Abstract: A vibronic measurement sensor includes two measuring tubes for conveying the medium and two temperature sensors, each arranged on a surface portion of the measuring tubes, respectively, wherein: centroids of the two surface portions relative to an intersection line between a longitudinal plane of symmetry and the transverse plane of symmetry of the sensor are rotationally symmetrical to one another; the first centroid lies in a first section plane running perpendicular to a measuring tube center line of the first measuring tube, wherein an intersection point of the measuring tube center line with the first intersection plane is defined; and the first centroid is arranged relative to the intersection point of the measuring tube center line such that a measurement accuracy of the sensor is largely independent of the installation position, even when inhomogeneous temperature distributions are formed over measuring tube cross-sections at low Reynolds numbers.

Abstract: Examples for enhancing veracity of data are described herein. Data from a repository may be received based on a data receiving rule. From the received data, a first dataset may be generated using statistical modeling. Also, a first data veracity score for the first dataset is generated which is indicative of a degree of usability of the dataset. Another aspect relates to identifying an anomaly in the first dataset, the corrector, for each anomaly, to identify a correction technique from amongst a plurality of correction techniques. Further, a second dataset is generated using the identified correction technique having second data veracity score higher than the first data veracity score.

Abstract: A system for assessing a data model includes a data receiver, a model receiver, and a model assessment device. The data receiver receives training data, historical data, and production data. The model receiver receives the data model associated with the historical data and trained using the training data. The historical data includes a first outcome of the data model provided based on an input feature in the production data. The model assessment device identifies a key feature in the production data relative to the input feature based on a target category in the historical data and a statistical distribution of the input feature in the production data. The model assessment device determines a second outcome of the data model based on the key feature. In response to the second outcome being different from the first outcome, the model assessment device determines a veracity score for assessing the data model.

Abstract: For topogram predication from surface data, a sensor captures the outside surface of a patient. A generative adversarial network (GAN) generates the topogram representing an interior organ based on the outside surface of the patient. To further adapt to specific patients, internal landmarks are used in the topogram prediction. The topogram generated by one generator of the GAN may be altered based on landmarks generated by another generator.

Abstract: A method of making a compound represented by Formula (I): includes a reducing step, a protecting step, and a phosphitylating step, where X is NH; Y is OCF3, —O(CR42)aCR43, —O(CR42)bOCR43, or —O(CR42)b—CR4?CR42; Z is H; B is adenine (A), guanine (G), thymine (T), cytosine (C), uracil (U), 5-methylcytosine (5-me-C), or a protected version of A, G, T, C, U, or 5-me-C; each R1 is independently C1-6 alkyl or cycloalkyl; R2 is CH2CH2CN or C1-6 alkyl; or R1 and R2 together form an optionally substituted C1-6 cycloalkyl; R3 is H or PG; PG is a protecting group; R4 is independently in each instance H or F; a is 1 or 2; and b is 1, 2, or 3.

Abstract: A device implementing a system for expanded search includes a processor configured to identify plural words, and generate, for each word of the plural words, a word vector based on a proximity of the word relative to other words of the plural words, the word vector comprising plural dimensions. The processor is further configured to create a compressed word vector structure comprising clusters of subsets of the plural dimensions across the word vectors, each cluster including similar values of the respective dimensions, convert the word vectors to points on at least one plane, and partition the at least one plane into nested groupings of the points based on a threshold number of points per nested grouping. The processor is further configured to create a tree look-up structure of the nested groupings, and provide the compressed word vector structure and the tree look-up structure to a client device.

Abstract: This disclosure relates generally to system and method for parameter compression of capsule networks using deep features. The conventional capsule networks have distinct capability of retaining spatial correlations between extracted features but that comes at a cost of intensive computational, cost, memory usage and bandwidth requirement. The embodiments herein disclose a system and method for employing a lightweight deep features based capsule network that is capable of compressing the parameters. In an embodiment, the system includes a deep feature based capsule network such that the capsule layer is preceded by feature blocks. Said feature blocks comprises convolutional operation with a kernel size 3, followed by convolutional operation with kernel of size 1, and a Batch Normalization layer, and hence are able to extract deep features.

Abstract: Example apparatus described herein include a first circuit configured to slice an input image frame into input image slices, the first circuit including first outputs configured to output the input image slices. Described example apparatus also include digital light processing controllers (DLPCs) including first inputs coupled to the first outputs, the digital light processing controllers configured to process the input image slices to produce output image slices, the digital light processing controllers including second outputs configured to output the output image slices. Described example apparatus further include a second circuit including second inputs coupled to the second outputs, the second circuit configured to combine the output image slices to generate image frame data to provide to an input of a digital micromirror device (DMD).

Abstract: A method of hot spot ranking for a patterning process. The method includes obtaining (i) a set of hot spots of a patterning process, (ii) measured values of one or more parameters of the patterning process corresponding to the set of hot spots, and (ii) simulated values of the one or more parameters of the patterning process corresponding to the set of hot spots; determining a measurement feedback based on the measured values and the simulated values of the one or more parameters of the patterning process; and determining, via simulation of a process model of the patterning process, a ranking of a hot spot within the set of hot spots based on the measurement feedback.

