Publications by authors named "Tongyu Wu"

Precise control of the morphology of self-assembling drugs is critical for optimizing their pharmacokinetics and therapeutic efficacy. However, adapting a single drug for diverse therapeutic applications by tailoring its structure remains a central challenge. Here, we report a hydrogen-bond-guided strategy to program the morphology of a paclitaxel derivative, PTP, by introducing a phosphate group to promote supramolecular organization.

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DNA transactions introduce torsional constraints that pose an inherent risk to genome integrity. While topoisomerase 1 (TOP1) activity is essential for DNA supercoil removal, the aberrant stabilization of TOP1:DNA cleavage complexes (TOP1ccs) can result in cytotoxic DNA lesions. What protects genomic hot spots of topological stress from excessive TOP1cc accumulation remains unknown.

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The coupling coordinated development between digital economy and green logistics is of great significance in promoting the integration of Digital China and Beautiful China and realizing the goal of "Double Carbon." For the purpose of clarifying the mechanism of coupling coordinated development between the digital economy and green logistics, this study applied the vertical and horizontal scatter degree method, modified coupling coordination degree model, cold-hot spot analysis, and dynamic aggregated fuzzy set qualitative comparative analysis (fsQCA) method to reveal the spatiotemporal characteristics and configuration paths of the coupling coordinated development between China's digital economy and green logistics during the period from 2013 to 2021. The findings showed that: ① In terms of temporal change, the development level of China's digital economy and green logistics fluctuated in an upward trend.

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The Agrobacterium tumefaciens mediated transformation is the prevailing methodology for plant genetic manipulation; however, A. tumefaciens overgrowth is a common constraint in the process. Exploring auxotrophic A.

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Phenolic allelochemicals from root exudates dominate rhizosphere formation, lead to autotoxicity in plants subjected to continuous monoculture (CM) stress and induce the emergence of replant disease. However, the regulatory mechanisms governing the transport of phenolics from plant roots to the rhizosphere remain poorly understood. A potential phenolic efflux transporter from , designated RgMATE35, has been preliminarily characterized.

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DNA transactions introduce torsional constraints that pose an inherent risk to genome integrity. While topoisomerase 1 (TOP1) activity is essential for removing DNA supercoiling, aberrant stabilization of TOP1:DNA cleavage complexes (TOP1ccs) can result in cytotoxic DNA lesions. What protects genomic hot spots of topological stress from aberrant TOP1 activity remains unknown.

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Ice accumulation under static electric fields presents a significant hazard to transmission lines and power grids. Contemporary computational studies of electrofreezing predominantly probed excessive electric fields (109 V/m) that are significantly higher than those typically encountered in proximity to transmission lines. To elucidate the influence of realistic electric fields (105 V/m) on ice crystallization, we run extensive molecular dynamics (MD) simulations across dual ice-water coexistence systems.

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Mild photothermal therapy (PTT) shows the potential for chemosensitization by tumor-localized P-glycoprotein (P-gp) modulation. However, conventional mild PTT struggles with real-time uniform temperature control, obscuring the temperature-performance relationship and resulting in thermal damage. Besides, the time-performance relationship and the underlying mechanism of mild PTT-mediated P-gp reversal remains elusive.

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This paper proposes a transformer fault diagnosis method based on ACGAN and CGWO-LSSVM to address the problem of misjudgment and low diagnostic accuracy caused by the small number and uneven distribution of some fault samples in transformer fault diagnosis. Firstly, generate adversarial networks through auxiliary classification conditions, The ACGAN method expands a small and imbalanced number of samples to obtain balanced and expanded data; Secondly, the non coding ratio method is used to construct the characteristics of dissolved gases in oil, and kernel principal component analysis is used, KPCA method for feature fusion; Finally, using the improved cubic gray wolf optimization algorithm, CGWO for least square support vector machines, optimize the parameters of the LSSVM model and construct a transformer fault diagnosis model. The results show that the proposed method has a low false alarm rate and a diagnostic accuracy of 97.

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Immunosuppressive microenvironment and poor immunogenicity are two stumbling blocks in anti-tumor immune activation. Tumor associated macrophages (TAMs) play crucial roles in immunosuppressive microenvironment, while immunogenic cell death (ICD) is a typical strategy to boost immunogenicity. Herein, we developed a coordinative modular assembly-based self-reinforced nanoparticle, (CaO/TA)-(Fe/BSA) which integrated CaO, Fe-tannic acid coordinated networks and albumin under the instruction of molecular dynamics simulation.

