PERFORMANCE-DRIVEN ENGINEERING DESIGN APPROACHES BASED ON GENERATIVE DESIGN AND TOPOLOGY OPTIMIZATION TOOLS: A COMPARATIVE STUDY

Performance-Driven Engineering Design Approaches Based on Generative Design and Topology Optimization Tools: A Comparative Study

The advent of Additive Manufacturing (AM) is uncovering the limits of the current CAD systems and, at the same time, is highlighting the potentials of the Topology Optimization (TO) and Generative Design (GD) tools that had not been fully exploited until now.Differently from the traditional design approach in which designers occupy a predominant ro

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Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative

Knee osteoarthritis (OA) is a prevalent musculoskeletal condition affecting millions worldwide, posing significant health and economic burdens.Characterized by the degeneration of joint cartilage, the progression of knee OA varies significantly among individuals, making its prediction a complex issue.Previous studies on automated knee OA diagnosis

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Electric field stimulation directs target-specific axon regeneration and partial restoration of vision after optic nerve crush injury.

Failure of central nervous system (CNS) axons to regenerate after injury results in permanent disability.Several molecular neuro-protective and neuro-regenerative strategies have been proposed as potential treatments but do not provide the directional cues needed to direct target-specific axon regeneration.Here, we demonstrate that applying an exte

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Fumarprotocetraric acid and geraniin were identified as novel inhibitors of human respiratory syncytial virus infection in vitro

IntroductionRespiratory syncytial virus (RSV) remains a major international public health concern.However, disease treatment is limited to preventive care with monoclonal antibodies and supportive care.In this study, natural products were screened to identify novel anti-RSV inhibitors.MethodsThe antiviral effect of 320 compounds on RSV in HEp-2 cel

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Spatiotemporal slope stability analytics for failure estimation (SSSAFE): linking radar data to the fundamental dynamics of granular failure

Abstract Impending catastrophic failure of granular earth slopes manifests distinct kinematic patterns in space and time.While risk assessments of slope failure hazards have routinely relied on the zury sis wigs chill monitoring of ground motion, such precursory failure patterns remain poorly understood.A key challenge is the multiplicity of spatio

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