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Rapid and efficient characterization of cervical collagen orientation using linearly polarized colposcopic images

Journal of Innovative Optical Health Sciences 2023年第5期16卷 21-31页

作者： Cat Phan Ngoc Khuong Dung nguyen Huu quang Hai Pham Thanh Long nguyen Quynh nguyen Ngoc Duc Le Huynh Tien Tran Van Tu Ly Anh Department of Applied Physics Ho Chi Minh City University of Technology 268 Ly Thuong Kiet Street District 10 Ho Chi Minh City 700000Vietnam Quality Management Department Tu Du Hospital 284 Cong QuynhDistrict 1 Ho Chi Minh City 700000Vietnam Department of Biomedical Engineering nguyen Tat Thanh University 300A Nguyen Tat Thanh District 4Ho Chi Minh City 700000Vietnam Faculty of Science and Technology Jean Monnet University 11 Rue du Docteur Annino Saint Etienne 42000France

Collagen provides tissue strength and structural *** fication of the orientated dispersion of collagen fibers is an important factor when studying the mechanical properties of the *** this study,for the first time,a new method for rapid characterization of the collagen fiber orientations of the cervix using linearly polarized light colposcopy is presented.A total of 24 colposcopic images were captured using a cross-polarized imaging system with white LED light *** the preprocessing stage,the Red channel of the RGB image was chosen,which contains no information of the blood vessels because of the low-absorption of blood cells in the red ***,which is an ImageJ plug-in,was used to estimate the local orientation of the collagen *** result shows that in the nonpregnant cervix,the middle zone(Zone 2)has circumferentially aligned collagen fibers while the inner zone(Zone 1)has randomly *** collagen fiber dispersion in Zone 2 is much smaller than that in Zone 1 at all four quadrants region(anterior,posterior,left,and right quadrant).This new analysis technique could potentially combine with diagnostic tools to provide a quantitative platform of collagen fibers in the clinic.

关键词： Cervix collagen fibers collagen orientation coherency cross-polarized imaging colposcopy

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Scheduling Flexible Flow Shop in Labeling Companies to Minimize the Makespan

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Computer Systems Science & Engineering 2022年第1期40卷 17-36页

作者： Chia-Nan Wang Hsien-Pin Hsu Hsin-Pin Fu nguyen Ky phuc Phan Van Thanh nguyen Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Department of Supply Chain Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Department of Marketing and Distribution Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Faculty of Industrial Engineering and Management International UniversityHo Chi Minh City70000Vietnam Faculty of Commerce Van Lang UniversityHo Chi Minh City723000Vietnam

In the competitive global marketplace,production scheduling plays a vital role in planning in *** deals directly with the time to output products quickly and with a low production *** research examines case study of a Radio-Frequency Identification labeling department at Avery *** main objective of the company is to have a method that allows for the sequencing and scheduling of a set of jobs so it can be completed on or before the customer’s due date to minimize the number of late *** study analyzes the flexible flow shop scheduling problem with a sequence dependent setup by modifying the processing time and setup time to minimize the makespan on multiple *** on the defined mathematical model,this study includes an alternative approach and application of heuristic algorithm with the input being big *** optimization programs are used in this study and compared to determine which method can better solve the company’s *** proposed algorithm is able to improve machine utilization with large-scale problems.

关键词： Scheduling flexibleflowshop sequencedependentsetup just-in-time

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Target tracking method of Siamese networks based on the broad learning system

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CAAI Transactions on Intelligence Technology 2023年第3期8卷 1043-1057页

作者： Dan Zhang C.L.Philip Chen Tieshan Li Yi Zuo nguyen quang Duy Navigation College Dalian Maritime UniversityDalianChina Innovation and Entrepreneurship Education College Dalian Minzu UniversityDalianChina Computer Science and Engineering College South China University of TechnologyGuangzhouChina Department of Computer and Information Science Faculty of Science and TechnologyUniversity of MacaoMacaoChina School of Automation Engineering University of Electronic Science and Technology of ChinaChengduChina Faculty of Navigation Vietnam Maritime UniversityHaiphongVietnam

