Abstract: A method of diagnosing a conducting structure includes providing the conducting structure in a magnetic field, immersing the conducting structure in a detection medium, or placing a detection medium in the vicinity of the conducting structure, exciting nuclear or electronic spins within the detection medium using a broad-band excitation pulse, receiving an NMR or ESR spectrum from the detection medium, obtaining a frequency distribution of the detection medium, and indirectly measuring internal characteristics of the conducting structure by characterizing frequency changes in the frequency distribution. Conducting structures are analyzed on the basis of changes in magnetic susceptibilities and internal electric current distributions, which may change over the course of a charging/discharging cycle, and a result of degradation and failure of the conducting structure. The conducting structure may be, for example, a battery, a capacitor, a supercapacitor, a fuel cell, or a catalyst material.

Abstract: In an aspect of the present disclosure, a system and method for controlling uterine contractions is disclosed including receiving data from at least one sensor by a wireless apparatus inserted into the patient's vagina adjacent the cervix. The data includes an indication that a contraction of the uterus is imminent. The method further includes in response to receiving the data, causing a generator circuit of the wireless apparatus to supply electrical energy to an energy applicator of the wireless apparatus that is configured to apply the supplied electrical energy to the uterus of the patient via the cervix of the patient to control contractions of the patient's uterus.

Abstract: Provided are polypeptides comprising an enzymatically inactive angiotensin-converting enzyme 2 (ACE2) ectodomain, a segment of an immunoglobulin Fc and optionally a purification tag. A cDNA or an expression vector encoding the polypeptide along with a method of culturing cells comprising the expression vector is also provided. The disclosure also provides a method for prophylaxis or therapy for a Coronavirus infection by administering the polypeptide to an individual in need thereof.

Abstract: A method of training a rodent to identify pairs of same or different odors, whereby the rodent learns the rule irrespective of the particular odors. Once trained, the rodent can be used to measure perceptual odor similarities between members of pairs of odors, which odors may be unrelated to the odors the rodent was trained on.

Abstract: Exemplary embodiments of methods, kits, systems and computer-accessible medium can be provided for facilitating maximum depth enrichment sequencing for identifying rare genomic variants.

Abstract: The present invention is directed to methods of inducing a phenotypic change in a population of monocytes and/or macrophages. The method includes administering to the population of monocytes and/or macrophages, a macrophage stimulating agent coupled to a carrier molecule, wherein the carrier molecule facilitates macropinocytic uptake of the agent by monocytes and macrophages in the population and is defective in neonatal Fc receptor binding, wherein the administering induces a phenotypic change in the monocytes and macrophages in the population.

Abstract: A compound and a method of detecting CLN3 are provided. The compound includes a heavy isotope labeled CLN3 proteotypic peptide. The method includes i) selecting a CLN3 proteotypic peptide that exhibits linear behavior in the mass spectrometer; ii) generating a stable isotope labeled standard; iii) spiking known amounts of the stable isotope labeled standard into a sample to form a spiked sample; iv) determining retention times and establishing calibration curves using the spiked sample; and v) detecting unlabeled selected CLN3 proteins in the sample.

Abstract: A method of treating a subject comprises administering a treatment to a subject identified as having a high probability of distant metastatic recurrence, wherein the probability of distant metastatic recurrence was determined by a process, comprising acquiring at least one image of a tissue sample comprising a plurality of cells, taken from a subject, classifying each of the plurality of cells into categories, dividing the at least one image into a plurality of patches, calculating values for a plurality of morphological features based on the patches, and calculating a distant metastatic recurrence probability based on the values. A computer-implemented method of training a neural network and a system for characterizing a cancer in a subject are also described.

Abstract: The sport data tracking systems available today are based on specialized hardware to detect and track targets on the field. While effective, implementing and maintaining these systems pose a number of challenges, including high cost and need for close human monitoring. On the other hand, the sports analytics community has been exploring human computation and crowdsourcing in order to produce tracking data that is trustworthy, cheaper and more accessible. However, state-of-the-art methods require a large number of users to perform the annotation, or put too much burden into a single user. Example methods, systems and user interfaces that facilitate the creation of tracking data sequences of events (e.g., plays of baseball games) by warm-starting a manual annotation process using a vast collection of historical data are described.

