Nitish
Nitish Ambastha, Bangalore IN
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20140059372 | METHOD AND APPARATUS TO SAVE POWER UPON RESUME IN MULTI-CORE SYSTEM - A method is provided for resuming one or more cores of a multi-core processor that is part of an electronic device, the method comprising: grouping wakeup sources into a plurality of computing domains; receiving an interrupt associated with a wakeup source; identifying a first computing domain from the plurality that the wakeup source is part of; mapping the first computing domain to a first indication of one or more states of a first core of the processor; configuring the first core to enter the one or more states that are indicated by the first indication; and resuming the first core after the first core is configured. | 02-27-2014 |
Nitish Amraji, Overland Park, KS US
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20140047384 | INTEGRATED DATA CAPTURE WITH ITEM GROUP KEY - Systems, methods, computer-readable media, and graphical user interfaces for facilitating integrated data capture with an item group key are provided. Integrated data capture workflows are initiated from within an electronic medical record (EMR). Selections of groups of items from the EMR are received. Item group keys are assigned to at least one item for the groups of items. Available data associated with the item group keys is gathered from the EMR. Selections of available data to include in case report forms are received. The case report forms are populated with the selections of available data and the item group keys. | 02-13-2014 |
Nitish Kumar, Strasbourg FR
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20150216604 | DEVICE FOR GRASPING AN ELONGATED BODY, SUCH AS A NEEDLE, AND ROBOTIZED DEVICE COMPRISING THE SAME - A device for selectively grasping a part of a separate elongated body extending through the device, includes at least three partially mobile jaw members defining between them a through hole of variable diameter depending on their mutual relative positioning, supporting and driving elements to which the jaw members are mounted and which are adapted to provide a coordinated motion to the members around the elongated body situated in the variable through hole, resulting in a closing or opening of the through hole. The jaw members have an elongated shape with two opposed ends and the supporting and driving elements include a circular or annular support body to which a first end of each jaw member is connected and a mobile annular driving body to which a second opposed end of each jaw member is connected. | 08-06-2015 |
Nitish Kumar, Bihar IN
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20150306044 | MILD ANTIBACTERIAL CLEANSING COMPOSITIONS - Disclosed is a cleansing composition comprising: (i) a non-soap surfactant which is an alkyi glycinate, alkyi carboxy glycinate, sarcosinate, glutamate or a mixture thereof; and, (ii) one or more antimicrobial agent, wherein pH of said composition is at least 8.5 and zein number of said composition is in the range of 10 to 65 and wherein soap content of said composition is not greater than 5 wt %. The formulation is highly alkaline, yet gives mild antibacterial cleansing action. | 10-29-2015 |
20160053206 | LIQUID SOAP HAVING ENHANCED ANTIBACTERIAL ACTIVITY - Method of cleansing human skin employing an aqueous soap composition comprising of fatty acid soap, at least one silver (I) compound having a silver ion solubility (in water at 25° C.) of at least 1×10 | 02-25-2016 |
Nitish Kumar, Bihar, Dist. Sitamadhi IN
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20160053207 | SOAP BAR HAVING ENHANCED ANTIBACTERIAL ACTIVITY - A soap bar comprising: (a) 25 to 85% by weight, based on the total weight of the bar, of fatty acid soap; (b) 0.1 to 100 ppm by weight, based on the total weight of the bar, of at least one silver (I) compound having a selected silver ion solubility, wherein at 25° C., a 1 wt % solution of the bar in water has a pH of from 9 to 11. | 02-25-2016 |
Nitish Srivastva, Toronto CA
Patent application number | Description | Published |
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20140180986 | SYSTEM AND METHOD FOR ADDRESSING OVERFITTING IN A NEURAL NETWORK - A system for training a neural network. A switch is linked to feature detectors in at least some of the layers of the neural network. For each training case, the switch randomly selectively disables each of the feature detectors in accordance with a preconfigured probability. The weights from each training case are then normalized for applying the neural network to test data. | 06-26-2014 |