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| 1 | 限制热量摄入6个月对超重者寿命指标、代谢调节及氧化应激的影响——随机对照试验AuthorAffiliations:PenningtonBiomedicalResearchCenter.LouisianaStateUniversity.BatonRouge;andGarvan.InstituteforMedicalResearch.Dadinghurst,AustraIia(DrHeilbronn).显示文摘背景:长期限制热量摄入可延长啮齿类动物的寿命。但是,尚未有研究观测长期限制人体热量是否会影响其寿命及氧化应激指标,降低代谢率。
目的:在超重但不肥胖(体重指数为25—30)的人群中研究限制热量6个月伴/不伴运动对其产生的影响。
设计、地点及参试者:于2002年3月至2004年8月在位于路易斯安娜州首府巴顿鲁治的研究中心对48名不好动的健康人进行随机对照研究。
干预:参试者在6个月内随机分为4个组:对照组(饮食可维持体重);限制热量组(限制基线所需能量的25%);限制热量+运动组(限制12.5%的热量+运动增加12.5%的能耗);极低热量饮食组(每日摄入890keal,直至体重减少15%,随后采用维持体重的饮食)。
主要观测指标:机体组成;硫酸脱氢表雄酮(dehydroepiandrostemne sulfate,DHEAS)、葡萄糖及胰岛素水平;蛋白羰基化合物;DNA损伤;24小时能耗;核心体温。
结果:6个月时各组体重变化的均值(标准误)为:对照组-1.0%(1.1%);限制热量组-10.4%(0.9%);限制热量+运动组-10.0%(0.8%);极低热量饮食组-13.9%(0.7%)。6个月时,各干预组空腹血糖水平较基线明显降低(P均〈0.01),而DHEAS和葡萄糖水平没有改变。限制热量组及限制热量+运动组核心体温有所下降(P均〈0.05)。对机体组成进行校正后发现,对照组24小时静息能耗无变化,但限制热量组(-135kcal/d[42kcal/d])、限制热量+运动组(-117kcal/d[52kcal/d])和极低热量饮食组(-125kcal/d[35kcal/d])24小时静息能耗有所下降(P均〈0.008)。上述“代谢调节”(超出预计值的-6%)与对照组相比存在显著差异(P〈0.05)。6个月时,各组蛋白羰基化合物的浓度较基线时无变化,而各干预组DNA损伤有所减少(P〈0.005)。
结论:我们的研究结果显示,长期限制热量可降低人类寿命的2种指标(即空腹胰岛素水平和体温)。此外,我们的研究结果还支持下述理论,即限制热量能降低代谢率,且超过缩小代谢面积产生的相应效应。我们尚需开展远期研究来评价限制热量能否延缓人类衰老过程。 | Leonie K. Heibronn Lilian de Jonge Madlyn I. Frisard James P. DeLany D. Enette Larson-Meyer Jennifer Rood Tuong Nguyen Corby K. Martin Julia Volaufova Marlene M. Most Frank L. Greenway Steven R. Smith Walter A. Deutsch Donald A. Williamson Eric Ravussin 顾佳(译) | 2006 | 美国医学会杂志(中文版)2006，25，5： | 18 |
| 2 | Fracture mechanisms in soft rock: Identification and quantification of evolving displacement discontinuities by extended digital image correlation显示文摘 | Tuong Lam Nguyen Stephen A. Hall Pierre Vacher Gioacchino Viggiani | 2010 | Tectonophysics2010，，1： | 2 |
| 3 | A Case Study of Modelling Concave Globoidal Cam 显示文摘 | NGUYEN Van Tuong PREMYSL Pokorny | 2009 | International Journal of Computer Intergrated Manufacturing2009，22，10： | 1 |
| 4 | Automatically hardening Web applications using precise tainting 显示文摘 | Nguyen Tuong A Guarnieri S Greene D | 2005 | Security and Privacy in the Age of Ubiquitous Computing2005，167，： | 1 |
| 5 | Mediate effect of technology innovation capabilities investment capability and firm performance in Vietnam显示文摘 | Tseng Ming Lang Sheng Hsiang Lin Truong Nguyen Tuong Vy | 2012 | Procedia - Social and Behavioral Sciences2012，，： | 1 |
| 6 | The effect of oxygen vacancy on the oxide ion mobility in LaAlO3-based oxides显示文摘 | Tuong Lan Nguyen Masayuki Dokiya | | 0，，： | 1 |
| 7 | Sea Level Rise Affecting the Vietnamese Mekong Delta: Water Elevation in the Flood Season and Implications for Rice Production显示文摘 | Reiner Wassmann Nguyen Xuan Hien Chu Thai Hoanh To Phuc Tuong | 2004 | Climatic Change (-)2004，，1： | 1 |
| 8 | Electroluminescence of co-ligated aluminum complex of α-pyridoin and 8-hydroxyquinoline 显示文摘 | Won Sam Kim Burm-Jong Lee Nguyen Manh Tuong | 2006 | Current Applied Physics2006，6，4： | 1 |
| 9 | A multiplex branched DNA assay for parallel quantitative gene expression profiling显示文摘 | Michael Flagella Son Bui Zhi Zheng Cung Tuong Nguyen Aiguo Zhang Larry Pastor Yunqing Ma Wen Yang Kimberly L. Crawford Gary K. McMaster Frank Witney Yuling Luo | 2006 | Analytical Biochemistry2006，，1： | 1 |
| 10 | The Mediate effect of techonology innovation capabilities on investment capability and firm performance in Vietnam 显示文摘 | MING LANG TSENG SHENG HSIANG LIN TRUONG NGUYEN TUONG VY | 2012 | So- cial and Behavioral Sciences2012，，40： | 1 |
