Publications by authors named "Shuxiao Li"

Background: The excessive formation of neutrophil extracellular traps (NETs) is involved in delayed wound healing under diabetic conditions. However, potential therapeutic agents remain underexplored. Our present study aimed to explore the effects of Ro 106-9920, a specific nuclear factor kappa B (NF-κB) inhibitor, on diabetic wound healing and to elucidate the underlying mechanisms.

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Inhaled nitric oxide (iNO) is a promising therapy for a variety of pulmonary conditions but is limited by the cost, portability, and safety limitations of the compressed gas cylinders used in conventional iNO delivery systems. On-demand generation of iNO via thermally controlled decomposition of an NO-genic precursor is an attractive alternative to systems based on compressed gas cylinders. However, most NO-releasing materials, which would form the basis of such a system, are designed for in vivo applications, but not for gas flow release at elevated temperatures.

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Melanoma is an aggressive type of skin cancer that arises from melanocytes, the cells responsible for producing skin pigment. In contrast to non-melanoma skin cancers like basal cell carcinoma and squamous cell carcinoma, melanoma is more invasive. Melanoma was distinguished by its rapid progression, high metastatic potential, and significant resistance to conventional therapies.

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Background: Melanoma, a malignant neoplasm originating from melanocytes, is a form of skin cancer with rapidly increasing global incidence, often exacerbated by UV radiation[1]. Particularly, acral melanoma, characterized by its swift metastasis and poor prognosis, underscores the significance of further research into its heterogeneity. Single-cell sequencing has been widely utilized in the study of tumor heterogeneity; however, research related to melanoma remains to be further refined.

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Objective: The objective of this study was to assess the impact of the total saponins of Panax japonicus (TSPJ) on Type 2 diabetes mellitus (T2DM).

Results: The intervention of TSPJ was found to have the ability to reverse physiological indicators associated with T2DM, while also enhancing the expression of genes involved in glucose metabolism and intestinal homeostasis. Additionally, alterations in the composition of the gut microbiota were observed.

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Type 2 diabetes mellitus (T2DM), which is distinguished by increased glucose levels in the bloodstream, is a metabolic disease with a rapidly increasing incidence worldwide. Nevertheless, the etiology and characteristics of the mechanism of T2DM remain unclear. Recently, abundant evidence has indicated that the intestinal microbiota is crucially involved in the initiation and progression of T2DM.

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Background: Diabetic foot ulcer (DFU) is one of the common and severe complications in diabetic patients, mainly caused by the interaction of various factors such as peripheral neuropathy, peripheral vascular disease, and infection. Moreover, vascular damage, disorder of tissue cells, decreased expression level of neurotrophic factor, and decreased growth factor caused by long-term exposure to a high glucose environment can also lead to prolonged or incomplete wound healing. This imposes a tremendous financial burden on the patients' family and society.

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Few-shot classification aims to enable the network to acquire the ability of feature extraction and label prediction for the target categories given a few numbers of labeled samples. Current few-shot classification methods focus on the pretraining stage while fine-tuning by experience or not at all. No fine-tuning or insufficient fine-tuning may get low accuracy for the given tasks, while excessive fine-tuning will lead to poor generalization for unseen samples.

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Porous aromatic frameworks (PAFs) are attractive materials for applications where high surface area and material stability govern performance. Most of the highest surface area PAFs are synthesized using poorly scalable and costly methods involving super-stoichiometric bis(1,5-cyclooctadiene)Nickel(0) (Ni(COD)). This communication describes a general approach for the synthesis of high surface area PAFs that does not use isolated Ni(COD).

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When compared with the traditional manual design method, the convolutional neural network has the advantages of strong expressive ability and it is insensitive to scale, light, and deformation, so it has become the mainstream method in the object detection field. In order to further improve the accuracy of existing object detection methods based on convolutional neural networks, this paper draws on the characteristics of the attention mechanism to model color priors. Firstly, it proposes a cognitive-driven color prior model to obtain the color prior features for the known types of target samples and the overall scene, respectively.

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Visual tracking is a basic task in many applications. However, the heavy computation and low speed of many recent trackers limit their applications in some computing power restricted scenarios. On the other hand, the simple update scheme of most correlation filter-based trackers restricts their robustness during target deformation and occlusion.

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Realizing a strong coupling between spin and resonator is an important issue for scalable quantum computation in semiconductor systems. Benefiting from the advantages of a strong spin-orbit coupling strength and long coherence time, the Ge hut wire, which is proposed to be site-controlled grown for scalability, is considered to be a promising candidate to achieve this goal. Here we present a hybrid architecture in which an on-chip superconducting microwave resonator is coupled to the holes in a Ge quantum dot.

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Article Synopsis
  • Carbon nanotubes (CNTs) are highly regarded for nanomechanical devices due to their impressive qualities like high resonant frequencies and low mass.
  • This study demonstrates the first experimental instance of parametric strong coupling between two mechanical modes in a CNT nanomechanical resonator using a microwave pump.
  • The coupling strength between these modes can be adjusted by varying the pump power, which may enhance phonon manipulation capabilities in CNTs.
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We use an on-chip superconducting resonator as a sensitive meter to probe the properties of graphene double quantum dots at microwave frequencies. Specifically, we investigate the charge dephasing rates in a circuit quantum electrodynamics architecture. The dephasing rates strongly depend on the number of charges in the dots, and the variation has a period of four charges, over an extended range of charge numbers.

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We fabricated a hybrid device with two distant graphene double quantum dots (DQDs) and a microwave resonator. A nonlinear response is observed in the resonator reflection amplitude when the two DQDs are jointly tuned to the vicinity of the degeneracy points. This observation can be well fitted by the Tavis-Cummings (T-C) model which describes two two-level systems coupling with one photonic field.

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We report a technique that can noninvasively add multiple DC wires into a 3D superconducting microwave cavity for electronic devices that require DC electrical terminals. We studied the influence of our DC lines on the cavity performance systematically. We found that the quality factor of the cavity is reduced if any of the components of the electrical wires cross the cavity equipotential planes.

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