Typical Texture Research Articles

Surface Roughening Behavior and Mechanism in Aluminum Alloy Under Tensile Deformation

Surface roughening (SR) has been found to occur in solid solution 2219 aluminum alloy under tensile deformation, which will deteriorate its surface quality. To make a precise study of the surface roughening (SR) behavior and mechanism, the surface morphology of annealed and solid solution 2219 aluminum alloy was compared and crystal plasticity finite element (CPFE) simulation was carried out in this study. Thereinto, representative volume element (RVE) models of polycrystals were established according to the initial grain morphology measured by electron backscatter diffraction (EBSD). The results show that the surface roughening degree of the solid solution specimen is worse than that of annealed specimen after uniaxial tension deformation. In comparison with the annealed specimen, the grains show a larger size after solid solution treatment, thus resulting in the coarse surface to a certain extent. Moreover, texture type and density also have a significant influence on surface roughness. The rotation of grains with an S and Copper orientation intensifies the surface roughening during tensile deformation. The deformation difficulty of Goss texture in the normal direction (ND) and tangential direction (TD) varies, thus contributing to the different surface morphology. The research results will provide guidance for the improvement of the surface quality of high-strength aluminum alloy aerospace components.

Evaluation of Soils Affected by Salts in the Al-Jufra - Sokna Area

This study was conducted to assess the extent of the impact of natural, environmental and human factors on soil salinity and its distribution variation in the Al-Jufra region, specifically in the Al-Hamam Agricultural Project - Sokna, in addition to identifying the type of soil prevailing in the region. To achieve the objectives of this study, a series of laboratory experiments were conducted where samples were collected from the surface layer 0 - 30 cm and the subsurface layer 30 - 60 cm and were prepared and some physical and chemical properties were estimated, including pH, EC, CaCO3, O.M. CEC. After conducting the tests, it was noted that most of the soils in the study area have three different types of texture. The results of the chemical analysis showed a high electrical conductivity of the surface layer soil compared to the subsurface layer. On the other hand, the results showed high ESP values for most soils, as its value in the surface layer was higher than the lower layer of the soil. The study shows the role played by human factors in the increasing phenomenon of salinization of agricultural soils in the project area through mismanagement by leaving the land fallow after exploitation, and the lack of drains and the low efficiency of the existing ones.

Fauna Assemblages and Depositional Environment of Recent Deposits in Al-Salhiya Island, Southeastern Part of Basrah Governorate, Southern Iraq

The present study was carried out to give a clear view of the sedimentological characteristics, and to identify the types of faunal assemblages in Al-Salhiya Island. The results showed two types of sediment texture: Sandy silt deposits and Silt deposits. Sandy silt deposits are dominant at most depths in the study area. The graphic mean size of the sediments indicated that the sediments are soft and reflect the nature of the sedimentation environment, which was calm and had a low transport capacity. Also, the statistical size parameters of the sediments indicated that the region is under the influence of marine tidal environments, shallow brackish marsh environments, and fresh marsh-fluvial environments. This study dealt with the fauna assemblages. It is revealed through the distribution and spread of these groups that the most important species identified for Foraminifera are Ammonia beccarii, Ammonia tepida, and Eliphidium inertum, whose prevailing presence together and in most of the depths indicated brackish-shallow water environment, with varying temperatures and estuarine environments. Also, the species Quinqueloculina poyana and Spirocolina laevigata are identified. One species of Ostercoda was identified: Cyprideis torosa. The presence of this type indicates a shallow, lower estuarine-marine environment. This study identified 8 species of the Gastropoda, most of which live in lower estuarine-marine environments. This indicated that the area was affected by tidal currents and marine progress due to its proximity to the coastline of the Shatt al-Arab. Also, this study showed two types of Pelecypoda that are widely distributed and common in all depths, their presence together with the Gastropod and Pelecypoda debris reflects the effectiveness of tidal currents in transporting them to the area.

