Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

Search Results (158)

Search Parameters:
Authors = Jianping Huang

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
17 pages, 1000 KiB  
Review
Mindfulness-Based Art Interventions for Students: A Meta-Analysis Review of the Effect on Anxiety
by Zhihui Zhu, Lin Xiao, Nor Aniza Ahmad, Samsilah Roslan, Nur Aimi Nasuha Burhanuddin, Jianping Gao and Cuihua Huang
Behav. Sci. 2025, 15(8), 1078; https://doi.org/10.3390/bs15081078 - 7 Aug 2025
Viewed by 467
Abstract
Anxiety has become an important issue affecting students’ mental health. There is some evidence that mindfulness-based art interventions (MBAIs) can reduce students’ anxiety symptoms. However, some studies have shown the opposite view. Therefore, it is necessary to explore whether MBAIs are effective in [...] Read more.
Anxiety has become an important issue affecting students’ mental health. There is some evidence that mindfulness-based art interventions (MBAIs) can reduce students’ anxiety symptoms. However, some studies have shown the opposite view. Therefore, it is necessary to explore whether MBAIs are effective in alleviating students’ anxiety. In this meta-analysis, we chose 17 articles that met the criteria for inclusion, involving a total of 1548 participants, to figure out how big an impact the interventions had on student anxiety as a whole. The results show that MBAIs can reduce students’ anxiety (g = −0.387, p = 0.000). The effect size varies based on different moderators, including learning stage, sample size, intervention type, research design, measuring instrument, and intervention duration. Intervention type, research design, and measuring instrument are significant moderators. Specifically, the mindfulness-based art intervention (MBAI) showed stronger effects than the mandala coloring activity. Single-group experimental designs showed significantly higher effect sizes than studies that included a control group, and studies that used other measurement instruments had significantly higher effect sizes than those that used the State–Trait Anxiety Inventory. On this basis, the researchers put forward specific suggestions based on MBAIs to alleviate the anxiety of students from different educational backgrounds. However, due to the nascent nature of this field, the number of included articles is relatively small. The effectiveness of the research needs further testing. Full article
Show Figures

Figure 1

18 pages, 8969 KiB  
Article
Hierarchical Joint Elastic Full Waveform Inversion Based on Wavefield Separation for Marine Seismic Data
by Guowang Han, Yuanyuan Li and Jianping Huang
J. Mar. Sci. Eng. 2025, 13(8), 1430; https://doi.org/10.3390/jmse13081430 - 27 Jul 2025
Viewed by 225
Abstract
In marine seismic surveys, towed streamers record only pressure data with limited offsets and insufficient low-frequency content, whereas Ocean Bottom Nodes (OBNs) acquire multi-component data with wider offset and sufficient low-frequency content, albeit with sparser spatial sampling. Elastic full waveform inversion (EFWI) is [...] Read more.
In marine seismic surveys, towed streamers record only pressure data with limited offsets and insufficient low-frequency content, whereas Ocean Bottom Nodes (OBNs) acquire multi-component data with wider offset and sufficient low-frequency content, albeit with sparser spatial sampling. Elastic full waveform inversion (EFWI) is used to estimate subsurface elastic properties by matching observed and synthetic data. However, using only towed streamer data makes it impossible to reliably estimate shear-wave velocities due to the absence of direct S-wave recordings and limited illumination. Inversion using OBN data is prone to acquisition footprint artifacts. To overcome these challenges, we propose a hierarchical joint inversion method based on P- and S-wave separation (PS-JFWI). We first derive novel acoustic-elastic coupled equations based on wavefield separation. Then, we design a two-stage inversion framework. In Stage I, we use OBN data to jointly update the P- and S-wave velocity models. In Stage II, we apply a gradient decoupling algorithm: we construct the P-wave velocity gradient by combining the gradient using PP-waves from both towed streamer and OBN data and construct the S-wave velocity gradient using the gradient using PS-waves. Numerical experiments demonstrate that the proposed method enhances the inversion accuracy of both velocity models compared with single-source and conventional joint inversion methods. Full article
(This article belongs to the Special Issue Modeling and Waveform Inversion of Marine Seismic Data)
Show Figures

