Validation and application of three-dimensional discontinuous deformation analysis with tetrahedron finite element meshed block

In the last decade, three dimensional discontin- uous deformation analyses （3D DDA） has attracted more and more attention of researchers and geotechnical engineers worldwide. The original DDA formulation utilizes a linear displacement function to describe the block movement and deformation, which would cause block expansion under rigid body rotation and thus limit its capability to model block de- formation. In this paper, 3D DDA is coupled with tetrahe- dron finite elements to tackle these two problems. Tetrahe- dron is the simplest in the 3D domain and makes it easy to implement automatic discretization, even for complex topol- ogy shape. Furthermore, element faces will remain planar and element edges will remain straight after deformation for tetrahedron finite elements and polyhedral contact detection schemes can be used directly. The matrices of equilibrium equations for this coupled method are given in detail and an effective contact searching algorithm is suggested. Valida- tion is conducted by comparing the results of the proposed coupled method with that of physical model tests using one of the most common failure modes, i.e., wedge failure. Most of the failure modes predicted by the coupled method agree with the physical model results except for 4 cases out of the total 65 cases. Finally, a complex rockslide example demon- strates the robustness and versatility of the coupled method.

Thermal Analysis and Optimization for Cryopanel of NBI Cryocondensation Pump

Excellent vacuum performance ensures a high beam transmission efficiency of the neutral beam injector （NBI）. The vacuum performance is mainly determined by the cryoperformance of the cryopanel of the cryocondensation pumps which are the main vacuum pumps of NBI. In order to optimize the cryoperformance, the requirements for the temperature distribution and the heat load of the cryopanel are analysed and the factors that affect the cryopanel＇s temperature distribution are studied. The results indicate that the temperature difference of the cryopanel can be reduced by fabricating the cryopanel with high thermal conductivity material, increasing its thickness and cutting the distance between the two upward cooling pipes. The results may be applied to a cryopanel cooled by forced flow liquid helium.

Repetitive transcranial magnetic stimulation for hallucination in schizophrenia spectrum disorders A meta-analysis

OBJECTIVE： This study assessed the efficacy and tolerability of repetitive transcranial magnetic stimulation for treatment of auditory hallucination of patients with schizophrenia spectrum disorders. DATA SOURCES： Online literature retrieval was conducted using PubMed, ISI Web of Science, EMBASE, Medline and Cochrane Central Register of Controlled Trials databases from January 1985 to May 2012. Key words were ＂transcranial magnetic stimulation＂, ＂TMS＂, ＂repetitive tran- scranial magnetic stimulation＂, and ＂hallucination＂. STUDY SELECTION： Selected studies were randomized controlled trials assessing therapeutic ef- ficacy of repetitive transcranial magnetic stimulation for hallucination in patients with schizophrenia spectrum disorders. Experimental intervention was low-frequency repetitive transcranial magnetic stimulation in left temporoparietal cortex for treatment of auditory hallucination in schizophrenia spectrum disorders. Control groups received sham stimulation. MAIN OUTCOME MEASURES： The primary outcome was total scores of Auditory Hallucinations Rating Scale, Auditory Hallucination Subscale of Psychotic Symptom Rating Scale, Positive and Negative Symptom Scale-Auditory Hallucination item, and Hallucination Change Scale. Secondary outcomes included response rate, global mental state, adverse effects and cognitive function. RESULTS： Seventeen studies addressing repetitive transcranial magnetic stimulation for treatment of schizophrenia spectrum disorders were screened, with controls receiving sham stimulation. All data were completely effective, involving 398 patients. Overall mean weighted effect size for repeti- tive transcranial magnetic stimulation versus sham stimulation was statistically significant （MD = -0.42, 95%C/： -0.64 to -0.20, P = 0.000 2）. Patients receiving repetitive transcranial magnetic stimulation responded more frequently than sham stimulation （OR = 2.94, 95%C/： 1.39 to 6.24, P =0.005）. No significant differences were found between active repetitive transcranial magnetic stimulation and sham stimulation for positive or negative symptoms. Compared with sham stimulation, active repeti- tive transcranial magnetic stimulation had equivocal outcome in cognitive function and commonly caused headache and facial muscle twitching. CONCLUSION： Repetitive transcranial magnetic stimulation is a safe and effective treatment for auditory hallucination in schizophrenia spectrum disorders,

Public Transit Performance Evaluation Using Data Envelopment Analysis and Possibilities of Enhancement

