In recent decades, cancer-associated deaths have become the leading cause of human mortality. Among them, gastric cancer is the fourth leading cause of cancer deaths worldwide, with an estimated 0.77 million deaths in 2020. 1 Chemotherapy is a common strategy for cancer treatment, and there have been numerous endeavours to design, develop, modify and evaluate anti-cancer drugs. Natural compounds present a huge potential source of anti-cancer drugs.Resveratrol, the best-known polyphenolic stilbenoid, is abundant in grape skin and seeds 2,3 and exhibits many health beneficial properties, including anti-oxidation and anti-inflammatory activity. To date, a number of reports have documented the application of resveratrol in cancer treatment. 4,5 Resveratrol has been shown to inhibit cellular proliferation, progression and invasiveness in various types of cancers. 4 Several clinical trials evaluating the effects of resveratrol in

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Contamination sources of polycyclic aromatic hydrocarbons (PAHs) in the raw material, oil production and storage processes of wood-pressed rapeseed oil were investigated in this study. The results showed that benzo[a]pyrene (BaP) and PAH4 (sum of BaP, benzo[a]fluoranthene, benzo[b]fluoranthene and chrysene) were unevenly distributed in the kernel (0.56-0.98 and 2.84-8.64 μg/kg, respectively) and hull (1.53-3.17 and 13.49-22.31 μg/kg, respectively) of the rapeseed raw materials. The contents of BaP and PAH4 continuously increased during the process of wood-pressed rapeseed oil, ranging from 2.21 to 10.93 and 9.36 to 40.03 μg/kg, thus demonstrating that a wide range of pollution sources of PAHs existed for the test wood-pressed rapeseed oils. The initial temperature and time of roasting should be controlled at <210°C and <60 min, due to the generation of PAHs in rapeseed by over-roasting. In addition, contact tools and substance such as lubricating oil (from the mill), heat-transfer oil (from roasting machine), rubber gaskets and straws should be properly screened. The BaP and PAH4 of rapeseed placed in the roasting area increased from 0.5 to 2.24 and from 2.08 to 9.03 μg/kg, respectively. Therefore, roasting fume control and treatment systems are necessary and the roasting section should be strictly isolated from the other stages. Storage can slightly lower the PAHs amounts in the rapeseed oil, which made the contents of BaP and PAH4 decrease from 27.00 to 24.70 and from 138.63 to 117.58 μg/kg, respectively. Quality control measures of PAHs in wood-pressed rapeseed oil were proposed and implemented, and the final oil products' BaP and PAH4 were kept below 2 and 10 μg/kg, respectively, which meets the European Commission Regulation No. 835/2011.

Aberrant activation of the PI3K/AKT pathway is considered in many malignant tumors which plays a crucial role in mediating malignancy progression, metastasis, and chemoresistance. Consequently, development of PI3K/AKT pathway targeted...

In multi-tasking scenarios with dynamically changing loads, the parallel computing of convolutional neural networks (CNNs) causes high energy and resource consumption in the system. Another critical problem is that previous neural network hardware accelerators are often limited to fixed scenarios and lack the function of adaptive adjustment. To solve these problems, a reconfiguration adaptive system based on the prediction of algorithm workload is proposed in this paper. Deep Learning Processor Unit (DPU) from Xilinx has excellent performance in accelerating network computing. After summarizing the characteristics of hardware accelerators and gaining an in-depth understanding of the DPU structure, we propose a regression model for CNNs runtime prediction and a guidance scheme for adaptive reconfiguration combined with the characteristics of Deep Learning Processor Unit. For different DPU sizes, the accuracy of the proposed prediction model achieves 90.7%. With the dynamic reconfiguration technology, the proposed strategy can enable accurate and fast reconfiguration. In the load change scenario, the proposed system can significantly reduce power consumption.

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