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http://dx.doi.org/10.1073/pnas.10.6.267 | DOI Listing |
J Phys Chem B
January 2025
Department of Chemical Engineering, School of Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
In this article, we present three mesoscopic models for water. All three models make use of local density-dependent interaction potentials, as employed within the Pagonabarraga-Frenkel framework [Pagonabarraga, I.; Frenkel, D.
View Article and Find Full Text PDFPLoS One
January 2025
Suliman S. Olayan School of Business (OSB), American University of Beirut (AUB), Beirut, Lebanon.
Historically, the film industry has been male-dominated both in front of and behind the camera, resulting in a longstanding gender imbalance in storytelling and representation. This legacy of male-centric narratives may unconsciously influence critics' expectations and judgments. Existing literature suggests that negative critiques in movie reviews can significantly impact actors' earnings by diminishing a film's commercial prospects.
View Article and Find Full Text PDFNeural Netw
January 2025
Defense Innovation Institute, Chinese Academy of Military Science, Beijing 100071, China; Intelligent Game and Decision Laboratory, China.
The Physics-informed Neural Network (PINN) has been a popular method for solving partial differential equations (PDEs) due to its flexibility. However, PINN still faces challenges in characterizing spatio-temporal correlations when solving parametric PDEs due to network limitations. To address this issue, we propose a Physics-Informed Neural Implicit Flow (PINIF) framework, which enables a meshless low-rank representation of the parametric spatio-temporal field based on the expressiveness of the Neural Implicit Flow (NIF), enabling a meshless low-rank representation.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
January 2025
Shandong Provincial Hospital Affiliated to Shandong First Medical University, Department of Neurosurgery, Jinan, China.
Purpose: Differentiating primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) is crucial because their prognosis and treatment differ substantially. Manual examination of their histological characteristics is considered the golden standard in clinical diagnosis. However, this process is tedious and time-consuming and might lead to misdiagnosis caused by morphological similarity between their histology and tumor heterogeneity.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
MaterialX LTD, Bristol BS4 1NF, U.K.
A challenging topic in materials engineering is the development of numerical models that can accurately predict material properties with atomistic accuracy, matching the scale and level of detail achieved by experiments. In this regard, coarse-grained (CG) molecular dynamics (MD) simulations are a popular method for achieving this goal. Despite the efforts of the scientific community, a reliable CG model with quasi-atomistic accuracy has not yet been fully achieved for the design and prototyping of materials, especially polymers.
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