A5100374744- Nuclear physics research studies
- Astronomical and nuclear sciences
- Atomic and Molecular Physics
- Structural Health Monitoring Techniques
- Neurological disorders and treatments
- COVID-19 diagnosis using AI
- Botulinum Toxin and Related Neurological Disorders
- Advanced NMR Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Probabilistic and Robust Engineering Design
- Nuclear Physics and Applications
- Crystallization and Solubility Studies
- Cancer, Lipids, and Metabolism
- Biomedical Research and Pathophysiology
- Ferroptosis and cancer prognosis
- Acoustic Wave Phenomena Research
- Phonocardiography and Auscultation Techniques
- Lipid metabolism and disorders
- Rare-earth and actinide compounds
- Advanced Surface Polishing Techniques
- Advanced Measurement and Metrology Techniques
- Immune cells in cancer
- Advanced Neural Network Applications
- Oral Health Pathology and Treatment
- Chronic Kidney Disease and Diabetes
Dalian University of Technology
2024-2025
Children's Hospital of Chongqing Medical University
2024-2025
Wuyi University
2023-2024
Xuzhou Medical College
2024
Nanjing Drum Tower Hospital
2024
Nanjing Medical University
2024
Chongqing Medical University
2024
China Institute of Atomic Energy
2008-2017
Shenzhen University
2015
Multilabel image classification aims to assign images multiple possible labels. In this task, each may be associated with labels, making it more challenging than the single-label problems. For instance, convolutional neural networks (CNNs) have not met performance requirement in utilizing statistical dependencies between labels study. Additionally, data imbalance is a common problem machine learning that needs considered for multilabel medical classification. Furthermore, concatenation of...
Abstract Background Polycystic ovary syndrome (PCOS) is one of the most complex endocrine disorders in women reproductive age. Abnormal proliferation granulosa cells (GCs) an important cause PCOS. This study aimed to explore role fatty acid-binding protein 5 ( FABP5 ) cell (GC) polycystic patients. Methods The gene, which related lipid metabolism, was identified through data analysis gene expression profiles GSE138518 from Gene Expression Omnibus (GEO) database. levels were measured by...
In medical image segmentation, accuracy is commonly high for tasks involving clear boundary partitioning features, as seen in the segmentation of X-ray images. However, objects with less obvious such skin regions similar color textures or CT images adjacent organs Hounsfield value ranges, significantly decreases. Inspired by human visual system, we proposed multi-scale detail enhanced network. Firstly, designed a module to enhance contrast between central and peripheral receptive field...
Abstract Introduction Accumulating evidence demonstrates that aberrant methylation of enhancers is crucial in gene expression profiles across several cancers. However, the latent effect differently expressed between INSS stage 4S and 4 neuroblastoma (NB) remains elusive. Methods We utilized transcriptome data NB patients to perform Enhancer Linking by Methylation/Expression Relationships (ELMER) analysis, discovering a motif within 67 NB. Harnessing genes, we established related signature...
Background LRFN4, characterized by leucine-rich repeats and fibronectin type III domains, has been implicated in various human diseases. However, its role immune regulation cancer prognosis remains unclear. Methods We performed a comprehensive analysis using datasets from The Cancer Genome Atlas (TCGA), Cell Line Encyclopedia (CCLE), Genotype-Tissue Expression Project (GTE x), UALCAN, Star Base, Comparative Toxicogenomics Database (CTD), observed significant dysregulation of LRFN4 multiple...
Background NR2F6 is an orphan nuclear receptor with dual tumorigenic activity in the immune system and tumor cells, playing essential role differentiation immunity. This study aimed to investigate expression level of various tumors its effect on neuroblastoma (NB). Methods We evaluated genesis development 34 different through multiple databases. In addition, we investigated effects levels NB risk factors prognosis using pathology sections clinical data from primary retroperitoneal children....
In the simulation analysis of large-scale industrial instruments such as machine tools, in order to ensure accuracy, model parameter correction is necessary. This research presents a tool method assisted by dynamic evolution sequence (DES). The first introduces generate uniformly distributed sequence, replacing traditional used Kriging surrogate models, and constructing more accurate for tools. Moreover, random with enhances search space coverage heterogeneous comprehensive learning particle...
Excited states of $^{118}\mathrm{Sn}$ have been populated in the $^{116}\mathrm{Cd}$($^{7}\mathrm{Li}$,$1p4n$) reaction with a beam energy $50$ MeV. The previously known level scheme is extended low-spin region as well to higher spins. systematic behavior intruder deformed bands Sn isotopes discussed. Total Routhian surface calculations and configuration-fixed constrained triaxial relativistic mean-field approaches are employed for analysis nuclear structure $^{118}\mathrm{Sn}$.
Excited states of $^{118}\mathrm{Sb}$ were populated via the $^{116}\mathrm{Cd}$$(^{7}\mathrm{Li}$,5n)$^{118}\mathrm{Sb}$ fusion-evaporation reaction at a beam energy 50 MeV. The previously known level scheme has been considerably extended, and about 36 new transitions added into $^{118}\mathrm{Sb}$. One rotational band identified, assigned $\ensuremath{\pi}{g}_{9/2}^{\ensuremath{-}1}\ensuremath{\bigotimes}\ensuremath{\nu}{g}_{7/2}$ configuration. configuration-fixed constrained triaxial...
