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Integrating the valence theory and the norm activation theory to understand consumers’ e-waste recycling intention

Chinese Journal of Population,Resources and Environment 2023年第1期21卷 26-36页

作者： Hong Thi thu nguyen University of Science and Education The University of DanangLe Duan RoadDanang 550000Vietnam

Electrical and electronic waste(e-waste)is a growing challenge,matching the widespread boom in the use of information and communication *** to an alarming increasing amount of e-waste,a low rate of consumer engagement in ensuring the proper disposal of such materials intensifies the pressure on the exist‐ing e-waste *** deal with this thorny problem,it is of great interest to grasp consumers’disposal and re‐cycling behavioral ***,this study attempts to understand complementary perspectives around consumers’e-waste recycling intention based on the integration of the valence theory and the norm activation *** data mining models using classification and prediction-based algorithms,namely Chi squared automatic interaction detector(CHAID),Neural network,Discriminant analysis,and Quick,unbiased,efficient statistical tree(QUEST),were employed to analyze a set of the 398 data collected in *** re‐sults revealed that the social support value is by far the most critical predictor,followed by the utilitarian value,task difficulty,and monetary *** is also noteworthy that the awareness of consequences,education background,the ascription of responsibility,and age were also ranked as critical affecting *** lowest influential predictors found in this study were income and *** addition,a comparison was made in terms of the classification performance of the four utilized data mining *** on several evalua‐tion measurements(confusion matrix,accuracy,precision,recall,specificity,F-measure,ROC curve,and AUC),the aggregated results suggested that CHAID and Neural network performed the *** findings of this research are expected to assist policymakers and future researchers in updating all information surround‐ing consumer behavioral intention-related topics focusing on ***,the adoption of data min‐ing algorithms for prediction is another insight of this study,which may shed the light o

关键词： CHAID Discriminant analysis E-waste recycling intention Neural network Norm activation theory QUEST Sustainable development goals Valence theory

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Novel Soft ComputingModel for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on the Bagging and Sibling of Extra Trees Models

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Computer Modeling in Engineering & Sciences 2023年第3期134卷 2227-2246页

作者： quang-Hieu Tran Hoang nguyen Xuan-Nam Bui Department of Surface Mining Mining FacultyHanoi University of Mining and GeologyHanoi100000Vietnam Innovations for Sustainable and Responsible Mining(ISRM)Research Group Hanoi University of Mining and GeologyHanoi100000Vietnam

This study considered and predicted blast-induced ground vibration(PPV)in open-pit mines using bagging and sibling techniques under the rigorous combination of machine learning ***,four machine learning algorithms,including support vector regression(SVR),extra trees(ExTree),K-nearest neighbors(KNN),and decision tree regression(DTR),were used as the base models for the purposes of combination and PPV initial *** bagging regressor(BA)was then applied to combine these base models with the efforts of variance reduction,overfitting elimination,and generating more robust predictive models,abbreviated as BA-ExTree,BAKNN,BA-SVR,and *** is emphasized that the ExTree model has not been considered for predicting blastinduced ground vibration before,and the bagging of ExTree is an innovation aiming to improve the accuracy of the inherently ExTree model,as *** addition,two empirical models(i.e.,USBM and Ambraseys)were also treated and compared with the bagging models to gain a comprehensive *** this aim,we collected 300 blasting events with different parameters at the Sin Quyen copper mine(Vietnam),and the produced PPV values were also *** were then compiled as the dataset to develop the PPV predictive *** results revealed that the bagging models provided better performance than the empirical models,except for the BA-DTR *** those,the BA-ExTree is the best model with the highest accuracy(i.e.,88.8%).Whereas,the empirical models only provided the accuracy from 73.6%–76%.The details of comparisons and assessments were also presented in this study.

关键词： Mine blasting blast-induced ground vibration environmentally friendly blasting peak particle velocity bagging extra trees

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A study implementing real-time PCR to identify Strongyloides species of third-stage larvae in human stool samples from Southern Vietnam

Infectious Medicine

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Infectious Medicine 2023年第3期2卷 229-236页

作者： Le Duc Vinh nguyen Kim Thach Huynh Hong quang Do Nhu Binh Tran Thi Duc Hanh nguyen Minh Toàn nguyen Trung Tuyen nguyen thu Huong Department of Medical Parasitology Pham Ngoc Thach University of MedicineHo Chi Minh City 700000Vietnam Department of Fundamental Chemistry-Biochemistry Pham Ngoc Thach University of MedicineHo Chi Minh City 700000Vietnam Clinical Epidemiology Research Unit Institute of MalariologyParasitologyand Entomology Quy NhonBinh Dinh 55000Vietnam Department of Infectious Disease Military Hospital 103Hanoi 100000Vietnam Department of Epidemiology Hanoi University of Public HealthHanoi 100000Vietnam Department of Microbiology-Parasitology Hanoi University of Public HealthHanoi 100000Vietnam Department of Medicine University of Medicine and PharmacyVietnam National UniversityHanoi100000 Vietnam

