Abstract: A bionic robot is provided, which includes a body; a plurality of sets of wheeled leg devices arranged at intervals in a front-rear direction, each comprising two wheeled leg devices arranged symmetrically in a left-right direction, each comprising a leg assembly and a travel wheel, and a power output shaft connected to the travel wheel; and a suspension device disposed in the body and connected to at least two sets from the plurality of sets of wheeled leg devices. The at least two sets of wheeled leg devices are located at the foremost end and the backmost end respectively. The suspension device comprises a plurality of drive assemblies, each connected to a corresponding leg assembly, which each comprise: an electric cylinder being configured to drive a telescopic rod to extend or retract; a damper connected between the body and the leg assembly; and an elastic member fitted over the damper.

Abstract: Through an intermediate I (a compound having the structural formula as shown in the formula Ia and/or the formula Ib), or a pharmaceutically acceptable salt thereof, or a solvate thereof, and a tautomer Ic of Ib, a bicyclopyrone intermediate II with a high yield can be prepared. Two compounds are docked first under the action of a base to produce an intermediate I, and then the intermediate I is subjected to intramolecular ring closure by an ammonium salt, which can increase the yield of the bicyclopyrone intermediate (II), reduce side reactions, and reduce problems that a reaction of raw materials is easily incomplete due to intramolecular ring closure directly through an ammonium salt. A one-pot method includes producing an intermediate I under the action of a base and then performing a ring-closure reaction to produce a bicyclopyrone intermediate (II) that reduces side reactions, and further increases the yield.

Abstract: In one embodiment, a method includes receiving, at a proxy application on a first computing device, a request from a first application on the first computing device to access a resource. The method further includes transmitting, from the proxy application on the first computing device, a modified version of the request to a proxy application on a second computing device and receiving, from the proxy application on the second computing device, a response comprising data from the requested resource, where the resource is on the second computing device. The method further includes transmitting, to the first application on the first computing device, a response satisfying the first application's request to access the resource.

Abstract: The disclosure belongs to the technical field of photoelectric emission in semiconductors, and discloses an electro-absorption modulated laser chip and a fabrication method thereof, which can solve the problems of signal distortion caused by optical crosstalk between components in an existing electro-absorption modulated laser (EML) integrated with a semiconductor optical amplifier (SOA), and failure in longer-distance transmission.

Abstract: The disclosure belongs to the technical field of photoelectric emission in semiconductors, and discloses an electro-absorption modulated laser chip and a fabrication method thereof, which can solve the problems of signal distortion caused by optical crosstalk between components in an existing electro-absorption modulated laser (EML) integrated with a semiconductor optical amplifier (SOA), and failure in longer-distance transmission.

Abstract: Disclosed in the present disclosure are a method for training a multi-task model through multi-task reinforcement learning, an apparatus, an electronic device and a non-transitory computer readable storage medium. A method for training a multi-task model through multi-task reinforcement learning, including: acquiring observation signals observed for an environment by an agent; receiving T instructions each for instructing the agent to perform one of T tasks, T being a preset positive integer greater than 1; and generating K base policy models by performing training through multi-task reinforcement learning over a neural network based on the observation signals and the T instructions, wherein the K base policy models are combinable for generating respective task policy models for the T tasks to obtain the multi-task model for achieving the T tasks.

Abstract: The present disclosure relates to the technical field of daily necessities, and provides a urinal, a squatting pan and a pedestal pan. The special urinal comprises a urinal, a sewage discharge port, a water inlet and a water outlet hole. The urinal has a first end adjacent to the sewage discharge port and a second end away from the sewage discharge port; the sewage discharge port is provided at the bottom of the urinal, the water outlet hole is communicated with the water inlet, the urinal is internally provided with a protruding portion that is used for being opposite to the anus of a user; one end of the protruding portion extends to the bottom of the urinal; and the water outlet hole is used for flushing the protruding portion. The present disclosure aims to solve the defect in the prior art that a female urinal cannot distinguish stool from urine.

