Abstract: The present invention relates to the technical field of electrocatalytic electrode preparation, and discloses a lead dioxide-carbon nanotube adsorptive electrochemical submicroelectrode, a preparation method, and use thereof. The electrochemical submicroelectrode according to the present invention comprises multiple layers of orderly arranged spherical lead dioxide submicroholes communicating with each other, where the carbon nanotubes are partially or completely inserted (in the form of twigs) in the lead dioxide hole and in the wall of the hole. The combined effect of adsorption and catalysis inside the submicroreactor effectively solves the problems of low catalytic efficiency and diffusion control associated with the conventional flat lead dioxide electrode, thus greatly improving the electrochemical catalytic performance of the electrode.

Abstract: A reference generation circuit includes a proportional-to-absolute temperature (PTAT) current branch having a pair of diodes and a complementary-to-absolute temperature (CTAT) current branch having a pair of resistors. A first bank of diode-connected transistors is positioned in the PTAT branch and a second bank of diode-connected transistors is positioned in the CTAT branch. Diode-connected transistors of the first and second banks of transistors are selectable to tune a gate-source voltage of each of the first and second banks of diode-connected transistors.

Abstract: The present invention relates to the technical field of wastewater treatment, and discloses a bioaugmentation treatment process for lithium battery producing wastewater. The method comprises the following steps: 1) introducing wastewater into a hydrolytic acidification tank, and adding Enterobacter sp. NJUST50 and activated sludge to the hydrolytic acidification tank for hydrolytic acidification treatment; 2) introducing the effluent into an anoxic tank, and adding Enterobacter sp. NJUST50 and anaerobic activated sludge for anoxic treatment; 3) introducing the effluent into an aerobic tank, and adding Enterobacter sp. NJUST50 and aerobic activated sludge for aerobic treatment; 4) introducing the effluent into an anoxic filter tank, and adding Enterobacter sp. NJUST50 and anaerobic activated sludge to the filter tank for treatment; and 5) introducing the effluent into a biological aerated filter tank, and adding a sludge mixture of Enterobacter sp.

Abstract: This document relates to training of machine learning models such as neural networks. One example method involves providing a machine learning model having one or more layers and associated parameters and performing a pretraining stage on the parameters of the machine learning model to obtain pretrained parameters. The example method also involves performing a tuning stage on the machine learning model by using labeled training samples to tune the pretrained parameters. The tuning stage can include performing noise adjustment of the labeled training examples to obtain noise-adjusted training samples. The tuning stage can also include adjusting the pretrained parameters based at least on the labeled training examples and the noise-adjusted training examples to obtain adapted parameters. The example method can also include outputting a tuned machine learning model having the adapted parameters.

Abstract: A preparation method of an Al—Ti—Nb—B intermediate alloy includes following steps. KBF4 powder, Nb powder, and Ti powder are ball milled to obtain mixed powder, the mixed powder is pressed to obtain a ball-milled block, an Al block is melted to obtain an Al melt, the ball-milled block is added to the Al melt followed by smelting to obtain alloy liquid, and the alloy liquid is cast to obtain the Al—Ti—Nb—B intermediate alloy as a refining agent. A high-energy ball milling process is introduced into the preparation method of the Al—Ti—Nb—B intermediate alloy, improving reaction activity and lowering a reaction threshold. An ?-Al grain can be refined to be less than 90 ?m due to uniform dispersion of refining nucleation particles of the refining agent, the refining agent has a great refining effect. The preparation method is simple with easy steps and operations, the Al—Ti—Nb—B intermediate alloy has high purity.

Abstract: Kits containing a chemiluminescent detection system and microfluidics devices and methods for determining the concentration of biotin in a sample are disclosed. The kits, microfluidics devices, and methods utilize a sensitizer capable of generating singlet oxygen in its excited state and having avidin or an analog thereof directly or indirectly bound thereto, as well as a singlet oxygen-activatable chemiluminescent compound having biotin or an analog thereof directly or indirectly bound thereto.

Abstract: Generally discussed herein are devices, systems, and methods for backpropagation of a discrete latent variable.

