In the original publication, there was a mistake in Figure 4 as published [...].
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Correction: Rehman et al. Fabrication, In Vitro and In Vivo Assessment of Eucalyptol-Loaded Nanoemulgel as a Novel Paradigm for Wound Healing. 2022, 1971.
Pharmaceutics
December 2024
Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
In the original publication, there was a mistake in Figure 4 as published [...
View Article and Find Full Text PDFDispersionless Nonhybrid Density Functional.
J Chem Theory Comput
January 2025
Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, United States.
A dispersion-corrected density functional theory (DFT+D) method has been developed. It includes a nonhybrid dispersionless generalized gradient approximation (GGA) functional paired with a literature-parametrized dispersion function. The functional's 9 adjustable parameters were optimized using a training set of 589 benchmark interaction energies.
View Article and Find Full Text PDFPreoperative Multivariable Model for Risk Stratification of Hypoxemia During One-Lung Ventilation.
Anesth Analg
November 2024
From the Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Background: Hypoxemia occurs with relative frequency during one-lung ventilation (OLV) despite advances in airway management. Lung perfusion scans are thought to be one of the most accurate methods to predict hypoxemia during OLV, but their complexity and costs are well-known limitations. There is a lack of preoperative stratification models to estimate the risk of intraoperative hypoxemia among patients undergoing thoracic surgery.
View Article and Find Full Text PDFCorrection: Hussain et al. An Epidemiological Survey Regarding Ticks and Tick-Borne Diseases among Livestock Owners in Punjab, Pakistan: A One Health Context. 2021, , 361.
Pathogens
December 2024
Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong, China.
There was an error in the original publication [...
View Article and Find Full Text PDFEnhanced Detection of Colon Diseases via a Fused Deep Learning Model with an Auxiliary Fusion Layer and Residual Blocks on Endoscopic Images.
Curr Med Imaging
January 2025
Department of Electrical Engineering, Government College University, Lahore, Pakistan.
Background: Colon diseases are major global health issues that often require early detection and correct diagnosis to be effectively treated. Deep learning approaches and recent developments in medical imaging have demonstrated promise in increasing diagnostic accuracy.
Objective: This work suggests that a Convolutional Neural Network (CNN) model paired with other models can detect different gastrointestinal (GI) abnormalities or diseases from endoscopic images via the fusion of residual blocks, including alpha dropouts (αDO) and auxiliary fusing layers.
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