Abstract: A Digital Twin clinical trial simulator identifies an intervention parameter in a treatment recommendation. The treatment recommendation comprises instructions for adjusting the intervention parameter to cause a target improvement. The Digital Twin clinical trial simulator generates a cohort of patients sensitive to the intervention. The Digital Twin clinical trial simulator separates the cohort of patients into a control cohort comprising a first subset of patients and a test cohort comprising a second subset of patients. The Digital Twin clinical trial simulator determines an effect of the treatment recommendation on the cohort of patients by inputting the instructions of the treatment recommendation to a patient-specific metabolic model for each patient of the test cohort and comparing the effect predicted by the patient-specific metabolic of each patient in the test cohort to representations of metabolic states of patients in the control cohort.

Abstract: A Digital Twin clinical trial simulator generates a plurality of candidate treatments for causing a target improvement in metabolic health. Each candidate treatment comprises one or more intervention parameters and instructions for adjusting the one or more intervention parameters of the one or more intervention parameters to cause the target improvement. For each candidate treatment, the Digital Twin clinical trial simulator identifies a cohort of patients sensitive to adjustments to the one or more intervention parameters. The Digital Twin clinical trial simulator inputs the candidate treatment to patient-specific metabolic models, which predict the effectiveness of the candidate treatment for each patient of the cohort. The Digital Twin clinical trial simulator identifies a shortlist of effective treatments based on the predictions of the patient-specific metabolic models and generates instructions for performing physical experiments to validate the effectiveness of each shortlisted candidate treatment.

Abstract: A Digital Twin clinical trial simulator determines one or more trial parameters for a physical experiment to validate a candidate treatment recommendation. For each of one or more variations of the physical experiment, the Digital Twin clinical trial simulator determines an effectiveness of the variation in validating the candidate treatment recommendation. The effectiveness describes a likelihood that the physical experiment will provide insight regarding the effect of the candidate treatment recommendation on a metabolic state. For a variation that satisfies a threshold effectiveness, the Digital Twin clinical trial simulator determines one or more metabolic features shared among a cohort of patients sensitive to the candidate treatment recommendation.

Abstract: The present disclosure relates to antiviral, antibacterial, virucidal and/or bactericidal space-charge electret materials and compositions comprising space-charge electret materials; methods of making and using the materials, methods of making and using the compositions, methods of evaluating the efficacy of the compositions, methods of measuring and testing the compositions, and methods of developing, creating and making new space-charge electret compositions.

Abstract: A computer-implemented method may include: receiving, from a first electronic device during an unauthenticated session, a request for provisioning data, the request associated with identification data insufficient to begin an authenticated session; determining, based on the identification data, whether the request for the provisioning data is associated with an existing account; when the request for the provisioning data is determined to be associated with an existing account, obtaining the provisioning data based on a modifier not available if the request for the provisioning data is not determined to be associated with an existing account; and sending the provisioning data to the first electronic device.

Abstract: The present invention provides a method for quantitatively identifying the defects of large-size composite material based on infrared image sequence, firstly obtaining the overlap area of an infrared splicing image, and dividing the infrared splicing image into three parts according to overlap area: overlap area, reference image area and registration image area, then extracting the defect areas from the infrared splicing image to obtain P defect areas, then obtaining the conversion coordinates of pixels of defect areas according to the three parts of the infrared splicing image, and further obtaining the transient thermal response curves of centroid coordinate and edge point coordinates, finding out the thermal diffusion points from the edge points of defect areas according to a created weight sequence and dynamic distance threshold ?ttr×dp_max, finally, based on the thermal diffusion points, the accurate identification of quantitative size of defects are completed.

Abstract: A semiconductor structure is provided. The semiconductor structure includes a substrate, a first piezoelectric layer, and a first dummy layer. The first piezoelectric layer is over the substrate, and the first piezoelectric layer has a first top surface. The first dummy layer is over the first piezoelectric layer, and the first dummy layer has a second top surface. And an average roughness of the first top surface is greater than an average roughness of the second top surface. A method for manufacturing the semiconductor structure is also provided.

