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Identification of an(AlNi2)@(YNi3+Cr2O3+Hf)heterogeneous nano core-shell structure and triple oxide barrier in enhancing thermal stability in Fe18Co18Cr18Ni36Al9Y0.5Hf0.5high-entropy coatings 认领 引用
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作者 Zekun Xu Yanhui Hou Guangqiang Li 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第4期1187-1202,I0006,共16页
This study innovatively prepared a high-performance Fe18Co18Cr18Ni36Al9Y0.5Hf0.5high-entropy alloy coating via laser cladding.The coating features a stable face-centered cubic(FCC)solid solution p... This study innovatively prepared a high-performance Fe18Co18Cr18Ni36Al9Y0.5Hf0.5high-entropy alloy coating via laser cladding.The coating features a stable face-centered cubic(FCC)solid solution phase and a unique nanoscale(AlNi2)@(YNi3+Cr2O3+Hf)core-shell structure.The study also proposed a triple oxide barrier design using Cr,Y,and Al,enhancing oxide stability and compactness.The oxide layer forms Cr2O3outer shell and Al2O3+Y2O3bonding layer,effectively blocking oxygen and reducing oxidation rate.This structure promotes Hf distribution and rare earth element activity.The high-entropy alloy with this nano core-shell structure,featuring a Cr2O3outer shell,an Al2O3and Y2O3triple oxide barrier bonding layer and uniformly dispersed rare earth elements,effectively prevents further contact between oxygen and metal,and reduces the oxidation rate. 展开更多
关键词 High-entropy alloys coatings Laser cladding Nano core-shell structure Oxidation resistance Rare earths
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A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection 认领 引用 被引量：2
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作者 Chao Li Keyi Li +3 位作者 Yu Ji Zekun Xu Juntao Gu Weipeng Jing 《Journal of Forestry Research》 SCIE EI CAS CSCD 2024年第6期267-278,共12页
Pine wood nematode infection is a devastating disease.Unmanned aerial vehicle(UAV)remote sensing enables timely and precise monitoring.However,UAV aerial images are challenged by small target size and complex sur-face... Pine wood nematode infection is a devastating disease.Unmanned aerial vehicle(UAV)remote sensing enables timely and precise monitoring.However,UAV aerial images are challenged by small target size and complex sur-face backgrounds which hinder their effectiveness in moni-toring.To address these challenges,based on the analysis and optimization of UAV remote sensing images,this study developed a spatio-temporal multi-scale fusion algorithm for disease detection.The multi-head,self-attention mechanism is incorporated to address the issue of excessive features generated by complex surface backgrounds in UAV images.This enables adaptive feature control to suppress redundant information and boost the model’s feature extraction capa-bilities.The SPD-Conv module was introduced to address the problem of loss of small target feature information dur-ing feature extraction,enhancing the preservation of key features.Additionally,the gather-and-distribute mechanism was implemented to augment the model’s multi-scale feature fusion capacity,preventing the loss of local details during fusion and enriching small target feature information.This study established a dataset of pine wood nematode disease in the Huangshan area using DJI(DJ-Innovations)UAVs.The results show that the accuracy of the proposed model with spatio-temporal multi-scale fusion reached 78.5%,6.6%higher than that of the benchmark model.Building upon the timeliness and flexibility of UAV remote sensing,the pro-posed model effectively addressed the challenges of detect-ing small and medium-size targets in complex backgrounds,thereby enhancing the detection efficiency for pine wood nematode disease.This facilitates early preemptive preser-vation of diseased trees,augments the overall monitoring proficiency of pine wood nematode diseases,and supplies technical aid for proficient monitoring. 展开更多
关键词 Pine wood nematode disease UAV remote sensing Object detection Deep learning YOLOv8
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Lamellar structure changes in rice starch during α-amylase hydrolysis:Effect of starch granule surface and channel proteins 认领 引用 被引量：4
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作者 Xiaoning Liu Zekun Xu +4 位作者 Xingxun Liu Chuangchuang Zhang Mengting Ma Zhongquan Sui Harold Corke 《Food Bioscience》 SCIE 2024年第5期1518-1527,共10页
Starch granule surface and channel proteins(GSCP)or starch granule channel proteins(GCP)were respectively removed from waxy and non-waxy rice starches.The effects ofα-amylase hydrolysis on the lamellar structure chan... Starch granule surface and channel proteins(GSCP)or starch granule channel proteins(GCP)were respectively removed from waxy and non-waxy rice starches.The effects ofα-amylase hydrolysis on the lamellar structure changes of rice starches were examined by small-angle X-ray scattering(SAXS).SAXS revealed that the scattering peaks of hydrolyzed starch granules were broadened.The result was also evidenced by the decreased peak areas(A)and increased peak width at half-maximum(W).Theα-amylase hydrolysis of starches could induce a transformation from a mass to a surface fractal and increase the compactness of starches.Moreover,the thickness of amorphous lamellae(da)decreased and that of crystalline lamellae(dc)increased for starches after hydrolysis.Hydrolyzed starches exhibited a higher proportion of short-branch chains(fa)and long-branch chains(fb3)compared to their native form,indicating thatα-amylase mainly attacked the long molecular chain of amylo-pectin with branch points in the amorphous lamellae.Removal of GSCP accelerated and exacerbated the decrease in da and the increase in dc.Further,GSCP removal brought on the formation of less compact starch during long-time hydrolysis.Overall,the results demonstrated that GSCP removal had significant impacts on structural changes duringα-amylase hydrolysis from lamellar to molecular scales. 展开更多
关键词 Rice starch Starch granule surface and channel proteins(GSCP) Starch granule channel proteins α-amylase hydrolysis Lamellar structure
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