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 $s$-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 $T$ 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

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