Results 121 to 130 of about 2,600,821 (278)

Normal false memory

, 2017
Is it possible to be completely convinced about a memory and yet to err? Yes, it is! Human memory is dynamic and at times falls victim to its own associative power.
Armin Schnider
core   +1 more source

Switching Spike Plasticity Shapes ACE2 Engagement Across SARS‐CoV‐2 Variants

Advanced Science, EarlyView.
Conformational plasticity governs SARS‐CoV‐2 spike function and ACE2 recognition. Using high‐speed AFM and single‐molecule force spectroscopy, we analyzed the ancestral spike and nine variants, revealing progressive rigidification from Delta, variable plasticity in Omicron sublineages, and JN.1 compaction.
Sarah Stainer, Rong Zhu, Manuel Reithofer, Gerhard Stadlmayr, Katharina Stadlbauer, Panchika Prangkio, Christoph Rippel, Markus Hahn, Aniko Eva Kasztner, Stefanie Stohl, Petr Bednar, Daniel Ruzek, David Glück, Robert Tampé, Gordana Wozniak‐Knopp, Yoo Jin Oh, Miriam Klausberger, Peter Hinterdorfer   +17 more
wiley   +1 more source

Internal Resonance Mismatch‐Controlled Dissipative Bistability Collapse in Coupled Micromechanical Oscillators

Advanced Science, EarlyView.
This paper reveals internal resonance mismatch‐controlled dissipative bistability collapse in a coupled micromechanical resonator. Tuning δIR changes both internal‐mode amplitude and phase‐dependent feedback. For negative mismatch, Duffing bistability survives.
Jianlin Chen, Xin Zhou, Takashiro Tsukamoto, Nan Wang, Shuji Tanaka   +4 more
wiley   +1 more source

Intuitive thinking predicts false memory formation due to a decrease in inhibitory efficiency. [PDF]

Front Psychol, 2023
Gronchi G, Righi S, Gavazzi G, Giganti F, Viggiano MP.   +4 more
europepmc   +1 more source

False (or biased) memory: Emotion and working memory capacity effects in the DRM paradigm

, 1994
This study aimed to investigate the role of emotion and working memory capacity (WMC) on false memory by measuring memory sensitivity independently of response bias.
Kapucu, Aycan, Yemişçioğlu, Fahri, Yuvruk, Elif, Elif Yüvrük, Aycan Kapucu   +4 more
core   +1 more source

Optimized Cas9‐Enriched Nanopore Sequencing and Analysis Workflow for Clinical Diagnosis of Repeat Expansion Disorders

Advanced Science, EarlyView.
An optimized Cas9‐enriched nanopore sequencing workflow, combined with STRiker, enables simultaneous analysis of disease‐associated STR loci from patient blood. The nCATS–STRiker workflow detects repeat expansions, de novo repeat motifs, interruption patterns, and methylation in a single assay, improving the genetic diagnosis of previously undiagnosed ...
Seungbok Lee, Chanju Jung, Minjeong Kim, Narae Kim, Gue‐Ho Hwang, Soon‐Tae Lee, Kon Chu, Sang Kun Lee, Han‐Joon Kim, Jong‐Hee Chae, Sangsu Bae, Jangsup Moon   +11 more
wiley   +1 more source

14‐3‐3γ Protects Against Postoperative Cognitive Dysfunction by Regulating Tau Thr205 Phosphorylation and Synaptic Integrity

Advanced Science, EarlyView.
Integrative multi‐cohort analyses identify 14‐3‐3γ as a biomarker and regulator of cognitive vulnerability. Experimental studies show that 14‐3‐3γ loss is associated with Tau Thr205 phosphorylation, synaptic dysfunction, and cognitive impairment, while genetic overexpression or pharmacological stabilization of 14‐3‐3γ confers protective effects in ...
Shouqiang Zhu, Xue Han, Heng Zhang, Chang Ye, Tianjiao Xia, Xiaoping Gu   +5 more
wiley   +1 more source

False memory in a second language: The importance of controlling the knowledge of word meaning. [PDF]

PLoS One, 2023
Suarez M, Beato MS.
europepmc   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source