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Fresh shiitake mushroom is rich in various nutrients such as carbohydrates, proteins, fats, vitamins and minerals, with antioxidant, anti-tumor, antibacterial and immunoenhancing effects. Due to its short storage life and susceptibility to deterioration, fresh shiitake mushroom is usually processed into dried products, which can effectively extend the storage period. The Maillard reaction during the drying process can provide a special flavor to shiitake mushroom, and the rehydration characteristics of dried shiitake mushroom are important factors determining its quality. This paper introduces the drying and rehydration processes of shiitake mushroom and the advantages and disadvantages of different rehydration methods, and reviews the characteristics of different rehydration methods, the factors affecting the rehydration process and the influence of rehydration on the quality of shiitake mushroom as well as recent progress on the modeling of rehydration kinetics. In addition, it deeply discusses the changes of texture, flavor, color and cell structure during the rehydration process of shiitake mushroom. The aim of this review is to provide new ideas and references for research on shiitake mushroom rehydration and processing.

ObjectiveTo apply high performance liquid chromatography-inductively coupled plasma mass spectrometry （HPLC-ICP/MS） to the analysis of five forms of selenium ［Se（Ⅵ）， Se（Ⅳ）， SeCys， MeSeCys， and SeMet］ in livestock meat.MethodsThe selenium species were extracted using the ultrasonic-assisted enzyme method， with C18 reversed-phase column （250 mm×4.6 mm， 5 μm） as the analytical column， 10 mmol/L citric acid and 5 mmol/L sodium hexane sulfonate （pH=4.0， containing 1% methanol） as the mobile phase， and an injection volume of 20 μL.ResultsFour selenium forms were separated in 7 min， with correlation coefficients greater than 0.999， indicating good linearity. The detection limits of Se（Ⅵ）， SeCys， MeSeCys， and SeMet ranged from 0.000 3-0.002 mg/kg. The spiked recoveries of selenium-enriched pork at three concentrations （low， medium， and high） ranged from 80.0% to 103.3%， with a relative standard deviation of less than 6.8%. Certified Reference Material ERM® BC210 revealed values within the standard range.ConclusionThe developed method was suitable for determining Se（Ⅵ） SeCys， MeSeCys， and SeMet in livestock meat. The meat was found to mainly contain SeMet and small amounts of MeSeCys and SeCys.

Objective·To explore the significance and mechanism of asialoglycoprotein receptor 1 (ASGR1) in hepatocellular carcinoma.Methods·The expression of ASGR1 in patients with liver cancer in The Cancer Genome Atlas (TCGA) database was analyzed by R language and the related survival curves were drawn. The Human Protein Atlas (HPA) database was used to obtain the immunohistochemistry (IHC) data of normal human liver tissue and liver cancer tissue to analyze the protein expression of ASGR1. By using the hydrodynamic tail vein injection (HTVI) delivery method, Asgr1 was knocked out in the liver of fully immune mice to explore its tumorigenic function in vivo. Gene knockout efficiency was verified by Western blotting (WB). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and correlation analysis were performed by using R language. The GSEA hallmark correlation pathway analysis was performed by using Gene Set Enrichment Analysis (GSEA) software. The expression level of key genes of glycolysis in mouse liver cancer tissue was verified by quantitative real-time PCR (qPCR).Results·ASGR1 was significantly low-expressed in liver cancer tissue, and the low expression of ASGR1 in liver cancer patients was associated with poorer overall survival (OS), disease-free interval (DFI), progression-free interval (PFI), and disease-specific survival (DSS). The higher the degree of tumor grade, the lower the expression level of ASGR1 in patients with liver cancer. Immunohistochemistry showed that the protein expression of ASGR1 in normal human liver tissue was significantly higher than that in liver cancer tissue. In an immunocompetent mouse model of hepatocellular carcinoma, knockout of endogenous Asgr1 in mice increased the size and number of tumor nodules in liver tissue. In the TCGA database, patients with liver cancer in the ASGR1 low-expression group were enriched in multiple cancer and metabolic pathways. The expression of ASGR1 was negatively correlated with some key genes of glycolysis. The level of glycolysis in liver cancer tissues of mice in the Asgr1 knockout group was higher than that in the control group. It was suggested that the low expression of ASGR1 be likely to promote the growth and development of liver cancer and strengthen metabolic reprogramming to promote the anabolic development of tumors.Conclusion·The expression of ASGR1 is significantly reduced in patients with liver cancer, which is positively correlated with the prognosis of patients. Knocking out Asgr1 in mice can promote the occurrence and development of hepatocellular carcinoma. ASGR1 can be used as a potential biomarker for poor prognosis of liver cancer and a new target for potential treatment.

Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of these data using gas analyzers can be both technically challenging and time consuming, and individual studies generally focus on a small range of species, restricted time periods, or limited geographic regions. The high value of these data is exemplified by the many publications that reuse and synthesize gas exchange data, however the lack of metadata and data reporting conventions make full and efficient use of these data difficult. Here we propose a reporting format for leaf-level gas exchange data and metadata to provide guidance to data contributors on how to store data in repositories to maximize their discoverability, facilitate their efficient reuse, and add value to individual datasets. For data users, the reporting format will better allow data repositories to optimize data search and extraction, and more readily integrate similar data into harmonized synthesis products. The reporting format specifies data table variable naming and unit conventions, as well as metadata characterizing experimental conditions and protocols. For common data types that were the focus of this initial version of the reporting format, i.e., survey measurements, dark respiration, carbon dioxide and light response curves, and parameters derived from those measurements, we took a further step of defining required additional data and metadata that would maximize the potential reuse of those data types. To aid data contributors and the development of data ingest tools by data repositories we provided a translation table comparing the outputs of common gas exchange instruments. Extensive consultation with data collectors, data users, instrument manufacturers, and data scientists was undertaken in order to ensure that the reporting format met community needs. The reporting format presented here is intended to form a foundation for future development that will incorporate additional data types and variables as gas exchange systems and measurement approaches advance in the future. The reporting format is published in the U.S. Department of Energy's ESS-DIVE data repository, with documentation and future development efforts being maintained in a version control system.

