Melatonin has emerged as a research highlight regarding its important role in regulating plant growth and the adaptation to the environmental stresses. In this study, we investigated how melatonin ...prevented the cadmium toxicity to wheat seedlings. The results demonstrated that cadmium induced the expression of melatonin biosynthesis-related genes and cause a significant increase of endogenous melatonin level. Melatonin treatment drastically alleviated the cadmium toxicity, resulting in increased plant height, biomass accumulation, and root growth. Cadmium and senescence treatment significantly increased the endogenous level of hydrogen peroxide, which was strictly counterbalanced by melatonin. Furthermore, melatonin treatment caused a significant increase of GSH (reduced glutathione) content and the GSH/GSSG (oxidized glutathione) ratio. The activities of two key antioxidant enzymes, ascorbate peroxidase (APX) and superoxide dismutase (SOD), but not catalase (CAT) and peroxidase (POD), were specifically improved by melatonin. Additionally, melatonin not only promoted the primary root growth, but also drastically enhanced the capacity of the seedling roots to degrade the exogenous hydrogen peroxide. These results suggested that melatonin played a key role in maintaining the hydrogen peroxide homeostasis, via regulation of the antioxidant systems. Conclusively, this study revealed a crucial protective role of melatonin in the regulation of cadmium resistance in wheat.
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The core of cross-modal hashing methods is to map high dimensional features into binary hash codes, which can then efficiently utilize the Hamming distance metric to enhance retrieval efficiency. ...Recent development emphasizes the advantages of the unsupervised cross-modal hashing technique, since it only relies on relevant information of the paired data, making it more applicable to real-world applications. However, two problems, that is intro-modality correlation and inter-modality correlation, still have not been fully considered. Intra-modality correlation describes the complex overall concept of a single modality and provides semantic relevance for retrieval tasks, while inter-modality correction refers to the relationship between different modalities. From our observation and hypothesis, the dependency relationship within the modality and between different modalities can be constructed at the object level, which can further improve cross-modal hashing retrieval accuracy. To this end, we propose a Visual-textful Correlation Graph Hashing (OVCGH) approach to mine the fine-grained object-level similarity in cross-modal data while suppressing noise interference. Specifically, a novel intra-modality correlation graph is designed to learn graph-level representations of different modalities, obtaining the dependency relationship of the image region to image region and the tag to tag in an unsupervised manner. Then, we design a visual-text dependency building module that can capture correlation semantic information between different modalities by modeling the dependency relationship between image object region and text tag. Extensive experiments on two widely used datasets verify the effectiveness of our proposed approach.
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•DOM in Dianchi Lake were dominated by humic-like substances.•DOM in Dianchi Lake is affected by the macrophytes and algae distribution as well as inflowing rivers.•DOM components had high relevance ...to water quality indicators.•The DOM components of Dianchi Lake are prone to humification.
Dissolved organic matter (DOM) is an important part of the material cycle in the water environment, and it plays an important role in the nutrient cycle of nitrogen and phosphorus in eutrophic water and biological processes. Dianchi Lake is a heavily eutrophic plateau lake in China. To investigate the fluorescence characteristics of DOM and the influences of DOM on water quality of rivers and lakes in the Dianchi Lake basin, three-dimensional fluorescence spectroscopy and high-resolution mass spectrometry were employed to determine the features of dissolved organic matter (DOM) components. According to the research results, the DOM components in rivers and lakes in the Dianchi Lake basin were dominated by humic-like substances and affected by seasonal changes to a certain extent. DOM in Dianchi Lake is affected by the macrophytes and algae distribution as well as inflowing rivers, but the dominant factors are different in dry and rainy seasons. PCA results indicated that DOM components had relatively high relevance to water quality indicators, especially COD and TN. In conclusion, Lake ecosystem status and pollution levels can be characterized by DOM to some extent, the DOM components in the Dianchi Lake are prone to humification with the implementation of wastewater treatment and aquatic ecological restoration projects, as reflected in the improved water quality index.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
In anchor-free object detection, the center regions of bounding boxes are often highly weighted to enhance detection quality. However, the central area may become less significant in some situations. ...In this paper, we propose a novel dual attention-based approach for the adaptive weight assignment within bounding boxes. The proposed improved dual attention mechanism allows us to thoroughly untie spatial and channel attention and resolve the confusion issue, thus it becomes easier to obtain the proper attention weights. Specifically, we build an end-to-end network consisting of backbone, feature pyramid, adaptive weight assignment based on dual attention, regression, and classification. In the adaptive weight assignment module based on dual attention, a parallel framework with the depthwise convolution for spatial attention and the 1D convolution for channel attention is applied. The depthwise convolution, instead of standard convolution, helps prevent the interference between spatial and channel attention. The 1D convolution, instead of fully connected layer, is experimentally proved to be both efficient and effective. With the adaptive and proper attention, the correctness of object detection can be further improved. On public MS-COCO dataset, our approach obtains an average precision of 52.7%, achieving a great increment compared with other anchor-free object detectors.
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Group activity recognition that infers the activity of a group of people is a challenging task and has received a great deal of interest in recent years. Different from individual action recognition, ...group activity recognition needs to model not only the visual cues of individuals but also the relationships between them. The existing approaches inferred relations based on the holistic features of the individual. However, parts of the human body, such as the head, hands, legs, and their relationships, are the critical cues in most group activities. In this paper, we establish the part-based graphs from different viewpoints. The intra-actor part graph is designed to model the spatial relations of different parts for an individual, and the inter-actor part graph is proposed to explore part-level relations among actors, in which visual relation and location relation are both considered. Furthermore, a two-branch framework is utilized to capture the static spatial and dynamic temporal representations simultaneously. On the Volleyball Dataset, our approach obtains a classification accuracy of 94.8%, achieving very competitive performance in comparison with the state of the art. As for the Collective Activity Dataset, our approach improves the accuracy by 0.3% compared with the state-of-the-art results.
