Results 181 to 190 of about 69,925 (308)

Risk Factors for Small‐for‐Size Syndrome Grade B/C After Simultaneous Splenectomy in Adult Living‐Donor Liver Transplantation

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In a single‐center cohort of 577 adult LDLT recipients who underwent simultaneous splenectomy, clinically significant SFSS grade B/C (ILTS‐iLDLT‐LTSI 2023) occurred in 18.2% and was associated with inferior graft survival. Multivariate analysis identified MELD ≥ 30, NLR ≥ 4.5, and donor age ≥ 50 years as independent risk factors, which risk rising ...
Kyohei Yugawa   +6 more
wiley   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

open access: yesAIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana   +3 more
wiley   +1 more source

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

open access: yesAIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu   +5 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Metabolic traits are shaped by phylogenetic conservatism and environment, not just body size. [PDF]

open access: yesProc Natl Acad Sci U S A
Leahy L   +9 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

open access: yesAdvanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy