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We report an enhanced versatility in constructing DNA–protein hybrid nanostructures using histone–DNA complexes (HDs). By leveraging HDs, we demonstrate precise and scalable assembly of DNA origami tiles and a 2D triangular nanostructure. Our results extend the potential applications of DNA nanotechnology from the nanoscale to the microscale without the need for complex pre-designs. [ABSTRACT FROM AUTHOR]

Floor‐tiling robotics are increasingly employed in on‐site building constructions owing to their remarkable benefits on rising working efficiency and reducing labor costs. In this study, a fluid–structure interaction (FSI) model of robotic tiling was established for the first time, construction parameters and adhesive properties were modified, and their influences on the quality of robotic floor‐tiling were systematically investigated by tracking the mechanical behaviors of tiles and adhesive during tiling and the interfacial defects after tiling. Results indicated that the established FSI model was feasible for assessing robotic tiling quality with a deviation of less than 2%. The adhesive extruded horizontally was evenly distributed in cylindrical strips. An increase in the number of extrusion pipes slightly improved the tiling quality. Compared with the leveling loads of compression and vertical vibration, shear vibration could effectively eliminate tile rebounding and enlarge the contact area of tile–adhesive by up to 135.85%. Moderate increases in the amplitude and frequency of shear vibration resulted in lower rebounding and larger contact areas. An appropriate increase of yield stress heightened tiling quality by keeping the extrusive appearance of the adhesive, increasing slightly tile rebounding and enlarging the contact area of tile–adhesive to 0.625 m2. As yield stress was excessively high, tremendous elastic deformations of adhesive led to remarkable tile rebounding and small contact areas of 0.375 m2. [ABSTRACT FROM AUTHOR]

Traditional porcelain tiles often lack self-cleaning properties and suffer from aesthetic limitations. This study presents a novel approach for fabricating superhydrophobic, self-cleaning porcelain tiles with enhanced visual appeal. We strategically combined SiO2 and ZnO nanolayers with an antifouling material, applied via spray and drop coating methods. Characterizations (FE-SEM, FTIR, contact angle, UV-Vis, colorimetry, roughness, illuminance, and stain resistance) confirmed the effectiveness of our approach. Heat treatment of the antifouling coating (400 °C) significantly increased hydrophobicity (WCA=119°). SiO2 and ZnO intermediate layers enhanced water repellency, achieving 154° and 149° water contact angles, respectively. This demonstrates superhydrophobicity, in line with Cassie-Baxter's model, and mimics the lotus leaf's self-cleaning mechanism. Low surface energy, likely due to antifouling nanoparticle bonds, contributes to water repellency with roll-off angles of 6° and 7° and causes anti-stain properties on the tile surface. Importantly, these layers optimize surface roughness, boosting hydrophobicity and improving the whiteness and brightness of polished tiles. Surface roughness values of 308 nm (SiO2) and 158 nm (ZnO), along with superior whiteness values (116.4 and 106, respectively), were observed, exceeding surfaces without intermediate layers (57.5). Rayleigh scattering theory explains the whiteness enhancement. Stain resistance significantly improved with intermediate layers, while surface gloss remained unchanged. This research demonstrates the potential of our coating approach to create highly functional and visually appealing polished tiles for diverse industrial applications. [ABSTRACT FROM AUTHOR]

The Central Plains of China have a long history of using glazed tiles on high‐level architectural structures. This architectural practice also had a profound impact on ancient Tibet. This study selected glazed tiles belonging to the Tubo period (7th–9th centuries CE), unearthed from the Wenjiangduo site, Lhasa city, Tibet Autonomous Region, China. A series of scientific analyses are presented, including X‐ray fluorescence, optical microscopy, scanning electron microscopy–energy‐dispersive spectrometry, X‐ray diffraction, dilatometry, and multicollector inductively coupled plasma mass spectrometry. The results reveal SiO2–Na2O, SiO2–PbO, SiO2–Na2O–PbO, and SiO2–CaO–Na2O systems in the glazes. The bodies can be divided into two categories: calcareous and noncalcareous. The original firing temperatures were likely between 900°C and 1000°C. The lead isotopes indicate that the provenance of lead material for glaze was in Tibet. The comparisons of glazing techniques reveal influences from the Central Plains of China and South and Southeast Asia, and provide new insights into the cultural interaction between Tibet and its surrounding regions in the Tubo period. [ABSTRACT FROM AUTHOR]

