Abstract: A database-native Lock-Free Reservation infrastructure is used to provide automatic compensation for the reservable column updates made by successful local transactions (or microservice actions) that are part of a saga that is being aborted. The automatic compensation is achieved by tracking the reservable column updates in a reservations journal, within the database, during the execution of the local transaction and remembering them beyond the commit of the local transaction until the finalization of the saga that the transaction is a part of. If the saga aborts, then the database server automatically uses the information retained in the reservations journal to compensate for the changes made by the committed transactions that were part of the saga.

Abstract: A regenerated polymer alloy material is provided. The regenerated polymer alloy material is mainly prepared from the following raw materials in parts by mass: a waste HIPS: 55-70, a PP: 30-45, an alkylation reaction catalyst: 0.1-0.4, a co-catalyst: 0.1-0.3, and a HIPS-based macromolecular chain extender: 2-8. The regenerated polymer alloy material uses the waste HIPS and the PP new materials as raw materials, to obtain a waste HIPS based regenerated polymer alloy material with excellent comprehensive properties by using two types of chemical modifiers in combination in segments. The waste HIPS based regenerated polymer alloy material has environmental protection and high value. Further, a method for preparing the regenerated polymer alloy material is also provided.

Abstract: A method for machine learning-based classification may include training a machine learning model with a full training data set, the full training data set comprising a plurality of data points, to generate a first model state of the machine learning model, generating respective embeddings for the data points in the full training data set with the first model state of the machine learning model, applying a clustering algorithm to the respective embeddings to generate one or more clusters of the embeddings, identifying outlier embeddings from the one or more clusters of the embeddings, generating a reduced training data set comprising the full training data set less the data points associated with the outlier embeddings, training the machine learning model with the reduced training data set to a second model state, and applying the second model state to one or more data sets to classify the one or more data sets.

Abstract: A polar navigation window period assessment system based on three-dimensional visualization simulation of ship-ice interaction is provided in the present application, including a virtual reality interactive operation module for interacting with virtual reality scenes based on a virtual reality (VR) handle and a VR helmet; a three-dimensional virtual visualization integration module for observing the virtual reality scenes from a global perspective; a three-dimensional simulation module of the Arctic route environment for simulating a route environment scene; an Arctic navigation virtual scene module for establishing a navigation virtual scene; an Arctic navigation window period assessment module for assessing navigation window periods of the ship on different routes; a system storing and outputting module for storing interactive operation information, virtual reality scene information and window period assessment result information, and outputting them in form of curve diagrams and data tables.

Abstract: The present disclosure provides a control method for a display panel, a control device thereof, and a display device. This control method includes: obtaining spatial position coordinates of a pupil of a user; determining coordinates of a gaze point in a display area of a display panel viewed by the user according to the spatial position coordinates of the pupil; determining an area range that the pupil of the user is gazing in the display area according to the spatial position coordinates of the pupil, the coordinates of the gaze point and a preset visual angle; determining a gaze area and a non-gaze area in the display area according to the area range, wherein the gaze area is adjacent to the non-gaze area; and adjusting a first gate driving signal input to the gaze area and a second gate driving signal input to the non-gaze area.

Abstract: Provided is a photoinitiator composition containing an acylcarbazole derivative and a carbazolyl oxime ester. The photoinitiator composition is used in a photocurable composition, especially a photoresist formulation, and exhibits the best sensibilization effect when the molar ratio of the acylcarbazole derivative to the carbazolyl oxime ester photoinitiator is between 0.1 and 1.4.

Abstract: Disclosed is an unmanned aerial vehicle (UAV)-aided over-the-air computing system based on full-duplex relay and a trajectory and power optimization method thereof. The UAV-aided over-the-air computing system adopts the UAV as a full-duplex relay for data fusing and forwarding. The method of the application aims at minimizing an average mean square error of over-the-air computing, and solves an optimization problem under constraints of sensor transmitting power, information transmission rate, UAV trajectory and denoising factor. For an overall joint optimization problem, each optimization variable is determined one by one by an alternative optimization method according to the high coupling of optimization variables.

