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http://dx.doi.org/10.1016/j.ajp.2022.103208 | DOI Listing |
J Family Med Prim Care
December 2024
Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India.
Background: The imposter phenomenon (IP) involves feelings of intellectual fraudulence and phoniness in challenging new roles. IP feelings are associated with low self-esteem and anxiety in nursing students, especially during transition or early stages of nursing training. This research aims to find out the prevalence of IP and its relation with self-esteem and anxiety among nursing undergraduates.
View Article and Find Full Text PDFFront Artif Intell
November 2024
Faculty of Management, Royal Roads University, Victoria, BC, Canada.
Introduction: This study investigates the application of machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict financial distress in companies. Given the critical need for reliable financial health indicators, this research evaluates the predictive capabilities of various ML techniques on firm-level financial data.
Methods: The dataset comprises financial ratios and firm-specific variables from 464 firms listed on the TSX.
PLoS One
November 2024
Department of Human Development and Family Science, Auburn University, Auburn, AL, United States of America.
Crit Rev Anal Chem
October 2024
Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, China.
Camellia oil is a high-value edible seed oil, recommended by the Food and Agriculture Organization (FAO). It is essential to develop accurate and rapid analytical methods to authenticate camellia oil due to its susceptibility to adulteration. Recently, hyphenated chromatography-mass spectrometry, especially high-resolution mass spectrometry using chemometrics, has become a promising platform for the identification of camellia oil.
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September 2024
Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.
Background: The mislabeling of seafood, wherein a food product's marketed name does not match its contents, has the potential to mask species of conservation concern. Less discussed is the role of legally ambiguous market names, wherein a single name could be used to sell multiple species. Here we report the first study in Canada to examine mislabeling and ambiguous market names in both invertebrate (.
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