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Search Results: 1 - 10 of 81563 matches for " Xiaohui Liu "
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Influence of High-Velocity Blood Flow on Right-to-Left Shunt in Patients with Patent Foramen Ovale during the Valsalva Maneuver  [PDF]
Xiaohui Zhang, Baomin Liu
Journal of Biosciences and Medicines (JBM) , 2019, DOI: 10.4236/jbm.2019.71002
Abstract: In this study, we investigated the changes in the right-to-left shunt (RLS) of the patent foramen ovale (PFO) at different phases of the Valsalva maneuver and analyzed the possible mechanisms. The study population consisted of 57 patients with symptoms highly suggestive of a PFO. These patients had been diagnosed with apsychia, migraine with aura, cerebral infarction, transient ischemic attack (TIA), and cerebral ischemia with unknown cause. Routine echocardiography was performed in all patients to rule out a cardiac malformation. Contrast-transcranial Doppler (c-TCD) and contrast-enhanced transthoracic echocardiography (c-TTE) were used to visualize and quantify the RLS. The standard apical four chamber view was used to observe the changes of E peak, A peak, and velocity-time integral (VTI) ratio of tricuspid blood flow during the strain phase and release phase of the Valsalva maneuver. Paired t-test was used to compare E peak, A peak, and VTI ratio of tricuspid blood flow during the different phases. The right-to-left shunt across the PFO (PFO-RLS) was graded in the two phases and compared by Kruskal-Wallis test. Compared with the strain phase of the Valsalva maneuver, the parameters of E, A, and VTI in diastolic period in patients with PFO-RLS at the release phase were significantly increased [54.30 ± 13.65 cm/s vs 100.35 ± 21.11 cm/s, 42.21 ± 12.32 cm/s vs 57.30 ± 18.88 cm/s, 10.34 ± 3.27 cm/s vs 19.58 ± 4.56 cm/s, respectively], and the difference was statistically significant. The positive consequence of PFO-RLS, as diagnosed by c-TTE with the Valsalva maneuver at the release phase of the Valsalva maneuver, was significantly higher than that at the strain phase of the Valsalva maneuver. At the beginning of release phase of the Valsalva maneuver, decreased intrathoracic pressure led to increased venous backflow into the right atrium. Thus, high-velocity blood flow rapidly pushed the PFO open, which resulted in a significant increase in the PFO-RLS. Therefore, the increase of the PFO-RLS during the Valsalva maneuver is caused by the impact of high-velocity blood flow the PFO.
Fast and exact implementation of 3-dimensional Tukey depth regions
Xiaohui Liu
Statistics , 2014,
Abstract: Tukey depth regions are important notions in nonparametric multivariate data analysis. A $\tau$-th Tukey depth region $\mathcal{D}_{\tau}$ is the set of all points that have at least depth $\tau$. While the Tukey depth regions are easily defined and interpreted as $p$-variate quantiles, their practical applications is impeded by the lack of efficient computational procedures in dimensions with $p > 2$. Feasible algorithms are available, but practically very slow. In this paper we present a new exact algorithm for 3-dimensional data. An efficient implementation is also provided. Data examples indicate that the proposed algorithm runs much faster than the existing ones.
Fast implementation of the Tukey depth
Xiaohui Liu
Statistics , 2014,
Abstract: This paper presents two new algorithms for fast calculating the Tukey depth of dimensions $p \ge 3$. The first algorithm is naive, and can compute \emph{exactly} the Tukey depth of a single point with complexity $O\left(n^{p-1}\log(n)\right)$. Compared to the first, the second algorithm further utilizes the \emph{quasiconcave} of the Tukey depth function, and hence can be implemented with complexity less than $O\left(\frac{1}{2^{p-2}} n^{p-1}\log(n)\right)$. Both of them are of \emph{combinatorial} properties. Experiments show that the proposed algorithms require quite minimum memory and run much faster than the existing procedures.
Processing expertise systematically
Processing Expertise Systematically

Xiaohui Liu,
Liu
,Xiaohui

计算机科学技术学报 , 1991,
Abstract: The lack of a systematic approach to the management of expertise represents a major difficulty for knowledge engineers. In this paper, we present a framework for assessing knowledge-based expert systems. We show by examples how this framework may be used to guide the development of these systems. Finally, we discuss the implications of this work and suggest areas of interest for future research.
Study of Optimization Assigned on Location Selection of an Automated Stereoscopic Warehouse Based on Genetic Algorithm  [PDF]
Tongjuan Liu, Xiaoxia Ma, Xiaohui Zhan
Open Journal of Social Sciences (JSS) , 2016, DOI: 10.4236/jss.2016.47008
Abstract:

In twenty-first century, automated stereoscopic warehouse has attracted many attentions of the enterprises because it has high working efficiency. The operation efficiency and management benefit of an automated stereoscopic warehouse are affected directly by the order picking efficient, it is an important symbol of service level about the automated stereoscopic warehouse. This paper from the perspective of the warehouse management to discuss the issue, the optimization assigned of location selection is regarded as the ultimate goal. A multi-objective mathematical model is established by setting “job efficiency” and “turnover rate” as objective functions, “warehouse space layout” as the constraint condition, and the genetic algorithm is used for coding this mathematical model which is applied to a pharmaceutical warehouse and solved by using Matlab software, result shows that the picking efficiency of normal temperature zone and the turnover of cargo area are have been greatly improved.

