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Radiotherapy plays important roles in the treatment of breast cancer (BC), which develops from malignant cells in the breast. Long non-coding RNAs (lncRNAs) have been reported to be implicated in radio-resistance or radio-sensitivity of human cancer, which includes breast cancer. Nevertheless, long intergenic non-protein coding RNA 0504 (LINC00504) has not been investigated in BC. In our study, from RT-qPCR analysis, LINC00504 was found to be up-regulated in BC cells. By conducting in vitro assays, it was confirmed that the knockdown of LINC00504 could enhance the radio-sensitivity of BC cells. The regulatory mechanism of LINC00504 in BC was also verified by chromatin immunoprecipitation (ChIP), RNA immunoprecipitation (RIP) and luciferase reporter assays. From the experimental results, we knew that the up-regulation of LINC00504 was mediated by signal transducer and activator of transcription 1 (STAT1). Moreover, LINC00504 stabilized the expression of cytoplasmic polyadenylation element-binding protein 2 (CPEB2) via binding to TATA-box binding protein associated factor 15 (TAF15). Furthermore, rescue assays validated that LINC00504 participated in regulating the radio-sensitivity of BC cells via up-regulating CPEB2. In summary, our study disclosed that STAT1 could mediate LINC00504 and weaken the radio-sensitivity of BC cells via binding to TAF15 and stabilizing CPEB2 expression.

Researched on the multi-axis CNC Integrated machining method of blade on large Francis turbine based on UG to automatic programming software architecture. Discussed the way to enhance the quality and to promote efficiency of machining .The key technology of five-axis CNC programming to large sculptured surface in hydro turbine's blade was introduced, which establishing 3-D model and tool-path generation and cutting simulation with small force, high precision and low cost. we have introduce this machining method and hope it is helpful to machining of similar parts.

In order to found out the reason that return-air overheated in the main preceding refrigeration compressor of three combined test chamber, and for trouble shooting effectively, carried out the analysis and searching fault based on course of work. At first, analyzed and judged the possible reasons that caused overheat base on experiment and common practice, but couldn’t determine it, then, inspected the compressor and adjusted valves, but couldn’t solve problem yet, finally through efforts and depth profile analysis, the real causes of malfunction were founded: there were some micronic leakage points in one of the manual valves and unloading valve of compressor in the high-pressure part of the system. The freezing medium in the system gradually missed from it on the high pressure line during long time operation, so when the leakage points were handled, the problem is properly settled. In this paper, methods and process of malfunction elimination as well as malfunction features and manifestation of the equipment in every maintenance procedure and the key to the final solutions are elaborated, which hopefully provides reference value and meaning for the maintenance of equipment of the same kind.

Kademila is the P2P overlay Network Communications Protocol designed by Petar Maymounkov and David Mazieres, which structures the distributed P2Pcomputer network. It is the P2Pinformation system based on the XOR, lays down the network structure and specify the node communication and the mode of mail exchanger. Kademila is the third generation of P2P Peer-to-Peer technology and a network mechanism of Structured P2P. It is based on the DHT (Distributed Hash Table) and XOR, and achieves Overlay Network structure , node instant allocation and the explicit search of resource, which is used widely in the new generated P2P software, such as BitTorrent and OverNet.

In the process of practical production, especially for machining of large-scale parts, how to choose cutting parameters to improve production efficiency was a difficult problem. On the MATLAB platform, the genetic algorithm was adopted to deal with the optimization of multi-variables objective function. The optimum values were gotten, the difficult problem was solved. The research’ findings are of important significance to the confirmation of three parameters of cutting machining.

As more advanced control algorithms are becoming available for the control of robotic arms, traditional fixed controller boards and associated code generators are becoming less convenient way to test such control algorithms in real-time. The process of using such boards is complex, time consuming, and inflexible. In this work, an integrated hardware-software environment was developed and presented where researchers can simply use any Matlab/Simulink basic function block and/or toolbox, such as fuzzy logic or neural network, to design, implement, and test different controller algorithms in realtime for robotic arm operations. The hardware includes a computer, the dSPACE-ds1103 digital processing board, an amplifier board, and the Zebra-ZERO robotics arm as a test-bed. Also, Matlab GUI, m-file, Matlab/Simulink blocks, and dSPACE interface functions are combined together to form the software environment. Control algorithms can be designed in the Matlab/Simulink then converted to c-code and download to the dSPACE processing board. The Matlab m-file are used to code the arm inverse kinematics model and the path planning to calculate the joint angles then send them to the dSPACE processing board using the dSPACE interface functions. Finally, the dSPACE processing board generates physical signal to control the robot arm in real-time. The proposed hardware-software components are developed and integrated together, and several control algorithms can be tested on it. The development steps and some of the realtime testing results conducted on the hardware are explained next in this extended abstract. Typically, controllers are designed to run on dedicated hardware and researchers need different hardware to test different control strategies. This can be costly and time consuming where one has to develop different control environment for every control strategy to be tested. In this work, an integrated hardware-software environment was developed for implementation and testing of different control algorithms in real-time. The integrated system is composed of a computer, a power supply, the DS1103 dSPACE controller board, an amplifier, and the Zebra- Zero force robotics arm. The computer is used to send commands to the DS1103 dSPACE controller board.Inside the DS1103 dSPACE controller board, a Texas instruments DSP micro-controller performs the necessary calculation to determine the PWM signal to be generated and sent to the amplifier. The amplifier then generates the control signals that are applied to dc-motors that drive the links. The motor encoders provide feedback position signals as output. To develop the software environment, the Matlab programming environment (m-file), Matlab's graphical user interface, Simulink, and the toolbox are all employed. A user graphical interface (GUI) was designed for user convenience. The robot can be moved to the ready position then, the forward or inverse kinematical model is chosen according to the type of input data. The links begin to move when the Move button is pressed. The user can also select different movement speed for each link. Finally, when link movement has ceased, the joint trajectories are displayed on the GUI. Trajectory planning files for position, velocity and acceleration references are also developed and implemented in the environment. Two types of trajectories are made available according to different requirements; second order polynomial and third-order polynomial trajectory. The second order polynomial trajectory is recommended for links with large angular position difference. For purpose of testing and verification, the Zebra-Zero robotics arm was used. The Lagrangian mechanics is used to develop the dynamic equations for the Zebra-Zero robotic arm. Some of the arm parameters are calculated while others are determined experimentally, e.g., the link inertias and masses. A Simulink model of the robotic arm dynamic was developed. To test the environment a control algorithm was also designed then automatically converted to C programming language and downloaded to the DS1103 dSPACE controller board. The user enters commands using the Matlab GUI. Based on input, positions or final location and orientation, the forward or inverse kinematical model is selected. In this work a PID control algorithm was designed and tested on the Zebra- Zero robotics arm. To verify the controller performance, Matlab toolbox was used to simulate the Zebra-Zero robotic arm dynamics model. The results were very comparable with the actual Zebra-Zero robotic arm hardware performance.