Search Results (1,796)

Material extrusion (MEX) additive manufacturing can produce material-dependent variations in dimensional fidelity, internal structure, and deposition stability, even under identical processing conditions. In this study, a comprehensive experimental investigation is conducted on MEX-printed specimens manufactured from a broad set of PLA-based composite materials to quantify these variations and assess their mutual interdependence. Dimensional behavior, internal structural characteristics, and process behavior were systematically investigated using complementary geometric, physical, and deposition-related descriptors. All properties were determined from replicated specimens to ensure statistical robustness, and the resulting datasets were examined using both conventional metrics and multivariate 3D correlation approaches. Compact PLA-based formulations exhibit consistent internal packing, characterized by relative density (RD) values of approximately 0.40–0.46, porosity (ϕ) levels around 55–60%, reduced (≤0.15%) density variability (CV), and small (−0.4–0.0%) volumetric deviations (ΔV). These features reflect stable extrusion and predictable dimensional response. In contrast, foamed, fiber-reinforced, and organic-filled composites display reduced internal packing (RD < 0.40), increased ϕ (>60%), elevated CV (0.27–0.58%), and systematically larger positive ΔV (up to +1.4%), indicating a higher sensitivity to process-induced heterogeneity. Multivariate correlations further reveal that volumetric dimensional distortion is jointly governed by internal packing efficiency and extrusion stability. Overall, the results demonstrate that dimensional accuracy in MEX of PLA-based composites arises from coupled structure–process interactions rather than isolated material or process parameters. The experimental framework proposed here provides quantitative guidance for material selection and process optimization aimed at enhancing geometric fidelity in composite filament fabrication. Full article

Background/Objectives: Malignant transformation of hepatocellular adenoma (HCA) represents a clinically significant yet incompletely understood process. Although the pathological and clinical characteristics of HCA have been extensively described, its spatial molecular heterogeneity and spatially organized molecular variation at the tissue level remain insufficiently characterized. This study aimed to establish a spatially integrated multi-omics workflow and to delineate spatially organized molecular variation across histologically defined regions from adenoma to carcinoma. Methods: A sequential dual-layer matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) workflow was developed to acquire small-molecule metabolomic and N-glycan spatial data from the same formalin-fixed paraffin-embedded (FFPE) tissue section. Four rare HCA specimens containing focal carcinoma transformation were included in this study. Pixel-level clustering, region-based co-localization analysis, and diffusion pseudotime modeling were applied to characterize spatial metabolic and N-glycan patterns across normal liver tissue (NL), hepatocellular adenoma (HCA), and carcinoma-transformed regions within adenoma (HCA-HCC). Results: Small-molecule MSI revealed spatial metabolic stratification within HCA, with variation observed in nucleotide-related, lipid-related, sulfur-related, and sugar nucleotide–associated metabolites. Pseudotime analysis revealed a spatial ordering of samples across NL, HCA, and HCA-HCC regions, showing differences in antioxidant-associated metabolites, lipid-related features, and bile acid-related metabolites across regions. N-glycan MSI identified independent glycosylation niches, with increasing structural complexity and enrichment of highly branched glycans in carcinoma-transformed regions. Integration of metabolomic and glycomic data suggested spatially associated patterns between metabolite features and glycan structures across regions. Conclusions: This study provides spatially resolved evidence of spatially organized patterns of molecular variation across histologically defined regions of HCA. The identified metabolic and N-glycan gradients provide insights into spatial molecular organization during malignant transformation of hepatocellular adenoma. Full article

