114 research outputs found
A User Behavior Based Study on Search Engine Ranking
In this era of information explosion, finding convenient ways to get the desired information is becoming ever more vital today. With a review of the existing information retrieval and feedback technology, this paper puts forward a method to establish and update user profile model through obtaining user’s implicit feedbacks. The user’s explicit information is not a must. Instead, this method, with the implicit information acquired by observing the behaviors of the users when browsing web pages, establishes and updates the user profile model and thus reduces the workload.Keywords: Information retrieval?Implicit feedback?Relevance feedback; User profile mode
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In situ structures of the segmented genome and RNA polymerase complex inside a dsRNA virus.
Viruses in the Reoviridae, like the triple-shelled human rotavirus and the single-shelled insect cytoplasmic polyhedrosis virus (CPV), all package a genome of segmented double-stranded RNAs (dsRNAs) inside the viral capsid and carry out endogenous messenger RNA synthesis through a transcriptional enzyme complex (TEC). By direct electron-counting cryoelectron microscopy and asymmetric reconstruction, we have determined the organization of the dsRNA genome inside quiescent CPV (q-CPV) and the in situ atomic structures of TEC within CPV in both quiescent and transcribing (t-CPV) states. We show that the ten segmented dsRNAs in CPV are organized with ten TECs in a specific, non-symmetric manner, with each dsRNA segment attached directly to a TEC. The TEC consists of two extensively interacting subunits: an RNA-dependent RNA polymerase (RdRP) and an NTPase VP4. We find that the bracelet domain of RdRP undergoes marked conformational change when q-CPV is converted to t-CPV, leading to formation of the RNA template entry channel and access to the polymerase active site. An amino-terminal helix from each of two subunits of the capsid shell protein (CSP) interacts with VP4 and RdRP. These findings establish the link between sensing of environmental cues by the external proteins and activation of endogenous RNA transcription by the TEC inside the virus
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Cryo-EM structure of the mature dengue virus at 3.5-Ă… resolution.
Regulated by pH, membrane-anchored proteins E and M function during dengue virus maturation and membrane fusion. Our atomic model of the whole virion from cryo-electron microscopy at 3.5-Ă… resolution reveals that in the mature virus at neutral extracellular pH, the N-terminal 20-amino-acid segment of M (involving three pH-sensing histidines) latches and thereby prevents spring-loaded E fusion protein from prematurely exposing its fusion peptide. This M latch is fastened at an earlier stage, during maturation at acidic pH in the trans-Golgi network. At a later stage, to initiate infection in response to acidic pH in the late endosome, M releases the latch and exposes the fusion peptide. Thus, M serves as a multistep chaperone of E to control the conformational changes accompanying maturation and infection. These pH-sensitive interactions could serve as targets for drug discovery
Novel Modelling Strategies for High-frequency Stock Trading Data
Full electronic automation in stock exchanges has recently become popular,
generating high-frequency intraday data and motivating the development of near
real-time price forecasting methods. Machine learning algorithms are widely
applied to mid-price stock predictions. Processing raw data as inputs for
prediction models (e.g., data thinning and feature engineering) can primarily
affect the performance of the prediction methods. However, researchers rarely
discuss this topic. This motivated us to propose three novel modelling
strategies for processing raw data. We illustrate how our novel modelling
strategies improve forecasting performance by analyzing high-frequency data of
the Dow Jones 30 component stocks. In these experiments, our strategies often
lead to statistically significant improvement in predictions. The three
strategies improve the F1 scores of the SVM models by 0.056, 0.087, and 0.016,
respectively.Comment: 28 pages, 5 tables, 5 figure
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