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Article
Open AccessBeta-blockade in V-V ECMO
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Article
A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion
Existing deep learning techniques for image fusion either learn image map** (LIM) directly, which renders them ineffective at preserving details due to the equal consideration to each pixel, or learn detail ...
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Article
Open AccessSynergistic dual-phase air electrode enables high and durable performance of reversible proton ceramic electrochemical cells
Reversible proton ceramic electrochemical cells are promising solid-state ion devices for efficient power generation and energy storage, but necessitate effective air electrodes to accelerate the commercial ap...
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Article
Transcutaneous electrical acupoint stimulation for cancer-related pain management in patients receiving chronic opioid therapy: a randomized clinical trial
The opioid crisis resulting from its use disorder and overdose poses additional challenges for cancer pain management. The American Society of Clinical Oncology Practice Guideline recommends acupuncture therap...
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Article
Open AccessPegylated liposomal doxorubicin (Duomeisu®) monotherapy in patients with HER2-negative metastatic breast cancer heavily pretreated with anthracycline and taxanes: a single-arm, phase II study
To evaluate the efficacy and safety of pegylated liposomal doxorubicin (PLD) in patients with human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC) heavily pretreated with ant...
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Article
Open AccessThe three steps method for uniportal video-assisted thoracoscopic right upper lobectomy
The uniportal video-assisted thoracoscopic right upper lobectomy (UVATRUL), as a common procedure for thoracic surgeons, is difficult to manipulate and has some inherent challenges. To solve both of problems, ...
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Chapter and Conference Paper
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation
Consistency learning plays a crucial role in semi-supervised medical image segmentation as it enables the effective utilization of limited annotated data while leveraging the abundance of unannotated data. The...
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Article
Open AccessHigh-Entropy Perovskite Oxide: A New Opportunity for Develo** Highly Active and Durable Air Electrode for Reversible Protonic Ceramic Electrochemical Cells
Synthesis of high-entropy perovskite oxide for air electrode in reversible proton ceramic electrochemical cells.
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Article
Open AccessActivity of preclinical and phase I clinical trial of a novel androgen receptor antagonist GT0918 in metastatic breast cancer
To evaluate GT0918, a 2nd-generation AR antagonist, for its AR down-regulation activity among breast cancer patients.
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Article
Open AccessDepletion of EREG enhances the osteo/dentinogenic differentiation ability of dental pulp stem cells via the p38 MAPK and Erk pathways in an inflammatory microenvironment
Epiregulin (EREG) is an important component of EGF and was demonstrated to promote the osteo/dentinogenic differentiation of stem cells from dental apical papilla (SCAPs). Whether EREG can stimulate the osteo/...
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Article
Open AccessMassive hemothorax caused by intercostal artery pseudoaneurysm:a case report
Intercostal artery pseudoaneurysm is rare and at the risk of rupture. The aetiology is always reported to be iatrogenic and traumatic injury. Embolisation is the most common therapeutic method. Here, we report...
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Article
Thermal-expansion offset for high-performance fuel cell cathodes
One challenge for the commercial development of solid oxide fuel cells as efficient energy-conversion devices is thermo-mechanical instability. Large internal-strain gradients caused by the mismatch in thermal...
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Chapter and Conference Paper
Feasibility Study of Zero Trust Security in the Power Industry
Electrical safety is not only related to personal safety and national property security, but also related to the stability and development of the industry itself. Ensuring the safety of the power industry and ...
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Article
Open AccessA role for CBFβ in maintaining the metastatic phenotype of breast cancer cells
Epithelial to mesenchymal transition (EMT) is a dynamic process that drives cancer cell plasticity and is thought to play a major role in metastasis. Here we show, using MDA-MB-231 cells as a model, that the p...
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Chapter and Conference Paper
Cost Management Model Based on Multidimensional System
China’s economy has maintained medium and high speed development, and market competition is very fierce. Enterprises must change their management thinking. From managing products to operating customers, the cu...
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Chapter and Conference Paper
Application of Self-service Analysis Tool for Data Management Application
With the advent of the era of big data, and the increasing application of big data technology, data has become one of the important assets of enterprises. Through data analysis, mining, and applications, the m...
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Chapter and Conference Paper
Integrated Information System of Township Power Supply Office and Team Based on Cloud Computing
Township is the weak point and weak point in the coordinated development of China’s economy. It is also a link that must be strengthened in the coordinated development of China’s economy. The development of po...
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Article
Prognostic and clinicopathological value of PD-L1 expression in primary breast cancer: a meta-analysis
To evaluate the association between PD-L1 expression (PD-L1+) and clinicopathological characteristics and effect on prognosis in primary breast cancer (PBC).
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Article
Open AccessEvaluating the analgesic effect and advantage of transcutaneous electrical acupoint stimulation combined with opioid drugs for moderate to severe cancer-related pain: a study protocol for a randomized controlled trial
Transcutaneous electrical acupoint stimulation (TEAS), which is also known as acupuncture-like transcutaneous electrical nerve stimulation (TENS), has been widely used in acute or chronic pain. However, previo...
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Chapter and Conference Paper
A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation
Identification of anomaly data is very important for power system state estimation. In this paper, a method of power system anomaly data identification based on neural network and affine propagation is propose...
