Abstract: Carbonized cellulose fiber electrodes for high-frequency electrochemical capacitors and method for fabricating the same is disclosed. The method includes carbonizing a cellulose fiber substrate by subjecting the cellulose fiber substrate to a rapid pyrolysis process in a preheated furnace having an inert environment at a pyrolysis temperature of at least 1000° C., resulting in a carbonized cellulose substrate. The method also includes preparing a hydrothermal solution, and depositing vertically oriented nanoflakes on the carbonized cellulose substrate by immersing the carbonized cellulose substrate in the hydrothermal solution and conducting a hydrothermal reaction, thereby forming the electrode. The vertically oriented nanoflakes may be composed of MoS2. The cellulose fiber substrate may be a cellulose tissue sheet.

Abstract: Systems and methods provide a novel computational approach to planning the endovascular treatment of cardiovascular diseases. In particular, the invention simulates medical device deployment and hemodynamic outcomes using a virtual patient-specific anatomical model of the area to be treated, high-fidelity finite element medical device models and computational fluid dynamics (CFD). In an embodiment, the described approach investigates the effects of coil packing density, coil shape, aneurysmal neck size and parent vessel flow rate on aneurysmal hemodynamics. A processor may receive patient clinical data used to construct the relevant anatomical structure model. The processor may access medical device models constructed using finite element analysis and three dimensional beam analysis, and simulates the deployment of selected medical devices in the anatomical structure model.

Abstract: A light emitting device includes a first electrode, a hole transporting layer in contact with the first electrode, a second electrode, an electron transporting layer in contact with the second electrode; and an emissive layer between the hole transporting layer and the electron transporting layer. The emissive layer includes a metal-assisted delayed fluorescent (MADF) emitter, a fluorescent emitter, and a host, and the MADF emitter harvests electrogenerated excitons and transfers energy to the fluorescent emitter.

Abstract: A soft wearable medical device may comprise a force actuation system at least partially disposed in a glove assembly. The force actuation system may be a passive or active actuation system. The force actuation system may be configured to adjust a grip of a patient during use of the soft wearable medical device. The soft wearable medical device may further comprise a force indication system including a plurality of force sensors and a light array, each force sensor disposed in a finger of the glove assembly and the light array mounted to the glove assembly.

Abstract: Examples of implementation and training of artificial intelligence models developed with self-supervised learning for medical image analysis are disclosed. The models as trained leverage training from discriminative learning, restorative learning, and adversarial learning in a unified manner to glean complementary visual information from unlabeled medical images for fine-grained semantic representation learning. The models as trained provide features suitable for generalizable representation of medical input images many organs, diseases, and modalities.

Abstract: An enhanced capture structure is disclosed, including a sorbent structure having a CO2 sorbent material. The capture structure also includes a plurality of barriers extending outward from the sorbent structure, each sized and positioned such that as an airflow passes along the sorbent structure, a high pressure region forms proximate the sorbent structure on a first side of the barrier facing into the airflow and a low pressure region forms proximate the sorbent structure on a second side of the barrier facing away from the airflow. The barriers on one side of the sorbent structure are staggered with respect to barriers on the other side such that a plurality of high and low pressure regions are formed, each high pressure region being formed opposite a low pressure region on the other side of the structure, creating a pressure differential that promotes CO2 mass transfer into the sorbent material via convection.

Abstract: Described herein are systems, methods, and apparatuses for actively and continually fine-tuning convolutional neural networks to reduce annotation requirements, in which the trained networks are then utilized in the context of medical imaging. The success of convolutional neural networks (CNNs) in computer vision is largely attributable to the availability of massive annotated datasets, such as ImageNet and Places. However, it is tedious, laborious, and time consuming to create large annotated datasets, and demands costly, specialty-oriented skills. A novel method to naturally integrate active learning and transfer learning (fine-tuning) into a single framework is presented to dramatically reduce annotation cost, starting with a pre-trained CNN to seek “worthy” samples for annotation and gradually enhances the (fine-tuned) CNN via continual fine-tuning.

Abstract: Provided herein are methods of differentiating cell types in a cell population. The methods include removing at least some non-Chimeric Antigen Receptor (CAR)-T cells from a fluidic sample obtained from a subject without centrifuging the fluidic sample to produce a purified fluidic sample. The fluidic sample comprises CAR-T cells and the non-CAR-T cells. The methods also include capturing cells in the purified fluidic sample on a surface that comprises binding moieties that bind at least to the CAR-T cells to produce a captured cell population. In addition, the methods also include distinguishing the CAR-T cells from the non-CAR-T cells in the captured cell population using a trained machine learning model to produce a captured CAR-T cell population data set. Additional methods as well as related devices and systems are also provided.

