https://repository.utm.md/handle/5014/4604 Fri, 17 Apr 2026 16:41:22 GMT 2026-04-17T16:41:22Z https://repository.utm.md/handle/5014/25602 6th International conference on Nanotechnologies and Biomedical Engineering ICNBE-2023. Abstract Book Technical University of Moldova; Moldavian Society of Biomedical Engineering; SONTEA, Victor; TIGINYANU, Ion; RAILEAN, Serghei The conference covers a wide range of subjects of primary importance for research and development such as nanotechnologies and nanomaterials; bio-micro/nano technologies and devices, biomaterials for medical applications, biosensors and bioinstrumentation, biomedical signal and image processing, bioinformatics and computational biology, medical physics and biophysics, molecular, cellular and tissue engineering, clinical engineering, health technology management and assessment, innovation, development and interdisciplinary research, nuclear and radiation safety and security, medical physics and radiation protection, new technologies for diagnosis, treatment and rehabilitation, personalized approaches in medicine. Sun, 01 Jan 2023 00:00:00 GMT https://repository.utm.md/handle/5014/25602 2023-01-01T00:00:00Z https://repository.utm.md/handle/5014/25601 5th International conference on Nanotechnologies and Biomedical Engineering ICNBE-2021. Program and Abstract Book Technical University of Moldova; Moldavian Society of Biomedical Engineering; SONTEA, Victor; TIGINYANU, Ion; RAILEAN, Serghei ICNBME-2021 continues the series of International Conferences in the field of nanotechnologies and biomedical engineering. The conference aims at bringing together scientists and engineers dealing with fundamental and applied research for reporting on the latest theoretical developments and applications in the fields involved. Fri, 01 Jan 2021 00:00:00 GMT https://repository.utm.md/handle/5014/25601 2021-01-01T00:00:00Z https://repository.utm.md/handle/5014/24965 UV-A to Red Light Induced Neutrophil Extracellular Traps MAMATKULOV, Kahramon; YEVREMOVIC, Anka; ARYNBEK, Yersultan; VOROBJEVA, Nina; ARZUMANYAN, Grigory Neutrophils play an important role in the pathogenesis of inflammatory, autoimmune, and oncological diseases. In this study, we investigated the role of radiation in a wide range of wavelengths, from UV-A to red visible light, based on the concept of photoacceptance by two cytochromes: cytochrome_b558 and cytochrome_c oxidase. Raman spectroscopy was applied to record characteristic Raman frequencies of radicals, particularly hydrogen peroxide and hypochlorous acid as well as the spectrum of citrulline in the low-frequency lattice vibrational modes. Using selective inhibitors of NADPH oxidase (apocynin) and PAD4 (GSK484), we have demonstrated different effectiveness of NET suppression depending on the activation wavelength. We recorded sharp peaks of ROS and citrulline in the process of neutrophil irradiation, indicating the involvement of intracellular ROS during light exposure. In conclusion, we believe that the development of new drugs designed to suppress NETs can lead to the inhibition of the NET formation at sites of UV and visible light exposure and, as a result, to decrease in the symptoms of UV-induced photoaging and other organ damages. Only Abstract Sun, 01 Jan 2023 00:00:00 GMT https://repository.utm.md/handle/5014/24965 2023-01-01T00:00:00Z https://repository.utm.md/handle/5014/24964 Application of the Josephson Junction for the ANNs Energy Efficient Memory LUPU, Maria; SIDORENKO, Anatolie The proposed study is relevant due to the possibility of developing new energy-efficient computers with non-von Neumann architecture based on elements of superconducting spintronics. For this reason, the use of superconducting materials seems to be the most promising direction that meets these tasks. Traditionally, in superconducting logic and memory, information is associated with a quantum of magnetic flux, which, firstly, limits the degree of integration (a cell must contain one quantum of flux), and secondly, determines the localization of information, which complicates the physical implementation of information processing algorithms. These limitations lead to a low functional density of existing superconducting circuits and make it difficult to develop circuits based on nonclassical principles of information processing, such as deep neural networks, which are key components in the creation of artificial intelligence. Recently, fundamental physics research in superconductor-ferromagnet thin-film tunnel structures based on magnetic Josephson Junctions created a new opportunity to solve this long-standing problem. Only Abstract Sun, 01 Jan 2023 00:00:00 GMT https://repository.utm.md/handle/5014/24964 2023-01-01T00:00:00Z