Abstract: Disclosed are a light-emitting module and a display device. The light-emitting module includes a substrate, a first driving circuit layer and at least one first light-emitting unit group. At least one first groove is provided on a surface of the substrate. The first driving circuit layer is located on the substrate and includes at least one first signal line located in the first groove. The first light-emitting unit group is located on a side, where the first driving circuit layer is provided, of the substrate, and includes at least one first lamp bead, and the first lamp bead is connected in series on the first signal line. In the light-emitting module, the first signal line is arranged in the first groove of the substrate, which is equivalent to being embedded in the substrate.

Abstract: A material compliance system and method, which includes a call information receiving module for receiving call information, a voice labeling module for recognizing label information in the call information via voice recognition and inserting label information to form primary recording information, a voice segmentation module for segmenting the primary recording information into intermediate recording information based on the label information, a voice recognition module for converting the intermediate recording information into final text information, a voice analysis module for organizing the intermediate text information into compliance information and storing it in a database, and an output module for outputting the received compliance information.

Abstract: A mechanism is provided in a data processing system for predictive and prescriptive analytics for managing high-cost claimants. The mechanism trains a machine learning model using the set of de-identified claims data to predict high-cost claimants using the training data. The mechanism applies transfer learning by retraining the machine learning model using a first set of customized client data to generate a client-specific machine learning model. The mechanism then applies the client-specific machine learning model to a second set of customized client data to identify a set of predicted high-cost claimants within the second set of customized client data. The mechanism generates association rules for determining recommendations for preventing the set of predicted high-cost claimants from becoming high-cost claimants and applies the association rules to the second set of customized client data to generate a set of recommendations.

Abstract: A preparation method for semaglutide. The method comprises: producing a semaglutide resin by means of a solid-phase synthesis, producing crude semaglutide by cleavage and deprotection, producing refined semaglutide by purification and freeze-drying, comprising the solid-phase synthesis of a semaglutide 1-6 peptide fragment resin, which is cleaved and purified to serve as a first peptide fragment; and synthesizing a lysine having a sidechain group at locus 20 of semaglutide to serve as a second peptide fragment. In the method, prepared is a semaglutide loci 1-6 fully protected peptide fragment, which serves as a key starting material applied in the solid-phase synthesis of semaglutide, thus reducing the generation of D-His, D-Glu, D-Thr, D-Phe racemic impurities and +Gly impurities, reducing the difficulty of coarse product purification, increasing the purity and yield of semaglutide, reducing synthesis costs, and favoring industrialized large-scale production.

Abstract: A synthesis method for low-racemization impurity liraglutide comprises the following steps: performing synthesis to obtain a propeptide, coupling 2 to 5 peptides comprising Thr-Phe on the propeptide by using a solid-phase synthesis method; further, performing solid-phase synthesis to obtain a liraglutide resin; the liraglutide resin is cracked after modification, or the liraglutide resin is directly cracked, purified and frozen dry, so as to obtain the liraglutide.

Abstract: A method and apparatus for on-line measurement of the wafer thinning and grinding force, related to the field of ultra-precision machining of semiconductor wafer materials. The grinding force measuring apparatus comprises a semiconductor wafer, a worktable, a bearing table, a thin film pressure sensor, and a data processing and wireless transmission module. The grinding force measuring method includes sensor calibration based on the testing device and on-line measurement of grinding force. Using the grinding force measuring device and method provided by the invention, the grinding force in the semiconductor wafer grinding process can be monitored in real time, which is of great significance for semiconductor processing and reducing grinding damage.

Abstract: A method and apparatus for on-line measurement of the wafer thinning and grinding force, related to the field of ultra-precision machining of semiconductor wafer materials. The grinding force measuring apparatus comprises a semiconductor wafer, a worktable, a bearing table, a thin film pressure sensor, and a data processing and wireless transmission module. The grinding force measuring method includes sensor calibration based on the testing device and on-line measurement of grinding force. Using the grinding force measuring device and method provided by the invention, the grinding force in the semiconductor wafer grinding process can be monitored in real time, which is of great significance for semiconductor processing and reducing grinding damage.

Abstract: A synthesis method for low-racemization impurity liraglutide comprises the following steps: performing synthesis to obtain a propeptide, coupling 2 to 5 peptides comprising Thr-Phe on the propeptide by using a solid-phase synthesis method; further, performing solid-phase synthesis to obtain a liraglutide resin; the liraglutide resin is cracked after modification, or the liraglutide resin is directly cracked, purified and frozen dry, so as to obtain the liraglutide.