Results 51 to 60 of about 69,371,906 (219)

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Genome-Wide Identification and Characterization of the Salvia miltiorrhiza Histone Deacetylase (HDAC) Family in Response to Multiple Abiotic Stresses

open access: yesPlants
Salvia miltiorrhiza is a plant commonly used in traditional Chinese medicine. Its material bases for treating diseases are tanshinones and phenolic acids, including salvianolic acids.
Junyu Chen   +5 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Exponent growth in groups acting on regular rooted trees [PDF]

open access: yes
openWhenever G is a group acting on a regular rooted tree, it is possible to define a canonical chain {Ni} of finite-index normal subgroups of G, which take the name of level stabilizers in G.
MAINI, ELENA
core  

The sacral significance of forests and trees in the religions, philosophies, and spirituality

open access: yesOpuscula Theologica et Scientifica
The immense stature and enduring lifespan of trees and forests have undeniably left a profound impact on the creative minds of preliterate societies.
Ferenc Mics
doaj   +2 more sources

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Effect of Salicylic Acid and Silver Nitrate on Taxol Production in Taxus baccata

open access: yesJournal of Medicinal Plants, 2012
Background: Taxol is an effective anticancer drug used widely in the treatment of a variety of cancers, including carcinomas of the ovary and breast. Taxol was originally isolated from the bark of Pacific yew tree Taxus bervifolia L..
G Asghari   +3 more
doaj  

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Sperm whale hotspots off western Ireland and the importance of dynamic variables as shown by a multiscale Bayesian additive regression trees workflow

open access: yesFrontiers in Marine Science
Species distribution models are increasingly used to understand species’ environmental preferences and habitat use as a means to inform management decisions.
Cynthia Barile   +6 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy