Knee anterior cruciate ligament bio stiffness measuring instrument

Aiming at the lack of timely and effective evaluation of knee anterior cruciate ligament (ACL) reconstruction, a knee ACL force and displacement measuring instrument was developed. Test experiments were carried out using a laboratory-made test platform and a robotic arm. Firstly, the importance of anterior cruciate ligament reconstruction surgery is introduced. The necessity of this kind of measuring instrument is proposed. The reliability of the lower stiffness measuring instrument under different measurement conditions in space is verified by the mechanical model of the previous ACL in-situ measurement. Then the design structure and measurement system of the instrument are introduced in detail. Finally, using the laboratory-made test platform and the UR5 robot arm and stiffness measuring instrument for the displacement and force test accuracy experiments, and the pig bone anterior cruciate ligament test and postoperative evaluation experiments, prove that the measuring instrument can be used for ACL Assessment of reconstructive surgery

Secrecy Outage on Transmit Antenna Selection/Maximal Ratio Combining in MIMO Cognitive Radio Networks

This paper investigates the secrecy outage performance of transmit antenna selection (TAS)/maximal ratio combining (MRC) in multiple input multiple output (MIMO) cognitive radio networks (CRNs) over Rayleigh fading channels. In the considered system, a secondary user (SU-TX) equipped with NA (NA 1) antennas uses TAS to transmit confidential messages to another secondary user (SU-RX), which is equipped with NB (NB 1) antennas and adopts MRC scheme to process multiple received signals. Meanwhile, an eavesdropper equipped with NE (NE 1) antennas also adopts MRC scheme to overhear the transmitted information between SU-TX and SU-RX. SU-TX adopts the underlay strategy to guarantee the quality of service of the primary user without spectrum sensing. In this paper, we derive the exact and asymptotic closed-form expressions for the secrecy outage probability. Simulations are conducted to validate the accuracy of the analysis.ARC Discovery Projects Grant DP150103905

Inhibition of miR-665 alleviates neuropathic pain by targeting SOCS1

Purpose: To investigate the effect of miR-665 in neuropathic pain and the possible molecular mechanism involved.Methods: A neuropathic pain model was established using chronic constriction injury (CCI) methods in Sprague Dawley (SD) rats. Mechanical and thermal hyperalgesia were measured using paw withdrawal threshold (PWT) and paw withdrawal latency (PWL), respectively. The inflammation response was determined by assessing the production of inflammation factors. The target relationship of miR-665 and suppressor of cytokine signaling 1 (SOCS1) was verified by luciferase assay.Results: In the CCI rat model, PWT and PWL decreased following treatment with miR-665 (p < 0.01). MiR-665 was elevated in the spinal cord and microglia of CCI rats at different time points (p < 0.01). Down-regulation of miR-665 increased PWT and PWL and inhibited the production of interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF)-α in CCI rats (p < 0.01). Luciferase assay results indicate that SOCS1 was the target of miR-665 (p < 0.01). SOCS1 decreased in CCI rats (p < 0.01) after treatment with miR-665. MiR-665 negatively regulated the expression of SOCS1 (p < 0.01). Down-regulation of SOCS1 reversed the alleviating effect of decreased miR-665 on pain sensitivity and inflammationresponse (p < 0.01).Conclusion: Down-regulation of miR-665 alleviates neuropathic pain by targeting SOCS1, and hence making miR-665 a promising therapeutic target for neuropathic pain. Keywords: MiR-665, SOCS1, Neuropathic pain, CCI, Spinal cor

Real-time Management of groundwater resource based on wireless sensor networks

Groundwater plays a vital role in the arid inland river basins, in which the groundwater management is critical to the sustainable development of area economy and ecology. Traditional sustainable management approaches are to analyze different scenarios subject to assumptions or to construct simulation–optimization models to obtain optimal strategy. However, groundwater system is time-varying due to exogenous inputs. In this sense, the groundwater management based on static data is relatively outdated. As part of the Heihe River Basin (HRB), which is a typical arid river basin in Northwestern China, the Daman irrigation district was selected as the study area in this paper. First, a simulation–optimization model was constructed to optimize the pumping rates of the study area according to the groundwater level constraints. Three different groundwater level constraints were assigned to explore sustainable strategies for groundwater resources. The results indicated that the simulation–optimization model was capable of identifying the optimal pumping yields and satisfy the given constraints. Second, the simulation–optimization model was integrated with wireless sensors network (WSN) technology to provide real-time features for the management. The results showed time-varying feature for the groundwater management, which was capable of updating observations, constraints, and decision variables in real time. Furthermore, a web-based platform was developed to facilitate the decision-making process. This study combined simulation and optimization model with WSN techniques and meanwhile attempted to real-time monitor and manage the scarce groundwater resource, which could be used to support the decision-making related to sustainable management