期刊：
Separation and Purification Technology,2024年341:126909 ISSN：1383-5866
通讯作者：
Huang, Chao;Wang, P
作者机构：
[Wang, Ping; Wei, Jie; Huang, Chao; Wu, Qingyu; Tian, Haoran; Wu, Qiuju; Xu, Haiyin; Sun, Chengyou] Cent South Univ Forestry & Technol, Coll Environm Sci & Engn, Changsha 410004, Peoples R China.;[Zhang, Ruimei] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.;[Liu, Zhiming] Eastern New Mexico Univ, Dept Biol, Portales, NM 88130 USA.
通讯机构：
[Wang, P ; Huang, C] C;Cent South Univ Forestry & Technol, Coll Environm Sci & Engn, Changsha 410004, Peoples R China.
关键词：
Cr(VI);Carbon nanotubes;Nano zero-valent iron (nZVI);Shewanella oneidenis MR-1;Electron transfer
摘要：
Nano zero-valent iron (nZVI) has been widely employed for the elimination of heavy metals from wastewater. However, the practical application of nZVI is greatly limited due to its fast aggregation and surface passivation. In this study, a carbon nanotube-supported nZVI composite (nZVI@CNTs) was synthesized and coupled with Shewanella oneidensis MR -1 to enhance the removal of Cr(VI) from aqueous media. The results demonstrated that the coupling of nZVI@CNTs and MR -1 (nZVI@CNTs/MR-1) exhibited superior performance in eliminating Cr(VI) compared to using nZVI@CNTs or MR -1 alone. Electrochemical characterization demonstrated that CNTs acting as electron shuttles improve the electron transfer from MR -1 to nZVI, thus facilitating the passivation layer dissolution. XRD analysis proved that MR -1 can effectively promote the dissolution of the Fe(III) passivation layer with the existence of CNTs. FTIR and XPS analyses confirmed that CNTs contain many functional groups (such as C - C and C = O) related to extracellular electron transfer, thus promoting the electron transfer of MR -1 to nZVI. Three-dimensional excitation -emission matrix (3D-EEM) analysis showed that the extracellular polymeric substances (EPS) generated from MR -1 participated in the Cr(VI) elimination. The mechanism analysis demonstrated the Fe(II) dissolved from the nZVI passivation layer reduces Cr(VI) to Cr(III) and then removes it by co -precipitation, and the EPS secreted by MR -1 also participates in the Cr(VI) adsorption and reduction. Generally, the coupling of nZVI@CNTs and MR -1 successfully addresses the drawbacks of nZVI and demonstrates a remarkable ability to remove Cr(VI).
作者机构：
[Liu, Zili; Hu, Xinjiang; Tian, Haoran; Xu, Haiyin; Sun, Chengyou; Zhu, Jian] College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China;[Huang, Chao] College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China. Electronic address: huangchao@csuft.edu.cn;[Wang, Ping] College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China. Electronic address: pingwang@csuft.edu.cn;[Yin, Jinglin] College of Science, Central South University of Forestry and Technology, Changsha 410004, China;[Liu, Zhiming] Department of Biology, Eastern New Mexico University, Portales, NM 88130, USA. Electronic address: zhiming.liu@enmu.edu
通讯机构：
[Liu, Zhiming] D;[Huang, Chao; Wang, Ping] C;College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China. Electronic address:;Department of Biology, Eastern New Mexico University, Portales, NM 88130, USA. Electronic address: zhiming.
摘要：
Fly ash (FA) and eggshells (ES) are common solid wastes with significant potential for the recovery of phosphorus from water. This study focuses on synthesizing a low-cost and environmental-friendly phosphate adsorbent called eggshell-fly ash geopolymer composite (EFG) using eggshells instead of chemicals. The CaO obtained from the high-temperature pyrolysis of eggshells provides active sites for phosphate adsorption, and CO(2) serves as a pore-forming agent. The phosphate adsorption performance of EFG varied with the eggshell-fly ash ratios and achieved a maximum of 49.92 mg P/g at an eggshell-fly ash ratio of 40 %. The adsorption process was well described by the pseudo-second-order model and the Langmuir model. EFG also exhibited a good regeneration performance through six-cycle experiments and achieved the highest phosphate desorption at pH 4.0. The results of the column experiment showed that EFG can be used as a filter media for phosphorus removal in a real-scale application with low cost. Soil burial test indicated saturated EFG has a good phosphate slow-release performance (maintained for up to 60 days). Overall, EFG has demonstrated to be a promising adsorbent for phosphorus recovery.
