Abstract: Various embodiments include a method for producing a structure with a cold gas spraying method comprising: providing a carrier with a carrier surface, to which the structure is to be attached by the cold gas spraying method by following a travel path; and providing an element with an element surface different from the carrier surface. The element is arranged in the travel path and/or the travel path is specified such that intersections of the travel path and/or interruptions of the structure are arranged on the element surface.

Abstract: A decision network for moral decision-making includes a trained group artificial neural network (ANN), a trained individual ANN, and a fusion block. The trained group ANN is configured to receive a selected input vector and to produce an estimated en group output based, at least in part, on the selected input vector. The trained group ANN is trained based, at least in part, on group training data including a plurality of group input vectors and corresponding training group outputs. Each group input vector includes a plurality of scenario parameters. The trained individual ANN is configured to receive the selected input vector and to produce an estimated individual output based, at least in part, on the selected input vector. The trained individual ANN is trained after the trained group ANN is trained.

Abstract: Fisher discriminant analysis is performed on data sets of typically developing (TD) individuals and data sets of autism spectrum disorder (ASD) individuals to produce a model that classifies TD individuals from ASD individuals. The ASD data sets include pre-treatment folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathway metabolic profile data and post-treatment folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathway metabolic profile data for patients receiving one or more ASD treatments. Changes in adaptive behavior are predicted by utilizing regression of changes in adaptive behavior and changes in biochemical measurements observed in the data sets. Thus, the system can be used to predict the effectiveness of a given course of treatment for an ASD patient based on measured metabolite data of that patient, or to predict the overall effectiveness of a clinical trial based on metabolite data for the trial participants.

Abstract: Fisher discriminant analysis is performed on data sets of typically developing (TD) individuals and data sets of autism spectrum disorder (ASD) individuals to produce a model that classifies TD individuals from ASD individuals. The ASD data sets include pre-treatment folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathway metabolic profile data and post-treatment folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathway metabolic profile data for patients receiving one or more ASD treatments. Changes in adaptive behavior are predicted by utilizing regression of changes in adaptive behavior and changes in biochemical measurements observed in the data sets. Thus, the system can be used to predict the effectiveness of a given course of treatment for an ASD patient based on measured metabolite data of that patient, or to predict the overall effectiveness of a clinical trial based on metabolite data for the trial participants.

Abstract: Computed tomography (CT) screening, diagnosis, or another image analysis tasks are performed using one or more networks and/or algorithms to either integrate complementary tomographic image reconstructions and radiomics or map tomographic raw data directly to diagnostic findings in the machine learning framework. One or more reconstruction networks are trained to reconstruct tomographic images from a training set of CT projection data. One or more radiomics networks are trained to extract features from the tomographic images and associated training diagnostic data. The networks/algorithms are integrated into an end-to-end network and trained. A set of tomographic data, e.g., CT projection data, and other relevant information from an individual is input to the end-to-end network, and a potential diagnosis for the individual based on the features extracted by the end-to-end network is produced.

Abstract: Computed tomography (CT) screening, diagnosis, or another image analysis tasks are performed using one or more networks and/or algorithms to either integrate complementary tomographic image reconstructions and radiomics or map tomographic raw data directly to diagnostic findings in the machine learning framework. One or more reconstruction networks are trained to reconstruct tomographic images from a training set of CT projection data. One or more radiomics networks are trained to extract features from the tomographic images and associated training diagnostic data. The networks/algorithms are integrated into an end-to-end network and trained. A set of tomographic data, e.g., CT projection data, and other relevant information from an individual is input to the end-to-end network, and a potential diagnosis for the individual based on the features extracted by the end-to-end network is produced.

Abstract: Methods and systems for detecting an autism state are disclosed. A plurality of data arrays are received, each including a plurality of values. Each of the plurality of values represent a concentration of a different metabolite. A score for each of the plurality of data arrays is calculated based on a relationship between the plurality of values of each of the respective plurality of data arrays. The score for each of the plurality of data arrays is classified into an autism class and a neurotypical class. A test score for a test data array is calculated based on a relationship between the plurality of test values and can then be grouped into one of the autism class and the neurotypical class. The system thus can use biomarkers identified in a metabolic pathway, such as abnormalities in folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS), to identify patients with a high likelihood of having autism.

Abstract: An arrangement (102, 100) for monitoring the operation of a transmitter antenna system (112). The transmitter antenna system is adapted for the emission of one or more information signals (M1.1 , M2.1 , M3.1 , M4.1). The arrangement for monitoring is provided with a retrieval arrangement (102) for retrieving a first detection signal which is a measure for the reflection signal in the transmitter antenna system. According to the invention, the arrangement for monitoring is further provided with a detection arrangement (100) which is adapted to establish whether, in the frequency characteristic of the first detection signal, frequency components that are different from the one or more information signals (M1.1 , M2.1 , M3.1 , M4.1) are present in the first detection signal and to generate a second detection signal if this is the case. This way, the occurrence of an arc in a transmitter antenna system can be reliably established.

