Texture Analysis Research Articles

The primitive giant panda Kretzoiarctos beatrix (Carnivora, Ursidae) from the hominid locality of Hammerschmiede: dietary implications

AbstractExtant giant pandas are among the most herbivorous forms of the order Carnivora, feeding mainly on hard plant material. The first steps of their evolutionary lineage are of particular interest for our understanding of the factors that led to this specialized niche. The present work deals with newly discovered dental material of the primitive ailuropodine bear Kretzoiarctos beatrix from the Late Miocene locality of Hammerschmiede (Germany). This is the first report of the genus Kretzoiarctos outside the Iberian Peninsula, expanding its spatial range to Central Europe. All of the currently known localities with K. beatrix, from both Spain and Germany, are very similar in age (c. 11.9–11.4 Ma). The present material has distinct features that enable its taxonomic discrimination from other Miocene ursids of Europe, such as Ballusia, Ursavus, Miomaci, Agriarctos and Indarctos. A thorough comparison is conducted of all of these forms. The new specimens were used in a dental microwear texture analysis in combination with ecomorphological comparisons, to investigate the dietary habits of this primitive ailuropodine. The results suggest that Kretzoiarctos was not an eater of tough plant material like the extant giant panda but was more similar to the extant Tremarctos, exhibiting opportunistic behaviour with occasional consumption of meat.

Research on parametric analysis and simulation application of spatial texture in traditional villages: a case study of Cantonese traditional villages

ABSTRACT Traditional Chinese villages, as rural settlements shaped over extensive historical evolution in agrarian societies, have lacked a systematic method for quantitatively analysing and understanding the historical spatial forms. This study takes a morphological research perspective, using Lohong Village, Su’er Village, and Shangyue Village in Guangdong Province as case studies of typical Cantonese traditional villages. It focuses on three key spatial texture elements: roads, plots, and architecture, employing parametric modelling techniques to investigate their combination patterns and quantitative characteristics. The findings indicate that: (1) Parametric analysis techniques can comprehensively, quantitatively, and accurately reveal the patterns of village spatial texture; (2) Comparing optimized parametric simulation results with original villages shows high similarity in spatial texture, demonstrating the method’s high fidelity and practical value; (3) The study explores a research approach suitable for the computer era – “data collection – parametric feature extraction and optimization – simulation and data calibration” – to study the spatial texture of traditional villages. Furthermore, it establishes a parametric-based platform for rural planning and construction management, providing a digital design pathway and management basis to preserve and inherit the historical village aesthetics.

Heat treatment, microstructure, texture, and mechanical properties of electron beam melted Ti6Al4V

The findings from the microstructural and textural analysis of as-printed and heat-treated electron beam melted Ti-6Al-4V (EBM-Ti64) samples are discussed in this work. The initial microstructures of both samples were characterized precisely. The as-printed microstructure exhibits aligned grain boundaries parallel to the building direction, with the presence of α platelets. In contrast, the heat-treated microstructure reveals a lamellar α/β structure with a considerably wide interlamellar spacing. This work addresses the transformations from β→α+ά and ά→α+β occurring when materials are heated up to below the β-transus temperature. While the ά→α˝+β transformation is deemed unlikely to take place, the process can still occur through spinodal decomposition of β,β→βV−poor+βV−rich→α˝+βV−rich where α˝ eventually transforms into α+β. A thorough characterization of three primary morphologies of the α phase was revealed. Due to exposure to high temperatures, as experienced in the environment of a rocket engine fan, it was necessary to conduct isothermal hot compression experiments on the homogenized EBM-Ti64 alloy. These experiments aim to investigate the hot deformation behavior within the temperature range of 250–350 °C and a strain rate of 10 s−1. The findings indicate that the modified Johnson-Cook constitutive model and its corresponding numerical simulation, based on stress-strain and work-hardening characteristics, effectively predict the flow behavior of this microstructurally complex alloy. Microstructure and mechanical properties of deformed as-printed and heat-treated samples at 250 ℃, 300 ℃, and 350 ℃ show that although dynamic recrystallization is not feasible under these conditions, we observe grain refinement and decreasing interlamellar spacing. These findings align with mechanical properties, where higher total strain and lower ultimate compression strength were noted as the testing temperature increased. Additionally, heat-treated materials exhibited inferior mechanical characteristics under each testing circumstance. Texture rotation (90 degrees) after deformation is evident in all pole figures. Considering the orientation distribution function maps, more intense <0001> fibre and {101̅0} <0001> textures were formed. Assessments of the slip systems revealed that the basal slip system has the lowest activity when considering texture orientations. Conversely, the most significant deformation contribution, particularly in the c-axis, comes from contraction twin and <c+a> 1st order pyramidal.

