Effects of key reaction parameters on the reductive dechlorination of chloroform with Pd/Fe? bimetal in aqueous solution

2009-2010 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Effect of Granulocyte-Colony Stimulating Factor on Endothelial Cells and Osteoblasts

published_or_final_versio

Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited]

This paper proposes a machine-learning (ML)-aided cognitive approach for effective bandwidth reconfiguration in optically interconnected datacenter/high-performance computing (HPC) systems. The proposed approach relies on a Hyper-X-like architecture augmented with flexible-bandwidth photonic interconnections at large scales using a hierarchical intra/inter-POD photonic switching layout. We first formulate the problem of the connectivity graph and routing scheme optimization as a mixed-integer linear programming model. A two-phase heuristic algorithm and a joint optimization approach are devised to solve the problem with low time complexity. Then, we propose an ML-based end-to-end performance estimator design to assist the network control plane with intelligent decision making for bandwidth reconfiguration. Numerical simulations using traffic distribution profiles extracted from HPC applications traces as well as random traffic matrices verify the accuracy performance of the ML design estimator (<9% error) and demonstrate up to 5 x throughput gain from the proposed approach compared with the baseline Hyper-X network using fixed all-to-all intra/inter-portable data center interconnects. (C) 2021 Optical Society of Americ

沿海地区dinsar形变探测 : 精度与可应用性分析

Author name used in this publication: 刘国祥Author name used in this publication: 丁晓利, DING Xiao-liTitle in Traditional Chinese: 沿海地區DInSAR形變探測:精度與可應用性分析Journal title in Traditional Chinese: 測繪通報2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Compensation ratio-dependent concentration of a V InH 4 complex in n-type liquid encapsulated Czochralski InP

The concentration of hydrogen-indium vacancy complex V InH 4 in liquid encapsulated Czochralski undoped and Fe-doped n-type InP has been studied by low-temperature infrared absorption spectroscopy. The V InH 4 complex is found to be a dominant intrinsic shallow donor defect with concentrations up to ∼10 16 cm -3 in as-grown liquid encapsulated Czochralski InP. The concentration of the V InH 4 complex is found to increase with the compensation ratio in good agreement with the proposed defect formation model of Walukiewicz [W. Walukiewicz, Phys. Rev. B 37, 4760 (1998); Appl. Phys. Lett. 54, 2094 (1989)], which predicts a Fermi-level-dependent concentration of amphoteric defects. © 1998 American Institute of Physics.published_or_final_versio

CO2geological sequestration modelling and injection induced fracturing analysis of the caprock

In geological sequestration, CO2is injected under high pressure into deep underground rock formations, including deep saline aquifers. This paper presents the invading supercritical CO2-brine two-phase numerical model to describe CO2flow and transport processes in deep saline aquifers. The effects of anisotropy and different kinds of heterogeneity like horizontal and vertical layers and also existence of barriers between layers on the CO2flow and transport in a saturated porous media with brine are investigated using the presented two-phase model. Following to simulation results, it can be obtained that the permeability of the rock formations and the permeability anisotropy should be considered as the most important parameters in CO2flow and transport processes and its distribution in the rock formations. Furthermore, the capillary pressure on the buoyancy-driven flow of CO2is analyzed, and the XFEM is adopted to simulate the injection induced fracturing process of the naturally fractured caprock. © 2013 Taylor & Francis Group

Effect of Ovariectomy on Stimulating Intracortical Remodeling in Rats

published_or_final_versio

Promotion of ganoderic acid production in Ganoderma sinense by the addtion of an ether extract from Eupolyphaga sinensis, a medicinal insect

To screen stimulators from Chinese medicinal insects for mycelial growth and ganoderic acid (GA) production by Ganoderma sinense, the fungus was inoculated into the media with and without supplementation of a medicinal insect extract. The results show that all the water and ether extracts from the medicinal insects had no significant stimulatory effect on the biomass production (P &gt; 0.05), and the extracts of Hydrotrechus remigator and Mylabris phalerata significantly inhibited the mycelial growth. However, the ether extract of Eupolyphaga sinensis at a concentration of 60 mgL-1 led to a significant increase in GA concentration from 187.6 ± 8.32 to 251.3 ± 11.27 mgL-1 (P &lt; 0.01). Analysis of fermentation kinetics of G. sinense suggests that glucose concentration in the E. sinensis extract treatment group decreased more quickly as compared to the control group in the last 4 days of fermentation process, while the GA biosynthesis was promoted at the same period. However, the culture pH profile was not affected by the addition of the ether extract of E. sinensis.Key words: Medicinal fungus, Ganoderma sinense, submerged fermentation, Eupolyphaga sinensis, ganoderic acid

Simultaneous determination of flavonoids and triterpenoids in Cyclocarya paliurus leaves using high-performance liquid chromatography

Background: Cyclocarya paliurus is an endangered plant and endemic to China. The leaves of C. paliurus have been used in drug formulations and as ingredients in functional foods in China. The aim of this study was to develop an effective method to extract most of the compounds and to establish a simplified HPLC analytical method to determine the contents of major bioactive compounds simultaneously.Materials and methods: High-performance liquid chromatography (HPLC) coupled with a photodiode array detector (PDA) was used for the simultaneous determination of the major flavonoids and triterpenoids in C. paliurus leaves.Results: Ultrasonic extraction in 100% methanol for 30 min was adopted as the optimal extraction method for C. paliurus leaves. The separation conditions were optimized using a Phenomenex C18 ODS column (250 mm × 4.6 mm, 5 μm) with a mobile phase of acetonitrile and 0.02% formic acid and a detection wavelength of 205 nm. The validation data indicated that this new HPLC analytical method successfully quantified the provenance and seasonal variations of seven major compounds (three flavonoids and four triterpenoids) in C. paliurus leaves.Conclusion: The study provided a novel and simplified approach to simultaneously determine the quantity of major flavonoids and triterpenoids in C. paliurus leaves. The results could promote the optimization of silvicultural systems for quality control of C. paliurus.Key words: Cyclocarya paliurus; HPLC; flavonoids; triterpenoid

A computational cognition model of perception, memory, and judgment

The mechanism of human cognition and its computability provide an important theoretical foundation to intelligent computation of visual media. This paper focuses on the intelligent processing of massive data of visual media and its corresponding processes of perception, memory, and judgment in cognition. In particular, both the human cognitive mechanism and cognitive computability of visual media are investigated in this paper at the following three levels: neurophysiology, cognitive psychology, and computational modeling. A computational cognition model of Perception, Memory, and Judgment (PMJ model for short) is proposed, which consists of three stages and three pathways by integrating the cognitive mechanism and computability aspects in a unified framework. Finally, this paper illustrates the applications of the proposed PMJ model in five visual media research areas. As demonstrated by these applications, the PMJ model sheds some light on the intelligent processing of visual media, and it would be innovative for researchers to apply human cognitive mechanism to computer science.</p