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As the cornerstone of transmission and distribution equipment, power transformer plays a very important role in ensuring the safe operation of power system. At present, the technology of dissolved gas analysis (DGA) has been widely used in fault diagnosis of oil-immersed transformer. However, in the actual scene, the limited number of transformer fault samples and the uneven distribution of different fault types often lead to low overall fault detection accuracy or a few types of fault misjudgment.

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Capacitive deionization in environmental decontamination has been widely studied and now requires intensive development to support large-scale deployment. Porous nanomaterials have been demonstrated to play pivotal roles in determining decontamination efficiency and manipulating nanomaterials to form functional architecture has been one of the most exciting challenges. Such nanostructure engineering and environmental applications highlight the importance of observing, recording, and studying basically electrical-assisted charge/ion/particle adsorption and assembly behaviors localized at charged interfaces.

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Aims: Diabetes mellitus (DM) has become a global problem, causing a huge economic burden. The purpose of this study is to find a new potential method and mechanism for the treatment of DM.

Main Methods: The oxidation, glycation and insulin resistance cell models were built to screen the potential anti-diabetic chemicals.

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Globally, diabetes mellitus has been a major epidemic bringing metabolic and endocrine disorders. Currently, 1 in 11 adults suffers from diabetes mellitus, among the patients >90% contract type 2 diabetes mellitus (T2DM). Therefore, it is urgent to develop new drugs that effectively prevent and treat type 2 diabetes through new targets.

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Obesity, a global epidemic chronic metabolic disease, urgently demands novel therapies. As an antimalarial drug, quinacrine has not been reported for its anti-obesity effect to our knowledge. This study aimed to explore the ability of quinacrine to attenuate obesity.

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Background: The global prevalence of type 2 diabetes mellitus (T2DM) raises the rates of its complications, such as diabetic nephropathy and cardiovascular diseases. To conquer the complications, new strategies to reverse the deterioration of T2DM are urgently needed. In this project, we aimed to examine the hypoglycemic effect of primaquine and explore its specific target.

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Acute ethanol intoxication has become an alarming health problem. In the present study, we discover the beneficial effect of lamivudine on alcoholism in mice. Our results indicate that lamivudine decreases serum alcohol concentration dramatically, and potently activates acetaldehyde dehydrogenase (ALDH) to accelerate the conversion of acetaldehyde to acetic acid, which is finally metabolized by tricarboxylic acid cycle to be CO and HO.

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Aims: Diabetes mellitus (DM) is a major global health threat characterized by insulin resistance. A new tactic to ameliorate insulin resistance, thereby reversing the exacerbation of DM, is urgently needed. The work is aiming to provide a new strategy for DM treatment as well as to identify new targets.

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Successful spoken-word recognition relies on interplay between lexical and sublexical processing. Previous research demonstrated that listeners readily shift between more lexically-biased and more sublexically-biased modes of processing in response to the situational context in which language comprehension takes place. Recognizing words in the presence of background noise reduces the perceptual evidence for the speech signal and - compared to the clear - results in greater uncertainty.

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Stroke is the second leading cause of death worldwide and the leading cause of long-term disability that seriously endangers health and quality of human life. Tissue-type fibrinogen activator is currently the only drug approved by FDA for the treatment of ischemic stroke. Neuroprotection is theoretically a common strategy for the treatment of both ischemic and hemorrhagic stroke; therefore, the development of neuroprotective agent has been the focus of research.

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Gastrointestinal disease is the most common health concern that occurs due to environmental, infectious, immunological, psychological, and genetic stress. Among them, the most frequent diseases are gastric ulcer (GU) and ulcerative colitis (UC). DSS-induced UC and ethanol-stimulated GU models resemble the pathophysiology of human gastrointestinal disease.

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Microstructures play a dominant role in flexible electronics to improve the performance of the devices, including sensitivity, durability, stretchability, and so on. However, the complicated and expensive fabrication process of these microstructures extremely hampers the large-scale application of high-performance devices. Herein, we propose a novel method to fabricate flexible graphene-based sensors with a 3D microstructure by generating laser-induced graphene (LIG) on the 3D printed polyether ether ketone corrugated substrate, which is referred to as CLIG.

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Background: Disinfectant products are often used on environmental surfaces (e.g. countertops, patient beds) and patient care equipment in healthcare facilities to help prevent the transmission of healthcare-associated infections.

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Article Synopsis
  • * Experimental results showed that sensor sensitivity increased with temperature, ranging from 28.2 mV/pCl at 10 °C to a peak of 54.1 mV/pCl at 40 °C, before slightly declining at 50 °C.
  • * Drift effects for the sensor decreased with increasing temperature, recorded between 8.2 mV/h at 10 °C and 2.5 mV/h at 50 °C in a 1 M NaCl solution.
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