摘要：
Here, an adaptive de‐morphing factor framework (ADFF) is proposed to restore the accomplice's facial image. A pioneering de‐morphing factor prediction network is proposed, which can better handle the variations in the degree of morphing across different images, to improve the quality of restored accomplice's facial images. Abstract Morphing attacks (MAs) pose a substantial security threat to the Automatic Border Control (ABC) system. While a few morphing attack detection (MAD) methods have been proposed, the face morphing accomplice's facial restoration has not received sufficient attention. Due to the inability to foresee the morphing factor used for a particular morphed image, selecting the appropriate de‐morphing factor becomes a challenging problem in the restoration of the accomplice's facial image. If the morphing factor cannot be chosen reasonably, achieving the desired restoration effect is difficult. Therefore, this paper presents an adaptive de‐morphing factor framework (ADFF) architecture for restoring the accomplice's facial image. By exploiting the morphed images stored in the electronic passport system and the real‐time captured criminal's images, ADFF can effectively restore the accomplice's facial image. Experimental results and analysis show that ADFF can significantly reduce the security threats of MAs on ABC.
摘要：
Aesthetic expectations often constitute the primary focus in marketing nature-based tourist destinations. However, academic research has insufficiently explored the disparity between tourists' aesthetic expectations and the actual aesthetic quality maintenance in shaping satisfaction. Employing the Expectation Confirmation Theory, this study utilized structural equation modeling techniques to analyze survey data (n = 446). It proposed and tested an Aesthetic Expectation Confirmation Model to examine the relationship between aesthetic expectations, experiential qualities, and tourist satisfaction in the Zhangjiajie National Forest Park. The empirical findings show that aesthetic expectations have a direct, negative impact on satisfaction, while aesthetic expectation confirmation has a positive direct impact on satisfaction. Moreover, aesthetic expectation confirmation also plays a mediating role in the influence of aesthetic expectations and experiential quality on satisfaction. Specifically, aesthetic expectations indirectly impact satisfaction negatively through aesthetic expectation confirmation, whereas aesthetic experiential qualities have a positive, indirect impact on satisfaction through the same process. These findings offer theoretical contributions to the literature on forest recreation aesthetics and hold practical significance for the planning and management of destination aesthetics.
关键词：
Eco-driving;Offline reinforcement learning;Conservative Q-learning;Signal phase and timing
摘要：
Eco-driving represents a promising avenue for mitigating energy consumption in road transportation. To enhance the applicability of learning-based eco-driving strategies, this study presents a novel framework that employs offline reinforcement learning in eco-driving control. This framework enables a vehicle agent to acquire eco-driving behavior by leveraging real-world human driving trajectories. Specifically, the human driving trajectories, along with the corresponding traffic signal timing scheme, obtained from empirical data, are utilized to construct a comprehensive Markov Decision Process (MDP) dataset for offline policy training. To accommodate learning from sub-optimal human-driving data, a Conservative Q-learning (CQL) algorithm is deployed. Subsequently, the proposed offline learning method is compared with alternative learning-based, model-based, and rule-based approaches, effectively illustrating the feasibility of offline learning and the efficacy of the CQL algorithm. Notably, the energy consumption is demonstrated to be improved by 67.3% compared to a behavioral car-following model, with only marginal compromise to travel efficiency. Furthermore, a sensitivity analysis is conducted, revealing the generalizability of the offline learning-based method across various simulation configurations and even diverse energy consumption models.
