Lightweight image de-snowing: A better trade-off between network capacity and performance.

The single image de-snowing task is an essential topic in computer vision, as images captured on snowy days degrade the performance of current vision-based intelligent systems. Existing methods build complex network structures with numerous parameters to pursue continuous performance improvement. Nonetheless, they generally ignore the negative impact of large memory consumption in real applications. This paper aims to address the above problem by making a trade-off between network capacity and performance. We propose two novel networks suitable for different application scenarios. For devices with small memory and requiring fast inference speed, we propose an extremely lightweight recursive network (XLRNet). XLRNet is constructed by a single recursive strategy and two novel lightweight modules. For devices with large memory and pursuing better de-snowing performance, we propose a coupled lightweight dual recursive network (CLDRNet). CLDRNet cascades two XLRNets by a novel dual recursive strategy and a novel dual coupled LSTM module (DC-LSTM). Extensive experiments demonstrate the effectiveness and superiority of our two models on three synthetic datasets and real-world datasets.

Chemical characterization of the polar antibacterial fraction of the ethanol extract from Rosmarinus officinalis.

Rosmarinus officinalis L. has been widely used as a spice to extend the shelf life of foods. Most studies in the literature indicate that its essential oil is its major antibacterial component. In this study, a polar fraction from rosemary exhibited considerably stronger antibacterial activity against Bacillus subtilis than its essential oil. Guided by rapid characterization of the chemical compositions based on UPLC-Orbitrap-MS/MS, further investigation resulted in the isolation and identification of sixteen compounds. Among them, two new and six known compounds were identified in rosemary for the first time. Most isolated compounds exhibited significant antibacterial activities with minimum inhibitory concentration values of 2-128 µg/mL; however, these activities were weaker than that of the polar fraction. Thus, the polar fraction demonstrated a promising potential to serve as a food additive, as an alternative to the essential oil, because of its stronger antibacterial activity.

Polyhydroxylated sterols from Monascus purpureus-fermented rice.

Using a cell-based cytotoxicity assay, two new polyhydroxylated sterols, 16(S),22(S)-epoxy-3ß,5α,6ß,20(R),23(R),25-hexahydroxy-7-ergostene and 3ß,7ß,8α,25-tetrahydroxy-5,22E-ergostadiene were isolated from the ethyl acetate portion of the ethanolic extract of Monascus purpureus. Their structures were elucidated by spectroscopic analysis and in comparison with those reported in the literature. Both compounds showed cytotoxic activity against the lung adenocarcinoma (A549) with IC50 values of 12.6 and 18.5 µM, exhibited moderate activities against human ovarian cancer (A2780), with IC50 values of 8.8 and 9.4 µM.

Bioassay-Guided Isolation of Triterpenoids as α-Glucosidase Inhibitors from Cirsium setosum.

Cirsium setosum (C. setosum) has a potential antihyperglycemic effect, but it is unclear what bioactive components play a key role. According to the α-glucosidase inhibition activity, three new taraxastane-type triterpenoids of 3ß-hydroxy-30-hydroperoxy-20-taraxastene (1), 3ß-hydroxy-22α-methoxy-20-taraxastene (2), and 30-nor-3ß,22α-dihydroxy-20-taraxastene (3), as well as five known taraxastane triterpenoids of 3ß,22-dihydroxy-20-taraxastene (4), 20-taraxastene-3,22-dione (5), 3ß-acetoxy-20-taraxasten-22-one (6), 3ß-hydroxy-20-taraxasten-22-one (7), and 30-nor-3ß-hydroxy-20-taraxastene (8) were obtained from the petroleum ether-soluble portion of the ethanol extract from C. setosum. All chemical structures of the compounds were elucidated by spectroscopic data analysis and compared with literature data. Compounds 4-8 were identified for the first time from this plant, and compounds 1, 2, 4, and 7 exhibited more potent α-glucosidase inhibitory activity-with IC50 values of 18.34 ± 1.27, 26.98 ± 0.89, 17.49 ± 1.42, and 22.67 ± 0.25 µM, respectively-than acarbose did (positive control, IC50 42.52 ± 0.32 µM).