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Background: Amnestic and vascular dementia are two common types of dementia. Currently, diagnosing and differentiating between these two conditions requires comprehensive neuropsychological testing, neuroimaging studies, and cerebrospinal fluid analysis. Identifying these conditions at early stages, i.
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Certifying robustness against external uncertainties throughout the control process to reduce the risk of instability is very important. Most existing approaches based on adversarial learning use a fixed parameter to adjust the intensity of adversarial perturbations and design these perturbations in a greedy manner without considering future implications. However, they often lead to severe vulnerabilities when attack budgets vary dynamically or under foresighted attacks.
View Article and Find Full Text PDFDesign and dosimetric characterization of a transportable proton minibeam collimation system.
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Machine Learning-Corrected Simplified Time-Dependent DFT for Systems With Inverted Single-t-o-Triplet Gaps of Interest for Photocatalytic Water Splitting.
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Department of Chemistry, University of Nevada Reno, Reno, Nevada, USA.
Hydrogen gas (H) can be produced via entirely solar-driven photocatalytic water splitting (PWS). A promising set of organic materials for facilitating PWS are the so-called inverted singlet-triplet, INVEST, materials. Inversion of the singlet (S) and triplet (T) energies reduces the population of triplet states, which are otherwise destructive under photocatalytic conditions.
View Article and Find Full Text PDFA dual dimensional optimization strategy for automatic osteotomy preoperative planning in congenital radioulnar synostosis.
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Congenital radioulnar synostosis (CRUS) presents a complex forearm deformity, requiring precise osteotomy planning for anatomical restoration. This study proposes an automatic osteotomy preoperative planning method for forearms with CRUS. Proximal forearm bones are first aligned with the template forearm and then a dual dimensional optimization (DDO) strategy is used to optimize the spatial transformation parameters of the distal fragment.
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