Seafarer’s Competency Synthetic Assessment Based on Cloud Models
Xiaohui Zhang,Zhengjiang Liu
Journal of Computers , 2011, DOI: 10.4304/jcp.6.2.263-270
Abstract: In order to process the uncertainty information in assessing human element, in this paper, a synthetic assessment method is proposed to seafarers’ competency based on cloud models, where various uncertainties in the system are well kept and modeled by cloud theory. The presented approach focuses on effectively modeling the quantitative and qualitative variables of attribute factors of rules’ antecedents and seccedents, and the optimal cloud models based on the relative cloud theory are found. Then the post-condition cloud of corresponding rule is fired by foregoing cloud models through ‘logic and’ or ‘soft-and’ operator. Furthermore, fuzzy comprehensive evaluation is utilized to build rule base. Finally, the output will be constructed by means of backward cloud. That is the final assessment result which is depicted by the cloud graph in the original synthetic evaluation cloud models. Since the post-condition’ activated operators are different, experiments are conducted to analyze the different effects. Experiments are also conducted to compare the proposed paradigm with the fuzzy synthetic judgment in seafarers’ competency assessment. Simulation research shows that the proposed algorithm is more intuitive, flexible, reliable and consistent with human thinking.
Information Integration of CPFR in Automobile Parts Inbound Logistics Based on Internet of Things
Xiaohui Liu,Youwang Sun
Journal of Computers , 2012, DOI: 10.4304/jcp.7.2.349-355
Abstract: With the improvement of supply chain management and development of information technology, the nature of business processes has changed from intra-enterprise to cross-enterprise. Collaborative Planning, Forecasting and Replenishment (CPFR) come into being in this case. This research aims to looks at the literature of CPFR and the Internet of Things, and then analyzes the information integration of CPFR in automobile parts inbound logistics. The CPFR reference model is designed to fit many scenarios and the paper focuses on the information integration of CPFR model in the scenario of automobile parts inbound logistics based on the environment of Internet of Things.
Information Flow Management of Vendor-Managed Inventory System in Automobile Parts Inbound Logistics Based on Internet of Things
Xiaohui Liu,Youwang Sun
Journal of Software , 2011, DOI: 10.4304/jsw.6.7.1374-1380
Abstract: Reducing inventory levels is a major supply chain management challenge in automobile industries. With the development of information technology new cooperative supply chain contracts emerge such as Vendor-Managed Inventory (VMI). This research aims to look at the literature of information management of VMI and the Internet of Things, then analyzes information flow model of VMI system. The paper analyzes information flow management of VMI system in automobile parts inbound logistics based on the environment of Internet of Things.
High precision predictions for exclusive $VH$ production at the LHC
Ye Li,Xiaohui Liu
Physics , 2014, DOI: 10.1007/JHEP06(2014)028
Abstract: We present a resummation-improved prediction for $VH$ + 0 jets production at the Large Hadron Collider. We focus on highly-boosted final states in the presence of jet veto to suppress the $t{\bar t}$ background. In this case, conventional fixed-order calculations are plagued by the existence of large Sudakov logarithms $\alpha_s^n \log^m (p_T^{veto}/Q)$ for $Q\sim m_V + m_H$ which lead to unreliable predictions as well as large theoretical uncertainties, and thus limit the accuracy when comparing experimental measurements to the Standard Model. In this work, we show that the resummation of Sudakov logarithms beyond the next-to-next-to-leading-log accuracy, combined with the next-to-next-to-leading order calculation, reduces the scale uncertainty and stabilizes the perturbative expansion in the region where the vector bosons carry large transverse momentum. Our result improves the precision with which Higgs properties can be determined from LHC measurements using boosted Higgs techniques.
Reducing theoretical uncertainties for exclusive Higgs plus one-jet production at the LHC
Xiaohui Liu,Frank Petriello
Physics , 2013, DOI: 10.1103/PhysRevD.87.094027
Abstract: We resum a class of large Sudakov logarithms affecting Higgs boson production in the exclusive one-jet bin at the LHC. We extend previous results by calculating the full one-loop soft function for this process, which extends the accuracy of the resummation to include the leading three logarithmic corrections at each order in the QCD coupling constant. We match this result to the next-to-leading order cross section and present a detailed numerical study assuming realistic LHC cuts. Careful attention is paid to the matching procedure, and to the theoretical uncertainties induced by residual scale variation. We find that the matched NLL'+ NLO cross section has significantly smaller uncertainties than the fixed-order result, and can be used to alleviate the theoretical errors hindering current Higgs analyses at the LHC.
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