Abstract: Processing circuitry of a learning platform may be configured to maintain a graph database describing student learners. Processing circuitry may obtain new student learner data and load the data into the graph database. Processing circuitry may receive an engagement or interaction from the new student learner and responsively extract new learnings about the new student learner which are loaded into the graph database. Processing circuitry may receive an inquiry from the new student learner and in response, extract the new student learner data and the new learnings from the graph database and contextualize, using a large language model, a learning unit from the educational content provided by the learning platform as a response to the inquiry using the new student learner data and the new learnings. Processing circuitry may further return the learning unit contextualized by the large language model to the new student learner.

Abstract: A subspace-based approach to synchrophasor estimation is provided. Embodiments described herein provide two improvements to subspace-based phasor measurement unit (PMU) algorithms based on estimation of signal parameters via rotational invariance techniques (ESPRIT) frequency estimation. The first is a dynamic, real-time thresholding method to determine the size of the signal subspace. This allows for accurate ESPRIT-based frequency estimates of the nominal system frequency as well as the frequencies of any out-of-band interference or harmonic frequencies. Since other frequencies are included in the least squares (LS) estimate, the interference from frequencies other than nominal can be excluded. This results in a near flat estimation error over changes in a) nominal system frequency, b) harmonic distortion, and c) out-of-band interference. Second, the computational burden of ESPRIT is reduced and the proposed algorithm runs in real time on resource-constrained platforms.

Abstract: A material for separating and pumping oxygen is disclosed. The material is a zeolite doped with a chemical element having an electron density of between 30 kJ/mol and 150 kJ/mol. The material is configured for controllable oxygen desorption between 150° C. and 300° C. and pumping the released oxygen into an area having an ambient pressure of less than 100 pascals.

Abstract: Methods and formulations for use of phase change materials (PCMs) as coatings or integrated with building materials are disclosed. A formulation comprises an amount of phase change material, for example a mass fraction of about 0.01 to about 0.50. The PCM materials may be applied as a surface treatment such as paint, for example in order to provide improved thermal regulation to a building or a portion thereof.

Abstract: Modified ribosomes that were selected using a dipeptidyl-puromycin aminonucleoside are used to mediate site-specific incorporation of one or more peptides and peptidomimetics into protein in a cell free translation system. In addition, new fluorescent dipeptidomimetics have been synthesized and incorporated into proteins, as well as modified proteins containing one or more non-naturally occurring dipeptides.

Abstract: Systems and methods for providing orientation data to a user during a medical procedure performed on a subject are provided. The system can include a medical device, an electrical component and a display device. The medical device is configured to engage a portion the subject and includes a handle. The electrical component is disposed within the handle and is configured to generate data related to an orientation of the medical device during the medical procedure. The display device is physically separate from the medical device and in communication the electrical component. The display device also includes a processor configured to receive and process the data related to the orientation of the medical device, and display information related to the orientation of the medical device to the user based on the data.

Abstract: Disclosed herein, in certain embodiments, is a method of inhibiting or treating a cancer with use of a TNF expressing myxoma virus. Also disclosed herein are methods of inhibiting or treating a cancer with use of a mononuclear peripheral blood cells and/or a bone marrow cells treated with a TNF-expressing myxoma virus. Some aspects relate to engineered myxoma virus and pharmaceutical compositions for use with one or more of the methods described herein.

Abstract: The disclosure relates to vaccination compositions, for example, against human papillomavirus, Zika virus, and flu virus. The disclosure also relates to vectors for producing the virus-like particles and immune complex platforms of the vaccination compositions.

Abstract: The present disclosure relates to Betulastatin compounds, pharmaceutical compositions and kits comprising such compounds, and methods for using such compounds or pharmaceutical compositions.

Abstract: Compositions including a thermosetting polymer network and a mechanophore covalently bonded to the thermosetting polymer network are provided. Substrates including the compositions are provided. In addition, methods of making the compositions and methods of monitoring stress on a substrate comprising the compositions are provided.

Abstract: Photovoltaic devices with very high breakdown voltages are described herein. Typical commercial silicon photovoltaic devices have breakdown voltages below 50-100 volts (V). Even though such devices have bypass diodes to prevent photovoltaic cells from going into breakdown, the bypass diodes have high failure rates, leading to unreliable devices. A high-efficiency silicon photovoltaic cell is provided with very high breakdown voltages. By combining a device architecture with very low surface recombination and silicon wafers with high bulk resistivity (above 10 ohms centimeter (?-cm)), embodiments described herein achieve breakdown voltages close to 1000 V. These photovoltaic cells with high breakdown voltages improve the reliability of photovoltaic devices, while reducing their design complexity and cost.

