The RAND Journal of Economics, EarlyView.ABSTRACT We study a long‐horizon, oligopolistic market with random shocks to demand that can be arbitraged by two storage operators with finite capacity. This problem applies to any storable commodity—that is, most commodities. Because the arbitrage spread is so sensitive to market power, storage operators face strong incentives to restrain quantities ...
Sergei Balakin, Guillaume Roger
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The application of machine learning in the evaluation of urinary tract infections incidence in patients in a Nursing and Treatment Facility. [PDF]
Pharmacol RepGrzegorzek U +4 more
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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
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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.
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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
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A drift-aware RS2FS pipeline with confidence gating for IDS. [PDF]
Sci RepSakthivel G, Kumarasamy AK.
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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
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Alzheimer's disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data. [PDF]
Sci RepHariharan J, Jothi R.
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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
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Identification of protein biomarkers to differentiate between gram-negative and gram-positive infections in adults suspected of sepsis. [PDF]
BMC Infect DisIrani Shemirani M +6 more
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