Abstract: Disclosed are compositions comprising an antibody conjugated to one or more molecular guidance system (MGS) peptides. Disclosed are methods of treating a subject in need thereof comprising administering to the subject in need thereof an effective amount of an antibody conjugated to one or more MGS peptides, wherein the antibody targets an intracellular target involved in the disease process. Disclosed are methods of targeting an intracellular target comprising administering an antibody conjugated to one or more MGS peptides, wherein the antibody targets an intracellular target.

Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

Abstract: Retrosynthetic methods are described for determining one or more optimal synthetic routes to generate a target compound.

Abstract: Disclosed are methods and systems of providing carbon nanotubes decorated with polymer coated metal nanoparticles. Then, annealing the metal coated carbon nanotubes to reduce a quantity of hydrophilic components of the polymer coating.

Abstract: An example antigen test device comprises a genetically engineered diagnostic cell comprising an exogenous polynucleotide sequence including a receptor element that encodes a chimeric antigen receptor (CAR) comprising an extracellular antigen binding domain operably linked to a transmembrane domain, and an intracellular signaling domain that recognizes an antigen on a surface of a pathogen-infected cell from a sample or on a surface of a virus particle associated with a pathogen from the sample, an actuator element that encodes a transcription factor binding site, and an effector element that encodes a detectable reporter protein, wherein, in response to the antigen binding domain of the CAR binding to the antigen, the genetically engineered diagnostic cell is configured to activate and to synthesize the detectable reporter protein.

Abstract: An example genetically engineered electrically-stimulated (ES) cell comprises an exogenous polynucleotide sequence that includes an electrical-sensor element, an actuator element, and an effector element. The electrical-sensor element encodes a voltage-gated calcium ion channel (CaV), wherein the CaV is configured to transition from a closed state to an open state in response to stimulation. The actuator element encodes a transcription factor binding site that upregulates synthesis of an effector protein. The effector element encodes the effector protein, wherein, in response to the transition of the CaV to the open state, the genetically engineered ES effector cell is configured to activate and, to synthesize and secrete the effector protein.

Abstract: Embodiments in accordance with the present disclosure are directed to methods and apparatuses used for slow wave activity (SWA) optimization. An example method includes receiving one or more bio-signals from a user and classifying sleep stages by processing the bio-signals. The method further include determining dominant peripheral nervous system (PNS) oscillations based on the bio-signals and as a function of time and stage of sleep, and characterizing at least one property of the dominant PNS oscillations, including a phase, a phase shift, an amplitude, and/or frequency. The method further include providing an indication of an optimal window for maximizing SWA generation based on the phase, the phase shift, the amplitude, or the frequency. The indication is provided to stimulation circuitry that delivers stimulation to the user within the optimal window. Feedback is provided responsive to the stimulation based on an EEG signal of the user.

Abstract: In general, the disclosure describes techniques for identifying sequences of user actions from event data and logs of user actions for at least one user of a computing system. In one example, a system includes a sequence mining unit that processes event data and logs of user actions for at least one user of a computing system to obtain a set of one or more candidate action sequences each comprising a sequence of one or more user actions. A sequence filtering unit of the system applies, to the set of one or more candidate action sequences, one or more filters informed by a model of user actions for an application domain to obtain a set of one or more filtered action sequences to improve a quality of action sequences identified by the system. An output device of the system outputs an indication of the set of one or more filtered action sequences usable for generating at least one automated workflow or information usable for improving a workflow.

Abstract: A method, apparatus and system for training an embedding space for content comprehension and response includes, for each layer of a hierarchical taxonomy having at least two layers including respective words resulting in layers of varying complexity, determining a set of words associated with a layer of the hierarchical taxonomy, determining a question answer pair based on a question generated using at least one word of the set of words and at least one content domain, determining a vector representation for the generated question and for content related to the at least one content domain of the question answer pair, and embedding the question vector representation and the content vector representations into a common embedding space where vector representations that are related, are closer in the embedding space than unrelated embedded vector representations. Requests for content can then be fulfilled using the trained, common embedding space.

Abstract: In general, this disclosure describes techniques for replacing target cryptographic primitives in executable binary files with other, potentially more secure, cryptographic primitives. In some examples, a computing system for augmenting cryptographic executables includes a locator to determine if an executable program in an executable binary file includes a target cryptographic primitive. The computing system can include a patch generator to generate patch instructions in response to a determination by the locator that the executable program includes the target cryptographic primitive. The patch instructions cause the executable program to execute a replacement cryptographic primitive instead of the target cryptographic primitive. A rewriter engine of the computing system can modify, based on the patch instructions, the executable program to generate a modified executable binary file.

