Abstract: In some embodiments, a camera includes an optical package, a camera actuator for moving the optical package, a camera cover, and an impact absorption member to prevent contact between the camera cover and the lens carrier. In some embodiments, the camera actuator includes a lens carrier moveably mounted to a camera cover.

Abstract: A camera may include a tilt actuator having one or more tilt magnets and one or more tilt coils. The tilt actuator may detect unexpected tilt between one or more lenses and an image sensor of the camera. The tilt actuator may control current of the tilt coils to interact with magnetic fields of the tilt magnets to generate motive force to rotate the lenses relative to the image sensor around one or more axes to compensate for the detected tilt. In addition, the tilt coils and tilt magnets may interact to move the lenses relative to the image sensor along an optical axis of the lenses to adjust a focus of the camera.

Abstract: A method of fractionating lignocellulosic biomass includes fractionating lignocellulos biomass in an aqueous phenol-4-sulfonic acid (PSA). The process may provide complete or nearly complete fractionation under mild conditions.

Abstract: A verifying method for an error checking and correcting (ECC) circuit of a static random-access memory (SRAM) includes inputting original data into an error-correcting-and-coding procedure to output first data; obtaining second data according to an error-injecting mask; performing a bit operation on the first data and the second data to obtain third data; writing the third data into a test target area in the SRAM as fourth data; reading the fourth data from the test target area; inputting the fourth data into an error-correcting-and-decoding procedure to output fifth data and an error message; and obtaining a verification result according to the fifth data, the original data, the error message, and the second data.

Abstract: The present disclosure provides a method for anomaly classification for an industrial control system (ICS) communication network based on statistical learning and deep learning. This method designs LSTM deep learning structure parameters and performs modeling analysis based on a large amount of traffic data during normal operation of the ICS communication network; based on real-time communication traffic data thresholds generated by a SARIMA online statistical learning model, designs correlated algorithms to analyze a numerical relationship between background traffic and real-time traffic; and classifies ICS communication network anomalies according to an ICS network anomaly classification algorithm.

Abstract: A micro-electronic micro-connection deep-cavity welding capillary, comprising a cylindrical capillary body, one end of the capillary body is a frustoconical welding end, a stepped unfilled corner on an end face of the welding end in the lengthwise direction, the remaining end face of the welding end is a welding end face, a spherical segment-shaped through groove in the welding end face, a columnar first wire threading hole facing the interior of the capillary body in the other end face of the capillary body in the lengthwise direction, a columnar second wire threading hole that is coaxial with the first wire threading hole in a first side surface, not adjacent to the welding end face, of the unfilled corner, and a transition hole that connects the first wire threading hole to the second wire threading hole and has an isosceles-trapezoid-like cross section inside the capillary body.

Abstract: Various embodiments include a damper arrangement that may be used to dampen motions of a dynamic component. In some embodiments, the damper arrangement may be used in a camera module that includes a stationary component and a dynamic component. For instance, the dynamic component may hold a lens such that the lens moves together with the dynamic component. In various examples, the damper arrangement may include an interface member that extends from the stationary component or the dynamic component to at least partially into a viscoelastic material within a pocket configured in the stationary component, the dynamic component, or both. The interface member may be configured to traverse within the viscoelastic material to dampen motion of the dynamic component, for example, during operation of a lens actuator to move the dynamic component along an optical axis of the lens.

Abstract: A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.

Abstract: Various embodiments include a damper arrangement that may be used to dampen motions of a dynamic component. In some embodiments, the damper arrangement may be used in a camera module that includes a stationary component and a dynamic component. For instance, the dynamic component may hold a lens such that the lens moves together with the dynamic component. In various examples, the damper arrangement may include an interface member that extends from the stationary component or the dynamic component to at least partially into a viscoelastic material within a pocket configured in the stationary component, the dynamic component, or both. The interface member may be configured to traverse within the viscoelastic material to dampen motion of the dynamic component, for example, during operation of a lens actuator to move the dynamic component along an optical axis of the lens.

Abstract: A basket and a stroller with the basket are disclosed. The stroller includes a frame, a seat and a basket. The seat is disposed on the frame, and the basket is connected to the frame and located under the seat. The basket includes a bottom, a front stopper, a rear stopper and two side stoppers. The front stopper, the rear stopper and the side stoppers are connected to a front side, a rear side, and left and right sides of the bottom respectively. By the movement of the rear stopper with respect to the bottom, the deformation of the rear stopper itself, or the detachable connection of the rear stopper to the bottom, an opening for objects to enter the basket is formed at a rear side of the basket.

Abstract: A first zone and a second zone of a scan surface may be scanned by an image sensor. A lid may be coupled to the scan surface and have an open position and a closed position, the lid being to cover the first zone and the second zone when in the closed position. The position of a lid may be determined based on a comparison of a scan of the first zone and a scan of the second zone.

