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Using deep-learning predictions reveals a large number of register errors in PDB depositions.
IUCrJ
November 2024
Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom.
Article Synopsis
- * A new validation method identifies register errors by comparing actual residue contacts and distances in structural models to those predicted by systems like AlphaFold2, offering corrections that often improve refinement statistics.
- * This approach is different from traditional methods as it is not reliant on stereochemistry or resolution, and it identifies potential issues in PDB entries, aiding in the accuracy of future deposits.
Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade.
Front Oncol
September 2024
Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Objectives: Multishell diffusion scanning is limited by low spatial resolution. We sought to improve the resolution of multishell diffusion images through deep learning-based super-resolution reconstruction (SR) and subsequently develop and validate a prediction model for adult-type diffuse glioma, isocitrate dehydrogenase status and grade 2/3 tumors.
Materials And Methods: A simple diffusion model (DTI) and three advanced diffusion models (DKI, MAP, and NODDI) were constructed based on multishell diffusion scanning.
Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm.
Sensors (Basel)
June 2024
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Simultaneous localization and mapping (SLAM) is a hot research area that is widely required in many robotics applications. In SLAM technology, it is essential to explore an accurate and efficient map model to represent the environment and develop the corresponding data association methods needed to achieve reliable matching from measurements to maps. These two key elements impact the working stability of the SLAM system, especially in complex scenarios.
View Article and Find Full Text PDFThe application of systematic accident analysis tools to investigate food safety incidents.
Compr Rev Food Sci Food Saf
May 2024
Department of Life and Environmental Sciences, Bournemouth University, Poole, UK.
Article Synopsis
- * This review discusses the use of systematic accident analysis tools to create and enhance food safety management systems (FSMSs) and to analyze FSIs for contributive factors.
- * Tools like the Accident Map Model and the Functional Resonance Accident Model offer flexible approaches for analyzing FSIs across various levels, but require skilled professionals for thorough analysis and continuous improvement of safety practices.
High-performance presurgical differentiation of glioblastoma and metastasis by means of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics.
Eur Radiol
October 2024
Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Objectives: To evaluate the performance of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics in distinguishing between glioblastoma (Gb) and solitary brain metastasis (SBM).
Materials And Methods: In this retrospective study, NODDI images were curated from 109 patients with Gb (n = 57) or SBM (n = 52). Automatically segmented multiple volumes of interest (VOIs) encompassed the main tumor regions, including necrosis, solid tumor, and peritumoral edema.
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