期刊：
Journal of Applied Toxicology,2024年 ISSN：0260-437X
通讯作者：
Liu, Zhonghua;Wang, Y
作者机构：
[Shu, Yuanyuan; Liu, Zhonghua; Ning, Chao; Wang, Jiaxu; Li, Yaqi; Wang, Ying; Liang, Songping; Zhou, Yini] Hunan Normal Univ, Coll Life Sci, Natl & Local Joint Engn Lab Anim Peptide Drug Dev, Changsha 410006, Hunan, Peoples R China.;[Shu, Yuanyuan; Ning, Chao; Wang, Jiaxu; Liu, Zhonghua; Li, Yaqi; Wang, Ying; Liang, Songping; Zhou, Yini] Hunan Normal Univ, Inst Interdisciplinary Studies, Changsha, Peoples R China.;[Shu, Yuanyuan; Ning, Chao; Wang, Jiaxu; Liu, Zhonghua; Li, Yaqi; Wang, Ying; Liang, Songping; Zhou, Yini] Hunan Normal Univ, Furong Lab, Peptide & small Mol drug R&D platform, Changsha, Peoples R China.;[Tan, Yijun] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha, Peoples R China.
通讯机构：
[Liu, ZH; Wang, Y ] H;Hunan Normal Univ, Coll Life Sci, Natl & Local Joint Engn Lab Anim Peptide Drug Dev, Changsha 410006, Hunan, Peoples R China.
摘要：
Machine learning (ML) has shown a great promise in predicting toxicity of small molecules. However, the availability of data for such predictions is often limited. Because of the unsatisfactory performance of models trained on a single toxicity endpoint, we collected toxic small molecules with multiple toxicity endpoints from previous study. The dataset comprises 27 toxic endpoints categorized into seven toxicity classes, namely, carcinogenicity and mutagenicity, acute oral toxicity, respiratory toxicity, irritation and corrosion, cardiotoxicity, CYP450, and endocrine disruption. In addition, a binary classification Common-Toxicity task was added based on the aforementioned dataset. To improve the performance of the models, we added marketed drugs as negative samples. This study presents a toxicity predictive model, ToxMPNN, based on the message passing neural network (MPNN) architecture, aiming to predict the toxicity of small molecules. The results demonstrate that ToxMPNN outperforms other models in capturing toxic features within the molecular structure, resulting in more precise predictions with the ROC_AUC testing score of 0.886 for the Toxicity_drug dataset. Furthermore, it was observed that adding marketed drugs as negative samples not only improves the predictive performance of the binary classification Common-Toxicity task but also enhances the stability of the model prediction. It shows that the graph-based deep learning (DL) algorithms in this study can be used as a trustworthy and effective tool to assess small molecule toxicity in the development of new drugs. Machine learning has shown great promise in predicting toxicity of small molecules. This study presents a toxicity predictive model, ToxMPNN, based on the message passing neural network architecture, aiming to predict the toxicity of small molecules. ToxMPNN gives precise predictions with the ROC_AUC testing score of 0.886 for the Toxicity_drug dataset, which contains 27 toxic endpoints in seven toxicity categories and a binary classification Common-Toxicity task, and can be used as an effective tool to predict the toxicity of small molecules.
摘要：
High-temperature hazards of asphalt pavement and pollution from car exhaust are two major problems that need to be solved in road construction. In this paper, a multifunctional composite coating has been prepared from the perspective of reducing road temperature and car exhaust degradation. The principle of heat-reflecting coating is used to reduce the road surface temperature. At the same time, the TiO2 aqueous solution with photocatalytic degradation effect is added to the heat-reflective coating material to achieve the purpose of degrading automobile exhaust degradation, creating a new type of multifunctional coating that has both cooling and exhaust degradation effects. In addition, by changing the amount of carbon black, a multi-functional coating with the best coloring is selected, so that it has better functionality and has the most suitable shade for the road surface. Finally, the cooling effect and the exhaust gas reduction effect are examined through indoor and outdoor tests and the slip resistance of the coating is tested using the pendulum method. The results show that the functional coating group has a certain ability of cooling and exhaust gas degradation compared to the normal control group without coating. For the functional coating group with different carbon black content, the functional coating (G2) with 0.9% carbon black content has the strongest overall functionality. The cooling and exhaust gas reduction effects proved to be the best. The surface cooling rate is 5.4 degrees C, while the internal cooling rate is 4.3 degrees C. The cumulative degradation efficiency of CO and NO is found to be 27.77%, and 73.75%, respectively.