Abstract: An interferometric demodulation system for a large capacity fiber grating sensing network is provided by the present disclosure, comprising: a continuous light output end of the nanoscale wide-spectrum light source is connected to an input end of the pulse optical modulator, an output end of the reference grating is connected to an input end of the grating array sensing network, and a third communication end of the optical circulator is connected to an input end of the optical amplifier, an output end of the optical amplifier is connected to an input end of the Mach-Zehnder interferometer, three-channel signal output ends of the Mach-Zehnder interferometer are respectively connected to signal input ends corresponding to the embedded signal processor through the photoelectric converter, and the embedded signal processor controls the heating device to control a temperature of an any one of interference arms of the Mach-Zehnder interferometer.

Abstract: A bifunctional catalyst and a preparation method therefor are provided. The bifunctional catalyst is prepared by providing carbon matrix, adding 0.01-10 mol/L platinum containing solution, 0.01-10 mol/L palladium containing solution, 0.01-10 mol/L silver containing solution, and 0.01-15 mol/L sodium citrate trihydrate solution to the carbon matrix for reacting at 20° C. to 80° C. for 0.5 h to 24 h to obtain a mixed solution, and adding reducing agent to the mixed solution for reacting for 0.5 h to 30 h, and centrifuging and drying so as to obtain the bifunctional catalyst.

Abstract: Embodiments of the present disclosure may provide dynamic and fair assignment techniques for allocating resources on a demand basis. Assignment control may be separated into at least two components: a local component and a global component. Each component may have an active dialog with each other; the dialog may include two aspects: 1) a demand for computing resources, and 2) a total allowed number of computing resources. The global component may allocate resources from a pool of resources to different local components, and the local components in turn may assign their allocated resources to local competing requests. The allocation may also be throttled or limited at various levels.

Abstract: A method for efficient journal truncation is provided. A method for journal truncation includes maintaining a journal in a memory of a computing system including a plurality of records. Each record indicates a transaction in an ordered data structure. The method includes maintaining a truncation queue in the memory including one or more entries. Each entry in the truncation queue includes a physical on-disk offset associated with a different record of the plurality of records. The method includes determining to truncate the journal and truncating records, of the plurality of records, from the journal starting from a beginning record in the journal up to the record with the physical on-disk offset associated a least recent entry of the one or more entries in the truncation queue, where the truncating includes removing the records from the memory.

Abstract: A method for efficient write-back for journal truncation is provided. A method includes maintaining a journal in a memory of a computing system including a plurality of records. Each record indicates a transaction associated with one or more pages in an ordered data structure and maintaining a dirty list including an entry for each page indicated by a record in the journal. Each entry in the dirty list includes a respective first log sequence number (LSN) associated with a least recent record of the plurality of records that indicates the page and a respective second LSN associated with a most recent record of the plurality of records that indicates the page. The method includes determining to truncate the journal. The method includes identifying one or more records, of the plurality of records, from the journal to write back to a disk, where the identifying is based on the dirty list.

Abstract: A method for machine learning-based classification may include training a machine learning model with a full training data set, the full training data set comprising a plurality of data points, to generate a first model state of the machine learning model, generating respective embeddings for the data points in the full training data set with the first model state of the machine learning model, applying a clustering algorithm to the respective embeddings to generate one or more clusters of the embeddings, identifying outlier embeddings from the one or more clusters of the embeddings, generating a reduced training data set comprising the full training data set less the data points associated with the outlier embeddings, training the machine learning model with the reduced training data set to a second model state, and applying the second model state to one or more data sets to classify the one or more data sets.

Abstract: The disclosure provides a light-responsive aptamer for regulating the activity of a DNA polymerase. The DNA polymerase includes a G-quadruplex-binding peptide and a polymerase sequence; the polymerase sequence includes an active site; and the light-responsive aptamer includes an aptamer sequence and a photoactive linker connected to the aptamer sequence; the aptamer sequence includes a G-quadruplex-forming sequence and a substrate DNA sequence; the G-quadruplex-forming sequence forms a G-quadruplex, and the substrate DNA sequence folds to form a hairpin structure; the G-quadruplex-forming sequence binds to the G-quadruplex-binding peptide, and the substrate DNA binds to the active site of the DNA polymerase; in the presence of ultraviolet light irradiation (UV irradiation), the photoactive linker is broken, and the substrate DNA is detached from the active site of the DNA polymerase.