Background:Strongyloidiasis,a neglected disease caused by intestinal nematodes of the genus,is endemic to tropical and subtropical areas such as *** methods only identify the genus,while DNA-molecular techniques are susceptible in Strongyloides *** study aims to determine the prevalence of dominant Strongyloides species among the population in Duc Hoa district,Long An,***:A cross-sectional study used 1190 stool specimens collected from July 2017 to November *** samples were transported within 2 h,stored at 2-8℃,and processed within 48 h for microscopy smear and culture at the Laboratory of Medical Parasitology,Pham Ngoc Thach University of Medicine(PNT).Then all positive samples with the above 2 methods were verified by real-time PCR ***-time PCR amplification was conducted at the Laboratory of Molecular Biology,***:Direct microscopy and modified Harada-Mori culture detected Strongyloides *** in 79/1190 sam-ples(6.6%).About 94.2%of the DNA samples were Strongyloides stercoralis,2.9%were co-infections with Strongy-loides ratti and ***,and 2.9%were patients with *** identity of 12/14 sequences was confirmed as *** with a high level of similarity(91.3%-100%)and over 98%for ***:DNA-molecular techniques and sequence analysis are highly suitable for identifying Strongyloides species isolated from stool *** is remarkable evidence of the presence of zoonosis *** disease in human,not just the known *** is likely to result in a certain proportion of people being infected by this animal-borne infectious pathogen.

关键词： Strongyloidiasis Strongyloides stercoralis Strongyloides ratti DNA-molecular techniques

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Fuzzy Decision Model: Evaluating and Selecting Open Banking Business Partners

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Computers, Materials & Continua 2022年第9期72卷 4557-4570页

作者： Ngo quang Trung nguyen Van Thanh nguyen Viet Tinh Syed Tam Husain Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

The finance supply chain has always been a different supply chain compared to product supply chain being a service supply *** Banking(OB)is one of the most important milestones since the beginning of financial technology innovation and service supply *** these are activities provided by traditional banks,non-bank financial institutions also provide financial service with access to consumer banking,transactional and other financial data to develop financial applications and services tailored to their *** development of financial technology,“Open banking”,promotes financial services to begin this ***,evaluating and selecting open banking business partners from multiple perspectives for banks are ***,the authors in this research proposed a hybrid multicriteria decision-making model which includes a Spherical Fuzzy Analytical Hierarchy Process(SF-AHP)model and a Multi-Attributive Ideal-Real Comparative Analysis(MAIRCA)model with supports from seasoned domain *** contribution of this research is a proposition of a fuzzy decision model for evaluating and selecting open banking business *** model successfully determined a suitable open bank provider in order to assist decision makers decide objectively.

关键词： Open banking MCDM SF-AHP MAIRCA fuzzy theory

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Emotion Recognition with Capsule Neural Network

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Computer Systems Science & Engineering 2022年第6期41卷 1083-1098页

作者： Loan Trinh Van quang H.nguyen thuy Dao Thi Le School of Information and Communication Technology Hanoi University of Science and TechnologyHanoi10000Vietnam Faculty of Information Technology University of Transport and CommunicationsHanoi10000Vietnam

For human-machine communication to be as effective as human-tohuman communication, research on speech emotion recognition is *** the models and the classifiers used to recognize emotions, neural networks appear to be promising due to the network’s ability to learn and the diversity in configuration. Following the convolutional neural network, a capsuleneural network (CapsNet) with inputs and outputs that are not scalar quantitiesbut vectors allows the network to determine the part-whole relationships thatare specific 6 for an object. This paper performs speech emotion recognition basedon CapsNet. The corpora for speech emotion recognition have been augmented byadding white noise and changing voices. The feature parameters of the recognition system input are mel spectrum images along with the characteristics of thesound source, vocal tract and prosody. For the German emotional corpus EMODB, the average accuracy score for 4 emotions, neutral, boredom, anger and happiness, is 99.69%. For Vietnamese emotional corpus BKEmo, this score is94.23% for 4 emotions, neutral, sadness, anger and happiness. The accuracy scoreis highest when combining all the above feature parameters, and this scoreincreases significantly when combining mel spectrum images with the featuresdirectly related to the fundamental frequency.

