作者机构：
Authors to whom correspondence should be addressed.;College of Materials Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China;College of Forestry, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China;[Wu, Lei; Liang, Lin-Fu] Authors to whom correspondence should be addressed.<&wdkj&>College of Materials Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China<&wdkj&>College of Forestry, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China;[Ge, Zeng-Yue; Xue, Jun; Chen, Jun-Kun; Liao, Xiao-Wen] College of Materials Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China<&wdkj&>College of Forestry, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China
通讯机构：
[Lei Wu; Lin-Fu Liang] A;Authors to whom correspondence should be addressed.<&wdkj&>College of Materials Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China<&wdkj&>College of Forestry, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha 410004, China
摘要：
Whitfordiodendron filipes var. tomentosum is an endemic plant in China. There have been no chemical or pharmacological studies of this plant reported before. In the current research, eight triterpenes and two steroids were obtained. Their structures were established by the analysis of NMR data and comparison with those reported in the literature. These ten structurally diverse compounds comprised five distinct carbon frameworks with different functionalities. The chemotaxonomic significance of these secondary metabolites was discussed, disclosing the common components between the variant W. filipes var. tomentosum and the species W. filipe. Evaluation of α-glucosidase inhibitory activities of these isolates disclosed that compounds 1, 2, 4, and 6 exhibited significant α-glucosidase inhibitory activities (IC(50) = 16.6-19.2 μM), which were close in value to the positive control acarbose (IC(50) = 11.5 μM). Moreover, the binding modes between the biologically active compounds 1, 2, 4, and 6 and the α-glucosidase protein were preliminarily studied using molecular docking. This study not only showed the chemical and biological profile of the plant W. filipes var. tomentosum but also revealed that these components could be developed as hypoglycemic lead compounds.
摘要：
Firmiana danxiaensis (F. danxiaensis) is a special native species with a narrow distribution. More than 90 % of the plant species in the genus that F. danxiaensis belongs to are rare species with a narrow distribution. The main distribution area is Mount Danxia, a representative area of China Danxia where many endemic species of the Danxia landform have been bred. We carried out a gap analysis by overlapping the nature reserves with the potential habitat of F. danxiaensis. The results show that: (1) the potential habitat area of F. danxiaensis is 6,255.28 km(2) simulated by the Biomod2 ensemble model and 4,114.19 km(2) by Maxent, respectively, which accounted for 3.48 % and 2.29 % of the study area, located in Nanxiong county, Shixing county, Renhua county, and Qujiang county; (2) F. danxiaensis prefers areas with the max temperature of the warmest month over 32.5degree celsius, the temperature seasonality between 6000 and 7000, and the occurrence probability of F. danxiaensis was at its highest level when the max temperature of the warmest month reached between 36 and 37 degrees C, the temperature seasonality was nearly 7000; (3) more than 40 % of the potential habitat of F. danxiaensis was anthropogenically disturbed; (4) in the potential habitat simulated by Maxent, the conservation gap area is 3,390.26 km(2), accounting for 82.40 % of the total potential habitat, in the potential habitat simulated by Biomod2 ensemble model, the conservation gap area is 4.899.62 km(2), accounting for 78.33 % of the total potential habitat. The protection status of F. danxiensis is poor, with populations of F. danxiaensis in Yingde and Shixing not covered by nature reserves and already subject to serious human disturbance. It is recommended that the structure of existing protected areas be adjusted, the scope of corresponding nature reserves be appropriately expanded, and new nature reserves be added to ensure the sustainable development of F. danxiaensis populations.
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.
