"Industrie 4.0" - Rechtsrahmen für eine Datenwirtschaft im digitalen Binnenmarkt

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Chemical synthesis of Burkholderia Lipid A modified with glycosyl phosphodiester-linked 4-amino-4-deoxy-β-L-arabinose and its immunomodulatory potential

Modification of the Lipid A phosphates by positively charged appendages is a part of the survival strategy of numerous opportunistic Gram-negative bacteria. The phosphate groups of the cystic fibrosis adapted Burkholderia Lipid A are abundantly esterified by 4-amino-4-deoxy-β-L-arabinose (β-L-Ara4N), which imposes resistance to antibiotic treatment and contributes to bacterial virulence. To establish structural features accounting for the unique pro-inflammatory activity of Burkholderia LPS we have synthesised Lipid A substituted by β-L-Ara4N at the anomeric phosphate and its Ara4N-free counterpart. The double glycosyl phosphodiester was assembled by triazolyl-tris-(pyrrolidinyl)phosphonium-assisted coupling of the β-L-Ara4N H-phosphonate to α-lactol of β(1→6) diglucosamine, pentaacylated with (R)-(3)-acyloxyacyl- and Alloc-protected (R)-(3)-hydroxyacyl residues. The intermediate 1,1'-glycosyl-H-phosphonate diester was oxidised in anhydrous conditions to provide, after total deprotection, β-L-Ara4N-substituted Burkholderia Lipid A. The β-L-Ara4N modification significantly enhanced the pro-inflammatory innate immune signaling of otherwise non-endotoxic Burkholderia Lipid A.

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Improved TV Algorithm Based on Adaptive Multiplier for Interference Hyperspectral Image Decomposition

Interference Hyperspectral Images (IHI) data acquired by Interference Hyperspectral Imaging Spectrometer exhibit many vertical interference stripes. The above characteristics will affect the application of dictionary learning and compressed sensing theory used on IHI data. According to the special characteristics of IHI data, many algorithms are proposed to separate the interference stripes layers and the background layers of IHI data in 2015, but the interference stripes layers are still not clean enough and the ideal background layers without interference stripes are also difficult to be obtained. In this paper, an improved total variation (TV) algorithm based on adaptive multiplier is proposed for IHI data decomposition. The value of the Lagrange multiplier is adaptive according to the unidirectional characteristics of IHI data. The proposed algorithm is used on Large Spatially Modulated Interference Spectral (LSMIS) images and is proved to provide better experimental results than the current algorithms both visually and quantitatively.

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A Novel Printable Watermarking Method in Dithering Halftone Images

Halftone images are commonly printed on books, newspapers, and magazines. How to protect the copyright of these printed halftone images becomes an important issue. Digital watermarking provides a solution for copyright protection. In this paper, we will propose a novel printable watermarking method for dithering halftone images. Based on downsampling and the property of a dispersed dithering screen, the method can resist cropping, tampering, and print-and-scan process attacks. In addition, comparing to Guo et al.’s method, the experimental results show that the proposed method provides higher robustness for the above-mentioned attacks and better visual quality in the high-frequency regions of halftone images.

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Integral Sliding Mode Control for Trajectory Tracking of Wheeled Mobile Robot in Presence of Uncertainties

Wheeled mobile robots present a typical case of complex systems with nonholonomic constraints. In the past few years, the dominance of these systems has been a very active research field. In this paper, a new method based on an integral sliding mode control for the trajectory tracking of wheeled mobile robots is proposed. The controller is designed to solve the reaching phase problem with the elimination of matched disturbances and minimize the unmatched one. We distinguish two parts in the suggested controller: a high-level controller to stabilize the nominal system and a discontinuous controller to assess the trajectory tracking in the presence of disturbances. This controller is robust during the entire motion. The effectiveness of the proposed controller is demonstrated through simulation studies for the unicycle with matched and unmatched disturbances.

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Innovative Correlation Coefficient Measurement with Fuzzy Data

Correlation coefficients are commonly found with crisp data. In this paper, we use Pearson’s correlation coefficient and propose a method for evaluating correlation coefficients for fuzzy interval data. Our empirical studies involve the relationship between mathematics achievement and other projects.

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Variants in genes belonging to the Fibroblast Growth Factor family are associated with lower extremity amputation in non-Hispanic whites: Findings from the Chronic Renal Insufficiency Cohort study

Abstract

Diabetes is the major risk factor for non-traumatic lower extremity amputation (LEA). The role of genetic polymorphisms in predisposing diabetics to impaired wound healing leading to LEA has not been sufficiently explored. We investigated the association between a set of genes belonging to the angiogenesis/wound repair pathway with LEA in the Chronic Renal Insufficiency Cohort (CRIC), a study of adults with chronic kidney disease (CKD) that includes a subgroup with diabetes. This study was performed on 3772 CRIC participants who were genotyped on the ITMAT-Broad-CARe array (IBC) chip. A total of 1017 single-nucleotide polymorphisms (SNPs) in 22 genes belonging to the angiogenesis/would repair pathway were investigated. LEA was determined from patient self-report. The association between genetic variants and LEA status was examined using logistic regression and additive genetic models after stratifying the cohort by race/ethnicity and diabetic status. Unadjusted analyses as well as analyses adjusted for age, sex, estimated glomerular filtration rate (eGFR), body mass index (BMI), peripheral vascular disease (PVD), hemoglobin A1c (HgbA1c) and population stratification were performed. In non-Hispanic white participants with diabetes, rs11938826 and rs1960669, both intronic SNPs in the gene basic fibroblast growth factor-2 (FGF2), were significantly associated with LEA in covariate-adjusted analysis (OR: 2.83 (95% CI: 1.73, 4.62); p-value: 0.000034; Bonferroni adjusted p-value: 0.0006) and (OR: 2.61 (95% CI: 1.48, 4.61); p-value: 0.00095; Bonferroni adjusted p-value: 0.02). In the same subgroup, rs10883688, an FGF8 SNP of unknown functional effect, was also associated with LEA (OR: 1.72 (95% Confidence Interval: 1.14, 2.6); p-value: 0.00999; Bonferroni adjusted p-value: 0.04). No statistically significant associations were identified in the other ethnic groups. In conclusion, variant/s in FGF2 and FGF8 may predispose diabetics with CKD to LEA. Dysregulation of the FGF2 gene represents an opportunity to understand further, and possibly intervene upon, mechanisms of wound healing in diabetics with CKD. This article is protected by copyright. All rights reserved.

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