Publications by authors named "Jie Liao"

Interspecific lipidological variations in seahorse (Hippocampus), as a functional food resource, profoundly influences its bioefficacy. This study employed untargeted and targeted lipidomics to comprehensively analyse and identify previously uncharacterized lipids in four commercial seahorses. A total of 41 lipid subclasses were discerned, encompassing 1114 and 1219 distinct lipid molecular species in positive and negative ion modes, respectively.

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Recent progress in Graph Convolutional Networks (GCNs) has facilitated their extensive application in recommendation, yielding notable performance gains. Nevertheless, existing GCN-based recommendation approaches are confronted with several challenges: (1) how to effectively leverage multi-order graph connectivity to derive meaningful node embeddings; (2) faced with sparse raw data, how to augment supervision signals without relying on auxiliary information; (3) given that GCNs necessitate the aggregation of neighborhood nodes, and the sparsity of these nodes can exacerbate the impact of noise data, how to mitigate the noise problem inherent in the raw data. For tackling aforementioned challenges, we devise a new hybrid propagation GCN-based method named S3HGN, incorporating a simplified self-supervised learning paradigm for recommendation.

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Whispering-gallery-mode (WGM) microresonators are typically studied for surface (bio)chemical sensing, mainly relying on small refractive index changes occurring within a nanometer range from their walls surface. This high sensitivity, reaching up to 10 refractive index unit (RIU, ∼2.5 nm/RIU and measured at a femtometer resolution) leads to broad ranges of applications, especially for biosensing purposes through the monitoring of molecular binding events.

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A novel approach for the synthesis of pyrone and indanone derivatives utilizing Fe(III)-catalyzed reductive radical ring expansion of olefins and cyclopropenone has been proposed. The preliminary mechanism study shows that the alkyl radical is formed by hydrogen atom transfer, which can open the tension ring and then generate the intermediate. There are two paths for the intermediate: when there is a hydroxyl group at the β-position of the olefin, the reaction produces pyrones, and otherwise 1-indanone is generated.

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The utilization of ground-breaking large language models (LLMs) accompanied with dialogue system has been progressively prevalent in the medical domain. Nevertheless, the expertise of LLMs in Traditional Chinese Medicine (TCM) remains restricted despite several TCM LLMs proposed recently. Herein, we introduced TCMChat (https://xomics.

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In this paper, a dual-resonances mid-infrared all-dielectric metasurface sensor based on asymmetric cross dimer, which is driven by quasi-bound states in the continuum (QBIC), is proposed and investigated. The metasurface sensor maintains the total permittivity constant when the asymmetric parameter is adjusted, thereby ensuring the stability of the QBIC resonance wavelengths, which exhibit Q-factors of 6351 and 13561, respectively. The multiple decompositions and electromagnetic field distributions reveal that the toroidal dipole is the dominant component of the dual-resonance modes.

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The CMA-ChemRA (China Regional Weakly Coupled Chemical-Weather Reanalysis System) was developped using China's first-generation global atmospheric reanalysis product (CRA-40) as initial fields and boundary conditions, coupled with the WRF-Chem atmospheric chemical model and the WRFDA/3DVar assimilation system. By constructing a joint background error covariance matrix, CMA-ChemRA achieves weak coupling between atmospheric chemistry and meteorological variables, enabling simultaneous assimilation of diverse data sources, including hourly observations from ground stations, wind profilers, upper-air soundings, aircraft reports, and atmospheric composition measurements. To extend the dataset to periods before 2013 when China lacked PM observations, the system incorporates a reconstructed PM dataset derived by AI from visibility inversion alongside various emission inventories.

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Objective: To review the application of cell derived decellularized extracellular matrix (CDM) in tissue engineering.

Methods: The literature related to the application of CDM in tissue engineering was extensively reviewed and analyzed.

Results: CDM is a mixture of cells and their secretory products obtained by culturing cells for a period of time, and then the mixture is treated by decellularization.

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Sucrose, a common sugar primarily derived from sugarcane, is a crucial national strategic resource. However, its yield is significantly affected by various serious diseases, with pokkah boeng disease being one of the most damaging. Therefore, developing a sensitive method for the accurate detection of the pokkah boeng disease pathogen is crucial for ensuring the safety of sugar.

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Background: While dermatitis management is primarily symptomatic, the role of diet in symptom exacerbation and improvement is increasingly recognized. The dietary inflammatory index (DII), a quantitative assessment tool for dietary inflammatory potential, has been associated with various chronic diseases but remains understudied in dermatitis. This cohort study investigated the association between DII scores and all-cause mortality among patients with dermatitis.

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Article Synopsis
  • - Sugarcane is vital for the economy, but pokkah boeng disease threatens its production, highlighting the urgent need for effective detection methods
  • - A new biosensing platform has been developed that uses advanced materials (AuNPs/MnO nanozymes and N-GDY) to sensitively detect the pathogenic bacteria causing pokkah boeng disease
  • - This platform achieves impressive results, providing a linear detection range from 0.0001 to 10,000 pM and a detection limit of 32.5 aM, significantly enhancing sensitivity for real-time monitoring of the disease
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  • Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is used to identify natural products, but the complex structures of these products make data analysis challenging.
  • A new algorithm called MassKG has been developed, which utilizes a combination of knowledge-based fragmentation and deep learning to streamline the identification of natural product structures.
  • MassKG has already compiled a vast database of known natural products and generated new potential compounds, showing superior performance in data annotation and is available online with features that improve usability for researchers.
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The accumulation of heavy metal(loid)s (HMs) in soil-grown mushrooms poses potential health risks. Morchella sextelata (black morel) is a typical soil-grown mushroom with a rapidly expanding cultivation area. This study investigated the distribution of arsenic, cadmium, chromium, copper, mercury, nickel, lead, and zinc in 213 pairs of soil and morel samples collected from 29 provincial administrative regions in China, together with the nutritional contents in the morel samples.

