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| 1 | The UCR Time Series Archive显示文摘The UCR time series archive–introduced in 2002,has become an important resource in the time series data mining community,with at least one thousand published papers making use of at least one data set from the archive.The original incarnation of the archive had sixteen data sets but since that time,it has gone through periodic expansions.The last expansion took place in the summer of 2015 when the archive grew from 45 to 85 data sets.This paper introduces and will focus on the new data expansion from 85 to 128 data sets.Beyond expanding this valuable resource,this paper offers pragmatic advice to anyone who may wish to evaluate a new algorithm on the archive.Finally,this paper makes a novel and yet actionable claim:of the hundreds of papers that show an improvement over the standard baseline(1-nearest neighbor classification),a fraction might be mis-attributing the reasons for their improvement.Moreover,the improvements claimed by these papers might have been achievable with a much simpler modification,requiring just a few lines of code. | Hoang Anh Dau Anthony Bagnall Kaveh Kamgar Chin-Chia Michael Yeh Yan Zhu Shaghayegh Gharghabi Chotirat Ann Ratanamahatana Eamonn Keogh | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，6： | 26 |
| 2 | Calculation of maximum surface settlement induced by EPB shield tunnelling and introducing most effective parameter显示文摘This study aims to predict ground surface settlement due to shallow tunneling and introduce the most affecting parameters on this phenomenon.Based on data collected from Shanghai LRT Line 2 project undertaken by TBM-EPB method,this research has considered the tunnel's geometric,strength,and operational factors as the dependent variables.At first,multiple regression(MR) method was used to propose equations based on various parameters.The results indicated the dependency of surface settlement on many parameters so that the interactions among different parameters make it impossible to use MR method as it leads to equations of poor accuracy.As such,adaptive neuro-fuzzy inference system(ANFIS),was used to evaluate its capabilities in terms of predicting surface settlement.Among generated ANFIS models,the model with all input parameters considered produced the best prediction,so as its associated R^2 in the test phase was obtained to be 0.957.The equations and models in which operational factors were taken into consideration gave better prediction results indicating larger relative effect of such factors.For sensitivity analysis of ANFIS model,cosine amplitude method(CAM) was employed; among other dependent variables,fill factor of grouting(n) and grouting pressure(P) were identified as the most affecting parameters. | Sayed Rahim Moeinossadat Kaveh Ahangari Kourosh Shahriar | 2016 | Journal of Central South University2016，23，12： | 6 |
| 3 | Predicting crest settlement in concrete face rockfill dams using adaptive neuro-fuzzy inference system and gene expression programming intelligent methods显示文摘This paper deals with the estimation of crest settlement in a concrete face rockfill dam (CFRD), utilizing intelligent methods. Following completion of dam construction, considerable movements of the crest and the body of the dam can develop during the first impoundment of the reservoir. Although there is vast experience worldwide in CFRD design and construction, few accurate experimental relationships are available to predict the settlement in CFRD. The goal is to advance the development of intelligent methods to estimate the subsidence of dams at the design stage. Due to dam zonification and uncertainties in material properties, these methods appear to be the appropriate choice. In this study, the crest settlement behavior of CFRDs is analyzed based on compiled data of 24 CFRDs constructed during recent years