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This article bemoans the demise of truly modular open-source image processing systems, such as SPIDER, in recent years' development of tools for three-dimensional reconstruction in cryo-electron microscopy. Instead, today's users have to rely on the functionality of software systems that have little or no transparency. As a consequence, users of such packages no longer gain a conceptual understanding and intuitive grasp of the analytical routes leading from the stream of input data to the final density map. Possible remedies of this situation with free software are discussed.
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http://dx.doi.org/10.1016/j.bpj.2021.09.015 | DOI Listing |
J Healthc Sci Humanit
January 2024
Director, Northern Plains Ethics Institute, Editor, Springer's International Library of Bioethics, Professor of Philosophy and Ethics, History, Philosophy, and Religious Studies-Dept. 2340, Minard Hall 422J, P.O Box 6050, North Dakota State University, Fargo, ND 58108, [701] 231-7038, Email: dennis.
The USA's COVID-19 pandemic experience is an example of privileged thinking that what generally works for those in power ought to be the standard for what makes medical interventions, research, treatments, and policy ethical. As a result of not focusing on doing whatever was required for vulnerable or susceptible populations or their members to achieve their health and flourishing, there are a disproportionate numbers of COVID-19 infections and deaths in Black, Hispanic, and indigenous communities. Future studies will likely show even more harm and larger health failure than known of now.
View Article and Find Full Text PDFBMC Psychiatry
September 2025
Department of Cognitive Neuroscience, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Obsessive-compulsive disorder (OCD) is a chronic and disabling condition affecting approximately 3.5% of the global population, with diagnosis on average delayed by 7.1 years or often confounded with other psychiatric disorders.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
Accurate imputation of missing data is crucial in the Industrial Internet-of-Things (IIoT), where operations are often compromised by noisy samples from harsh environments. Traditional imputation methods struggle with such noise due to their black-box nature or lack of adaptability. To address this issue, we recast data imputation as a distribution alignment challenge, utilizing the flexibility of optimal transport (OT) to handle noisy samples.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Electronic Science and Engineering, Nanjing University, China. Electronic address:
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is vulnerable to adversarial attacks that can significantly impair its functionality through minor input perturbations. Traditional techniques, such as FGSM and PGD, are often ineffective in segmentation tasks due to their reliance on global perturbations that overlook spatial nuances.
View Article and Find Full Text PDFIEEE Trans Comput Biol Bioinform
September 2025
Artificial intelligence (AI) based anticancer drug recommendation systems have emerged as powerful tools for precision dosing. Although existing methods have advanced in terms of predictive accuracy, they encounter three significant obstacles, including the "black-box" problem resulting in unexplainable reasoning, the computational difficulty for graphbased structures, and the combinatorial explosion during multistep reasoning. To tackle these issues, we introduce a novel Macro-Micro agent Drug sensitivity inference (MarMirDrug).
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