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C26H31BrN2O3, orthorhombic, P212121 (no. 19), a = 11.01(1) Å, b = 13.227(12) Å, c = 16.458(14) Å, V = 2397(4) Å3, Z = 4, R gt(F) = 0.0367, wR ref(F 2) = 0.0775, T = 298(2) K.

Research Data for Kerstersia gyiorum isolated for the first time from two patients with neurodegenerative disease: report of two unusual cases and a review of the literature by Yanwen Sun, Danqing Liu, Xuejing Yang, Wenjie Li and Shaohua Lin in Journal of International Medical Research

X-ray free electron lasers (X-FELs) present new opportunities to study ultrafast lattice dynamics in complex materials. While the unprecedented source brilliance enables high fidelity measurement of structural dynamics, it also raises experimental challenges related to the understanding and control of beam-induced irreversible structural changes in samples that can ultimately impact the interpretation of experimental results. This is also important for designing reliable high performance X-ray optical components. In this work, we investigate X-FEL beam-induced lattice alterations by measuring the shot-to-shot evolution of near-Bragg coherent scattering from a single crystalline germanium sample. We show that X-ray photon correlation analysis of sequential speckle patterns measurements can be used to monitor the nature and extent of lattice rearrangements. Abrupt, irreversible changes are observed following intermittent high-fluence monochromatic X-ray pulses, thus revealing the existence of a threshold response to X-FEL pulse intensity.

ECG has drawn increasing attention in the biometrics and achieves great success compared with other biological characteristics. However, ECG cannot satisfy the requirements of mobile application owing to the poor quality. In this paper, we learn discriminative representation for ECG biometrics based on multi-scale 1D-PDV feature. First, we choose PDV as the base feature and attempt to convert PDV to the one-dimensional and multi-scale in the ECG biometrics. Second, our method learns a mapping to project the multi-scale 1D-PDV to a low dimensional feature vector and capture discriminative information of ECG. Then each feature vector is pooled in the codebook and represented as a histogram feature. Last, we apply principal component analysis (PCA) to reduce the histogram feature dimension and compute the matching score with cosine similarity. We evaluate our method on two public databases and the results prove our method achieves superior performance than other existing methods.

This study integrates customers’ intention to use recyclable express packaging by extending the theory of planned behavior. Prior studies are lacking to address the convenience, moral norms and awareness of consequences in the model. The use of disposable express packaging has become increasingly prominent because of the explosive growth in the number of express deliveries and this leads to the waste of resources and environmental pollution. The data are collected from 1303 valid questionnaires. The hypotheses are tested using partial least squares structural equation modeling. The results show that usage intention and perceived behavioral control have a significant positive effect on the usage behavior of recyclable express packaging by consumers aged 14–35. Convenience, subjective norms, and moral norms are the most important factors affecting the usage intention of these young Chinese consumers. Meanwhile, attitude and perceived behavioral control play a significant positive role in young consumers’ usage intention. Awareness of consequences has no significant influence on usage intention.

Cyanide tailings produced in gold smelting process contain a large number of heavy metals and cyanides, which are more and more harmful to the environment. In order to reduce environmental pollution, valuable metals from cyanide tailings are recovered. The amount of calcium chloride, chlorination time, the way of adding calcium chloride and other factors on the influence of gold and silver extraction by chlorination were studied by using the raw material of cyanide tailings with melting chlorination process in this paper, and how to reduce the melting chlorination temperature was explored, and a comprehensive experiment was carried out under the best conditions. The results showed that when the chlorination temperature is 1500°C, the chlorination time is 1 h, and the addition amount of CaCl2 is 7%, the volatilization rate of gold is 85.38%, the content of gold in slag is 1.83 g/t, the volatilization rate of silver is 77.36%, and the content of silver in slag is 4.12 g/t; when the chlorination temperature is 1500°C, 7% CaCl2 is added, and the chlorination time is 15 min, the volatilization rate of gold is 87.78%, the content of gold in slag is 1.23 g/t, the volatilization rate of silver is 59.40%, and the content of silver in slag is 7.39 g/t; the addition of 5% CaO can change the slag type, reduce the chlorination temperature by 50~100°C, increase the volatilization rate of gold and silver slightly, and decrease the content of gold and silver in slag; when CaCl2 is added in five times, the volatilization rate of gold increases to 95.53%, the content of gold in slag decreases to 0.56g/t, the volatilization rate of silver increases to 77.80%, and the content of silver in slag decreases to 4.04 g/t; 7% CaCl2 was added in five times, and the melting chlorination time was 15 min. the amount of CaO was 5%, and the melting chlorination temperature was 1450°C, the gold volatilization rate is 95.69%, and the gold content of slag is 0.54 g/t, the silver volatilization rate is 77.06% and the silver content of slag is 4.20 g/t.