around the world, along with the utilization of gene expression programming (GEP) and adaptive neuro-fuzzy inference system (ANFIS) methods. In addition, dam height (H), shape factor (S f ), and time (t, time after first operation) are also assessed, being considered major factors in predicting the settlement behavior. From the relationships proposed, the values of R 2 for both equations of GEP (with and without constant) were 0.9603 and 0.9734, and for the three approaches of ANFIS (grid partitioning (GP), subtractive clustering method (SCM), and fuzzy c-means clustering (FCM)) were 0.9693, 0.8657, and 0.8848, respectively. The obtained results indicate that the overall behavior evaluated by this approach is consistent with the measured data of other CFRDs. | Danial BEHNIA Kaveh AHANGARI Ali NOORZAD Sayed Rahim MOEINOSSADAT | 2013 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2013，14，8： | 6 |
| 4 | Stem cells as delivery vehicles for regenerative medicinechallenges and perspectives显示文摘The use of stem cells as carriers for therapeutic agents is an appealing modality for targeting tissues or organs of interest. Combined delivery of cells together with various information molecules as therapeutic agents has the potential to enhance, modulate or even initiate local or systemic repair processes, increasing stem cell efficiency for regenerative medicine applications. Stem-cell-mediated delivery of genes, proteins or small molecules takes advantage of the innate capability of stem cells to migrate and home to injury sites. As the native migratory properties are affected by in vitro expansion, the existent methods for enhancing stem cell targeting capabilities(modified culture methods, genetic modification, cell surface engineering) are described. The role of various nanoparticles in eq-uipping stem cells with therapeutic small molecules is revised together with their class-specific advantages and shortcomings. Modalities to circumvent common challenges when designing a stem-cell-mediated targeted delivery system are described as well as future prospects in using this approach for regenerative medicine applications. | Luminita Labusca Dumitru Daniel Herea Kaveh Mashayekhi | 2018 | World Journal of Stem Cells2018，10，5： | 5 |
| 5 | 福建省部分地区吸毒者和暗娼艾滋病KABP研究显示文摘目的:了解福建省吸毒者和暗娼艾滋病相关知识水平、态度和危险行为,为其他艾滋病防治活动提供依据。方法:在戒毒所、妇教所和劳教所按照随机抽样的方法选择了185名吸毒者和159名暗娼,由调查员对调查对象进行一对一的问卷调查。问卷内容包括人口学信息、性行为、吸毒史、艾滋病相关知识及态度等,随后对两类人群的部分结果进行了比较。结果:很多调查对象对自己的高危行为认识不足。吸毒者的艾滋病知识水平高于暗娼,暗娼比吸毒者对艾滋病和感染者歧视更重。与危险行为相关的因素主要有男性、收入低及对高危行为认识不足。与艾滋病知识水平相关的因素主要有文化程度、婚姻状况及知道了解和检查艾滋病的场所。结论:应采用多种方式在监管场所开展艾滋病宣传教育,提高吸毒者和暗娼的艾滋病知识知晓率及对自身危险行为认识,促使他们改变自己的高危行为。 | 马伟 柔克明 吴尊友 王常合 曹晓斌 苏成豪 姚冠华 管纪惠 李蓬 殷文武 Kaveh Khoshnood | 2006 | 中国农村卫生事业管理2006，26，7： | 5 |
| 6 | Silica gel supported AlCl_3 catalyzed Friedel-Crafts acylation of aromatic compounds显示文摘支持的铝 trichloride (SiO2-AlCl3 ) 被显示出是的硅石胶化一温和,有效,并且 chemoselective 为有酸氯化物的芳香的混合物的 acylation 的异构的路易斯酸催化剂。催化剂能在与醚的简单的洗以后被再使用直到五次并且是稳定的(作为凳子顶催化剂) 。 | Kaveh Parvanak Boroujeni | 2010 | Chinese Chemical Letters2010，21，12： | 5 |
| 7 | Polystyrene-supported chloroaluminate ionic liquid as a new heterogeneous Lewis acid catalyst for Knoevenagel condensation显示文摘不收湿的支持聚苯乙烯的 chloroaluminate 离子的液体从 Merrifield 树脂的反应被准备, 1-methylimidazole 与铝氯化物由反应列在后面。这路易斯酸的离子的液体是为有乙醇 cyanoacetate 的芳香、脂肪族的醛的 Knoevenagel 冷凝作用的环境地友好的异构的催化剂。催化剂是稳定的(作为凳子顶催化剂) 并且可重用。 | Kaveh Parvanak Boroujeni Mina Jafarinasab | 2012 | Chinese Chemical Letters2012，23，9： | 5 |
