A METHOD FOR IMPRINTING MICROPATTERNS ON A SUBSTRATE OF A CHALCOGENIDE GLASS

    公开(公告)号:US20220244635A1

    公开(公告)日:2022-08-04

    申请号:US17595848

    申请日:2020-05-26

    IPC分类号: G03F7/00 B81C1/00

    摘要: In a first embodiment, the invention relates to a method for nanoimprinting a pattern on a chalcogenide-glass substrate, comprising: (A) preparing a soft operational mold, the operational mold comprising an elastomeric matrix and a reinforcement, wherein the matrix is transparent to IR radiation, and the reinforcement is opaque to IR radiation, and the mold further includes a pattern to be replicated to the substrate; (B) placing the mold on a top surface of a chalcogenide-glass substrate to form a structure, and simultaneously applying (i) IR radiation to heat an area at a top surface of the substrate to a temperature T>Tg, where Tg is the glass transition temperature of chalcogenide-glass, and (ii) applying a controlled pressure on the mold to effect penetration to the top surface of the chalcogenide-glass substrate, thereby to replicate the pattern of the mold to the top surface of the substrate; and (C) separating the operational mold from the patterned substrate.

    NANOPARTICLES AND METHODS FOR PREPARATION THEREOF

    公开(公告)号:US20220226476A1

    公开(公告)日:2022-07-21

    申请号:US17559143

    申请日:2021-12-22

    发明人: Amnon Sintov

    IPC分类号: A61K47/32 A61K9/51

    摘要: The invention provides a nano-sized particle comprising a cross-linked polymer, wherein the polymer is selected from the group consisting of a polyacrylic acid homopolymer; polymethacrylic acid homopolymer; poly(alkylcyanoacrylate) polymer; a copolymer comprising at least two monomers selected from acrylic acid, methacrylic acid, hydroxyethyl acrylate, hydroxyethyl methacrylate, and alkyl cyanoacrylate/cyanoacrylic acid monomers; carboxymethyl cellulose; alginic acid polymer, polylactic-polyglycolic acid (PLGA), and xanthan gum; and wherein said polymer is cross-linked with a metal ion. A process for preparing such particles is also provided.

    SYSTEM AND METHOD FOR CREATING AN INVISIBLE SPACE

    公开(公告)号:US20200278476A1

    公开(公告)日:2020-09-03

    申请号:US16647906

    申请日:2018-09-17

    IPC分类号: G02B1/00

    摘要: The invention relates to a method for creating a space of invisibility, which comprises: (a) providing a metamaterial plate having a subwavelength thickness, said metamaterial plate having bottom and top surfaces; (b) radiating the bottom surface of the metamaterial plate by a primary radiation thereby to form a space of invisibility above the top surface of the metamaterial plate, said space of invisibility being located within a space of a secondary radiation above the metamaterial plate which is in turn formed as a result of said primary radiation passing through metamaterial plate.

    METHOD AND DEVICE FOR NEAR-INFRARED SPECTROSCOPY

    公开(公告)号:US20190162659A1

    公开(公告)日:2019-05-30

    申请号:US16312698

    申请日:2017-06-25

    摘要: The invention provides a method of analyzing a liquid sample, comprising the steps of: passing near-infrared light through the sample, wherein the light travels in metal nanoparticles-added microfiber that is immersed in the sample; obtaining spectral information across a wavelength range of about 750 nm to about 1800 nm; and qualitatively identifying, and optionally quantitatively characterizing, one or more analytes in the sample. Near-infrared spectrophotometer carry out the method is also provided by the invention.

    Detection of malicious network activity

    公开(公告)号:US11201882B2

    公开(公告)日:2021-12-14

    申请号:US16203681

    申请日:2018-11-29

    摘要: A method of monitoring network traffic in a communication network with a sentinel module to detect malicious activity is described. A gateway sentinel module receives network traffic directed through a gateway installed for a local distribution of the network, the gateway connecting the local distribution of the network to a core of the network. Malicious activity in the local distribution is detected based on a combination of: a local machine-learning model for identifying malicious activity in the local distribution, the local machine-learning model modelling network traffic from the local distribution; and a global machine-learning model. The global machine-learning model models network traffic from a plurality of local distributions of the network based training data from a plurality of local sentinel modules executed on a respective plurality of computing nodes. The computing nodes respectively receive network traffic from the plurality of location distributions. A corresponding device and system are also described.