Search

BACKGROUND: Olfactory ensheathing cell transplantation for treating spinal cord injury is an issue of concern, which mainly explores the changes of microenvironment after spinal cord injury. However, the effect of olfactory ensheathing cell transplantation on the ultrastructure of spinal cord after spinal cord injury is never reported. OBJECTIVE: To investigate the ultrastructure alterations of neurocytes, axons, myelin sheaths, synapses, and glial scar after spinal cord injury, and the effect of olfactory ensheathing cell transplantation on the protection and regeneration of nerve repair after spinal cord injury. METHODS: The study was approved by the Ethical Committee of Biomedicine of Medical Department of Xi'an Jiaotong University, approval No. 2018-2048. Twenty female Sprague-Dawley rats ware divided into three groups: blank control group (n=4, complete laminectomy of T10, partial laminectomy of T9and T11), DF12 group (n=8, cordotomy+injection of DF12 solution), and olfactory ensheathing cell transplantation group (n=8, cordotomy+olfactory ensheathing cell transplantation). The spinal cord was removed under anesthesia to observe the ultrastructure alterations of neurocytes under transmission electron microscope at 1, 7, 28 and 56 days after injury. RESULTS AND CONCLUSION: (1) Compared with the blank control group, the organelles in the neurons of the injured lesions were significantly reduced, and the obvious changes were found in the ultrastructure of axon, synapses and myelin sheath in the DF12 group. In the olfactory ensheathing cell transplantation group, the organelles in the neurons of the injured lesions were significantly increased with obvious nucleolus, the regeneration of axon, myelin sheath and synapses were significantly promoted, and the glial scar was significantly decreased. (2) The degree of reaction of the astrocytes and perlcytes in the olfactory ensheathing cell transplantation group was light. (3) These findings suggest that olfactory ensheathing cell transplantation can effectively protect the nerve tissues in the lesions after spinal cord injury, promote the regeneration of axon, myelin sheath and synapses, and inhibit the hyperplasia of astrocytes and pericytes, so that the post-injury microenvironment is available for the regeneration of neurons, axons and synapses. [ABSTRACT FROM AUTHOR]

Error compensation technology offers a significant means for improving the geometric accuracy of CNC machine tools (MTs) as well as extending their service life. Measurement and identification are important prerequisites for error compensation. In this study, a measurement system, mainly composed of a self-developed micro-angle sensor and an L-shape standard piece, is proposed. Meanwhile, a stepwise identification method, based on an integrated error model, is established. In one measurement, four degrees-of-freedom errors, including two-dimensional displacement and two-dimensional angle of a linear guideway, can be obtained. Furthermore, in accordance with the stepwise identification method, the L-shape standard piece is placed in three different planes, so that the measurement and identification of all 21 geometric errors can be implemented. An experiment is carried out on a coordinate measuring machine (CMM) to verify the system. The residual error of the angle error, translation error and squareness error are 1.5″, 2 μm and 3.37″, respectively, and these are compared to the values detected by a Renishaw laser interferometer. [ABSTRACT FROM AUTHOR]

In this paper, the microstructure, mechanical properties, and corrosion resistance of the dental Co-Cr-Mo-W alloys fabricated by selective laser melting (SLM) were systematically investigated and correlated. The microstructure of the SLM group (SG) specimens is composed of extremely fine columnar crystals, exhibiting supersaturated and homogeneous character. The matrix mainly consists of face-centered-cubic (FCC) cobalt solid solutions, and minimal hexagonal-close-packed (HCP) cobalt solid solutions. Mechanical test results showed that the 0.2% yield strength of SG was 775 ± 7 MPa, and the ultimate tensile strength was 1118 ± 25 MPa. The elongation of SG was 8.28 ± 0.4%, and the microhardness of SG was 476 ± 10 HV. All of these values largely exceeded the cast group (CG) specimens. The high strength is attributed to their fine columnar crystals and supersaturated matrices. The fewer content from the HCP phase and a lack of intermetallic compounds or eutectic contribute to the high ductility. Furthermore, a higher Ecorr, lower Icorr were acquired for better corrosion resistance compared to cast specimens, due to even less composition segregation and more microstructural homogeneity. [ABSTRACT FROM AUTHOR]

The aim of the present study was to compare the clinical effects of arthroscopic surgery with open surgery for grade II gluteal muscle contracture (GMC) in adults and to discuss the indication and technique for arthroscopic GMC release. The clinical data of 113 adult patients with grade II GMC between 2011 and 2016 was retrospectively collected. Among these patients, 72 patients received open surgery and 41 received arthroscopic surgeryy. The 2 groups were compared in terms of surgical duration, incision size, blood loss, hospital stay, analgesic dose and ranking of postoperative functions and effects. Mean surgical duration was significantly greater in the arthroscopic surgery group (P<0.001). Mean incision size, blood loss, hospital stay and analgesic dose were significantly lower in the arthroscopic surgery group compared with the open surgery group (P<0.001). There was no significant difference observed regarding the ranking of functions and effects between the two groups. These results suggest that existing untreated patients with GMC having low-severity (grade II) contractures of limited area are suitable for arthroscopic surgery. The advantages of arthroscopic GMC release include limited surgical trauma, a small incision, low blood loss and fewer surgical complications. [ABSTRACT FROM AUTHOR]

Spinal cord injury (SCI) is a serious central trauma, leading to severe dysfunction of motor and sensory systems. Secondary injuries, such as apoptosis and cell autophagy, significantly impact the motor function recovery process. Metformin is a widely used oral anti-diabetic agent for type 2 diabetes in the world. It has been demonstrated to promote autophagy and inhibit apoptosis in the nervous system. However, its role in recovery following SCI is still unknown. In this study, we determined that motor function, assessed using the Basso, Beattie, and Bresnahan (BBB) locomotor assessment scale, was significantly higher in rats treated with metformin following injury. Nissl staining revealed that metformin also increased the number of surviving neurons in the spinal cord lesion. Western blot and immunofluorescent analysis revealed that mammalian target of rapamycin (mTOR) and P70S6 kinase (P70S6K) decreased, while the expression of autophagy markers increased and apoptosis markers declined in animals treated with metformin following SCI. Taken together, these findings suggest that metformin functions as a neuroprotective agent following SCI by promoting autophagy and inhibiting apoptosis by regulating the mTOR/P70S6K signaling pathway. [ABSTRACT FROM AUTHOR]

Human action recognition has drawn a lot of attention in the recent years due to the research and application significance. Most existing works on action recognition focus on learning effective spatial–temporal features from videos, but neglect the strong causal relationship among the precondition, action and effect. Such relationships are also crucial to the accuracy of action recognition. In this paper, we propose to model the causal relationships based on the precondition and effect to improve the performance of action recognition. Specifically, a Cycle-Reasoning model is proposed to capture the causal relationships for action recognition. To this end, we annotate precondition and effect for a large-scale action dataset. Experimental results show that the proposed Cycle-Reasoning model can effectively reason about the precondition and effect and can enhance action recognition performance. • We create new labels relevant to action (precondition/effect) to infer correlations. • We design several models fusing the new labels with visual features. • We show the new labels contribute to the improvement significantly. • The accuracy is improved in cycles where two types of labels benefit from each other. [ABSTRACT FROM AUTHOR]