Abstract: The present disclosure relates to the technical field of daily necessities, and provides a urinal, a squatting pan and a pedestal pan. The special urinal comprises a urinal, a sewage discharge port, a water inlet and a water outlet hole. The urinal has a first end adjacent to the sewage discharge port and a second end away from the sewage discharge port; the sewage discharge port is provided at the bottom of the urinal, the water outlet hole is communicated with the water inlet, the urinal is internally provided with a protruding portion that is used for being opposite to the anus of a user; one end of the protruding portion extends to the bottom of the urinal; and the water outlet hole is used for flushing the protruding portion. The present disclosure aims to solve the defect in the prior art that a female urinal cannot distinguish stool from urine.

Abstract: Described herein are embodiments for fast training of adversarially robust models against adversarial attacks. Embodiments for model training by perturbing both the image and the label, which may be referred to as Bilateral Adversarial Training (BAT), are disclosed. To generate the adversarial label, one or more closed-form heuristic solutions are derived. One-step targeted attack is used with the target label being the most confusing class. It is shown in various experiments that random start and the most confusing target attack effectively prevent the label leaking and gradient masking problem. Coupled with the adversarial label part, embodiments of presented models significantly improve the state-of-the-art results. Experiments on one or more computationally challenging dataset also demonstrate the effectiveness of the presented BAT method embodiments.

Abstract: In one embodiment, a method includes receiving, at a proxy application on a first computing device, a request from a first application on the first computing device to access a resource. The method further includes transmitting, from the proxy application on the first computing device, a modified version of the request to a proxy application on a second computing device and receiving, from the proxy application on the second computing device, a response comprising data from the requested resource, where the resource is on the second computing device. The method further includes transmitting, to the first application on the first computing device, a response satisfying the first application’s request to access the resource.

Abstract: Described herein are embodiments for a feature-scattering-based adversarial training approach for improving model robustness against adversarial attacks. Conventional adversarial training approaches leverage a supervised scheme, either targeted or non-targeted in generating attacks for training, which typically suffer from issues such as label leaking as noted in recent works. Embodiments of the disclosed approach generate adversarial images for training through feature scattering in the latent space, which is unsupervised in nature and avoids label leaking. More importantly, the presented approaches generate perturbed images in a collaborative fashion, taking the inter-sample relationships into consideration. Extensive experiments on different datasets compared with state-of-the-art approaches demonstrate the effectiveness of the presented embodiments.

Abstract: A side-open left-right-door arbitrary-opening structure of a refrigerator comprises four hinge shafts are fixedly connected at left and right sides of a refrigerator body in pairs respectively, left and right sides of upper and lower end faces of a refrigerator door are all provided with an opening neck, each hinge shaft is correspondingly placed in one opening neck, four hinge shaft stoppers are slidably arranged on the upper and lower end faces of the refrigerator door in pairs respectively, one spring is arranged between two hinge shaft stoppers in each pair, tail ends of the hinge shaft stoppers on the upper and lower end faces of the refrigerator door extend into the opening necks at the corresponding sides, and the hinge shafts at the corresponding sides are positioned in the opening necks.

Abstract: The present disclosure provides an innovative method for improving the enzyme activity of an NMN biosynthetic enzyme Nampt, and relates to the technical field of genetic engineering. A mutant protein of the present disclosure is obtained by firstly analyzing a target protein Nampt using two softwares FoldX and DeepDDG, and then predicting multiple key sites influencing the enzyme functions and finally performing the semi-rational design of the enzyme. In the examples of the present disclosure, 10 mutant strains are constructed using the designed primers according to the principle of point mutation, and 8 of the mutants have higher activity than a wild-type strain, in which the NMN yield of the mutant Nampt-V365L is increased by 62%, and the NMN yields of the mutants Nampt-S248A, Nampt-N164L, Nampt-S382M, Nampt-A245T and Nampt-A208G are increased by 34%, 27%, 27%, 22% and 17% respectively.