摘要：
Microplastics (MPs), a new type of pollutant, have attracted much attention worldwide. MPs are often complexed with other pollutants such as heavy metals, resulting in combined toxicity to organisms in the environment. Studies on the combined toxicity of MPs and heavy metals have usually focused on the marine, while on the freshwater are lacking. In order to understand the combined toxic effects of MPs and heavy metals in the freshwater, five typical MPs (PVC, PE, PP, PS, PET) were selected to investigate the adsorption characteristics of MPs to Pb(2+) before and after the MPs aging by ultraviolet (UV) irradiation through static adsorption tests. The results showed that UV aging enhanced adsorption of Pb(2+) by MPs. It is noteworthy that MPs-PET had the highest adsorption capacity for Pb(2+), and the interaction between MPs-PET and Pb(2+) was the strongest. We specifically selected MPs-PET to study its combined toxicity with Pb(2+) to Chlorella pyrenoidosa. In the combined toxicity test, MPs-PET and Pb(2+) had significant toxic effects on Chlorella pyrenoidosa in the individual exposure, and the toxicity of individual Pb(2+) exposure was greater than that of individual MPs-PET exposure. In the combined exposure, when MPs-PET and Pb(2+) without adsorption (MPs-PET/Pb(2+)), MPs-PET and Pb(2+) had a synergistic effect, which would produce strong physical and chemical stress on Chlorella pyrenoidosa simultaneously, and the toxic effect was the most significant. After the adsorption of MPs-PET and Pb(2+) (MPs-PET@Pb(2+)), the concentration and activity of Pb(2+) decreased due to the adsorption and fixation of MPs-PET, and the chemical stress on Chlorella pyrenoidosa was reduced, but the physical stress of MPs-PET still existed and posed a serious threat to the survival of Chlorella pyrenoidosa. This study has provided a theoretical basis for further assessment of the potential environmental risks of MPs in combination with other pollutants such as heavy metals.
摘要：
Thus far, the available works on sequencing flexibility in shop floor scheduling only consider the sequencing flexibility with serial operation constraint. However, the sequencing flexibility with discrete and hybrid operation constraints are also widely existed in the actual production and have significant impact on production efficiency. Therefore, this work proposes a distributed flexible job shop scheduling problem considering integrated sequencing flexibility (DFJSPS), in which the serial, discrete and hybrid operation constraints are considered simultaneously. A mixed integer linear programming model is proposed to solve the DFJSPS by using the CPLEX solver. Then, an efficient memetic algorithm (EMA) is designed with the objectives of minimizing makespan and total energy consumption. In the EMA, a five-layer coding method and an efficient initialization method are presented to obtain high quality initial solutions; and an efficient local search operator is designed to help the algorithm to improve its convergence speed. Comprehensive experiments show that the EMA outperforms other three well-known algorithms in most of the instances, demonstrating the superior performance of EMA for solving DFJSPS in terms of both computational efficiency and solution quality. In summary, the research fills the research gap on integrated sequencing flexibility in the field of shop floor scheduling; on the other hand, it can help production managers to obtain the efficient scheduling schemas in the decision-making systems about various types of sequencing flexibility.
