期刊：
Journal of Alloys and Compounds,2025年1041:183871 ISSN：0925-8388
通讯作者：
Wang, Jinshuang;Jing, QS
作者机构：
[Tian, Yongshang; Xu, Yiyan; Lu, Xianjun; Jing, Qiangshan; Ke, Shunan; Wang, Yinghui; Zhang, Meng; Wang, Jinshuang] Xinyang Normal Univ, Henan Key Lab Utilizat Nonmet Mineral South Henan, Xinyang 464000, Peoples R China.;[Sun, Junbin] Hengyang Normal Univ, Coll Chem & Mat Sci, Hengyang 421008, Peoples R China.
通讯机构：
[Wang, JS; Jing, QS ] X;Xinyang Normal Univ, Henan Key Lab Utilizat Nonmet Mineral South Henan, Xinyang 464000, Peoples R China.
关键词：
Ceramic;CMAS+NaVO3;Corrosion mechanisms;TBCs
摘要：
Five mixed corrosion media with varying CMAS/NaVO₃ ratios (CxV10-x, where x denotes the mass percentage of CMAS) were designed in this study and coupled corrosion tests were conducted on Gd₂(Hf₀.₇Ce₀.₃)₂O₇ (GH7C3) ceramic bulks at 1200 °C and 1400 °C. The results indicated that the incorporation of NaVO₃ influences on the self-crystallization behavior of CMAS. Its depolymerization effect enhances the fluidity of CMAS, thereby accelerating the corrosion process of GH7C3 ceramics by the CxV10-x mixed media. Regarding corrosion products, distinct variations were observed: the corrosion product formed in the C0V10/GH7C3 system was identified as GdVO₄, whereas apatite was the dominant corrosion product in other CxV10-x/GH7C3 systems. As the temperature increased to 1400 °C, the types of corrosion products remained relatively unchanged; however, the quantity of self-crystallized products decreased significantly compared to that at 1200 °C. This suggests that temperature affects the precipitation of self-crystallized products in the CxV10-x/GH7C3 systems. Furthermore, an increase in corrosion temperature led to a significant increase in the corrosion depth of GH7C3 ceramics. At 1400 °C, through-thickness corrosion occurred, accompanied by cracking and spalling.
Five mixed corrosion media with varying CMAS/NaVO₃ ratios (CxV10-x, where x denotes the mass percentage of CMAS) were designed in this study and coupled corrosion tests were conducted on Gd₂(Hf₀.₇Ce₀.₃)₂O₇ (GH7C3) ceramic bulks at 1200 °C and 1400 °C. The results indicated that the incorporation of NaVO₃ influences on the self-crystallization behavior of CMAS. Its depolymerization effect enhances the fluidity of CMAS, thereby accelerating the corrosion process of GH7C3 ceramics by the CxV10-x mixed media. Regarding corrosion products, distinct variations were observed: the corrosion product formed in the C0V10/GH7C3 system was identified as GdVO₄, whereas apatite was the dominant corrosion product in other CxV10-x/GH7C3 systems. As the temperature increased to 1400 °C, the types of corrosion products remained relatively unchanged; however, the quantity of self-crystallized products decreased significantly compared to that at 1200 °C. This suggests that temperature affects the precipitation of self-crystallized products in the CxV10-x/GH7C3 systems. Furthermore, an increase in corrosion temperature led to a significant increase in the corrosion depth of GH7C3 ceramics. At 1400 °C, through-thickness corrosion occurred, accompanied by cracking and spalling.
作者机构：
[Liu, Xiang; He, Jia; Sun, Wenqi; Wu, Fuling; Sun, Huajun] Wuhan Univ Technol, Sch Mat Sci & Engn, Wuhan 430070, Peoples R China.;[Wu, Fuling; Sun, Huajun] Wuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Peoples R China.;[Sun, Wenqi; Sun, Huajun] Adv Ceram Inst Zibo New & High Tech Ind Dev Zone, Zibo 255000, Peoples R China.;[Liu, Xiaofang] Wuhan Univ Technol, Sch Chem Chem Engn & Life Sci, Wuhan 430070, Peoples R China.;[Xiao, Shibing] Hengyang Normal Univ, Coll Chem & Mat Sci, Hengyang 421008, Peoples R China.
通讯机构：
[Sun, HJ ; Liu, XF ] W;Wuhan Univ Technol, Sch Mat Sci & Engn, Wuhan 430070, Peoples R China.;Wuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Peoples R China.;Adv Ceram Inst Zibo New & High Tech Ind Dev Zone, Zibo 255000, Peoples R China.;Wuhan Univ Technol, Sch Chem Chem Engn & Life Sci, Wuhan 430070, Peoples R China.
