摘要：
Improving the adsorption performance of wetland fillers is of great significance for enhancing pollutant removal in constructed wetlands. Currently, limited by complex preparation processes and high costs, large numbers of high adsorption fillers studied in lab are difficult to be applied in practical engineering. In this study, a newly low-cost and efficient phosphorus removal composite wetland filler (CFB) is prepared by using industrial and agriculture waste (steel slag and oyster shells) and natural ore (volcanic rock) as raw materials. The results show that phosphorus removal efficiency was largely enhanced by synergistic effects of steel slag, oyster shells, and volcanic rock, and it was mainly influenced by the proportion of each component of CFB. Based on the fitting of the classical isothermal equation, the adsorption capacity of CFB is 18.339 mg/g. The adsorption of phosphorus by CFB is endothermic and spontaneous, and there are heterogeneous surfaces and multi-layer adsorption processes, as well as pH value and temperature, are free from the influence on CFB phosphorus removal. During the practical wastewater application experiments, the phosphorus removal rate of the CFB-filled constructed wetland apparatus (CW-A) can reach 94.89% and is free from the influence on the removal of other pollutants (COD, TN, and NH(3)-N) by the system. Overall, the prepared CFB is of excellent decontamination effect, an extremely simple preparation process, low cost, and sound practical engineering application potential, providing new ideas and approaches for enhancing the phosphorus removal capacity and waste resource utilization of constructed wetland systems.
摘要：
BACKGROUND: Camellia oleifera, an essential woody oil tree in China, propagates through grafting. However, in production, it has been found that the interaction between rootstocks and scions may affect fruit characteristics. Therefore, it is necessary to predict fruit characteristics after grafting to identify suitable rootstock types. METHODS: This study used Deep Neural Network (DNN) methods to analyze the impact of 106 6-year-old grafting combinations on the characteristics of C.oleifera, including fruit and seed characteristics, and fatty acids. The prediction of characteristics changes after grafting was explored to provide technical support for the cultivation and screening of specialized rootstocks. After determining the unsaturated fat acids, palmitoleic acid C16:1, cis-11 eicosenoic acid C20:1, oleic acid C18:1, linoleic acid C18:2, linolenic acid C18:3, kernel oil content, fruit height, fruit diameter, fresh fruit weight, pericarp thickness, fresh seed weight, and the number of fresh seeds, the DNN method was used to calculate and analyze the model. The model was screened using the comprehensive evaluation index of Mean Absolute Error (MAPE), determinate correlation R(2) and and time consumption. RESULTS: When using 36 neurons in 3 hidden layers, the deep neural network model had a MAPE of less than or equal to 16.39% on the verification set and less than or equal to 13.40% on the test set. Compared with traditional machine learning methods such as support vector machines and random forests, the DNN method demonstrated more accurate predictions for fruit phenotypic characteristics, with MAPE improvement rates of 7.27 and 3.28 for the 12 characteristics on the test set and maximum R(2) improvement values of 0.19 and 0.33. In conclusion, the DNN method developed in this study can effectively predict the oil content and fruit phenotypic characteristics of C. oleifera, providing a valuable tool for predicting the impact of grafting combinations on the fruit of C. oleifera.
摘要：
Sb-based materials exhibit considerable potential for sodium-ion storage owing to their high theoretical capacities. However, the bulk properties of Sb-based materials always result in poor cycling and rate performances. To overcome these issues, pyridine-regulated Sb@InSbS3 ultrafine nanoplates loaded on reduced graphene oxides (Sb@InSbS3@rGO) were designed and synthesized. During the synthesis process, pyridine was initially adopted to coordinate with In3+, and uniformly dispersed In2S3 ultrafine nanoplates on reduced graphene oxide were generated after sulfidation. Next, partial In3+ was exchanged with Sb3+, and Sb@InSbS3@rGO was obtained by using the subsequent annealing method. The unique structure of Sb@InSbS3@rGO effectively shortened the transfer path of sodium ions and electrons and provided a high pseudocapacitance. As the anode in sodium-ion batteries, the Sb@InSbS3@rGO electrode demonstrated a significantly higher reversible capacity, better stability (445 mAh<middle dot>g(-1) at 0.1 A<middle dot>g(-1) after 200 cycles and 212 mAh<middle dot>g(-1) at 2 A<middle dot>g(-1) after 1200 cycles), and superior rate (210 mAh<middle dot>g(-1) at 6.4 A<middle dot>g(-1)) than the electrode without pyridine (355 mAh<middle dot>g(-1) at 0.1 A<middle dot>g(-1) after 55 cycles and 109 mAh<middle dot>g(-1) at 2 A<middle dot>g(-1) after 770 cycles). Furthermore, full cells were assembled by using the Sb@InSbS3@rGO as anode and Na3V2(PO4)(3) as cathode, which demonstrated good cycling and rate performances and exhibited promising application prospects. These results indicate that adjusting the microstructure of electrode materials through coordination balance is A<middle dot>good strategy for obtaining high-capacity, high-rate, and long-cycle sodium storage performances.
