Abstract: Disclosed herein are Complement factor H (CFH) inhibitors, such as anti-CFH antibodies and small molecules, and methods of using said inhibitors.

Abstract: A wear-resistant super-hydrophobic composite material and a preparation method therefor are disclosed. The wear-resistant super-hydrophobic composite material includes a substrate and a wear-resistant super-hydrophobic composite material coating layer on the surface of the substrate; the wear-resistant super-hydrophobic composite material coating layer is obtained by curing a precursor for the super-hydrophobic composite material coating layer; the precursor for the super-hydrophobic composite material coating layer includes a gel and an ACNTB-SiO2-coupling agent layer on the surface of the gel; the gel includes an epoxy resin and amino-terminated hyperbranched polysiloxane, or includes an epoxy resin, amino-terminated hyperbranched polysiloxane and an additive; and the additive is an ACNTB-SiO2-coupling agent and/or diglycidyl-ether-terminated polydimethylsiloxane. The wear-resistant super-hydrophobic composite material has a water contact angle higher than 160° and more than 250 rubbing cycles.

Abstract: Provided is a cloud-edge collaboration forecasting system and method for aluminum oxide production indexes. The forecasting system performs forecasting algorithm selection, parameter configuration and model training on indexes and variables of the aluminum oxide production process at a cloud model training server, performs evaluation and parameter correction on the trained model to obtain an optimal training model, and pre-processes the data in the aluminum oxide production process at an aluminum oxide production index forecasting computer at an edge end. The trained model parameters are imported from the cloud, and further the trained forecasting model is used for forecasting aluminum oxide production indexes for different production processes.

Abstract: Systems and methods for neuronavigation in accordance with embodiments of the invention are illustrated. Targeting systems and methods as described herein can generate personalized stimulation targets for the treatment of mental conditions. In many embodiments, direct stimulation of a personalized the stimulation target indirectly impacts a brain structure that is more difficult to reach via the stimulation modality. In various embodiments, the mental condition is major depressive disorder. In a number of embodiments, the mental condition is suicidal ideation.

Abstract: Methods, apparatus and systems that relate to a portable chromatic light microscope are described. One example chromatic light microscope includes a light source including light producing elements that produce non-monochromatic output light that can be modulated. The chromatic light microscope further includes an illumination subsection to receive light that is output from the light source. The illumination subsection includes one or more lenses to spatially disperse spectral contents of the light that is received by the illumination subsection and to deliver light having chromatic aberration to a target object. The chromatic light microscope also includes an imaging subsection that includes one or more lenses to receive scattered light from the target object and to deliver the same to a sensor, and a linear variable filter to selectively pass a portion of the light having a particular spectral range of wavelengths to the sensor.

Abstract: The present invention relates to a method for manufacturing a membrane-electrode assembly and a membrane-electrode assembly manufactured thereby, and more specifically, to a method for manufacturing a membrane-electrode assembly by using a nano-dispersed ionomer binder under supercritical conditions in a mixed solvent comprising alcohol and water, and a membrane-electrode assembly manufactured thereby and a fuel cell or water electrolysis device comprising same.

Abstract: The present invention provides techniques for learning Mahalanobis distance similarity metrics from data for individually fair machine learning models. In one aspect, a method for learning a fair Mahalanobis distance similarity metric includes: obtaining data with similarity annotations; selecting, based on the data obtained, a model for learning a Mahalanobis covariance matrix ?; and learning the Mahalanobis covariance matrix ? from the data using the model selected, wherein the Mahalanobis covariance matrix ? fully defines the fair Mahalanobis distance similarity metric.

Abstract: The present invention provides an optimization method and system for minimizing network energy consumption based on traffic grooming. The method includes: generating a set of service requests in an elastic optical network, and calculating a reachable node set of shortest paths from source to destination nodes for each service request; establishing a virtual reachable path in the reachable node set of shortest paths; and establishing a target function of an integer linear programming model of the minimizing network energy consumption, and sequentially determining whether a bandwidth capacity constraint of a single spectrum slot, a path uniqueness constraint, a spectrum allocation constraint, and an optical regenerator quantity constraint are satisfied, where if all constraints are satisfied, the service request is successfully established, or if any of the constraints is not satisfied, the service request fails to be established. The present invention helps to improve the energy efficiency of service requests.

Abstract: A method for treating leukemia and in particular, lymphoblastic leukemia is provided. The method includes a step of administering an FMD to a subject identified as having leukemia optionally in combination with a chemotherapeutic agent and/or an autophagy inhibitor.

Abstract: 4-Hydroxyphenyl-2H-indazol-5-ol compounds are estrogen receptor beta ligands that have immunomodulatory properties and increase oligodendrocyte survival, differentiation, and remyelination. The compounds, compositions, and kits are useful in the treatment of multiple sclerosis and endometriosis.

Abstract: The present disclosure describes a computational imaging system that uses a supervised learning algorithm to jointly process the captured image data to identify task-optimal hardware settings and then uses the task-optimal hardware settings to dynamically adjust its hardware to improve specific performance. The primary application of this device is for rapid and accurate automatic analysis of images of biological specimens.

