摘要：
Sepiolite (SEP), a naturally abundant and environmentally friendly clay mineral, possesses various active sites and a large specific surface area. In this work, peroxymonosulfate (PMS) was activated to remove tetracycline (TC) using modified Sepiolite (MSEP), which was synthesized by ball milling and calcination techniques. According to the findings, MSEP efficiently stimulated PMS to produce 1O2 and ·OH radicals for the degradation of TC, with 1O2 being a key component of this process. The findings demonstrated that the carbonate on the MSEP surface encouraged the production of singlet oxygen. (1O2). Under the conditions of pH 6.5, 0.2 g/L MSEP, 2 mmol/L PMS and 25 °C, a 10 mg/L TC concentration was reduced by 93.3 % after 30 min. The presence of Cl− and NO3− did not inhibit TC degradation, while HCO3− promoted it, and H2PO4− exhibited an inhibitory effect. This work offers a novel method for using clay minerals to activate PMS and degrade organic contaminant without secondary pollution.
Sepiolite (SEP), a naturally abundant and environmentally friendly clay mineral, possesses various active sites and a large specific surface area. In this work, peroxymonosulfate (PMS) was activated to remove tetracycline (TC) using modified Sepiolite (MSEP), which was synthesized by ball milling and calcination techniques. According to the findings, MSEP efficiently stimulated PMS to produce 1O2 and ·OH radicals for the degradation of TC, with 1O2 being a key component of this process. The findings demonstrated that the carbonate on the MSEP surface encouraged the production of singlet oxygen. (1O2). Under the conditions of pH 6.5, 0.2 g/L MSEP, 2 mmol/L PMS and 25 °C, a 10 mg/L TC concentration was reduced by 93.3 % after 30 min. The presence of Cl− and NO3− did not inhibit TC degradation, while HCO3− promoted it, and H2PO4− exhibited an inhibitory effect. This work offers a novel method for using clay minerals to activate PMS and degrade organic contaminant without secondary pollution.
摘要：
Enhancing the stability and durability of superhydrophobic wood remains a significant challenge for its long-term application in various fields. This study presents a novel approach to developing durable superhydrophobic wood by regulating wood structure. The analyses of the mechanism revealed that Si-Ti@PDMS prepolymer infiltrated wood’s pores and cell walls, forming a highly cross-linked micro-nanoscale superhydrophobic coating extending from the exterior to the interior. The resulting superhydrophobic wood exhibited excellent hydrophobic characteristics on both its surface and various cutting surfaces. Furthermore, the water contact angles (WCA) measured on the various cut surfaces of the wood consistently exceeded 150°, thereby confirming its superhydrophobicity. Additionally, the water contact angles (WCA) at wood depth surfaces remained above 130°. This observation indicates that the non-wettability characteristic of the superhydrophobic wood extends from the surface to the interior. Consequently, even in the event of surface structural damage, the wood retains its robust hydrophobic performance. This study provides a theoretical foundation for regulating durable superhydrophobic wood, and it was beneficial to the efficient use of superhydrophobic wood in construction and furniture fields.
Enhancing the stability and durability of superhydrophobic wood remains a significant challenge for its long-term application in various fields. This study presents a novel approach to developing durable superhydrophobic wood by regulating wood structure. The analyses of the mechanism revealed that Si-Ti@PDMS prepolymer infiltrated wood’s pores and cell walls, forming a highly cross-linked micro-nanoscale superhydrophobic coating extending from the exterior to the interior. The resulting superhydrophobic wood exhibited excellent hydrophobic characteristics on both its surface and various cutting surfaces. Furthermore, the water contact angles (WCA) measured on the various cut surfaces of the wood consistently exceeded 150°, thereby confirming its superhydrophobicity. Additionally, the water contact angles (WCA) at wood depth surfaces remained above 130°. This observation indicates that the non-wettability characteristic of the superhydrophobic wood extends from the surface to the interior. Consequently, even in the event of surface structural damage, the wood retains its robust hydrophobic performance. This study provides a theoretical foundation for regulating durable superhydrophobic wood, and it was beneficial to the efficient use of superhydrophobic wood in construction and furniture fields.
摘要：
In this paper, a degenerated reaction-diffusive avian influenza model with logistic source and spatial heterogeneity is proposed. We analyze the global compact attractor of the solution semi-flow of the model using the k-contraction method. Furthermore, the threshold dynamics in terms of the basic reproduction number R-0(h) are investigated. Specifically, if R-0(h )< 1, the infection-free steady state of the system is globally asymptotically stable. If R-0(h) > 1, then the endemic equilibrium is uniformly persistent. Finally, numerical simulations are performed to demonstrate the theoretical results.
