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Enhancing global hepatocellular carcinoma management:Bridging Eastern and Western perspectives on dexamethasone and Nacetylcysteine before transarterial chemoembolization

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World Journal of Gastroenterology 2024年第47期30卷 4983-4990页

作者： Thang Viet Luong nam van duc nguyen Linh Duy Le Hieu nguyen Hoang Minh Hai nguyen Ngoc Dang Department of Internal Medicine University of Medicine and PharmacyHue UniversityHue 530000Viet Nam Department of Diagnostic Imaging University of Medicine and PharmacyHue UniversityHue 530000Viet Nam Faculty of Medicine Duy Tan UniversityDa Nang 550000Viet Nam

This article explores the integration of Eastern and Western perspectives on the use of dexamethasone and N-acetylcysteine as premedications in transarterial chemoembolization for hepatocellular carcinoma(HCC).By examining key concerns raised by Western researchers,particularly regarding the different etiologies of liver cirrhosis,and contrasting them with robust clinical data from Asia,this article highlights the necessity for region-specific research and proposes future directions for global HCC management.

关键词： Hepatocellular carcinoma Transarterial chemoembolization Dexamethasone N-acetylcysteine East-West perspectives Post-embolization syndrome

Prediction of Shear Bond Strength of Asphalt Concrete Pavement Using Machine Learning Models and Grid Search Optimization Technique

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-Anh Thi Bui Dam duc nguyen Hiep van Le Indra Prakash Binh Thai Pham Civil Engineering Department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double-layer asphalt concrete is crucial in flexible pavement *** study used three Machine Learning(ML)models,including K-Nearest Neighbors(KNN),Extra Trees(ET),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and learning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variables:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variables in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shapley Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in flexible pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine learning

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： duc-Dam nguyen nguyen Viet Tiep Quynh-Anh Thi Bui Hiep van Le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Investigation on cost-effective composites for CO_(2) adsorption from post-gasification residue and metal organic framework

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Journal of Environmental Sciences 2025年第2期148卷 174-187页

作者： Hong nam nguyen Thu Phuong nguyen Phuong Thu Le Quang Minh Tran Thi Hai Do Trung Dung nguyen Phuong Lan Tran-nguyen Toshiki Tsubota Thi Mai Thanh Dinh University of Science and Technology of Hanoi Vietnam Academy of Science and Technology18 Hoang Quoc VietCau GiayHanoi 100000Vietnam Institute for Tropical Technology Vietnam Academy of Science and Technology18 Hoang Quoc VietCau GiayHanoi 100000Vietnam Faculty of Basic Science Hanoi University of Mining and Geology18 Pho VienDuc ThangNam Tu LiemHanoi 100000Vietnam Faculty of Physical and Chemical Engineering Le Quy Don Technical University236 Hoang Quoc VietBac Tu LiemHanoi 100000Vietnam Department of Mechanical Engineering Can Tho University3/2 streetCan Tho City 94000Vietnam Department of Engineering Graduate School of EngineeringKyushu Institute of Technology1-1 SensuichoTobata-kuKitakyushuFukuoka 804-8550Japan

Cost-effective CO_(2) adsorbents are gaining increasing attention as viable solutions for mitigating climate *** this study,composites were synthesized by electrochemically combining the post-gasification residue of Macadamia nut shell with copper benzene-1,3,5-tricarboxylate(CuBTC).Among the different composites synthesized,the ratio of 1:1 between biochar and CuBTC(B 1:1)demonstrated the highest CO_(2) adsorption *** controlled laboratory conditions(0°C,1 bar,without the influence of ambient moisture or CO_(2) diffusion limitations),B 1:1 achieved a CO_(2) adsorption capacity of 9.8 mmol/g,while under industrial-like conditions(25℃,1 bar,taking into account the impact of ambient moisture and CO_(2) diffusion limitations within a bed of adsorbent),it reached 6.2 mmol/*** values surpassed those reported for various advanced CO_(2) adsorbents investigated in previous *** superior performance of the B 1:1 composite can be attributed to the optimization of the number of active sites,porosity,and the preservation of the full physical and chemical surface properties of both ***,the composite exhibited a notable CO_(2)/N_(2) selectivity and improved stability under moisture *** favorable characteristics make B 1:1 a promising candidate for industrial applications.

