Abstract: Embodiments of the present systems and apparatus may provide vehicle armor materials and systems that generate electricity from impact and blast energy. For example, in an embodiment, a protective apparatus may comprise a layer of armor and a layer comprising a plurality of electrical generating devices abutting the layer of armor and configured so that energy applied to the layer of armor is transferred to the plurality of electrical generating devices causing the plurality of electrical generating device to generate electrical energy.

Abstract: Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

Abstract: Embodiments of secondary batteries having electrode assemblies are provided. A secondary battery can comprise an electrode assembly having a stacked series of layers, the stacked series of layers having an offset between electrode and counter-electrode layers in a unit cell member of the stacked series. A set of constraints can be provided with a primary constraint system with first and second primary growth constraints separated from each other in a longitudinal direction, and connected by at least one primary connecting member, and a secondary constraint system comprises first and second secondary growth constraints separated in a second direction and connected by members of the stacked series of layers. The primary constraint system may at least partially restrain growth of the electrode assembly in the longitudinal direction, and the secondary constraint system may at least partially restrain growth in the second direction that is orthogonal to the longitudinal direction.

Abstract: Secondary batteries and methods of manufacture thereof are provided. A secondary battery can comprise an offset between electrode and counter-electrode layers in a unit cell. Secondary batteries can be prepared by removing a population of negative electrode subunits from a negative electrode sheet, the negative electrode sheet comprising a negative electrode sheet edge margin and at least one negative electrode sheet weakened region that is internal to the negative electrode sheet edge margin, removing a population of separator layer subunits from a separator sheet, and removing a population of positive electrode subunits from a positive electrode sheet, the positive electrode sheet comprising a positive electrode edge margin and at least one positive electrode sheet weakened region that is internal to the positive electrode sheet edge margin, and stacking members of the negative electrode subunit population, the separator layer subunit population and the positive electrode subunit population.

Abstract: A secondary battery for cycling between a charged and a discharged state, wherein a 2D map of the median vertical position of the first opposing vertical end surface of the electrode active material in the X-Z plane, along the length LE of the electrode active material layer, traces a first vertical end surface plot, EVP1, a 2D map of the median vertical position of the first opposing vertical end surface of the counter-electrode active material layer in the X-Z plane, along the length LC of the counter-electrode active material layer, traces a first vertical end surface plot, CEVP1, wherein for at least 60% of the length Lc of the first counter-electrode active material layer (i) the absolute value of a separation distance, SZ1, between the plots EVP1 and CEVP1 measured in the vertical direction is 1000 ?m?|SZ1|?5 ?m.

Abstract: Embodiments of secondary batteries having electrode assemblies are provided. A secondary battery can comprise an electrode assembly having a stacked series of layers, the stacked series of layers having an offset between electrode and counter-electrode layers in a unit cell member of the stacked series. A set of constraints can be provided with a primary constraint system with first and second primary growth constraints separated from each other in a longitudinal direction, and connected by at least one primary connecting member, and a secondary constraint system comprises first and second secondary growth constraints separated in a second direction and connected by members of the stacked series of layers. The primary constraint system may at least partially restrain growth of the electrode assembly in the longitudinal direction, and the secondary constraint system may at least partially restrain growth in the second direction that is orthogonal to the longitudinal direction.

Abstract: Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

Abstract: Embodiments of the present systems and apparatus may provide vehicle armor materials and systems that generate electricity from impact and blast energy. For example, in an embodiment, a protective apparatus may comprise a layer of armor and a layer comprising a plurality of electrical generating devices abutting the layer of armor and configured so that energy applied to the layer of armor is transferred to the plurality of electrical generating devices causing the plurality of electrical generating device to generate electrical energy.

Abstract: Embodiments of the present invention may provide automated techniques for signal analysis that may continuously provide up-to-date results that link EEG and behaviors that are important for daily activities. Such techniques may provide automation, objectivity, real-time monitoring and portability. In an embodiment of the present invention, a computer-implemented method for monitoring neural activity may comprise receiving data representing at least one signal representing neural activity of a test subject, pre-processing the received data by performing at least one of band-pass filtering, artifact removal, identifying common spatial patterns, and temporally segmentation, processing the pre-processed data by performing at least one of time domain processing, frequency domain processing, and time-frequency domain processing, generating a machine learning model using the processed data as a training dataset, and outputting a characterization of the neural activity based on the machine learning model.

Abstract: Embodiments may provide a system for monitoring brain activity may comprise a plurality of sensors, each adapted to monitor a physical or physiological parameter and output a signal representing the monitored physical or physiological parameter, wherein the plurality of sensors includes at least one sensor comprising an optogenetic neurostimulator configured to transmit light to a location in the brain and an electrical sensor configured to record electrical activity at the location in the brain, a digital signal processor adapted to: receive the plurality of signals from the plurality of sensors and to process the signals to form digital data representing the monitored physical or physiological parameters, and process the digital data representing the monitored physical or physiological parameters using at least one of Fundamental Code Unit processing, Brain Code processing, and Intention awareness processing to determine presence of a neurological disorder or condition.

Abstract: The present systems and methods relate to devices, methods, and systems for detecting the probability of cancer conditions using Sialic Acid concentrations. The present invention relates to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. Embodiments may provide salivary sialic acid testing for cancer detection, for example, breast and oral cancers. Findings indicate the effectiveness of salivary sialic acid testing for detecting solid cancers, potentially serving as an initial screening tool in laboratory settings before invasive diagnostic procedures are recommended.

Abstract: A secondary battery for cycling between a charged and a discharged state, wherein a 2D map of the median vertical position of the first opposing vertical end surface of the electrode active material in the X-Z plane, along the length LE of the electrode active material layer, traces a first vertical end surface plot, EVP1, a 2D map of the median vertical position of the first opposing vertical end surface of the counter-electrode active material layer in the X-Z plane, along the length LC of the counter-electrode active material layer, traces a first vertical end surface plot, CEVP1, wherein for at least 60% of the length LC of the first counter-electrode active material layer (i) the absolute value of a separation distance, SZ1, between the plots EVP1 and CEVP1 measured in the vertical direction is 1000 ?m?|SZ1|?5 ?m.

Abstract: Secondary batteries and methods of manufacture thereof are provided. A secondary battery can comprise an offset between electrode and counter-electrode layers in a unit cell. Secondary batteries can be prepared by removing a population of negative electrode subunits from a negative electrode sheet, the negative electrode sheet comprising a negative electrode sheet edge margin and at least one negative electrode sheet weakened region that is internal to the negative electrode sheet edge margin, removing a population of separator layer subunits from a separator sheet, and removing a population of positive electrode subunits from a positive electrode sheet, the positive electrode sheet comprising a positive electrode edge margin and at least one positive electrode sheet weakened region that is internal to the positive electrode sheet edge margin, and stacking members of the negative electrode subunit population, the separator layer subunit population and the positive electrode subunit population.

Abstract: Embodiments of the present invention may provide automated techniques for signal analysis that may continuously provide up-to-date results that link EEG and behaviors that are important for daily activities. Such techniques may provide automation, objectivity, real-time monitoring and portability. In an embodiment of the present invention, a computer-implemented method for monitoring neural activity may comprise receiving data representing at least one signal representing neural activity of a test subject, pre-processing the received data by performing at least one of band-pass filtering, artifact removal, identifying common spatial patterns, and temporally segmentation, processing the pre-processed data by performing at least one of time domain processing, frequency domain processing, and time-frequency domain processing, generating a machine learning model using the processed data as a training dataset, and outputting a characterization of the neural activity based on the machine learning model.

Abstract: Embodiments may provide multimodal diagnostic systems and methods for detecting neurological disorders, such as Alzheimer's disease (AD), Parkinson's disease (PD), depression, PTSD, schizophrenia, dementia and many others. For example, a system for monitoring brain activity may comprise a plurality of sensors, each adapted to monitor a physical or physiological parameter and output a signal representing the monitored physical or physiological parameter, wherein the plurality of sensors includes at least one sensor configured to monitor a brain activity parameter, a data collection device adapted to receive the plurality of signals from the plurality of sensors and to process the signals to form digital data representing the monitored physical or physiological parameters, and a data processing device adapted to process digital data representing the monitored physical or physiological parameters to determine presence of a neurological disorder or condition.

Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Abstract: A system for screening and management of hypertension, which includes a high precision fingertip photoplethysmography (PPG) acquisition device and the application software of hypertension screening and management in a portable device such as a smartphone. The former includes 905 nm wavelength infrared light emitting sensor, photoelectric receiving device, and Bluetooth transmission module. The latter includes PPG signal configuration and acquisition module, automatic hypertension classification and screening module and hypertension management module. The system can process the real-time PPG signal and can classify and evaluate the blood pressure level and carry on the long-term management and the hypertension health instruction.

Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Abstract: For example, in an embodiment, a system may comprise a processor, memory, and program instructions and data, a plurality of stimulation devices, program instructions and data stored to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted, wherein the processor, memory, plurality of stimulation devices, plurality of sensing devices, and communication device are contained in an implantable device adapted to be implanted in a body of a person, and an external computer system comprising a processor, memory, and program instructions and data, to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions, wherein the external computer system is adapted to be attached to a body of the person.

Abstract: In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, determining neuron network structures based on the photonic signals received from the read modalities, the action potentials, and the frequency oscillations, wherein the neuron network structures are determined using a Maximum Entropy model, and mapping brain region activation by S+/R? events to observable linguistic events using the Maximum Entropy model.