Abstract: L-serine, L-serine precursors, L-serine derivatives and L-serine conjugates for treatment, amelioration and/or prevention of protein aggregation/tangles/plaques and diseases associated with protein aggregation/tangles/plaques. In particular, treatments and uses for L-serine, L-serine precursors, L-serine derivatives and L-serine conjugates include Alzheimer's disease (AD), Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington disease (HD).

Abstract: L-serine, L-serine precursors, L-serine derivatives and L-serine conjugates for treatment, amelioration and/or prevention of protein aggregation/tangles/plaques and diseases associated with protein aggregation/tangles/plaques. In particular, treatments and uses for L-serine, L-serine precursors, L-serine derivatives and L-serine conjugates include Alzheimer's disease (AD), Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington disease (HD).

Abstract: Embodiments of instructions are detailed herein including one or more of 1) a branch fence instruction, prefix, or variants (BFENCE); 2) a predictor fence instruction, prefix, or variants (PFENCE); 3) an exception fence instruction, prefix, or variants (EFENCE); 4) an address computation fence instruction, prefix, or variants (AFENCE); 5) a register fence instruction, prefix, or variants (RFENCE); and, additionally, modes that apply the above semantics to some or all ordinary instructions.

Abstract: A laser system comprising a gain medium configured to amplify incident electromagnetic radiation and a nonlinear optical element configured to convert electromagnetic radiation amplified by the gain medium to a shorter wavelength. The laser system is configured to introduce mode competition and nonlinear effects such that the nonlinear optical element produces output electromagnetic radiation having a frequency spectrum comprising a first peak formed of a first group of frequencies and a second peak formed of a second group of frequencies. A trough separates the first and second peaks. The first and second peaks are the only dominant peaks in the frequency spectrum. The output electromagnetic radiation has a coherence curve comprising a contrast ratio of less than about 0.1 at an optical path difference that is within the inclusive range of about 1.5 mm to about 2.5 mm.

Abstract: Embodiments of instructions are detailed herein including one or more of 1) a branch fence instruction, prefix, or variants (BFENCE); 2) a predictor fence instruction, prefix, or variants (PFENCE); 3) an exception fence instruction, prefix, or variants (EFENCE); 4) an address computation fence instruction, prefix, or variants (AFENCE); 5) a register fence instruction, prefix, or variants (RFENCE); and, additionally, modes that apply the above semantics to some or all ordinary instructions.

Abstract: A computer method of managing a workflow of scheduled nodes. The method comprises instantiating a computer instantiated mathematical model of workflow paths, wherein the mathematical model defines nodes to be scheduled, defines time-based anchors between the nodes, and sequence-based anchors between the nodes; for each workflow object, determining a workflow schedule for the workflow object by an application executing on a computer system, wherein the workflow schedule comprises a plurality of nodes and wherein the application determines the workflow schedule based on the time-based anchors and sequence-based anchors between nodes defined by the mathematical model; storing by the application context information about completion of the activities performed when performing the node associated with the workflow path of the workflow object; and changing the workflow schedule of the workflow object based on the context information about completion of the activities performed and based on the mathematical model.

Abstract: A computer method of managing a workflow of scheduled nodes. The method comprises instantiating a computer instantiated mathematical model of workflow paths, wherein the mathematical model defines nodes to be scheduled, defines time-based anchors between the nodes, and sequence-based anchors between the nodes; for each workflow object, determining a workflow schedule for the workflow object by an application executing on a computer system, wherein the workflow schedule comprises a plurality of nodes and wherein the application determines the workflow schedule based on the time-based anchors and sequence-based anchors between nodes defined by the mathematical model; storing by the application context information about completion of the activities performed when performing the node associated with the workflow path of the workflow object; and changing the workflow schedule of the workflow object based on the context information about completion of the activities performed and based on the mathematical model.

Abstract: Presented herein are methods of identifying a subject who has, or is at risk of developing Alzheimer's disease comprising determining a presence or amount of 2-aminoethyl dihydrogen phosphate or taurine in the blood, or a blood product, obtained from the subject. Also presented herein are method of preventing, treating or delaying the onset of Alzheimer's disease.

Abstract: An interface cell for circuit adjustment can be structured to adjust parameters of a circuit of an integrated circuit. The interface cell can be implemented in a small area on a die for the integrated circuit. The interface cell can be arranged for circuit adjustment, such as post package trim of the circuit. The interface cell can include a control device and a low voltage circuit. The control device can be implemented as a single device, or a device having a limited number of additional components, that interfaces a high voltage domain to a low voltage domain of the low voltage circuit. The control device can be enabled to provide the signals to the low voltage circuit of the interface cell to adjust parameters of the circuit and can be disabled to isolate the circuit from the interface cell after providing the signals to the low voltage circuit.

Abstract: Presented herein are compositions comprising L-serine, or a precursor, derivative or conjugate thereof, and a non-toxic metal, such as zinc. Compositions disclosed herein can be used for the prevention and treatment of neurodegenerative diseases, or related symptoms thereof.

Abstract: L-serine, L-serine precursors, L-serine derivatives and L-serine conjugates for treatment, amelioration and/or prevention of protein aggregation/tangles/plaques and diseases associated with protein aggregation/tangles/plaques. In particular, treatments and uses for L-serine, L-serine precursors, L-serine derivatives and L-serine conjugates include Alzheimer's disease (AD), Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington disease (HD).

Abstract: Presented herein are methods of identifying a subject who has, or is at risk of developing a motor neuron disease comprising determining a presence or amount of one or more neural-derived micro-RNAs (miRNAs). Also presented herein are method of preventing, treating or delaying the onset of a motor neuron disease.

Abstract: An interface cell for circuit adjustment can be structured to adjust parameters of a circuit of an integrated circuit. The interface cell can be implemented in a small area on a die for the integrated circuit. The interface cell can be arranged for circuit adjustment, such as post package trim of the circuit. The interface cell can include a control device and a low voltage circuit. The control device can be implemented as a single device, or a device having a limited number of additional components, that interfaces a high voltage domain to a low voltage domain of the low voltage circuit. The control device can be enabled to provide the signals to the low voltage circuit of the interface cell to adjust parameters of the circuit and can be disabled to isolate the circuit from the interface cell after providing the signals to the low voltage circuit.

Abstract: A computer method of managing a workflow of scheduled nodes. The method comprises instantiating a computer instantiated mathematical model of workflow paths, wherein the mathematical model defines nodes to be scheduled, defines time-based anchors between the nodes, and sequence-based anchors between the nodes; for each workflow object, determining a workflow schedule for the workflow object by an application executing on a computer system, wherein the workflow schedule comprises a plurality of nodes and wherein the application determines the workflow schedule based on the time-based anchors and sequence-based anchors between nodes defined by the mathematical model; storing by the application context information about completion of the activities performed when performing the node associated with the workflow path of the workflow object; and changing the workflow schedule of the workflow object based on the context information about completion of the activities performed and based on the mathematical model.

Abstract: Presented herein are compositions comprising L-serine, or a precursor, derivative or conjugate thereof, and a non-toxic metal, such as zinc. Compositions disclosed herein can be used for the prevention and treatment of neurodegenerative diseases, or related symptoms thereof.

Abstract: A system to effectuate passive check-in with respect to a user's mobile device is described. A server system may be configured to receive communications from a GPS-enabled mobile device (e.g., a mobile phone), extract a stream of locations from the received communications, and use the location information to determine whether a boundary-crossing event has occurred with respect to the mobile device. In response to detecting a boundary-crossing event, the server may communicate a message, such as a recommendation, to the mobile device.

Abstract: Methods and apparatuses to manage working states of a data processing system. At least one embodiment of the present invention includes a data processing system with one or more sensors (e.g., physical sensors such as tachometer and thermistors, and logical sensors such as CPU load) for fine grain control of one or more components (e.g., processor, fan, hard drive, optical drive) of the system for working conditions that balance various goals (e.g., user preferences, performance, power consumption, thermal constraints, acoustic noise). In one example, the clock frequency and core voltage for a processor are actively managed to balance performance and power consumption (heat generation) without a significant latency. In one example, the speed of a cooling fan is actively managed to balance cooling effort and noise (and/or power consumption).

Abstract: A system to effectuate passive check-in with respect to a user's mobile device is described. A server system may be configured to receive communications from a GPS-enabled mobile device (e.g., a mobile phone), extract a stream of locations from the received communications, and use the location information to determine whether a boundary-crossing event has occurred with respect to the mobile device. In response to detecting a boundary-crossing event, the server may communicate a message, such as a recommendation, to the mobile device.

Abstract: A computer method of managing a workflow of scheduled nodes. The method comprises instantiating a computer instantiated mathematical model of workflow paths, wherein the mathematical model defines nodes to be scheduled, defines time-based anchors between the nodes, and sequence-based anchors between the nodes; for each workflow object, determining a workflow schedule for the workflow object by an application executing on a computer system, wherein the workflow schedule comprises a plurality of nodes and wherein the application determines the workflow schedule based on the time-based anchors and sequence-based anchors between nodes defined by the mathematical model; storing by the application context information about completion of the activities performed when performing the node associated with the workflow path of the workflow object; and changing the workflow schedule of the workflow object based on the context information about completion of the activities performed and based on the mathematical model.