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Article Synopsis
  • This work is about understanding how groups of living things, like animals or people, work together and learn from each other.
  • The authors want to create new math and ideas to help explain "swarm intelligence," which is how these groups make decisions.
  • They also talk about how to use this information to improve artificial intelligence, making machines smarter by learning from groups and their environment.
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Apoptosis, inflammation, and wound healing are critical pathophysiological events associated with various liver diseases. Currently, there is a lack of in vivo approaches to study hepatocyte apoptosis-induced liver injury and repair. To address this critical knowledge gap, we developed a unique genetically modified mouse model, namely, 3-Transgene (Tg) with inducible Hepatocyte-Specific Apoptosis Phenotype (3xTg-iHAP) in this study.

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  • The detection of mid-infrared light is important for both civil and military applications, with two-dimensional topological semimetals showing promise for this task.
  • A new mid-infrared photodetector using silicon waveguides integrated with platinum telluride (PtTe) and improved with a PtTe-graphene heterostructure has been developed, demonstrating high performance metrics.
  • The PtTe-graphene photodetector achieved a responsivity of 5.5 A/W and a 3 dB bandwidth of 35 MHz, along with an impressive external quantum efficiency of 119% under specific conditions.
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The present study investigates the efficacy of newly developed Zr-based metal-organic frameworks, specifically MIP-206, and its amine-modified counterpart, MIP-206-NH, for the re-covery of antimony (Sb) from both synthetic and actual mining wastewater. Batch method studies were employed to examine the effect of waste media pH, Sb concentration, process kinetics, and the performance of the regeneration solution. MIP-206-NH exhibited impressive separation capabilities, achieving 102.

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Polypropylene (PP) mesh is commonly used in abdominal wall repair due to its ability to reduce the risk of organ damage, infections and other complications. However, the PP mesh often leads to adhesion formation and does not promote functional tissue repair. In this study, we synthesized one kind of aldehyde polysaccharide (BSPA) modified chitosan (CS) hydrogel based on Schiff base reaction.

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Electrochemical batteries - essential to vehicle electrification and renewable energy storage - have ever-present reaction interfaces that require compromise among power, energy, lifetime, and safety. Here we report a chip-in-cell battery by integrating an ultrathin foil heater and a microswitch into the layer-by-layer architecture of a battery cell to harness intracell actuation and mutual thermal management between the heat-generating switch and heat-absorbing battery materials. The result is a two-terminal, drop-in ready battery with no bulky heat sinks or heavy wiring needed for an external high-power switch.

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  • A major challenge in spatially resolved transcriptomics (SRT) is the evaluation of computational methods, often hampered by biases in simulated data.
  • The paper introduces scCube, a Python package designed to create independent and varied simulations of SRT data while preserving spatial expression patterns of genes.
  • The effectiveness of scCube is validated against existing simulators and shown to be useful in benchmarking techniques for spot deconvolution, gene imputation, and resolution enhancement through three detailed applications.
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Center Pivot Irrigation system (CPIs) is widely used in newly exploited arable land in sandy lands. These sandy lands are currently stable because of climate change and ecological restoration efforts since the beginning of the 21st century in northern China. The exploitation of these fixed sandy lands to arable land with CPIs may affect the soil wind erosion, yet it remains unknown.

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The development of an advanced dye adsorbent that possesses a range of beneficial characteristics, such as high adsorption capacity, swift adsorption kinetics, selective adsorption capability, and robust reusability, remains a challenge. This study introduces a facile method for fabricating an amine-rich porous adsorbent (ARPA), which is specifically engineered for the adsorptive removal of anionic dyes from aqueous solutions. Through a comprehensive assessment, we have evaluated the adsorption performance of ARPA using two benchmark dyes: amaranth (ART) and tartrazine (TTZ).

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Regioselective methods to access alkylated tetrazoles still remain a challenging goal. Herein, we describe a novel regioselective protocol for N-arylation of tetrazoles with diazo compounds using inexpensive Al(OTf). This reaction could be conducted under mild conditions to access a diverse array of alkylated tetrazoles with 2-substituted tetrazoles as the major products, demonstrating a comprehensive range of substrate compatibility and excellent functional group compatibility.

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  • Understanding the carbon and water vapor dynamics in arid inland river basin ecosystems is crucial for assessing their carbon-water budget, especially in the context of climate change.
  • The study employed the eddy covariance technique across different ecosystems in Northwestern China and found that all ecosystems functioned as carbon sinks, with varying rates of carbon sequestration.
  • Factors like air and soil temperatures, alongside vapor pressure deficit, significantly influenced the ecosystems' productivity and water vapor fluxes, leading to unique responses and adaptations to arid conditions.
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Nandrolone (NT) is a type of androgen anabolic steroid that is often illegally used in cattle farming, leading to unpredictable harm to human health via the food chain. In this study, a rapid detection method for NT in the samples of cattle farming was established using a portable mass spectrometer. The instrument parameters were optimized, including a thermal desorption temperature of 220 °C, a pump speed of 30 %, an APCI ionization voltage of 3900 v, and an injection volume of 6 μL.

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