High spin states in $^{139}\mathrm{Nd}$ nucleus have been reinvestigated with the reaction $^{128}\mathrm{Te}$ ($^{16}\mathrm{O}$, $5n$) at a beam energy of 90 MeV. The level scheme has expanded up to $47/2\ensuremath{\hbar}$. At low spin, yrast collective structure built on $\ensuremath{\nu}{h}_{11/2}^{\ensuremath{-}1}$ multiplet shows triaxial shape $\ensuremath{\gamma}\ensuremath{\approx}{32}^{\ifmmode^\circ\else\textdegree\fi{}}$ according calculations rotor-plus-particle model....
To investigate the clinical efficacy of beraprost sodium (BPS) in treatment chronic kidney disease (CKD).
High-spin states in $^{161}\mathrm{Er}$ have been studied experimentally using the $^{150}\mathrm{Nd}$($^{16}\mathrm{O}$,5$\mathit{n}$) reaction at a beam energy of 86 MeV. The $5/{2}^{+}[642]$, $3/{2}^{\ensuremath{-}}[521]$, and $11/{2}^{\ensuremath{-}}[505]$ bands are extended up to high-spin states, particularly $\ensuremath{\alpha}=\ensuremath{-}1/2$ branch ground state $3/{2}^{\ensuremath{-}}[521]$ band is revised significantly. relatively enhanced $E1$ transitions from $5/{2}^{+}[642]$...
High-spin states in 86Sr have been investigated by using in-beam γ ray spectroscopy with the 82Se(9Be, 5n)86Sr reaction at a beam energy of 53 MeV. A new dipole sequence has observed and mixed configurations unpaired valence nucleons before alignment configuration after are assigned respectively. Shell-model self-consistent titled axis cranking relativistic mean-field model calculations performed to interpret rotational structure characteristic features magnetic rotation presented for sequence.
Physiological signals, such as electrocardiogram (ECG) and wrist pulse signals (WPS), play an important role in diagnosing preventing cardiovascular other physiological diseases. Therefore, accurate classification of has become the key to assist physicians diagnosis. However, this field still faces several prominent challenges, including limited availability data, imbalanced datasets, convergence issues with loss functions, need for model architectures capable accurately detecting waveform...
The high-spin states of $^{141}\mathrm{Pm}$ have been investigated through the reaction $^{126}\mathrm{Te}$($^{19}\mathrm{F}$,4$n$) at a beam energy 90 MeV. A previous level scheme has updated with spins up to 49/2$\ensuremath{\hbar}$. Six collective bands high are newly observed. Based on systematic comparison, one band is proposed as decoupled band; two strong $\ensuremath{\Delta}I=1$ $M1$ transitions inside suggested oblate $\ensuremath{\gamma}$...
The heavy ion fusion–evaporation reaction study for the high-spin spectroscopy of 75As has been performed via channel 70Zn(9Be, 1p3n)75As at a beam energy 42 MeV. collective structure especially dipole band in is established first time. properties this are investigated terms self-consistent tilted axis cranking covariant density functional theory. Based on theoretical description and examination angular momentum components, can be interpreted as novel stapler band, where valence neutrons...
The high-spin spectroscopy of 144Tb has been studied via 116Sn(32S, 3n1p)144Tb fusion-evaporation reaction at a beam energy 156 MeV. A dipole band built on the πh311/2⊗νh−111/2 configuration is newly observed in 144Tb. Together with similar observation neighboring nuclei, properties bands N=79 isotones are investigated terms self-consistent tilted-axis-cranking covariant density functional theory. Based systematic comparison and examination shears mechanism, can be interpreted as magnetic...
When the exact probability distribution of input conditions cannot be obtained in practical engineering problems, interval analysis methods are often used to analyze upper and lower bounds output responses. Essentially, this can regarded as an optimization problem, solvable by algorithms. This paper proposes a novel method, i.e., multi-body dynamic evolution sequence-assisted PSO (abbreviated DES-PSO), which combines dynamical evolutionary sequence with heterogeneous comprehensive learning...
<p>To enhance the efficiency and accuracy of response analysis in practical multivariable complex engineering problems, we introduced a new interval method—multi-body dynamic evolution sequence-assisted particle swarm optimization (DES-PSO) is this research. This method optimizes heterogeneous comprehensive learning algorithm (HCLPSO) by incorporating sequence (DES), addressing difficulty HCLPSO covering search space, which makes suitable for solving problems. The results two numerical...
<title>Abstract</title> In the simulation analysis of large-scale industrial instruments such as machine tools, in order to ensure accuracy, model parameter correction is necessary. This research presents a tool method assisted by dynamic evolution sequence (DES). The first introduces generate uniformly distributed sequence, replacing traditional used Kriging surrogate models, and constructing more accurate for tools. Additionally, incorporating instead random improves search space coverage...