Publications by authors named "Weihan Li"

The Warburg effect, also known as aerobic glycolysis, plays a crucial role in the onset and progression of colorectal cancer (CRC), although its mechanism remains unclear. In this study, bioinformatics analysis of public databases combined with validation using clinical specimens identified the transcription factor ONECUT3 as a key regulator related to the Warburg effect in CRC. Functionally, silencing ONECUT3 reverses the Warburg effect and suppresses tumor growth.

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The assessment of surgical skill is crucial for indicating a surgeon's proficiency. While motion analysis of surgical tools is widely used in endoscopic surgery, it is not commonly applied to open surgery. Instead, open surgery skill assessment relies on observing the trajectory of surgical tools on tissue.

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Background: The colon and rectum are highly innervated, with neural components within the tumor microenvironment playing a significant role in colorectal cancer (CRC) progression. While perineural invasion (PNI) is associated with poor prognosis in CRC, the impact of nerve density and diameter on tumor behavior remains unclear. This study aims to evaluate the prognostic value of nerve characteristics in CRC and to verify the impact of nerves on tumor growth.

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With the rise of AI platforms, patients increasingly use them for information, relying on advanced language models like ChatGPT for answers and advice. However, the effectiveness of ChatGPT in educating thyroid cancer patients remains unclear. We designed 50 questions covering key areas of thyroid cancer management and generated corresponding responses under four different prompt strategies.

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Black phosphorus quantum dots (BPQDs) have shown promising applications in biosensors and energy storage devices. However, the electrochemiluminescence (ECL) properties of pristine BPQDs in an organic system have rarely been reported. In this paper, ,'-dimethylformamide passivated BPQDs with a small size of 2.

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The advancement of all-solid-state lithium metal batteries requires breakthroughs in solid-state electrolytes (SSEs) for the suppression of lithium dendrite growth at high current densities and high capacities (>3 mAh cm) and innovation of SSEs in terms of crystal structure, ionic conductivity and rigidness. Here we report a superionic conducting, highly lithium-compatible and air-stable vacancy-rich β-LiN SSE. This vacancy-rich β-LiN SSE shows a high ionic conductivity of 2.

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Solid-state electrolytes (SSEs) play a vital role in the development of high-energy all-solid-state batteries. However, most adopted mechanical ball milling and/or high-temperature annealing are ineffective approaches for large-scale synthesis. Herein, a universal and scalable hydrate-assisted strategy for the synthesis of oxychloride SSEs is developed based on the chemical reaction among alkali chlorides, AlCl, and AlCl·6HO.

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Studying the complex interactions between different brain regions is crucial in neuroscience. Various statistical methods have explored the latent communication across multiple brain regions. Two main categories are the Gaussian Process (GP) and Linear Dynamical System (LDS), each with unique strengths.

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Article Synopsis
  • LiCl is being explored as a solid electrolyte due to its potential for high ionic conductivity, but it faces challenges with structural changes during aliovalent doping that affect its effectiveness and cost.
  • Researchers have developed nanocrystalline LiCl embedded in amorphous AlOCl, which enhances ionic conductivity, resulting in a significant increase to 1.02 mS/cm—five times better than standard LiCl.
  • The new material, AlOCl-nanoLiCl, is cost-effective, stable under oxidative conditions, and shows impressive performance when used in all-solid-state batteries, maintaining stability over more than 1000 cycles when combined with Li-rich cathodes.
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Aims: Pericytes in the brain play important roles for microvascular physiology and pathology and are affected in neurological disorders and neurodegenerative diseases. Mouse models are often utilized for pathophysiology studies of the role of pericytes in disease; however, the translatability is unclear as brain pericytes from mouse and human have not been systematically compared. In this study, we investigate the similarities and differences of brain pericyte gene expression between mouse and human.

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  • This study addresses how to non-destructively analyze the degradation mechanisms of lithium-ion batteries (LIBs) using a method called distribution of relaxation times (DRT).
  • It introduces a new analytical framework to improve the resolution of timescales and reduce uncertainties by focusing on interfacial impedance and multi-dimensional DRT analysis.
  • Results indicate that the new approach enhances detection accuracy of battery performance by approximately 20%, particularly at low state of charge and high temperatures, revealing critical differences in how various battery components impact performance.
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  • Sodium superionic conductors are important for improving the energy density and safety of Na-ion batteries, but most are based on single-anion frameworks, which have their pros and cons.
  • This research introduces a new class of amorphous Na-ion conductors using a dual-anion framework (NaO-MCl, where M = Hf, Zr, Ta) that shows remarkable properties like high ionic conductivity, stability, and mechanical strength.
  • All-solid-state Na-ion batteries with the new NaO-HfCl electrolyte and NaMnNiFeO cathode demonstrate excellent performance, maintaining 78% capacity after 700 cycles, suggesting a shift in focus toward more advanced superionic conductor designs.
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Improving battery health and safety motivates the synergy of a powerful duo: physics and machine learning. Through seamless integration of these disciplines, the efficacy of mathematical battery models can be significantly enhanced. This paper delves into the challenges and potentials of managing battery health and safety, highlighting the transformative impact of integrating physics and machine learning to address those challenges.

