Social Distance and Information Avoidance in Public Security Events: A Dual Involvement Perspective

With the large spread of information thanks to ICT, public security events are increasingly focused on by the public. But meanwhile, the phenomenon of people’s information avoidance in these events still exists and even becomes more prominent. However, existing studies on information avoidance have ignored such an important context (i.e., public security event) and the influence of people’s perceptions of social relationship. To fill the gaps, we develop a model to explore the influence of social distance on information avoidance through two opposite mechanisms from a dual involvement perspective, perceived relevance and negative affect, in the context of public security events. We also consider self-efficacy’s moderating role to identify the boundary conditions. A scenario-based survey with college students was conducted to test the proposed research model. Finally, theoretical contributions and practical implications are discussed

The role of potassium ion channels in chronic sinusitis

Chronic sinusitis is a common inflammatory disease of the nasal and sinus mucosa, leading to symptoms such as nasal congestion, runny nose, decreased sense of smell, and headache. It often recurs and seriously affects the quality of life of patients. However, its pathological and physiological mechanisms are not fully understood. In recent years, the role of potassium ion channels in the regulation of mucosal barrier function and inflammatory cell function has received increasing attention. In chronic sinusitis, there are often changes in the expression and function of potassium channels, leading to mucosal damage and a stronger inflammatory response. However, the related research is still in its early stages. This article will review the role of the potassium channel in the pathological and physiological changes of chronic sinusitis. The studies revealed that BK/TREK-1 potassium channel play a protective role in the nasal mucosal function through p38-MAPK pathway, and KCa3.1/Kv1.3 enhance the inflammatory response of Chronic rhinosinusitis by regulating immune cell function, intracellular Ca2+ signaling and ERK/MAPK/NF-κB pathway. Because ion channels are surface proteins of cell membranes, they are easier to intervene with drugs, and the results of these studies may provide new effective targets for the prevention and treatment of chronic sinusitis

Ultra-Short-Term Photovoltaic Power Generation Prediction Based on Hunter–Prey Optimized K-Nearest Neighbors and Simple Recurrent Unit

In view of the current problems of complex models and insufficient data processing in ultra-short-term prediction of photovoltaic power generation, this paper proposes a photovoltaic power ultra-short-term prediction model named HPO-KNN-SRU, based on a Simple Recurrent Unit (SRU), K-Nearest Neighbors (KNN), and Hunter–Prey Optimization (HPO). Firstly, the sliding time window is determined by using the autocorrelation function (ACF), partial correlation function (PACF), and model training. The Pearson correlation coefficient method is used to filter the principal meteorological factors that affect photovoltaic power. Then, the K-Nearest Neighbors (KNN) algorithm is utilized for effective outlier detection and processing to ensure the quality of input data for the prediction model, and the Hunter–Prey Optimization (HPO) algorithm is applied to optimize the parameters of the KNN algorithm. Finally, the efficient Simple Recurrent Unit (SRU) model is used for training and prediction, with the Hunter–Prey Optimization (HPO) algorithm applied to optimize the parameters of the SRU model. Simulation experiments and extensive ablation studies using photovoltaic data from the Desert Knowledge Australia Solar Centre (DKASC) in Alice Springs, Australia, validate the effectiveness of the integrated model, the KNN outlier handling, and the HPO algorithm. Compared to the Support Vector Regression (SVR), Long Short-Term Memory (LSTM), Temporal Convolutional Network (TCN), and Simple Recurrent Unit (SRU) models, this model exhibits an average reduction of 19.63% in Mean Square Error (RMSE), 27.54% in Mean Absolute Error (MAE), and an average increase of 1.96% in coefficient of determination (R2) values

Synergy of Extraframework Al3+Cations and Brønsted Acid Sites on Hierarchical ZSM-5 Zeolites for Butanol-to-Olefin Conversion

© 2021 American Chemical Society.ZSM-5 zeolite catalyzed dehydration of biobutanol has been widely used for the sustainable production of butene. Brønsted acid sites (BASs) in zeolites usually act as catalytically active sites. Lewis acid sites (LASs) are also active for alcohol dehydration. Therefore, extraframework aluminum species have been introduced to zeolites as LASs. Tricoordinated Al species are the strongest LASs, which can enhance the acidity of adjacent surface BASs. Here, we combined solid-state nuclear magnetic resonance (NMR) spectroscopy and in situ diffuse reflectance infrared spectroscopy (DRIFTS) to investigate the local structures and acidity of hierarchical ZSM-5 zeolites with/without the introduction of Al3+ cations as well as their correlations with the catalytic performance in biobutanol dehydration. 27Al magic angle spinning (MAS) NMR, 27Al multiple-quantum (MQ) MAS NMR, and 31P MAS NMR after loading trimethylphosphine oxide (TMPO) probe molecules showed that the tricoordinated Al species are dominant acid sites after introducing Al3+ cations into pure silica hierarchical ZSM-5 zeolites. For BASs-rich hierarchical ZSM-5 zeolites (SiO2/Al2O3 = 50), the Al3+ cations tend to stay in proximity to the bridging Si-OH-Al and thereby strongly enhance the acidic strength of BASs via the synergy of LASs and BASs. Contributing from the synergy effect, the ultrastrong BAS has been formed, which gives an obvious improvement in the biobutanol conversion and butene selectivity. In situ DRIFTS showed that tricoordinated Al3+ cations cooperating with BASs can promote the formation of butoxy intermediates at a low reaction temperature, which further improves the butanol dehydration.11Nsciescopu

Remedying Defects in Carbon Nitride To Improve both Photooxidation and H₂ Generation Efficiencies

The outstanding visible light response of carbon nitride has aroused intense expectations regarding its photocatalysis, but it is impeded by the inevitable defects. Here, we report on a facile melamine-based defect-remedying strategy and resultant carbon nitride high-performance photocatalysts (R-C₃N₄). Melamine with amino groups and a triazine structure was selected as a “little patch” to passivate and remedy various defects inside carbon nitride. Such a remedying effect has been comprehensively proven by Fourier transform infrared spectroscopy (FT-IR), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD) analyses, and the ninhydrin test. In addition, their effects on photocatalysis were also individually confirmed by chemical methods, including cyano reduction reactions and deamination reactions. Furthermore, melamine remediation can result in g-C₃N₄/mpg-C₃N₄ junctions, which also favors electron transfer and charge separation during the photocatalytic reaction. In order to explore its broader applications, R-C₃N₄ was used as a photocatalyst for the photooxidation reaction of 1,4-dihydro-2,6-dimethylpyridine-3,5-dicarboxylate (1,4-DHP) and simultaneous H₂ evolution. The conversion rates of 1,4-DHP and H₂ production catalyzed by R-C₃N₄ were enhanced 2 and 6.5 times, respectively. This rational design is beneficial for the conversion of 1,4-DHP during the preparation of bioactive compounds and clean hydrogen production at the same time