Publications by authors named "Yuan Zhong"

We conducted a mechanistic and experimental study on zinc fluoride roasting for the recovery of NdFeB waste to address the difficulties faced during this pyrometallurgical recovery process, such as the high dependence on the quality of raw materials, the high energy consumption involved in roasting transformations, and the low added value of mixed rare earth products. Thermodynamic calculations showed the feasibility of fluorinating rare earths in NdFeB waste, and one-factor experiments were performed. The results showed that at a roasting temperature of 850 °C, a reaction time of 90 min, and 100% ZnF addition, the fluorination rate of rare earths could reach 95.

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Background: Pediatric bipolar disorder (PBD) is characterized by abnormal functional connectivity among distributed brain regions. Increasing evidence suggests a role for the limbic network (LN) and the triple network model in the pathophysiology of bipolar disorder (BD). However, the specific relationship between the LN and the triple network in PBD remains unclear.

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The INO80 chromatin remodeler is a versatile enzyme capable of several functions, including spacing nucleosomes equal distances apart, precise positioning of nucleosomes based on DNA shape/sequence and exchanging histone dimers. Within INO80, the Arp5 subunit plays a central role in INO80 remodeling, evidenced by its interactions with the histone octamer, nucleosomal and extranucleosomal DNA, and its necessity in linking INO80's ATPase activity to nucleosome movement. We find two distinct regions of Arp5 binding near the acidic pocket of nucleosomes.

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  • Antimicrobial sonodynamic therapy (SDT) shows potential in clinical settings due to its safety, noninvasiveness, and lack of resistance issues, but finding efficient sonodynamic sensitizers is challenging.
  • Researchers have introduced gold nanoclusters (Au NCs) as promising sonodynamic sensitizers, demonstrating significant antimicrobial effectiveness for infected wound treatment.
  • The combination of l-arginine (Arg) and 6-azido-2-thiothymidine (ATT) with Au NCs enhances their structural strength and increases reactive oxygen species (ROS) production, resulting in a dramatic reduction of microbial viability inside bacterial cells.
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Heat Shock Protein plays a vital role in maintaining protein homeostasis and protecting cells from stress stimulation. As one of the HSP40 proteins, DnaJ is a stress response protein widely existing in plant cells. The function and regulatory mechanism of ZmDnaJ, a novel chloroplast-localized type-III HSP40, in maize drought tolerance were characterized.

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In this study, an alginate/PEG hydrogel was developed via a thiol-Michael addition reaction between oxidized quinone of catechols on dopamine-grafted sodium alginate (SA-DA) and sulfhydryl groups of 4-arm polyethylene glycol tetra-thiol (4-arm PEG-SH) under mildly basic conditions. Through the formation of thiol-terminated catechol groups, the accompanying oxidized catechols are reduced, significantly strengthening the internal network structure of the hydrogel and improving tissue adhesion. Meanwhile, the hydrogels have excellent self-healing properties due to the dynamic non-covalent bonds between the groups.

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Feature selection (FS) is essential in machine learning and data mining as it makes handling high-dimensional data more efficient and reliable. More attention has been paid to unsupervised feature selection (UFS) due to the extra resources required to obtain labels for data in the real world. Most of the existing embedded UFS utilize a sparse projection matrix for FS.

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The pathways between personality traits and older adults' quality of life (QOL) have been well studied. However, perceived social support and positive coping styles should not be ignored by older adults' QOL. Hence, this study examines the chain mediating role of perceived social support and positive coping styles between personality traits and older adults' QOL.

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  • * Traditional treatments like methotrexate (MTX) face limitations such as low effectiveness, immune system clearance, and side effects, prompting the development of a new nanomedicine (MTX NPs) that combines MTX with a nanocarrier (TA-PBA NPs) to enhance treatment.
  • * A biomimetic version of the nanomedicine, camouflaged with macrophage membranes (MM@MTX NPs), effectively reduces inflammation by modulating cytokine levels and promoting beneficial macrophage functions, presenting a promising new approach for RA therapy. *
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Mammalian voltage-gated calcium channels (Ca) play critical roles in cardiac excitability, synaptic transmission, and gene transcription. Dysfunctions in Ca are implicated in a variety of cardiac and neurodevelopmental disorders. Current pharmacological approaches to enhance Ca activity are limited by off-target effects, drug metabolism issues, cytotoxicity, and imprecise modulation.

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  • The study aims to assess the effectiveness of combining microfracture treatment with fibrinogen and platelet-rich plasma (PRP) for knee osteoarthritis, addressing a common yet under-researched treatment approach.
  • A total of 113 patients were analyzed, with one group receiving the combined treatment and the other only microfracture, to evaluate differences in knee function and quality of life over time.
  • Results showed that patients in the combined treatment group experienced significantly better improvements in quality of life and knee function scores compared to those who received only microfracture, indicating potential benefits of the combined approach in managing knee osteoarthritis.
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  • Methanol dehydrogenation (MD) is important for hydrogen energy production, and nonmetal elements can enhance the performance of MD catalysts, although their role is not well understood.
  • The study uses density functional theory (DFT) to analyze methanol dehydrogenation on RuP surfaces and designs RuP catalysts in various ratios to improve catalytic activity.
  • Results show that the RuP(112) catalyst is the most effective, exhibiting improved resistance to CO poisoning and higher anti-coking ability, which makes these catalysts more stable and active for methanol dehydrogenation.
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In this paper, for the sake of enhancing the security of wireless transmission, we proposed a novel system based on spatial and direction modulation (SDM) combined with generalized spatial modulation (GSM) which is aided by covert information mapping (CIM), termed as the CIM-GSDM system. In such a system, the legitimated user is equipped with distributed receivers so as to demodulate the conveyed signal by exploiting its indices while disturbing eavesdroppers for information security. More specifically, part of the information is modulated into the indices of the legitimated distributed receiver subsets with the aid of the mapped covert information and the interference matrix, while another part of the message is arranged by conventional amplitude-phase modulation.

