Abstract: The invention discloses a method for acoustic indoor positioning based on CDMA, which comprises: generating a BPSK signal; The BPSK signal was detected, the collected signal was de-carrierized and low-pass filtered, and then the data was down-sampled to the design code rate, and then the coarse position of the identification code was determined by the prefix code. Finally, the data with the same length as the identification code was intercepted from the data for matching filtering through the coarse position. Four base stations were designed in each area to obtain three TDOA observations generated by four TOA information, and the terminal position could be obtained through the three TDOA observations. Different areas are distinguished by different identification codes to achieve wide area coverage. The invention provides an effective means for accurate positioning in an indoor environment.

Abstract: An alarm threshold setting suggestion method, a system and a monitor are provided in the disclosure. The method includes: obtaining monitoring data of a patient, determining whether the current alarm threshold associated with a monitoring parameter needs to be adjusted or not according to the monitoring data, and if yes, generating threshold setting suggestion information according to the monitoring data and the current alarm threshold associated with the monitoring parameter; and outputting the threshold setting suggestion information. In this way, not only is the user prompted to adjust the alarm threshold, but also the threshold setting suggestion information is provided for user reference, which are beneficial to relieving the problem of alarm fatigue.

Abstract: A method and system for detecting a presence of comorbid ocular conditions. Input data that includes imaging data for an eye of a subject is received. A score that indicates whether a presence of a plurality of comorbid ocular conditions is detected is generated in the eye of the subject using a deep learning model and the input data. A comorbidity output is generated based on the score. The comorbidity score may be a classification indicating whether the presence of the plurality of comorbid ocular conditions is detected.

Abstract: A method and system for predicting a selected treatment regimen for a subject. Baseline data for a subject diagnosed with neovascular age-related macular degeneration (nAMD) is received. A plurality of predictor inputs is formed for an outcome predictor using the baseline data and regimen data for a plurality of treatment regimens. The plurality of predictor inputs comprises a different predictor input for each of the plurality of treatment regimens. A plurality of treatment scores is generated for the plurality of treatment regimens via the set of outcome predictor using the plurality of predictor inputs. One of the plurality of treatment regimens is selected as a selected treatment regimen for the subject based on the plurality of treatment scores.

Abstract: A method and system for predicting a treatment outcome. Three-dimensional imaging data for a retina of a subject is received. A first output is generated using a deep learning system and the three-dimensional imaging data. The first output and baseline data are received as input for a symbolic model. A treatment outcome is predicted, via the symbolic model, for the subject undergoing a treatment for neovascular age-related macular degeneration (nAMD) using the input.

Abstract: A method and system for managing a treatment for a subject diagnosed with neovascular age-related macular degeneration (nAMD). Spectral domain optical coherence tomography (SD-OCT) imaging data of a retina of the subject is received. Retinal feature data is extracted for a plurality of retinal features using the SD-OCT imaging data, the plurality of retinal features being associated with at least one of a set of retinal fluids or a set of retinal layers. Input data formed using the retinal feature data for the plurality of retinal features is sent into a first machine learning model. A treatment level for an anti-vascular endothelial growth factor (anti-VEGF) treatment to be administered to the subject is predicted, via the first machine learning model, based on the input data.

Abstract: Embodiments of the present disclosure provide a method for forming a hole structure in a semiconductor device. The method for forming a hole structure having a first hole portion and a second hole portion connected to and over the first portion in a stack structure of a semiconductor device includes determining a hard mask layer. An etching resistivity of the hard mask layer may be inversely proportional to a difference between a first lateral dimension of the first hole portion and a second lateral dimension of the second hole portion, and the first lateral dimension may be less than the second lateral dimension. The method may also include forming the hard mask layer over the stack structure, and patterning the hard mask layer to form a first patterned hard mask layer that has a first mask opening. The first mask opening may have the first lateral dimension.

Abstract: The present invention discloses an item locating and finding method, system and device based on acoustic signal, which relates to the field of item location, and aims at solving the problems in the prior art that a specific directional angle of the item cannot be detected and the technical solutions in the prior art are not suitable for common intelligent terminals and are greatly affected by the environmental noise; performing unilateral and bidirectional ranging based on the acoustic signal; and performing location by using acoustic ranging and PDR.

Abstract: The present invention discloses an item locating and finding method, system and device based on acoustic signal, which relates to the field of item location, and aims at solving the problems in the prior art that a specific directional angle of the item cannot be detected and the technical solutions in the prior art are not suitable for common intelligent terminals and are greatly affected by the environmental noise; performing unilateral and bidirectional ranging based on the acoustic signal; and performing location by using acoustic ranging and PDR.

Abstract: A halogen-free flame-retardant polyamide (PA) composite includes the following components in parts by weight: 20 to 50 parts of an aliphatic PA, 10 to 30 parts of an aromatic PA, 20 to 30 parts of a halogen-free flame retardant, 10 to 50 parts of a glass fiber, 1 to 5 parts of a char-forming agent, and 0 to 5 parts of an additive, where the aromatic PA is at least one selected from the group consisting of PA66/6T, PA MXD6, and PA6T/6I and the char-forming agent is at least one selected from the group consisting of dipentaerythritol (DPE) and tripentaerythritol (TPE). In the halogen-free flame-retardant PA composite, the aromatic PA itself has high-temperature resistance and aging resistance and exhibits a synergistic effect with a dense carbon layer formed by the char-forming agent during aging. The present disclosure discloses a preparation method of the halogen-free flame-retardant PA composite.

