Publications by authors named "Hua Shen"

BACKGROUND Primary retroperitoneal tumors (PRTs) are uncommon, with retroperitoneal dermoid cysts being particularly rare. The cystic cavity of mature cystic teratomas (dermoid cysts) is lined with squamous epithelium and primarily filled with sebaceous material. These lesions often lack specific symptoms, leading to delayed diagnosis.

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High-power spot-ring fiber lasers effectively suppress metal spatter in laser manufacturing such as power battery welding. Increasing expectations regarding processing quality have necessitated the incorporation of additional ring beams to enhance the preheating effect. However, traditional dual-core fiber methods are limited by the waveguide structure.

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Sustained amplified stimulated emission (ASE) under continuous-wave (cw) excitation is a prerequisite for any new gain material being developed for lasing applications. Despite the great success achieved in colloidal quantum dot (QD) lasers, the cw light amplification is hampered by the high pump threshold and thermal effects of QD solids. Herein, the first-ever cw ASE and lasing from QDs relevant for practical implementations are realized by adopting the microfluidic dot-in-matrix design.

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Subaperture stitching interferometry (SSI) is an essential technique for testing surface shape errors of complex surfaces. However, the accuracy of full-aperture surface reconstruction is affected by positioning errors caused by mechanical movement. To address this issue, this paper presents a static SSI method based on dynamic wavefront modulation using a spatial light modulator (SLM).

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Background: This study evaluated the efficacy and safety of tafolecimab in patients with type 2 diabetes (T2D) and hypercholesterolemia by a post-hoc analysis of pooled data from three phase 3 trials.

Methods: Data from up to 12 weeks were analyzed to assess the effects of tafolecimab 450 mg every four weeks (Q4W) in patients with T2D and hypercholesterolemia. The primary endpoint was the percentage change in low-density lipoprotein cholesterol (LDL-C) levels from baseline to week 12.

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Acute myocardial infarction (AMI) can be fatal with sudden death, heart failure, and cardiac rupture. However, it is a challenge to achieve point-of-care testing (POCT) for cardiac troponin T (CTnT), an acute myocardial infarction biomarker, using conventional ELISA because it requires professional expertise and involves time-consuming steps. Herein, we propose a printed immunosensing photonic crystal biochip (PCB), which enables the sensitive, convenient, and non-invasive detection of CTnT.

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Natural paper-based materials are desirable candidate materials for disposable hygiene products due to their environmental sustainability, cost-effectiveness, and biodegradability. However, their practical application is often hindered by poor water stability and limited functional properties. In this study, we developed a wet-laid web formation and hot-pressing technique to produce porous, layered paper-based materials with high porosity, flexibility, water stability, and antibacterial properties.

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Biomass aerogels have garnered increasing attention recently due to their wide-ranging applications. Yet, developing cost-effective and versatile aerogel materials remains challenging, as conventional biomass material production processes are complex and environmentally unfriendly. Loofah fiber, a porous cellulose fiber with a natural three-dimensional structure, has been recognized as a new sustainable resource in recent years.

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Seawater is a valuable source of uranium (U) resources, and harnessing it effectively can play a crucial role in promoting nuclear energy. However, current polymer-based adsorbents typically exhibit slow adsorption rates and insufficient selectivity. In this work, the efficient uranyl ion (UO ) adsorbent (UiO-66-AO) was obtained from UiO-66-NH through a simple and mild approach post synthesis modification (PSM).

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Biocompatible electrospun fibrous scaffolds that mimic the extracellular matrix (ECM) have significant potential in tissue engineering and wound healing applications. This study aimed to develop a novel scaffold by incorporating Discopodium penninervium (DP) leaf extract into chitosan-polyvinyl alcohol (CH-PVA) scaffolds via electrospinning and evaluate their biocompatibility, antibacterial properties, and efficacy in wound healing. Gas chromatography-mass spectrometry (GC-MS) analysis identified bioactive compounds in the DP extract, including phenolic acids, phytol, linolenic acid, and gamma-sitosterol, which are known for their anti-inflammatory, antioxidant, and skin-regenerative properties.

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Multi-proxy climate records from loess deposits in northern China and speleothem δO records from caves in southern China are widely used to reconstruct changes in the Asian summer monsoon (ASM) on orbital timescales. However, ASM variations inferred from these records display different dominant periods, complicating our understandings of the forcing mechanism of the ASM. This is partly because of the uncertainty and complexity inherent in interpreting the climatic significance of the commonly-used physicochemical indicators for loess, such as those influenced by pedogenic processes and sedimentation rates.

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Owing to the weak intermolecular interaction and inferior mechanical properties, the application of biobased gelatin as a textile fiber can be limited. Although lignin is a promising biobased filler for reinforcing gelatin, the interaction mechanism and mechanical performance of lignin/gelatin composites remain insufficiently explored. In this work, the molecular interaction mechanism in lignin/gelatin blends was systematically investigated by using molecular dynamics (MD) simulations.

