Publications by authors named "Jintao Hu"

In this paper, a deep reinforcement learning (DRL) approach based on generative adversarial imitation learning (GAIL) and long short-term memory (LSTM) is proposed to resolve tracking control problems for robotic manipulators with saturation constraints and random disturbances, without learning the dynamic and kinematic model of the manipulator. Specifically, it limits the torque and joint angle to a certain range. Firstly, in order to cope with the instability problem during training and obtain a stability policy, soft actor-critic (SAC) and LSTM are combined.

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Background: Preoperative ultrasound-guided core needle biopsy (CNB) is currently the standard procedure for managing breast illnesses. However, the differences in outcomes between CNB and surgical excision (SE) have not been thoroughly assessed. This study aimed to explore the disparities in pathological outcomes between these two procedures, using a large sample dataset.

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Microlens array (MLA), through which all the sub-beams are focused, is widely used in multi-electron-beam systems. In this work, based on the differential algebraic (DA) method, we propose an approach in calculating the high-order aberrations for both axial and off-axial microlenses, considering the multipole fields that are introduced by the neighborhood structures in MLA, as well as the rotationally symmetric field. To perform the DA calculation, the electric fields of the microlenses are analyzed by using the azimuthal Fourier analysis and the Fourier-Bessel series Expansion.

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Purpose: To assess whether gray-scale ultrasound (US) based radiomic features can help distinguish HER2 expressions (ie, HER2-overexpressing, HER2-low-expressing, and HER2-zero-expressing) in breast cancer.

Materials And Methods: This retrospective study encompassed female breast cancer patients who underwent US examinations at two distinct centers from February 2021 to July 2023. Tumor segmentation and radiomic feature extraction were performed on grayscale US images.

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Background: Early detection of bladder cancer (BCa) can have a positive impact on patients' prognosis. However, there is currently no widely accepted method for early screening of BCa. We aimed to develop an efficient, clinically applicable, and noninvasive method for the early screening of BCa by detecting specific serum miRNA levels.

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Article Synopsis
  • Neuroendocrine prostate cancer (NEPC) is an aggressive subtype of prostate cancer with poor prognosis, and this study aims to create reliable nomograms to predict overall and cancer-specific survival rates.
  • Research involved analyzing data from 393 NEPC patients, leading to the development and validation of two nomograms using key prognostic factors identified through statistical analyses.
  • The nomograms showed strong predictive performance, indicating their potential utility in clinical settings to improve treatment planning and patient care for those with NEPC.
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  • Prostate cancer (PCa) mortality is rising due to recurrence and metastasis, prompting research on collagen's role in tumor progression and its gene relationships with PCa prognosis.
  • Gene expression data led to the identification of four key collagen-associated genes (PLOD3, COL1A1, MMP11, FMOD), used to create a risk scoring model linked to improved biochemical recurrence-free survival outcomes.
  • The findings suggest that the risk score may serve as an effective prognostic tool for PCa patients, with PLOD3 identified as a promising target for therapeutic interventions.
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Background: Studies have indicated a close association between genes linked to liquid-liquid phase separation (LLPS) and the progression of prostate cancer (PCa). However, the interplay among long non-coding RNAs (lncRNAs) linked to LLPS in PCa remains elusive. Therefore, we constructed a prediction model based on LLPS-related LncRNA in PCa to explore its relationship with the prognosis and drug treatment of PCa.

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The Hippo-YAP1 pathway is an evolutionally conserved signaling cascade that controls organ size and tissue regeneration. Dysregulation of Hippo-YAP1 signaling promotes initiation and progression of several types of cancer, including gastric cancer. As the Hippo-YAP1 pathway regulates expression of thousands of genes, it is important to establish which target genes contribute to the oncogenic program driven by YAP1 to identify strategies to circumvent it.

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Background: Sepsis-induced myocardial injury is a serious complication of sepsis. QT prolongation is a proarrhythmic state which reflects myocardial injury in a group of heterogeneous disorders. However, the study on the clinical value of QT prolongation in sepsis is limited.

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  • The study aimed to develop a nomogram to predict survival outcomes for penile cancer patients using data from SEER and a Chinese hospital, focusing on a cohort of 5,744 patients.
  • Researchers identified nine independent risk factors influencing cancer prognosis, such as age, race, and TNM stage, and constructed a nomogram that showed better predictive accuracy than the traditional TNM staging model.
  • This research emphasizes the need for more detailed studies on penile cancer and provides a valuable tool for surgeons to improve patient prognosis predictions.
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Purpose: The Chromobox (CBX) family proteins are crucial elements of the epigenetic regulatory machinery and play a significant role in the development and advancement of cancer. Nevertheless, there is limited understanding regarding the role of CBXs in development or progression of prostate cancer (PCa). Our objective is to develop a unique prognostic model associated with CBXs to improve the accuracy of predicting outcomes of patients with PCa.

