Correlations in interacting many-body systems are key to the study of quantum matter. The complexity of the correlations typically grows quickly as the system evolves and thus presents a challenge for experimental characterization and intuitive understanding. In a strongly driven Bose-Einstein condensate, we observe the high-harmonic generation of matter-wave jets with complex correlations as a result of bosonic stimulation. Based on a pattern recognition scheme, we identify a pattern of correlations that reveals the underlying secondary scattering processes and higher-order correlations. We show that pattern recognition offers a versatile strategy to visualize and analyze the quantum dynamics of a many-body system.
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http://dx.doi.org/10.1126/science.aat5008 | DOI Listing |
Comput Biol Med
January 2025
Department of Computer Science, Jamia Hamdard University, Near Batra Hospital, New Delhi, 110062, India. Electronic address:
Schizophrenia detection involves identifying the schizophrenia by analyzing specific patterns in Electroencephalogram (EEG) signals, which reflect brain activity associated with symptoms, like hallucinations and cognitive impairments. Existing models face challenges due to the complex and variable nature of EEG data, which may struggle to accurately capture critical temporal dependencies and relevant features. Traditional approaches often lack adaptability, limiting their ability to differentiate schizophrenia patterns from other brain activities.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.
Human-machine interfaces and wearable electronics, as fundamentals to achieve human-machine interactions, are becoming increasingly essential in the era of the Internet of Things. However, contemporary wearable sensors based on resistive and capacitive mechanisms demand an external power, impeding them from extensive and diverse deployment. Herein, a smart wearable system is developed encompassing five arch-structured self-powered triboelectric sensors, a five-channel data acquisition unit to collect finger bending signals, and an artificial intelligence (AI) methodology, specifically a long short-term memory (LSTM) network, to recognize signal patterns.
View Article and Find Full Text PDFAm J Reprod Immunol
January 2025
Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Problem: Aging alters immune function in women and can lead increased risk of infections, particularly in the female reproductive tract (FRT).
Method Of Study: To determine how aging affects innate immune responses in the cervical stroma of the FRT, we isolated endocervical (CX) and ectocervical (ECX) stromal fibroblasts and determine if their expression of multiple pattern recognition receptors (PRRs) and responses to viral stimulation varied with menopause and age.
Results: Constitutive expression of most PRRs did not vary with age or menopausal status in either cell type.
Cogn Affect Behav Neurosci
January 2025
Department of Psychology, Brandeis University, Waltham, MA, USA.
Culture can shape memory, but little research has investigated age effects. The present study examined the neural correlates of memory retrieval for old, new, and similar lures in younger and older Americans and Taiwanese. A total of 207 participants encoded pictures of objects and, during fMRI scanning, completed a surprise object recognition task testing discrimination of similar and new from old items.
View Article and Find Full Text PDFAdv Mater
January 2025
State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300350, China.
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