Yongjia Wang
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View article: Effect of High-Frequency Stellate Ganglion Block on Sleep and Affective Symptoms in Insomnia Disorder: A Prospective Clinical Study
Effect of High-Frequency Stellate Ganglion Block on Sleep and Affective Symptoms in Insomnia Disorder: A Prospective Clinical Study Open
Background Insomnia disorder imposes substantial health burdens, while current pharmacotherapies risk adverse effects and cognitive behavioral therapy face implementation barriers. Stellate ganglion block (SGB) modulates autonomic function…
View article: Probing the Three-dimension Emission Source and Neutron Skin via $π$-$π$ Correlations in Heavy-Ion Collisions
Probing the Three-dimension Emission Source and Neutron Skin via $π$-$π$ Correlations in Heavy-Ion Collisions Open
The Richardson-Lucy algorithm is applied to reconstruct the three-dimensional source function of identical pions from their two-particle correlation functions. The algorithm's performance is first evaluated through simulations with Gaussia…
View article: Unlocking the initial neutron density distribution from the two-pion HBT correlation function in heavy-ion collisions
Unlocking the initial neutron density distribution from the two-pion HBT correlation function in heavy-ion collisions Open
Revealing the neutron density distribution in the nucleus is one of the crucial tasks of nuclear physics. Within the framework of the ultrarelativistic quantum molecular dynamic model followed by a correlation afterburner program, we inves…
View article: The influence of Pauli blocking on the deducing of the in-medium nucleon-nucleon elastic cross section
The influence of Pauli blocking on the deducing of the in-medium nucleon-nucleon elastic cross section Open
View article: Mapping low-lying states and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi>B</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>E</mml:mi><mml:mn>2</mml:mn><mml:mo>;</mml:mo><mml:msubsup><mml:mrow><mml:mn>0</mml:mn></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow><mml:mrow><mml:mo linebreak="badbreak" linebreakstyle="after">+</mml:mo></mml:mrow></mml:msubsup><mml:mo stretchy="false">→</mml:mo><mml:msubsup><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow><mml:mrow><mml:mo linebreak="badbreak" linebreakstyle="after">+</mml:mo></mml:mrow></mml:msubsup><mml:mo stretchy="false">)</mml:mo></mml:math> in even-even nuclei with machine learning
Mapping low-lying states and in even-even nuclei with machine learning Open
A machine-learning algorithm, Light Gradient Boosting Machine, was applied for the first time to investigate the fundamental experimental observables in even-even nuclei over the Segrè chart. Specifically, we focused on the excitation ener…
View article: Isospin-dependent in-medium nucleon-Delta elastic cross section
Isospin-dependent in-medium nucleon-Delta elastic cross section Open
In heavy-ion collisions at intermediate energies, the production and propagation of $Δ$ particles are crucial to understanding the nuclear equation of state and inferring the properties of nuclear matter at high densities. Based on the sel…
View article: Importance of physical information on the prediction of heavy-ion fusion cross section with machine learning
Importance of physical information on the prediction of heavy-ion fusion cross section with machine learning Open
In this work, the Light Gradient Boosting Machine (LightGBM), which is a modern decision tree based machine-learning algorithm, is used to study the fusion cross section (CS) of heavy-ion reaction. Several basic quantities (e.g., mass numb…
View article: Studies of nuclear equation of state with the HIRFL-CSR external-target experiment
Studies of nuclear equation of state with the HIRFL-CSR external-target experiment Open
The HIRFL-CSR external-target experiment (CEE) under construction is expected to provide novel opportunities to the studies of the thermodynamic properties, namely the equation of state of nuclear matter (nEOS) with heavy ion collisions at…
View article: Constraining the Woods-Saxon potential in fusion reactions based on the neural network
Constraining the Woods-Saxon potential in fusion reactions based on the neural network Open
The accurate determination of the nuclear interaction potential is essential for predicting the fusion cross sections and understanding the reaction mechanism, which plays an important role in the synthesis of superheavy elements. In this …
View article: Machine learning transforms the inference of the nuclear equation of state
Machine learning transforms the inference of the nuclear equation of state Open
Our knowledge of the properties of dense nuclear matter is usually obtained indirectly via nuclear experiments, astrophysical observations, and nuclear theory calculations. Advancing our understanding of the nuclear equation of state (EOS,…
View article: Probing the nucleon effective mass splitting with the light particle emission
Probing the nucleon effective mass splitting with the light particle emission Open
In this work, we first analyze the correlations among different nuclear matter parameters which are obtained by the 119 effective Skyrme interaction sets. The values of the correlation coefficients illustrate that the magnitude of the effe…
View article: Effects of sequential decay on collective flows and nuclear stopping power in heavy-ion collisions at intermediate energies
Effects of sequential decay on collective flows and nuclear stopping power in heavy-ion collisions at intermediate energies Open
In this study, the rapidity distribution, collective flows, and nuclear stopping power in $$^{197}$$ Au+ $$^{197}$$ Au collisions at intermediate energies were investigated using the ultrarelativistic quantum molecular dynamics (UrQM…
View article: Replication Data for: IHC pictures for AHCTF1 of All Life
Replication Data for: IHC pictures for AHCTF1 of All Life Open
IHC pictures for AHCTF1 in GBM and LIHC cancer cells.
