Abstract: A feeding analysis system reviews collected feeding data and provides analysis of data regarding nutritive sucking, feeding, and related activity.

Abstract: A method for analyzing charged particles may include generating, in or into an ion source region, charged particles from a sample of particles, causing the charged particles to enter a mass spectrometer from the ion source region at each of a plurality of differing physical and/or chemical conditions in a range of physical and/or chemical conditions in which the sample particles undergo structural changes, controlling the mass spectrometer to measure at least the charge magnitudes of the generated charged particles at each of the plurality of differing physical and/or chemical conditions, determining, with a processor, an average charge magnitude of the generated charged particles at each of the plurality of differing physical and/or chemical conditions based on the measured charge magnitudes, and determining, with the processor, an average charge magnitude profile over the range of physical and/or chemical conditions based on the determined average charge magnitudes.

Abstract: The invention provides compositions, compounds, formulations, and methods for treating HPV infections including pre-malignant infections and cancer. Compounds that covalently bind to the HPV E6 protein are disclosed.

Abstract: A resonance podium includes a plurality of walls defining a frame of the resonance podium. A top panel is coupled to the plurality of walls to form a top surface that supports a performer playing a musical instrument on the resonance podium. A resonant panel is also coupled to the plurality of walls and isolated from the top panel. The resonant panel is configured to receive a portion of the musical instrument and to project structurally-transmitted vibrations from the musical instrument for acoustical amplification.

Abstract: A method of using at least one nanoparticle for an anti-counterfeit application including selecting the at least one nanoparticle having a non-spherical configuration; providing the at least one nanoparticle on a substrate; providing a light to the at least one nanoparticle; determining a position of the at least one nanoparticle based on providing the light to the at least one nanoparticle; determining a color of the at least one nanoparticle based on providing the light to the at least one nanoparticle; defining a nanofingerprint based on the position and the color of the at least one nanoparticle; and recognizing the nanofingerprint.

Abstract: Cathode active materials for lithium-ion batteries comprise a hybrid nanocomposite of graphene and copper fluoride. Such cathode active materials are used, together with a polymeric binder material and optionally a conductive additive to form a cathode for a lithium-ion battery. Methods of producing hybrid nanocomposites of graphene and copper fluoride include hydrothermally reacting functionalized graphene, such as graphene oxide, and precursors of copper fluoride, such as aqueous fluorosilicic acid. Such hydrothermal reactions include sequential heating and freeze drying steps to produce a CuF2-graphene nanocomposite.

Abstract: Compositions and methods are provided for treating HPV infections including pre-malignant and cancers. Compounds that specifically bind to the HPV E6 protein and inactivate the protein are disclosed.

Abstract: A method of encoding a speech signal includes predicting a feature vector of each of a plurality of frames included in the speech signal based on a ground-truth feature vector of a previous frame of each of the plurality of frames, calculating a residual signal corresponding to each of the plurality of frames based on a ground-truth feature vector of each of the plurality of frames and a predicted feature vector of each of the plurality of frames, and generating a bitstring corresponding to each of the plurality of frames by quantizing the residual signal.

Abstract: The present disclosure relates to methods of identifying components present in intact lipoprotein particles. Methods provided include single particle mass spectrometry, such as charge detection mass spectrometry (CDMS). Distinct subtypes and subpopulations that exist within lipoprotein density classes are determined based on simultaneously measured m/z and charge of ionized lipoprotein particles.

Abstract: Disclosed are compounds that can modulate DDAH and the amount of asymmetric dimethylarginine (ADMA) in a subject. Also provided are pharmaceutical compositions comprising these compounds, as well as methods of using these compositions to treat and/or prevent diseases associated with elevated or low levels of DDAH and ADMA.