Brevibacterium enzymes as biological tools for ochratoxin A detoxification in dairy foods

The origin of ochratoxin A (OTA) in cheeses is mainly due to mould growth during the ripening process, and to a lesser extent, to the use of OTA-contaminated milk in cheese production. Bacterial smear-ripened cheeses developed a smear microbiota on their rind during ripening that greatly contributes to its typical aroma and texture. Bacteria from the Brevibacterium genus belong to the typical smear microbiota of cheeses. Type strains from Brevibacterium species frequently isolated from cheese and milk products were able to transform OTA into much less toxic ochratoxin α (OTα) and L-phenylalanine. Protein searches allowed the identification of a protein annotated as amidohydrolase in these OTA-degrader Brevibacterium strains. The OTA-hydrolytic activity of the identified amidohydrolase was demonstrated by the heterologous production of this protein from B. linens DSM 20425T (BlOTA). In vitro assays revealed that BlOTA transformed OTA into less toxic OTα, as well as ochratoxin B. When compared with other previously described OTA-degrading amidohydrolases, BlOTA exhibited optimal activity at a higher pH (8.0), while showing similar high temperature for optimal activity (55 °C) and thermostability; in addition, a clear preference for substrates with Phe, Tyr or Leu amino acid residues at the C-terminal position was clearly observed. BlOTA efficiently detoxifies OTA-contaminated bovine milk, without provoking changes on its free amino acid composition. Moreover, in silico predictions revealed that BlOTA is a non-allergenic, non-antigenic, and poorly immunogenic protein. Therefore, the QPS status possessed by cheese-Brevibacterium species, as well as the characteristics exhibited by BlOTA, make them suitable tools for the biological detoxification of OTA in dairy and food products.

Annealing textures of low stacking fault energy (SFE) FCC materials: Traversing binary to high entropy alloys (HEAs)

Although the origin of brass-type deformation texture in low SFE alloys has been extensively investigated, the annealing textures of such materials have received less attention, mostly limited to brass and different austenitic steels. On the other hand, the annealing textures of low SFE HEAs have been investigated more intensively recently; however, a comprehensive insight into annealing texture formation from HEAs down to binary systems is missing. To bridge the gap, the annealing texture of FCC single-phase Cu-11.6 at%Al alloy with SFE ∼10 mJm−2 comparable to HEAs was first investigated as a model binary system and compared with selected low SFE binary, medium entropy (MEAs), and HEAs to understand the similarities and characteristic differences. The cold-rolled alloy showed massive nanostructure and a typical brass-type texture featured by a strong B ({110}<112>) component expected for a low SFE alloy. Annealing resulted in ultrafine recrystallized microstructure but extensive grain growth at higher temperatures, like other binary alloys but unlike HEAs. The annealing texture showed the retention of deformation components, weak α-fiber (ND//<110>) components and a high random fraction. These features were very similar to HEAs/MEAs and attributed to the absence of oriented nucleation (ON) or oriented growth (OG) mechanisms. However, striking differences such as strong BR ({236}<385>) and D ({113}<332>) components in the brass alloy, selective growth of the G ({110}<001>) and G/B ({110}<115>) in binary Ni-60wt%Co alloy, and strong retention of the {110}<112> component in the annealing texture of (FCC+B2) dual-phase AlCrFe2Ni2 HEA were remarkable. These outcomes indicated underlying microstructural effects on annealing texture formation in low SFE binary to HEAs/MEAs and should motivate further research.

Simulation analysis and experimental research of friction performance between wood and cemented carbide surface with different micro-textures

ABSTRACT Reasonable micro-pit texture has been proved to be able to improve the friction characteristics between wood and cemented carbide. In this paper, the finite element simulation analysis was used to simulate the friction surface stress, the simulation model was determined, and the simulation results were combined with the friction characteristics test to study the influence of different texture types on the friction coefficient of the wood surface. The results show that the friction coefficient and the stress magnitude of friction between cemented carbide and wood surface have a good linear correlation (R 2 = 0.9414), the finite element simulation can provide a reference for the study of friction behavior in the wood cutting process. The friction coefficient can be influenced by texture parameters such as texture type, the friction length, the width of micro-texture and the angle of micro-texture. Under the condition of the same texture area occupancy, the surface friction coefficient of the micro-pit texture is the smallest; the surface friction coefficient of the micro-groove texture is the largest, and the micro-grid texture has the smaller friction coefficient with the decrease of the texture angle. This is related to the actual contact area between the texture area of the friction area and the wood surface and the main braking force generated during contact.

