- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Black Holes and Theoretical Physics
- Atomic and Subatomic Physics Research
- Particle Accelerators and Free-Electron Lasers
- Medical Imaging Techniques and Applications
- Nuclear physics research studies
- Advanced NMR Techniques and Applications
- Distributed and Parallel Computing Systems
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Face recognition and analysis
- Software Engineering Research
- Quantum, superfluid, helium dynamics
- Digital Radiography and Breast Imaging
- Safety and Risk Management
- Superconducting Materials and Applications
- Maritime Ports and Logistics
- Power Line Inspection Robots
University of Jinan
2024-2025
Ningbo Polytechnic
2025
China University of Mining and Technology
2025
University of Michigan–Ann Arbor
2017-2024
University of Chinese Academy of Sciences
2019-2024
Xi'an Polytechnic University
2024
Institute of High Energy Physics
2019-2024
Fudan University
2024
Tel Aviv University
2017-2024
COMSATS University Islamabad
2024
We have measured the transverse asymmetry ${A}_{{T}^{\ensuremath{'}}}$ in ${}^{3}\stackrel{\ensuremath{\rightarrow}}{\mathrm{He}}(\stackrel{\ensuremath{\rightarrow}}{e}{,e}^{\ensuremath{'}})$ quasielastic scattering Hall A at Jefferson Laboratory with high precision for ${Q}^{2}$ values from 0.1 to $0.6(\mathrm{GeV}/c{)}^{2}$. The neutron magnetic form factor ${G}_{M}^{n}$ was extracted based on Faddeev calculations ${Q}^{2}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}0.1$ and...
Due to the integration of distributed photovoltaic (PV) into distribution networks, significant challenges have affected voltage regulation and power quality maintenance. To improve flexibility stability system operation, a synergetic optimization operation method based on PV flexible interconnection device (FID) is proposed. Both FID hold capability controlling active reactive power. Besides output PV, three schemes factor controlling, direct output, night static var generator scheme are...
Abstract In order to provide students with dynamic and personalized academic early warning services, at the same time university administrators data-supported decision-making, this paper uses data cleaning, transformation normalization methods preprocess normalize it into an analyzable dataset according characteristics of educational data. For dataset, model (TabNet) combined KNN neural network algorithm is proposed train analyze compare its performance BP algorithm. Finally, provides ideas...
A high precision measurement of the transverse spin-dependent asymmetry ${A}_{{T}^{\ensuremath{'}}}$ in ${}^{3}\mathrm{He}\ensuremath{\rightarrow}(\stackrel{\ensuremath{\rightarrow}}{e}{,e}^{\ensuremath{'}})$ quasielastic scattering was performed Hall at Jefferson Lab values squared four-momentum transfer, ${Q}^{2},$ between 0.1 and 0.6 $(\mathrm{G}\mathrm{e}\mathrm{V}/{c)}^{2}.$ is sensitive to neutron magnetic form factor, ${G}_{M}^{n}.$ Values ${G}_{M}^{n}$ ${Q}^{2}=0.1$...
We have measured the transverse asymmetry AT' in quasielastic 3He→(e→,e') process with high precision at Q2 values from 0.1 to 0.6(GeV/c)2. The neutron magnetic form factor GMn was extracted of and 0.2(GeV/c)2 using a nonrelativistic Faddeev calculation which includes both final-state interactions (FSI) meson-exchange currents (MEC). Theoretical uncertainties due FSI MEC effects were constrained measurement spin-dependent threshold region 3He→(e→,e'). also 0.3 0.6(GeV/c)2 based on plane wave...
Wind energy is an effective way to reduce emissions in ports. However, port wind power generation exhibits strong intermittency and randomness. Predicting speed enables timely scheduling of operations improves utilization efficiency. To achieve high accuracy rapid prediction speed, this paper proposes a model based on the Sparrow Search Algorithm (SSA) optimized Wavelet Neural Network (WNN). Firstly, SSA used optimize Mean Squared Error (MSE) as fitness function during training process WNN...
The generalized forward spin polarizabilities γ0 and δLT of the neutron have been extracted for first time in a Q2 range from 0.1 to 0.9 GeV2. Since is sensitive nucleon resonances insensitive Δ resonance, it expected that pair should provide benchmark tests current understanding chiral dynamics QCD. new results on show significant disagreement with perturbation theory calculations, while data at low are good agreement next-to-leading-order relativistic baryon calculation. phenomenological...
The differential cross section for the gamma +n --> pi- + p and pi+ n processes were measured at Jefferson Lab. photon energies ranged from 1.1 to 5.5 GeV, corresponding center-of-mass 1.7 3.4 GeV. pion angles varied 50 degree 110 degree. photoproduction data both exhibit a global scaling behavior high transverse momenta, consistent with constituent counting rule prediction existing data. suggest possible substructure of behavior, which might be oscillations around value. show an enhancement...
The optimized certainty equivalent (OCE) is a family of risk measures that cover important examples such as entropic risk, conditional value-at-risk and mean-variance models. In this paper, we propose new episodic risk-sensitive reinforcement learning formulation based on tabular Markov decision processes with recursive OCEs. We design an efficient algorithm for problem value iteration upper confidence bound. derive bound the regret proposed algorithm, also establish minimax lower Our bounds...
We have measured the nuclear transparency of fundamental process $\gamma$ n $\to \pi^-$ p in $^4$He. These measurements were performed at Jefferson Lab photon energy range 1.6 to 4.5 GeV and $\theta^{\pi}_{cm}= 70^\circ$ $90^\circ$. are first their kind study photoreactions. They also provide a benchmark test Glauber calculations based on traditional models physics. The results suggest deviations from physics picture. momentum transfer dependence is consistent with which include quantum...
An adaptive state feedback control has been designed for direct torque and stator flux regulation with a fifth-order model of an induction motor. The design is based on exact input–output decoupling linearisation via non-linear feedback. To achieve control, it shown that the tracking dynamics respect to outputs (stator amplitude electrical torque) asymptotically stable at admissible operating equilibrium. In uncertainty in resistances rotor considered, adaptation law guarantee boundedness...
We present a novel approach to the problem of dynamic program analysis: writing analysis code directly into source, but evaluating it against recording original program's execution. This allows developers reason about their in familiar context its actual and take full advantage semantics, data structures, library functionality for understanding It also gives them hindsight, letting easily analyze unexpected behavior after has occurred. Our position is that offline as retroactive aspects...
Accurate power load prediction at different periods can provide an essential basis for energy consumption reduction and scheduling. Particle swarm optimization (PSO) long short-term memory (LSTM) neural networks were introduced into the forecasting method of electric load. First, aiming problem that it is difficult to select LSTM hyper-parameters, hyper-parameters including learning rate number neurons optimized by using PSO algorithm. Then, PSO-LSTM based model was established, with optimal...
Text-based person re-identification (ReID) aims to identify images of the targeted from a large-scale image database according given textual description. Most existing methods focus on establishing instance-level and word-region-level correspondences. However, these generally rely heavily similarity contributed by matched word-region pairs while neglecting decisive mismatched pairs, resulting in false-positive matching. Accordingly, we propose mine examples (MFPE) via jointly optimized...
As vital hubs integrating energy and transportation connecting water land transportation, ports are confronted with significant pressure in light of the goals carbon peaking neutrality. This study addresses consumption emission challenges container seaports. The primary energy-consuming equipment sources identified, strategies for achieving neutrality analyzed. evaluates effectiveness various approaches reducing footprint Furthermore, a framework multi-integrated system is proposed, its key...