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        先王退而诗书进:春秋直谏文辞的新变

        吴娇 ( Wu¸ Jiao ) 한국중국산문학회 2020 중국산문연구집간 Vol.10 No.-

        In the history books of the Pre-Qin Dynasty, the records of ministers' outspoken criticism of the monarch can be traced back to the Shang and Zhou Dynasties, and appeared in large quantities in the Spring and Autumn Period. Different from the argument that the old ministers of the Western Zhou dynasty were always quoted with "the way of the former king", the admonishing ministers with complicated status in the Spring and Autumn Period prefer to pay special attention to quoting from the poem, analyzing current events and transmitting the voice of the people when criticizing the monarch, and deliberately used rhetorical skills and logical argumentation to improve the persuadability of the direct admonishing words. These characteristics showed that in the Spring and Autumn period, when blood ties were weakened, cultural identity and rhetoric level gradually became a new bond to build trust between Kings and ministers, and finally led to the formation of vertical and horizontal debates in the Warring States Period.

      • KCI등재

        Physicochemical properties, multi-elemental composition, and antioxidant activity of five unifloral honeys from Apis cerana cerana

        Jiao Wu,Shan Zhao,Xin Chen,Yuanda Jiu,Junfeng Liu,Jinglin Gao,Shijie Wang 한국식품과학회 2023 Food Science and Biotechnology Vol.32 No.13

        Honey quality is in relation to botanical origin, and physicochemical properties, elemental composition, and antioxidant activity have been used for assessment and identification of honeys. The goal of this study is to contribute to the general analysis of five unifloral honeys from Cocos nucifera L., Dalbergia benthami Prain, Bombax ceiba L., Castanea mollissima Bl., and mangrove in Hainan province, China. Our results revealed that B. ceiba honey had the highest pH (4.27), color (139.33 mm Pfund), ash content (1.03 g/100 g), and electrical conductivity (1312.00 μS/cm) in five unifloral honeys. Furthermore, B. ceiba honey also contained the highest levels of total phenolic content (75.54 mg GAE/100 g) and total flavonoid content (29.22 mg RE/100 g), as well as the strongest antioxidant activity (DPPH IC50 value, 3.97 mg/mL; FRAP value, 6527.43 µmol TE/kg). Moreover, we revealed a considerable variation in element contents in honeys using ICP-MS, with potassium being the most predominant element. B. ceiba honey had the highest contents of K, Ca, Mg, and P, whereas the highest amount of Na was found in mangrove honey. Overall, our data indicated that B. ceiba honey deserves further research as a potential antioxidant agent.

      • SCIESCOPUSKCI등재

        Effect of additives and filling methods on whole plant corn silage quality, fermentation characteristics and in situ digestibility

        Jiao, Ting,Lei, Zhaomin,Wu, Jianping,Li, Fei,Casper, David P.,Wang, Jianfu,Jiao, Jianxin Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.11

        Objective: This project aimed to evaluate the effects of both different additives and filling methods on nutritive quality, fermentation profile, and in situ digestibility of whole plant corn silage. Methods: Whole plant corn forage harvested at 26.72% dry matter (DM) was chopped and treated with two filling methods, i) fill silos at one time (F1), ii) fill silos at three times (F3), packing samples into one/three silo capacity at the first day, another one/three capacity at the second day, then one/three at the third day, three replicates. For each replicate, samples were treated with three additives, i) control (CTRL, no additive), ii) Sila-Max (MAX, Ralco Nutrition Inc., Marshall, MN, USA), and iii) Sila-Mix (MIX, Ralco Nutrition Inc., USA). With three replicates of each secondary treatment, there were nine silos, 54 silos in total. Each silo had a packing density of 137.61 kg of DM/m3. All silos were weighed and stored in lab at ambient temperature. Results: After 60 d of ensiling, all items showed good silage fermentation under MAX filled one time or three times (p<0.01). Higher silage quality for all additives was obtained at filling one time than that filled three times (p<0.01). The highest DM and lowest DM loss rate (DMLR) occurred to MAX treatment at two filling methods (p<0.01); Digestibility of acid detergent fiber, neutral detergent fiber (NDF), and curde protein had the same results as silage quality (p<0.01). Yield of digestible DM and digestible NDF also showed higher value under MAX especially for filling one time (p<0.05). Conclusion: All corn silages showed good fermentation attributes (pH<4.0). The forage filled one time had higher silage quality than that filled three times (p<0.01). MAX with homofermentative lactic acid bacteria enhanced the lactic acid fermentation, silage quality and nutrient digestibility, and so improved the digestible nutrient yield.

