Advances in information technology (IT) and operation technology (OT) accelerate the development of manufacturing systems (MS) consisting of integrated circuits (ICs), modules, and systems, toward Industry 4.0. However, the existing MS does not support comprehensive identity forensics for the whole system, limiting its ability to adapt to equipment authentication difficulties. Furthermore, the development of trust imposed during their crosswise collaborations with suppliers and other manufacturers in the supply chain is poorly maintained. In this paper, a trust chain framework with a comprehensive identification mechanism is implemented for the designed MS system, which is based and created on the private blockchain in conjunction with decentralized database systems to boost the flexibility, traceability, and identification of the IC-module-system. Practical implementations are developed using a functional prototype. First, the decentralized application (DApp) and the smart contracts are proposed for constructing the new trust chain under the proposed comprehensive identification mechanism by using blockchain technology. In addition, the blockchain addresses of IC, module, and system are automatically registered to InterPlanetary File System (IPFS), individually. In addition, their corresponding hierarchical CID (content identifier) values are organized by using Merkle DAG (Directed Acyclic Graph), which is employed via the hierarchical content identifier mechanism (HCIDM) proposed in this paper. Based on insights obtained from this analysis, the trust chain based on HCIDM can be applied to any MS system, for example, this trust chain could be used to prevent the counterfeit modules and ICs employed in the monitoring system of a semiconductor factory environment. The evaluation results show that the proposed scheme could work in practice under the much lower costs, compared to the public blockchain, with a total cost of 0.002094 Ether. Finally, this research is developed an innovation trust chain mechanism that could be provided the system-level security for any MS toward Industrial 4.0 in order to meet the requirements of both manufacturing innovation and product innovation in Sustainable Development Goals (SDGs).
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http://dx.doi.org/10.3390/s22134831 | DOI Listing |
Eur J Clin Invest
January 2025
Department of Cardiology, Bern University Hospital, Inselspital, Bern, Switzerland.
Background: The human microbiome is crucial in regulating intestinal and systemic functions. While its role in cardiovascular disease is better understood, the link between intestinal microbiota and valvular heart diseases (VHD) remains largely unexplored.
Methods: Peer-reviewed studies on human, animal or cell models analysing gut microbiota profiles published up to April 2024 were included.
Nephrol Dial Transplant
January 2025
Department of Nephrology and Transplantation, Cardiff and Vale University Health Board, Cardiff, UK.
BK polyomavirus (BKPyV) is recognised as a significant viral complication of kidney transplantation. Prompt immunosuppression reduction reduces early graft failure rates due to BK polyomavirus-associated nephropathy (BKPyVAN), however modulation of immunosuppression can lead to acute rejection. Medium-to-long term graft outcomes are negatively impacted by BKPyVAN, likely due to a combination of virus-induced graft damage and host immune responses against graft alloantigens potentiated by immunosuppression reduction.
View Article and Find Full Text PDFJ Eat Disord
January 2025
Bodywhys - The Eating Disorders Association of Ireland, 105, Blackrock, Co. Dublin, Ireland.
Background: Current research on the transmission of trauma and eating disorders across generations is limited. However, quantitative studies suggest that the influence of parents' and grandparents' eating disorders and their prior exposure to trauma are associated with the development of eating disorders in future generations. Qualitative research exploring personal accounts of the impact of transgenerational trauma on the development of eating disorders has been largely unexplored.
View Article and Find Full Text PDFNat Cancer
January 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Human tumors are diverse in their natural history and response to treatment, which in part results from genetic and transcriptomic heterogeneity. In clinical practice, single-site needle biopsies are used to sample this diversity, but cancer biomarkers may be confounded by spatiogenomic heterogeneity within individual tumors. Here we investigate clonally expressed genes as a solution to the sampling bias problem by analyzing multiregion whole-exome and RNA sequencing data for 450 tumor regions from 184 patients with lung adenocarcinoma in the TRACERx study.
View Article and Find Full Text PDFNat Med
January 2025
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
The delivery of accurate diagnoses is crucial in healthcare and represents the gateway to appropriate and timely treatment. Although recent large language models (LLMs) have demonstrated impressive capabilities in few-shot or zero-shot learning, their effectiveness in clinical diagnosis remains unproven. Here we present MedFound, a generalist medical language model with 176 billion parameters, pre-trained on a large-scale corpus derived from diverse medical text and real-world clinical records.
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