members must invest money. Infrastructure improvements will enable people to perform their jobs properly and advance educational institutions by enabling people to carry out their job tasks. The staff members of educational institutions must make sure that they continuously upgrade the infrastructure available to them. The main objective of the paper is to study infrastructural facilities in schools. For the research data has been collected with the help of a questionnaire through personal visits to the schools. The outcome of the results will be helpful to the stakeholders and government

    Variation over time of the Du Mortier Calibration algorithm for ground-based spectrometer.

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    Having a stable and steady calibration constants increases the likelihood of a spectrometer to perform as expected over a reasonable period of time. The purpose of this paper is to study the variation over time of the Du Mortier calibration algorithm used in a spectrometer for atmospheric condition measurement. This is carried out over a course of six months and the measurements were taken for every minute intervals from 8.30am to 4.30pm in three locations in Kota Kinabalu. By using the improved Langley method, monthly calibration constants for eight wavelengths were determined for Du Mortier model. Results shows that there were statistically significant differences between mean calibration constants when comparing the selected months. However, if only wavelengths of 460nm, 500nm, 540nm, 580nm and 620nm are taken into account, the results say otherwise
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