Synthesis and Properties of (Bi, Cd)-doped CuMn2O4 thin films by sol-gel dip-coating method

The present work is carried out within the framework of a research project launched within the physical engineering laboratory at the University of Tiaret in Algeria. The objective is to optimize the conditions for producing thin films of pure spinel oxides doped with different metallic elements. Thus, in this part, we prepared thin films of pure CuMn2O4 and doped with Bi and Cd at rates of 6 and 9% by the sol-gel Dip-coating method. The materials obtained exhibit acceptable crystallinity, excellent optical transmittance with bandgap energies of between 1.64 eV and 1.9 eV and good electrical conductivity.

Evaluation of geotechnical properties, petrographic characteristics and ultrasonic wave velocity of weak sandstones

Several new settlements have been constructed in the desert areas of Egypt. These new settlements are composed of many new types of problematic formations that creating many geological and engineering challenges. One of the most problematic formations is weak sandstones that are characterized by low mechanical strength and bearing capacity as well as high deformability and fracturing. The physico-mechanical characteristics of these sandstones are the most crucial parameters in design and stability evaluation of any surface and underground engineering structures. The determination of these parameters is complicated, difficult and time consuming as well as is required a great accuracy in sample preparation and testing procedure, and is considered as expensive testing. The objective of this study is analyzing the shallow marine weak sandstones to determine the best and significant correlations of petrographic characteristics and physical engineering index properties that may be useful for estimating unconfined compressive strength (UCS), uniaxial pore volume compressibility (mv), compressional P-wave velocity (Vp) and dynamic constrained modulus (Es). As well as predicting the UCS and mv from compressional P-wave velocity test and estimating the petrographic parameters from the physical engineering index parameters. The present study revealed that the studied samples are high to very high porous sandstones with very low to moderate density, and classified as extremely weak to weak rocks with very high deformability and very low wave velocity. In this study, the physical properties form non-significant linear relations with UCS, Vp, and Es as well as there are moderately strong to strong correlations between P-wave velocity, constrained modulus, unconfined compressive strength and compressibility characteristics. Based on the regression analysis, the dolomite cement and matrix contents, quartz and rock fragments contents, packing density and proximity, sorting, roundness, mean grain size, and grain to cement contact exhibited weak to strong statistical correlations with mechanical properties of the studied sandstones. These relationships revealed that due to the mineralogical, textural, and microstructure variations of the studied recycle origin sandstones, the non-significant to significant relations are resulted. In this study, the backward multiple regression was applied to predict the UCS, mv, Vp and Es of the studied sandstones by selecting some physical and petrographic characteristics which exhibit statistically significant correlations with them. The results of this study were presented in the form of predictive models and equations.

Strategies to Potentiate Paracrine Therapeutic Efficacy of Mesenchymal Stem Cells in Inflammatory Diseases

Mesenchymal stem cells (MSCs) have been developed as cell therapeutics for various immune disorders using their immunoregulatory properties mainly exerted by their paracrine functions. However, variation among cells from different donors, as well as rapid clearance after transplantation have impaired the uniform efficacy of MSCs and limited their application. Recently, several strategies to overcome this limitation have been suggested and proven in pre-clinical settings. Therefore, in this review article, we will update the knowledge on bioengineering strategies to improve the immunomodulatory functions of MSCs, including genetic modification and physical engineering.

JOURNALS OF NAS OF UKRAINE IN PHYSICAL, ENGINEERING AND MATHEMATICAL SCIENCES: MONOPOLIZATION LEVEL

This is the third article in the cycle of publications on the monopolization level of scientific periodicals of National Academy of Sciences of Ukraine. It is devoted to the journals of Section of Physical, Engineering and Mathematical Sciences. The paper finishes the first stage of research aimed at revealing the breadth of the authors’ community of the NAS of Ukraine journals during 2015–2017. As well as in the previous articles of this cycle, the estimation of the authors’ community and its monopolization level is made by the Herfindahl–Hirschman Index calculation. Thus, the quantitative weighted distribution of affiliation is made for each journal. The analysis of the journals of Section of Social Sciences and Humanities and the Section of Chemical and Biological Sciences is made in the articles previously published in the “Herald of the National Academy of Sciences of Ukraine” (2018, No. 9 and 2019, No. 10). It was shown that the chemical and biological journals of NAS of Ukraine have the lowest monopolization level — there are only 23% of middle-monopolized and 27% of low-monopolized ones. Meanwhile, only 19% of journals of the Section of Social Sciences and Humanities have the moderate monopolization level and the rest have the high one. Journals of the Section of Physical, Engineering and Mathematical Sciences are more like chemical and biological ones. They mostly have high monopolization level (54%), however 17% are moderately monopolized and 25% are low-monopolized.

Artificial Neural Network based Applications in Mechanical Engineering

Search of sheet metal components along with physical items calls for a good deal of expertise in addition to creating expertise on the part of designers. Lately, different Artificial Intelligence (AI) methods now are being used in sheet metallic labor to minimize complexity; take lower the dependency on male, time and also expertise ingested physical appearance of pieces and expires and additionally to enhance one success. Artificial Neural Network (ANN) method is by using the most effective materials for fixing engineering layout issues and minimizing errors to drop with experimental information within actual physical engineering. This specific investigate documents particulars a substantial comment of applications of ANN strategy to sheet metallic perform how about hand-operated engineering apps. Major printed analysis do inside the domain name of bodily engineering is really summarized. In line with the vital comment of accessible literature, a lot more analysis range is really determined. The present literature analysis uncovers that there's stern need in an attempt that you are able to make use of ANN means to press items style as well as in addition to foresee gear lifetime contained sheet metal industries or perhaps maybe even in for bodily engineering process.