1,494 research outputs found
sj-docx-1-npx-10.1177_1934578X221103036 - Supplemental material for Synthesis and Antitumor Activity of Staurosporine Derivatives
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X221103036 for Synthesis and Antitumor Activity of Staurosporine Derivatives by Gang Li, Dan Wu, Yanchao Xu, Wenwen He, Dongyang Wang, Weiming Zhu and Liping Wang in Natural Product Communications</p
Fracture mechanisms of high-entropy alloys
No full textThis is the research data for the fracture mechanisms of high-entropy alloys
Image spam filtering using Fourier-Mellin invariant features
No full textImage spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spams by using the Fourier-Mellin invariant features is described. Fourier-Mellin features are robust for most kinds of image spam variations. A one-class classifier, the support vector data description (SVDD), is exploited to model the boundary of image spam class in the feature space without using information of legitimate emails. Experimental results demonstrate that our framework is effective for fighting image spam.Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu and Guan Lu
AN E-BROKERAGE APPROACH BASED ON MULTI-AGENT TECHNOLOGY
Get PDFIn this paper the author shows the importance of multi-agent system in the e-commerce domain, specially for brokerage. He also propose an agent-based architecture for brokerage and a structure for the intelligent broker. The structure may be seen like a multi-agent system, having intelligent agents that are doing specific tasks for brokerage activity. In the end, conclusions reveal some aspects that may be start points for future researches.E-commerce, intelligent agent, brokerage, multi-agent systems.
Improved Bounds for Randomly Colouring Simple Hypergraphs
Get PDFWe study the problem of sampling almost uniform proper q-colourings in k-uniform simple hypergraphs with maximum degree Δ. For any δ > 0, if k ≥ 20(1+δ)/δ and q ≥ 100Δ^({2+δ}/{k-4/δ-4}), the running time of our algorithm is Õ(poly(Δ k)⋅ n^1.01), where n is the number of vertices. Our result requires fewer colours than previous results for general hypergraphs (Jain, Pham, and Vuong, 2021; He, Sun, and Wu, 2021), and does not require Ω(log n) colours unlike the work of Frieze and Anastos (2017)
Supplemental Material - Online Focus Group Discussions to Engage Stigmatized Populations in Qualitative Health Research: Lessons Learned
No full textSupplemental Material for Online Focus Group Discussions to Engage Stigmatized Populations in Qualitative Health Research: Lessons Learned by Gifty Marley, Rayner Kay Jin Tan, Tong Wang, Chunyan Li, Margaret E. Byrne, Dan Wu, Cheng Wang, Weiming Tang, Rohit Ramaswamy, Danyang Luo, Sean S. Sylvia, and Joseph D. Tucker in International Journal of Qualitative Methods</p
The morphology and stratification of giant eddy bars reflect the variation in shape of palaeoflood hydrographs: a flume study.
No full textEvidence for ungauged large freshwater palaeofloods in valley-confined landscapes frequently includes giant flow-eddy bars, deposited in alcoves along the floodway margins. Elevations of the bar tops commonly are used to define the minimum water level for computational flood simulations. Field study has shown that giant bar stratigraphy and sedimentology can be distinctive; identifying the alluvial signature of large palaeofloods where the morphological evidence may be less clear. However, whether the shape and stratigraphy of eddy bars provide indicators as to the nature of the floodwaves has not been considered widely. Flood hydrographs might be dam-break surge waves, gradually varied, or steady flows, for example. Yet, if bar form and stratigraphy vary systematically with the nature of the flood wave, then bars have additional value in defining the style of unrecorded floodwaves for environmental interpretation and flood modelling purposes. An experimental water flume was used to reproduce three styles of scaled floodwave that might be associated with sudden and more protracted releases of water from upstream reservoirs. Discharge was through a channel consisting of a series of contractions and expansions. Eddy bars were deposited within the flow separation zones that formed at each flow expansion. The basic hydraulic characteristics of the floodwaves were recorded and the form of the bars and the stratigraphy were examined. The results indicate that each style of flood deposited a distinctive barform and related stratigraphy. In this manner, we demonstrate that the examination of the form and stratification of giant bars in the natural environment can provide information on the style of the palaeoflood – sudden release or protracted flow – that was responsible for the deposition of the bars. Such information assists with the identification and interpretation of the nature and source of the floodwater as well as informing attempts to model hydrograph shapes.<br/
Study on route division for ship energy efficiency optimization based on big environment data
