Abstract: Machine learning is used to classify a pleasantness of a sound emitted from a device. A plurality of pleasantness ratings from human jurors are received, each pleasantness rating corresponding to a respective one of a plurality of sounds emitted by one or more devices. Differences between each pleasantness rating and each of the other pleasantness ratings is determined via pairwise comparisons. These differences are converted into binary values based on which pleasantness rating is higher or lower in each comparison. Measurable sound qualities are received associated with the sounds. Second differences between each of the measurable sound qualities and every other of the plurality of measured sound qualities is determined in pairwise fashion. A classification model is trained to classify sound pleasantness by comparing the binary values with the second differences.

Abstract: Machine learning is used to predict a pleasantness of a sound emitted from a device. A plurality of pleasantness ratings from human jurors are received, each pleasantness rating corresponding to a respective one of a plurality of sounds emitted by one or more devices. A microphone system detects a plurality of measurable sound qualities (e.g., loudness, tonality, sharpness, etc.) of these rated sounds. A regression prediction model is trained based on the jury pleasantness ratings and the corresponding measurable sound qualities. Then, the microphone system detects measurable sound qualities of an unrated sound that has not been rated by the jury. The trained regression prediction model is executed on the measurable sound quality of the unrated sound to yield a predicted pleasantness of the unrated sound.

Abstract: A head unit device for controlling motion of an object includes a chamber filled with a shear thickening fluid (STF) and a piston. The piston is housed within the chamber and exerts pressure against the STF from a force applied to the piston from the object. The STF is configured to have a decreasing viscosity in response to a first range of shear rates and an increasing viscosity in response to a second range of shear rates. The piston includes at least one piston bypass between opposite sides of the piston that controls flow of the STF between the opposite sides of the piston to selectively react with a shear threshold effect of the first range of shear rates or the second range of shear rates.

Abstract: An in-situ bollard tester. The in-situ bollard tester may comprise: a frame, cable, and tensioner. The frame is preferably adapted to mount onto a pier or wharf and around a bollard to provide structural support for the cable and tensioner. The frame may comprise a rectangular frame, pair of hanging columns, pair of jacks and pair of legs. The pair of jacks are coupled near proximal corners of the rectangular frame and are vertically disposed. The hanging columns are coupled near distal corners of the rectangular frame. The pair of legs are coupled at the lower ends of the hanging columns and are disposed in a horizontal manner. The tensioner may be coupled above the rectangular frame. The cable may fasten to the bollard, and the tensioner may apply tension to the cable at various load angles in order to test the integrity of the bollard.

Abstract: A fluid injector system includes at least one injector for pressurizing and delivering at least one fluid from at least one fluid reservoir, at least one fluid path section in fluid communication with the at least one injector and having a predetermined index of refraction, and a first proximal sensor and a first distal sensor arranged along the at least one fluid path section. Each of the first proximal sensor and the first distal sensor includes an emitter configured to emit light through the at least one fluid path section, and a detector configured to receive the light emitted through the at least one fluid path section and generate an electrical signal based on the received light. The fluid injector system further includes at least one processor programmed or configured to determine, based on a difference in the electrical signals generated by the first proximal sensor and the first distal sensor, at least one property of a content of the at least one fluid path section.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: The present disclosure is directed to alcohol and amine containing exatecan derivatives, and pharmaceutically acceptable salts or solvates thereof, comprising a structure of formula I: wherein X is defined in the disclosure. The disclosure is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of cancers and/or tumors.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a deployment architecture for multi-tenant cloud computing systems. In some implementations, a first cluster of processing nodes is configured to run tenant computing environments on behalf of different tenants. A second cluster of processing nodes runs a deployment controller configured to manage and monitor tenant computing environments allocated for the first cluster of processing nodes. A pool of unassigned computing environments is hosted in the first cluster of processing nodes. After receiving a request for a new environment, the deployment controller running in the second cluster of processing nodes coordinates with one or more modules running in the first cluster of processing nodes to update and assign one of the previously unassigned computing environments to be used.

Abstract: A system includes a processor, wherein the processor is programmed to receive sound information and vibrational information from a device in a first environment, generate a training data set utilizing at least the vibrational information and a sound perception score associated with the corresponding sound of the vibrational information, wherein the training data set is fed into an un-trained machine learning model, in response to meeting a convergence threshold of the un-trained machine learning model, outputting a trained machine learning model, receive real-time vibrational information from the device in a second environment, and based on the real-time vibrational information as an input to the trained machine learning model, output a real-time sound perception score indicating characteristics associated with sound emitted from the device.

Abstract: A system includes a processor in communication with one or more sensors. The processor is programmed to receiving, from the one or more sensors, vibrational information and sound information associated with the vibrational information from a test device, generating a training data set utilizing at least the vibrational data and the sound information associated with the vibrational data, wherein the training data set is sent to a machine learning model configured to output sound predictions, receiving real-time vibrational data from a run-time device running an actuator or electric dive emitting the real-time vibrational data, and based on the machine learning model and the real-time vibrational data, output a sound prediction indicating a purported sound emitted from the run-time device.