A thermal protection system is critical for ensuring the safe take-off and return of various aircraft. A key heat-resistant material within this system is the ceramic fiber insulation tile (CFIT), which is a porous three-dimensional network material with density ranges from 0.3 to 0.4 g/cm3 that exhibits complex mechanical behaviors. Due to the complexity of the service environment, experimental methods cannot accurately capture the mechanical behavior of a CFIT. Although simulation-based methods can provide insights, an accurate constitutive model for CFITs has yet to be established. To predict its complex mechanical behavior, an elastic–plastic damage constitutive model was established for CFITs. Based on the Hashin criteria and four fundamental assumptions, a yield rule was modified by introducing a damage factor in the TTT direction. The model was encoded into a user–material subroutine (UAMT) integrated within ABAQUS to capture the mechanical responses under four typical working conditions. The change trend of the simulation curve closely aligned with that of the experiment curve, better characterizing the stress–strain relationship of the CFIT under different working conditions such as compression, tension, and shear and the error was less than 18%. The proposed approach was validated by designing a millimeter-level indentation experiment. The results in this paper demonstrate that the maximum loading depths of the simulation and experiment were consistent, and the relative errors were within 12%, respectively. The research provides a reliable elastic–plastic damage constitutive model to predict the mechanical behavior of CFITs under complex working conditions. [ABSTRACT FROM AUTHOR]

Research on new uses for olive byproducts, especially the pomace generated during oil production, is crucial for both the economy and the environment in communities where this tree is cultivated. In Chile, olive oil production generates pomace, which is considered waste. In this study, reusing the pomace to manufacture an interior parquet flooring is proposed. A mixture of pomace was molded into tiles measuring 25 x 10 x 2 cm, and rapid drying was observed. Before hardening in a controlled laboratory environment, the tiles were characterized, resulting in a density of 0.842 g/cm³, and shrinkage of 8.4% ±0.5%. The prototype could be nailed, but it chipped like commercial particleboards; it also exhibited good firmness but limited resistance to drilling and screwing. The material can be sawed, adequately resisting the saw, and can support more than 150 kg of weight, demonstrating good structural strength. The pomace tiles showed suitable hardness while maintaining their nailability and screwability properties. This parquet prototype could be a valuable alternative for valorizing the potential use of pomace, contributing to the circular economy in the region and olive-growing areas. [ABSTRACT FROM AUTHOR]

The article "A Sticker Album for Tilers (Collector's Edition)" published in the Mathematical Intelligencer discusses recent breakthroughs in the field of tilings, particularly the discovery of an aperiodic prototile that solved the einstein problem. The text explores various aspects of tiling, including the Heesch number, isohedral number, m-morphic figures, and σ-morphic figures, posing open questions related to these concepts. The authors present visual representations and challenges related to these tiling problems, inviting further exploration and research in the field. [Extracted from the article]

In this paper, we investigate shape-assembling power of a tile-based model of self-assembly called the Signal-Passing Tile Assembly Model (STAM). In this model, the glues that bind tiles together can be turned on and off by the binding actions of other glues via "signals". Specifically, the problem we investigate is "shape replication" wherein, given a set of input assemblies of arbitrary shape, a system must construct an arbitrary number of assemblies with the same shapes and, with the exception of size-bounded junk assemblies that result from the process, no others. We provide the first fully universal shape replication result, namely a single tile set capable of performing shape replication on arbitrary sets of any 3-dimensional shapes without requiring any scaling or pre-encoded information in the input assemblies. Our result requires the input assemblies to be composed of signal-passing tiles whose glues can be deactivated to allow deconstruction of those assemblies, which we also prove is necessary by showing that there are shapes whose geometry cannot be replicated without deconstruction. Additionally, we modularize our construction to create systems capable of creating binary encodings of arbitrary shapes, and building arbitrary shapes from their encodings. Because the STAM is capable of universal computation, this then allows for arbitrary programs to be run within an STAM system, using the shape encodings as input, so that any computable transformation can be performed on the shapes. This is the full version, containing all construction and proof details, of a previously published extended abstract version that had most details omitted. [ABSTRACT FROM AUTHOR]

Introduction. The identification of mitotic figures is essential for the diagnosis, grading, and classification of various different tumors. Despite its importance, there is a paucity of literature reporting the consistency in interpreting mitotic figures among pathologists. This study leverages publicly accessible datasets and social media to recruit an international group of pathologists to score an image database of more than 1000 mitotic figures collectively. Materials and Methods. Pathologists were instructed to randomly select a digital slide from The Cancer Genome Atlas (TCGA) datasets and annotate 10-20 mitotic figures within a 2 mm2 area. The first 1010 submitted mitotic figures were used to create an image dataset, with each figure transformed into an individual tile at 40x magnification. The dataset was redistributed to all pathologists to review and determine whether each tile constituted a mitotic figure. Results. Overall pathologists had a median agreement rate of 80.2% (range 42.0%-95.7%). Individual mitotic figure tiles had a median agreement rate of 87.1% and a fair inter-rater agreement across all tiles (kappa = 0.284). Mitotic figures in prometaphase had lower percentage agreement rates compared to other phases of mitosis. Conclusion. This dataset stands as the largest international consensus study for mitotic figures to date and can be utilized as a training set for future studies. The agreement range reflects a spectrum of criteria that pathologists use to decide what constitutes a mitotic figure, which may have potential implications in tumor diagnostics and clinical management. [ABSTRACT FROM AUTHOR]

