Abstract: The present invention is directed to a CH3-containing molecule comprising (a) a first polypeptide comprising a CH3 domain and a negatively charged domain comprising consecutive negatively charged amino acid residues; and (b) a second polypeptide comprising a CH3 domain and a positively charged domain comprising consecutive positively charged amino acid residues. Also provided are methods for conjugating synthetic molecules to a multi-specific antigen binding molecule.

Abstract: Methods and apparatus are described for using ambient acoustic energy as a passive source in marine seismic surveys. An example embodiment includes (a) accessing signals that were recorded by sensors in the presence of acoustic energy that was emitted by a passive source during a marine seismic survey; (b) identifying a point to represent a location from which the acoustic energy was emitted; (c) isolating, from the recorded signals, a direct wavefield arriving at the sensors from a direction of the identified point; and (d) generating an estimated passive source wavefield at the identified point by backpropagating the isolated direct wavefield to the identified point. The estimated passive source wavefield may be used, together with signals recorded by the sensors, to generate an image of a subsurface earth volume without the use of active seismic sources.

Abstract: The present invention provides a polypeptides comprising a heavy chain domain 2 (HD2) from IgM or IgE and at least one pharmaceutically active moiety, complexes thereof and their use for therapy and prophylaxis.

Abstract: The invention relates to a method and a device for determining the state of charge (SOC) of a rechargeable battery (106) of a specified battery type, or a parameter physically related thereto, in particular a remaining charge amount Q contained in the battery, wherein the method operates by means of a voltage-controlled battery model (102), which is parameterized for the battery (106) in question or a corresponding battery type. It is merely necessary to measure the battery voltage Umeas and to provide it to the battery model (102) as an input variable. The invention further relates to a method and a device for determining the state of health (SOH) of a battery (102), wherein the battery model (102), which is also used to determine the SOC, provides a modelled battery current Imod. Modelled charge amounts during charging and discharging phases of the battery (106) can be determined therefrom and compared with measured charge amounts, which are determined from the measured battery current Imeas.

Abstract: The present disclosure relates to a system that is operable to receive an execution plan and execute a control operation on one or more equipment based operations within the execution plan. The one or more operations may include a data capturing operation associated with a resource site. In one embodiment, the system may be operable to execute at least a first operation in response to a success variable of the data capturing operation indicating a successful execution of the data capturing operation. The first operation may include a quality control operation that is executed by comparing at least one characteristic of the captured data to an expected characteristic to generate quality state data. The quality state data may have one of an acceptable status and an undesirable status. In response to the quality state data indicating an acceptable status for the quality control operation, executing at least a second operation.

Abstract: The present inventors have discovered that in living organisms that have received an antigen-binding molecule containing an antigen-binding domain whose binding activity to an antigen changes depending on ion concentration conditions and containing an FcRn-binding domain having FcRn-binding activity in a neutral pH range, immune responses to the antigen are induced. Furthermore, the present inventors have discovered that in living organisms that have received an antigen-binding molecule containing an antigen-binding domain whose binding activity to an antigen changes depending on ion concentration conditions and containing an FcRn-binding domain having FcRn-binding activity in a neutral pH range, immune responses to the antigen are induced, and also the antigen-binding molecule has cytotoxicity or antiproliferative action against cancer cells, foreign biological species, or such that express the antigen to which the antigen-binding molecule binds.

Abstract: The invention provides a method of installing a sensor system in insulating material surrounding plant equipment and/or pipe work in a facility. The method comprises selecting a section of insulated plant equipment and/or pipework of the facility and installing a plurality of sensors in insulating material surrounding the plant equipment and/or pipe work in the section according to an installation plan. The plurality of sensors is installed by transmitting and/or receiving at least one unique identifier to and/or from each sensor of the plurality of sensors using an electronic apparatus and recording at least one installation property of each of the plurality of sensors using the unique identifiers. The method also comprises defining a group of installed sensors using the transmitted and/or received unique identifiers and associating the group of installed sensors with the section of insulated plant equipment and/or pipework.

Abstract: Described herein are agents and methods for targeting antigen-specific B cells using engineered T cells, such as regulatory T cells or cytotoxic T cells, or bi-specific antibodies. The agents and methods can be used to reduce undesirable immune responses.

Abstract: Methods and systems for optimizing a semiconductor measurement recipe that is robust to variations of hardware modeling parameters and geometric modeling errors are described herein. Robust measurement recipe optimization minimizes a cost function including one or more regularization terms that constrain the process space, and thus, significantly reduces the computational effort required to optimize a measurement recipe. This reduces overall process time and improves wafer throughput. In some examples, optimization is performed based on measurement data associated with multiple instances of a semiconductor structure; each instance characterized a different value of one or more geometric parameters of interest. In some examples, the search for optimized measurement recipes is limited to the discrete set of measurement system parameter values associated with the available measurement data set. In this manner, the performance of a particular measurement recipe is validated using existing measurement data.

Abstract: In example implementations described herein, there are systems and methods enabling manufacturers to become more efficient by providing a digital tool to track, visualize, quantify, and notify production bottlenecks for quick actions. Some implementations include an apparatus including a processor configured to analyze time-stamp data collected associated with a plurality of elements of an industrial process. The processor may be configured to generate, based on the analyzed time-stamp data, a color coded visualization of the industrial process, where generating the color coded visualization includes associating each of the plurality of elements of the industrial process with a corresponding color indicating a state of an element in the plurality of elements of the industrial process. The processor may further be configured to present, via a display, the generated color coded visualization of the industrial process.

