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Objectives: This study investigated the effect of learning by observation on the development of fine motor skills related to endodontic manual instrumentation. We evaluated if learning by observation with guidance had any influence upon operator performance under tense or taxing conditions.
Materials And Methods: Dental students prepared standardized simulated root canals of varying morphology. Learning involved silent video with hand guidance ( = 23), audiovisual combined with oral instructions ( = 23), or silent video ( = 13). Undergraduates who previously completed conventional preclinical endodontics provided comparative data as a control group ( = 16). During investigations, a root canal of a lower molar plastic tooth was shaped, beginning with a primary task, and followed by multitasking conditions. The performance of the students was assessed by evaluating the accuracy of dental canal shaping and time taken to complete the task.
Statistical Analysis: Differences were analyzed using ANOVA ( < 0.05).
Results: Performance was similar during learning between the three experimental groups. Accuracy of the performance did not differ within each group for the two tests nor between the groups at each test ( > 0.05).
Conclusions: These findings demonstrated that performance subsequent to learning by observation without instructions was comparable to learning with instructed observation. The results also identified that the performance of the experimental group (1.5- to 2-hour practice) was comparable with the conventional control group (15- to 20-hour practice). Alternative approaches to learning dexterity skills in dentistry may provide improved outcomes, especially in demanding situations.
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http://dx.doi.org/10.1055/s-0042-1743155 | DOI Listing |
CNS Neurosci Ther
September 2025
College of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Background: Neurological diseases such as stroke or Parkinson's disease are often accompanied by weakening or loss of proprioception, which seriously affects the motor control ability of the patients. However, proprioception rehabilitation is challenging due to the pain caused by impaired joints and the hard efforts that patients have to make during training. This study investigated the cross-transfer effect of short-term visuomotor training to the untrained wrist from the trained wrist, from both views of behavioral results and brain activity analyses.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Purpose: To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight MRA (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time-consuming acquisition of high-resolution, whole-head angiograms.
Methods: A novel few-shot learning-based reconstruction framework is proposed, featuring a 3D variational network specifically designed for 3D TOF-MRA that is pre-trained on simulated complex-valued, multi-coil raw k-space datasets synthesized from diverse open-source magnitude images and fine-tuned using only two single-slab experimentally acquired datasets. The proposed approach was evaluated against existing methods on acquired retrospectively undersampled in vivo k-space data from five healthy volunteers and on prospectively undersampled data from two additional subjects.
BMC Nurs
September 2025
International Islamic Center for Population Studies and Research, Al-Azhar University, Cairo, Egypt.
Background: Postgraduate education is embracing journal clubs (JCs), which provide a platform for members to critically evaluate research articles and extract evidence-based nursing practice. The implementation of JCs by postgraduate nurses, especially in varied educational contexts such as Egypt, remains underexplored. This study aimed to explore and gain valuable insights into the professional experiences of implementing JCs among postgraduate nursing students in Egypt.
View Article and Find Full Text PDFBehav Res Methods
September 2025
Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Cybernetics, Prague, Czech Republic.
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of disorders. There has been a rapid development of human pose estimation methods in computer vision, thanks to advances in deep learning and machine learning. However, these methods are trained on datasets that feature adults in different contexts.
View Article and Find Full Text PDFNature
September 2025
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Smoke from extreme wildfires in Canada adversely affected air quality in many regions in 2023. Here we use satellite observations, machine learning and a chemical transport model to quantify global and regional PM (particulate matter less than 2.5 μm in diameter) exposure and human health impacts related to the 2023 Canadian wildfires.
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