Abstract: A steer by wire system includes at least a steering wheel actuator for operating steering wheel and steering column. The steering wheel actuates the steering wheel actuator by way of a brushless DC motor. The steering wheel actuator adjusts the steering column in a tilt direction by way of a first brushed DC motor and in a telescopic direction by way of a second brushed DC motor. The first brushed DC motor and the second brushed DC motor are configured to operate via two separate H bridges having a shared arm of switches. The brushless DC motor is configured to operate with two three-phase H bridges of which one three-phase H bridge is the network of switches of the first brushed DC motor and the second brushed DC motor.

Abstract: Embodiments of the present disclosure generally relate to apparatus and methods for reducing substrate backside damage during semiconductor device processing. In one implementation, a method of chucking a substrate in a substrate process chamber includes exposing the substrate to a plasma preheat treatment prior to applying a chucking voltage to a substrate support. In one implementation, a substrate support is provided and includes a body having an electrode and thermal control device disposed therein. A plurality of substrate supporting features are formed on an upper surface of the body, each of the substrate supporting features having a substrate supporting surface and a rounded edge.

Abstract: Various devices, such as storage devices or systems are configured to efficiently process and update logical mappings within control table sets. Control table sets are often groupings of logical mapping corresponding to the logical locations of data requested by a host-computing device and the physical locations of the data within the memory array. As data is written and erased, these mappings must be updated within the control table set. Received changes to these mappings are typically stored and updated in two locations: a cache memory and a control table update list. By tracking and marking various control table sets as dirty or having undergone multiple changes, additional received updates can be stored and updated in only the cache memory, bypassing the second control table change list. By only utilizing one method of updating control table sets, processing overhead is reduced and various read or write activities are more efficiently done.

Abstract: A data storage device and method for lane selection based on thermal conditions are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to determine that action is needed to control a thermal state of the data storage device; and in response to determining that action is needed to control the thermal state of the data storage device, send a request to a host to reduce a number of lanes the host uses to communicate with the data storage device, wherein reducing the number of lanes reduces an amount of heat generated by the data storage device. Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

Abstract: A cleaning brush for a semiconductor fabrication process is provided. The cleaning brush includes a core and a brush member. The core includes a circumferential portion and a closed end portion. The circumferential portion surrounds a rotation axis of the cleaning brush and defines an inlet opening for receiving a fluid. The closed end portion is connected to an end of the circumferential portion that is opposite to the inlet opening along the rotation axis. At least one elongated conduit is defined within the core and fluidly communicated with the inlet opening, and the circumferential portion includes a plurality of outlet channels passing therethrough to fluidly communicate with the elongated conduit, the outlet channels being tilted outwardly toward the closed end portion. The brush member is connected to an outer surface of the circumferential portion and covers all of the outlet channels.

Abstract: One embodiment provides a system and method for transporting quantum datagrams over a network. During operation, a quantum datagram is obtained at a network node. The quantum datagram can include a wrapper and an optical quantum data payload, with the wrapper comprising classical non-quantum optical bits and the quantum data payload comprising quantum bits (qubits). The system separates the wrapper from the quantum data payload such that the classical bits included in the wrapper are processed while the qubits included in the quantum data payload remain undisturbed, and makes a forwarding decision for the quantum datagram based on the processed wrapper.

Abstract: An example of a flow cell includes a substrate, a plurality of chambers defined on or in the substrate, and a plurality of depressions defined in the substrate and within a perimeter of each of the plurality of chambers. The depressions are separated by interstitial regions. Primers are attached within each of the plurality of depressions, and a capture site is located within each of the plurality of chambers.

Abstract: Embodiments herein disclose methods for selecting a frequency band in (MHS) for a UE. These methods may include determining, by the UE, one or more parameters, wherein the one or more parameters may include at least one of: signal strength parameters, connectivity conditions of the UE in relation to the client device, and a data consumption capability of the UE, then mapping, by the UE, one or more parameters of the UE to at least one of a cell identity (ID), an Access point ID in case of Wi-Fi sharing (AP ID), and a geolocation of the UE, while connecting with the client device, and selecting, by the UE, the frequency band from a plurality of frequency bands based on at least one of the mapped cell ID or application ID and the geolocation of the UE.

Abstract: This disclosure relates to catalyst compositions comprising a metal complex and aromatic bottoms comprising C9+ hydrocarbons, methods of forming catalyst compositions, and methods of hydrocracking petroleum compositions.

Abstract: A method performed by a Distributed Unit, DU, node for handling a message in a communication between a User Equipment, UE, the DU node and a Central Unit, CU, node. The DU node obtains a secondary security key from a network node. The secondary security key is associated with the DU node. The DU node receives the message from the UE or the CU node. The message is security protected with one or both of a first security key, and the secondary security key. The message or a part of the message, is not possible to use by the DU node when security protected with the first security key. The DU node determines that at least a part of the message is security protected with the secondary security key. The DU node uses the at least the part of the message security protected with the secondary security key.

Abstract: Provided are polynucleotides encoding variants of nitrous oxide reductase proteins, recombinant microorganisms including a foreign gene encoding a variant of a nitrous oxide reductase protein, and a composition comprising the recombinant microorganism or the variant of a nitrous oxide reductase protein for use in removing nitrous oxide in a sample.