摘要：
The existence of multiple cracks accelerates chloride ion penetration within damaged concrete, substantially shortening the lifespan of the structure. Therefore, this paper conducts an in-depth analysis of chloride migration mechanisms in cracked concrete subjected to multiple cracks under drying-wetting cycles. Firstly, a series of accelerated chloride diffusion experiments were conducted on prestressed concrete beams subjected to multiple cracks. The analysis examines how crack width, depth, and density affect chloride concentration distribution. Then, a chloride diffusion coefficient prediction model incorporating the effects of multiple cracks was established using the crack interaction function and verified through experimental data. Finally, this paper explored the distribution patterns of chloride concentration and convection zones in concrete subjected to multiple cracks under various environmental conditions. The experimental results showed that crack width exerts the strongest effect on chloride diffusion, followed by crack depth, while crack density has the smallest impact. At the same depth of diffusion, the chloride concentration in concrete specimens with crack width of 0.3 mm increased by 45 % and 25 % on average compared with those with crack width of 0.1 mm and 0.2 mm, respectively. The dry-wet time ratio and initial moisture saturation significantly affect chloride concentration distribution, with the depth of the convection zone showing a negative correlation with initial moisture saturation.
The existence of multiple cracks accelerates chloride ion penetration within damaged concrete, substantially shortening the lifespan of the structure. Therefore, this paper conducts an in-depth analysis of chloride migration mechanisms in cracked concrete subjected to multiple cracks under drying-wetting cycles. Firstly, a series of accelerated chloride diffusion experiments were conducted on prestressed concrete beams subjected to multiple cracks. The analysis examines how crack width, depth, and density affect chloride concentration distribution. Then, a chloride diffusion coefficient prediction model incorporating the effects of multiple cracks was established using the crack interaction function and verified through experimental data. Finally, this paper explored the distribution patterns of chloride concentration and convection zones in concrete subjected to multiple cracks under various environmental conditions. The experimental results showed that crack width exerts the strongest effect on chloride diffusion, followed by crack depth, while crack density has the smallest impact. At the same depth of diffusion, the chloride concentration in concrete specimens with crack width of 0.3 mm increased by 45 % and 25 % on average compared with those with crack width of 0.1 mm and 0.2 mm, respectively. The dry-wet time ratio and initial moisture saturation significantly affect chloride concentration distribution, with the depth of the convection zone showing a negative correlation with initial moisture saturation.
期刊：
JOURNAL OF SUPERCOMPUTING,2025年81(4):1-21 ISSN：0920-8542
通讯作者：
Jiang, H
作者机构：
[Ya, Jinhua] Jingdezhen Ceram Univ, Sch Design Art, Jingdezhen 333000, Peoples R China.;[Jiang, Hua] Hunan City Univ, Coll Fine Arts & Design, Yiyang 413000, Peoples R China.;[Milani, F.] Western Caspian Univ, Dept Mech & Math, Baku 1001, Azerbaijan.
通讯机构：
[Jiang, H ] H;Hunan City Univ, Coll Fine Arts & Design, Yiyang 413000, Peoples R China.
关键词：
Internet of Things (IoT);Energy consumption;IoT;Quantum dot;Printed circuit
摘要：
An Internet of Things (IoT) network is a graph where all nodes have the same number of links. IoT gadgets are distinct due to their limited battery capacities, short lifespans, and low sustainability. For active mode connectivity, these designs need to address a number of challenges, such as sustainable practices, effective power strategies, and quick data transmission. However, due to its widespread application in digital computer arithmetic processes, the printed device is considered one of the essential digital components of IoT circuits. To put it another way, low-power and IoT devices with longer battery life and low-power consumption may be used with the printed electronic device. As this is going on, quantum-dot cellular automata (QCA) technology is being utilized more and more to develop digital circuit systems that require less energy and are sustainable and occupied. Consequently, this study proposes a novel printed circuit with an arithmetic logic unit (ALU) structure. Implementing QCA technology emphasizes energy efficiency, sustainability, and occupied areas for miniaturizing IoT systems. Additionally, utilizing the QCADesigner-E 2.2 and QCAPro tools, all proposed frameworks are validated by simulation.
