Abstract: A method includes receiving a domain search query from a first user, generating a prompt based on the query to instruct a first model to provide a domain recommendation, where the first model is trained by utilizing a dataset including: first data reflecting interactions of users with domain portfolios, second data reflecting domain-related actions performed by the users, third data reflecting behaviors of a second user during a current domain search session, fourth data reflecting behaviors of the second user over a predetermined period covering multiple search sessions, and fifth data reflecting search scenarios of multiple users, determining the domain recommendation against a predetermined rule to form a sanitized domain recommendation, verifying an availability to register the sanitized domain recommendation to form an available domain recommendation, adding industry information to the available domain recommendation to form an enriched domain recommendation, and transmitting the enriched domain recommen

Abstract: A method includes receiving a domain search query from a first user, generating a prompt based on the query to instruct a first model to provide a domain recommendation, where the first model is trained by utilizing a dataset including: first data reflecting interactions of users with domain portfolios, second data reflecting domain-related actions performed by the users, third data reflecting behaviors of a second user during a current domain search session, fourth data reflecting behaviors of the second user over a predetermined period covering multiple search sessions, and fifth data reflecting search scenarios of multiple users, determining the domain recommendation against a predetermined rule to form a sanitized domain recommendation, verifying an availability to register the sanitized domain recommendation to form an available domain recommendation, adding industry information to the available domain recommendation to form an enriched domain recommendation, and transmitting the enriched domain recommen

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a request for a plurality of data items from a computing device; determining at least one pattern for at least one metric associated with the computing device; generating at least one digital code based on the at least one pattern meeting a predetermined metric threshold, the at least one digital code comprising access to a plurality of resources; assigning the at least one digital code to the computing device to form at least one assigned digital code; and allowing access to the plurality of resources to facilitate performing a domain name availability determination for the plurality of data items.

Abstract: A method includes obtaining behavior information associated with a first request for a domain registration from a requester at a remote computing device, generating requester profile information based on the behavior information, receiving a second request for a domain registration from the requester, the second request being subsequent to the first request, generating, by executing a machine learning model, a first plurality of candidate domain names based on the second request and the updated requester profile information, generating a second plurality of candidate domain names by querying a domain registrar based on the first plurality of candidate domain names, wherein the second plurality of candidate domain names are available domain names, transmitting the second plurality of candidate domain names to the remote computing device, as to instruct the remote computing device to display the second plurality of candidate domain names for the requester to make selections.

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a request for a plurality of data items from a computing device; determining at least one pattern for at least one metric associated with the computing device; generating at least one digital code based on the at least one pattern meeting a predetermined metric threshold, the at least one digital code comprising access to a plurality of resources; assigning the at least one digital code to the computing device to form at least one assigned digital code; and allowing access to the plurality of resources to facilitate performing a domain name availability determination for the plurality of data items.

Abstract: A method includes receiving a request for a first domain from a requester with an identification, fetching requester profile using the identification, generating a seed domain based on the request and the requester profile, generating a plurality of SLDs based on the seed domain and the requester profile, generating a plurality of TLDs based on the seed domain and the requester profile, generating a first plurality of candidate domains based on the plurality of SLDs and the plurality of TLDs, generating a second plurality of candidate domains that are currently available by checking the first plurality of domains with a domain registrar, ranking the second plurality of candidate domains to be provided to the requester for a selection, receiving a selected domain, automatically updating the requester profile based on the request and the selection, and fetching the updated profile for generating another seed domain for a subsequent request.

Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

Abstract: Systems, methods, and non-transitory computing device readable media for determining an individualized orthodontic treatment index. One embodiment includes generating a target dental model by modifying an initial dental model, graphically marking dental references on the target dental model including assigning contact points between adjacent first and second teeth of the target dental model, generating a treatment outcome dental model representing the patient's dentition after at least a portion of the orthodontic treatment has been completed, mapping the dental references marked on the target dental model to the treatment outcome dental model, and calculating an individualized treatment index score for the treatment outcome dental model according to one or more differences between the target dental model and the treatment outcome dental model.

Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

Abstract: Examples of managing connectivity to physical ports of electronic devices are described herein. In an example, presence of an external device, which is to couple to a physical port of an electronic device, may be detected. The presence of the external device within a specific distance of the electronic device may be determined based on receipt of device data from the external device. In response to the detection of the external device, an input to generate a magnetic field at the physical port may be provided to manage connectivity of a connector of the external device to the port.

Abstract: Examples of managing connectivity to physical ports of electronic devices are described herein. In an example, presence of an external device, which is to couple to a physical port of an electronic device, may be detected. The presence of the external device within a specific distance of the electronic device may be determined based on receipt of device data from the external device. In response to the detection of the external device, an input to generate a magnetic field at the physical port may be provided to manage connectivity of a connector of the external device to the port.

Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

Abstract: Example systems, methods, apparatuses, or articles of manufacture, etc. are disclosed in connection with assisted search results.

Abstract: Example systems, methods, apparatuses, or articles of manufacture, etc. are disclosed in connection with assisted search results.

Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

Abstract: A flashlight includes a barrel, a connecting member, a seat, and an end cap. The connecting member is mounted to a bottom end of the barrel and allows the barrel to move to a desired angle relative to the connecting member. The seat includes a larger chamber, and two smaller chambers. A front leg is slidably mounted in the larger chamber and movable between a retracted position in the larger chamber and an extended position outside the larger chamber. A side leg is mounted in each smaller chamber and pivotable between a retracted position in an associated smaller chamber and an extended position outside the associated smaller chamber.

Abstract: A flashlight includes a barrel, a connecting member, a seat, and an end cap. The connecting member is mounted to a bottom end of the barrel and allows the barrel to move to a desired angle relative to the connecting member. The seat includes a larger chamber, and two smaller chambers. A front leg is slidably mounted in the larger chamber and movable between a retracted position in the larger chamber and an extended position outside the larger chamber. A side leg is mounted in each smaller chamber and pivotable between a retracted position in an associated smaller chamber and an extended position outside the associated smaller chamber.