Abstract: A S-shaped visible hard intubating stylet comprises a LCD display, a handler and a hard stylet which are connected successively; the hard stylet has an outer end provided with a camera and a light emitter which are connecting to the LCD display, respectively; the hard stylet is formed to comprise, from one end to the other end, successively, a first linear section, an arc-shaped section, a circular arc-shaped section and a second linear section; a tangential direction of a tail end of the circular arc-shaped section that is adjacent to the arc-shaped section, and an axis direction of the handler, have an included angle which is ranging from no 20°; the circular arc-shaped section has a circular arc radius which is ranging from 45 mm to 75 mm; the circular arc-shaped section has a circular arc corresponding to a central angle which is ranging from 60° to 80°; the second linear section and the axis direction of the handler have an included angle which is ranging from 50° to 70°.

Abstract: Cloud-based integrated yield/equipment data processing system for collecting and analyzing integrated tool-related data (cause data) and material-related data (effect data) pertaining to at least one material processing tool and at least one material is disclosed. In an embodiment, the tool-related data is correlated with the material-related data and the correlated tool-related data and material-related data is employed by logic to perform, using a cloud computing approach, at least one of root-cause analysis, prediction model building and tool control/optimization.

Abstract: Embodiments of the disclosure provide a method an apparatus for coordinating interference on a user equipment, the user equipment being served by a serving base station and interfered by an interfering base station. The method comprising steps of requesting for a limited access to the interfering base station; and responsive to an acknowledge message from the interfering base station, transmitting interference coordination information to the interfering base station.

Abstract: Systems and methods for automatically and/or systematically include more data sources and/or more detailed data in the analysis, prediction, and model building. Process data may be employed to pinpoint the process parameter excursions and domain knowledge and/or expert systems may be automatically and/or systematically incorporated into the root cause analysis, the prediction and/or the model building to improve results and/or to reduce the reliance on inconsistent and expensive human experts.

Abstract: Computer-implemented methods and systems for tool health prediction for a tool having sub-systems and components are disclosed. The method includes providing parameter values from sensors to an expert system. The method also includes providing knowledge base data from a knowledge base to the expert system. The knowledge base includes at least one of tool history, part information, domain knowledge, and model history. The method also includes generating, using the expert system, at least one tool health prediction pertaining to tool maintenance. The prediction generation employs a set of prediction models that includes at least one prediction model. The prediction generation further employs at least the parameter values and the knowledge base data.

Abstract: A system and method for yield management are disclosed wherein a data set containing one or more prediction variable values and one or more response variable values is input into the system. The system can process the input data set to remove prediction variables with missing values and data sets with missing values based on a tiered splitting method to maximize usage of all valid data points. The processed data can then be used to generate a model that may be a decision tree. The system can accept user input to modify the generated model. Once the model is complete, one or more statistical analysis tools can be used to analyze the data and generate a list of the key yield factors for the particular data set.

Abstract: Integrated yield/equipment data processing system for collecting and analyzing integrated tool-related data (cause data) and material-related data (effect data) pertaining to at least one material processing tool and at least one material is disclosed. In an embodiment, the tool-related data is correlated with the material-related data, and the correlated tool-related data and material-related data is employed by logic to perform at least one of root-cause analysis, prediction model building and tool control/optimization. By integrating cause-and-effect data in a single platform, the data necessary for performing, for example, automated problem detection (e.g., automated root cause analysis) and prediction, is readily available and correlated, which for example shortens the cycle time to detection and facilitates efficient and timely automated tool management and control.

Abstract: The invention provides a process for co-producing ethanol and Radix Puerariae flavones and utilizing Radix Puerariae fibers from Radix Puerariae by way of clean solid state fermentation, and the device used therein. The process comprises the following steps: providing Radix Puerariae as raw material; pretreating the Radix Puerariae raw material by steam explosion; producing and separating ethanol by continuous coupled solid state fermentation; filtering off fermentation residues; and extracting and purifying Radix Puerariae flavones from the filtrate. The process achieves an effective and comprehensive utilization of Radix Puerariae.