      • Power Minimization of Intelligent Reflecting Surface-Aided Uplink Systems

        Jiao Wu,Hyunsoo Kim,Byonghyo Shim 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6

        Employing intelligent reflecting surface (IRS) is emerging as an alternative to massive antenna systems for improving signal quality and suppressing interference. Specifically, IRS is a planar surface consisting of a large number of low-cost reflecting elements each of which can reflect the incident signal independently with a desired phase shift, thus achieving the passive beamforming gain. In this paper, we study the uplink power control of an IRS-aided Internet of Things (IoT) network. Our goal is to minimize the uplink power by alternatively optimizing the IRS phase shifts and BS beamforming vectors, subject to the data requirement of users. To solve the formulated non-convex optimization problem, we develop an efficient scheme, called the Riemannian manifold-based alternating optimization (RM-AO).

      • KCI등재

        Identification of Long Non-Coding RNAs and Their Target Genes from Mycelium and Primordium in Model Mushroom Schizophyllum commune

        Tuheng Wu,Jian Chen,Chunwei Jiao,Huiping Hu,Qingping Wu,Yizhen Xie 한국균학회 2022 Mycobiology Vol.50 No.5

        Schizophyllum commune has emerged as the most promising model mushroom to study developmental stages (mycelium, primordium), which are two primary processes of fruit body development. Long non-coding RNA (lncRNA) has been proved to participate in fruit development and sex differentiation in fungi. However, potential lncRNAs have not been identified in S. commune from mycelium to primordium developmental stages. In this study, lncRNA-seq was performed in S. commune and 61.56 Gb clean data were generated from mycelium and primordium developmental stages. Furthermore, 191 lncRNAs had been obtained and a total of 49 lncRNAs were classified as differently expressed lncRNAs. Additionally, 26 up-regulated differently expressed lncRNAs and 23 down-regulated between mycelium and primordia libraries were detected. Further, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that differentially expressed lncRNAs target genes from the MAPK pathway, phosphatidylinositol signal, ubiquitin-mediated proteolysis, autophagy, and cell cycle. This study provides a new resource for further research on the relationship between lncRNA and two developmental stages (mycelium, primordium) in S. commune.

      • A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation

        Shi, Jiao,Wu, Jiaji,Paul, Anand,Jiao, Licheng,Gong, Maoguo Hindawi Publishing Corporation 2014 The Scientific World Journal Vol.2014 No.-

        <P>Active contour models are always designed on the assumption that images are approximated by regions with piecewise-constant intensities. This assumption, however, cannot be satisfied when describing intensity inhomogeneous images which frequently occur in real world images and induced considerable difficulties in image segmentation. A milder assumption that the image is statistically homogeneous within different local regions may better suit real world images. By taking local image information into consideration, an enhanced active contour model is proposed to overcome difficulties caused by intensity inhomogeneity. In addition, according to curve evolution theory, only the region near contour boundaries is supposed to be evolved in each iteration. We try to detect the regions near contour boundaries adaptively for satisfying the requirement of curve evolution theory. In the proposed method, pixels within a selected region near contour boundaries have the opportunity to be updated in each iteration, which enables the contour to be evolved gradually. Experimental results on synthetic and real world images demonstrate the advantages of the proposed model when dealing with intensity inhomogeneity images.</P>

      • Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms

        Shi, Jiao,Wu, Jiaji,Paul, Anand,Jiao, Licheng,Gong, Maoguo Hindawi Limited 2014 Mathematical problems in engineering Vol.2014 No.-

        <P>This paper presents an unsupervised change detection approach for synthetic aperture radar images based on a fuzzy active contour model and a genetic algorithm. The aim is to partition the difference image which is generated from multitemporal satellite images into changed and unchanged regions. Fuzzy technique is an appropriate approach to analyze the difference image where regions are not always statistically homogeneous. Since interval type-2 fuzzy sets are well-suited for modeling various uncertainties in comparison to traditional fuzzy sets, they are combined with active contour methodology for properly modeling uncertainties in the difference image. The interval type-2 fuzzy active contour model is designed to provide preliminary analysis of the difference image by generating intermediate change detection masks. Each intermediate change detection mask has a cost value. A genetic algorithm is employed to find the final change detection mask with the minimum cost value by evolving the realization of intermediate change detection masks. Experimental results on real synthetic aperture radar images demonstrate that change detection results obtained by the improved fuzzy active contour model exhibits less error than previous approaches.</P>

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