摘要：
Deep hashing cross-modal image-text retrieval has the advantage of low storage cost and high retrieval efficiency by mapping different modal data into a Hamming space. However, the existing unsupervised deep hashing methods generally relied on the intrinsic similarity information of each modal for structural matching, failing to fully consider the heterogeneous characteristics and semantic gaps of different modalities, which results in the loss of latent semantic correlation and co-occurrence information between the different modalities. To address this problem, this paper proposes an unsupervised deep hashing with multiple similarity preservation (UMSP) method for cross-modal image-text retrieval. First, to enhance the representation ability of the deep features of each modality, a modality-specific image-text feature extraction module is designed. Specifically, the image network with parallel structure and text network are constructed with the vision-language pre-training image encoder and multi-layer perceptron to capture the deep semantic information of each modality and learn a common hash code representation space. Then, to bridge the heterogeneous gap and improve the discriminability of hash codes, a multiple similarity preservation module is builded based on three perspectives: joint modal space, cross-modal hash space and image modal space, which aids the network to preserve the semantic similarity of modalities. Experimental results on three benchmark datasets (Wikipedia, MIRFlickr-25K and NUS-WIDE) show that UMSP outperforms other unsupervised methods for cross-modal image-text retrieval.
摘要：
Solid-state LiDARs have become an important perceptual device for simultaneous localization and mapping (SLAM) due to its low-cost and high-reliability compared to mechanical LiDARs. Nevertheless, existing solid-state LiDARs-based SLAM methods face challenges, including drift and mapping inconsistency, when operating in dynamic environments over extended periods and long distances. To this end, this paper proposes a robust, high-precision, real-time LiDAR-inertial SLAM method for solid-state LiDARs. At the front-end, the raw point cloud is segmented to filter dynamic points in preprocessing process. Subsequently, features are extracted using a combination of Principal Component Analysis (PCA) and Mean Clustering to reduce redundant points and improve data processing efficiency. At the back-end, a hierarchical fusion method is proposed to improve the accuracy of the system by fusing the feature information to iteratively optimize the LiDAR frames, and then adaptively selecting the LiDAR keyframes to be fused with the IMU. The proposed method is extensively evaluated using a Livox Avia solid-state LiDAR collecting datasets on two different platforms. In experiments, the end-to-end error is reduced by 35% and the single-frame operational efficiency is improved by 12% compared to LiLi-OM.
作者机构：
[She, Kang; Sheng, Guo; Shan, Zhengping; Xu, Piaorong; Liu, Exian] China College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
通讯机构：
[Exian Liu] C;China College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
关键词：
Attenuation coefficient;Chemical vapor deposition;Finite element method;Graphene;Nonlinear effects;Thin films
摘要：
Controlling the output light-intensity and realizing the light-switch function in hollow-core anti-resonant fibers (HC-ARFs) is crucial for their applications in polarizers, lasers, and sensor systems. Here, we theoretically propose a hybrid light-intensity-tunable HC-ARF deposited with the sandwiched graphene/hexagonal boron nitride/graphene based on the typical six-circular-tube and the nested structures. Changing the external drive voltage from 12.3 to 31.8 V, the hybrid HC-ARF experiences a high-low alterative attenuation coefficient with a modulation depth 3.87 and 1.91 dB/cm for the six-circular-tube and nested structures respectively, serving as a well-performance light-switch at the optical communication wavelength of 1.55 µm. This response is attributed to the variation of the Fermi level of graphene and is obviously influenced by the core size, fiber length, and the number of graphene and hBN layers. Moreover, one attenuation dip of the modulation depth was found because of the epsilon-near-zero effect in graphene. Our design provides a feasible paradigm for integrating graphene with anti-resonant fibers and high-performance electro-optic modulators.