A methodology was developed to evaluate the behavior of reinforced concrete slabs used in temporary traffic bridge systems installed over uncured cement concrete pavement sections using highly scaled-down experimental reinforced concrete slabs. A full-scale reinforced concrete slab was first designed and its behavior, such as strain and deflection, was numerically analyzed. A small-scale reinforced concrete slab was then designed considering a dimensional reduction ratio of 1/6. When using this reduction ratio, there is no actual reduced size steel bar, so the smallest size steel bar available must be used for placement. Therefore, numerical analyses were performed to design the steel bar arrangement of the small-scale slab so that the same behavior as that of the full-scale slab occurred. To conduct experiments, small-scale experimental slabs were fabricated according to the design. Since the size of coarse aggregates must be reduced in concrete used for small-scale slabs, specimens using the concrete mix design for full-scale slabs were also produced and the compressive strengths were compared to confirm that the strengths were the same. Next, a study was conducted on the selection of strain gauges that can be used in small-scale slab experiments, and a method for installing displacement gauges to accurately measure slab deflection was also designed. Based on this series of basic studies, load tests were performed to measure the strains and deflections of small-scale slabs. Comparing the measured behavior of the small-scale slab with the numerical analysis results, it was confirmed that the same behavior was observed. Therefore, the experimental results and numerical analysis results of the small-scale slab were consistent, and the numerical analysis results of the small-scale slab and the full-scale slab were identical, proving that the experimental results of the full-scale slab can be inferred through experiments using the small-scale slab. This study confirmed that if small-scale slabs are designed and manufactured to appropriately reflect the characteristics of full-scale slabs, even though the process is challenging, the behavior of full-scale slabs can be approximately determined through experiments using small-scale slabs. Full article

Background/Objectives: Clonal evolution is mainly defined based on the appearance or expansion of clones harboring specific somatic mutations and/or cytogenetic abnormalities, whereas few studies have investigated immunophenotypic heterogeneity assessed by flow cytometry and its relationship with disease progression. In this study, flow cytometry immunophenotyping of acute myeloid leukemia (AML) was carried out to identify phenotypic subclones based on antigen expression and to investigate clonal sweep. Methods: A total of 24 patients diagnosed with AML followed at the Hematology and Transplant Center of Salerno were included. Bone marrow or peripheral blood specimens were subjected to flow cytometry immunophenotyping and leukemic cell characterization. Phenotypic profiles were also compared to molecular alterations detected by next-generation sequencing. Results: We found that flow cytometry-defined clonal heterogeneity was more complex than molecular heterogeneity at diagnosis and disease relapse. Flow cytometry enabled the identification of small phenotypic subclones that were not detected by molecular profiling and that, in several cases, expanded over time, consistent with a phenotypic clonal sweep. The presence of small clones was associated with shorter progression-free survival and overall survival. Conclusions: Flow cytometric clonal heterogeneity, especially the presence of small clones (defined by antigen expression from 2 to 30%), may serve as an additional prognostic factor in AML. Immunophenotyping integrated with molecular data may improve risk stratification, enhance measurable residual disease assessment, and contribute to a more personalized disease monitoring strategy. Full article

In this work, experimental studies were conducted on the damage failure of laminated composite laminates under low-velocity impact and compressive failure behavior under compression after impact. The study primarily investigated the effects of stitch density, impact energy, and laminate thickness on the damage behavior of composite laminates. The experimental results indicate that at impact energies of 10 J, 15 J, and 20 J, the stitched specimens demonstrated higher impact resistance. When the stitch density was 10 × 10 mm, the average maximum impact force of the stitched specimens increased by 13.14%, 15.83%, and 21.48%, respectively, compared to the unstitched specimens. This was mainly attributed to the resin threads formed by the stitches, which enhance the through-thickness strength of the laminate, with the strengthening effect being positively correlated with stitch density. Under 20 J, the strength of the three groups of specimens with different stitching densities increased by 9.24%, 14.58%, and 21.48%, respectively, compared to the unstitched specimens. Under lower impact energies, the bending stiffness of the laminate itself was sufficient to resist the impact force, resulting in minimal differences in residual displacement among different specimens. Furthermore, the study found that under identical impact energy, stitch thread significantly suppressed delamination damage in thin specimens, whereas its effect on thick specimens was comparatively limited. The stitching also had a positive effect on the residual compressive strength of the specimens. Under 20 J impact energy, compared to the unstitched specimens, the residual compressive strength of the three groups of stitched specimens increased by 6.52%, 17.71%, and 27.48%, respectively. The mode of compression after impact failure also differed: unstitched laminated specimens mainly exhibited delamination damage, with cracks propagating along the width direction, while stitched laminated specimens demonstrated strength failure. Under axial compression, stress was released at the stitching points, leading to small-scale cracks along the fiber direction at these locations. Overall, the stitching process effectively enhances the impact resistance of laminated boards. Higher stitching density correlates with greater compressive residual strength, with this effect being more pronounced in thin-plate specimens. Full article