关键词：
the three-terminal ballistic junction;the alpha-T-3 lattie;the anisotropic transport
摘要：
The three-terminal ballistic junction (TBJ) has promising applications in nanoelectronics. We investigate the transport properties of aα-T(3)-based TBJ, where two typical configurations are considered, i.e. the A- and Z-TBJ. It is found that both A- and Z-TBJ exhibit transmission anisotropy, and the transmission of the A-TBJ has stronger anisotropy than that of the Z-TBJ. The amplitude of the rectification coefficient is smaller than that of phosphorene TBJ, but larger than that of graphene TBJ. When the symmetrical input is applied, the output voltage curve exhibits symmetric behavior. While in the case of asymmetric input, the symmetric behavior is broken, and the maximum value of the output voltage can reach a positive value. Interestingly, the voltage output shows a dramatic nonlinear response which may be useful for the voltage diode application with a push-pull input voltage. In addition, the heat fluxes of the asymmetric input are much smaller than those of the symmetric input. The maximum value of the heat flux under the symmetric input exceeds twice of that under the asymmetric input. Our results are useful to design nanoelectronic devices based onα-T(3)TBJ.
摘要：
Eucalyptus was one of the most cultivated hardwood species worldwide, with rapid growth, good wood properties and a wide range of adaptability. Eucalyptus stem undergoes primary growth (longitudinal growth) followed by secondary growth (radial growth), which produces biomass that is an important source of energy worldwide. In order to better understand the genetic regulation of secondary growth in Eucalyptus grandis, Transcriptome analyses in stem segments along a developmental gradient from the third internode to the eleventh internode of E. grandis that spanned primary to secondary growth were carried out. 5,149 genes that were differentially expressed during stem development were identified. Combining the trend analysis by the Mfuzz method and the module-trait correlation analysis by the Weighted Gene Co-expression Network Analysis method, a total of 70 differentially expressed genes (DEGs) selected from 868 DEGs with high connectivity were found to be closely correlated with secondary growth. Results revealed that the differential expression of these DEGs suggests that they may involve in the primary growth or secondary growth. AP1, YAB2 TFs and EXP genes are highly expressed in the IN3, whereas NAC, MYB TFs are likely to be important for secondary growth. These results will expand our understanding of the complex molecular and cellular events of secondary growth and provide a foundation for future studies on wood formation in Eucalyptus.
摘要：
As green renewable resources, wood and its composites are widely used in the construction field, which puts forward higher requirements for their flame-retardant performance. In this study, a high-temperature hydrothermal crystallization method for in situ constructing an epoxy crosslinked Si-Al zeolite-like structural wood composite (WZLC) was reported. Under the action of amine guiding agents and epoxy resin, the zeolite-like catalytic structure constructed in poplar wood comprised negative electrocatalytic sites, which can efficiently catalyze the formation of the carbon layer and endow WZLC with excellent flame retardant, smoke-suppression, and self-extinguishing properties. Compared with the untreated wood (WN), the thermal stability of the treated wood (WZLC) was greatly improved, and the amount of volatile organic compounds released during the decomposition process was significantly reduced. The heat release rate, total heat release, smoke production rate, and total smoke production of WZLC1 decreased by 50.23%, 44.14%, 45.21%, and 28.46%, respectively. Particularly, CO and CO2 yields of WZLC significantly decreased by 92.26% and 92.02%, respectively, indicating that the Si-Al zeolite-like catalytic structure displayed excellent catalytic flame retardant properties, which can effectively decrease the thermal decomposition rate and combustion risk of the WZLC. This method uses less flame retardants to achieve a good flame retardant and smoke suppression effect, thereby reducing the risk of environmental pollution caused by too many flame retardants.
