Texture Dimensions Research Articles

Plant-based mince texture: A review of the sensory literature with view to informing new product development.

The texture of plant-based meat alternatives is a sensory attribute that holds a central value in consumer acceptability. The texture dimensions and drivers of liking for plant-based mince, a popular product within plant-based meats, are not yet fully established and literature in this area is limited. Consequently, the successful development and positioning of such products in the market next to traditional proteins is compromised, and improved product development guidelines are needed for the industry. This review aims to inform product development of what is currently known about plant-based mince texture and where the research gaps are, particularly with respect to sensory dimensions and drivers of liking, by reviewing the present landscape of relevant sensory literature. Potential texture sensory dimensions for plant-based mince, based on limited studies and seemingly aligning with conventional mince, are posited as juiciness, tenderness, firmness, and/or softness with a key driver of liking being juiciness, but this requires further validation utilizing robust sensory studies. A significant need exists to expand on the currently known texture dimensions and drivers alongside new ways that texture can be improved upon to more closely align to, or exceed, consumer expectations. Once this has been achieved, a robust sensory framework for developing plant-based mince products can be used to better position plant-based mince to effectively compete with traditional mince, and not merely cannibalize upon other brands, in the current market.

Curve smoothening for the analysis of fractal dimensions of blast-cleaned steel surface textures for tribological and adhesion interfaces

Abstract Fractal dimensions are increasingly used for the characterization of surface textures for tribological and adhesion applications. The resolution of 2D profiles acquired from various measurement methods can be adjusted via curve smoothing. It is still unclear whether curve smoothing would notably affect the estimated fractal dimensions. In this communication, 2D profiles of twelve blast-cleaned surface settings were derived by means of a data manipulation software, including a curve smoothing procedure. The fractal dimensions were estimated, and Design of Experiments was applied to analyze the relationships. Factors included abrasive type, preparation grade, roughness, and curve smoothing. Analysis of Variance indicated that the contribution of curve smoothing to the regression model was as low as 1.0%. Therefore, for blast-cleaned substrates, curve smoothing effects can be neglected with respect to the contributions of roughness and abrasive type, when estimating the fractal dimensions.

Characterisation of a novel sustainable wood-geopolymer masonry units

Masonry units have been fundamental to building construction for over 6000 years, making them one of the oldest and most widely used materials in the industry. However, their production using ordinary Portland cement has significant environmental impacts, including high carbon dioxide emissions and depletion of natural resources. This highlights the need for more sustainable alternatives. One promising option is the use of recycled aggregates from construction and demolition waste in masonry unit manufacturing. This paper investigates the use of chipped waste timber as aggregates, bound together with geopolymer cement made from industrial by-products such as fly ash and slag. The result is a new type of masonry units, referred to as wood geopolymer masonry units (WGMUs), which were evaluated against established standards and compared with conventional masonry units (CMUs). The innovative WGMUs demonstrated improved ductility and reduced density compared to CMUs, making them easier to handle and lighter in construction. They also have a distinctive, rustic texture and consistent dimensions that meet Australian standards. Although WGMUs exhibited higher water absorption and drying contraction due to their wood content, these characteristics generally remain within acceptable limits, supporting their potential as eco-friendly construction materials.

Laser-induced protruded bioinspired texturing of Ti-6Al-4V for controlled wettability in biomedical application

Bioinspired protruded textures with variable surface morphology and characteristics are getting worldwide popularity due to their wider applications. Among them controlled wettability for different materials through bioinspired textures is very essential to reduce the adhesion, bacterial contamination and growth, and drug delivery application. Even, identification and efficient fabrication of favorable bioinspired protrusions with optimum parameters are comparatively complex from normal textures through any material processing methods due to their complex shapes, form accuracy and dimensions. Therefore, this work targets the fabrication of four different types of protruded bioinspired textures namely, fish scale, protruded square, protruded circular, Python scale (snake) textured surface on biomedical grade Ti-6Al-4V titanium alloy for controlling the wettability using femtosecond laser surface texturing (LST). The optimum process parameters for the machining of Ti-6Al-4V were set as a temporal width of 350 fs, output power of 5.5 W, wavelength of 1030 nm, scanning speed of 100 mm/s and pulse rate of 500 KHz and three repetitions for all the texture types. To examine the effect of texture type, perimeter of all the fabricated textures was kept constant. Further, effect of varying perimeters was also analyzed for perimeter ranges from 300 to 500 µm. Surface morphology and characteristics were also analyzed for the measurement of texture consistency, dimensions and composition which was also related to the wettability results examined by static contact angle of the sessile drop method. Wetting of fish scale texture is decreased with increasing perimeter whereas of all other textures, wettability is going to be improved significantly.

Texture perception at the foot sole: comparison between walking, sitting, and to the hand.

We frequently interact with textured surfaces with both our feet and hands. Like texture's importance for grasping, texture perception via the foot sole might provide important signals about the stability of a surface, aiding in maintaining balance. However, how textures are perceived by the foot, and especially under the high forces experienced during walking, is unknown. The current study builds on extensive research investigating texture perception at the hand by presenting everyday textures to the foot while stepping onto them, exploring them with the foot while sitting, and exploring them with the hand. Participants rated each texture along three perceptual dimensions: roughness, hardness, and stickiness. Participants also rated how stable their posture felt when standing upon each texture. Results show that perceptual ratings of each textural dimension were highly correlated across conditions. Hardness exhibited the greatest consistency and stickiness the weakest. Moreover, correlations between stepping and exploration with the foot were lower than those between exploration with the foot and exploration with the hand, suggesting that mode of interaction (high vs. low force) impacts perception more than body region used (foot vs. hand). On an individual level, correlations between conditions were higher than those between participants, suggesting that differences are greater between individuals than between mode of interaction or body region. When investigating the relationship to perceived stability, only hardness contributed significantly, with harder surfaces rated as more stable. Overall, tactile perception appears consistent across body regions and interaction modes, although differences in perception are greater during walking.NEW & NOTEWORTHY We frequently interact with textured surfaces using our feet, but little is known about how textures on the foot sole are perceived as compared with the hand. Here, we show that roughness, hardness, and stickiness ratings are broadly consistent when stepping on textures, exploring them with the foot sole, or with the hand. Hardness also contributes to perceived stability.

AI-assisted prediction of St14 steel sheets formability: Neural-fuzzy systems and crystal plasticity assessments

We've introduced a new technique leveraging artificial intelligence to determine in-plane forming limit strains in St14 sheet metals. A neural-fuzzy AI system was devised to predict safe points on forming limit diagrams, considering aspects like crystal texture, metal sheet thickness, and spherical punch diameter. Neural-fuzzy systems could be utilized in prediction of forming limit curves using linguistic data description. To obtain the data required for training the AI network, in-depth tests, including XRD, metallography, tensile testing, and Nakazima's hemisphere evaluations, were carried out to detail the metallurgical and mechanical properties of St14 sheet metal. Data on texture, the tensile curves, and grain morphology were then incorporated in crystal plasticity models to find hardening constants for St14's single crystals. Using these determined values, Nakazima's tests were replicated through multi-crystal aggregate configurations. We then undertook a comprehensive parameter investigation via 324 crystal plasticity simulations to shed light on the effects of texture, sheet depth, and punch dimensions on St14's formability. This rich dataset paved the way for training an adaptive neural fuzzy inference system (ANFIS), leading to substantial reductions in time and computational needs. The results validate that the ANFIS model offers accurate and reliable predictions, highlighting its viability for wider use in determining forming limit diagrams.