摘要：
Recycled rubber materials represent an environmentally sustainable option as asphalt modifiers. This research delves into the modification effects of Styrene Butadiene Rubber (SBR) asphalt at varying SBR content levels, employing a blend of molecular simulation techniques and laboratory experimentation. A comprehensive molecular model of SBR-modified asphalt is established, and molecular dynamics simulations are executed to scrutinize the thermodynamic attributes, dipole moments, mechanical characteristics, and adhesion properties inherent to SBR asphalt. The outcomes of this inquiry reveal that SBR exhibits notable compatibility with a majority of asphalt molecules, as evidenced by their dipole moments. The introduction of SBR into the asphalt matrix results in the adsorption of a substantial quantity of lightweight components, fostering the formation of a cross-linked network that bolsters the asphalt's resilience against external deformation forces. Furthermore, in terms of adhesion work, asphalt demonstrates heightened affinity with alkaline aggregates, and SBR serves to augment van der Waals interactions at the asphalt-aggregate interface, thereby amplifying interfacial bonding strength. However, when the content of SBR reaches 30%, some SBR molecules will be aggregated in the asphalt, which will lead to phase separation and affect the stability of the colloid. Therefore, it is recommended that the content of SBR should be limited to about 20% in practical engineering applications. In this work, the modification mechanism of SBR was analyzed at the molecular scale and verified experimentally, and the results provide a theoretical basis for the rational use of recycled SBR powder in asphalt applications.
作者机构：
[Meng, Ruizhi; Cui, Zhexin; Yun, Di] Xi An Jiao Tong Univ, Sch Nucl Sci & Technol, Xian 710049, Peoples R China.;[Cui, Zhexin; Lozano-Perez, Sergio] Univ Oxford, Dept Mat, Parks Rd, Oxford OX1 3PH, England.;[Liu, Junkai] Xidian Univ, Sch Adv Mat & Nanotechnol, Xian 710126, Peoples R China.;[Deng, Huiqiu; Liu, Guangdong; Deng, HQ] Hunan Univ, Sch Phys & Elect, Changsha 410082, Peoples R China.;[Liu, Xiaochun; Tang, Guogao] Changsha Univ Sci & technol, Inst Met, Coll Mat Sci & Engn, Changsha 410082, Peoples R China.
通讯机构：
[Yun, D ] X;[Deng, HQ ] H;Xi An Jiao Tong Univ, Sch Nucl Sci & Technol, Xian 710049, Peoples R China.;Hunan Univ, Sch Phys & Elect, Changsha 410082, Peoples R China.
关键词：
Zirconium alloy;High-temperature oxidation;Effect of tin;Nanovoids
摘要：
The oxidation behavior of zirconium alloy in high-temperature steam plays a dominant role in the operation of nuclear reactors under accident conditions. The present work investigated the effect of Sn on the oxidation behavior of zirconium alloys in high-temperature steam at 1000 degrees C. The results of scanning electron microscopy (SEM), metallographic microscopy and synchrotron X-ray diffraction (S-XRD) analyses show that there are three layers in the oxidized sample, including prior beta-Zr, alpha-Zr(O) and ZrO2. High resolution analyses conducted in these layers by transmission electron microscopy (TEM) show that Sn atoms segregate around the oxide-metal (O-M interface and Zr-Sn intermetallic precipitates only present in the oxide film. Clear atomic arrangements of Zr5Sn3 were obtained by TEM, resulting in accurate identification of the Zr-Sn intermetallic phase. Also, TEM energy dispersive spectroscopy (EDS) maps show that Zr-Sn particles invariably accompany the segregation or precipitation of Nb. However, no clear precipitation sequence was observed, which suggests that a co-precipitation mechanism of Sn and Nb is in operation. As oxidation proceeds, nanovoids next to the Zr-Sn intermetallic particles were observed accompanied by local areas deficient in oxygen, identified as ZrO. Combining the interdiffusion trend obtained by Density functional theory (DFT) and ab initio molecular dynamics (AIMD) simulations, a mechanism for the transformation from the Zr-Sn intermetallic precipitates to nanovoids was proposed. This proposed mechanism may shed new light into the role of Sn in the oxidation resistance of zirconium alloy under LOCA conditions.
