4,040 research outputs found

    Energy levels of a parabolically confined quantum dot in the presence of spin-orbit interaction

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    We present a theoretical study of the energy levels in a parabolically confined quantum dot in the presence of the Rashba spin-orbit interaction (SOI). The features of some low-lying states in various strengths of the SOI are examined at finite magnetic fields. The presence of a magnetic field enhances the possibility of the spin polarization and the SOI leads to different energy dependence on magnetic fields applied. Furthermore, in high magnetic fields, the spectra of low-lying states show basic features of Fock-Darwin levels as well as Landau levels.Comment: 6 pages, 4 figures, accepted by J. Appl. Phy

    Text Mining e-Complaints Data From e-Auction Store With Implications For Internet Marketing Research

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    This study seeks to analyze the effectiveness of the text mining process.  Complaint forums on various consumer report websites will be analyzed using text and data mining software.  Data from feedback forums will be compiled and analyzed using a text miner software program.  The relationships and patterns among keywords and their associations will be cluster-analyzed to gain a deeper understanding of the data. A case study will also be conducted to assay the effectiveness of text mined.  The data of Internet complaint forum, http://www.planetfeeback.com, will be text mined.  The decision to use an Internet complaint forum as the case subject was made because of its easy access and reputation as storage medium for large sources of data.  The main goal of this study is to gauge the effectiveness of text mining.  The complaint forum will be text mined to find relationships.  The results will then be analyzed and then interpreted to determine the effectiveness of the text and data mining process.   &nbsp

    Instrumentation of a high-sensitivity microwave vector detection system for low-temperature applications

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    We present the design and the circuit details of a high-sensitivity microwave vector detection system, which is aiming for studying the low-dimensional electron system embedded in the slots of a coplanar waveguide at low temperatures. The coplanar waveguide sample is placed inside a phase-locked loop; the phase change of the sample may cause a corresponding change in the operation frequency, which can be measured precisely. We also employ a double-pulse modulation on the microwave signals, which comprises a fast pulse modulation for gated averaging and a slow pulse modulation for lock-in detection. In measurements on real samples at low temperatures, this system provides much better resolutions in both amplitude and phase than most of the conventional vector analyzers at power levels below -65 dBm.Comment: 7 pages, 11 figures, 1 table, lette

    The Dynamic Structure Of Customer Relationship Management With Implications For Business Implementation

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    CRM (Customer Relationship Management) is a systematic business approach using information and on-going dialogue to build long lasting and mutually beneficial customer relationships. CRM integrates data, technology, analyses and marketing and communications processes across all customer touch-points. CRM can be an effective business strategy tool when used appropriately, especially now in our customer center business.  To the end, a holistic view of the implementation of CRM should be made in order to discuss the pro and con about this strategy.  This paper will review a number of CRM literatures and a conceptual systems thinking model will be built to explore these Customer Relationship Management related components to guide the administrators as they attempt to steer the Customer Relationship Management clear of these obstacles.  Specifically, systems feedback loops as a tool to demonstrate the dynamic structure of Customer Relationship Management components and assist the management control policy scenario planning

    An Exploratory Study of Investigating the Creative Potential of Taiwanese Children

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    The question of whether creativity should be viewed as domain-general or domain-specific, and unidimensional or multidimensional, have led to a vibrant discussion among students of creativity. Following a reviewing of the relevant literature, it was decided that the present study would focus its investigation of the creative potential of Taiwanese students on verbal and visual creative abilities. Three major findings were found: first, that the relationship between verbal and visual creativity was moderate and significant, while the relationship between ideational behavior, on the one hand, and verbal creativity and visual creativity, on the other, was weak and non-significant. Second, as illustrated by our perceptual map, it appears that verbal and visual creativity are different constructs, which might tend to support the domain-specific theory of creativity. Finally, gender did not function as a moderator between verbal and visual creativity

    A Case of Reactive Cervical Lymphadenopathy with Fat Necrosis Impinging on Adjacent Vascular Structures.

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    A tender neck mass in adults can be a diagnostic challenge due to a wide differential diagnosis, which ranges from reactive lymphadenopathy to malignancy. In this report, we describe a case of a young female with an unusually large and tender reactive lymph node with fat necrosis. The diagnostic imaging findings alone mimicked that of scrofula and malignancy, which prompted a complete workup. Additionally, the enlarged lymph node was compressing the internal jugular vein in the setting of oral contraceptive use by the patient, raising concern for Lemierre's syndrome or internal jugular vein thrombosis. This report shows how, in the appropriate clinical context, and especially with the involvement of adjacent respiratory or neurovascular structures, aggressive diagnostic testing can be indicated

    Learning Compositional Visual Concepts with Mutual Consistency

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    Compositionality of semantic concepts in image synthesis and analysis is appealing as it can help in decomposing known and generatively recomposing unknown data. For instance, we may learn concepts of changing illumination, geometry or albedo of a scene, and try to recombine them to generate physically meaningful, but unseen data for training and testing. In practice however we often do not have samples from the joint concept space available: We may have data on illumination change in one data set and on geometric change in another one without complete overlap. We pose the following question: How can we learn two or more concepts jointly from different data sets with mutual consistency where we do not have samples from the full joint space? We present a novel answer in this paper based on cyclic consistency over multiple concepts, represented individually by generative adversarial networks (GANs). Our method, ConceptGAN, can be understood as a drop in for data augmentation to improve resilience for real world applications. Qualitative and quantitative evaluations demonstrate its efficacy in generating semantically meaningful images, as well as one shot face verification as an example application.Comment: 10 pages, 8 figures, 4 tables, CVPR 201
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