Publications by authors named "Keyu Yan"

In this study, we combined network toxicology with two-sample Mendelian randomization (MR) to investigate the potential mechanisms by which major components of PM2.5 influence the development of intracranial aneurysms (IAs). We first identified the target genes of six representative PM2.

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Collision tumors are defined as the coexistence of two or more histologically distinct tumor types at the same anatomical site. Mediastinal collision tumors constitute an exceptionally rare subtype of these lesions. Clinically and radiologically, the preoperative diagnosis is particularly difficult due to their complex pathological composition and nonspecific manifestations.

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The non-equilibrium microstructure characterized by Tb supersaturation within Fe-Ga single-crystals is deduced to induce a substantial enhancement in magnetostriction. However, the growth of the non-equilibrium single-crystal remains a formidable obstacle, as existing methods can only produce either non-equilibrium polycrystal or near-equilibrium single-crystal, leading to the stagnation in magnetostriction. Herein, a rapid-directional-solidification (RDS) strategy is devised to grow non-equilibrium single-crystals.

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Objective: This study aimed to evaluate the predictive performance of published amisulpride population pharmacokinetic (PopPK) models in schizophrenia patients with an external data set and establish remedial dosing regimens for nonadherent amisulpride-treated patients.

Methods: A systematic search was conducted on PubMed, Embase, and Web of Science to identify PopPK models for evaluation. The evaluation process involved analyzing 390 serum concentration samples obtained from 361 Chinese adult inpatients diagnosed with schizophrenia.

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An event schema provides a formal language for representing events and modeling knowledge about the world. Existing event schema induction methods often only applies text features to the cluster, restricting its cluster capabilities. This article presents a Graph-Based Event Schema Induction model to extract structural features from our constructed graph.

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Under the current conditions of global climate change, many unreasonable tillage practices exacerbate soil erosion and seasonal drought in agriculture. The red soil slope farmland makes up a significant portion of agricultural land in southern China. It is crucial to enhance the water storage and soil conservation effects (WSE) by adopting appropriate agronomic practices on the red soil slope farmland, which ensures regional agriculture's sustainable development.

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Background: Ensuring the efficient recognition and management of crop pests is crucial for maintaining the balance in global agricultural ecosystems and ecological harmony. Deep learning-based methods have shown promise in crop pest recognition. However, prevailing methods often fail to address a critical issue: biased pest training dataset distribution stemming from the tendency to collect images primarily in certain environmental contexts, such as paddy fields.

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Multimodal image fusion involves tasks like pan-sharpening and depth super-resolution. Both tasks aim to generate high-resolution target images by fusing the complementary information from the texture-rich guidance and low-resolution target counterparts. They are inborn with reconstructing high-frequency information.

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Background: Alzheimer's disease (AD) endangers the physical and mental health of the elderly, constituting one of the most crucial social challenges. Due to lack of effective AD intervention drugs, it is very important to diagnose AD in the early stage, especially in the Mild Cognitive Impairment (MCI) phase.

Objective: At present, an automatic classification technology is urgently needed to assist doctors in analyzing the status of the candidate patient.

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The chemical constituent investigation on the root bark of leads to the isolation of a new -carboline alkaloid, 14(),15-dihydroxy-6-methoxy--carboline (), along with nine known alkaloids. The structure of new compound was elucidated on basis of extensive spectroscopic analysis, especially two-dimensional (2D) NMR techniques and the absolute configuration of C-14 was determined by ECD calculation. The neuroprotective effect of the isolated compounds on PC12 cells against the serum deprivation injury was evaluated by MTT method.

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Vibration measurement, particularly mode shape measurement, is an important aspect of structural dynamic analysis since it can validate finite element or analytical vibration models. Scanning laser Doppler vibrometry (LDV) and high-speed digital image correlation have become dominant methods for experimental mode shape measurement. However, these methods have high equipment costs and several disadvantages regarding spatial or temporal performance.

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The study was conducted to compare the pharmacokinetics and safety profiles of 2 brands of tenofovir alafenamide (TAF) fumarate tablets. This research was a 2-preparation, 2-sequence, 4-period crossover, completely replicated study in 68 healthy Chinese subjects under fasting and fed conditions. The mean values of the area under the concentration-time curve from time 0 to the last time point with blood sample collection (AUC ), area under the concentration-time curve from time 0 to infinity (AUC ), and maximum concentration (C ) for the test and reference products of TAF were 248.

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The laser speckle correlation method has found widespread application for obtaining information from vibrating objects. However, the resolution and accuracy of the laser speckle correlation method as they relate to the defocusing degree have not been analyzed sufficiently. Furthermore, the possible methods for speckle pattern quality assessment and enhancement have not been studied.

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In optical metrology, the output is usually in the form of a fringe pattern, from which a phase map can be generated and phase information can be converted into the desired parameters. This paper proposes an end-to-end method of fringe phase extraction based on the neural network. This method uses the U-net neural network to directly learn the correspondence between the gray level of a fringe pattern and the wrapped phase map, which is simpler than the exist deep learning methods.

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Dapoxetine is the first oral medication specifically developed for the on-demand treatment of premature ejaculation. The pharmacokinetics and safety of 30 mg (n = 40) and 60 mg (n = 38) dapoxetine in healthy Chinese under fasted and fed states were assessed in 2 studies. Both studies are random, single-center, 2-period, open-label, 2-way crossover designs.

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This study assessed whether the reference and test formulations of dapoxetine hydrochloride were bioequivalent under fed and fasting conditions postadministration of a single dose as well as evaluated the safety profile of these 2 formulations. This study was a randomized, single-center, 2-period, open-label, 2-way crossover design study with a washout period of 7 days between each period. The study included 80 subjects, 40 under fed and 40 under fasting conditions.

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Purpose: Glimepiride, an FDA-approved oral hypoglycemic drug, is a long-acting sulfonylurea (SU), used for treating type 2 diabetes. The study aimed to evaluate the bioequivalence and safety profiles of two different formulations of glimepiride 1 mg from two different manufactures in healthy Chinese subjects in the fasting and fed state in order to acquire adequate pharmacokinetic evidence for registration approval of the test formulation.

Patients And Methods: This study is an open-label, two-period, two-sequence, randomized, two-way crossover pharmacokinetic study in healthy Chinese subjects in the fasting and fed state.

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The contents of potassium, magnesium, sodium, manganese, ferrum and zinc were determined by flame spectrometry and atomic absorption spectrometry respectively. The dataset was clustered by fuzzy c-means (FCM) clustering analysis and hierarchical clustering analysis. It is shown that the results of the FCM clustering analysis are more accurate than those of the hierarchical cluster analysis, and it is with positive meaning to apply FCM clustering analysis to estimating the producing area of tobaccos.

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