Abstract: A super strong and tough densified wood structure is formed by subjecting a cellulose-based natural wood material to a chemical treatment that partially removes lignin therefrom. The treated wood retains lumina of the natural wood, with cellulose nanofibers of cell walls being aligned. The treated wood is then pressed in a direction crossing the direction in which the lumina extend, such that the lumina collapse and any residual fluid within the wood is removed. As a result, the cell walls become entangled and hydrogen bonds are formed between adjacent cellulose nanofibers, thereby improving the strength and toughness of the wood among other mechanical properties. By further modifying, manipulating, or machining the densified wood, it can be adapted to various applications.

Abstract: Methods, computer program products, and systems can include, for example: receiving a plurality of signal instances of a signal emitted by a transmitter, wherein respective signal instances of the plurality of signal instances are collected at different positions. There is also set forth herein receiving by a movable receiver moving within a first location a plurality of signal instances of a signal emitted by a transmitter, wherein signal instances defining the plurality of signal instances are collected by the moveable receiver at different respective receiver positions within the first location. There is also set forth herein discovering a direction of arrival parameter value that specifies a direction of arrival of the signal emitted by the transmitter, wherein the discovering includes using a set of signal instances from the plurality of signal instances.

Abstract: A fermented milk for improving autonomic nervous function containing at least one lactic acid bacterial species of the genus Lactobacillus and its metabolite. The lactic acid bacterial species of the genus Lactobacillus is selected from the group consisting of Lactobacillus delbrueckii, Lactobacillus delbrueckii subsp. bulgaricus, Lactobacillus gasseri, Lactobacillus rhamnosus and Lactobacillus acidophilus. The lactic acid bacterial strain of the genus Lactobacillus is preferably Lactobacillus delbrueckii subsp. bulgaricus OLL1073R-1(FERM BP-10741).

Abstract: An object detection system and method in which a machine learning engine is configured with a region-based knowledge distillation stage that generates region embeddings from a training image having bounding boxes. A linear layer learns a region-level vision-language mapping for projecting feature embeddings from the training image to a common feature space shared by text embeddings to obtain the region embeddings. An image-level supervision stage generates pseudo-box labels for a classification training image and region embeddings from the training image having bounding boxes and corresponding class labels and the classification training image having an image-level label as input. Pseudo-box labels are determined on the classification training image as an image-level vision-language mapping. A weight transfer function conditions the image-level vision-language mapping on the learned region-level vision-language mapping.

Abstract: Methods, systems, and storage media are described for motion estimation in video frame interpolation. Disclosed embodiments use feature pyramids as image representations for motion estimation and seamlessly integrates them into a deep neural network for frame interpolation. A feature pyramid is extracted for each of two input frames. These feature pyramids are wrapped together with the input frames to the target temporal position according to the inter-frame motion estimated via optical flow. A frame synthesis network is used to predict interpolation results from the pre-warped feature pyramids and input frames. The feature pyramid extractor and the frame synthesis network are jointly trained for the task of frame interpolation. An extensive quantitative and qualitative evaluation demonstrates that the described embodiments utilizing feature pyramids enables robust, high-quality video frame interpolation. Other embodiments may be described and/or claimed.

Abstract: A method of hydrogen (H2) generation includes hydrolyzing a borohydride salt in an aqueous solution including a catalyst to form gaseous hydrogen. The catalyst is a bismuth(III) oxide-doped silicon dioxide with an amount of bismuth(III) oxide from 2 wt. % to 12 wt. % based on a total weight of the bismuth(III) oxide-doped silicon dioxide. The bismuth(III) oxide is dispersed in silicon dioxide in the catalyst. The weight ratio of the catalyst to the borohydride salt present in the aqueous solution is from 0.1:2 to 7:1 and a rate of hydrolysis of the borohydride salt in the presence of the catalyst is 2 to 3 times greater than a rate of hydrolysis of the borohydride salt in the absence of the catalyst.

Abstract: Embodiments of the instant disclosure relate to intraocular drug delivery devices for and methods of, delivering at least one therapeutic agent to an eye of a subject. Methods include implanting an intraocular implant into the eye and adjacent to a fluid-permeable membrane of the eye of the patient. Intraocular implants are supported in a position at a surface of the fluid-permeable membrane. Intraocular implants include a drug delivery component having at least one therapeutic agent embedded within a non-bioerodible, non-biodegradable polymer matrix. Devices and methods disclosed herein can further include delivering the at least one therapeutic agent to the eye of the subject according to a near zero-order elution rate of the at least one therapeutic agent.

Abstract: Disclosed are a flexible pH sensor and detection system, belonging to the technical field of sensors. A material that does not react with electrolyte is mixed with metals to print an anode substrate, and one-step synthesis of a metal ions doped polyaniline composite material is realized through an electrochemical method. The doping amount of metal ions in polyaniline is changed by controlling metal content; due to addition of the metals, the conductivity of the anode substrate is improved, which is conducive to the deposition of polyaniline; such one-step method for preparing the polyaniline composite material is simpler, low in cost, and pollution-free; and compared with pure polyaniline, the sensitivity is further improved. According to the solution, this material is applied to the pH sensor for the first time, achieving a wide pH detection range (2-12) and high bending stability.

Abstract: Provided herein are, inter alia, methods of identifying agents that are capable of inhibiting the binding (e.g., coupling) between a ROR1 protein and a ROR2 protein. By interfering with ROR1-ROR2 coupling (binding) the agents identified using the methods provided herein inhibit non-canonical Wnt5a signaling. Thus, the agents identified by the methods provided herein may, inter alia, be useful for cancer diagnosis and therapy.