期刊：
Journal of Alloys and Compounds,2024年970:172434 ISSN：0925-8388
通讯作者：
Zeng, G;Zhou, XJ
作者机构：
[Sun, Wei; Zeng, Guang; Yao, Yuan; Deng, Yangchao; Liu, Wenyuan] Cent South Univ, Sch Mat Sci & Engn, Changsha 410083, Peoples R China.;[Zhan, Hongyi] Gen Motors Global Res & Dev, China Sci Lab, Shanghai 201206, Peoples R China.;[Zhou, Xiaojie; Zhou, XJ] Changsha Univ Sci & Technol, Hunan Prov Key Lab Intelligent Mfg Technol High Pe, Changsha 410114, Peoples R China.
通讯机构：
[Zeng, G ; Zhou, XJ ] C;Cent South Univ, Sch Mat Sci & Engn, Changsha 410083, Peoples R China.;Changsha Univ Sci & Technol, Hunan Prov Key Lab Intelligent Mfg Technol High Pe, Changsha 410114, Peoples R China.
关键词：
Mg-Sn based alloy;Dynamic recrystallization;Precipitation;Hot compression
摘要：
The intrinsic correlation between dynamic precipitation and Dynamic Recrystallization (DRX) in a rare earth (RE)-free engineering Mg-4Sn-3Al-1Zn (TAZ431, wt.%) magnesium alloy has been systematically investigated. Hot compression tests were performed on the TAZ431 alloy, in comparison to Mg-3Al-1Zn (AZ31, wt.%) as a reference alloy, with varying temperatures, strain rates, and strain levels (T = 300 -460 degrees C; epsilon = 0.001 -1 s-1; epsilon = 0 to-0.9). Correlative microstructural characterizations including Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Electron Backscatter Diffraction (EBSD), were employed to explore the behaviors of precipitation, DRX and intragranular deformation as subjected to hot compression. The results indicate a significant interaction between Mg2Sn dynamic precipitation and the formation of DRXed grains. The TAZ431 alloy with Sn alloying exhibits profuse precipitation and larger DRX fraction within the microstructure, resulting in the increase of modulus and hardness. Nucleation of DRXed grains in the TAZ431 alloy was stimulated by relatively large (over 1 micrometer) undissolved Mg2Sn intermetallic particles. Meanwhile, the precipitation of nano-sized Mg2Sn occurred within DRXed grains and was facilitated by DRX process, consequently hindering the further growth of DRXed grains. The findings here may have implications for alloy design and thermal-mechanical processing of magnesium alloy structural components.
摘要：
In this paper, a linearized numerical scheme of nonlinear variable-order fractional diffusion equation with time delay is constructed. We apply the L2-1(sigma) formula to discretize the temporal derivative and second-order central difference scheme to discretize the spatial derivative. The proposed method is unconditionally stable and convergent with O(tau(2)+h(2)), where tau and h are the time and space steps, respectively. Numerical experiment demonstrates the effectiveness and accuracy of the numerical scheme.
摘要：
It is believed that local activation is the origin of all complexities, and the locally active memristive synaptic neural network can generate complex chaotic dynamic behaviors, such as hyperchaotic, multi-scroll, multi-stability and hidden dynamical behaviors. However, there are few studies on the simultaneous occurrence of multiple complex dynamic behaviors in neural networks. No chaotic system of multi-scroll hyperchaotic hidden attractors based on neural network has been found yet. To solve the problem, in this paper, we propose a new locally active memristive Hopfield neural network (HNN) model based on a multi-segment function, which is affected by electromagnetic radiation and external current. The multi-scroll hyperchaotic hidden attractors are found in the memristive HNN for the first time. Theoretical analysis and numerical simulation results show that the memristive HNN model has no equilibrium point, and the number of multi-scroll attractors is controlled by the state equation parameters of the memristive synapse. In addition, the structures and number of scrolls are also affected by electromagnetic radiation and external current. At the same time, under the appropriate parameter conditions, by modifying the initial value of the system, the memristive HNN has a controllable number of coexisting attractors, showing extreme multi-stability. Finally, a memristive HNN analog circuit is designed. The hardware experiment results reproduce the multi-scroll dynamics phenomenon, which verifies the correctness of the theoretical analysis and numerical simulation.