A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Feasibility Development Study.

Breast implants, including textured variants, have been widely used in aesthetic and reconstructive mammoplasty. However, the textured type, which is one of the shell texture types of breast implants, has been identified as a possible etiologic factor for lymphoma, specifically breast implant-associated anaplastic large cell lymphoma (BIA-ALCL). Identifying the shell texture type of the implant is critical to diagnosing BIA-ALCL. However, distinguishing the shell texture type can be difficult due to the loss of human memory and medical history. An alternative approach is to use ultrasonography, but this method also has limitations in quantitative assessment. This study aims to determine the feasibility of using a deep learning model to classify the shell texture type of breast implants and make robust predictions from ultrasonography images from heterogeneous sources. A total of 19,502 breast implant images were retrospectively collected from heterogeneous sources, including images captured from both Canon and GE devices, images of ruptured implants, and images without implants, as well as publicly available images. The Canon images were trained using ResNet-50. The model's performance on the Canon dataset was evaluated using stratified 5-fold cross-validation. Additionally, external validation was conducted using the GE and publicly available datasets. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (PRAUC) were calculated based on the contribution of the pixels with Gradient-weighted Class Activation Mapping (Grad-CAM). To identify the significant pixels for classification, we masked the pixels that contributed less than 10%, up to a maximum of 100%. To assess the model's robustness to uncertainty, Shannon entropy was calculated for 4 image groups: Canon, GE, ruptured implants, and without implants. The deep learning model achieved an average AUROC of 0.98 and a PRAUC of 0.88 in the Canon dataset. The model achieved an AUROC of 0.985 and a PRAUC of 0.748 for images captured with GE devices. Additionally, the model predicted an AUROC of 0.909 and a PRAUC of 0.958 for the publicly available dataset. This model maintained the PRAUC values for quantitative validation when masking up to 90% of the least-contributing pixels and the remnant pixels in breast shell layers. Furthermore, the prediction uncertainty increased in the following order: Canon (0.066), GE (0072), ruptured implants (0.371), and no implants (0.777). We have demonstrated the feasibility of using deep learning to predict the shell texture type of breast implants. This approach quantifies the shell texture types of breast implants, supporting the first step in the diagnosis of BIA-ALCL.

Microstructure and crack propagation behavior of 2195 Al–Li alloy with different orientations in the friction stir welding nugget zone

The 2195 Al–Li alloy is widely used in the aerospace field, where using friction stir welding technology can achieve lightweight and reduced wear designs for components. Fatigue failure, as one of the main modes of damage affecting the life and reliability of structural components, is particularly significant. This paper thoroughly explores the differences in microstructure and fatigue crack propagation behavior between the advancing side and retreating side of the friction stir welded joint in different sampling directions, providing a theoretical basis for enhancing the fatigue performance of friction stir welds. Characterization of the microstructure of the samples was performed using Electron Backscatter Diffraction (EBSD) and X-Ray Diffraction (XRD), and the fatigue properties were investigated using fatigue crack propagation rate curves and crack growth rate curves. The results indicate that the longitudinal base material grains tend to a fibrous structure, while the axial base material grains are distributed in a lamellar fashion. Compared to the advancing side of weld nugget zone, the retreating side of weld nugget zone has significantly reduced grain size and texture types. The fatigue performance of the retreating side of the weld nugget zone is superior to that of the advancing side, and the circumferential welds outperform the longitudinal welds in terms of fatigue performance.

Определение типа текстуры в сверхрешетках Co/Cu

The study of the state of interlayer boundaries (interfaces) in various multilayer systems is an actual and difficult task, for the solution of which local methods are used. The effectiveness of nuclear magnetic resonance (NMR) in the study of Co/Cu superlattices has been shown many times. However, in the published works nuclear magnetic resonance was used to determine the type of crystal lattice in cobalt layers and the features of the structure of Co/Cu interfaces. In the present work, a method for determining the type of texture formed in Co/Cu superlattices is proposed. The method is based on the interpretation of NMR and X-ray diffraction data using three-dimensional modeling of the structure of interlayer interfaces.

