Abstract: A spool may include a drum rotatably supported on an axle shaft and flanges integrally formed with opposite ends of the drum. The drum has a continuous groove on the outer surface of the drum to guide the movement of the safety wireline. Both of the flanges may include an opening, internal threads circumscribing the opening, and a plurality of mechanical brakes. Each of the mechanical brakes may include a rotor rotatably supported on the axle shaft of the spool and a pawl arranged within the opening. The pawl is pivotally linked to the rotor such that when the rotation of the axle shaft is in a direction and at a rotation speed that exceeds a threshold then the pawl is moved by centrifugal force and engages with the internal threads circumscribing the opening and does not permit the spool to rotate.

Abstract: Acidizing a sandstone formation in Earth crust, including pumping ammonium salts (an ammonium salt not having fluoride and an ammonium salt having fluoride) and nitrite salt through a wellbore into a sandstone formation, pumping an acid through the wellbore into the sandstone formation, generating heat, nitrogen gas, and hydrofluoric acid from reaction of the ammonium salts with the nitrite salt and the acid in the sandstone formation, and acidizing the sandstone formation with the hydrofluoric acid.

Abstract: Methods, systems, and devices for wireless communications are described. The method may include the user equipment (UE) receiving control signaling indicating a set of schemes for reporting an environmental state associated with the UE and measuring one or more channel characteristics according to a scheme of the set of schemes. Moreover, the UE may transmit a report indicating the environmental state associated with the UE based on measuring the one or more channel characteristics. A machine learning model implemented by the UE, a network entity, or both is based on the indicated environmental state associated with the UE.

Abstract: In some implementations, a base device may determine a quali-colocation (QCL) relation between a first wireless reference signal transmitted by a first sidelink (SL) anchor and a second wireless reference signal transmitted by a second SL anchor, wherein: the first SL anchor and the second SL anchor comprise UEs separate from the receiving UE, and the first wireless reference signal and the second wireless reference signal are transmitted for positioning of the receiving UE, performing radio frequency (RF) sensing, or both. The base device may wirelessly send, from the base device to the receiving UE, the mSL-QCL information, wherein the mSL-QCL information is indicative of the QCL relation between the first wireless reference signal and the second wireless reference signal.

Abstract: A method of removing condensate banking in a subsurface formation using a treatment fluid includes injecting a treatment fluid including nanoparticles and a thermochemical component, the thermochemical component including sodium nitrite and ammonium chloride, into a wellbore having condensate banking, thereby exposing the treatment fluid to subsurface formation conditions. The method further includes allowing a temperature of the wellbore to activate the thermochemical component, causing an exothermic reaction generating nitrogen gas, pressure, and heat. The method further includes allowing the treatment fluid and generated nitrogen gas to mix with the condensate banking, thereby forming a homogenous multi-phase foam and lowering hydrostatic pressure in the wellbore. The method further includes allowing the homogenous multi-phase foam to flow back to the surface due to the pressure generated by the exothermic reaction and lowered hydrostatic pressure in the wellbore, thereby removing the condensate banking.

Abstract: Aspects presented herein may enable an ML module to associate RF fingerprints with beam directions and/or beam features to improve the uniqueness of RF fingerprints. In one aspect, network entity may receive, from one or more wireless devices, a plurality of first RF fingerprints, each of the plurality of first RF fingerprints being associated with at least one directional feature and a location. The network entity may receive a request to determine a position of a UE based on at least one second RF fingerprint associated with the UE or captured by the UE. The network entity may estimate the position of the UE based at least in part on matching the at least one second RF fingerprint to at least one of the plurality of first RF fingerprints.

Abstract: A method of preparing metal nanoparticles using a fungal extract includes providing an aqueous solution including a metal salt; and combining the fungal extract with the aqueous metal salt solution to produce the metal nanoparticles. The fungal extract can be an aqueous extract of the manglicolous fungi The metal salt can be copper sulfate (CuSO4) and the metal nanoparticles can be copper nanoparticles. The metal nanoparticles can have a mean diameter in the range of from about 5 nm to about 100 nm. The copper nanoparticles can be used as an antimicrobial agent.

Abstract: In an aspect, a user equipment (UE) transmits an uplink reference signal for positioning (RS-P) to one or more transmission reception points (TRPs). The TRP(s) or an location management function (LMF) extracts features from one or more uplink radio frequency fingerprint (RFFPs) of the uplink RS-P by one or more network components via one or more network-based machine learning (ML) feature extraction models, and sends the extracted features to the UE for position estimation. Other aspects are directed to UE-based round-trip RFFP position estimation session of a UE. Other aspects are directed to network-based round-trip RFFP position estimation of a UE. The UE-based round-trip RFFP position estimation and the network-based round-trip RFFP position estimation may be based on an uplink RFFP (e.g., SRS) of an uplink reference signal for positioning (RS-P) and a downlink RFFP of a downlink RS-P (e.g.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) transmits one or more provide capabilities messages to a location server, the one or more provide capabilities messages indicating at least a first set of capabilities of the UE to engage in a downlink radio frequency fingerprint (DL-RFFP) positioning procedure, and receives one or more positioning assistance data messages for the DL-RFFP positioning procedure from the location server, the one or more positioning assistance data messages based at least on the first set of capabilities.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) receives one or more positioning assistance data messages for a downlink radio frequency fingerprint (DL-RFFP) positioning procedure from a first network entity, the one or more positioning assistance data messages including at least one parameter related to a machine learning model the UE is configured to use for the DL-RFFP positioning procedure, and transmits one or more location information messages to a second network entity, the one or more location information messages including one or more parameters related to the DL-RFFP positioning procedure.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a user equipment (UE) may send, to a network entity, information identifying a capability of the UE to process frequency modulated continuous wave (FMCW) signals. The UE may receive, from a network entity, information identifying a set of transmission / reception points (TRPs) for transmitting FMCW signals for a positioning measurement, the set comprising at least a first TRP and a second TRP. The UE may measure a first FMCW signal that was transmitted by the first TRP to produce a first frequency of arrival. The UE may measure a second FMCW signal that was transmitted by the second TRP to produce a second frequency of arrival. The UE may determine a location of the UE based on a frequency difference between the first frequency of arrival and the second frequency of arrival.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a network entity receives a provide location information message from a user equipment (UE), the provide location information message including one or more positioning estimates derived by the UE during one or more positioning inference occasions of a machine learning model, wherein the machine learning model is applied to one or more measurements of a wireless channel between the UE and a network node during each of the one or more positioning inference occasions, and transmits a performance report indicating a performance of the machine learning model at least in deriving the one or more positioning estimates during the one or more positioning inference occasions.

