Abstract: A method for seismic processing includes receiving measured seismic data collected by recording seismic waves that propagate through a subterranean domain, simulating synthetic seismic data using a model of the subterranean domain, generating a first time-space panel including the measured seismic data and a second time-space panel including the synthetic seismic data, applying a first moving window to the first time-space panel and a second moving window to the second time-space panel, determining a misfit by comparing the measured seismic data in the first moving window with the synthetic seismic data in the second moving window, and adjusting the model based on the misfit.

Abstract: A portable monitoring apparatus, a monitoring device, and a monitoring system are disclosed. The portable monitoring apparatus includes a first type of sensor configured to acquire a physiological parameter value, which includes at least one of an electrocardiogram (ECG) parameter value, a respiratory parameter value, a blood oxygen parameter value, a blood pressure parameter value, and a body temperature parameter value; a second type of sensor configured to acquire a non-physiological parameter value, which includes at least one of a sleep parameter value, a motion parameter value, and a pain parameter value; and a processor configured to take the acquired physiological parameter value and non-physiological parameter value as patient status recovery parameter values and control to output the patient status recovery parameter values.

Abstract: Disclosed herein are implementations of various technologies for a method for seismic data processing. The method may receive seismic data for a region of interest. The seismic data may be acquired in a seismic survey. The method may determine an exclusion criterion. The exclusion criterion may provide rules for selecting shot points in the acquired seismic data. The method may determine sparse seismic data using statistical sampling based on the exclusion criterion and the acquired seismic data. The method may determine simulated seismic data based on the earth model and shot points corresponding to the sparse seismic data. The method may determine an objective function that represents a mismatch between the sparse seismic data and the simulated seismic data. The method may update the earth model using the objective function.

Abstract: Described herein are implementations of various technologies for a method for seismic data processing. The method may receive seismic data for a region of interest. The seismic data may be acquired in a seismic survey. The method may determine sparse seismic data by selecting shot points in the acquired seismic data using statistical sampling. The method may determine simulated seismic data based on an earth model for the region of interest, a reflection model for the region of interest, and the selected shot points. The method may determine an objective function that represents a mismatch between the sparse seismic data and the simulated seismic data. The method may update the reflection model using the objective function.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body; and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: A method can include receiving seismic data of a geologic environment; receiving a background model that is a part of a partitioned model of the geologic environment; predicting reflections using the background model; determining incoherence of an offset-dependent matching filter based at least in part on the reflections and the seismic data; based at least in part on the incoherence, adjusting the background model to generate an adjusted background model; and outputting the adjusted background model.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: Computing systems, computer-readable media, and methods for seismic processing. The method includes receiving seismic data including acquired seismic waveforms that were acquired from a seismic receiver and represent a subterranean area, generating synthetic waveforms based on an initial model of the subterranean area, determining a model error by minimizing a local travel time shift error between one or more of the acquired seismic waveforms and one or more of the synthetic waveforms, and adjusting the initial model based on the model error to generate an adjusted model.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: A method can include receiving seismic data of a geologic environment; receiving a background model that is a part of a partitioned model of the geologic environment; predicting reflections using the background model; determining incoherence of an offset-dependent matching filter based at least in part on the reflections and the seismic data; based at least in part on the incoherence, adjusting the background model to generate an adjusted background model; and outputting the adjusted background model.

Abstract: A method includes the steps of receiving a wavefield generated by reflections in a subsurface region and recorded by a plurality of seismic receivers and compensating the recorded wavefield for amplitude attenuation. The method further includes modelling a propagation of a source wavefield forward in time, from an initial time-state to a final time-state through an earth model that is representative of the subsurface region, wherein the modelling includes phase and amplitude effects of attenuation and modelling a propagation of the compensated recorded wavefield backward in time from a final time-state to an earlier time-state through the earth model, wherein the subsurface region has an absorption characteristic that dampens the recorded wavefield wherein the modelling includes phase and amplitude effects of attenuation.

Abstract: Computing systems, computer-readable media, and methods for seismic processing. The method includes receiving seismic data including acquired seismic waveforms that were acquired from a seismic receiver and represent a subterranean area, generating synthetic waveforms based on an initial model of the subterranean area, determining a model error by minimizing a local travel time shift error between one or more of the acquired seismic waveforms and one or more of the synthetic waveforms, and adjusting the initial model based on the model error to generate an adjusted model.