Target tracking has a wide range of applications in intelligent transportation,real‐time monitoring,human‐computer interaction and other ***,in the tracking process,the target is prone to deformation,occlusion,loss,scale variation,background clutter,illumination variation,etc.,which bring great challenges to realize accurate and real‐time *** based on Siamese networks promotes the application of deep learning in the field of target tracking,ensuring both accuracy and real‐time ***,due to its offline training,it is difficult to deal with the fast motion,serious occlusion,loss and deformation of the target during ***,it is very helpful to improve the performance of the Siamese networks by learning new features of the target quickly and updating the target position in time *** broad learning system(BLS)has a simple network structure,high learning efficiency,and strong feature learning *** at the problems of Siamese networks and the characteristics of BLS,a target tracking method based on BLS is *** method combines offline training with fast online learning of new features,which not only adopts the powerful feature representation ability of deep learning,but also skillfully uses the BLS for re‐learning and re‐*** broad re‐learning information is used for re‐detection when the target tracking appears serious occlusion and so on,so as to change the selection of the Siamese networks search area,solve the problem that the search range cannot meet the fast motion of the target,and improve the *** results show that the proposed method achieves good results on three challenging datasets and improves the performance of the basic algorithm in difficult scenarios.

关键词： broad learning system siamese network target tracking

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Adaptive Controller Design for Dynamic Maneuvers of High Speed Underwater Vehicles

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China Ocean Engineering 2022年第2期36卷 311-321页

作者： Bui Duc Hong phuc Sam-Sang YOU phuc Thinh DOAN Sang-Do LEE Department of Mechanical Engineering The University of TulsaTulsaOK 74104USA Division of Mechanical Engineering Korea Maritime and Ocean UniversityBusan 49112Republic of Korea Institute of Interdisciplinary Social Sciences Nguyen Tat Thanh UniversityHo Chi Minh CityVietnam Division of Navigation and Information System Mokpo National Maritime UniversityMokpoJeollanam-do 58628Republic of Korea

The control synthesis of the high-speed underwater vehicle faces many technical challenges due to its inherent structure and surrounding operational *** this paper,the dynamical behavior is firstly described through a bifurcation analysis to give some insights for robust control *** a novel adaptive fractional-order sliding mode controller(AFOSMC)is realized to effectively manipulate the supercavitating vehicle against payload changes,nonlinear planing force,and external *** fractional order(FO)calculus can offer more flexibility and more freedom for tuning active control synthesis than the integer-order *** addition,the adaptation law has been presented to directly handle the payload change *** stability of the controlled vehicle system is proven via Lyapunov stability ***,the dynamic performance of the proposed controller is verified through extensive simulation results,which demonstrate the control accuracy with faster responses compared with existing integer-order ***,the proposed fractional order controllers can provide higher performance than their integer order counterparts with control algorithms.

关键词： fractional order calculus supercavitating underwater vehicles planing force payload change adaptive sliding mode control

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

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Frontiers of Structural and Civil Engineering 2023年第5期17卷 812-826页

作者： Long Hoang nguyen Dung quang VU Duc Dam nguyen Fazal E.JALAL Mudassir IQBAL Vinh The DANG Hiep Van LE Indra PRAKASH Binh Thai PHAM Faculty of Civil Engineering University of Transport TechnologyHanoi 10000Vietnam Department of Civil Engineering State Key Laboratory of Ocean EngineeringShanghai Jiao Tong UniversityShanghai 200025China Department of Civil Engineering University of Engineering and TechnologyPeshawar 25120Pakistan DDG(R)Geological Survey of India Gandhinagar 382010India

A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements,such as the modulus of the subgrade reaction(Y1)and the elastic modulus of the slab(Y2),which are crucial for assessing the structural strength of *** this study,we developed a novel hybrid artificial intelligence model,i.e.,a genetic algorithm(GA)-optimized adaptive neuro-fuzzy inference system(ANFIS-GA),to predict Y1 and Y2 based on easily determined 13 parameters of rigid *** performance of the novel ANFIS-GA model was compared to that of other benchmark models,namely logistic regression(LR)and radial basis function regression(RBFR)*** models were validated using standard statistical measures,namely,the coefficient of correlation(R),mean absolute error(MAE),and root mean square error(RMSE).The results indicated that the ANFIS-GA model was the best at predicting Y1(R=0.945)and Y2(R=0.887)compared to the LR and RBFR ***,the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters for the appropriate and rapid assessment of the quality and strength of pavements.