Integrated textural and geochemical analysis of igneous zircon by atom probe tomography

Mechanisms relating to growth and/or compositional modification of zircon occur at the atomic scale. For felsic igneous systems, processes responsible for growth patterns in zircon have previously remained elusive as the volume of material needed to analyze these compositional features using traditional in-situ methods is considerably larger than the typical sub-micron scale distribution of trace elements. To illuminate some of these driving forces, we characterize and quantify minor and trace element concentrations in igneous zircon grains by combining methods of cathodoluminescence (CL) imaging, electron microprobe microanalysis (EMPA) elemental maps for Hf, Y, Yb and U or Th, and atom probe tomography (APT). We focus on igneous zircon from the Chon Aike Silicic Large Igneous Province (Patagonia) that provide novel insights into (1) dissolution and re-crystallization during crustal anatexis, (2) crystallization to produce oscillatory zonation patterns that are typical of igneous zircons, and (3) the incorporation of trace element impurities (e.g., P, Be, and Al) at the nanoscale. Significantly, these APT volumes provide nanoscale sampling of boundaries between oscillatory growth zones in an igneous zircon to reveal compositional zoning of Y and, to a lesser extent P, which appear as high-angle, planar features. These concentration boundaries measured on the order of 10 to 12 nm are difficult to reconcile with proposed mechanisms for generating fine-scaled oscillations. Lastly, we fit diffusional profiles to measured Y concentrations to provide an estimate on the maximum timescales of zircon growth prior to eruption, as a function of the temperature at which diffusion occurred. When combined with known pressure-temperature-time paths for the magmatic system considered, these extremely short diffusion profiles that are resolvable by APT provide a powerful method to constrain timescales of crystal growth.

Discovery of fossil micrometeorites from the Deccan trap intertrappeans

AbstractThe Cretaceous–Paleogene (K‐Pg) boundary represents the extinction of ~70% of species, a prominent Chicxulub impact event and Deccan volcanism. This work reports the first attempt to extract the micrometeorites (MMs) from the Deccan intertrappean horizons. Eighty‐one spherical particles were studied for their morphological, textural, and chemical characteristics. Intact cosmic spherules with ferromagnesian silicates (6) and Fe‐Ni oxide (7) compositions correspond to MMs from the deep sea and Antarctica. Silicate and Fe‐Ni spherules in this study showcase remarkable preservation, a testament to the highly favorable conditions present. Fe spherules (38) with iron oxide compositions exhibit diagenetic alteration during preservation. Textural analysis of 30 Fe spherules reveals a dendritic, interlocking pattern and slightly elevated Mn content, suggesting these may be fossilized I‐type MMs. However, eight Fe spherules with blocky and cubical granular textures resemble oxidized pyrite spherules. Al‐Fe‐Si spherules (30) possess a significant enrichment of Al and Si within their Fe‐oxide‐dominated composition. Group‐I Al‐Fe‐Si spherules (15) display zoned Al‐Fe‐Si oxide composition, dendritic Mg‐Cr spinel grains, and aerodynamic features, all indicative of impact spherules. The finding of these impact spherules from sampled Deccan intertrappean layer raises the possibility that these paleosols were deposited during the Chicxulub impact event, the only identified impact event with global distribution during the Deccan volcanism time frame. This unique location provides an opportunity for the simultaneous collection of well‐preserved MMs, impact, and volcanic spherules. The exceptional preservation of the studied MMs is likely due to a combination of non‐marine environments, atypical climatic conditions, and rapid deposition. This study further investigates the potential role of cosmic dust flux in the K‐Pg extinction event. We propose that the enhanced cosmic dust flux, a likely scenario during the K‐Pg boundary period, synergistically mixing with impact dust in the upper atmosphere, may have intensified and extended the harsh climatic conditions at the K‐Pg boundary. Subsequently, the deposition of this dust, enriched in bioavailable iron, on Earth's surface might have contributed to the swift recovery of life and environmental conditions.

