Abstract: A system and method for identifying computing interface calls using communications protocols. A method includes extracting data from a communications session involving communication between a first computing interface and a second computing interface, wherein the communication between the first computing interface and the second computing interface is implemented via a plurality of communication protocol layers, wherein extracting the data from the communications session further comprises building at least one layer of the plurality of communication protocol layers based on a portion of the data extracted from at least one other layer of the plurality of communication protocol layers; duplicating traffic for the communications session based on the extracted data, wherein duplicating the traffic further comprises converting the extracted data into a unified data modeling format; and identifying at least one computing interface call based on the duplicated traffic.

Abstract: A method of manufacturing an orthotropic deck panel includes cambering a deck plate of the orthotropic deck panel to a first degree of camber in a longitudinal direction, cambering the deck plate to a second degree of camber in a transverse direction, and attaching a rib member of the orthotropic deck panel to the deck plate by welding the rib member to the deck plate. The first degree of camber corresponds to a shape of a surface of which the orthotropic deck panel is a part, and the second degree of camber is configured such that the deck plate is flatter in the transverse direction after the rib member is welded to the deck plate than when the deck plate is being cambered in the transverse direction.

Abstract: A multiple produce growth support apparatus comprises a plurality of growth supports having a growth substrate and produce arranged to grow within said respective growth substrate; a connection assembly, each of said plurality of growth supports connected to said connection assembly; an irrigation assembly arranged to irrigate said plurality of growth supports; and a rotation mechanism coupled to said connection assembly and arranged to rotate said plurality of growth supports about a predetermined rotation axis, wherein, when at least one of said growth support provides at least one growth substrate that is ready to be sold to the consumers said at least one growth substrate is moved to the section that is visible to present and deliver the produce to said consumers; whereby, said apparatus provides consumers with fresh produce directly from said growth substrate.

Abstract: A system for enabling plant growth in an automatic manner, the system including a system growing chamber; automatic transport mechanism; and a cooling sub-chamber, where an inner portion of the cooling sub-chamber is thermally insulated from an outside environment of the cooling sub-chamber, and where the cooling sub-chamber includes a refrigerating mechanism and temperature control electronics.

Abstract: This disclosure provides systems, methods and apparatuses for recommending items to users of a recommendation system. In some implementations, the recommendation system determines a plurality of contribution values based on interactions between a plurality of users and a plurality of items. Each of the plurality of contribution values represents a confidence level that a respective user prefers a respective item. The recommendation system further determines a capacity of each of the plurality of items. The capacity of each item represents a maximum number of users to which the item can be recommended. The recommendation system recommends one or more items of the plurality of items to each of the plurality of users based at least in part on the plurality of contribution values and the capacities of the plurality of items.

Abstract: A spectrometer for studying a sample comprises a light guide for receiving light from the sample. The received light is emitted by the light guide through an exit surface that is on a side of the light guide and extending in a longitudinal direction of the light guide. The light emitted through the exit surface is filtered by a linear variable filter having an array of bandpass filters extending alongside and adjacent the exit surface. The filtered light is detected by the photodetectors of a detector array disposed parallel to the linear variable filter, and signals of the photodetectors are analyzed to obtain a spectral distribution of the light from the sample.

Abstract: Detection of a security threat to a web browser by: Wrapping a suspect JavaScript code with a detection JavaScript code, wherein, when the wrapped suspect JavaScript code is executed in a web browser, the detection JavaScript code indirectly monitors access to a property of a non-writable, non-configurable JavaScript property, to detect an attempt by the suspect JavaScript code to perform a malicious action in the web browser. Executing the wrapped suspect JavaScript code in the web browser, to effect the monitoring and the detection.

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: The present disclosure relates to cleaning a surface in a printing device, wherein a guiding member directs a stream of cleaning fluid towards the surface; and at least one barrier unit to confine the stream of cleaning fluid to a portion of the surface, wherein the at least one barrier unit guides air to provide at least one air curtain confining said stream of cleaning fluid to the portion of the surface.

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 hair extension for integration with a person's head of hair is described in this disclosure. The hair extension illustratively includes a plurality of supplemental hairs and 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. The attachment band is illustratively flexible and couples to natural hairs included in the person' s head of hair mechanically.

Abstract: The present disclosure relates to cleaning a surface in a printing device, wherein a steam guiding member directs a steam flow towards the surface; wherein the steam flow interacts with a substance on said surface to clean a portion of the surface.

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: 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 handbag includes first and second side panels. The first side panel includes oppositely disposed first and second outer sidewalls. A first zipper arrangement of a first profile is coupled to the first outer sidewall. A second zipper arrangement of the first profile is coupled to the second outer sidewall. The second side panel includes oppositely disposed first and second outer sidewalls. A first zipper arrangement of a second profile coupled to the first outer sidewall of the second side panel member. A second zipper arrangement of the second profile coupled to the second outer sidewall of the second side panel member. The zipper arrangements of the first profile can engage with each of the zipper arrangements of the second profile. A compartment is formed by one of the outer sidewalls of the first and second side panels.

Abstract: An autonomous plant growing system, comprising: a) a body having an interior volume defined by a front portion, two side panels, a top panel, a bottom panel, and a back panel; b) at least one adjustable lighting assembly for enabling to automatically adjust the lighting condition within the interior volume, in order to provide optimal lighting conditions with respect to each growing state of the plant; c) an irrigation assembly that function as an aeroponic assembly and a hydroponic assembly; d) one or more sensors for obtaining data that represents the condition of the plant and the growing environment within the interior volume; and e) a control unit configured to automatically control the adjustable lighting assembly and the irrigation assembly and to self-perform respective growing process operations during the growing states of the plant.

Abstract: A method of manufacturing an orthotropic deck panel includes cambering a deck plate of the orthotropic deck panel to a first degree of camber in a longitudinal direction, cambering the deck plate to a second degree of camber in a transverse direction, and attaching a rib member of the orthotropic deck panel to the deck plate by welding the rib member to the deck plate. The first degree of camber corresponds to a shape of a surface of which the orthotropic deck panel is a part, and the second degree of camber is configured such that the deck plate is flatter in the transverse direction after the rib member is welded to the deck plate than when the deck plate is being cambered in the transverse direction.

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 manufacturing an orthotropic deck panel includes securing a rib member in a first fixture, beveling an edge surface of the rib member while the rib member is secured in the first fixture, and releasing the rib member from the first fixture, attaching the rib member to a deck plate, and attaching a floor beam to the rib member and the deck plate.

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.