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SWIR FluorescenceImaging In Vivo Monitoring and Evaluating Implanted M2 Macrophages in Skeletal Muscle Regeneration

Engineering 2024年第2期33卷 283-294页

作者： Mo Chen Yuzhou Chen Sijia Feng Shixian Dong Luyi Sun Huizhu Li Fuchun Chen nguyen thi Kim Thanh Yunxia Li Shiyi Chen You Wang Jun Chen Sports Medicine Institute of Fudan University Department of Sports MedicineHuashan HospitalFudan UniversityShanghai 200040China Department of Bone and Joint Surgery Department of OrthopedicsRenji HospitalSchool of MedicineShanghai Jiaotong UniversityShanghai 200127China Department of Anatomy and Physiology School of MedicineShanghai Jiao Tong UniversityShanghai 200025China Key Laboratory of Infrared System Detection&Imaging Technology Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200083China Biophysics Group Department of Physics and AstronomyUniversity College LondonLondon WC1E 6BTUK Healthcare Biomagnetic and Nanomaterials Laboratories University College LondonLondon W1S 4BSUK

Skeletal muscle has a robust regeneration ability that is impaired by severe injury,disease,and *** in a decline in skeletal muscle ***,improving skeletal muscle regeneration is a key challenge in treating skeletal muscle-related *** to their significant role in tissue regeneration,implantation of M2 macrophages(M2MФ)has great potential for improving skeletal muscle ***,we present a short-wave infrared(SWIR)fluorescence imaging technique to obtain more in vivo information for an in-depth evaluation of the skeletal muscle regeneration effect after M2MФ*** fluorescence imaging was employed to track implanted M2MФin the injured skeletal muscle of mouse *** is found that the implanted M2MФaccumulated at the injury site for two ***,SWIR fluorescence imaging of blood vessels showed that M2MФimplantation could improve the relative perfusion ratio on day 5(1.09±0.09 vs 0.85±0.05;p=0.01)and day 9(1.38±0.16 vs 0.95±0.03;p=0.01)post-injury,as well as augment the degree of skeletal muscle regencration on day 13 ***,multiple linear regression analyses determined that post-injury time and relative perfusion ratio could be used as predictive indicators to evaluate skeletal muscle *** results provide more in vivo details about M2MФin skeletal muscle regeneration and confirm that M2MФcould promote angiogenesis and improve the degree of skeletal muscle repair,which will guide the research and development of M2MФimplantation to improve skeletal muscle regeneration.

关键词： In vivo Short-wave infrared Skeletal muscle Macrophage Regeneration

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Exponentially Bounded C-semigroup and the Cauchy Initial Value Problems in Complete Random Normed Modules

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Acta Mathematica Sinica,English Series 2024年第9期40卷 2195-2212页

作者： Son TA CONG Thang Dang HUNG Oanh Le thi Department of Mathematics University of ScienceVietnam National University 334 Nguyen TraiThanh XuanHanoiVietnam Faculty of Natural Sciences Hong Duc University565 Quang TrungDong VeThanh HoaVietnam

In this paper,the notion of C-semigroup of continuous module homomorphisms on a complete random normal(RN)module is introduced and *** existence and uniqueness of solution to the Cauchy problem with respect to exponen... 详细信息

关键词： C-semigroup Cauchy problem random normed modules L^(0)-Lipschitz

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Ziwan-Taoren herb pair can exert an therapeutical effect in primary Sjogren’s syndrome through inhibiting the TLR/NF-κB pathway

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Traditional Medicine Research 2024年第8期9卷 11-22页

作者： Kuok-Tong Lei Yun-Xia Wu Yun Lu Zi-Shan Wang thi-Huong nguyen Qiu-Ying Cai Wen Zhu Yue Wang First Clinical Medical College Nanjing University of Chinese MedicineNanjing 210000China Faculty of Traditional Medicine Phenikaa UniversityHa Noi 100803Vietnam Department of Rheumatology and Immunology Affiliated Hospital of Nanjing University of Chinese MedicineNanjing 210000China

