Abstract: Embodiments described herein relate to apparatuses and methods for brewing tea via pods. The pods can be configured to work with existing pod-based espresso machines to build up pressure within the pod thereby enabling better brewing of teas (e.g., matcha, chai, etc.). The pods can have interlocking ribs or tabs configured to interface with the espresso machine to prevent leakage during the brewing process. The pods can be completely biodegradable (e.g., compostable). In some embodiments, the pods can include bilayer films/meshes disposed at the top and bottom of the body of the pod. In some embodiments, the bilayer films include non-woven PLA fabrics and papers with specific mesh sizes configured to allow the existing espresso machines to pierce the films and enable brewing of the teas. The tea powders (e.g., matcha powder) disposed within the pods have specific meshes to enable proper dispersion in water without agglomeration of the matcha particles in the finished beverage.

Abstract: The present invention discloses a method for diagnosing micro-short circuit fault of a battery, comprising: acquiring real-time voltage data of each battery in battery module of electric vehicle, obtaining voltage matrix after noise elimination; calculating dynamic reference voltage sequence of the each battery in the voltage matrix within sliding window length, extracting eigenvalues of the each battery at different times; calculating correlation coefficients between voltages of the each battery at different times and reference voltage within the sliding window; forming feature point matrix of the battery module based on the eigenvalues and the correlation coefficients; calculating dynamic reference feature point sequence based on the feature point matrix, and calculating improved Frechet distances between feature point sequences of the each battery and the dynamic reference feature point sequence, using Frechet distance values as anomaly scores of the each battery; thus, judging whether a short-circuit faul

Abstract: The present disclosure relates to anti-CD3 and anti-CD38 antibodies or antigen-binding fragments thereof. The present disclosure also relates to bispecific antibodies targeting both CD3 and CD8. To expand the therapeutic index, the bispecific antibodies may contain masking domains to minimize systemic toxicity. The unmasking of the shielded bispecific antibodies occurs predominantly by proteases and enzymes in the tumor microenvironment or in the disease tissues. The present disclosure also provides a unique design that employs a human VHO single domain molecule linked to the hinge region of an antibody, which may allow better tissue penetration than conventional antibodies.

Abstract: A system, apparatus and method are provided for robotically assisting the harvest of a crop. Instrumented picker carts include sensors for detecting amounts of harvested crop (e.g., fill ratios) of containers carried by the carts, communication modules for communicating their locations and detected crop amounts to a field computer, and components for signaling for robotic service. The field computer predicts when a cart that requests service will have a full container and where it will be located at that time, then decides whether to approve the request. If the request is approved, a robot is assigned and is given (or generates) a path to the cart's predicted location, and begins moving toward the location so as to arrive near (and preferably before) the predicted time. Robots include means for moving (e.g., wheels, motors, steering components, power sources), navigation modules, computing components for controlling their movement, and communication modules.

Abstract: A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Abstract: A system, apparatus and method are provided for robotically assisting the harvest of a crop. Instrumented picker carts include sensors for detecting amounts of harvested crop (e.g., fill ratios) of containers carried by the carts, communication modules for communicating their locations and detected crop amounts to a field computer, and components for signaling for robotic service. The field computer predicts when a cart that requests service will have a full container and where it will be located at that time, then decides whether to approve the request. If the request is approved, a robot is assigned and is given (or generates) a path to the cart's predicted location, and begins moving toward the location so as to arrive near (and preferably before) the predicted time. Robots include means for moving (e.g., wheels, motors, steering components, power sources), navigation modules, computing components for controlling their movement, and communication modules.

Abstract: A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Abstract: Computer-implemented systems and methods for optimizing product recommendations are disclosed and may be configured to receive a request to generate a list of one or more product identifiers mapped to one or more candidate customer identifiers, generate a seed customer identifier list based on retrieved seed data, input the seed customer identifier list and retrieved attribute data into a first engine including a machine learning model, generate a plurality of values to select one or more attributes of the attribute data, generate a plurality of feature vectors, calculate a similarity score for a set of the plurality of feature vector pairs, generate a set of customer identifier pairs, and generate the list of one or more product identifiers mapped to one or more candidate customer identifiers based on the generated set of customer identifier pairs, the seed customer identifier list, and one or more predetermined rules.

Abstract: A method for targeting advertising includes receiving, at a first server, customer action information associated with the customer, and receiving a plurality of advertising campaigns. The method also includes generating, using a first algorithm, a list of products derived from the customer action information that the customer may have interest in over a first time period, and generating, using a second algorithm, a ranked list of product categories derived from the customer action information that, if purchased by the customer, would generate a highest amount of revenue over a second time period. The method further includes sending a first communication associated with a first advertising campaign of the plurality of advertising campaigns to a customer device, the first advertising campaign chosen by a third algorithm that incorporates, as input, the list of products and the ranked list of product categories.

