Abstract: A system for extracting and collecting a sample of a fluid of a user, comprising a sample collection device, comprising a sample container arranged to receive said sample; a cap arranged to cooperate with the sample container and having an incision mechanism movable in the cap by a triggering mechanism; a sealing mechanism; a sample extraction device, comprising a vacuum creation mechanism arranged to create vacuum in a vacuum chamber; and a valve control mechanism arranged to release the vacuum from the vacuum chamber to the sample collection device. The system simplifies collection of a fluid (e.g., blood) sample while keeping a high-quality standard for its analysis, minimizes the risk of injury due to handling the sample, reduces the risk of contamination of the collected sample, is compatible with standard blood analysers of central laboratories, requires minimal action from the user, and can collect large volumes of bodily fluid.

Abstract: A computer-implemented method for video sharing is disclosed. A website which hosts multiple users and includes numerous products for sale is accessed. User information is collected and used to match a user with a sales associate. A communications agent is installed on the website which enables an interaction between a website user and a sales associate. The sales associate can be a human or an artificial intelligence agent. The user information is used to predict purchasing intentions of the user. The sales associate can obtain a uniform resource locator (URL) within the website domain based on the purchasing intentions of the user and can direct the user's web browser to the URL, with the user's approval. The directing to the URL is accomplished without taking control of the user's device. The directing is based on the communications agent installed on the website.

Abstract: Video processing using artificial intelligence is disclosed. An embedded interface including products for sale is accessed. A user requests an interaction based on one of the products. The embedded interface initiates a video segment including a synthetic human in response to the user request. The user submits a question or comment. The interface collects the user input and converts it into a dataset readable by a large language model (LLM). The LLM generates a response to the user request. The response is used to generate an audio stream. The audio stream includes simulated human speech errors and pauses. The audio stream is segmented and a video clip is synthesized for each audio segment. The video clips are assembled into a new video segment which is presented to the user. Additional user interactions are collected and new video segments are generated in response.

Abstract: A method for administering a dosage of Apixaban to a patient for the treatment or prevention of thrombosis, the method comprising: administering a dosage of Apixaban to the patient, wherein the dosage of apixaban is determined by: receiving patient data relating to a patient, wherein the patient data includes a kidney function metric of the patient; and processing, using one or more processors, the patient data with a dosage calculator to determine the dosage of Apixaban for the patient, wherein the dosage calculator is derived from a plasma level prediction model that predicts Apixaban drug plasma levels, and the dosage calculator determines the dosage for the patient based in part on the kidney function metric of the patient.

Abstract: Systems and methods for robot-executed site disinfection are provided, employing an autonomous robot equipped with a germicidal light source. In an area that is already mapped with a pre-defined trajectory, the robot may generate a map of delivered dosage and regions of UVC shadows when the robot moves in the environment. Alternatively, the robot may generate a trajectory to be followed, optimized to reduce shadows and minimize electrical energy usage. In an area already mapped, the robot may generate a map of delivered dosage and of shadows. Alternatively, the robot may generate a trajectory to disinfect surfaces based on an area map while reducing shadows and minimizing electrical energy usage. In an unmapped area, the robot may employ an exploration strategy to generate a trajectory to create a map of the area, while simultaneously performing disinfection of surfaces using a minimum amount of electrical energy.

Abstract: An electrolyzer or unitized regenerative fuel cell has a flow field with at least one channel, wherein the cross-sectional area of the channel varies along at least a portion of the channel length. In some embodiments the channel width decreases along at least a portion of the length of the channel according to a natural exponential function. The use of this type of improved flow field channel can improve performance and efficiency of operation of the electrolyzer device.

Abstract: A system architecture of a gift transaction system is disclosed. The gift transaction system can include a buyer interface module, a recipient interface module, a merchant backend interface module, a store front interface module, a curation module, a reminder module, an analytics module, or a media plug-in interface module. A method of operating the gift transaction system under the system architecture includes: providing an embedded widget on a website to determine gift intent to initiate a gift transaction by a buyer account for a recipient account; generating a gift buyer interface for a first client device to personalize a gift package including a gift item; generating a gift recipient interface for a second client device to customize the gift package; and communicating with a merchant backend system.

Abstract: The present invention provides a laundry container that is uniquely operable as a standing hamper or tote when loading or holding dirty laundry and is sized and oriented to be closed and installed into a machine-washer and -dryer with the dirty laundry still within for cleaning without any user contact or interaction with the laundry articles themselves, the laundry container including features that allow it to be extended and stand upright for use as a loadable hamper or tote and to be collapsed, with or without laundry still inside, for purposes of transport or storage.

Abstract: Systems and methods for determining whether a transaction between a consumer and a retailer qualifies for the consumer to receive an offer to send a gift received as a result of the transaction to a separate recipient. A gifting service system receives order confirmation details associated with the transaction, and assesses a variety of information from various sources to determine if the transaction qualifies for the offer. If so, the offer to send a gift is presented to the consumer. Once the consumer accepts the offer, the gifting service system obtains various selections and items of information, and sends a gift notification to an intended recipient. The gifting service system interacts with the recipient to obtain various selections and items of information to facilitate delivery of the gift to the recipient.

