A5088014168- Gender Roles and Identity Studies
- Sex and Gender in Healthcare
- LGBTQ Health, Identity, and Policy
- Eosinophilic Esophagitis
- Energy Load and Power Forecasting
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Advanced Battery Technologies Research
- Engineering Technology and Methodologies
- Medical Imaging and Analysis
- Hybrid Renewable Energy Systems
- Advanced battery technologies research
- Adolescent and Pediatric Healthcare
- Dental Radiography and Imaging
Ningxia University
2021-2023
Tsinghua University
2023
Sichuan University
2019
State Key Laboratory of Oral Diseases
2019
Abstract In this study, multilayer perceptron artificial neural networks are used to predict orthodontic treatment plans, including the determination of extraction-nonextraction, extraction patterns, and anchorage patterns. The network can output feasibilities several applicable offering orthodontists flexibility in making decisions. models show an accuracy 94.0% for extraction-nonextraction prediction, with area under curve (AUC) 0.982, a sensitivity 94.6%, specificity 93.8%. accuracies...
<div class="section abstract"><div class="htmlview paragraph">Photovoltaic water electrolysis hydrogen production technology has garnered significant attention due to its zero carbon emissions and potential address the issue of grid fluctuations associated with solar power generation. However, direct coupling for photovoltaic electrolyzer system remains underdeveloped, leading predominance indirect methods. This limitation results in a low overall conversion efficiency, which...
Individuals with gender dysphoria display an incongruence between birth-assigned and expression. However, there is no existing Chinese measure for dysphoria.This study aims to validate the Utrecht Gender Dysphoria Scale - Spectrum (UGDS-GS) in a population, compare psychometric properties of UGDS-GS one frequently used scale measurement, Identity/Gender Questionnaire Adolescents Adults (GIDYQ-AA).A total 2646 participants were recruited. The following information was collected:...
Photovoltaic power generation and grid-connected technologies are being used more widely. The accurate prediction of photovoltaic can be beneficial to the stable operation grid. An improved method for predicting output characteristics cells based on combination BP neural network Elman in different weather is proposed. Compared with traditional network, a context layer added Elman, thereby reducing number iterations amount calculation. According using artificial intelligence irradiance,...