Background:Ziwan and Taoren(ZT)is a classic medicine pair in the formula of Mai Dong Di Shao Decoction,has been used to treat primary Sjogren’s syndrome(pSS)for more than 20 *** its action mechanism is still *** study is aimed to reveal the potential mechanism of ZT treated pSS and discover its active compounds of ZT and therapeutic target for ***:Firstly,the potential pathways of ZT for pSS treatment were predicted through network pharmacology and GO and KEGG enrichment ***,the inter-structural relationships between active compounds of ZT and target proteins were visualized using molecular docking ***,efficacy and mechanism were conducted through in vivo experiments,such as water intake,spleen index,hematoxylin-eosin staining pathological changes,ELISA,Western Blot analysis,and immunofluorescence ***:Nine active compounds were extracted from network pharmacology,including quercitrin,luteolin,kaempferol,β-sitosterol,isorhamnetin,galangin,hederagenin,diosmetin and gibberellin *** disease targets were identified:RELA,TP53,AKT1,interleukin(IL)6,MAPK1,ESR1,IL10;with RELA being the most core *** and GO enrichment analysis indicated that ZT may act through the TLR/NF-κB/RELA inflammatory mechanism *** results of molecular docking showed that ZT’s active compounds bind well to the RELA(p65)*** vivo results demonstrated that a high dose of ZT significantly improved water intake and reduced lymphocytes infiltration in submandibular gland pathology in NOD *** expression content of AQP5 and vasoactive intestinal peptide in the submaxillary gland was significantly increased,while levels of inflammatory factors such as tumor necrosis factor-α,IL-6,and IL-1βalong with protein expressions including toll-like receptor4,p-p65 and p-IKKα/βin NF-κB pathway were ***:The ZT treatment exhibits a promising efficacy in mitigating dryness symptoms of pSS,potentially attr

关键词： traditional Chinese medicine primary Sjogren’s syndrome NF-κB RELA

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Effects of Serum Concentration, Synchronization Time and Confluence on the Cell-Cycle Synchronization Efficiency of Goat Fibroblasts

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Open Journal of Animal Sciences 2024年第3期14卷 194-203页

作者： Van Khanh nguyen Huong Thu thi Vu Au thi Hoang Yen Kim thi Pham Giang thi Thanh Nhan Hung Phu Lai Lan Doan Pham Key Laboratory of Animal Cell Biotechnology National Institute of Animal Science Hanoi Vietnam

this study aims to evaluate the effect of serum concentration, synchronization time, and confluence degree on the synchronisation efficiency of goat fibroblast cycle. The results indicated that there was no difference in the percentage of nucleated fibroblasts in the G0/G1 stage between serum concentrations of 0.3% and 0.4% (83.89% and 82.69%, respectively, P > 0.05) as well as between serum concentrations of 0.2% and 0.5% (76.95% and 75.46%, respectively, P > 0.05). The percentage of nucleated fibroblasts in the G0/G1 stage was highest at the concentration of 0.3% and lowest in the control group (83.89% vs. 62.67%, P 0.05). The beneficial effect of high confluence was confirmed by the large percentage of nucleated fibroblasts at the G0/G1 stage. The 60% confluency was significantly lower than the 80% and 100% confluency (73.44%, 86.63%, and 87.17%, respectively, P < 0.05). The results indicate that the goat fibroblast cycle synchronization is the most effective at the serum concentration of 0.3%, 72 hours of synchronization and 100% confluency.

关键词： Goat Fibroblast Cycle Synchronisation Serum Concentration Synchronization Time Confluence

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自动化班级观察在师幼互动质量评估中的应用与展望

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北京师范大学学报（社会科学版） 2024年第3期 72-80页

作者：王楠张云运 nguyen thi Phuong 李莉赵晓婷北京师范大学中国基础教育质量监测协同创新中心北京100875 郑州师范学院初等教育学院郑州450044

师幼互动质量是学前教育质量最重要的过程性质量指标之一,也是科学、大规模评估需突破的难点。自动化班级观察是多模态数据驱动的教育研究新范式,为师幼互动质量评估提供了新方向。自动化班级观察已经覆盖了情感支持、课堂组织、教学支... 详细信息

师幼互动质量是学前教育质量最重要的过程性质量指标之一,也是科学、大规模评估需突破的难点。自动化班级观察是多模态数据驱动的教育研究新范式,为师幼互动质量评估提供了新方向。自动化班级观察已经覆盖了情感支持、课堂组织、教学支持等多个师幼互动领域,其中以情感支持领域的评估最为成熟;自动化评估也综合采用了面部表情、语音、眼动等多种数据模态,目前语音数据应用得最为广泛。自动化班级观察有助于推动实现教学评一体化和大规模评估,但仍面临数据可靠性、质量和伦理等挑战。未来我国可以从制定评估指标、重点突破关键技术、建设视频资源数据库、开展跨学科研究和完善规范标准等五个方面着力,借助自动化班级观察的应用驱动学前教育质量智能化评价的改革进程。

关键词：师幼互动质量自动化评估班级观察多模态数据

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中原传奇在中国的营销策略研究

中原传奇在中国的营销策略研究

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作者： LY thi HONG LOAN 河北大学

学位级别：硕士

在全球化日益加深的市场背景下,各企业进军国际市场并在外国市场上取得成功显得尤为重要,但同时充满了诸多挑战。本文通过深入研究越南知名咖啡品牌——越南传奇(Trung nguyen Legend)在具有复杂多变特性的中国市场上所采用的多元化营... 详细信息