摘要：
Currently, researches related to asphalt UV aging mostly based on constant-intensity UV radiation, which is not consistent with its real service condition. In this study, the variable-intensity and constant-intensity UV radiation conditions were proposed on the principle of constant total radiation. The UV-aged neat asphalt film thickness was 1 mm and 0.5 mm. The temperature sweep, frequency sweep, and multiple stress creep recovery tests were conducted to reveal the rheological properties of UV-aged neat asphalt. Moreover, the Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) tests were performed to reveal the microscopic properties of UV-aged asphalt. Regarding the constant-intensity UV-aged asphalt with 1 mm film thickness, the rutting parameter aging index (RPAI) of 9 cycles was smaller than that of RTFO-aged asphalt. The variableintensity UV aging induced a much larger aging effect than constant-intensity UV aging for UV-aged asphalt. The IS--O and IC--O under variable-intensity UV aging conditions is higher than constant-intensity UV aging for the same cycles. Besides, the asphalt thickness is an essential element affecting UV aging. The aging effect increased significantly as the film thickness decreased. SEM test results have indicated that the variable-intensity UV aging caused more microscopic morphology damage to asphalt than constant-intensity UV aging. Variableintensity UV aging test condition proposed in this study is more accurately simulate the real service conditions. It is meaningful to propose the variable-intensity UV aging process. This study provides new ideas for simulating UV aging conditions and methods in the laboratory.
摘要：
High-temperature titanium alloys' thermal stability and creep resistance are significant during service in high temperatures. This study systematically investigated the thermal stability and mechanical properties of Ti-6.5A1-2.5Sn-9Zr-0.5Mo-1Nb-1W-0.3Si- x Sc ( x , 0-0.5 wt.%) at 650 degrees C. The lamellar secondary alpha phase is refined and the formation of Sc2 O3 is increased with the increasing scandium ( Sc ) additions, which improves the strength of the alloy, while excessive Sc2 O3 becomes the crack source and deteriorates the plasticity. The oxygen content in the matrix is reduced by the interaction between Sc and oxygen, inhibiting the growth of the Ti3 Al phase and improving the thermal stability of the alloy. Meanwhile, Sc accelerates the dissolution of the residual ,B phase and precipitation of fine, diffusely distributed ellipsoidal silicides, which strongly prevents dislocation movement. The enhancement of creep resistance for the Sc -containing alloy is attributed to the refined lamellar secondary alpha phases, Sc2 O3 particles, Ti3 Al phase, and silicides, especially the precipitated silicides. Eventually, the 0.3Sc alloy shows optimal thermal stability (the plasticity loss rate 17.3%) and creep resistance (steady-state creep rate 4.4 x 10-7 s-1 ). The investigation results provide new insights into the mechanism and thermal stability improvement in high-temperature titanium alloys modified by rare earth (RE).(c) 2023 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
作者：
Zhao, Wensheng;Fang, Guotao;Qin, Xiao;Mao, Jie
期刊：
REVIEWS ON ADVANCED MATERIALS SCIENCE,2024年63(1) ISSN：1606-5131
通讯作者：
Qin, X
作者机构：
[Zhao, Wensheng] Changsha Univ Sci & Technol, Natl Engn Res Ctr Highway Maintenance Technol, Changsha 410114, Peoples R China.;[Qin, Xiao; Qin, X] Foshan Univ, Sch Transportat & Civil Engn & Architecture, Foshan 528000, Peoples R China.;[Zhao, Wensheng] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.;[Fang, Guotao] Guangzhou HuaHui Traff Technol Co Ltd, Guangzhou 510335, Peoples R China.;[Mao, Jie] Guangdong GuanYue Highway & Bridge Co Ltd, Engn Dept, Guangzhou 511450, Peoples R China.
