Radboud Repository

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    276557 research outputs found

    Simplified Longitudinal Retrieval Experiments: A Case Study on Query Expansion and Document Boosting

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    Item does not contain fulltextCLEF 202

    AI in critical care: A roadmap to the future

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    Memory in depression

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    Item does not contain fulltextMemory and memories in depression can become a mirror and magnifier of the disorder, distorting the past and influencing actions, or impact how we see ourselves, the world, and the future. Memory is represented in many neural circuits distributed across the brain. This allows different memory systems to be coordinated and to impact behavioral responses. There are different ways to classify memory but most commonly it is differentiated according to duration into broadly two systems: short-term memory (working memory) and long-term memory. Another common classification of memory is according to the nature of the memory into explicit and implicit memory, explicit memory being the memory of facts and events that we can retrieve consciously and express. Implicit memory does not need consciousness; for example, motor skills and habits would be typical for this kind of memory. This chapter discusses the role of major domains of memory in depression. (PsycInfo Database Record (c) 2025 APA, all rights reserved

    Partitioning In-Place on Massively Parallel Architectures

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    Item does not contain fulltextEuro-Par 202

    Gait speed-dependent foot placement control in persons with chronic stroke and controls

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    Contains fulltext : 326483.pdf (Publisher’s version ) (Open Access)Background: The foot placement strategy is the primary mechanism for mediolateral (ML) balance control during gait and often impaired in persons with chronic stroke (PwCS). While healthy adults show precise control across most gait speeds, except very slow speeds, this relationship remains unexplored in PwCS. Methods: Participants walked on an instrumented treadmill at randomized speeds (0.2 - 1.6 m/s or maximum speed for PwCS). Foot placement deviation, the RMSE between actual and model-fitted foot placements based on CoM position and velocity at initial contact, quantified foot placement control. Best-fitting mixed-effects models (linear, exponential, or quadratic) assessed foot placement deviation across all speeds and, post-hoc, at lower and higher speeds separately. Results: Data from sixteen PwCS with self-reported balance impairments and 22 controls were analysed. A quadratic model with random intercepts and slopes showed consistently higher deviation across speeds in PwCS. Below 0.8 m/s, deviation decreased linearly (β = -2.19, p < 0.001), without leg or group differences in linear trend or curvature. Above 0.8 m/s, the paretic leg showed a significantly greater increase and curvature (linear β = 1.70, p < 0.001; quadratic β = 0.80, p < 0.001) compared to controls and the non-paretic leg. Conclusion: Foot placement control exhibits a curvilinear relationship with gait speed in PwCS and controls, with less control at slow speeds in both groups. While PwCS show consistent foot placement control impairments compared to controls across all speeds, paretic impairments increase at higher speeds. These speed-sensitive paretic impairments likely reflect the inability to adapt to increased sensorimotor demands during faster gait.7 p

    Selective Search as a First-Stage Retriever

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    Item does not contain fulltextCLEF 202

    Jump, It Is Easy: JumpReLU Activation Function in Deep Learning-Based Side-Channel Analysis

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    Item does not contain fulltextACNS 2025 Satellite Workshops: AIHWS, AIoTS, QSHC, SCI, PrivCrypt, SPIQE, SiMLA, and CIMSS 202

    Adaptive fusion of multi-view learnable enhanced contrastive recommendation

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    Contains fulltext : 326211.pdf (Publisher’s version ) (Open Access

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