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Palmitoylethanolamide (PEA) exhibits multiple skincare functions such as anti-nociceptive and anti-inflammatory effects. However, its topical application is limited due to its difficulty in bypassing the stratum corneum barrier, relatively low bioavailability, and low stability. Herein, elastic nano-liposomes (ENLs) with excellent deformability and elasticity were utilized as a novel drug delivery system to encapsulate PEA to overcome the abovementioned issues and enhance the biological effects on the skin. ENL was prepared with phosphatidylcholine, cholesterol, and cetyl-PG hydroxyethyl palmitamide with a molar ratio mimicking skin epidermal lipids, and PEA was loaded. The PEA-loaded ENL (PEA-ENL) demonstrated efficient transdermal delivery and enhanced skin retention, with negligible cytotoxicity toward HaCaT cells and no allergic reaction in the human skin patch test. Notably, PEA-ENL treatment increased cell migration and induced significant regulation in the expression of genes associated with anti-nociceptive, anti-inflammatory, and skin barrier repair. The mechanism of the anti-nociceptive and anti-inflammatory effects of PEA was further investigated and explained by molecular docking site analysis. This novel PEA-ENL, with efficient transdermal delivery efficiency and multiple skincare functionalities, is promising for topical application. [ABSTRACT FROM AUTHOR]

The numerical calculation for nuclear reactor coupled system is the fusion, integration and upgrade of the existing numerical technologies in various related fields. Generally, the whole nuclear power plant has several different coupling mechanisms inherently, such as the multiphysics coupling, multiscale coupling and multisystem coupling, which is an ultralargescale strong nonlinear coupling system. Moreover, each coupling mechanism has its own mathematic features. The combination of different coupling mechanisms is such complicated, which is still an open issue for nuclear engineering community. Simultaneous solution methods, such as Jacobianfree Newton Krylov (JFNK) method and NewtonKrylov (NK) method, are a promising choice for effectively solving such complex nonlinear largescale system. In the first part of this work, the recent progress of numerical calculation for nuclear coupling system worldwide is reviewed, especially, several existing coupling methods are summarized and compared. In the second part, it focuses on the development of simultaneous solution methods as well as the coupling platform for high temperature gas-cooled reactor (HTR) full coupled system by Institute of Nuclear and New Energy Technology (INET), Tsinghua University. Due to the multiphysics, multiscale, multicomponent, multicircuit and multimodule coupling features in HTR, the key technologies, such as the JFNK method with nonlinearelimination, scaling factor and steam generator model, were presented and discussed. In detail, the JFNK method with nonlinearelimination was firstly proposed to deal with the multiscale temperature coupling between the global pebblebed and the local fuel sphere. The scaling factor technology was used to transform the illposed Jacobian matrix into the wellposed one in the multiphysical coupling issue. For the steam generator model, the dynamical residual method is conducted for the twophase flow in the second circuit to avoid the multisolution issue when the phase generation or the phase disappearance occurs. Moreover, a unified framework was proposed to tackle the multi-level coupling structure in HTR system, after several attempts were made. In this framework, the whole coupling system is gradually decomposed into systemlevel issue, componentlevel issue and physical fieldlevel issue, and solved as a whole system by the simultaneous solution method. However, to completely solve the whole HTR nuclear power plant system, there are still many works to do, such as the fundamental algorithm research, program framework development and engineering applications.

