Abstract: A method, apparatus, and computer-readable medium at a transmitting user equipment (UE) in a distributed cellular vehicle-to-everything environment are disclosed to determine a schedule for transmissions on subchannels of multiple frequencies based on a set of UE-specific, dynamic, and performance related metrics or criteria. The metrics may include an estimated number of users on a subchannel, a best-bandwidth fit, channel loading conditions, transmission range, and quality requirements of an application, among others. Such a schedule for transmissions on subchannels of multiple frequencies may result in either an improved capacity utilization, an improved communication quality, or both.

Abstract: Certain aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a limit on a number of resource blocks (RBs) permitted to be used for a vehicle-to-everything (V2X) transmission by the UE; may determine, based at least in part on the limit, one or more parameters for the V2X transmission, wherein the one or more parameters include at least one of a modulation and coding scheme (MCS) for the V2X transmission, a number of transport blocks (TBs) for the V2X transmission, a number of RBs per TB for the V2X transmission, or a retransmission configuration for the V2X transmission; and may transmit the V2X transmission based at least in part on the one or more parameters. Numerous other aspects are provided.

Abstract: The present invention relates to a fresh water acute criteria prediction method based on a quantitative structure-activity relationship for metals. An unknown toxic endpoint of a metal is predicted according to a quantitative relationship between structural characteristics of heavy metal ions and acute toxicity effects of aquatic organisms, and hazard concentrations for protecting the aquatic organisms of different proportions are derived from sensitivity distribution analysis on different species. The fresh water acute criteria prediction method is a method for establishing a metal toxicity predictive model by integrating physicochemical structural parameters of heavy metals and toxic mechanisms of different aquatic organisms and applying the metal toxicity predictive model to prediction of an unknown criteria reference value.

Abstract: A method, apparatus, and computer-readable medium at a transmitting user equipment (UE) in a distributed cellular vehicle-to-everything environment are disclosed to determine a schedule for transmissions on subchannels of multiple frequencies based on a set of UE-specific, dynamic, and performance related metrics or criteria. The metrics may include an estimated number of users on a subchannel, a best-bandwidth fit, channel loading conditions, transmission range, and quality requirements of an application, among others. Such a schedule for transmissions on subchannels of multiple frequencies may result in either an improved capacity utilization, an improved communication quality, or both.

Abstract: Certain aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a limit on a number of resource blocks (RBs) permitted to be used for a vehicle-to-everything (V2X) transmission by the UE; may determine, based at least in part on the limit, one or more parameters for the V2X transmission, wherein the one or more parameters include at least one of a modulation and coding scheme (MCS) for the V2X transmission, a number of transport blocks (TBs) for the V2X transmission, a number of RBs per TB for the V2X transmission, or a retransmission configuration for the V2X transmission; and may transmit the V2X transmission based at least in part on the one or more parameters. Numerous other aspects are provided.

Abstract: Apparatuses and methods are described herein for a wireless communication device to request uplink grants associated with the first subscription using at least one Radio Frequency (RF) resource, including tuning away from the first subscription to the second subscription for a tune-away time interval, determining whether the tune-away time interval exceeds a threshold, transmitting at least one scheduling request associated with the first subscription for a throttled count in response to the tune-away time interval exceeding the threshold, wherein the throttled count is less than a default count, determining whether an uplink grant has been received in response to any of the at least one scheduling request transmitted within the throttled count, and initiating an uplink data Random Access Channel (RACH) process in response to not receiving the uplink grant.

Abstract: The present invention relates to a QSAR toxicity prediction method for evaluating health effects of nano-crystalline metal oxides, and relates to the field of prediction of toxic substances in an environment. The QSAR toxicity prediction method specifically comprises: predicting a toxicity endpoint of an unknown metal oxide according to a quantitative relationship between structural characteristics and a cytotoxic effect of a nano-crystalline metal oxides.

Abstract: The present invention relates to a fresh water acute criteria prediction method based on a quantitative structure-activity relationship for metals. An unknown toxic endpoint of a metal is predicted according to a quantitative relationship between structural characteristics of heavy metal ions and acute toxicity effects of aquatic organisms, and hazard concentrations for protecting the aquatic organisms of different proportions are derived from sensitivity distribution analysis on different species. The fresh water acute criteria prediction method is a method for establishing a metal toxicity predictive model by integrating physicochemical structural parameters of heavy metals and toxic mechanisms of different aquatic organisms and applying the metal toxicity predictive model to prediction of an unknown criteria reference value.

Abstract: A user equipment (UE) determines a first transmit power parameter for a primary carrier and a secondary carrier of a multi-carrier uplink, based on a first data power allocated for a first data type to be transmitted on the multi-carrier uplink. The UE determines a first maximum enhanced uplink transport format combination indicator (E-TFCI) for the primary carrier and the secondary carrier based on the first transmit power parameter. If the primary carrier or the secondary carrier has data of a second data type for transmission, the UE determines a second data power allocated for the first data type utilizing the first maximum E-TFCI as a reference E-TFCI. If a difference in value between the first data power and the second data power is less than a threshold value, the UE utilizes the first transmit power parameter for transmitting data on the primary carrier and the secondary carrier.