Publications by authors named "XiangYu Li"

Objectives: To evaluate the impact of Artificial Intelligence Assisted Prevention and Management for Delirium (AI-AntiDelirium) on improving adherence to delirium guidelines among nurses in the intensive care unit (ICU).

Research Methodology/design: Between November 2022 and June 2023, A cluster randomized controlled trial was undertaken.

Setting: A total of 38 nurses were enrolled in the interventional arm, whereas 42 nurses were recruited for the control arm in six ICUs across two hospitals in Beijing, comparing nurses' adherence and cognitive load in units that use AI-AntiDelirium or the control group.

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A generic and versatile CT Image Reconstruction (CTIR) scheme can efficiently mitigate imaging noise resulting from inherent physical limitations, substantially bolstering the dependability of CT imaging diagnostics across a wider spectrum of patient cases. Current CTIR techniques often concentrate on distinct areas such as Low-Dose CT denoising (LDCTD), Sparse-View CT reconstruction (SVCTR), and Metal Artifact Reduction (MAR). Nevertheless, due to the intricate nature of multi-scenario CTIR, these techniques frequently narrow their focus to specific tasks, resulting in limited generalization capabilities for diverse scenarios.

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Porphyrins bearing the unique 18π electron tetrapyrrolic macrocycles exhibit interesting photophysical and photochemical properties and have been considered as promising ligands for the construction of functionalized metal-organic frameworks (MOFs). The combination of porphyrin-type ligands with lanthanide metals featured with diverse coordination environments to realize the novel functions as well as the diversity of the MOF is thus attractive but challenging. Herein, an unprecedented porphyrin-based samarium MOF (Sm-BCPP) composed of a 5,10-bis(4-carboxyphenyl)-10,20-diphenyl porphyrin (HBCPP) ligand and samarium-formed one-dimensional clusters has been constructed via a solvothermal approach, and the synthesized Sm-BCPP has excellent chemical stabilities, exhibiting red luminescence.

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Health benefit effects of bioactive compounds depend on their bioavailabilities, which could vary according to factors including food matrix and digestion environment. To understand the "bioaccessible" health benefit of red pitay pulp, the INFOGEST static in vitro simulation of gastrointestinal (GI) digestion model and targeted metabolomics method were applied to unravel the fates of bioactive compounds in the whole food of red pitaya pulp during GI digestion. The antioxidant activity as one of the health benefit indices was also assessed to compare the changes in bioactive properties of red pitaya pulp.

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, considered a potential vector for visceral leishmaniasis (VL), is distributed in the southern Gansu and northern Sichuan regions in China. However, the high similarity in the morphology of and s.s.

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In response to the rotary ploughing equipment in the stubble land to implement protective operations, the stubble is large in number and strong in toughness, not easy to crush, resulting in rotary ploughing equipment to produce entanglement and increased resistance to rotary ploughing and other issues. In this study, researchers designed a bionic rotary tillage blade (B-RTB) based on the bionic structural equations of the Marmota claw. A straw-soil complex shear performance test was conducted to investigate the effect of straw on soil shear strength.

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Rapidly identifying Anopheles-carrying malaria parasites is crucial for imported malaria prevention. However, suitable methods still lack quick detection in limited-resource situations. In this study, disc microfluidic isothermal amplification integrating loop-mediated isothermal amplification (LAMP) and microfluidic chip technology were applied to develop rapid and precise detection with low resource requirements.

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Background: In China, investigations into the efficacy of neurological clinical teaching try to ascertain the impacts of various teaching methods on intervention outcomes. However, these studies often suffer from limited sample sizes, single-center studies and low quality, compounded by the lack of direct comparative analyses between teaching methods, thereby leaving the identification of the most effective method unresolved. This study aims to compare the effectiveness of various teaching methods in the standardized training of Chinese neurology clinicians to inform an optimal teaching model utilizing a Bayesian network meta-analysis (NMA) approach.

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Objective: This study aims to introduce a two-stage surgical procedure, namely oblique lateral interbody fusion (OLIF), for spinal disorders treatment. Furthermore, clinical outcomes and imaging results are analyzed between OLIF with posterior fixation and posterior lumbar interbody fusion (PLIF) with fixation for lumbosacral curve-driven degenerative lumbar scoliosis (DLS).

Methods: 146 patients with type 2 DLS who underwent OLIF or PLIF between January 2019 and November 2023 were included.

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Objective: Intrahepatic cholangiocarcinoma (iCCA) is a highly lethal hepatobiliary malignancy with an increasing incidence annually. Extensive research has elucidated the existence of a reciprocal interaction between platelets and cancer cells, which promotes tumor proliferation and metastasis. This study aims to investigate the function and mechanism underlying iCCA progression driven by the interplay between platelets and tumor cells, aiming to provide novel therapeutic strategies for iCCA.

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Background: With the development of lifestyle, elevated uric acid and hyperuricemia have become important factors affecting human health, but the biological mechanism and risk factors are still unclear.

Methods: A multi-stage, cross-sectional study of 41,136 adults from the NHANES 2003-2018 was conducted. Serum uric acid concentrations, platelet, neutrophil, lymphocyte, and monocyte counts were measured.

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Background: Lumbar disc degeneration (LDD) is a ubiquitous finding in low back pain. Many different etiology factors may explain the LDD process, such as bone morphogenetic proteins (BMPs), DNA methylation, and gut microbiota. Until recently the mechanisms underlying the LDD process have been elusive.

