{"title":"Sustainable Building Materials: Latest Production Techniques","authors":"E. Manolova","doi":"10.7546/engsci.lx.23.01.06","DOIUrl":"https://doi.org/10.7546/engsci.lx.23.01.06","url":null,"abstract":"","PeriodicalId":10543,"journal":{"name":"Contemporary engineering sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86439267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Igor Tkachenko, K. Tkachenko, Victoria Miroshnichenko, Boris Drenchev, Y. Miroshnichenko, B. Yanachkov
{"title":"A General Analytic Approachto Analysing Nonstationary Stochastic Processes in Thermodynamic Systems.Part III: The Practical Application of the Approach","authors":"Igor Tkachenko, K. Tkachenko, Victoria Miroshnichenko, Boris Drenchev, Y. Miroshnichenko, B. Yanachkov","doi":"10.7546/engsci.lx.23.01.03","DOIUrl":"https://doi.org/10.7546/engsci.lx.23.01.03","url":null,"abstract":"","PeriodicalId":10543,"journal":{"name":"Contemporary engineering sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83323974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Kolev, Boris Drenchev, R. Krastev, T. Simeonova, B. Yanachkov, Boris Petrov, Nikolai Yachkov, A. Yotov, L. Drenchev, A. Velikov
{"title":"Al-Based Foams Obtainedby Powder Metallurgy Method and TiH2 as Blowing Agent. Part II: Mechanical Properties","authors":"M. Kolev, Boris Drenchev, R. Krastev, T. Simeonova, B. Yanachkov, Boris Petrov, Nikolai Yachkov, A. Yotov, L. Drenchev, A. Velikov","doi":"10.7546/engsci.lx.23.01.04","DOIUrl":"https://doi.org/10.7546/engsci.lx.23.01.04","url":null,"abstract":"","PeriodicalId":10543,"journal":{"name":"Contemporary engineering sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82485418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blockchain for traceability on fruits and vegetables sector","authors":"Luca Peppe, Benedetto Massarella","doi":"10.12988/ces.2023.93002","DOIUrl":"https://doi.org/10.12988/ces.2023.93002","url":null,"abstract":"In 2016, it is estimated that intra-mural R&D expenditure supported by companies, public institutions, private non-profit institutions and universities amounted to 23.2 billion euros (+4.6% compared to 2015). The percentage incidence of intramural R&D expenditure on GDP (Gross Domestic Product), equal to 1.38% in 2016, is slightly up on the previous year (it was 1.34% in 2015). The business sector contributes 60.8%, universities 24.2% and public institutions 12.6% of the total expenditure. Compared to 2015, R&D spending grew by 9.3% for businesses, remained stable in public institutions, while it fell in universities (- 1.0%) and, to an even more marked extent, in private non-profit institutions (-18 .6%). Since 2015, the contribution to total R&D expenditure of nationally controlled enterprises and foreign lenders has increased by 2.1 and 1.5 percentage points respectively; that of public institutions, universities and non-profit organizations is decreasing (-3.5 percentage points in total). The most significant","PeriodicalId":10543,"journal":{"name":"Contemporary engineering sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90438315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A solution of a 3d Cartesian Poisson-Boltzmann equation","authors":"F. Fonseca","doi":"10.12988/ces.2023.93001","DOIUrl":"https://doi.org/10.12988/ces.2023.93001","url":null,"abstract":"We solve the 3d-Cartesian Poisson-Boltzmann equation (PBEq) for a 1 : 1 electric charge configuration, using the tanh, Ricatti functions and Jacobi elliptic solitary wave methods. Also, we apply a deep learning algorithm, specifically, physics-informed neural networks (PINNs), which is implemented in a Python library known as DeepXDE, finding good agreement between the analytical and the PINNs results.","PeriodicalId":10543,"journal":{"name":"Contemporary engineering sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90207542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Luna-Benoso, J.C. J.C. Martinez-Perales, V. Sanchez-Cruz, U. S. Morales-Rodriguez
{"title":"Detection and risk level of COVID 19 through artificial neural networks","authors":"B. Luna-Benoso, J.C. J.C. Martinez-Perales, V. Sanchez-Cruz, U. S. Morales-Rodriguez","doi":"10.12988/ces.2023.93059","DOIUrl":"https://doi.org/10.12988/ces.2023.93059","url":null,"abstract":"Around March 2020","PeriodicalId":10543,"journal":{"name":"Contemporary engineering sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83314177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}