| 11 | OPT-BAG Model for Predicting Student Employability显示文摘The use of machine learning to predict student employability is important in order to analyse a student’s capability to get a job.Based on the results of this type of analysis,university managers can improve the employability of their students,which can help in attracting students in the future.In addition,learners can focus on the essential skills identified through this analysis during their studies,to increase their employability.An effectivemethod calledOPT-BAG(OPTimisation of BAGging classifiers)was therefore developed to model the problem of predicting the employability of students.This model can help predict the employability of students based on their competencies and can reveal weaknesses that need to be improved.First,we analyse the relationships between several variables and the outcome variable using a correlation heatmap for a student employability dataset.Next,a standard scaler function is applied in the preprocessing module to normalise the variables in the student employability dataset.The training set is then input to our model to identify the optimal parameters for the bagging classifier using a grid search cross-validation technique.Finally,the OPT-BAG model,based on a bagging classifier with optimal parameters found in the previous step,is trained on the training dataset to predict student employability.The empirical outcomes in terms of accuracy,precision,recall,and F1 indicate that the OPT-BAG approach outperforms other cutting-edge machine learning models in terms of predicting student employability.In this study,we also analyse the factors affecting the recruitment process of employers,and find that general appearance,mental alertness,and communication skills are the most important.This indicates that educational institutions should focus on these factors during the learning process to improve student employability. | Minh-Thanh Vo Trang Nguyen Tuong Le | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
| 12 | Pathological Characteristics of Nasopharyngeal Carcinoma in Hue Central Hospital显示文摘Materials and Methods:This was a retrospective review of all patients seen at Pathology Department,Hue Central Hospital with the diagnosis of nasopharyngeal carcinoma between January 1,2017 and June 30,2018.The patient’s clinical data and histopathological findings are presented.The histopathological diagnosis was in accordance with the World Health Organization(WHO)1991 classification table.Results:A total of 73 patients with histologically confirmed nasopharyngeal carcinoma were recorded at Hue Central Hospital.There were 53 males and 20 females.Histologically,undifferentiated carcinoma was the commonest(71.2%)followed by well-differentiated keratinizing squamous cell carcinoma(20.6%)and other carcinoma(8.2%).Immunohistochemistry with CKAE1/3 was positive to 32/32 of well-differentiated keratinizing squamous cell carcinoma,and negative to 30/32 of undifferentiated carcinoma. | Pham Nguyen Cuong Nguyen Thanh Xuan Pham Nguyen Tuong Tran Thi Ngoc Phuong Nguyen Thi Hoai An | 2019 | Journal of US-China Medical Science2019，16，3： | 0 |