在全球化日益加深的市场背景下,各企业进军国际市场并在外国市场上取得成功显得尤为重要,但同时充满了诸多挑战。本文通过深入研究越南知名咖啡品牌——越南传奇(Trung nguyen Legend)在具有复杂多变特性的中国市场上所采用的多元化营销策略,旨在揭示这一品牌如何有效应对市场入侵和扩张的策略问题。特别地,研究聚焦于分析该品牌如何利用市场细分、目标定位和产品定位(STP)的策略来精准触达目标消费者群体,并对7P营销理论框架——包括产品、价格、推广、渠道、人员、流程和实物证据——进行了全面的审视和探讨。通过详尽的市场分析,本文揭示了越南传奇在中国市场上的策略选择背后的复杂性。研究表明,越南传奇在切入中国多元化的消费者市场时,不仅识别了具有高利润潜力的市场细分,而且在竞争激烈的市场环境中实施了有效的品牌定位策略。研究通过详细分析包括产品创新、价格策略、渠道管理、推广活动、服务人员的培训、业务流程优化以及强化实物证据在内的营销组合要素,进一步阐述了越南传奇为巩固及扩大其在中国咖啡市场中的地位所采取的具体行动和策略。此外,本研究采用创新的方法,通过实施调查问卷收集了一手数据,这些数据直接反映了中国消费者对于越南传奇产品的认知、偏好和购买行为。基于调查结果的数据分析不仅验证了研究的理论框架,还为越南传奇在中国市场上进一步优化其营销策略提供了实用的建议和深入的见解。综上所述,本文贡献于深化我们对国际营销策略复杂性的理解,特别是在研究越南传奇品牌进军中国市场的过程中。通过结合理论分析、实证研究和策略实施的实际成果,本研究不仅为学术界提供了新的研究视角,也为业界专业人士和政策制定者提供了宝贵的策略指导和决策支持,进而丰富了全球营销战略及跨文化消费行为研究的学术讨论。

关键词：中原传奇越南咖啡中国咖啡市场营销策略

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Combining Entropy Optimization and Sobel Operator for Medical Image Fusion

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Computer Systems Science & Engineering 2023年第1期44卷 535-544页

作者： nguyen Tu Trung tran thi Ngan tran Manh Tuan To Huu nguyen Faculty of Computer Science and Engineering Thuyloi University175 Tay SonDong DaHanoi010000Vietnam University of Information and Communication Technology Thai Nguyen UniversityThai Nguyen240000Vietnam

Fusing medical images is a topic of interest in processing medical *** is achieved to through fusing information from multimodality images for the purpose of increasing the clinical diagnosis *** fusion aims to improve the image quality and preserve the specific *** methods of medical image fusion generally use knowledge in many differentfields such as clinical medicine,computer vision,digital imaging,machine learning,pattern recognition to fuse different medical *** are two main approaches in fusing image,including spatial domain approach and transform domain *** paper proposes a new algorithm to fusion multimodal *** algorithm is based on Entropy optimization and the Sobel *** transform is used to split the input images into components over the low and high frequency ***,two fusion rules are used for obtaining the fusing *** rule,based on the Sobel operator,is used for high frequency *** second rule,based on Entropy optimization by using Particle Swarm Optimization(PSO)algorithm,is used for low frequency *** algorithm is implemented on the images related to central nervous system *** experimental results of the paper show that the proposed algorithm is better than some recent methods in term of brightness level,the contrast,the entropy,the gradient and visual informationfidelity for fusion(VIFF),Feature Mutual Information(FMI)indices.

关键词： Medical image fusion wavelet entropy optimization PSO Sobel operator

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Object Detection in Remote Sensing Images Using Picture Fuzzy Clustering and MapReduce

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Computer Systems Science & Engineering 2022年第12期43卷 1241-1253页

作者： tran Manh Tuan tran thi Ngan nguyen Tu Trung Faculty of Computer Science and Engineering Thuyloi University175 Tay SonDong DaHanoi010000Vietnam

In image processing, one of the most important steps is image segmentation. The objects in remote sensing images often have to be detected in order toperform next steps in image processing. Remote sensing images usually havelarge size and various spatial resolutions. Thus, detecting objects in remote sensing images is very complicated. In this paper, we develop a model to detectobjects in remote sensing images based on the combination of picture fuzzy clustering and MapReduce method (denoted as MPFC). Firstly, picture fuzzy clustering is applied to segment the input images. Then, MapReduce is used to reducethe runtime with the guarantee of quality. To convert data for MapReduce processing, two new procedures are introduced, including Map_PFC and Reduce_*** formal representation and details of two these procedures are presented in thispaper. The experiments on satellite image and remote sensing image datasets aregiven to evaluate proposed model. Validity indices and time consuming are usedto compare proposed model to picture fuzzy clustering model. The values ofvalidity indices show that picture fuzzy clustering integrated to MapReduce getsbetter quality of segmentation than using picture fuzzy clustering only. Moreover,on two selected image datasets, the run time of MPFC model is much less thanthat of picture fuzzy clustering.