Abstract: A system and method for defect analysis are disclosed wherein a defect data set is input into the system. A radius value is selected by a user, which is the maximum number of bits that bit failures can be separated from one another to be considered a bit cluster. When a defect data set is received, the system and method start with a fail bit and search for neighboring fail bits. The specified radius is used to qualify the found fail bits to be part of the bit cluster or not. If a minimum count of fail bits is not met, the system and method will stop searching and move to the next fail bit. If a minimum count of fail bits is met, the search continues for the next fail bit until the maximum fail bit count specified by the user is reached. Aggregation is provided such that once bit clusters have been classified, the number of clusters that have the exact match or partial match to each other is counted. The user may set the partial match as a threshold count to establish a match.

Abstract: The present disclosure provides methods and compositions to enhance reprogramming in human cells. In some cases, the method includes contacting human cells with an inhibitor of the TGF? pathway, for example a TGF? receptor (TGF?R) inhibitor in combination with one or more induction factors.

Abstract: The present invention provides a DC high voltage converter having an oscillator driver, main switch array and topological enhanced capacitors. The switch array utilizes MEM cantilevers and topological capacitors for charge storages for the generation of a high voltage output from a low voltage input utilizing the chattering motion of the cantilever.

Abstract: In accordance with an embodiment of the present invention, a thermally induced single-use valve is provided including a silicon wafer having a top surface and a bottom surface and at least one cavity formed in the bottom surface of the wafer, a thermally deformable membrane suspended across the cavity on the top surface of the wafer and at least one resistive element patterned on top of the thermally deformable membrane.

Abstract: A system and method for defect analysis of multi-level memory cell devices and embedded multi-level memory in system-on-chip integrated circuits are disclosed wherein a defect data set is input into the system. When a defect data set is received, an automated test engineering system running a memory test program analyzes the defect data set to generate one or more fail bit locations and one or more fail states of the memory. The multi-level memory defect analysis system and method then classify failed bits or patterns comprising a vertical fail pattern, whereby after being classified, each memory cell failure vertical fail pattern has three data attributes comprising fail type, a number of fail bits/states, and a sequence of the fail states. The vertical fail pattern may comprise a single fail state or multi-state fail. The multi-state fail may be a continuous-states fail, discontinuous-states fail, or all-state fail.

Abstract: A system and method for defect analysis are disclosed wherein a defect data set is input into the system. A radius value is selected by a user, which is the maximum number of bits that bit failures can be separated from one another to be considered a bit cluster. When a defect data set is received, the system and method start with a fail bit and search for neighboring fail bits. The specified radius is used to qualify the found fail bits to be part of the bit cluster or not. If a minimum count of fail bits is not met, the system and method will stop searching and move to the next fail bit. If a minimum count of fail bits is met, the search continues for the next fail bit until the maximum fail bit count specified by the user is reached. Aggregation is provided such that once bit clusters have been classified, the number of clusters that have the exact match or partial match to each other is counted. The user may set the partial match as a threshold count to establish a match.

Abstract: In accordance with an embodiment of the present invention, a thermally induced single-use valve is provided including a silicon wafer having a top surface and a bottom surface and at least one cavity formed in the bottom surface of the wafer, a thermally deformable membrane suspended across the cavity on the top surface of the wafer and at least one resistive element patterned on top of the thermally deformable membrane.

Abstract: The present invention relates to compounds and compositions for inducing the expansion of pancreatic ?-cells. The invention further relates to a use of these expanded pancreatic ?-cells to reversibly expand pancreatic ?-cells and other quiescent cells to overcome deficits associated with degenerative and/or autoimmune diseases.

Abstract: Intelligent routing may be provided. First, a second peer via home relay may receive presence information indicating that a first peer is connected to a first foreign relay. Then the second peer may update, in response to the presence information, a routing table to indicate that a primary place to send data to the first peer is the first foreign relay. Next, the second peer may determine from the routing table that the primary place to send the data to the first peer is the first foreign relay. Next, the home relay may receive a request from a second peer to send data to the first peer via the first foreign relay. Then, in response to determining from the routing table that the primary place to send the data to the first peer is the first foreign relay, the data may be sent to the first foreign relay.

Abstract: A system and method for yield management is disclosed wherein a data set containing one or more prediction variable values and one or more response values is input into the system. The system can pre-process the input data set to remove prediction variables with missing values and data sets with missing values. The pre-processed data can then be used to generate a model that may be a decision tree. The system can accept user input to modify the generated model. Once the model is complete, one or more statistical analysis tools can be used to analyze the data and generate a list of the key yield factors for the particular data set.