Abstract: A method includes the steps of receiving a wavefield generated by reflections in a subsurface region and recorded by a plurality of seismic receivers and compensating the recorded wavefield for amplitude attenuation. The method further includes modelling a propagation of a source wavefield forward in time, from an initial time-state to a final time-state through an earth model that is representative of the subsurface region, wherein the modelling includes phase and amplitude effects of attenuation and modelling a propagation of the compensated recorded wavefield backward in time from a final time-state to an earlier time-state through the earth model, wherein the subsurface region has an absorption characteristic that dampens the recorded wavefield wherein the modelling includes phase and amplitude effects of attenuation.

Abstract: Described herein are implementations of various technologies for a method for seismic data processing. The method may receive seismic data for a region of interest. The seismic data may be acquired in a seismic survey. The method may determine sparse seismic data by selecting shot points in the acquired seismic data using statistical sampling. The method may determine simulated seismic data based on an earth model for the region of interest, a reflection model for the region of interest, and the selected shot points. The method may determine an objective function that represents a mismatch between the sparse seismic data and the simulated seismic data. The method may update the reflection model using the objective function.

Abstract: Input survey data containing ghost data is processed, the ghost data containing data caused by a reflection from an interface, and the processing including performing full wave propagation. An output is produced in response to the processing.

Abstract: Disclosed herein are implementations of various technologies for a method for seismic data processing. The method may receive seismic data for a region of interest. The seismic data may be acquired in a seismic survey. The method may determine an exclusion criterion. The exclusion criterion may provide rules for selecting shot points in the acquired seismic data. The method may determine sparse seismic data using statistical sampling based on the exclusion criterion and the acquired seismic data. The method may determine simulated seismic data based on the earth model and shot points corresponding to the sparse seismic data. The method may determine an objective function that represents a mismatch between the sparse seismic data and the simulated seismic data. The method may update the earth model using the objective function.

Abstract: The present invention provides a complex oxide catalyst whose general formula is Mo12VaCubWcXdYeOf/Z. reducing agent needs to be added into the catalyst during the preparation process of the active component of the catalyst and (or) molding process of the catalyst. Specifically, X is at least one selected from a group consisting of Nb, Sb, Sr, Ba and Te; Y is at least one selected from a group consisting of La, Ce, Nd, Sm and Cs; “a” is ranging from 2 to 8; “b” is ranging from 1 to 6; “c” is ranging from 0.5 to 5; “d” is ranging from 0.01 to 4; “e” is ranging from 0.01 to 4; f is determined by the oxidation state of the component element; Z is silicon powder; the reducing agent is C2˜C6 diol or polyol.

Abstract: A method of preparing a catalyst for producing acrolein by oxidation of propylene at high space velocity, said catalyst is a Mo—Bi—Fe—Co based composite metal oxide. Producing unsaturated aldehyde via partial oxidation of lower unsaturated olefin at high space velocity using said catalyst is suitable for process with or without off-gas recirculating. Said catalyst is prepared by co-precipitation, the reaction conditions for using said catalyst to produce unsaturated aldehyde are, the space velocity of unsaturated lower olefin relative to catalyst being 120˜200 h-1(STP), reaction temperature being 300˜420° C. and absolute pressure being 0.1˜0.5 MPa; a single-stage unsaturated lower olefin conversion ratio of greater than 98.0% and carbon oxide yield of less than 3.3% with an overall yield of unsaturated lower aldehyde and acid of greater than 94.0% are obtained. The process to prepare the said catalyst is simple, easy to be repeated, and capable of industrial scale-up.

Abstract: A method of preparing a catalyst for producing acrolein by oxidation of propylene at high space velocity, said catalyst is a Mo—Bi—Fe—Co based composite metal oxide. Producing unsaturated aldehyde via partial oxidation of lower unsaturated olefin at high space velocity using said catalyst is suitable for process with or without off-gas recirculating. Said catalyst is prepared by co-precipitation, the reaction conditions for using said catalyst to produce unsaturated aldehyde are, the space velocity of unsaturated lower olefin relative to catalyst being 120˜200 h-1(STP), reaction temperature being 300˜420° C. and absolute pressure being 0.1˜0.5 MPa; a single-stage unsaturated lower olefin conversion ratio of greater than 98.0% and carbon oxide yield of less than 3.3% with an overall yield of unsaturated lower aldehyde and acid of greater than 94.0% are obtained. The process to prepare the said catalyst is simple, easy to be repeated, and capable of industrial scale-up.