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Diabetic kidney disease (DKD), one of the most prevalent microvascular complications of diabetes, arises from dysregulated glucose and lipid metabolism induced by hyperglycemia, resulting in the deterioration of renal cells such as podocytes and tubular epithelial cells. Programmed cell death (PCD), comprising apoptosis, autophagy, ferroptosis, pyroptosis, and necroptosis, represents a spectrum of cell demise processes intricately governed by genetic mechanisms in vivo. Under physiological conditions, PCD facilitates the turnover of cellular populations and serves as a protective mechanism to eliminate impaired podocytes or tubular epithelial cells, thereby preserving renal tissue homeostasis amidst hyperglycemic stress.

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Introduction: Macrophages and T cells play crucial roles in liver physiology, but their functional diversity in hepatocellular carcinoma (HCC) remains largely unknown.

Methods: Two bulk RNA-sequencing (RNA-seq) cohorts for HCC were analyzed using gene co-expression network analysis. Key gene modules and networks were mapped to single-cell RNA-sequencing (scRNA-seq) data of HCC.

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NAC (NAM, ATAF, and CUC) transcription factors are essential in regulating plant stress response and senescence, with their functions being modulated by alternative splicing. The molecular mechanisms of stress-induced premature flowering and drought tolerance in (moso bamboo) are not yet fully understood. In this study, a novel NAC variant derived from , named , was isolated.

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This study focused on extracting holocellulose from Changbai larch waste, which is rich in hexose and beneficial for furan chemicals production. Various alkaline deep eutectic solvents (DESs) was applied in the extraction of holocellulose. DES composed of lysine (Lys) and 2-aminoethanol (MEA) with strong alkalinity had a superior ability to remove lignin, and the purity of holocellulose could reach 82.

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Background: Cancer is one of the leading causes of mortality worldwide, highlighting the urgent need for a deeper molecular understanding and the development of personalized treatments. The present study aims to establish a solid association between gene expression and patient survival outcomes to enhance the utility of the Human Pathology Atlas for cancer research.

Methods: In this updated analysis, we examined the expression profiles of 6918 patients across 21 cancer types.

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Bamboo forests are vulnerable to extreme cold, as well as drought caused by declining rainfall or persistent hot, under global climate change. The C-repeat binding factors/dehydration-responsive element binding protein 1s (CBFs/DREB1s) are vital to acquiring tolerance to deal with the changing climate in plants. Herein, we investigated the evolution of CBFs/DREB1s in four temperate or tropical woody bamboos.

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In this paper, homogenization heat treatment and laser shock peening (LSP) processes were successfully carried out regulate the microstructure (grain size, residual stress, and element distribution, ) of the AZ31B magnesium alloy substrate surface. Based on the regulated AZ31B magnesium alloy substrate surface, it further explored and analyzed the mechanism and influence pattern of the coupling distribution of grain size and residual stress on the intergranular corrosion susceptibility of the substrate surface. Scanning electron microscopy (SEM) was used to observe the surface morphology, scanning Kelvin probe force microscopy (SKPFM) to observe the surface potential, zero resistance ammeter (ZRA) and scanning vibrating electrode technique (SVET) to measure the galvanic current on the surface, and electrochemical tests were conducted to evaluate its surface corrosion behavior.

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Background: Trastuzumab deruxtecan (T-DXd) is a novel generation antibody-drug conjugate. However, current evidence for the safety of T-DXd is mostly limited to clinical trials. Therefore, we mine and analyze adverse events (AEs) caused by T-DXd based on the FAERS database and to provide reference for the safe use of drug in clinical practice.

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Cyclohexane (Cy), commonly produced by the catalytic hydrogenation of benzene (Bz), is used in large quantities as a solvent or feedstock for nylon polymers. Removing trace unreacted Bz from the Cy product is technically difficult due to their similar molecular structures and physical properties. Herein, we report that a metal-organic framework (MOF) adsorbent shows a molecular sieving effect for Bz and Cy with record-high Bz/Cy adsorption selectivities (216, 723, and 1027) in their liquid mixtures (v/v = 1:1, 1:10, and 1:20), and traps Bz molecules effectively even at low partial pressure in the vapor phase (e.

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Graphitic carbon nitride (g-CN) has garnered significant attention in photocatalytic pollutant degradation for its non-toxicity and cost-effectiveness. However, its limited photocatalytic performance has hindered its applications. Addressing this, we successfully synthesized a novel feathery multifunctional catalyst, phosphorus and sulfur co-doped g-CN (PS-CN), with an enlarged pore network through a hydrothermal method.

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Using deep eutectic solvents (DES) to pretreat wheat straw (WS) and extract lignin-containing nanocellulose (LCNC). Acrylic acid/choline chloride (AA/ChCl) polymerizable deep eutectic solvents (PDES) were used as the primary polymerization network, combined with polyvinyl alcohol (PVA). Lignocellulose nanocrystals (LCNC) oxidized by sodium periodate were prepared as dialdehyde-based nanocellulose (DCNC) to serve as the crosslinking agent.

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Background: Deciphering spatial domains using spatially resolved transcriptomics (SRT) is of great value for characterizing and understanding tissue architecture. However, the inherent heterogeneity and varying spatial resolutions present challenges in the joint analysis of multimodal SRT data.

Results: We introduce a multimodal geometric deep learning method, named stMMR, to effectively integrate gene expression, spatial location, and histological information for accurate identifying spatial domains from SRT data.

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Two-dimensional conjugated metal-organic frameworks (2D c-MOFs) are emerging as promising electrode materials for electrochemical energy storage devices. However, a viable path to realize superior dual-ion storage in 2D c-MOFs has remained elusive. Here, we report the synthesis of Cu(N-OHPTP) 2D c-MOFs (x=0,1,2; OHPTP=octahydroxyphenanthrotriphenylene) with precise aromatic carbon-nitrogen arrangements, based on the π-conjugated OHPTP ligand incorporated with one or two nitrogen atoms.

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