Efficient capacitive deionization with hierarchical porous carbon flow electrodes

Flow-electrode capacitive deionization (FCDI) represents an innovative, chemically-free, and environmentally-friendly approach for desalination. However, the long-standing challenge of constrained electronic and ionic transport within its flow-electrode has impacted overall desalination performance. In this study, we explore novel concepts and advancements in capacitive deionization by utilizing hierarchical porous carbon (HPC) flow electrodes. By employing widely available sodium carboxymethyl cellulose as a carbon precursor and NaCl as an activator, we have successfully synthesized a carbon-based particle electrode featuring a hierarchical porous structure. The HPC electrode was further optimized through precise adjustments to its pore structure. The optimized electrode exhibited excellent dispersion, viscosity, and remarkable specific capacitance of 283.96 F g−1. Under optimal conditions of a 10% mass loading and an applied voltage of 1.2 V, the electrode demonstrated an average salt removal rate of 82.11 μg cm−2 min−1, a charge efficiency of 101.44%, and an energy consumption of 9.32 × 10−3 kWh mol−1. Furthermore, we investigated the optimal operating parameters for the FCDI device equipped with the HPC flow electrode. Impressively, the HPC flow electrode achieved a salt removal efficiency exceeding 80% over five cycles, maintaining an average salt removal rate of 54.00 μg cm−2 min−1 during 12 h of continuous operation. Detailed textural analysis and electrochemical characterizations revealed that the superior desalination performance is attributed to the hierarchical porous structure of the electrode. This unique structure significantly enhances both electronic and ionic transport within the FCDI system. Our study underscores the critical role of hierarchical porous carbon flow electrodes in capacitive deionization, paving the way for novel strategies to optimize ion and electron transport.

Texture measurements of archaeological objects at STRESS-SPEC neutron diffractometer

The main advantage of neutron diffraction over X-ray diffraction, arises from the fact that the interaction of neutrons with material is relatively weak and not related to the number of electrons, and consequently the penetration depth of neutrons is about 102-103 larger than that of laboratory X-ray diffraction. This is particular essential for the non-destructive texture analysis of archaeological objects as no additional surface treatments of the samples (e.g. polishing) are necessary. STRESS-SPEC at MLZ is designed as a state of the art multi-purpose diffractometer for strain and texture analysis. Besides the optimized high neutron flux the available large variability in gauge volume definition systems together with the robotic sample handling option offer high flexibility for bulk or gradient texture measurements. Since 2014, local and bulk textures of iron and gold artefacts collected by Bavarian State Archaeological Collection (Munich, Germany) have been thoroughly investigated at STRESS-SPEC. Results showed that heat treatment of iron artefacts at high temperatures can re-orientate the inner crystallites. In the gold foil artefacts, the texture represented by the measured pole figures shows a high symmetry – the so-called Cube component, which is commonly found in annealed fcc materials. For comparison, laboratory samples were produced by rolling, flat hammering, and pin / round hammering and also measured in order to elucidate possible manufacturing and processing routes. In turned out that both rolling and pin / round hammering followed by a high temperature annealing can produce similar pole figures to those of the gold artefacts foils.