A large number of existing studies show that fiber-reinforced concrete (FRC) and ultra-high-performance concrete (UHPC) have improved crack resistance relative to conventional concrete, but there is limited research on further advancing the structural performance of FRC and UHPC through prestressing and self-healing. This study addresses this knowledge gap by introducing shape memory alloy (SMA) bars as reinforcement. Existing studies on using SMA bars for prestressing or healing are focused on conventional concrete. Thus, this study experimentally evaluates SMA bars in FRC and UHPC. Small-scale flexural specimens are fabricated for this purpose. Three mix designs are considered, corresponding to mortar, FRC, and UHPC. The prestrained and embedded SMA bars are employed in two different ways. The first method is to activate the SMA to prestress the concrete, thereby delaying cracking. The second is to activate the SMA after cracks develop, thereby closing and “healing” the cracks. Additionally, different heating methods are considered. Heating with electricity is compared to heating by electromagnetic induction to study their efficiency and safety. The experimental results validate the use of SMA for prestressing the different types of concrete. The concept of healing is also validated for all three types of concrete. Reductions in crack width as high as 80%, 90%, and 84% are measured in the mortar, FRC, and UHPC specimens, respectively. Full article

Objectives: In the era of precision oncology, the management of lung cancer depends fundamentally on the acquisition of sufficient neoplastic material for both definitive histological subtyping and comprehensive molecular profiling. This study aimed to investigate molecular testing adequacy rates for small lung biopsy specimens obtained via minimally invasive procedures at three high-volume oncology centers. Recognizing that a significant subset of specimens remains insufficient for analysis, we evaluated the utility of cell pellets derived from residual fixative media as a supplemental resource for ancillary molecular testing. Methods: Over a six-month period, specimen handling workflows for small biopsies were assessed across three high-volume oncology centers. The pre-analytic molecular adequacy of formalin-fixed paraffin-embedded (FFPE) tissue sections from patients diagnosed with non-small cell lung cancer (NSCLC) was evaluated. During the final two months of the study, in cases where the primary FFPE tissue was deemed inadequate for molecular profiling, the residual fixative solution was recovered and processed to generate supplemental cell pellets. Results: Using adequacy thresholds of >200 tumor cells per section and a tumor cell fraction (TCF) of ≥10% or ≥5% (depending on specific assay requirements), the overall adequacy rates for FFPE samples were 80.6% (2986/3705) and 88.9% (3293/3705), respectively. During the final two months, 18.9% (154/816) of cases exhibited inadequate FFPE sections. However, of these cases, 56% (86/154) yielded adequate cell pellets based on cellularity evaluation and DNA quantification. These results indicate that cell pellets collected from the fixative medium of thoracic small biopsies are a valuable supplemental material for ancillary testing. Conclusions: This multi-center investigation demonstrates that a notable subset of NSCLC specimens obtained via minimally invasive biopsy remains insufficient for molecular analysis. Cell pellet samples obtained from residual fixative media serve as a critical supplemental resource, effectively increasing the success rate of molecular adequacy in clinical practice. Full article