Abstract: Multi-stage distributed beamforming for distributed mosaic wireless networks is provided. Embodiments described herein present systems, devices, and methods that provide increased range, data rate, and robustness to interference and jamming. A distributed mosaic wireless network includes a transmitter, a receiver, and one or more distributed clusters of radios referred to herein as mosaics or relay mosaics. Each mosaic consists of several distributed, cooperative radio transceivers (e.g., mosaic nodes) that relay a signal sent by the transmitter towards the receiver. In some embodiments, a single-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to the receiver. In some embodiments, a multi-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to a second mosaic, which then relays this signal by beamforming to the receiver.

Abstract: The present disclosure relates to methods for monitoring effectiveness of a treatment of an autism spectrum disorder (ASD) by analyzing an ASD patient's gut microbiota based on stool samples. Also provided are software for implementing the methods, and kits for performing the methods.

Abstract: The present disclosure provides systems and methods for separating one or more analytes within a fluid mixture, and characterizing and/or detecting properties associated with the one or more analytes. In some embodiments, the systems provided herein contain a dielectrophoresis device, such as a gradient insulator-based dielectrophoresis device (g-iDEP). The present disclosure provides systems and methods for separating and characterizing analytes using particle or nanoparticle tracking analysis (NTA). NTA offers various advantages because, particle size and concentration can be calculated in real time, allowing label-free and simultaneous characterization and separation of samples with mixed and unknown analytes.

Abstract: Disclosed are systems and methods for delivering and/or linking molecules, such as DNA, between tunable metal nanogaps and measuring electrical and/or optical properties. In one example, disclosed are high density multiplexed chips with a plurality of groups, each group including a plurality of nanodevices, the chips capable of coupling to one or more multiwell structures for providing samples to each individual group. In this way, the chips can be used for high-throughput analysis of molecules such as DNA.

Abstract: This disclosure addresses the single-image compressive sensing (CS) and reconstruction problem. A scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) facilitates high-fidelity, flexible and fast CS image reconstruction. LAPRAN progressively reconstructs an image following the concept of the Laplacian pyramid through multiple stages of reconstructive adversarial networks (RANs). At each pyramid level, CS measurements are fused with a contextual latent vector to generate a high-frequency image residual. Consequently, LAPRAN can produce hierarchies of reconstructed images and each with an incremental resolution and improved quality. The scalable pyramid structure of LAPRAN enables high-fidelity CS reconstruction with a flexible resolution that is adaptive to a wide range of compression ratios (CRs), which is infeasible with existing methods.

Abstract: The present invention provides a method of culturing microorganisms normally grown on a solid in liquid media, methods of use thereof to determine the presence or absence of the microorganism in a sample, and methods of use in a mutation accumulation assay.

Abstract: A fast-tracking phase-locked-loop (PLL) with an analog mixer for phase detection and correction is provided. A frequency lock loop architecture as described herein is used for a PLL that can lock the phase of a local oscillator to an input reference signal of arbitrarily high frequency, even if the local oscillator and the input reference signal frequencies are originally very far apart. To accommodate arbitrarily high frequency input reference signals, embodiments use an analog mixer for the phase detector, rather than a phase-frequency detector (PFD). The analog mixer can be designed to operate on input signals with frequencies of 10's of GHz, whereas the PFD is limited to input frequencies of less than 1 GHz. Embodiments use a new architecture utilizing the concept of Hartley Image Rejection receiver architecture in a frequency lock loop, which enables the PLL to adjust the local oscillator frequency to be brought within the frequency locking range of the analog mixer.

Abstract: The present disclosure provides a method of biocementation comprising contacting a granular, cohesionless soil with a solution, wherein the solution comprises urea, urease, a source of calcium ions, and a source of non-urease proteins, wherein the urea, urease, source of calcium ions, and source of non-urease proteins are provided in effective amounts suitable to cause crystallization of calcium carbonate.

Abstract: Compositions and methods relating to a panel of antigen biomarkers for the early detection of ovarian cancer. The compositions and methods encompass antigen biomarkers coupled to a substrate, with the biomarkers being selected from the group consisting of one or more of ICAM3, CTAG2, p53, STYXL1, PVR, POMC, NUDT11, TRIM39, UHMK1, KSR1, and NXF3.

Abstract: A generic unified deep model for learning from multiple tasks, in the context of medical image analysis includes means for receiving a training dataset of medical images; training the AI model to generate a trained AI model using a pre-processing operation, a Swin Transformer-based segmentation operation, and a post-processing operation, in which application of a Non-Maximum Suppression (NMS) algorithm generates object detection and classification output parameters for the AI model by removing overlapping detections and selecting a best set of detections according to a determined confidence score for the detections remaining; and outputting the trained AI model for use with medical image analysis.

Abstract: A robot includes four compliant, laminated fiberglass-composite legs that enable tuning passive parallel and series compliance of each leg. The legs of the robot are impactful on the performance of its locomotion for gaits like pronking and trotting, demonstrating the robot's potential for tuning and optimizing leg stiffness for niche and specialized applications.

Abstract: Provided herein is a method of detecting microorganisms in liquid samples using image features, such as time profiles of object light scattering intensity and time profiles of object position. Related methods, devices, systems, and other aspects are also provided.