摘要：
Diabetes is one of the most prevalent diseases worldwide. The tissue regeneration of diabetes patients is known to be rather tricky as the result of vascular dysfunction, and this leads to various clinical complications including diabetic foot ulcers. The vascular endothelial cells, which compactly line the inner surface of blood vessels, are responsible for the growth and maintenance of blood vessels and play an essential role in tissue regeneration. Although the mechanical properties of cells are generally known to be regulated by physiological/pathological conditions, few studies have been performed to investigate vascular endothelial cellular mechanics under hyperglycemia and the biological functions related to tissue regeneration. In this study, we conduct a systematic investigation of this issue. The results suggested that the stiffness of human umbilical vein endothelial cells (HUVECs) can be significantly regulated by the glucose concentration, subsequently, leading to significant alterations in cell migration and proliferation capabilities that are closely related to tissue regeneration. The rearrangement of the cytoskeleton induced by hyperglycemia through Cdc42 was found to be one of the pathways for the alteration of the cell stiffness and the subsequent cell dysfunctions. Therefore, we suggested that the inhibition of Cdc42 might be a promising strategy to facilitate various tissue regeneration for diabetes patients.
作者机构：
[Ai, Wei; Meng, Tao; Meng, T; Xu, Jia; Shao, Hongen] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410082, Hunan, Peoples R China.;[Li, Keqin] State Univ New York New Paltz, Dept Comp Sci, New York, NY 12561 USA.
通讯机构：
[Meng, T ] C;Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410082, Hunan, Peoples R China.
摘要：
Entity event deduplication is the task of identifying all duplication entity events that have described the same entity within a set of events. However, the traditional entity event deduplication method has two challenges. First, the traditional method usually used global comparison when finding the duplication entity event, are all entity events in the dataset need to be compared, leading to low performance. Second, when the entity event evolves, the traditional method does not identify it well and reduces the effectiveness. To address these two problems and improve the performance and effectiveness, we propose a two-stage deduplication method based on graph node selection and optimization (TS-NSNO) strategy. In the first stage (TS-NS), we propose a graph node selection strategy, which transforms the global comparison into a local comparison by selecting the leader node, greatly reduces the number of calculations and improves the performance. In the second stage (TS-NO), we propose a graph node optimization strategy, by combining the spatiotemporal distance and entity event importance change of the event evolution, which optimizes the entity event with incorrect judgment to improve the effectiveness. We conduct extensive experiments on real entity event datasets of different sizes, and the results show that our method performs better in terms of performance and effectiveness.
作者机构：
[Peng, Chuan-Chong; Wu, LJ; Wu, Li-Jun; Long, Fang; Zhang, Kai-Yi; Liu, Jin-Hui] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.;[Long, Fang] ChangSha Commerce & Tourism Coll, Dept Hunan Cuisine, Changsha 410116, Peoples R China.;[Feng, Rui] Capital Normal Univ, Dept Chem, Beijing 100089, Peoples R China.
通讯机构：
[Wu, LJ ] C;Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.
摘要：
A novel alkyl radical-initiated alkylsulfonylation of alkenes via copper carbene coupling is developed for the synthesis of various alkyl-alkyl sulfones by employing potassium metabisulphite (K2S2O5) as a connector. In this reaction, readily available K2S2O5 not only serves as a sulfur dioxide source but is also demonstrated to be an efficient reducing agent for promoting the catalytic cycle. Notably, the late-stage modifications of bioactive molecules including estrone and cholesterol derivatives utilizing this protocol could also be achieved. Mechanistic investigations reveal that the transformation involves intramolecular radical cyclization, insertion of "SO2" and the coupling of copper carbenes in a single reaction step. A novel alkyl radical-initiated alkylsulfonylation of alkenes involving copper carbene coupling is developed for the synthesis of various alkyl-alkyl sulfones by employing potassium metabisulphite (K2S2O5) as a connector.