Abstract: A MEMS device and a method of manufacturing the same are provided. A semiconductor device includes a substrate; and a membrane over the substrate and configured to generate charges in response to an acoustic wave, the membrane being in a polygonal shape including vertices. The membrane includes a via pattern having first lines that partition the membrane into slices and extend to the vertices of the membrane such that the slices are separated from each other near an anchored region of the membrane and connected to each other around a central region. The via pattern further includes second lines extending from the anchored region of the membrane toward the central region of the membrane. Each of the second lines includes a length less than a length of each of the first lines.

Abstract: Various embodiments of the present disclosure are directed towards an electronic device that comprises a semiconductor substrate having a first surface opposite a second surface. The semiconductor substrate at least partially defines a cavity. A first microelectromechanical systems (MEMS) device is disposed along the first surface of the semiconductor substrate. The first MEMS device comprises a first backplate and a diaphragm vertically separated from the first backplate. A second MEMS device is disposed along the first surface of the semiconductor substrate. The second MEMS device comprises spring structures and a moveable element. The spring structures are configured to suspend the moveable element in the cavity. A segment of the semiconductor substrate continuously laterally extends from under a sidewall of the first MEMS device to under a sidewall of the second MEMS device.

Abstract: A MEMS device and a method of manufacturing the same are provided. A semiconductor device includes a substrate and a membrane over the substrate. The membrane includes a piezoelectric material configured to generate charges in response to an acoustic wave. The membrane includes a via pattern having first lines that partition the membrane into slices such that the slices are separated from each other at a first region near an edge of the membrane and connected to each other at a second region.

Abstract: Structures and formation methods of a semiconductor device structure are provided. The semiconductor device structure includes a substrate and a first dielectric layer formed over the substrate. The semiconductor device structure also includes a first movable membrane formed over the first dielectric layer. In addition, the first movable membrane has a first corrugated portion and a first edge portion connecting to the first corrugated portion. The semiconductor device structure further includes a second dielectric layer formed over the first movable membrane. In addition, the first edge portion is sandwiched between the first dielectric layer and the second dielectric layer, the first corrugated portion is partially sandwiched between the first dielectric layer and the second dielectric layer and is partially exposed by a cavity, and a bottom surface of the first corrugated portion is lower than a bottom surface of the first edge portion.

Abstract: A method for high-precision true color three dimensional reconstruction of mechanical component. Firstly performs image acquisition: the left and right high-resolution grayscale cameras are fixed at same height and spaced at certain distance, an optical transmitter fixed between the two grayscale cameras, and low-resolution color camera fixed above optical transmitter, thus images of measured high-precision mechanical component are shot. Then performs image processing: all images are transmitted to a computer, which uses image processing to record surface information of measured high-precision mechanical component in the point cloud by high-precision true color three-dimensional reconstruction, which reflects color texture information of the surface, so as to realize the non-contact high-precision true color three dimensional reconstruction of high-precision mechanical component.

Abstract: A patient health management platform determines of a metabolic state for a first time period. The platform generates a patient-specific treatment recommendation for a second time period following the first time period that identifies objectives for the patient to complete to improve the metabolic state determined for the first time period. Periodically during the second time period, the platform receives recordings of patient data indicating foods consumed by the patient, medication taken by the patient, and/or symptoms experienced by the patient. The platform compares the received recordings of patient data from the second time period to the generated patient-specific treatment recommendation to determine a number of objectives completed by the patient and updates a score representing n adherence of the patient to the patient-specific treatment recommendation based the number of completed objectives.

Abstract: A method of producing an aptamer selectively binding a non-canonical structure of a target nucleic acid molecule includes the steps of: incubating a plurality of nucleic acid sequences with an enantiomer of the non-canonical structure under suitable conditions to obtain one or more candidate nucleic acid sequences binding to the enantiomer of the non-canonical structure, purifying and amplifying the one or more candidate nucleic acid sequences; repeating said incubating, purifying and amplifying steps for a predetermined number of cycles under different conditions; and producing an enantiomer for selected amplified candidate nucleic acid sequence to obtain the aptamer capable of selectively binding the non-canonical structure of the target nucleic acid molecule. An aptamer selectively binding to a non-canonical structure of a nucleic acid molecule or its enantiomer, the aptamer comprising a sequence of SEQ ID NO: 11; as well as uses of the aptamer or its enantiomer.