通讯机构：
[Qin, X ] F;Foshan Univ, Sch Transportat & Civil Engn & Architecture, Foshan 528000, Peoples R China.
关键词：
asphalt;UV aging;characterization
摘要：
To clarify the effect and mechanism of hindered amine light stabilizer (HALS) on the UV aging behavior of asphalt binder, T622-HALS was selected as the modifier for UV aging resistance of asphalt. The physicochemical properties and microstructure of T622 light stabilizer were comprehensively analyzed. The light stabilizer-modified asphalt was prepared and placed in the UV radiation chamber for UV aging treatment. Scanning electron microscope and atomic force microscope were used to analyze the microscopic morphology evolution of light stabilizer-modified asphalt induced by UV radiation. The thermal properties and functional group composition changes in light stabilizer-modified asphalt during UV aging were studied by using the thermogravimetric and infrared spectroscopy combined testing system. The decay laws of the physical and rheological performances of light stabilizer-modified asphalt were studied during UV aging process, and the effect of light stabilizer on the UV aging behavior of asphalt binder was clarified. The research results indicated that HALSs could alleviate the microcracks and roughness change on the surface of asphalt and reduce the content of functional groups such as carbonyl and sulfoxide in asphalt. Furthermore, HALS could reduce the value difference of physical and rheological properties of asphalt before and after UV aging, significantly improving the UV aging resistance of asphalt binder.
摘要：
We investigate the transmission properties of super-Gaussian pulses at a moving temporal boundary. The incident spectrum of super-Gaussian pulses, determined by different shape parameters, affects the reflected and transmitted pulse energy and the sidelobes distribution after crossing the temporal boundary. When the incident pulse is an initial unchirped super-Gaussian pulse or a super-Gaussian pulse with a small chirp parameter, the reflected pulse energy increases and the transmitted pulse energy decreases as the incident pulse shape parameter increases. When the incident pulse with a initial chirp and |C| >= 2, the incident pulse spectrum mainlobe energy increases as the shape parameter increases, resulting in reflected pulse energy decreases and transmitted pulse energy increases. This study also discusses the pulse splitting occurs in the anomalous dispersion region. The super-Gaussian pulse sidelobes can theoretically be removed by creating two temporal boundaries.
期刊：
CALPHAD-COMPUTER COUPLING OF PHASE DIAGRAMS AND THERMOCHEMISTRY,2024年84:102641 ISSN：0364-5916
通讯作者：
Xin, JH;Liss, KD
作者机构：
[Yin, Chongshan; Li, Xi; Zhang, Wei -Bing; Luo, Minsi; Zhu, Ruixiang] Changsha Univ Sci & Technol, Hunan Prov Key Lab Flexible Elect Mat Genome Engn, Changsha 410004, Peoples R China.;[Xin, Jinghua; Xin, JH] MOT, Tianjin Res Inst Water Transport Engn, Safety Energy Conservat & Emergency Technol Res Ct, Tianjin 300000, Peoples R China.;[Shang, Shun -Li; Liu, Zi-Kui] Penn State Univ, Dept Mat Sci & Engn, University Pk, PA 16802 USA.;[Funakoshi, Ken-Ichi] Comprehens Res Org Sci & Soc, Neutron Sci & Technol Ctr, Tokai, Ibaraki 3191106, Japan.;[Reid, Mark; Liss, Klaus -Dieter; Liss, KD; Dippenaar, Rian Johannes] Univ Wollongong, Sch Mech Mat Mechatron & Biomed Engn, Northfields Ave, Wollongong, NSW 2522, Australia.