期刊：
Science of The Total Environment,2024年922:171245 ISSN：0048-9697
通讯作者：
Zeng, Peng;Zhou, Hang
作者机构：
[Liao, Bohan; Zeng, Peng; Liao, Ye; Liu, Jiawei; Gu, Jiaofeng; Ni, Li; Zhou, Hang] College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China;[Zeng, Peng] Hunan Engineering and Technology Research Center for Soil Pollution Remediation and Carbon Sequestration, Changsha 410004, China. Electronic address: zengzengpp@foxmail.com;[Zhou, Hang] Hunan Engineering and Technology Research Center for Soil Pollution Remediation and Carbon Sequestration, Changsha 410004, China. Electronic address: zhouhang4607@163.com;[Wang, Yun] College of Life and Environmental Science, Hunan University of Arts and Science, Changde 415000, China;[Liao, Bohan; Gu, Jiaofeng] Hunan Engineering and Technology Research Center for Soil Pollution Remediation and Carbon Sequestration, Changsha 410004, China
通讯机构：
[Hang Zhou] C;Hunan Engineering and Technology Research Center for Soil Pollution Remediation and Carbon Sequestration, Changsha 410004, China. Electronic address:
关键词：
Cd and As pollution soil;Compound passivator coupled with foliar spraying and soil applying Si fertilizer;Health risk evaluation;Rice
摘要：
Cadmium (Cd) and arsenic (As) are precedence-controlled contaminants in paddy soils, that can easily accumulate in rice grains. Limestone and sepiolite (LS) compound passivator can obviously reduce Cd uptake in rice, whereas Si fertilizer can effectively decrease rice As uptake. Here, the synergistic effects of the LS compound passivator coupled with Si fertilizer (LSCS) on the soil pH and availability of Si, Cd, and As, as well as rice grain Cd and As accumulation and its health risk were studied based on a 3-year consecutive field experiment. The results showed that the LSCS performed the best in terms of synchronously decreasing soil Cd and As availability and rice Cd and As uptake. In the LSCS treatments, soil pH gradually decreased with the rice-planting season, while soil available Cd and As contents gradually increased, suggesting that the influence of LSCS on Cd and As availability gradually weakened with rice cultivation. Nonetheless, the contents of Cd and inorganic As (i-As) in rice grains treated with LSCS were slightly affected by cultivation but were significantly lower than the single treatments of LS compound passivator or Si fertilizer. According to the Cd and As limit standards in food (GB2762-2022), the Cd and i-As content in rice grains can be lowered below the standard by using the 4500kg/hm(2) LS compound passivator coupled with 90kg/hm(2) Si fertilizer in soil and spraying 0.4g/L Si fertilizer on rice leaves for at least three years. Furthermore, health risk evaluation revealed that LSCS treatments significantly reduced the estimated daily intake, annual excess lifetime cancer risk, and hazard quotient of Cd and i-As in rice grains. These findings suggest that LSCS could be a viable approach for reducing Cd and As accumulation in rice grains and lowering the potential health risks associated with rice.
摘要：
With the rapid growth of Internet data, recommendation systems have become the basic technology to alleviate information overload. The session-based recommendation (SBR) is a challenging task, and its purpose is to predict user behavior based on anonymous sessions. The existing SBR methods need to be improved in capturing the complex conversion relationship of items. In contrast, Graph Neural Network (GNN) can capture the complex conversion between items by modeling sessions as graph structure data. However, current methods just sort the clicked items within a session based on time, without utilizing the temporal information between sessions, leading to poor recommendation performance. To improve the accuracy of session recommendation (SR), we propose an SBR model based on GNN with Combined Temporal (CT-GNN) information. The proposed CT-GNN model is built based on the time of session occurrence, and it can learn the temporal association relationship between session items to enrich the connection between items. More importantly, based on the diversity problem faced by current SRs, which refers to the tendency of users to engage with popular items and resulting in limited exposure for other items, the CT-GNN model uses the Local Item Representation Learning (LIRL) module to learn users' local preferences. Through the LIRL module, the CT-GNN can capture users' interests, boost item exposure, and increase recommendation diversity. The experimental results show that the CT-GNN model is superior to the state-of-the-art SBR methods, with MRR scores 1.1 %∼3.4 % higher than the best-performing baseline; recall scores 0.9 %∼2.3 % higher than the best-performing baseline, and alleviates the diversity problem faced by SR, greatly improving the speed of model convergence, and the training time is 13.6 %∼20.7 % of the best-performing baseline.
