Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: A pre-assembled chain of staples is provided that is suitable for use in bariatric surgery. The pre-assembled chain of staples includes a plurality of staples, each of the staples having two spaced apart legs and a crown connector which joins the two legs to each other at upper ends thereof and spaces the two legs a predetermined fixed distance apart from each other at their upper ends. The chain of staples also includes rings for joining adjacent staples together, which rings can be separate from the staples.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: Techniques for enhancing a multi-tasking user interface of an operating system are disclosed. An update data item pertaining to an application placed in the background on the device is received. An update image is generated to include information pertaining to the update data item. The update image is incorporated into a multitasking user interface of the operating system such that the update image is presented to a user and the user may view the information pertaining to the update data item before choosing whether to bring the application to the foreground.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: Techniques for enhancing a multi-tasking user interface of an operating system are disclosed. An update data item pertaining to an application placed in the background on the device is received. An update image is generated to include information pertaining to the update data item. The update image is incorporated into a multitasking user interface of the operating system such that the update image is presented to a user and the user may view the information pertaining to the update data item before choosing whether to bring the application to the foreground.

Abstract: Techniques for enhancing a mufti-tasking user interface of an operating system are disclosed. An update data item pertaining to an application placed in the background on the device is received. An update image is generated to include information pertaining to the update data item. The update image is incorporated into a multitasking user interface of the operating system such that the update image is presented to a user and the user may view the information pertaining to the update data item before choosing whether to bring the application to the foreground.

Abstract: A device, system, and method may include an electronic data storage configured to store social network data related to use of the social network by users. A processor, coupled to the electronic data storage, may be configured to determine a recommended action that a member of the social network may take to increase a likelihood of at least one of the uses of the social network to access a social network content item related to the member and determine an estimated statistical change in a rate at which the users may access the social network content item if the recommended action were implemented by the member based, at least in part, on the social network data stored in the electronic data storage.

Abstract: Techniques for enhancing a mufti-tasking user interface of an operating system are disclosed. An update data item pertaining to an application placed in the background on the device is received. An update image is generated to include information pertaining to the update data item. The update image is incorporated into a multitasking user interface of the operating system such that the update image is presented to a user and the user may view the information pertaining to the update data item before choosing whether to bring the application to the foreground.

Abstract: Apparatus (20) for removing gas bubbles from a liquid to be infused to a patient wherein a gas trap (42) is located at the upper end of a vertical column (38, 40, 40a) having a lower inlet (44) and an upper outlet (56). A bracket (39) supports the column above the patient, and a bubble-separator (46, 39a, 47, 66, 63), positioned between the inlet and the outlet, causes gas bubbles to move toward the column axis as they rise so that they are captured in the gas trap (42). Liquid to be de-gasified is supplied from a vertical level above the column outlet and is delivered through the side outlet (56) to the patient below.

Abstract: Apparatus (20) for removing gas bubbles from a liquid to be infused to a patient wherein a gas trap (42) is located at the upper end of a vertical column (38, 40, 40a) having a lower inlet (44) and an upper outlet (56). A bracket (39) supports the column above the patient, and a bubble-separator (46, 39a, 47, 66, 63), positioned between the inlet and the outlet, causes gas bubbles to move toward the column axis as they rise so that they are captured in the gas trap (42). Liquid to be de-gasified is supplied from a vertical level above the column outlet and is delivered through the side outlet (56) to the patient below.