| 8 | Human Immunodeficiency Virus Infection-Associated Mortality during Pulmonary Tuberculosis Treatment in Six Provinces of China显示文摘Objective To investigate the risk factors attributable to tuberculosis-related deaths in areas with human immunodeficiency virus(HIV) infection epidemics. Methods A prospective cohort study of newly registered patients in tuberculosis(TB) dispensaries in six representative Chinese provinces was conducted from September 1, 2009 to August 31, 2011. Risk factors for TB-associated death were identified through logistic regression analysis. Results Of 19,103 newly registered pulmonary TB patients, 925(4.8%) were found to be HIV-positive. Miliary TB and acid-fast bacillus smear-negative TB were more common among these patients. Out of a total of 322(1.7%) deaths that occurred during TB treatment, 85(26%) of the patients were co-infected with HIV. Multivariate analysis revealed that HIV infection was the strongest predictor of death [adjusted odds ratio(aO R) 7.86]. Other significant mortality risk factors included presentation with miliary TB(aO R 4.10; 95% confidence interval: 2.14-7.88), ≥35 years of age(aO R 3.04), non-Han ethnicity(aO R 1.67), and farming as an occupation(aO R 1.59). For patients with TB/HIV co-infection, miliary TB was the strongest risk factor for death(aO R 5.48). A low CD4 count(≤ 200 cells/μL)(aO R 3.27) at the time of TB treatment initiation and a lack of antiretroviral therapy(ART) administration(aO R 3.78) were also correlated with an increased risk of death. Conclusion Infection with HIV was independently associated with increased mortality during TB treatment. Offering HIV testing at the time of diagnosis with TB, early TB diagnosis among HIV/acquired immunodeficiency syndrome patients, and the timely provision of ART were identified as the key approaches that could reduce the number of HIV-associated TB deaths. | LAI Yu Ji LIU Er Yong WANG Li Ming Jamie P MORANO WANG Ning Kaveh KHOSHNOOD ZHOU Lin CHENG Shi Ming | 2015 | Biomedical and Environmental Sciences2015，28，6： | 4 |
| 9 | Recent advances in metastable alloys for hydrogen storage:a review显示文摘Development of new materials with high hydrogen storage capacity and reversible hydrogen sorp-tion performances under mild conditions has very high value in both fundamental and application aspects.In the past years,some new systems with metastable structures,such as ultra-fine nanocrystalline alloys,amorphous alloys,nanoglass alloys,immiscible alloys,high-entropy alloys,have been abundantly studied as hydrogen storage mate-rials.Many new hydrogen storage properties either from the kinetics or thermodynamics aspects have been reported.In this review,recent advances of studies on metastable alloys for hydrogen storage applications have been comprehensively reviewed.The materials preparation methods to synthesize metastable hydrogen storage alloys are firstly reviewed.Afterwards,hydrogen storage prop-erties of the metastable alloys are summarized and dis-cussed,focusing on the unique kinetics and thermodynamics properties by forming of such unique metastable structures.For examples,superior hydrogena-tion kinetics and higher hydrogen storage capacity have been achieved in Mg-based amorphous and nanoglass alloys.Destabilized thermodynamics properties can be obtained in the immiscible Mg-Mn and Mg-Zr alloys.In addition to highlighting the recent achievements of metastable alloys in the field of hydrogen storage,the remaining challenges and trends of the emerging research are also discussed. | Huai-Jun Lin Yan-Shan Lu Liu-Ting Zhang Hai-Zhen Liu Kaveh Edalati Adám Révész | 2022 | Rare Metals2022，41，6： | 4 |
| 10 | A comparative study of three different learning algorithms applied to ANFIS for predicting daily suspended sediment concentration显示文摘The modeling and prediction of suspended sediment in a river are key elements in global water recourses and environment policy and management. In the present study, an Adaptive Neuro-Fuzzy Inference System model trained with the Levenberg-Marquardt learning algorithm is considered for time series modeling of suspended sediment concentration in a river. The model is trained and validated using daily river discharge and suspended sediment concentration data from the Schuylkill River in the United States. The results of the proposed method are evaluated and compared with similar networks trained with the common Hybrid and Back-Propagation algorithms, which are widely used in the literature for prediction of suspended sediment concentration. Obtained results demonstrate that models trained with the Hybrid and Levenberg-Marquardt algorithms are comparable in terms of prediction accuracy.However, the networks trained with the Levenberg-Marquardt algorithm perform better than those trained with the Hybrid approach. | Keivan Kaveh Minh Duc Bui Peter Rutschmann | 2017 | International Journal of Sediment Research2017，32，3： | 3 |