BACKGROUND Selenium is an essential trace element and a typical bifunctional element that can affect human health if consumed in insufficient or excessive amounts. The biological activity of selenium depends not only on its intake level but also on its chemical speciation. Selenium comes in various speciation and is divided mainly into inorganic and organic selenium. Inorganic selenium includes selenate [Se(Ⅵ)] and selenite [Se(Ⅳ)], and organic selenium mainly includes selenocysteine (SeCys2), selenomethionine (SeMet), and methylselenocysteine (MeSeCys). It has been found that organic selenium has high bioactivity and bioavailability. At present, while the nutritional effects of selenium are drawing more and more attention, it is very important to analyze and study the different speciation of selenium in food. Since the analysis of selenium speciation is closely related to the sample matrix, the extraction efficiency and stability of different selenium speciation are also related to many factors. At present, the analysis method of selenium speciation in food is still in the research stage. Broccoli is rich in nutrients, such as protein, flavonoids, polyphenols, and vitamins, and is widely loved by people because it contains many kinds of thioglucosides and has a strong ability to gather selenium, which has antioxidant and anti-cancer medical values. Therefore, the analysis and study of selenium speciation in broccoli is of some significance. OBJECTIVES To establish a method for the determination of Se(Ⅵ), Se(Ⅳ), SeCys2, MeSeCys, and SeMet in commercial broccoli by high performance liquid chromatography-inductively coupled plasma-mass spectrometry (HPLC-ICP-MS). METHODS Firstly, the chromatographic conditions were selected by examining the separation and sensitivity of Se(Ⅵ), Se(Ⅳ), SeCys2, MeSeCys, and SeMet on a Hamilton PRP-X100 anion column with 40mmol/L diammonium hydrogen phosphate (pH=5 with 1% methanol) as the mobile phase and on a ZORBAX SB-Aq C18 reversed-phase column with 10mmol/L citric acid plus 5mmol/L sodium hexane-sulphonate (pH=4 with 1% methanol) as the mobile phase. Secondly, the sample pretreatment conditions were optimized, including the selection of extraction reagents, the amount of extraction reagents, and extraction time. Four extraction reagents (ultrapure water, Tris-HCl buffer solution, proteinase XIV and complex proteinase) were selected for optimization. The effect of proteinase XIV concentration on the extraction was investigated by adding 2, 4, 6, and 8mg/mL proteinase XIV to broccoli samples with selenium content of 0.81mg/kg (calculated as Se). The effect of adding 6mL, 10mL, 12mL, and 15mL of Tris-HCl buffer solution on the extraction was compared. The extraction time of the samples also had a great influence on the extraction efficiency of the selenium speciation. The effects of four extraction times of 1h, 3h, 5h and 7h on the extraction were compared. RESULTS The ZORBAX SB-Aq C18 separation system was used in this study because of the short analysis time and high sensitivity of each selenium speciation. Protease XIV was the most effective extraction reagent for selenium; therefore proteinase XIV was chosen as the extraction reagent. The concentration of selenium speciation increased with the concentration of proteinase XIV. The maximum concentration of selenium speciation was reached when the concentration of proteinase XIV was 6mg/mL. It was reported that the use of Tris-HCl buffer solution with proteinase XIV at appropriate pH conditions could further improve the extraction efficiency and maintain the stability of selenium speciation. The volume of Tris-HCl buffer increased, the extraction efficiency of each selenium speciation gradually increased and then decreased, and the final selection of Tris-HCl buffer solution addition was 12mL. A longer extraction time would help to increase the extraction effect, but too long an enzymatic digestion time would also cause a decrease in the stability of SeMet and SeCys2. To ensure high extraction efficiency and reduce the conversion of selenium speciation, an extraction time of 3h was preferred. After optimization and selection, the final analysis method was determined as follows: weighing a certain amount of broccoli sample into 12mL of Tris-HCl (pH=7.4, containing 6mg/mL proteinase XIV) at a concentration of 100mmol/L, vortexing and mixing, and then sonicating at 37℃ for 3h. After centrifugation, the extraction were eluted with 10mmol/L citric acid and 5mmol/L sodium hexane sulfonate (pH=4 with 1% methanol) on ZORBAX SB-Aq C18 reversed-phase column. ICP/MS was used for analysis and determination.This method can achieve effective separation and determination of five selenium speciation within 8 minutes. The linearity range of the method was 0.3-100.0μg/L, with linear correlation coefficients (r) greater than 0.999. The detection limits of Se(Ⅳ), Se(Ⅵ), MeSeCys, and SeMet were within the range of 1.2-6.0μg/kg (calculated as Se). The standard recovery tests were carried out on broccoli samples at low, medium, and high concentration. The recoveries of these four selenium speciation, Se(Ⅵ), Se(Ⅳ), MeSeCys and SeMet, were 81.9%-105.3% with relative standard deviations (RSD) less than 5%. The method established in this study was used to determine SeMet in the EU-certified reference material (ERM BC210a, wheat flour), and the measured value of SeMet was within the range of its standard values.More than 20 commercially available broccoli samples collected from different regions of China were analyzed and determined. The results showed that the selenium speciation in commercially available broccoli was mainly MeSeCys, with small amounts of Se(Ⅵ), Se(Ⅳ), and SeMet, and also a small amount of unknown selenium-containing compounds was also present.Two problems identified in the methodological study were explored. (1) The effect of proteinase XIV dosage on the stability of SeCys2 was investigated by adding 1, 2, 4, and 6mg/mL of proteinase XIV to SeCys2 standard solution, respectively. The results showed that as the concentration of proteinase XIV increased, the signal value of SeCys2 gradually decreased and the signal value of three unknown peaks gradually increased. At the same time, the recovery of SeCys2 in broccoli samples decreased to 10%. Based on the above conditions, it is assumed that the content of proteinase XIV and the matrix of broccoli samples affect the stability of SeCys2.(2) Three different broccoli samples were selected for Se(Ⅳ) standard recovery tests: fresh commercially available broccoli samples, freeze-dried powder of commercially available broccoli, and freeze-dried powder of broccoli fortified with Se(Ⅳ) selenium fertilizer. A certain amount of the above three samples was added with Se(Ⅳ) standard solution and 100mmol/L Tris-HCl (pH=7.4, containing 6mg/mL of proteinase XIV). The determination was then carried out according to the proposed analytical method and the mean recoveries of the three samples were found to be 81.1%, 69.5% and 1.53%, respectively. The Kruskal-Wallis rank sum test showed that the recoveries of Se(Ⅳ) were significantly different among the three samples (p < 0.05). Previous investigations have found that phenolic substances can affect the stability of Se(Ⅳ) and that the addition of selenium fertilizer during the growth of broccoli can change the phenolics. Based on the above, it is assumed that the presence of phenolics in broccoli samples may affect the determination of Se(IV). CONCLUSIONS A method for the determination of Se(Ⅳ), Se(Ⅵ), MeSeCys, and SeMet in commercially available broccoli by HPLC-ICP-MS is established by selecting and optimizing the sample pretreatment and analytical conditions. The Tris-HCl buffer solution containing proteinase XIV is chosen for the extraction of samples.It is found that the stability of SeCys2 is affected by the concentration of proteinase XIV and broccoli samples matrix. It is hypothesized that the presence of large amounts of phenolics in the samples can affect the determination of Se(Ⅳ) for reasons to be further explored.