关键词： Biochar-based composites CO_(2)adsorption CuBTC Metal organic framework Post-gasification residue

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

Predictive value of tacrolimus concentration/dose ratio in first posttransplant week for CYP3A5-polymorphism in kidney-transplant recipients

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World Journal of Transplantation 2025年第2期15卷 197-204页

作者： Pham-Thai Dung Hoang-Xuan Su nguyen-Chi Tue nguyen-Huu Ben nguyen-Minh Phuong Tuan-Ngoc Tran Phan-Ba Nghia Diem-Thi van nguyen Thi-Thuy Dung Hoang-Trung Vinh Lionel Rostaing Pham-Quoc Toan Center of Critical Care Medicine Emergency and Clinical ToxicologyMilitary HospitalHanoï100000Viet Nam Institute of Biomedicine and Pharmacy Vietnam Military Medical UniversityHanoï100000Viet Nam Department of Post-Transplant Intensive Care and Treatment Center of Organ Transplantation-Military HospitalHanoï100000Viet Nam Department of Occupational Medicine Vietnam Military Medical UniversityHanoï100000Viet Nam Department of Military Medical Command and Organization Vietnam Military Medical UniversityHanoï100000Viet Nam Department of Nephrology and Dialysis Military HospitalHanoï100000Viet Nam Department of Nephrology HemodialysisApheresisand Kidney TransplantationGrenoble University HospitalGrenoble 38043Auvergne-Rhone-AlpesFrance

BACKGROUND Tacrolimus(TAC)is metabolized primarily by the CYP3A-encoded enzyme family(CYP3A4,CYP3A5,and CYP3A7).Individuals expressing the CYP3A51 allele are considered fast metabolizers and generally require higher TAC doses to reach therapeutic *** To evaluate the predictive value of the TAC concentration-to-dose(C0/D)ratio for identifying CYP3A5 poly-morphisms in renal transplant *** Eighty-six de novo kidney transplant recipients with TAC-based immunosuppression from the Department of Nephrology and Dialysis at Military Hospital 103(Hanoi,Vietnam)were included in this retrospective *** samples were collected within the first week post-transplantation to monitor TAC levels and to perform genotyping for CYP3A5 genetic *** The CYP3A53/3 genotype was identified in 37 patients(43%),CYP3A51/3 in 40 patients(46.5%),and CYP3A51/1 in 9 patients(10.5%).Patients carrying the CYP3A51/3 or CYP3A51/1 genotype,classified as fast metabolizers(CYP3A5 expressers),had significantly lower TAC C0 concentrations and C0/D ratios compared to slow meta-bolizers(CYP3A53/3 genotype)at multiple time points during follow-up(all Pnam and other low-income countries.

关键词： Tacrolimus CYP3A5 Renal transplant recipient Concentration-to-dose Kidney transplant

Photodiode-Based Chua＇s Circuit with Light Controllability

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Chinese Physics Letters 2014年第6期31卷 24-28页

作者： nam Sang Guk nguyen van Ha SONG Hanjung Department of Nanoseience and Engineering lnje University Gimhae 621-749 Korea Center for Nano Manufacturing Inje University Gimhae 621-749 Korea

We present a photodiode-based Chua＇s chaotic circuit that is controllable by light. The proposed circuit consists of an inductor, two passive capacitors, a photodiode-based variable resistor, and a positive feedback trans- conductor with negative nonlinearity. The chaotic dynamics of the circuit were verified by using the simulation program with integrated circuit emphasis analysis using the 0.35 #m complementary metal-oxide-semiconductor process parameters. The gain results （such as the time waveform~ frequency analysis, three-dimensional attractor, bifurcation and Lyapunov exponents diagrams） confirm that the chaotic behavior of the circuit could be controlled by light intensity via the photodiode-based variable resistor.