In idiopathic azoospermia caused by non-obstructive infertility with AZFc deletion, the testicle usually contains an increased number of mast cells (MCs)—which are responsible for collagen synthesis in the testes—as well as Leydig cell hyperplasia. However, the relationship between MCs and telocytes in this pathology remains unexplored. The aim of this study was to examine ultrastructural changes in the interstitial tissue microenvironment of the convoluted seminiferous tubules in the testis, using clinical specimens from men with genetically determined non-obstructive infertility with AZFc deletion. Histological, immunohistochemical, and electron microscopic (EM) studies were performed on surgical materials from 14 patients with AZFc deletion. The IHC study was performed using a panel of antibodies: tryptase, chymase, carboxypeptidase A3, and αSMA. The EM study was performed on ultrathin sections with a thickness of 100–120 nm. MCs were found to be in a functionally active state and characterized by a variety of secretory activities. For the first time, telocytes and their colocalization with MCs and Leydig cells were visualized. It is possibly the telocytes—interacting with MCs—that synchronize the functional activity of the entire MC population of the testis. The interaction of MCs with telocytes, as well as individual secretory granules associated with loci of tropocollagen and collagen microfibril accumulation, leads to the accumulation of collagen fibrils in the interstitium, as observed in idiopathic infertility with AZFc deletion. Even with a small number of MCs in the interstitium of the convoluted seminiferous tubules in the testis, the telocytes are able to synchronize MCs’ activation and secretory activity, supporting the development of a profibrotic phenotype of the tissue microenvironment. The obtained results advance our understanding of idiopathic infertility with AZFc deletion by delineating the ultrastructural landscape of the testicular interstitium and establishing telocytes as key regulators of cellular crosstalk. Telocytes use complex mechanisms for the spatial integration of MCs and fibroblasts in the profibrotic phenotype formation of the convoluted seminiferous tubule tissue microenvironment. Potentially, telocytes can directly be involved in synchronizing such processes by activating the biogenesis and secretion of collagen monomers by fibroblasts; the MC secretome directly affects the polymerization of collagen monomers and dimers into microfibrils in the extracellular matrix, stimulating excessive collagen fiber formation and the development of fibrotic changes. Full article

Non-destructive and destructive test methods are applied to wood to characterize this heterogeneous natural material. There have been multiple studies to characterize and investigate the change after the treatment (impregnation, thermal modification, etc.). In terms of thermal modification, there have been few studies on thermo–vacuum treatment, which is performed in a continuous vacuum atmosphere. With this method, the objective was to attempt to reduce the strength decrease after the thermal treatment. The aim of this study was to estimate the flexural properties of thermo–vacuum-treated Scots pine wood with destructive and acoustic-based non-destructive test methods. Wood was treated at 180 °C and 360 mm Hg. Both treated and untreated samples were cut into small specimens to ensure they were free of defects and were tested with acoustic-based non-destructive (longitudinal vibration and stress wave) and static bending test methods. The results show a decrease in equilibrium moisture content, demonstrating the efficiency of the treatment. When the results were compared with destructive test results, higher correlations (R² > 0.858) were found when estimating the modulus of elasticity (MOE) for both the untreated and treated wood, while lower correlations (R² < 0.440) were found for the modulus of rupture (MOR). When an additional equation was developed, stronger correlations (R² > 0.8986) were obtained between the non-destructive and destructive test results. Full article

The morphological identification of lepidopteran pest pupae has long been a difficult task. To explore automated solutions, this study established a standardized, multi-angle image dataset of pupae from 11 economically important lepidopteran pests. We then systematically evaluated six deep learning models, including both convolutional neural networks and Transformer architectures. The results show that all models successfully learned to distinguish the vast majority of species, with Vit-Small achieving the highest accuracy (98.71 ± 0.16%) and the highest F1-score (98.69 ± 0.20%). This confirms that pupal morphology provides sufficient discriminative visual information to support highly accurate automated identification. However, all models exhibited consistent, minor confusion among Helicoverpa armigera, Mythimna separata and Spodoptera exigua. Analysis revealed these errors originated from specific viewing angles of a limited number of specimens, underscoring the value of the multi-angle imaging protocol used in this study. This study transforms pupal identification from a traditional taxonomic difficulty into a solvable computer vision task, providing a dataset, methodological benchmarks, and a feasibility validation for developing image-based tools for pupal-stage pest surveillance. Full article

