Abstract: One aspect of a terminal according to the present disclosure includes a receiving section that receives a plurality of downlink control channels supporting application of different control resource set pool indices, and a control section that, when an offset between at least one of the plurality of downlink control channels and a physical shared channel scheduled by the plurality of downlink control channels is smaller than a given value, controls reception of the physical shared channel, based on a default TCI state configured for each of control resource set pool indices or the default TCI state configured irrespective of control resource set pool indices.

Abstract: The present disclosure relates to the field of medical instruments, disclosing an endoscope master-slave motion control method. The endoscope includes an operating arm, a main body disposed at an end of the operating arm, a first imaging unit, a second imaging unit, and an end instrument protruding from a distal end of the main body.

Abstract: The present disclosure relates to the field of medical instruments, disclosing an endoscope control method. The method comprises: controlling a motion of an endoscope, the endoscope comprising a main body, a first imaging unit, a second imaging unit and an end instrument protruding from a distal end of the main body; obtaining a first image from the first imaging unit; obtaining a second image from the second imaging unit, wherein the first and the second images have different fields of view and include images of the end instrument; based on the first and second images, generating a composite scene image to remove an actual image of the end instrument; and generating a virtual image of the end instrument in the composite scene image.

Abstract: A terminal according to one aspect of the present disclosure includes a receiving section that receives a medium access control-control element (MAC CE) indicating two active transmission configuration indicator (TCI) states for one control resource set, and a control section that, when an information element of a radio link monitoring (RLM) reference signal is not provided, uses a reference signal in at least one TCI state out of the two active TCI states for RLM. According to one aspect of the present disclosure, it is possible to appropriately perform at least one of RLM and BFD.

Abstract: A terminal according to an aspect of the present disclosure includes a control section that determines whether two physical downlink control channel (PDCCH) candidates out of a plurality of PDCCH candidates can be allocated, and a receiving section that receives the two PDCCH candidates, when it is determined that the two PDCCH candidates can be allocated. The two PDCCH candidates are present within a same slot or a same span. The two PDCCH candidates are associated with two search space sets. The two PDCCH candidates are linked to each other. When it is determined that the two PDCCH candidates cannot be allocated, the control section determines whether one or more PDCCH candidates out of the plurality of PDCCH candidates can be allocated. According to an aspect of the present disclosure, PDCCH candidates can be appropriately determined.

Abstract: A terminal according to one aspect of the present disclosure includes: a control section that determines a downlink control channel (Physical Downlink Control Channel (PDCCH)) to monitor from among PDCCHs in a plurality of control resource sets (CORESETs) overlapping in time, based on a CORESET having two transmission configuration indication states (TCI states) being activated; and a receiving section that monitors the determined PDCCH. According to one aspect of the present disclosure, it is possible to appropriately address collision of a plurality of downlink control channels.

Abstract: A radio communication node includes: a control unit that a first communication using a first radio link with a lower node and a second communication using a second radio link with a terminal, wherein the control unit: controls the first communication using a first radio resource based on a configuration of a radio resource used in the first radio link, when performing a simultaneous communication of the first communication and the second communication, and performs the first communication using a second radio resource at least including the first radio resource when a condition is satisfied not to perform the simultaneous communication of the first communication and the second communication.

Abstract: A device may determine end-of-phase information for a plurality of wavelength channels of photoplethysmography (PPG) data. The device may calculate a set of baseline correction points for each wavelength channel of the plurality of wavelength channels. The set of baseline correction points may be calculated based on end-of-phase information for a wavelength channel of the plurality of wavelength channels and PPG data associated with the wavelength channel. The device may perform a baseline correction for each wavelength channel of the plurality of wavelength channels. A baseline correction may be performed for the wavelength channel based on the set of baseline correction points associated with the wavelength channel and the PPG data associated with the wavelength channel. The device may generate a baseline corrected heartbeat profile using a principal component analysis of a result of baseline correcting each wavelength channel of the plurality of wavelength channels.

Abstract: A device may determine end-of-phase information for a plurality of wavelength channels of photoplethysmography (PPG) data. The device may calculate a set of baseline correction points for each wavelength channel of the plurality of wavelength channels. The set of baseline correction points may be calculated based on end-of-phase information for a wavelength channel of the plurality of wavelength channels and PPG data associated with the wavelength channel. The device may perform a baseline correction for each wavelength channel of the plurality of wavelength channels. A baseline correction may be performed for the wavelength channel based on the set of baseline correction points associated with the wavelength channel and the PPG data associated with the wavelength channel. The device may generate a baseline corrected heartbeat profile using a principal component analysis of a result of baseline correcting each wavelength channel of the plurality of wavelength channels.

Abstract: In some implementations, a device may receive spectroscopic data associated with a dynamic process. The device may generate a principal component analysis (PCA) model based on a first block of spectra from the spectroscopic data. The device may project a second block of spectra from the spectroscopic data to the PCA model generated based on the first block of spectra. The device may determine a value of a metric associated with the second block based on projecting the second block of spectra to the PCA model. The device may determine whether the dynamic process has reached an end point based on the value of the metric associated with the second block.

Abstract: In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.

Abstract: In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.

Abstract: A device may determine end-of-phase information for a plurality of wavelength channels of photoplethysmography (PPG) data. The device may calculate a set of baseline correction points for each wavelength channel of the plurality of wavelength channels. The set of baseline correction points may be calculated based on end-of-phase information for a wavelength channel of the plurality of wavelength channels and PPG data associated with the wavelength channel. The device may perform a baseline correction for each wavelength channel of the plurality of wavelength channels. A baseline correction may be performed for the wavelength channel based on the set of baseline correction points associated with the wavelength channel and the PPG data associated with the wavelength channel. The device may generate a baseline corrected heartbeat profile using a principal component analysis of a result of baseline correcting each wavelength channel of the plurality of wavelength channels.

Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

Abstract: A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

Abstract: In some implementations, a device may determine that an unknown sample is an outlier sample by using an aggregated classification model. The device may determine that one or more spectroscopic measurements are not performed accurately based on determining that the unknown sample is the outlier sample. The device may cause one or more actions based on determining the one or more spectroscopic measurements are not performed accurately.

Abstract: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.

Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

Abstract: In some implementations, a device may receive spectroscopic data associated with a dynamic process. The device may generate a principal component analysis (PCA) model based on a first block of spectra from the spectroscopic data. The device may project a second block of spectra from the spectroscopic data to the PCA model generated based on the first block of spectra. The device may determine a value of a metric associated with the second block based on projecting the second block of spectra to the PCA model. The device may determine whether the dynamic process has reached an end point based on the value of the metric associated with the second block.

Abstract: In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.