Physicochemical and sensory properties of cookies with cricket powder as an alternative snack to prevents iron deficiency anemia and chronic energy deficiency

Cricket contains high protein content, making them a valuable resource for enhancing nutritional properties of cookies for prevents Iron Deficiency Anemia (IDA) and Chronic Energy Deficiency (CED) in female adolescents. This study evaluates the physicochemical properties and acceptability of cookies enriched with cricket powder. An experimental study with five treatments was conducted: F0 (0 %), F1 (5 %), F2 (10 %), F3 (15 %), and F4 (20 %). Texture was determined using a texture analyzer and color was assessed using a chromameter. Chemical attributes, including macronutrients, were determined using thermogravimetric, drying ash, Kjeldahl, Soxhlet, by difference, and gravimetric methods. Micronutrients (Fe, Ca, Zn) were measured using ICP-OES, amino acid profiles were analyzed using the HPLC, and in vitro protein digestibility was assessed using the enzymatic method. One-way ANOVA with Tukey's post hoc test, Kruskal-Wallis, and Mann-Whitney were used for statistical analysis. Adding cricket powder to cookies increased their nutritional content. While it reduced the lightness of the cookies' color, the texture quality remained comparable to commercial products. The F3 formulation was the most liked by panelists, and the best formulation was obtained in F4. In conclusion, adding cricket powder affects the physicochemical properties and consumer acceptance of the cookies, enhancing their nutrient content and protein digestibility.

Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer

AbstractBackgroundRecent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC).MethodsThis retrospective study investigated 263 patients with CRC who underwent contrast‐enhanced CTC (CE‐CTC) before curative surgery between January 2014 and December 2017. Multiple texture analyses (fractal, histogram, and gray‐level co‐occurrence matrix [GLCM] texture analyses) were applied to CE‐CTC (portal‐venous phase), and fractal dimension (FD), skewness, kurtosis, entropy, and GLCM texture parameters, including GLCM‐correlation, GLCM‐autocorrelation, GLCM‐entropy, and GLCM‐homogeneity, of the tumor were calculated. These texture parameters were compared with pathological factors (tumor depth, lymph node metastasis, vascular invasion, and lymphatic invasion) and overall survival (OS).ResultsTumor depth was significantly associated with FD, kurtosis, entropy, GLCM‐correlation, GLCM‐autocorrelation, GLCM‐entropy, and GLCM‐homogeneity (p = 0.001, 0.001, 0.001, 0.001, 0.018, 0.008, and 0.001, respectively); lymph node metastasis was associated with GLCM‐homogeneity (p = 0.004); lymphatic invasion was associated with GLCM‐correlation and GLCM‐homogeneity (p = 0.001 and 0.012, respectively); and venous invasion was associated with FD, entropy, GLCM‐correlation, GLCM‐autocorrelation, and GLCM‐entropy of the tumor (p = 0.001, 0.033, 0.021, 0.046, respectively). In the Kaplan–Meier analysis, patients with high GLCM‐correlation tumors or high GLCM‐homogeneity tumors showed a significantly worse OS than others (p = 0.001 and 0.04, respectively). Multivariate analyses showed that the GLCM correlation was an independent prognostic factor for the OS (p = 0.021).ConclusionCE‐CTC‐derived texture parameters may be clinically useful biomarkers for managing CRC patients.

Unravelling the nexus between structure, texture, and acoustic traits of fried chicken nuggets

