Results 91 to 100 of about 723,870 (293)

Multiple Twinning in Nacre and Aragonite

Advanced Functional Materials, EarlyView.
Electron backscatter diffraction map of a cluster of geologic aragonite, exhibiting single, double, and triple twins. The whole cluster is approximately 2 cm wide. Colors indicate crystal orientations, so that pixels where the a‐, b‐, and c‐axis is perpendicular to the image plane are green, red, and blue, respectively.
Connor A. Schmidt, William O. Nachlas, Bil Schneider, Xiaoming Mao, Eric Tambutté, Alexander A. Venn, Sylvie Tambutté, Pupa U. P. A. Gilbert   +7 more
wiley   +1 more source

Evaluation of four machine learning methods in predicting orthodontic extraction decision from clinical examination data and analysis of feature contribution

Frontiers in Bioengineering and Biotechnology
IntroductionThe study aims to predict tooth extraction decision based on four machine learning methods and analyze the feature contribution, so as to shed light on the important basis for experts of tooth extraction planning, providing reference for ...
Jialiang Huang, Jialiang Huang, Ian-Tong Chan, Zhixian Wang, Xiaoyi Ding, Ying Jin, Congchong Yang, Congchong Yang, Congchong Yang, Yichen Pan, Yichen Pan, Yichen Pan   +11 more
doaj   +1 more source

Naturally Derived Donor‐π‐Acceptor Compounds for Efficient Long‐Wavelength LEDs/Sunlight‐Induced Polymerization and High‐Precision Multiple 3D Printing

Advanced Functional Materials, EarlyView.
Two novel donor–π–acceptor photoinitiators enable ultrafast long‐wavelength photopolymerization under blue/green LEDs and sunlight. Effective at low intensities and concentrations, they overcome slow kinetics and permit rapid 3D printing via DLW, DLP, and LCD methods.
Ji Feng, Tong Gao, Fabrice Morlet‐Savary, Michael Schmitt, Céline Dietlin, Jing Zhang, Pu Xiao, Frédéric Dumur, Jean‐Patrick Joly, Jacques Lalevée   +9 more
wiley   +1 more source

Impact of The Covid-19 Pandemic on Student Learning Styles: Naïve Bayes and Decision Tree Classification in Education

Jurnal Sisfokom
The Covid-19 pandemic significantly changed education with social distancing and changes in the learning environment. In this study, one strong reason for the significance of the research is the urgency of changes in students' learning styles during the ...
Zaqi Kurniawan, Rizka Tiaharyadini
doaj   +1 more source

Multiple thresholds and trajectories of microbial biodiversity predicted across browning gradients by neural networks and decision tree learning. [PDF]

ISME Commun, 2021
Fontaine L, Khomich M, Andersen T, Hessen DO, Rasconi S, Davey ML, Eiler A.   +6 more
europepmc   +1 more source

Decision support methods in diabetic patient management by insulin administration neural network vs. induction methods for knowledge classification [PDF]

, 2000
Diabetes mellitus is now recognised as a major worldwide public health problem. At present, about 100 million people are registered as diabetic patients. Many clinical, social and economic problems occur as a consequence of insulin-dependent diabetes.
AMBROSIADOU, B. V., Gogou, G., Goulis, D., SHANKARAMAN, Venky, Vadera, S.   +4 more
core  

Dataset and Additional Information for the paper A LINEAR-ALGEBRAIC MODEL FOR ESTIMATING ANTI-LEARNING WHEN A DECISION TREE SOLVES THE PARITY BIT PROBLEM, by ALEXEI LISITSA and ALEXEI VERNITSKI (submitted)

, 2022
Alexei Vernitski, Alexei Lisitsa
openalex   +2 more sources

Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis [PDF]

, 2022
Yaoxiang Ren, Chaoyi Lu, Han Yang, Qianyue Ma, Wesley R. Barnhart, Jianjun Zhou, Jinbo He   +6 more
openalex   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees

, 2022
Leonardo Lucio Custode, Federico Mento, Francesco Tursi, Andrea Smargiassi, Riccardo Inchingolo, Tiziano Perrone, Libertario Demi, Giovanni Iacca   +7 more
openalex   +2 more sources