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Author Correction: Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area
Correlation between imaging features of pure ground-glass opacities and pathological subtypes of lung minimally invasive adenocarcinoma and precursor lesions
Comparison of monovision surgery using ICL V4c or femtosecond laser LASIK for myopia correction in the presbyopia age patients
Three AI-powered steps to faster, smarter peer review
Thermal conductivity of high latitude lunar regolith measured by Chandra’s Surface Thermophysical Experiment (ChaSTE) onboard Chandrayaan 3 lander
Generation of isolated attosecond pulses in CdS semiconductor using polarization gating technique and tailored two-color pulse system
Sentiment analysis of emoji fused reviews using machine learning and Bert
Risk factors for iliac limb migration after endovascular infrarenal aortic repair
Abstract This study investigated anatomical and procedural factors influencing iliac limb migration and its correlation with late type 1b and type 3 endoleaks. We analyzed data of 141 iliac limbs from 91 patients who underwent endovascular aneurysm repair for infrarenal abdominal aortic aneurysm between 2005 and 2017. Iliac limb migration was measured using initial and follow-up computed tomography angiography scans conducted at least three years post-procedure, with significant migration defined as a change of ≥ 5 mm. The iliac limbs were classified into Group 1 (G1; n = 34 limbs, 26 patients) with significant migration and Group 2 (G2; n = 107 limbs, 65 patients) without significant migration. The median follow-up periods were 70.5 months (interquartile range 49.7–91.8 months) for G1 and 57.6 months (interquartile range 44.2–73.2 months) for G2. Multivariable analysis confirmed that significant migration correlated with larger common iliac artery (CIA) diameters and lower iliac limb oversizing. Significant iliac limb migration was associated with a higher risk of type 1b endoleak development. Our findings suggest that careful iliac limb oversizing is essential for patients with a CIA diameter > 20 mm, and vigilant monitoring of the iliac landing zone is crucial during postoperative surveillance.
Current prevalence of hepatitis delta diagnosis in Valencia, Spain
Author Correction: Dynamics of CD44+ bovine nucleus pulposus cells with inflammation
Regional computing approach for educational big data
How AI can achieve human-level intelligence: researchers call for change in tack
A novel approach to wind energy modeling in the context of climate change at Zaafrana region in Egypt
Abstract Global warming, driven by the excessive emission of greenhouse gases from the combustion of fossil fuels, has emerged as a critical environmental challenge which is considered as a motivation for this research. Where, the switch to sustainable energy sources is crucial because of the pressing need to slow down climate change and lower carbon footprints. Of all the renewable energy sources, wind energy is particularly important as a means of reducing carbon emissions from the generation of electricity. With the increase in the penetration of renewable energy resources in electrical power systems, the stochastic behavior of the renewable energy resources has to be taken into account for better analysis in power systems. However, the stochastic behavior of the renewable energy is also affected by the environmental conditions. In this context, The main objective of this paper is to present a novel wind energy modeling that includes the effect of ambient temperature on the wind turbine capabilities. This effect is presented as the de-rating curve for wind turbine output power to respect the thermal capabilities of the electrical components of the wind turbine. That’s why this novel model is developed to consider the effect of ambient temperature to represent the practical limitations of wind turbines which wasn’t considered by previous literature although the temperature has a siginicant impact on the wind turbine output power. In this Paper, Gamesa G80 wind turbine is used to perform the numerical analysis of the proposed new model. Moreover, Exponential Distribution Optimizer (EDO), Aquila Optimizer (AO), and Equilibrium Optimizer (EO) algorithms are used to find various probability distribution functions (PDFs) parameters to model wind speed data from Zaafrana region in Egypt using Root Mean Square Error (RMSE) and Coefficient of Correlation (R^2) as judging criteria. In addition, real temperature data from the same site are used to validate the proposed model compared to the manufacturer’s capabilities. The results show that mixed PDFs provide a better representation for the wind speed data. Moreover, the study demonstrates that ambient temperature cannot be neglected in wind power modeling, as the wind turbine output power varies significantly. Additionally, this work highlights the impact of climate change on the efficiency of renewable energy sources like the wind energy. The proposed wind energy model could be valuable to system operators as a decision-making aid when dealing with and analyzing complex power systems.
X-ray microscopy and talbot imaging with the matter in extreme conditions X-ray imager at LCLS
Daily briefing: US scientists rise up against Trump’s efforts to dismantle federal science
Expression of cold-inducible RNA-binding protein in mouse spinal cord injury model
Objective To investigate the changes of Cold-Inducible RNA-Binding Protein (CIRBP) expression in mouse spinal cord injury model. Methods Seventy-five female C57BL/6 mice were randomly divided into five groups, 15 mice per group. According to different degrees of spinal cord injury, they were divided into Mild spinal cord injury, Moderate spinal cord injury, Severe spinal cord injury, Spinal cord amputation group, and Sham surgery group, all constructed with spinal cord percussion. All groups were dissected 1, 3, 5, 14, and 21 days after modeling. HE staining was used to observe the pathological changes in the spinal cord, The Basso mouse scale (BMS) was used for motor function scoring, and immunofluorescence was used to detect the expression of NeuN, IBA-1, and CIRBP in spinal cord tissues. Results HE results showed that inflammation was more pronounced in moderate, severe, and amputation injuries compared to the Sham surgery group. Moderate injury group and Severe injury group inflammation increased consistently over time. The severe injury group had severe tissue structure destruction and increased astrocytes significantly. Combined with the mouse BMS motor function score, the mouse severe injury group model was more stable. Compared with the Sham surgery group, there was a significant decrease in NeuN over time (P < 0.01) and a significant increase in IBA-1 and CIRBP (P < 0.01) in the severe injury group. Moreover, IBA-1 has significant co-localization with CIRBP. Conclusion CIRBP expression is significantly elevated in a mouse spinal cord injury model, Which may be related to the proliferation of microglia during spinal cord injury.