关键词： falling weight deflectometer modulus of subgrade reaction elastic modulus metaheuristic algorithms

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One-step hydrothermal synthesis of Sn-doped α-Fe_(2)O_(3) nanoparticles for enhanced photocatalytic degradation of Congo red

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Journal of Semiconductors 2022年第12期43卷 22-31页

作者： Van Nang Lam Thi Bich Vu quang Dat Do Thi Thanh Xuan Le Tien Dai nguyen T-Thanh-Bao nguyen Hoang Tung Do Thi Tu Oanh nguyen Department of Natural Sciences Hoa Lu UniversityNinh NhatNinh Binh CityViet Nam Institute of Theoretical and Applied Research Duy Tan UniversityHanoi 100000Viet Nam Faculty of Natural Sciences Duy Tan UniversityDa Nang 550000Vietnam Institute of Physics Vietnam Academy of Science and Technology10 Dao TanBa DinhHanoiVietnam Institute of Materials Science Vietnam Academy of Science and Technology18 Hoang Quoc VietCaugiayHanoiVietnam

We report on the synthesis of Sn-doped hematite nanoparticles(Sn-α-Fe_(2)O_(3) NPs)by the hydrothermal *** prepared Sn-α-Fe_(2)O_(3) NPs had a highly pure and well crystalline rhombohedral phase with an average particle size of 41.4 *** optical properties of as-synthesizedα-Fe_(2)O_(3) NPs show a higher bandgap energy(2.40-2.57 eV)than that of pure bulkα-Fe_(2)O_(3)(2.1 eV).By doping Sn intoα-Fe_(2)O_(3) NPs,the Sn-doped hematite was observed a redshift toward a long wavelength with in-creasing Sn concentration from 0%to 4.0%.The photocatalytic activity of Sn-dopedα-Fe_(2)O_(3) NPs was evaluated by Congo red(CR)dye *** degradation efficiency of CR dye using Sn-α-Fe_(2)O_(3) NPs catalyst is higher than that of pureα-Fe_(2)O_(3) *** highest degradation efficiency of CR dye was 97.8%using 2.5%Sn-dopedα-Fe_(2)O_(3) NPs catalyst under visible-light *** results suggest that the synthesized Sn-dopedα-Fe_(2)O_(3) nanoparticles might be a suitable approach to develop a photocatalytic degradation of toxic inorganic dye in wastewater.

关键词： α-Fe_(2)O_(3)nanoparticles Sn Congo red photocatalytic properties photodegradation

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Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

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Frontiers of Structural and Civil Engineering 2022年第8期16卷 1003-1016页

作者： Dung quang VU Fazal EJALAL Mudassir IQBAL Dam Duc nguyen Duong Kien TRONG Indra PRAKASH Binh Thai PHAM University of Transport Technology Hanoi 100000Vietnam Department of Civil Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Civil Engineering University of Engineering and TechnologyPeshawar 25120Pakistan DDG(R)Geological Survey of India Gandhinagar 382010India

In this study,we developed novel hybrid models namely Adaptive Neuro Fuzzy Inference System(ANFIS)optimized by Shuffled Complex Evolution(SCE)on the one hand and ANFIS with Artificial Bee Colony(ABC)on the other *** were used to predict compressive strength(Cs)of concrete relating to thirteen concrete-strength affecting parameters which are easy to determine in the *** and laboratory tests data of 108 structural elements of 18 concrete bridges of the Ha Long-Van Don Expressway,Vietnam were *** dataset was randomly divided into a 70:30 ratio,for training(70%)and testing(30%)of the hybrid *** of the developed fuzzy metaheuristic models was evaluated using standard statistical metrics:Correlation Coefficient(R),Root Mean Square Error(RMSE)and Mean Absolute Error(MAE).The results showed that both of the novel models depict close agreement between experimental and predicted ***,the ANFIS-ABC model reflected better convergence of the results and better performance compared to that of ANFIS-SCE in the prediction of the concrete ***,the ANFIS-ABC model can be used for the quick and accurate estimation of compressive strength of concrete based on easily determined parameters for the design of civil engineering structures including bridges.

关键词： shuffled complex evolution artificial bee colony ANFIS concrete compressive strength Vietnam

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Antibiotic usage in surgical sperm retrievals among IVF centers

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Asian Journal of Andrology 2022年第6期24卷 633-638页

作者： Le Dang Khoa Ngo Dinh Trieu Vy nguyen Minh Tai Loc Le Duc Thang Dang Tuan Anh nguyen phuc Hieu Giang Huynh Nhu nguyen Dinh Tao Le Hoang David J Handelsman IVFTA Tam Anh General HospitalHo Chi Minh 700000Vietnam IVFTA Tam Anh General HospitalHa Noi 100000Vietnam IVF Center 16A Ha Dong HospitalHa Noi 100000Vietnam ANZAC Research Institute University of Sydney and Concord Repatriation General HospitalHospital RoadConcordNSW 2139Australia

Surgical sperm retrieval(SSR)is currently one of the most common procedures in in vitro fertilization(IVF).However,a gap between the guidelines and routine clinical practice regarding antibiotic use in sSR,which might lead to antibiotic resistance,is a challenging problem worldwide.A cross-sectional survey was conducted from May 1,2021,to July 15,2021,to investigate antibiotic usage by medical professionals when performing SSR in IVF centers in *** confidential questionnaire comprised 12 items,including characteristics of the study population,awareness of antimicrobial resistance,attitude toward prescribing antibiotics,and current practice of prescribing antibiotics when performing *** were completed by 30 of 45 registered IVF centers(66.7%).Among 67 physicians working at those centers,the age and work-experience years(mean±standard deviation[s.d.])were 38.6±6.6 years and 11.2±7.0 years,*** 60%of them held a degree in Obstetrics and Gynecology,and over four-fifths were *** respondents"often/very often/always"raised awareness of antimicrobial resistance to their patients(83.3%),but only half of them"often/occasionally"prescribed antibiotics to patients with SSR in cases where the prescription would be *** one-tenth of respondents followed the recommendation from the American Urological Association using"prophylaxis only"for SSR *** more invasive SSR,physicians tended to prescribe more complicated and sometimes inappropriate *** conclusion,antibiotic usage in SSR was not always appropriate among IVF *** studies may define specific recommendations for regimens,intervention strategies,and programs to promote appropriate antibiotic use for SSR patients among IVF specialists.

关键词： antibiotic usage in vitro fertilization prophylaxis surgical sperm retrieval treatment

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新冠疫情时期在线汉语教学状况——以越南黄文树高中为例

新冠疫情时期在线汉语教学状况——以越南黄文树高中为例

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作者： PHAM quang phuc（范光福）西南大学

学位级别：硕士

新冠疫情的爆发,使得在线教学以一种强势的姿态,取代线下课程进入了全球的教学领域,越南也是如此,疫情过后,虽然越南已经恢复了传统的线下课堂教学,但是线上教学在进行的两三年间,对整个教育教学方式的影响依然在持续,它使得更多的人开... 详细信息

