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- 저자 : Yanjie Li (검색결과 21 건)
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Setosphapyrone C and D accelerate macrophages cholesterol effl ux by promoting LXRa/ABCA1 pathway
Ting Li,Jiayu Yin,Yubin Ji,Ping Lin,Yanjie Li,Zixun Yang,Shumei Hu,Jin Wang,Baihui Zhang,Saloni Koshti,Junfeng Wang,Chenfeng Ji,Shoudong Guo 대한약학회 2020 Archives of Pharmacal Research Vol.43 No.8
LXRα agonists have attracted signifi cant attentiondue to their potential biological activities on promotingcholesterol effl ux. This study was designed to investigatewhether setosphapyrone C and D have potential lipid-loweringcapacity and the underlying mechanisms in vitro. Ourdata showed that setosphapyrone C and D had weak cytotoxicitycompared to the liver X receptor α (LXRα) agonistT0901317. In RAW 264.7 macrophages, setosphapyroneC and D signifi cantly enhanced [ 3 H]-cholesterol effl ux by~ 21.3% and 32.4%, respectively; furthermore, setosphapyroneC and D enhanced the protein levels of ATP-bindingcassette transporter (ABC) A1 and LXRα by 58% and 69%,and 60% and 70% (8 μM), respectively; however, they had noeff ect on the protein levels of ABCG1 and scavenger receptorB type 1; additionally, they had minor eff ect on the mRNAexpression of lipogenic genes. Of note, setosphapyrone C and D signifi cantly enhanced LXRα/ABCA1pathway inmice primary macrophages. In BRL cells, setosphapyroneC and D signifi cantly improved the protein levels of ABCA1and ABCG1; setosphapyrone D signifi cantly enhanced theprotein expression of low-density lipoprotein. Collectively,setosphapyrone C and D with weak cytotoxicity exhibitedeff ective lipid-lowering eff ect via enhancing LXRα/ABCpathways. Setosphapyrones possess potential applicationfor the treatment of hyperlipidemic diseases.
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Multiple-shot People Re-identify based on Feature Selection with Sparsity
Dongping Zhang,Yanjie Li,Jiao Xu,Ye Shen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
In a video surveillance network, it is always required to track and recognize people when they move through the environment. This paper presents a novel re-identification method for multiple-people using feature selection with sparsity. By using the multiple-shot approach, each of appearance models is created in this method. The human body is divided into five parts form which the features of color, height, gradient were extracted respectively. Our appearance model is represented by linear regression method. Experimental results show that our appearance model is robust and attain a high precision rate and processing performance.
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Li, Chen,Zhao, Shuai,Xiao, Ke,Wang, Yanjie Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.1
To combat the adverse impact imposed by illumination variation in the face recognition process, an effective and feasible algorithm is proposed in this paper. Firstly, an enhanced local texture feature is presented by applying the central symmetric encode principle on the fused component images acquired from the wavelet decomposition. Then the proposed local texture features are combined with Deep Belief Network (DBN) to gain robust deep features of face images under severe illumination conditions. Abundant experiments with different test schemes are conducted on both CMU-PIE and Extended Yale-B databases which contain face images under various illumination condition. Compared with the DBN, LBP combined with DBN and CSLBP combined with DBN, our proposed method achieves the most satisfying recognition rate regardless of the database used, the test scheme adopted or the illumination condition encountered, especially for the face recognition under severe illumination variation.
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Li Xin,Wang Chunling,Liu Jiawei,Guo Yu,Cheng Fei,Yang Yanjie,Yan Zhengnan 한국원예학회 2023 Horticulture, Environment, and Biotechnology Vol.64 No.6
Optimizing light conditions is critical for plant growth and seedling production in greenhouse, especially in seasons when the sunlight is insuffi cient. In the present study, tomato ( Solanum Lycopersicum cv. Fenbeibei) seedlings were grown at two levels of supplementary light duration of 6 h·d − 1 (short) (07:00–10:00 and 15:00–18:00) or 12 h·d − 1 (long) (04:00–10:00 and 15:00–21:00) provided by white light-emitting diodes (LEDs, white long and white short, WL and WS) or combinations of white and blue LEDs (white & blue long and white & blue short, WBL and WBS) with same supplementary daily light integral (at 5.5 mol m − 2 d − 1 ) after sowing, and tomato seedlings grown under sunlight only were set as the control. The per centages of light intensity provided by white and blue LEDs under the WB treatments were 85% and 15%, respectively. The results indicated that tomato seedlings grown under WBL treatment exhibited the lowest plant height and shortest hypocotyl length, which was decreased by 34.6% and 41.8%, respectively, compared with the control. The chlorophyll a, chlorophyll b, and total chlorophyll contents of tomato seedlings grown under WBL were signifi cant higher than those under other treat ments. The root fresh weight, root dry weight, and the stem fi rmness of the greenhouse-grown tomato seedlings under WBL were increased by 21.5%, 41.2%, and 38.6%, compared with those grown under WBS, respectively. The sucrose content of tomato seedlings under WBL was increased by 60.4%, compared with that under WL. In conclusion, 12 h·d − 1 supplementary light provided by combinations of white and blue LEDs led to compact morphological characteristics, superior mechanical properties, and satisfactory growth performance. Our fi ndings provide an available lighting strategy to obtain the desired morphological and quality properties of tomato seedlings grown in the seasons with insuffi cient light.