No full textIn the case of the global energy crisis and the higher sound of energy saving and emission reduction, how to take effective management measures of ship energy efficiency to achieve the goal of energy saving and emission reduction, put forward a new challenge for the development of shipping technology. The application of big data technology provides a new idea for the research of ship energy efficiency optimization management. The energy efficiency management level of the operating ship can be improved by the analysis and mining of the big data. In this paper, a big data analysis platform for ship energy efficiency management based on the widely used Hadoop platform architecture is designed. Afterward, due to the huge amount of involved data on the energy efficiency management which has exceeded the processing ability of traditional solutions, the big data analysis method is used to achieve the route division according to environmental factors, thus to lay the foundation for speed optimization in different segments of a route. Finally, a simple decision-making method of optimal engine speed based on the result of route division is proposed, which could improve ship energy efficiency and hence reduce CO2 emission.Accepted Author ManuscriptTransport Engineering and Logistic
Template-assembled peptide models of the N-peptide helix bundle from HIV-1 Gp41
No full textThe HIV-1 pandemic is one of the most serious health problems facing the world today. Infection of target cells by HIV-1 is initiated by fusion of viral and cell membranes, which is mediated by the viral glycoproteins, gp120 and gp41. After initial cell binding by gp120, the folding of gp41 to form a stable six-helix bundle structure is directly associated with membrane fusion. This helix bundle is composed of an α-helical trimer of gp41 N-helices, with three copies of the α-helical gp41 C-peptides folded onto it in an antiparallel orientation. Peptides that interfere with the formation of this six-helix bundle structure by targeting either the N-helix or the C-helix are believed to be able to block the cell fusion process and therefore prevent HIV-1 infection.
In this study, we successfully synthesized three-helix peptide structures of gp41 as models of the internal N-helix bundle, by assembling three copies of N-peptides onto three-fold symmetric templates. The templates were derived from cis,cis-1,3,5-trimethylcyclohexane-1,3,5-tricarboxylic acid (Kemp's Triacid, KTA) or tris(2-aminoethyl)amine (TREN), which represent choices of rigid and flexible molecules, respectively, for organization of the folding of the N-peptide three-helix bundle.
Biophysical analysis of the four synthetic model structures, KTA-3N29, TREN-3N29, KTA-3N29b and TREN-3K-N29b, demonstrated that, at neutral pH, they all exist as monomers with high helix contents. Binding isotherms, measured by circular dichroism spectropolarimetry in the presence of physiological salt, indicated that KTA-3N29b binds three copies of the C-peptide native sequence, with a KD of about 260 nM, while TREN-3K-N29b binds to C-peptide with a KD in the low-micromolar range. Within the scope of this investigation, KTA-Br, the relatively more rigid template derived from KTA, was the best design for a template for the N-peptide bundle, since it generated the most helical, and most stable three-helix bundle structure with the highest binding affinity for C-peptides. These features of KTA-3N29b demonstrate that this templated three-helix bundle serves as a functional model for the native N-peptide structure that will allow detailed studies of the folding and thermodynamic stability of the gp41 six-helix bundle, and may aid the future development of potent HIV-1 fusion inhibitors and immunogens.Ph.D.Includes bibliographical references
Rank aggregation based text feature selection
No full textFiltering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms other feature selection methods in many cases when the dimension of features is large. There are so many filtering methods proposed in previous work leading to the “selection trouble” that how to select an appropriate filtering method for a given text data set. Since to find the best filtering method is usually intractable in real application, this paper takes an alternative path. We propose a feature selection framework that fuses the results obtained by different filtering methods. In fact, deriving a better rank list from different rank lists, known as rank aggregation, is a hot topic studied in many disciplines. Based on the proposed framework and Markov chains rank aggregation techniques, in this paper, we present two new feature selection methods: FR-MC1 and FR-MC4. We also introduce a perturbation algorithm to alleviate the drawbacks of Markov chains rank aggregation techniques. Empirical evaluation on two public text data sets shows that the two new feature selection methods achieve better or comparable results than classical filtering methods, which also demonstrate the effectiveness of our framework.Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Jun Gao and Hanzi Wan
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