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Predictors of Entrepreneurial Innovation Attitude: Implications for Arts and Business Pedagogy
No full textThe innovative attitudes of 273 business and arts students in a small mid-Atlantic university were examined. Results based on the Robinson, Stimpson, Huefner, and Hunt (1991) Entrepreneurial Attitudes Orientation model indicated that non- business students possessed innovative attitudes. Results indicated that overall, arts students had significantly higher innovative attitude scores than business students. Both arts and business student innovation scores were significantly related to exposure to entrepreneurship and several demographic characteristics. In addition, the innovative scores were higher for arts students who had taken at least one business course
QKD initiated by Authentication of EPR in 3 way channel
No full text© ASEE 2015Quantum key distribution (QKD) is one of the recent revolutions in cryptography field that was announced in first by Charles Bennett and Gilles Brassard in 1984. Here we create another QKD protocol that based on the three channel to communicate between two parties, and also ensures the connection is never established without providing the right identity in the first channel. Therefore, using the EPR pair in the first channel to approve the authentication in short time
Social Profiling of Flickr: Integrating Multiple Types of Features for Gender Classification
No full textWith the pervasive use of social media sites, an extraordinary amount of data has been generated in different data types such as text and image. Combining image features and text information annotated by users reveals interesting properties of social user mining, and serves as a powerful way of discovering unknown information about the users. However, there has been few research work reported about combination of image and text data for social user mining. In this study, we propose a novel idea to classify the gender of user by integrating multiple types of features. We utilize not only text information, i.e., tag or description, but also images posted by a user with semantic based data fusion technique
How Patients with Alzheimer’s disease and their caregivers benefits from practicing mindfulness
No full textAlzheimer’s disease is one of the most common and devastating of the major form of dementia. This neurodegenerative disorder affects about 35 million people nationwide based on previous studies. Caregivers of Alzheimer’s patient are most likely to be stressed, and lead to depression, especially when the caregiver is a family member. These individuals practicing mindfulness techniques show evidence in brain alteration and immune function most specific to telomeres during these stressful periods. Current literatures have been reviewed supporting evidence of this study
Enzymatic Characterization of Leishmania major Phosphatidylethanolamine Methyltransferases LmjPEM1 and LmjPEM2
No full textPhosphatidylcholine (PC) is the most abundant phospholipid in the membranes of the human parasite Leishmania. It is synthesized via two metabolic routes, the de novo pathway that starts with the uptake of choline, and the threefold methylation of phosphatidylethanolamine. Choline was shown to be dispensable for Leishmania; thus, the methylation pathway likely represents the primary route for PC production. Here, we have identified and characterized two phosphatidylethanolamine methyltransferases, LmjPEM1and LmjPEM2. Both enzymes are expressed in promastigotes as well as in the vertebrate form amastigotes, suggesting that these methyltransferases are important for the development of the parasite throughout its life cycle. Heterologous expression in yeast has demonstrated that LmjPEM1 and LmjPEM2 complement the choline auxotrophy phenotype of a yeast double null mutant lacking phosphatidylethanolamine methyltransferase activity. LmjPEM1 catalyzes the first, and to a lesser extent, the second methylation reaction. In contrast, LmjPEM2 has the capacity to add the second and third methyl group onto phosphatidylethanolamine to yield (lyso)PC; it can also add the first methyl group, albeit with very low efficiency
The Scribe
No full textThis is the March 2014 edition of the Scribe, Issue 4. The front page features articles on Necessary Voices, a series of poetry readings, lectures, and discussions, as well as the upcoming Student Leadership Recognition Banquet. Additional coverage includes the UB Chiropractic College and entertainment news
Efficient Sleep Stage Classification Based on EEG Signals
No full textCurrently, sleep disorders are considered as one of the major human life issues. There are several stable physiological stages that the human brain goes through during sleep. In this work, Butterworth band-pass filters are designed to filter and decompose the Electroencephalogram signal (EEG) into five sub-bands δ, Ɵ, α, β and γ. In addition, various discriminating features including energy, standard deviation, entropy are computed and extracted from above frequency sub-bands. The features are then fed to a supervised learning classifier; support vector machine (SVM) to be able to recognize the sleep stages and identify if the acquired signal is corresponding to awake or stage 1. The experimental results on a variety of subjects verify the high classification accuracy of the proposed work with 92.5 %
Microcontroller Implementation of Fuzzy Guidance
No full textIn the last few years microcontrollers found a big place in industrial applications. It had been
used in many applications such as washing machines, textile machines and many other fields.
Microchip PIC microcontrollers are one of the most used types of microcontroller. In this paper
we consider a method which can be used to implement a fuzzy control system and the
description of this implementation technique. The proposed method will be applied to
implement the fuzzy guidance systems on a microchip PIC16F877A
microcontroller system