SummaryTexture is a multi‐parameter attribute and one of the prime quality attributes of fried products. This study explored the nexus between microstructure and texture of fried breaded chicken nuggets. Chicken nuggets were deep‐fat fried (2, 4, 6, and 8 min) in canola oil at different frying temperature (170, 180, and 190 °C). Microstructure and texture of fried samples were assessed by scanning electron microscopy (SEM) and acoustic‐mechanical texture analyser, respectively. Maximum force (Fmax), number of force peaks (NFP), area under force‐deformation plots (FA), sound pressure level (SPL), number of sound peaks (AUX), and area under amplitude‐time curves (SA) were used to describe the textural parameters. Microstructural indices (porosity, number of pores, average pore area, polydispersity index, and average shape factor) were estimated from the SEM images. Results revealed that, both the frying time and temperature were positively correlated with the mechanical (Fmax: 25–55 N, NFP: 05–74 N, FA: 6500–15 000 N.sec) and acoustic (SPL: 88–97 dB, AUX: 650–810 dB, SA: 380–405 dB.sec) parameters. Frying time and temperature significantly (P &lt; 0.05) impacted the formation of micropores in fried chicken nuggets. Crust microporosity showed strong positive correlations (r = 0.82) with the AUX value. The NFP, SPL, and SA of the fried nuggets were significantly (P &lt; 0.05) impacted by the crust microporosity. Crust porosity (10–30%), number of pores (8–400), average pore area (10–4000 μm2), polydispersity index (0.05–0.2), and average shape factor (0.8–1.1) of fried nuggets were significantly (P &lt; 0.05) influenced by both the frying time and temperature. Findings from this study would be useful in quality improvement and process monitoring including modelling of coated fried products.

On the Relationship between Thermomechanical Processing Parameters and Recrystallization Texture in AA1100 Aluminum Alloy

In this study, 48 hot-rolling processing conditions were designed to investigate the influences of thermomechanical processing parameters on the recrystallization behavior and texture development. The hot-rolling experiments were conducted using the thermomechanical simulator Gleeble 3800 at temperatures of 275, 300, and 350 °C with strain rates of 5 and 90 s−1 up to 60 and 85% reduction. The microstructure and texture analysis were measured by using the EBSD technique on a large area. Experimental results show that the Cube component maintains a volume fraction between 10% and 20%, below the 40% recrystallization fraction, but the volume fraction of Cube significantly increases between 20% and 50% above the 40% recrystallization fraction. However, the fractions of Rotated Cube (RC) and Goss components remain below 10%.

Could CT Radiomic Analysis of Benign Adrenal Incidentalomas Suggest the Need for Further Endocrinological Evaluation?

We studied the application of CT texture analysis in adrenal incidentalomas with baseline characteristics of benignity that are highly suggestive of adenoma to find whether there is a correlation between the extracted features and clinical data. Patients with hormonal hypersecretion may require medical attention, even if it does not cause any symptoms. A total of 206 patients affected by adrenal incidentaloma were retrospectively enrolled and divided into non-functioning adrenal adenomas (NFAIs, n = 115) and mild autonomous cortisol secretion (MACS, n = 91). A total of 136 texture parameters were extracted in the unenhanced phase for each volume of interest (VOI). Random Forest was used in the training and validation cohorts to test the accuracy of CT textural features and cortisol-related comorbidities in identifying MACS patients. Twelve parameters were retained in the Random Forest radiomic model, and in the validation cohort, a high specificity (81%) and positive predictive value (74%) were achieved. Notably, if the clinical data were added to the model, the results did not differ. Radiomic analysis of adrenal incidentalomas, in unenhanced CT scans, could screen with a good specificity those patients who will need a further endocrinological evaluation for mild autonomous cortisol secretion, regardless of the clinical information about the cortisol-related comorbidities.

Modelling insertion behaviour of PVP (Polyvinylpyrrolidone) and PVA (Polyvinyl Alcohol) microneedles

A comprehensive investigation into the effects of nonlinear material behaviour of polymeric (MN) and skin on the dynamics of the MN insertion in skin was undertaken in this study using experiments and numerical simulations. The nonlinearity of the material behaviour was incorporated by employing the Ramberg–Osgood and neo-Hookean equations for stress–strain relationships for the MN materials and skin, respectively. For this purpose, a characteristic type of dissolving MN array was selected. This type of MN is made by a combination of poly(vinyl alcohol) and poly(vinyl pyrrolidone). The numerical simulations were validated using experimental investigations where the MNs were fabricated using laser-engineered silicone micromould templates technology. Young’s modulus, Poisson’s ratio, and compression breaking force for the MN polymers were determined using a texture analyser. The alignment between experimental findings and simulation data underscores the accuracy of the parameters determined through mechanical testing and mathematical calculations for both MN materials (PVP/PVA) and skin behaviour during the MN insertion. This study has demonstrated a strong alignment between the experimental findings and computational simulations, confirming the accuracy of the established parameters for MNs and skin interactions for modelling MN insertion behaviour in skin, providing a solid foundation for future research in this area.