Forest waste is globally abundant and holds significant potential for valorisation in various sectors. This paper investigates its use in urban road infrastructures, utilising enzymatic lignin, a by-product from forest waste bioethanol production, as a bitumen extender for warm-mix asphalt. Since this asphalt concrete is produced at about 40 °C below the traditional hot-mix asphalt temperature, this study evaluates lignin’s ability to ensure the required mechanical performance of asphalt concrete in both aged and non-aged states. The TEAGE—TEcnico accelerated AGEing device—applied UV radiation and wet/dry cycles to virgin bitumen, a lignin blend, and compacted asphalt concrete specimens to replicate urban weathering. Cylindrical specimens underwent indirect tensile tests to assess water sensitivity, while beam samples underwent four-point bending tests to evaluate stiffness and fatigue resistance. The results indicate that this warm-mix asphalt, with lower atmospheric emissions during manufacturing and pavement construction, meets the mechanical demands of urban roads, particularly with respect to fatigue and water resistance. However, the findings also show that asphalt concrete containing lignin experiences excessive ageing of small specimens, and further testing on compacted slabs is needed to better simulate exposure to UV radiation in pavement layers. Overall, the study concludes that lignin lowers asphalt production temperatures and partially substitutes conventional binders, with promising applications in urban pavement technologies. Full article

This study presents an experimental investigation into the rehabilitation of fire-damaged reinforced concrete (RC) columns using Ultra-High-Performance Concrete (UHPC) under an eccentric load of (e = 45 mm). The experimental program comprised nine small-scale RC column specimens, which were divided into two groups based on exposure temperatures of 500 °C and 700 °C, applied using a specially designed furnace. A control column that was not exposed to fire was also tested for comparison. The study included two fire exposure durations: 60 and 120 min. During the heating phase, the columns were subjected to a pre-applied axial load equal to 50% of their ultimate capacity (Pu). After sustaining fire-induced damage, the columns were rehabilitated using UHPC jacketing. The experimental results revealed a reduction in the ultimate load-carrying capacity of the RC columns with increasing fire temperature and exposure duration. Specifically, the load capacity decreased by 22.68% and 33.89% when exposed to 500 °C for 60 and 120 min, respectively, and by 42.02% and 49.02% when exposed to 700 °C for 60 and 120 min, respectively, compared with the control column. However, strengthening the fire-damaged columns with UHPC significantly enhanced their structural performance, resulting in an increase in ultimate load capacity ranging from 81.88% to 157.14% compared with their corresponding fire-damaged unstrengthened specimens. Based on the experimental findings, the load lateral displacement response at mid-height, load–axial deformation curves, failure modes, ductility, and stiffness characteristics of the columns were analysed. The study concludes that the use of UHPC in rehabilitating fire-exposed columns substantially improves most of these structural properties. Full article

Foreign material is an uncommon finding in routine gastrointestinal histopathology, but may occasionally contribute to disease pathogenesis or create diagnostic pitfalls. We report two illustrative cases highlighting the diverse clinical and histologic implications of ingested plant material. The first case involves a 10-year-old boy who presented with clinical features consistent with acute appendicitis and underwent appendectomy. Although gross examination revealed a macroscopically unremarkable appendix, histological evaluation demonstrated mucosal ulceration associated with an impacted plant seed within the appendiceal lumen, supporting a diagnosis of obstructive acute appendicitis. The second case describes a 60-year-old woman undergoing a screening colonoscopy, during which a small sessile lesion in the transverse colon was resected. Histologic examination revealed no colonic mucosa; instead, the specimen consisted entirely of plant material, morphologically consistent with a tomato seed, representing an incidental finding mimicking a colonic polyp. These cases underscore that plant seeds, while rare, may act as obstructive agents in appendicitis or simulate true pathological lesions during endoscopic and histologic evaluation. Awareness of the characteristic microscopic features of plant material is essential to avoid misdiagnosis and to recognise their potential clinical and forensic relevance. Full article

