Abstract: Devices, systems, and methods for resecting tissue are disclosed. In some embodiments, a tissue resecting device may comprise an elongated structure having a longitudinal axis, the elongated structure comprising an outer sleeve with a distal window configured to receive uterine polyp tissue and an inner sleeve configured to move between a proximal position and a distal position relative to the window. In some further embodiments, the device may also comprise an electrode element coupled to the inner sleeve. In some even further embodiments, the device may include an insulative layer covering at least a portion of the inner sleeve, wherein the tissue resecting device is configured to fail when used to resect tissue more fibrous than uterine polyp tissue.

Abstract: A cloud capacity system enables calculation and tracking of cloud capacity metrics for data center pods. The system includes a “Cloud Capacity Snapshot” table having a number of different cloud capacity columns; a “Cloud Capacity Query” table that stores a respective, customizable query for each of the cloud capacity columns defining criteria for selecting and combining data to calculate the corresponding cloud capacity metric value; and a “Cloud Capacity URLs” table that stores cloud capacity universal resource locator (URLs). Each cloud capacity URL embodies or encodes a respective cloud capacity query of the “Cloud Capacity Query” table for a given combination of a particular cloud capacity column and a particular pod in the “Cloud Capacity Snapshot” table. As such, by executing the queries encoded in the “Cloud Capacity URLs” table, each cloud capacity field of the “Cloud Capacity Snapshot” table is populated with the corresponding cloud capacity metric value.

Abstract: Devices, systems, and methods for resecting tissue are disclosed. In some embodiments, a tissue resecting device may comprise an elongated structure having a longitudinal axis, the elongated structure comprising an outer sleeve with a distal window configured to receive uterine polyp tissue and an inner sleeve configured to move between a proximal position and a distal position relative to the window. In some further embodiments, the device may also comprise an electrode element coupled to the inner sleeve. In some even further embodiments, the device may include an insulative layer covering at least a portion of the inner sleeve, wherein the tissue resecting device is configured to fail when used to resect tissue more fibrous than uterine polyp tissue.

Abstract: The present disclosure relates generally to a system and method for the derivation of deltas. In certain embodiments, a configuration management database (CMDB) is configured to store configuration item (CI) information. One or more templates are also provided. The one or more templates are communicatively coupled to the CMDB and executable via a processor, wherein the one or more templates are configured to derive a delta comprising a difference in hosts between a first list of hosts stored in the CI information and a second list of hosts stored in an external database, wherein the external database is communicatively coupled to an external system external to the CMDB and is configured to store the second list of hosts provided via the external system.

Abstract: A cloud capacity system enables calculation and tracking of cloud capacity metrics for data center pods. The system includes a “Cloud Capacity Snapshot” table having a number of different cloud capacity columns; a “Cloud Capacity Query” table that stores a respective, customizable query for each of the cloud capacity columns defining criteria for selecting and combining data to calculate the corresponding cloud capacity metric value; and a “Cloud Capacity URLs” table that stores cloud capacity universal resource locator (URLs). Each cloud capacity URL embodies or encodes a respective cloud capacity query of the “Cloud Capacity Query” table for a given combination of a particular cloud capacity column and a particular pod in the “Cloud Capacity Snapshot” table. As such, by executing the queries encoded in the “Cloud Capacity URLs” table, each cloud capacity field of the “Cloud Capacity Snapshot” table is populated with the corresponding cloud capacity metric value.

Abstract: A cloud capacity system enables calculation and tracking of cloud capacity metrics for data center pods. The system includes a “Cloud Capacity Snapshot” table having a number of different cloud capacity columns; a “Cloud Capacity Query” table that stores a respective, customizable query for each of the cloud capacity columns defining criteria for selecting and combining data to calculate the corresponding cloud capacity metric value; and a “Cloud Capacity URLs” table that stores cloud capacity universal resource locator (URLs). Each cloud capacity URL embodies or encodes a respective cloud capacity query of the “Cloud Capacity Query” table for a given combination of a particular cloud capacity column and a particular pod in the “Cloud Capacity Snapshot” table. As such, by executing the queries encoded in the “Cloud Capacity URLs” table, each cloud capacity field of the “Cloud Capacity Snapshot” table is populated with the corresponding cloud capacity metric value.

Abstract: A cloud capacity system enables calculation and tracking of cloud capacity metrics for data center pods. The system includes a “Cloud Capacity Snapshot” table having a number of different cloud capacity columns; a “Cloud Capacity Query” table that stores a respective, customizable query for each of the cloud capacity columns defining criteria for selecting and combining data to calculate the corresponding cloud capacity metric value; and a “Cloud Capacity URLs” table that stores cloud capacity universal resource locator (URLs). Each cloud capacity URL embodies or encodes a respective cloud capacity query of the “Cloud Capacity Query” table for a given combination of a particular cloud capacity column and a particular pod in the “Cloud Capacity Snapshot” table. As such, by executing the queries encoded in the “Cloud Capacity URLs” table, each cloud capacity field of the “Cloud Capacity Snapshot” table is populated with the corresponding cloud capacity metric value.

