Results 131 to 140 of about 2,715 (247)

Diurnal Variation in Intraoperative Opioid Requirements: A Prospective Cohort Study. [PDF]

J Pain Res
Li Z, Gu X, Cai H, Gang T, Yan Y, Zhao J, Liu X.   +6 more
europepmc   +1 more source

C-m-SUPERMAGIC LABELING OF FRIENDSHIP GRAPHS

, 2021
The friendship graph Fmn is obtained by joining n copies of the cycle graph Cm with a common vertex. In this work, we investigate the Cm-supermagic labeling of friendship graphs.
openaire   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Survey-calibrated agent-based modeling of peer targeting for promoting physical activity among adolescents. [PDF]

Front Public Health
Long W, Zheng B, Wu Z, Qian H, Zou Y, Tan J, Wang Y.   +6 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

On the local metric dimension of a lollipop graph, a web graph, and a friendship graph

Journal of Physics: Conference Series, 2017
A N Cahyabudi, T A Kusmayadi
openaire   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Attack and defense networks in a student social system. [PDF]

PLoS One
Morales-Huitrón A, Hernández-Hernández AM, Canto-Lugo E, Huerta-Quintanilla R.   +3 more
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Medication burden, adherence and health-related quality of life in COPD in China: a multilevel health system study. [PDF]

BMJ Public Health
Ma X, Li X, Shi C, Wang Y, Li W, Liu L.
europepmc   +1 more source