摘要：
Carbon is predominantly used in zinc-ion hybrid capacitors (ZIHCs) as an electrode material. Nitrogen doping and strategic design can enhance its electrochemical properties. Melamine formaldehyde resin, serving as a hard carbon precursor, synthesizes nitrogen-doped porous carbon after annealing. Incorporating transition metal catalysts like Ni, Co, and Fe alters the morphology, pore structure, graphitization degree, and nitrogen doping types/proportions. Electrochemical tests reveal a superior capacitance of 159.5 F g(-1) at a scan rate of 1 mV s(-1) and rate performance in Fe-catalyzed N-doped porous carbon (Fe-NDPC). Advanced analysis shows Fe-NDPC's high graphitic nitrogen content and graphitization degree, boosting its electric double-layer capacitance (EDLC) and pseudocapacitance. Its abundant micro- and mesopores increase the surface area fourfold compared to non-catalyzed samples, favoring EDLC and fast electrolyte transport. This study guides catalyst application in carbon materials for supercapacitors, illuminating how catalysts influence nitrogen-doped porous carbon structure and performance.
通讯机构：
[Xiang, XA ] H;Hunan City Univ, Sch Municipal & Geomat Engn, Yiyang 413000, Hunan, Peoples R China.
关键词：
Energy Efficiency;Exergy Efficiency;Dual Fluidized Bed;Gasification
摘要：
In the evaluation of energy conversion processes, EnE (Energy Efficiency) and ExE (exergy efficiency) are currently used as the main indicators. However, this paper contends that such evaluations are incomplete and proposes incorporating DEnEx (Difference Between Energy Efficiency and Exergy Efficiency). The DEnEx reflects the energy losses caused by irreversible processes within the system, revealing the extent to which the system deviates from its ideal state during operation. This paper provides a detailed analysis of EnE, ExE, and DEnEx using the dual fluidized bed as an example, leading to the following conclusions: (1) An increase in gasification temperature and the FC (Fixed Carbon) content of raw materials raises both EnE and ExE, while increases in S/C (steam to carbon ratio) and auxiliary fuel initially raise both EnE and ExE but eventually lead to a decline. (2) Altering gasification conditions and auxiliary fuel can improve both EnE and ExE, but may also increase DEnEx. If equipment optimization is guided by DEnEx, it could produce results that contradict EnE and ExE analysis. This discrepancy arises mainly because changes in conditions aimed at enhancing system efficiency do not account for variations in internal exergy losses. (3) The catalytic gasification method can simultaneously increase EnE and ExE while reducing DEnEx, demonstrating a more comprehensive optimization approach. Therefore, in optimizing the dual fluidized bed gasification process, the methods of altering operational conditions (gasification temperature, S/C, auxiliary fuel) are found to be imperfect and struggle to balance enhancing system efficiency with reducing irreversible losses. It is essential to change external conditions, such as utilizing raw materials with high FC content or adopting catalytic gasification, to achieve comprehensive optimization. Furthermore, in evaluating energy conversion processes, solely considering EnE and ExE is insufficient; incorporating DEnEx is necessary. Only by achieving simultaneous optimization of all three metrics can the best optimization solution be realized.
In the evaluation of energy conversion processes, EnE (Energy Efficiency) and ExE (exergy efficiency) are currently used as the main indicators. However, this paper contends that such evaluations are incomplete and proposes incorporating DEnEx (Difference Between Energy Efficiency and Exergy Efficiency). The DEnEx reflects the energy losses caused by irreversible processes within the system, revealing the extent to which the system deviates from its ideal state during operation. This paper provides a detailed analysis of EnE, ExE, and DEnEx using the dual fluidized bed as an example, leading to the following conclusions: (1) An increase in gasification temperature and the FC (Fixed Carbon) content of raw materials raises both EnE and ExE, while increases in S/C (steam to carbon ratio) and auxiliary fuel initially raise both EnE and ExE but eventually lead to a decline. (2) Altering gasification conditions and auxiliary fuel can improve both EnE and ExE, but may also increase DEnEx. If equipment optimization is guided by DEnEx, it could produce results that contradict EnE and ExE analysis. This discrepancy arises mainly because changes in conditions aimed at enhancing system efficiency do not account for variations in internal exergy losses. (3) The catalytic gasification method can simultaneously increase EnE and ExE while reducing DEnEx, demonstrating a more comprehensive optimization approach. Therefore, in optimizing the dual fluidized bed gasification process, the methods of altering operational conditions (gasification temperature, S/C, auxiliary fuel) are found to be imperfect and struggle to balance enhancing system efficiency with reducing irreversible losses. It is essential to change external conditions, such as utilizing raw materials with high FC content or adopting catalytic gasification, to achieve comprehensive optimization. Furthermore, in evaluating energy conversion processes, solely considering EnE and ExE is insufficient; incorporating DEnEx is necessary. Only by achieving simultaneous optimization of all three metrics can the best optimization solution be realized.
