6,086 research outputs found

    NMR study on the stability of the magnetic ground state in MnCr2{}_2O4{}_4

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    The canting angles and fluctuation of the magnetic ion spins of spinel oxide MnCr2{}_2O4{}_4 were studied by nuclear magnetic resonance (NMR) at low temperatures, which has a collinear ferrimagnetic order below TCT_C and a ferrimagnetic spiral order below Ts<TCT_s < T_C. Contrary to previous reports, only one spin canting angle of Cr ions was observed. The spin canting angles of Mn and Cr ions in the ferrimagnetic spiral obtained at a liquid-He temperature were 43\,^{\circ} and 110\,^{\circ}, respectively. The nuclear spin-spin relaxation was determined by the Suhl-Nakamura interaction at low temperatures but the relaxation rate T21T_2^{-1} increases rapidly as the temperature approaches TsT_s. This indicates that the fluctuation of the spiral component becomes faster as the temperature increases but not fast enough to leave an averaged hyperfine field to nuclei in the time scale of nuclear spin precession in the ferrimagnetic phase, which is on the order of 10810^{-8} s. The spiral volume fraction measured for various temperatures reveals that the collinear and the spiral ferrimagnetic phases are mixed below the transition temperature of the spiral order. The temperature hysteresis in the volume fraction implies that this transition has first-order characteristics.Comment: 13 pages, 5 figure

    Progressive Processing of Continuous Range Queries in Hierarchical Wireless Sensor Networks

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    In this paper, we study the problem of processing continuous range queries in a hierarchical wireless sensor network. Contrasted with the traditional approach of building networks in a "flat" structure using sensor devices of the same capability, the hierarchical approach deploys devices of higher capability in a higher tier, i.e., a tier closer to the server. While query processing in flat sensor networks has been widely studied, the study on query processing in hierarchical sensor networks has been inadequate. In wireless sensor networks, the main costs that should be considered are the energy for sending data and the storage for storing queries. There is a trade-off between these two costs. Based on this, we first propose a progressive processing method that effectively processes a large number of continuous range queries in hierarchical sensor networks. The proposed method uses the query merging technique proposed by Xiang et al. as the basis and additionally considers the trade-off between the two costs. More specifically, it works toward reducing the storage cost at lower-tier nodes by merging more queries, and toward reducing the energy cost at higher-tier nodes by merging fewer queries (thereby reducing "false alarms"). We then present how to build a hierarchical sensor network that is optimal with respect to the weighted sum of the two costs. It allows for a cost-based systematic control of the trade-off based on the relative importance between the storage and energy in a given network environment and application. Experimental results show that the proposed method achieves a near-optimal control between the storage and energy and reduces the cost by 0.989~84.995 times compared with the cost achieved using the flat (i.e., non-hierarchical) setup as in the work by Xiang et al.Comment: 41 pages, 20 figure

    Origin of the increased velocities of domain wall motions in soft magnetic thin-film nanostripes beyond the velocity-breakdown regime

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    It is known that oscillatory domain-wall (DW) motions in soft magnetic thin-film nanostripes above the Walker critical field lead to a remarkable reduction in the average DW velocities. In a much-higher-field region beyond the velocity-breakdown regime, however, the DW velocities have been found to increase in response to a further increase of the applied field. We report on the physical origin and detailed mechanism of this unexpected behavior. We associate the mechanism with the serial dynamic processes of the nucleation of vortex-antivortex (V-AV) pairs inside the stripe or at its edges, the non-linear gyrotropic motions of Vs and AVs, and their annihilation process. The present results imply that a two-dimensional soliton model is required for adequate interpretation of DW motions in the linear- and oscillatory-DW-motion regimes as well as in the beyond-velocity-breakdown regime.Comment: 16 pages, 3 figure

    Investigation of the SH3BP2 Gene Mutation in Cherubism

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    Cherubism is a rare developmental lesion of the jaw that is generally inherited as an autosomal dominant trait. Recent studies have revealed point mutations in the SH3BP2 gene in cherubism patients. In this study, we examined a 6-year-old Korean boy and his family. We found a Pro418Arg mutation in the SH3BP2 gene of the patient and his mother. A father and his 30-month-old younger brother had no mutations. Immunohistochemically, the multinucleated giant cells proved positive for CD68 and tartrate-resistant acid phosphatase (TRAP). Numerous spindle-shaped stromal cells expressed a ligand for receptor activator of nuclear factor kB (RANKL), but not in multinucleated giant cells. These results provide evidence that RANKL plays a critical role in the differentiation of osteoclast precursor cells to multinucleated giant cells in cherubism. Additionally, genetic analysis may be a useful method for differentiation of cherubism.</p

    Impact of human factors for student pilots in approved flight training organizations in Korea

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    Statistics for aviation accidents in Korea show that the safety level of training flights is high. However, of the accidents that do occur, more than 80% occur due to human factors. Furthermore, because most causes of human factors-related accidents are “pilot error,” it is important for student pilots who will transport passengers to develop knowledge of safety and skills associated with human factors risk management to mitigate the risk of such accidents. To investigate the human factors that affect safety in training student pilots for flight, this study examined the correlation between events that are associated with accidents, differences according to the pilot’s experience level of flight training, and differences between student pilots who received flight training at approved collegiate flight education centers and those who did not. The study was conducted on human factors, focusing on the SHELL model. Using the SPSS software (ver. 17.0), correlation analyses, analyses of variance (ANOVA), and t-tests were conducted to generate statistical results. Briefly, the results of this study found that a student pilot’s natural ability and equipment in the cockpit are the important factors for safety for pilot on training flights. Additionally, the analysis of the differences between human factors according to the characteristics of student pilots’ groups shows that college student pilots are effected by immanent factors and organizational cultures. To date, there have been no accidents with related human casualties when training at collegiate “Approved Training Organizations” (ATOs) in Korea. However, accidents can occur at anytime and anywhere. Especially human factors, which cause most aviation accidents, have a wide reach and are impossible to eliminate. Because ATO is the starting point to lead the aviation industry of Korea, awareness of risks and initiatives to improve education/training of human factors is essential
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