摘要：
The potential of hafnia-based ferroelectric materials for Ferroelectric Random Access Memory (FeRAM) applications is limited by the imprint effect, which compromises readout reliability. Here, we systematically investigate the asymmetric imprint behavior in W/Hf(0.5)Zr(0.5)O(2)/W ferroelectric capacitors, demonstrating that the imprint direction correlates directly with the ferroelectric polarization state. Notably, a pre-pulse of specific polarity can temporarily suppress the imprint effect. Combined experimental and theoretical analyses reveal that the directional segregation of oxygen vacancies (V(O)) at the electrode/ferroelectric interface, coupled with their dynamic charge trapping and detrapping processes, constitutes the core mechanism driving the imprint phenomenon. These processes modulate the built-in electric field, resulting in a shift of the coercive voltage. Building on these findings, we propose an oxygen vacancy segregation-charge trapping model that accounts for critical observations, including the dependence of imprint direction on polarization history and its reversible modulation by pre-pulses. Leveraging this model, we introduce three practical strategies for imprint recovery: charge compensation, oxygen vacancy redistribution, and the design of a bidirectional alternating polarization circuit architecture. Experimental results confirm that these approaches markedly enhance the device's resilience to imprinting, offering innovative pathways to address the reliability challenges of hafnia-based FeRAM.
期刊：
FRONTIERS IN PSYCHOLOGY,2025年16:1626816 ISSN：1664-1078
通讯作者：
Chen, B
作者机构：
[Chen, Bin; Zhou, Rongji] Hengyang Normal Univ, Coll Econ & Management, Rural Ind Revitalizat Res Ctr, Hengyang, Hunan, Peoples R China.
通讯机构：
[Chen, B ] H;Hengyang Normal Univ, Coll Econ & Management, Rural Ind Revitalizat Res Ctr, Hengyang, Hunan, Peoples R China.
关键词：
college students;motivational mechanism;rural revitalization strategy;theory of planned behavior;willingness to participate
摘要：
Grounded in the Theory of Planned Behavior (TPB), this study develops a framework comprising five core constructs: rural revitalization cognition, behavioral attitude, subjective norm, perceived behavioral control, and willingness to participate. Drawing on the "Furong Scholars • Rural Revitalization" program in Hunan, China, we surveyed 634 college students and employed SEM, mediation analysis, and DEMATEL to explore the micro-level motivational mechanisms influencing their participation willingness. The key findings are as follows: (1) Individual and social factors significantly affect willingness to participate. Female students, those with urban household registration, humanities and social sciences majors, students with higher academic qualifications, and those with stronger political consciousness exhibit greater willingness to participate. (2) Rural revitalization cognition is central to the motivational system as a strong causal factor (centrality = 1.115), positively influencing behavioral attitude, subjective norm, perceived behavioral control, and participation willingness. (3) Behavioral attitude (p < 0.05), subjective norm (p < 0.001), and perceived behavioral control (p < 0.001) all significantly enhance willingness to participate, with subjective norm and perceived behavioral control showing stronger path effects. Moreover, these three variables act as key mediators between rural revitalization cognition and willingness to participate, forming crucial motivational pathways. These findings deepen the theoretical understanding of college students' behavioral motivations in the context of rural revitalization and offer empirical insights for designing more targeted and effective policy interventions. Specifically, enhancing students' cognition of rural revitalization, strengthening social normative support, and improving self-efficacy are identified as vital levers for increasing their willingness to engage in rural development initiatives.
期刊：
International Journal of Biological Macromolecules,2025年320(Pt 3):145752 ISSN：0141-8130
通讯作者：
Liu, Jing;Wang, LJ;Yuan, F
作者机构：
[Liu, Jing; Wang, Lijia; Li, Yang; Zheng, Zefeng; Liu, Yongjie] Zhejiang Univ, Childrens Hosp, Natl Clin Res Ctr Child Hlth, Natl Childrens Reg Med Ctr,Sch Med, Hangzhou 310052, Peoples R China.;[Liu, Jing; Wang, Lijia; Li, Yang; Zheng, Zefeng; Liu, Yongjie] Zhejiang Key Lab Neonatal Dis, Hangzhou 310052, Peoples R China.;[Cui, Ying] Hengyang Normal Univ, Coll Chem & Mat Sci, Key Lab Funct Met Organ Cpds Hunan Prov, Hengyang 421001, Peoples R China.;[Zhang, Boyou] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Thorac Surg, Hangzhou 310018, Peoples R China.;[Fan, Shanji] Univ South China, Affiliated Hosp 1, Hengyang Med Sch, Dept Breast & Thyroid Surg, Hengyang 421000, Peoples R China.
通讯机构：
[Liu, J; Wang, LJ ; Yuan, F ] Z;Zhejiang Univ, Childrens Hosp, Natl Clin Res Ctr Child Hlth, Natl Childrens Reg Med Ctr,Sch Med, Hangzhou 310052, Peoples R China.;Zhejiang Hosp, Dept Thorac Surg, Hangzhou 310013, Peoples R China.
关键词：
Deuterium;Macromolecules;Raman spectroscopy
摘要：
When macromolecules are exposed to deuterium-rich environments, hydrogen atoms on them undergo hydrogen‑deuterium exchange, which induces a characteristic Raman spectral redshift, providing a robust signature for probing intracellular microenvironments. This review is a comprehensively survey of the diverse applications of Raman spectroscopy of deuterium-labeled macromolecules in biomedicine over recent years. We summarize its utility in bacterial resistance and metabolism investigations, and discuss applications spanning cellular to whole-animal levels.