作者机构：
[Rui Li; Lin Li; Weiwei Cai] College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, China;[Renxiang Guan] College of Computer, National University of Defense Technology, Changsha, Hunan 410073, China;[Yanfeng Wang] College of System Engineering, National University of Defense Technology Changsha, Hunan 410073, China;[Haiwen Xu] Hunan Forest Grassland Fire Prevention Monitoring, Dispatching and Evaluation Center, Hunan, China;[Liujun Li] Department of Soil and Water Systems, University of Idaho, 83844, USA
通讯机构：
[Lin Li] C;College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, China
摘要：
Smoke is an early manifestation of forest fire. Accurate identification of smoke from forest fires is crucial for the prevention and control of forest fires, which helps protect the ecological environment and the safety of people. The texture features of smoke are complex and prone to detection omissions. The forest environment is complex, and smoke-like objects in the forest often interfere with smoke recognition. The concentration of smoke at the edge is thin, which easily leads to edge omission. In response to these problems, we propose a high-precision edge focused forest fire smoke detection network. To begin, in response to the problem of detection omission, we present a Swin multidimensional window extractor (SMWE) that enhances information exchange between windows in both horizontal and vertical dimensions to extract global texture features from images with smoke. Then, the guillotine feature pyramid network (GFPN) is suggested, along with a new guillotine convolution method for reducing redundant feature information from a feature fusion perspective, thereby improving the anti-interference ability of the model. Finally, taking into account the thinness and irregularity of the smoke near the borders, a contour adaptive loss function is suggested to minimize the boundary blur caused by down-sampling the feature map in the network. The experimental and application results show that SMWE-GFPNNet accomplishes 80.92 % of the mAP, 90.01 % of the mAP50, and 83.38 % of the mAP75 on the Forest Fire Smoke Complex Background Detection Dataset. Excellent in anti-interference ability and accuracy.
期刊：
Journal of Physics D: Applied Physics,2024年 ISSN：0022-3727
作者机构：
[Yufei Liu] Guilin University of Technology, Guilin University of Technology, Guilin, 541004, CHINA;[Jianting Lin; Xiaoliang Liu] Central South University, Central South University, Changsha, Hunan, 410083, CHINA;[Qiang Han; Chenggang Yang] Central South University, Central South University, Changsha, 410083, CHINA;[Lin Li] College of Computer and Information Engineering, Central South University of Forestry and Technology Changsha Campus, South Shanshan Road, Changsha, 410004, CHINA;[Jianrong Xiao] College of Science, Guilin University of Technology, Guilin University of Technology, Guilin, 541004, CHINA
摘要：
The humidity stability and phase transition mechanism of the all-inorganic perovskite CsPbI2Br based on an optimized dual-source co-evaporation preparation process are investigated at the film interface level. It is found that the CsPbI2Br films annealed at 300℃ exhibit a best crystallinity and photoelectric properties. The as-grown CsPbI2Br film is confirmed to be a α phase with a dark brown cubic crystal structure and an average visible transparency of 35.9%. But it will be transformed into its δ phase with a transparent orthorhombic crystal structure and an average visible transparency of 80.3% after a certain amount of moisture exposure. Compared with the α phase film, the electronic structure of the δ phase has also changed significantly with a VBM shift of about 0.32 eV to high binding energy. The results of AR-XPS show that the water molecules in perovskite CsPbI2Br after a moisture exposure only adsorb on the surface rather than penetrate the interior of the lattice. When water molecules adsorb on the lattice surface, halide ions should migrate towards the lattice surface due to their high hydration enthalpy, resulting in halide vacancies within the lattice and causing the reduction of energy barrier for phase transition from α phase to δ phase. So the CsPbI2Br film will transform from its α phase to δ phase induced by water vapor, and this phase transition will be reversed to some extent after another annealing.