| 13 | A Fast Algorithm for Mining Top-Rank-k Erasable Closed Patterns显示文摘The task of mining erasable patterns(EPs)is a data mining problem that can help factory managers come up with the best product plans for the future.This problem has been studied by many scientists in recent times,and many approaches for mining EPs have been proposed.Erasable closed patterns(ECPs)are an abbreviated representation of EPs and can be con-sidered condensed representations of EPs without information loss.Current methods of mining ECPs identify huge numbers of such patterns,whereas intelligent systems only need a small number.A ranking process therefore needs to be applied prior to use,which causes a reduction in efficiency.To overcome this limitation,this study presents a robust method for mining top-rank-k ECPs in which the mining and ranking phases are combined into a single step.First,we propose a virtual-threshold-based pruning strategy to improve the mining speed.Based on this strategy and dPidset structure,we then develop a fast algorithm for mining top-rank-k ECPs,which we call TRK-ECP.Finally,we carry out experiments to compare the runtime of our TRK-ECP algorithm with two algorithms modified from dVM and TEPUS(Top-rank-k Erasable Pattern mining Using the Subsume concept),which are state-of-the-art algorithms for mining top-rank-k EPs.The results for the running time confirm that TRK-ECP outperforms the other experimental approaches in terms of mining the top-rank-k ECPs. | Ham Nguyen Tuong Le | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 14 | Preoperative Short-Course Radiation Therapy in Rectal Cancer显示文摘Purpose:To evaluate the benefits of preoperative short-course radiotherapy in locally advanced rectal cancer.Patients and methods:A prospective study of 30 rectal cancer patients at T3-4M0 stage and ECOG 0-2 performed preoperative short-course radiation therapy at Hue Central Hospital Vietnam between June 2016 and July 2018,using pelvic 3D-Conformal Radiation Therapy with the total radiation dose being 25 Gy in 5 fractions over five days.Results:Mean age 57.1±13.6 with 46.7%of patients in the range of 41-60 year-old.Male/female ratio:2/1.Tumour stage T3 and T4 was 70%and 30%,respectively;stage III and stage IV was 86.7%and 13.3%,respectively.Positive lymph node rates on endoscopic ultrasound were 85.7%in T3 and 77.8%in T4.Downstaging rate for stage III,T4 and T3 was 65.4%,65.4%and 4.8%,respectively.For upper third of the rectum:100%of T3 stage patients got no downstaging.For middle rectum:downstaging rate for stage III,T4 and T3 was 55.6%,57.1%and 7.1%,respectively.For lower rectum:downstaging rate for stage III,T4 was 50.0%and 100.0%,respectively.No acute toxicity was seen,86.7%of the patients performed laparoscopic sphincter-preserving surgery.Conclusion:For the treatment of locally advanced rectal cancer,neoadjuvant therapy is standard.Preoperative short-course radiation therapy is a reasonable therapeutic option because it demonstrates benefits in tumour downstaging especially for middle and lower rectum. | Pham Nguyen Tuong Pham Nguyen Cuong Le Trong Hung Nguyen Thanh Ai Huynh Thanh Hai | 2019 | Journal of US-China Medical Science2019，16，2： | 0 |
| 15 | Linac-based Stereotactic Body Radiation Therapy at Oncology Center of Hue Central Hospital显示文摘Stereotactic body radiation therapy(SBRT),(also stereotactic radiotherapy surgery—SRS and stereotactic radiotherapy—SRT)is one of radiotherapy techniques which entails precise delivery of high-dose in one fraction and several fractions,with tumor ablation and maximal normal-tissue sparing.This technique has been approved globally and performed based on Cyberknife,Gamma knife,Proton.SBRT/SRS technique has not been common in Vietnam because it