A5028969381- Particle Accelerators and Free-Electron Lasers
- Superconducting Materials and Applications
- Particle accelerators and beam dynamics
- Advanced X-ray Imaging Techniques
- Software Engineering Research
- Software Reliability and Analysis Research
- Magnetic confinement fusion research
- Magnetic Field Sensors Techniques
- Software Testing and Debugging Techniques
- Particle Detector Development and Performance
- Gyrotron and Vacuum Electronics Research
- Software System Performance and Reliability
- Spacecraft and Cryogenic Technologies
- Electric Motor Design and Analysis
- Photonic and Optical Devices
- Magnetic Properties and Applications
- Radiation Therapy and Dosimetry
- Atomic and Subatomic Physics Research
- Heat transfer and supercritical fluids
- Advancements in Photolithography Techniques
- Heat Transfer and Boiling Studies
- Advanced Thermodynamic Systems and Engines
- Laser-Plasma Interactions and Diagnostics
- Advanced Thermodynamics and Statistical Mechanics
- Adaptive optics and wavefront sensing
Institute of High Energy Physics
2002-2024
Chinese Academy of Sciences
2009-2024
West Virginia University
2011-2014
Changzhou Institute of Technology
2011
Deutsches Elektronen-Synchrotron DESY
1998-1999
Cornell University
1998
Article Abstract Objectives: To identify the determinants of adherence to immediate-release (IR) methylphenidate in children and adolescents with attention-deficit/hyperactivity disorder (ADHD); examine impact on ADHD-related symptoms; compare efficacy, adherence, side effects IR osmotic release oral system (OROS) methylphenidate. Method: This national survey, involving 12 hospitals, consisted 2 phases assessment. Treatment 240 (39.5%) 607 aged 5 16 years a clinical diagnosis DSM-IV ADHD...
Accurate detection of defects prior to product release helps software engineers focus verification activities on defect prone modules, thus improving the effectiveness development. A common scenario is use from releases build prediction model for upcoming release, typically through a supervised learning method. As development dynamic process, fault characteristics in subsequent may vary. Therefore, supplementing information with limited about current detected early seems offer intuitive and...
Accurate detection of fault prone modules offers the path to high quality software products while minimizing non essential assurance expenditures. This type modeling requires availability with known content developed in similar environment. Establishing whether a module contains or not can be expensive. The basic idea behind semi-supervised learning is learn from small number and supplement model training for which information available. In this study, we investigate performance prediction....
The nuclear envelope plays many roles, including organizing structure and regulating events. Molecular associations of proteins may contribute to the implementation these functions. Lamin, otefin, YA are three Drosophila known in early embryos. We used yeast two-hybrid system explore interactions between pairs proteins. ubiquitous major lamina protein, lamin Dm, interacts with both a peripheral protein inner membrane, YA, an essential, developmentally regulated lamina. In agreement this...
Background: Software quality prediction plays an important role in improving the of software systems. By mining metrics, predictive models can be induced that provide managers with insights into problems they need to tackle as effectively possible.
Background: Many statistical and machine learning techniques have been implemented to build predictive fault models. Traditional methods are based on supervised learning. Software metrics for a module corresponding information, available from previous projects, used train prediction model. This approach calls large size of training data set enables the development effective In practice, collection costs, lack earlier projects or product versions may make unattainable. Small that be current...
Accurate detection of software components that need to be exposed additional verification and validation offers the path high quality products while minimizing non essential assurance expenditures. In this type modeling we assume modules with known fault content developed in similar environment are available. Supervised learning algorithms traditional methods choice for training on existing modules. The models then used predict newly prior product release. However, one needs realize...
Synchrotron radiation facilities are indispensable in numerous forefront areas. Until now, the electron energies of all photon sources China have been medium- and low-energy regions. However, research related to national security industrial innovation has demonstrated urgent need for high-performance with high energy. For this purpose, a complex advanced sciences northern planned since 2009 [1 X.M. Jiang, The Chinese Project High Energy Photon Source Test span, Science G, press (in Chinese)....
Thanks to the ever increasing importance of project data, its collection has been one primary focuses software organizations. Data activities have resulted in availability massive amounts data through repositories. This is great news for predictive modeling research engineering. However, widely used supervised methods require labeled that relevant local context a project. requirement cannot be met by many available sets, introducing new challenges engineering research. How transfer between...