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.

Abstract: Disclosed are techniques for positioning. In an aspect, a network entity receives, from at least one network node, a measurement report including one or more radio frequency fingerprint (RFFP) measurements, wherein the one or more RFFP measurements include at least one RFFP measurement of at least one sidelink channel between a first user equipment (UE) and a second UE, determines one or more locations of a target UE based on the one or more RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a first user equipment (UE) obtains one or more first radio frequency fingerprint (RFFP) measurements of one or more first downlink channels received at the first UE, one or more first sidelink channels received at the first UE, or both, and determines one or more locations of a target UE based on the one or more first RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.

Abstract: An analog-to-digital circuit that digitizes an analog voltage. The analog-to-digital circuit includes plural comparators functionally connected to form a tree that has levels i, and each level i has branches j, and an encoder connected to the plural comparators and configured to generate a digitized value of an input analog voltage. Each comparator from a level i has first and second outputs, and each of the first and second outputs is electrically connected to an input of different comparators from a next level i+1 of the tree.

Abstract: A gamma radiography system includes a gamma source holder, a shaft handle attached to the source holder, a source container that surrounds the source holder, a source container cover attached to the source container to receive and slidingly support the shaft handle, a shielded housing that detachably receives the source container, and an extension connected to the shielded housing, such that an opening of the extension covers a beam aperture of the shielded housing. The shaft handle is configured to move the gamma source holder between a non-deployed position, in which the gamma source holder is surrounded by the source container, to a deployed position, in which the gamma source holder extends from the source container into the shielded housing.

Abstract: Invention deals with a macular carotenoid formulation comprising Carotenoids, Lutein, Zeaxanthin, Meso Zeaxanthin, Beta Carotene, Alpha Carotene, Lycopene and Cryptoxanthin in a synergistic combination. The formulation helps in increasing macular pigment optical density (MPOD) related to prevention of age-related macular degeneration (ARMD). The formulation is used as a nutrient, nutraceutical or dietary supplement. The dietary supplement may be formulated as soft gel capsules, two-piece hard-shell capsules, liquid-fill capsules, tablets, effervescent granules, gummies, powder mixes, stick packs, beverages, emulsions, bakery products, dairy products, tinctures, oil suspensions, bead-lets, powders, cold water-soluble powders, emulsions and granules or any combination thereof. The present invention can be used for the development of functional food, dietary plan and as a nutritional supplement.

Abstract: The process comprises treating 90-190 g titanium (IV) chloride in 10-100 ml de-ionized water for preparing Titanium cation (Ti4+); treating 130-275 ml potassium persulfate in 10-100 ml double-distilled water and keeping at constant temperature to obtain sulphate/oxide; dipping substrates into titanium (IV) chloride solution and re-dipping in de-ionized water to remove loosely bonded ions, if could be any; dipping substrates into potassium persulfate solution and re-dipping in de-ionized water to remove loosely bonded ions, if could be any, and keeping at 50-90° C. for complete one cycle; treating obtained Titanium cation (Ti4+) with sulphate/oxide and obtaining whitish layer on the substrate surface by necked eyes after about 10-15 cycles, suggesting initiation of film formation, wherein the deposition thickness of TiO2 layer is increased from 0.3-2.0-micron on determined 5-50 deposition cycles; and rinsing deposited films with de-ionized water and air annealed at 400-600° C.

Abstract: A formation treatment fluid may include a wettability alteration agent, a solvent, an injection gas, and an optional foaming agent. The wettability alteration agent may include a fluorinated surfactant, a silicon-based surfactant, charged nanoparticles partially modified with fluorine containing groups, or combinations thereof. Methods for altering a hydrocarbon-bearing reservoir surface wettability may include providing the formation treatment fluid, injecting the formation treatment fluid into the hydrocarbon-bearing reservoir, and recovering fluids produced from the hydrocarbon-bearing reservoir.

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 may include obtaining, in real-time with a drilling operation, density data regarding a drilling fluid circulating in a wellbore. The method may further include determining mud velocity data of the drilling fluid in the wellbore based on flow rate data and a borehole area of the wellbore. The method may further include determining a cuttings weight of the drilling fluid in the wellbore based on the density data. The cuttings weight and the mud velocity data may correspond to a respective segment length among various segment lengths of the wellbore. The method may further include determining, based on the cuttings weight, the mud velocity data, and a hole cleaning model, various hole cleaning efficiency (HCE) values for the segment lengths of the wellbore. The method may further include determining whether an HCE value among the HCE values fails to satisfy a predetermined criterion.