Abstract: The beta 2 subunit of mouse hemoglobin (HBB2) has been identified as soluble factor from mouse lungs that exhibits cytostatic/cytotoxic activity against neuroblastoma lung micrometastases. The beta subunit of human hemoglobin (HBB) has been found to have similar activity. Methods of using these proteins and fragments thereof in the treatment of cancer and inhibition of metastasis are provided, along with methods of screening a subject for micrometastases by detecting HBB in a biological sample.

Abstract: A method of analyzing data exchange of at least one device includes feeding a plurality of data exchanged by the at least one device to a system for data exchange analysis that includes a deep learning algorithm. The deep learning algorithm includes at least an input layer, an output layer of the same size as the input layer, and hidden layers. Neurons of the hidden layers receive recurrently, at each time t, only a subset of the data exchanged by the at least one device up to time t, the subset of data comprising current data from time t and only a fraction of past data from time tpast to time t, with tpast<t. The method includes attempting to reconstruct, at the output layer, at each time t, data received at the input layer. The reconstructed data is compared with at least part of the plurality of data. In indication is provided on one or more anomalies in the data, based on at least the comparison.

Abstract: A method of determining a category of a malware file, using a malware determination system comprising a machine learning algorithm, the method comprising obtaining a file, which is assumed to constitute malware file, by the malware determination system, building a data structure representative of features present in said file, based on features present in at least one dictionary, wherein said dictionary stores at least, for each of one or more of categories Ci out of a plurality of N categories of malware files, with i from 1 to N and N>2, one or more features which are specific to said category Ci with respect to all other N?1 categories Cj, with j different from i, according to at least one first specificity criteria, feeding the data structure to the machine learning algorithm of the malware determination system, and providing prospects representative of one or more malware categories to which said file belongs, based on said data structure.

Abstract: A method of allocating transmission time slots in an optical wireless system. Resources are allocated taking account of asymmetry of interference diagrams on uplink and downlink and adopting reuse of transmission intervals for each channel, in areas in which there is no interference. In some embodiments, the allocation method allows for relaying between access points through the network to take account of the fact that the access point providing the best uplink (or downlink) can be distinct from the access point associated with the terminal.

Abstract: A remote unit includes an electronics assembly, a housing, and a fastening member. The electronics assembly includes a communications module and an image sensor, having a lens with a field of view, that captures images of a display of a meter. The housing includes a cover coupled to a base member. The base member couples to the meter and includes an aperture. The electronics assembly is retained between the base member and the cover, such that the lens aligns with the aperture. The fastening member receives a portion of the housing in a hollow section. A mechanism of the fastening member attaches to a portion of the meter, maintaining the display in the field of view. The communications module transmits image data, derived from the captured images, to a hub unit. The hub unit processes the image data, and forwards information extracted from the image data to a remote server.

Abstract: A method and system provides access control for sensitive data. An access control system defines a plurality of access policies for gaining access to the sensitive data. Each access policy includes a plurality of rules that indicate whether or not a client machine can gain access to an initial access secret under the policy. If a client machine requests access to the sensitive data, the access control system checks to see if the client machine satisfies the rules of the access policy. If the characteristics of the client machine satisfy the rules of the access policy, then the access control system provides a ticket to the client machine and instructs the client machine to write the ticket to a client machine information database. If the client machine writes the ticket to the client machine information database, then the access control system provides an initial access secret to the client machine.

Abstract: A hair brush for use with a person's head of hair is described in this disclosure. The hair brush illustratively includes a handle and a brush head with bristles that extend out from a hair-shaping guide.

Abstract: A hair accessory for integration with a person's head of hair is described in this disclosure. The hair accessory illustratively includes a plurality of supplemental hairs, an attachment band that provides means for removably coupling the plurality of supplemental hairs to natural hairs included in the person's head of hair, and an outer strip coupled to the attachment band to cover at least a portion of the coupling means. The attachment band is illustratively flexible and couples to natural hairs included in the person's head of hair mechanically.

Abstract: A security element, preferably a security wire, for a secure document, that may include a masking structure for reducing the visibility of a surface of the element when the latter is located inside the document or on the surface of the document, the masking structure comprising a nanometric filler and a multilayer interference pigment.

Abstract: A security element, preferably a security wire, for a secure document, may include a masking structure for reducing the visibility of a surface of the element when the latter is located inside the document or on the surface thereof, the masking structure comprising a mixture of at least two nanometric fillers.

