Abstract: The intravenous catheter device (100) includes a catheter hub (102), a valve member (158), an actuator member (176) and a valve closure member (192). The valve member (158) includes a convex portion (162) provided with slits (170) defining prongs (172). The slits (170) are configured to open when a needle (116) is pierced through the slit (170) to puncture a vein of a patient. The valve closure member (192) is disposed inside the catheter hub (102) such that the first surface (194) of the valve closure member (192) abuts the convex portion (162) of the valve member (158). When the luer lock member (206) abutting the actuator member (176) inside the catheter hub (102) is disengaged, the valve closure member (192) is adapted to push the prongs (172), closing the passage (204) for the fluid flow and preventing blood flow from the punctured vein of the patient.

Abstract: A sliding door assembly includes an upper track assembly; a lower track assembly; a sliding door laterally slidable along each of the upper track assembly and the lower track assembly, the sliding door comprising a door body, an upper locking pin, and a lower locking pin, the sliding door configurable in a locked configuration and an unlocked configuration; and an actuator operatively connected to each of the upper locking pin and the lower locking pin; wherein, in the locked configuration, the actuator simultaneously engages the upper locking pin with the upper track assembly and the lower locking pin with the lower track assembly to prohibit the sliding door from opening, and in the unlocked configuration, the actuator simultaneously retracts the upper locking pin from the upper track assembly and the lower locking pin from the lower track assembly to allow the sliding door to open.

Abstract: Techniques and apparatuses are described for deep neural network (DNN) processing for a user equipment-coordination set (UECS). A network entity selects (910) an end-to-end (E2E) machine-learning (ML) configuration that forms an E2E DNN for processing UECS communications. The network entity directs (915) each device of multiple devices participating in an UECS to form, using at least a portion of the E2E ML configuration, a respective sub-DNN of the E2E DNN that transfers the UECS communications through the E2E communication, where the multiple devices include at least one base station, a coordinating user equipment (UE), and at least one additional UE. The network entity receives (940) feedback associated with the UECS communications and identifies (945) an adjustment to the E2E ML configuration. The network entity then directs at least some of the multiple devices participating in an UECS to update the respective sub-DNN of the E2E DNN based on the adjustment.

Abstract: A solenoid valve includes a spool housing defining a spool axis, a spool extending within the spool housing, a solenoid housing, an armature extending within the solenoid housing and defining an armature axis perpendicular to the spool axis, a spool actuator extending from the armature and in engagement with the spool, a first coil positioned along a first portion of the armature, and a second positioned along a second portion of the armature. The first coil and the second coil are controllable to reposition the armature along the armature axis such that the spool actuator variably engages with the spool to move the spool between a plurality of positions along the spool axis.

Abstract: A data storage system may have a data storage device with a memory arranged into a plurality of logical namespaces. A power module can be connected to the plurality of logical namespaces and configured to transition at least one memory cell in response to a workload computed for a namespace of the plurality of the logical namespaces to maintain a power consumption of 8 watts or less for the data storage device.

Abstract: A fluoropropene composition comprising E-1,3,3,3-tetrafluoropropene, 1,1,3,3,3-pentafluoropropene, and 2,3,3,3-tetrafluoropropene, wherein the total amount of 1,1,3,3,3-pentafluoropropene and 2,3,3,3-tetrafluoropropene is 1.0 wt. % or less, based on the total weight of the fluoropropene composition. A method of producing the fluoropropene, composition and methods for using the fluoropropene composition are also disclosed.

Abstract: A low density annular grout composition for filling voids. The composition may consist of cementitious fly ash, water, set retarder and cellular foam. The composition may have a compressive strength of between 100 and 600 psi at seven days and less than 1500 psi at 28 days. The composition may have a density between 20 and 75 pcf. Also disclosed is a method of filling a void with a low density annular grout composition. The method can include determining the time necessary to fill the void, adding water and set retarder to a cementitious fly ash to make a wet mixture, adding air to the wet mixture, and adding the composition to the void.

Abstract: As part of a dialog session between a user and an automated assistant, implementations can process, using a streaming ASR model, a stream of audio data that captures a portion of a spoken utterance to generate ASR output, process, using an NLU model, the ASR output to generate NLU output, and cause, based on the NLU output, a stream of fulfillment data to be generated. Further, implementations can further determine, based on processing the stream of audio data, audio-based characteristics associated with the portion of the spoken utterance captured in the stream of audio data. Based on the audio-based characteristics and/the stream of NLU output, implementations can determine whether the user has paused in providing the spoken utterance or has completed providing of the spoken utterance. If the user has paused, implementations can cause natural conversation output to be provided for presentation to the user.