关键词：
A. graminifolia;Acetylcholinesterase;Ephemeranthoquinone;Structure-activity
摘要：
Twelve stilbenes were isolated and characterized from Arundina graminifolia (D. Don) Hochr ( A. graminifolia. ), including arundin (1) , isoarundinin II (2) , batatasin III (3) , blestriarene A (4) , densiflorol B (5) , shancidin (6) , coeloin (7) , ephemeranthoquinone (8) , isoshancidin (9) , lusianthridin (10) , orchinol (11) , and arundinan (12) . Notably, compounds 1 and 2 are reported here for the first time from this species, thereby expanding the chemical profile of A. graminifolia . Among these, compounds 4, 7 , and 8 exhibited significant acetylcholinesterase (AChE) inhibitory activity, with IC 50 values ranging from 0.116 to 0.402 mM. Kinetic assays revealed a mixed-type inhibition mechanism for these compounds, with inhibition constants (K i ) against free AChE ranging from 0.193 to 0.542 mM, and K i ’ values for enzyme-substrate complexes between 0.157 and 0.387 mM. Structure-activity relationship analysis indicated that bibenzyl compounds did not significantly affect AChE activity, while phenanthrenes exhibited more pronounced effects. Molecular dynamics simulations suggested that compound 8 interacts with the AChE binding pocket through conformational changes, stabilizing the structure via hydrogen bonds and π-stacking interactions with key residues, including Asn84, Thr154, His480, Tyr370, and Trp83. Molecular docking studies confirmed that these stilbenes effectively inhibit AChE activity, with predicted IC 50 values closely aligning with experimental data. These findings highlight the potent AChE inhibitory effects of the active stilbene compounds from A. graminifolia , providing valuable insights into their potential as therapeutic agents for Alzheimer's disease.
Twelve stilbenes were isolated and characterized from Arundina graminifolia (D. Don) Hochr ( A. graminifolia. ), including arundin (1) , isoarundinin II (2) , batatasin III (3) , blestriarene A (4) , densiflorol B (5) , shancidin (6) , coeloin (7) , ephemeranthoquinone (8) , isoshancidin (9) , lusianthridin (10) , orchinol (11) , and arundinan (12) . Notably, compounds 1 and 2 are reported here for the first time from this species, thereby expanding the chemical profile of A. graminifolia . Among these, compounds 4, 7 , and 8 exhibited significant acetylcholinesterase (AChE) inhibitory activity, with IC 50 values ranging from 0.116 to 0.402 mM. Kinetic assays revealed a mixed-type inhibition mechanism for these compounds, with inhibition constants (K i ) against free AChE ranging from 0.193 to 0.542 mM, and K i ’ values for enzyme-substrate complexes between 0.157 and 0.387 mM.
Structure-activity relationship analysis indicated that bibenzyl compounds did not significantly affect AChE activity, while phenanthrenes exhibited more pronounced effects. Molecular dynamics simulations suggested that compound 8 interacts with the AChE binding pocket through conformational changes, stabilizing the structure via hydrogen bonds and π-stacking interactions with key residues, including Asn84, Thr154, His480, Tyr370, and Trp83. Molecular docking studies confirmed that these stilbenes effectively inhibit AChE activity, with predicted IC 50 values closely aligning with experimental data. These findings highlight the potent AChE inhibitory effects of the active stilbene compounds from A. graminifolia , providing valuable insights into their potential as therapeutic agents for Alzheimer's disease.
作者机构：
[Cheng, Xiaokang; Xiao, Junyi; Peng, Jianxin; Zhang, Jianren] Changsha Univ Sci & Technol, Sch Civil Engn, Key Lab Bridge Engn Safety Control, Dept Educ, Changsha 410114, Hunan, Peoples R China.;[Xiao, Junyi] Guangzhou Vocat Coll Technol & Business, Sch Emergency Technol, Guangzhou 511442, Guangdong, Peoples R China.;[Yang, Yiming] Hunan City Univ, Sch Civil Engn, Yiyang 413000, Hunan, Peoples R China.;[Dong, You] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong 999077, Peoples R China.
通讯机构：
[Peng, JX ] C;[Yang, YM ] H;Changsha Univ Sci & Technol, Sch Civil Engn, Key Lab Bridge Engn Safety Control, Dept Educ, Changsha 410114, Hunan, Peoples R China.;Hunan City Univ, Sch Civil Engn, Yiyang 413000, Hunan, Peoples R China.