Figure 1

16 pages, 5691 KiB  
Article
Balancing Urban Expansion and Food Security: A Spatiotemporal Assessment of Cropland Loss and Productivity Compensation in the Yangtze River Delta, China
by Qiong Li, Yinlan Huang, Jianping Sun, Shi Chen and Jinqiu Zou
Land 2025, 14(7), 1476; https://doi.org/10.3390/land14071476 - 16 Jul 2025
Viewed by 323
Abstract
Cropland is a critical resource for safeguarding food security. Ensuring both the quantity and quality of cropland is essential for achieving zero hunger and promoting sustainable agriculture. However, whether urbanization-induced cropland loss poses a substantial threat to regional food security remains a key [...] Read more.
Cropland is a critical resource for safeguarding food security. Ensuring both the quantity and quality of cropland is essential for achieving zero hunger and promoting sustainable agriculture. However, whether urbanization-induced cropland loss poses a substantial threat to regional food security remains a key concern. This study examines the central region of the Yangtze River Delta (YRD) in China, integrating CLCD (China Land Cover Dataset) land use/cover data (2001–2023), MOD17A2H net primary productivity (NPP) data, and statistical records to evaluate the impacts of urban expansion on grain yield. The analysis focuses on three components: (1) grain yield loss due to cropland conversion, (2) compensatory yield from newly added cropland under the requisition–compensation policy, (3) yield increases from stable cropland driven by agricultural enhancement strategies. Using Sen’s slope analysis, the Mann–Kendall trend test, and hot/coldspot analysis, we revealed that urban expansion converted approximately 14,598 km2 of cropland, leading to a grain production loss of around 3.49 million tons, primarily in the economically developed cities of Yancheng, Nantong, Suzhou, and Shanghai. Meanwhile, 8278 km2 of new cropland was added through land reclamation, contributing only 1.43 million tons of grain—offsetting just 41% of the loss. In contrast, stable cropland (102,188 km2) contributed an increase of approximately 9.84 million tons, largely attributed to policy-driven productivity gains in areas such as Chuzhou, Hefei, and Ma’anshan. These findings suggest that while compensatory cropland alone is insufficient to mitigate the food security risks from urbanization, the combined strategy of “Safeguarding Grain in the Land and in Technology” can more than compensate for production losses. This study underscores the importance of optimizing land use policy, strengthening technological interventions, and promoting high-efficiency land management. It provides both theoretical insight and policy guidance for balancing urban development with regional food security and sustainable land use governance. Full article
(This article belongs to the Special Issue Land Use Policy and Food Security: 2nd Edition)
Show Figures

Figure 1

22 pages, 5020 KiB  
Article
Upregulated Hexokinase-2 in Airway Epithelium Regulates Apoptosis and Drives Inflammation in Asthma via Peptidylprolyl Isomerase F
by Zhen Tian, Hongyan Zheng, Yan Fan, Boyu Li, Zhenli Huang, Meijia Wang, Jixian Zhang, Jianping Zhao, Shanshan Wang and Jungang Xie
Cells 2025, 14(13), 1004; https://doi.org/10.3390/cells14131004 - 1 Jul 2025
Viewed by 546
Abstract
Hexokinase catalyzes the first rate-limiting step glycolysis. However, the roles of hexokinase 2 (HK2) in asthma remain incompletely understood. This study aimed to investigate metabolic alterations in asthma, focusing on the expression, function and regulation of HK2. In this study, non-targeted metabolomics analysis [...] Read more.
Hexokinase catalyzes the first rate-limiting step glycolysis. However, the roles of hexokinase 2 (HK2) in asthma remain incompletely understood. This study aimed to investigate metabolic alterations in asthma, focusing on the expression, function and regulation of HK2. In this study, non-targeted metabolomics analysis of 20 asthma patients and 15 healthy controls identified metabolic alterations in asthma, particularly in the glycolytic pathways. Consistently, HK2 expression was elevated in both asthma individuals and mice with allergic airway inflammation. Airway epithelium–specific HK2 knockdown and pharmacological inhibition with 2-deoxy-D-glucose (2-DG) significantly attenuated airway inflammation and hyperresponsiveness in mice induced by ovalbumin/ lipopolysaccharide. Mechanistic analyses demonstrated that HK2 regulates epithelial apoptosis and inflammation via interaction with peptidylprolyl isomerase F (PPIF), independent of voltage-dependent anion channel 1 (VDAC1). Asthma is associated with metabolic reprogramming, characterized by alterations in lipid and glucose metabolism. These findings establish HK2 plays a crucial role in asthma pathogenesis by promoting airway epithelial apoptosis and inflammation in asthma, suggesting its potential as a therapeutic target. Full article
Show Figures