This study evaluates the operational performance of all routes of Sajha Bus Yatayat operating inside Kathmandu valley using Data Envelopment Analysis (DEA) in terms of efficiency and effectiveness score. This approach allows us to access the relative performance of transit system in absence of historical data and research to compare with. To explore the possibility of enhancing the performance, scenarios were created for relatively underperforming routes and long route problem by changing the most important input variable and output variables accordingly with regression model where it was relevant. Partial Least Squares (PLS) regression was used to determine the most influential input variables to the output variables. DEA was conducted to access the performance of all routes under these scenarios. Underperforming routes except the longest route under the first set of scenarios, emerge to be better performing efficiently without considerable negative deviation in effectiveness. The result of second set of scenarios for long route problem suggests that the longest route’s performance can be enhanced significantly upon proper route alignment. Scenarios development and evaluation can help lead transit companies to explore the strategies to facilitate operational performance enhancement.

Quantitative volumetric analysis of the optic radiation in the normal human brain using diffusion tensor magnetic resonance imaging-based tractography

To attain the volumetric information of the optic radiation in normal human brains, we per- formed diffusion tensor imaging examination in 13 healthy volunteers. Simultaneously, we used a brain normalization method to reduce individual brain variation and increase the accuracy of volumetric information analysis. In addition, tractography-based group mapping method was also used to investigate the probability and distribution of the optic radiation pathways. Our results showed that the measured optic radiation fiber tract volume was a range of about 0.16% and that the fractional anisotropy value was about 0.53. Moreover, the optic radiation probability fiber pathway that was determined with diffusion tensor tractography-based group mapping was able to detect the location relatively accurately. We believe that our methods and results are help- ful in the study of optic radiation fiber tract information.

Thermodynamic analysis and combined cycle research on recoverable pressure energy in natural gas pipeline

Current research and ways of capturing mechanical energy are discussed in this paper. By the aid of the comprehensive thermodynamic analysis and Aspen simulation tool, the amount of a vailable work that can be produced from capturing the pressure energy has been calculated. Based on the comprehensive thermodynamic analysis, two systems have been proposed to capture pressure energy of natural gas to generate electricity. In this study, the expression of exergy is given which can be used in evaluating purposes. A problem with this multidisciplinary study is the complicated boundary condition. In conclusion, a technical prospect on recoverable natural gas pressure energy has been presented based on total energy system theory.

Mathematical theory of signal analysis vs. complex analysis method of harmonic analysis

We present recent work of harmonic and signal analysis based on the complex Hardy space approach.

The Reliability Research of the Supply Chain Management Based on the Fuzzy Operation

The complex and varied relationships between supply a nd demand among different enterprises calls for an effective way to evaluate and maintain reliability in supply chain management. Individually, enterprises purs ue maximum benefit strategy while cooperating with others. This behavior may res ult in the weakening of needed reliability in supply chain or, in more serious c ases, sever the supply chain. Although reliability of supply chain is the bases to ensuring long-term benefit, a systematic way of handling reliability issues in supply chain management has drawn little attention. The main objective of thi s paper is to define reliability in supply chain management and to develop a fuz zy operational model based on two factors: serial and parallel, to research it.

Integration of α-fairness with DEA based resource allocation model

How to allocate a resource efficiently and fairly attracts the attention of both researchers and practitioners. Data envelopment analysis（DEA） has been brought to bear on its solution. The existing literature applies Gini coefficient to measure the fairness in the resource allocation process. However, the Gini coefficient is inapplicable in many applications. This paper proposes a novel centralized resource allocation model based on DEA that considers both the efficiency and the fairness. This paper adopts a notion of fairness, namely α-fairness that is well studied in welfare economics and is of practical significance. The new model integratesα-fairness with DEA to support resource allocation decisions. It aids decision makers in making a trade-off between the efficiency and the fairness. An illustrative application is used to validate the proposed approach.

Early rehabilitation improves neurofunctional outcome after surgery in children with spinal tumors

To investigate the effect of early rehabilitation on neurofunctional outcome after surgery in chil- dren with spinal tumors, this study reviewed the medical charts and radiographic records of 70 pediatric patients （1-17 years old） who received spinal tumor surgical removal. The peddiatric patients received rahabilitation treatment at 4 （range, 2-7） days after surgery for 10 （range, 7-23） days. Results from the Modified McCormick Scale, Functional Independence Measure for Chil- dren, American Spinal Injury Association Impairment Scale and Karnofsky Performance Status Scale demonstrated that the sensory function, motor function and activity of daily living of pedi- atric children who received early rehabilitation were significantly improved. Results also showed that tumor setting and level localization as well as patients＇s clinical symptoms have no influences on neurofunctional outcomes.

