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Article
“Exhale the old and inhale the new”: Comparing the impact of anti-corruption campaign on entrepreneurship and exiting markets in China
Anti-corruption campaigns have a profound impact on all enterprise operations. We use China’s anti-corruption campaign, which began in 2012, as an example, employing inter-provincial data from 2006 to 2020 and...
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Article
Open AccessBiomimetic nanodrug blocks CD73 to inhibit adenosine and boosts antitumor immune response synergically with photothermal stimulation
Combination of tumor immunotherapy with photothermal therapy (PTT) is a feasible tactic to overcome the drawback of immunotherapy such as poor immune response. Via triggering the immunogenic cells death (ICD), PT...
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Article
LncFASA promotes cancer ferroptosis via modulating PRDX1 phase separation
Ferroptosis, a unique type of non-apoptotic cell death resulting from iron-dependent lipid peroxidation, has a potential physiological function in tumor suppression, but its underlying mechanisms have not been...
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Article
Open AccessReal-time respiratory motion prediction using photonic reservoir computing
Respiration induced motion is a well-recognized challenge in many clinical practices including upper body imaging, lung tumor motion tracking and radiation therapy. In this work, we present a recurrent neural ...
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Article
Open AccessMR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network
Medication recommendation based on electronic medical record (EMR) is a research hot spot in smart healthcare. For develo** computational medication recommendation methods based on EMR, an important challeng...
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Article
Open AccessPromoting anti-tumor immunity by targeting TMUB1 to modulate PD-L1 polyubiquitination and glycosylation
Immune checkpoint blockade therapies targeting the PD-L1/PD-1 axis have demonstrated clear clinical benefits. Improved understanding of the underlying regulatory mechanisms might contribute new insights into i...
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Article
Open AccessGeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery
Accurately predicting drug-target binding affinity (DTA) in silico plays an important role in drug discovery. Most of the computational methods developed for predicting DTA use machine learning models, especia...
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Article
Publisher Correction: Long non-coding RNA SNHG6 couples cholesterol sensing with mTORC1 activation in hepatocellular carcinoma
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Article
Long non-coding RNA SNHG6 couples cholesterol sensing with mTORC1 activation in hepatocellular carcinoma
Cholesterol contributes to the structural basis of biological membranes and functions as a signaling molecule, whose dysregulation has been associated with various human diseases. Here, we report that the long...
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Chapter and Conference Paper
Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-task Learning
The prediction of drug-target interactions binding affinity has received great attention in the field of drug discovery. The prediction models based on deep neural networks have shown the favorable performance...
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Article
Open AccessApplications of various range shifters for proton pencil beam scanning radiotherapy
A range pull-back device, such as a machine-related range shifter (MRS) or a universal patient-related range shifter (UPRS), is needed in pencil beam scanning technique to treat shallow tumors.
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Chapter and Conference Paper
Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic
“Tree hole” refers to a social media formed after the death of a social media user, in which other users continue to leave messages due to emotional resonance. This paper focuses on exploring the fluctuation o...
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Article
Mitochondrial long non-coding RNA GAS5 tunes TCA metabolism in response to nutrient stress
Organelles use specialized molecules to regulate their essential cellular processes. However, systematically elucidating the subcellular distribution and function of molecules such as long non-coding RNAs (lnc...
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Article
Open AccessTGR5 deficiency aggravates hepatic ischemic/reperfusion injury via inhibiting SIRT3/FOXO3/HIF-1ɑ pathway
Ischemia/reperfusion (I/R) injury is responsible for liver injury during hepatic resection and liver transplantation. The plasma membrane-bound G protein-coupled bile acid receptor (TGR5) could regulate immune...
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Article
DART, a platform for the creation and registration of cone beam digital tomosynthesis datasets
Digital tomosynthesis is an imaging modality that allows for tomographic reconstructions using only a fraction of the images needed for CT reconstruction. Since it offers the advantages of tomographic images w...
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Chapter and Conference Paper
In vivo Characterization of Lung Tissue Properties from 4D CT Images for Cancer Radiation Therapy
Motion-simulating patient-specific lung models are of significant interest in develo** accurate radiation treatment strategies. While computed tomography (CT) images may be used to develop finite element mod...
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Chapter and Conference Paper
Evaluation on Lung Cancer Patients’ Four-dimensional Treatment Plans Utilizing Biologically Effective Uniform Dose
Four-dimensional (4D) radiotherapy is considered to be a feasible and ideal solution to accommodate intrafractional respiratory motion during conformal radiation therapy. With explicit inclusion of the tempora...
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Chapter and Conference Paper
Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data
Prediction of respiratory motion has the potential to substantially improve cancer radiation therapy. A nonlinear finite element (FE) model of respiratory motion during full breathing cycle has been developed ...
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Article
Open AccessDosimetric comparison of Helical Tomotherapy and Gamma Knife Stereotactic Radiosurgery for single brain metastasis
Helical Tomotherapy (HT) integrates linear accelerator and computerized tomography (CT) technology to deliver IMRT. Targets are localized (i.e. outlined as gross tumor volume [GTV] and planning target volume [...
