Special Issue "Perspectives and Challenges in Doctoral Research—Selected Papers from the 11th Edition of the Scientific Conference of the Doctoral Schools of “Dunărea de Jos” University of Galati (SCDS-UDJG)"

A special issue of Inventions (ISSN 2411-5134).

Deadline for manuscript submissions: 31 December 2023 | Viewed by 1602

Special Issue Editors

Special Issue Information

Dear Colleagues,

This is the third SI dedicated to the Scientific Conferences of the Doctoral Schools from “Dunărea de Jos” University of Galaţi; the first two concerned the 9th and 10th editions in 2021 and 2022.

We are seeking submissions for the 11th edition of the Scientific Conference of the Doctoral Schools from “Dunărea de Jos” University of Galaţi. The objective of the 2023 Conference is to provide a common forum for perspectives and challenges in doctoral research, allowing researchers to convene and share state-of-the-art developments in their field. At this conference, our institution aims to promote excellence and set up partnerships and collaborative relationships through the exchange of knowledge and expertise.

As in the previous editions, the conference invites oral and poster presentations in sections related to the main domains of doctoral research at UDJG. Workshops, exhibition stands, and social activities are also included, all with the aim of developing and improving the network of the doctoral schools.

Recommended topics include (but are not limited to) the following:

  1. Advanced research in mechanical and industrial engineering;
  2. Progress in food science and bio-resources engineering;
  3. Advances in engineering and management in agriculture and rural development;
  4. Advanced research in electrical/electronic engineering, system engineering and information technologies;
  5. Future of eco-nanotechnologies, functional materials and coatings chemistry;
  6. Electrochemistry in life sciences.

All the papers presented at the conference and accepted for publication in this Special Issue will receive a 50% discount on the APC.

Prof. Dr. Eugen Rusu
Prof. Dr. Gabriela Rapeanu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Inventions is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • PhD students
  • excellence in research
  • young researchers
  • encouraging performance

Published Papers (2 papers)

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Research

Article
Quantification of Statins in Pharmaceutical Products Using Screen-Printed Sensors Based of Multi-Walled Carbon Nanotubes and Gold Nanoparticles
Inventions 2023, 8(5), 111; https://doi.org/10.3390/inventions8050111 - 30 Aug 2023
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Abstract
This study describes the use of electrochemical sensors to detect and quantify several statins (rosuvastatin and simvastatin) in pharmaceutical products. Two types of commercially screen-printed sensors were used and compared: one based on carbon (SPCE) and the other modified with gold nanoparticles and [...] Read more.
This study describes the use of electrochemical sensors to detect and quantify several statins (rosuvastatin and simvastatin) in pharmaceutical products. Two types of commercially screen-printed sensors were used and compared: one based on carbon (SPCE) and the other modified with gold nanoparticles and multi-walled carbon nanotubes (SPE/GNP-MWCNT). Cyclic voltammetry was employed for determination. The AuNP-MWCNTs/SPCE sensor outperformed the SPCE sensor, displaying excellent electrochemical properties. It demonstrated high sensitivity with low limits of detection (LOD) and quantification (LOQ) values: 0.15 µM and 5.03 µM, respectively, for rosuvastatin and 0.30 µM and 1.01 µM, respectively, for simvastatin. The sensor had a wide linear range of 20–275 µM for rosuvastatin and 50–350 µM for simvastatin. Using the AuNP-MWCNTs/SPCE sensor, rosuvastatin and simvastatin were successfully quantified in pharmaceutical products. The results were validated towards producer-reported values (standardized drugs) and a conventional analysis method (FTIR). The sensor exhibited excellent stability, reproducibility, and analytical recovery ranging from 99.3% to 106.6% with a low relative standard deviation (RSD) of less than 1%. In conclusion, the AuNP-MWCNTs/SPCE sensor proved to be a reliable and sensitive tool for detecting and quantifying statins in pharmaceutical products. Its superior electrochemical properties, low LOD and LOQ values, wide linear range, and high analytical recovery make it a promising choice for pharmaceutical quality control. Full article
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Article
A Comparative Assessment of Homomorphic Encryption Algorithms Applied to Biometric Information
Inventions 2023, 8(4), 102; https://doi.org/10.3390/inventions8040102 - 11 Aug 2023
Viewed by 423
Abstract
This paper provides preliminary research regarding the implementation and evaluation of a hybrid mechanism of authentication based on fingerprint recognition interconnected with RFID technology, using Arduino modules, that can be deployed in different scenarios, including secret classified networks. To improve security, increase efficiency, [...] Read more.
This paper provides preliminary research regarding the implementation and evaluation of a hybrid mechanism of authentication based on fingerprint recognition interconnected with RFID technology, using Arduino modules, that can be deployed in different scenarios, including secret classified networks. To improve security, increase efficiency, and enhance convenience in the process of authentication, we perform a comparative assessment between two homomorphic encryption algorithms, the Paillier partial homomorphic algorithm and the Brakerski–Gentry–Vaikuntanathan fully homomorphic encryption scheme, applied to biometric templates extracted from the device mentioned above, by analyzing factors such as a histogram analysis, mean squared error (MSE), peak signal-to-noise ratio (PSNR), the structural similarity index measure (SSIM), the number of pixel change rate (NPCR), the unified average changing intensity (UACI), the correlation coefficient, and average encryption time and dimension. From security and privacy perspectives, the present findings suggest that the designed mechanism represents a reliable and low-cost authentication alternative that can facilitate secure access to computer systems and networks and minimize the risk of unauthorized access. Full article
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