| 11 | Success criteria analysis in support of probabilistic risk assessment for nuclear power plants: application on SGTR accident显示文摘Success criteria analysis(SCA) bridges the gap between deterministic and probabilistic approaches for risk assessment of complex systems. To develop a risk model,SCA evaluates systems behaviour in response to postulated accidents using deterministic approach to provide required information for the probabilistic model. A systematic framework is proposed in this article for extracting the front line systems success criteria. In this regard, available approaches are critically reviewed and technical challenges are discussed. Application of the proposed methodology is demonstrated on a typical Westinghouse-type nuclear power plant. Steam generator tube rupture is selected as the postulated accident. The methodology is comprehensive and general; therefore, it can be implemented on the other types of plants and complex systems. | Seyed Mohsen Hoseyni Kaveh Karimi Seyed Mojtaba Hoseyni Meisam Mohammadnia | 2017 | Nuclear Science and Techniques2017，28，3： | 3 |
| 12 | Real-Time Detection of Cracks on Concrete Bridge Decks Using Deep Learning in the Frequency Domain显示文摘This paper presents a vision-based crack detection approach for concrete bridge decks using an integrated one-dimensional convolutional neural network(1D-CNN)and long short-term memory(LSTM)method in the image frequency domain.The so-called 1D-CNN-LSTM algorithm is trained using thousands of images of cracked and non-cracked concrete bridge decks.In order to improve the training efficiency,images are first transformed into the frequency domain during a preprocessing phase.The algorithm is then calibrated using the flattened frequency data.LSTM is used to improve the performance of the developed network for long sequence data.The accuracy of the developed model is 99.05%,98.9%,and 99.25%,respectively,for training,validation,and testing data.An implementation framework is further developed for future application of the trained model for large-scale images.The proposed 1D-CNN-LSTM method exhibits superior performance in comparison with existing deep learning methods in terms of accuracy and computation time.The fast implementation of the 1D-CNN-LSTM algorithm makes it a promising tool for real-time crack detection. | Qianyun Zhang Kaveh Barri Saeed K.Babanajad Amir H.Alavi | 2021 | Engineering2021，7，12： | 3 |
| 13 | Cutaneous leishmaniasis in Iran: Results from an epidemiological study in urban and rural provinces显示文摘Objective: To examine the prevalence and clinical manifestations of cutaneous leishmaniasis(CL) in Iran.Methods: This study was conducted in Iran between 2011 and 2013. Sampling, preparing, developing, and fixing of suspicious skin lesions were completed in healthcare centers in 31 Iranian provinces as well as in the Academic Reference Laboratory and the National Reference Laboratory. The information was then analyzed at the Ministry of Health's Information Management Center of Contagious Diseases.Results: Over a three-year period, the number of people identified with CL was 56 546.The highest incidence was reported in 2011(27.5 per 100 000). Wet CL accounted for 43.7% of cases while 43.3% resulted from sporotrichoid leishmaniasis. The results showed that there was a higher