关键词： REducED instruction set computers INTEGRATED circuits SEMICONducTOR industry COMPUTER simulation ENERGY storage SEMICONducTOR doping

Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第6期13卷 1452-1465页

作者： Chengyu Xie Hoang nguyen Xuan-nam Bui van-Thieu nguyen Jian Zhou School of Environment and Resources Xiangtan UniversityXiangtan411105China Mining Faculty Hanoi University of Mining and GeologyHanoi100000Viet Nam Innovations for Sustainable and Responsible Mining(ISRM)Group Hanoi University of Mining and GeologyHanoi100000Viet Nam Artificial Intelligence Independent Research Group Hanoi100000Viet Nam School of Resources and Safety Engineering Central South UniversityChangsha410083China

Due to the rapid industrialization and the development of the economy in each country,the demand for energy is increasing *** coal mines have to pace up the mining operations with large production to meet the energy *** requirement has led underground coal mines to go deeper with more difficult conditions,especially the mining hazards,such as large deformations,rockburst,coal burst,roof collapse,to name a ***,this study aims at investigating and predicting the stability of the roadways in underground coal mines exploited by longwall mining method,using various novel intelligent techniques based on physics-based optimization algorithms(***-verse optimizer(MVO),equilibrium optimizer(EO),simulated annealing(SA),and Henry gas solubility optimization(HGSO)) and adaptive neuro-fuzzy inference system(ANFIS),named as MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSOANFIS ***,162 roof displacement events were investigated based on the characteristics of surrounding rocks,such as cohesion,Young’s modulus,density,shear strength,angle of internal friction,uniaxial compressive strength,quench durability index,rock mass rating,and tensile *** MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSO-ANFIS models were then developed and evaluated based on this dataset for predicting roof displacements in roadways of underground *** results indicated that the proposed intelligent techniques could accurately predict the roof displacements in roadways of underground mines with an accuracy in the range of 83%-92%.Remarkably,the SA-ANFIS model yielded the most dominant accuracy(i.e.92%).Based on the accurate predictions from the proposed techniques,the reinforced solutions can be timely suggested to ensure the stability of roadways during exploiting coal,especially in the underground coal mines exploited by the longwall mining.

关键词： Roof displacement Longwall mining Underground mine Physics-based optimization Risk assessment Mining hazards

Effectiveness of bee venom acupuncture for patients suffering from periarthritis humeroscapularis

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Journal of Traditional Chinese Medicine 2023年第4期43卷 795-800页

作者： Minh duc nguyen Thanh van Tran Quoc Vinh nguyen Cay Doan Ha Linh Vu Phuong Dang Senior Specialist Clinic National Hospital of AcupunctureHanoi 1000Vietnam Department of Senior Specialist National Hospital of Acupuncture Hanoi 1000Vietnam Department of Senior Specialist Military Institute of Traditional MedicineHanoi 1000Vietnam Department of minimally invasive spine National Hospital of AcupunctureHanoi 1000Vietnam Department of Medicine Dai Nam UniversityHanoi 1000Vietnam

OBJECTIVE:To evaluate the efficacy of bee venom acupuncture in humeroscapularis(PHS)***:One hundred and twenty patients diagnosed with PHS were assigned into four groups:BV1(0.01 mg/kg),BV2(0.005 mg/kg),BV3(0.0025 mg/kg),and control group(vitamin B1 plus novocain 3%injection)with 15 d of *** outcomes of the study including visual analogue scale(VAS)score andβ-endorphin,inflammatory cytokines including interleukin-10(IL-10),IL-1βand tumor necrosis factorα(TNF-α)and shoulder function score were assessed at baseline,after 10 and 15 d of ***:All four groups reported statistically significant improvement in VAS score,motion range,and shoulder function score(Pduced pain,improved motor function and normalized inflammatory cytokines than current therapy used in Vietnam and other groups.

关键词： periarthritis humeroscapularis bee venom acupuncture visual analogue scale range of motion articular shoulder function score inflammatory cytokines