Use of the proposed computer modeling technology with taking into account the individual face size based upon multivariate statistical analysis with the possibility of art editing during the final stage of modeling let to take into consideration individual peculiarities of face structure and gender differences and to recreate individual form and sizes of front artificial teeth for non removable prosthetics. The results of computer modeling use in prosthetic treatment of patients with front teeth loss and the results of comparison with traditional method and also with preliminary use of computer modeling were demonstrated.
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Soft comput
September 2024
School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, 410151 Hunan China.
[This retracts the article DOI: 10.1007/s00500-023-08073-4.].
View Article and Find Full Text PDFScience
January 2025
Electrical and Computer Engineering Department, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, USA.
Genomes contain mosaics of discordant evolutionary histories, challenging the accurate inference of the tree of life. While genome-wide data are routinely used for discordance-aware phylogenomic analyses, due to modeling and scalability limitations, the current practice leaves out large chunks of genomes. As more high-quality genomes become available, we urgently need discordance-aware methods to infer the tree directly from a multiple genome alignment.
View Article and Find Full Text PDFPLoS One
January 2025
Renewable Energy Science and Engineering Department, Faculty of Postgraduate Studies for Advanced Sciences (PSAS), Beni-Suef University, Beni-Suef, Egypt.
This study presents a comprehensive comparative analysis of Machine Learning (ML) and Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on environmental variables such as temperature, humidity, wind speed, and wind direction. Along with Artificial Neural Network (ANN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN), the following ML models were looked at: Linear Regression (LR), Support Vector Regressor (SVR), Random Forest (RF), Extra Trees (ET), Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). Using a dataset of 40,000 observations, the models were assessed based on R-squared, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE).
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Ernst Strüngmann Institute, Frankfurt am Main 60528, Germany.
The dynamics of neuronal systems are characterized by hallmark features such as oscillations and synchrony. However, it has remained unclear whether these characteristics are epiphenomena or are exploited for computation. Due to the challenge of selectively interfering with oscillatory network dynamics in neuronal systems, we simulated recurrent networks of damped harmonic oscillators in which oscillatory activity is enforced in each node, a choice well supported by experimental findings.
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
Qinghai Provincial Key Laboratory of Tibetan Medicine Research and CAS Key Laboratory of Tibetan Medicine Research, Northwest Institute of Plateau Biology, Chinese Academy of Science, Xining, 810008, P.R. China.
NAFLD is one of the most common and rapidly increasing liver diseases. Procyanidin C1 and procyanidin C2, B-type trimeric procyanidins, show beneficial effects on regulating lipid metabolism. However, the mechanism underlying these effects remain elusive.
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