Occurrence and enrichment of cobalt and nickel in the Yindongshan ultramafic–mafic intrusion-hosted iron deposit, western Hubei Province, China

The Yindongshan iron deposit in western Hubei Province of China is hosted within Ordovician ultramafic–mafic intrusions. Recent field geological surveys have detected cobalt (Co) and nickel (Ni) enrichment within the Yindongshan clinopyroxenite, suggesting good potential for subeconomic Co-Ni mineralization. This study investigated the occurrence modes and enrichment processes of Co and Ni in the Yindongshan deposit through field geology and in situ analysis of the rock texture, geochronology, and geochemistry of sulfides, Fe-Ti oxides, and silicate minerals. The Yindongshan clinopyroxenites were emplaced at 440.2 ± 7.2 Ma via titanite LA-ICP-MS U-Pb dating, and underwent extensive post-magmatic metamorphism at 401.2 ± 8.6 Ma via apatite U-Pb dating. This metamorphism led to the widespread formation of amphibole via the replacement of clinopyroxene. Subsequently, hydrothermal epidote-albite veins, calcite-pyrite veins, and later actinolite veins developed. Pyrites from both clinopyroxenites and calcite veins show limited δ34S variations from −5.4 ‰ to −1.2 ‰, suggesting a magmatic sulfur source. Late-vein actinolites display geochemical characteristics distinct from those of amphiboles, indicating possible involvement of external fluids. LA–ICP–MS trace element results reveal a general increase in Co and Ni contents from silicate minerals and Fe-Ti oxides to pyrite and from earlier-crystallized coarse-grained clinopyroxenite to later medium- to fine-grained clinopyroxenite. The highest Co and Ni contents observed in pyrite from coarse-grained clinopyroxenite suggest their preferential incorporation into early sulfide minerals and then progressively depleted through magmatic evolution such as fractional crystallization. The positive correlation between Co and Ni with Fe in pyrite, along with the consistent parallel time-resolved LA–ICP–MS depth profiles among different mineral phases, indicates that isomorphic substitution occurred in pyrite. In silicate minerals, the Co and Ni contents increase from pyroxene, amphibole, to actinolite, with almost no Co or Ni present in epidote. The elevated Co and Ni contents in metamorphic amphiboles are attributed to their remobilization from magmatic pyrite to newly formed amphiboles. During the late hydrothermal phase, external fluids might transport additional Co and Ni, contributing to higher concentrations in late actinolite veins. In general, Co and Ni in the Yindongshan iron deposit are primarily hosted in sulfide minerals and can be remobilized during regional metamorphism and metasomatism. Thus, magmatic iron or iron–titanium oxide deposits hosted by mafic–ultramafic intrusions with sulfide mineralization may serve as promising targets for further Co-Ni exploration.

Opportunistic Screening for Osteoporosis Using Hand Radiographs - A Feature Augmentation Study Technique (FAST).

Patients with low bone mineral density (BMD) face an increased risk of fractures, yet are frequently undiagnosed. Consequently, it is imperative to have opportunistically screen for low BMD in patients undergoing other medical evaluations. This retrospective study encompassed 422 patients aged ≥ 50 who underwent both dual-energy X-ray absorptiometry (DXA) and hand radiographs (modality of digital X-ray) from three different vendors within a 12-month period. The dataset was randomly divided into training/validation (n=338) and test (n=84) datasets. we sought to predict osteoporosis/osteopenia and establish correlations between bone textural analysis and DXA measurements. Our results demonstrate that the deep learning model achieved an accuracy of 77.38%, sensitivity of 77.38%, specificity of 73.63%, and an area under the curve (AUC) of 83% in detecting osteoporosis/osteopenia. These findings suggest that hand radiographs can serve as a viable screening tool for identifying individuals warranting formal DXA assessment for osteoporosis/osteopenia.

