The efficiency of recognition of masked visual images (Arabic numerals) under conditions of listening to classical (intensity 62 dB) or rock music (25 dB) increased. Coherence of potential in the frontal cortical region characteristic of the masked image recognition increased under conditions of listening to music. The changes in intercenter EEG relations were correlated with the formation of "the recognition dominant" at the behavioral level. Such behavioral and EEG changes were not observed during listening to louder music (85 dB) and listening to music of other styles, however, the coherence between potentials of the temporal and motor areas of the right hemisphere increased, and the latency of hand motor reactions decreased. The results suggest that the "recognition dominant" is formed under conditions of establishment of certain relations between the levels of excitation in the corresponding centers. These findings should be taken into consideration in case if it were necessary to increase the efficiency of the recognition.
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World Neurosurg
January 2025
Department of Spine Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University.
Background: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on clinical history, physical exam, and imaging, with magnetic resonance imaging (MRI) being an important reference standard. While artificial intelligence (AI) has been explored for MRI image recognition in LDH, existing methods often focus solely on disc herniation presence.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
CICS-UBI - Health Sciences Research Centre University of Beira Interior Covilhã Portugal; RISE-Health, Departamento de Química, Faculdade de Ciências, Universidade da Beira Interior, Rua Marquês d'Ávila e Bolama 6201-001 Covilhã, Portugal; Departamento de Química, Universidade da Beira Interior, Rua Marquês de Ávila e Bolama 6201-001 Covilhã, Portugal. Electronic address:
Rapid, quantitative, and sensitive detection of viral oligonucleotides can help to diagnose the infection before symptoms occur, monitor disease progression, and identify viral subtypes. A one-pot, simple, rapid hairpin-mediated nicking enzymatic signal amplification (HNESA) method was previously developed for nucleic acids detection. In the present work, this method was applied for the detection of SARS-CoV-2 RNA by designing an assistant probe (AP) that contains the complementary sequence for the target, the sequence of hybridization with the loop region of the molecular beacon (MB), and the recognition site of the nicking endonuclease Nt.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Deparment of Pharmacy, the Second Affiliated Hospital, Zhejiang University School of Medicine and College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China. Electronic address:
Antibody-drug conjugates (ADC) have emerged as an important class of therapeutic agents that combine the target specificity of a monoclonal antibody with the potency of a cytotoxic payload. Despite clinical success, our understanding of receptor endocytosis and ADC toxicity remains limited. Less than 1% of ADCs reach tumors, raising concerns about off-target cytotoxicity.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. This can be attributed to the significant time and energy penalties incurred in implementing nonlinear activation functions that are abundant in such models.
View Article and Find Full Text PDFAnnu Rev Biophys
January 2025
1CREST Center for Cellular and Biomolecular Machines, University of California, Merced, California, USA; email:
Like their prokaryotic counterparts, eukaryotic transcription factors must recognize specific DNA sites, search for them efficiently, and bind to them to help recruit or block the transcription machinery. For eukaryotic factors, however, the genetic signals are extremely complex and scattered over vast, multichromosome genomes, while the DNA interplay occurs in a varying landscape defined by chromatin remodeling events and epigenetic modifications. Eukaryotic factors are rich in intrinsically disordered regions and are also distinct in their recognition of short DNA motifs and utilization of open DNA interaction interfaces as ways to gain access to DNA on nucleosomes.
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