When macromolecules are exposed to deuterium-rich environments, hydrogen atoms on them undergo hydrogen‑deuterium exchange, which induces a characteristic Raman spectral redshift, providing a robust signature for probing intracellular microenvironments. This review is a comprehensively survey of the diverse applications of Raman spectroscopy of deuterium-labeled macromolecules in biomedicine over recent years. We summarize its utility in bacterial resistance and metabolism investigations, and discuss applications spanning cellular to whole-animal levels.
通讯机构：
[Wei, XL ; Cao, JX] X;Xiangtan Univ, Dept Phys, Xiangtan 411105, Peoples R China.;Xiangtan Univ, Hunan Prov Key Lab Smart Carbon Mat & Adv Sensing, Xiangtan 411105, Peoples R China.;Hengyang Normal Univ, Coll Phys & Elect Engn, Hengyang 421002, Peoples R China.
摘要：
Two-dimensional black arsenic phosphorus has attracted significant interest due to its extraordinary electronic, optical, and transport properties. Therefore, in this work, we go through all the possibilities, including 3297 nonrepetitive configurations, and demonstrate the lowest energy structure of the As x P 1– x ( x = 0.4) monolayer by first-principles calculations. Our results indicate that both single-layer and bilayer As 4 P 6 host direct and indirect bandgap semiconductors with bandgaps of 1.94 and 1.26 eV, respectively, which exhibit good light adsorption within the visible light and infrared region. Moreover, both single-layer and bilayer As 4 P 6 possess high electron and hole mobilities (up to 2.6 × 10 4 cm 2 v –1 s –1 ), which also exhibit extreme carrier anisotropy originating from their high in-plane lattice anisotropy. Furthermore, bilayer As 4 P 6 exhibits exceptional device characteristics including a lower threshold voltage, higher on-state current, and higher conductance. In addition, the transmission coefficient spectrum of bilayer As 4 P 6 is three times greater than that of the monolayer owing to an increased number of electronic channels. Additionally, the extinction ratio of single-layer As 4 P 6 exhibits high anisotropy, indicating enhanced polarization sensitivity in the zigzag direction. Our findings provide two excellent candidate materials for the application of optoelectronic devices.
期刊：
Journal of Electronic Materials,2025年54(1):712-717 ISSN：0361-5235
通讯作者：
Zhang, ZJ
作者机构：
[Zhang, Zhijian; Zhang, ZJ] Hengyang Normal Univ, Key Lab Funct Met Organ Cpds, Hengyang 421001, Peoples R China.;[Zhang, Zhijian; Zhang, ZJ] Hengyang Normal Univ, Key Lab Funct Organometall Mat Hunan Prov, Hengyang 421001, Peoples R China.;[Shi, Wei; Li, Xinghua] Collaborat Innovat Res Inst Hunan Prov, Hunan Prov Sci & Technol Affairs Ctr & Ind Technol, Changsha 410013, Hunan, Peoples R China.
通讯机构：
[Zhang, ZJ ] H;Hengyang Normal Univ, Key Lab Funct Met Organ Cpds, Hengyang 421001, Peoples R China.;Hengyang Normal Univ, Key Lab Funct Organometall Mat Hunan Prov, Hengyang 421001, Peoples R China.
关键词：
Ab initio calculation;magnetic properties;optical properties;two-dimensional gamma-GeSe;electronic properties
摘要：
Using ab initio calculations, the structural and photoelectric properties of gamma-GeSe with B, C, and N adsorption were systematically investigated. The atomic structure relaxations show that B, C, and N are preferentially located on the lower hexagonal hollow, upper hexagonal hollow, and on top of Se, respectively. The adsorption with B, C, and N can induce defective bands between the energy region n of the valence bands and the conduction bands, and all the systems with adatoms are magnetic, with 1 mu(B), 2 mu(B), and 1 mu(B) magnetic moments, respectively, which are mainly caused by the hybridization between adatoms and the adjacent Ge and Se atoms. Based on the spin-polarized band structure, we find that C-adsorbed gamma-GeSe is metallic, while gamma-GeSe with B and N adatoms is half-metallic, with 100% spin polarization at the Fermi level. Furthermore, owing to the electronic structural differences between spin-up and spin-down sections of B- and N-adsorbed gamma-GeSe, the light in the low-energy region (< 1.0 eV) can only cause electronic excitations in one spin channel, giving rise to interesting spin-polarized photoelectric properties. Our results suggest that gamma-GeSe with B, C, and N adsorption is a promising candidate for spintronic photoelectric device applications.
