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Synergy between culturomics and metagenomics of health status-associated gut bacteria originating from non-IBD and IBD populations
Quantitative and longitudinal monitoring of cancer cell invasion in a three-dimensional in vitro model of oral cancer using optical coherence tomography
Abstract We previously developed a three-dimensional (3D) organotypic culture model of oral squamous cell carcinoma (OSCC) by incorporating cancer-associated fibroblasts to replicate oral tissue architecture and the tumor microenvironment (TME). This model provides a relevant platform for investigating cancer cell invasion. Optical coherence tomography (OCT), a noninvasive, high-resolution imaging technique, enables both real-time and longitudinal observations. This study assessed the applicability and feasibility of combining OCT with deep learning for the quantitative, longitudinal monitoring of cancer cell invasion in our 3D model. OCT effectively captured cross-sectional images and identified three regions—original cancer cell region, invasive cancer cell region, and stromal layer—based on scattering intensity and optical density, demonstrating nondestructive visualization of tissue microarchitecture. Sequential OCT imaging facilitated 3D image reconstruction and repeated monitoring. Planimetric and volumetric analyses of 3D OCT images revealed internal structural alterations and enabled comparative evaluation of invasion behaviors across OSCC cell types, TME conditions, and culture durations. Moreover, the invasiveness parameter obtained from 3D OCT images strongly correlated with histomorphometric-based data, confirming its reliability. These findings support the use of OCT imaging as a promising tool for noninvasive, quantitative assessment of invasiveness in organotypic cancer models.
The Internet is broken and the inventor of the World Wide Web wants to fix it
Unveiling faking in job interviews by examining facial thermal cues in deception detection
Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss
Chasing crayfish and the leeches that live on them
Development and validation of nomogram and machine learning models to predict sarcopenia in patients with chronic kidney disease
Impact of skin tone and cupping on erythema and thermal imaging measurements
Abstract Erythema is commonly assessed to detect early signs of pressure injuries (PrIs). Thermography has emerged as a promising tool for PrI detection; however, correlations between temperature changes and erythema have not been consistent across skin tones. This study evaluated whether thermography and colorimetry could track temperature and erythema changes following cupping across diverse skin tones. Tissue changes were induced over a bony prominence using a cupping device at − 30 kPa for 5 min. Thermal images and colorimeter measurements were collected immediately after cupping and at one-minute intervals for seven minutes. Temperature at the cup rim increased 0.37 °C before returning to baseline while temperature dropped significantly at the cup center (− 0.54 °C), returning to baseline after 3–4 min. Erythema index increased immediately post-cupping (1.49 c.u.) and remained elevated throughout the seven-minute period. Neither temperature nor erythema changes varied by BMI or sex. Only erythema differed significantly across skin tone categories ( p < 0.001). Regional variation in temperature responses suggests compressive and tensile stresses may generate distinct tissue effects with clinical relevance. Thermal imaging can identify subtle tissue changes not apparent during visual assessment, supporting its use as a complement to clinical evaluation for PrI prevention.
Experimental study on phosphorus removal performance from water by SW-ceramsite in a fixed-bed column
Agronomic performance of the first ratoon of sugarcane under phosphorus supply from a mineral and an organic source
What is the future of intelligence? The answer could lie in the story of its evolution
Optimal shape of additively manufactured magnetic cores
The oldest “brown mesophotic” coral-stromatoporoid ecosystem from the Silurian of Gotland was functionally similar to modern turbid reefs
Abstract Coral reefs generally thrive under high light conditions. As light decreases with depth, corals may adapt their morphology to optimise light capture. However, these same changes in morphology (e.g., platy forms) may also occur in response to light attenuation caused by turbidity within shallow waters. In the fossil record the occurrence of turbid shallow-water ecosystems has been largely restricted to the Meso- and Cenozoic. Only a single example of an ecosystem functionally analogous to modern turbid reefs has been identified from the Palaeozoic (Devonian). Here we report a Silurian (~ 425 Ma) reef ecosystem from Gotland, Sweden, composed predominantly of platy tabulate corals. Sedimentological data suggest shallow depths, high sedimentation rates and an unconsolidated substrate. We interpret the Gotland reef to be functionally similar to modern turbid reefs, making it the oldest known turbid reef system, extending records by nearly 40 million years. This suggests that platy growth forms and colonies similar to modern funnel-shaped forms first emerged during the Silurian as a novel strategy that facilitated coral expansion in turbid, low-light environments. The recurrence of these forms across geological time suggests strong functional convergence driven by similar environmental pressures, evolving at least twice in both tabulate and scleractinian corals.
Hydrogen fuel isn’t always the green choice
Cas9 senses CRISPR RNA abundance to regulate CRISPR spacer acquisition
Synthesis, application and modelling of spherical magnetic silicon poly-N,N′-methylenebisacrylamide nanocomposite for effective copper removal from water
Abstract In this work, a new spherical magnetic silicon-substituted poly ( N , N ’-methylenebisacrylamide) (NSM) nanocomposite was synthesized, examined by various known instruments and applied as an adsorbent to eliminate copper (Cu 2+ ) from its water solution using batch method experiment. The particles size of NSM composite was ranged from around 24.74 to 28.27 nm. The magnetic NSM nanocomposite are mesoporous, with specific surface area of 63.675 m 2 g –1 and an average pore diameter of 7.6239 nm. The adsorption of Cu 2+ ions was most efficient at a solution pH 5. The removal process using NSM nanocomposite has been studied in various settings, including initial Cu 2+ ion concentration, initial pH, and temperature. Using an initial Cu 2+ ions concentration (50 mg L –1 ) and NSM nanocomposite dose (2.0 g L –1 ), the maximum percent clearance of Cu 2+ ions was 96.47%. The NSM’s maximum adsorption capacity ( Q m ) was 30.30 mg g –1 . Experimental data were discussed using the Langmuir (LIM), Freundlich (FIM), and Tempkin (TIM) isotherm models. The experimental data from NSM aligns effectively with the LIM model. Several error functions, such as Chi-Squared Error (X 2 ), Average Percent Error (APE), Root Mean Square (RMS), Sum of Absolute Errors (EABS), Hybrid Error Function (HYBRID), and Marquardt’s Percent Standard Deviation (MPSD), were applied to validate the isotherm model data. Calculations of the error function suggest that the LIM is the most appropriate for characterizing the adsorption process. Kinetic data were analyzed by fitting pseudo-first-order (PFOM), pseudo-second-order (PSOM), intraparticle diffusion (IPDM) and film diffusion (FDM) models. The PSOM rate model exhibited a robust correlation ( R 2 > 0.998) and predominantly governed the adsorption rate. The results show that NSM effectively removes the Cu 2+ ions from water. Utilizing a response surface methodology analysis to optimize the degradation parameters revealed that a maximum degradation percentage of 52.56 ppm of Cu 2+ solution and 3.79 g of NSM could be achieved.