Abstract: An exemplary system, method, and computer-accessible medium for recommending a model(s), can include, for example, receiving a plurality of test models including the model(s), determining if each of the test models has at least one verifier associated therewith, and recommending the model(s) based on the determination. An indication of a stake associated with each of the test models can be received. The stake can be a financial stake or a reputation stake. The financial stake can be a cryptocurrency. At least one of the test models can be analyzed using a machine learning procedure, which can be a convolutional neural network or a recurrent neural network. At least one of the test models can be analyzed using an empirical Bayes procedure. A particular model can be removed if the particular model(s) does not have a verifier(s) associated therewith.

Abstract: An apparatus for sensing includes a computer. The apparatus includes one or more individual sensing tiles in communication with the computer that form a sensor surface that detects force applied to the surface and provides a signal corresponding to the force to the computer which produces from the signal a time varying continuous image of force applied to the surface, where the surface is contiguous, and detected force can be sensed in a manner that is geometrically continuous and seamless on a surface. A method for determining locations of tiles of a sensor.

Abstract: Systems and methods for detecting dielectric changes in matter are provided. The system includes a data collection array to collect microwave scattering data and a machine learning device. The machine learning device is configured to receive the microwave scattering data, patient information, and imaging modality data corresponding to at least one of a presence of disease, absence of disease, or one or more disease features; analyze the microwave scattering data, patient information, and imaging modality data; output at least one of a predicted disease state and predicted features based on the analyzed microwave scattering data, patient information, and imaging modality data; compare the imaging modality data corresponding to the at least one of a presence of disease, absence of disease, or one or more disease features to the predicted disease state or predicted features; and use the comparison as an input into the machine learning device.

Abstract: A reactor system includes at least one reactant provided to perform a reaction. The system includes one or more sensors configured to detect sensor data regarding the reaction. The system includes processing circuitry configured to receive the sensor data from the one or more sensors, apply one or more machine learning models to the sensor data to generate a measurement regarding at least one of the reaction or an activity of at least one catalyst used to perform the reaction, and control at least one of a temperature of the reactor, a flow rate of the at least one reactant, or a concentration of the at least one reactant responsive to the measurement.

Abstract: Novel peptoid oligomers are disclosed that have a formula represented by the following formula Ia or Ib: The peptoid oligomers are prepared as modulators of androgen receptor (AR), and may be prepared as pharmaceutical compositions and used for the prevention or treatment of a variety of conditions in mammals, including humans, associated with unwanted or aberrant AR activity. The present peptoid oligomers are particularly valuable for the treatment of subjects with cancer.

Abstract: An MFR sensor array having a first supporting layer. The array has a second supporting layer. The array has a force sensing component disposed between the first and second supporting layers. The array has protrusions combined with the force supporting component, where there are only two supporting layers. When a force is applied to the second supporting layer, the force causes the second supporting layer to contact protrusions so the force is transmitted through the protrusions to the force supporting component and through the force supporting component. An MFR sensor array. A system for sensing. A method for sensing.

Abstract: The present application provides methods of treating a cancer in a subject who has one or more mutations in the LKB1 pathway.

Abstract: Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.

Abstract: Various methods and compositions of treating 4-hydroxyphenylpyruvate dioxygenase-like (HPDL)-related diseases or disorders are presented herein. Also presented herein are methods of increasing CoQ10 biosynthesis, and methods of determining whether a subject will benefit from a CoQ10 or CoQ10 alternative treatment. Also presented herein are pharmaceutical compositions and dosage forms comprising 4-hydroxymandelic acid (4-HMA), and/or its metabolites. Further presented herein are compounds that inhibit 4-hydroxyphenylpyruvate dioxygenase-like (HPDL). Further presented herein are methods of identifying and/or assessing modulators of HPDL. Yet further presented herein are example methods and systems for isotopic labelling in cells by metabolizing cells in the presence of gaseous isotopic tracer.

Abstract: The present invention relates to antibody-based molecules (including single domain antibody fragment, scFv molecules, antibodies, antibody fragments, diabodies, and the epitope-binding domains thereof) that are capable of immunospecifically and selectively binding to the truncated Asp421 epitope of Tau. Such antibody-based molecules are useful to detect pathological Tau protein conformer if present in a biological sample, especially in conjunction with the diagnosis and/or treatment of Alzheimer's disease or other tauopathy, and thus provide a diagnostic for Alzheimer's disease and other Tau pathologies. The antibody-based molecules of the present invention have particular utility as diagnostic markers for, Alzheimer's disease and related tauopathies and as pharmaceutical compositions for the treatment of such conditions.

Abstract: A synchronous generator can include a rotor. A three-phase high frequency alternating current source or a three-phase low frequency alternating current source can be in communication with the rotor.