Results 81 to 90 of about 11,857,532 (256)

Efficient Frontier for Robust Higher-order Moment Portfolio Selection [PDF]

This article proposes a non-parametric portfolio selection criterion for the static asset allocation problem in a robust higher-moment framework. Adopting the Shortage Function approach, we generalize the multi-objective optimization technique in a four ...
Emmanuel Jurczenko, Bertrand Maillet, Paul Merlin   +2 more
core  

Domestic and External Drivers of Brazilian Pork Price Volatility Under Russian Trade Policies

Agribusiness, EarlyView.
ABSTRACT This study investigates how Russian trade policies and domestic factors influence the volatility of Brazilian live swine prices from 2004 to 2019. We employ a DCC‐MGARCH framework, along with volatility impulse‐response functions and the connectedness approach, to analyze time‐varying co‐movement and dynamic volatility spillovers across pork ...
Gabriel Rosero, Tinoush Jamali Jaghdani, Bernhard Brümmer   +2 more
wiley   +1 more source

Modular design and supervisory control for enhanced economic resilience in continuous pharmaceutical manufacturing

AIChE Journal, EarlyView.
Abstract Conventional continuous plants use fixed‐capacity equipment, resulting in high capital risk and suboptimal performance under fluctuating demands. To address these, this study proposes an integrated framework for modular process design and supervisory control capable of adapting to demand uncertainty for long‐term economic viability.
T. Asrav, M. Alvarado‐Morales, G. Sin
wiley   +1 more source

Multi‐objective evolutionary optimization for hardware‐aware neural network pruning

Fundamental Research
Neural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types of ...
Wenjing Hong, Guiying Li, Shengcai Liu, Peng Yang, Ke Tang   +4 more
doaj   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

Differential attainment at national selection for higher surgical training: a retrospective cohort study

BMJ Open
Objectives National selection for higher surgical specialty training (HST) in the UK is a high-stakes gatekeeping assessment. If barriers, such as differential attainment, exist at HST selection for some groups and not others, then this will have a ...
Amanda Lee, Jennifer Cleland, John Hines, Peter Brennan, Ricky Ellis, Yasin Al-Tawarah   +5 more
doaj   +1 more source

A systematic review of evidence on malignant spinal metastases: natural history and technologies for identifying patients at high risk of vertebral fracture and spinal cord compression

Health Technology Assessment, 2013
Background: Spinal metastases can lead to significant morbidity and reduction in quality of life due to spinal cord compression (SCC). Between 5% and 20% of patients with spinal metastases develop metastatic spinal cord compression during the course of ...
P Sutcliffe, M Connock, D Shyangdan, R Court, N-B Kandala, A Clarke   +5 more
doaj   +1 more source

Beyond the Camera: Epidermal Sensor Platforms for Intelligent Facial Expression Recognition and Interactive Human Monitoring

Advanced Intelligent Systems, EarlyView.
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung, Manchi Nagaraju, Jun‐Gyu Choi, Jaeil Park, Sungjun Park, Daegun Kim   +5 more
wiley   +1 more source

From Atoms to Reactors: A Critical Review of a Decade of Machine Learning in Heterogeneous Catalysis (2017–2026)

Angewandte Chemie, EarlyView.
Machine learning has digitalized heterogeneous catalysis from the top of the length scale downward: prediction at the atom and the material is now mature, yet the reactor and the process remain the open frontier. This critical review traces a decade of progress across the full catalytic value chain and asks where the next decade of impact must be won ...
Rafael Larraz, Avelino Corma
wiley   +2 more sources

Digital Transformation in Higher Education in the AI Era: A Systematic Review of Definitions and Emerging Trends

AI &Innovation, EarlyView.
ABSTRACT Digital transformation (DT) remains inconsistently defined in higher education, particularly as artificial intelligence (AI) introduces new institutional capabilities and responsibilities. This systematic review synthesizes 40 retrievable peer‐reviewed studies published between 2020 and 2025 to examine how DT is defined, which institutional ...
Yufeng Qian, Yi Jin
wiley   +1 more source