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  • Programmable metasurfaces can dynamically control electromagnetic waves and create various EM beams with tailored digital coding patterns.
  • Traditional methods for optimizing these coding patterns are slow and complicated, often relying on nonlinear optimization algorithms.
  • This study introduces a fast, physics-assisted deep learning model that quickly computes coding patterns, showing effective performance in experimental tests for both single and dual-beam setups.
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Studying the complex interactions between different brain regions is crucial in neuroscience. Various statistical methods have explored the latent communication across multiple brain regions. Two main categories are the Gaussian Process (GP) and Linear Dynamical System (LDS), each with unique strengths.

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Exosomes generated from mesenchymal stem cells (MSCs) are thought to be a unique therapeutic strategy for several autoimmune deficiency illnesses. The purpose of this study was to elucidate the protective effects of human umbilical cord mesenchymal stem cell-derived exosomes (hUCMSC-Exo) on CD4 T cells dysfunction during graft-versus-host disease (GVHD) and to identify the underlying processes involved. Here, we showed that hUCMSC-Exo treatment can effectively attenuate GVHD injury by alleviating redox metabolism disorders and inflammatory cytokine bursts in CD4 T cells.

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The evolution of inorganic solid electrolytes has revolutionized the field of sustainable organic cathode materials, particularly by addressing the dissolution problems in traditional liquid electrolytes. However, current sulfide-based all-solid-state lithium-organic batteries still face challenges such as high working temperatures, high costs, and low voltages. Here, we design an all-solid-state lithium battery based on a cost-effective organic cathode material phenanthrenequinone (PQ) and a halide solid electrolyte LiZrCl.

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Stress-induced condensation of mRNA and proteins into stress granules is conserved across eukaryotes, yet the function, formation mechanisms, and relation to well-studied conserved transcriptional responses remain largely unresolved. Stress-induced exposure of ribosome-free mRNA following translational shutoff is thought to cause condensation by allowing new multivalent RNA-dependent interactions, with RNA length and associated interaction capacity driving increased condensation. Here we show that, in striking contrast, virtually all mRNA species condense in response to multiple unrelated stresses in budding yeast, length plays a minor role, and instead, stress-induced transcripts are preferentially excluded from condensates, enabling their selective translation.

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The aim of this study was to obtain quantitative data on elbow joint ROM in elite freestyle swimmers with EP in China. Of the 50 elite freestyle swimmers recruited, 41 completed all measurements during dry-land swimming stroke simulations. Elbow joint angle, velocity, and acceleration were measured using inertial measurement units.

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Purpose: Triple-negative breast cancer (TNBC) features high aggressiveness, metastasis rate, drug resistance as well as poor prognosis. Osteopontin (OPN) is a key protein in the process of osteogenesis and has emerged as a new tumor marker in recent years.

Methods: Cell viability was tested with the CCK-8 kit.

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Claudin-5 (CLDN5) is an endothelial tight junction protein essential for blood-brain barrier (BBB) formation. Abnormal CLDN5 expression is common in brain disease, and knockdown of Cldn5 at the BBB has been proposed to facilitate drug delivery to the brain. To study the consequences of CLDN5 loss in the mature brain, we induced mosaic endothelial-specific Cldn5 gene ablation in adult mice (Cldn5).

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Glassy Na-ion solid-state electrolytes (GNSSEs) are an important group of amorphous SSEs. However, the insufficient ionic conductivity of state-of-the-art GNSSEs at room temperature lessens their promise in the development of all-solid-state Na-ion batteries (ASSNIBs) with high energy density and improved safety. Here we report the discovery of a new sodium superionic glass, 0.

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All-solid-state lithium metal batteries can address crucial challenges regarding insufficient battery cycling life and energy density. The demonstration of long-cycling dendrite-free all-solid-state lithium metal batteries requires precise tailoring of lithium-ion transport of solid-state electrolytes (SSEs). In this work, a proof of concept is reported for precise tailoring of lithium-ion transport of a halide SSE, LiInCl, including intragranular (within grains) but also intergranular (between grains) lithium-ion transport.

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