Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: Techniques to incorporate quality of experience (QoE) in mobility management are disclosed. A user equipment (UE) may provide a QoE report to network (e.g., cell) upon detection of a QoE report triggering event (e.g., mobility management, environmental trigger, etc.). The QoE report may comprise information related to QoE metrics such as uplink (UL) latency, UL throughput, UL error rate, downlink (DL) frequency, DL throughput, DL error rate, handover (HO) frequency, beam switch frequency, UE power consumption, etc. The network may take actions such as sending a mobility management command if it is decided that QoE should be restored to the UE.

Abstract: Provided are a cell strain for producing a biosimilar drug of Ustekinumab and a production method therefor. Specifically, provided is a Chinese hamster ovary cell S cell strain. The cell strain expresses a full human monoclonal antibody directed against the P40 subunit shared by human IL-12 and human IL-23. The fully human monoclonal antibody directed against the P40 subunit shared by human IL-12 and human IL-23 is a biosimilar drug of Ustekinumab, which not only exhibits high consistency with Ustekinumab in pre-clinical research, but also passes pharmacokinetic bioequivalence and safety similarity evaluation in clinical research. The biosimilar drug of Ustekinumab is the first one that has entered clinical trials in China, is the only one that has completed the I stage clinical trial, and is also one of the biosimilar drugs of Ustekinumab, which has the fastest progress in new drug application in the world.

Abstract: A server determines, at a first predetermined time, a default decision as to whether to provide a first media content clip after the end of a first media content item. At a second predetermined time, after the first predetermined time, the server initiates a determination of a first decision as to whether to provide the first media content clip after the end of the first media content item. In accordance with the first decision being reached within a predetermined latency period, the server provides the first media content clip to the first electronic device in accordance with the first decision. In accordance with a determination that the predetermined latency period has elapsed without the first decision being reached, provides the first media content clip to the first electronic device in accordance with the default decision.

Abstract: A method for calculating the steady-state fault current of a modular multilevel converter (MMC) comprises calculating the dc-side critical resistance values RA/B, RB/C and RC/D of the MMC based on the bridge arm inductance coefficient k and the ac-side reactance Xac of the MMC; Then, determining the operating modes of the MMC based on RA/B, RB/C and RC/D, and calculating the steady-state dc fault current and the conduction overlap angle respectively under various operating modes without considering the ac-side resistance based on the parameters k, Us, Rdc and the dc-side critical resistance values RA/B, RB/C and RC/D; After that the steady-state AC fault current amplitude and phase angle for each operating mode without considering the AC side resistance are calculated based on the DC current and conduction overlap angle for each operating mode, respectively. Finally, the steady-state AC fault current amplitude and phase angle are calculated for various operating modes considering the AC side resistance.

Abstract: A method of determining a presence of stratigraphic traps includes obtaining a Gamma ray (GR) log dataset. The GR log dataset includes values for a plurality of wells in an area of interest. The method includes determining a geological time period corresponding to a depth in the GR log dataset; determining a spectrum of Earth’s orbital parameters corresponding to the geological time period; determining peak frequencies of the spectrum of Earth’s orbital parameters; and determining a quantity of orbital cycles per well in the area of interest. The spectrum of Earth’s orbital parameters includes parameters for eccentricity, obliquity, and precession. The orbital cycles may be reflected as sedimentary patterns in a geologic record. The method includes determining a presence of stratigraphic traps, based, at least in part, on differences in quantities of orbital cycles between one or more wells in the area of interest.

Abstract: A method for evaluating reservoir quality of a carbonate rock includes: acquiring a thin section of the carbonate rock with a predetermined thickness; obtaining a microscopic image of the thin section; analyzing the microscopic image of the thin section to determine a content of one or more components of the carbonate rock selected from a group of calcite, pore space, replacive dolomite, dolomite cement, and matrix; and calculating a change of porosity based on the content of the one or more components.

