This paper presents a detailed single-case study of a patient (BT) with dementia of the Alzheimer's type who showed impairments in number processing. Numeral comprehension and calculation abilities were largely preserved but the patient encountered substantial difficulties in transcoding tasks. In addition to syntactic errors, she produced numerous perseverations and intrusion errors, especially when she had to transcode arabic numerals into written verbal numerals and vice versa. In the present study, we show that these errors are concomitant with but not dependent on the syntactic deficit. We also demonstrate that their production is not exclusive to the numerical domain but clearly depend on the attentional processing load as well as on the familiarity of the transcoding task. To account for these data, we suggest that perseverations and intrusion errors are attentional in nature and originate from a unique impairment in selective attention capacities.
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http://dx.doi.org/10.1080/02643290244000059 | DOI Listing |
Sensors (Basel)
December 2024
PIMM Research Laboratory, UMR 8006 CNRS-ENSAM-CNAM, Arts et Metiers Institute of Technology, 151 Boulevard de l'Hôpital, 75013 Paris, France.
This work introduces a novel methodology for identifying critical sensor locations and detecting defects in structural components. Initially, a hybrid method is proposed to determine optimal sensor placements by integrating results from both the discrete empirical interpolation method (DEIM) and the random permutation features importance technique (PI). Subsequently, the identified sensors are utilized in a novel defect detection approach, leveraging a semi-intrusive reduced order modeling and genetic search algorithm for fast and reliable defect detection.
View Article and Find Full Text PDFMicromachines (Basel)
October 2024
Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute Co., Ltd., Beijing 102209, China.
In order to reduce the influence of coupling capacitance variations on cable voltage measurement, this paper proposes a self-compensating non-intrusive ring-type AC voltage sensor based on capacitive coupling. A theoretical model of the sensor was established, and the influence of parasitic capacitance changes on sensor output was analyzed. Furthermore, a theoretical analysis shows that the parasitic capacitance between the external cable and the sensing probe, as well as between the ground and the sensing probe, will significantly affect the sensitivity of the sensor and increases the measurement error.
View Article and Find Full Text PDFJ Alzheimers Dis
November 2024
School of Medicine, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
This commentary focuses on the clinical utility of plasma amyloid-β (Aβ) 42/40 to detect semantic intrusion errors in amnestic mild cognitive impairment, as investigated Curiel Cid et al. in a recent issue of the . This commentary highlights the importance of testing the sensitivity of plasma Aβ to clinical symptoms in the quest to develop a comprehensive definition of AD that incorporates both biological precursors and clinical consequences.
View Article and Find Full Text PDFSensors (Basel)
October 2024
Department of Civil Engineering, Universidad de Castilla-La Mancha, Av. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.
Underground mines are considered one of the riskiest facilities for human activities due to numerous accidents and geotechnical failures recorded worldwide over the last century, which have resulted in unsafe labor conditions, poor health outcomes, injuries, and fatalities. One significant cause of these accidents is the inadequate or nonexistent capacity for the real-time monitoring of safety conditions in underground mines. In this context, new emerging technologies linked to the Industry 4.
View Article and Find Full Text PDFAm J Clin Nutr
November 2024
Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana. Electronic address:
Background: Gaps persist in the data on diets and on the validity of dietary assessment methods in youth in low-income and middle-income countries (LMICs) due to costs constraints. Although computer vision-assisted dietary assessment tools have been proposed, limited evidence exists on their validity in LMICs.
Objectives: This study aimed to validate FRANI (Food Recognition Assistance and Nudging Insights), a mobile phone application with computer vision-assisted dietary assessment, against weighed records (WRs) and compare with 24-h recalls (24HR), in female youth in Ghana.
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