Abstract: Vehicles, systems, and techniques are provided for noise reduction in detection in remote sensing systems. Noise reduction can be accomplished, in some embodiments, by narrowing a time interval to receive return EM radiation (or, in other embodiments, EM signals representative of the return EM radiation) at a system mounted in a vehicle. The time interval can be narrowed by adjusting the time during which the system can receive the return EM radiation. In other embodiments, rather than adjusting the time interval, a processing unit can remove a portion of data representative of a signal resulting from mixing probe EM radiation and return EM radiation. The data that is removed can be representative of the signal during a leading interval of the defined period during which probe EM radiation is emitted. Such a removal can result in second data representative of the signal during a terminal interval of the defined period.

Abstract: A method is described herein that produces UN from UF6 in at most two steps comprising UF6?intermediate?UN. The principle of the reaction is that in a first step, UF6 would be reduced to UxNy, where x may be an integer selected from 1 and 3, and y is an integer selected from 1 and 2. Reduction occurs at or near the surface of a gaseous membrane electrode where it is also in contact with a nitrogen bearing salt. In a second step, UxNy decomposes to UN and N2 gas, either in the same reactor as the first step or after removal to a separate unit for further processing.

Abstract: A method includes training, using a first computing system having a first configuration, a first machine learning model having a machine learning model architecture, and training, using a second computing system having a different second configuration, a second machine learning model having the machine learning model architecture. The method also includes determining, for a shared training operation performed by both the first computing system and the second computing system, a similarity measure that represents a similarity between: a first training output generated by the first computing system during performance of the shared training operation during training of the first machine learning model; and a second training output generated by the second computing system during performance of the shared training operation during training of the second machine learning model.

Abstract: An external bone fixation system may include a first semi-circular external fixation member, a second semi-circular external fixation member, four ball collet assemblies attached to the second external fixation member, and four shafts. Each shaft may include a first end attached to the first external fixation member and a second end with a stop member, and each of the four shafts extends slidably through an opening in a ball of one of the four ball collet assemblies. The stop member of each second end prevents each second end from passing through the opening in its respective ball. Each shaft also includes a hinge located closer to the first end than to the second end.

Abstract: The disclosed distributed monopole antenna may include a first conductive plate and a second conductive plate. The distributed monopole antenna may also include multiple different vias that electrically connect the first conductive plate to the second conductive plate. Still further, the distributed monopole antenna may include an antenna feed electrically connected to at least one of the vias. Various other systems, methods of manufacturing, and wearable electronic devices that implement distributed monopole antennas are also disclosed.

Abstract: A method of controlling a continuously variable electric drivetrain (CVED) including a high ratio traction drive transmission and at least one of a first motor-generator and a second motor-generator is disclosed. The method includes the steps of receiving an output speed, determining a kinematic output speed, and determining a slip state of the high ratio traction drive transmission based on a comparison of the output speed to the kinematic output speed.

Abstract: Systems, methods, and storage media for determining the probability of cyber risk-related loss within one or more computing systems composed of computing elements are disclosed. Exemplary implementations may: assess vulnerability by determining an exposure window for a computing element based on the number of discrete times within a given time frame where the computing element is in a vulnerable state; determine a frequency of contact of the computing element with threat actors; normalize the exposure window and the frequency of contact; calculate a threat event frequency by dividing the normalized exposure window by the normalized frequency of contact; and repeat the steps for multiple elements. When combined with liability data that describes the loss magnitude implications of these events ,organizations can prioritize the elements based on loss exposure and take action to prevent loss exposure.

Abstract: The present technology relates to an information processing apparatus and an information processing method that enable screen sharing to be easily and reliably performed. Provided is an information processing apparatus including a processing unit that generates, on the basis of a message transmitted from a sharing source device that performs screen sharing, identification information that identifies the information processing apparatus serving as a sharing candidate device as a candidate for screen sharing, provides the sharing source device with device information regarding the information processing apparatus, and outputs the generated identification information. The present technology can be applied to a device that performs screen sharing.

Abstract: A computing system has a processing device (e.g., CPU, FPGA, or GPU) and memory regions (e.g., in a DRAM device) used by the processing device during normal operation. The computing system is configured to: monitor use of the memory regions in volatile memory; based on monitoring the use of the memory regions, identify at least one of the memory regions of the volatile memory; initiate a hibernation process; and during the hibernation process, copy data stored in the identified memory regions to non-volatile memory.

Abstract: Wireless devices may communicate with each other via a sidelink. At least two wireless devices may communicate via a sidelink using a resource allocation mode that may be determined with or without assistance from a base station. A wireless device may select, based on one or more conditions, from at least two resource allocation modes of operation for the sidelink.