A5108054236- Astronomy and Astrophysical Research
- Entrepreneurship Studies and Influences
- Translation Studies and Practices
- Galaxies: Formation, Evolution, Phenomena
- Higher Education and Teaching Methods
- Advanced Computational Techniques and Applications
- Educational Technology and Assessment
- Crime Patterns and Interventions
- Face and Expression Recognition
- Video Analysis and Summarization
- Educational Technology and Pedagogy
- Natural Language Processing Techniques
- Evaluation Methods in Various Fields
- Sparse and Compressive Sensing Techniques
- Stellar, planetary, and galactic studies
- Education and Work Dynamics
- Data Mining Algorithms and Applications
- Image Processing Techniques and Applications
- Atomic and Molecular Physics
- Astrophysics and Cosmic Phenomena
- Advanced Wireless Communication Techniques
- China's Socioeconomic Reforms and Governance
- Astrophysical Phenomena and Observations
- Nuclear physics research studies
- Computational Drug Discovery Methods
Chuxiong Normal University
2011-2024
China University of Mining and Technology
2024
Fifth Tianjin Central Hospital
2022-2023
Xi'an Jiaotong University
2021
Xi'an University of Architecture and Technology
2021
Chongqing University
2019-2020
Harbin Institute of Technology
2017-2020
Ministry of Education of the People's Republic of China
2020
Chinese Academy of Sciences
2004-2018
University of Hawaii System
2016-2018
ABSTRACT We report the discovery of a remarkable concentration massive galaxies with extended X-ray emission at z spec = 2.506, which contains 11 ( M * ≳ 10 ⊙ ) in central 80 kpc region (11.6 σ overdensity). have spectroscopically confirmed 17 member from CO and remaining ones H α . The luminosity, stellar mass content, velocity dispersion all point to collapsed, cluster-sized dark matter halo 200 c 13.9±0.2 , making it most distant X-ray-detected cluster known date. Unlike other clusters...
Metamodeling is a promising technique for alleviating the computational burden of building energy simulation. Although various machine learning (ML) algorithms have been applied, interactive effects multiple factors on ML algorithm performance remain unclear. In this study, six popular algorithms, including ridge regression, random forest, extreme gradient boosting (XGBoost), support vector regression (SVR), k-nearest neighbor (KNN) and multi-layer perceptron (MLP), were analyzed benchmark...
We present the X-UDS survey, a set of wide and deep Chandra observations Subaru-XMM Deep/UKIDSS Ultra Deep Survey (SXDS/UDS) field. The survey consists 25 that cover total area 0.33 deg$^{2}$. are combined to provide nominal depth ~600 ksec in central 100 arcmin$^{2}$ region field has been imaged with Hubble/WFC3 by CANDELS $\sim$200 remainder In this paper, we outline survey's scientific goals, describe our observing strategy, detail data reduction point source detection algorithms. Our...
Using {\em Chandra} observations in the 2.15 deg$^{2}$ COSMOS legacy field, we present one of most accurate measurements Cosmic X-ray Background (CXB) spectrum to date [0.3-7] keV energy band. The CXB has three distinct components: contributions from two Galactic collisional thermal plasmas at kT$\sim$0.27 and 0.07 an extragalactic power-law with photon spectral index $\Gamma$=1.45$\pm{0.02}$. 1 normalization component is 10.91$\pm{0.16}$ cm$^{-2}$ s$^{-1}$ sr$^{-1}$ keV$^{-1}$. Removing all...
Drug-target interactions (DTIs) prediction is an important step in drug discovery. As traditional biological experiments or high-throughput screening are high cost and time-consuming, many deep learning models have been developed. Overfitting must be avoided when training models. We propose a simple framework, called OverfitDTI, for DTI prediction. In neural network (DNN) model overfit to sufficiently learn the features of chemical space drugs targets. The weights trained DNN form implicit...
Feature selection is an indispensable part in intrusion detection system to reduce irrelevant and redundant features save the from slow training testing process. In general, wrapper filter methods have been proposed for feature selection, but demand heavy computational resource cross validation while lack capability minimize generalization error. this paper we propose a hybrid model based on random forest particle swarm optimization which makes use of both independent measure learning...
The widespread use of artificial intelligence in the field design teaching has become a development trend, and for art profession, we should conform to actively adapt this change original mode, innovate their own methods, constantly enrich so as improve quality teaching, cultivate high‐quality talents new era. For subject students, they grow up under Internet. They are more affectionate many technologies, traditional methods have some problems meet learning needs, it is very necessary...
We present the deepest optical images of COSMOS field based on a joint dataset taken with Hyper Suprime-Cam (HSC) by HSC Subaru Strategic Program (SSP) team and University Hawaii (UH). The is one key extragalactic fields wealth deep, multi-wavelength data. However, current data are not sufficiently deep to match with, e.g., UltraVista in near-infrared. SSP UH have joined forces produce very combining from both teams. coadd reach depths g=27.8, r=27.7, i=27.6, z=26.8, y=26.2 mag at 5 sigma...
Unlikeonline shopping, it is difficult for the physical store to collect customer shopping data during process of and conduct in-depth mining. The existing methods solve this problem only considered how analyze data, but they have not paid attention large computation amount, bulk long time delay, in which can feedback user timely effectively. In paper, we present received signal strength passive radio frequency identification (RFID) tags that be used carry out on-site mining, such as items...
Computer network is the core course of engineering and related majors, which provides support for subsequent professional learning. In response to pain points traditional computer teaching, such as complexity theory poor applicability, lack incentive mechanisms active learning, low self-efficacy students in process evaluation, this paper proposes a hybrid teaching approach based on OBE education concept model “F-BOPPPS+M+N/”. The results data comparison before after reform show that,...
This paper focuses on innovating ideological and political teaching modes in Management Psychology courses, constructing practicing the “Four-Stage Case” “Three-Loop Guidance” modes. mode adopts a progressive case system consisting of life cases, role model local practical stimulating students’ interest thinking through deep interaction. Simultaneously, it integrates strategy cognition, emotion, behavior into process, comprehensively cultivating overall quality. has significantly improved...
Course arrangement is an important part of educational administration in university. With the improvement information system construction and development education reform, it brings up higher request for course arrangement. This paper proposed intelligent based on experience-computer, which solves problem by designing appropriate time pattern priority model, as well using heuristic algorithm, backtracking algorithm tabu search algorithm. It proven that embodies concept management improves...
With the increasing pace of education informationization, conventional mode in China is suffering unprecedented challenges. On one side, new thoughts and approaches are continuously putting forward, on other old conventions customs following beaten track. Confronted with fast-changing technologies which bring totally different ideas to us, how should we deal status what method take most urgent problems seriously think about. This paper begins origin revolution China, discusses impact modern...
The two-dimensional total routhian surface calculations have been carried out to study the triaxial superdeformed structure of a neutron-rich nucleus 173Hf firstly. In particular effects rotational frequency ω and pairing-energy gap parameter Δ are discussed in detail course shaping its superdeformation; additionally neutron-shell correction energy is analyzed with emphasis confirmed 173Hf. Finally, more systematical results investigated for some nuclei experimentally few predicted...