Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

Abstract: A system enables interactive real-time refreshable tactile graphics and braille together enabling blind or visually impaired users to experience and interact with graphics and visual events live and in three dimensions. The tactile graphic display can set each pin in an array of pins to different intermediate heights, enabling users to experience topographical maps and other graphical elements such as shades and color represented as varying heights of pins. The system can simultaneously display high quality of tactile graphics and braille while allowing direct interaction with all digital media—providing real-time refreshable graphics and text in braille. The touch capability of the system enable users to point to any text on the graphic display and have it be instantly rendered in braille on the braille display, thus creating completely new paradigms for reading and creating content.

Abstract: Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

Abstract: A combustion device includes a combustion chamber with an outer wall enclosing a combustion space that can contain a fuel source on an adjustable fuel rack, side walls, a lower air jet tube and at least one air upper jet tube, a top opening, a grill top assembly to cover the opening, and a detachable power module. The power module can have batteries and a blower. The blower can force ambient air into a manifold, through the jet tubes, through ports in the jet tubes, and into the combustion chamber.

Abstract: Systems and methods are provided for determining an estimated risk of arrhythmia during or after dialysis based on changes in serum potassium concentration of a patient and an amount of fluid removed from the patient during dialysis. The systems and methods allow for a determination of a risk that arrhythmia will occur due to the changes in potassium and fluid volume of a patient during dialysis, and for optimizing a dialysis prescription in order to minimize the risk of arrhythmia.

Abstract: A combustion device includes a combustion chamber with an outer wall enclosing a combustion space that can contain a fuel source on an adjustable fuel rack, side walls, a lower air jet tube and at least one air upper jet tube, a top opening, a grill top assembly to cover the opening, and a detachable power module. The power module can have batteries and a blower. The blower can force ambient air into a manifold, through the jet tubes, through ports in the jet tubes, and into the combustion chamber.

Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

Abstract: A system and method for determining the amount of fluid to be removed from a dialysis patient is disclosed. The system utilizes sensors and a computer. The computer obtains the input parameters from the sensors, along with information added directly by the user, and performs a forward algorithm to determine a recommended change in patient fluid level. As fluid is removed, the effect of the removal on the parameters is detected by the sensors and re-transmitted back to the computer. The computer then performs a backward algorithm to refine the variables used in the forward algorithm and obtain more accurate results. The system and method provide for changing the amount of fluid removed from the patient based on the results of the algorithm and the data received from the sensors.

Abstract: Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

Abstract: Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

Abstract: A method of deep learning from real world and digital exemplars includes determining, by one or more processors of a computer system, a style component of a digital environment of a game platform, combining, by the one or more processors of the computer system, the style component with content derived from a real world exemplar, morphing, by one or more processors of a computer system, the real world exemplar to an augmented digital exemplar of the game platform, and adapting, by the one or more processors of the computer system, at least one deep learning algorithm to accomplish at least one of the determining, combining and morphing.

Abstract: A medical monitoring device for monitoring electrical signals from the body of a subject is described. The medical monitoring device monitors electrical signals originating from a cardiac cycle of the subject and associates each cardiac cycle with a time index. The medical monitoring device applies a forward computational procedure to generate a risk score indicative of hyperkalemia, hypokalemia or arrhythmia of the subject. The medical monitoring device can adjust the forward computational procedure based upon clinical data obtained from the subject.

Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

Abstract: A method of deep learning from real world and digital exemplars includes determining, by one or more processors of a computer system, a style component of a digital environment of a game platform, combining, by the one or more processors of the computer system, the style component with content derived from a real world exemplar, morphing, by one or more processors of a computer system, the real world exemplar to an augmented digital exemplar of the game platform, and adapting, by the one or more processors of the computer system, at least one deep learning algorithm to accomplish at least one of the determining, combining and morphing.

Abstract: A medical monitoring device for monitoring electrical signals from the body of a subject is described. The medical monitoring device monitors electrical signals originating from a cardiac cycle of the subject and associates each cardiac cycle with a time index. The medical monitoring device applies a forward computational procedure to generate a risk score indicative of hyperkalemia, hypokalemia or arrhythmia of the subject. The medical monitoring device can adjust the forward computational procedure based upon clinical data obtained from the subject.

Abstract: Systems and methods of generating peritoneal dialysate are provided. The systems and methods use a water purification module, a sterilization module and concentrates to prepare a bolus of peritoneal dialysate from source water for use with an non-integrated cycler.

Abstract: Systems and methods are provided for determining an estimated risk of arrhythmia during or after dialysis based on changes in serum potassium concentration of a patient and an amount of fluid removed from the patient during dialysis. The systems and methods allow for a determination of a risk that arrhythmia will occur due to the changes in potassium and fluid volume of a patient during dialysis, and for optimizing a dialysis prescription in order to minimize the risk of arrhythmia.

Abstract: Systems and methods are provided for determining an estimated risk of arrhythmia during or after dialysis based on changes in serum potassium concentration of a patient and an amount of fluid removed from the patient during dialysis. The systems and methods allow for a determination of a risk that arrhythmia will occur due to the changes in potassium and fluid volume of a patient during dialysis, and for optimizing a dialysis prescription in order to minimize the risk of arrhythmia.

Abstract: Methods include monitoring indicators of blood pH or blood electrolyte levels during a blood fluid removal session and adjusting concentrations of pH buffers or electrolytes in dialysate or replacement fluid used during the session based on the monitored indicators. Blood fluid removal systems may employ sensors that monitor blood pH or electrolyte levels to adjust the fluid parameters during a blood fluid removal session.

Abstract: A medical monitoring device for monitoring electrical signals from the body of a subject is described. The medical monitoring device monitors electrical signals originating from a cardiac cycle of the subject and associates each cardiac cycle with a time index. The medical monitoring device applies a forward computational procedure to generate a risk score indicative of hyperkalemia, hypokalemia or arrhythmia of the subject. The medical monitoring device can adjust the forward computational procedure based upon clinical data obtained from the subject.