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Abstract Objectives Deficiency of calcium and vitamin D is a common finding in postmenopausal osteoporosis (PMOP). However, the effect of cigarette smoking on the serum levels of calcium and ...25-hydroxyvitamin D 25(OH)D remains inconclusive. Methods The data of 432 inpatients with PMOP between January 2016 and October 2019 were collected from the hospital information system of the Second Hospital of Shanxi Medical University. The associations between smoking habits and serum calcium and 25(OH)D levels were analyzed by multiple linear regression. The intensity and duration of smoking were also conducted in the analysis to detect the dose-dependent effect of cigarette smoking. Results Significant differences were found between smokers and never smokers regarding serum calcium and 25(OH)D levels. The multiple linear regression model showed significant negative associations of the daily number of cigarette smoking and the smoking durations with the serum calcium and 25(OH)D levels. Moreover, the effect of smoking on the decreased levels of serum calcium and 25(OH)D showed a dose-dependent manner. Conclusions Cigarette smoking was negatively associated with the serum calcium and 25(OH)D levels in patients with PMOP. Early detection of serum calcium and 25(OH)D may contribute to predicting fracture risk, and smoking cessation intervention is necessary for patients with POMP.
Selenite is extremely biotoxic, and as a result of this, exploitation of microorganisms able to reduce selenite to non-toxic elemental selenium (Se⁰) has attracted great interest. In this study, a ...bacterial strain exhibiting extreme tolerance to selenite (up to 100 mM) was isolated from the gut of adult
and identified as
YC801. This strain demonstrated efficient transformation of selenite into red selenium nanoparticles (SeNPs) by reducing nearly 100% of 1.0 and 5.0 mM selenite within 42 and 48 h, respectively. Electron microscopy and energy dispersive X-ray analysis demonstrated that the SeNPs were spherical and primarily localized extracellularly, with an average hydrodynamic diameter of 178.3 ± 11.5 nm. In vitro selenite reduction activity assays and real-time PCR indicated that thioredoxin reductase and similar proteins present in the cytoplasm were likely to be involved in selenite reduction, and that NADPH or NADH served as electron donors. Finally, Fourier-transform infrared spectral analysis confirmed the presence of protein and lipid residues on the surfaces of SeNPs. This is the first report on the capability of
to reduce selenite to SeNPs.
YC801 might provide an eco-friendly approach to bioremediate selenium-contaminated soil/water, as well as a bacterial catalyst for the biogenesis of SeNPs.
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Recommender systems help users filter items they may be interested in from massive multimedia content to alleviate information overload. Collaborative filtering-based models perform recommendation ...relying on users' historical interactions, which meets great difficulty in modeling users' interests with extremely sparse interactions. Fortunately, the rich semantics hidden in items may be promising in helping to describing users' interests. In this work, we explore the semantic correlations between items on modeling users' interests and propose knowledge-aware multispace embedding learning (KMEL) for personalized recommendation. KMEL attempts to model users' interests across semantic structures to leverage valuable knowledge. High-order semantic collaborative signals are extracted in multiple independent semantic spaces and aggregated to describe users' interests in each specific semantic. The semantic embeddings are adaptively integrated with a target-aware attention mechanism to learn cross-space multisemantic embeddings for users and items, which are fed to the subsequent pairwise interaction layer for personalized recommendation. Experiments on real-world datasets demonstrate the effectiveness of the proposed KMEL model.
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Oliver staminate flower (ESF) tea enjoys a good reputation in folk medicine and displays multiple bioactivities, such as antioxidant and antifatigue properties. However, the underlying biological ...mechanisms remain largely unknown. In this study, we aimed to investigate whether ESF tea can mitigate cellular oxidative stress. Crude ethyl alcohol extract and its three subfractions prepared by sequential extraction with chloroform, n-butyl alcohol and residual water were prepared from ESF tea. The results of antioxidant activity tests in vitro manifested n-butyl alcohol fraction (n-BUF) showed the strongest antioxidant capacity (DPPH: IC
= 24.45 ± 0.74 μg/mL, ABTS: IC
= 17.25 ± 0.04 μg/mL). Moreover, all subfractions of ESF tea, especially the n-BUF, exhibited an obvious capacity to scavenge the reactive oxygen species (ROS) and stimulate the NRF2 antioxidative response in human keratinocytes HaCaT treated by H
O
. Using ultra-high-performance liquid chromatography, we identified geniposidic acid (GPA) as the most abundant component in ESF tea extract. Furthermore, it was found that GPA relieved oxidative stress in H
O
-induced HaCaT cells by activating the Akt/Nrf2/OGG1 pathway. Our findings indicated that ESF tea may be a source of natural antioxidants to protect against skin cell oxidative damage and deserves further development and utilization.
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Underwater image enhancement is an important low‐level vision task with much attention of community. Clear underwater images are helpful for underwater operations. However, raw underwater images ...often suffer from different types of distortions caused by the underwater environment. To solve these problems, this paper proposes an end‐to‐end dual generative adversarial network (DuGAN) for underwater image enhancement. The images processed by existing methods are taken as training samples for reference, and they are segmented into clear parts and unclear parts. Two discriminators are used to complete adversarial training toward different areas of images with different training strategies, respectively. The proposed method is able to output more pleasing images than reference images benefit by this framework. Meanwhile, to ensure the authenticity of the enhanced images, content loss, adversarial loss, and style loss are combined as loss function of our framework. This framework is easy to use, and the subjective and objective experiments show that excellent results are achieved compared to those methods mentioned in the literature.
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