Review on Modeling and Optimization for Refractories

This paper introduced characteristics of refractories and step of simulation. During simulation,firstly analyzed mechanism of technology; secondly described the mechanism as quadratic equation; thirdly designed and executed experiment; later made regression equation and optimization; then found technical conflict; finally analyzed and resolved the conflict. Doing repeatedly like this,resolved difficult problems.

Charge-transfer interaction of drug quinidine with quinol,picric acid and DDQ: Spectroscopic characterization and biological activity studies towards understanding the drug–receptor mechanism

Investigation of charge-transfer （CT） complexes of drugs has been recognized as an important phenomenon in understanding of the drug-receptor binding mechanism. Structural, thermal, morpholo-gical and biological behavior of CT complexes formed between drug quinidine （Qui） as a donor and quinol （QL）, picric acid （PA） or dichlorodicyanobenzoquinone （DDQ） as acceptors were reported. The newly synthesized CT complexes have been spectroscopically characterized via elemental analysis;infrared （IR）, Raman, 1H NMR and electronic absorption spectroscopy; powder X-ray diffraction （PXRD）;thermogravimetric （TG） analysis and scanning electron microscopy （SEM）. It was found that the obtained complexes are nanoscale, semi-crystalline particles, thermally stable and spontaneous. The molecular composition of the obtained complexes was determined using spectrophotometric titration method and was found to be 1：1 ratios （donor：acceptor）. Finally, the biological activities of the obtained CT complexes were tested for their antibacterial activities. The results obtained herein are satisfactory for estimation of drug Qui in the pharmaceutical form

A User-Recommendation Method Based on Social Media

User-analysis techniques are mainly used to recommend friends and information. This paper discusses the data characteristics of microblog users and describes a multidimensional user rec- ommendation algorithm that takes into account microblog length, relativity between microblog and users, and familiarity between users. The experimental results show that this multidi- mensional algorithm is more accurate than a traditional recom- mendation algorithm.

微振动模拟与主被动隔振一体化实验平台

针对遥感卫星地面微振动实验的复杂要求,设计了一种同时具备微振动模拟与主被动隔振功能的一体化微振动实验平台,并对该平台的主、被动隔振性能以及微振动模拟效果分别进行了仿真分析和实验测试。其中,被动隔振由气浮支撑实现,主动隔振采用主动阻尼方法抑制共振峰,微振动模拟采用基于线性系统频响函数的控制策略。实验结果表明,平台前六阶的模态频率分布均小于10 Hz,被动隔振系统能大幅抑制10~200 Hz频段内的地面微振动;主动隔振能够实现14 dB的隔振系统共振峰衰减效果。微振动模拟功能能够有效产生接近星上的单频和多频真实扰动线谱,在特定频谱的扰动模拟实验中,幅值最大误差为5.9%,在误差允许范围内。该多功能一体化实验平台的各项功能均能满足地面模拟实验需求。

考虑材料时变性的服役中小跨径桥梁横向地震响应分析

构件材料性能会随服役时间的增加而退化,并导致桥梁结构抗震性能存在时变性。为探讨不同服役期下中小跨径桥梁抗震性能变化规律,以3跨预应力混凝土连续桥梁为例,通过分析材料力学性能指标时变性,量化不同服役期构件力学分析模型参数,并考虑桥墩、挡块及支座等构件力学性能退化,采用OpenSees软件建立桥梁有限元分析模型。基于非线性时程分析结果,揭示服役中小跨径桥梁横桥向地震响应时变性。研究结果表明,随着服役时间的增加,材料力学性能发生退化,使中小跨径桥梁各构件抗震能力下降;相同水平地震作用下,中小跨径桥梁主梁及挡块位移响应随服役时间的增加而降低,而桥墩损伤程度加剧,构件震害程度与不考虑构件力学性能时变性时相差较大,其中板式橡胶支座刚度及摩擦系数时变性是关键。因此,在服役中小跨径桥梁抗震分析中,有必要同时考虑桥墩、挡块及支座力学性能退化。

Modeling Cyber Loss Severity Using a Spliced Regression Distribution with Mixture Components

