Aggressor rows may be detected by comparing access count values of word lines to a threshold value. Based on the comparison, a word line may be determined to be an aggressor row. The threshold value may be dynamically generated, such as a random number generated by a random number generator. In some examples, a random number may be generated each time an activation command is received. Responsive to detecting an aggressor row, a targeted refresh operation may be performed.

A memory sub-system configured to use first values of a plurality of optimized read voltages to perform a first read calibration, which determines second values of the plurality of optimized read voltages. A plurality of shifts, from the first values to the second values respectively, can be computed for the plurality of optimized read voltages respectively. After recognizing a pattern in the plurality of shifts that are computed for the plurality of voltages respectively, the memory sub-system can control and/or initiate a second read calibration based on the recognized pattern in the shifts.

Methods, systems, and devices for modifying memory bank operating parameters are described. Operating parameter(s) may be individually adjusted for memory banks or memory bank groups within a memory system based on trimming information. The local trimming information for a memory bank or memory bank group may be stored in a fuse set that also stores repair information for the particular memory bank or in a fuse set that also stores repair information for a memory bank in the particular memory bank group. The local trimming information may be applied to operating parameters for particular memory banks or memory bank groups relative to or instead of global adjustments applied to operating parameters of multiple or all of the memory banks in the memory system.

Methods of monitoring and controlling a molding process using a sensed change in strain provided by a strain gauge are provided. A target strain profile is created for a molding process of a molding apparatus. An upper and lower deviation limit from the target strain profile for the molding process is provided. If a sensed change in strain exceeds a deviation limit, an alarm is activated.

Methods of monitoring and controlling a molding process using a sensed change in strain provided by a strain gauge are provided. A target strain profile is created for a molding process of a molding apparatus. An upper and lower deviation limit from the target strain profile for the molding process is provided. If a sensed change in strain exceeds a deviation limit, an alarm is activated.

Methods of maintaining a state of a memory cell without interrupting access to the memory cell are provided, including applying a back bias to the cell to offset charge leakage out of a floating body of the cell, wherein a charge level of the floating body indicates a state of the memory cell; and accessing the cell.

A method can include, in response to a power supply voltage transition, setting a temperature window to a first temperature range by operation of a temperature circuit formed on a semiconductor device. In response to a temperature of the semiconductor device being determined to be outside of the first temperature range, changing the temperature range of the temperature window until the temperature of the semiconductor device is determined to be within the temperature window.

A method can include, in response to a power supply voltage transition, setting a temperature window to a first temperature range by operation of a temperature circuit formed on a semiconductor device. In response to a temperature of the semiconductor device being determined to be outside of the first temperature range, changing the temperature range of the temperature window until the temperature of the semiconductor device is determined to be within the temperature window.

Systems, apparatuses, and methods related to organizing data to correspond to a matrix at a memory device are described. Data can be organized by circuitry coupled to an array of memory cells prior to the processing resources executing instructions on the data. The organization of data may thus occur on a memory device, rather than at an external processor. A controller coupled to the array of memory cells may direct the circuitry to organize the data in a matrix configuration to prepare the data for processing by the processing resources. The circuitry may be or include a column decode circuitry that organizes the data based on a command from the host associated with the processing resource. For example, data read in a prefetch operation may be selected to correspond to rows or columns of a matrix configuration.

Methods, systems, and devices for data-based polarity write operations are described. A write command may cause a set of data to be written to a set of memory cells. To write the set of data, a write operation that applies voltages across the memory cells based on a logic state of data to be written to the memory cells may be used. During a first interval of the write operation, a voltage may be applied across a memory cell based on a logic state of a data bit to be written to the memory cell. During a second interval of the write operation, a voltage may be applied across the memory cell based on an amount of charge conducted by the memory cell during the first interval.