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4篇 您的检索式:作者名="Gyanendra Singh"
    题名 作者 年代 出处 被引量
1Optimizing submerged arc welding using response surface methodology, regression analysis, and genetic algorithm显示文摘The weld quality is significantly affected by the weld parameters(arc voltage, welding current, nozzle to plate distance and welding speed) in the submerged arc welding(SAW). Bead-on-plate welds were performed on stainless steel plates by automated SAW machine. The experimental data were collected in accordance with the response surface methodology(RSM). In addition to RSM, the regression analysis was performed to set up inputeoutput relationships in the SAW process. It was found that weld parameters define the geometry of weld bead and determine the mechanical properties of the joint. The influence of the input variables on weld bead geometry is represented as graphs. It was found that an increment in voltage increases the bead width but decreases the bead height, whereas the current increment result-in an increment in bead height and no change in bead width. The bead width and height decrease with the increment in the welding speed. With an increment in the nozzle-to-plate distance, bead width decrease, but bead height increases. The value of bead hardness increases with the increment in current but the increment in voltage and travel speed does not have a significant influence on the bead hardness. The predictions from the mathematical model developed and the corresponding experimental results are having a fair agreement. Further, the genetic algorithm(GA) is also used for predicting the weld bead geometry.Ajitanshu Vedrtnam Gyanendra Singh Ankit Kumar 2018Defence Technology(防务技术)2018,14,3:7
2Estimation of a mechanisation index and its impact on production and economic factors: A case study in India显示文摘Gyanendra Singh 2006Biosystems Engineering2006,93,1:1
3Estimation of a mechanisation index and its impact on production and economic factors--A case study in India显示文摘Gyanendra Singh 2006Biosystems Engineering2006,93,1:1
4Pharmacological, Ethnomedicinal, and Evidence-Based Comparative Review of Moringa oleifera Lam.(Shigru) and Its Potential Role in the Management of Malnutrition in Tribal Regions of India, Especially Chhattisgarh显示文摘Moringa oleifera Lam.(Shigru)(Moringaceae family) is a traditional medicine used for control of diabetes, obesity, asthma, and cardiac,liver, gastrointestinal, infective, and brain disorders, such as depression and Alzheimer's disease. In Ayurvedic literature, Shigru is among few drugs having Balya(nourishing) as well as Medohara(antiobesity) property. This review focuses on valid connections between the properties documented in ancient literature and current pharmacological knowledge of Moringa, including pharmacological actions, phytochemistry,botanical description, and how Moringa can tackle malnutrition in India, especially Chhattisgarh. All information about M. oleifera was obtained from electronic scientific databases such as PubMed, Web of Science, Scopus, ScienceDirect, Elsevier, Google Scholar, Traditional Knowledge Digital Library, and Indian Traditional Books(Ancient Ayurveda literatures, The Wealth of India, and The Ayurvedic Formulary of India), postgraduate/doctoral thesis, and googling the keyword M. oleifera. M. oleifera have anti-oxidant, antimicrobial, anti-diabetic,anti-obesity, anti-inflammatory, cardioprotective, hepatoprotective, neuroprotective, gastroprotective, wound-healing properties and it can potentially tackle malnutrition. This review describes the key information related to botanical description of M. oleifera, phytochemistry,pharmacological actions, clinical studies, toxicological studies, better utilization as food therapeutics, and ethnobotanical and evidence-based comparative review of M. oleifera. M. oleifera can effectively tackle malnutrition in India, especially Chhattisgarh. The authors emphasize the need for future in-depth ethnopharmacological lead-based research and clinical studies to expand M. oleifera pharmacological activities,clinical efficacy, and safety.Kishor Sonewane Sharda Swaroop Chouhan Mariappan Rajan Nagendra Singh Chauhan Om Prakash Rout Awanish Kumar Gyanendra Singh Baghel Prashant Kumar Gupta 2022World Journal of Traditional Chinese Medicine2022,8,3:0
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