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Unravelling the Unseen: A Case Series Exploring the Enigmas of Traumatic Optic Neuropathy.
Cureus
December 2024
Department of Ophthalmology, Sir Takhtasinhji General Hospital, Bhavnagar, IND.
Traumatic optic neuropathy (TON) is a rare condition resulting from damage to the optic nerve due to craniofacial trauma. It can present as direct or indirect injuries, with mechanisms ranging from mechanical disruption by fractures in direct TON to transmitted forces causing shearing and ischemia in indirect TON. These injuries often lead to significant visual impairment or complete vision loss, requiring timely diagnosis and intervention.
View Article and Find Full Text PDFResolving heterogeneous particle mobility in deeply quenched liquid iron: an ultra-fast assembly-free two-step nucleation mechanism.
Phys Chem Chem Phys
October 2024
Centre for Energy Research, HUN-REN, Research Institute for Technical Physics and Material Science, Dept. of Nanostructures, Konkoly Thege u. 29-33, Budapest, Hungary.
Despite intensive research, little is known about the intermediate state of phase transforming materials, which may form the missing link between liquids and solids on the nanoscale. The unraveling of the nanoscale interplay between the structure and dynamics of the intermediate state of phase transformations (through which crystal nucleation proceeds) is one of the biggest challenges and unsolved problems of materials science. Here we show using unbiased molecular dynamics simulations and spatially resolved atomic displacement maps (d-maps) that upon deep quenching the solidification of undercooled liquid iron proceeds through the formation of metastable pre-nucleation clusters (PNCs).
View Article and Find Full Text PDFInnovation and challenges of artificial intelligence technology in personalized healthcare.
Sci Rep
August 2024
Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China.
As the burgeoning field of Artificial Intelligence (AI) continues to permeate the fabric of healthcare, particularly in the realms of patient surveillance and telemedicine, a transformative era beckons. This manuscript endeavors to unravel the intricacies of recent AI advancements and their profound implications for reconceptualizing the delivery of medical care. Through the introduction of innovative instruments such as virtual assistant chatbots, wearable monitoring devices, predictive analytic models, personalized treatment regimens, and automated appointment systems, AI is not only amplifying the quality of care but also empowering patients and fostering a more interactive dynamic between the patient and the healthcare provider.
View Article and Find Full Text PDFZero-shot stance detection based on multi-expert collaboration.
Sci Rep
August 2024
School of Data and Computer Science, Shandong Women's University, Jinan, 250300, China.
Zero-shot stance detection is pivotal for autonomously discerning user stances on novel emerging topics. This task hinges on effective feature alignment transfer from known to unseen targets. To address this, we introduce a zero-shot stance detection framework utilizing multi-expert cooperative learning.
View Article and Find Full Text PDFExplaining Conformational Diversity in Protein Families through Molecular Motions.
Sci Data
July 2024
Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), 75005, Paris, France.
Proteins play a central role in biological processes, and understanding their conformational variability is crucial for unraveling their functional mechanisms. Recent advancements in high-throughput technologies have enhanced our knowledge of protein structures, yet predicting their multiple conformational states and motions remains challenging. This study introduces Dimensionality Analysis for protein Conformational Exploration (DANCE) for a systematic and comprehensive description of protein families conformational variability.
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