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COVID-19시대 한국 농촌 지역 노인의 단백질 섭취가 근감소증 예방 및 신체기능에 미치는 영향
XINXING LI,김희재,김대영,안서현,서지원,송욱,Zhang Yanjie 대한통합의학회 2022 대한통합의학회지 Vol.10 No.2
Purpose : We aimed to investigate the effects of nutritional foods on sarcopenia prevention and physical function among the elderly living in rural communities during the COVID-19 pandemic by providing customized nutrition. Methods : This study was conducted in the rural community of SCC. Participants (n=24, over age 65) were randomly assigned into a Protein group (n=12) and a Vitamin group (n=12). The protein group was given 23 g/d of protein (whey, soybean, BCAA) for 8 weeks and the Vitamin group 23 g/d of vitamin (B, C, D, E and mixed minerals such as calcium, magnesium, zinc) for 8 weeks. All participants had their body composition such as height, weight, skeletal muscle mass, body mass index, and body fat percentage, measured using bioelectrical impedance analysis (BIA) and physical function assessed using grip strength and the short physical performance battery (SPPB). Results : At the end of the intervention, there was a significant increase in skeletal muscle mass (p<.01) in the Protein group (p=.002, 4.92 %) compared to the baseline: it increased by 2.33 %. The Vitamin group had a significant increase in body fat percentage after the intervention (p=.001, 15.35 %) compared to the baseline: body fat percentage decreased by 4.49 %. There were no significant differences in left and right Grip strength/Weight, SPPB, 4-m gait speed, chair stand test, and sense of balance in both groups. Conclusion : The findings from this study suggest that 8 weeks of protein intake have a significant effect on skeletal muscle mass and body fat percentage. Protein intake helped promoting the health of the elderly in rural community during the COVID-19 pandemic. It will assist creating a foundation for providing customized nutrition for the elderly in rural community in the future.
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Deletion of the oligopeptide transporter Lmo2193 decreases the virulence of Listeria monocytogenes
Honghuan Li,Yanjie Qiao,Dongdong Du,Jing Wang,Xun Ma 대한수의학회 2020 Journal of Veterinary Science Vol.21 No.6
Background: Listeria monocytogenes is a gram-positive bacterium that causes listeriosis mainly in immunocompromised hosts. It can also cause foodborne outbreaks and has the ability to adapt to various environments. Peptide uptake in gram-positive bacteria is enabled by oligopeptide permeases (Opp) in a process that depends on ATP hydrolysis by OppD and F. Previously a putative protein Lmo2193 was predicted to be OppD, but little is known about the role of OppD in major processes of L. monocytogenes, such as growth, virulence, and biofilm formation. Objectives: To determine whether the virulence traits of L. monocytogenes are related to OppD. Methods: In this study, Lmo2193 gene deletion and complementation strains of L. monocytogenes were generated and compared with a wild-type strain for the following: adhesiveness, invasion ability, intracellular survival, proliferation, 50% lethal dose (LD50) to mice, and the amount bacteria in the mouse liver, spleen, and brain. Results: The results showed that virulence of the deletion strain was 1.34 and 0.5 orders of magnitude higher than that of the wild-type and complementation strains, respectively. The function of Lmo2193 was predicted and verified as OppD from the ATPase superfamily. Deletion of lmo2193 affected the normal growth of L. monocytogenes, reduced its virulence in cells and mice, and affected its ability to form biofilms. Conclusions: Deletion of the oligopeptide transporter Lmo2193 decreases the virulence of L. monocytogenes. These effects may be related to OppD's function, which provides a new perspective on the regulation of oligopeptide transporters in L. monocytogenes.
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A Novel Approach for Microblog Message Ranking Based on Trust Model and Content Similarity
Bei Li,Yanjie Liu 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3
With the development of social network such as microblog, the number of microblog users increases rapidly. The problem of information overload caused by a large amount of data generated by users is becoming more and more serious. In order to mine the messages which specific users are interested in, we measure social relationship and interactive relationship of users respectively in this paper and propose the trust model based on the user’s direct trust and indirect trust. By means of the trust model, we select the specific user’s candidate user set from a large number of users. We measure the content similarity of messages in the candidate user set and propose a message ranking approach based on user trust model and content similarity. We analyze and compare the ranking results with users’ real behavior in microblog platform. The experiment results show that the approach can accurately rank the microblog messages which the specific users are interested in.
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( Chen Li ),( Shuai Zhao ),( Ke Xiao ),( Yanjie Wang ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.1
To combat the adverse impact imposed by illumination variation in the face recognition process, an effective and feasible algorithm is proposed in this paper. Firstly, an enhanced local texture feature is presented by applying the central symmetric encode principle on the fused component images acquired from the wavelet decomposition. Then the proposed local texture features are combined with Deep Belief Network (DBN) to gain robust deep features of face images under severe illumination conditions. Abundant experiments with different test schemes are conducted on both CMU-PIE and Extended Yale-B databases which contain face images under various illumination condition. Compared with the DBN, LBP combined with DBN and CSLBP combined with DBN, our proposed method achieves the most satisfying recognition rate regardless of the database used, the test scheme adopted or the illumination condition encountered, especially for the face recognition under severe illumination variation.
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