2,307 research outputs found
Lexicography and sign language engineering: the Zambian experience
Sign language as used by deaf communities, is a real and fully-fledged human language, not based on any spoken language, and not universal in the sense of there being only one sign language worldwide. A deaf community is a linguistic minority, but a linguistic minority with special linguistic needs because of the very nature of sign language. In Zambia, like in the vast majority of other Third World countries, the linguistic needs of deaf and hard-of-hearing people have been ignored. This article examines the genesis and implementation of a dictionary project for sign language, the Zambian Sign Language Dictionary Project, regarded as a first step towards the development of a Zambian National Sign Language. The article highlights the specificity of sign language lexicography.Keywords: american sign language, articulated language, borrowing, deaf, hand shape, hard-of-hearing, iconicity, indigenous sign, location, movement, orientation, sign, sign language, sign-word search system, word-sign search syste
Effectiveness and Efficiency of Knowledge Transfer in Supplier Development: Key Antecedents and Buyer-Supplier Outcomes
There is strong evidence that U.S. organizations are increasingly implementing supplier development programs to help their suppliers improve quality, enhance delivery performance, reduce costs, and in turn improve their own supply chain performance. However, many of these supplier development programs are not successful. This study argues that an understanding of the knowledge transfer process should play a central role in understanding improvements in buyer-supplier performance resulting from supplier development activities. Building on the extant supplier development literature and relevant knowledge transfer literature, this study investigates key antecedents and performance outcomes of knowledge transfer in a supplier development context. Specifically, the study tests the impact of the extent of supplier development involvement, trust (competence and benevolence), shared vision and supplier\u27s learning intent on the effectiveness (comprehension and usefulness) and efficiency (speed and economy) of knowledge transfer and the influence of knowledge transfer on buyer-supplier performance. For this research, 167 U.S. manufacturing firms were used to test the hypotheses. The results show that suppliers\u27 learning intent and benevolence trust positively impact both the effectiveness and efficiency of knowledge transfer. Supplier development involvement was found to have a positive effect on knowledge transfer effectiveness while shared vision and competence trust had positive effect on knowledge transfer efficiency. The findings also show that both effectiveness and efficiency of knowledge transfer have impact on supplier delivery performance but have no direct effect on supplier cost performance. This research makes an important contribution to the literature on the antecedents of successful knowledge transfer in supplier development. First, the research highlights that supplier\u27s learning intent leads to better comprehension, better application and quicker absorption of the new knowledge that is transferred to th
Effectiveness and Efficiency of Knowledge Transfer in Supplier Development: Key Antecedents and Buyer-Supplier Outcomes
There is strong evidence that U.S. organizations are increasingly implementing supplier development programs to help their suppliers improve quality, enhance delivery performance, reduce costs, and in turn improve their own supply chain performance. However, many of these supplier development programs are not successful. This study argues that an understanding of the knowledge transfer process should play a central role in understanding improvements in buyer-supplier performance resulting from supplier development activities. Building on the extant supplier development literature and relevant knowledge transfer literature, this study investigates key antecedents and performance outcomes of knowledge transfer in a supplier development context. Specifically, the study tests the impact of the extent of supplier development involvement, trust (competence and benevolence), shared vision and supplier\u27s learning intent on the effectiveness (comprehension and usefulness) and efficiency (speed and economy) of knowledge transfer and the influence of knowledge transfer on buyer-supplier performance. For this research, 167 U.S. manufacturing firms were used to test the hypotheses. The results show that suppliers\u27 learning intent and benevolence trust positively impact both the effectiveness and efficiency of knowledge transfer. Supplier development involvement was found to have a positive effect on knowledge transfer effectiveness while shared vision and competence trust had positive effect on knowledge transfer efficiency. The findings also show that both effectiveness and efficiency of knowledge transfer have impact on supplier delivery performance but have no direct effect on supplier cost performance. This research makes an important contribution to the literature on the antecedents of successful knowledge transfer in supplier development. First, the research highlights that supplier\u27s learning intent leads to better comprehension, better application and quicker absorption of the new knowledge that is transferred to th
Effectiveness and Efficiency of Knowledge Transfer in Supplier Development: Key Antecedents and Buyer-Supplier Outcomes
