This paper introduces RWA-BFT, a reputation-weighted asynchronous Byzantine Fault Tolerance (BFT) consensus algorithm designed to address the scalability and performance challenges of blockchain systems in large-scale IoT scenarios. Traditional centralized IoT architectures often face issues such as single points of failure and insufficient reliability, while blockchain, with its decentralized and tamper-resistant properties, offers a promising solution. However, existing blockchain consensus mechanisms struggle to meet the high throughput, low latency, and scalability demands of IoT applications.
View Article and Find Full Text PDFRegulatory T cells (Tregs) has been shown to be involved in the induction of transplantation tolerance in numerous models. Our previous work demonstrated that METTL14 loss impaired Treg function and hindered the establishment of transplantation tolerance. However, the underlying mechanisms remain unclear.
View Article and Find Full Text PDFSubstantial evidence points to the early onset of peripheral inflammation in the development of Parkinson's disease (PD), supporting the "body-first" hypothesis. However, there remains a notable absence of PD-specific animal models induced by inflammatory cytokines. This study introduces a novel mouse model of PD driven by the proinflammatory cytokine CXCL1, identified in our previous research.
View Article and Find Full Text PDFIntroduction: Patients with advanced hepatocellular carcinoma (HCC) have very limited treatment options, among which transarterial radioembolization (TARE) receives increasing attention, relying on its promising efficacy and fewer side effect. However, a bibliometric analysis of TARE for HCC is still lacking. This study employed bibliometric methods to analyze the related articles over the past three decades, and aimed to identify trends in clinical research comparing TARE to other treatments.
View Article and Find Full Text PDFAmid ambitious net-zero goals and growing demands for freight logistics, addressing the climate challenges posed by the heavy-duty truck (HDT) sector is an urgent and pivotal task. This study develops an integrated HDT model by incorporating vehicle dynamic simulation and life cycle analysis to quantify energy consumption, greenhouse gas (GHG) emissions, and total cost of ownership associated with three emerging powertrain technologies in various truck use scenarios in China, including battery electric, fuel cell electric, and hydrogen combustion engine trucks. The results reveal varying levels of economic suitability for these powertrain alternatives depending on required driving ranges and duty cycles: the battery electric for regional-haul applications, the hydrogen fuel cell for longer-haul and low-load driving conditions, and the hydrogen combustion engine to meet high power requirements.
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