Publications by authors named "Shiqiang Liu"

Diabetic nephropathy (DN) is a leading cause of end-stage renal disease (ESRD), and thus, appropriate animal models are critically needed to investigate its pathogenesis and identify new therapeutic targets. DN mouse models are important tools for studying the mechanisms of DN and exploring therapeutic strategies. Common features of the renal pathology in diabetic patients include thickening of the glomerular basement membrane, mesangial expansion, glomerulosclerosis, tubular injury, and interstitial fibrosis.

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Photoreduction of CO is often hindered by the sluggish kinetics for its activation. Refinement of host-guest interactions is an effective strategy to overcome this barrier. Here, we report the immobilization of active Co(II) sites within a covalent-organic framework (COF) with a one-dimensional (1D) chain structure, Co-PyPDA-COF, which demonstrates a remarkable CO generation rate of 30.

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Zero dimensional (0D) lead-free perovskites, particularly CsSnBr, have emerged as promising alternatives to toxic lead-based perovskites due to their distinctive broadband emission originating from self-trapped excitons (STEs). However, their practical implementation has been hindered by low photoluminescence quantum yields (PLQYs) and an insufficient understanding of the STE enhancement mechanism. In this work, we systematically investigate the role of A-site ion engineering (NH, MA, and FA) in enhancing STE emission by inducing lattice distortion in the [SnBr] octahedron.

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The electroreduction of CO to CH offers a promising avenue for advancing carbon neutrality and promoting sustainable chemical manufacturing. In acidic environments, while long-term operational stability and CO utilization efficiency are enhanced, the formation of C-C bonds is hindered due to the weak adsorption of *CO intermediates and the competing hydrogen evolution reaction (HER). Theoretical studies suggest that K cations with reduced bound water content can strengthen the adsorption of the critical *CO intermediate, and that elevated K concentrations on the Cu electrode surface significantly facilitate CO electroreduction to CH.

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Background: Our previous study revealed that circ0043898 is downregulated in esophageal cancer (EC), and its overexpression attenuates the progression of EC. The objective of this article is to explore whether circ0043898 inhibits tumor progression by inhibiting cancer stem cells (CSCs) in EC.

Methods: PCDH-circ0043898 plasmid was transfected into EC cells, and the effect of overexpression was verified by qRT-PCR.

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Multi-dimensional mechanoreceptors are crucial for both humans and robots, providing omnidirectional force/torque senses to ensure dexterous and precise manipulations. Current six-axis force/torque sensors are bulky, heavy, and rigid with complicated sensing structures and high-cost manufacture. Although flexible force sensors have emerged recently, their perceptive dimension and performance are limited and still unsatisfactory for practical applications.

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Ionomers play a vital role in the preparation of electrodes for CO electroreduction, and controlling the ionomer configuration on the catalyst surface offers an effective strategy for adjusting the surface microenvironment of the electrode, thereby influencing the distribution of CO electroreduction products. In this study, we demonstrate that Nafion, a commonly used ionomer, exhibits distinct aggregation behaviors in solvents with different dielectric constant (ε) values. These differences in aggregation result in varied Nafion arrangements on the catalyst surface, which in turn affect the binding of ∗CO and ∗H intermediates, enabling control over product distribution.

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Cancer development is influenced by genetic and epigenetic variations, with the interactions between microRNAs (miRNAs) and lysosomal membrane proteins (LMPs) representing key regulatory mechanisms with potential as therapeutic targets. This review focuses on the complex regulatory mechanisms of miRNAs and LMPs in tumor progression, specifically highlighting their roles in tumor suppression, tumor promotion, tumor therapy, and drug resistance and their future application in treatment strategies. Overall, the interactions of LMPs with miRNAs have critical roles in tumor regulation, and studies of these interactions will further highlight their molecular contributions to cancer development.

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Getah virus (GETV), a member of the , has spread widely and is expanding its host range worldwide, posing a serious threat to public health safety and the farming industry. However, genetic monitoring of GETV is inadequate, and its evolution and transmission remain unclear. This study employed reverse transcription-polymerase chain reaction to screen pig tissue samples for the presence of GETV.

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Background: The increasing occurrence of thyroid cancer (TC), particularly papillary thyroid cancer (PTC), highlights our need for better diagnostic indicators and new therapeutic targets. Aryl hydrocarbon receptor nuclear translocator-like 2 (ARNTL2) plays a crucial function in multiple tumor types. Accordingly, we investigated the oncogenic function and molecular pathways associated with ARNTL2 in PTC.

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Aims: A novel dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide 1 receptor agonist, tirzepatide (LY3298176, TZP), has been developed to treat Type 2 diabetes mellitus (T2DM). In ischaemic heart diseases, TZP is involved in cardiac metabolic processes. However, its efficacy and safety in treating heart failure (HF) following myocardial infarction (MI) remain uncertain.

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Objective: This systematic review and meta-analysis aimed to evaluate and compare the efficacy of endovascular versus open repair for the treatment of patients with descending thoracic aortic aneurysm (DTAA).