There is strong evidence that U.S. organizations are increasingly implementing supplier development programs to help their suppliers improve quality, enhance delivery performance, reduce costs, and in turn improve their own supply chain performance. However, many of these supplier development programs are not successful. This study argues that an understanding of the knowledge transfer process should play a central role in understanding improvements in buyer-supplier performance resulting from supplier development activities. Building on the extant supplier development literature and relevant knowledge transfer literature, this study investigates key antecedents and performance outcomes of knowledge transfer in a supplier development context. Specifically, the study tests the impact of the extent of supplier development involvement, trust (competence and benevolence), shared vision and supplier\u27s learning intent on the effectiveness (comprehension and usefulness) and efficiency (speed and economy) of knowledge transfer and the influence of knowledge transfer on buyer-supplier performance. For this research, 167 U.S. manufacturing firms were used to test the hypotheses. The results show that suppliers\u27 learning intent and benevolence trust positively impact both the effectiveness and efficiency of knowledge transfer. Supplier development involvement was found to have a positive effect on knowledge transfer effectiveness while shared vision and competence trust had positive effect on knowledge transfer efficiency. The findings also show that both effectiveness and efficiency of knowledge transfer have impact on supplier delivery performance but have no direct effect on supplier cost performance. This research makes an important contribution to the literature on the antecedents of successful knowledge transfer in supplier development. First, the research highlights that supplier\u27s learning intent leads to better comprehension, better application and quicker absorption of the new knowledge that is transferred to th
Optical investigations of the chemical pressurized EuFe2(As1-xPx)2: an s-wave superconductor with strong interband interaction
Superconducting EuFe2(As0.82P0.18)2 single crystals are investigated by
infrared spectroscopy in a wide frequency range. Below Tc=28K a superconducting
gap forms at 2\Delta_{0} = 9.5 meV = 3.8 k_B T_c causing the reflectivity to
sharply rise to unity at low frequency. In the range of the gap the optical
conductivity can be perfectly described by BCS theory with an -wave gap and
no nodes. From our analysis of the temperature dependent conductivity and
spectral weight at T>T_c, we deduce an increased interband coupling between
hole- and electron-sheets on the Fermi surface when approaches T_c
Self-Consistent Response of a Galactic Disk to an Elliptical Perturbation Halo Potential
We calculate the self-consistent response of an axisymmetric galactic disk
perturbed by an elliptical halo potential of harmonic number m = 2, and obtain
the net disk ellipticity. Such a potential is commonly expected to arise due to
a galactic tidal encounter and also during the galaxy formation process. The
self-gravitational potential corresponding to the self-consistent,
non-axisymmetric density response of the disk is obtained by inversion of
Poisson equation for a thin disk. This response potential is shown to oppose
the perturbation potential, because physically the disk self-gravity resists
the imposed potential. This results in a reduction in the net ellipticity of
the perturbation halo potential in the disk plane. The reduction factor
denoting this decrease is independent of the strength of the perturbation
potential, and has a typical minimum value of 0.75 - 0.9 for a wide range of
galaxy parameters. The reduction is negligible at all radii for higher
harmonics (m > or = 3) of the halo potential. (abridged).Comment: 26 pages (LaTex- aastex style), 3 .eps figures. To appear in the
Astrophysical Journal, Vol. 542, Oct. 20, 200
GAS CHROMATOGRAPHY 􀇧 MASS SPECTROMETRY ANALYSIS OF ESSENTIAL OIL COMPOSITION OF CLERODENDRUM SERRATUM L.: A TRADITIONAL PLANT OF INDIA
Objective: Clerodendrum serratum (L.) belonging to family Verbenaceae, commonly known as Bharangi, is a popular plant across various communities of India. Gas chromatography-mass spectrometry (GC-MS) is a unique technique to prospect various volatile principles and semivolatile compounds.Materials and Methods: The phytoconstituents present in the root of n-hexane extract were evaluated by GC-MS using Clarus 500 mass spectrometer.Results and Discussions: A total of 15 constituents were identified and characterized from the roots of C. serratum L. All the 15 compounds were tabulated with their retention time, percentage peak area, molecular formula, molecular weight, and Chemical Abstracts Service number. Out of all the compounds, 60% comprises the oxygenated compounds. Compound hexadecanoic acid, methyl ester, and benzene, 1,3-bis(1,1-dimethylethyl) showed highest percentage about 6.5 and 74.9, respectively.Conclusion: This study showed the presence of 15 compounds ranging from alkane, alkene as longest chain along with ester, aromatic and nonaromatic hydrocarbons
Reinforcing optimization enabled interactive approach for liver tumor extraction in computed tomography images
Detecting liver abnormalities is a difficult task in radiation planning and treatment. The modern development integrates medical imaging into computer techniques. This advancement has monumental effect on how medical images are interpreted and analyzed. In many circumstances, manual segmentation of liver from computerized tomography (CT) imaging is imperative, and cannot provide satisfactory results. However, there are some difficulties in segmenting the liver due to its uneven shape, fuzzy boundary and complicated structure. This leads to necessity of enabling optimization in interactive segmentation approach. The main objective of reinforcing optimization is to search the optimal threshold and reduce the chance of falling into local optimum with survival of the fittest (SOF) technique. The proposed methodology makes use of pre-processing stage and reinforcing meta heuristics optimization based fuzzy c-means (FCM) for obtaining detailed information about the image. This information gives the optimal threshold value that is used for segmenting the region of interest with minimum user input. Suspicious areas are recognized from the segmented output. Both public and simulated dataset have been taken for experimental purposes. To validate the effectiveness of the proposed strategy, performance criteria such as dice coefficient, mode and user interaction level are taken and compared with state-of-the-art algorithms
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