Publications by authors named "Yuting Yan"

Microplastics (MPs) have been found in different environmental department globally, and the threat to organisms posed by MPs is also widely recognized. Kinematic characteristics of low-density fiber MPs in Poyang Lake under different due-south wind were calculated by combining hydrodynamic model with particle tracking model in this study. Poyang Lake is divided into north lake and south lake for study based on its topographic and hydrodynamic characteristics, and the results are as follows: the critical wind speeds causing vertical mixing of MPs in the water column ranges from 6 to 9 m·s in the north lake, while it is >9 m·s in the south lake, and the MPs beaching rate decreases by 7.

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Metal halide perovskites have attracted significant attention in photodetection due to their superior photophysical properties and improved stability. However, the performance of their photodiodes is predominantly limited by non-radiative recombination within the perovskite layer or at interfaces. Here, molecular engineering via phenylethylammonium chloride for interfacial modulation and methylenediammonium dichloride for bulk modulation is introduced into vertical perovskite photodiodes to boost the photodetection performance.

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Assessing groundwater quality is essential for achieving sustainable development goals worldwide. However, it is challenging to conduct hydrochemical analysis and water quality evaluation by traditional methods. To fill this gap, this study analyzed the hydrochemical processes, drinking and irrigation water quality, and associated health risks of 93 groundwater samples from the Sichuan Basin in SW China using advanced unsupervised machine learning, the Combined-Weights Water Quality index, and Monte-Carlo simulations.

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Egg quality traits are economically important in the poultry industry. To explore the genetic architecture and identify potential candidate genes, a genome-wide association study (GWAS) was performed for 13 egg quality traits using data from whole-genome sequencing of 299 Longyan Shan-ma female ducks, including 12 quantitative traits and one qualitative trait, eggshell color (ESC; white, light green, green). From estimation of pedigree genetic parameters, heritability (h) ranged from 0.

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Most self-powered electrochemical sensors (SPESs) are limited by low open circuit voltage and power density, leading to a narrow detection range and low sensitivity. Herein, a photoinduced Zn-air battery-assisted SPES (ZAB-SPES) is proposed based on cobalt and sulfur co-doped carbon nitride with the cyano group (Co, S-CN). The cyano functionalization remarkably enhances visible light utilization, and the cyano moiety acts as an electron-withdrawing group to promote electron enrichment.

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Article Synopsis
  • - This study investigates the frequency and characteristics of MYD88 and CXCR4 mutations in patients with Waldenström macroglobulinemia (WM), aiming to find the best methods for clinical testing and their prognostic value across different treatments.
  • - A total of 385 symptomatic WM patients were tested using various genetic sequencing methods, revealing that MYD88 mutations occurred in 87.8% of patients, while CXCR4 mutations were found in 30.9%.
  • - Results indicated that while MYD88 and CXCR4 mutations are not significant prognostic factors in some treatment groups, they are critical for predicting outcomes in patients receiving Bruton's tyrosine kinase inhibitors (BTKis), surpassing the importance
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Contamination with potentially toxic elements (PTEs) frequently occurs in surface water in coal mining areas. This study analyzed 34 surface water samples collected from the Yunnan-Guizhou Plateau for their hydrochemical characteristics, spatial distribution, source apportionment, and human health risks. Our statistical analysis showed that the average concentrations of PTEs in the surface water ranked as follows: Fe > Al > Zn > Mn > Ba > B> Ni > Li > Cd > Mo > Cu > Co > Hg > Se > As > Pb > Sb.

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To improve dynamic performance and steady-state accuracy of position leap control of the direct current (DC) servo motor, a fuzzy inference system (FIS) enabled artificial neural network (ANN) feedforward compensation control method is proposed in this study. In the method, a proportional-integral-derivative (PID) controller is used to generate the baseline control law. Then, an ANN identifier is constructed to online learn the reverse model of the DC servo motor system.

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Purpose: This study aimed to develop a radiomic model based on non-contrast computed tomography (NCCT) after interventional treatment to predict the clinical prognosis of acute ischemic stroke (AIS) with large vessel occlusion.

Methods: We retrospectively collected 141 cases of AIS from 2016 to 2020 and analyzed the patients' clinical data as well as NCCT data after interventional treatment. Then, the total dataset was divided into training and testing sets according to the subject serial number.