incidence of CL due to Leishmania major(50.2%) than to Leishmania tropica. The results of this study found that the highest incidence of CL had happened respectively in Ilam, Fars and, Khorasan Razavi Provinces between 2011 and 2013.Conclusions: Although the incidence of the disease is declining, CL is still a public health concern and disease control protocols need to be established. Therefore, further studies are needed to identify the vectors, reservoirs, and disease species as well as to develop appropriate disease control strategies. | Faezeh Norouzinezhad Fatemeh Ghaffari Abbas Norouzinejad Farzad Kaveh Mohammad Mehdi Gouya | 2016 | Asian Pacific Journal of Tropical Biomedicine2016，6，7： | 3 |
| 14 | Efficient and solvent-free synthesis of bis-indolylmethanes using silica gel supported aluminium chloride as a reusable catalyst显示文摘支持的铝氯化物(SiO2AlCl3 ) 它从便宜、商业地可得到的混合物容易被准备被发现是为有醛和酉同类的吲哚的冷凝作用的环境地友好的异构的催化剂在没有溶剂的条件下面在房间温度负担得起 bis-indolylmethanes 的稳定、不收湿的硅石胶化。催化剂能在与醚的简单的洗以后被再使用直到五次。 | Kaveh Parvanak Boroujeni Kamran Parvanak | 2011 | Chinese Chemical Letters2011，22，8： | 3 |
| 15 | Three-Dimensional Simulation of Plasma Deformation During Contact Opening in a Circuit Breaker,Including the Analysis of Kink Instability and Sausage Instability显示文摘A three-dimensional(3-D) transient model has been developed to investigate plasma deformation driven by a magnetic field and its influence on arc stability in a circuit breaker.The 3-D distribution of electric current density is obtained from a current continuity equation along with the generalized Ohm's law;while the magnetic field induced by the current flowing through the arc column is calculated by the magnetic vector potential equation.When gas interacts with an arc column,fundamental factors,such as Ampere's law,Ohm's law,the turbulence model,transport equations of mass,momentum and energy of plasma flow,have to be coupled for analyzing the phenomenon.The coupled interactions between arc and plasma flow are described in the framework of time-dependent magnetohydrodynamic(MHD) equations in conjunction with a K-ε turbulence model.Simulations have been focused on sausage and kink instabilities in plasma(these phenomena are related to pinch effects and electromagnetic fields).The 3-D simulation reveals the relation between plasma deformation and instability phenomena,which affect arc stability during circuit breaker operation.Plasma deformation is the consequence of coupled interactions between the electromagnetic force and plasma flow described in simulations. | Vahid ABBASI Ahmad GHOLAMI Kaveh NIAYESH | 2012 | Plasma Science and Technology2012，14，11： | 3 |
| 16 | ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption potato,garlic and cantaloupe drying under convective hot air dryer显示文摘The main purpose of this study was to develop and apply an adaptive neuro-fuzzy inference system(ANFIS)and Artificial Neural Networks(ANNs)model for predicting the drying characteristics of potato,garlic and cantaloupe at convective hot air dryer.Drying experiments were conducted at the air temperatures of 40,50,60 and 70C and the air speeds of 0.5,1 and l.5 m/s.Drying properties were including kinetic drying,effective moisture diffusivity(Deff)and specific energy consumption(SEC).The highest value of Deff obtained 9.76×10^-9,0.13×10^-9 and 9.97×10^-10 m^2/s for potato,garlic,and cantaloupe,respectively.The lowest value of SEC for potato,garlic,and cantaloupe were calculated 1.94105,4.52105 and 2.12105 kJ/kg,respectively.Results revealed that the ANFIS model had the high ability to predict the Deff(R^2=0.9900),SEC(R^2=0.9917),moisture ratio(R^2=0.9974)and drying rate(R^2=0.9901)during drying.So ANFIS method had the high ability to evaluate all output as compared to ANNs method. | Mohammad Kaveh Vali Rasooli Sharabiani Reza Amiri Chayjan Ebrahim Taghinezhad Yousef Abbaspour-Gilandeh Iman Golpour | 2018 | Information Processing in Agriculture2018，5，3： | 3 |