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Objective: Buccal mucosa cancer (BMC) is one of the most common oral cancers and has poor prognosis. The study aimed to develop and validate nomograms for predicting the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) of BMC patients.

Methods: We collected and reviewed information on BMC patients diagnosed between 2004 and 2019 from the Surveillance Epidemiology and End Results database.

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  • - This study introduces a new method using differential algebra to analyze the evolution of current density distribution (CDD) in beams of secondary electrons (SE), breaking the beam into smaller sections called beamlets.
  • - Each beamlet is traced individually, allowing researchers to derive a current density function based on factors like initial angles, energy, and size of the emission source, which are then integrated to find the overall CDD.
  • - The method is validated through experiments with a scanning electron microscope (SEM), demonstrating that the calculated CDD aligns well with observed images, showcasing the potential for improvements in SE detection systems.
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Purpose: Prostate cancer (PCa) is one of the major tumor diseases that threaten men's health globally, and biochemical recurrence significantly impacts its prognosis. Disulfidptosis, a recently discovered cell death mechanism triggered by intracellular disulfide accumulation leading to membrane rupture, is a new area of research in the context of PCa. Currently, its impact on PCa remains largely unexplored.

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(1) Background: This research aims to identify candidates for trimodality therapy (TMT) or radical cystectomy (RC) by using a predictive model. (2) Methods: Patients with nonmetastatic muscle-invasive bladder cancer (MIBC) in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled. The clinical data of 2174 eligible patients were extracted and separated into RC and TMT groups.

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Background: Cancer-associated fibroblasts (CAFs) play a significant role in regulating the clinical outcome and radiotherapy prognosis of prostate cancer (PCa). The aim of this study is to identify CAFs-related genes (CAFsRGs) using single-cell analysis and evaluate their potential for predicting the prognosis and radiotherapy prognosis in PCa.

Methods: We acquire transcriptome and single-cell RNA sequencing (scRNA-seq) results of PCa and normal adjacent tissues from The GEO and TCGA databases.

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There is very limited evidence linking glyphosate exposure to bone mineral density in adults aged 20 to 59 years in the National Health and Nutrition Examination Survey database. Hence, this study aimed to investigate the correlation between urinary glyphosate concentrations and total bone mineral density (BMD) in adults aged 20 to 59 years. A cross-sectional study was conducted using data from the 2013 to 2016 National Health and Nutrition Examination Survey, which included 594 men (mean age 39.

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  • A study investigated the effectiveness and safety of giving house dust mite (HDM) extract through intratonsillar injections to treat allergic rhinitis caused by HDM in patients, as traditional allergen-specific immunotherapy has low adherence rates due to side effects and duration.
  • The trial involved 80 patients who received either HDM injections or placebo over three months, and various symptom scores and quality of life measures were assessed at multiple time points.
  • Results showed significant improvements in nasal symptoms and quality of life at 3 months for those receiving the injections, but the benefits appeared to diminish over time, and there were no serious side effects reported.
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Objective: To investigate the association between creatinine to cystatin C ratio (CCR) and bone mineral density (BMD) in middle-aged and older adults.

Methods: This cross-sectional study investigated participants aged 50-85, using National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2002. The correlation between CCR and total BMD was assessed by multivariate linear regression models, using stratified analysis by age, sex and race (Mexican American, other Hispanic, non-Hispanic White, non-Hispanic Black, and other race) to distinguish various special populations.

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Due to the highly environment-dependent biodegradation and uncontrolled degradation period, the long-run feasibility and effectiveness of biodegradable polymers are extensively questioned to solve plastics waste accumulation and pollution problems. This work physically incorporated lipase PS from Burkholderia cepacian on cellulose nanocrystals (CNC) and embedded it in polycaprolactone (PCL) to construct stable and controllable interfacial microenvironment between CNC and PCL for the reinforcement and controllable self-driven biodegradation. The physical adsorption of lipase PS on CNC was studied by monitoring the surface charge and particle size.

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Currently, it is unclear whether creatine phosphokinase (CPK) affects bone mineral density (BMD) in adolescents. We sought to clarify the relationship between CPK and total BMD in adolescents aged 12 to 19 years within normal values by conducting this study. A cross-sectional study was conducted using the 2011 to 2018 National Health and Nutrition Survey data to examine 1188 males (average age, 15.

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Background: SPOCK3 is a secreted extracellular matrix proteoglycan. This study aimed to investigate the effect of SPOCK3 on the malignant progression of prostate cancer and to construct a prognostic model to predict DFS of patients with prostate cancer.

Methods: Clinical and transcriptome sequencing data for prostate cancer were download from the TCGA and GEO databases.

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Lipid metabolism plays an important role in the repair of skin wounds. Studies have shown that acupuncture is very effective in skin wound repair. However, there is little knowledge about the mechanism of electroacupuncture.

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Lipid metabolism plays an important role in the repair of skin wounds. Studies have shown that acupuncture is very effective in skin wound repair. However, there is little knowledge about the mechanism of electroacupuncture.

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