A5100458626- Black Holes and Theoretical Physics
- Cosmology and Gravitation Theories
- Astronomy and Astrophysical Research
- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Advanced Statistical Methods and Models
- Noncommutative and Quantum Gravity Theories
- Spectroscopy and Chemometric Analyses
- Astrophysics and Cosmic Phenomena
- Creativity in Education and Neuroscience
- Astronomical Observations and Instrumentation
- Astrophysical Phenomena and Observations
- Gamma-ray bursts and supernovae
- Radio Astronomy Observations and Technology
- Statistical Methods and Inference
- Market Dynamics and Volatility
- Geophysics and Gravity Measurements
- Time Series Analysis and Forecasting
- Climate variability and models
- Energy, Environment, Economic Growth
- Stock Market Forecasting Methods
- Spectroscopy Techniques in Biomedical and Chemical Research
- High-pressure geophysics and materials
- Impact of Light on Environment and Health
- Ionosphere and magnetosphere dynamics
Zhejiang Ocean University
2025
Ministry of Education of the People's Republic of China
2022-2025
Southwest University
2021-2025
Beijing Normal University
2005-2025
National Astronomical Observatories
2018-2024
Chinese Academy of Sciences
2018-2024
Beijing University of Posts and Telecommunications
2024
University of Miyazaki
2022-2024
Institute of Tibetan Plateau Research
2018-2024
Guangzhou University
2008-2023
Abstract Novelty and appropriateness are two fundamental components of creativity. However, the way in which novelty separated at behavioral neural levels remains poorly understood. In present study, we aim to distinguish bases creative idea generation. alignment with established theories thinking, respectively, emphasize semantic association executive control, results indicate that relies more on associative abilities, while functions. Next, employing a connectome predictive modeling (CPM)...
Respiratory syncytial virus (RSV), the major cause of lower respiratory tract disease in infants, is thought to infect upper airways before spreading tract. A rhesus monkey model RSV infection after airway inoculation was used test protective effect intranasal treatment with HNK20, a mouse monoclonal IgA antibody against F glycoprotein. HNK20 administered once daily for 2 days challenge and 4 challenge. Treatment 0.5 mg/kg reduced viral shedding nose, throat, lungs by 3–4 log10/mL (P ⩽...
Observations suggest that γ-ray loud blazars are strongly beamed. The Fermi mission has detected many of blazars, which provide us with a good opportunity to investigate the emission mechanism and beaming effect in region. We compiled X-ray observations for 138 (54 flat spectrum radio quasars, 36 low-peaked BL Lacertae objects, 48 high-peaked objects) calculated their Doppler factors, δγ. It is interesting δγ, correlated luminosity.
We aim to select quasar candidates based on the two large survey databases, Pan-STARRS and AllWISE. Exploring distribution of quasars stars in color spaces, we find that combination infrared optical photometry is more conducive candidates. Two new criterions (yW1W2 izW1W2) are constructed distinguish from efficiently. With izW1W2, 98.30% star contamination eliminated, while 99.50% retained, at least magnitude limit our training set stars. Based features, put forward an efficient schema high...
ABSTRACT This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; starforming, starburst, AGN, broad-line), quasars, stars. We utilized samples from Sloan Digital Sky Survey (SDSS) Data Release 17 (DR17) ALLWISE catalogue, which contain spectroscopically labelled SDSS. Our methodology comprises two parts. First, we conducted experiments, three-class, four-class, seven-class...
The main objective of this experiment was to study the metabolism arginine in juvenile largemouth bass (Micropterus salmoides). A total 300 healthy fish (average weight 25 ± 0.5 g) were randomly assigned ten groups. Experimental orally administered or intraperitoneally injected with 0.9% sodium chloride, arginine, arginine-aspartate, citrulline, and glutamate solutions, respectively. They euthanized at 10, 30, 60, 120, 240 min after oral administration intraperitoneal injection, various...
Visible and near-infrared reflectance spectroscopy is widely used to determine the surface composition maturity of Moon, but it may be influenced by observation geometry. In situ crucial for understanding angular scattering behaviour lunar can help link laboratory measurements with orbital remote sensing. The Chang’e-4 (CE-4) rover has been exploring on five years collected in spectral data covering a wide range measurement angles. Our aim investigate impact different spatial scales (from...
On the basis of confluence theories creativity, creative ideation depends on forging links between existing memory traces. The synergy and thought is well-established, but neural dynamics integration for creativity are understudied. Here, we extended traditional paradigm. Participants read, recalled narratives, wrote endings. Computational linguistic analysis showed that those integrating more noncentral events—those less semantically connected to other events within narrative—wrote original...
