Abstract: Examples of recommendation methods and apparatus are described. In one example method, a plurality of images are obtained, where each image includes one candidate interface and one type of candidate content presented by using the candidate interface. Image feature data of each image is obtained, and input for a prediction model is determined based on user feature data of a target user and the image feature data. Then, a degree of preference of the target user for each image is predicted by using the prediction model. At least one of a candidate interface or candidate content that are included in the plurality of images is selected based on the degree of preference. Recommendation is then performed to the user based on the selected candidate content or candidate interface.

Abstract: This application relates to the field of wireless communication technologies. A terminal device receives configuration information, which indicates that one first combination is mapped to a plurality of downlink reference signals, and one first combination is mapped to a plurality of second combinations. The terminal device then determines a mapping relationship between a first combination and downlink reference signals, a mapping relationship between a first combination and second combinations, and a mapping relationship between second combinations and downlink reference signals based on the configuration information. Next, a first preamble is sent on a first RO included in a first combination, and a first uplink reference signal is sent on a first PO included in a second combination. The selected first combination has a mapping relationship with the selected second combination. A selected downlink reference signal group is indicated by the selected first combination.

Abstract: A green fluorescent ceramic material, a preparation method therefor and the use thereof, are applicable in the field of fluorescent ceramics for LED lighting. The chemical constitution of the green fluorescent ceramic material is graphene-Y3-x-yAl5O12:x Ce3+, y Lu3+, with 0.0001?x?0.1, and 0.01?y?2.9; and the mass percentage of graphene is less than 0.5 wt % but is not 0 on the basis of the total weight of the green fluorescent ceramic material. The green fluorescent ceramic material has the characteristics of a high heat conductivity, a good heat dissipation property, and a controllable light-emitting wavelength within a range of 490-540 nm; and same is suitable for use as an LED encapsulating material.

Abstract: A white light LED chip packaged in inorganic material, a device, a preparation method therefor, and an application thereof are provided. The white light LED chip includes an LED chip wafer, an inorganic material packaging layer and a single crystal substrate. The LED chip wafer has at least one flip or vertical LED chip. The inorganic material packaging layer packages the LED chip wafer. The inorganic material packaging layer has a fluorescent transparent ceramic piece or a fluorescent crystal piece.

Abstract: The present invention relates to articles, systems, and methods for injection molding an article. The method includes directing a first shot of molten polymeric material into a mold cavity to form a first part while simultaneously occluding a portion of the gate orifice area with a mold core. Once the first shot is solidified, then the mold core is withdrawn and a second shot is directed into the space previously occupied by the mold core while a portion of the gate orifice area is occluded by the solidified first shot.

Abstract: The invention discloses a metal nanoparticles/nanocellulose composites-based non-enzymatic electrochemical glucose sensor, comprising a three-electrode system composed of a working electrode, a counter electrode, and a reference electrode. The surface of the working electrode is coated with a metal nanoparticles/nanocellulose composites. The surface of the nanocellulose is modified with a strong cationic conducting polymer. The invention promotes the sensitivity and selectivity of glucose sensing with the linear range of 4 ?M-15 mM and the detection limit of 1.4 ?M. Therefore, the sensor possesses high sensitivity, high response speed, stable performance and high anti-interference ability. The preparation method of the metal nanoparticles/nanocellulose composites-based non-enzymatic electrochemical glucose sensor is simple and the cost is low. And enzyme is introduced into the preparation process.

Abstract: The present invention relates to articles, systems, and methods for injection molding an article. The method includes directing a first shot of molten polymeric material into a mold cavity to form a first part while simultaneously occluding a portion of the gate orifice area with a mold core. Once the first shot is solidified, then the mold core is withdrawn and a second shot is directed into the space previously occupied by the mold core while a portion of the gate orifice area is occluded by the solidified first shot.

Abstract: The invention discloses a metal nanoparticles/nanocellulose composites-based non-enzymatic electrochemical glucose sensor, comprising a three-electrode system composed of a working electrode, a counter electrode, and a reference electrode. The surface of the working electrode is coated with a metal nanoparticles/nanocellulose composites. The surface of the nanocellulose is modified with a strong cationic conducting polymer. The invention promotes the sensitivity and selectivity of glucose sensing with the linear range of 4 ?M-15 mM and the detection limit of 1.4 ?M. Therefore, the sensor possesses high sensitivity, high response speed, stable performance and high anti-interference ability. The preparation method of the metal nanoparticles/nanocellulose composites-based non-enzymatic electrochemical glucose sensor is simple and the cost is low. And enzyme is introduced into the preparation process.