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：
[Qin, Jiaohua; Li, Chunzhi; Tan, Yun; Wang, Zhenxu] Central South University of Forestry and Technology, Hunan, China;[Li, Jingyu; Tan, Ling; Deng, Chao; Tang, Hao] The Second Xiangya Hospital of Central South University, Hunan, China
摘要：
BACKGROUND: Aortic dissection refers to the true and false two-lumen separation of the aortic wall, in which the blood in the aortic lumen enters the aortic mesomembrane from the tear of the aortic intima to separate the mesomembrane and expand along the long axis of the aorta. PURPOSE: In view of the problems of individual differences, complex complications and many small targets in clinical aortic dissection detection, this paper proposes a convolution neural network MFF-FPN (Multi-scale Feature Fusion based Feature Pyramid Network) for the detection of aortic dissection complications. METHODS: The proposed model uses Resnet50 as the backbone for feature extraction and builds a pyramid structure to fuse low-level and high-level feature information. We add an attention mechanism to the backbone network, which can establish inter-dependencies between feature graph channels and enhance the representation quality of CNN. RESULTS: The proposed method has a mean average precision (MAP) of 99.40% in the task of multi object detection for aortic dissection and complications, which is higher than the accuracy of 96.3% on SSD model and 99.05% on YoloV7 model. It greatly improves the accuracy of small target detection such as cysts, making it more suitable for clinical focus detection. CONCLUSIONS: The proposed deep learning model achieves feature reuse and focuses on local important information. By adding only a small number of model parameters, we are able to greatly improve the detection accuracy, which is effective in detecting small target lesions commonly found in clinical settings, and also performs well on other medical and natural datasets.
摘要：
The ultrasensitive detection of hepatitis C virus (HCV) nucleic acid is crucial for the early diagnosis of hepatitis C. In this study, by combining Ag@Au core/shell nanoparticle (Ag@AuNP)-based surface-enhanced Raman scattering (SERS) tag with hybridization chain reaction (HCR), a novel SERS-sensing method was developed for the ultrasensitive detection of HCV nucleic acid. This SERS-sensing system comprised two different SERS tags, which were constructed by modifying Ag@AuNP with a Raman reporter molecule of 4-ethynylbezaldehyde, two different hairpin-structured HCR sequences (H1 or H2), and a detection plate prepared by immobilizinga capture DNA sequence onto the Ag@AuNP layer surface of the detection wells. When thetarget nucleic acid was present, the two SERS tags were captured on the surface of the Ag@AuNP-coated detection well to generate many "hot spots" through HCR, forming a strong SERS signal and realizing the ultrasensitive detection of thetarget HCV nucleic acid. The limit of detection of the SERS-sensing method for HCV nucleic acid was 0.47 fM, and the linear range was from 1 to 10(5) fM.
摘要：
Our results highlight the regulatory role of the negative bacterial‐fungal association in enhancing the correlation between bacterial diversity and C mineralisation. This suggests that promoting short‐term successive planting in the management of Eucalyptus plantations can mitigate the impact of this association on SOC decomposition. Taken together, our study advances the understanding of bacterial‐fungal negative associations to mediate carbon mineralisation in Eucalyptus plantations, giving us a new insight into SOC cycling dynamics in artificial forests. Abstract Bacteria and fungi are core microorganisms in diverse ecosystems, and their cross‐kingdom interactions are considered key determinants of microbiome structure and ecosystem functioning. However, how bacterial‐fungal interactions mediate soil organic carbon (SOC) dynamics remains largely unexplored in the context of artificial forest ecosystems. Here, we characterised soil bacterial and fungal communities in four successive planting of Eucalyptus and compared them to a neighbouring evergreen broadleaf forest. Carbon (C) mineralisation combined with five C‐degrading enzymatic activities was investigated to determine the effects of successive planting of Eucalyptus on SOC dynamics. Our results indicated that successive planting of Eucalyptus significantly altered the diversity and structure of soil bacterial and fungal communities and increased the negative bacterial‐fungal associations. The bacterial diversity significantly decreased in all Eucalyptus plantations compared to the evergreen forest, while the fungal diversity showed the opposite trend. The ratio of negative bacterial‐fungal associations increased with successive planting of Eucalyptus due to the decrease in SOC, ammonia nitrogen (NH4+‐N), nitrate nitrogen (NO3−‐N) and available phosphorus (AP). Structural equation modelling indicated that the potential cross‐kingdom competition, based on the ratio of negative bacterial‐fungal correlations, was significantly negatively associated with the diversity of total bacteria and keystone bacteria, thereby increasing C‐degrading enzymatic activities and C mineralisation. Synthesis and applications: Our results highlight the regulatory role of the negative bacterial‐fungal association in enhancing the correlation between bacterial diversity and C mineralisation. This suggests that promoting short‐term successive planting in the management of Eucalyptus plantations can mitigate the impact of this association on SOC decomposition. Taken together, our study advances the understanding of bacterial‐fungal negative associations to mediate carbon mineralisation in Eucalyptus plantations, giving us a new insight into SOC cycling dynamics in artificial forests.