摘要：
The loading intermittence duo to the time interval between adjacent passing trains is conducive to improving the dynamic stability of railway subgrade, but this intermittence effect is always ignored in existing experimental studies on the dynamic characteristics of subgrade fillers in which a continuous cyclic loading method was adopted to simulate the long-term train-induced loading on subgrade. This paper aims to study the backbone curves of subgrade silty filler under intermittent train-induced loading, considering the time interval between adjacent passing trains. By conducting a series of intermittent cyclic triaxial tests on silty filler, the backbone curves of each loading stage were constructed, and the effects of loading intermittence on the backbone curves were elaborated. The experiment results indicate that the loading intermittence enhances the resistance of subgrade silty filler to the dynamic loading and is conducive to the upward deviation of the backbone curves. The loading intermittence could effectively increase the ultimate value of dynamic stress amplitude that the silty filler could bear under cyclic loading, but has little effect on the maximum/initial resilient modulus. The backbone curves increase approximately linear under the states of plastic shakedown and plastic creep, but show significant nonlinearity after including the incremental collapse samples. Hyperbolic models for backbone curves such as H-D model and its improvement model could be adopted to characterize the backbone curves of silty filler under intermittent loading, and the normalization of H-D model was also discussed to integrate the influencing factors (i.e., moisture content and confining pressure) of the backbone curves.
期刊：
Journal of Economic Policy Reform,2024年 ISSN：1748-7870
通讯作者：
Tao, L
作者机构：
[Tong, Jing] Cent South Univ Forestry & Technol, Coll Bangor, Changsha, Hunan, Peoples R China.;[Tao, Li; Tao, L] Cent South Univ Forestry & Technol, Coll Econ, Changsha, Hunan, Peoples R China.;[Luo, Shouyi] Nanyang Technol Univ, Nanyang Business Sch, Singapore, Singapore.
通讯机构：
[Tao, L ] C;Cent South Univ Forestry & Technol, Coll Econ, Changsha, Hunan, Peoples R China.
关键词：
Digital economy;environmental pollution;air pollution;public attention to environmental pollution;environmental governance efficiency;C23;E0;O13
摘要：
Our study aims to investigate whether and how the development of the digital economy can reduce air pollutant emissions in China. Specifically, using a fixed effect model and an empirical test that exploits pollutant emissions in 30 Chinese provinces from 2011 to 2020, we explore the impact of digital economy development on air pollution through three mechanisms: public attention to environmental pollution, production efficiency, and environmental governance efficiency. Additionally, we provide heterogeneity analysis based on regions, industrial structure, and years of schooling. Findings are crucial for policymakers and environmentalists concerned about economic development's effects on the environment.
作者机构：
[Li, Zhaoshuang; Liu, Chao; Wu, Zhiping; Qing, Yan; Wu, Yiqiang] Cent South Univ Forestry & Technol, Sch Mat Sci & Engn, Changsha 410004, Peoples R China.;[Jiang, Jianchun; Liu, Chao; Cai, Tingting; Wang, Kui; Wang, K; Jiang, JC] Inst Chem Ind Forest Prod, Chinese Acad Forestry, Key Lab Biomass Energy & Mat Jiangsu Prov, Natl Engn Lab Biomass Chem Utilizat, Nanjing 210042, Jiangsu, Peoples R China.;[Chen, Yuwei] Yancheng Inst Technol, Sch Automot Engn, Yancheng 224051, Peoples R China.;[Zhang, Xiaolei; Jia, Shuya] Univ Strathclyde, Dept Chem & Proc Engn, Glasgow City G1 1XJ, Scotland.
通讯机构：
[Wu, YQ ] C;[Wang, K ; Jiang, JC] I;Cent South Univ Forestry & Technol, Sch Mat Sci & Engn, Changsha 410004, Peoples R China.;Inst Chem Ind Forest Prod, Chinese Acad Forestry, Key Lab Biomass Energy & Mat Jiangsu Prov, Natl Engn Lab Biomass Chem Utilizat, Nanjing 210042, Jiangsu, Peoples R China.