关键词： Emotion recognition CapsNet data augmentation mel spectrum image fundamental frequency

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Emotional Vietnamese Speech Synthesis Using Style-Transfer Learning

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Computer Systems Science & Engineering 2023年第2期44卷 1263-1278页

作者： Thanh X.Le An T.Le quang H.nguyen School of Information and Communication Technology Hanoi University of Science and TechnologyHanoi10000Vietnam

In recent years,speech synthesis systems have allowed for the produc-tion of very high-quality ***,research in this domain is now turning to the problem of integrating emotions into ***,the method of con-structing a speech synthesizer for each emotion has some ***,this method often requires an emotional-speech data set with many *** data sets are very time-intensive and labor-intensive to ***,training each of these models requires computers with large computational capabilities and a lot of effort and time for model *** addition,each model for each emotion failed to take advantage of data sets of other *** this paper,we propose a new method to synthesize emotional speech in which the latent expressions of emotions are learned from a small data set of professional actors through a Flow-tron *** addition,we provide a new method to build a speech corpus that is scalable and whose quality is easy to ***,to produce a high-quality speech synthesis model,we used this data set to train the Tacotron 2 *** used it as a pre-trained model to train the Flowtron *** applied this method to synthesize Vietnamese speech with sadness and *** opi-nion score(MOS)assessment results show that MOS is 3.61 for sadness and 3.95 for *** conclusion,the proposed method proves to be more effec-tive for a high degree of automation and fast emotional sentence generation,using a small emotional-speech data set.

关键词： Emotional speech synthesis ﬂowtron speech synthesis style transfer vietnamese speech

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Integrating Machine Learning and Evidential Reasoning for User Profiling and Recommendation

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Journal of Systems Science and Systems Engineering 2023年第4期32卷 393-412页

作者： Toan nguyen Mau quang-Hung Le Duc-Vinh Vo Duy Doan Van-Nam Huynh University of Information Technology Ho Chi Minh CityVietnam Vietnam National University Ho Chi Minh CityVietnam Department of Information Technology Quy Nhon UniversityQuy NhonVietnam Ho Chi Minh City University of Banking Ho Chi Minh CityVietnam School of Knowledge Science Japan Advanced Institute of Science and TechnologyIshikawaJapan

User profiles representing users’preferences and interests play an important role in many applications of personalized *** the rapid growth of social platforms,there is a critical need for efficient solutions to learn user profiles from the information they shared on social platforms so as to improve the quality of recommendation *** problem of user profile learning is significantly challenging due to difficulty in handling data from multiple sources,in different formats and often associated with *** this paper,we introduce an integrated approach that combines advanced Machine Learning techniques with evidential reasoning based on Dempster-Shafer theory of evidence for user profiling and *** developed methods for user profile learning and multi-criteria collaborative filtering are demonstrated with experimental results and analysis that show the effectiveness and practicality of the integrated approach.A proposal for extending multi-criteria recommendation systems by incorporating user profiles learned from different sources of data into the recommendation process so as to provide better recommendation capabilities is also highlighted.

关键词： Machine learning Dempster-Shafer theory of evidence user profiles personalized recommendation preferences

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Twin reversed arterial perfusion sequence-a rare and dangerous complication form of monochorionic twins:A case report

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World Journal of Clinical Cases 2022年第28期10卷 10214-10219页

作者： nguyen Duy Anh nguyen-Thi thu Ha nguyen-Thi Sim nguyen Khac Toan Phan-Thi Huyen thuong nguyen Minh Duc Fetal Medicine Center Hanoi Obstetrics and Gynecology HospitalHanoi 100000Vietnam Department of Assisted Reproduction Hanoi Obstetrics and Gynecology HospitalHanoi 100000Vietnam Department of Obstetrics and Gynecology Hanoi University of Medicine and PharmacyHanoi 100000Vietnam Department of Radiology Pham Ngoc Thach University of MedicineHo Chi Minh City 700000Vietnam