View article: Elliptic flow in heavy-ion collisions at intermediate energy: The role of impact parameter, mean field potential, and collision term
Elliptic flow in heavy-ion collisions at intermediate energy: The role of impact parameter, mean field potential, and collision term Open
Within the ultrarelativistic quantum molecular dynamics (UrQMD) model, by reversely tracing nucleons that are finally emitted at mid-rapidity (|y0| < 0.1) in the entire reaction process, the time evolution of elliptic flow (v2) of these tr…
View article: Impacts of momentum dependent interaction, symmetry energy and near-threshold $NN\to NΔ$ cross sections on isospin sensitive flow and pion observables
Impacts of momentum dependent interaction, symmetry energy and near-threshold $NN\to NΔ$ cross sections on isospin sensitive flow and pion observables Open
Based on the ultra-relativistic quantum molecular dynamics (UrQMD) model, the impacts of momentum dependent interaction, symmetry energy and near-threshold $NN\to NΔ$ cross sections on isospin sensitive collective flow and pion observables…
View article: Boosting Sodium-Storage Behaviors of Nasicon-Type Nati2(Po4)3 Anode by Synergistic Modulations in Both Materials and Electrolytes Towards Aqueous Na-Ion Batteries
Boosting Sodium-Storage Behaviors of Nasicon-Type Nati2(Po4)3 Anode by Synergistic Modulations in Both Materials and Electrolytes Towards Aqueous Na-Ion Batteries Open
View article: How Do Constraints of Nuclear Symmetry Energy Reconcile with Different Models?
How Do Constraints of Nuclear Symmetry Energy Reconcile with Different Models? Open
By simultaneously describing the data of isospin sensitive nucleonic flow and pion observables, such as $v_2^n/v_2^{ch}$ and $π^-/π^+$, with ultra-relativistic quantum molecular dynamics (UrQMD) model, we got the symmetry energy at flow an…
View article: The interplay of transcriptional coregulator NUPR1 with SREBP1 promotes hepatocellular carcinoma progression via upregulation of lipogenesis
The interplay of transcriptional coregulator NUPR1 with SREBP1 promotes hepatocellular carcinoma progression via upregulation of lipogenesis Open
Nuclear protein 1 (NUPR1) is a transcriptional coregulator that has been implicated in the development of various cancer types. In addition, de novo fatty acid synthesis plays a pivotal role in hepatocellular carcinoma (HCC) development. H…
View article: Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning
Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning Open
Inferences of the nuclear symmetry energy from heavy-ion collisions are currently based on the comparison of measured observables and transport model simulations. Only the expectation values of observables over all considered events are us…
View article: Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term
Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term Open
Within the ultrarelativistic quantum molecular dynamics (UrQMD) model, by reverse tracing nucleons that are finally emitted at mid-rapidity (|$y_0$| < 0.1) in the entire reaction process, the time evolution of elliptic flow ($v_2$) of thes…
View article: Effects of Initial Density Fluctuations on Cumulants in Au + Au Collisions at sNN = 7.7 GeV
Effects of Initial Density Fluctuations on Cumulants in Au + Au Collisions at sNN = 7.7 GeV Open
Within the ultrarelativistic quantum molecular dynamics (UrQMD) model, the effect of initial density fluctuations on cumulants of the net-proton multiplicity distribution in Au + Au Collisions at sNN = 7.7 GeV was investigated by varying t…
View article: Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning
Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning Open
Inferences of the nuclear symmetry energy from heavy-ion collisions are currently based on the comparison of measured observables and transport model simulations. Only the expectation values of observables over all considered events are us…
View article: TXN inhibitor impedes radioresistance of colorectal cancer cells with decreased ALDH1L2 expression via TXN/NF-κB signaling pathway
TXN inhibitor impedes radioresistance of colorectal cancer cells with decreased ALDH1L2 expression via TXN/NF-κB signaling pathway Open
Background Colorectal cancer (CRC) is prevalent worldwide and is often challenged by treatment failure and recurrence due to resistance to radiotherapy. Here, we aimed to identify the elusive underlying molecular mechanisms of radioresista…
View article: Transport model comparison studies of intermediate-energy heavy-ion collisions
Transport model comparison studies of intermediate-energy heavy-ion collisions Open
View article: Performance evaluation and thermal analysis of heat pipe flue gas waste heat utilization system
Performance evaluation and thermal analysis of heat pipe flue gas waste heat utilization system Open
A heat pipe flue gas waste heat utilization system is installed in front of the inlet of the electrostatic precipitator of a boiler to heat the condensate of the steam turbine. In order to understand the performance characteristics of the …
View article: Accessing the in-medium effects on nucleon-nucleon elastic cross section with collective flows and nuclear stopping
Accessing the in-medium effects on nucleon-nucleon elastic cross section with collective flows and nuclear stopping Open
View article: Accessing the in-medium effects on nucleon-nucleon elastic cross section with collective flows and nuclear stopping
Accessing the in-medium effects on nucleon-nucleon elastic cross section with collective flows and nuclear stopping Open
A systematic study of the in-medium correction factor ($F$) on nucleon-nucleon elastic cross section is performed within the Ultra-relativistic Quantum Molecular Dynamics (UrQMD) model. The effects of the beam energy dependence of $F$ on t…
View article: Transport Model Comparison Studies of Intermediate-Energy Heavy-Ion Collisions
Transport Model Comparison Studies of Intermediate-Energy Heavy-Ion Collisions Open
Transport models are the main method to obtain physics information from low to relativistic-energy heavy-ion collisions. The Transport Model Evaluation Project (TMEP) has been pursued to test the robustness of transport model predictions i…
View article: Quantifying the Effect of Initial Fluctuations on Isospin-Sensitive Observables from Heavy-Ion Collisions at Intermediate Energies
Quantifying the Effect of Initial Fluctuations on Isospin-Sensitive Observables from Heavy-Ion Collisions at Intermediate Energies Open
Initial fluctuation is one of the ingredients that washes fingerprints of the nuclear symmetry energy on observables in heavy-ion collisions. By artificially using the same initial nuclei in all collision events, the effect of the initial …
View article: Correction to: Machine learning the nuclear mass
Correction to: Machine learning the nuclear mass Open