Publications by authors named "WenYu Luo"

Article Synopsis
  • Ammonia and urea are crucial chemicals for human development, but their traditional production involves harsh conditions, high energy use, and greenhouse gas emissions.
  • Electrocatalytic synthesis of these chemicals under ambient conditions is gaining interest, particularly using atomic catalysts (ACs) which are more efficient than micro and nano catalysts.
  • The review highlights single-atom catalysts (SACs) and diatom catalysts (DACs), noting their unique benefits for efficiently producing ammonia and urea, along with suggested directions for future research in this area.
View Article and Find Full Text PDF
Article Synopsis
  • - The electroreduction of nitrate to ammonia is a promising green alternative to the traditional Haber-Bosch method, but achieving high selectivity and complete conversion remains challenging.
  • - Researchers developed adjustable CuO@CoO yolk-shell nanocubes that enhance the conversion of nitrate (NO-N) to ammonia (NH-N) efficiently with over 99% Faradaic efficiency and good stability.
  • - This system demonstrated impressive results in various concentrations of nitrate electrolytes, achieving more than 99.8% efficiency at low cell voltages (1.9-2.3 V).
View Article and Find Full Text PDF
Article Synopsis
  • * Research using mouse models and advanced techniques like single-cell RNA sequencing revealed that increased communication between astrocytes and neurons involves TNF and inflammation-related pathways.
  • * Experiments showed that treating astrocytes with α-syn leads to increased cytokines and changes in neuronal structure, but blocking TNFR1 receptors in neurons can restore their synaptic structure and reduce detrimental protein expressions.
View Article and Find Full Text PDF

Electrocatalytic nitrate (NO) reduction reaction (eNORR) to ammonia under ambient conditions is deemed a sustainable route for wastewater treatment and a promising alternative to the Haber-Bosch process. However, there is still a lack of efficient electrocatalysts to achieve high NH production performance at wastewater-relevant low NO concentrations. Herein, we report a PdRu bimetallic nanocrystal (NC) electrocatalyst capable of exhibiting an average NH FE of ∼100% over a wide potential window from 0.

View Article and Find Full Text PDF

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal solid tumors. The tumor immune microenvironment (TIME) formed by interactions among cancer cells, immune cells, cancer-associated fibroblasts (CAF), and extracellular matrix (ECM) components drives PDAC in a more immunosuppressive direction: this is a major cause of therapy resistance and poor prognosis. In recent years, research has advanced our understanding of the signaling mechanism by which TIME components interact with the tumor and the evolution of immunophenotyping.

View Article and Find Full Text PDF
Article Synopsis
  • Methamphetamine (METH) is a highly addictive stimulant linked to a significant number of substance abuse-related deaths and poses risks for neurodegenerative diseases like Parkinson's disease.
  • This study investigated how overactivation of reactive astrocytes contributes to neurodegeneration after METH exposure by analyzing various RNA sequencing datasets and conducting cognitive function tests in mice.
  • Key findings included the identification of differentially expressed genes related to neurodegeneration and inflammation, with increased immune cell infiltration in METH-exposed subjects, pointing to potential targets for understanding and addressing METH-induced neurodegeneration.
View Article and Find Full Text PDF
Article Synopsis
  • The article investigates the ethical concerns associated with artificial intelligence (AI), discussing its benefits as well as negative implications on society.
  • It focuses on the medical field, but also addresses potential ethical and legal challenges in other areas like autonomous driving, finance, and security.
  • Recommendations are provided for policymakers and technology companies to enhance regulations, improve public understanding of AI, and leverage its advantages for a more equitable and sustainable society.
View Article and Find Full Text PDF

Electrocatalytic nitrate (NO)/nitrite (NO) reduction reaction (eNORR) to ammonia under ambient conditions presents a green and promising alternative to the Haber-Bosch process. Practically available NO sources, such as wastewater or plasma-enabled nitrogen oxidation reaction (p-NOR), typically have low NO concentrations. Hence, electrocatalyst engineering is important for practical eNORR to obtain both high NH Faradaic efficiency (FE) and high yield rate.

View Article and Find Full Text PDF

Constructing heterojunction of supramolecular arrays self-assembled on metal-organic frameworks (MOFs) with elaborate charge transfer mechanisms is a promising strategy for the photocatalytic oxidation of organic pollutants. Herein, H SubPcB-Br (SubPc-Br) and UiO-66 are used to obtain the step-scheme (S-scheme) heterojunction SubPc-Br/UiO-66 for the first time, which is then applied in the photocatalytic oxidation of minocycline. Atomic-level B-O-Zr charge-transfer channels and van der Waals force connections synergistically accelerated the charge transfer at the interface of the SubPc-Br/UiO-66 heterojunction, while the establishment of the B-O-Zr bonds also led to the directional transfer of charge from SubPc-Br to UiO-66.

View Article and Find Full Text PDF
Article Synopsis
  • * A deep learning-based method is proposed for estimating these channels using convolutional neural networks to detect clusters, outperforming traditional methods, especially in low signal-to-noise scenarios.
  • * The approach integrates cluster detection with compressed sensing techniques to minimize errors and improve accuracy, supported by simulation and sea trial results showing its superiority over existing methods.
View Article and Find Full Text PDF
Article Synopsis
  • An ultrasonic transducer with pure torsional output has been developed using stress waves generated by radial excitation and a radial chute design.
  • The study establishes a mechanical model to understand how radial waves interact with the chute and identifies an optimal angle for synthesizing effective circumferential waves.
  • Simulation results demonstrate that the designed transducer effectively converts radial waves into a strong circumferential wave, achieving a circumferential amplitude that is 5.22 times greater than the radial amplitude at the chute disc.
View Article and Find Full Text PDF

Matched autoproduct processing (MAP) refers to a matched field processing (MFP) style array signal processing technique for passive source localization, which interrogates frequency-difference autoproduct instead of genuine acoustic pressure. Due to frequency downshifting, MAP is less sensitive to environmental mismatch, but it suffers from low spatial resolution and a low peak-to-sidelobe ratio of ambiguity surface. These source localization metrics are herein improved with coherent approaches.