Microstructure and texture evolution of 2A12 aluminum alloy semi-solid billet prepared by SIMA process

In order to make up for the lack of research on the preparation process of semi-solid billet of 2A12 aluminum alloy, this paper adopts strain-induced melting activation (SIMA) process to prepare semi-solid billet of 2A12 aluminum alloy, and studies the effect of different SIMA process parameters on the microstructure and texture evolution. The results indicated a notable increase in both the average grain size (AGS) and shape factor (SF) with prolonged isothermal time under the condition of constant isothermal temperature. When the isothermal time is the same, the AGS is larger at low isothermal temperature, the SF is higher at high isothermal temperature, and the grain spheroidization is more obvious; The influence of the uneven strain distribution of the compression sample on the microstructure evolution during the subsequent semi-solid isothermal treatment (SSIT) process was studied by finite element method; At an isothermal temperature of 590°C and an isothermal time of 15 minutes, the recrystallization is basically completed, and the elongated grains are completely transformed into spherical isaemic crystals. The main texture types of the original extruded sample and the compression sample are <110> ‖CD and <010> ‖CD texture, respectively. The SSIT process will make the grain orientation approach to random orientation; The strong segregation of Cu and mild segregation of Mg and Zn were observed at the grain boundary during SSIT process; A suitable coarsening kinetic equation was determined, and the influence of isothermal temperature on the coarsening rate constant was studied.

Involvement of syn–, para– and post–magmatic hydrothermal fluids in the alteration of the Kamthai carbonatite complex (India): Insights from in-situ measured 87Sr/86Sr isotope and trace element composition of calcite

The major-trace element and C-O-Sr isotopic composition of calcite constitute important proxies for reconstructing the magmatic and hydrothermal evolution of carbonatites. This study reports new 87Sr/86Sr isotope data measured in-situ from six textural types of calcite in carbonatite and fenitized phonolites of the Kamthai carbonatite complex in western India. Textural relations, along with major-trace element chemistry, and Sr isotope composition helps to discriminate four types of calcite in carbonatites—magmatic (CalM), partially reequilibrated magmatic (CalPR), and two varieties of secondary (CalSK and CalS). CalM has high concentrations of ƩREE + Y, Sr, Ba and Mn, restricted 87Sr/86Sr (0.70437 ± 0.00005), and lacks Ce or Y anomaly. It crystallized from late-stage brine-melt together with primary carbocernaite after prolonged fractional crystallization of the carbonatite magma. CalPR has identical 87Sr/86Sr (0.70425 ± 0.00024) as CalM, and formed by its partial reequilibration, accompanied by significant loss of REE, and Sr during interaction with synmagmatic fluid. The two secondary varieties of calcite in the carbonatites have overlapping but marginally higher 87Sr/86Sr (CalSK = 0.70469 ± 0.00041; CalS = 0.70478 ± 0.00025) compared to CalM, which indicates that they were altered by syn– to para– magmatic fluids with minor contribution from post-magmatic fluid (e.g., external crust-derived fluid). Both types are highly porous and have low-Z contrast in back scattered electron images, which is the result of expulsion of most of its original Sr and REE budget during fluid-induced reequilibration. Two types of secondary calcite (CalS1 and CalS2) are identified in three veins within fenitized phonolite. These contain the lowest abundance of ΣHREE + Y, Sr, Ba and Mn. One type (CalS2) occurs in calcite-quartz-pyrite veins and is characterized by LREE-depleted REE patterns and igneous-calcite-like 87Sr/86Sr (0.70434 ± 0.00073). It possibly crystallized from evolved late-stage para-magmatic fluids from the carbonatite magma after the brine-melt stage of primary LREE mineralization. The other type of vein calcite (CalS1) is characterized by strong negative Ce (δCe*: ≪0.034) anomalies, which indicates that it crystallized from oxidized fluids from which Ce was removed as Ce (IV). The 87Sr/86Sr of some of these calcites are significantly more radiogenic (0.70768 ± 0.00011) than magmatic calcite. This indicates that post-magmatic fluid played a significant role in their formation. Two component mixing calculations show that up to 40–70 % post-magmatic fluid mixed with syn-magmatic fluid can account for their Sr isotope composition. Magmatic calcite and carbocernaite were the major sources of REE and Sr during secondary redistribution.