Figure 1

26 pages, 589 KiB  
Review
Strategies for Efficient Utilization of Corn Distillers Dried Grains with Solubles in Diets of Pigs: A Review
by Chunsheng Wang, Xinru Huang, Xue Liu, Ruixue Wang, Jianping Li, Qingwei Meng and Anshan Shan
Animals 2025, 15(12), 1727; https://doi.org/10.3390/ani15121727 - 11 Jun 2025
Viewed by 1767
Abstract
With the increasing demand for ethanol fuel, corn distillers dried grains with solubles (DDGS) production is increasing annually. Current global ethanol output is approximately 120–130 billion liters annually, of which bioethanol constitutes 90–95% of total production. Corn DDGS is widely used as a [...] Read more.
With the increasing demand for ethanol fuel, corn distillers dried grains with solubles (DDGS) production is increasing annually. Current global ethanol output is approximately 120–130 billion liters annually, of which bioethanol constitutes 90–95% of total production. Corn DDGS is widely used as a feed ingredient for pigs due to its low cost and crude protein content ranging from 19% to 34%. However, corn DDGS is not effectively utilized because of factors such as raw material sources and inadequate drying processes, and a large portion of it is wasted and lost. It has become a difficult challenge to use DDGS in pig diets because of its weaknesses, including being rich in fiber and polyunsaturated fatty acids, which can lead to decreases in growth performance, feed conversion, and the pork shelf life of pigs. In recent years, researchers focusing on ways to improve the effective utility of corn DDGS in pig diets have made some progress. In this study, we review the nutritional characteristics of corn DDGS; the limiting factors in pig production, such as the higher concentration of non-starch polysaccharides, linoleic acid, and zein in corn DDGS; and the current improvement measures being taken to provide a reference for the improved utilization of corn DDGS resources in the diets of pigs. Full article
(This article belongs to the Section Animal Nutrition)
Show Figures

