In a recently published guideline for evaluative reporting in forensic science, the European Network of Forensic Science Institutes (ENFSI) recommended the use of the likelihood ratio for the measurement of the value of forensic results. As a device to communicate the probative value of the results, the ENFSI guideline mentions the possibility to define and use a verbal scale, which should be unified within a forensic institution. This paper summarizes discussions held between scientists of our institution to develop and implement such a verbal scale. It intends to contribute to general discussions likely to be faced by any forensic institution that engages in continuous monitoring and improving of their evaluation and reporting format. We first present published arguments in favour of the use of such verbal qualifiers. We emphasise that verbal qualifiers do not replace the use of numbers to evaluate forensic findings, but are useful to communicate the probative value, since the weight of evidence in terms of likelihood ratio are still apprehended with difficulty by both the forensic scientists, especially in the absence of hard data, and the recipient of information. We further present arguments that support the development of the verbal scale that we propose. Recognising the limits of the use of such a verbal scale, we then discuss its disadvantages: it may lead to the spurious view according to which the value of the observations made in a given case is relative to other cases. Verbal qualifiers are also prone to misunderstandings and cannot be coherently combined with other evidence. We therefore recommend not using the verbal qualifier alone in a written statement. While scientists should only report on the probability of the findings - and not on the probability of the propositions, which are the duty of the Court - we suggest showing examples to let the recipient of information understand how the scientific evidence affects the probabilities of the propositions. To avoid misunderstandings, we also advise to mention in the statement what the results do not mean. Finally, we are of the opinion that if experts were able to coherently articulate numbers, and if recipients of information could properly handle such numbers, then verbal qualifiers could be abandoned completely. At that time, numerical expressions of probative value will be appropriately understood, as other numerical measures that most of us understand without the need of any further explanation, such as expressions for length or temperature.
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http://dx.doi.org/10.1016/j.scijus.2016.05.009 | DOI Listing |
Quantifying cognitive potential relies on psychometric measures that do not directly reflect cortical activity. While the relationship between cognitive ability and resting state EEG signal dynamics has been extensively studied in children with below-average cognitive performances, there remains a paucity of research focusing on individuals with normal to above-average cognitive functioning. This study aimed to elucidate the resting EEG dynamics in children aged four to 12 years across normal to above-average cognitive potential.
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January 2025
Faculty of Medicine History of Medicine and Ethics Department, Yuksek Ihtisas University, Ankara, Turkey.
Ethics education plays a crucial role in enhancing the ethical sensitivity of nursing students. This study aimed to assess the impact of an ethics course on the ethical sensitivity levels of nursing students. In this study, one-group pretest-posttest semi-experimental design method is used.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008.
Objectives: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Prior research suggests that genetic susceptibility and environmental exposures, such as maternal preeclampsia (PE) during pregnancy, play key roles in ASD pathogenesis. However, the specific effects of the interaction between genetic and environmental factors on ASD phenotype severity remain unclear.
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December 2024
Cognitive Neuroscience Center, University of San Andrés, Victoria, Buenos Aires, Argentina.
Background: Beyond dementia syndromes, cognitive symptoms are highly prevalent in Parkinson's disease (PD), often manifesting as mild cognitive impairment (MCI). Yet, their detection and characterization remain suboptimal because standard approaches rely on subjective impressions derived from lengthy, univariate tests. Here we introduce a novel approach to detect cognitive symptom severity and identify MCI in PD using fully automated word property analyses on brief verbal fluency tasks.
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December 2024
Healthy Aging & Alzheimer's Research Care (HAARC) Center, Healthy Aging & Alzheimer's Research Care (HAARC) Center, The University of Chicago, Chicago, IL, USA.
Background: Memory decline in late life is a common hallmark of aging, yet SuperAgers are individuals age 80+ with episodic memory performances at least as good as cognitively average 50-to-60-year-olds. Recent work, combining anatomical and functional MRI, has shown the precise boundaries of large-scale resting state networks vary at the individual level. Further, the use of person-specific rather than standard parcellations has led to more behaviorally meaningful associations, and has not been explored in SuperAgers.
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