Abstract: The present invention discloses a maleic anhydride modified voltage stabilizer, a preparation method, and use thereof, which belongs to the technical field of high voltage and insulation. The present invention discloses a maleic anhydride modified voltage stabilizer represented by Formula 1 and a preparation method thereof. (1) Maleic anhydride and 2,4-dihydroxybenzophenone are dissolved in tetrahydrofuran to obtain a mixture. (2) In a protective gas atmosphere, the mixture obtained in step (1) is added with a catalyst and stirred, centrifuged with added water, and an obtained precipitate is dried, thereby achieving the maleic anhydride modified voltage stabilizer. The present invention also provides the use of the maleic anhydride modified voltage stabilizer in a cross-linked polyethylene high voltage AC cable insulating material.

Abstract: A method of operating a vehicle to anything, V2X, application enabler, VAE, server is provided according to some embodiments disclosed herein. The method includes receiving a registration request message from a V2X application specific server. The method further includes transmitting a registration response message to the V2X application specific server responsive to receiving the registration request message.

Abstract: A waveguide structure and a manufacturing method thereof, and a photonic integrated circuit and a manufacturing method thereof are disclosed. The waveguide structure and the manufacturing method thereof include: forming a first material layer; forming a first waveguide and a second waveguide based on the first material layer, wherein the first waveguide and the second waveguide are spaced apart from each other; forming a second material layer; and forming a waveguide coupling structure based on the second material layer, wherein the waveguide coupling structure is optically coupled to the first waveguide and the second waveguide respectively, to optically connect the first waveguide and the second waveguide.

Abstract: A method for evaluating a degassing effect of a cross-linked polyethylene cable, includes: acquiring a cable sample to be detected; heating the cable sample to be detected; under a darkroom condition, acquiring at least one light spot image of said transparent cable sample under irradiation of a monochromatic laser light source; extracting light intensity data of the at least one light spot image in a preset light spot image range; normalizing the light intensity data, and obtaining the maximum value and an average value of normalized light intensity coefficients of said transparent cable sample in a preset thickness range of the insulating layer; calculating a degassing uniformity coefficient according to the maximum value and the average value; and obtaining an evaluation result of the degassing effect of the cross-linked polyethylene cable according to the maximum value, the average value, and the degassing uniformity coefficient.

Abstract: Techniques for securely storing and processing data for training data generation are provided. In one technique, multiple encrypted records are retrieved from a first persistent storage. For each encrypted record, that record is decrypted in memory to generate a decrypted record that comprises multiple attribute values. Then, based on the attribute values and a definition of multiple features of a machine-learned model, multiple feature values are generated and stored, along with a label, in a training instance, which is then stored in a second persistent storage. One or more machine learning techniques are used to train the machine-learned model based on training data that includes the training instances that are stored in the second persistent storage.

Abstract: The present application discloses a method for preparing polyester polyol comprising performing transesterification of raw materials containing inorganic oxyacid ester and polyhydric alcohol to obtain the polyester polyol. The polyester polyol obtained by the method described in the present application has higher heat resistance.

Abstract: A functional polymer, an electrode slurry, an electrode plate, a battery and a power consuming device are described. The functional polymer comprises structural units represented by formula (A), formula (B) and formula (C). The functional polymer can increase the dispersion stability of the electrode slurry and also have the function of toughening, so as to increase the dispersion uniformity of the components in an electrode active layer while increasing its toughness, and further increase the cycling stability of the battery.

Abstract: An electrode plate, which includes a current collector and an active material layer arranged on at least one surface of the current collector. The active material layer includes an electrode active material and a softener. The softener includes one or more of A diblock copolymer A-B and a triblock copolymer A-B-A, where block A includes a polyether segment, and block B includes one or more of a polyamide segment, a polyvinylpyrrolidone segment and a polyacrylonitrile segment.

Abstract: The present application provides a dispersant and a preparation method thereof, a slurry composition and a preparation method thereof, an electrode, and an apparatus containing the electrode plate. The dispersant includes a block copolymer having a first block and a second block, the first block includes a first repeating structural unit shown in Formula I) and a second repeating structural unit shown in Formula II), and the second block includes a third repeating structural unit shown in Formula III) and a fourth repeating structural unit shown in Formula IV), in which n is any integer from 1-25, R1 to R7 are independently selected from hydrogen, halogen, cyano, carbonyl, carboxy, nitro, sulfonyl, amide, ester, substituted or unsubstituted C1-C15 alkyl or alkoxy, and substituted or unsubstituted C6-C30 aryl and R8, R9, and R10 have a dipole moment of greater than 2×10?30 C·m.

Abstract: In an embodiment, a method comprises: capturing, by one or more microphone arrays of a vehicle, sound signals in an environment; extracting frequency spectrum features from the sound signals; predicting, using an acoustic scene classifier and the frequency spectrum features, one or more siren signal classifications; converting the one or more siren signal classifications into one or more siren signal event detections; computing time delay of arrival estimates for the one or more detected siren signals; estimating one or more bearing angles to one or more sources of the one or more detected siren signals using the time delay of arrival estimates and a known geometry of the microphone array; and tracking, using a Bayesian filter, the one or more bearing angles. If a siren is detected, actions are performed by the vehicle depending on the location of the emergency vehicle and whether the emergency vehicle is active or inactive.