Cyber losses in terms of number of records breached under cyber incidents commonly feature a significant portion of zeros, specific characteristics of mid-range losses and large losses, which make it hard to model the whole range of the losses using a standard loss distribution. We tackle this modeling problem by proposing a three-component spliced regression model that can simultaneously model zeros, moderate and large losses and consider heterogeneous effects in mixture components. To apply our proposed model to Privacy Right Clearinghouse (PRC) data breach chronology, we segment geographical groups using unsupervised cluster analysis, and utilize a covariate-dependent probability to model zero losses, finite mixture distributions for moderate body and an extreme value distribution for large losses capturing the heavy-tailed nature of the loss data. Parameters and coefficients are estimated using the Expectation-Maximization (EM) algorithm. Combining with our frequency model (generalized linear mixed model) for data breaches, aggregate loss distributions are investigated and applications on cyber insurance pricing and risk management are discussed.

地铁线网性能分析及最小化韧性损失恢复策略

为更好地分析地铁线网性能,优化其在扰动状态下的恢复策略,采用基于复杂网络的地铁线网性能分析方法,并提出最小化韧性损失恢复策略.鉴于地铁线网复杂网络特征,采用Space L拓扑方法处理地铁线网,并运用复杂网络理论计算线网内各站点的基本参数,包括线网的度、平均路径和线网效率等.其次根据韧性理论以线网效率作为性能指标求解各站点韧性损失,采用遗传算法求解站点恢复序列.最后,以福州市为例,分析其地铁线网的复杂网络特征并进行扰动仿真,比较在多站点失效情况下的最小化韧性损失恢复策略与随机恢复策略的恢复效果.研究结果表明:在多个地铁站点受到扰动失效,采用最小化韧性损失恢复策略能够令地铁线网性能在恢复期间仍处于较优水平,恢复效果明显优于具有不确定性的随机恢复策略.

冷端管径对高压节流型涡流管性能影响分析

冷端管径(D_(c))是影响涡流管性能的重要因素之一,基于12 MPa的高压节流工况,以CH_(4)为计算工质,建立物理模型,改变D_(c)为36、38、40、42和44 mm。对比发现:随着D_(c)增大,冷端内旋气体温度逐渐下降,制冷效果提升;热端外旋气体温度先增加后下降,D_(c)=40 mm时制热效果最佳。反映出D_(c)与制冷效果呈正相关,但对制热效果存在最佳值。当D_(c)增大时,内旋气体总压下降幅度逐渐平缓,利于节流;在D_(c)≥40 mm时,外旋气体总压下降幅度变大,且变化不规律,节流时有损调节阀使用寿命。另外D_(c)=44 mm时,外旋气体速度变化规律异常。所以根据工况需求,可控制D_(c)尺寸来调节涡流管制冷制热效果。

考虑碳减排收益的高速公路差异化收费定价模型

高速公路差异化收费可以促进道路领域碳减排,助推“双碳”目标实现。文中将碳减排收益作为高速公路效益的组成部分,基于同时考虑高速公路效益和物流企业成本的目标,构建了基于双层规划的高速公路差异化收费定价模型。首先分析了货车路径选择因素;然后利用Logit模型构建了基于高速公路差异化收费的转移车流量测算方法和基于转移车流量的碳排放量测算方法,并提出了影子价格下的碳交易定价模型;最后,考虑碳减排效益部分最大化和物流企业成本最小化,提出了差异化收费双层规划模型,同时利用山东省高速公路A和并行国省道的车流量数据进行实例分析。结果表明:通过高速公路差异化收费策略的调整,双层规划模型在保证高速公路管理部门的最优化效益下可实现物流企业成本的最小化;在最优收费费率附近调整收费标准,对高速公路A的效益的影响较小,使得高速公路效益的波动影响低于1.5%,结果表现出良好的收益稳定性;文中所提出的差异化收费双层规划模型可实现高速公路碳减排效益最大化和物流企业成本最小化的目标。

五年制高等职业教育学校教师教科研现状调查与分析——基于南通卫生高职校近5年教科研成果数据统计

通过对南通卫生高等职业技术学校近5年教科研数据的统计,找出五年制高职学校教师在教科研方面存在的问题并分析其原因,从合理处理教学与科研的关系、提升教科研培育培训质量、促进教科研团队成长、健全学校教科研保障体系等方面提出五年制高职学校教师科研能力提升的策略与措施。