View Article and Find Full Text PDF

Estrogen, as a pleiotropic endocrine hormone, not only regulates the physiological functions of peripheral tissues but also exerts vital neuroregulatory effects in the central nervous system (CNS), such as the development of neurons and the formation of neural network connections, wherein rapid estrogen-mediated reactions positively stimulate spinogenesis and regulate synaptic plasticity and synaptic transmission to facilitate cognitive and memory performance. These fast non-genomic effects can be initiated by membrane-bound estrogen receptors (ERs), three best known of which are ERα, ERβ, and G protein-coupled estrogen receptor (GPER). To date, the effects of ERα and ERβ have been well studied in age-associated memory impairment, whereas there is still a lack of attention to the role of GPER in age-associated memory impairment, and there are still disputes about whether GPER indeed functions as an ER to enhance learning and memory.

View Article and Find Full Text PDF

Bile acids (BAs) are the major components of bile and products of cholesterol metabolism. Cholesterol is catalyzed by a variety of enzymes in the liver to form primary BAs, which are excreted into the intestine with bile, and secondary BAs are formed under the modification of the gut microbiota. Most of the BAs return to the liver via the portal vein, completing the process of enterohepatic circulation.

View Article and Find Full Text PDF

Allicin is the main active ingredient in freshly-crushed garlic and some other allium plants, and its anticancer effect on cancers of digestive system has been confirmed in many studies. The aim of this review is to summarize epidemiological studies and and investigations on the anticancer effects of allicin and its secondary metabolites, as well as their biological functions. In epidemiological studies of esophageal cancer, liver cancer, pancreatic cancer, and biliary tract cancer, the anticancer effect of garlic has been confirmed consistently.

View Article and Find Full Text PDF
Article Synopsis
  • - The gut microbiota influences liver health, and damage or inflammation in the gut can lead to harmful bacteria migrating to the liver, which may contribute to the development of hepatocellular carcinoma (HCC).
  • - The review discusses the role of gut microbiota-related substances in activating signaling pathways that can lead to HCC and highlights the changes in gut microbiota composition during cancer progression.
  • - It proposes various treatment strategies aimed at modifying the gut microbiota, such as using antibiotics, probiotics, fecal transplants, and immunotherapy, to potentially prevent and treat HCC.
View Article and Find Full Text PDF

The acoustic pressure field in many underwater environments is well described by a superposition of normal modes. The normal modes can be used for source localization and environmental inversion. However, the wavenumber resolution of traditional normal mode filtering methods for a small-aperture horizontal array is usually not sufficient to identify individual modes in a shallow water waveguide.

View Article and Find Full Text PDF

Using adaptive matched field processing (AMFP) to search for targets in shallow water is challenged by source motion. For AMFP, a relatively large number of samples is required to minimize the variance of the covariance matrix. For a fast moving target, direct integrating over a large number of data snapshots will blur the sound interference structure and, hence, degrade the ability of AMFP to produce a sharp main peak.

View Article and Find Full Text PDF
Article Synopsis
  • - Continuous ambient noise was recorded for 9 months using two underwater arrays spaced 0.5 km apart, allowing researchers to analyze sound propagation in shallow water.
  • - Empirical Green's functions (EGFs) were derived from the noise correlations and revealed three distinct wave patterns: head waves, direct waves, and surface-reflected waves.
  • - The head wave arrival time remained stable throughout different seasons, indicating that shallow heat flow affects the consistency of wave speed, as shown by corresponding simulations.
View Article and Find Full Text PDF

Measurements along two ship tracks were obtained in an experiment to investigate the properties of acoustic propagation over the continental slope in the South China Sea. The measured data show a notable difference in transmission loss about 35 dB as sound crosses different geodesic paths. Numerical simulations indicate that the range and azimuth-dependent geological properties control the level of the transmission loss and lead to this large transmission loss fluctuation.

View Article and Find Full Text PDF
Article Synopsis
  • A new method utilizing a convolutional neural network (CNN) is introduced for automatically classifying echolocation clicks from odontocete species.
  • The CNN consists of six layers, processing raw time signals from clicks and using strategies like majority vote for species prediction.
  • Evaluation on two datasets demonstrated improved classification accuracy with more clicks, indicating its potential use in passive acoustic monitoring for studying dolphin species.
View Article and Find Full Text PDF

It has been demonstrated that an estimate of an empirical Green's function (EGF) can be extracted from the ocean ambient noise cross-correlation functions, which can provide an alternative method for ocean acoustic tomography. However, the requirement for a long recording time to obtain EGFs with a high signal-to-noise ratio limits the application. This article focuses on using array signal processing to accelerate the convergence rate of EGFs between two horizontally separated arrays.

View Article and Find Full Text PDF
Article Synopsis
  • A convolutional neural network (CNN) method is developed to automatically detect echolocation clicks from odontocetes using passive acoustic recordings.
  • The CNN distinguishes between click and non-click audio clips and is transformed into a full-convolutional network for improved performance.
  • Evaluation with both synthetic and real audio data shows the method is effective across various species' echolocation clicks.
View Article and Find Full Text PDF

An analysis of the measured ocean noise during the tropical cyclone period is presented. While the observed noise is highly correlated with wind, this study reveals the dispersion of noise spectra. A wind-driven noise model within the framework of the bubble oscillation is developed.

View Article and Find Full Text PDF