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Health risk prediction aims to forecast the potential health risks that patients may face using their historical Electronic Health Records (EHR). Although several effective models have developed, data insufficiency is a key issue undermining their effectiveness. Various data generation and augmentation methods have been introduced to mitigate this issue by expanding the size of the training data set through learning underlying data distributions.

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The widespread adoption of Electronic Health Record (EHR) systems in healthcare institutes has generated vast amounts of medical data, offering significant opportunities for improving healthcare services through deep learning techniques. However, the complex and diverse modalities and feature structures in real-world EHR data pose great challenges for deep learning model design. To address the multi-modality challenge in EHR data, current approaches primarily rely on hand-crafted model architectures based on intuition and empirical experiences, leading to sub-optimal model architectures and limited performance.

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Innovative superabsorbent hydrogels were synthesized from watermelon rind (WR), an abundant agricultural waste. The process involved free radical polymerization of acrylic acid (AA) and acrylamide (AAm) with WR particles activated by ammonium persulfate (APS), resulting in (AA-co-AAm)/WR hydrogels with high equilibrium swelling capacities of 749 ± 32 g/g. Notably, after eight cycles, the WR hydrogel maintained 94.

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  • The text discusses the importance of predicting molecular properties for drug design, highlighting challenges faced by traditional graph neural networks (GNNs) due to low clustering and dominating chain structures in molecular graphs.
  • A new model called the chain-aware graph neural network is introduced, which enhances node feature expressiveness by capturing chain structures and improving feature interaction through initial residual difference connections.
  • Empirical analyses demonstrate that this new approach outperforms standard graph convolution in capturing long-range dependencies in real-world molecular datasets, and the code is available for public access.
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Ions of mercury, one of the most hazardous heavy metals in nature, pose serious risks to the environment and human health. Blue sulfur-doped carbon dots (SCDs) from corn stalks were utilized as material. The SCDs were incorporated into a carboxylated hydrogel modified with sulfur, and a compound gel (SCDs-KTOCS gel) was successfully fabricated for simultaneous fluorescence detection and Hg(II) adsorption.

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  • Osteo-sarcopenia (OS) is a growing health issue combining sarcopenia (muscle loss) and osteoporosis (bone loss), leading to severe problems like muscle weakness and increased risk of falls and fractures.
  • The study evaluates the effectiveness and safety of combining vitamin D supplementation with whole-body vibration training (WBVT) in a multicenter clinical trial involving random assignments to different treatment groups.
  • Primary outcomes focus on measuring bone mineral density, muscle mass, and grip strength, while secondary outcomes look at various biomarkers and physical performance tests to gauge overall improvement and potential new treatment strategies for OS.
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While vaccines are crucial to end the COVID-19 pandemic, public confidence in vaccine safety has always been vulnerable. Many statistical methods have been applied to VAERS (Vaccine Adverse Event Reporting System) database to study the safety of COVID-19 vaccines. However, none of these methods considered the adverse event (AE) ontology.

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Background: Pancreatic neuroendocrine neoplasm (pNEN) poses significant challenges in clinical management due to their heterogeneity and limited treatment options. In this study, we investigated the potential of simvastatin (SIM) as an anti-tumor agent in pNEN.

Methods: We conducted cell culture experiments using QGP-1 and BON-1 cell lines and assessed cell viability, proliferation, migration, and invasion following SIM treatment.

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  • Atherosclerosis involves chronic inflammation in blood vessels and lipid metabolism issues, but biomimetic nanoplatforms offer a promising treatment approach.
  • Researchers developed MM@NPs by encapsulating cyclodextrin-based nanoparticles with a specific peptide, allowing targeted delivery to inflamed endothelial cells.
  • In tests on ApoE mice, MM@NPs effectively reduced oxidative stress, lowered inflammation, and decreased cholesterol buildup, indicating potential for treating atherosclerosis.
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Background: There is still a lack of knowledge about the relationship between metabolic syndrome (MetS) and Parkinson's disease (PD). This study aimed to determine whether MetS increases PD risk.

Methods: To identify relevant clinical studies, databases such as PubMed, Embase, and the Cochrane Library were searched in depth from the inception of databases until March 31, 2024.

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  • - The segment anything model (SAM) has shown strong results in general image segmentation but struggles with medical images, particularly in accurately segmenting small and irregular tumors due to its 2D design and inability to handle 3D data effectively.
  • - The authors propose a new method to adapt SAM for 3D medical image segmentation by modifying its architecture while keeping most of its pre-trained parameters unchanged, introducing only a few lightweight adapters for fine-tuning.
  • - Experimentation on various tumor segmentation datasets shows that their adjusted model significantly outperforms existing state-of-the-art medical segmentation models and can efficiently capture spatial patterns in 3D medical images with minimal changes.
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