7,178 research outputs found

    Sharing Tacit Knowledge Among Expert Teaching Professors and Mentees: Considerations for Career and Technical Education Teacher Educators

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    This case study provides viewpoints of knowledge sharing by expert teaching professors and their mentees. Professors who were recognized as expert teachers with an annual award at a mid-western USA university were the units of analysis of this study. Expert teaching professors had difficulty articulating much of their teaching expertise. The difficulty was rooted in three characteristics of teaching expertise. Sharing tacit knowledge was also noted as a difficult task because the nature of tacit knowledge prevented it from being articulated. Methods of sharing tacit knowledge were categorized in two ways: observation and “bringing it to surface.” Recommendations for additional study include examining knowledge sharing among expert and novice professors in career and technical education teacher education programs

    The Impact of GSS on an Organization\u27s Information Accessibility

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    In recent years, there has been a resurgence of interest in groups in business and other organizations. Concepts such as interactive meetings, empowered work teams, participative management, and total quality management have altered the dynamics and significance of group work within organizations (Finley 1992; Hunt 1993). Most managers agree that both formal and ad hoc groups significantly influence the behavior of individuals in larger organizations in which they work. The impactof groups on the organization is so pervasive that rarely will managers spend an entire day without attending at least one group meeting (White and Bednar 1991). Drucker (1988) suggested that the new organization would consist of groups of knowledge specialists and that the traditional command and control organization was on the way out. According to Finley (1992), the new ethic for success in business is that every person has to contribute to team decisions. This focus on teams has provided a challenge to information system (IS) specialists as far as providing necessary facilitative technology to fulfill the needs of companies focusing on groups and group work. George, Nunamaker, and Valacich (1992) suggested that one of the most promising trends for the IS field was this focus on groups and group work. The technology that supports the group decision making process has been referred to as group support systems. Most of the research in the GSS area has focused on decision room technology and most of this research has focused on theoretical, conceptual, and empirical research concerned with the design, implementation, and impact on the group process and outcomes (cf, Jelassi and Beauclair 1987, Gray 1987, DeSanctis and Gallupe 1985, Gallupe and McKeen 1990). Little research has been conducted concerning the impact of decision room use on the organization; specifically how the use of decision room use impacts the organization\u27s design, its nature, and its decision making process. In 1993, Huber, Valacich,and Jessup, proposed a theory for the impact of GSS on an organization. Their theory consisted of four concepts: a) availability of GSS leads to use of GSS;b) use of GSS leads to increased information accessibility;c) increased information accessibility leads to changes in organizational design;d) increased information accessibility and changes in organizational design lead to improvements in the effectiveness of intelligence development and decision makin

    Massive Lyman Break Galaxies at z~3 in the Spitzer Extragalactic First Look Survey

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    We investigate the properties of 1088 Lyman Break Galaxies (LBGs) at z~3 selected from a ~2.63deg2subregionoftheFirstLookSurveyfieldusingthegroundbasedmulticolordataandtheSpitzerSpaceTelescopemidinfrareddataat38and24um.Withthewideareaandthebroadwavelengthcoverage,wesamplealargenumberofrareubanddropoutswhicharemassive(M>1011Msun),allowingustoperformastatisticalanalysisofthesesubsetsofLBGsthathavenotbeenstudiedindetail.Opticallybright(R(AB)<24.5mag)LBGsdetectedinmidinfrared(S3.6um>6uJy)resideatthemostmassiveanddustyendoftheLBGpopulation,withrelativelyhighandtight deg2 sub-region of the First Look Survey field using the ground-based multi-color data and the Spitzer Space Telescope mid-infrared data at 3--8 and 24 um. With the wide area and the broad wavelength coverage, we sample a large number of ``rare'' u-band dropouts which are massive (M* > 10^11 Msun), allowing us to perform a statistical analysis of these subsets of LBGs that have not been studied in detail. Optically bright (R(AB) < 24.5 mag) LBGs detected in mid-infrared (S_{3.6um} > 6 uJy) reside at the most massive and dusty end of the LBG population, with relatively high and tight M/L$ in rest-frame near-infrared. Most infrared-luminous LBGs (S_{24um} > 100 uJy) are dusty star-forming galaxies with star formation rates of 100--1000 Msun/yr, total infrared luminosity of > 10^12 Lsun. By constructing the UV luminosity function of massive LBGs, we estimate that the lower limit for the star formation rate density from LBGs more massive than 10^11 Msun at z~3 is > 3.3 x 10^-3 Msun/yr/Mpc^3, showing for the first time that the UV-bright population of massive galaxies alone contributes significantly to the global star formation rate density at z~3. When combined with the star formation rate densities at z < 2, our result reveals a steady increase in the contribution of massive galaxies to the global star formation from z=0 to z=3, providing strong support to the downsizing of galaxy formation.Comment: 15 pages, 13 figures. Accepted for publication in Ap

