Publications by authors named "Shang Shi"

Background: Inflammatory bowel disease (IBD) is affected by interactions between intestinal microbial factors, abnormal inflammation, and an impaired intestinal mucosal barrier. Neutrophils (NE) are key players in IBD. () is reported to contribute to IBD progression.

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  • Using high donor-number additives to adjust cationic solvation can create a stable solid electrolyte interphase (SEI) on magnesium (Mg) anodes, which requires careful attention to electrolyte chemistry and sufficient additive amounts.
  • The study introduces a new self-assembled monolayer (SAM) strategy using trifluoromethyltrimethylsilane (TFTMS), which enhances the SEI by modulating the absorption structure at the anode, improving anion-Mg interactions.
  • With this approach, the new electrolytes allow for stable cycling of symmetric cells for up to 1000 hours and efficient reversible Mg plating/stripping, showing promise for wider application in rechargeable magnesium batteries.
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Synthesizing anisotropic polymeric nanoparticles (NPs) with well-defined shapes, dimensions, and molecular orientations is a very challenging task. Herein, we report the synthesis of surprisingly highly uniform shape-anisotropic polymer NPs with uniaxial internal molecular orientation. Keys to our method are synchronized polymerization and self-assembly (SPSA), which can even be realized by regular dispersion polymerization.

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Deep generative models have advantages in modeling complex time series and are widely used in anomaly detection. Nevertheless, the existing deep generative approaches mainly concentrate on the investigation of models' reconstruction capability rather than customizing a model suitable for anomaly detection. Meanwhile, VAE-based models suffer from posterior collapse, which can lead to a series of undesirable consequences, such as high false positive rate etc.

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Non-small cell lung cancer (NSCLC) is a malignant tumor that threatens human life and health. The development of a new NSCLC risk assessment model based on electronic medical records has great potential for reducing the risk of cancer recurrence. In this process, machine learning is a powerful method for automatically extracting risk factors and indicating impact weights for NSCLC deaths.

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The use of carbon materials in porous electrodes has impressive advantages. However, precisely tailoring the multilevel pore structure of carbon electrodes remains an unsolved challenge. Here, we report a highly efficient site-selective growth strategy to synthesize colloidal carbon rings by templating patchy droplets.

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The green synthesis method of fly ash-based NaA zeolite was explored to reduce the synthesis cost and environmental hazards. For the prepared NaA samples, the effects of crystallization time, solid-liquid ratio, and Si/Al ratio were systematically studied. CO adsorption isotherm is used for adsorption model fitting analysis and adsorption selectivity determination.

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Accurate occupant injury prediction in near-collision scenarios is vital in guiding intelligent vehicles to find the optimal collision condition with minimal injury risks. Existing studies focused on boosting prediction performance by introducing deep-learning models but encountered computational burdens due to the inherent high model complexity. To better balance these two traditionally contradictory factors, this study proposed a training method for pre-crash injury prediction models, namely, knowledge distillation (KD)-based training.

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Microneedle (MNs), as a novel dermal drug delivery formulation, have drawn a lot of attention in recent years. Drug release and diffusion behavior in dermal interstitial fluid (ISF) determines the pharmacokinetics and effectiveness of MNs, which have not been clearly elucidated until now. Herein, we develop surface-enhanced Raman scattering (SERS)-based detection MNs (D-MNs) for the sensitive analysis of model drugs in ISF.

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Confusoside (CF), a major chemical compound in the leaves of Wall., is a dihydrochalcone glycoside with excellent antioxidant and anti-inflammatory effects. However, the hepatoprotective effect of CF has not been described.

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Dihydrochalcones are important bioactive ingredients in plants. is an edible and medicinal plant, and its leaves are rich in dihydrochalcones. Confusoside (CF) is the most abundant dihydrochalcone in leaves, which is traditionally used in the treatment of liver diseases.

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Metal-organic frameworks (MOFs) assembled from metal nodes and organic ligands have received significant attention over the past two decades for their fascinating porous properties and broad applications. Colloidal MOFs (CMOFs) not only inherit the intrinsic properties of MOFs, but can also serve as building blocks for self-assembly to make functional materials. Compared to bulk MOFs, the colloidal size of CMOFs facilitates further manipulation of CMOF particles in a single or collective state in a liquid medium.

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Skin interstitial fluid (ISF)-based microneedle (MN) sensing has recently exhibited wide promise for the minimally invasive and painless diagnosis of diseases. However, it is still a great challenge to diagnose more disease types due to the limited in situ sensing techniques and insufficient ISF biomarker sources. Herein, ISF is employed to pioneer the tracking of acute peritonitis progression via surface-enhanced Raman scattering (SERS) tags labeled MNs patch technique.

