摘要:
The present invention provides a method for the treatment of individuals diagnosed with a childhood behavioral disorder such as autistic spectrum disorders or combined type Attention-Deficit/Hyperactivity Disorder (ADHD) by administering an effective amount of memantine.
摘要:
The present invention provides a method for the treatment of individuals diagnosed with a childhood behavioral disorder such as autistic spectrum disorders or combined type Attention-Deficit/Hyperactivity Disorder (ADHD) by administering an effective amount of memantine.
摘要:
The invention relates to the use of NMDA receptor antagonists such as 1-aminocyclohexane derivatives to modify deposition of potentially toxic and fibrillogenic Aβ peptides in amyloidopathies. Specifically, the invention relates to the ability of memantine to intervene in the processing of APP and decrease the levels of fibrillogenic Aβ peptides.
摘要:
Systems and methods are provided for controlling predictive medical monitoring. A non-linear-predictive-guide model estimates a patient parameter that is used as a guide in a deep neural network for improving accuracy of estimation by the deep neural network. The guide model generates a guiding first estimated patient parameter based on the guide model and patient input data. The deep neural network generates a second estimated patient parameter based on the deep neural network, the patient input data, and the guiding first estimated patient parameter. The deep neural network includes an input layer that receives the guiding first estimated patient parameter, and hidden layers including respective artificial neurons configured to perform a linear or nonlinear transformation on output of at least one artificial neuron from an adjacent layer in the deep neural network. An output layer receives at least one output from a hidden layer.
摘要:
Systems and methods are described for automatically identifying a food item. A color image and a thermal image are received by an electronic processor with a first food item in the field of view of both the color image and the thermal image. The electronic processor identifies a region of pixels in the color image that corresponds to the first food item based at least in part on a temperature intensity of the pixels in the identified region of pixels relative to other pixels in the thermal image. At least one feature is extracted from the identified region of pixels in the color image corresponding to the first food item and the electronic processor automatically identifies a type of food corresponding to the first food item based at least in part on the at least extracted feature.
摘要:
An energy management system includes a number of power sources, a first set of energy storage devices (ESDs), a second set of ESDs, and a control system. The first set of ESDs is coupled between the power sources and a load and has a first set of operating characteristics. The second set of ESDs is also coupled between the power sources and the load and has a second set of operating characteristics that are different from the first set of operating characteristics. The control system is configured to selectively deliver power from one of the plurality of power sources to the first plurality of ESDs, the second plurality of ESDs, or both and selectively deliver power from the first plurality of ESDs, the second plurality of ESDs, or both to the load based on short and long term variations in a set of energy delivery system characteristics.
摘要:
Using natural language-like user inputs to provide statistics on a subset of data is described. In one embodiment, a user input that includes at least one word or phrase representing a rule is received. The rule includes an identification of a subset of data and a statistical expression to be performed on the subset of data. The subset of data includes at least part of the data elements of a data set. Each data element includes information on an individual or group. Instructions are provided for translating the rule into an executable format. The executable format includes a translated identification of the subset and a translated statistical expression. The subset of the data is accessed using the translated identification of the subset. The translated statistical expression is executed to obtain statistics on data elements of the subset of data. The statistics on the data elements are provided.