BACKGROUND Twin reversed arterial perfusion(TRAP) sequence is an extremely rare congenital anomaly in monochorionic(MC) *** condition is characterized by a malformed fetus(acardiac twin) without cardiac activities being perfused by a structurally normal one(pump twin) via an artery-to-artery anastomosis in a reverse *** SUMMARY We described the first case of TRAP to receive laser surgery in *** 26-wk pregnancy was originally misdiagnosed in another hospital as MC twins with single intrauterine fetal *** admission to our center,the diagnosis was amended to a 26-wk TRAP sequence stage *** acardiac twin was 7.5 cm at the longest length,the ratio of the weight of the acardiac twin to the weight of the pump twin was more than 90%,the pump twin showed fetal distress with absent diastolic flow in umbilical artery of pump twin,and the peak systolic velocity in the middle cerebral artery = 1.6 Mo *** performed emergency laser photocoagulation of the acardiac twin’s umbilical *** surgery,we successfully maintained the pregnancy for 8 wk and ended it electively by cesarean section at 34 wk of gestation due to rupture of *** TRAP should be appropriately diagnosed and treated early to avoid complications of the pump *** laser photocoagulation is a new and effective treatment for this condition.

关键词： Twin reversed arterial perfusion Acardiac twin Pump twin Laser Case report

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Advances in haemostatic sponges: Characteristics and the underlying mechanisms for rapid haemostasis

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Bioactive Materials 2023年第9期27卷 231-256页

作者： Akriti Nepal Huong D.N.Tran Nam-Trung nguyen Hang thu Ta Queensland Micro-and Nanotechnology Centre Griffith UniversityNathanQueensland4111Australia Australian Institute for Bioengineering and Nanotechnology University of QueenslandSt LuciaQueensland4072Australia Bioscience Discipline School of Environment and ScienceGriffith UniversityNathanQueensland4111Australia

In traumatized patients, the primary cause of mortality is uncontrollable continuous bleeding and unexpected intraoperative bleeding which is likely to increase the risk of complications and surgical failure. High expansion sponges are effective clinical practice for the treatment of wound bleeding (irregular/deep/narrow) that are caused by capillaries, veins and even arterioles as they possess a high liquid absorption ratio so can absorb blood platelets easily in comparison with traditional haemostasis treatments, which involve compression, ligation, or electrical coagulation etc. When in contact with blood, haemostatic sponges can cause platelet adhesion, aggregation, and thrombosis, preventing blood from flowing out from wounds, triggering the release of coagulation factors, causing the blood to form a stable polymerized fibre protein, forming blood clots, and achieving the goal of wound bleeding control. Haemostatic sponges are found in a variety of shapes and sizes. The aim of this review is to facilitate an overview of recent research around haemostatic sponge materials, products, and technology. This paper reviews the synthesis, properties, and characteristics of haemostatic sponges, together with the haemostasis mechanisms of haemostatic sponges (composite materials), such as chitosan, cellulose, gelatin, starch, graphene oxide, hyaluronic acid, alginate, polyethylene glycol, silk fibroin, synthetic polymers silver nanoparticles, zinc oxide nanoparticles, mesoporous silica nanoparticles, and silica nanoparticles. Also, this paper reviews commercial sponges and their properties. In addition to this, we discuss various in-vitro/in-vivo approaches for the evaluation of the effect of sponges on haemostasis .

关键词： Haemostatic sponge Characteristics Mechanism Haemostasis Nanoparticles

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Patterns of sperm use by twice-mated female Queensland fruit flies

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Insect Science 2022年第4期29卷 1159-1169页

作者： Jason Shadmany Siu F.Lee thu N.M.nguyen Phillip W.Taylor Applied BioSciences Macquarie UniversityNorth RydeNSWAustralia CSIRO Land and Water Black MountainACTAustralia School of BioSciences University of MelbourneParkvilleVictoriaAustralia

Multiple mating by females,polyandry,is common in insects,including in tephritid fruit *** insects that remate commonly store sperm of multiple *** the sperm of different males contribute to paternity is an important element of sexual *** behavior and reproduction of the Queensland fruit fly(Qfly),Bactrocera tryoni,has been extensively investigated both in relation to understanding this economically important species’reproductive biology and in relation to implications for Sterile Insect Technique(SIT),whereby sterile flies are released to constrain reproduction of pest *** numerous studies of pre-and postcopulatory sexual selection in Qfly,there have been no direct studies of paternity patterns in polyandrous female *** used two morphologically distinguishable lines to investigate patterns of sperm use in *** two lines showed comparable mating performance evidenced by similar mating and remating frequency,copula duration,and proportion of second mate paternity(P2)between reciprocal *** mechanism of sperm usage,with P2 close to 0.5 immediately after the second mating followed by gradual decrease of P2 as females aged,is most consistent with stratification or repositioning of *** observed in the present study are compared with the available information from other tephritid fruit flies,and are discussed in relation to this species’reproductive biology,known patterns of sperm storage,and SIT.

关键词： muliple mating polyandry sperm competition sperm pecedence Tephritidac

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