Abstract: Disclosed are a cement-based battery and a method for manufacturing thereof. The cement-based battery includes a waterproof structure, a battery body, a positive electrode, a negative electrode, and an electrolyte solution. The waterproof structure is provided with an accommodating cavity. The battery body is disposed in the accommodating cavity, and includes a cement-based body, which is obtained by curing a solid-liquid mixture, wherein the solid-liquid mixture includes cement, a first porous material, and a first effective microorganism aqueous solution. The positive electrode and the negative electrode are connected to the battery body respectively and extend out of the waterproof structure. The electrolyte solution is disposed in the accommodating cavity. Therefore, the cement-based battery can be applied to a cement building as an energy storage battery to provide power at night, during power outages or during emergencies.

Abstract: In certain embodiments, an input/output (IO) device includes: an IO interface configured to operatively connect the IO device to one or more computing devices; a device unit operatively connected to the IO interface and comprising a plurality of IO components; an IO internal expansion unit operatively connected to the IO interface and the device unit; a management unit configured to provide remote management capabilities for the IO device; a power unit operatively connected to and configured to provide power for the IO interface, the device unit, the IO internal expansion unit; and the management unit; and a thermal unit configured to provide thermal management for the IO device.

Abstract: A power conversion and transmission system includes a power provider unit, a load unit and a cable. The power provider unit includes a power conversion circuit for converting an input power into an intermediate power, and a path switch coupled between the intermediate power and a bus power. The cable includes a power sub-cable, a communication sub-cable, and a ground sub-cable, for coupling the provider-end power, communication, and ground nodes of the power provider unit respectively to the corresponding nodes of the load unit. At an initial time point, voltage the of the provider-end communication node is sensed and recorded as the initial voltage level. At a determination time point, if the difference between the present voltage level of the provider-end communication node and the initial voltage level exceeds a threshold value, a power source limiting operation is initiated.

Abstract: A headphone control method and a headphone are disclosed. By simultaneously turning on an active noise cancellation link and a first transparent transmission link, external audio signals may be suppressed by generating anti-noise signals by the active noise cancellation link and playing the anti-noise signals by the speaker. Also, a non-target-type audio signal may be removed or filtered by performing noise reduction processing on the non-target-type audio signal in the external audio signals by the first transparent transmission link to obtain the noise-reduced audio signal in which the target-type audio signal in the external audio signals is retained. The speaker plays the noise-reduced audio signal, so that the target-type audio signal can be transparently transmitted to a user's ears, and the user can focus on the audio signals of the target type that they desire to perceive.

Abstract: A semiconductor device includes a first wafer, and a second wafer bonded with the first wafer and comprising a substrate and a device layer over the substrate. The first wafer is over the second wafer and includes memory arrays, array-base regions over the memory arrays, an isolation structure surrounding and insulating the array-base regions from one another, and bonding pads over the isolation structure. An array-base region of the array-base regions is connected with a memory array of the memory arrays. A bonding pad of the bonding pads is exposed.

Abstract: Embodiments of three-dimensional (3D) memory devices formed by bonded semiconductor devices and methods for forming the same are disclosed. In an example, a method for forming a semiconductor device is disclosed. The method includes the following operations. First, an insulating material layer can be formed over a substrate. In an example, single-crystalline silicon is not essential to the substrate. The insulating material layer can be patterned to form an isolation structure and a plurality of trenches in the isolation structure. A semiconductor material can be deposited to fill up the plurality of trenches to form a plurality of array-base regions in the isolation structure, the isolation structure insulating the plurality of array-base regions from one another. Further, a plurality of memory arrays can be formed over the plurality of array-base regions, and an insulating structure can be formed to cover the plurality of memory arrays and the plurality of array-base regions.

Abstract: An ionizable lipid based on endogenous dicarboxylic acid as well as a preparation method and use thereof. The ionizable lipid based on endogenous dicarboxylic acid is a compound represented by Formula (I), or a stereoisomer, tautomer, pharmaceutically acceptable salt or solvate thereof; wherein, X is selected from — Y is selected from —O— and —NH—; R is selected from C6-C20 alkyl, C6-C20 alkyl substituted by a substituent group, C6-C20 alkenyl, C6-C20 alkenyl substituted by a substituent group, C6-C20 alkynyl, and C6-C20 alkynyl substituted by a substituent group; n is an integer of 1-8.

Abstract: The motion estimation of an anatomical structure may be performed using a machine-learned (ML) model trained based on medical training images of the anatomical structure and corresponding segmentation masks for the anatomical structure. During the training of the ML model, the model may be used to predict a motion field that may indicate a change between a first training image and a second training image, and to transform the first training image and a corresponding first segmentation mask based on the motion field. The parameters of the ML model may then be adjusted to maintain a correspondence between the transformed first training image and the second training image and between the transformed first segmentation mask or a second segmentation mask associated with the second training image. The correspondence may be assessed based on at least a boundary region shared by the anatomical structure and one or more other anatomical structures.