Abstract: A system, apparatus and method are provided for robotically assisting the harvest of a crop. Instrumented picker carts include sensors for detecting amounts of harvested crop (e.g., fill ratios) of containers carried by the carts, communication modules for communicating their locations and detected crop amounts to a field computer, and components for signaling for robotic service. The field computer predicts when a cart that requests service will have a full container and where it will be located at that time, then decides whether to approve the request. If the request is approved, a robot is assigned and is given (or generates) a path to the cart's predicted location, and begins moving toward the location so as to arrive near (and preferably before) the predicted time. Robots include means for moving (e.g., wheels, motors, steering components, power sources), navigation modules, computing components for controlling their movement, and communication modules.

Abstract: A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Abstract: A delivery coordination system selects restaurant listings for presentation to a user by filtering out restaurants that are unlikely to be of interest to the user, while ensuring that restaurant listings are selected to encourage the success of all restaurants using the delivery coordination system. In response to receiving the listings request from a client device, the delivery coordination system selects a filtered set of restaurant listings from the plurality of restaurant listings stored by the delivery coordination system by applying filtering criteria to the plurality of stored restaurant listings. The delivery coordination system generates conversion scores for the restaurant in the filtered set of restaurant listings and selects restaurant listings to present to the user from the filtered set of restaurant listings based on selection factors, which can include the generated conversion scores. The delivery coordination system transmits the selected restaurant listings to the client device.

Abstract: Embodiments of the present disclosure provide an information processing method performed at a mobile terminal. The mobile terminal receives a skill casting request of a first virtual object sent by a first client for requesting to cast a first skill; determines a quantity of virtual objects within a field of view of the first virtual object in a virtual scene; selects a target virtual object from the field of view of the first virtual object if the quantity of virtual objects is greater than a predetermined threshold, a quantity of target virtual objects corresponding to the predetermined threshold; and determines a first broadcast notification generated in response to the skill casting request, and sends the first broadcast notification to a client of the target virtual object, the first broadcast notification being used for instructing to present an action of casting the first skill by the first virtual object.

Abstract: A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Abstract: Provided is a mobile phone packaging box, comprising: a first packaging box cover (1), a second packaging box cover (2), a mobile phone tray (3) for clamping and fixing a mobile phone and an organic lens (4), wherein a first hole for eye observation and a second hole for avoiding the nose are provided in the first packaging box cover (1) or the second packaging box cover (2). The organic lens (4) are fixed in a position corresponding to the first hole at the first packaging box cover (1) or the second packaging box cover (2) with the first hole. The mobile phone packaging box is not only of low cost, but also has high experience, and can be used repeatedly.

Abstract: A delivery coordination system selects restaurant listings for presentation to a user by filtering out restaurants that are unlikely to be of interest to the user, while ensuring that restaurant listings are selected to encourage the success of all restaurants using the delivery coordination system. In response to receiving the listings request from a client device, the delivery coordination system selects a filtered set of restaurant listings from the plurality of restaurant listings stored by the delivery coordination system by applying filtering criteria to the plurality of stored restaurant listings. The delivery coordination system generates conversion scores for the restaurant in the filtered set of restaurant listings and selects restaurant listings to present to the user from the filtered set of restaurant listings based on selection factors, which can include the generated conversion scores. The delivery coordination system transmits the selected restaurant listings to the client device.

Abstract: A delivery coordination system selects restaurant listings for presentation to a user by filtering out restaurants that are unlikely to be of interest to the user, while ensuring that restaurant listings are selected to encourage the success of all restaurants using the delivery coordination system. In response to receiving the listings request from a client device, the delivery coordination system selects a filtered set of restaurant listings from the plurality of restaurant listings stored by the delivery coordination system by applying filtering criteria to the plurality of stored restaurant listings. The delivery coordination system generates conversion scores for the restaurant in the filtered set of restaurant listings and selects restaurant listings to present to the user from the filtered set of restaurant listings based on selection factors, which can include the generated conversion scores. The delivery coordination system transmits the selected restaurant listings to the client device.

Abstract: A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Abstract: Embodiments of the present disclosure provide an information processing method performed at a mobile terminal. The mobile terminal receives a skill casting request of a first virtual object sent by a first client for requesting to cast a first skill; determines a quantity of virtual objects within a field of view of the first virtual object in a virtual scene; selects a target virtual object from the field of view of the first virtual object if the quantity of virtual objects is greater than a predetermined threshold, a quantity of target virtual objects corresponding to the predetermined threshold; and determines a first broadcast notification generated in response to the skill casting request, and sends the first broadcast notification to a client of the target virtual object, the first broadcast notification being used for instructing to present an action of casting the first skill by the first virtual object.