通讯机构：
[Liss, KD ] U;[Xin, JH ] M;MOT, Tianjin Res Inst Water Transport Engn, Safety Energy Conservat & Emergency Technol Res Ct, Tianjin 300000, Peoples R China.;Univ Wollongong, Sch Mech Mat Mechatron & Biomed Engn, Northfields Ave, Wollongong, NSW 2522, Australia.
关键词：
Equation of state;Ti-Al alloys;High-pressure;Synchrotron radiation
摘要：
The phase transformations and pressure -volume dependencies of the Ti-45Al alloy with respect to pressure have been investigated by means of in -situ observation using multi anvil -type high-pressure devices and synchrotron radiation. Under hydrostatic compression from 0 to 10.1 GPa, about 2.3 vol % of gamma transforms continuously to alpha 2. Lattice parameters as well as volume fractions of these two phases have been determined as functions of pressure. Bulk moduli estimated using Birch-Murnaghan's equation of state are 146.2 GPa for the gamma phase, 136.7 GPa for the alpha 2 phase, and 145.6 GPa for their two-phase mixture of Ti-45Al alloy. First -principles have also applied to investigate bulk moduli of two single phases, and the deviation between calculations and measurements is discussed and attributed to mainly phase transformation. The present study provides useful insights into thermodynamics of alpha 2 and gamma phases under high pressure.
期刊：
Developments in the Built Environment,2024年17:100329 ISSN：2666-1659
通讯作者：
Liu, X
作者机构：
[Peng, Jun Long; Liu, Xiao] Changsha Univ Sci & Technol, Chang Sha City, Peoples R China.
通讯机构：
[Liu, X ] C;Changsha Univ Sci & Technol, Chang Sha City, Peoples R China.
关键词：
Emergency construction project management;Resource scheduling;Multi-space;Analysis of influencing factors;Fuzzy-DEMATEL-ISM
摘要：
In response to the growing frequency of international emergencies, the demand for resources dedicated to emergency construction projects has significantly increased due to their pivotal role in disaster containment and mitigation. This article examines the factors influencing the allocation of multi-spatial resources for such projects, conducting both causal and hierarchical analyses to unveil their interdependent mechanisms. It addresses a theoretical research gap in resource scheduling through bibliometric analysis. The study utilizes the Fuzzy Decision-Making Laboratory Analysis (Fuzzy-DEMATEL) method to identify key factors within the system and constructs a hierarchical model using Interpretive Structural Modeling (ISM) to systematically analyze the factors affecting multi-space resource allocation in emergency construction projects. The results reveal 43 influencing factors, categorized into 11 levels, with the political and social environment, resource scheduling determination, and design changes standing out as the primary influencers. Additionally, the article proposes a three-tiered strategy based on experimental results to offer theoretical insights for multi-spatial resource scheduling in emergency construction projects.
通讯机构：
[Dai, YM ] C;Changsha Univ Sci & Technol, Sch Chem & Chem Engn, Hunan Prov Key Lab Mat Protect Elect Power & Tranp, Hunan Prov Key Lab Cytochem, Changsha 410114, Peoples R China.
摘要：
Developing a green adsorbent to deal with Congo red dyes from wastewater was a significative exploration. In the work, we prepared an ionic liquid modified magnetic cellulose/sepiolite composite FSCS-cl-p(MBA-co-BVI) via a simple method, the process including the magnetic sepiolite/cellulose complex grafting the polymer of MBA and BVI. The high specific surface area of sepiolite and cellulose, the electropositivity of ionic liquids [Bvim][Br] and magnetic response of Fe3O4@SiO2 nanoparticles jointly promoted the adsorption performance of adsorbents. The composites were characterized by SEM, XRD, EDS, FTIR, BET, TGA and VSM, the adsorption performances were evaluated containing the influence factors, adsorption kinetics, isotherm and thermodynamics. In brief, the adsorbents were suitable within the pH range of 3-9 and reach adsorption equilibrium during 120 min. Meanwhile, the maximum adsorption capacity for CR was up to 1374.10 mg/g at 45 celcius. Furthermore, the adsorption kinetics and isotherm models were well-fitted to pseudo-second-order model and Langmuir isotherm model, respectively. The adsorption mechanisms of FSCS-cl-p(MBA-co-BVI) for CR could be interpreted as electrostatic attraction, hydrogen bonding and pi-pi stacking interaction. Based on results, the as-obtained adsorbents were effective, inexpensive and expected to be applied to the treatment of dyestuff.
