Results 111 to 120 of about 333,292 (283)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Fostering Self-directed Learning through Guided Tasks and Learner Reflection
This article reports on the potential impact on learner attitudes and behaviour from the use of a set of guided self-directed learning worksheets.
Chris King
doaj
Performance of Commodity Futures-Based Dynamic Portfolios
This paper analyzes the return performance of various commodity futures-based dynamic portfolios over the period from 31 January 1986 to 31 July 2023. By constructing 30 distinct portfolios categorized by style and performance, we assess their potential ...
Ramesh Adhikari
doaj +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Kan kreativitet läras ut? En bildpedagogisk översikt
This paper is divided into four sections. The first of these provides a review of research on creativity. Case studies of artists and of children and young people, experimental studies in psychology as well as anthropological evidence suggest that ...
Lars Lindström
doaj
How often does direct real estate increase the risk-adjusted performance of the US mixed-asset portfolio? [PDF]
The “case for real estate” in the mixed-asset portfolio is a topic of continuing interest to practitioners and academics. The argument is typically made by comparing efficient frontiers of portfolio with real estate to those that exclude real estate ...
Lee, Stephen L.
core
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Testing Downside Risk Efficiency Under Market Distress [PDF]
In moments of distress downside risk measures like Lower Partial Moments (LPM) are more appropriate than the standard variance to characterize risk. The goal of this paper is to study how to compare portfolios in these situations.
Gonzalo, J., Olmo, J.
core +3 more sources
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
This paper employs the cumulative prospect theory to investigate how deviation from rational investor asset selection improves portfolio optimisation. Firstly, asset portfolios are constructed by utilising the cumulative prospect theory, which captures ...
Kwame Annin +2 more
doaj +1 more source