关键词：
Post-tensioned concrete structures;Chloride wet-dry environment;Performance degradation;Concrete creep;Prestress loss
摘要：
The shrinkage, creep of concrete, and relaxation of prestressing tendons lead to prestress loss in prestressed concrete (PC) structures under conventional environments. The prestress loss of PC structures is also affected by corrosive environments resulting from alternating wet and dry. Therefore, a new model for predicting prestress loss under alternating damp and dry chloride environments is proposed. The model considers the coupled effects of corrosion on concrete creep and the remaining cross-sectional area of steel reinforcement/prestressing tendons. A 300-day experimental study is conducted on a series of post-tensioned prestressed concrete beams subjected to a cyclic wet-dry corrosive environment to discuss prestress loss. The effectiveness of the model is verified through experimental results. The results indicate that the existing codes underestimate the long-term prestress loss of PC structures in corrosive environments. The proposed model can accurately predict the long-term prestress loss of PC beams. Compared with conventional environments, the creep coefficient of concrete under a dry-wet alternating corrosive environment increases by 15 %, resulting in a 12.4 % increase in the long-term prestress loss of the structure.
The shrinkage, creep of concrete, and relaxation of prestressing tendons lead to prestress loss in prestressed concrete (PC) structures under conventional environments. The prestress loss of PC structures is also affected by corrosive environments resulting from alternating wet and dry. Therefore, a new model for predicting prestress loss under alternating damp and dry chloride environments is proposed. The model considers the coupled effects of corrosion on concrete creep and the remaining cross-sectional area of steel reinforcement/prestressing tendons. A 300-day experimental study is conducted on a series of post-tensioned prestressed concrete beams subjected to a cyclic wet-dry corrosive environment to discuss prestress loss. The effectiveness of the model is verified through experimental results. The results indicate that the existing codes underestimate the long-term prestress loss of PC structures in corrosive environments. The proposed model can accurately predict the long-term prestress loss of PC beams. Compared with conventional environments, the creep coefficient of concrete under a dry-wet alternating corrosive environment increases by 15 %, resulting in a 12.4 % increase in the long-term prestress loss of the structure.
摘要：
Modeling lithium-ion battery states plays a crucial role in supporting engineering education, yet applying existing models in the classroom poses challenges. This paper presents an electrochemical/thermodynamic analytical model with 19 parameters for hard-pack lithium-ion batteries, providing efficient and compact MATLAB code as an instructional tool for engineering education. The paper elucidates the mechanisms of electrochemical/thermodynamic behavior evolution in lithium-ion batteries under thermal abuse and develops a state evaluation model based on ordinary differential equations. The highly nonlinear dynamic problem is discretized into a series of static problems, which are solved using the Levenberg–Marquardt algorithm. The MATLAB program is applied to prismatic and cylindrical lithium-ion batteries, yielding critical venting points and state evolution curves, such as temperature, pressure, gas production, heat generation rate, and reaction rate. The comprehensive results vividly demonstrate the evolution of electrochemical and thermodynamic behavior in lithium-ion batteries, aiding students in grasping complex concepts within the course. The modeling and solution process, along with the discussion of algorithm parameters, are expected to enhance students' programming skills and engineering thinking. The proposed algorithm demonstrates second-level efficiency and good convergence, highlighting its potential for classroom applications.
作者机构：
[Wu, Xiao] Namseoul Univ, Cheonan 31023, South Korea.;[Wu, Xiao] Hunan Inst Traff Engn, Coll Humanities & Art, Hengyang 421000, Hunan, Peoples R China.;[Qin, Yu] Hunan City Univ, Coll Mus & Dance, Yiyang 413000, Hunan, Peoples R China.
通讯机构：
[Qin, Y ] H;Hunan City Univ, Coll Mus & Dance, Yiyang 413000, Hunan, Peoples R China.
关键词：
Music students;Negative emotions;Engagement;Artificial intelligence readiness;Emotional impact
摘要：
This study explored the relationship between negative emotions, engagement, and artificial intelligence (AI) readiness among 323 music students. The researchers employed SPSS (version 27) and AMOS (version 24) for analysis using the Emotion Beliefs Questionnaire (EBQ), the Students' Engagement Questionnaire, and the Artificial Intelligence Readiness Scale. Structural Equation Modeling (SEM), along with reliability analysis, correlation, and Multiple Linear Regression, was applied to understand the data. Findings indicate that negative emotions and AI readiness are interrelated with student engagement. Music's emotional impact can influence how students manage their feelings and engage with AI technologies. For instance, individuals who are more prepared for AI integration may leverage these tools to manage their emotions more effectively, which in turn could lead to enhanced music performance, though the specific mechanisms connecting these factors need further clarification. Consequently, high AI readiness can lead to greater engagement with digital learning platforms, potentially benefiting emotional regulation and academic achievements.