通讯机构：
[Cheng, F ] J;Jiangnan Univ, Sch Mech Engn, Wuxi 214122, Peoples R China.
关键词：
Small sample data;Multi-period-sequential-index combination;Forecasting method;Accuracy evaluation;Noise ratio
摘要：
Based on multi-period-sequential-index combination (MPSIC) technology, three forecasting methods (auto-MPSIC, IV- MPSIC, MSEI-MPSIC) were proposed for short-term prediction of small sample data. Natural gas datasets, coal datasets, electricity datasets and atmosphere datasets were separately tested by using MPSIC method, and then impact of weighting factors, forecasting accuracy analysis were carried out for MPSIC method as well as other comparative methods. The results showed that, auto-MPSIC method was partial to use statistical indicators, such as peak-to-peak, average, root mean square, to decrease prediction error, and meanwhile was also inclined to use sequential index at time of ti-1 next to ti to improve prediction accuracy. It was also concluded that: the proposed MPSIC method could achieve higher prediction accuracy compared with other methods; the robustness of auto-MPSIC method was slightly better than that of IV-MPSIC and MSEI-MPSIC under condition of noisy data, which was attributed to an adaptive weight allocation technology considering statistical distribution of forecasting errors.
摘要：
Vanadium redox flow batteries (VRFBs) are promising energy storage systems with the potential to bridge the gap between intermittent renewable electricity generation and continuous supply of reliable electricity. The electrodes found in VRFB cells affect their energy efficiency (EE) and power density. It is important to fabricate electrodes with intriguing properties to enable VRFBs to have high performance. Herein, the abundant and cost-effective lignin is employed as the precursor to produce amorphous carbon particles after undergoing thermal decomposition treatment. The carbon particles cover the surface of carbon felt (CF). The resulting CF modified by lignin-derived carbon particles (Lignin-CF) with increased active sites and improved hydrophilicity displays superior electrochemical activity towards the VO(2)(+)/VO(2+) pair than both the pristine CF and the heated bare CF. Remarkably, the VRFB consisting of Lignin-CF which acts as the positive electrode shows high performance in terms of the average EE (83.3%) and average voltage efficiency (VE) (85.0%) over 1000 cycles (long cycling life) for more than 16days at 100mAcm(-2), and high power density of 1053.2 mW cm(-2). It is noted that the EE and VE are comparable to the highest reported value of CF modified by carbon-based materials, aside having evidently longer cycling life. This study provides a feasible strategy for fabricating an affordable electrode for high-performance VRFBs.
摘要：
The accuracy of the data is crucial to the real-time prediction of autonomous driving. Due to factors such as weather and the accuracy of data collection equipment, there frequently exist noises in the data collected in real time. Therefore, it is necessary to perform analysis on acquired kinematic features related to driving behavior prediction. This study proposes a novel deep learning framework to explore influences of data noises on lane-changing intention prediction. Kinematic features including the longitudinal distance difference, velocity and acceleration, lateral velocity and acceleration of the vehicles are first extracted from the HighD. Then, the anti-interference performance of deep learning models such as transformer is tested. By comparing dataset with and without noises, we develop an evaluation method containing several predictive performance metrics and statistical measures. The results show that: (1) the longitudinal acceleration of the vehicle has the lowest sensitivity to noise, and the lateral velocity has the weakest anti-interference and the highest sensitivity. (2) The Bi-LSTM model with multi-head attention mechanism performs well in reducing the sensitivity of longitudinal acceleration and prediction accuracy. This study provides valuable information for data acquisition and model selection of real-time driving intention prediction.