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The primary clinical challenges associated with postoperative maxillofacial osteosarcoma include high mortality rates and significant local recurrence. Additionally, patients often exhibit substantial bone defects that are incapable of self-healing, necessitating the implantation of scaffolds. Multifunctional hydrogels, which enable sustained local release of therapeutic agents and enhance scaffold surface properties, demonstrate significant potential for the postoperative management of maxillofacial osteosarcoma.

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Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the BC Cancer Breast Screening Program. Materials and Methods In this retrospective study of 136 700 female individuals (mean age, 58.8 years ± 9.

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Unlabelled: Microwave imaging has been proposed for breast cancer detection and treatment monitoring. The introduction of new approaches or next-generation prototype systems requires characterization of expected variability when scanning participants over clinically relevant timeframes.

Objective: The objective of this study is to quantify the reliability and variability in scans of a group of 35 volunteers collected at multiple time points with a next-generation microwave imaging system.

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Background: Electroencephalogram (EEG) microstates, which reflect large-scale resting-state networks of the brain, have been proposed as potential endophenotypes for methamphetamine use disorder (MUD). However, current endophenotypes lack refinement at the frequency band level, limiting their precision in identifying key frequency bands associated with MUD.

Methods: In this study, we investigated EEG microstate dynamics across various frequency bands and different tasks, utilizing machine learning to classify MUD and healthy controls.

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Objective: To develop an original-mirror alignment associated deep learning algorithm for intelligent registration of three-dimensional maxillofacial point cloud data, by utilizing a dynamic graph-based registration network model (maxillofacial dynamic graph registration network, MDGR-Net), and to provide a valuable reference for digital design and analysis in clinical dental applications.

Methods: Four hundred clinical patients without significant deformities were recruited from Peking University School of Stomatology from October 2018 to October 2022. Through data augmentation, a total of 2 000 three-dimensional maxillofacial datasets were generated for training and testing the MDGR-Net algorithm.

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Electrospinning is a remarkably straightforward and adaptable technique that can be employed to process an array of synthetic and natural materials, resulting in the production of nanoscale fibers. It has emerged as a novel technique for biomedical applications and has gained increasing popularity in the research community in recent times. In the context of tissue repair and tissue engineering, there is a growing tendency toward the integration of biomimetic scaffolds and bioactive macromolecules, particularly proteins and growth factors.

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Readily available animal tissue, such as ground beef, is a convenient material to represent the dielectric properties of biological tissue when validating microwave imaging and sensing hardware and techniques. The reliable use of these materials depends on the accurate characterization of their properties. In this work, the effect of physiologically relevant levels of dehydration on ex vivo tissue samples is quantified while controlling for variation within and between samples.

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In order to delay the progression of Rheumatoid Arthritis (RA) in patients, and to prevent further teratogenesis and irreversible bone erosion through drug intervention in the early stages of inflammation, this experiment used the mRNA encoding heat shock protein 10 (HSP10) (H-mRNA) as the main therapeutic drug and used Microfluidics technology to prepare lipid nanoparticles (LNP) (H-mRNA LNPs) containing H-mRNA, and the surface of H-mRNA-LNPs was modified using heparin particals to obtain the final formulation H-mRNA-LNPs @ heparin/ Protamine. Through the sequence modification and effect evaluation of H-mRNA, we explored the formulation screening, physical characterization, cytotoxicity in vitro, distribution in vivo, pharmacodynamics in vivo, and safety in vivo of the prepared lipid nanoparticles, which proved that this nano-preparation had good anti Rheumatoid Arthritis effects, and conducted a preliminary exploration for the application of nucleic acid drugs in the treatment of diseases outside of tumors. This research would provide new ideas for the treatment of RA.

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Infrared small target detection technology has been widely applied in the defense sector, including applications such as precision targeting, alert systems, and naval monitoring. However, due to the small size of their targets and the extended imaging distance, accurately detecting drone targets in complex infrared environments remains a considerable challenge. Detecting drone targets accurately in complex infrared environments poses a substantial challenge.

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Colloidal quantum dots (QDs) are attractive gain materials owing to the wide range of accessible colors. However, the existing QD lasers struggle to combine technologically relevant metrics of low threshold and long operating duration with considerable output powers. Here a new class of full-color QD lasers are reported, featuring low threshold, uninterrupted operation for dozens of hours, and multimilliwatt output under quasi-steady-state pumping, by coupling the high-gain QDs with a double-clad pumping scheme.

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Biomass-based aerogel with lightweight and high sustainability is desired for various applications such as thermal insulation, self-cleaning, and oil contaminant removal. However, systematic comparison and thorough investigation are required to understand the effects of constituent materials and structures on the application properties of biomass-based aerogels. Herein, the construction of superhydrophobic aerogel with controllable hierarchical structure and great reusability was optimized applying a novel design based on the waste silk-derived microfibrillated fibers and microfibrillated aramid fibers.

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