Application of Analytical Hierarchy Process in evaluation of neotectonic variability on drainage basin systems in the Edea – Eseka region (SW Cameroon Atlantic Coast)

Complex geology and tectonics of the SW Cameroon Atlantic Coast are responsible for the present-day landscapes of the Edea – Eseka Region (EER). The EER is tectonically active and shows differential tectonic uplift, contrasting relief, variations in erosion rates, in river incision, and in channel gradient. Drainage system divides are dynamic features of a landscape that migrate over time during the development of river networks. To study the neotectonic variability in this region, we investigate the drainage river system and the topographic expression of active regional tectonics across the EER. From the Digital elevation model (DEM, 30 m pixel resolution) using Geographic Information System (GIS) interpretive techniques, we extracted eleven morphometric parameters of thirty-two main drainage basins which were combined with Analytical Hierarchy Process (AHP) method. The inter-relationships between these indices grouped into four categories such as watershed geometry, relief characteristics, drainage texture analysis and regional tilting/uplift; can determine the influence of regional tectonic activity in the shape development of drainage basins. The results of the landscape analysis reveal significant variations of the morphometric parameters within the study area indicate a strong tectonic control. From the AHP values, the area is subdivided into high (∼25 %), moderate (∼43.75 %), and low (∼31.25 %) regional tectonic classes. The spatial distribution of different AHP classes shows a gradational pattern from coast to hinterland, suggesting a gradual decrease (from west to east) in the neotectonic activity in the EER drainage basin systems. The moderate-to-high neotectonic activity (∼68.75 %), demonstrates the complexity of the EER unstable tectonic character due to lithospheric mantle dynamism/asthenospheric upwelling as well as the Cameroon Volcanic Line (CVL) activity.

Impact of radiomics features, pulmonary emphysema score and muscle mass on the rate of pneumothorax and chest tube insertion in CT-guided lung biopsies

Iatrogenic pneumothorax is a relevant complication of computed tomography (CT)-guided percutaneous lung biopsy. The aim of the present study was to analyze the prognostic significance of texture analysis, emphysema score and muscle mass derived from CT-imaging to predict postinterventional pneumothorax after CT-guided lung biopsy. Consecutive patients undergoing CT-guided percutaneous lung biopsy between 2012 and 2021 were analyzed. Multivariate logistic regression analysis included clinical risk factors and CT-imaging features to detect associations with pneumothorax development. Overall, 479 patients (178 females, mean age 65 ± 11.7 years) underwent CT-guided percutaneous lung biopsy of which 180 patients (37.5%) developed pneumothorax including 55 patients (11.5%) requiring chest tube placement. Risk factors associated with pneumothorax were chronic-obstructive pulmonary disease (COPD) (p = 0.03), age (p = 0.02), total lung capacity (p < 0.01) and residual volume (p = 0.01) as well as interventional parameters needle length inside the lung (p < 0.001), target lesion attached to pleura (p = 0.04), and intervention duration (p < 0.001). The combined model demonstrated a prediction accuracy of the occurrence of pneumothorax with an AUC of 0.78 [95%CI: 0.70–0.86] with a resulting sensitivity 0.80 and a specificity of 0.66. In conclusion, radiomics features of the target lesion and the lung lobe CT-emphysema score are predictive for the occurrence of pneumothorax and need for chest insertion after CT-guided lung biopsy.

Clinical Significance of Combined Density and Deep-Learning-Based Texture Analysis for Stratifying the Risk of Short-Term and Long-Term Breast Cancer in Screening.