Graphical abstract

15 pages, 3289 KiB  
Article
Enhancing the Catalytic Performance of PdNPs for Cr(VI) Reduction by Increasing Pd(0) Content
by Hongfei Lai, Ling Tan, Zhenkun Shi, Shiyi Huang, Wenjia Yu, Guotong Wei, Jianping Xie, Shuang Zhou and Chaoyu Tian
Microorganisms 2025, 13(6), 1346; https://doi.org/10.3390/microorganisms13061346 - 10 Jun 2025
Viewed by 428
Abstract
Hexavalent chromium [Cr(VI)] is a hazardous environmental contaminant, and palladium nanoparticles (PdNPs) have shown promise as catalysts for its reduction. This study explores the primary factor influencing the catalytic performance of PdNPs in Cr(VI) reduction by investigating the crystal structure and composition of [...] Read more.
Hexavalent chromium [Cr(VI)] is a hazardous environmental contaminant, and palladium nanoparticles (PdNPs) have shown promise as catalysts for its reduction. This study explores the primary factor influencing the catalytic performance of PdNPs in Cr(VI) reduction by investigating the crystal structure and composition of PdNPs in fungal-based catalysts. Five Pd-loaded catalysts were synthesized by treating fungal biomass with different chemical reagents, resulting in varying Pd(0) contents. The nanoparticle morphology, chemical states, and functional group interactions during Pd adsorption and reduction were investigated using multiple analytical techniques. The results showed that fungal hyphae remained structurally intact throughout the treatment process. PdNPs smaller than 2 nm were observed, with both Pd(0) and PdO present. The proportion of Pd(0) ranged from 6.4% to 37.2%, depending on the chemical reagent used. In addition, functional groups such as phosphate, amine, hydroxyl, and carboxyl were found to play key roles in palladium binding, underscoring the importance of surface chemistry in the adsorption and reduction process. A strong positive correlation was observed between the Pd(0) content and catalytic activity. Notably, the NCPdSF sample (palladium-loaded biomass treated with sodium formate) exhibited the highest Pd(0) content of 59.2% and achieved the most effective Cr(VI) reduction. These results suggest that Pd(0) content is a key determinant of catalytic efficiency in Cr(VI) reduction and that optimizing chemical treatments to enhance Pd(0) levels can substantially improve catalyst performance. Full article
(This article belongs to the Special Issue Biotechnology for Environmental Remediation)
Show Figures

Figure 1

18 pages, 6877 KiB  
Article
Machine Learning-Enhanced 3D GIS Urban Noise Mapping with Multi-Modal Factors
by Jianping Pan, Yuzhe He, Wei Ma, Shengwang An, Lu Li, Dan Huang and Dunxin Jia
ISPRS Int. J. Geo-Inf. 2025, 14(6), 223; https://doi.org/10.3390/ijgi14060223 - 4 Jun 2025
Viewed by 923
Abstract
Geographic Information System (GIS)-based noise management is crucial in urban environments as it provides precise spatial analysis, helping to identify noise hotspots and optimize noise control measures. By integrating noise propagation models with GIS technology, dynamic simulation and visualization of noise distribution can [...] Read more.
Geographic Information System (GIS)-based noise management is crucial in urban environments as it provides precise spatial analysis, helping to identify noise hotspots and optimize noise control measures. By integrating noise propagation models with GIS technology, dynamic simulation and visualization of noise distribution can be achieved, offering scientific support for urban planning and noise management. Most existing noise prediction models fail to fully account for three-dimensional (3D) spatial information and a wide range of environmental factors. As a result, there are often discrepancies between the actual noise measurements at monitoring points and the predicted values generated by these models. Furthermore, there is a lack of a system that can effectively integrate noise data with three-dimensional scenes for simulation. This paper proposes a new method to simulate urban noise propagation, aiming to achieve more accurate noise prediction and visualization in a three-dimensional environment. First, we computed the preliminary noise propagation based on a traffic noise model. Next, machine learning techniques were applied to analyze the relationship between noise discrepancies and multi-modal factors, thereby improving the accuracy of environmental noise level estimation. Based on this, we developed an urban noise simulation system. The system integrates functions such as noise simulation, traffic simulation, and weather changes, enabling accurate noise visualization within a three-dimensional virtual environment. Experimental results demonstrate that this method enhances the accuracy of urban noise prediction and visualization, providing users with a more comprehensive understanding of the spatial distribution of urban noise. Full article
Show Figures