Abstract: Repulsive force created by actuated permanent magnets is used to levitate and transport heavy loads. A bed of permanent magnets is selectively actuated to levitate an array of magnets positioned above the bed, such that the magnets in the levitated array are opposed to the actuated magnets, and of the same magnetic pole, thereby creating a repulsive force. The actuated magnets are vertically offset from magnets in the bed of permanent magnets that have not been raised, thereby imparting maximum levitation forces to the magnets in the levitated array. These systems can levitate and transport objects over level or sloped surfaces, in a straight path or along curves and corners. A bed of magnets can be attached to the floor, or to a set of moving decks that rearrange themselves in a desired path. Our systems can simulate walking or running, similar to a treadmill or virtual gaming platform.

Abstract: Embodiments in accordance with the present disclosure are directed to apparatuses used for reaction screening and optimization purposes. An example apparatus includes a plurality of reaction vessels, a dispensing subsystem, at least one reactor module, an analysis subsystem, an automation subsystem, and control circuitry. The dispensing subsystem delivers reagents to the plurality of reaction vessels for a plurality of reaction mixtures having varied reaction conditions. The at least one reactor module drives a plurality of reactions within the plurality of reaction vessels. The analysis subsystem analyzes compositions contained in the plurality of reaction vessels. The automation subsystem selectively moves the plurality of reaction vessels from a location proximal to the dispensing subsystem to the at least one reactor module based on experimental design parameters. And, the control circuitry identifies optimum reaction conditions for a target end product based on the analysis.

Abstract: Disclosed herein, are compositions comprising one or more a molecular guidance system (MGS) peptides and a cytotoxic agent. Also described herein, are methods of administering the compositions to patients with cancer.

Abstract: Embodiments are directed to a non-transitory computer-readable storage medium comprising instructions that when executed cause processor circuitry to generate a longitudinal dataset of a set of features from tracked physical measurements of a user received from sensor circuitry, apply at least one machine learning model to the longitudinal dataset of the set of features to identify a pattern within the set of features indicative of a probability of the user being in a state of menopause, predict a current state of menopause for the user based on the identified pattern, and communicate a data message indicative of the current state of menopause for the user. In some embodiments, the set of features are compressed to pseudo-features and input to a first ML model using a second ML model.

Abstract: An example genetically engineered natural killer (NK) cell comprises an exogenous polynucleotide sequence that includes a receptor element, an actuator element, and an effector element. The receptor element encodes a chimeric antigen receptor (CAR) comprising an extracellular antigen binding domain operably linked to a transmembrane domain, and an intracellular signaling domain, wherein the extracellular antigen binding domain recognizes a surface antigen of a target cell. The actuator element encodes a transcription factor binding site that upregulates synthesis of an effector protein. The effector element encodes the effector protein operably linked to a signal peptide, wherein, in response to the antigen binding domain of the CAR binding to the antigen of the target cell, the engineered NK cell is configured to activate and, to synthesize and secrete the effector protein.

Abstract: An example binding assay includes a plurality of sub-regions, a plurality of synthetic compounds on beads, wherein each of the plurality of sub-regions includes one of the plurality of synthetic compounds, a biological target labeled with a first detectable label in each of the plurality sub-regions, and a biological counter target labeled with a second detectable label in each of the plurality of sub-regions. The biological counter target is configured to bind to the biological target when the biological target is in a first orientation. And, wherein a first subset of the plurality of synthetic compounds bind to the biological target and effect interactions between the biological target and the biological counter target.

Abstract: An example apparatus includes a pointing structure, a magnetic-contrast bearing, and drive circuitry. The magnetic-contrast bearing is coupled to the pointing structure, and includes a magnetic array and a substrate that is arranged with the magnetic array. The drive circuitry generates a magnetic field that interacts with the magnetic array and causes control of a pointing position of the pointing structure.

Abstract: A computing system includes an interface, a memory, and processing circuitry. The interface is configured to receive, from a production system, a first test stream and a second test stream. The memory is in communication with the interface and is configured to store at least a portion of the first test stream and at least a portion of the second test stream. The processing circuitry is in communication with the memory and is configured to: detect first embedded information in the first test stream representative of a first timestamp and second embedded information in the second test stream representative of a second timestamp; determine, based on the first timestamp and the second timestamp, an offset between the first test stream and the second test stream; output the offset.

Abstract: Systems and methods for forecasting the prominence of various attributes in a future subject matter area are disclosed. An attribute is determined based on inputs received by a computing system. A set of indicators is determined based on the attribute and features extracted from an existing document set. The prominence of the attribute in the existing document set is determined. A prominence estimate of the attribute in a future document set is determined.

Abstract: The disclosed technologies include methods for generating a calibration model using data that is selected to match the conditions of a particular trial that involves an automated comparison of data samples, such as a comparison-based trial performed by an audio-based recognition, identification, or detection system. The disclosed technologies also include improved methods for selecting candidate data used to build the calibration model. The disclosed technologies further include methods for evaluating the performance of the calibration model and for rejecting a trial when not enough matched candidate data is available to build the calibration model. The disclosed technologies additionally include the use of regularization and automated data generation techniques to further improve the robustness of the calibration model.