摘要：
The utilization of bamboo as a substitute for wood or plastic signifies an imperative pathway towards achieving global sustainable development. The conduct of comprehensive and systematic research on the variations in the fundamental chemical compositions can offer scientific and theoretical guidance for the efficient and rational high-value utilization of bamboo. In this study, the variations of the content of primary chemical components in Moso bamboo (Phyllostachys pubescens) were systematically investigated by considering height and radial locations. This was achieved through using comprehensive chemical analysis and infrared spectroscopy methods, with an additional investigation into the impact of nodes on these variations. The results indicated that the fundamental chemical components of Moso bamboo consisted of cellulose, hemicelluloses and lignin. The cellulose content ranged from 36% to 40%, the hemicelluloses content ranged from 25% to 28%, and the lignin content ranged from 26% to 34%. The cellulose content decreased with increasing culm height, while it demonstrated a gradual increase during the transition from the inner to the outer layer of the wall. The cellulose content of the internodes was higher than that of the nodes. The variation in cellulose content was more pronounced in the radial direction compared to that in vertical direction. However, the hemicelluloses and lignin content in the bamboo culm showed no statistical differences. The abundant resource advantage of bamboo in China can provide a valuable resource benefit for the classification and utilization of its three fundamental chemical components. The findings derived can provide a reliable basis for establishing a scientific theoretical foundation to optimize the value-added utilization of bamboo.
作者：
Jie Ouyang;Liangliang Zhou;Yi Tian;Wanning Xiong;Lixin Wang;...
期刊：
Journal of Cleaner Production,2024年446:141503 ISSN：0959-6526
通讯作者：
Yongfeng Luo
作者机构：
[Jie Ouyang; Liangliang Zhou; Yi Tian; Wanning Xiong; Lixin Wang; Xi Ren; Qingquan Sheng; Zejun Li; Xiubo Liu; Yongfeng Luo] Hunan Province Key Laboratory of Materials Surface & Interface Science and Technology, College of Science, Material Science and Engineering School, Central South University of Forestry and Technology, Changsha, Hunan, 410004, PR China
通讯机构：
[Yongfeng Luo] H;Hunan Province Key Laboratory of Materials Surface & Interface Science and Technology, College of Science, Material Science and Engineering School, Central South University of Forestry and Technology, Changsha, Hunan, 410004, PR China
摘要：
The utilization of wood-derived carbon thick electrodes has demonstrated remarkable structural advantages in the realm of electrochemical energy storage and catalysis. Its exceptional structural stability, mechanical strength, and well-organized pore structure position it as a promising material for self-supporting electrodes. The multi-scale cross-linking of lignin, cellulose, and hemicellulose within the wood tracheid wall establishes a convenient prerequisite for structural modification. However, the significance of dynamic nanopores on wood tracheid walls in enhancing the microporous/mesoporous structure of wood-derived carbon electrodes has been overlooked due to the focus on operability of microscale array pores and wood decomposition processes. Here, we employ a straightforward, highly efficient, and environmentally sustainable solvent infiltration strategy to enhance the nanopore content within the wood tracheid wall, ultimately resulting in a significant enhancement of the microporous/mesoporous composition within the wood-derived electrode. The charge storage capacity of wood-derived carbon electrode is doubled through the implementation of a solvent permeation modification strategy, while its abundant micro/mesoporous structure also endows it with significant potential in the field of electrocatalysis. Therefore, this thermal and solvent permeation modification strategy is anticipated to supplant the conventional acid-base etching method and offer a novel research concept for the advancement of wood-based carbon electrodes with abundant pore structure and exceptional electrochemical properties.
