Semantic similarity measure plays an essential role in Information Retrieval and Natural Language Processing. In this paper we propose a page-count-based semantic similarity measure and apply it in biomedical domains....
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Semantic similarity measure plays an essential role in Information Retrieval and Natural Language Processing. In this paper we propose a page-count-based semantic similarity measure and apply it in biomedical domains. Previous researches in semantic web related applications have deployed various semantic similarity measures. Despite the usefulness of the measurements in those applications, measuring semantic similarity between two terms remains a challenge task. The proposed method exploits page counts returned by the Web Search Engine. We define various similarity scores for two given terms P and Q, using the page counts for querying P, Q and P AND Q. Moreover, we propose a novel approach to compute semantic similarity using lexico-syntactic patterns with page counts. These different similarity scores are integrated adapting support vector machines, to leverage the robustness of semantic similarity measures. Experimental results on two datasets achieve correlation coefficients of 0.798 on the dataset provided by A. Hliaoutakis, 0.705 on the dataset provide by T. Pedersen with physician scores and 0.496 on the dataset provided by T. Pedersen et al. with expert scores.
Core-shell CdSe-ZnS quantum dots have been one of the most actively researched nanomaterials in the past decade. In this paper we introduce thiophene thiol (TPT) as a capping ligand on the CdSe-ZnS heterostructure. Th...
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ISBN:
(纸本)9781424458547
Core-shell CdSe-ZnS quantum dots have been one of the most actively researched nanomaterials in the past decade. In this paper we introduce thiophene thiol (TPT) as a capping ligand on the CdSe-ZnS heterostructure. These conjugated ligands allow for improved carrier transport in comparison to their saturated, long chain hydrocarbon counterparts. By demonstrating a robust and inexpensive method to deposit close packed monolayers of these nanostructures, we hope to open the door for a new family of low cost inorganic devices employing them.
There exists a need for additional transmission capacity to connect distributed resources such as wind energy from remote locations to the power grid. The high cost of running transmission lines necessitates having a ...
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ISBN:
(纸本)9781424465460
There exists a need for additional transmission capacity to connect distributed resources such as wind energy from remote locations to the power grid. The high cost of running transmission lines necessitates having a way to minimize the length of transmission required to connect the distributed resources to load centers. In addition, the substations that connect to the transmission lines need to be fault tolerant by ensuring that the loss of any one transmission line does not result in the loss of power to any substation. In this paper, the relative cost of connecting a range of sources to a range of loads with and without fault tolerance is presented. Fault tolerance is achieved through a 2-path redundant graph approach. Studies show that the additional cost of ensuring fault tolerance for selected schemes ranges between 8% and 33%. This percentage value can support decision making in practice.
Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), ...
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Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), have been applied in order to increase the clustering algorithm performance. GA and ACO-based clustering algorithms are capable of efficiently and automatically forming natural groups from a pre-defined number of clusters. This paper presents a GA and an ACO algorithm to the clustering problem. Both algorithms were refined using local search in order to improve the clustering accuracy. The results are compared on numeric UCI databases.
A systematic study to investigate the effectiveness of ion implanted N+ as a dopant for ZnO and a co-dopant in silver doped ZnO (ZnO:Ag, SZO) thin films was performed. ZnO and SZO films were grown on sapphire (0001)
A systematic study to investigate the effectiveness of ion implanted N+ as a dopant for ZnO and a co-dopant in silver doped ZnO (ZnO:Ag, SZO) thin films was performed. ZnO and SZO films were grown on sapphire (0001)
In this paper, we investigate a dual-hop opportunistic decode-and-forward relaying scheme where the source may or not be able to communicate directly with the destination. We first derive statistics based on exact pro...
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In this paper, we investigate a dual-hop opportunistic decode-and-forward relaying scheme where the source may or not be able to communicate directly with the destination. We first derive statistics based on exact probability density function (PDF) of each hop. Then, the PDFs are used to determine closed-form outage probability expression for a transmission rate R. Furthermore, we evaluate the asymptotic outage performance and the diversity order is deduced. Unlike existing works where the analysis focused on high signal-to-noise ratio (SNR) regime, such results are important to enable the designers to take decisions regarding practical systems that operate at low SNR regime. We show that performance simulation results coincide with our analytical results under practical assumption of unbalanced hops.
Ion channel is the regulatory mechanism for electrical activity in pancreatic islet cells through stimulus-secretion coupling. Changes in membrane potential are regulated by the glucose concentration-dependent ion cha...
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Ion channel is the regulatory mechanism for electrical activity in pancreatic islet cells through stimulus-secretion coupling. Changes in membrane potential are regulated by the glucose concentration-dependent ion channel activities. The alteration of glucose concentration is linked to the open probability of ATP-sensitive K + channels by insulin secretion. At the meantime, the change of glucose concentration can cause the reorganization of the membrane as well as the cytoskeleton, resulting in the change of cellular stiffness. By using an integrated AFM and cell manipulation system, we were able to measure the cell stiffness and structural change simultaneously upon the glucose stimulation. The cell stiffness increases substantially in a dosage-dependent manner after stimulation by real time AFM nanoindentation measurement. Structurally, the cell height decrease dynamically with the glucose concentration increase. Therefore we have a unique Bio Marker to characterize the ion channel activity using different modalities. This result indicates that the open and close of ion channel would lead to the change of membrane structure and thus the cell body exhibits a different cellular stiffness. The study will enhance our understanding of pancreatic islet cell stimulus coupling and insulin secretion.
For the first time, we studied the applicability of a conditioning-based model to a heterogeneous data set composed of expression values for microRNA, total mRNA and polysomal mRNA resulting from experiments about two...
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For the first time, we studied the applicability of a conditioning-based model to a heterogeneous data set composed of expression values for microRNA, total mRNA and polysomal mRNA resulting from experiments about two dietary contexts. The results suggest that some of the microRNAs are likely to be involved in the regulation of a large set of genes and not just their putative targets. Furthermore, the regulatory activities of intestinal microRNA appear to be dependent on the sub-cellular location of mRNA within the cell.
The clinical data stored in the health information system can be categorized as two types including structuralized data and non-structuralized ones. In the paper, a data extraction system is developed to assist data r...
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The clinical data stored in the health information system can be categorized as two types including structuralized data and non-structuralized ones. In the paper, a data extraction system is developed to assist data retrieval from the non-structuralized textual clinical documents such as radiology reports, pathology reports, etc. The system provides keyword-based and semantic-driven data matching methodology to extract the specific information from the textual clinical documents. The matching methodology provides the capabilities to recognize the selected keywords and the related semantics in the documents. Through the extraction verification interface, clinicians can extract and verify the matched information semi-automatically. The extracted data can be filled into predefined case-oriented templates. The structuralized data can be stored back into the clinical data warehouse for further analyzing. Moreover, the case-oriented templates can support collecting corresponding extracted data for various researches.
The full abstracts of the Distinguished Lecturers\' talks and the Lecturers\' biographies appeared in the June 2009 issue of the Magazine. This information can also be obtained by sending an email request to *...
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The full abstracts of the Distinguished Lecturers\' talks and the Lecturers\' biographies appeared in the June 2009 issue of the Magazine. This information can also be obtained by sending an email request to ***@***, or via a link at http://***.
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