Terrestrial carbon cycle models have incorporated increasingly more processes as a means to achieve more-realistic representations of ecosystem carbon cycling. Despite this, there are large across-model variations in the simulation and projection of carbon cycling. Several model intercomparison projects (MIPs), for example, the fifth phase of the Coupled Model Intercomparison Project (CMIP5) (historical simulations), Trends in Net Land-Atmosphere Carbon Exchange (TRENDY), and Multiscale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), have sought to understand intermodel differences. In this study, the authors developed a suite of new techniques to conduct post-MIP analysis to gain insights into uncertainty sources across 25 models in the three MIPs. First, terrestrial carbon storage dynamics were characterized by a three-dimensional (3D) model output space with coordinates of carbon residence time, net primary productivity (NPP), and carbon storage potential. The latter represents the potential of an ecosystem to lose or gain carbon. This space can be used to measure how and why model output differs. Models with a nitrogen cycle generally exhibit lower annual NPP in comparison with other models, and mostly negative carbon storage potential. Second, a transient traceability framework was used to decompose any given carbon cycle model into traceable components and identify the sources of model differences. The carbon residence time (or NPP) was traced to baseline carbon residence time (or baseline NPP related to the maximum carbon input), environmental scalars, and climate forcing. Third, by applying a variance decomposition method, the authors show that the intermodel differences in carbon storage can be mainly attributed to the baseline carbon residence time and baseline NPP (>90% in the three MIPs). The three techniques developed in this study offer a novel approach to gain more insight from existing MIPs and can point out directions for future MIPs. Since this study is conducted at the global scale for an overview on intermodel differences, future studies should focus more on regional analysis to identify the sources of uncertainties and improve models at the specified mechanism level.

Visual electrophysiology measurements are crucial in ophthalmology as they are frequently used for diagnosing and treating numerous ocular diseases. Therefore, optically transparent and flexible electrodes with high sensitivity at localized regions are in high demand. Here, it is aimed to develop a soft, transparent, multi‐electrode system assembled on commercially available soft contact lenses and assess its application in measuring Electroretinography (ERG) responses in rabbits. A biocompatible multi‐electrode system on commercial disposable soft contact lenses is successfully constructed, showing 95% cell viability, 82% optical transparency over the visible range, and good flexibility at 10% strain. Direct current (DC) voltage is used to produce a highly resistive overoxidized poly(3,4‐ethylenedioxythiophene) (PEDOT) layer that covers all parts of the electrodes except the sensing region, which, owing to its high conductivity, can accurately measure electrical signals from local regions of the cornea. Spatially resolved ERG recordings of rabbits are obtained with superior signal quality using this multi‐electrode system. Thus, this device is expected to be used in ophthalmic diagnosis in the future. [ABSTRACT FROM AUTHOR]

This research explores the interplay between innovation, economic systems, governance structures, and law, and how they interact with one another in the context of China and Ethiopia's investments in the Digital Silk Road. The way cutting-edge methods related to governance and economic systems might help lower the risks involved in major infrastructure projects, like the Digital Silk Road, particularly in light of law and 5G developments, is investigated. China–Africa connections are to be strengthened, sustainable development is to be encouraged, and healthy economic progress is the goal of the partnership between Ethiopia and the Hainan Free Trade Port. The impact of these transnational investments on fair growth and sustainable development is assessed, while exploring the evolving agendas and procedures governing investments. This research draws attention to how the law and legal cooperation between Ethiopia and China may promote mutually advantageous outcomes, promote transparency and governance mechanisms, and lessen the likelihood of disputes. This research on the factors influencing the future of the Digital Silk Road and its consequences for long-term, sustainable economic growth, and business in the area, aims to provide valuable insights for policymakers, development professionals, and academics, and for the copromotion of China and Ethiopia in terms of digital investment. This research relates to the promotion of the African Continental Free Trade Area (AfCFTA), in terms of construction and economic development. It also examines how the DSR raises concerns about data security and privacy, cross-border transactions, technology transfer, and cyberterrorism, as well as encourages digital investment, such as through enhancing digital governance regulations, modernizing international investment agreements (IIAs), and bolstering global health, coordination, and cooperation; the article concludes by analyzing the implications for Africa. The findings show that such cooperation would support Africa's digital transformation and sustainable development, while strengthening China–Africa cooperation. [ABSTRACT FROM AUTHOR]

Food spoilage caused by foodborne microorganisms will not only cause significant economic losses, but also the toxins produced by some microorganisms will also pose a serious threat to human health. Essential oil (EOs) has significant antimicrobial activity, but its application in the field of food preservation is limited because of its volatile, insoluble in water and sensitive to light and heat. Therefore, in order to solve these problems effectively, this paper first analyzed the antibacterial effect of EOs as an antimicrobial agent on foodborne bacteria and its mechanism. Then, the application strategies of EOs as a sustained-release antimicrobial agent in food preservation were reviewed. On this basis, the release mechanism and application cases of EOs in different antibacterial composites were analyzed. The purpose of this paper is to provide technical support and solutions for the preparation of new antibacterial packaging materials based on plant active components to ensure food safety and reduce food waste. [ABSTRACT FROM AUTHOR]