Abstract: The present invention relates to the treatment of subjects having B cell proliferative disorders, including high grade B-cell lymphomas, as well as non-Hodgkin's lymphomas, such as diffuse large B-cell lymphomas. More specifically, the invention pertains to the treatment of subjects having a B cell proliferative disorder by intravenous administration of an anti-CD20/anti-CD3 bispecific antibody.

Abstract: Listwise autocomplete ranking with position debias is described. A computing system can receive a user input indicative of a portion of a search query. The computing system can receive a set of candidate queries for an autocomplete list based on the portion of the search query. The computing system can generate a respective ranking score for each candidate query of the set of candidate queries by calculating, for each candidate query of the set of candidate queries, a respective click probability prediction using a position debiased listwise click-through rate (CTR) prediction model, and calculating, for each candidate query of the set of candidate queries, a respective reward per search. The computing system can order the set of candidate queries according to the respective ranking scores. The computing system can output at least one of the candidate queries based on the ordered set of candidate queries.

Abstract: A link layer architecture for D2D interconnections or communications. The architecture includes a self-contained D2D module that is capable of receiving data in multiple input bus protocols and transferring that data through a physical layer connection to another chiplet. The D2D module is a self-contained base block used to transfer data across dies. It includes a transmit (Tx) section/logic and a receive (Rx) section/logic. Each section/logic forms a building block that can be used to transfer data between dies or chiplets.

Abstract: The disclosure provides methods for treating small cell lung cancer (SCLC) in a subject expressing human delta-like ligand 3 (DLL3) protein. The methods comprise administering to the subject an antigen-binding molecule comprising at least a first binding domain that binds to human DLL3, wherein at least 25% of the SCLC cells express DLL3, or wherein at least 25% of the SCLC cells express DLL3 at an intensity equal to or greater than 2+ as determined by an IHC assay.

Abstract: Methods and devices are described that enable decentralized, cooperative training of a machine learning model in a communication network, while limiting exposure of sensitive local data. A first node has a local model trained on local data, and receives one or more other models from one or more other nodes in the communication network. The first node performs model aggregation to generate an aggregated model from the received other models. The local model is replaced with the aggregated model and/or the aggregated model is transmitted to at least one other node in the communication network.

Abstract: A method for controlling switching of a power device from off-grid operation to grid-connected operation is provided. When a power grid is powered on, a given angular frequency difference required by a voltage-controlled oscillator when a phase of an off-grid output voltage is corrected to a phase of a power grid voltage is directly calculated based on an output phase of the power device in an off-grid mode and a preset angular frequency, and an integral result of a PI controller of a phase-locked loop (PLL) is initially assigned based on the given angular frequency difference. Then the PLL is controlled to start operating, an oscillation angular frequency of the voltage-controlled oscillator is configured based on an output of the PI controller and a preset power grid frequency, and the power device is controlled to connect to the power grid.

Abstract: According to implementations of the subject matter described herein, a solution is proposed for auto-suggesting. In this solution, a trigger indication for suggesting is provided based on an input sentence. In response to the trigger indication being confirmed, a suggestion for the sentence is provided and the suggestion comprises one or more rich objects. In response to a selection of the suggestion, supplementary information for supplementing the sentence is provided based on at least one selected rich object. In this way, various auto-suggestions comprising rich objects may be provided, and thus rich supplementary information may be provided to supplement the input sentence to enhance the user experience.

Abstract: A combined refrigerator and air conditioner unit sharing a single compressor comprises a compressor, a condenser, an air conditioner evaporator, a refrigerator evaporator, a four-way reversing valve, and a three-way valve. One end of the condenser, the air conditioner evaporator, and the refrigerator evaporator is arranged in parallel via the three-way valve, while the other end of these components is connected to the compressor through the four-way reversing valve. A first throttling valve is arranged between the air conditioner evaporator and the three-way valve, and second throttling valves are arranged respectively between the refrigerator evaporator and the three-way valve. By using a single compressor and condenser in combination with the four-way reversing valve, as well as the first and second throttling valves, this configuration enables the single compressor to simultaneously support the refrigeration functions of both the air conditioner and the refrigerator.

Abstract: A data processing device incorporates a plurality of chiplets having working elements such as processing and memory elements. At least one of the working elements is operative to generate messages directed to working elements of the same chiplet or another one of the chiplets. Each message includes a global address. An evaluation circuit determines whether the global address of a message is within a range of global addresses assigned to the chiplet. If so, the message passes to a translation circuit which translates the message to a local address for routing to a working element of the chiplet. If not, the message is dispatched to one or more other chiplets.

Abstract: Methods, systems, and computer storage media for providing an advertising campaign management engine in an artificial intelligence system are described. Advertising campaign management refers to the process of planning, executing, monitoring, and optimizing advertising campaigns. Operationally, first, high-conversion design modeling and mining analyzes performance data and user preferences to identify design elements—such as image style and text layout—that drive engagement. Second, design requirement generation converts ad optimization profiles into structured prompts that guide the refinement of ad designs. Lastly, design fine-tuning leverages advanced generative models to adjust ad elements, such as images and layouts, based on the generated requirements. The advertising campaign management engine supports an iterative process that enables automated updates and optimizations, allowing ads to be tailored to specific demographics.