摘要：
Solvents play a critical role in the lignin hydrogenation process. However, elucidating the role of solvents in lignin hydrogenation solely through experimental methods presents considerable challenges. The present report integrates experimental results, quantum chemical calculations, and molecular dynamics simulations to study the effect of solvents on the hydrogenation of lignin on Ru/C to produce phenolic compounds. Solvents not only disperse the substrate and promote the mass transfer process in the hydrogenation reaction, but also significantly affect the hydrogenation reaction rate of lignin. We show that the hydrogenation reaction rates of lignin in different solvents differ by an order of magnitude (isopropanol > methanol > water > gamma-valerolactone > tetrahydrofuran). By innovatively combining quantum chemical calculations with experimental results, it was reported for the first time that solvent affects the free energy barrier by regulating the properties of the transition state (C-O bond strength), thereby affecting the lignin hydrogenolysis reaction rate. Based on molecular dynamics simulations, this study investigated the interaction between lignin and various solvent molecules. The research results confirmed that solvent molecules regulate the solvent shell on the surface of lignin, thereby influencing the mechanism of the hydrogenation reaction process.
摘要：
JAZ proteins function as transcriptional regulators that form a jasmonic acid-isoleucine (JA-Ile) receptor complex with coronatine insensitive 1 (COI1) and regulate plant growth and development. These proteins also act as key mediators in signal transduction pathways that activate the defense-related genes. Herein, the role of OsJAZ4 in rice blast resistance, a severe disease, was examined. The mutation of OsJAZ4 revealed its significance in Magnaporthe oryzae (M. oryzae) resistance and the seed setting rate in rice. In addition, weaker M. oryzae-induced ROS production and expression of the defense genes OsO4g10010, OsWRKY45, OsNAC4, and OsPR3 was observed in osjaz4 compared to Nipponbare (NPB); also, the jasmonic acid (JA) and gibberellin4 (GA4) content was significantly lower in osjaz4 than in NPB. Moreover, osjaz4 exhibited a phenotype featuring a reduced seed setting rate. These observations highlight the involvement of OsJAZ4 in the regulation of JA and GA4 content, playing a positive role in regulating the rice blast resistance and seed setting rate.
作者机构：
[Du, Yuxia] Guangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510000, Guangdong, Peoples R China.;[Li, Mingjie; Du, Yuxia] Guangzhou Huashang Coll, Sch Econ & Trade, Guangzhou 510000, Guangdong, Peoples R China.;[Li, Mingjie] Cent South Univ Forestry & Technol, Sch Econ, Changsha 410000, Peoples R China.
通讯机构：
[Li, MJ ] G;Guangzhou Huashang Coll, Sch Econ & Trade, Guangzhou 510000, Guangdong, Peoples R China.;Cent South Univ Forestry & Technol, Sch Econ, Changsha 410000, Peoples R China.
关键词：
Digital transformation;carbon emission;technological progress;total factor productivity
摘要：
At present, on the one hand, domestic enterprises carry out digital transformation one after another due to the pressure of survival and development, and on the other hand, due to environmental regulations, enterprises are facing the pressure of carbon emission reduction. This paper discusses the impact of enterprises' digital transformation on carbon emissions and finds that enterprises' digital transformation will increase carbon emissions, mainly because technological progress will bring about more extensive use of computers in production services, and the use of fossil energy will increase carbon emissions before the energy structure is effectively improved. Even if enterprises' digital transformation can improve of total factor productivity, it is difficult to offset the increase in carbon emissions caused by the use of more fossil energy. In addition, it is also found that for state-owned enterprises, the carbon emission pressure brought about by digital transformation is higher than that of non-state-owned enterprises; environmental regulation can significantly restrain carbon emissions. This study reveals the real impact of enterprises' digital transformation on carbon emissions and provides a direction for enterprises to implement digital transformation and carbon emission reduction.