Figure 1

13 pages, 5592 KiB  
Article
Effects of Warm Rolling Temperature on Microstructure and Texture Evolution in Cu–10Fe Alloy Sheets
by Baosen Lin, Dongxiao Wang, Shuai Tang, Su Huang and Jianping Li
Metals 2025, 15(6), 606; https://doi.org/10.3390/met15060606 - 28 May 2025
Viewed by 364
Abstract
This study systematically investigates the influence of rolling temperature (cold rolling to 500 °C) on the microstructure and properties of Cu–10Fe alloy. The results show that with an increasing temperature, the Fe phase morphology transitions gradually from fibrous to spherical/ellipsoidal, while the Cu [...] Read more.
This study systematically investigates the influence of rolling temperature (cold rolling to 500 °C) on the microstructure and properties of Cu–10Fe alloy. The results show that with an increasing temperature, the Fe phase morphology transitions gradually from fibrous to spherical/ellipsoidal, while the Cu grain size first decreases and then increases. At 500 °C rolling, a bimodal structure forms (fine recrystallized grains coordinate deformation, and coarse grains provide strengthening), with dynamic recovery significantly reducing dislocation density, but the recrystallization rate remains only 11.9%. Texture analysis reveals that in the cold-rolled state, Brass-R texture (2.45) dominates, resulting in low elongation (1.96%). At 400–450 °C, the synergistic effect of Goss and Copper textures (6.9–13.82) improves elongation to 7.03%. At 500 °C, Brass texture (14.58) becomes dominant, increasing elongation to 9.21%, and tensile strength rises from 443 MPa to 472 MPa. Electrical conductivity increases from 10.09% IACS (cold-rolled) to 19.43% IACS (500 °C), mainly due to dynamic recovery and Fe precipitation alleviating lattice distortion. Full article
Show Figures

Figure 1

16 pages, 532 KiB  
Article
The Impact of Work Connectivity Behavior on Employee Time Theft: The Role of Revenge Motive and Leader–Member Exchange
by Cuiying Wang, Jianfeng Huang and Jianping Zhu
Behav. Sci. 2025, 15(6), 738; https://doi.org/10.3390/bs15060738 - 27 May 2025
Viewed by 858
Abstract
Organizations have long been actively seeking ways to reduce unethical behavior among employees. However, employee time theft is widespread and costly across various industries, and related research remains relatively limited. Therefore, this study employed social exchange theory to empirically investigate how and when [...] Read more.
Organizations have long been actively seeking ways to reduce unethical behavior among employees. However, employee time theft is widespread and costly across various industries, and related research remains relatively limited. Therefore, this study employed social exchange theory to empirically investigate how and when work connectivity behavior promotes employee time theft. Drawing on a sample of 330 employees, our findings indicate that work connectivity behavior positively impacts employee time theft by triggering revenge motives among employees. Furthermore, it was discovered that leader–member exchange weakens both the direct effect of work connectivity behavior on revenge motive and the indirect effect of work connectivity behavior on employee time theft via revenge motive. This research developed and elucidated a moderated mediation model, providing valuable insights for both theory and practice. Full article
(This article belongs to the Special Issue Workplace Health and Wellbeing)
Show Figures

Figure 1

16 pages, 8638 KiB  
Article
Rapid Heating-Driven Variant Selection and Martensitic Refinement for Superior Strength–Ductility Synergy
by Siming Huang, Liejun Li, Haixiao Ye, Xianqiang Xing, Jianping Ouyang, Zhuoran Li, Xinkui Zhang, Songjun Chen and Zhengwu Peng
Materials 2025, 18(11), 2488; https://doi.org/10.3390/ma18112488 - 26 May 2025
Cited by 1 | Viewed by 563
Abstract
This study elucidates the influence of rapid heating (300 °C/s) on martensitic transformation pathways, crystallographic variant selection, and the resulting mechanical performance in a medium-carbon steel. Compared with conventional heating, rapid heating markedly refines the prior austenite grain (PAG) and martensitic substructures, reducing [...] Read more.
This study elucidates the influence of rapid heating (300 °C/s) on martensitic transformation pathways, crystallographic variant selection, and the resulting mechanical performance in a medium-carbon steel. Compared with conventional heating, rapid heating markedly refines the prior austenite grain (PAG) and martensitic substructures, reducing the mean PAG size from 16.08 μm to 5.06 μm and the martensitic block size from 4.24 μm to 2.41 μm. The accelerated austenitizing and quenching promote a higher density of high-angle grain boundaries (HAGBs) and favor variant selection dominated by the closely packed (CP) group. Σ3 twin boundaries are also found to assist variant nucleation and contribute to microstructural complexity. Despite a marginal decrease in tensile strength, rapid-heated steels exhibit significantly enhanced ductility and a 28.3% increase in the product of strength and elongation (PSE) compared to their conventionally treated counterparts. These findings demonstrate that rapid heating not only enables effective refinement of martensitic substructures but also offers a powerful means of controlling variant evolution, thereby achieving a superior strength–ductility synergy in martensitic steels. Full article
(This article belongs to the Section Metals and Alloys)
Show Figures