This study explored the relationship between negative emotions, engagement, and artificial intelligence (AI) readiness among 323 music students. The researchers employed SPSS (version 27) and AMOS (version 24) for analysis using the Emotion Beliefs Questionnaire (EBQ), the Students' Engagement Questionnaire, and the Artificial Intelligence Readiness Scale. Structural Equation Modeling (SEM), along with reliability analysis, correlation, and Multiple Linear Regression, was applied to understand the data. Findings indicate that negative emotions and AI readiness are interrelated with student engagement. Music's emotional impact can influence how students manage their feelings and engage with AI technologies. For instance, individuals who are more prepared for AI integration may leverage these tools to manage their emotions more effectively, which in turn could lead to enhanced music performance, though the specific mechanisms connecting these factors need further clarification. Consequently, high AI readiness can lead to greater engagement with digital learning platforms, potentially benefiting emotional regulation and academic achievements.
摘要：
Epistasis detection (ED) was widely used for identifying potential risk disease variants in the human genome. A statistically meaningful ED typically requires a more extensive dataset to detect complex disease-associated single nucleotide polymorphisms, but a single institution generally possesses limited genome data. Thus, it is necessary to collect multi-institutional genome data to carry out research together. However, concerns regarding privacy and trustworthiness impede the sharing of massive genome data. Therefore, this article proposes a novel federated ED framework with the sequence perturbation privacy-preserving method to address the limitation of distributed data sharing (FedED-SegNAS). First, to address the lack of interpretability in deep learning models, integrate fuzzy logic into convolutional neural networks (CNNs), promoting the capabilities of CNN to represent the ambiguities of genomic data with high interpretability and reasonable accuracy. Second, consider using the neural architecture search method to optimize the federated neural architecture. Specifically, selecting the particle swarm optimization algorithm to automatically search the optimal neural architecture at different stages in federated learning (FL) based on adaptive multiobjectives decreases the communication cost and improves communication efficiency. Furthermore, to ensure the security of the parameter transfer process, design the sequence perturbation privacy-preserving method, grouping the upload and download parameters of FL and randomly perturbing the group number so that the attacker cannot obtain the corresponding result between the group number and parameters. Its rationality and security have been proven. The experiments conducted on a range of datasets demonstrate the superiority of the framework over state-of-the-art ED methods. FedED-SegNAS can reduce network complexity while protecting genome data security.
期刊：
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING,2025年13(2):116080 ISSN：2213-2929
通讯作者：
Yaoning Chen
作者机构：
[Yaoning Chen; Chen Zhao; Mengyang Zhao; Huayue Kang; Hongjuan Jiang; Li Chen; Jun Wang; Wencheng Zhou] College of Environmental Science and Engineering, Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China;[Yuanping Li; Nianping Chi] School of Municipal and Geomatics Engineering, Hunan City University, Yiyang, Hunan 413000, China;[Yihuan Liu] State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Environment, Resource, Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
通讯机构：
[Yaoning Chen] C;College of Environmental Science and Engineering, Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
摘要：
The non-radical pathway has attracted extensive interest due to its unique advantages in persulfate activation. However, the conversion between non-radical pathways remains elusive. In this study, the nitrogen and boron co-doped carbon (NB-C) was synthesized from agroforestry waste by a simple co-pyrolysis method for activating peroxydisulfate (PDS) to degrade sulfamethoxazole (SMX). The results showed that nearly 100 % removal of SMX (20 mg/L) was achieved at a low catalyst dose (0.15 g L −1 ). Combining the results of quenching experiments, electron paramagnetic resonance, in situ Raman spectroscopy, premixing experiments, and electrochemical analyses, a non-radical activation mechanism dominated by the electron transfer pathway (ETP) was identified. More importantly, we have quantified the oxidation contribution of various reactive oxygen species (ROS) to SMX degradation by steady-state concentration calculations. The experimental and characterization data indicated that the carbon structure of nitrogen-doped carbon (N-C) was altered with the introduction of boron (B), and the main active sites were replaced by pyrrolic N, sp 2 -C, and the new BC 3 site, thereby transforming the reaction pathway from 1 O 2 oxidation (44.43 %) into an almost complete ETP (92.34 %). Benefitting from the advantages of the ETP, the NB-C/PDS system maintains excellent adaptability in complex background water matrices and over a wide pH range (3−11). Moreover, unlike the N-C/PDS system based on 1 O 2 oxidation, the reusability of the NB-C/PDS system was significantly improved, which further emphasizes its practical application potential. Finally, three possible degradation pathways of SMX were proposed by liquid chromatography-mass spectrometry and the toxicity of the intermediates was evaluated.
