Abstract: A developing cartridge includes: a cartridge body for accommodating developers; a driving part at a first end in a first direction; a developing roller rotatable about a rotation axis extending along the first direction and positioned at a third end in a second direction; a storage medium for storing information; an electrical contact surface electrically connected to the storage medium and fixed relative to the cartridge body, and a lifting element configured to lift up the cartridge body in the third direction. The electrical contact surface is positioned at the first end in the first direction and is farther away from the developing roller relative to the driving part. The lifting element is farther away from the developing roller in the second direction away from the driving part.

Abstract: A developing cartridge includes: a cartridge body for accommodating developers; a driving part at a first end in a first direction; a developing roller rotatable about a rotation axis extending along the first direction and positioned at a third end in a second direction; a storage medium for storing information; an electrical contact surface electrically connected to the storage medium and fixed relative to the cartridge body, and a lifting element configured to lift up the cartridge body in the third direction. The electrical contact surface is positioned at the first end in the first direction and is farther away from the developing roller relative to the driving part. The lifting element is farther away from the developing roller in the second direction away from the driving part.

Abstract: Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying asymptomatic patients into a risk category for having or developing cancer and/or classifying a patient with an increased risk of having or developing cancer into an organ system-based malignancy class membership and/or into a specific cancer class membership.

Abstract: Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying asymptomatic patients into a risk category for having or developing cancer and/or classifying a patient with an increased risk of having or developing cancer into an organ system-based malignancy class membership and/or into a specific cancer class membership and/or a category with a time range for follow up testing or reclassification with newly measured input factors.

Abstract: A thick-film resistor component may include a thick film component formed between a thick-film resistor and an electrically conductive sheet, wherein a portion of the sheet is selectively removed to form resistor contacts while exposing a portion of the thick-film component. Electrical terminals to a thick-film resistor may be sized to reduce stress and/or be selectively positioned relative to the resistor to define a desired resistor value. A thick-film resistor may include one or more resistor segments configured to be selectively open-circuited to incrementally adjust the value of the resistor.

Abstract: A circuit for measuring mechanical stress impressed on a printed circuit board includes a number of electrically conductive pads formed on at least one outer surface of the printed circuit board, and a resistive material applied in a pattern to the printed circuit board and defining a resistor between first and second ones of the number of electrically conductive pads. The resistive material exhibits an electrical resistance that varies as the resistive material is deformed so that the resistor exhibits an electrical resistance value that varies as a function of mechanical stress impressed on the printed circuit board sufficient to deform the resistive material defining the resistor. Any number of such resistors may be formed on or within the printed circuit board, and any such resistor may form part of an external resistor bridge network configured to monitor changes in its resistance value.

Abstract: A thick-film resistor component may include a thick film component formed between a thick-film resistor and an electrically conductive sheet, wherein a portion of the sheet is selectively removed to form resistor contacts while exposing a portion of the thick-film component. Electrical terminals to a thick-film resistor may be sized to reduce stress and/or be selectively positioned relative to the resistor to define a desired resistor value. A thick-film resistor may include one or more resistor segments configured to be selectively open-circuited to incrementally adjust the value of the resistor.

Abstract: A circuit for measuring mechanical stress impressed on a printed circuit board includes a number of electrically conductive pads formed on at least one outer surface of the printed circuit board, and a resistive material applied in a pattern to the printed circuit board and defining a resistor between first and second ones of the number of electrically conductive pads. The resistive material exhibits an electrical resistance that varies as the resistive material is deformed so that the resistor exhibits an electrical resistance value that varies as a function of mechanical stress impressed on the printed circuit board sufficient to deform the resistive material defining the resistor. Any number of such resistors may be formed on or within the printed circuit board, and any such resistor may form part of an external resistor bridge network configured to monitor changes in its resistance value.