requires high accuracy and synchronous facilities.Hue Central Hospital is the pioneer in Vietnam applying successfully Linac-based SBRT,SRS with imaging guide radiotherapy(IGRT).The study enrolled 70 patients(25 HCC,5 lungs,40 brains)underwent SBRT,SRS,SRT techniques.We applied volumetric arc therapy technique(VMAT)from 1 to 5 fractions(prescribed doses depended on sites and size of tumors).Radiation treatment was given on LINAC of Elekta AXESSE,planned by Monaco 5.11 version,IGRT by daily conebeam CT/XVI device and assured quality by Verisoft software,OCTAVIUS 4D/PTW system,CT Similation 4D of PHILIPS with breathing compressor.With three case reports,the aim of this study is to survey and assess treatment planning quality of SBRT for liver,lung and brain tumors. | Pham Nguyen Tuong Le Trong Hung Pham Nhu Hiep Phan Canh Duy Nguyen Van Thanh Nguyen Huu Minh Tuan | 2019 | Journal of US-China Medical Science2019，16，1： | 0 |
| 16 | 越南高中生对校园暴力行为的认识显示文摘了解越南高中生对校园暴力行为的认识对建设校园暴力行为的预防和干预机制打下了基础。本研究采用的主要研究方法是问卷调查法,及其根据这五个方面了解越南高中学生对校园暴力行为的认识:行为表现了解;行为成因了解;行为危害了解;行为反应形式了解;对预防暴力行为的必要性了解。本研究发现越南高中生对校园暴力行为的认识总体水平较好。性别、学习成绩方面在越南高中生对校园暴力行为的认识上均存在显著性差异。 | NGUYEN VAN TUONG | 2018 | 校园英语2018，0，27： | 0 |
| 17 | Dealing with the Class Imbalance Problem in the Detection of Fake Job Descriptions显示文摘In recent years,the detection of fake job descriptions has become increasingly necessary because social networking has changed the way people access burgeoning information in the internet age.Identifying fraud in job descriptions can help jobseekers to avoid many of the risks of job hunting.However,the problem of detecting fake job descriptions comes up against the problem of class imbalance when the number of genuine jobs exceeds the number of fake jobs.This causes a reduction in the predictability and performance of traditional machine learning models.We therefore present an efficient framework that uses an oversampling technique called FJD-OT(Fake Job Description Detection Using Oversampling Techniques)to improve the predictability of detecting fake job descriptions.In the proposed framework,we apply several techniques including the removal of stop words and the use of a tokenizer to preprocess the text data in the first module.We then use a bag of words in combination with the term frequency-inverse document frequency(TF-IDF)approach to extract the features from the text data to create the feature dataset in the second module.Next,our framework applies k-fold cross-validation,a commonly used technique to test the effectiveness of machine learning models,that splits the experimental dataset[the Employment Scam Aegean(ESA)dataset in our study]into training and test sets for evaluation.The training set is passed through the third module,an oversampling module in which the SVMSMOTE method is used to balance data before training the classifiers in the last module.The experimental results indicate that the proposed approach significantly improves the predictability of fake job description detection on the ESA dataset based on several popular performance metrics. | Minh Thanh Vo Anh H.Vo Trang Nguyen Rohit Sharma Tuong Le | 2021 | Computers, Materials & Continua2021，，7： | 0 |
| 18 | Study of Relaxation by Traditional Medicinal Methods on Biological Indexes of the Elderly(Abstract)显示文摘 | Le Thi Hien Hoang Bao Chau Nguyen Van Tuong | 2001 | Chinese Journal of Integrative Medicine2001，7，2： | 0 |
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