In this work, we report on incorporating for the first time tree-algorithm based solvers into the molecular dynamics code, XMDYN. XMDYN was developed to describe the interaction of ultrafast X-ray pulses with atomic assemblies. It is also a part of the simulation platform, SIMEX, developed for computational single-particle imaging studies at the SPB/SFX instrument of the European XFEL facility. In order to improve the XMDYN performance, we incorporated the existing tree-algorithm based Coulomb solver, PEPC, into the code, and developed a dedicated tree-algorithm based secondary ionization solver, now also included in the XMDYN code. These extensions enable computationally efficient simulations of X-ray irradiated large atomic assemblies, e.g., large protein systems or viruses that are of strong interest for ultrafast X-ray science. The XMDYN-based preparatory simulations can now guide future single-particle-imaging experiments at the free-electron-laser facility, EuXFEL.
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http://dx.doi.org/10.3390/molecules27134206 | DOI Listing |
Liver Int
February 2025
Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background And Aim: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Methods: This multicenter cohort study utilised a development set from Beijing Friendship Hospital, with retrospective and prospective validation sets from 10 tertiary hospitals across various regions of China spanning January 2009 to May 2023.
Diagnostics (Basel)
January 2025
Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
: Long-term work-related musculoskeletal disorders are predominantly influenced by factors such as the duration, intensity, and repetitive nature of load lifting. Although traditional ergonomic assessment tools can be effective, they are often challenging and complex to apply due to the absence of a streamlined, standardized framework. Recently, integrating wearable sensors with artificial intelligence has emerged as a promising approach to effectively monitor and mitigate biomechanical risks.
View Article and Find Full Text PDFComput Biol Med
December 2024
Babeş-Bolyai University, Mihail Kogălniceanu 1, Cluj-Napoca, 400084, Cluj, Romania.
According to the World Health Organization, breast cancer becomes fatal only if it spreads throughout the body. Therefore, regular screening is essential. Whilst mammography is the most frequently used technique, its interpretation can be challenging and time-consuming.
View Article and Find Full Text PDFHeliyon
May 2024
College of Computing & IT, University of Doha for Science and Technology, Doha, 122014, Qatar.
In the midst of a vast amount of scientific literature, the need for specific rules arise especially when it comes to deciding which impactful researchers should be nominated. These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data. Various search engines, like Google Scholar, Semantic Scholar, Web of Science etc.
View Article and Find Full Text PDFUlus Travma Acil Cerrahi Derg
January 2024
Department of General Surgery, Hitit University Faculty of Medicine, Çorum-Türkiye.
Background: This study aimed to create an algorithm using the decision tree method to classify patients with suspected acute cholecystitis into those who may improve with medical treatment, those who should undergo surgery for acute cholecystitis, and those with complicated cholecystitis, using laboratory parameters alone.
Methods: A total of 1,352 patients treated for acute cholecystitis at our hospital over four years were retrospectively analyzed. Patients were divided into groups based on whether they received medical treatment or surgery.
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