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Concomitant hypermethylation of multiple genes in non-small cell lung cancer (NSCLC)

100%

Ji M. , Guan H. , Shi B. , Hou P.

tom 49

nr 1

miR-590-3p Alleviates diabetic peripheral neuropathic pain by targeting RAP1A and suppressing infiltration by the T cells

100%

Wu Y. , Gu Y. , Shi B.

tom 67

nr 4

Fatigue Behavior and Mechanism of FV520B-I Owing to the Effect of Loading Frequency on the Fatigue Property in HCF and VHCF Regime

75%

Wang J. , Zhang Y. , Shi B. , Zhao Q. , Sun Q. , Zhang Z. , Lu H.

tom Vol. 63, iss. 1

347--357

Fatigue property of FV520B-I is affected by the ultrahigh loading frequency significantly, and the ultrasonic fatigue experimental data can’t be employed directly to analyze the fatigue failure in the actual remanufacturing engineering. However few theories about the effect of loading frequency on the fatigue property of FV520B-I has ever been proposed. In this paper, both ultrasonic experiment and conventional experiment are conducted out to obtain the fatigue data. The effect of loading frequency on the fatigue data distribution is discussed firstly, its fatigue limit declines with the increase of the loading frequency. Then the fracture surface observations are captured, the fatigue property and fatigue behavior mechanism of FV520B-I is examined by analyzing the fracture surface features, crack initiation and failure observations. A new material frequency correction factor is proposed and introduced to eliminate the influence of the loading frequency on the FV520B-I fatigue property. FV520B-I empirical fatigue life conversion model and fatigue strength conversion model are established with comprehensive use of a fitting algorithm based on the combination of experimental data and classic formula. A clear understand of the effect of loading frequency on the fatigue property of FV520B-I is novel and has an important significance in guaranteeing the accuracy of the actual fatigue analysis of FV520B-I in the remanufacturing engineering.

Enabling cellular-resolution connectomic analysis of the primate cortex: Sharing data on cortico-cortical connectivity through an open access web platform

75%

Majka P. , Chan J. , Shi B. , Wolkowicz I. H. , Jermakow N. , Rosa M.

nr Suppl.1

INTRODUCTION: Processes such as perception, action and cognition are determined by the connectivity between different neuronal groups. Understanding the principles of this network is a core objective of present-day neuroscience. Several animal models are used to investigate this relationship between structure and function, among them marmosets, which recently came to prominence. They are small monkeys (300–400 g) but their brain retains all defining features of the primate brain. AIM(S): The aim is to create a publicly available, the world’s most comprehensive repository of the afferent cortico-cortical connectivity of any primate species, enabling a new level of analysis and modelling. The connectome will be publicly available on‑line making it possible to flexibly access all the data via a graphical front-end or via an application programming interface. METHOD(S): The already available body of data comprises results of over 100 monosynaptic retrograde tracer injections in marmosets. The brains were cut in 40 µm sections. The sections were plotted using an epifluorescence microscope, and stained for Nissl substance. To map individual injections into the atlas space, a previously established pipeline was used. RESULTS: The current version of the portal is available at http://marmoset.braincircuits.org. It allows one to access unprocessed experimental data, mostly injections in dorsal prefrontal cortex, parietal and occipital lobes. Additionally, the locations of individual cells are expressed in atlas-based stereotaxic coordinates which allows one to perform either area-based or parcellation-free connectivity analyses. CONCLUSIONS: The release of open access connectomes is known for triggering numerous follow-up modelling and theoretical studies. In a longer perspective, the unique nature of data in our project will help to understand how the highly complex network of neuronal connections enable brain functions in primates, and, in general, in mammals. FINANCIAL SUPPORT: The project is supported by the Australian Research Council grant (DP140101968) and International Neuroinformatics Coordinating Facility Seed Funding grant.