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Abstract The processing of Norway spruce and European beech wood specimens by means of femtosecond laser pulses was investigated on conditioned natural samples as well as on samples coated with beeswax or a water-borne stain. Depending on laser pulse energies and processing times, this allowed for different modes of surface modification. At low laser intensities, an etching almost without thermal impact was detected, whereas higher laser intensities led to the generation of hierarchical micro and nanostructures. The usage of argon or atmospheric air as cover gases during the laser processing had only minor effects on the surface structures. Observed differences in the etching or functionalization of the wooden surfaces mostly originated in the chemical structure of the surface finish and the physical properties of the wood substrates, such as the density or moisture content. Manuscript submitted to journal Holzforschung, 2020

This dataset contains low-energy spectra and eigenvectors of two (1+1)-dimensional Quantum Field Theory models, the sine-Gordon (SG) and the double sine-Gordon (DSG) model, for a representative choice of parameter values. The data were computed using the Truncated Conformal Space Approach (TCSA), which is a Hamiltonian truncation method. Parameters: Cosine frequencies: β = 2.49239 for SG and β1 = 1.01066 and β2 = 2.49239 for DSG Dimensionless (mass)⨉(system size) parameter (m: first SG breather mass, L: system size): mL = 0.01, 0.1, 1, 2, 5 TCSA details: truncation basis: free massless boson CFT with Dirichlet boundary conditions, restricted to the ground state symmetry sector truncation cutoff (maximum CFT energy shell): 42 basis size: 85674 The spectra correspond to the full list of eigenvalues of the truncated Hamiltonian matrices in increasing order, and the eigenvectors correspond to matrices of dimensions 5173⨉5173, corresponding to the components of the lowest 5173 energy levels in the lowest 5173 basis states (the best convergent part of the eigenvector matrix at the top left corner). Each eigenvector corresponds to a column of the above matrices, in the same order as the eigenvalues. Format: Python NumPy .npy files The filenames are of the form: descriptor_model_mLx.npy where: descriptor = "Spectrum" or "Eigenvectors" model = "SG" or "DSG" x = 0.01, 0.1, 1, 2 or 5 (mL value) Funding information: Slovenian Research Agency (ARRS) Grants N1-0109 and P1-0402 ERC Advanced Grant 694544 – OMNES

Dataset for article "Nanostructured La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 Heterointerfaces as All-Ceramic Functional Layers for Solid Oxide Fuel Cell Applications" published in ACS Appl. Mater. Interfaces 2022. The data includes: Schematic on the nanostructures fabricated for the work (Figure 1) Top view AFM images of the nanostructures studied (Figure 3) TEM-EDX images of the nanostructures studied (Figure 4) ASTAR analysis of the nanostructures studied (Figure 5) X-Ray Diffraction data of thin films with composition: La0.75Sr0.25Cr0.5Mn0.5O3 (LSCrMn), Ce0.8Sm0.2O2 (SDC), and two La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 (LSCrMn-SDC) nanostructures -bilayer (BL) and nanocomposite (NC)- Electrochemical Impedance Spectroscopy raw data for LSCrMn, SDC and LSCrMn-SDC thin films measured under air and wet hydrogen atmospheres at different temperatures (630-750 ºC) Arrhenius analysis of the area specific resistance (ASR) of the films under air and hydrogen atmospheres In-plane conductivity evolution with temperature data measured under air and 5% hydrogen atmospheres of the two LSCrMn-SDC nanostructures ASR evolution with time measured for over 400 h at 780 ºC

A dataset providing food concept normalization using different food ontologies. There are four data sets which describe the unique food concepts from each ontology, and one main file which provides the mapping between the different ontologies. All files are in two formats (.csv, .xlsx). The prefixes for each dataset are as follows: "A" - Hansard Corpus "B" - FOODON "C" - SNOMEDCT "D" - OF

Highlights: Surface barrier discharges are an affordable and available plasma technology for industrial, laboratory and home-workshop applications. Plasma pretreatments had no impact on the appearance of different protective wood coating for outdoor usage. The weathering performance of outdoor wood coatings improved by plasma, showing less cracks and less biotic factors.

Supporting information for: [https://doi.org/10.1021/acs.jnatprod.8b00390] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/3096]

Abstract The use of wood-based materials in building and construction is constantly increasing as environmental aspects and sustainability gain importance. For structural applications, however, there are many examples where hybrid material systems are needed to fulfil the specific mechanical requirements of the individual application. In particular, metal reinforcements are a common solution to enhance the mechanical properties of a wooden structural element. Metal-reinforced wood components further help to reduce cross-sectional sizes of load-bearing structures, improve the attachment of masonry or other materials, enhance the seismic safety and tremor dissipation capacity, as well as the durability of the structural elements in highly humid environments and under high permanent mechanical load. A critical factor to achieve these benefits, however, is the mechanical joint between the different material classes, namely the wood and metal parts. Currently, this joint is formed using epoxy or polyurethane (PU) adhesives, the former yielding highest mechanical strengths, whereas the latter presents a compromise between mechanical and economical constraints. Regarding sustainability and economic viability, the utilization of different adhesive systems would be preferable, whereas mechanical stabilities yielded for metal-wood joints do not permit for the use of other common adhesive systems in such structural applications. This study extends previous research on the use of non-thermal air plasma pretreatments for the formation of wood-metal joints. The plasma treatments of Norway spruce (Picea abies (L.) Karst.) wood and anodized (E6/EV1) aluminum AlMgSi0.5 (6060) F22 were optimized, using water contact angle measurements to determine the effect and homogeneity of plasma treatments. The adhesive bond strengths of plasma-pretreated and untreated specimens were tested with commercial 2-component epoxy, PU, melamine-urea formaldehyde (MUF), polyvinyl acetate (PVAc), and construction adhesive glue systems. The influence of plasma treatments on the mechanical performance of the compounds was evaluated for one selected glue system via bending strength tests. The impact of the hybrid interface between metal and wood was isolated for the tests by using five-layer laminates from three wood lamellae enclosing two aluminum plates, thereby excluding the influence of congeneric wood-wood bonds. The effect of the plasma treatments is discussed based on the chemical and physical modifications of the substrates and the respective interaction mechanisms with the glue systems.