Results 231 to 240 of about 4,114,624 (298)

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

Churned on the Farm, Valued by Customers: Southeast U.S. Consumers' Willingness‐to‐Pay for Farmstead Ice Cream

Agribusiness, EarlyView.
ABSTRACT Consumer demand for value‐added dairy products has grown substantially, yet consumer preferences for origin information (including farmstead) on ice cream remain underexplored. We used a stated preferences choice experiment to elicit consumers' willingness‐to‐pay (WTP) for ice cream across nine states in the Southeastern U.S.
Nama Raj Bhusal, Alicia Rihn, Liz Eckelkamp, Caitlin Zaring, Charley Martinez, Chris Boyer   +5 more
wiley   +1 more source

Current Status and Future Perspectives of Robotic Surgery for Esophagogastric Cancer in Asia

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Robotic‐assisted surgery (RAS) has moved from an experimental adjunct to an increasingly established component of gastrointestinal (GI) oncological practice in parts of Asia, a region that carries a disproportionately high burden of gastric and esophageal cancer. Asian surgeons have been among the earliest and most prolific contributors to the
Jia Jun Ang, Jimmy Bok Yan So
wiley   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

AIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang, Xiaopo Cheng, Hui Geng, Jiaze Ma   +3 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source