Abstract: A sheath adapter may be used within a medical device to provide one or more additional lumens. One sheath for use with a medical device may comprise a C-shaped elongate shaft extending from a proximal end to a distal end, the C-shaped elongate shaft configured to fit onto a shaft of the medical device and a lumen extending at least partially along a length of the elongate shaft, the lumen having a first port disposed proximate the distal end of the C-shaped elongate shaft and a second port disposed proximate the proximal end of the C-shaped elongate shaft.

Abstract: Systems, devices, and methods for fluid management in an endoscopic procedure are disclosed. In one embodiment, a fluid management device may comprise a pair of electrodes and a controller connected to the pair of electrodes. In at least some embodiments, the controller may be configured to receive signals from the pair of electrodes and determine whether a fluid in a fluid reservoir is an ionic fluid or a non-ionic fluid based on signals received from the pair of electrodes. In at least some additional embodiments, the controller may be further configured to automatically set a fluid deficit alarm threshold based on the determination of whether the fluid in the fluid reservoir is an ionic fluid or a non-ionic fluid.

Abstract: Systems, devices, and methods for fluid management in an endoscopic procedure are disclosed. In one embodiment, a fluid management device may comprise a pair of electrodes and a controller connected to the pair of electrodes. In at least some embodiments, the controller may be configured to receive signals from the pair of electrodes and determine whether a fluid in a fluid reservoir is an ionic fluid or a non-ionic fluid based on signals received from the pair of electrodes. In at least some additional embodiments, the controller may be further configured to automatically set a fluid deficit alarm threshold based on the determination of whether the fluid in the fluid reservoir is an ionic fluid or a non-ionic fluid.

Abstract: Systems, devices, and methods for fluid management in an endoscopic procedure are disclosed. In one embodiment, a fluid management device may comprise a pair of electrodes and a controller connected to the pair of electrodes. In at least some embodiments, the controller may be configured to receive signals from the pair of electrodes and determine whether a fluid in a fluid reservoir is an ionic fluid or a non-ionic fluid based on signals received from the pair of electrodes. In at least some additional embodiments, the controller may be further configured to automatically set a fluid deficit alarm threshold based on the determination of whether the fluid in the fluid reservoir is an ionic fluid or a non-ionic fluid.

Abstract: Systems, devices, and methods for fluid management in an endoscopic procedure are disclosed. In one embodiment, a fluid management device may comprise a pair of electrodes and a controller connected to the pair of electrodes. In at least some embodiments, the controller may be configured to receive signals from the pair of electrodes and determine whether a fluid in a fluid reservoir is an ionic fluid or a non-ionic fluid based on signals received from the pair of electrodes. In at least some additional embodiments, the controller may be further configured to automatically set a fluid deficit alarm threshold based on the determination of whether the fluid in the fluid reservoir is an ionic fluid or a non-ionic fluid.

Abstract: Systems, devices, and methods for fluid management in an endoscopic procedure are disclosed. In one embodiment, a fluid management device may comprise a pair of electrodes and a controller connected to the pair of electrodes. In at least some embodiments, the controller may be configured to receive signals from the pair of electrodes and determine whether a fluid in a fluid reservoir is an ionic fluid or a non-ionic fluid based on signals received from the pair of electrodes. In at least some additional embodiments, the controller may be further configured to automatically set a fluid deficit alarm threshold based on the determination of whether the fluid in the fluid reservoir is an ionic fluid or a non-ionic fluid.

Abstract: Devices, systems, and methods for resecting tissue are disclosed. In some embodiments, a tissue resecting device may comprise an elongated structure having a longitudinal axis, the elongated structure comprising an outer sleeve with a distal window configured to receive uterine polyp tissue and an inner sleeve configured to move between a proximal position and a distal position relative to the window. In some further embodiments, the device may also comprise an electrode element coupled to the inner sleeve. In some even further embodiments, the device may include an insulative layer covering at least a portion of the inner sleeve, wherein the tissue resecting device is configured to fail when used to resect tissue more fibrous than uterine polyp tissue.

Abstract: A sheath adapter may be used within a medical device to provide one or more additional lumens. One sheath for use with a medical device may comprise a C-shaped elongate shaft extending from a proximal end to a distal end, the C-shaped elongate shaft configured to fit onto a shaft of the medical device and a lumen extending at least partially along a length of the elongate shaft, the lumen having a first port disposed proximate the distal end of the C-shaped elongate shaft and a second port disposed proximate the proximal end of the C-shaped elongate shaft.

Abstract: Systems, devices, and methods for fluid management in an endoscopic procedure are disclosed. In one embodiment, a fluid management device may comprise a pair of electrodes and a controller connected to the pair of electrodes. In at least some embodiments, the controller may be configured to receive signals from the pair of electrodes and determine whether a fluid in a fluid reservoir is an ionic fluid or a non-ionic fluid based on signals received from the pair of electrodes. In at least some additional embodiments, the controller may be further configured to automatically set a fluid deficit alarm threshold based on the determination of whether the fluid in the fluid reservoir is an ionic fluid or a non-ionic fluid.