Results 41 to 50 of about 81,918 (262)

Identification and Quantification of β-Sitosterol β-d-Glucoside of an Ethanolic Extract Obtained by Microwave-Assisted Extraction from Agave angustifolia Haw

Molecules, 2019
β-sitosterol β-d-glucoside (BSSG) was extracted from “piña” of the Agave angustifolia Haw plant by microwave-assisted extraction (MAE) with a KOH solution such as a catalyst and a conventional maceration method to determine the
Herminia López-Salazar, Brenda Hildeliza Camacho-Díaz, Sandra Victoria Ávila-Reyes, Ma Dolores Pérez-García, Manases González- Cortazar, Martha L. Arenas Ocampo, Antonio R. Jiménez-Aparicio   +6 more
doaj   +1 more source

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

Advanced 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, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Using artificial intelligence for wind speed prediction [PDF]

E3S Web of Conferences
Accurate wind speed prediction is critical for renewable energy management, agriculture, and weather forecasting. This study investigates the use of machine learning techniques for predicting daily average wind speed using meteorological features ...
Omari Asem, Alazzam Azmi, Badreddine Said, Abu Sharkh Hani, Alazzam Yasmeen, Bani Mustafa Ahmed, Al Alawi Roudha   +6 more
doaj   +1 more source

Experiences and expectations regarding COVID-19 prevention and control measures among the hill tribe population of northern Thailand: a qualitative study

BMC Public Health, 2021
Background COVID-19 has been a major human threat for a year. A large number of people have been infected and killed globally, including hill tribe people living in remote and border areas between Thailand and Myanmar.
Siwarak Kitchanapaibul, Anusorn Udplong, Tawatchai Apidechkul, Ratipark Tamornpark, Thanatchaporn Mulikaburt, Peeradone Srichan, Soontaree Suratana, Fatima Yeemard, Pilasinee Wongnuch   +8 more
doaj   +1 more source

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

Advanced 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, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Quercetin Isolation Methods from Various Plant Samples by Traditional Extraction Method, Microwave, and Ultrasonic Assisted Extraction Techniques: A Review

Journal of Food and Pharmaceutical Sciences
Free radicals are highly reactive atoms with unpaired electrons, produced by factors like radiation, pollution, and poor diet, causing oxidative stress and cell damage.
I Putu Gede Rama Raditya, Ni Made Pitri Susanti, Luh Putu Mirah Kusuma Dewi   +2 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Implementation of the CNN-LSTM Hybrid Model in Predicting Bitcoin Price Fluctuations

Jurnal Teknologi dan Manajemen Informatika
Digital financial systems of today face formidable obstacles from the extreme price volatility and unpredictability of Bitcoin. Data cleaning, Min-Max normalization, and sequence creation with a sliding window were performed on the daily BTC-USD ...
Candra Wibowo, Ronsen Purba, Muhammad Fermi Pasha   +2 more
doaj   +1 more source

Three novel species and new records of Kirschsteiniothelia (Kirschsteiniotheliales) from northern Thailand [PDF]

MycoKeys
Kirschsteiniothelia (Kirschsteiniotheliales, Pleosporomycetidae) includes 39 saprobic species recorded from dead or decaying wood in terrestrial and freshwater habitats.
Antonio Roberto Gomes de Farias, Naghmeh Afshari, Veenavee S. Hittanadurage Silva, Johnny Louangphan, Omid Karimi, Saranyaphat Boonmee   +5 more
doaj   +3 more sources

Novel species of Pestalotiopsis fungi on Dracaena from Thailand

Mycology, 2020
A survey of the diversity and distribution of microfungi on Dracaena leaf litter in Songkhla Province (Thailand) yielded two collections of pestalotiopsis-like fungi.
Napalai Chaiwan, Dhanushka N. Wanasinghe, Ausana mapook, Ruvishika S. Jayawardena, Chada Norphanphoun, Kevin D. Hyde   +5 more
doaj   +1 more source