Copyright of Archaeologiai Értesítő is the property of Akademiai Kiado and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Modern topographical research in and around the legionary fortress of Brigetio (Komárom/Szőny, Hungary) started in the 1920s motivated by the desire to stop the centuries-long archaeological lootings at the site and to prevent further loss of archaeological data caused by the uncontrolled removal and selling of artefacts. The excavations led by István Paulovics between 1927 and 1929 touched upon the northern surrounding wall of the castra , a short section of the via decumana south of the fortress and parts of the late Roman cemeteries southeast of the fortress. During the excavation 67 stamped bricks and tiles were collected and taken to the Hungarian National Museum. Forty-five of them were mentioned in the 1933 brick stamp corpus of J. Szilágyi, but 22 have never been published. The significance of the material is twofold. On the one hand it yielded a wide array of Valentinian tile stamps, for example the stamps of Lupicinus tribunus , Terentianus tribunus , Caris tribunus , Verianus tribunus , Corta Vicen, Quadriburgium, and Vincentia. On the other hand, 27 of the 43 legio I Adiutrix stamps (the garrison of Brigetio between the early second and early fifth centuries AD) came from late Roman archaeological contexts, which means that some of the types of the otherwise undatable legio I Adiutrix stamps can now be dated with reasonable probability to the fourth century. [ABSTRACT FROM AUTHOR]

We present a novel and flexible learning-based method for generating tileable image sets. Our method goes beyond simple self-tiling, supporting sets of mutually tileable images that exhibit a high degree of diversity. To promote diversity we decouple structure from content by foregoing explicit copying of patches from an exemplar image. Instead we leverage the prior knowledge of natural images and textures embedded in large-scale pretrained diffusion models to guide tile generation constrained by exterior boundary conditions and a text prompt to specify the content. By carefully designing and selecting the exterior boundary conditions, we can reformulate the tile generation process as an inpainting problem, allowing us to directly employ existing diffusion-based inpainting models without the need to retrain a model on a custom training set. We demonstrate the flexibility and efficacy of our content-aware tile generation method on different tiling schemes, such as Wang tiles, from only a text prompt. Furthermore, we introduce a novel Dual Wang tiling scheme that provides greater texture continuity and diversity than existing Wang tile variants. [ABSTRACT FROM AUTHOR]

Tessellations (surface architectures of arrays of hard tiles) are common in natural and man-made designs. Boxfishes (Ostracioidea) are almost completely encased in a tessellated armor and have evolved a plethora of cross-sectional carapace shapes, yet whether the scutes constructing these exhibit comparable variation is unknown. Using high-resolution microCT and semi-automatic segmentation algorithms, we quantitatively examined thousands of scutes from 13 species of diverse body form. A cluster analysis revealed that certain scute types are associated with specific carapace regions independent of carapace shape. Scute types differentiate between carapace edges and flat regions, as well as between the head region with many carapace openings and the more consistently closed abdominal region, pointing at a constructional commonality or constraint shared by all boxfish species. However, the dimensions of edge scutes varied systematically with carapace shape (e.g., scute aspect ratio tended to increase with decreasing carapace height). This suggests that protection is maintained across body forms by managing scute- and carapace-level mechanisms for increasing bending resistance. Future studies on other taxa are necessary to understand whether these architectural principles are specific evolutionary solutions for building a boxfish carapace or whether they are shared by other biological systems that serve a similar protective function. Comparative architecture of the tessellated boxfish (Ostracioidea) carapace, using high-resolution microfocus computed tomography (microCT) and semi-automatic segmentation algorithms [ABSTRACT FROM AUTHOR]

This review paper explores the use of red mud as a sustainable alternative for construction materials and soil stabilisation due to its unique chemical and mineral composition, a waste produced during the extraction of aluminium from bauxite ore. The disposal of red mud is a major environmental issue worldwide due to its high alkalinity and large production volume. Although this material has already been utilised as construction material (e.g., bricks, cement, concrete), it can also be incorporated for waste water treatment and lead to waste reduction. In soil stabilisation, red mud's alkaline nature, pozzolanic properties, and fine particle size improve soil structure and strength, offering a cost-effective solution. Utilising red mud as a filling material for low-lying areas addresses the disposal problem while contributing to infrastructure development projects. This study highlights construction materials' mechanical properties and durability by incorporating bauxite tailings and also incorporating valorisation of red mud as a precursor for alkali-activated binder. This paper comprises recent research findings and practical applications associated with the use of this waste. Also, it discusses the benefits and challenges associated with the large-scale use of red mud. It gives an idea about how the strength and durability of construction materials can be improved considering overall environmental impact. Future perspectives on policy, technology, and environmental impact are also discussed to provide a comprehensive understanding of red mud's potential for sustainable development. Article Highlights: Red mud enhances the properties of materials like strength, durability, and thermal resistance of construction materials like bricks, ceramic, and cement. Red mud increases soil load-bearing capacity, reduces plasticity, and enhances erosion resistance, making it ideal for foundations and road construction. Using red mud reduces dependency on traditional raw materials, conserving natural resources and lowering environmental impacts. Red mud in construction and soil stabilisation contributes to durable, eco-friendly structures and supports sustainable land use. [ABSTRACT FROM AUTHOR]

Multi-scale electronic map tiles are important basic geographic information data, and an approach based on deep learning is being used to generate multi-scale map tiles. Although generative adversarial networks (GANs) have demonstrated great potential in single-scale electronic map tile generation, further research concerning multi-scale electronic map tile generation is needed to meet cartographic requirements. We designed a multi-scale electronic map tile generative adversarial network (MsM-GAN), which consisted of several GANs and could generate map tiles at different map scales sequentially. Road network data and building footprint data from OSM (Open Street Map) were used as auxiliary information to provide the MsM-GAN with cartographic knowledge about spatial shapes and spatial relationships when generating electronic map tiles from remote sensing images. The map objects which should be deleted or retained at the next map scale according to cartographic standards are encoded as auxiliary information in the MsM-GAN when generating electronic map tiles at smaller map scales. In addition, in order to ensure the consistency of the features learned by several GANs, the density maps constructed from specific map objects are used as global conditions in the MsM-GAN. A multi-scale map tile dataset was collected from MapWorld, and experiments on this dataset were conducted using the MsM-GAN. The results showed that compared to other image-to-image translation models (Pix2Pix and CycleGAN), the MsM-GAN shows average increases of 10.47% in PSNR and 9.92% in SSIM and has the minimum MSE values at all four map scales. The MsM-GAN also performs better in visual evaluation. In addition, several comparative experiments were completed to verify the effect of the proposed improvements. [ABSTRACT FROM AUTHOR]

Terra-cotta roof tiles are some of the most common and volume-intensive finds in the excavation of ancient synagogues, but their significance has received only minor consideration. This article reviews the evidence for terra-cotta roof tiles, which were the preferred roofing used in ancient synagogues in the Late Roman and Byzantine periods. A change took place from non-tiled roofs in Early Roman synagogues to the common use of terra-cotta roof tiles in the later synagogues. It will be suggested that this shift in roofing style was not merely a functional one, but part of the broader developments in synagogue-building, from a place of gathering in the Early Roman period, with an unassuming flat roof, to a more ornate and monumental structure (both internally and externally) with a prominent high tiled roof in plain view. [ABSTRACT FROM AUTHOR]

The emerging usage of digitalized histopathological images is leading to a novel possibility for data analysis. With the help of artificial intelligence algorithms, it is now possible to detect certain structures and morphological features on whole slide images automatically. This enables algorithms to count, measure, or evaluate those areas when trained properly. To achieve suitable training, datasets must be annotated and curated by users in programs like QuPath. The extraction of this data for artificial intelligence algorithms is still rather tedious and needs to be saved on a local hard drive. We developed a toolkit for integration into existing pipelines and tools, like U-net, for the on-the-fly extraction of annotation tiles from existing QuPath projects. The tiles can be directly used as input for artificial intelligence algorithms, and the results are directly transferred back to QuPath for visual inspection. With the toolkit, we created a convenient way to incorporate QuPath into existing AI workflows. [ABSTRACT FROM AUTHOR]

Abstract This review paper explores the use of red mud as a sustainable alternative for construction materials and soil stabilisation due to its unique chemical and mineral composition, a waste produced during the extraction of aluminium from bauxite ore. The disposal of red mud is a major environmental issue worldwide due to its high alkalinity and large production volume. Although this material has already been utilised as construction material (e.g., bricks, cement, concrete), it can also be incorporated for waste water treatment and lead to waste reduction. In soil stabilisation, red mud’s alkaline nature, pozzolanic properties, and fine particle size improve soil structure and strength, offering a cost-effective solution. Utilising red mud as a filling material for low-lying areas addresses the disposal problem while contributing to infrastructure development projects. This study highlights construction materials’ mechanical properties and durability by incorporating bauxite tailings and also incorporating valorisation of red mud as a precursor for alkali-activated binder. This paper comprises recent research findings and practical applications associated with the use of this waste. Also, it discusses the benefits and challenges associated with the large-scale use of red mud. It gives an idea about how the strength and durability of construction materials can be improved considering overall environmental impact. Future perspectives on policy, technology, and environmental impact are also discussed to provide a comprehensive understanding of red mud’s potential for sustainable development.