期刊：
Environmental Science and Pollution Research,2024年31(10):14503-14536 ISSN：0944-1344
通讯作者：
Wang, ZX
作者机构：
[Fu, Xiaohua; Jiang, Jie] Cent South Univ Forestry & Technol, Ecol Environm Management & Assessment Ctr, Changsha 410004, Peoples R China.;[Wang, Zhenxing; Chen, Jianyu; Jiang, Jie; Liu, Chang] Minist Ecol & Environm, South China Inst Environm Sci, State Environm Protect Key Lab Water Environm Simu, Guangzhou 510655, Peoples R China.;[Wu, Xie] China Railway Water Informat Technol Co LTD, Nanchang 330000, Peoples R China.;[Huang, Lei] Guangzhou Univ, Sch Environm Sci & Engn, Guangzhou 510006, Peoples R China.;[Han, Rui] China Environm Publishing Grp, Beijing 100062, Peoples R China.
通讯机构：
[Wang, ZX ] M;Minist Ecol & Environm, South China Inst Environm Sci, State Environm Protect Key Lab Water Environm Simu, Guangzhou 510655, Peoples R China.
关键词：
Deep learning;Machine learning;Water resources management;Water environment protection;Water ecology
摘要：
The breathtaking economic development put a heavy toll on ecology, especially on water pollution. Efficient water resource management has a long-term influence on the sustainable development of the economy and society. Economic development and ecology preservation are tangled together, and the growth of one is not possible without the other. Deep learning (DL) is ubiquitous in autonomous driving, medical imaging, speech recognition, etc. The spectacular success of deep learning comes from its power of richer representation of data. In view of the bright prospects of DL, this review comprehensively focuses on the development of DL applications in water resources management, water environment protection, and water ecology. First, the concept and modeling steps of DL are briefly introduced, including data preparation, algorithm selection, and model evaluation. Finally, the advantages and disadvantages of commonly used algorithms are analyzed according to their structures and mechanisms, and recommendations on the selection of DL algorithms for different studies, as well as prospects for the application and development of DL in water science are proposed. This review provides references for solving a wider range of water-related problems and brings further insights into the intelligent development of water science.
通讯机构：
[Wan, YD ] C;Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.
关键词：
evaporative cooling;solar energy;mathematical models;hybrid system;sustainable development
摘要：
Recent advancements in single-stage evaporative cooling (EC) have showcased their effectiveness as an energy-efficient and sustainable air-conditioning (AC) solution. However, several challenges hinder the widespread adoption of EC in various applications. These challenges include climate sensitivity, substantial spatial requirements, and limitations in achieving desired output temperatures. To address these concerns, there has been a growing focus on integrating EC with solar energy (SE) systems. With traditional energy resources being depleted, the use of SE has gained prominence as a sustainable solution to meet future energy demands while mitigating environmental pollution. This paper presents a comprehensive review of hybrid EC-SE systems, aiming to elucidate the potential synergies, benefits, and challenges associated with this integration. The review explores the principles and mathematical approaches of various configurations of EC systems to assess their compatibility with SE sources. Furthermore, the review delves into the mathematical model of SE, encompassing both solar power generation and thermal collectors, with the aim of integrating it into the EC model. It delves into key aspects of energy consumption and performance, showcasing advancements in achieving higher efficiency and enhanced cooling capacity through the hybrid systems. Additionally, the review highlights research gaps in the existing literature, emphasizing the need for further exploration in this interdisciplinary field. In conclusion, this paper offers valuable insights into the potential of EC-SE systems to address energy and cooling requirements while promoting sustainable development.
关键词：
classification;attention module;infection severity;color space
摘要：
In this paper, a lightweight convolutional neural network model is proposed to diagnose the disease severity of tomato infection. Different regions of tomato leaf image had obvious threshold differences in Lab color space, and the grading label of disease infection degree of each tomato leaf image was obtained. At the same time, in order to solve the problems of low efficiency and general recognition accuracy of artificial recognition of tomato leaf diseases, and unable to accurately judge the tomato disease grade, this paper proposed a new method based on lightweight convolutional neural network, which selected ShuffleNet V2 as the backbone and applied Attention mechanisms that coordinate channel and spatial bidirectional perception. The results of a large number of cross-validation experiments showed that the accuracy of the network structure in classifying the severity of four common tomato leaf diseases and one healthy leaf infection was 91.817%, and the average accuracy was 85.496%.