Abstract: A low-damage processing device for complex microstructure by hybrid laser-ultrasonic processing in a steady flow area belongs to the field of precision special processing technology, and the device includes: a base, a workpiece clamping sliding table unit, a laser unit, a jet gun unit and a host computer. The workpiece clamping sliding table unit, the laser unit and the jet gun unit are provided on the base. The laser is applied vertically to the surface of workpiece. The jet gun unit emits a high pressure water jet at an angle of 45 degrees to the surface of the workpiece. The base is provided with a waste liquid collection device. The water jet and the laser act on the workpiece surface at the same time. The present disclosure strips the recast layer of the processed surface in real time, and improves the processed quality and performance of workpiece.

Abstract: A method for determining a user experience for an electronic user interface includes defining a test period for testing two or more versions of an electronic user interface, receiving, from each of a plurality of users during the test period, a respective request for the electronic user interface, determining, for each of the plurality of users, a respective version of the two or more versions of the electronic user interface by maximizing test power during the test period while maintaining higher in-test rewards than an A/B test or maximizing the rewards during the test period while maintaining a test power no worse than an A/B test, and causing, for each of the plurality of users, the determined version of the electronic user interface to be delivered to the user.

Abstract: Disclosed herein relates to organic synthesis, and more particularly to a method for preparing a key intermediate for the synthesis of statins. The key intermediate is 2-[(4R,6S)-6-[(benzo[d]thiazol-2-ylthio)methyl]-2,2-disubstituted-1,3-dioxan-4-yl] acetate of formula (I): where R1 is a C1-C8 alkyl group, a C3-C8 cycloalkyl group, a monosubstituted or polysubstituted aryl group, or monosubstituted or polysubstituted aralkyl group; R2 is hydrogen, or monosubstituted or polysubstituted C1-C3 alkyl group, or halogen; and R3 and R4 are each independently a C1-C5 alkyl group, a C3-C7 cycloalkyl group, a C3-C7 cycloalkenyl group, a C1-C3 alkoxy group, a C6-C10 aryl group, or C7-C12 aralkyl group. In the method, a halomethyl compound and a thiol reagent are subjected to nucleophilic substitution in an organic solvent to synthesize a thioether, which then undergoes ketal exchange reaction with a carbonyl compound (V) in the presence of an organic acid to obtain a target product.

Abstract: A method for machine learning-based classification may include training a machine learning model with a full training data set, the full training data set comprising a plurality of data points, to generate a first model state of the machine learning model, generating respective embeddings for the data points in the full training data set with the first model state of the machine learning model, applying a clustering algorithm to the respective embeddings to generate one or more clusters of the embeddings, identifying outlier embeddings from the one or more clusters of the embeddings, generating a reduced training data set comprising the full training data set less the data points associated with the outlier embeddings, training the machine learning model with the reduced training data set to a second model state, and applying the second model state to one or more data sets to classify the one or more data sets.

Abstract: A full continuous-flow preparation method of (+)-biotin, including: subjecting a cyclic anhydride and a chiral biphenyl propylene glycol to asymmetric ring-opening reaction to produce a first intermediate, which undergoes selective reduction with a borohydride and cyclization with an inorganic mineral acid to produce (3aS, 6aR)-lactone; subjecting the (3aS, 6aR)-lactone and a sulfenylating reagent to sulfenylation to produce (3aS, 6aR)-thiolactone, which undergoes Fukuyama coupling with a zinc reagent in the presence of a palladium catalyst and elimination reaction in the presence of an inorganic mineral acid to produce an alkenyl valerate compound; subjecting the alkenyl valerate compound to reduction in the presence of a Pd/C catalyst to produce a valerate ester, which undergoes hydrolysis to produce a valeric acid salt; and subjecting the valeric acid salt to debenzylation in the presence of an inorganic mineral acid to produce the target product (+)-biotin.