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Background: Despite advances in anastomotic techniques and perioperative care, the incidence of anastomotic leak (AL) has not substantially decreased over time. Although it is known that AL etiology is multifactorial and the mechanisms involved remain unclear, there is accumulating evidence pointing at AL related to gut microbiota.

Method: We firstly performed a clinical study to analyze the gut microbiota between colorectal cancer patients who developed AL and those who did not (nAL) using 16S-rRNA sequencing and quantitative real-time PCR to identify AL risk bacterial taxa.

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Microplastics (MPs) are widely present in aqueous environments and aged by natural components of complex water environments, such as salinity (SI) and dissolved organic matter (DOM). However, the effects of multicondition aging on the physicochemical properties and environmental behavior of MPs have not been completely investigated. In this study, the degradable MP polybutylene succinate (PBS) was used to investigate the environmental behavior of sulfamethoxazole (SMZ) and was compared with polypropylene (PP).

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The use of biochar materials as catalysts to activate persulfate (PS) for the degradation of antibiotics has attracted much attention. In this study, a carbonaceous material (Cu/Zn-SBC) was prepared from sewage sludge by hydrothermal modification. The efficiency of PS activation by Cu/Zn-SBC was investigated using tetracycline (TC) as the model antibiotic.

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Microneedles (MNs) are currently one of the most promising tools for skin interstitial fluid (ISF)-based biosensing, while it is still a challenge to expand the detectable biomarkers in ISF due to limited MNs types and detection techniques. Herein, highly sensitive internal-standard surface-enhanced Raman scattering microneedles (IS-SERS-MNs) were developed, which enabled the reliable detection of bacterial metabolites in ISF as new detectable biomarkers for infection diagnosis. The developed IS-SERS-MNs can not only directly detect pyocyanin (a representative bacterial metabolite) present in mouse dermal ISF but also indirectly detect pyocyanin in the hypodermis via its diffusion into the dermis, revealing a new possible pathway for the source of biomarkers in dermal ISF.

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Background And Aims: Oral xerostomia remains one of the most common complications of differentiated thyroid carcinoma patients (DTC) after radioiodine therapy (RAI). Environmental factors in the etiology of xerostomia are largely unknown. We aimed to characterize the oral microbiota signatures and related biological functions associated with xerostomia and identify environmental factors affecting them.

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Background And Aims: Colon anastomotic leak (CAL) is considered one of the most feared and serious postoperative complications in colorectal cancer (CRC) patients, with no effective prevention strategies to date. Based on previous studies, gut microbiota is associated with anastomotic healing, but its ability to effectively promote anastomotic healing remains largely unknown.

Methods: We performed a clinical study to analyze the gut microbiota profiling in CRC patients who developed CAL and those who did not (nCAL) using 16S-rRNA-based next-generation sequencing (NGS).

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Interferon-induced protein 35 (IFI35), is currently acknowledged to govern the virus-related immune inflammatory responses. However, the biological significance and function of IFI35 in renal cell cancer (RCC) is still not well understood. Here, IFI35 expression and function were investigated in RCC tissues, renal cancer cells, and animal models.

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Health concerns about food safety have increased in recent years. In order to ensure the safety and increase the shelf-life of food, many methods have been used to slow down the oxidation rate of food fat. In order to solve this problem, a new type of antioxidant-active packaging has emerged.

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Background: Thyroid hormone withdrawal (THW) in postoperative thyroid cancer patients who need always accompanied by complications (e.g., dyslipidemia and constipation).

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Nonlinear Compton scattering is an inelastic scattering process where a photon is emitted due to the interaction between an electron and an intense laser field. With the development of X-ray free-electron lasers, the intensity of X-ray laser is greatly enhanced, and the signal from X-ray nonlinear Compton scattering is no longer weak. Although the nonlinear Compton scattering by an initially free electron has been thoroughly investigated, the mechanism of nonrelativistic nonlinear Compton scattering of X-ray photons by bound electrons is unclear yet.

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The active behaviors of pedestrians, such as avoidance motions, affect the resultant injury risk in vehicle-pedestrian collisions. However, the biomechanical features of these behaviors remain unquantified, leading to a gap in the development of biofidelic research tools and tailored protection for pedestrians in real-world traffic scenarios. In this study, we prompted subjects ("pedestrians") to exhibit natural avoidance behaviors in well-controlled near-real traffic conflict scenarios using a previously developed virtual reality (VR)-based experimental platform.

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