Figure 1

17 pages, 5810 KiB  
Article
The Effect of GB1 on DSS-Induced Colitis in WT and Nlrp3-/- Mice
by Ziyi Zhou, Lixian Wang, Ruhe Liao, Qin Chen, Changhui Liu, Jianping Song, Changsheng Deng and Xinan Huang
Int. J. Mol. Sci. 2025, 26(9), 4016; https://doi.org/10.3390/ijms26094016 - 24 Apr 2025
Viewed by 1184
Abstract
This study investigated the protective effects of Garcinia biflavonoid 1 (GB1) against dextran sulfate sodium (DSS)-induced ulcerative colitis and its underlying mechanisms. Using wild-type (WT) and NLRP3 knockout (Nlrp3-/-) mice, we demonstrated that GB1 administration significantly ameliorated colitis symptoms, as evidenced [...] Read more.
This study investigated the protective effects of Garcinia biflavonoid 1 (GB1) against dextran sulfate sodium (DSS)-induced ulcerative colitis and its underlying mechanisms. Using wild-type (WT) and NLRP3 knockout (Nlrp3-/-) mice, we demonstrated that GB1 administration significantly ameliorated colitis symptoms, as evidenced by improved body weight, disease activity index (DAI) scores, colon length, and histological damage in WT mice. Mechanistically, GB1 downregulated pro-inflammatory mediators (IL-6, NF-κB, and CD11b) while attenuating the expression of NLRP3 inflammasome components (ASC, Caspase-1, and IL-1β). Notably, these protective effects were abolished in Nlrp3-/- mice, confirming the essential role of NLRP3 in GB1-mediated mitigation of colitis. Furthermore, GB1 reinforced intestinal barrier integrity by preserving tight junctions, reducing permeability, and attenuating mucosal inflammation. Collectively, our findings highlight GB1 as a promising therapeutic candidate for colitis treatment, primarily through NLRP3 inflammasome suppression and intestinal barrier restoration. Full article
(This article belongs to the Section Molecular Immunology)
Show Figures

