3,318 research outputs found

    A case study on mining social media data

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    In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies’ benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors

    Optical studies of carrier and phonon dynamics in Ga_{1-x}Mn_{x}As

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    We present a time-resolved optical study of the dynamics of carriers and phonons in Ga_{1-x}Mn_{x}As layers for a series of Mn and hole concentrations. While band filling is the dominant effect in transient optical absorption in low-temperature-grown (LT) GaAs, band gap renormalization effects become important with increasing Mn concentration in Ga_{1-x}Mn_{x}As, as inferred from the sign of the absorption change. We also report direct observation on lattice vibrations in Ga1-xMnxAs layers via reflective electro-optic sampling technique. The data show increasingly fast dephasing of LO phonon oscillations for samples with increasing Mn and hole concentration, which can be understood in term of phonon scattering by the holes.Comment: 13 pages, 3 figures replaced Fig.1 after finding a mistake in previous versio

    Sperm repository for a breeding program of the eastern oyster crassostrea virginica: Sample collection, processing, cryopreservation, and data management plan

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    The Eastern oyster Crassostrea virginica (Family Ostreidae) is one of the most important fishery and aquaculture species in the U.S. and is a keystone species for coastal reefs. A breeding program was initiated in 2019 to support the fast‐growing aquaculture industry culturing this species in the Gulf of Mexico. Oysters from 17 wild populations in embayment along the U.S. Gulf of Mexico coast from southwest Florida to the Matagorda Bay, Texas were used as broodstock for the program to maximize genetic diversity in the base population. A sperm repository of the broodstock was established to support the breeding project. The goal of this study was to demonstrate the sperm sample collection, processing, cryopreservation, and the data management plan involved in the establishment of a sperm germplasm repository of base populations. The supporting objectives were to: (1) develop a data management plan for the sperm repository; (2) streamline the procedure for sample collection, processing, and cryopreservation; (3) incorporate sperm quality analysis into the procedure, and (4) archive the cryopreserved samples as a repository for future use in the breeding program. This sperm repository included a total of 102 male oysters from the 17 collection sites (six oysters per site). A data management plan was developed with six categories, including sample collection, phenotype, fresh sperm, genotype, cryopreservation, and post‐thaw sperm, as guide for data collection. Sperm collection was accomplished by strip spawn, and fresh sperm production, motility, and fertility were recorded for quality analysis. Cryopreserved sperm samples were sorted, labelled, archived, and stored in liquid nitrogen for future use. Post‐thaw motility (1–30%) and plasm membrane integrity (15.34–70.36%) were recorded as post‐thaw quality parameters. Overall, this study demonstrated a streamlined procedure of oyster sperm collection, processing, and cryopreservation for establishing a sperm repository that can serve as a template for construction of oyster germplasm repositories for breeding programs

    Assessment of Creative Thinking of Hong Kong Undergraduate Students Using the Torrance Tests of Creative Thinking

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    [EN] Creativity has been a key graduate attribute and transferrable skill for the universities nowadays. A better understanding of freshmen students’ level of creativity thinking facilitates the cultivation of the ways for nurturing the development of creativity in students throughout their university education studies. The purpose of this study was to investigate creative thinking abilities of first-year undergraduates in Hong Kong using the Torrance Tests of Creativity Thinking (TTCT) – a commonly known assessment for creativity. A total of 492 first-year undergraduates at a university in Hong Kong were asked to complete TTCT Figural Form consisting of picture construction, picture completion and lines activities. Generally, the creative potential of Hong Kong undergraduates was well above the average. The students demonstrated their abilities in generation of a number of relevant ideas (fluency), producing novel responses (originality), abstract thinking (abstractness of titles), and open-minded thinking (premature closure). They exhibited creative strength of, for example, flexible imagination, thinking with senses, and thinking beyond boundaries. However, students’ elaborative thinking, metaphorical-thinking and sense of humor had a lot of room for improvement. Based on the assessment results, some implications on the possible institutional strategies for nurturing creativity among students during university education were discussed.Ng, AWY.; Lee, C. (2019). Assessment of Creative Thinking of Hong Kong Undergraduate Students Using the Torrance Tests of Creative Thinking. En HEAD'19. 5th International Conference on Higher Education Advances. Editorial Universitat Politècnica de València. 1-8. https://doi.org/10.4995/HEAD19.2019.9051OCS1

    Why People Participate in the Sharing Economy: An Empirical Investigation of Uber

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    Purpose - This study aimed at examining the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy. Design/methodology/approach - A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling (SEM) technique. Findings - The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber. Research implications - This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research. Practical implications - The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy. Originality/value - This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating and technological factors on users’ intention to participate in the sharing economy

    Resonant Coherent Phonon Spectroscopy of Single-Walled Carbon Nanotubes

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    Using femtosecond pump-probe spectroscopy with pulse shaping techniques, one can generate and detect coherent phonons in chirality-specific semiconducting single-walled carbon nanotubes. The signals are resonantly enhanced when the pump photon energy coincides with an interband exciton resonance, and analysis of such data provides a wealth of information on the chirality-dependence of light absorption, phonon generation, and phonon-induced band structure modulations. To explain our experimental results, we have developed a microscopic theory for the generation and detection of coherent phonons in single-walled carbon nanotubes using a tight-binding model for the electronic states and a valence force field model for the phonons. We find that the coherent phonon amplitudes satisfy a driven oscillator equation with the driving term depending on photoexcited carrier density. We compared our theoretical results with experimental results on mod 2 nanotubes and found that our model provides satisfactory overall trends in the relative strengths of the coherent phonon signal both within and between different mod 2 families. We also find that the coherent phonon intensities are considerably weaker in mod 1 nanotubes in comparison with mod~2 nanotubes, which is also in excellent agreement with experiment.Comment: 21 pages, 22 figure
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