Abstract: A backpropagation enabled model is trained for estimating time-lapse property changes of a subsurface volume. Synthetic models of the subsurface volume are generated, with pre-determined property changes before and after a time lapse. These models are used to compute baseline-monitor pairs of synthetic seismic traces before and after the time lapse, wherein the baseline synthetic traces are computed from the synthetic model before the time lapse and the monitor synthetic traces are computed from the synthetic model after the time lapse. A ground truth 4D attribute characterizing the time-lapse property changes in the synthetic models is defined, and a backpropagation enabled model is trained by feeding the baseline-monitor pairs of synthetic seismic traces and the corresponding ground truth 4D attribute. The thus obtained trained backpropagation enabled model can be used to estimate time-lapse property changes of the actual subsurface Earth volume from actual baseline-monitor pairs of seismic traces.

Abstract: A speed-based projection filtering method includes generating, based on a sequence of raw location points that indicate locations of a tracking tag attached to a tracked object, a sequence of averaged location points. Based on at least two most-recent averaged location points of the sequence, a latest speed and direction of the tracked object are determined. Based on the latest speed and direction, one or more projected location points are determined when the latest speed of the tracked object is greater than a high-speed threshold and raw location points are missing after the sequence of raw location points. The projected location points are then outputted.

Abstract: A synchronization device includes: a machine data acquisition unit acquiring, as machine data, time-series information regarding driving of a machine; a measurement data acquisition unit acquiring, as measurement data, time-series information regarding a state of the machine; a correlation calculation unit calculating a correlation time difference which is a time difference when the strength of correlation between the machine data and the measurement data is maximum on the basis of the machine data, the measurement data, and a time difference when any one of the machine data and the measurement data is staggered in a positive or negative direction of a time axis; a synchronized data output unit outputting the machine data synchronized with the measurement data and the measurement data synchronized with the machine data on the basis of the correlation time difference.

Abstract: The present invention relates to compositions and methods employing conjugates that include a self-assembly and disassembly (SADA) polypeptide and a binding domain. The present invention encompasses the recognition that conjugates with a SADA polypeptide have certain improved biological properties. SADA-conjugates are described, along with uses thereof (e.g., as therapeutic or diagnostic agents) and methods of manufacture.

Abstract: Disclosed are a system, apparatus and techniques for evaluating a dataset to confirm that the data in the dataset satisfies a data quality metric. A machine learning engine or the like may evaluate text strings within the dataset may be of arbitrary length and encoded according to an encoding standard. Data vectors of a preset length may be generated from the evaluated text strings using various techniques. Each data vector may be representative of the content of the text string and a category may be assigned to the respective data vector. The category assigned to each data vectors may be evaluated with respect to other data vectors in the dataset to determine compliance with a quality metric. In the case that a number of data vectors fail to meet a predetermined quality metric, an alert may be generated to mitigate any system errors that may result from unsatisfactory data quality.

Abstract: A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, a preprocessing unit configured to perform a preprocessing of converting a shape of the welding bead into a predetermined shape on the input data, and k inspection determination units, where k is an integer of 1 or more, that are equipped with k types of artificial intelligence and that are configured to inspect and determine presence or absence of a welding defect of the welding bead based on processings of the k types of artificial intelligence targeting input data on which the preprocessing is performed.

Abstract: A detection device (10) according to the present disclosure includes an acquisition unit (11) that acquires point cloud data indicating a distance from a measurement device to an object and luminance information obtained from reflected light of a beam emitted when the point cloud data is measured, an edge detection unit (12) that performs edge detection based on the luminance information, and a crack determination unit (13) that determines whether an area indicates a crack by using a shape of the area in which, of a plurality of points indicated by the point cloud data, points having luminance within a predetermined range of difference from luminance of a point detected as an edge are distributed.

Abstract: An instrument panel includes a frame defining an opening, a plurality of cards, and an HMI. The cards have a front face, a rear face, one or more circuits, and a data interface on the rear face in communication with the circuits. The cards include one or more first cards and one or more second cards. The first cards front face have a vertical dimension approximately equal to a vertical dimension of the opening. The second cards have a body, a nose projecting from the body defining the second cards front face, and a recess between the nose and body. The HMI includes a front face received within the opening. The first cards are positioned with the front face visible within the opening. The second cards are positioned with the nose visible within the opening and a depth of the HMI received within the recess.

Abstract: A computing platform is configured to (1) extract a first source dataset from a first database containing data about a set of product-level ingredients, (2) extract a second source dataset from a second database containing data about food products, (3) merge the first and second source datasets into a first merged dataset, (4) update the first merged dataset by inserting a column representing a data variable that, for each product-level ingredient in the set, provides a respective dry mass measurement of the respective product-level ingredient within a corresponding food product in which the respective product-level ingredient is included, (5) extract a third source dataset from a third database containing environmental-impact values for ingredients, (6) merge the updated first merged dataset and the third source dataset into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level ingredient in the set using the second merged dataset.

Abstract: The present disclosure relates to antibody molecules comprising a binding domain specific to CD22, said binding domain comprising SEQ ID NO: 1, 2, 3, 4, 5 and 6 or 7. The disclosure also extends to pharmaceutical compositions comprising said antibody molecules and use of the antibody molecules/compositions in treatment.