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Background: The learning ratio (LR) is a novel learning slope score that has been developed to reduce the inherent competition between the first trial and subsequent trials in traditional learning slopes. In essence, the LR is the number of items learned after the first trial divided by the number of items yet to be learned. Criterion and convergent validation of this LR score is warranted to understand its sensitivity along the Alzheimer's disease (AD) continuum.
Method: The LR metric was calculated for 123 participants from standard measures of memory, including the Hopkins Verbal Learning Test-Revised, Brief Visuospatial Memory Test-Revised, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) list learning, and RBANS story memory. All participants were categorized as normal cognition, mild cognitive impairment (MCI), or AD. LR performances were compared between groups, among other standard memory measures, and with regards to how well they discriminated cognitively impaired from unimpaired samples-and within diagnostic subgroups.
Results: Lower LR scores were observed for the MCI and AD groups than the normal cognition group, with the AD group performing worse than the MCI group for several slope calculations. Lower LR scores were also consistently associated with poorer performances on traditional memory measures. LR scores further displayed excellent receiver operator characteristics when differentiating those with and without cognitive impairment-and MCI from normal cognition. Overall, LR scores consistently outperformed traditional learning slope calculations across all analyses.
Conclusions: This LR score is sensitive to memory dysfunction along the AD continuum, and results offer criterion and convergent validity for use of the LR metric to understand learning capacity.
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http://dx.doi.org/10.1093/arclin/acab023 | DOI Listing |
JMIR Med Educ
September 2025
Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Osianderstraße 5, Tübingen, 72076, Germany, 49 70712985285.
Background: The increasing prevalence of dermatological diseases will pose a growing challenge to the health care system and, in particular, to general practitioners (GPs) as the first point of contact for these patients. In many countries, primary care physicians are supported by teledermatology services.
Objective: The aim of this study was to detect learning effects and gains among GPs through teledermatology consultations (TCs) in daily practice.
Neurol Res
September 2025
Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Objectives: This study aimed to investigate the effects of repeated exposure to sevoflurane as an anesthetic agent during various developmental stages, namely neonatal, preadolescent, and adult, on behavioral, synaptic, and neuronal plasticity in male and female Wistar rats.
Methods: Rats were exposed to sevoflurane during three developmental stages: neonatal (PN7), pre-adolescence (PN28), and adulthood (PN90). Behavioral performance was evaluated with the Morris Water Maze.
Knee Surg Sports Traumatol Arthrosc
September 2025
Department of Surgery, Division of Orthopaedic Surgery, McMaster University, Hamilton, Ontario, Canada.
Purpose: This analysis evaluated whether logistic regression and machine learning models could predict achievement of the minimal clinically important difference (MCID) for the International Hip Outcome Tool (iHOT-12) and Hip Outcome Score (HOS) at 6 and 12 months following hip arthroscopy.
Methods: Data from the multicenter Femoroacetabular Impingement RandomiSed controlled Trial and its embedded prospective cohort were used. A total of 309 patients (mean ± SD age 34.
Environ Monit Assess
September 2025
Department of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 713104, India.
To a large extent, the food security and ecological balance of a region, particularly in agriculturally dominated areas, largely depend on the sustainable use and management of groundwater resources. However, in recent times, both natural and human-driven factors have heavily impacted the lowering of groundwater resources. Therefore, the present study has been carried out in a drought-prone region of Birbhum district, part of the red-lateritic agro-climatic zone of West Bengal, Eastern India, to delineate groundwater potential zones (GWPZs).
View Article and Find Full Text PDFBidens macroptera symbolizes the change of a season, marking the transition from the rainy season to autumn, heralding the new year for Ethiopians. Despite a general understanding of its geographic regions, significant gaps remain in identifying the habitat distribution and key predictor variables of Bidens macroptera through species distribution modeling (SDM) in the context of climate change. We developed an ensemble species distribution model using 2 statistical and 3 machine learning algorithms.
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