Abstract:
The present invention relates to a pharmaceutical composition for treating thermal injuries and wounds combined with bone injuries. More specifically, the present invention relates to a pharmaceutical composition for treating thermal injuries and wounds combined with bone injuries characterized in consisting of 4%-12% beeswax and 88%-96% sesame oil extract containing such raw materials as Radix Scutellariae, Coptis Chinensis, Cortex Phellodendri, Pericarpium Papaveris and Lumbricus by weight based on the total weight of the said composition, wherein the content of Radix Scutellariae, Coptis Chinensis, Cortex Phellodendri, Pericarpium Papaveris or Lumbricus based on their dry weight is respectively 1%-6% of the total weight of the sesame oil. The pharmaceutical composition of the present invention can treat thermal injuries involving human skin, subcutaneous tissues and bones, as well as involving bone wounds, especially open fractures, deep thermal injuries combined with bone injuries, and deep thermal injuries combined with bone necrosis caused by trauma, such as deep burns combined with bone injuries or bone necrosis.
Abstract:
Methods and systems for controlling drilling operations include using a statistical model to identify at least two controllable drilling parameters having significant correlation to one or more drilling performance measurements. The methods and systems further generate operational recommendations for at least two controllable drilling parameters based at least in part on the statistical model. The operational recommendations are selected to optimize one or more drilling performance measurements.
Abstract:
Systems, apparatus, and methods of monitoring and reducing snore are discussed herein. Some embodiments may provide for a system including a snore detection module, a movement detection module, a control module, and an actuation module. The snore detection module may be configured to detect snore, such as by detecting vibrations caused by snoring. When snoring is detected, the control module may be configured to instruct the actuation module to apply stimulation to the user that is calibrated to cause the user to shift sleeping position without disturbing sleep. The movement detection module may be configured to monitor user movement. If the user fails to move in response to the actuation, the actuation module may increase the intensity of the actuation. If the user responds to the actuation, the process may be repeated after a predetermined delay to provide continuous snore monitoring and correction throughout user sleep.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training acoustic models. Speech data and data identifying a transcription for the speech data are received. A phonetic representation for the transcription is accessed. Training sequences are identified for a particular phone in the phonetic representation. Each of the training sequences includes a different set of contextual phones surrounding the particular phone. A partitioning key is identified based on a sequence of phones that occurs in each of the training sequences. A processing module to which the identified partitioning key is assigned is selected. Data identifying the training sequences and a portion of the speech data are transmitted to the selected processing module.
Abstract:
Systems and method for identifying an unstable subset of burners from among a plurality of burners in a furnace are also disclosed. At least one measurement is obtained from each of the plurality of burners. An instability associated with the furnace is detected. An unstable signal matrix associated with the instability is computed based on the at least one measurement from each of the plurality of burners. An unstable subset of burners is identified based at least in part on the unstable signal matrix.
Abstract:
The embodiments of the present invention disclose a delay circuit. The delay circuit comprises an inverter, a load capacitor, and a first voltage clamping module, wherein the first voltage clamping module generates a voltage drop configured to prolong the propagation delay time of the delay circuit as the power supply voltage decreases. The power supply dependent delay circuit may have a much larger propagation delay time at low power supply voltage than it at high power supply voltage at the rising-edge or falling-edge of an input signal.
Abstract:
The present disclosure discloses a metal layout of an integrated power transistor. The metal layout comprises a 1st metal layer, a 2nd metal layer, and a 3rd metal layer. The metal layout couples the 1st metal layer to the 2nd metal layer through vias, and couples the 2nd metal layer to the 3rd metal layer through super vias. By such interconnection, the metallization resistance is highly reduced by using thick 2nd and 3rd metal layers.
Abstract:
A blade server includes a casing, a plurality of blade modules, and a function module. The casing has a first end and a second end being opposite to each other. The blade modules are configured on the first end of the casing, and may be moved in or moved out from the first end of the casing. Each blade module includes a first tray, a main board module, and a plurality of hard disk modules. The main board module is configured on the first tray. The hard disk modules are detachably disposed on the first tray, and are electrically connected to the main board module. The function module is configured on the second end of the casing, and may be moved in or moved out from the second end of the casing.
Abstract:
Method for generating a new family of seismic attributes sensitive to seismic texture that can be used for classification and grouping of seismic data into seismically similar regions. A 2D or 3D data analysis window size is selected (23), and for each of multiple positions (25) of the analysis window in the seismic data volume, the data within the window are transformed to a wavenumber domain spectrum (26). At least one attribute of the seismic data is then defined based on one or more spectral properties, and the attribute is computed (28) for each window, generating a multidimensional spectral attribute data volume (29). The attribute data volume can be used for inferring hydrocarbon potential, preferably after classifying the data volume cells based on the computed attribute, partitioning the cells into regions based on the classification, and prioritizing of the regions within a classification.