Abstract: Provided herein are systems for the label-free detection of target molecules in samples. The systems include a sensor probe positioned in a sensing region and configured to bind to receptors for the target molecules. The systems also include electrodes configured to expose the sensor probe to an alternating electric field, and a light source optically coupled to the sensor probe and configured to provide light along a length of the sensor probe. In addition, the systems also include a position sensitive photodetector configured to detect a position of light exiting the sensor probe, and a processor configured to assess, based at least in part on the position of the light exiting the sensor probe, an amplitude of oscillation of the sensor at a frequency of the alternating electric field and a direction of a displacement of the sensor. Additional systems and related methods are also provided.

Abstract: Disclosed are a dry calibration device for calibrating fluorescent detectors and methods of making and using such a device to obtain accurate calibration of single site and multiplexed fluorescent detectors. The device comprises slides that use phosphorescent material with neural density filters to replicate varying fluorophore concentrations.

Abstract: Described herein are means for generating source models for transfer learning to application specific models used in the processing of medical imaging.

Abstract: A method of adaptively scanning a selected area that includes selecting an imaging mode, performing a scan of the selected area using the imaging mode, detecting an item of interest, automatically selecting a new imaging mode in response to detecting the item of interest, and performing a scan of the item of interest using the new imaging mode. The imaging mode may determine at least one of a scanning pattern, a scanning speed, and a scanning rate. Spectral data and image data may be gathered and used to detect the item of interest. The method may also include providing a scanning spectrometer system that has a gimbal system configured to provide at least two degrees of freedom to the scanning spectrometer system. The gimbal system may have a spectrometer and a camera each mounted on the gimbal system and configured to gather the spectral data and the image data, respectively.

Abstract: A system implements a modeling (ClassGP) and an optimization (ClassBO) framework that models heterogeneous functions with knowledge of individual partitions within classes, i.e., heterogeneous functions including non-stationary functions which can be divided into locally stationary functions over partitions of input space with an active stationary function in each partition. The framework constructs a class likelihood for the class by combining log marginal likelihoods associated with each partition of the plurality of partitions within the class. The framework aims to improve analysis of systems that are characterized by a discrete and finite number of “classes” of behaviors.

Abstract: A wound dressing includes: a structural material formed into a dressing; at least one immunomodulatory agent associated with the dressing; and a growth factor associated with the dressing. A wound dressing kit includes: a structural material formed into a wound dressing; an immunomodulatory agent; and a growth factor composition, wherein the structural material contains the immunomodulatory agent and/or the immunomodulatory agent in a separate composition. A method of treating a wound in a tissue includes: applying an immunomodulatory agent to the wound; applying a wound dressing to the wound; and allowing the wound to heal with the immunomodulatory agent and wound dressing. The application of a growth factor can be before, during and/or after applying the wound dressing to the wound.

Abstract: Processing algae includes liquefying algae to yield a mixture including biocrude oil, biochar, and an aqueous component, and treating the biochar to yield a nutrient composition including ammoniacal nitrogen and phosphate.

Abstract: A system infers continuous potential energy landscapes, including barrier heights and friction coefficients, from smFRET data without the need to discretely approximate a state-space. The system operates within a Bayesian nonparametric paradigm by placing priors on the family of all possible potential curves, and leverages a Structured-Kernel-Interpolation Gaussian Process prior to help curtail computational cost. The system enables decoding information about continuous energy potential landscapes along a continuous coordinate for biological interactions (e.g., protein folding and binding) using a single dataset, including rarely visited barriers between putative potential minima. As such, the system allows resolution enhancement for probing biophysical systems to obtain deeper insight into protein folding, protein binding, and the physics of molecular motors.

Abstract: An example system may implement automated data modeling and scaling of a soil health data fabric. For example, the example system may be configured to compile data measurements from disparate soil health data sources and integrate the data measurements with baseline soil samples, satellite imagery, or both. According to such an example, the system may train a machine learning algorithm using the integrated data measurements to determine most accurate local soil quality estimates and execute the machine learning algorithm to output soil quality estimate data models based on the data measurements. The example system may also train and refine local soil quality estimate data models to generate a regional soil quality estimate data model. In such an example, the system may scale the local and regional soil quality estimate data models and output soil quality estimates for a target region based on extended satellite imagery.