Can the analysis of chromatin texture and nuclear fractal dimensions serve as effective means to distinguish non-invasive follicular thyroid neoplasm with papillary-like nuclear features from other malignancies with follicular pattern in the thyroid?: a study

ABSTRACT Objective Thyroid carcinoma ranks as the 9th most prevalent global cancer, accounting for 586,202 cases and 43,636 deaths in 2020. Computerized image analysis, utilizing artificial intelligence algorithms, emerges as a potential tool for tumor evaluation. Aim This study aims to assess and compare chromatin textural characteristics and nuclear dimensions in follicular neoplasms through gray-level co-occurrence matrix (GLCM), fractal, and morphometric analysis. Method A retrospective cross-sectional study involving 115 thyroid malignancies, specifically 49 papillary thyroid carcinomas with follicular morphology, was conducted from July 2021 to July 2023. Ethical approval was obtained, and histopathological examination, along with image analysis, was performed using ImageJ software. Results A statistically significant difference was observed in contrast (2.426 (1.774–3.412) vs 2.664 (1.963–3.610), p = .002), correlation (1.202 (1.071–1.298) vs 0.892 (0.833–0.946), p = .01), and ASM (0.071 (0.090–0.131) vs 0.044 (0.019–0.102), p = .036) between NIFTP and IFVPTC. However, morphometric parameters did not yield statistically significant differences among histological variants Conclusion Computerized image analysis, though promising in subtype discrimination, requires further refinement and integration with traditional diagnostic parameters. The study suggests potential applications in scenarios where conventional histopathological assessment faces limitations due to limited tissue availability. Despite limitations such as a small sample size and a retrospective design, the findings contribute to understanding thyroid carcinoma characteristics and underscore the need for comprehensive evaluations integrating various diagnostic modalities.

Oleogels as a Promising Alternative to Animal Fat in Saturated Fat-Reduced Meat Products: A Review.

The surge in chronic diseases is closely linked to heightened levels of saturated and trans fatty acids in processed foods, particularly meat products. Addressing this concern, various strategies have been employed to alleviate the impact of these detrimental fats. Among these, oleogels have emerged as a novel and promising approach in the food industry. As restructured fat systems, oleogels offer a unique opportunity to enhance the nutritional profile of meat products while providing distinct health and environmental advantages. This comprehensive review explores the transformative role of oleogels as innovative substitutes for traditional animal fats in a variety of meat products. Utilizing materials such as hydroxypropyl methylcellulose (HPMC), sterols, beeswax, γ-oryzanol, β-sitosterol, and others, oleogels have been investigated in diverse studies. The examination encompasses their impact on the textural, nutritional, and oxidative dimensions of meat patties, pork patties, pork liver pâtés, beef heart patties, and meat batters. An in-depth exploration is undertaken into the influence of various elements, including the type of oil, gelling agents, and processing methods, on the stability and physicochemical attributes of oleogels. Additionally, the paper scrutinizes the potential effects of oleogels on sensory attributes, texture, and the shelf life of meat products. In conclusion, this collective body of research emphasizes the versatility and efficacy of oleogels as viable replacements for traditional animal fats across a spectrum of meat products. The documented improvements in nutritional quality, oxidative stability, and sensory attributes pave the way for the development of healthier and more sustainable formulations in the meat industry.

PKD‐Net: Distillation of prior knowledge for image completion by multi‐level semantic attention

SummaryPrior knowledge plays a crucial role in image completion. Although almost all of the existing image completion methods use prior knowledge to complete the image to be repaired from different perspectives, the learning and modeling of the prior knowledge is still a challenging problem. In order to address this issue, we propose a novel prior knowledge distillation framework (PKD‐Net) which could distill prior knowledge of structure and style from multiple semantic space and generates not only plausible content but also consistent style with surrounding image area. Our PKD‐Net replaces the skip connection in the vanilla U‐Net with a semantic shift attention module. The semantic shift attention module takes features from encoder layer and those from decoder layer as input pairs to output shifted features which take into account the long‐range dependency of encoder layer features and corresponding decoder layer features from the perspective of local structure and style. Semantic shift attention module models the global interdependencies in local spatial structures (patches centered at each position) and style (appearance texture) dimensions respectively, which could implement distillation of prior knowledge from two aspects: structure and style. Experiments on multiple datasets including faces (CelebA, CelebA‐HQ) and natural images (ImageNet, Places2, Paris Street View) demonstrate that our proposed approach generates higher quality completion results than existing ones.