| 17 | Freestanding hierarchical porous carbon film derived from hybrid nanocellulose for high-power supercapacitors显示文摘Nanocellulose 是从可更新的生物资源导出的持续、 eco 友好的 nanomaterial。在这研究,我们利用了 nanocellulose 的二种类型的结构的优点并且为 supercapacitors 作为电极材料制作了独立使碳化的混合 nanocellulose 电影。长纤维素 nanofibrils (CNF ) 形成了一个 macroporous 框架,并且短纤维素 nanocrystals 在 CNF 框架附近被装配并且产生了 micro/mesopores。因为扔的薄原子层(ALD ) ,这二水平的层次多孔的结构成功地在碳化期间被保存艾尔 2 O 3 保角的涂层,它有效地阻止了 nanocellulose 的聚集。这些使碳化,部分, graphitized nanocellulose 纤维被互连,与 1,244 m 2 敢愠 ?? 敤摡攠摮的一个大特定的表面区域形成一个综合、高度传导性的网络吗? | Zhi Li Kaveh Ahadi Keren Jiang Behzad Ahvazi Peng Li Anthony O. Anyia Ken Cadien Thomas Thundat | 2017 | Nano Research2017，10，5： | 2 |
| 18 | The Effects of SF_6-Cu Mixture on the Arc Characteristics in a Medium Voltage Puffer Gas Circuit Breaker due to Variation of Thermodynamic Properties and Transport Coefficients显示文摘In a gas circuit breaker,metal vapor resulting from electrode erosion is injected into the arc plasma.The arc then burns in a mixture of SF6 and electrode vapor,which has properties significantly different from those of pure SF6.Thermodynamic properties and transport coefficients of thermal plasmas formed in SF6-copper vapor mixtures change as a function of temperature and pressure.The property that is mostly affected by the presence of copper is electrical conductivity,which is important in magnetohydrodynamic(MHD) analysis.In this study,the transport coefficients of SF6 in the presence of 10 percent copper are considered as the basis of MHD simulation.Comparisons are made between the results during arc formation for pure SF6 and SF6-Cu mixture in a medium voltage(MV) circuit breaker.According to the transport coefficients influenced by the SF6-Cu mixture,the distribution of the electric potential, temperature,electromagnetic force density and current density of the arc column are presented and discussed.Also,the arc stability and pinch effect near current zero with 3-D simulation are investigated,which is advantageous to improving the efficiency of arc plasma simulation. | Vahid ABBASI Ahmad GHOLAMI Kaveh NIAYESH | 2013 | Plasma Science and Technology2013，15，6： | 2 |
| 19 | Protective Effects of Vitamin E on Diabetes-induced Oxidative Stress Status and Homocysteine in the Rat Heart显示文摘 | Mojtaba Beyramzadeh Mohammad Hassan Khadem Ansari Kaveh Azimzadeh Siamak Salami | 2017 | Journal of Pharmacy and Pharmacology2017，5，10： | 2 |
| 20 | Creep rupture assessment for Level-2 PSA of a 2-loop PWR: accounting for phenomenological uncertainties显示文摘The Level-2 probabilistic safety assessment(PSA) of pressurized water reactors studies the possibility of creep rupture for major reactor coolant system components during the course of high pressure severe accident sequences. The present paper covers this technical issue and tries to quantify its associated phenomenological uncertainties for the development of Level-2 PSA. A framework is proposed for the formal quantification of uncertainties in the Level-2 PSA model of a PWR type nuclear power plant using an integrated deterministic and PSA approach. This is demonstrated for estimation of creep rupture failure probability in station blackout severe accident of a 2-loop PWR, which is the representative case for high pressure sequences. MELCOR 1.8.6 code is employed here as the deterministic tool for the assessment of physical phenomena in the course of accident. In addition, a MATLAB code is developed for quantification of the probabilistic part by treating the uncertainties through separation of aleatory and epistemic sources of uncertainty.The probability for steam generator tube creep rupture is estimated at 0.17. | Faramarz Yousefpour Seyed Mohsen Hoseyni Seyed Mojtaba Hoseyni Seyed Ali Hashemi Olia Kaveh Karimi | 2017 | Nuclear Science and Techniques2017，28，8： | 2 |
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