新冠疫情的爆发,使得在线教学以一种强势的姿态,取代线下课程进入了全球的教学领域,越南也是如此,疫情过后,虽然越南已经恢复了传统的线下课堂教学,但是线上教学在进行的两三年间,对整个教育教学方式的影响依然在持续,它使得更多的人开始关注互联网融入教学,倒逼教学方式进行改革,教学理念进行更新,从而提高教学效率,激发学生学习兴趣。汉语作为一门强势的外语学科,在越南的各个教育阶段都受到极大的重视,语言教学有其独特性,要求课堂多互动、多联系、多应用,在线汉语教学的开展为越南的汉语教学开拓的新的思路和合作路径,借助与互联网突破空间局限的这个特点,越南汉语教学开始呈现出越来越多的跨区域、跨国际的合作教学趋势,本土的汉语课堂通过互联网链接孔院课堂或者中国课堂的同时,可以突破空间的距离,提高学生学习兴趣,达到更好的教学效果,但是通过对疫情期间的线上汉语教学的调查发现,线上教学在达成语言教学的要求的过程中,存在诸多问题。本文拟通过分析和研究疫情期间越南黄文树高中线上汉语教学中存在的问题,并且提出相应的改进策略,以期为后续的通过线上汉语课堂进行跨区域或者跨国际的进行提供一定的借鉴,提高教学效果,促进越南汉语教学和新的教育技术结合,以及汉语教学的可持续发展。黄文树高中在汉语教育的领域获取了很大的成绩,在越南本土汉语教学领域具有一定的代表性,但在疫情时期,同样也面临巨大的挑战,在线汉语教学解决了学生在疫情时期无法进行课堂学习的问题,成为当时状态下的最优选择。但是线上汉语教学在教学方式、教学资源、学生的学习方式、师生互动和学习环境等等方面都存在一定的问题。本人针对黄文树高中汉语班学习汉语在疫情时期进行研究。希望能通过这次研究发现问题在疫情时期学习汉语,并提出意见能改进,帮助教师和学生,提高学生的学习能力。本论文拟通过过调查黄文树高中的学生、教师疫情时期在线汉语学习和教学情况,了解学生在线汉语学习中的行为、态度,教师线上汉语教学中遇到的困难和存在的问题,提出建议和策略,并且探讨疫情期间的线上汉语教学对疫情后的线下课堂中教师的汉语教学和学生的汉语学习产生的影响,希望后续需要进行的越南本土线上汉语教学能够提前解决曾存在的困难,规避问题,做更周全的准备。本文总共分为六章,第一章是绪论,主要内容是研究缘起,选题意义和研究方法与研究综述;第二章是黄文树汉语教学历史和现状与线上汉语教学现状;第三章是学生在线汉语学习现状;第四章是教师在线汉语学习现状;第五章是学生学习汉语对新冠疫情后的展望;第六章是线上汉语教学存在的问题与不足之处,并提出相应的对策和建议,最后是结语部分。

关键词：新冠疫情在线汉语教学问题与建议影响

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Facile synthesis of FeFe2O4 magnetic nanomaterial for removing methylene blue from aqueous solution

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Progress in Natural Science:Materials International 2019年第6期29卷 648-654页

作者： Van-phuc Dinh Ngoc Quyen Tran nguyen-Que-Tran Le quang-Huy Tran Trinh Duy nguyen Gr EEN), nguyen Tat Thanh University Van Tan Le Future Materials and Devices Laboratory Institute of Fundamental and Applied Sciences Duy Tan University Institute of Applied Materials Science VAST Graduate University of Science and Technology VAST Le Quy Don–LBT Highschool Bien Hoa City Dong Nai province Center of Excellence for Green Energy and Environmental Nanomaterials (CE Industrial University of Ho Chi Minh City

A facile and simple chemical precipitation method was utilized to synthesize FeFe2O4magnetic nanomaterial for removing methylene blue（MB） from aqueous solution. Characterizations of this material were examined by using XRD, SEM, FT-IR, TGA-DTG and BET methods. Factors affecting the uptake of methylene blue, including p H, adsorption time, and MB initial concentration were also studied. The measured data were fitted by using four isotherm models including Langmuir, Freundlich, Sips and Temkin. Results showed that the Sips model offers the best fit to the data. In addition, the monolayer MB adsorption capacity obtained from the Langmuir model was 42.35 mg g-1under the optimal conditions of p H = 10 and adsorption time = 80 min. In particular, the uptake of MB onto FeFe2O4magnetic nanomaterial obtained from the kinetic and mechanism studies of the adsorption was in good agreement with prediction of the pseudo-first-order model, whereas the electrostatic interaction was found to play a primary mechanism.

关键词： FeFe2O4 magnetic nanomaterial Adsorption Methylene blue Adsorption mechanism

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