Abstract: A metal-organic framework (MOF) MIL-125 and a preparation method and a use thereof are provided. The MOF MIL-125 is a round cake-like crystal and has an external specific surface area (SSA) of 160 m2/g to 220 m2/g. The MOF MIL-125 provided in the present application has a large number of microporous structures, a large external SSA, and a high catalytic activity in oxidation.

Abstract: An adsorbent and a use thereof are provided. The adsorbent is a metal-organic framework (MOF) MIL-125; the MOF MIL-125 has an external specific surface area (SSA) of 160 m2/g to 220 m2/g; and the MOF MIL-125 includes a micropore with an area of 1,000 m2/g to 1,500 m2/g. The external SSA of the MOF MIL-125 is much higher than an external SSA of the traditional MIL-125, which has promising application prospects in the adsorptive separation of xylene isomers and exhibits high selectivity for p-xylene.

Abstract: A preparation method of a porous oxide is provided, which includes: preparing the porous oxide with a polyester polyol as a raw material. The porous oxide prepared by the preparation method in the present application has characteristics such as uniform and adjustable pore sizes and controllable distribution of mesopores, micropores, and macropores.

Abstract: Disclosed are computer systems and techniques for authenticating a passenger of an autonomous vehicle and operating doors of the autonomous vehicle. For passenger authentication, the computer system is configured to receive a ride request, generate a passcode, transmit the passcode to a user account and the autonomous vehicle, authenticate the user using the passcode, and enable departure of the autonomous vehicle. For door operation, the computer system is configured to detect environmental conditions surrounding an autonomous vehicle, determine based on a set of operational conditions whether one or more doors of the autonomous vehicle are desirable for use, and operate a door if the door is safe to operate and desirable for operation.

Abstract: Disclosed are computer systems and techniques for authenticating a passenger of an autonomous vehicle and operating doors of the autonomous vehicle. For passenger authentication, the computer system is configured to receive a ride request, generate a passcode, transmit the passcode to a user account and the autonomous vehicle, authenticate the user using the passcode, and enable departure of the autonomous vehicle. For door operation, the computer system is configured to detect environmental conditions surrounding an autonomous vehicle, determine based on a set of operational conditions whether one or more doors of the autonomous vehicle are desirable for use, and operate a door if the door is safe to operate and desirable for operation.

Abstract: Among other things, we describe systems and method for implementing data security in an autonomous vehicle system. The systems and methods can include inter-process communication security via key management, in which asymmetric cryptography and other validation techniques are used to validate data received from sensors. The systems and method can also include penetrative testing, in which valid sensor inputs are modified and transmitted throughout a distributed network through one or more sensors.

Abstract: A catalyst for pyrolysis of 1,2-dichloroethane (1,2-DCE) to prepare vinyl chloride monomer (VCM), a preparation method, a use, and a regeneration method thereof are provided. The catalyst for pyrolysis of 1,2-DCE to prepare VCM includes a silicon-aluminum molecular sieve. The catalyst for pyrolysis of 1,2-DCE to prepare VCM has high reaction activity and excellent selectivity and solves the problem that the pyrolysis of 1,2-DCE to prepare VCM in the prior art involves high reaction temperature and large energy consumption and is prone to coking and carbon deposition.

Abstract: Among other things, we describe systems and method for implementing data security in an autonomous vehicle system. The systems and methods can include inter-process communication security via key management, in which asymmetric cryptography and other validation techniques are used to validate data received from sensors. The systems and method can also include penetrative testing, in which valid sensor inputs are modified and transmitted throughout a distributed network through one or more sensors.

Abstract: In an embodiment, a method comprises: capturing, by one or more microphone arrays of a vehicle, sound signals in an environment; extracting frequency spectrum features from the sound signals; predicting, using an acoustic scene classifier and the frequency spectrum features, one or more siren signal classifications; converting the one or more siren signal classifications into one or more siren signal event detections; computing time delay of arrival estimates for the one or more detected siren signals; estimating one or more bearing angles to one or more sources of the one or more detected siren signals using the time delay of arrival estimates and a known geometry of the microphone array; and tracking, using a Bayesian filter, the one or more bearing angles. If a siren is detected, actions are performed by the vehicle depending on the location of the emergency vehicle and whether the emergency vehicle is active or inactive.

Abstract: The disclosed embodiments provide a system that identifies duplicate entities. During operation, the system selects training data for a first machine learning model based on confidence scores representing likelihoods that pairs of entities in an online system are duplicates. Next, the system updates parameters of the first machine learning model based on features and labels in the training data. The system then identifies a first subset of additional pairs of the entities as duplicate entities based on scores generated by the first machine learning model from values of the features for the additional pairs and a first threshold associated with the scores. The system also determines a canonical entity in each of the duplicate entities based on additional features. Finally, the system updates content outputted in a user interface of the online system based on the identified first subset of the additional pairs.