Results 111 to 120 of about 25,066 (249)

Reconfiguring Fresh Produce Supply Chains in Response to Drought Risk: Evidence From the U.S. Broccoli Market

Agribusiness, EarlyView.
ABSTRACT Drought is among the most severe and persistent threats to food supply chains, and relocating production to less drought‐prone regions offers a strategy to reduce this risk. This is particularly relevant for fresh vegetables, which are highly water‐intensive, yet drought‐driven reconfiguration strategies remain understudied.
Bingyan Dai, Miguel I. Gómez, Harry M. Kaiser   +2 more
wiley   +1 more source

Barbed Sutures Are Associated With a Lower Incidence of Incisional Hernia Compared With Continuous Non‐Barbed Monofilament Sutures After Minimally Invasive Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
Incisional hernia remains a common complication after minimally invasive gastroenterological surgery despite small extraction incisions. In this propensity score‐weighted analysis, barbed sutures significantly reduced the incidence of incisional hernia compared with conventional slowly absorbable monofilament sutures without increasing postoperative ...
Shusaku Honma, Takashi Takashima, Tatsuhi Ushikubo, Kana Ishikawa, Takashi Kumode, Takahisa Suzuki, Teppei Murakami, Shinichi Hosokawa, Sanae Nakajima   +8 more
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

Coupling Climate Downscaling With Species Distribution Models to Identify Potential Climate Refugia for Giant Panda Forage Bamboos. [PDF]

Ecol Evol
Shang X, Yang B, Dai Q, Pan H, Qiu L, Wang Y, Zhang C, Yang X, Gu X, Yang Z, Liu Y, Zhang L.   +11 more
europepmc   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

AIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh, Elyas Moghaddam, Wiebren de Jong, Johan T. Padding   +3 more
wiley   +1 more source

Informatics for the Planet: Integrating Species, Ecosystems, and Geophysical Data to Manage the Health of Earth Systems. [PDF]

JMIR Med Inform
Gray K, Benis A, Dueholm Müller S, Winkel K, Borda A.   +4 more
europepmc   +1 more source

A human‐in‐the‐loop Bayesian optimization framework for constraint‐aware bioprocess development

AIChE Journal, EarlyView.
Abstract We present Pareto Front Guided Sampling (PFGS), a human‐in‐the‐loop (HiL) Bayesian Optimization (BO) framework that reformulates surrogate‐model predictions as a multi‐objective optimization problem, allowing domain knowledge to be added intuitively to any BO problem.
Samuel Stricker, Claus Wirnsperger, Alessandro Butté, Laura Marie Helleckes, Gonzalo Guillén Gosálbez, Antonio del Rio Chanona, Mehmet Mercangöz   +6 more
wiley   +1 more source

Multicenter Validation of Machine Learning Models for Predicting Myopia Progression Across School‐Based Screening and Optical Intervention Settings in Chinese Children and Adolescents

Advanced Intelligent Discovery, EarlyView.
Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang, Mingxuan Liu, Yifei Chen, Ying Wu, Lijun Zhang, Mengyao Guo, Yulan Yan, Runmei Wei, Zihan Cui, Peng Luo, Fang Chen, Bo Yang, Youcang Han, Xiaoyang Liu, Qiyuan Tian   +14 more
wiley   +1 more source

Many knowledges for One Ocean. [PDF]

NPJ Ocean Sustain
Havice E, Gray NJ, Hartman Davies O, Legroux N, Lehman J, Melvin EC, Peters K, Quesnot T, Vadrot A, Campbell L.   +9 more
europepmc   +1 more source