Abstract: A hydraulic forming machine, including a body provided with a feed inlet penetrating a first mounting surface, a cutting mechanism, a forming die, an ejector arranged on the forming die, and a driving mechanism. The forming die includes a movable die and a fixed die matched with each other. The cutting mechanism and the fixed die are provided on the first mounting surface of the body and respectively at two sides of the discharge end of the feed inlet. The movable die is arranged on the driving mechanism and driven by the driving mechanism to move close to or away from the fixed die in a direction perpendicular to the first mounting surface. The cutting mechanism is configured to cut a blank at an output end of the conveying inlet. The blank cut by the cutting mechanism is extruded between the fixed die and the movable die.

Abstract: Structures and formation methods of a semiconductor device structure are provided. The method includes forming a first dielectric layer over a substrate and forming a first recess in the first dielectric layer. The method also includes conformally forming a first movable membrane over the first dielectric layer. In addition, the first movable membrane has a first corrugated portion in the first recess. The method further includes forming a second dielectric layer over the first movable membrane and partially removing the substrate, the first dielectric layer, and the second dielectric layer to form a cavity. In addition, the first corrugated portion of the first movable membrane is partially sandwiched between the first dielectric layer and the second dielectric layer.

Abstract: Embodiments of the present invention provide a system and a method for posture estimation, comprising: capturing a video sequence by a mobile terminal, the video sequence including a plurality of frames; extracting a plurality of convolutional features of a subject in the video sequence; estimating pose of a subject from the video sequence; constructing a model of the plurality of features from the estimated pose; estimating the posture of the subject from the plurality of features. The system also determines a key posture sequence from unconstrained video, where a mobile terminal captures a video sequence; a tracker estimates a reference subject; a posture estimator estimates a posture of the subject from plurality of features; a posture analytic unit assesses the estimated posture; a posture reconstructing unit reconstructs the posture into three dimensional space; an evaluating unit determines the estimated posture that should be added to key posture sequence.

Abstract: A patient health management platform implements a machine-learned metabolic model to generate a prediction of a patient's blood pressure. The platform implements a short-term prediction model to generate a daily prediction of the patient's blood pressure based on nutrition data reported by the patient and sensor data and lab test data collected for the patient. The platform implements a long-term prediction model generate a prediction of the patient's blood pressure during an extended time period based on sensor data and lab test data collected for the patient. Using the short-term prediction model, the long-term prediction model, or both, the patient health management platform generates predictions of the patient's diastolic and systolic blood pressure and updates a digital twin of the patient's metabolic profile.

Abstract: A patient health management platform implements a machine-learned metabolic model to generate a prediction of a patient's glucose level. The platform implements a short-term prediction model to generate a daily prediction of the patient's glucose level based on nutrition data reported by the patient and sensor data and lab test data collected for the patient. The platform implements a long-term prediction model generate a prediction of the patient's glucose level during an extended time period based on sensor data and lab test data collected for the patient. Using the short-term prediction model, the long-term prediction model, or both, the patient health management platform generates predictions of the patient's glucose level and updates a digital twin of the patient's metabolic profile.

Abstract: The present invention provides a particle-coated fiber comprising a fiber and particles coated on the fiber, and a method for forming the same. The method comprises: providing a suspension comprising the particles; providing a polymer solution for forming the fiber; electrospraying the suspension toward an area of a collector; and during the electrospraying of the suspension, electrospinning the polymer solution into the fiber and directing the fiber toward the area so as to meet with the suspension on the area and on the way to the area such that the particles are coated on the fiber during and after the formation of the fiber thereby forming the particle-coated fiber on the area. By the present method, the particles can be crowed on the surface of the fiber, and the adhesiveness between the fiber and the particles can be substantially enhanced.