Abstract: A CDMS may include an ion source to generate ions from a sample, a mass spectrometer to separate the generated ions as a function of ion mass-to-charge ratio, an electrostatic linear ion trap (ELIT) having a charge detection cylinder disposed between first and second ion mirrors, wherein ions exiting the mass spectrometer are supplied to the ELIT, a charge generator for generating free charges, a field free region between the charge generator and the charge detection cylinder, and a processor configured to control the charge generator, with no ions in the charge detection cylinder, to generate a target number of free charges and cause the target number of free charges to travel across the field-free region and into contact with the charge detection cylinder to deposit the target number of free charges thereon and thereby calibrate or reset the charge detection cylinder to a corresponding target charge level.

Abstract: Technologies are disclosed herein for providing an aerial transport network infrastructure for unmanned aerial vehicles, such as drones. The transport network infrastructure comprises models built from publicly available information, such as Federal Communications Commission and Department of Transportation (FCC-DOT) map data. An Electric Regulated Drone Operating System (ERDOS) executing within a drone includes logic for routing, queuing, monitoring, and rescuing using Level 5 automation techniques within the aerial transport network infrastructure.

Abstract: A gut bioreactor includes a fold region and a flow region. The fold regions include members that cooperate to form crypts. The members may have protuberances extending from a surface of the members into the crypts. The gut bioreactors may include multimaterial fibers that are configured to detect aspects of the crypts or may mechanically move portions of the gut bioreactor.

Abstract: Disclosed is a speech processing apparatus and method using a densely connected hybrid neural network. The speech processing method includes inputting a time domain sample of N*1 dimension for an input speech into a densely connected hybrid network; passing the time domain sample through a plurality of dense blocks in a densely connected hybrid network; reshaping the time domain samples into M subframes by passing the time domain samples through the plurality of dense blocks; inputting the M subframes into gated recurrent unit (GRU) components of N/M-dimension; outputting clean speech from which noise is removed from the input speech by passing the M subframes through GRU components.

Abstract: A method and apparatus for correcting an error in depth information estimated from a two-dimensional (2D) image are disclosed. The method includes diagnosing an error in depth information by inputting a color image and depth information estimated using the color image to a depth error detection network, and determining enhanced depth information by maintaining or correcting the depth information based on the diagnosed error.

Abstract: Disclosed are a method of encoding and decoding an audio signal and an encoder and a decoder performing the method. The method of encoding an audio signal includes identifying an input signal, and generating a bitstring of each encoding layer by applying, to the input signal, an encoding model including a plurality of successive encoding layers that encodes the input signal, in which a current encoding layer among the encoding layers is trained to generate a bitstring of the current encoding layer by encoding an encoded signal which is a signal encoded in a previous encoding layer and quantizing an encoded signal which is a signal encoded in the current encoding layer.

Abstract: A method for analyzing a sample collected from a surface, the method comprising placing at least a portion of a substrate having a pressure sensitive adhesive layer containing the sample in a holder, adding a spray solvent to the sample-containing pressure sensitive adhesive layer, and analyzing the sample contained in the pressure sensitive adhesive layer and the spray solvent using paper spray mass spectrometry.

Abstract: Disclosed are methods to prevent an occurrence of a high-grade serous ovarian cancer and/or breast cancer in a subject by administering a therapeutically effective amount of an antiprogestin to the subject.

Abstract: A method and apparatus for processing an audio signal are disclosed. According to an example embodiment, a method of processing an audio signal may include acquiring a final audio signal for an initial audio signal using a plurality of neural network models generating output audio signals by encoding and decoding input audio signals, calculating a difference between the initial audio signal and the final audio signal in a time domain, converting the initial audio signal and the final audio signal into Mel-spectra, calculating a difference between the Mel-spectra of the initial audio signal and the final audio signal in a frequency domain, training the plurality of neural network models based on results calculated in the time domain and the frequency domain, and generating a new final audio signal distinguished from the final audio signal from the initial audio signal using the trained neural network models.

Abstract: A method and apparatus for estimating depth information of an image are disclosed. The depth information estimation method of the image includes providing a confidence map for a ground truth depth map; and learning a depth information estimation model for estimating depth information of an image based on the ground truth depth map and the confidence map.