Results 191 to 200 of about 2,286,231 (293)

Regional and patient characteristic disparities in the outcomes of minimally invasive surgery for colorectal cancer in Japan

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study aimed to clarify whether differences in minimally invasive surgery outcomes are associated with regional and patient characteristics. This study found regional and patient characteristic disparities in minimally invasive surgical outcomes; national policies should be implemented to address these inequities.
Atsushi Hamabe   +9 more
wiley   +1 more source

Digital design and optimization of the integrated synthesis and crystallization process using data‐driven approaches

open access: yesAIChE Journal, EarlyView.
Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines ...
Yiming Ma   +7 more
wiley   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si   +16 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen   +4 more
wiley   +1 more source

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