作者机构：
[Zhenhua Song; Xianwen Song] Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, 932 Lushan South Road Yuelu District, Changsha, 410083 China;[Xintao Zhu] State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, School of Chemistry and Chemical Engineering, Shihezi University, Shihezi, 832003 China;State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi, Xinjiang, 830017 China;State Key Laboratory of Functional Metal–Organic Compounds of Hunan Province, College of Chemistry and Materials Science, Hengyang Normal University, Hengyang, 421008 China;[Qiang Li] State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi, Xinjiang, 830017 China<&wdkj&>Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, 932 Lushan South Road Yuelu District, Changsha, 410083 China
通讯机构：
[Qiang Li; Yi Zhang] S;State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi, Xinjiang, 830017 China<&wdkj&>Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, 932 Lushan South Road Yuelu District, Changsha, 410083 China<&wdkj&>State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, School of Chemistry and Chemical Engineering, Shihezi University, Shihezi, 832003 China<&wdkj&>State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi, Xinjiang, 830017 China<&wdkj&>Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, 932 Lushan South Road Yuelu District, Changsha, 410083 China
关键词：
Acid gel electrolyte;Battery configuration;Hybrid gel;Ionic conductivity;Zinc-air batteries
摘要：
Alkaline zinc-air batteries (ZABs) are recognized as a promising candidate for next generation of safe battery systems, owing to their inherent advantages. However, the performance of traditional ZABs is constrained by a lower theoretical voltage of 1.65 V, presenting a significant challenge in enhancing their practical application. This paper demonstrates a prototype of acid-alkaline hybrid quasi-solid-state zinc-air battery (HSZAB), featuring a unique design in both a new acidic gel electrolyte and battery structure. Our approach involves regulating the electrolyte pH and ionic conductivity to achieve an enhanced theoretical voltage, resulting in an open circuit voltage of up to 2.0 V. Additionally, the HSZAB demonstrates substantially improved peak power density (417 mW cm −2 , five times higher than the conventional alkaline ZABs) and increased energy efficiency (from 60% to 82%). This finding underscores the promising prospects of high voltage zinc-air batteries, offering a substantial step forward in the field of energy storage systems.
摘要：
Current camouflaged object detection (COD) methods rely heavily on large-scale datasets with pixel-level annotations. We propose a semi-supervised iterative learning network (SILNet) to address the reliance on large-scale pixel-level annotations in COD. SILNet employs a co-training strategy with convolutional networks and Transformers as encoders, followed by a binary gated decoder (BGD) for feature fusion. To optimize the use of labeled data, we introduce an optimal representative election mechanism (OREM) to identify key sequences of unlabeled images, guiding iterative learning and pseudo-label generation. To reduce noise in pseudo-labels, we incorporate a long-range representation module (LRM) leveraging Mamba’s background modeling. Experiments show that SILNet trained with only 10% of the labeled data outperforms state-of-theart unsupervised and weakly supervised methods, achieving performance competitive with fully supervised models.
摘要：
The accurate and sensitive quantification of hydroxyl radical (·OH) and glucose is necessary for disease diagnosis and health guidance, but still challenging owing to the low concentration of ·OH and poor water solubility of fluorescent probes. In addition, fluorescent probes may cause secondary pollution to the environment. Here an organic cage was reported as a sensitive fluorescent probe for ·OH and glucose in aqueous solution without serious secondary pollution. The prepared organic cage with good water solubility showed specific redox affinity to ·OH in acidic condition, resulting in two oxidation stages of mild oxidation and subsequent oxidative degradation. Fluorescence around 485 nm enhanced remarkably in the first stage, and benzene ring in organic cage was degraded in the second stage. Based on the significant fluorescence enhancement, a sensitive fluorescence turn-on sensing method for ·OH was established within 90 s with the limit of detection (3 s/k , where s and k are the standard deviation for 10 replicate detections of blank and the slope of calibration function) of 5 nM. The recoveries of spiked ·OH in human serum and water samples ranged from 95.2 % to 102.7 %. After the glucose oxidase enzyme-Fenton reaction was involved, the ·OH detection was also applied to sensitive sensing of glucose with the limit of detection (3 s/k ) of 6 nM. The recoveries of spiked glucose in sugary drinks ranged from 96.2 % to 102.6 %. Furthermore, the proposed method would also be suitable for other hazardous substances and biomarkers which can produce hydrogen peroxide and further form ·OH via Fenton reaction.
The accurate and sensitive quantification of hydroxyl radical (·OH) and glucose is necessary for disease diagnosis and health guidance, but still challenging owing to the low concentration of ·OH and poor water solubility of fluorescent probes. In addition, fluorescent probes may cause secondary pollution to the environment. Here an organic cage was reported as a sensitive fluorescent probe for ·OH and glucose in aqueous solution without serious secondary pollution. The prepared organic cage with good water solubility showed specific redox affinity to ·OH in acidic condition, resulting in two oxidation stages of mild oxidation and subsequent oxidative degradation. Fluorescence around 485 nm enhanced remarkably in the first stage, and benzene ring in organic cage was degraded in the second stage. Based on the significant fluorescence enhancement, a sensitive fluorescence turn-on sensing method for ·OH was established within 90 s with the limit of detection (3 s/k , where s and k are the standard deviation for 10 replicate detections of blank and the slope of calibration function) of 5 nM. The recoveries of spiked ·OH in human serum and water samples ranged from 95.2 % to 102.7 %. After the glucose oxidase enzyme-Fenton reaction was involved, the ·OH detection was also applied to sensitive sensing of glucose with the limit of detection (3 s/k ) of 6 nM. The recoveries of spiked glucose in sugary drinks ranged from 96.2 % to 102.6 %. Furthermore, the proposed method would also be suitable for other hazardous substances and biomarkers which can produce hydrogen peroxide and further form ·OH via Fenton reaction.