Methods: A systematic search of the PubMed, Embase, and Cochrane Library databases for relevant studies was performed. Outcome data, including postoperative mortality and morbidity, operative details, all-cause survival, freedom from aortic-related survival and freedom from aortic-related re-intervention, were independently extracted by two authors in a standardized way.

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Temperature affects both the thermodynamics of intermediate adsorption and the kinetics of elementary reactions. Despite its extensive study in thermocatalysis, temperature effect is typically overlooked in electrocatalysis. This study investigates how electrolyte temperature influences CO electroreduction over Cu catalysts.

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Modulating the surface microenvironment of electrodes stands as a pivotal aspect in enhancing the electrocatalytic performance for CO electroreduction. Herein, we propose an innovative approach by incorporating a small amount of linear oligomer, polyethylene glycol (PEG), into CuO catalysts during the preparation of the Cu electrode. The Faradaic efficiency (FE) toward multicarbon products (C) increases from 69.

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Background: Inflammation and metabolic disturbances are key culprits in the pathogenesis of obesity-associated cardiomyopathy. The NLRP3 (nucleotide-binding oligomerization domain-like receptor 3) inflammasome mediates the release of the proinflammatory cytokines IL-1β (interleukin-1β) and IL-18 by activating caspase-1, which is strongly implicated in metabolic disturbances. We here sought to determine whether NLRP3 inflammasome inhibition could ameliorate obesity cardiomyopathy and if so, to further explore its underlying mechanisms.

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Selective hydrogenolysis of biomass-derived furanic compounds is a promising approach for synthesizing aliphatic polyols by opening the furan ring. However, there remains a significant need for highly efficient catalysts that selectively target the Csp-O bond in the furan ring, as well as for a deeper understanding of the fundamental atomistic mechanisms behind these reactions. In this study, we present the use of Pt-Fe bimetallic catalysts supported on layered double hydroxides [PtFe /LDH] for the hydrogenolysis of furanic compounds into aliphatic alcohols, achieving over 90% selectivity toward diols and triols.

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Article Synopsis
  • Pathological cardiac remodeling, a process that can lead to heart failure, involves inflammation and cell death, with Matairesinol (Mat) showing promise in counteracting these effects due to its diverse pharmacological benefits.
  • The study focuses on determining if Mat can reduce cardiac hypertrophy and remodeling from pressure overload while exploring its underlying mechanisms.
  • Results indicated that Mat effectively reduced cardiac hypertrophy and fibrosis, improved heart function, and lowered cell death and oxidative damage in both in vitro and in vivo models.
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Tuning the selectivity of CO electroreduction reaction (CORR) solely by changing electrolyte is a very attractive topic. In this study, we conducted CORR in different aqueous electrolytes over bulk metal electrodes. It was discovered that controlled CORR could be achieved by modulating cations in the electrochemical double layer.

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Lip language recognition urgently needs wearable and easy-to-use interfaces for interference-free and high-fidelity lip-reading acquisition and to develop accompanying data-efficient decoder-modeling methods. Existing solutions suffer from unreliable lip reading, are data hungry, and exhibit poor generalization. Here, we propose a wearable lip language decoding technology that enables interference-free and high-fidelity acquisition of lip movements and data-efficient recognition of fluent lip language based on wearable motion capture and continuous lip speech movement reconstruction.

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The timely degradation of tapetum, the innermost somatic anther cell layer in flowering plants, is critical for pollen development. Although several genes involved in tapetum development have been characterized, the molecular mechanisms underlying tapetum degeneration remain elusive. Here, we showed that mutation in Abnormal Degraded Tapetum 1 (ADT1) resulted in overaccumulation of Reactive Oxygen Species (ROS) and abnormal anther development, causing earlier tapetum Programmed Cell Death (PCD) and pollen abortion.

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Cu-based catalysts are optimal for the electroreduction of CO to generate hydrocarbon products. However, controlling product distribution remains a challenging topic. The theoretical investigations have revealed that the coordination number (CN) of Cu considerably influences the adsorption energy of *CO intermediates, thereby affecting the reaction pathway.

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Artificial intelligence has surged forward with the advent of generative models, which rely heavily on stochastic computing architectures enhanced by true random number generators with adjustable sampling probabilities. In this study, we develop spin-orbit torque magnetic tunnel junctions (SOT-MTJs), investigating their sigmoid-style switching probability as a function of the driving voltage. This feature proves to be ideally suited for stochastic computing algorithms such as the restricted Boltzmann machines (RBM) prevalent in pretraining processes.

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The incorporation of randomness into stochastic computing can provide ample opportunities for applications such as simulated annealing, non-polynomial hard problem solving, and Bayesian neuron networks. In these cases, a considerable number of random numbers with an accurate and configurable probability distribution function (PDF) are indispensable. Preferably, these random numbers are provided at the hardware level to improve speed, efficiency, and parallelism.

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Multimodal medical image fusion (MMIF) technology plays a crucial role in medical diagnosis and treatment by integrating different images to obtain fusion images with comprehensive information. Deep learning-based fusion methods have demonstrated superior performance, but some of them still encounter challenges such as imbalanced retention of color and texture information and low fusion efficiency. To alleviate the above issues, this paper presents a real-time MMIF method, called a lightweight residual fusion network.

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