1. Responses of several measures to different intensity levels of upper limb exergames in children with neurological diagnoses: a pilot study 

   Goikoetxea-Sotelo, Gaizka; van Hedel, Hubertus J. A. (2024)

   FRONTIERS IN REHABILITATION SCIENCES

   Background Therapy intensity is among the most critical factors influencing neurorehabilitative outcomes. Because of its simplicity, time spent in therapy is the most commonly used measure of therapy intensity. However, time spent in therapy is only a vague estimate of how hard a patient works during therapy. Several measures have been proposed to better capture the amount of work a patient puts forth during therapy. Still, it has never ...

   Journal Article

2. Asymmetric temperature effect on leaf senescence and its control on ecosystem productivity 

   He, Lei; Wang, Jian; Penuelas, Josep; et al. (2024)

   PNAS NEXUS

   Widespread autumn cooling occurred in the northern hemisphere (NH) during the period 2004-2018, primarily due to the strengthening of the Pacific Decadal Oscillation and Siberian High. Yet, while there has been considerable focus on the warming impacts, the effects of natural cooling on autumn leaf senescence and plant productivity have been largely overlooked. This gap in knowledge hinders our understanding of how vegetation adapts and ...

   Journal Article

3. Segmentation methods for quantifying X-ray Computed Tomography based biomarkers to assess hip fracture risk: a systematic literature review 

   Falcinelli, Cristina; Cheong, Vee San; Ellingsen, Lotta Maria; et al. (2024)

   Frontiers in Bioengineering and Biotechnology

   Background: The success of using bone mineral density and/or FRAX to predict femoral osteoporotic fracture risk is modest since they do not account for mechanical determinants that affect bone fracture risk. Computed Tomography (CT)-based geometric, densitometric, and finite element-derived biomarkers have been developed and used as parameters for assessing fracture risk. However, to quantify these biomarkers, segmentation of CT data is ...

   Review Article

4. OpenBox: A Python Toolkit for Generalized Black-box Optimization 

   Jiang, Huaijun; Shen, Yu; Li, Yang; et al. (2024)

   Journal of Machine Learning Research

   Black-box optimization (BBO) has a broad range of applications, including automatic machine learning, experimental design, and database knob tuning. However, users still face challenges when applying BBO methods to their problems at hand with existing software packages in terms of applicability, performance, and efficiency. This paper presents OpenBox, an open-source BBO toolkit with improved usability. It implements user-friendly interfaces ...

   Journal Article

5. Data-driven dynamic police patrolling: An efficient Monte Carlo tree search 

   Tschernutter, Daniel; Feuerriegel, Stefan (2025)

   European Journal of Operational Research

   Crime is responsible for major financial losses and serious harm to the well-being of individuals, and, hence, a crucial task of police operations is effective patrolling. Yet, in existing decision models aimed at police operations, microscopic routing decisions from patrolling are not considered, and, furthermore, the objective is limited to surrogate metrics (e. g., response time) instead of crime prevention. In this paper, we thus ...

   Journal Article

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