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Long term health related quality of life among individuals after COVID 19 recovery in a multicentric community based study
Rapid thrombogenesis prediction in COVID-19 patients using DNN with data labeling
PROTAC SERD vepdegestrant outperforms fulvestrant for advanced-stage ER+HER2− breast cancer harbouring acquired ESR1 mutations
Detection of cavities in a salt mine with cosmic muons: expected results and first data
EMT and cancer: what clinicians should know
Recognizing Egyptian currency for people with visual impairment using deep learning models
Abstract This study presents a novel real-time Egyptian currency recognition system designed to assist visually impaired individuals in performing financial transactions independently and securely. The system leverages advanced deep learning models—YOLOv8, YOLOv9, and YOLOv10 to achieve high accuracy and low latency in identifying Egyptian banknotes. Evaluated on a comprehensive dataset of 2,000 annotated images, the models incorporate innovations such as context aggregation, GELAN, and NMS-free training to enhance performance. A review of prior systems highlights their limitations, especially concerning regional currencies. YOLOv10 achieved the best performance, with a precision of 0.9678, F1 score of 0.9715, and mAP@0.5 of 0.9934, surpassing both YOLOv8 and YOLOv9. Compared to traditional techniques, this approach offers significant improvements in accuracy and processing speed, providing a scalable and practical solution for accessible AI applications. These contributions promote financial independence and inclusion for visually impaired users, supporting ongoing advances in assistive technology.
The potential use of scout views as an adjunct tool in CT-guided intervention
Abstract The objective of this study was to evaluate the use of scout views as an adjunct tool in CT-guided intervention. Therefore, different devices used for interventional procedures were assigned to three different groups and placed onto an Alderson phantom. Different body diameters were simulated by adding PMMA/aluminum plates. Multiple scout views (ap) were acquired using a standard CT-scanner with different scan parameters. The visibility of the devices was semi-quantitatively scored by three readers. The interrater reliability was calculated using the intraclass correlation coefficient (ICC). The detectability of the 11 different interventional devices was calculated depending on tube potential, tube current–time product, and the thickness of the additional tissue equivalent. Statistical significance was evaluated using Wilcoxon signed-rank test (with Pratt modification) and the Mann–Whitney-U test, respectively. The ICC over all measurements for the three readers as well as the ICC for the three different devices groups was regarded excellent (> 0.9). The device detectability was significantly different for the different additional tissue thicknesses as well as for the three device groups. Material detectability over all readers improved with higher doses. Defining a median visibility of 3 (“good”) or 4 (“very good”) as a cut-off value for clinical routine use, we consider a combination of ≥ 80kVp / ≥ 60 mAs or ≥ 90 kVp / ≥ 40 mAs as reasonable scan parameters in normal and overweight patients in our CT setup. In conclusion, CT scout views have a potential use as an additional tool in CT-guided-intervention by enabling fluoroscopy-like planar imaging that may help to visualize dynamic events such as contrast injection or guidewire manipulation.
Patient-reported outcomes and functional recovery after carpal tunnel surgery in a developing health care system: insights from clinical practice
Therapeutic targeting of mismatch repair-deficient cancers
Amyloid β-peptide multimer expressed in green algae efficiently inhibits bacteria growth by disrupting cell membrane permeability
Emergent Ferromagnetism and Spin Gapless Conductivity in Atomically Thin Co<sub>3</sub>Sn<sub>2</sub>S<sub>2</sub> Nanosheets
Finite element analysis of lateral pressure variations in square steel silos considering parametric impacts
Abstract This study develops and validates a 3-D finite-element model for lateral pressures in square, flat-bottomed steel silos, challenging the applicability of conventional design methods. The model, using Mohr–Coulomb for wheat and surface-to-surface contact, closely matches observed pressures and demonstrates that slenderness h/a determines the pressure regime: Janssen-type asymptotic profiles in slender silos (h/a ≥ 7.5) change to Rankine-type linear profiles in squat silos (h/a ≤ 1.5). Therefore, using slender-silo formulae for squat designs may lead to inaccurate estimations of base pressures. A parametric study evaluates material influences: lateral pressure is significantly affected by Poisson’s ratio (raising from 0.28 to 0.45 more than doubles base pressure, + 110%) and wall friction µ, while it shows little sensitivity to Young’s modulus and cohesion. These results provide design-oriented recommendations for the safe and cost-effective sizing of silos across various geometries and granular materials.