The Scythrididae Rebel, 1901, comprises small and morphologically homogeneous microlepidoptera whose identification relies mainly on genitalia examination. In Italy, this group has been more extensively investigated than other microlepidoptera families, but molecular data remain scarce. This study aims to improve the knowledge of Scythrididae diversity in southern Italy through DNA barcoding. Twenty-nine specimens collected in Calabria and Basilicata underwent DNA barcoding, yielding 28 sequences of 602–658 bp, which clustered into 10 Barcode Index Numbers (BINs), corresponding to 10 species. Three BINs are newly created in the Barcode of Life Data System (BOLD), enriching the global reference library. Except for Scythris aspromontis Jäckh, 1978, described for the study area, the remaining species represent faunistic novelties at different scales: Scythris dissitella (Zeller, 1847) is new for continental Italy and eight additional species are new for southern Italy or Calabria and Basilicata regions. Moreover, a significant genetic distance was observed between our sequence of Scythris cf. tabidella (Herrich-Schäffer, 1855) and sequences of tabidella available on BOLD, which will be addressed in detail in the discussions. The results highlight the underexplored diversity of Scythrididae in the Mediterranean region and confirm the effectiveness of integrative taxonomy combining DNA barcoding and morphology. This study provides the first molecular contribution to the Scythrididae fauna of southern Italy and contributes to improving the taxonomic knowledge of a group that remains insufficiently investigated in the Mediterranean region. Full article

Background: The heterogeneous nature of cancer with varying degrees of fat, necrosis, fibrosis, and varying degrees of tissue repair severely impacts the success of acquiring adequate tissue samples during percutaneous image-guided biopsy. Although ultrasound or CT fluoroscopy are used to identify tumor location and thus to guide biopsy needle insertion, these technologies do not provide the necessary resolution to determine tissue composition and enable the selection of the most appropriate location for biopsy specimen extraction. As a result, biopsy must be repeated, leading to significant cost to the health care system. Methods: In this study, we introduce a combined optical imaging/artificial intelligence (OI/AI) methodology for the real-time assessment of tissue morphology at the tip of the biopsy needle, prior to the collection of a biopsy specimen. Addressing a significant clinical challenge, this approach aims to reduce the proportion of biopsy cores—currently as high as 40%—that yield low diagnostic value due to elevated adipose or low tumor content. Our methodology employs micron-scale optical coherence tomography (OCT) imaging to obtain detailed structural tissue information using a minimally invasive needle probe. The OCT images are automatically analyzed using a convolutional neural network (CNN)-driven AI software developed by our team. A U-net style architecture was used to segment regions of tumor from the OCT scans. U-Net is a specialized convolutional neural network (CNN) architecture designed for fast, precise image segmentation, which involves classifying each pixel in an image to outline objects. This streamlined approach shows promise to provide clinicians with real-time results, supporting more accurate and informed decisions regarding biopsy site selection. To evaluate this technology, we conducted a clinical study using a custom-made OCT imager and recorded OCT images from patients diagnosed with liver cancers. Expert OCT interpreters supplied annotated reference images that were used to train a custom AI algorithm. Results: OCT imaging with ~10 mm axial and 20 mm lateral resolution enabled the collection of high-quality images of the tissue. The AI analysis was performed offline. UNet achieved an AUC of ~0.877 on the validation dataset, indicating promising performance for the relatively small data set used to train the model. The AI model matched human interpretations approximately 90% of the time, highlighting its promise for making biopsy procedures both more accurate and more efficient. Conclusions: A novel OCT instrument and AI software were evaluated for assessing tissue composition at the tip of biopsy needle. The OCT instrument produced micron-scale resolution images of the tissue, enabling AI analysis and accurate real-time discrimination of tissue type. This preliminary study demonstrated the clinical potential of this technology for improving biopsy success. Full article