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We used the Re-enactment of intention paradigm to investigate whether children would re-enact what an adult intended to do in a video presentation as they do when presented with a live demonstration (Meltzoff in Dev Psychol 31(5):838-850, 1995). Unlike the 18-month-old infants studied by Meltzoff (Dev Psychol 31(5):838-850, 1995), the 18- and 24-month-olds in the current study did not frequently imitate unsuccessful goal-directed actions presented in a video model. Children who performed better in the task also tended to share more of their attention with the experimenter during co-viewing of the video. Performance on the Re-enactment of intention task was positively related to categorization score, an independent measure of cognitive functioning.
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http://dx.doi.org/10.1007/s10339-012-0518-0 | DOI Listing |
J Vis Exp
August 2025
Chitkara University Institute of Engineering & Technology, Chitkara University.
Emotion annotation in code-mixed languages like Hinglish (Hindi-English) presents unique challenges due to linguistic complexity and resource constraints. This study introduces a hybrid active learning framework that combines lexical rules, machine learning, and iterative expert feedback to achieve cost-efficient, high-accuracy emotion annotation. Grounded in psychological theories of emotion, including Discrete Emotions Theory and Cognitive Appraisal Theory, the framework employs bilingual emotion dictionaries (e.
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August 2025
Physiology Unit, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases.
Resistance arteries, which include small arteries and arterioles, play essential roles in regulating blood pressure and tissue perfusion. Dysfunction in these arteries can lead to various cardiovascular conditions such as hypertension, atherosclerosis, and heart failure, as well as neurovascular conditions. The examination of human resistance arteries is crucial for understanding cardiovascular disease mechanisms and developing targeted therapeutic strategies.
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August 2025
Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
Deepfakes pose critical threats to digital media integrity and societal trust. This paper presents a hybrid deepfake detection framework combining Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) to address challenges in scalability, generalizability, and adversarial robustness. The framework integrates adversarial training, a temporal decay analysis model, and multimodal detection across audio, video, and text domains.
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August 2025
Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology.
We present multimodal confocal Raman micro-spectroscopy (RS) and tomographic phase microscopy (TPM) for quick morpho-chemical phenotyping of human breast cancer cells (MDA-MB-231). Leveraging the non-perturbative nature of these advanced microscopy techniques, we captured detailed morpho-molecular data from living, label-free cells in their native physiological environment. Human bias-free data processing pipelines were developed to analyze hyperspectral Raman images (spanning Raman modes from 600 cm to 1800 cm, which uniquely characterize a wide range of molecular bonds and subcellular structures), as well as morphological data from three-dimensional refractive index tomograms (providing measurements of cell volume, surface area, footprint, and sphericity at nanometer resolution, alongside dry mass and density).
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August 2025
Institute of Orthopedic Surgery, Xijing Hospital, Air force Medical University;
Bone tissue is an important load-bearing organ of the human body. Moderate exercise enhances bone mass through mechanical loading, while high-intensity exercise may suppress it. Infrared therapy improves circulation, reduces pain/inflammation, and aids tissue repair.
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