Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Ali Partovinia"'
Autor:
Ali Partovinia, Elham Vatankhah
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e15538- (2023)
The presence of cyclic organic compounds, including phenol, in the wastewater of many industries has made phenol removal an important issue. Meanwhile, the biological methods of removing phenol have attracted the attention of researchers in recent ye
Externí odkaz:
https://doaj.org/article/3b822fcfb1cd475186d08a2ee30b6404
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 222, Iss , Pp 112505- (2021)
Recently, slurry phase bioremediation as a simple and economical method is shown to be a successful technique for remediation of clayey soils. Besides, the use of microbial cell immobilization as a promising technique has drawn the attention of some
Externí odkaz:
https://doaj.org/article/f458aa4c95a646ccbd0edcb6e8da6738
Publikováno v:
تحقیقات علوم چوب و کاغذ ایران, Vol 33, Iss 3, Pp 311-322 (2018)
Recycling necessity of different paper and board grades is clear from various points of view which is accompanied with huge value addition, especially in writing and printing papers. Mineral filler applicability and its more usage in papermaking are
Externí odkaz:
https://doaj.org/article/e2fe4256c343473fa621a86e00525e2c
Autor:
Morteza Nazerian, Fateme Naderi, Ali Partovinia, Antonios N. Papadopoulos, Hamed Younesi-Kordkheili
Publikováno v:
Forests, Vol 12, Iss 11, p 1514 (2021)
The present study evaluates and compares predictions on the performance and the approaches of the response surface methodology (RSM) and the artificial neural network (ANN) so to model the bending strength of the polyurethane foam-cored sandwich pane
Externí odkaz:
https://doaj.org/article/68f06268bfd14afa9097249292958b78
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 236:991-1003
The main aim of this study is usability evaluation of different approaches, including response surface methodoloy, adaptive neuro-fuzzy inference system, and artificial neural network models to predict and evaluate the bonding strength of glued lamin
Autor:
Ali Partovinia, Morteza Nazerian, Antonios N. Papadopoulos, Hamed Younesi-Kordkheili, Fateme Naderi
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications. 236:3-22
The aim of this paper was to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) and to predict the flexural strength of the sandwich panels made with thin medium density fiberboard as surface layers, and polyurethane foam as
Publikováno v:
Journal of environmental management. 326
Among the various techniques used to clean up polluted environments, bioremediation is the most cost-effective and eco-friendly option. The diversity of microbial communities in a consortium can significantly affect the biodegradability of hazardous
Publikováno v:
Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. 91:565-574
As most enzymatic biocatalysts are soluble in water, effort for separation of free enzyme from the reaction media is one of the main challenges in industrial application. Therefore, in recent years, enzyme immobilization methods have been drawn atten
Publikováno v:
Biotechnology letters. 44(11)
The release behavior of Lacticaseibacillus rhamnosus from single bilayer microcapsules of alginate-chitosan (AC) and its double bilayer (ACAC) was investigated in simulated gastric fluid (SGF) and simulated intestinal fluid (SIF). Methods Multilayer
Publikováno v:
Journal of Polymer Research. 29