Abstract: A mounting device for mounting a sample separation unit configured for separating, preferably chromatographically separating, compounds in a fluidic sample includes a first fluid connector configured for being mechanically and fluidically coupled with a first fluid interface of the sample separation unit, a second fluid connector configured for being mechanically and fluidically coupled with a second fluid interface of the sample separation unit, and a swivel mechanism configured for swivelling the first fluid connector between a mounting orientation for mounting the first fluid interface of the sample separation unit at the first fluid connector and an alignment orientation for aligning the second fluid interface of the mounted sample separation unit with the second fluid connector for subsequently coupling the second fluid interface with the second fluid connector.

Abstract: A method includes, in response to at least one convergence criterion not being met: receiving a labeled dataset that includes a plurality of labeled samples; receiving an unlabeled dataset that includes a plurality of unlabeled samples; identifying a plurality of labeled-unlabeled sample pairs; applying a data augmentation transformation to each labeled sample and each corresponding unlabeled sample; computing, for each least one labeled-unlabeled sample pair, latent representation spaces using the machine learning model; generating, using the machine learning model, a label prediction for each unlabeled sample for each labeled-unlabeled sample pair; computing a loss function for each labeled-unlabeled sample pair of the plurality of labeled-unlabeled sample pairs based on respective latency representation spaces and respective label predictions; applying an optimization function to each respective loss function; and updating a weight value for each labeled-unlabeled sample pair of the plurality of labeled-un

Abstract: An example method of performing memory access operations comprises: receiving a request to perform a memory access operation with respect to a set of memory cells connected to a wordline of a memory device; identifying a block family associated with the set of memory cells; determining, for each logical programming level of a plurality of logical programming levels, a corresponding default block family error avoidance (BFEA) threshold voltage offset value associated with the block family; determining a value of a data state metric associated with the set of memory cells; responsive to determining that the value of the data state metric satisfies a threshold criterion, determining, for each logical programming level of a plurality of logical programming levels, a corresponding sub-BFEA threshold voltage offset value; and performing the memory access operation by applying, for each logical programming level of the plurality of logical programming levels, a combination of the default BFEA threshold voltage value

Abstract: A method for communicating amongst a plurality of peripherals within a mesh network including a first subnet and a second subnet including: receiving an advertisement from one or more peripherals of the plurality of peripherals, the advertisement including a hop count, a subnet identifier, and a unique subnet device identifier, the subnet identifier indicating the first subnet or the second subnet and the unique subnet device identifier indicating a specific peripheral of the plurality of peripherals within the mesh network; triggering a message send event; determining a desired stream direction within the mesh network; determining a desired subnet of the mesh network; determining a destination peripheral of the one or more peripherals within the desired subnet and in the desired stream direction in response to the hop count, the subnet identifier, and the unique subnet device identifier; connecting to the destination peripheral; and sending the message to the destination peripheral.

Abstract: A head unit system for controlling motion of an object includes a secondary object sensor, shear thickening fluid (STF), and a chamber configured to contain a portion of the STF. The chamber further includes a front channel and a back channel. The head unit system further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber.

Abstract: Systems and devices to control linear, rotational, and/or arcuate motion are provided herein. In some examples, a pin system is configured for insertion in a door and/or door jamb, and to control motion of the door, such as a speed with which the door closes. In some examples, a hinge pin is configured to replace a conventional hinge pin and to control motion of the door. In some examples, a hinge system is configured to replace a conventional door hinge and to control motion of the door.

Abstract: A head unit device for controlling motion of an object includes shear thickening fluid (STF), an alternative STF (ASTF), and a chamber configured to contain a portion of the STF and the ASTF. The chamber further includes a piston compartment and an alternative reservoir. The head unit device further includes a reservoir injector configured within the chamber, and a piston housed at least partially radially within the piston compartment. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the reservoir injector to adjust flow of the ASTF from the alternative reservoir to the piston compartment to cause selection of one of a variety of shear rates for a mixture of the STF and the STF within the piston compartment.

Abstract: Systems and devices to control linear, rotational, and/or arcuate motion are provided herein. In some examples, a pin system is configured for insertion in a door and/or door jamb, and to control motion of the door, such as a speed with which the door closes. In some examples, a hinge pin is configured to replace a conventional hinge pin and to control motion of the door. In some examples, a hinge system is configured to replace a conventional door hinge and to control motion of the door.

Abstract: A head unit system for controlling motion of an object includes a set of secondary object sensors and head unit devices that include shear thickening fluid (STF) and a chamber configured to contain a portion of the STF. The chamber further includes a front channel and a back channel. The head unit system further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber.

Abstract: A head unit system for controlling motion of an object includes a secondary object sensor and a head unit device that includes a shear thickening fluid (STF) and a chamber configured to contain a portion of the STF. The chamber further includes an alternative reservoir and a piston compartment. The head unit system further includes a piston housed at least partially radially within the piston compartment. The piston includes a piston bypass to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber.