1,432 research outputs found

    Cladding of Mg alloy with Zr based BMG Alloy

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    In the present work, an attempt has been made to clad AZ31 magnesium alloy with Zr-based bulk metallic glassy alloy (Vit-1), by casting method. The interface studies conducted using SEM-EDS line scan indicate that a good bond is formed at the clad interface of Zr and Mg. And the mechanism involved is discussed herein.110Ysciescopu

    Al-TiH2 Composite Foams Magnesium Alloy

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    The work presented here in describes the synthesis of aluminum based titanium-hydride particulate composite by casting method and its foaming behavior of magnesium alloy. Results obtained indicate that the Al-10TiH(2) composite can be synthesized successfully by casting method. Further, results also reveal that closed-cell magnesium alloy foam can be synthesized by using Al-10TiH(2) composite as a foaming agent.111Ysciescopu

    Compact Attribute-Based Encryption and Signcryption for General Circuits from Multilinear Maps

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    Designing attribute-based systems supporting highly expressive access policies has been one of the principal focus of research in attribute-based cryptography. While attribute-based encryption (ABE) enables fine-grained access control over encrypted data in a multi-user environment, attribute-based signature (ABS) provides a powerful tool for preserving signer anonymity. Attributebased signcryption (ABSC), on the other hand, is a combination of ABE and ABS into a unified cost-effective primitive. In this paper, we start by presenting a key-policy ABE supporting general polynomial-size circuit realizable decryption policies and featuring compactness. More specifically, our ABE construction exhibits short ciphertexts and shorter decryption keys compared to existing similar works. We then proceed to design a key-policy ABSC scheme which enjoys several interesting properties that were never achievable before. It supports arbitrary polynomial-size circuits, thereby handles highly sophisticated control over signing and decryption rights. Besides, it generates short ciphertext as well. Our ABE construction employs multilinear map of level n+l+1n + l + 1, while that used for our ABSC scheme has level n+n2˘7+l+1n + n\u27 + l + 1, where nn, n2˘7n\u27, and ll represent respectively the input length of decryption policy circuits, input size of signing policy circuits, and depth of both kinds of circuits. Selective security of our constructions are proven in the standard model under the Multilinear Decisional Diffie-Hellman and Multilinear Computational Diffie-Hellman assumptions which are standard complexity assumptions in the multilinear map setting. Our key-policy constructions can be converted to the corresponding ciphertext-policy variants achieving short ciphertext by utilizing the technique of universal circuits

    Coop-DAAB : cooperative attribute based data aggregation for Internet of Things applications

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    The deployment of IoT devices is gaining an expanding interest in our daily life. Indeed, IoT networks consist in interconnecting several smart and resource constrained devices to enable advanced services. Security management in IoT is a big challenge as personal data are shared by a huge number of distributed services and devices. In this paper, we propose a Cooperative Data Aggregation solution based on a novel use of Attribute Based signcryption scheme (Coop - DAAB). Coop - DAAB consists in distributing data signcryption operation between different participating entities (i.e., IoT devices). Indeed, each IoT device encrypts and signs in only one step the collected data with respect to a selected sub-predicate of a general access predicate before forwarding to an aggregating entity. This latter is able to aggregate and decrypt collected data if a sufficient number of IoT devices cooperates without learning any personal information about each participating device. Thanks to the use of an attribute based signcryption scheme, authenticity of data collected by IoT devices is proved while protecting them from any unauthorized access

    Ultrafast Tracking of Exciton and Charge Carrier Transport in Optoelectronic Materials on the Nanometer Scale.

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    We present a novel optical transient absorption and reflection microscope based on a diffraction-limited pump pulse in combination with a wide-field probe pulse, for the spatiotemporal investigation of ultrafast population transport in thin films. The microscope achieves a temporal resolution down to 12 fs and simultaneously provides sub-10 nm spatial accuracy. We demonstrate the capabilities of the microscope by revealing an ultrafast excited-state exciton population transport of up to 32 nm in a thin film of pentacene and by tracking the carrier motion in p-doped silicon. The use of few-cycle optical excitation pulses enables impulsive stimulated Raman microspectroscopy, which is used for in situ verification of the chemical identity in the 100-2000 cm-1 spectral window. Our methodology bridges the gap between optical microscopy and spectroscopy, allowing for the study of ultrafast transport properties down to the nanometer length scale.We acknowledge financial support from the EPSRC and the Winton Program for the Physics of Sustainability. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 758826). C.S. acknowledges financial support by the Royal Commission of the Exhibition of 1851

    Using Latent Class Analyses to Examine Health Disparities among Young Children in Socially Disadvantaged Families during the COVID-19 Pandemic

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    Rising income inequality is strongly linked to health disparities, particularly in regions where uneven distribution of wealth and income has long been a concern. Despite emerging evidence of COVID-19-related health inequalities for adults, limited evidence is available for children and their parents. This study aimed to explore subtypes of families of preschoolers living in the disadvantaged neighborhoods of Hong Kong based on patterns of family hardship and to compare their patterns of parenting behavior, lifestyle practices, and wellbeing during the COVID-19 pandemic. Data were collected from 1338 preschoolers and their parents during March to June 2020. Latent class analysis was performed based on 11 socioeconomic and disease indicators. Multivariate logistic regressions were used to examine associations between identified classes and variables of interest during the COVID-19 pandemic. Four classes of family hardship were identified. Class 1 (45.7%) had the lowest disease and financial burden. Class 2 (14.0%) had the highest financial burden. Class 3 (5.9%) had the highest disease burden. Class 4 (34.5%) had low family income but did not receive government welfare assistance. Class 1 (low hardship) had lower risks of child maltreatment and adjustment problems than Class 2 (poverty) and Class 3 (poor health). However, children in Class 1 (low hardship) had higher odds of suffering psychological aggression and poorer physical wellbeing than those in Class 4 (low income), even after adjusting for child age and gender. The findings emphasize the need to adopt flexible intervention strategies in the time of large disease outbreak to address diverse problems and concerns among socially disadvantaged families
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