檢索結果 - Rui Zhang

As a critical component of the in situ stress state, determination of the minimum horizontal principal stress plays a significant role in both geotechnical and petroleum engineering. To this end, a gene expression programming (GEP) algorithm-based model, in which the data of borehole breakout size,...

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Through the analysis of the clinical application effects of shared decision-making (SDM) model in the diagnosis and treatment of parotid tumors within oral and maxillofacial surgery, this study aims to deepen the understanding of various forms of collaborative decision-making, including doctor-patie...

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Based on data from the China Household Finance Survey (CHFS) conducted in 2019, this paper conducted an in-depth study on the impact and mechanism of financial attention on household consumption upgrading. The study found that an increase in financial attention can help to promote household consumpt...

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The development of 5G environments has several advantages, including accelerated data transfer speeds, reduced latency, and improved energy efficiency. Nevertheless, it also increases the risk of severe cybersecurity issues, including a complex and enlarged attack surface, privacy concerns, and secu...

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Globally, diverse regions are experiencing significant salinization, yet research leveraging two-dimensional spectral indices derived from fractional-order differentiated hyperspectral data remains relatively scarce. Given that the Yellow River Delta exemplifies a severely salinized area, this study...

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IntroductionNamed Entity Recognition (NER) plays a critical role in interprofessional collaboration (IPC) and education, providing a means to identify and classify domain-specific entities essential for efficient interdisciplinary communication and knowledge sharing. While traditional methods, such...

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Background: As a global expansion of Francisella tularensis subsp. holarctica in the northern hemisphere, its origin has been of great interest. Based on the phylogenetic analysis of the whole genome sequences (WGS) available in public databases, estimating temporal signal in accordance with random...

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Objective: To reveal the therapeutic effects of moxibustion in collagen-induced arthritis (CIA) rat models using the combined analysis of plasma and synovial membrane lipidomic profiling and to enhance the understanding of how moxibustion affects lipid metabolism in rheumatoid arthritis (RA). Method...

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Objective Repetitive transcranial magnetic stimulation is considered a potential treatment of choice for late-life depression, but its efficacy remains unclear. Therefore, we conducted a systematic review and meta-analysis to investigate the efficacy of repetitive transcranial magnetic stimulation....

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ABSTRACT Corrosion‐resistant reinforcements in coral aggregate concrete (CAC) do not adequately prevent matrix corrosion due to the high porosity of CAC. Here, the corrosion of CAC in marine environments was systematically reviewed, and methods to enhance its corrosion resistance were discussed. The...

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BackgroundThyroid cancer is the most common malignant tumor of the endocrine system. Among children and adolescents, cancer ranks as the fourth leading cause of cancer-related deaths. Pediatric and adolescent thyroid cancer is a rare disease characterized by high metastatic and invasive properties....

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Abstract The breaches of the blockchain wallet keys greatly harm the security of blockchain transactions. To protect the secret keys, the known solutions, such as hierarchical deterministic wallets proposed in BIP32 or stealth addresses adopted in Monero, have been extensively researched. However, m...

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LiDAR point clouds, as direct carriers of 3D spatial information, comprehensively record the geometric features and spatial topological relationships of object surfaces, providing intelligent systems with rich 3D scene representation capability. However, current point cloud semantic segmentation met...

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One of the most promising approaches of handling constrained optimization problems (COPs) is to adopt multi-objective methods, which can provide a trade-off between the objective and constraints. However, the multi-objective-based constraint-handling techniques take preference over infeasible soluti...

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This study uses panel data from 274 listed companies (2009 to 2022) and a multi-level analytical framework that integrates econometric models with machine learning techniques to explore the complex relationship between Environmental, Social, and Governance (ESG) performance and operational efficienc...

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Spectrally selective emitters (SSEs) have attracted considerable attention, because of radiative cooling, which could dissipate the heat from earth to outer space through the atmospheric window without any energy input. Intrinsically inorganic SSEs have significant advantages to other SSEs, such as...

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MiR-30 family plays an important role in the tumorigenesis of human cancers. The aim of the study is to investigate the role of miR-30d in human colon cancer cell lines and explore the molecular mechanism in the proliferation of colon cancer cells. The expression of miR-30d was determined by real-ti...

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Abstract We propose a method for probing CP-violation in the heavy (pseudo)scalar sector of an extended Higgs model, in which we make simultaneous use of the HVV ( $$V=W^\pm , Z$$ V = W ± , Z ) and $$Ht\bar{t}$$ H t t ¯ interactions of a heavy Higgs state H. The CP-even component of H can be probed...

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