In two experiments, the effects of presenting a conspecific on the simultaneous and subsequent acquisition of an operant were investigated. Experiment 1 indicated that albino rats which had a conspecific merely present in a nearby chamber did not learn as quickly as did those which were alone or those which observed a trained model displaying the operant. Experiment 2 indicated that subsequent to observing a model displaying the operant, Long-Evans rats learned more quickly than either the alone or mere-presence control. The findings suggest that the presence of a conspecific may serve both interfering and perceptual/cognitive functions during observational learning.
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http://dx.doi.org/10.1080/00221309.1983.9711484 | DOI Listing |
Br J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFViruses
December 2024
Life Sciences, Health, and Engineering Department, The Roux Institute, Northeastern University, Portland, ME 04101, USA.
JC polyomavirus (JCPyV) establishes a persistent, asymptomatic kidney infection in most of the population. However, JCPyV can reactivate in immunocompromised individuals and cause progressive multifocal leukoencephalopathy (PML), a fatal demyelinating disease with no approved treatment. Mutations in the hypervariable non-coding control region (NCCR) of the JCPyV genome have been linked to disease outcomes and neuropathogenesis, yet few metanalyses document these associations.
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
This study sought to identify predictors for peripartum patients admitted to non-intensive care wards who later upgraded to the Intensive Care Unit (ICU). This was a retrospective observational study of patients admitted to the Maternal Fetal Ward between 01/2017 and 12/2022, who later upgraded to the ICU. Upgraded patients were 1:1 propensity score matched with those who remained on the Maternal Fetal Ward (control).
View Article and Find Full Text PDFChildren (Basel)
December 2024
Pediatric Surgery Department, IRCCS Azienda Ospedaliero, Universitaria di Bologna, Via Massarenti 11, 40138 Bologna, Italy.
Background: In pediatric surgery, a comprehensive knowledge of the child's anatomy is crucial to optimize surgical outcomes and minimize complications. Recent advancements in medical imaging and technology have introduced innovative tools that enhance surgical planning and decision-making.
Methods: This study explores the integration of mixed reality technology, specifically the HoloLens 2 headset, for visualization and interaction with three-dimensional (3D) anatomical reconstructions obtained from computed tomography (CT) scans.
Diagnostics (Basel)
January 2025
Department of Regulatory Science, College of Pharmacy, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
: Earlier detection of severe immune-related hematological adverse events (irHAEs) in cancer patients treated with a PD-1 or PD-L1 inhibitor is critical to improving treatment outcomes. The study aimed to develop a simple machine learning (ML) model for predicting irHAEs associated with PD-1/PD-L1 inhibitors. : We utilized the Observational Medical Outcomes Partnership-Common Data Model based on electronic medical records from a tertiary (KHMC) and a secondary (KHNMC) hospital in South Korea.
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