Abstract: In one embodiment, the disclosed apparatus is a heat-pipe cooling system that includes a conical structure having an upper portion that is truncated. The conical structure is configured to be formed above a dielectric window with the conical structure being configured to condense vapor from a heat-transfer fluid placed or formed within a volume formed between the dielectric window and the conical structure. At least one cooling coil is formed on an exterior portion of the conical structure. Other apparatuses and systems are disclosed.

Abstract: In some examples, a magnetic shield for a plasma source is provided. An example magnetic shield comprises a back-shell. The back-shell includes a cage defined, at least in part, by an arrangement of bars of ferro-magnetic material. The cage is sized and configured to at least extend over a top side of an RF source coil for the plasma source.

Abstract: At least one encoder processor of a simulator data processing system receives simulator data from a plurality of simulators comprising a plurality of video data, including first and second data having different frame rates, and non-audio/visual data, and outputs a respective plurality of compressed video streams. A scheduler of the at least one encoder processor uses frames of the video data to generate scheduled items, specifies a frame rate for capturing the frames, and generates encoded data based on the compressed video streams and the non-audio/visual simulator data. At least one further processor receives, decodes, and processes the encoded data. The at least one further processor executes a media player/renderer application that processes the compressed video streams and displays on the display a plurality of the decoded video data are simultaneously displayed on a display at the specified frame rate, together with information based on the non-audio/visual simulator data.

Abstract: Presented herein are systems and methods for increasing reliability of object detection, comprising, receiving a plurality of images of one or more objects captured by imaging sensor(s), receiving an object classification coupled with a first probability score from machine learning model(s) trained to detect the object(s) and applied to the image(s), computing a second probability score for classification of the object(s) according to physical attribute(s) of the object(s) estimated by analyzing the image(s), computing a third probability score for classification of the object(s) according to a movement pattern of the object(s) estimated by analyzing at least some consecutive images, computing an aggregated probability score aggregating the first, second and third probability scores, and outputting, in case the aggregated probability score exceeds a certain threshold, the classification of each object coupled with the aggregated probability score for use by object detection based system(s).

Abstract: In some examples, a magnetic shield for a plasma source is provided. An example magnetic shield comprises a back-shell. The back-shell includes a cage defined, at least in part, by an arrangement of bars of ferro-magnetic material. The cage is sized and configured to at least extend over a top side of an RF source coil for the plasma source.

Abstract: This invention relates to compositions including antibacterial compounds. The invention also relates to the use of the compositions in methods of treating bacterial infections. In one aspect the present invention also provides a method of increasing the susceptibility of bacteria to the anti-bacterial activity of a compound, the method comprising contacting the bacteria with a star shaped peptide polymer of the invention, thereby increasing the susceptibility of the bacteria to the anti-bacterial activity of the compound. Preferably, the method further includes the step of contacting the bacteria with the compound for which the bacteria have increased susceptibility to. The invention is further relates to the combination of a star shaped peptide polymer and an anti-bacterial compound that restore the sensitivity of antibiotic resistant bacteria to antibiotics that are otherwise ineffective when administered alone.

Abstract: A ceramic layer is attached to a top surface of a base plate using a bond layer. The ceramic layer has a top surface configured to support a substrate. At least one clamp electrode is positioned within an upper region of the ceramic layer. A primary radiofrequency (RF) power delivery electrode is positioned within the ceramic layer at a location vertically below the at least one clamp electrode such that a region of the ceramic layer between the primary RF power delivery electrode and the at least one clamp electrode is substantially free of other electrically conductive material. A plurality of RF power delivery connection modules is distributed in a substantially uniform manner about a perimeter of the ceramic layer. Each of the RF power delivery connection modules is configured to form an electrical connection from the base plate to the primary RF power delivery electrode at its respective location.

Abstract: The invention relates to generation and use of cellular and humoral responses for the prevention and treatment of P. gingivalis related conditions and diseases.

Abstract: Presented herein are systems and methods for increasing reliability of object detection, comprising, receiving a plurality of images of one or more objects captured by imaging sensor(s), receiving an object classification coupled with a first probability score from machine learning model(s) trained to detect the object(s) and applied to the image(s), computing a second probability score for classification of the object(s) according to physical attribute(s) of the object(s) estimated by analyzing the image(s), computing a third probability score for classification of the object(s) according to a movement pattern of the object(s) estimated by analyzing at least some consecutive images, computing an aggregated probability score aggregating the first, second and third probability scores, and outputting, in case the aggregated probability score exceeds a certain threshold, the classification of each object coupled with the aggregated probability score for use by object detection based system(s).

Abstract: Provided herein are systems and methods for applying adaptive classes thresholds to enhance object detection Machine Learning (ML) models by receiving a plurality of labeled feature vectors extracted from a plurality of images associated with a plurality of objects, one or more subsets of the plurality of feature vectors are associated with respective object(s) and labeled accordingly, computing an adaptive threshold for each object in a plurality of iterations, each iteration comprising: (1) computing deviation of a respective feature vector of the subset from an aggregated feature vector, (2) computing, in case the deviation is within a predefined value, a threshold enclosing the respective feature vector, and (3) adjusting the adaptive threshold to enclose the threshold of the respective feature vector and outputting the adaptive threshold(s) for classifying unlabeled feature vectors to class(s) of respective object(s) associated with the adaptive threshold(s) in which the unlabeled feature vectors fall.

Abstract: Presented herein are systems, methods and apparatuses for increasing reliability of face recognition in analysis of images captured by drone mounted imaging sensors, comprising: recognizing a target person in one or more iterations, each iteration comprising: identifying one or more positioning properties of the target person based on analysis of image(s) captured by imaging sensor(s) mounted on a drone operated to approach the target person, instructing the drone to adjust its position to an optimal facial image capturing position selected based on the positioning property(s), receiving facial image(s) of the target person captured by the imaging sensor(s), receiving a face classification associated with a probability score from machine learning model(s) trained to recognize the target person, and initiating another iteration in case the probability score does not exceed a certain threshold. Finally, the face classification may be outputted for use by one or more face recognition based systems.

Abstract: A dual mode power device for controlling voltage level to a plasma processing apparatus is disclosed. The dual mode power device comprises a power supply connector and a control circuit. The power supply connector is connected to a first voltage power supply or a second voltage power supply. The control circuit is connected between an output of the power supply connector and a first and second voltage subsystem of the plasma processing apparatus. The control circuit provides a first voltage based on the first voltage power supply to the first voltage subsystem in a first mode of operation of the plasma processing apparatus. The control circuit provides a second voltage based on the second voltage power supply to the second voltage subsystem in a second mode of operation of the plasma processing apparatus.

Abstract: A ceramic layer is attached to a top surface of a base plate using a bond layer. The ceramic layer has a top surface configured to support a substrate. A clamp electrode assembly is positioned within an upper region of the ceramic layer. The clamp electrode assembly serves to clamp the substrate to the top surface of the ceramic layer and functions as a primary radiofrequency (RF) power delivery electrode. A plurality of RF power delivery connection modules is distributed in a substantially uniform manner about a perimeter of the ceramic layer. Each of the RF power delivery connection modules is configured to form an electrical connection from the base plate to the clamp electrode assembly at its respective location.