Abstract: An oily sewage pretreatment method without air flotation, comprising the following steps: (a) sedimentation separation: performing sedimentation separation on oily sewage to implement preliminary separation of oil, sludge, and water; (b) boiling bed separation: performing boiling bed separation on the oily sewage obtained by the preliminary separation to further remove dispersed oil, sludge, and sand from the oily sewage; (c) shape coalescence separation: performing shape coalescence separation on the oily sewage obtained by the boiling bed separation in step (b) to implement demulsification, coalescence, and separation of emulsified oil; and (d) biochemical treatment: the effluent obtained in step (c) directly enters an AOH biochemical system, an air flotation unit is omitted. Also disclosed is an oily sewage pretreatment apparatus without air flotation.

Abstract: A first zone and a second zone of a scan surface may be scanned by an image sensor. A lid may be coupled to the scan surface and have an open position and a closed position, the lid being to cover the first zone and the second zone when in the closed position. The position of a lid may be determined based on a comparison of a scan of the first zone and a scan of the second zone.

Abstract: The application provides a method for improving the stability of a low-concentration atropine ophthalmic preparation, characterized by controlling the content of the total impurity ?0.25% and/or a single impurity content of ?0.05%, as well as a method for preparing the ophthalmic preparation, an atropine ophthalmic preparation prepared therefrom and use thereof in the manufacture of a medicament for preventing and/or treating vision defects.

Abstract: A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.

Abstract: Disclosed are a model parameter training method, apparatus and device based on federation learning, and a medium. The method includes: when a first terminal receives encrypted second data sent by a second terminal, obtaining a loss encryption value and a first gradient encryption value; randomly generating a random vector with same dimension as the first gradient encryption value, blurring the first gradient encryption value based on the random vector, and sending the blurred first gradient encryption value and loss encryption value to the second terminal; when receiving a decrypted first gradient value and loss value returned by the second terminal, detecting whether a model to be trained is convergent according to the decrypted loss value; if yes, obtaining a second gradient value according to the random vector and the decrypted first gradient value and determining a sample parameter corresponding to the second gradient value as a model parameter.

Abstract: A probe assembly of an electropolishing system for electropolishing a surface of a part is disclosed. The probe assembly includes a supply line, at least a part of which is flexible. The supply line defines a fluid passage for a flow of an electrolyte therethrough. The probe assembly also includes an electrode with at least one aperture. The electrode is attached to the supply line and is fluidly connected to the fluid passage for receiving the electrolyte and outputting the electrolyte via the at least one aperture. The electrode is configured to be electrically charged for electropolishing the surface of the part. Also, the probe assembly includes a sensor that is attached to at least one of the supply line and the electrode. The sensor is configured to provide substantially real-time feedback corresponding to the electropolishing of the surface of the part. Methods of using the system are also disclosed.

Abstract: The present invention provides for recombinant Endo-S2 mutants (named Endo-S2 glycosynthases) that exhibit reduced hydrolysis activity and increased transglycosylation activity for the synthesis of glycoproteins wherein a desired sugar chain is added to a fucosylated or nonfucosylated GlcNAc-IgG acceptor. As such, the present invention allows for the synthesis and remodeling of therapeutic antibodies thereby providing for certain biological activities, such as, prolonged half-life time in vivo, less immunogenicity, enhanced in vivo activity, increased targeting ability, and/or ability to deliver a therapeutic agent.

Abstract: The present invention belongs to the field of medicine and relates to a pharmaceutical composition for preventing and treating NITM and a medical use thereof. Specifically, the pharmaceutical composition is an ophthalmic pharmaceutical composition such as an ophthalmic preparation. Specifically, the present invention relates to a pharmaceutical composition comprising 0.001% to 0.2% of atropine or a pharmaceutically acceptable salt thereof, and one or more pharmaceutically acceptable excipients; wherein the pH value of the pharmaceutical composition is of 4.0 to 6.5; the pharmaceutical composition comprises 0.5% to 5% of a pH adjusting agent, and the pH adjusting agent is any one or more selected from sodium dihydrogen phosphate, disodium hydrogen phosphate, citric acid, citrate, boric acid and borates. The pharmaceutical composition of the present invention can effectively treat and/or prevent NITM, and thus has a good application prospect.

Abstract: Disclosed are a model parameter training method and a terminal based on federation learning, and a medium. The method includes: determining a feature intersection of a first sample of the first terminal and a second sample of a second terminal, training the first sample based on the feature intersection to obtain a first mapping model, sending the first mapping model to the second terminal; receiving a second encryption mapping model sent by the second terminal, predicting a missing feature of the first sample of the first terminal according to the second encryption mapping model to obtain a first encryption supplementary sample; receiving a first encryption federation learning model parameter sent by a third terminal, training a federation learning model to be trained according to the first encryption federation learning model parameter, and calculating a first encryption loss value; and sending the first encryption loss value to the third terminal.