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Aims Diabetes surgery is growing in popularity and has been shown to have marked effects on diabetes. However, several studies have shown it may induce some renal injury, and, currently, the impact of diabetes surgery on renal function is unclear. In this study, we examined renal function and histological changes in rats with diabetic nephropathy (DN) following a duodeno-jejunal bypass (DJB) operation. Methods Rats with streptozotocin (STZ)-induced diabetes were randomly assigned to 3 groups: DJB group (DJB), Sham-DJB group (S-DJB) and diabetes group (DM). Six age-matched normal rats were assigned as the control group. DJB and sham surgery were performed. Body weight, food intake, glucose levels, lipid parameters, cystatin C (Cys_C) levels, serum and urinary creatinine, 24 h urine albumin excretion rate (UAER) and glomerular filtration rate (GFR) were measured. Histological analysis and immunohistochemical studies of renal sections were also performed. Results DJB ameliorated renal function by improving UAER, GFR and Cys_C levels 4 and 8 weeks after surgery. It also improved lipid metabolism by decreasing fasting total serum cholesterol (TC) and triglyceride (TG) levels. Immuno-staining of synaptopodin showed podocyte injury was also improved in DJB glomeruli compared with sham and DM groups. Histological analysis showed that the mesangial expansion was not significantly prevented 8 weeks after DJB surgery. Conclusion DJB ameliorated renal function in UAER and GFR but not mesangial expansion in a DN rat model. The improvement of renal function may be attributed to reversing the injury or loss of podocytes after DJB surgery.

Active Hobo/Activator/Tam3 (hAT) transposable elements are rarely found in vertebrates. Previously, goldfish Tgf2 was found to be an autonomously active vertebrate transposon that is efficient at gene-transfer in teleost fish. However, little is known about Tgf2 functional domains required for transposition. To explore this, we first predicted in silico a zinc finger domain in the N-terminus of full length Tgf2 transposase (L-Tgf2TPase). Two truncated recombinant Tgf2 transposases with deletions in the N-terminal zinc finger domain, S1- and S2-Tgf2TPase, were expressed in bacteria from goldfish cDNAs. Both truncated Tgf2TPases lost their DNA-binding ability in vitro, specifically at the ends of Tgf2 transposon than native L-Tgf2TPase. Consequently, S1- and S2-Tgf2TPases mediated gene transfer in the zebrafish genome in vivo at a significantly (p Tgf2TPase (56% efficiency). Compared to L-Tgf2TPase, truncated Tgf2TPases catalyzed imprecise excisions with partial deletion of TE ends and/or plasmid backbone insertion/deletion. The gene integration into the zebrafish genome mediated by truncated Tgf2TPases was imperfect, creating incomplete 8-bp target site duplications at the insertion sites. These results indicate that the zinc finger domain in Tgf2 transposase is involved in binding to Tgf2 terminal sequences and loss of those domains has effects on TE transposition.

It is found that super-resolution algorithm is influenced seriously by landform in the course of usage. The reason is that the reflection echo model is not matched to the true signal radiate path. The raytracing method is adopted to make the model more close to the true signal radiate path, and the landform adaptability of super-resolution algorithm is improved. Results of emulation and experiment data show that this algorithm is very effective in improving the landform adaptability of super-resolution algorithm. The proposed algorithm is also affected by landform. The angle measurement precision becomes lower while the hypsography becomes worse.

Goldfish Tgf2 transposon of Hobo/Activator/Tam3 (hAT) family can mediate gene insertion in a variety of aquacultural fish species by transposition; however, the protein structure of Tgf2 transposase (TPase) is still poorly understood. To express the goldfish Tgf2 TPase in Escherichia coli, the 2061-bp coding region was cloned into pET-28a(+) expression vector containing an N-terminal (His)6-tag. The pET-28a(+)-Tgf2 TPase expression cassette was transformed into Rosetta 1 (DE3) E. coli lines. A high yield of soluble proteins with molecular weight of ~80 kDa was obtained by optimized cultures including low-temperature (22 °C) incubation and early log phase (OD600 = 0.3–0.4) induction. Mass spectrometry analysis following trypsin digestion of the recombinant proteins confirmed a Tgf2 TPase component in the eluate of Ni2+-affinity chromatography. When co-injected into 1–2 cell embryos with a donor plasmid harboring a Tgf2 cis-element, the prokaryotic expressed Tgf2 TPase can mediate high rates (45 %) of transposition in blunt snout bream (Megalobrama amblycephala). Transposition was proved by the presence of 8-bp random direct repeats at the target sites, which is the signature of hAT family transposons. Production of the Tgf2 Tpase protein in a soluble and active form not only allows further investigation of its structure, but provides an alternative tool for fish transgenesis and insertional mutagenesis.

This paper presents an edge detection method brought to videogrammetric systems for micro-platform. As the motion precision of platform has a direct impact on the process of precision, so the edge detection in the visual measurement process is also particularly important. The algorithm has a good ability of anti-interference, and the image which been detected is smooth, neat and it always be with good availability. At the last, a platform edge model is received and proved this method.

This paper put forward an algorithm to measure the position and pose of the six degrees of freedom micro-platform based on monocular visual. Firstly, the micro-platform is abstracted for the Cuboid. We solid the Cuboid which knows its initial position and pose with the world coordinate system together, and select vertices and edges as the feature elements from the Cuboid. The feature elements can be traced by the fixed single camera in 3D space. According to the relationship between working micro-platform and camera model, we can get the position and pose of micro-platform in three-dimensional coordinate.

Power transform is a nonlinear pretreatment method, which can improve the recognition rate of high resolution range profiles obviously. This paper mainly analyses how we should decide the power transform coefficient in order to get good recognition results. We process the range profiles in different noise condition using different power transform coefficients, and then we classify them with radial basis function classifiers. According to the real data processing results, we know that we should decide power transform coefficients in accordance with the signal-to-noise ratio. (4 pages)