Abstract: Embodiments of the present disclosure provide a method for forming a hole structure in a semiconductor device. The method includes forming a first etch mask over a stack structure, and removing a portion of the stack structure exposed by the first etch mask. The first etch mask may have a first mask opening with a first lateral dimension. The method may also include forming a second etch mask from the first etch mask. The second etch mask may have a second mask opening with a second lateral dimension that is greater than the first lateral dimension. The method may further include removing another portion of the stack structure exposed by the second etch mask to form the hole structure having a first hole portion and a second hole portion connected to and over the first hole portion.

Abstract: Systems and methods relate to processing digital pathology mages. More specifically, depictions of objects of a first class (e.g., lymphocytes) and depictions of objects of a second class (e.g., tumor cells) are detected. Locations of each biological object depiction are identified, which are used to generate multiple spatial-distribution metrics that characterize where depictions of objects of a first class are located relative to objects of a second class. The spatial-distribution metrics are used to generate a result corresponding to a predicted biological state of or a potential treatment of a subject. For example, the result may predict whether and/or an extent to which lymphocytes have infiltrated a tumor, whether checkpoint blockade therapy would be an effective treatment for the subject, and/or whether a subject is eligible for a clinical trial.

Abstract: A method for analyzing arrhythmia in real time and an electrocardiogram monitoring device is disclosed. The method for analyzing arrhythmia in real time includes: acquiring a QRS template set currently used for arrhythmia analysis; determining whether each QRS template in the QRS template set is reliable; displaying information of a QRS template when the QRS template set contains an unreliable QRS template; determining the QRS template set according to an operation performed by a user on the information of the QRS template; and acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by using a determined QRS template set, and outputting an arrhythmia analysis result of the real-time electrocardiogram data in real time. The method for analyzing arrhythmia in real time may achieve the correction of a template of a special waveform by means of editing a currently created QRS template.

Abstract: A conjugate compounds or pharmaceutically acceptable salt thereof, comprises a payload and two or more kinds of cell-interacting molecules. The cell-interacting molecules are ligands capable of specifically binding to a cell surface receptor. A method of treating diseases, comprises delivering a payload to a subject.

Abstract: The present invention provides a polyamide composite, including the following components: 20 to 80 parts of a polyamide resin; 1 to 30 parts of a red phosphorus flame retardant; 0.01 to 10 parts of trimethallyl isocyanurate; and the polyamide composite has a cross-linked structure between polyamide molecules. By adding trimethallyl isocyanurate (TMAIC) for irradiation cross-linking treatment, and by the red phosphorus flame retardant, not only the polyamide composite can meet the needs of flame retardant, but also glow-wire ignition temperature (GWIT) and comparative tracking index (CTI) have been improved.

Abstract: Systems and methods relate to processing optical tomography coherence (OCT) images to predict characteristics of a treatment to be administered to effectively treat age-related macular degeneration. The processing can include pre-processing the image by flattening and/or cropping the image and processing the pre-processed image using a neural network. The neural network can include a deep convolutional neural network. An output of the neural network can indicate a predicted frequency and/or interval at which a treatment (e.g., anti-vascular endothelial growth factor therapy) is to be administered so as to prevent leakage of vasculature in the eye.

Abstract: Systems and methods disclosed herein relate to using a machine-learning model to process an input of a subject's eye and to predict a current or future visual acuity of the subject. The subject may have been diagnosed with age-related macular degeneration. The predicted current or future visual acuity may be used to (for example) facilitate diagnosing the subject (e.g., with a particular type of age-related macular degeneration), facilitate identifying a treatment strategy for the subject, and/or facilitate designing a clinical study.

Abstract: The present disclosure discloses a conjugate compound or a pharmaceutically acceptable salt thereof, comprising a payload and two targeting molecules. Further disclosed herein is a pharmaceutical composition, comprising the conjugate compound or the pharmaceutically acceptable salt thereof. The present disclosure additionally relates to a method for delivering a payload to a subject in need thereof, and a method for treating a disease, wherein the methods comprise administering to the subject a therapeutically effective amount of the conjugate compound or the pharmaceutically acceptable salt thereof, or the pharmaceutical composition as disclosed herein.

Abstract: Disclosed are a monitoring apparatus and a method for operating same, a monitor and a computer storage medium. During the process of monitoring a monitored object, a monitoring signal of the monitored object is acquired in real time by a sensor accessory connected to the monitored object; monitoring parameter of the monitored object is obtained according to the monitoring signal, and the monitoring parameter is analyzed according to a first data analysis function. When the monitoring parameter satisfies a preset condition, a second data analysis function for at least one type of physiological parameter of the monitored object is turned on or off. Thus, a monitoring function for a physiological parameter of a monitored object can be turned on or off according to the current monitoring parameter of the monitored object, such that a monitored physiological parameter can be adaptively adjusted, thereby improving the monitoring quality.

Abstract: A method of spectroscopically measuring percent glycated hemoglobin or a glycated hemoglobin:total hemoglobin ratio in a biological sample is disclosed. The method includes the use of a turbidity normalization algorithm to normalize the total hemoglobin concentration calculated from the spectroscopic measurements to substantially remove any turbidity interference therefrom. The turbidity normalization eliminates the negative bias observed with intralipid/lipemia and thus provides a glycated hemoglobin assay with no significant interference from intralipid/lipemia.