Abstract: The present disclosure provides an innovative method for improving the enzyme activity of an NMN biosynthetic enzyme Nampt, and relates to the technical field of genetic engineering. A mutant protein of the present disclosure is obtained by firstly analyzing a target protein Nampt using two softwares FoldX and DeepDDG, and then predicting multiple key sites influencing the enzyme functions and finally performing the semi-rational design of the enzyme. In the examples of the present disclosure, 10 mutant strains are constructed using the designed primers according to the principle of point mutation, and 8 of the mutants have higher activity than a wild-type strain, in which the NMN yield of the mutant Nampt-V365L is increased by 62%, and the NMN yields of the mutants Nampt-S248A, Nampt-N164L, Nampt-S382M, Nampt-A245T and Nampt-A208G are increased by 34%, 27%, 27%, 22% and 17% respectively.

Abstract: The present disclosure provides an innovative method for improving the enzyme activity of an NMN biosynthetic enzyme Nampt, and relates to the technical field of genetic engineering. A mutant protein of the present disclosure is obtained by firstly analyzing a target protein Nampt using two softwares FoldX and DeepDDG, and then predicting multiple key sites influencing the enzyme functions and finally performing the semi-rational design of the enzyme. In the examples of the present disclosure, 10 mutant strains are constructed using the designed primers according to the principle of point mutation, and 8 of the mutants have higher activity than a wild-type strain, in which the NMN yield of the mutant Nampt-V365L is increased by 62%, and the NMN yields of the mutants Nampt-S248A, Nampt-N164L, Nampt-S382M, Nampt-A245T and Nampt-A208G are increased by 34%, 27%, 27%, 22% and 17% respectively.

Abstract: The present disclosure provides an Enterobacter chengduensis for producing NMN and application thereof, and relates to the technical field of screening and application of strains. The Enterobacter chengduensis of the present disclosure is determined as a Gram-negative bacterium and belongs to the genus Enterobacter chengduensis. When the Enterobacter chengduensis is used for producing the NMN by fermentation with the nicotinamide as a substrate, the yield of the NMN can reach 67.66 ?M, namely 22.6 mg/L, at 15 minutes, indicating that the wild strain has a strong activity to synthesize the NMN, the dependence on Nampt during synthesis of the NMN is reduced, and a high large-scale application prospect is achieved.

Abstract: Described herein are systems and methods for grounded natural language learning in an interactive setting. In embodiments, during a learning process, an agent learns natural language by interacting with a teacher and learning from feedback, thus learning and improving language skills while taking part in the conversation. In embodiments, a model is used to incorporate both imitation and reinforcement by leveraging jointly sentence and reward feedback from the teacher. Various experiments are conducted to validate the effectiveness of a model embodiment.

Abstract: A method for displaying a skin of a virtual character includes: displaying a matchmaking user interface (UI) for matching k user accounts online for gaming in the same virtual world, k being a positive integer; obtaining a customization parameter of a customized skin model of a target virtual character from a server when the target virtual character is present in virtual characters used by the k user accounts; loading n target skin component materials of the customized skin model according to the customization parameter, n being a positive integer; and displaying a gaming UI. The customized skin model is one of complete skin set models corresponding to the target virtual character and includes n skin components in a same style. The gaming UI includes the target virtual character located in the virtual world, the target virtual character wearing the customized skin model.

Abstract: Disclosed are an analog-to-digital conversion circuit, an analog-to-digital conversion device, and a digital x-ray imaging system. The analog-to-digital conversion circuit includes a first reference voltage source, a second reference voltage source, a first analog-to-digital converter connected to the first reference voltage source, a second analog-to-digital converter connected to the second reference voltage source, a connecting circuit connected to the first analog-to-digital converter and the second analog-to-digital converter, respectively, and a current source having negative temperature coefficient configured to be connected to the first reference voltage source and the second reference voltage source, respectively.