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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques.
PLoS One
January 2025
Faculty of Science and Engineering, School of Computer Science, University of Hull, Hull, United Kingdom.
Mold defects pose a significant risk to the preservation of valuable fine art paintings, typically arising from fungal growth in humid environments. This paper presents a novel approach for detecting and categorizing mold defects in fine art paintings. The technique leverages a feature extraction method called Derivative Level Thresholding to pinpoint suspicious regions within an image.
View Article and Find Full Text PDFDevelopment of a nomogram model to predict postoperative urinary retention risk after transabdominal preperitoneal inguinal hernia repair.
ANZ J Surg
January 2025
Department of General Surgery, Digestive Disease Hospital, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Objective: To explore independent risk factors and to establish a predictive model for postoperative urinary retention (POUR) following transabdominal preperitoneal inguinal hernia repair (TAPP).
Methods: Between January 2017 and December 2023, 598 patients with inguinal hernia who underwent TAPP at the General Surgery Department of Zunyi Medical University Affiliated Liupanshui Hospital were enrolled in the study. Participants were randomly divided into training and validation sets (7:3 ratio).
Integrating a greener RP-HPLC method and chemical pattern recognition for the identification of L. and its common adulterants in Indian markets.
Anal Methods
January 2025
Pharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, UP, 226001, India.
This work deals with the development of a greener RP-HPLC method and chemical pattern recognition for the identification of L. collected from different natural sources and samples traded as '' in Indian herbal drug markets. The simultaneous quantification of α- and β-asarone was performed using 0.
View Article and Find Full Text PDFDevelopment and validation of a self-report adaptability measure for the military remote operations community.
Mil Psychol
January 2025
NeuroStat Analytical Solutions, LLC, Great Falls, Virginia, USA.
Building on emerging literature, a new self-report inventory was developed to assess multiple psychological attributes relevant to adaptability in remote warriors. Literature search backed by surveys of military and psychological experts identified 32 attributes for self-report scale development. Items were sorted reliably into targeted dimensions (67.
View Article and Find Full Text PDFDevelopment and Validation of the Scale of Hypoglycemia Self-Care Behavior in Type 2 Diabetes.
Nurs Res
January 2025
Kaohsiung Medical University, College School of Medicine, Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung, Taiwan.
Background: Inappropriate dietary, exercise, and medication self-care behaviors among persons with diabetes can easily trigger hypoglycemia. Clinically, it is necessary to quickly identify high-risk groups for hypoglycemic events to provide targeted hypoglycemia education. However, there is currently a lack of precise tools to assess self-care behaviors related to hypoglycemia.
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