Abstract: The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub is configured to receive and process a plurality of physiological parameters associated with the patient. The hub includes advanced analytical presentation views configured to provide timely, clinically-relevant, actionable information to care providers. In certain embodiments, the monitoring hub stores and is able to replay previously presented data reflective of the patient's condition.

Abstract: Embodiments of the disclosure provide a multi-class classification system. An exemplary system includes at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to perform operations. The operation includes applying a multi-class classifier to classify a set of objects into multiple classes and applying a plurality of binary classifiers to the set of objects, wherein the plurality of binary classifiers are decomposed from the multi-class classifier, each binary classifier classifying the set of the objects into a first group consisting of one or more classes selected from the multiple classes and a second group consisting of one or more remaining classes of the multiple classes. The operation also includes jointly classifying the set of objects using the multi-class classifier and the plurality of binary classifiers.

Abstract: The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub is configured to receive and process a plurality of physiological parameters associated with the patient. The hub includes advanced analytical presentation views configured to provide timely, clinically-relevant, actionable information to care providers. In certain embodiments, the monitoring hub stores and is able to replay previously presented data reflective of the patient's condition.

Abstract: A semiconductor device includes a substrate, a gate dielectric layer, a gate electrode, a field plate, a source electrode and a drain electrode. The gate dielectric layer is disposed on the substrate and includes a first portion having a first thickness, a second portion having a second thickness, and a third portion having a third thickness. The first, second and third thicknesses are different from each other, and the first thickness is smaller than the second and third thicknesses. The gate electrode is disposed on the first portion of the gate dielectric layer. The field plate is separated from and electrically coupled to the gate electrode, and is disposed on the second and third portions of the gate dielectric layer. The source and drain electrodes are disposed on the sides of the gate electrode and the field plate, respectively.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system via an assistant xbot, a first audio input from a user, parsing the first audio input to identify a request for a content digest from an online social network, retrieving a plurality of content objects from the online social network, each of the content objects being accessible by the user, generating a customized newsfeed summary based on a determined semantical meaning of each of the plurality of content objects, and sending, to the client system via the assistant xbot, instructions for presenting an audio clip to the user responsive to the request for the content digest, wherein the audio clip comprises the customized newsfeed summary.

Abstract: The present disclosure is related to systems and methods for processing speech dialogue. The method includes obtaining target speech dialogue data. The method includes obtaining a text vector representation sequence, a phonetic symbol vector representation sequence, and a role vector representation sequence by performing a vector transformation on the target speech dialogue data based on a text embedding model, a phonetic symbol embedding model, and a role embedding model, respectively. The method includes determining a representation vector corresponding to the target speech dialogue data by inputting the text vector representation sequence, the phonetic symbol vector representation sequence, and the role vector representation sequence into a trained speech dialogue coding model. The method includes determining a summary of the target speech dialogue data by inputting the representation vector into a classification model.

Abstract: A circuit board for semiconductor test includes first and second sub-circuit boards, and an insulating dielectric layer therebetween. Each sub-circuit board includes a substrate and circuits including upper and lower contacts. The insulating dielectric layer includes through holes, and connecting conductors disposed therein and electrically connected with the upper and lower contacts of two sub-circuit boards. The circuit board is defined with central and peripheral regions. The lower contacts of the first sub-circuit board in the central region are electrically connected with a probe head. The upper contacts of the second sub-circuit board in the peripheral region are electrically connected with a tester, larger in pitch than the lower contacts of the first sub-circuit board in the central region, and larger in amount than the lower contacts of the first sub-circuit board in the peripheral region. The circuit board has great power test uniformity.

Abstract: A method and an electronic device of updating a neural network model are provided. The method includes the following steps. The neural network model is received. The neural network model includes a first neuron and a second neuron. The training data is input to the first neuron to output a first estimated value from the second neuron. A first weight of the first neuron is quantized to generate a third neuron, and a second weight of the second neuron is quantized to generate a fourth neuron. The training data is input to the third neuron to output a second estimated value from the fourth neuron. A first activation function of the first neuron and a second activation function of the second neuron are updated according to the first estimated value and the second estimated value, thereby generating the updated neural network model. The updated neural network model is output.

Abstract: The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub is configured to receive and process a plurality of physiological parameters associated with the patient. The hub includes advanced analytical presentation views configured to provide timely, clinically-relevant, actionable information to care providers. In certain embodiments, the monitoring hub stores and is able to replay previously presented data reflective of the patient's condition.