The non-radical pathway has attracted extensive interest due to its unique advantages in persulfate activation. However, the conversion between non-radical pathways remains elusive. In this study, the nitrogen and boron co-doped carbon (NB-C) was synthesized from agroforestry waste by a simple co-pyrolysis method for activating peroxydisulfate (PDS) to degrade sulfamethoxazole (SMX). The results showed that nearly 100 % removal of SMX (20 mg/L) was achieved at a low catalyst dose (0.15 g L −1 ). Combining the results of quenching experiments, electron paramagnetic resonance, in situ Raman spectroscopy, premixing experiments, and electrochemical analyses, a non-radical activation mechanism dominated by the electron transfer pathway (ETP) was identified. More importantly, we have quantified the oxidation contribution of various reactive oxygen species (ROS) to SMX degradation by steady-state concentration calculations. The experimental and characterization data indicated that the carbon structure of nitrogen-doped carbon (N-C) was altered with the introduction of boron (B), and the main active sites were replaced by pyrrolic N, sp 2 -C, and the new BC 3 site, thereby transforming the reaction pathway from 1 O 2 oxidation (44.43 %) into an almost complete ETP (92.34 %). Benefitting from the advantages of the ETP, the NB-C/PDS system maintains excellent adaptability in complex background water matrices and over a wide pH range (3−11). Moreover, unlike the N-C/PDS system based on 1 O 2 oxidation, the reusability of the NB-C/PDS system was significantly improved, which further emphasizes its practical application potential. Finally, three possible degradation pathways of SMX were proposed by liquid chromatography-mass spectrometry and the toxicity of the intermediates was evaluated.
期刊：
JOURNAL OF COMPUTING IN CIVIL ENGINEERING,2025年39(3):04025017 ISSN：0887-3801
通讯作者：
Da Hu
作者机构：
[Yongsuo Li] Professor, Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, PR China;[Kai Qi] Master’s Candidate, College of Civil Engineering, Univ. of South China, Henyang, Hunan 421001, PR China;[Xiaoxuan Weng; Ze Tan; Jing Liu] Master’s Candidate, College of Civil Engineering, Hunan City Univ., Yingbin East Rd., Yiyang, Hunan 413000, PR China;[Da Hu] Professor, Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, PR China
通讯机构：
[Da Hu] P;Professor, Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, PR China
关键词：
Prediction of jacking force;Pipe jacking tunnel;Deep-learning;Convolutional neural network;Long-term and short-term memory network
摘要：
The advancement of computer technology has led to the increased utilization of new algorithms, such as machine learning, in various fields including underground engineering. The estimation of jacking force plays a critical role in the construction of rectangular jacked tunnels. Conventional prediction techniques often rely on empirical models and statistical analysis, posing challenges in accurately forecasting the jacking force for intricate tunnel structures. To overcome this obstacle, a method for predicting tunnel jacking force is proposed, which integrates a convolutional neural network (CNN) and long short-term memory network (LSTM). By utilizing geometric and operational parameters as inputs, the CNN extracts data features, which are subsequently inputted into the LSTM network for time-series modeling. This model effectively processes continuous jacking force data by comprehending the complex correlations within the data set, resulting in more precise predictions of future jacking force values. Comparative analysis with traditional methods such as the artificial neural network, single CNN model, and LSTM network demonstrates that the CNN-LSTM model significantly reduces prediction errors in tunnel jacking force estimation, thereby enhancing model accuracy. Consequently, the efficacy of the CNN-LSTM model has been validated, showcasing the benefits of employing deep-learning techniques for predicting jacking force in pipe jacking tunnel construction.