Effects of grain size, dislocation density, and texture type on the etching behavior of Cu target in magnetron sputtering process

Abstract Copper thin film is commonly applied in the microelectronics and battery industries, and environmentally friendly magnetron sputtering process is one of the main coating processes. The effects of grain size, dislocation density, and texture type of Cu target on sputtering efficiency were researched in this work. High-purity copper cast ingots were rolled into plates. Pieces were then cut from different surfaces of the plates and assembled into the targets named as Target 1, Target 2, and Target 3 for magnetron sputtering. To investigate the etching behavior of the three targets, EBSD technology was utilized for analysis, and the micro-morphologies of the etching grooves were observed using SEM. After the sputtering process, the weight loss rate and etching depth of the various targets were measured to compare the respective sputtering efficiency. Target 1 exhibited the highest sputtering weight loss rate at any time period compared to Target 2 and Target 3, and reached its maximum depth after every 15 minutes of sputtering. In the first 45 minutes, the etching depth of Target 2 was slightly greater than that of Target 3. While the etching depth of Target 3 increased significantly in the last 15 minutes compared to that of Target 2. The most significant factor influencing the sputtering efficiency of the target material was grain size, with finer grains leading to higher sputtering efficiency. The dislocation density had a greater impact in the first 30 minutes, but the texture type became more important as the sputtering process continued.

Giant plagioclase in the Steens Basalt, southeast Oregon, USA: Tracking the balance of differentiation processes in continental flood basalt evolution

Giant plagioclase basalts (GPBs), flows that contain abundant and conspicuous plagioclase crystals ≥1 cm in length, exist at many continental flood basalt provinces, and their presence can provide a window into the crustal differentiation processes and storage conditions that produced the magmas prior to eruption. GPB flows occur in the Steens Basalt of southeast Oregon, USA, one of the earliest members of the Columbia River Flood Basalt Group, but their origin in this province has not been studied in detail. We conducted quantitative textural analysis utilizing crystal size distributions (CSDs) at the outcrop and thin section scale, as well as in situ plagioclase trace element and isotopic compositional analysis, in order to elucidate the processes responsible for generating two end-member textural types of GPB found in the Steens Basalt: daisy stone glomerocryst clusters composed of radiating plagioclase laths and single isolated plagioclase. CSD patterns suggest a changing balance of multiple differentiation processes affected the magmas that created each GPB textural type. In the daisy stone plagioclase, crystals rarely exhibit resorption textures, trace element abundances are comparatively low with minimal variability, and Sr isotopes are commonly in equilibrium with groundmass. In the single isolated plagioclase, resorption textures are common, trace element abundances are generally higher and display within crystal variation, and Sr isotopes are typically not in equilibrium with groundmass. These distinctive characteristics require separate mechanisms to generate each end-member GPB texture. Daisy stone GPBs form by growth of large crystals following mafic recharge events that completely resorb entrained cumulate plagioclase. A large amount of plagioclase may then grow with minimal cooling following recharge due to saturation in plagioclase components. In contrast, single isolated GPBs are the result of partial resorption of both entrained and resident plagioclase following less voluminous and less primitive recharge events; regrowth then occurs on the partially resorbed cores when cooling resumes. Both GPB types are formed by thermal cycling, but each texture reflects the differentiation processes that were prevalent during different eruptive stages of the Steens Basalt, as the balance between recharge, crystal fractionation, and assimilation varied in time.