关键词：
out-of-time-ordered correlato;quantum chaos;quantum Rabi model
摘要：
Quantum chaos is an intriguing topic and has attracted a great deal of interests in quantum mechanics and black hole physics. Recently, the exponential growth of out-of-time-ordered correlator (OTOC) has been proposed to diagnose quantum chaos and verify the correspondence principle. Here, good correspondence is found between the linear entanglement entropy and the semiclassical phase space structures in the anisotropic quantum Rabi model. The Loschmidt echo in the chaotic sea decays more faster than that in the stable island. However, the OTOCs grow exponentially at early times for the initial states centered both in the chaotic and stable regions. The exponential growth of the OTOC is attributed to quantum collapse that provides a novel mechanism of yielding exponential growth of the OTOC in quantum systems. Moreover, the quantum collapse effect is more obvious for the initial states centered in the chaotic one. The results show that in the anisotropic quantum Rabi model, the linear entanglement entropy, and Loschmidt echo are more effective than OTOC for diagnosing quantum chaotic signals.
摘要：
Hyperspectral images (HSIs) contain rich spectral and spatial information, motivating the development of a novel circulant singular spectrum analysis (CiSSA) and multiscale local ternary pattern fusion method for joint spectral-spatial feature extraction and classification. Due to the high dimensionality and redundancy in HSIs, principal component analysis (PCA) is used during preprocessing to reduce dimensionality and enhance computational efficiency. CiSSA is then applied to the PCA-reduced images for robust spatial pattern extraction via circulant matrix decomposition. The spatial features are combined with the global spectral features from PCA to form a unified spectral-spatial feature set (SSFS). Local ternary pattern (LTP) is further applied to the principal components (PCs) to capture local grayscale and rotation-invariant texture features at multiple scales. Finally, the performance of the SSFS and multiscale LTP features is evaluated separately using a support vector machine (SVM), followed by decision-level fusion to combine results from each pipeline based on probability outputs. Experimental results on three popular HSIs show that, under 1% training samples, the proposed method achieves 95.98% accuracy on the Indian Pines dataset, 98.49% on the Pavia University dataset, and 92.28% on the Houston2013 dataset, outperforming several traditional classification methods and state-of-the-art deep learning approaches.
作者机构：
[Chenguang Li] College of Chemistry and Material Science, Hengyang Normal University, Hengyang, 421008, PR China;Hunan Province Key Laboratory of Functional Metal-Organic Compounds (Hengyang Normal University), Hengyang, 421008, PR China;Key Laboratory of Organometallic New Materials (Hengyang Normal University), College of Hunan Province, Hengyang, 421008, PR China;Hunan Engineering Research Center for Monitoring and Treatment of Heavy Metals Pollution in the Upper Reaches of Xiangjiang River (Hengyang Normal University), Hengyang, 421008, PR China;[Junbin Sun; Weihong Lu] College of Chemistry and Material Science, Hengyang Normal University, Hengyang, 421008, PR China<&wdkj&>Hunan Province Key Laboratory of Functional Metal-Organic Compounds (Hengyang Normal University), Hengyang, 421008, PR China<&wdkj&>Key Laboratory of Organometallic New Materials (Hengyang Normal University), College of Hunan Province, Hengyang, 421008, PR China<&wdkj&>Hunan Engineering Research Center for Monitoring and Treatment of Heavy Metals Pollution in the Upper Reaches of Xiangjiang River (Hengyang Normal University), Hengyang, 421008, PR China
通讯机构：
[Junbin Sun] C;College of Chemistry and Material Science, Hengyang Normal University, Hengyang, 421008, PR China<&wdkj&>Hunan Province Key Laboratory of Functional Metal-Organic Compounds (Hengyang Normal University), Hengyang, 421008, PR China<&wdkj&>Key Laboratory of Organometallic New Materials (Hengyang Normal University), College of Hunan Province, Hengyang, 421008, PR China<&wdkj&>Hunan Engineering Research Center for Monitoring and Treatment of Heavy Metals Pollution in the Upper Reaches of Xiangjiang River (Hengyang Normal University), Hengyang, 421008, PR China
摘要：
The corrosion caused by air sediments comprising CaO-MgO-Al 2 O 3 -SiO 2 (CMAS) poses a notable challenge to thermal/environmental barrier coatings as engine service temperatures continue to rise. In this study, three types of Y 2 O 3 -SiO 2 binary compound ceramic bulks—Y 2 SiO 5 , Y 2 SiO 5 -Y 2 Si 2 O 7 and Y 2 Si 2 O 7 —with molar ratios of Y 2 O 3 :SiO 2 of 1:1, 1:1.5, and 1:2, respectively, were prepared and subjected to CMAS corrosion at 1250 °C and 1350 °C for durations ranging from 1 to 10 h. The corrosion products and cross-sectional morphologies of the samples were characterized using X-ray diffraction and scanning electron microscope. The results demonstrate that the material composition determines its CMAS corrosion behavior. Y 2 SiO 5 , with higher Y 2 O 3 content, consumes more CaO to form Ca 2 Y 8 (SiO 4 ) 6 O 2 , thereby reducing the CaO content and increasing the viscosity of the residual CMAS melt. This process inhibits further CMAS penetration. The findings highlight a novel strategy to improve CMAS corrosion resistance by modifying the CMAS composition and reducing its penetration capability.