作者机构：
[Yi, Wenjun] College of Science, National University of Defense Technology, Changsha, China. yiwenjun@nudt.edu.cn;[Gu, Nan; Zhang, Yi; Fu, Meicheng; Qi, Junli; Xu, Yao; Chen, Xin; Zhu, Shuyue; Liu, Siyu; Zhu, Mengjun; Zhang, Hongyu] College of Science, National University of Defense Technology, Changsha, China;[Zhu, Shuyue] Xi'an Satellite Control Center, Xi'an, China;[Zhu, Mengjun] School of Information and Electronics Engineering, Hunan City University, Yiyang, China;[Wang, Ping] College of Electronic Science, National University of Defense Technology, Changsha, China
通讯机构：
[Wenjun Yi; Xiujian Li] C;[Qiong Liu] S;College of Science, National University of Defense Technology, Changsha, China.;Senior Department of Otolaryngology Head and Neck Surgery, the 6th Medical Center of Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
摘要：
The fundamental trade-off between spatial resolution and imaging distance poses a significant challenge for current imaging techniques, such as those used in modern biomedical diagnosis and remote sensing. Here, we introduce a new conceptual method for imaging dynamic amplitude-phase-mixed objects, termed relay-projection microscopic telescopy (rPMT), which fundamentally challenges conventional light collection techniques by employing non-line-of-sight light collection through square-law relay-projection mechanisms. We successfully resolved tiny features measuring 2.76 μm, 22.10 μm, and 35.08 μm for objects positioned at distances of 1019.0 mm, 26.4 m, and 96.0 m, respectively, from single-shot spatial power spectrum images captured on the relay screen; these results demonstrate that the resolution capabilities of rPMT significantly surpass the Abbe diffraction limit of the 25 mm-aperture camera lens at the respective distances, achieving resolution improvement factors of 7.9, 25.4, and 58.2. The rPMT exhibits long-distance, wide-range, high-resolution imaging capabilities that exceed the diffraction limit of the camera lens and the focusing range limit, even when the objects are obscured by a scattering medium. The rPMT enables telescopic imaging from centimeters to beyond hundreds of meters with micrometer-scale resolution using simple devices, including a laser diode, a portable camera, and a diffusely reflecting whiteboard. Unlike contemporary high-resolution imaging techniques, our method does not require labeling reagents, wavefront modulation, synthetic receive aperture, or ptychography scanning, which significantly reduce the complexity of the imaging system and enhance the application practicality. This method holds particular promise for in-vivo label-free dynamic biomedical microscopic imaging diagnosis and remote surveillance of small objects. This imaging method exceeds the diffraction limit of the camera lens used, achieving resolution improvement factors of 7.9, 25.4, and 58.2 for objects at distances of 1019.0 mm, 26.4 m, and 96.0 m.
作者机构：
[Liu, R; Wang, Zhiya; Hu, Xinyao; Liu, Shiquan; Tang, Haitao; Liu, Rong; Deng, Ningjie] Hunan City Univ, Coll Chem & Mat Engn, Hunan Prov Key Lab Dark Tea & Jin Hua, Yiyang 413000, Peoples R China.;[Wu, Zhaoyang; Liu, Rong; Liu, R; Wu, ZY] Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Peoples R China.
通讯机构：
[Liu, R ; Liu, R; Wu, ZY ] H;Hunan City Univ, Coll Chem & Mat Engn, Hunan Prov Key Lab Dark Tea & Jin Hua, Yiyang 413000, Peoples R China.;Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Peoples R China.
关键词：
AuNCs/ZIF-8;Determination of Sb3+ ions;Fluorescence quenching;Smartphone-assisted sensing
摘要：
Anovel smartphone-assisted fluorescence sensor was prepared for determination of antimony ions (Sb(3+)). It was synthesized by encapsulatingglutathione (GSH)-decorated gold nanoclusters (AuNCs) into zeolitic imidazolate frameworks (ZIF-8) (denoted as AuNCs/ZIF-8). Based on the strong fluorescence quenching caused by the addition of Sb(3+) ions, the AuNCs/ZIF-8 was designed for determination of Sb(3+) ions. The basic reason for fluorescence quenching of AuNCs caused by Sb(3+) ions is the reduction of Au (I) to Au (0), which is proved by the XPS. Mercury ions (Hg(2+)) and copper ions (Cu(2+)), the common interfering ions that can cause the strong quenching of AuNCs, can be masked by sodium borohydride (NaBH(4)) and diethylene triamine pentaacetic acid (DTPA), respectively. Therefore, the prepared fluorescent sensor of AuNCs/ZIF-8 has high selectivity to the Sb(3+) ions. Under the optimal conditions, this proposed fluorescence sensor exhibited good linearity in the concentration range 1.25 × 10(-8) to 7.5 × 10(-4)M with a limit of detection of 3.13 × 10(-9)M. Furthermore, this portable smartphone-assisted sensing platform based on AuNCs/ZIF-8 has the advantages of significant simplification and speeds ofthe operation process, which provides a new analytical method for real-time determinationanalysis of Sb(3+) ions in real samples.