Assessing a woman's risk of breast cancer is important for personalized screening. Mammographic density is a strong risk factor for breast cancer, but parenchymal texture patterns offer additional information which cannot be captured by density. We aimed to combine BI-RADS density score 4th Edition and a deep-learning-based texture score to stratify women in screening and compare rates among the combinations. This retrospective study cohort study included 216,564 women from a Danish populations-based screening program. Baseline mammograms were evaluated using BI-RADS density scores (1-4) and a deep-learning texture risk model, with scores categorized into four quartiles (1-4). The incidence rate ratio (IRR) for screen-detected, interval, and long-term cancer were adjusted for age, year of screening and screening clinic. Compared with subgroup B1-T1, the highest IRR for screen-detected cancer were within the T4 category (3.44 (95% CI: 2.43-4.82)-4.57 (95% CI: 3.66-5.76)). IRR for interval cancer was highest in the BI-RADS 4 category (95% CI: 5.36 (1.77-13.45)-16.94 (95% CI: 9.93-30.15)). IRR for long-term cancer increased both with increasing BI-RADS and increasing texture reaching 5.15 (4.31-6.16) for the combination of B4-T4 compared with B1-T1. Deep-learning-based texture analysis combined with BI-RADS density categories can reveal subgroups with increased rates beyond what density alone can ascertain, suggesting the potential of combining texture and density to improve risk stratification in breast cancer screening.

Formation and Texture Analysis of Extrusion-Based 3D Printed Foods Using Nixtamalized Corn and Chickpea Flours: Effect of Cooking Process

Extrusion-based three-dimensional (3D) food printing (3DFP) enhances the customization of 3D-printed foods by using multiple food pastes. Post-printing processes like baking are usually necessary and significantly impact the stability of the 3D-printed foods. This study aimed to produce multi-material 3D-printed foods using nixtamalized corn dough and chickpea paste (CP) in extrusion-based 3DFP and to study the effect of post-printing processes (water oven cooking and steam cooking) and the type of material used (single- or multi-material) on the final appearance, weight, size, and texture of the 3D-printed foods. Multi-material 3D-printed foods were successfully produced using extrusion-based 3DFP. Steam-cooked 3D-printed foods cooked uniformly and had a better appearance, as they did not develop surface cracks compared to water oven-cooked foods. Water-oven cooked foods experienced a greater weight loss of 35.6%, and higher height and length reduction of 1.5% and 8.4%, respectively. Steam-cooked multi-material 3D-printed foods were harder at 40% of strain, with force values of 66.9 and 46.3 N for water-oven cooked foods. Post-printing processes, as well as the presence of CP in the middle of the 3D-printed foods, influenced their final appearance, weight, size, and texture. This study offers interesting findings for the innovative design of chickpea- and corn-based multi-material 3D-printed foods.

Quality and microstructural analysis of chickpea-enriched wheat semolina pasta using X-ray micro-computed tomography

The microstructure of manufactured foods largely governs palatability qualities such as crunchiness, crispness, mouthfeel and texture. While enriching cereal flour with leguminous flour increases its nutritional value, it should not compromise the palatability of the end products. This study investigated the flour blend properties as well as the physical and microstructural characteristics of durum wheat semolina pasta enriched with 50% chickpea flour obtained from single-stage (Ferkar) and multi-stage (roller) mills. Results of the flour blend analysis indicated the influence of milling on the protein, ash and particle size distribution of pasta. High protein chickpea blend showed minimal impact on the microstructure of the pasta. Also, the textural analysis of the pasta samples showed that the hardness and firmness of pasta made with roller-milled flours, specifically reduction and straight-grade flours, were not statistically significantly different (p < 0.05). However, correlating the texture and total porosity indicated that flour from roller mill reduction rolls resulted in pasta with a firmer texture along with a more compact internal and external microstructure. The findings of this study provide useful insight into the quality attributes of chickpea-enriched wheat semolina pasta as influenced by the mill type and stream blend of the chickpea flour.