The corrosion caused by air sediments comprising CaO-MgO-Al 2 O 3 -SiO 2 (CMAS) poses a notable challenge to thermal/environmental barrier coatings as engine service temperatures continue to rise. In this study, three types of Y 2 O 3 -SiO 2 binary compound ceramic bulks—Y 2 SiO 5 , Y 2 SiO 5 -Y 2 Si 2 O 7 and Y 2 Si 2 O 7 —with molar ratios of Y 2 O 3 :SiO 2 of 1:1, 1:1.5, and 1:2, respectively, were prepared and subjected to CMAS corrosion at 1250 °C and 1350 °C for durations ranging from 1 to 10 h. The corrosion products and cross-sectional morphologies of the samples were characterized using X-ray diffraction and scanning electron microscope. The results demonstrate that the material composition determines its CMAS corrosion behavior. Y 2 SiO 5 , with higher Y 2 O 3 content, consumes more CaO to form Ca 2 Y 8 (SiO 4 ) 6 O 2 , thereby reducing the CaO content and increasing the viscosity of the residual CMAS melt. This process inhibits further CMAS penetration. The findings highlight a novel strategy to improve CMAS corrosion resistance by modifying the CMAS composition and reducing its penetration capability.
摘要：
Deep learning-assisted template attack (DLATA) is a novel side-channel attack (SCA) method proposed by Lichao Wu at CHES2022. It utilizes a triplet network to assist template attacks (TA), avoiding the redundant training and hyperparameter tuning required in traditional DL-based SCA methods. However, the training of the triplet network requires a large number of power samples due to its unique structure. We propose a new optimization scheme, in which the transfer learning (TL) technology is used to train multiple models on several similar datasets with fewer power traces, to mitigation the problem. The approach allows us to leverage pre-trained models to product a new mode on the another target dataset by fine-tuning weights so that significantly reduce the training cost for the triplet network while maintaining attack effectiveness. We remould the structure and dimensionality of similar datasets so that the models trained on them can perform effective transfer learning for training on the target dataset. Concretely, some of parameters and features obtained from pretraining can be used directly for the target task, while the rest only require fine-tuning. Evaluation and experimental validation on the public ASCAD dataset demonstrate that our method achieves or even surpasses the performance of the original method with a 90% reduction in the training set. These findings highlight the effectiveness of the proposed TL strategy in achieving robust attack performance in low-sample training environments.
Deep learning-assisted template attack (DLATA) is a novel side-channel attack (SCA) method proposed by Lichao Wu at CHES2022. It utilizes a triplet network to assist template attacks (TA), avoiding the redundant training and hyperparameter tuning required in traditional DL-based SCA methods. However, the training of the triplet network requires a large number of power samples due to its unique structure. We propose a new optimization scheme, in which the transfer learning (TL) technology is used to train multiple models on several similar datasets with fewer power traces, to mitigation the problem. The approach allows us to leverage pre-trained models to product a new mode on the another target dataset by fine-tuning weights so that significantly reduce the training cost for the triplet network while maintaining attack effectiveness. We remould the structure and dimensionality of similar datasets so that the models trained on them can perform effective transfer learning for training on the target dataset. Concretely, some of parameters and features obtained from pretraining can be used directly for the target task, while the rest only require fine-tuning. Evaluation and experimental validation on the public ASCAD dataset demonstrate that our method achieves or even surpasses the performance of the original method with a 90% reduction in the training set. These findings highlight the effectiveness of the proposed TL strategy in achieving robust attack performance in low-sample training environments.
通讯机构：
[Zhang, B ] G;Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou, Peoples R China.;Guangdong Prov Ctr Urban & Migrat Studies, Guangzhou, Peoples R China.;Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China.
关键词：
environmental regulation;fiscal efficiency;GTFP;high-quality development;multi-source data;spatial panel data model
摘要：
This research aims to investigate whether fiscal efficiency promotes green total factor productivity (GTFP) in China. To this end, we used multi-source data and adopted productivity index approaches to measure GTFP and fiscal efficiency scores of 284 Chinese cities and then applied a spatial econometric model to examine the impact of fiscal efficiency on GTFP. The main findings of this study are as follows: (1) Overall GTFP scores showed an N-shaped trend during the sample period. Specifically, they first rose, then decreased, and finally went up. (2) The dynamic average fiscal efficiency scores of Chinese cities exhibited an upward trend with fluctuations. The spatial distribution of the fiscal efficiency scores of 284 cities showed that overall the eastern and central cities had the highest scores, followed by the western and northeastern cities. (3) The results of the spatial lag panel data model revealed that the spatially lagged term of GTFP was significantly positive, indicating that spatial spillovers of GTFP could not be ignored. Otherwise, it may lead to biased conclusions. It implies that improvements in the GTFP of neighboring cities contribute to promoting the GTFP growth of the own city. Moreover, the impact of fiscal efficiency on GTFP was verified to be significant and positive, indicating that fiscal efficiency improvement could significantly promote China's high-quality development measured by GTFP. In addition, increases in urbanization level, economic level, education level, industrial structure, and innovation level had positive effects on GTFP, while there was a U-shaped relationship between environmental regulation and GTFP. Last, several tailored policy recommendations were proposed.
摘要：
With the rapid development of generative models , there is an increasing demand for universal fake image detectors. In this paper, we investigate the problem of fake image detection for the synthesis of generative models to detect fake images from multiple generative methods . Recent research methods explore the benefits of pre-trained models and mainly adopt a fixed paradigm of training additional classifiers separately, but we find that the fixed paradigm hinders the full learning of forgery features, leading to insufficient representation learning in the detector. The main reason is that the fixed paradigm pays too much attention to global features and neglects local features , which limits the ability of the model to perceive image details and leads to some information loss or confusion. In this regard, based on the pre-trained visual language space, our method introduces two core designs. First, we designed a Deep Window Triple Attention (DWTA) module. A similar dense sliding window strategy is adopted to capture multi-scale local abnormal patterns, and the sensitivity to generated artifacts is enhanced through the triple attention mechanism . Secondly, we proposed a Cross-Space Feature Alignment (CSFA) module. A two-way interactive channel between global features and local features is established, and the alignment loss function is used to achieve semantic alignment of cross-modal feature spaces. The aligned features are adaptively fused through a gating mechanism to obtain the final adaptive forged features. Experiments demonstrate that our method, when trained solely on ProGAN data, achieves superior cross-generator generalization: it attains an average accuracy of 94.7% on unseen GANs and generalizes to unseen diffusion models with 94% accuracy, surpassing existing methods by 2.1%. The source code is available at https://github.com/long2580h/GLFAFormer .
With the rapid development of generative models , there is an increasing demand for universal fake image detectors. In this paper, we investigate the problem of fake image detection for the synthesis of generative models to detect fake images from multiple generative methods . Recent research methods explore the benefits of pre-trained models and mainly adopt a fixed paradigm of training additional classifiers separately, but we find that the fixed paradigm hinders the full learning of forgery features, leading to insufficient representation learning in the detector. The main reason is that the fixed paradigm pays too much attention to global features and neglects local features , which limits the ability of the model to perceive image details and leads to some information loss or confusion. In this regard, based on the pre-trained visual language space, our method introduces two core designs. First, we designed a Deep Window Triple Attention (DWTA) module. A similar dense sliding window strategy is adopted to capture multi-scale local abnormal patterns, and the sensitivity to generated artifacts is enhanced through the triple attention mechanism . Secondly, we proposed a Cross-Space Feature Alignment (CSFA) module. A two-way interactive channel between global features and local features is established, and the alignment loss function is used to achieve semantic alignment of cross-modal feature spaces. The aligned features are adaptively fused through a gating mechanism to obtain the final adaptive forged features. Experiments demonstrate that our method, when trained solely on ProGAN data, achieves superior cross-generator generalization: it attains an average accuracy of 94.7% on unseen GANs and generalizes to unseen diffusion models with 94% accuracy, surpassing existing methods by 2.1%. The source code is available at https://github.com/long2580h/GLFAFormer .
作者机构：
[Zhou, Wang; Han, Miaomiao; Liu, Jilei; Gao, Peng; Tang, Rui; Mo, Ying] Hunan Univ, Coll Mat Sci & Engn, Hunan Joint Int Lab Adv Mat & Technol Clean Energy, Hunan Prov Key Lab Adv Carbon Mat & Appl Technol, Changsha 410082, Hunan, Peoples R China.;[Wang, Dan] Hengyang Normal Univ, Univ Hunan Prov, Key Lab Micronano Energy Mat & Applicat Technol, Hengyang 421002, Hunan, Peoples R China.;[Wang, Dan] Hengyang Normal Univ, Coll Phys & Elect Engn, Hengyang 421002, Hunan, Peoples R China.;[Chen, Shi] Univ Macau, Inst Appl Phys & Mat Engn, Joint Key Lab, Minist Educ, Taipa 999078, Macao, Peoples R China.;[Yoshii, Takeharu; Wakabayashi, Keigo; Nishihara, Hirotomo] Tohoku Univ, Inst Multidisciplinary Res Adv Mat, 2-1-1 Katahira,Aoba Ku, Sendai, Miyagi 9808577, Japan.
通讯机构：
[Liu, JL ] H;Hunan Univ, Coll Mat Sci & Engn, Hunan Joint Int Lab Adv Mat & Technol Clean Energy, Hunan Prov Key Lab Adv Carbon Mat & Appl Technol, Changsha 410082, Hunan, Peoples R China.
