Guanidinoneomycin B recognition of an HIV-1 RNA helix

Aminoglycoside antibiotics are small-molecule drugs that bind RNA. The affinity and specificity of aminoglycoside binding to RNA can be increased through chemical modification, such as guanidinylation. Here, we report the binding of guanidinoneomycin B (GNB) to an RNA helix from the HIV-1 frameshift site. The binding of GNB increases the melting temperature (T(m)) of the frameshift-site RNA by at least 10 degrees C, to a point at which a melting transition is not even observed in 2 M urea. A structure of the complex was obtained by using multidimensional heteronuclear NMR spectroscopic methods. We also used a novel paramagnetic-probe assay to identify the site of GNB binding to the surface of the RNA. GNB makes major-groove contacts to two sets of Watson-Crick bases and is in van der Waals contact with a highly structured ACAA tetraloop. Rings I and II of GNB fit into the major groove and form the binding interface with the RNA, whereas rings III and IV are exposed to the solvent and disordered. The binding of GNB causes a broadening of the major groove across the binding site.     

Identification of cocoa butter equivalents added to cocoa butter I. An approach by fatty acid composition of the triacylglycerol sub-fractions separated by Ag+-HPLC

 Separation of the six sub-fractions of triacylglycerols (TAG) from cocoa butter, three cocoa butter equivalents (CBEs: calvetta, choclin and coberine) and their mixtures was carried out by silver ion high-performance liquid chromatography. The percentage fatty acid composition of all these sub-fractions was then measured by high-resolution gas chromatographic analysis of the methyl esters of the constitutive fatty acids. In particular, the percentage quantities of all acids in the fully saturated sub-fraction of pure fats and some of their mixtures were evaluated as a function of the percentage CBEs added to cocoa butter in order to devise multiple regression models. The aim was to obtain statistical tools for the identification and/or quantification of added CBEs. The results obtained show the effectiveness of TAG sub-fraction percentage fatty acid composition data for the purposes of research, as well as the potential use of stereospecific analysis of the same sub-fractions. In fact, the stereospecific analysis of TAG fractions from cocoa butter and CBEs already carried out has enabled observation of the different distributions of various fatty acids in the glycerol backbone of TAG from cocoa butter and the CBEs under study, and this will certainly result in the development of more powerful and discriminating statistical models. Received: 12 August 1997 / Revised version: 19 December 1997     

Identifying the directions of a set of 2D contours for additive manufacturing process planning

Additive Manufacturing (AM) is a process in which material is added layer by layer to build a physical part. In AM process planning, a stack of 2D closed contours is obtained when a 3D stereolithography (STL) model is sliced. Each slice may have a set of closed contours or polygons, each of which needs to be classified (oriented) as internal (clockwise) or external (counterclockwise) to identify where material should be added. This is not a straightforward task as the STL format does not ensure correct surface orientation of the 3D model. This work describes two methods for identifying the direction of each contour in a set, i.e., for sorting them into internal and external contours. Three alternative tests to check whether a point is inside or outside a polygon were evaluated. The tests are based on the ray-tracing principle and the classical point-in-polygon test. The proposed algorithms were devised and implemented in an AM process planning system. The methods were validated using 3D models with a variety of geometries, and the computing time for the alternative tests was compared. The results showed that the method based on the point-in-polygon tests has some advantages.     

Carbon-coated silver nanoparticles dispersed in a 2024 aluminum alloy produced by mechanical milling

Aluminum-based nanocomposites were produced by dispersing different contents of carbon-coated silver nanoparticles (Ag-C NP) into a 2024 aluminum alloy (Al₂₀₂₄). After milling nanostructures about 100 nm grain sizes were obtained. Increment in mechanical properties was observed in all composites synthesized. The reinforcement nanoparticles were distributed homogeneously into the Al₂₀₂₄ matrix by mechanical milling process. The yield strength (σ_y) and Brinell hardness (HB), of the nanocomposites increased as the nanoparticles content was increased as well.     

Fatigue and post-fatigue tensile behaviour of non-crimp stitched and unstitched carbon/epoxy composites

An experimental study is described in this paper dealing with the tensile–tensile fatigue and the quasi-static post-fatigue tensile behaviour of a structurally stitched multi-ply carbon composite and the unstitched counterpart. The influence of the stitching on the fatigue life and on the residual post-fatigue quasi-static properties in two principal direction is investigated. The fatigue behaviour of both composites is represented by Wöhler-like diagrams. The damage imparted during fatigue is studied by X-ray analyses. The residual mechanical properties of the fatigued composites after different number of cycles are compared in term of stiffness and strength. The post-fatigue quasi-static tensile tests include acoustic emission (AE) registration and full-field surface strain mapping (SM) to investigate the damage onset and development. The main conclusions of the experimental work are: the fatigue life is improved in the direction of the structural stitching and is reduced in the orthogonal direction; for the considered cyclic stress level the post-fatigue reduction of the mechanical properties is limited by the structural stitching.     