Abstract: An arrangement (102, 100) for monitoring the operation of a transmitter antenna system (112). The transmitter antenna system is adapted for the emission of one or more information signals (M1.1, M2.1, M3.1, M4.1). The arrangement for monitoring is provided with a retrieval arrangement (102) for retrieving a first detection signal which is a measure for the reflection signal in the transmitter antenna system. According to the invention, the arrangement for monitoring is further provided with a detection arrangement (100) which is adapted to establish whether, in the frequency characteristic of the first detection signal, frequency components that are different from the one or more information signals (M1.1, M2.1, M3.1, M4.1) are present in the first detection signal and to generate a second detection signal if this is the case. This way, the occurrence of an arc in a transmitter antenna system can be reliably established.

Abstract: The invention relates to a device and a method for separating notes of value of a value note stack. The device comprises at least one input tray having an opening for the insertion of the value note stack and at least one closing element for closing and opening the opening of the input tray. Further, the device has at least one pressure element for pressing the notes of value inserted into the input tray against a pull-off element. The closing element and the pressure element are connected to each other.

Abstract: The invention relates to a device and a method for separating notes of value of a value note stack. The device comprises at least one input tray having an opening for the insertion of the value note stack and at least one closing element for closing and opening the opening of the input tray. Further, the device has at least one pressure element for pressing the notes of value inserted into the input tray against a pull-off element. The closing element and the pressure element are connected to each other.

Abstract: A housing can be secured to a motor vehicle and has a first housing portion (4) and a second housing portion (2) which can be connected thereto. To integrate a pedestrian protection function and to provide a defined relative movement of the housing portions in relation to each other, it is proposed to provide on the first housing portion an elongate support element (10), which is connected with a proximal end to the first housing portion and has a distally disposed effective end having an effective cross-section (6), and the second housing portion (2) includes an elastic fixing element with a through opening, the inside diameter of which is smaller than the effective cross-section.

Abstract: With respect to the object of providing a filter element with a sufficiently high filtration capacity and easy deformability, a filter element, comprising a first component (1), a second component (2) and a pleated filter medium (3) interposed between the components (1, 2), the components (1, 2) being disposed at a distance due to the filter medium (3), is characterized in that the filter element (3) is made of a non-woven fabric and pleated such that a distance between the components (1, 2) can be reversibly reduced, at least in some regions, when a force is applied.

Abstract: A heat exchanger, in particular an exhaust gas heat exchanger for a motor vehicle, has tubes through which a first fluid can flow and around which a second fluid can flow, and a headpiece. The headpiece includes a dual-walls structure in at least a part thereof and a distribution chamber that communicates with the tubes.

Abstract: The invention essentially consists of a software component of a server application getting in contact with a software component of a mobile terminal during at least one connection, whereby generating a virtual assistant on the mobile terminal, and this virtual assistant controls interactions between the server application and the mobile terminal. The software components are consequently the extended hand of the manufacturer or provider, which optionally initiates the interactions and assumes the control over the time and sequence of interactions. Typical applications are notifications via telephone or network news, the user control for server applications and when monitoring payment processes.

Abstract: An extended partial least squares (EPLS) approach for the condition monitoring of industrial processes is described. This EPLS approach provides two statistical monitoring charts to detect abnormal process behaviour as well as contribution charts to diagnose this behaviour. A theoretical analysis of the EPLS monitoring charts is provided, together with two application studies to show that the EPLS approach is either more sensitive or provides easier interpretation than conventional PLS.

Abstract: A heat exchanger, in particular an exhaust gas heat exchanger for a motor vehicle, has tubes through which a first fluid can flow and around which a second fluid can flow, and a headpiece. The headpiece includes a dual-walls structure in at least a part thereof and a distribution chamber that communicates with the tubes.

Abstract: An extended partial least squares (EPLS) approach for the condition monitoring of industrial processes is described. This EPLS approach provides two statistical monitoring charts to detect abnormal process behaviour as well as contribution charts to diagnose this behaviour. A theoretical analysis of the FPLS monitoring charts is provided, together with two application studies to show that the EPLS approach is either more sensitive or provides easier interpretalion than conventional PLS.

Abstract: A method is provided for determining and processing items of information that are relevant for setting up a telephone connection in a CTI (Computer Telephony Integration) system, as well as corresponding CTI system. A user of the CTI system can at will mark character strings shown on a display screen (11) of the computer (4) of the CTI system, which strings can in particular be independent of the programs respectively running on the computer (4).

Abstract: The invention relates to a process for avoiding radiation injury in diagnostic radiology by measuring the change in concentration of endogenous substances in bodily fluids. In addition, the invention comprises a device for implementing this process.