Abstract: A system for high-resolution high-contrast x-ray ghost diffraction comprises: A) a laboratory x-ray source configured to provide an input beam; B) a diffuser configured to induce intensity fluctuations in the input beam; C) a beam splitter configured to split the input beam into: i) a test arm comprising an object and a single-pixel detector; and ii) a reference arm comprising one of: (a) a multi-pixel detector and (b) a single-pixel detector and an aperture or a scanning slit configured to simulate a one or two dimensional multi-pixel detector; and D) a processor configured to receive output intensity measurements of the detectors in the test arm and the reference arm, to record the output intensity measurements at different rotational positions of the rotating diffuser, to correlate the output intensity measurements, and to use the correlated output measurements to reconstruct a diffraction pattern of the object; wherein the object is placed as close as possible to the beam splitter and the detectors in the

Abstract: A computer-implemented method for shape deformation, comprising: obtaining an image; obtaining one or more positional constraints; determining a shape deformation/image map, based on the positional constraints; applying the shape deformation to the image; and outputting the image.

Abstract: Disclosed herein is a neural network based pre-decoder comprising a permutation embedding engine, a permutation classifier each comprising one or more trained neural networks and a selection unit. The permutation embedding engine is trained to compute a plurality of permutation embedding vectors each for a respective one of a plurality of permutations of a received codeword encoded using an error correction code and transmitted over a transmission channel subject to interference. The permutation classifier is trained to compute a decode score for each of the plurality of permutations expressing its probability to be successfully decoded based on classification of the plurality of permutation embedding vectors coupled with the plurality of permutations. The selection unit is configured to output one or more selected permutations having a highest decode score. One or more decoders may be then applied to recover the encoded codeword by decoding the one or more selected permutations.

Abstract: The invention relates to a novel highly selective and potent NPP1 inhibitors, compositions comprising such, and their use as pharmaceuticals.

Abstract: Provided are Siglec-based chimeric polypeptides. Accordingly there is provided a chimeric receptor comprising: (a) an extracellular domain comprising an amino acid sequence of a Siglec-7 or a Siglec-9 receptor capable of binding a Siglec-7 and/or a Siglec-9 ligand; and (b) an intracellular domain comprising an amino acid sequence capable of transmitting a co-stimulatory signal in an immune cell expressing the chimeric receptor upon binding of said extracellular domain to said ligand. Also provided are polynucleotides encoding same, cells expressing same and methods of use thereof.

Abstract: There is provided a system for computing a secure statistical classifier, comprising: at least one hardware processor executing a code for: accessing code instructions of an untrained statistical classifier, accessing a training dataset, accessing a plurality of cryptographic keys, creating a plurality of instances of the untrained statistical classifier, creating a plurality of trained sub-classifiers by training each of the plurality of instances of the untrained statistical classifier by iteratively adjusting adjustable classification parameters of the respective instance of the untrained statistical classifier according to a portion of the training data serving as input and a corresponding ground truth label, and at least one unique cryptographic key of the plurality of cryptographic keys, wherein the adjustable classification parameters of each trained sub-classifier have unique values computed according to corresponding at least one unique cryptographic key, and providing the statistical classifier, whe

Abstract: There is provided a computer-implemented method of compressing a baseline dataset, comprising: creating a weight function that calculates a weight for each instance of each unique data elements in the baseline dataset, as a function of sequential locations of each of the instances of each respective unique data element within the baseline dataset, creating an output dataset storing a codeword for each one of the unique data elements, wherein codewords are according to a compression rule defining data elements associated with a relatively higher weight as being associated with codewords that are relatively shorter, dynamically creating the compressed dataset by sequentially iterating, for each current sequential location of the baseline dataset: determining an encoded data element mapped to the respective data element of the current sequential location according to the weight function, and adjusting the codewords of the output dataset according to the current weights to maintain the compression rule.

Abstract: A system for the therapeutic treatment of joints comprising a composite material comprising a biodegradable polymer matrix and a plurality of piezoelectric particles adapted to generate local electric charges in response to an external stimulation made by means of ultrasound, said plurality of piezoelectric particles being dispersed in the matrix. The composite material also comprises a plurality of stamina cells dispersed in the biodegradable polymer matrix and a plurality of carbon-based particles. The system also comprises a releasing device, arranged to deposit the composite material in a joint cavity at predetermined areas of the cartilage, and a stimulator device arranged to emit ultrasound at a predetermined frequency, a predetermined intensity and for a predetermined time of application, in such a way that, when the device is located near a joint wherein the composite material has been deposited, said ultrasound stimulate the plurality of piezoelectric particles.

Abstract: A technique to mitigate timing errors induced by power supply droops includes an inverter-based droop detector as well as Dual Mode Logic (DML) to achieve a droop-resist ant timing response. The droop detector is based on capacitor ratios and is thus less sensitive to Process/Voltage/Temperature (PVT) and to random offset than the prior art. The DML can alter its power/performance ratio based on the droop level input it receives from the detector, such that the critical timings are preserved.

Abstract: A method for multiparty computation wherein a plurality of parties each compute a preset function without revealing inputs thereof to others, comprises: each of the parties performing a validation step to validate that computation of the function is carried out correctly, wherein the validation step includes: a first step that prepares a plurality of verified multiplication triples and feeds a multiplication triple to a second step when required; and the second step that consumes a randomly selected multiplication triple generated by the first step, wherein the first step performs shuffling of the generated multiplication triples, in at least one of shuffle in a sequence and shuffle of sequences.