Abstract: Kits containing a chemiluminescent detection system and microfluidics devices and methods for determining the concentration of biotin in a sample are disclosed. The kits, microfluidics devices, and methods utilize a sensitizer capable of generating singlet oxygen in its excited state and having avidin or an analog thereof directly or indirectly bound thereto, as well as a singlet oxygen-activatable chemiluminescent compound having biotin or an analog thereof directly or indirectly bound thereto.

Abstract: A chromatographic media for separating bio-polymers, the chromatographic media having cationic exchange properties and anionic exchange properties, the chromatographic media comprising: (a) non-porous substrate particles including an organic polymer, the substrate particles having a neutral hydrophilic layer at a surface of the non-porous substrate particles, in which the neutral hydrophilic layer is configured to reduce a binding of the bio-polymers directly to the non-porous substrate particles compared to a binding of the bio-polymer to the non-porous substrate particles without the neutral hydrophilic layer; (b) a charged first ion exchange layer bound to the substrate particles on top of the hydrophilic layer, the first ion exchange layer comprising first ion exchange groups; and (c) a charged second ion exchange layer bound to the substrate particles on top of the first ion exchange layer.

Abstract: The present disclosure provides a live room control method, an apparatus, an electronic device, a medium, and a program product, which allow a target live room to be quickly re-entered after exiting a live room page of the target live room. The method comprises: receiving a first trigger operation for exiting a target live room; and in response to the first trigger operation, stopping displaying a live room page of the target live room, and associating the target live room to a target control.

Abstract: Disclosed in the present invention is a dual-rotor microfluidic energy capturing and power generating device based on a piezoelectric effect. An inner ring of blades and an outer ring of blades are coaxially and movably sleeved, and rotate relatively. Sheet-like magnetic piezoelectric components and steel magnets are provided in an annular gap between the inner ring of blades and the outer ring of blades. Magnetic piezoelectric components are connected to an inner peripheral surface of the outer ring of blades, the magnetic piezoelectric components are magnetically repulsive to the steel magnets, and the outer sides of the magnetic piezoelectric components are axially arranged. The inner ring of blades and the outer ring of blades rotate relatively to drive the magnetic piezoelectric components and the steel magnets to rotate relatively, and further drive the magnetic piezoelectric components to oscillate to generate mechanical energy which is then converted into electric energy.

Abstract: This document relates to architectures and training procedures for multi-task machine learning models, such as neural networks. One example method involves providing a multi-task machine learning model having one or more shared layers and two or more task-specific layers. The method can also involve performing a pretraining stage on the one or more shared layers using one or more unsupervised prediction tasks.

Abstract: A technique performs the task of knowledge-graph completion in a manner that is both scalable and resource efficient. In some implementations, the technique identifies a source entity having a source-target relation that connects the source entity to a yet-to-be-determined target entity. The technique also identifies a source-entity data item that provides a passage of source-entity text pertaining to the source entity. The technique uses a machine-trained encoder model to map the source-entity data item to source-entity encoded information. The technique then predicts an identity of the target entity based on the source-entity encoded information, and based on predicate encoded information that encodes the source-target relation. In some implementations, the technique also predicts the target entity based on a consideration of one or more neighboring entities that are connected to the source entity and their respective source-to-neighbor relations.

Abstract: Provided is an acoustic device having front and rear surfaces, and the front surface has sound outlet. The acoustic device includes: a metal enclosure housing; an acoustic component mounted in the housing, the acoustic component and the enclosure housing cooperate to form front and rear sound cavities, and the front sound cavity is communicated with the sound outlet; and an isolation component mounted in the rear sound cavity, and the isolation component and the enclosure housing enclose to define a filling cavity filled with sound-absorbing material. The isolation component closely fits outer surface of the acoustic component, the isolation component is provided with hollow portion to enable the outer surface of the acoustic component to be exposed to the filling cavity, and the hollow portion is filled with the sound-absorbing material. With the arrangement of the hollow portion, the acoustic device is filled with more sound-absorbing material, improving acoustic performance.

Abstract: The disclosed concepts relate to pretraining of machine learning models. One example method involves performing separate optimization of a first machine learning model and a second machine learning model. The first machine learning model can be optimized based at least on first predictions and the second machine learning model can be optimized based at least on second predictions. The first predictions can represent predictions of masked values in first sequences of values values, and the second predictions can represent whether or not the first values were replaced with different values predicted by the first machine learning model.