Summary We consider the problem of approximating smoothing spline estimators in a nonparametric regression model. When applied to sample size $n$, estimator can be expressed as linear combination $n$ basis functions, requiring $O(n^3)$ computational time when number $d$ predictors is two or more. Such sizeable cost hinders broad applicability splines. In practice, full-sample approximated by an based on $q$ randomly selected resulting $O(nq^2)$. It known that these converge at same rate...
Abstract This paper aims at the imbalanced characteristics and proposes a novel evolutionary cost‐sensitive support vector machine (CSSVM) by integrating learning, machine, genetic algorithm for carbon price trend prediction. First, prediction is converted into binary‐class problem CSSVM, in which higher misclassification cost imposed on minority samples. In comparison, more negligible most Second, (GA) used to optimize all parameters of CSSVM synchronously. Taking Beijing, Hubei, Guangdong...
Optical path length (OPL) noise resulting from stray light significantly constrains interferometry displacement measurements in the low-frequency band. This paper presents an analytical model considering presence of heterodyne laser interferometers. Due to cyclic nonlinear coupling effect, there will be some special OPLs light, minimizing frequency-mixing impact zero. Consequently, we propose a suppression scheme that locks OPL at zero point. Therefore, enhanced interference measurement...
The \gamma-ray loud blazars (flat spectrum radio quasars--FSRQs and BL Lacertae objects-BLs) are very bright in the bands, which is perhaps associated with a beaming effect. Therefore, one can expect that luminosity correlated factor. In this paper, we investigated relation between Doppler factors gamma-ray luminosities. Our analysis suggests be strongly factor of \delta_R for whole sample, FSRQs, BLs. When effect common redshift excluded, correlation still exists FSRQs sub-sample suggesting...
Abstract It is essential to predict carbon prices precisely in order reduce CO 2 emissions and mitigate global warming. As a solution the limitations of single machine learning model that has insufficient forecasting capability price prediction problem, (GWO–XGBOOST–CEEMDAN) based on combination grey wolf optimizer (GWO), extreme gradient boosting (XGBOOST), complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) put forward this paper. First, random forest (RF) method...
Correlating BASS DR3 catalogue with ALLWISE database, the data from optical and infrared information are obtained. The quasars SDSS taken as training test samples while those LAMOST considered external sample. We propose two schemes to construct redshift estimation models XGBoost, CatBoost Random forest. One scheme (namely one-step model) is predict photometric redshifts directly based on optimal created by these three algorithms; other two-step firstly classify into low- high- datasets,...
Abstract Creativity, the ability to generate original and valuable products, has long been linked semantic retrieval processes. The associative theory of creativity posits flexible as an important basis for creative idea generation. However, there is insufficient research on how memory acts activities. This study aimed capture different dynamic aspects processes examine behavioral neural associations between flexibility creativity. We developed 5 metrics quantify based previous studies,...
Creativity is critical to economic growth and societal progress. However, assessing creativity using objective approaches remains a challenge. To address this, we employ three indicators based on semantic distance quantify the originality appropriateness of by analyzing long texts in story-writing experiment. Global local distances were generated separately computing mean whole text between adjacent sentences, they positively correlated with story writing. cohesion was rationality writing,...
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations it present large computational difficulties due to multi-electron multidimensional effects. In this paper, time-dependent response hydrogen calculated using a time-series prediction scheme, HHG spectrum reconstructed very accurately. The accuracy forecasting further improved by neural network scheme. This...
The accurate estimation of photometric redshifts plays a crucial role in accomplishing science objectives the large survey projects. template-fitting and machine learning are two main types methods applied currently. Based on training set obtained by cross-correlating DESI Legacy Imaging Surveys DR9 galaxy catalogue SDSS DR16 catalogue, kinds used optimized, such as EAZY for approach CATBOOST learning. Then created models tested cross-matched samples SurveysDR9 with LAMOST DR7, GAMA DR3...
Abstract As astronomical data sets become too large for traditional analysis approaches, more machine-learning algorithms are employed in astronomy. A wealth of light variation have been accumulated, which provide rich samples astronomers to study variable stars. Facing the challenge big data, this article takes classification and transient objects observed by Zwicky Transient Facility (ZTF) as main goal, a self-paced ensemble (SPE) imbalanced-learning classifier is constructed separate...