This study aimed to assess how Bacillus subtilis and Enterococcus faecium co-fermented feed (FF) affects the antioxidant capacity, muscle fibre types and muscle lipid profiles of finishing pigs. In this study, a total of 144 Duroc × Berkshire × Jiaxing Black finishing pigs were randomly assigned into three groups with four replicates (twelve pigs per replication). The three treatments were a basal diet (0 % FF), basal diet + 5 % FF and basal diet + 10 % FF, respectively. The experiment lasted 38 d after 4 d of acclimation. The study revealed that 10 % FF significantly increased the activity of superoxide dismutase (SOD) and catalase (CAT) compared with 0 % FF group, with mRNA levels of up-regulated antioxidant-related genes (GPX1 , SOD1 , SOD2 and CAT) in 10 % FF group. 10 % FF also significantly up-regulated the percentage of slow-twitch fibre and the mRNA expression of MyHC I , MyHC IIa and MyHC IIx , and slow MyHC protein expression while reducing MyHC IIb mRNA expression. Lipidomics analysis showed that 5 % FF and 10 % FF altered lipid profiles in longissimus thoracis. 10 % FF particularly led to an increase in the percentage of TAG. The Pearson correlation analysis indicated that certain molecular markers such as phosphatidic acid (PA) (49:4), Hex2Cer (d50:6), cardiolipin (CL) (72:8) and phosphatidylcholine (PC) (33:0e) could be used to indicate the characteristics of muscle fibres and were closely related to meat quality. Together, our findings suggest that 10 % FF improved antioxidant capacity, enhanced slow-twitch fibre percentage and altered muscle lipid profiles in finishing pigs. [ABSTRACT FROM AUTHOR]

With the development of mathematical statistics, people have developed the spatiotemporal interpolation methods based on the spatial interpolation method or the temporal interpolation method. These methods fully consider the comprehensive effects of time series changes and spatial distribution to better handle complicated and changeable meteorological element data. This article systematically reviews the current research progress of spatiotemporal interpolation methods for spatiotemporal sampling data of meteorological origin. Spatiotemporal interpolation methods of meteorological elements are classified into three categories: spatiotemporal geostatistical interpolation methods, spatiotemporal deterministic interpolation methods, and spatiotemporal mixed interpolation methods. This article summarizes the theoretical concept and practical application of the spatiotemporal interpolation methods of meteorological elements, analyzes the advantages and disadvantages of using spatiotemporal interpolation methods for estimating or forecasting meteorological elements, combined through some measures and their application to explain the accuracy of the spatiotemporal interpolation methods; and discusses the problems and challenges of spatiotemporal interpolation. Finally, the future research focus of spatiotemporal interpolation methods is proposed. This article provides a valuable method reference for estimating or predicting meteorological elements such as precipitation in unsampled points. [ABSTRACT FROM AUTHOR]

BACKGROUND: Weeds are one of the critical factors that negatively affect crop yield and quality. Microbial herbicides are a research hotspot for novel herbicides owing to their environmental safety and lack of weed resistance. In the current study, the active ingredients of Serratia marcescens Ha1, a new microbial herbicide, were investigated for their effectiveness against agricultural weeds using bioassay‐guided fractionation. RESULTS: The results revealed that petroleum ether and ethyl acetate extracts of S. marcescens Ha1 had high herbicidal activity. Forty‐nine compounds were identified from the petroleum ether extract, including 2,4‐di‐tert‐butylphenol (DB; C14H22O, 38.82%), ethyl 14‐methyl‐hexadecanoate, 1‐nonadecene, and [1,1′‐biphenyl]‐2,3′‐diol, 3,4′,5,6′‐tetrakis. Of these, DB showed significant inhibitory effects on root and shoot growth in Amaranthus retroflexus, with half‐maximal inhibitory concentration (IC50) values of 389.17 and 832.44 mg L−1, respectively. In addition, 7‐hydroxy‐3‐(2‐methylpropyl)‐2,3,6,7,8,8a‐hexahydropyrrolo[1,2‐a]pyrazine‐1,4‐dione (HPD) was identified as the major active ingredient in the ethyl acetate extract of S. marcescens Ha1 using bioassay‐guided fractionation, with IC50 values of 439.86 and 476.95 mg L−1 against A. retroflexus shoot and root growth, respectively. Scanning electron microscopy indicated that DB and HPD exert destructive effects on A. retroflexus root, and the damage is gradually aggravated with increasing treatment time and concentration. CONCLUSION: The S. marcescens Ha1 extract and its active compounds DB and HPD exhibit significant herbicidal activity, which could be utilized further for the development of microbial herbicides. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]