Cloud computing environments may offer different levels of abstraction to its users. Federated identity management, though, does not leverage these abstractions;each user must set up her identity management solution. ...
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In this study, we explored the students' computer-supported collaborative learning behavior based on the Facebook platform. Sixty two senior college students major in Information Management took Decision Support S...
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ISBN:
(纸本)9789810746490
In this study, we explored the students' computer-supported collaborative learning behavior based on the Facebook platform. Sixty two senior college students major in Information Management took Decision Support System (DSS) class. Besides the lectures and class discussion, the students participated in the DSS Facebook for collaborative learning. We found that students' characteristics (e.g., gender and mindset of learning) are important factors to affect their Facebook usage behavior and learning performance. The students using DSS Facebook more often get better performance in their final projects, learning satisfaction and the online communication behavior survey. We also found that gender affects the usage of social networks platform. For instance, male students use social networks platform several times per week and get better performance in online communication, learning satisfaction and creativity self-efficacy.
Reservoir Computing (RC) is a computational model in which a trained readout layer interprets the dynamics of a component called a reservoir that is excited by external input stimuli. The reservoir is often constructe...
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In this paper we describe a novel clutter cancellation platform based on a two stage approach that combines a feedback guided predictive front-end hybrid clutter canceller with high performance back-end filtering and ...
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We characterize the impact of the Cell Broadband Engine architecture, on commonly used radar DSP algorithms. We use the capabilities of the CBE to accelerate several key computational kernels including Matrix Multipli...
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We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic Bayesian Network (DBN) that infers prob...
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The aim of this study is to compare forces generated by three different orthodontic closed coil springs supplied by three companies, optical fiber Bragg gratins are used to evaluate the force of closing of springs. &#...
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Tumor-associated macrophages （TAMs） play a critical role in melanoma growth and metastasis. Infiltration of TAMs correlates with the poor prognosis of melanoma. TAMs are differentiated from monocytes in response to ...
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Tumor-associated macrophages （TAMs） play a critical role in melanoma growth and metastasis. Infiltration of TAMs correlates with the poor prognosis of melanoma. TAMs are differentiated from monocytes in response to the tumor microenvironment cue. However, the mechanism how TAMs adapt to the tumor microenvironment after differentiation from monocytes is not fully understood. In addition, specific identification of TAMs in melanoma is difficult because the expression of the most commonly used macrophage marker, CD68, is also expressed in melanoma cells. In an earlier study, we found by gene microarray analysis that seven members of the metallothionein （MTs） family were upregulated in melanoma-conditioned medium induced macrophages （MCIM-MO）. MTs have been implicated in zinc metabolism and inflammation. In the present study, we confirmed that expression of metallothionein is induced in M-CSF differentiated macrophages （M-CSF/M~） and MCIM-M~ at both the mRNA and protein levels using real-time PCR, immunofluorescence, and western blot analysis. Furthermore, we demonstrated the presence of metallothionein in melanoma tissues in vivo and that metallothionein was co-localized with TAMs markers, CD68 and CD163. Finally, we demonstrated the induction of the zinc importer gene Zip8 both in M-CSF/MO and MCIM-MO. Our study identifies metallothionein as a novel marker for TAMs and suggests that metaliothionein might play important roles in macrophage adaptation and function in the tumor microenvironment.
In this paper we describe an extension to the MATLAB Phased Array Toolkit that adds a configurable clutter object to model clutter signals returned along a specified signal path. The clutter model is based on the Simk...
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In this paper we describe an extension to the MATLAB Phased Array Toolkit that adds a configurable clutter object to model clutter signals returned along a specified signal path. The clutter model is based on the Simkins Unified Clutter Model[1]. The current implementation supports sea clutter in any of five sea states with configurable polarization, grazing angle, and beam width. We describe the implementation and give examples of modeled clutter returns.
Ad hoc wireless network with black hole attacks, denial of service attacks and malicious attacks are investigated to study if we can detect harmful activities in a timely manner. A popular simulator NS2 was used to cr...
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Ad hoc wireless network with black hole attacks, denial of service attacks and malicious attacks are investigated to study if we can detect harmful activities in a timely manner. A popular simulator NS2 was used to create a controlled wireless network environment. The network was built with 33 nodes with AODV protocol and traffic data was collected from the network. The probability based Naïve Bayesian classifier was used with 10 attributed derived from the traffic data. The classification rates obtained is over 97% when numeric attribute values are discretized in Naïve Bayesian classifier. It is observed that in our network simulation, denial-of-service attacks and black hole attacks are always correctly detected while malicious attacks and normal traffic are not.
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