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In the traditional approach to a digital asset management system, the data processing mechanism is not transparent or visible to the data owners since the data is managed solely by the service provider. With the rapid development of blockchain technology, the above issues can be resolved by leveraging the tamper-resistance and decentralization characteristics of blockchain. However, post the implementation of the EU General Data Protection Rules (GDPR) in 2018, the protection of data owners has taken center stage. This has led to several principles of personal data deletion, such as Storage Limit and the Right to Be Forgotten to conflict with the blockchain. It is also observed that, out of the various smart contracts deployed to manage digital assets, often only specific smart contracts are invoked, while the rest of the deployed smart contracts are rarely invoked, leading to smart contract designs exhibiting similar patterns with very little creativity. This current scenario has motivated us to propose SPChain, a smarter and private GDPR-compliant digital asset management framework enabled by blockchain. In this approach, a decentralized InterPlanetary File System has been adopted to solve the problem of SPOF. In addition, the combination of digital assets with artificial intelligence models has been proposed so as to make digital assets accessible to a larger number of applications and to enable better creativity. In this design, artificial intelligence models have been run in independent, virtualized containers and invoked through smart contracts. The proposed SPChain can be applied to the field of digital art management to provide a complete implementation based on the Hyperledger Fabric. Using this proposed framework, model developers, digital art creators, collectors, service providers, as well as third parties can not only benefit from securely managing digital assets and combining them with AI models, but also from simultaneously complying with the rights stipulated in the GDPR. During the course of the experiments conducted, the latency, throughput, and resource consumption of different functions in the smart contracts have been measured. After adjusting the batch timeout of the block and the maximum number of transactions in a block, the throughputs were observed to be about 500 TPS, with 10 to 15 TPS for reading and writing operations, respectively. The latency ranges were found to range from 0 to 7 seconds, with 2.5 to 5 seconds for reading and writing operations, respectively.

Alzheimer's disease (AD) is a brain disease that causes problems in memory, thinking, and behavior. Allantoin has been shown to have antioxidant, anti-inflammatory, and neuroprotective effects. In this study, we aimed to investigate the effect and mechanism of action of allantoin on AD-related memory impairment. We investigated the effect of allantoin on an amyloid β1–42 peptide (Aβ1–42)-induced AD model in rats and evaluated its memory-enhancing effect using the Morris water maze test. Pathological changes in the hippocampus and cortex were examined by hematoxylin-eosin staining. The expression of the phosphorylated Tau protein and PI3K/Akt/GSK-3β signaling pathway was analyzed by western blotting. The results of the water maze test showed that after treatment with allantoin, the rats could reduce their swimming time and travel distances to find the platform. Allantoin treatment also increased the time spent in the quadrant in which the platform was located. Histological assessment showed that Aβ1–42 could cause morphological alterations in nerve cells in the hippocampal CA1 region, and that allantoin could repair the damage to these cells. Western blotting revealed that allantoin treatment increased the expression of p-PI3K, p-Akt, and p-GSK-3β and decreased p-Tau in the hippocampus and cortex of rats. These effects were inhibited by LY294002. These findings showed that allantoin could improve cognitive impairment in Aβ1–42-induced rats by activating the PI3K/Akt/GSK-3β signaling pathway to reduce abnormal hyperphosphorylation of Tau. Thus, allantoin may be a potential therapeutic agent for neurodegenerative diseases.

Dioxins comprise a group of compounds which contain a double aromatic ring-like structure. They are among the most prevalent and toxic environmental pollutants. Accumulation of dioxins in human tissues poses a potential threat to human health. Currently, analytical chemical procedures dominate dioxin-detection protocols. In this study, we established a fluorescence resonance energy transfer (FRET)-based dioxin-detection bioassay. Aryl hydrocarbon receptor (AHR) and AHR nuclear translocator (ARNT) fused-cyan fluorescent protein (CFP) and -yellow fluorescent protein (YFP) constructed were transiently co-transfected into rat hepatoma cell line, H4IIEC3 cells. Our results showed that no FRET signals were detected in AHR-CFP- and ARNT-YFP-transfected H4IIEC3 cells. However, dioxin treatments upregulated FRET signals in these transfected cells in a dose-dependent manner. This work highlighted the potential of FRET technique in the detection of dioxin-like compounds. [ABSTRACT FROM AUTHOR]

This study investigates the emissions of polychlorinated dibenzo-p-dioxins (PCDDs)and polychlorinated dibenzofurans (PCDFs)from four electric arc furnaces (EAFs)and eight secondary aluminum smelters (secondary ALSs) in Taiwan. The mean PCDD/F International-Toxicity Equivalents (I-TEQ) concentrations in the stack gases of these EAFs and secondary ALSs are 0.28 ng I-TEQ/Nm³ (relative standard deviation [RSD ]=100%) and 3.3 µg I-TEQ/Nm³ (RSD=260%), respectively. The high RSDs, especially for those obtained from secondary ALSs, could be caused by the intrinsic differences in their involved feeding materials, furnace operating conditions, and air pollution control devices. The mean I-TEQ emission factor of PCDD/Fs for EAFs (1.8 &micro:g I-TEQ/tonne-feedstock) is lower than that for secondary ALSs (37µg I-TEQ/tonne-feedstock). This result might be because the involved furnace temperatures for secondary ALSs (650 - 750 °C) are lower than those for EAFs (1600 - 1700 °), resulting in the deterioration of the combustion condition, leading to the formation of PCDD/Fs during the industrial process. This study found that the total PCDD/F emissions from EAFs (20 g I-TEQ/yr) and secondary ALSs (18 g I-TEQ/yr) are ∼27, 53, and ∼ 49 times higher than those from municipal solid waste incinerators (MSWIs; 0.74 g I-TEQ/yr) and medical waste incinerators (MWIs; 0.37 g I-TEQ/yr), respectively; while those are 44 and 40% of total PCDD/F emission from sinter plants (45 g I-TEQ/yr), respectively. Considering a more stringent emission limit has been applied to waste incinerators (0.1 ng I-TEQ/Nm³) in Taiwan lately, the results suggest that the control of the emissions from metallurgical processes has become the most important issue for reducing the total PCDD/F emission from industrial sectors to the ambient environment. [ABSTRACT FROM AUTHOR]