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The race to disasters - is the international relief community ready for future disasters?
Isr J Health Policy Res
December 2024
Department of Emergency & Disaster Management, School of Public Health, Faculty of Medical and Health Sciences, Tel-Aviv University, Chaim Levanon 55, Tel-Aviv-Yafo, 6997801, Israel.
Background: Climate-related disasters have tripled in the past 30 years. Between 2006 and 2016, the global sea levels rose 2.5 times faster than the entire 20th century.
View Article and Find Full Text PDFFaster Sampling in Molecular Dynamics Simulations with TIP3P-F Water.
J Chem Theory Comput
December 2024
Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany.
Article Synopsis
- Current atomistic molecular dynamics simulations are limited to microsecond time scales due to instability when using longer time steps, which can lead to crashes.
- The researchers developed a "fast water" model that enhances sampling efficiency in biomolecular simulations while maintaining stability and accuracy, through mass repartitioning and rescaling.
- This new water model demonstrates a significant increase in sampling efficiency, achieving roughly a 2-fold boost with minimal accuracy loss, and it can be adapted to other water models and solvents to improve large-scale MD simulations.
Large-scale catastrophic events, either natural or human-influenced, highlight the requisite for emergency plans that specifically address the needs of obstetric and gynecologic patients. Pregnant, postpartum, and lactating individuals and their newborns and infants can be adversely affected by disasters and disaster-related environmental conditions. Obstetrician-gynecologists and other health care professionals have a unique role in developing and carrying out an emergency preparedness plan that addresses safety and medical needs in the event of a disaster.
View Article and Find Full Text PDFCNS-CLIP: Transforming a Neurosurgical Journal Into a Multimodal Medical Model.
Neurosurgery
December 2024
Department of Neurological Surgery, NYU Langone Health, New York, New York, USA.
Background And Objectives: Classical biomedical data science models are trained on a single modality and aimed at one specific task. However, the exponential increase in the size and capabilities of the foundation models inside and outside medicine shows a shift toward task-agnostic models using large-scale, often internet-based, data. Recent research into smaller foundation models trained on specific literature, such as programming textbooks, demonstrated that they can display capabilities similar to or superior to large generalist models, suggesting a potential middle ground between small task-specific and large foundation models.
View Article and Find Full Text PDFAseismic strain localization prior to failure and associated seismicity in crystalline rock.
Sci Rep
December 2024
Eastern Switzerland University of Applied Sciences, 8640, Rapperswil, Switzerland.
Recent laboratory tests and large-scale observations have revealed the complex interplays between aseismic and seismic deformation, as well as the progressive localization of the rock failure process. To investigate these processes, we conducted triaxial tests that combined distributed strain sensing (DSS) with acoustic emission (AE) sensors. Progressive strain localization was detected by DSS at 80% of the peak stress but did not produce measurable AEs.
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