Normal mode analysis and essential dynamics analysis are powerful methods used for the analysis of collective motions in biomolecules. Their application has led to an appreciation of the importance of protein dynamics in function and the relationship between structure and dynamical behavior. In this chapter, the methods and their implementation are introduced and recent developments such as elastic networks and advanced sampling techniques are described.
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http://dx.doi.org/10.1007/978-1-59745-177-2_5 | DOI Listing |
Adv Sci (Weinh)
January 2025
Haiping Fang, School of Physics, East China University of Science and Technology, Shanghai, 20023, China.
The human visual nervous system excels at recognizing and processing external stimuli, essential for various physiological functions. Biomimetic visual systems leverage biological synapse properties to improve memory encoding and perception. Optoelectronic devices mimicking these synapses can enhance wearable electronics, with layered heterojunction materials being ideal materials for optoelectronic synapses due to their tunable properties and biocompatibility.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Southern Research Station, US Forest Service, 320 Green Street, Athens, GA 30602, USA.
Wildfires are growing in destructive power, and accurately predicting the spread and intensity of wildland fire is essential for managing ecological and societal impacts. No current operational models used for fire behavior prediction resolve critical fire-atmospheric coupling or nonlocal influences of the fire environment, rendering them inadequate in accounting for the range of wildland fire behavior scenarios under increasingly novel fuel and climate conditions. Here, we present a new perspective on a dominant fire-atmospheric feedback mechanism, which we term wildland fire entrainment (WFE).
View Article and Find Full Text PDFF1000Res
January 2025
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.
View Article and Find Full Text PDFFront Psychol
January 2025
Department of English, Faculty of Arts and Humanities, University of Macau, Macau SAR, China.
This study investigates how lower-level English language learners achieve and maintain intersubjectivity and navigate through co-constructed framings during context-embedded tasks such as improvised role-play. In language education settings, activities associated with interactions often reflect multi-layered participant orientations beyond mere linguistic execution. From the perspectives of ethnomethodology and conversation analysis, linguistic actions are effective only when they are intersubjectively understood: the complexity of an activity necessitates corresponding levels of intersubjectivity for smooth progression.
View Article and Find Full Text PDFFront Public Health
January 2025
Sanitation Teaching and Research Section, Department of Health Service, Naval Medical University, Shanghai, China.
Background: Norovirus remains a significant viral cause of waterborne and foodborne gastroenteritis outbreaks and epidemics worldwide. The burden of norovirus extends across different income settings.
Methods: Leveraging secondary data from the 2021 Global Burden of Diseases Study, our analysis spanned the period from 1990 to 2021 to assess the burden of norovirus-associated diseases (NADs).
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