    Food Recognition using Fusion of Classifiers based on CNNs

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    With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years. The best results have been obtained using methods based on very deep convolutional neural networks, which show that the deeper the model,the better the classification accuracy will be obtain. However, very deep neural networks may suffer from the overfitting problem. In this paper, we propose a combination of multiple classifiers based on different convolutional models that complement each other and thus, achieve an improvement in performance. The evaluation of our approach is done on two public datasets: Food-101 as a dataset with a wide variety of fine-grained dishes, and Food-11 as a dataset of high-level food categories, where our approach outperforms the independent CNN models

    Measuring the accuracy of software vulnerability assessments: experiments with students and professionals

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    Assessing the risks of software vulnerabilities is a key process of software development and security management. This assessment requires to consider multiple factors (technical features, operational environment, involved assets, status of the vulnerability lifecycle, etc.) and may depend from the assessor's knowledge and skills. In this work, we tackle with an important part of this problem by measuring the accuracy of technical vulnerability assessments by assessors with dierent level and type of knowledge. We report an experiment to compare how accurately students with dierent technical education and security professionals are able to assess the severity of software vulnerabilities with the Common Vulnerability Scoring System (v3) industry methodology. Our results could be useful for increasing awareness about the intrinsic subtleties of vulnerability risk assessment and possibly better compliance with regulations. With respect to academic education, professional training and human resources selections our work suggests that measuring the effects of knowledge and expertise on the accuracy of software security assessments is feasible albeit not easy

    Quantum Friction in Nanomechanical Oscillators at Millikelvin Temperatures

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    We report low-temperature measurements of dissipation in megahertz-range, suspended, single-crystal nanomechanical oscillators. At millikelvin temperatures, both dissipation (inverse quality factor) and shift in the resonance frequency display reproducible features, similar to those observed in sound attenuation experiments in disordered glasses and consistent with measurements in larger micromechanical oscillators fabricated from single-crystal silicon. Dissipation in our single-crystal nanomechanical structures is dominated by internal quantum friction due to an estimated number of roughly 50 two-level systems, which represent both dangling bonds on the surface and bulk defects.Comment: 5 pages, two-column format. Related papers available at http://nano.bu.ed

    Effects of electronic correlation on X-Ray absorption and dichroic spectra at L2,3_{2,3} edge

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    We present a new theoretical approach to describe X-Ray absorption and Magnetic Circular Dichroism spectra in the presence of e-e correlation. Our approach provides an unified picture to include correlations in both charged and neutral excitations, namely in direct / inversion photoemission where electrons are removed/added, and photo absorption where electrons are promoted from core levels to empty states. We apply this approach to the prototypical case of L2,3_{2,3} edge of 3dd transition metals and we show that the inclusion of many body effects in the core level excitations is essential to reproduce, together with satellite structures in core level photoemission, the observed asymmetric line shapes in X-ray absorption and dichroic spectra.Comment: 3 figures, 5 pages, submitted to Phys. Rev.
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