作者机构：
[Lili Pan; Weizhi Shao; Siyu Xiong; Qianhui Lei] College of Computer Science and Information Technology, Central South University of Forestry and Technology, Changsha 410114, China;[Shiqi Huang; Eric Beckman] Chaplin School of Hospitality and Tourism Management, Florida International University, North Miami 33181, USA;[Qinghua Hu] School of Artificial Intelligence, Tianjin University, Tianjin 300072, China
通讯机构：
[Weizhi Shao] C;College of Computer Science and Information Technology, Central South University of Forestry and Technology, Changsha 410114, China
摘要：
Recently, emotion recognition from facial expressions has achieved unprecedented accuracy with the development of deep learning. Despite this progress, most existing emotion recognition methods are supervised and thus require extensive annotation. This issue is particularly pronounced in continuous domain datasets where annotation costs are very high. Furthermore, discrete domain datasets containing specific poses are too uniform to reflect complex and actual emotions. Existing methods that employ classification loss pay little attention to image similarity, making it difficult to distinguish similar emotions. To improve the learning ability for image similarity and reduce the annotation cost of continuous domain datasets, this research proposes a Semi-Supervised Emotion Recognition (SSER) method, which incorporates Activation-matrix Triplet loss (AMT loss) and pseudo label with Complementary Information (CI label). Specifically, the AMT loss is constructed by encoding multiple activation channels of an image as a matrix, which are utilized to capture the image similarity. The CI label firstly adopts the coupling effect of the complementary information from images and the multi-stage model for SSL to obtain high-confidence pseudo-labels. Then, entropy minimization and consistency regularization are used to improve the accuracy of pseudo labels. The SSER is evaluated on continuous domain datasets (AFEW-VA and AFF-Wild) and discrete domain datasets (FER2013 and CK+). The experimental results demonstrate that the SSER combined with AMT loss and CI label makes improvement for emotion recognition on continuous domain datasets, meanwhile the SSER is also desirable and effective for emotion recognition on discrete domain datasets.
作者机构：
[Gen-Hua Liu; Jin-Xiang Yan] College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, People's Republic of China
摘要：
The spin polarization of current plays an important role in the performance of spintronic devices. Therefore, a highly spin-polarized current source has always been explored through various methods. We study the effects of magnetic order on the electronic structures of antiferromagnetic (AFM) MnBi2Te4 films. A significant spin splitting is found in the surface states of a AFM MnBi2Te4 film with three septuple layers (SLs). The AFM film can show typical metallic behavior for spin-down electrons, and exhibit a semiconductor or insulator behavior with a band gap at the Fermi level for spin-up electrons, just like semimetal ferromagnets with theoretical spin polarization up to 100%. We also study that the electron transport in the 3-SLs AFM film with a square potential barrier, we find a highly spin-polarized current can be switched on and off by modulating the barrier height in the film.
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.
作者机构：
[Hongzhi Li; Lin Tang; Shengwei Chen; Libin Zheng] School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China;Author to whom correspondence should be addressed.;[Shaohong Zhong] School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
通讯机构：
[Shaohong Zhong] S;School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
Age of Information;resource scheduling;Industrial Internet of Things;deep reinforcement learning
摘要：
Effective resource scheduling methods in certain scenarios of Industrial Internet of Things are pivotal. In time-sensitive scenarios, Age of Information is a critical indicator for measuring the freshness of data. This paper considers a densely deployed time-sensitive Industrial Internet of Things scenario. The industrial wireless device transmits data packets to the base station with limited channel resources under the constraints of Age of Information. It is assumed that each device has the capacity to store the packets it generates. The device will discard the data to alleviate the data queue backlog when the Age of Information of the data packet exceeds the threshold. We developed a new system utility equation to represent the scheduling problem and the problem is expressed as a trade-off between minimizing the average Age of Information and maximizing network throughput. Inspired by the success of reinforcement learning in decision-processing problems, we attempt to obtain an optimal scheduling strategy via deep reinforcement learning. In addition, a reward function is constructed to enable the agent to achieve improved convergence results. Compared with the baseline, our proposed algorithm can achieve better system utility and lower Age of Information violation rate.
期刊：
Construction and Building Materials,2024年411:134825 ISSN：0950-0618
通讯作者：
Sun, DL
作者机构：
[Zou, Weihua; Wang, Zhangheng] Cent South Univ Forestry & Technol, Coll Furniture & Art Design, Changsha 410004, Hunan, Peoples R China.;[Sun, Delin; Song, Ling; Sun, Zhenyu; Zhao, Shan; Liu, Wenshuang; Yu, Minggong; Zou, Weihua; Liu, Fang; Wang, Zhangheng] Cent South Univ Forestry & Technol, Coll Mat Sci & Engn, Changsha 410004, Hunan, Peoples R China.;[Sun, Delin; Sun, DL] 498 Shaoshan South Rd, Changsha, Hunan, Peoples R China.
