The COVID-19 pandemic has profoundly affected almost all facets of peoples' lives, various economic areas and regions of the world. In such a situation implementation of a vaccination can be viewed as essential but its success will be dependent on availability and transparency in the distribution process that will be shared among the stakeholders. Various distributed ledgers (DLTs) such as blockchain provide an open, public, immutable system that has numerous applications due the mentioned abilities. In this paper the authors have proposed a solution based on blockchain to increase the security and transparency in the tracing of COVID-19 vaccination vials. Smart contracts have been developed to monitor the supply, distribution of vaccination vials. The proposed solution will help to generate a tamper-proof and secure environment for the distribution of COVID-19 vaccination vials. Proof of delivery is used as a consensus mechanism for the proposed solution. A feedback feature is also implemented in order to track the vials lot in case of any side effect cause to the patient. The authors have implemented and tested the proposed solution using Ethereum test network, RinkeyBy, MetaMask, one clicks DApp. The proposed solution shows promising results in terms of throughput and scalability.
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http://dx.doi.org/10.3390/vaccines9111239 | DOI Listing |
Chaos
January 2025
Division of Dynamics, Lodz University of Technology, Stefanowskiego 1/15, 90-537 Lodz, Poland.
This paper examines the circumstances under which a one-degree-of-freedom approximate system can be employed to predict the dynamics of a cantilever beam comprising an elastic element with a significant mass and a concentrated mass embedded at its end, impacting a moving rigid base. A reference model of the system was constructed using the finite element method, and an approximate lowest-order model was proposed that could be useful in engineering practice for rapidly ascertaining the dynamics of the system, particularly for predicting both periodic and chaotic motions. The number of finite elements in the reference model was determined based on the calculated values of natural frequencies, which were found to correspond to the values of natural frequencies derived from the application of analytical formulas.
View Article and Find Full Text PDFArch Toxicol
January 2025
Department of Ecotoxicology, Helmholtz Centre for Environmental Research-UFZ, Permoserstraβe 15, 04318, Leipzig, Germany.
Testing for developmental toxicity is an integral part of chemical regulations. The applied tests are laborious and costly and require a large number of vertebrate test animals. To reduce animal numbers and associated costs, the zebrafish embryo was proposed as an alternative model.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Maya Angelou Center for Health Equity, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background: Black/African Americans (B/AAs) remain underrepresented in Alzheimer's disease (AD) research and clinical trials. As a part of understanding genetics and genomics of AD, four U.S sites are recruiting 4,000 African Americans over age 60 for research participation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Background: Speech variations appear at early stages of Alzheimer's disease (AD) and are potential early indicators. However, the commonly used neuropsychological assessment scales as screening tools for cognitive impairments have limitations due to possible subjective bias of the assessors and the lack of sensitivity in voice detection. We propose a solution based on machine learning for multi-dimensional feature extraction and data fusion of spontaneous speech signals.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Conquering surface fouling of sensors caused by nonspecific adsorption and accumulation of foulants in a food matrix is of significance in accurate food safety analysis. Herein, an antifouling electrochemical aptasensor based on a Y-shaped peptide and nanoporous gold (NPG) for aflatoxin B1 detection in milk, tofu, and rice flour was proposed. The self-designed Y-shaped peptide involves an anchoring segment (-C), a support structure (-PPPP-), and an antifouling domain with two branches (-EK(KSRE)DER-) inspired by two bioactive peptides.
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