Influence of solution heating rate on grain structures and fatigue crack propagation behaviors of an aviation Al-Li alloy sheet

In this study, the effects of grain structure on the fatigue crack propagation (FCP) behaviors in the aviation Al-Li alloy sheets prepared by varying solution heating rates are discussed systematically. The results reveal that both the intensity of Goss texture and grain dimensions are improved with the decreased solution heating rates. Upon an identical stress intensity factor range (ΔK), the increased Goss texture of the sample with a solution heating rate of 2 ℃/min (2HR) promotes crack deflection, causing a decrease in FCP rates compared to that of the sample with a solution heating rate of about 100 ℃/min (FHR). The dislocations clustered near grain boundaries are more significant with increasing grain size during cyclic loading, which intensifies the strain localization. The accumulation of dislocations increases the possibility of micro-voids formation and creates the conditions for crack deflection, which results in a decrease in FCP rate. Besides, based on the calculation of the reversible plastic zone (RPZ) size, the initial ΔK entering the rapid propagation region increases with decreasing solution heating rates and exhibits a strong linear relationship with grain size.

Effect of lubricant infiltration into the groove-like surface texture on the friction response of the textured stainless-steel contact surface

Surface texturing is recognized as an effective solution for reducing friction on stainless-steel contact interfaces. Previous studies mainly focused on the influence of the texture parameters and lubricant-film depths on their tribology performances. Notably, whether the lubricant can penetrate texture and the lubricant infiltration capacity may significantly affect the tribology performances of the contact interfaces. They have been rarely considered, which may cause some well-designed textures to fail to perform their roles and be abandoned. Herein, a novel lubricant model is developed to explore the tribology performances of the contact interfaces with different lubricant infiltration capacities in textures and the influence factors of the lubricant infiltration capacities. Textured surfaces with different dimensions are fabricated by the femtosecond laser to explore the effects of the texture dimensions on the lubricant infiltration capacities. The results indicate that texture width, depth and lubricant viscosity could significantly affect the lubricant infiltration capacities. Moreover, the results indicate that the lubricant infiltration capacity would significantly affect the tribology performances of the contact interfaces. This work indicates that the impact of the lubricant infiltration should be considered in texture design. This work can be widely used to guide the texture design applied in plenty of fields.

Effect of Al Polishing Conditions on the Growth and Morphology of Porous Anodic Alumina Films.

The conditions applied during the electrochemical polishing of aluminum were found to be important parameters for the successive formation of nanoporous alumina films. First, a high-purity Al foil was electrochemically polished in an aqueous solution containing C2H5OH and HClO4 at various sets of conditions, such as applied potential (5-35 V), temperature (0-20 °C), and process duration (10-180 s). Extensive studies of the topography of Al after polishing by scanning electron microscopy and atomic force microscopy allow verification of the correlations between conditions applied during the substrate pretreatment and dimensions of the nanopatterns generated on the metal surface. Next, Al polished samples at two different sets of conditions were used as starting materials for anodization. Unpolished Al samples were also anodized for reference. It was confirmed that electropolishing conditions do not significantly affect the oxide growth rate during anodization and the efficiency of anodic film formation. On the contrary, it was proved that the dimensions of the surface texture formed during Al polishing significantly affect the morphology and pore order within the anodic film. Therefore, it can be stated that it is possible to tune to some extent the arrangement of nanochannels within anodic aluminum oxide films by simply changing conditions during the electropolishing procedure..