Abstract: The present disclosure relates to a method for protecting DC line impedance phase based on protection and control coordination, and an application scenario of the method for protecting is a three-terminal flexible DC transmission network. The method uses high controllability of a converter after a fault, injects a characteristic signal at a characteristic frequency, and calculates a phase angle of input impedance to determine a fault interval, which effectively improves protection performance, turns passive to active, and is not affected by nonlinearity of the converter. At the same time, compared with a full-bridge MMC, using a half-bridge MMC does not need to perform fault ride-through first when identifying a fault, and does not need to add additional equipment, it creates fault features and can reliably identify an fault interval; improves protection quickness and at the same time also has better economic benefits.

Abstract: A method for calculating the steady-state fault current of a modular multilevel converter (MMC) comprises calculating the dc-side critical resistance values RA/B, RB/C and RC/D of the MMC based on the bridge arm inductance coefficient k and the ac-side reactance Xac of the MMC; Then, determining the operating modes of the MMC based on RA/B, RB/C and RC/D, and calculating the steady-state dc fault current and the conduction overlap angle respectively under various operating modes without considering the ac-side resistance based on the parameters k, Us, Rdc and the dc-side critical resistance values RA/B, RB/C and RC/D; After that the steady-state AC fault current amplitude and phase angle for each operating mode without considering the AC side resistance are calculated based on the DC current and conduction overlap angle for each operating mode, respectively. Finally, the steady-state AC fault current amplitude and phase angle are calculated for various operating modes considering the AC side resistance.

Abstract: A method may include obtaining various well logs or various core samples regarding a geological region of interest. The method may further include determining various permeability values, various porosity values, and various dolomite volume fraction values regarding the geological region of interest using the well logs or the core samples. The dolomite volume fraction values may correspond to a percentage of dolomite in a total mineral volume. The method may further include determining, using the porosity values, various permeability thresholds corresponding to various predetermined reservoir qualities. The method may further include generating, using the permeability thresholds, the permeability values, and the dolomite volume fraction values, a reservoir model including various dolomite boundaries defining the predetermined reservoir qualities. The method may further include determining a hydrocarbon trap prediction using the reservoir model.

Abstract: A metrology system is disclosed. In one embodiment, the metrology system includes a controller communicatively coupled to a reference metrology tool and an optical metrology tool, the controller including one or more processors configured to: generate a geometric model for determining a profile of a test HAR structure from metrology data from a reference metrology tool; generate a material model for determining one or more material parameters of a test HAR structure from metrology data from the optical metrology tool; form a composite model from the geometric model and the material model; measure at least one additional test HAR structure with the optical metrology tool; and determine a profile of the at least one additional test HAR structure based on the composite model and metrology data from the optical metrology tool associated with the at least one HAR test structure.

Abstract: It discloses a ring-connected bridge-type multi-port hybrid DC circuit breaker. When the number of ports is n, n is an integer greater than or equal to 2, the ring-connected bridge-type multi-port hybrid DC circuit breaker includes: an upper DC bus bar, a lower DC bus bar, n thyristor arms, n diode arms, a main breaker branch, and n bypass branches; each thyristor arm connects in series with a diode arm, forming a series circuit; a bypass branch is connected between every two adjacent series circuits, a port is provided at the connection point of the thyristor arm and the diode arm in each series circuit, and the port is used to connect the protected components or the DC lines.

Abstract: Machine learning techniques are used to predict values of fixed parameters when given reference values of critical parameters. For example, a neural network can be trained based on one or more critical parameters and a low-dimensional real-valued vector associated with a spectrum, such as a spectroscopic ellipsometry spectrum or a specular reflectance spectrum. Another neural network can map the low-dimensional real-valued vector. When using two neural networks, one neural network can be trained to map the spectra to the low-dimensional real-valued vector. Another neural network can be trained to predict the fixed parameter based on the critical parameters and the low-dimensional real-valued vector from the other neural network.