Reentrant multiple-q magnetic order and a “spin meta-cholesteric” phase in Sr3Fe2O7

Topologically nontrivial magnetic structures such as skyrmion lattices are well known in materials lacking lattice inversion symmetry, where antisymmetric exchange interactions are allowed. Only recently, topological multi-q magnetic textures that spontaneously break the chiral symmetry, for example, three-dimensional hedgehog lattices, were discovered in centrosymmetric compounds, where they are instead driven by frustrated interactions. Here we show that the bilayer perovskite Sr3Fe2O7, previously believed to adopt a simple single-q spin-helical order, hosts two distinct types of multi-q spin textures. Its ground state represents a novel multi-q spin texture with unequally intense spin modulations at the two ordering vectors. This is followed in temperature by a new “spin meta-cholesteric” phase, in which the chiral symmetry is spontaneously broken along one of the crystal directions, but the weaker orthogonal modulation melts, giving rise to intense short-range dynamical fluctuations. Shortly before the transition to the paramagnetic state, vortex-crystal order spanned by two equivalent q vectors emerges. This renders Sr3Fe2O7 an ideal material to study transitions among multiple-q spin textures in a centrosymmetric host.

Dynamic Analysis of UPLC-MS/MS for Sugar and Organic Acid Components of Pears with Different Flesh Texture Types During Development

Pears are popular among consumers for their juicy and delicious taste. In this study, the sugar and organic acid compositions of pear fruits with different texture types during development were determined by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS), and fruit texture traits were determined by a texture analyzer. The results showed that the dominant sugar in soft and crispy types of pear fruits was fructose. The main difference between pears was the second-highest sugar component; glucose content was higher in crispy-flesh pear fruits while sucrose content was higher in soft-flesh pear fruits. The composition of organic acid components in both texture types of pear fruits was similar. The turning points of changes in the content of sucrose, sorbitol, glucose and quinic acid were different between different-textured pear varieties. A Pearson correlation analysis showed that sugar and organic acid components were significantly correlated with single fruit weight and soluble solid contents (SSCs), respectively. There was a high correlation among texture traits, individual sugars and organic acids. A partial least squares discriminant analysis (PLS-DA) VIP score plot showed that the differential traits with scores greater than 1 were total soluble sugars/total organic acids (TSSs/TAs), fracture and malic acid/citric acid (MA/CA), which could distinguish pear fruits of different texture types better and reflect the uneven quality differences among pear fruits adapted to different origins. The comprehensive analysis results of the flesh texture parameters and sugar and organic acid components are in line with objective reality and will provide a reference for quantitative indicators of the sensory evaluation of pear varieties as well as for molecular mechanism research on trait differences.

Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control.

This study proposes a novel Hybrid Metaheuristic with explicit diversity control, aimed at finding an optimal feature subset by thoroughly exploring the search space to prevent premature convergence. Background/Objectives: Unlike traditional evolutionary computing techniques, which only consider the best individuals in a population, the proposed strategy also considers the worst individuals under certain conditions. In consequence, feature selection frequencies tend to be more uniform, decreasing the probability of premature convergent results and local-optima solutions. Methods: An image database containing 608 images, evenly balanced between positive and negative coronary stenosis cases, was used for experiments. A total of 473 features, including intensity, texture, and morphological types, were extracted from the image bank. A Support Vector Machine was employed to classify positive and negative stenosis cases, with Accuracy and the Jaccard Coefficient used as performance metrics. Results: The proposed strategy achieved a classification rate of 0.92 for Accuracy and 0.85 for the Jaccard Coefficient, obtaining a subset of 16 features, which represents a discrimination rate of 0.97 from the 473 initial features. Conclusions: The Hybrid Metaheuristic with explicit diversity control improved the classification performance of coronary stenosis cases compared to previous literature. Based on the achieved results, the identified feature subset demonstrates potential for use in clinical practice, particularly in decision-support information systems.

