Results 91 to 100 of about 40,034 (267)

Performance of multimodal large language models on image‐based surgical anatomy, anatomical pathology, and radiology questions

Anatomical Sciences Education, EarlyView.
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley   +1 more source

Harnessing Cellular Feeling: Epigenetic to Mechanical Memory as a Framework for Stem Cell Manufacturing

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Stem cell‐based therapies hold transformative potential for regenerative medicine, yet their progress is constrained by persistent variability in manufacturing and clinical performance. Conventional frameworks such as Quality by Design (QbD), though effective for drugs and biologics, struggle to accommodate the dynamic nature of living cell ...
Mee‐Hae Kim, Masahiro Kino‐oka
wiley   +1 more source

Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed‐Batch Fermentation Using Reinforcement Learning

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli, Sakib Ferdous, J. Michael Hess, Nigel F. Reuel   +3 more
wiley   +1 more source

Orchard netting impacts on biodiversity leading to cascading effects at the ecosystem level

Biological Reviews, EarlyView.
ABSTRACT Agriculture must ensure food production without further compromising the ecosystem functions upon which it depends. Agricultural practices should therefore avoid harming farmland biodiversity, especially of taxa that supply the key ecosystem services (e.g.
Corrado Alessandrini, Karan Sethi, Emanuela Granata, Ekaterina Mogilnaia, Valeria Vitangeli, Giovanni Zanfei, Chiara Fedrigotti, Paolo Biella, Dino Scaravelli, Luigi Marchesi, Péter Batáry, Diego Rubolini, Paolo Pedrini, Mattia Brambilla   +13 more
wiley   +1 more source

Current Trends and Future Research in Management Control for Sustainability in Retail

Business Strategy and the Environment, EarlyView.
ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Government Subsidies for Industrial Symbiosis: Is It Always Worth It? Assessing Effectiveness and Efficiency Through Agent‐Based Modeling

Business Strategy and the Environment, EarlyView.
ABSTRACT Policy intervention can be a driver for industrial symbiosis (IS). However, given the wide variety of policy instruments available, policymakers should be guided in the policy design process to ensure that their intervention is effective and efficient. In this paper, we propose an agent‐based (AB) model intended to assess the effectiveness and
Melissa Mollica, Alberto Nastasi, Luca Fraccascia   +2 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source