A5101309645- IoT and Edge/Fog Computing
- Psychosocial Factors Impacting Youth
- Age of Information Optimization
- X-ray Spectroscopy and Fluorescence Analysis
- Advanced Algorithms and Applications
- Educational Reforms and Innovations
- Educational Technology and Pedagogy
- Atomic and Molecular Physics
- Resilience and Mental Health
- Neural Networks and Applications
- Blind Source Separation Techniques
- Grit, Self-Efficacy, and Motivation
- Mass Spectrometry Techniques and Applications
- Medical Research and Treatments
- Blockchain Technology Applications and Security
Tianjin University
2024
Zhengzhou University of Aeronautics
2024
Sichuan University of Arts and Science
2024
Beijing Jiaotong University
2003
We present a systematic theoretical study on the angular distribution and linear polarization of x-ray line emissions neon-like ions following electron-impact excitation from ground state to excited levels [(2 p 5 ) 1/2 3 d 3/2 ] J =1 , 5/2 s . The cross sections are calculated by using flexible atomic code under configuration-interaction plus many-body perturbation theory method. obtained based density matrix theory. Emphasis has been placed effect configuration mixing polarization. It...
Abstract The integration of technology, practice, and theory in training English translation talent higher education presents a significant challenge. This study applies the ADDIE model to refine this pathway, aligning with contemporary developmental needs. Using AHP CRITIC methods, we established robust evaluation index for talent. A comprehensive survey involving students faculty evaluated training’s effectiveness using TOPSIS method. Results indicated notable increase student satisfaction...
ABSTRACT The role of students' well‐being in their academic development and growth has been reported the literature. Nonetheless, most previous studies have revolved around predictive interpersonal factors well‐being, influence personal is overlooked. To bridge this gap, study probed two attributes, namely mindfulness grit, English well‐being. accomplish this, three valid questionnaires were sent to 623 Chinese as a foreign language (EFL) students chosen from different institutes China....
Supervised multi-layer perceptron (MLP) network is an important kind of artificial neural model and have been used in many practical fields. In recent years, the EM (Expectation-Maximization) algorithm has to train MLP gotten good results. But main problem associated with local maxima problem. So we introduce deterministic annealing method combined into optimize training method. this paper deduce probability expression multi-output give DAEM process. Experiment proves that our efficient.