Network controller design for SONATA-a large-scale all-optical passive network

This paper describes the network architecture and provides a performance analysis of a passive optical network named SONATA, which has been proposed and demonstrated in the context of the European Union ACTS Program. In this nationwide all-optical network, end terminals access a single passive routing node via PONs using a TDMA/WDMA access scheme based on reservations. The centralized network controller runs resource allocation algorithms in order to avoid conflicts among end terminals. We formally define the resource allocation problem at the network controller, and show that, in general, it is NP-hard. We also provide simple heuristic algorithms to solve the problem. The analysis of the algorithms is performed both via analysis and simulation.     

Multistage Switching Architectures for Software Routers

Software routers based on personal computer (PC) architectures are becoming an important alternative to proprietary and expensive network devices. However, software routers suffer from many limitations of the PC architecture, including, among others, limited bus and central processing unit (CPU) bandwidth, high memory access latency, limited scalability in terms of number of network interface cards, and lack of resilience mechanisms. Multistage PC-based architectures can be an interesting alternative since they permit us to i) increase the performance of single- software routers, ii) scale router size, iii) distribute packet-manipulation and control functionality, iv) recover from single-component failures, and v) incrementally upgrade router performance. We propose a specific multistage architecture, exploiting PC-based routers as switching elements, to build a high-speed, large-size, scalable, and reliable software router. A small-scale prototype of the multistage router is currently up and running in our labs, and performance evaluation is under way.     

Epigenetic and Genetic Factors Related to Curve Progression in Adolescent Idiopathic Scoliosis: A Systematic Scoping Review of the Current Literature

Adolescent idiopathic scoliosis (AIS) is a progressive deformity of the spine. Scoliotic curves progress until skeletal maturity leading, in rare cases, to a severe deformity. While the Cobb angle is a straightforward tool in initial curve magnitude measurement, assessing the risk of curve progression at the time of diagnosis may be more challenging. Epigenetic and genetic markers are potential prognostic tools to predict curve progression. The aim of this study is to review the available literature regarding the epigenetic and genetic factors associated with the risk of AIS curve progression. This review was carried out in accordance with Preferential Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search was carried out in January 2022. Only peer-reviewed articles were considered for inclusion. Forty studies were included; fifteen genes were reported as having SNPs with significant association with progressive AIS, but none showed sufficient power to sustain clinical applications. In contrast, nine studies reporting epigenetic modifications showed promising results in terms of reliable markers. Prognostic testing for AIS has the potential to significantly modify disease management. Most recent evidence suggests epigenetics as a more promising field for the identification of factors associated with AIS progression, offering a rationale for further investigation in this field.     

Gas Sensing of NiO‐SCCNT Core–Shell Heterostructures: Optimization by Radial Modulation of the Hole‐Accumulation Layer

Hierarchical core–shell (C–S) heterostructures composed of a NiO shell deposited onto stacked‐cup carbon nanotubes (SCCNTs) are synthesized by atomic layer deposition (ALD). A film of NiO particles (0.80–21.8 nm in thickness) is uniformly deposited onto the inner and outer walls of the SCCNTs. The electrical resistance of the samples is found to increase of many orders of magnitude with the increasing of the NiO thickness. The response of NiO–SCCNT sensors toward low concentrations of acetone and ethanol at 200 °C is studied. The sensing mechanism is based on the modulation of the hole‐accumulation region in the NiO shell layer upon chemisorption of the reducing gas molecules. The electrical conduction mechanism is further studied by the incorporation of an Al₂O₃ dielectric layer at NiO and SCCNT interfaces. The investigations on NiO–Al₂O₃–SCCNT, Al₂O₃–SCCNT, and NiO–SCCNT coaxial heterostructures reveal that the sensing mechanism is strictly related to the NiO shell layer. The remarkable performance of the NiO–SCCNT sensors toward acetone and ethanol benefits from the conformal coating by ALD, large surface area of the SCCNTs, and the optimized p‐NiO shell layer thickness followed by the radial modulation of the space‐charge region.