Abstract: According to some embodiments, a method for training a malware detector comprising a deep learning algorithm is described, which comprises converting a set of malware files and non malware files into vectors by using a feature based dictionary, and/or by using a conversion into an image, and providing prospects that the files constitute malware. Various features and combinations of features are described to build a feature based dictionary and adapt its size. According to some embodiments, a method for detecting a malware by using a malware detector comprising a deep learning algorithm is described, which comprises converting a file into a vector by using a feature based dictionary, and/or by using a conversion into an image, and providing prospects that the file constitutes malware. Methods for providing a plurality of prospects and aggregating these prospects are provided. Additional methods and systems in the field of malware detection are also described.

Abstract: A remote unit includes an electronics assembly, a housing, and a fastening member. The electronics assembly includes a communications module and an image sensor, having a lens with a field of view, that captures images of a display of a meter. The housing includes a cover coupled to a base member. The base member couples to the meter and includes an aperture. The electronics assembly is retained between the base member and the cover, such that the lens aligns with the aperture. The fastening member receives a portion of the housing in a hollow section. A mechanism of the fastening member attaches to a portion of the meter, maintaining the display in the field of view. The communications module transmits image data, derived from the captured images, to a hub unit. The hub unit processes the image data, and forwards information extracted from the image data to a remote server.

Abstract: A system for operating a visually impaired accessible signage, the system comprising: an accessibility tag configured to attach to a signage or to a surface near the signage, store communication information, communicate with a mobile device and prompt display of information by the mobile device, wherein the information is gained from an information file, and a database configured to store at least one information file. Additional embodiments of the system and methods for use thereof are described herein.

Abstract: Certain examples of apparatus for applying fluid in a printing system are described. The apparatus comprise a first chamber having a first aperture extending along a first axis, and a second chamber having a second aperture extending along a second axis, wherein the first axis is substantially parallel to the second axis. The second chamber is movable with respect to the first chamber. Also, methods for supplying a fluid, and printing systems are described.

Abstract: A method comprising: receiving, from a web browser, a request for content to be inserted into a sub-document that is nested inside a main document; and transmitting to said web browser, in response to the request: said content, and a client-side script that, when inserted by said web browser into said sub-document: (i) listens to software methods that attempt to invoke a user event without an action by a user of said web browser, (ii) analyzes said user event to determine if said user event is configured to cause said web browser to navigate away from said main document.

Abstract: According to some embodiments, a method for training a malware detector comprising a deep learning algorithm is described, which comprises converting a set of malware files and non malware files into vectors by using a feature based dictionary, and/or by using a conversion into an image, and providing prospects that the files constitute malware. Various features and combinations of features are described to build a feature based dictionary and adapt its size. According to some embodiments, a method for detecting a malware by using a malware detector comprising a deep learning algorithm is described, which comprises converting a file into a vector by using a feature based dictionary, and/or by using a conversion into an image, and providing prospects that the file constitutes malware. Methods for providing a plurality of prospects and aggregating these prospects are provided. Additional methods and systems in the field of malware detection are also described.

Abstract: A method of allocating transmission time slots in an optical wireless system. Resources are allocated taking account of asymmetry of interference diagrams on uplink and downlink and adopting reuse of transmission intervals for each channel, in areas in which there is no interference. In some embodiments, the allocation method allows for relaying between access points through the network to take account of the fact that the access point providing the best uplink (or downlink) can be distinct from the access point associated with the terminal.

Abstract: Methods and systems are disclosed for training a malicious webpages detector for detecting malicious webpages, based on a training set comprising a plurality of samples representing malicious and non-malicious webpages. Text content can be extracted from the source code of each sample, and/or non-text content can be extracted from each sample, in order to train respectively at least a first deep learning neural network and a second deep learning neural network of the malicious webpages detector. A malicious webpages detector can detect whether or not a webpage is malicious, by extracting text content from the source code of the webpage, and/or non-text content from the webpage, thereafter providing prospects that the webpage is malicious based on the extracted data.

Abstract: A remote unit includes an electronics assembly, a housing, and a fastening member. The electronics assembly includes a communications module and an image sensor, having a lens with a field of view, that captures images of a display of a meter. The housing includes a cover coupled to a base member. The base member couples to the meter and includes an aperture. The electronics assembly is retained between the base member and the cover, such that the lens aligns with the aperture. The fastening member receives a portion of the housing in a hollow section. A mechanism of the fastening member attaches to a portion of the meter, maintaining the display in the field of view. The communications module transmits image data, derived from the captured images, to a hub unit. The hub unit processes the image data, and forwards information extracted from the image data to a remote server.