Abstract: In an aspect, a network component (e.g., BS, server, etc.) obtains measurement information associated with uplink signal(s) from UE(s), with the uplink signal(s) having reciprocity with one or more downlink beams of wireless node(s) (e.g., TRP, reference UE, etc.). The network component determines (e.g., generates or refines) a measurement (e.g., RFFP-P) model based on the measurement information. The network component provides the measurement (e.g., RFFP-P) model to a target UE. The target UE receives at least one signal (e.g., PRS) on the one or more downlink beams from the wireless node(s). The target UE processes the at least one signal (e.g., predicts target UE location) based at least in part on the measurement (e.g., RFFP-P) model.

Abstract: Methods and apparatus for predicting wireless measurements based on virtual access points is described. In some embodiments, a location of a user equipment (UE) may be obtained, and given the location of the UE, an output may be generated using a machine learning model, the output including one or more predicted wireless measurements. The output may be indicative of a wireless channel in a multipath environment. In some variants, the machine learning model may have been trained by obtaining a training dataset comprising multipath components data and ground truth locations of a wireless device, and performing an optimization with respect to the multipath components data and the ground truth locations. In some implementations, a training output comprising a predicted multipath component may be produced during the training, and the optimization may include an iterative minimization of an error between at least the predicted multipath component and a labeled multipath component.

Abstract: A system includes a casing string, a flow control apparatus, and a stinger. The flow control apparatus includes a tubular body, a float valve, and a disk. The tubular body has a conduit and a first end. The first end is connectable to the casing string. The float valve is fixed within the conduit of the tubular body and is configured to block flow in a first direction and allow flow in the second direction. The disk is fixed above the float valve and within the conduit of the tubular body. The disk is configured to prevent flow in the second direction until the disk is broken by a pre-determined force. The stinger is deployed in the casing string and applies the pre-determined force to the disk to allow a flow of the fluid, in the second direction, from the stinger to the annulus.

Abstract: A method for acidizing a subsurface formation using a treatment fluid includes injecting a treatment fluid including a strong acid, a buffer, a thermochemical component, a foaming agent and nanoparticles into the wellbore, thereby exposing the treatment fluid to subsurface formation conditions. The method further includes allowing a temperature of the wellbore to activate the thermochemical component, causing an exothermic reaction generating nitrogen gas, pressure, and heat, thereby forming fractures within the subsurface formation. The method further includes allowing the treatment fluid and nitrogen gas to mix within the subsurface formation, thereby forming a foamed acid within the fractures to acidize the subsurface formation.

Abstract: Devices and systems can be used to treating spinal conditions. For example, this document describes artificial facet joint systems that can be implanted to treat spinal conditions while facilitating normal stability and motions of the spine. Such systems and methods can be used to treat spinal conditions such as, but not limited to, spondylosis, vertebral fractures, and the like.

Abstract: This disclosure presents a method, an apparatus, and a non-transitory computer readable medium to synchronize an active load with a microgrid having a plurality of distributed generators. The method comprises obtaining respective reference frames for the active load and each of the plurality of distributed generators. The method further comprises selecting the reference frame of a first distributed generator as a common reference frame for the microgrid. The method further comprises pooling the active load and the other distributed generators of the plurality of distributed generators on the common reference frame of the microgrid. The method further comprises tuning controller parameters of the active load and the plurality of distributed generators so that predefined grid voltage, frequency, and phase values of the microgrid are maintained.

Abstract: Embodiments described herein provide for systems and methods for verifying authentic JIPs associated with ANIs using CLLIs known to be associated with the ANIs, allowing a computer to authenticate calls using the verified JIPs, among various factors. The computer builds a trust model for JIPs by correlating unique CLLIs to JIPs. A malicious actor might spoof numerous ANIs mapped to a single CLLI, but the malicious actor is unlikely to spoof multiple CLLIs due to the complexity of spoofing the volumes of ANIs associated with multiple CLLIs, so the CLLIs can be trusted when determining whether a JIP is authentic. The computer identifies an authentic JIP when the trust model indicates that a number of CLLIs associated with the JIP satisfies one or more thresholds. A machine-learning architecture references the fact that the JIP is authentic as an authentication factor for downstream call authentication functions.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a network entity, such as a location server, may determine first information characterizing a channel associated with a wireless device within a region of interest. The network entity may determine a location of the wireless device within the region of interest based on the first information characterizing the at least one channel associated with the wireless device and a plurality of radio frequency fingerprints (RFFPs), wherein each RFFP of the plurality of RFFPs identifies a geographic location within a region of interest and a channel condition at that geographic location within the region of interest, and wherein each geographic location within the region of interest is represented by a plurality of RFFPs having different channel conditions due to different states of at least one reconfigurable intelligent surface (RIS) within the region of interest.