Abstract: A computing device includes a control system that communicates with multiple sensors that capture data regarding a user. The control system communicates with each of the sensors to obtain information regarding the capabilities of each sensor, and uses this capability information to determine how to configure each of the sensors. The control system also selects one of the multiple sensors to be the master sensor, and the rest of the multiple sensors are slave sensors, and notifies the multiple sensors of whether they are a slave sensor or a master sensor. The master sensor collects sensor data for the multiple sensors, capturing data itself as well as receiving data captured by the slave sensors from the slave sensors. The master sensor sends an indication of the collected data (e.g., the collected data itself or data resulting from processing the collected data) to the control system for analysis and/or processing.

Abstract: The present invention discloses a method and a system for rendering content in low light condition for field assistance. The method comprising receiving real-time input data from a user device in a low light condition, identifying at least one object from the real-time input data and corresponding operational state of the at least one object based on a correlation of the at least one object in the input data and corresponding operational state of the at least object with pre-stored objects and corresponding operational state of the pre-stored objects, predicting at least one action to be performed on the identified at least one object, extracting an Augmented Reality (AR) object associated with the identified at least one object on which the selected action is to be performed, and rendering the location, the selected at least one action to be performed, and the AR object on the user device.

Abstract: Systems and processes for providing response suggestions are provided. In one example process, a textual representation of a message is received. Based on the textual representation of the message, one or more response categories and a predetermined number of suggested inputs corresponding to each of the one of more response categories are obtained. Based on the predetermined number of suggested inputs corresponding to each of the one of more response categories, one or more suggested inputs for each of the one or more response categories are determined. The one or more suggested inputs are provided as response suggestions to the message.

Abstract: The present invention relates to a method of generating a facial expression of a user for a virtual environment. The method comprises obtaining a video and an associated speech of the user. Further, extracting in real-time at least one of one or more voice features and one or more text features based on the speech. Furthermore, identifying one or more phonemes in the speech. Thereafter, determining one or more facial features relating to the speech of the user using a pre-trained second learning model based on the one or more voice features, the one or more phonemes, the video and one or more previously generated facial features of the user. Finally, generating the facial expression of the user corresponding to the speech for an avatar representing the user in the virtual environment.

Abstract: Described examples include a display having a first light source configured to provide a first light and a second light source configured to provide a second light. The display also having a spatial light modulator configured to produce a first modulated light by modulating the first light and configured to produce a second modulated light by modulating the second light. The display also having a first diffractive optical element configured to receive the first modulated light and configured to provide a first image having a first characteristic to display optics; and a second diffractive optical element configured to receive the second modulated light and configured to provide a second image having a second characteristic to the display optics.

Abstract: Disclosed is a new strategy, composition, and method for a self-assembling peptides (SAP) that will self-assemble atop COVID-19 for immune destruction and act as a functional COVID-19 opsonin. The designed self-assembling peptides bind and assemble atop SARS-CoV-2—providing a new mechanism of infection abrogation. One benefit is avoidance of side effects that other formulations or repurposed drugs contain. Other feature of this technology include: (a) (SAP) are composed of L-amino acids that are highly biocompatible sub-Q, IM and IV (no adverse reaction for 10% blood volume replacement with 1 w % peptide in mice or rats); (b) Highly targeted approach that binds to viral particles preventing side effects; (c) SAP are intrinsically biodegradable and endocytosed; (d) SAP bound COVID-19 may promote engulfment, clearance, and antigen presentation (for immunity development); and (e) targeting the spike protein with SAP may allow treatment of other coronaviruses.

Abstract: The present disclosure relates to compounds and compositions containing 5?-phosphoramidite nucleoside monomers of formulae (I) and (II), and methods of making and use, wherein the substituents are as defined in the appended claims.

Abstract: A correspondence between frames of a set of medical image data is determined where the set of medical image data includes at least one frame acquired without contrast medium and at least one frame acquired with contrast medium. First data representing a first image frame acquired without contrast medium is received. Second data representing a second image frame acquired with contrast medium is received. A position of a feature of a medical device in the second image frame is determined at least partly on the basis of a position of the feature determined from the first image frame.

Abstract: Disclosed herein are novel methods of treating pain in a patient in need thereof by providing to the patient a selective dopamine D3 receptor antagonist/partial agonist which when used with an opioid analgesic, can mitigate the development of opioid dependence, by preventing the need for dose escalation while either maintaining the opioid analgesic effect or providing analgesia with a lower dose of the opioid. In addition, the D3 antagonists/partial agonists described herein may be used to augment the effectiveness of current Medication Assisted Treatment regimens (e.g. methadone or buprenorphine) for the treatment of opioid use disorders.

Abstract: Various embodiments provide STOPS™ polymers that are S-antigen transport inhibiting oligonucleotide polymers, processes for making them and methods of using them to treat diseases and conditions. In some embodiments the STOPS™ modified oligonucleotides include an at least partially phosphorothioated sequence of alternating A and C units having modifications as described herein. The sequence independent antiviral activity against hepatitis B of embodiments of STOPS™ modified oligonucleotides, as determined by HBsAg Secretion Assay, is greater than that of a reference compound.

Abstract: The present disclosure relates to the field of pharmaceutical compounds and preparations and method of their use in the treatment of disease. Described are antisense oligonucleotide (ASO) molecules, compositions containing the same, and uses thereof for treating or preventing coronavirus infections. In particular, the present disclosure provides specific ASOs that are effective against a broad spectrum of coronaviruses, and especially the ?-coronaviruses, including SARS-CoV-2, the causative agent of COVID-19.