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Groundwater contaminated by potentially toxic elements has become an increasing global concern for human health. Therefore, it is crucial to identify the sources and health risks of potentially toxic elements, especially in arid areas. Despite the necessity, there is a notable research gap concerning the sources and risks of these elements within multi-layer aquifers in such regions.

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Article Synopsis
  • Real-time thermal sensing is crucial for monitoring processes like chemical reactions and combustion, but existing sensors often fail at extreme temperatures and have slow response times.
  • A new flexible temperature sensor, made from ultrathin MoWS alloy films using inkjet printing and thermal annealing, shows a wide temperature range and a rapid response time of about 30 microseconds.
  • This innovative sensor can detect rapid temperature changes from extreme conditions (like liquid nitrogen or flames) and can be used for spatial temperature mapping, even when bent.
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Background: JianPiTongLuo Recipe (JPTL Recipe) is a traditional Chinese medicine formula commonly used in the clinical treatment of colorectal cancer. Clinical studies have found that it can significantly improve the prognosis of patients with colorectal cancer. However, its mechanisms of action are not well understood, which has limited its further clinical application.

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Article Synopsis
  • * The study reveals that coordination of polycyclic aromatic hydrocarbons to (2-phenylpyridine)(CO)Ru can form a novel bis-polyaryl phenylpyridine (BPP) Ru complex via specific chemical strategies, enhancing its functional capabilities.
  • * Notably, the anthracene-derivatized BPP Ru complex (BPP-Ant) demonstrates superior electrochemiluminescence performance, achieving 1.6 times higher quantum efficiency compared to the standard Ru(bpy
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Purpose: This study aimed to develop a normal brain ageing model based on magnetic resonance imaging and radiomics, therefore identifying radscore, an imaging indicator representing white matter heterogeneity and exploring the significance of radscore in detecting people's cognitive changes.

Methods: Three hundred sixty cognitively normal (CN) subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and 105 CN subjects from the Parkinson's Progression Markers Initiative database were used to develop the model. In ADNI, 230 mild cognitive impairment (MCI) subjects were matched with 230 CN old-aged subjects to evaluate their heterogeneity difference.

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Objective: The aim of this study was to investigate the effects of () and propionic acid (PA) on fermentation characteristics and microbial community of amaranth () silage with different moisture contents.

Methods: Amaranth was harvested at maturity stage and prepared for ensiling. There were two moisture content gradients (80%: AhG, 70%: AhS; fresh material: FM) and three treatments (control: CK, : LP, propionic acid: PA) set up, and silages were opened after 60 d of ensiling.

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An in-depth understanding of nitrate-contaminated surface water and groundwater quality and associated risks is important for groundwater management. Hydrochemical characteristics and driving forces of groundwater quality and non-carcinogenic risks of nitrate were revealed by the integrated approaches of self-organizing map analysis, spatial visualization by geography information system, entropy and irrigation water quality indices, and human health risk model. Groundwater samples were categorized into two clusters by SOM analysis.

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Global maritime emissions, a 3% contributor to greenhouse gases, anticipate a surge of 90-130% by 2050. Regulatory challenges persist due to international governance gaps. Legislative strides, including the EU Emission Trading System, highlight global efforts.

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Identifying the natural background levels (NBLs), threshold values (TVs), sources and health risks of potentially toxic elements in groundwater is crucial for ensuring the water security of residents in highly urbanized areas. In this study, 96 groundwater samples were collected in urban area of Sichuan Basin, SW China. The concentrations of potentially toxic elements (Li, Fe, Cu, Zn, Al, Pb, B, Ba and Ni) were analyzed for investigating the NBLs, TVs, sources and health risks.

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Objective: Voxel-based morphometry (VBM), surface-based morphometry (SBM), and radiomics are widely used in the field of neuroimage analysis, while it is still unclear that the performance comparison between traditional morphometry and emerging radiomics methods in diagnosing brain aging. In this study, we aimed to develop a VBM-SBM model and a radiomics model for brain aging based on cognitively normal (CN) individuals and compare their performance to explore both methods' strengths, weaknesses, and relationships.

Methods: 967 CN participants were included in this study.

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The Yangtze River, the largest river in China, has not been comprehensively studied for its basin's microplastic pollution status. Therefore, a comprehensive investigation and assessment system of microplastics was developed at the river basin scale to characterize the spatial distribution and composition of microplastics in the Yangtze River Basin in order to analyze their influencing factors and assess their ecological risks. The results showed that the microplastic abundance in the study area ranged from 21 to 44 080 n·m, with an average abundance of 4 483 n·m.

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