Results 221 to 230 of about 16,074,262 (296)

Time Flows With the Changing of Events. [PDF]

Ann N Y Acad Sci
Logie M, Lamprou-Kokolaki M, van Wassenhove V.   +2 more
europepmc   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

Leakage-Controlled Classification of Dataset-Derived Ordinal p53-Signature Size Categories in Fallopian-Tube Immunohistochemistry. [PDF]

Diagnostics (Basel)
Alhazmi A.
europepmc   +1 more source

Clarke Transform: A Lingua Franca for Continuum Robotics

Advanced Intelligent Systems, EarlyView.
Using the Clarke transform, both robot‐dependent mappings are known exactly for kinematic models, leading to a complete chain of transformations between spaces with associated abstraction. This eases the derivation. Therefore, proposing the Clarke transform as a lingua franca and utilizing a practical fact sheet can pave the way for more systematic ...
Reinhard M. Grassmann, Sami Haddadin
wiley   +1 more source

Validation design and experimental provenance shape apparent machine-learning transferability in legacy Mössbauer spectroscopy. [PDF]

RSC Adv
Armağan O, Bedi̇r ME.
europepmc   +1 more source

MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification

Advanced Intelligent Systems, EarlyView.
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson, Mengtao Sun, Xinchao Wu, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Development and External Validation of Machine Learning Models for Ionized Calcium Estimation in Hypoalbuminemia. [PDF]

Diagnostics (Basel)
Deniz L, Solar T, Deveci Kocakoc I, Bercik Inal B, Dikker O, Aydin C.   +5 more
europepmc   +1 more source

Design Principles for Information‐Efficient Multimodal Analytical Workflows for Nondestructive Quality Assessment of Polypropylene After Accelerated Weathering

Advanced Intelligent Systems, EarlyView.
A controlled library of virgin polypropylene, one post‐industrial recycled grade, and recycled/virgin blends after accelerated weathering is combined with multimodal learning. Sequential analysis identifies X‐ray diffraction combined with Raman peak and spectral representations as a useful core for estimating Charpy impact strength within this library.
Kazuki Hammura, Kiyotaka Hitomi, Kenji Nagata, Masanobu Naito   +3 more
wiley   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source