Abstract: An image description method includes obtaining an image; obtaining an image description model and a description prompt text, the description prompt text indicating an image description rule for performing image description by the image description model; inputting the description prompt text and the image into the image description model; and performing image description on the image based on the description prompt text through the image description model, to obtain a first image description text that conforms to the image description rule. The description prompt text is obtained by correcting an initial prompt text corresponding to the image description rule based on a first text difference between a sample image description text and a predicted image description text. The sample image description text is obtained based on a sample image and the image description rule.

Abstract: The present disclosure provides compositions comprising novel mass tags. The disclosure also provides methods utilizing mass tags, including methods of quantifying one or more individual lipids from a composition of lipids, methods of identifying a double bond position of an individual lipid, methods of identifying a biological correlation of an individual lipid, and methods of preparing a lipid derivative.

Abstract: A dual-chamber air pump comprises: a housing; a cover body; an air port control motor; a first valve and a second valve; a brushless motor; and an air channel switching member. the air port control motor controls the first and second valves to regulate the first and second air ports, effectively achieving the selective opening of either the first or second air port. Within limited space, a single brushless motor can inflate and deflate objects having two or more air chambers, making it suitable for various inflatable pump-type equipment. In addition, compared to existing structures, this invention does not require manual rotation or tools, and instead directly controls the first and second valves via the air port control motor. As a result, it offers a high degree of automation, ease of use, and excellent applicability.

Abstract: Described herein are novel methods of preparing sphingosines and glycosylated sphingosines. A method of preparing a glycosylated sphingosine as described herein includes an efficient, four-step route for synthesizing lactosylsphingosine (LacboSph) from Garner's aldehyde. Also described herein is a cost-effective method of synthesizing a variety of glycosylated sphingosines, sphingosines and glycosyl acceptors, including both the d18:1 and d20:1 D-erythro-sphingosines and the d18:1 and d20:1 D-erythro-sphingosine glycosyl acceptors, from xylose.

Abstract: There is provided an information processing apparatus that includes an orientation determination unit that determines an orientation of an object to be followed, and a path generation unit that determines an orientation of a path end point on the basis of the orientation of the object to be followed, the path end point being an end point of a path for a mobile apparatus to follow the object to be followed, and generates the path.

Abstract: Example capacity adjustment methods, computing devices, and computer storage media are provided. One example capacity adjustment method includes creating a scaling group. A first instance is created on a first server set for the scaling group. A second instance is created on a second server set for the scaling group. A quantity of instances deployed on the first server set for the scaling group is limited by an upper limit value.

Abstract: Provided are a method for sequencing polynucleotides based on optical signal kinetics of luminescent labels and secondary luminescent signals, in which different luminescence forms and luminescence timings are applied to distinguish the sequential incorporation of different nucleotides, so as to realize the sequencing of the polynucleotides.

Abstract: According to embodiments of the disclosure, a method, apparatus, device, and a storage medium of request processing are provided. The method includes: in response to a request to call a second workload by a first workload, receiving a first identity token associated with the first workload, the first workload being associated with a first trust domain, the first identity token being generated based on a first authentication protocol corresponding to the first trust domain, and the second workload being associated with a second trust domain; generating a second identity token corresponding to a second authentication protocol based on identity assertion information indicated by the first identity token, the second authentication protocol corresponding to the second trust domain; and sending the second identity token to the first workload, to enable the first workload to call the second workload based on the second identity token.

Abstract: Listwise autocomplete ranking with position debias is described. A computing system can receive a user input indicative of a portion of a search query. The computing system can receive a set of candidate queries for an autocomplete list based on the portion of the search query. The computing system can generate a respective ranking score for each candidate query of the set of candidate queries by calculating, for each candidate query of the set of candidate queries, a respective click probability prediction using a position debiased listwise click-through rate (CTR) prediction model, and calculating, for each candidate query of the set of candidate queries, a respective reward per search. The computing system can order the set of candidate queries according to the respective ranking scores. The computing system can output at least one of the candidate queries based on the ordered set of candidate queries.

Abstract: A computer-implemented technique performs machine learning that bypasses the traditional design of loss functions. The technique includes receiving plural instances of gradient objective information. Each of the plural instances includes a particular combination of plural gradient elements. The technique produces plural sets of machine-trained parameter values using the plural respective instances of gradient objective information. The technique performs this operation based on the plural instances of gradient objective information as given, without calculating the plural instances of gradient objective information using loss functions. The technique then measures performance of the plural sets of machine-trained parameter values in an application system. Based on the measured performance, the technique provides output information that identifies a particular set of machine-trained parameter values that satisfies a prescribed test.