通讯机构：
[Sun, DL ] 4;498 Shaoshan South Rd, Changsha, Hunan, Peoples R China.
关键词：
Superhydrophobic wood;Wet chemical method;Wettability;Bond strength;Interface modification
摘要：
Superhydrophobic modification transforms the wood surface into a non-wetting state, which hinders the effective spreading and penetration of the adhesive at the gluing interface. In this study, a wet chemical method was used to optimize the wettability of the glued interface of superhydrophobic wood (S-wood) through NaOH@KH-550 synergistic treatment. The method can improve the structrue and chemical condition to increase the adsorption capacity of the wood surface for the adhesive, and the bond strength of S-wood increased to 3.21 MPa, which was beneficial to the efficient use of S-wood in construction and furniture fields.
摘要：
The "Annual Report 2021" from the United Nations Environment Programme (UNEP) highlights that the transportation sector is the fastest-growing greenhouse gas emissions sector, accounting for approximately 25% of energy-related emissions. What is even more concerning is that, at a time when carbon emissions need to be urgently reduced across various industries globally, carbon emissions from the transportation sector continue to rise. This is because the improvement in the efficiency of vehicle power combustion struggles to offset the increasing emissions resulting from the massive volume of travel. With the enhancement of transportation networks in various countries, it is projected that the growth rate of carbon emissions in the transportation sector will surpass that of the industrial and power sectors, presenting a significant challenge to achieving the emission reduction goals outlined in the Paris Agreement. Carbon emissions in the global transportation sector encompass various modes of transportation, including road, rail, aviation, and maritime, with road transportation being the largest contributor to carbon emissions. This study utilized the Stacking technique to build the X-MARL model for predicting
$$\hbox {CO}_{2}$$
emissions from vehicles and formulated recommendations for carbon reduction in the transportation industry. The model was tested using a dataset of vehicle
$$\hbox {CO}_{2}$$
emissions officially recorded by the Canadian government, comprising 7385 data points and covering 12 different vehicle parameter attributes. During the experimentation process, three statistical evaluation metrics were employed, namely mean squared error (MSE), root-mean-squared error (RMSE), and the coefficient of determination (R2). The dataset was randomly split into a training set (80% of the total data) and a testing set (20% of the total data). The experimental results demonstrated that the X-MARL model exhibited the highest prediction accuracy. This study provides an original strategy for accurately predicting carbon emissions from road transportation, which can offer support and guidance to decision-makers in formulating and implementing effective environmental policies.
期刊：
Economic Analysis and Policy,2024年 ISSN：0313-5926
通讯作者：
Yi Fan
作者机构：
[Yi Fan] College of Economics, Central South University of Forestry and Technology, Changsha, CHINA;Allameh Tabataba'i University, Tehran, Iran;Trade Promotion Organization of Iran, IRAN;[Omid Ranjbar] Allameh Tabataba'i University, Tehran, Iran<&wdkj&>Trade Promotion Organization of Iran, IRAN
通讯机构：
[Yi Fan] C;College of Economics, Central South University of Forestry and Technology, Changsha, CHINA
摘要：
Energy security is affected by extreme natural, human, domestic political, geopolitical, and fossil energy price shocks/events and green energy policies. The degree of persistence in energy security determines the magnitudes of social, economic, and environmental outcomes of the shocks/policies. In this paper, we examined the degree of persistence in energy security of G7 countries using a new proxy namely the energy security risk index, and a novel second-generation panel quantile unit root test over the period 1980-2018. In addition, we applied the sequential panel selection method (SPSM), to identify the stationary members within each quantile. Our results indicated the stochastic properties of the energy security risk indexes vary across the quantile and the countries. Among the G7 countries, the energy security risk index of the US displays unit root process within all quantiles. While the energy security risk indexes of other countries display stationary processes, especially within high quantiles. Our results have important policy implications regarding the effectiveness of green policies in improving the energy security of the G7 countries and the disturbance effects of anti-energy security shocks. According to our findings, the US has to constantly pursue the risks that threaten the country's energy system while other G7 countries likely do not have such severe concerns about shocks affecting energy security, and these shocks have a short-term effect on their energy security.