关键词： Remote sensing images picture fuzzy clustering image segmentation object detection MapReduce

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Orange G degradation by heterogeneous peroxymonosulfate activation based on magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid

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Journal of Environmental Sciences 2023年第2期124卷 379-396页

作者： Le thi thao To Van nguyen Van Quy nguyen Ngoc Man Phan Ki Jae Kim nguyen Nhat Huy nguyen Trung Dung Faculty of Physical and Chemical Engineering Le Quy Don Technical UniversityHanoi 100000Vietnam Department of Energy Engineering Konkuk UniversitySeoul 05029Korea School of Chemical Engineering College of EngineeringSungkyunkwan UniversityJangan-guSuwon 16419Korea Faculty of Environment and Natural Resources Ho Chi Minh City University of Technology(HCMUT)Ho Chi Minh City 700000Vietnam Vietnam National University Ho Chi Minh City Linh Trung WardThu Duc CityHo Chi Minh City 700000Vietnam

Wastewater containing an azo dye Orange G(OG)causes massive environmental pollution,thus it is critical to develop a highly effective,environmental-friendly,and reusable catalyst in peroxymonosulfate(PMS)activation for OG *** this work,we successfully applied a magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid fabricated by a simple hydrothermal method for OG removal in *** characteristics of the hybrid were investigated by Xray diffraction,scanning electron microscopy,energy-dispersive X-ray spectroscopy,Fourier transform infrared spectroscopy,Brunauer–Emmett–Teller method,vibrating sample magnetometry,electron paramagnetic resonance,thermogravimetric analysis,and X-ray photoelectron *** effects of operational parameters(i.e.,catalytic system,catalytic dose,solution pH,and temperature)were *** results exhibited that 96.8% of OG degradation was obtained with MnFe_(2)O_(4)/α-MnO2(1:9)/PMS system in 30 min regardless of solution pH ***,the possible reaction mechanism of the coupling system was proposed,and the degradation intermediates of OG were identified by mass *** radical quenching experiments and EPR tests demonstrated that SO_(4)•̶,O_(2)•̶,and 1O2 were the primary reactive oxygen species responsible for the OG *** hybrid also displayed unusual stability with less than 30%loss in the OG removal after four sequential ***,magnetic MnFe2O4/α-MnO2 hybrid could be used as a high potential activator of PMS to remove orange G and maybe other dyes from wastewater.

关键词： MnFe_(2)O_(4)/α-MnO_(2) Peroxymonosulfate Orange G Catalytic degradation Reusability

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A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area

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Big Earth Data 2023年第4期7卷 1005-1034页

作者： Thanh Trinh Binh Thanh Luu trang Ha thi Le Duong Huy nguyen Trong Van tran thi Hai Van nguyen Khanh Quoc nguyen Lien thi nguyen Faculty of Computer Science Phenikaa UniversityYen NghiaHa DongHanoi 12116Vietnam Phenikaa Research and Technology Institute(PRATI) A&A Green Phoenix Group JSCNo.167 Hoang NganTrung HoaCau GiayHanoi 11313Vietnam Northwestern Geological Division General Department of Geology and Minerals of VietnamHanoiVietnam Youth union office Thuyloi University175 Tay SonDong DaHanoiVietnam Center of Remote Sensing and Geohazards Vietnam Institute of Geosciences and Mineral ResourcesHanoiVietnam

Landslide susceptibility maps (LSMs) are very crucial for planningpolicies in hazardous areas. However, the accuracy and reliability ofLSMs depend on available data and the selection of suitable *** study is conducted to produce LSMs by combinations of machinelearning methods and weighting techniques for Ha Giang province,Vietnam, where has limited data. In study area, we gather 11 landslideconditioning factors and establish a landslide inventory *** the weights of classes (or factors) is very important toprepare data for machine learning methods to generate LSMs. Wefrst use frequency ratio (FR) and analytic hierarchy process (AHP)techniques to generate the weights. Then, random forest (RF), supportvector machine (SVM), logistic regression (LR), and AHP methods arecombined with FR and AHP weights to yield accurate and reliableLSMs. Finally, the performance of these methods is evaluated by fivestatistical metrics, ROC and R-index. The empirical results have shownthat RF is the best method in terms of R-index and the five metrics, *** rate (0.9661), FP rate (0.0), ACC (0.9835), MAE (0.0046), and RMSE(0.0350) for this study area. this study opens the perspective of weightbasedmachine learning methods for landslide susceptibility mapping.

关键词： Landslide logistic regression random forest SvM Vietnam

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