Abstract: A spectral imaging device includes an imager, a scanning stage to establish relative motion between the imager and a sample in a scanning direction and an optical system controlling a light characteristic of a light beam constituting an image of the sample to the imager. The optical system includes a light varying element to receive the light beam and provide an output light beam with spatially varying light characteristic over a cross-section thereof. A set of redirecting optical elements direct light rays from the sample to form the light beam, and to focus the output light beam onto the imager. A controller controls the scanning stage and the imager to capture a plurality of image frames with an overlap including a defined shift that is greater than 1 pixel along the scanning direction between consecutive image frames. A computing device consolidates image data to provide an image of the sample.

Abstract: A logic circuit includes a data signal input, a computational module, a direct timing modulator and an amplitude and non-direct timing modulator. The data signal input inputs data signals. The computational module includes multiple logic elements interconnected to perform a logic function. The direct timing modulator modulates a propagation time of the input data signals from the data signal input to the computational unit, in accordance with a first set of control signals. The amplitude and non-direct timing modulator modulates the processing time of data signals by the computational module and the amplitude of data signals propagating through the computational module, in accordance with a second set of control signals.

Abstract: The present invention provides a system for imaging an object comprising: an optical imaging unit for imaging an object on a detection array, the optical imaging unit defining an optical axis and comprising a multicore fiber configured to collect light from the object at an input edge of the multicore fiber and transfer collected light to an output edge of the multicore fiber; a displacing unit configured to shift the input edge of the multicore fiber relatively to the object in a plane substantially perpendicular to the optical axis to obtain a set of shifted images of the object; and an operating unit configured to operate the displacing unit by setting a shifting amplitude to either a first amplitude inferior or equal to the diameter of a core of the multicore fiber or a second amplitude superior or equal to the diameter of the multicore fiber.

Abstract: There is provided a system for computing a secure statistical classifier, comprising: at least one hardware processor executing a code for: accessing code instructions of an untrained statistical classifier, accessing a training dataset, accessing a plurality of cryptographic keys, creating a plurality of instances of the untrained statistical classifier, creating a plurality of trained sub-classifiers by training each of the plurality of instances of the untrained statistical classifier by iteratively adjusting adjustable classification parameters of the respective instance of the untrained statistical classifier according to a portion of the training data serving as input and a corresponding ground truth label, and at least one unique cryptographic key of the plurality of cryptographic keys, wherein the adjustable classification parameters of each trained sub-classifier have unique values computed according to corresponding at least one unique cryptographic key, and providing the statistical classifier, whe

Abstract: An FD-SOI GC-edRAM gain cell includes: a write bit line terminal connected to a WBL; a read bit line terminal connected to a RBL; a write trigger terminal connected to a WWL, for inputting a write trigger signal; a read trigger terminal put connected to a RWL, for inputting a read trigger signal; at least one body voltage terminal connected to a respective body voltage; and multiple FD-SOI transistors. The FD-SOI transistors are interconnected to form a storage node for retaining a data signal. The bodies of at least two of the transistors are coupled in a single well to a body voltage terminal. The write trigger signal triggers writing an input data signal from the write bit line terminal to the storage node and the read trigger signal triggers outputting the retained data signal from the storage node to the read bit line terminal.

Abstract: There is provided a computer-implemented method of compressing a baseline dataset, comprising: creating a weight function that calculates a weight for each instance of each unique data elements in the baseline dataset, as a function of sequential locations of each of the instances of each respective unique data element within the baseline dataset, creating an output dataset storing a codeword for each one of the unique data elements, wherein codewords are according to a compression rule defining data elements associated with a relatively higher weight as being associated with codewords that are relatively shorter, dynamically creating the compressed dataset by sequentially iterating, for each current sequential location of the baseline dataset: determining an encoded data element mapped to the respective data element of the current sequential location according to the weight function, and adjusting the codewords of the output dataset according to the current weights to maintain the compression rule.

Abstract: A method, a non-transitory computer readable medium and a system for compensating for an electromagnetic interference induced deviation of an electron beam. The method may include obtaining measurement information about a magnetic field within an electron beam tool, the measurement information is generated by at least one planar Hall Effect magnetic sensor that is located within the electron beam tool; wherein the at least one planar Hall Effect magnetic sensor comprises at least one magnetometer integrated with at least one magnetic flux concentrator; estimating the electromagnetic interference induced deviation of the electron beam, the estimating is based on the magnetic field; and setting a trajectory of the electron beam to compensate for the electromagnetic interference induced deviation of the electron beam.

Abstract: Embodiments of the invention relate to liposomes comprising: a lipid bilayer having an internal cavity; a therapeutic agent within the internal cavity configured to modify expression or degradation of WASp in a cell; and a targeting moiety external to the lipid bilayer configured to target an extracellular domain of a cell. Embodiments of the invention relate to methods of treatment of disease comprising administering the liposomes. Novel pharmaceutical compositions are also disclosed.

Abstract: Provided is an optical device including a dielectric transparent substrate and a metallic layer having a thickness between about 20 nm and about 1000 nm disposed on the transparent substrate. The metallic layer comprises at least one localized group of cavities, each localized group being confined within a diameter smaller than about 5 um, and each localized group comprising at least two cavities, with a distance between two adjacent cavities in the localized group being between about 100 nm and about 2000 nm. Each cavity in the localized group is shaped as a through-hole in the metallic layer, the through hole having a polygonal cross-section having a polygon side length between 50 nm and 2000 nm.

Abstract: Provided are isolated monoclonal antibodies or any antigen-binding fragment thereof which bind to hepatitis C virus E2 protein (HCV E2). In particular the presently claimed subject matter concerns neutralizing anti HCV E2 antibodies, and their use for treating HCV infection. Furthermore, the presently claimed subject matter concerns methods for preparing neutralizing anti HCV scFv antibodies associated with HCV clearance.