Microstructure and hot deformation behavior of Cu–Ti–Zr(-Mg) alloys

In this study, the thermal deformation behavior of Cu–Ti–Zr(-Mg) alloys were investigated by Gleeble-1500D. The two alloys were deformed at 700–900 °C with 0.003–10 s−1 strain rate. The intrinsic equations of the two alloys were constructed and calculated thermal activation energies, which indicates that it is improved from 325.67 kJ/mol to 344.03 kJ/mol after Mg addition. The result showed that the hot working area of Cu–Ti–Zr alloy is greatly extended after Mg addition, and rheological instability area is reduced. The morphology of the alloys was observed to analyze thermal behavior. It revealed that Mg elements inhibited the occurrence of dynamic recrystallization and shifted the texture types in the alloys by characterization of EBSD. TEM results showed that the phases during hot deformation in Cu–Ti–Zr–Mg are Cu4Ti and Cu10Zr7, which are in a semi-coherent relationship with the Cu matrix.

Study on Several Genus of The Solanaceae Family with Phenetic Approach Methods

This study aimed to determine the morphological diversity of several genera from the Solanaceae family through a morphological approach, and the morphological characters that influence their grouping. The sampling activity is located in Lumajang district. The plant parts studied consisted of 30 characters including stature, stems, leaves and flowers which were then analyzed descriptively and phenetically. Based on the results of the descriptive analysis, it was found that there was a diversity of morphological characteristics between several genera of the Solanaceae family, namely the Solanum, Capsicum, Physalis, Datura, Nicotiana, and Petunia genera. Based on the analysis used the phenetic method in the SPSS program, a dendrogram was produced showing two groups, namely the genus Nicotiana and Petunia and the other groups Solanum, Capsicum, Datura, and Physalis. Then it grouped again and separated and finally got the species. Based on the results of PCA (Principal Component Analysis), the characters that influence the grouping of several genera from the Solanaceae family include phyllotaxis characters, leaf margins, leaf width, leaf length, leaf texture, anther color, and flower type. The result implications a morphological character can be used for plant identification.

Hydrophobic surface texture air-liquid phase composite assisted laser processing and tribological properties

In order to improve the surface hydrophobicity and tribological properties of 304 stainless steel, this study used laser processing technology to prepare three types of surface textures (CSA, CM2, CM5) in an air and air–liquid composite environment. By testing the surface quality, wettability and tribological properties of the texture, it was found that the surface quality and interfacial friction control ability of CSA were poor due to the influence of the processing environment. However, due to the air–liquid composite assisted laser preparation, while using the air medium laser processing technology to ensure the texture depth, the scattering effect of bubbles and the influence of negative pressure on the solid–liquid interface during the liquid phase assisted laser processing remove the oxide recast layer and burr on the surface of the sample, and improve the surface quality of the texture, thereby improving the surface friction behavior of the sample. This study promotes the development of surface texture laser processing technology and broadens the application field of 304 stainless steel.

Understanding consumer perception of a new product including apple pomace: The role of health, sustainability, and culinary engagement

The aim of the present study was to determine perception of a new product made with apple pomace including consumers from three different gastronomy cultures: Spain (Mediterranean), Poland (Central Europe), and Denmark (Nordic). The new product was mainly made from potato and apple pomace and had the typical texture of a savory snack (crisp-like), but it was characterized by its apple/sweet taste. Besides consumers from the aforementioned countries, a group of Foodies-consumers from 20 different nationalities participated in the study to determine potential differences on the product perception due to their high culinary knowledge/ingredients exposure. Over 600 consumers participated in the study. To segments consumers into different groups beyond nationality, the demographic questionnaire included the short version of the Food Choice Questionnaire, the Food Neophobia Scale, and questions on Dietary and Sustainability related habits. The hedonic response, as well as the intrinsic properties of the product (sweetness, sourness, saltiness, apple flavor, hardness, and crunchiness) were measured using Just-About-Right scales. Additional questions included assessment on the storytelling of the product, potential applications/consumption moments, and finally, the impact of adding a health (high in fiber) or a sustainable (made using by-products) claim. Analysis revealed variations in demographics across consumer groups, potentially influencing their perception of the new product. Including the question on applications/consumption moments of the new food, as well as gathering free words about the main aspects consumers valued about the food, were useful to better understand its potential in the market and design a proper communication strategy.