In: International journal of psychophysiology, 2021, vol. 167, p. 77-85
Study objectives: We tested the hypothesis that patients with extreme sleep state misperception display higher levels of psychopathology and reduced quantitative estimation abilities compared to other patients with insomnia. Secondary aims included the evaluation of group differences in subjective self-reported quality of life and sleep quality and objective sleep parameters. Methods: In this...
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In: Brain sciences, 2020, vol. 10, no. 10, p. 22
Pediatric surveillance through screening procedures is needed to detect warning signs of risk for Autism Spectrum Disorder under 24 months of age and to promote early diagnosis and treatment. The main purpose of this study is to extend the literature regarding the psychometric properties of two screening tools, the First Year Inventory (FYI) and the Quantitative- CHecklist for Autism in Toddler...
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In: Marine drugs, 2020, vol. 18, no. 12, p. 28
The marine environment is a rich source of biologically active molecules for the treatment of human diseases, especially cancer. The adaptation to unique environmental conditions led marine organisms to evolve different pathways than their terrestrial counterparts, thus producing unique chemicals with a broad diversity and complexity. So far, more than 36,000 compounds have been isolated from...
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In: Administrative sciences, 2021, vol. 11, no. 4, p. 17
In this study, we investigate the consequences of organizational change that consist of adding new categories to the portfolio of humanitarian organizations. Our aim is to discern differences in these consequences between specialist and generalist organizations. Previous research has shown that spanning categories lead to disadvantages in the evaluation of organizations by audience members in...
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In: Personality and individual differences, 2022, vol. 185, p. 10
The personality trait of neuroticism (N) has consistently shown to be a risk factor for Internet Addiction (IA). Review literature, however, looked at this in bivariate analyses only. To the best of our knowledge, we conducted the first review that systematically and conceptually summarized results based on the inclusion of additional factors, thus coming closer to the complex nature of the ...
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In: Journal of systems and software, 2021, vol. 182, p. 14
Code comments are the primary means to document implementation and facilitate program comprehension. Thus, their quality should be a primary concern to improve program maintenance. While much effort has been dedicated to detecting bad smells, such as clones in code, little work has focused on comments. In this paper we present our solution to detect clones in comments that developers should...
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In: Cancers, 2021, vol. 13, no. 19, p. 18
Artificial intelligence (AI) uses mathematical algorithms to perform tasks that require human cognitive abilities. AI-based methodologies, e.g., machine learning and deep learning, as well as the recently developed research field of radiomics have noticeable potential to transform medical diagnostics. AI-based techniques applied to medical imaging allow to detect biological abnormalities, to...
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In: Journal of clinical medicine, 2021, vol. 10, no. 17, p. 13
We set out to measure the health literacy (HL) of COPD patients using the Short Test of Functional Health Literacy (S- TOFHLA), perception-based screening questions (BHLS), and a specific disease knowledge test (COPD-Q). Our main focus is the relationship between functional HL and patients’ disease-knowledge, which contributes to the clarification of the relationship between the different...
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In: System dynamics review, 2021, vol. 37, no. 2-3, p. 155-196
Benefiting from historically favorable conditions (e.g. low costs, fertile land, and abundant water), pistachio producers in Rafsanjan, Iran, have flourished, with pistachio orchards and production growing dramatically since the 1970s. Today, however, the enormous increase in water consumption associated with pistachio production has severely depleted groundwater aquifers, causing widespread...
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In: Algorithms, 2021, vol. 14, no. 9, p. 25
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...
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