A narrow band of image dimensions is critical for face recognition

A key challenge in human and computer face recognition is to differentiate information that is diagnostic for identity from other sources of image variation. Here, we used a combined computational and behavioural approach to reveal critical image dimensions for face recognition. Behavioural data were collected using a sorting and matching task with unfamiliar faces and a recognition task with familiar faces. Principal components analysis was used to reveal the dimensions across which the shape and texture of faces in these tasks varied. We then asked which image dimensions were able to predict behavioural performance across these tasks. We found that the ability to predict behavioural responses in the unfamiliar face tasks increased when the early PCA dimensions (i.e. those accounting for most variance) of shape and texture were removed from the analysis. Image similarity also predicted the output of a computer model of face recognition, but again only when the early image dimensions were removed from the analysis. Finally, we found that recognition of familiar faces increased when the early image dimensions were removed, decreased when intermediate dimensions were removed, but then returned to baseline recognition when only later dimensions were removed. Together, these findings suggest that early image dimensions reflect ambient changes, such as changes in viewpoint or lighting, that do not contribute to face recognition. However, there is a narrow band of image dimensions for shape and texture that are critical for the recognition of identity in humans and computer models of face recognition.

A do-it-yourself approach for developing a magnetic field mapping setup using a 3D printer

The mapping of magnetic fields is an important task for characterizing permanent magnets, their systems, and the various devices that use magnets. However, commercial devices for this task are quite expensive and difficult to acquire. In this study, a design process for an automatized magnetic mapping setup utilizing a 3D printer was proposed via a do-it-yourself approach using common parts found in a laboratory. We used a 3D printer for two purposes: to create instrument parts to fix the Hall probe instead of the printer extruder, and to use the same 3D printer as the position controller of the magnetic probe. We describe the device assembly process, including hardware and software aspects. Several tests of the assembled setup were performed on samples with different magnetic texture dimensions from several centimeters (graduated permanent magnet) to tens of micrometers (flexible magnet with a planar Halbach structure and a 5¼ inch floppy disk). The spatial resolution was in the sub-millimeter range. The parameters of the mapping, such as the number of points and data acquisition time, were optimized for such samples.

Dimensions of food texture: A conceptual discussion.

Food texture is a collective term for all texture-related features of a food product. A comprehensive description of food texture is therefore practically challenging due to too many parameters that are associated simultaneously with the food. Using every day, non-technical (layman's) language, we attempt in this work to rationalize the different dimensions that contribute to the texture of foods, and we explain the rheological reasons behind the concept. For solid foods, three dimensions are identified being the "hard-soft," "strong-weak," and "brittle-plastic." For liquid foods, three further dimensions are suggested, being "elastic-viscous," "thick-thin," and "shear thinning-shear thickening." As these dimensions are bipolar, for foods where any of the dimensions are not relevant, we conceive that dimension takes on a zero value, aligning at the center of the scale.

Improvement of mild photoaged facial skin in middle-aged Chinese females by a supramolecular retinol plus acetyl hexapeptide-1 containing essence.

The anti-ageing gold standard, retinol, has been widely recognized for its anti-wrinkle benefits in the Chinese population. Studies have shown that Asians are more sensitive to retinol compared to their Caucasian counterparts, and it is generally recommended to use retinol once a day in the evening. However, there are few reports on the most appropriate concentration and frequency of retinol use in the general Chinese population. In this study, supramolecular retinol was prepared using cyclodextrin encapsulation technology, and the most appropriate concentration for the general Chinese population was investigated. Then, a cosmetic essence was developed by combining the classic supramolecular retinol, which promotes collagen regeneration, with acetyl hexapeptide-1, a popular ingredient known for reducing expression lines. The safety and efficacy of this cosmetic essence were studied through clinical tests. First, a patch test was conducted on 32 healthy Chinese subjects to compare the tolerance of supramolecular retinol to non-encapsulated retinol and to select the optimal concentration of retinol. Then, an 8-week clinical study was conducted using a twice-daily cosmetic essence containing 0.1% supramolecular retinol and 0.02% acetyl hexapeptide-1 to treat mild photoaging in 32 middle-aged Chinese women. Dermatological evaluations and instrument measurements were taken at baseline, 4weeks, and 8weeks. Efficacy was assessed using facial skin wrinkles, textures, elasticity, firmness, pores, gloss and stratum corneum hydration. Tolerability was assessed throughout the study. Our patch test results showed that supramolecular retinol was better tolerated than non-encapsulated retinol, and our findings suggest that 0.1% was the approximate optimal retinol concentration for the general Chinese population. The cosmetic essence studied was effective in improving the appearance of photoaged skin in the Chinese population in all aspects studied and was well tolerated. 0.1% retinol is suitable for twice daily use in the general Chinese population. Data and records on efficacy dimensions of skin textures, elasticity, firmness, pores, gloss and stratum corneum hydration for retinol in the Chinese population are supplemented with our study. Cosmeceutical approaches targeting both static and dynamic wrinkles are of value for treating the photoaged Chinese population.

Laser texturing of piston ring for tribological performance improvement

The radial surface coating layer of compression piston rings is used to improve their wear resistance during the internal combustion engine operation. However, at top dead centers, the friction coefficient of the piston ring-cylinder liner pair is detrimental to the engine’s tribological performance. In this work, dimples with different texture dimensions and densities were tested in a home-developed tribometer. The friction coefficient was measured for all samples, and for those with the best results, their wear resistance was assessed. The texture with an aspect ratio of 0.25 and a density area of 15% reported the best tribological results.

Effects of wood texture and color on aesthetic pleasure: two experimental studies

The texture and color on wood are key factors that influence an individual's perception of it. However, little research has been done to confirm what kind of pattern in textures and colors are more likely to evoke individual aesthetic pleasure. Therefore, twenty-four decorative wood from northern China were selected, identified, and quantified in their colors with a CR-5 Colorimeter. We picked out eight kinds of wood with optimal texture characteristics through feature-fusion wood grain recognition (FWGR) and enhanced the texture features with photoshop in VR space. The result show that, in the color dimension, woods in the hue range of 20-25 and saturation of 65-75 were considered beautiful for individual perception of aesthetic. In the texture dimension, the size of the space affects the individual's preference for texture. When the pattern of the wood ray is continuous and clear, the individual's perception of its fluidity is enhanced; while for the fuzzy and interrupted pattern of the wood ray, the individual does not follow the fluidity of the line but focuses on the overall uniformity.

Design, manufacturing, and testing of a laser textured piston ring surface reinforced with a CuCoBe–diamond composite by hot-pressing

A CuCoBe–diamond composite was used to reinforce a laser textured 410 stainless steel piston ring by hot-pressing. Different hot-pressing parameters were used to optimize the sintering process of the CuCoBe particles (P = 25 and 50 MPa, T = 820 and 980 °C, and t = 15 and 30 min). The results showed an increase in the hardness of the hot-pressed samples (50.5% and 48.5% for P = 25 and 50 MPa, respectively). Three textures with different track widths and distances between them were produced by laser on the compression piston rings’ surface. The composite powders were used for the reinforcement of the textures by hot-pressing at the optimized sintering parameters (T = 980 °C, P = 25 and 50 MPa, and t = 15 min). The tribological results revealed that larger texture dimensions led to enhanced tribological performance.

Friction Reduction by Dimple Type Textured Cylinder Liners-An Experimental Investigation.

Applying texture to a surface in a tribological interface will influence frictional performance, which has been investigated in several previous studies. However, since varying operating conditions heavily affect the frictional performance and optimum texture dimensions, more work in this field is required. There are few experimental studies concerning the influence of texture on friction especially under sliding lubricated conditions and even fewer at high sliding speeds. In this work, the effect of texture on frictional losses between the piston ring and cylinder liner is studied experimentally. The texture is of the dimple type, with a diameter and depth of 300 µm and 3 µm, respectively, applied to the cylinder liner surface. Experiments are performed with sliding speeds close to real piston sliding speeds. A clear reduction in frictional losses is observed with the textured cylinder liner. Moreover, qualitatively comparing the experimental results to a numerical model shows a good correlation.