Figure 1

16 pages, 11788 KiB  
Article
Plasma Metabolic Profiles of Chronic and Recurrent Uveitis Treated by Artesunate in Lewis Rats
by Xinyi Gong, Jingchuan Fan, Hui Huang, Fei Xu, Kaijiao Hu, Jianping Liu, Yi Tan and Feilan Chen
Biomedicines 2025, 13(4), 821; https://doi.org/10.3390/biomedicines13040821 - 28 Mar 2025
Viewed by 2749
Abstract
Background/Objectives: Identifying effective and safe treatment options for non-infectious uveitis remains challenging due to chronic and relapsing ocular inflammation. Previous studies have shown that artesunate (ART) plays an immunosuppressive role in several classic autoimmune diseases, including uveitis. However, its impact on the [...] Read more.
Background/Objectives: Identifying effective and safe treatment options for non-infectious uveitis remains challenging due to chronic and relapsing ocular inflammation. Previous studies have shown that artesunate (ART) plays an immunosuppressive role in several classic autoimmune diseases, including uveitis. However, its impact on the plasma metabolic profile of recurrent autoimmune uveitis remains unclear. This study aims to explore the effect of ART on the plasma metabolic features of recurrent experimental autoimmune uveitis (EAU) in a Lewis rat. Methods: Rats were clinically and pathologically evaluated for the development of recurrent EAU induced by inter-photoreceptor retinoid-binding protein (IRBP) R16 peptide-specific T-cells (tEAU). The disruptive effects of ART on tEAU were investigated to evaluate the potential role of rat recurrent EAU. Differentially expressed metabolites were identified in the plasma of rats by untargeted metabolomics analysis after ART treatment. The differential metabolites were applied to subsequent pathway analysis and biomarker analysis by MetaboAnalyst. Results: ART can significantly alleviate the severity of clinical signs and pathological injuries of eyeballs with tEAU. Both non-supervised principal component analysis and orthogonal partial least-squares discriminant analysis showed 84 differential metabolites enriched in 16 metabolic pathways in the tEAU group compared with heathy controls and 51 differential metabolites enriched in 17 metabolic pathways, including arginine and proline metabolism, alanine metabolism, and aminoacyl-tRNA biosynthesis, in the ART-treated group compared with the tEAU group. Particularly, upregulated L-alanine levels in both alanine metabolism and aminoacyl-tRNA biosynthesis were associated with T-cell activation, while elevated spermidine and N-acetyl putrescine levels in arginine and proline metabolism related to T-cell differentiation proved to be valuable biomarkers for ART treatment. Conclusions: Our study demonstrates that ART treatment can alleviate recurrent uveitis by altering the plasma metabolic characteristics associated with T-cell activation and differentiation, which might provide novel insights for potential therapeutic treatments. Full article
(This article belongs to the Section Endocrinology and Metabolism Research)
Show Figures

Figure 1

20 pages, 11840 KiB  
Article
Effect of Trace Er Addition on the Microstructural Evolution and Heat Resistance Properties of an Al-Zn-Mg-Cu Alloy During High Temperature Tensile and Thermal Exposure
by Juangang Zhao, Ruizhi Zhang, Ruiting Li, Yu Liu, Song Bai, Xuetong Zhao, Jianquan Sang, Jianping Huang, Chunquan Liu, Xinbin Liu and Fuming Du
Coatings 2025, 15(4), 368; https://doi.org/10.3390/coatings15040368 - 21 Mar 2025
Cited by 1 | Viewed by 444
Abstract
High temperature tensile properties and long-term thermal stability play an important role in practical applications of Al-Zn-Mg-Cu alloys. In order to evaluate the effect of Er addition on the properties of an Al-Zn-Mg-Cu alloy as potential high temperature structural materials, the heat resistance [...] Read more.
High temperature tensile properties and long-term thermal stability play an important role in practical applications of Al-Zn-Mg-Cu alloys. In order to evaluate the effect of Er addition on the properties of an Al-Zn-Mg-Cu alloy as potential high temperature structural materials, the heat resistance properties of an Al-Zn-Mg-Cu alloy were investigated at various temperatures. After high temperature tensile testing and long periods of heat exposure testing, the microstructures of Al-Zn-Cu-Mg alloys with and without small Er addition is intentionally investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), and quantitative transmission electron microscopy (TEM) characterization to explore the potential effect of Er on the tensile properties. The experimental results reveal that the heat resistance of T76-tempered Al-Zn-Cu-Mg alloy is obviously improved by adding trace Er. The Al8Cu4Er phase is found to segregate at the localized regions along grain boundaries and strengthens the grain boundaries at elevated temperatures. The η′ and η precipitation is obviously promoted by adding trace Er, and dispersed nano-sized Al3(Er, Zr) precipitates were formed in the Er-containing alloys after homogenization, thereby enhancing the strength of Al-Zn-Mg-Cu. In addition, precipitates in both alloys gradually coarsen with the increase in thermal exposure temperature and the extension of thermal exposure time. The influence of precipitates on mechanical properties of the investigatived alloy after thermal exposure is also discussed. Full article
Show Figures

