Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT Sustainability in healthcare is getting considerable research attention as systems worldwide tend to balance environmental, social, and economic factors. In this context, digital technologies have demonstrated significant potential to enhance engagement among different consumer groups across various industries.
Francesco Schiavone +4 more
wiley +1 more source
British Journal of Educational Psychology, EarlyView.Abstract Background Academic buoyancy is conceptualized as students' capacity to cope with academic challenges. Studies that examine how academic buoyancy and coping responses are reciprocally related, or that include relations with achievement, are lacking.
David W. Putwain, Laura J. Nicholson
wiley +1 more source
An adaptive model predictive control approach for robust load frequency control under renewable energy disturbances. [PDF]
Sci RepAyman M, Attia MA, Asim AM.
europepmc +1 more source
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen +2 more
wiley +1 more source
Adaptive model predictive control for robust lateral motion tracking of semi-autonomous vehicles with dynamic parameter variation. [PDF]
Sci RepYeneneh K, Yoseph B, Sufe G.
europepmc +1 more source
ReMoDe – Recursive modality detection in distributions of ordinal data
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Extending reliability to intensive longitudinal data with the Kalman filter
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley +1 more source
Machine learning-guided analysis of metabolomic alterations in Parkinson's disease with comorbid symptoms. [PDF]
Front Aging NeurosciSun R +10 more
europepmc +1 more source
Hierarchical Differentiable Fluid Simulation
Computer Graphics Forum, EarlyView.We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
A Robust Complex <i>α</i>-Sigmoid Affine Projection Algorithm Under Non-Gaussian Noise. [PDF]
Sensors (Basel)Guo Y, Guo B, Qian G.
europepmc +1 more source