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Availability of Lithium Ion Batteries from Hybrid and Electric Cars for Second Use: How to Forecast for Germany until 2030 被引量:1
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作者 Enrique Machuca Fabian Steger +2 位作者 Johanna Vogt Katja Brade Hans-Georg Schweiger 《Journal of Electrical Engineering》 2018年第3期129-143,共15页
Due to growing numbers of sold HEV (hybrid electric vehicles), PHEV (plug-in hybrid electric vehicles), and BEV (battery electric vehicles), new market opportunities to reuse or recycle old lithium ion batteries... Due to growing numbers of sold HEV (hybrid electric vehicles), PHEV (plug-in hybrid electric vehicles), and BEV (battery electric vehicles), new market opportunities to reuse or recycle old lithium ion batteries arise. Thus, a forecast of available batteries caused by accidents or from end-of-life vehicles was carried out using a mathematical model. Input data were obtained from an estimate of newly registered hybrid and electric vehicles in Germany from 2010 until 2030, from the accident rate of cars in Germany, and from the average cars’ lifetime. The results indicate that (a) the total amount of available second use batteries in 2030 will be between 130,000 units/year and 500,000 units/year, (b) the highest amount of batteries will be obtained from end-of-life vehicles not from accident vehicles, although most batteries from accident vehicles will be suitable for 2nd use, and (c) the quantity of hybrid, plug-in hybrid, and electric car batteries available for reuse will continue to rise after 2030. 展开更多
关键词 FORECAST model lithium ion batteries second use recycling HEV PHEV BEV.
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In Silico Screening of Potential Drug with Antileishmanial Activty and Validation of their Activity by in Vitro and in Vivo Studies
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作者 Carol V. Mesa Gustavo A. Blandon Diana L. Munoz Carlos E. Muskus Andres F. Florez Rodrigo Ochoa Ivan D. Velez Sara M. Robledo 《Journal of Chemistry and Chemical Engineering》 2015年第6期375-402,共28页
The research on discovery and development of new treatments for cutaneous leishmaniasis has been declared as priority. Using bioinformatics approaches, this study aimed to identify antileishmanial activity in drugs th... The research on discovery and development of new treatments for cutaneous leishmaniasis has been declared as priority. Using bioinformatics approaches, this study aimed to identify antileishmanial activity in drugs that are currently used as anti-inflammatory and wound healing by such anti-Leishmania activity was validated by in vitro and in vivo assays. In silico analysis identified 153 compounds from which 87 were selected by data mining of DrugBank database, 22 and 44 were detected by PASS (http://pass.cribi.unipd.it) and BLAST (http://blast.ncbi.nlm.nih. gov/) alignment, respectively. The majority of identified drugs are used as skin protector, anti-acne, anti-ulcerative (wound healer) or anti-inflammatory and few of them had specific antileishmanial activity. The efficacy as antileishmanial was validated in vitro in 12/23 tested compounds and in all seven compounds that were evaluated in in vivo assays. Notably, this is the first report of antileishmanial activity for adapalene. In conclusion, bioinformatics tools not only can help to reduce time and cost of the drug discovery process but also may increase the chance that candidates identified in silico which have a validated antileishmanial activity by combining different biological properties. 展开更多
关键词 Bioinformatic screening BLAST second uses antileishmanial activity leishmaniasis.
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First release of Mendelian randomisation book in Chinese
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作者 Lanlan Chen Stephen Burgess +1 位作者 Shan Luo Guoyue Lv 《eGastroenterology》 2023年第2期1-1,共1页
We are delighted to announce the release of the first Chinese book on Mendelian randomisation,translated from Mendelian Randomization:Methods for Causal Inference Using Genetic Variants(Second Edition)by Dr Stephen Bu... We are delighted to announce the release of the first Chinese book on Mendelian randomisation,translated from Mendelian Randomization:Methods for Causal Inference Using Genetic Variants(Second Edition)by Dr Stephen Burgess and Professor Simon G Thompson,on 25 September 2023. 展开更多
关键词 mendelian randomization methods causal inference using genetic variants second mendelian randomisationtranslated causal inference genetic variants Mendelian randomization
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