Abstract: Techniques for manipulating video livestream background images are disclosed. A short-form video, such as a livestream video or livestream replay video, can be analyzed for context. Computer-implemented techniques may be used for performing entity detection, and can also detect a change in subject based on speech and/or actions of a host individual. The subject can include a particular product. The detecting a change in subject can include detecting a foreground object and identifying the foreground object as a product. The identification of the foreground object as a product can include performing optical character recognition on text imprinted on a foreground object. The identification of the foreground object as a product can include image recognition techniques. The identification of the foreground object as a product can include scanning of an optical code such as a barcode that is imprinted on the product.

Abstract: Techniques for manipulating an expandable video loop with replacement audio are provided. A video that includes a performance by an individual is accessed. One or more processors are used to identify a minimum desired loop within the performance by the individual. Video information is extracted from the video loop and analyzed with machine learning. An audio file is obtained based on a script written by a user. The script is combined with a synthesized voice which is created from the individual video performance to obtain the audio file. The extracted video information is used to manipulate the lips of the individual based on the audio file. A second video loop is created, combining the individual from the first video loop with the video of the manipulated lips of the individual and the synthesized audio file. The second video loop is appended to the end of the first video loop.

Abstract: A computer-implemented method for video analysis is disclosed. A livestream, including a livestream chat, is accessed. The livestream includes products for sale. The livestream includes timestamps based on when each product is highlighted. The timestamps allow users to jump to livestream locations based on the highlighted products. The livestream is monitored by a large language model. The large language model (LLM) detects a question from users in the livestream, and the LLM determines answers to the question. An engagement metric is calculated for each answer. The engagement metric is predictive of future engagement in the livestream by users if the answer is posted. A human assistant in the livestream reviews the LLM answer with the highest engagement score and chooses to edit the answer, to post the answer, or not to post the answer to the livestream.

Abstract: Disclosed embodiments provide techniques for video chat initiation based on machine learning. A website that includes products for sale is accessed. The website is viewed by multiple users. User information is collected and analyzed based on machine learning. The machine learning model is used to predict a purchase intention for a user regarding one or more products for sale. The prediction is based on the machine learning analysis. Information about one or more sales associates is gathered and analyzed based on machine learning. The analysis of sales associate information is used to match a user with a purchase intention with a sales associate. The sales associate can initiate a chat interaction with the user through an overlay on the website. The chat interaction can provide additional user information for the machine learning model. During the chat interaction, the user can purchase one or more products.

Abstract: Systems and methods for automatically generating a graphical interface include determining a counter value associated with a counter object and automatically determining one or more corresponding objects using the counter value. A subset of the one or more corresponding objects is determined and a graphical interface including the subset is generated. An updated counter value associated with the counter object is determined according to a modification and one or more updated corresponding objects are automatically determined using the updated counter value. An updated subset of the one or more updated corresponding objects is determined an updated graphical interface including the updated subset is generated and is transmitted, wherein when the updated graphical interface is received, the updated graphical interface facilitates a selection of an updated corresponding object from the updated subset.

Abstract: Aspects of the invention relates to methods and compositions that are useful to reduce bias and increase the reproducibility of multiplex analysis of genetic loci. In some configurations, predetermined preparative steps and/or nucleic acid sequence analysis techniques are used in multiplex analyses for a plurality of genetic loci in a plurality of samples.

Abstract: Disclosed embodiments provide techniques for dynamic short-form video traversal with machine learning in an ecommerce environment. A graph structure associated with a library of short-form videos is accessed and customized in a back-end environment based on products for sale on a website. One or more of the customized short-form videos from the library are rendered to one or more users, along with an interactive overlay and an ecommerce environment. As the video is viewed, video consumption behavior data is collected and analyzed by a machine learning model. The machine learning model determines one or more next short-form videos from the graph structure for the user to view, based on sales goals, video consumption behavior data, and interaction with the user. The machine learning model can synthesize additional short-form videos and insert them into the graph structure in order to enhance viewer engagement and product sales.

Abstract: Disclosed embodiments provide techniques for scaling ecommerce with short-form video. A micro-website is created and is associated with a user ID. The user ID corresponds to a social media influencer, an expert in a subject matter, or a celebrity. The micro-website can be managed by a mobile application. Based on the user ID, a pre-approved electronic catalog of products is determined and used to populate the micro-website with one or more products for sale. The micro-website includes one or more short-form videos highlighting products for sale from the electronic catalog. The host of the short-form videos is the influencer, expert, or celebrity corresponding to the user ID. The micro-website includes an ecommerce link to allow fulfilling product orders. The short-form videos include a virtual purchase cart for ecommerce purchases that can be engaged by the user.