Figure 1

13 pages, 2709 KiB  
Article
Study on Large-Scale Geomechanical Experiments on Tunnel External Water Pressure
by Wei Huang, Mingtao Hu, Rubin Wang, Jianping Zhang and Weiya Xu
Water 2025, 17(7), 913; https://doi.org/10.3390/w17070913 - 21 Mar 2025
Cited by 1 | Viewed by 589
Abstract
High external water pressure poses significant challenges to the construction of long-distance water diversion tunnels under complex geological conditions. This study developed a large-scale geomechanics model to explore the effects of tunnel depth, water head, and drained conditions on external water pressure, focusing [...] Read more.
High external water pressure poses significant challenges to the construction of long-distance water diversion tunnels under complex geological conditions. This study developed a large-scale geomechanics model to explore the effects of tunnel depth, water head, and drained conditions on external water pressure, focusing on the Songlin Tunnel in the Central Yunnan Water Diversion Project. The results show that external water pressure is most affected by water head and tunnel depth, particularly under undrained conditions. At water heads over 160 m, the external water pressure significantly decreases with an increasing tunnel depth. The suggested coefficients are 0.65–0.80 for shallowly buried tunnels with high water heads and 0.50–0.65 for deeply buried tunnels with low water heads. For drained conditions, the recommended reduction coefficients are 0.30–0.55 for the arch vault and spandrels. For the haunch, arch springing, and arch bottom, the suggested coefficients are 0.50 to 0.60 under the low water head and 0.40 to 0.60 under the high water head. These findings offer practical guidance for the design and safety of hydraulic tunnels under high external water pressure. Full article
(This article belongs to the Topic Carbon-Energy-Water Nexus in Global Energy Transition)
Show Figures

Figure 1

19 pages, 3629 KiB  
Article
Efficient Hydrogen Production by Aqueous Phase Reforming of Ethylene Glycol over Ni-W Catalysts with Enhanced C-C Bond Cleavage Activity
by Ling Xie, Zilong Huang, Yapeng Zhan, Jiahao Huang, Chao Wang, Riyang Shu, Junyao Wang, Libin Lei, Jianping Liu, Zhipeng Tian and Ying Chen
Catalysts 2025, 15(3), 258; https://doi.org/10.3390/catal15030258 - 7 Mar 2025
Cited by 1 | Viewed by 1104
Abstract
Cleavage of C-C bonds is crucial for hydrogen production via aqueous phase reforming of biomass-derived oxygenates. In this study, the hydrogen production performance and C-C bond cleavage capacity of Ni-W/AC catalysts with varying W/Ni ratios are evaluated using ethylene glycol as a model [...] Read more.
Cleavage of C-C bonds is crucial for hydrogen production via aqueous phase reforming of biomass-derived oxygenates. In this study, the hydrogen production performance and C-C bond cleavage capacity of Ni-W/AC catalysts with varying W/Ni ratios are evaluated using ethylene glycol as a model compound. A series of APR experiments conducted suggests that Ni-0.2W/AC catalyst exhibits the highest C1/C2+ ratio of 15.87 and achieves a hydrogen yield of 47.76%. The enhanced Ni-W bimetallic interactions, which significantly improve the efficiency of C-C bond cleavage and increase catalyst activity by promoting active site dispersion, are confirmed by detailed characterization techniques. Further analysis of product distribution provides insights into the reaction pathways of ethylene glycol and the reaction mechanism for ethanol during aqueous phase reforming. All the results indicate that this catalytic reforming method effectively facilitates C-C bond cleavage and hydrogen production, contributing to a better understanding of APR mechanisms for biomass-derived oxygenates. Full article
(This article belongs to the Special Issue Catalytic Processes for Green Hydrogen Production)
Show Figures

Graphical abstract

Back to TopTop