Abstract: An in-memory computation circuit includes a memory array with SRAM cells connected in rows by word lines and in columns by bit lines. A row controller circuit simultaneously actuates word lines in parallel for an in-memory compute operation. A column processing circuit includes a clamping circuit that clamps a voltage on the bit line to a level exceeding an SRAM cell bit flip voltage during execution of the in-memory compute operation. The column processing circuit may further include a current mirroring circuit that mirrors the read current developed on each bit line in response to the simultaneous actuation to generate a decision output for the in-memory compute operation. The mirrored read current is integrated by an integration capacitor to generate an output voltage that is converted to a digital signal by an analog-to-digital converter circuit.

Abstract: Various methods, apparatuses/systems, and media for detecting login fraud based on a machine learning model are disclosed. A processor creates a machine learning model configured to be trained to generate a score based on user's biometrics data and a pattern of activity logs data of the user; trains the machine learning model with the user biometrics data and the pattern of activity logs data in real-time; receives user credentials data from the user for login attempt into a system; compares the received user credentials data with the biometrics data and the pattern of activity logs data of the user stored on a database and the machine learning model; and generates the score, in response to comparing, by utilizing the trained machine learning model. The score is a value that the processor compares with a predetermined threshold value to determine in real-time whether the login attempt is fraudulent.

Abstract: Memory devices might include an array of memory cells, a plurality of access lines, and control logic. The array of memory cells includes a plurality of strings of series-connected memory cells. Each access line of the plurality of access lines is connected to a control gate of a respective memory cell of each string of series-connected memory cells of the plurality of strings of series-connected memory cells. The control logic is configured to: open the array of memory cells for multiple read operations; read first page data from respective memory cells coupled to a selected access line of the plurality of access lines; read second page data from the respective memory cells coupled to the selected access line; and close the array of memory cells subsequent to reading the first page data and the second page data.

Abstract: A computer system is providing financial recommendations for investors with preferences for non-financial characteristics, by measuring the dependence of a client's financial risk-aversion on non-financial factors referred to as ‘context specific risk-aversion’, and using the context-specific risk-aversion to compute recommended financial securities for investment. Amongst the non-financial factors (contexts) are those related to the values-based factors, often those relating to the environmental, social, or governance (ESG) performance of corporations. On a client computer system, a user interface is provided that displays a stochastic financial outcome with coincident (fixed or stochastic) non-financial outcome(s) forming a context, and displays an input field where the client user inputs data encoding their degree of acceptance for the outcomes presented thus risk-preference. The client computer system transmits the encoded context specific risk preferences to a communicatively coupled server system.

Abstract: Systems, methods, and devices select antennas to enhance the range and throughput of wireless communications devices. Methods include identifying a plurality of combinations of antennas based on a plurality of available antennas for a wireless communications device, and generating, using a processing device included in a multiple-input-multiple-output (MIMO) device, a plurality of quality metrics including at least one quality metric for each of the identified combinations of antennas, where each of the at least one quality metrics represents a signal quality of a signal associated with each of the plurality of antennas, and wherein the signal is a spatial stream. Methods further include selecting at least two antennas from the plurality of combinations of antennas based, at least in part, on the plurality of quality metrics, where the at least two antennas are selected for use by the wireless communications device during a transmitting or receiving operation.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The computing device also includes a processor to execute the instructions to perform operations that include receiving data representing one or more user-selected item attributes. The data includes one of at least four selectable interest levels for each of the one or more user-selected item attributes. Operations also include identifying one or more items representative of the selected interest level for each of the one or more user-selected item attributes, and initiating delivery of data representing the identified one or more items for user selection.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for utilizing a new memory allocation function library called PmemMalloc. For example, the PmemMalloc library allocates pre-allocated, partitioned, and fixed shared memory blocks. In addition, by utilizing the PmemMalloc library, the memory allocation system described herein overcomes problems with persistence and enumeration that encumber existing malloc libraries. Indeed, the PmemMalloc library enables the memory allocation system to perform servicing computation in parallel across multiple CPU cores/threads, distribute computation equally among threads, prioritize servicing, among other improvements. Notably, the PmemMalloc library provides major constructs (e.g., persistence, enumeration, and debuggability) not available existing malloc libraries.

Abstract: A method, computer system, and a computer program for data selection is provided. The present invention may include generating a first model associated with a dataset. The present invention may further include determining a first model performance level associated with the first model based on a plurality of dataset metric values of the dataset. The present invention may further include a plurality of data subsets of a dataset based on the first model performance level failing to exceed a performance threshold and calculating a plurality of subset metric values associated with the plurality of data subsets. The present invention may further include generating a second model associated with at least one data subset based on the plurality of subset metric values and determining an optimization associated with the first model based on a second model performance level associated with the second model exceeding the performance threshold.

Abstract: A mobile computing device includes: a wireless communications interface configured to connect to a network deployed by one or more access points; a controller for the wireless communications interface, the controller configured to: send a buffer indicator to the network to buffer incoming packets destined for the mobile computing device; move away from a home access point to which the mobile computing device is connected; accumulate outgoing packets destined for transmission to the network while the mobile computing device is away from the home access point; connect to a destination access point; transmit the outgoing packets to the destination access point; and after the outgoing packets are transmitted to the destination access point, send a release indicator to the network to release the buffered incoming packets for the mobile computing device.