关键词：
Hard carbon;Surface chemistry;C-H bond;Initial coulombic efficiency;Adsorption capacity
摘要：
Controlling surface chemistry is critically important for improving the initial Coulombic efficiency (ICE) and adsorption capacity of hard carbon anode used in Li/Na/K-ion batteries. However, accurately identifying the types and concentrations of hydrogen/oxygen terminated functional groups (HTFG/OTFGs) and distinguishing their functionalities remain challenge. Herein, we quantitatively investigated the surface chemistry on hard carbon via ultra-high temperature programed desorption measurements, and uncovered the role of HTFG/OTFGs in influencing ICE and adsorption capacity in Li/Na/K-ions cells. The C–H group is found to be dominant species on the surface of hard carbon, and presents a positive correlation with ICE values and adsorption capacity. The low reactivity of C–H group with both electrolyte salt and solvent results in the formation of thinner and highly conducive solid electrolyte interphase (SEI) layer, which benefit for the enhanced ICE and improved Li/Na/K-ions diffusion across SEI layer. Additionally, the pimping trapping effect of C–H groups allows the adsorbed Li/Na/K-ions to migrate into graphitic interlayer quickly, enhancing the slope capacity. By fabricating a C–H group-rich surface chemistry on hard carbon, a high ICE value and satisfactory specific capacity have been realized. These findings enrich our understanding of the surface chemistry-induced interfacial reaction, which effectively guides the rational design of high-performance hard carbon.
Controlling surface chemistry is critically important for improving the initial Coulombic efficiency (ICE) and adsorption capacity of hard carbon anode used in Li/Na/K-ion batteries. However, accurately identifying the types and concentrations of hydrogen/oxygen terminated functional groups (HTFG/OTFGs) and distinguishing their functionalities remain challenge. Herein, we quantitatively investigated the surface chemistry on hard carbon via ultra-high temperature programed desorption measurements, and uncovered the role of HTFG/OTFGs in influencing ICE and adsorption capacity in Li/Na/K-ions cells. The C–H group is found to be dominant species on the surface of hard carbon, and presents a positive correlation with ICE values and adsorption capacity. The low reactivity of C–H group with both electrolyte salt and solvent results in the formation of thinner and highly conducive solid electrolyte interphase (SEI) layer, which benefit for the enhanced ICE and improved Li/Na/K-ions diffusion across SEI layer. Additionally, the pimping trapping effect of C–H groups allows the adsorbed Li/Na/K-ions to migrate into graphitic interlayer quickly, enhancing the slope capacity. By fabricating a C–H group-rich surface chemistry on hard carbon, a high ICE value and satisfactory specific capacity have been realized. These findings enrich our understanding of the surface chemistry-induced interfacial reaction, which effectively guides the rational design of high-performance hard carbon.
作者机构：
[Wang, Fangyan; Jiao, Ge; Yue, Guowen] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Hunan, Peoples R China.;[Jiao, Ge] Hengyang Normal Univ, Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Hunan, Peoples R China.;[Jiao, Ge] Hengyang Normal Univ, Hunan Engn Res Ctr Cyberspace Secur Technol & Appl, Hengyang 421002, Hunan, Peoples R China.
通讯机构：
[Jiao, G ] H;Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Hunan, Peoples R China.;Hengyang Normal Univ, Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Hunan, Peoples R China.;Hengyang Normal Univ, Hunan Engn Res Ctr Cyberspace Secur Technol & Appl, Hengyang 421002, Hunan, Peoples R China.
关键词：
Camouflaged object detection;Self-supervised learning;Reconstruction;Adapter;Segment anything model
摘要：
Current Camouflaged Object Detection (COD) methods primarily rely on a direct mapping from image to mask. However, due to the inherent semantic and structural gap between the image and its corresponding mask, the learned feature representations often exhibit poor generalization ability. To address this issue, we propose a novel intra-domain dual reconstruction framework, termed InDReCT, which reformulates the image-to-mask prediction as a cross-domain transfer task by simultaneously reconstructing both the input image and its corresponding mask. Within this framework, semantic knowledge is transferred through two reconstruction processes from different domains: image reconstruction (appearance domain) and mask reconstruction (structure domain), and is eventually integrated back into the image-to-mask prediction task. This dual reconstruction mechanism implicitly guides the network to extract hidden appearance semantics from image-to-image reconstruction and explicit structural information from mask-to-mask reconstruction, thereby enhancing the model’s generalization capability. Extensive experiments on three benchmark COD datasets and four downstream tasks demonstrate that InDReCT consistently outperforms state-of-the-art methods in both detection accuracy and generalization ability. Notably, on the widely-used COD10K dataset, InDReCT achieves a Mean E-measure ( E m ) of 95.6 %, surpassing the latest state-of-the-art model CamoDiffusion by 1.6 %. Code and models will be publicly available at: https://github.com/KungFuProgrammerle/InDReCT .
Current Camouflaged Object Detection (COD) methods primarily rely on a direct mapping from image to mask. However, due to the inherent semantic and structural gap between the image and its corresponding mask, the learned feature representations often exhibit poor generalization ability. To address this issue, we propose a novel intra-domain dual reconstruction framework, termed InDReCT, which reformulates the image-to-mask prediction as a cross-domain transfer task by simultaneously reconstructing both the input image and its corresponding mask. Within this framework, semantic knowledge is transferred through two reconstruction processes from different domains: image reconstruction (appearance domain) and mask reconstruction (structure domain), and is eventually integrated back into the image-to-mask prediction task. This dual reconstruction mechanism implicitly guides the network to extract hidden appearance semantics from image-to-image reconstruction and explicit structural information from mask-to-mask reconstruction, thereby enhancing the model’s generalization capability. Extensive experiments on three benchmark COD datasets and four downstream tasks demonstrate that InDReCT consistently outperforms state-of-the-art methods in both detection accuracy and generalization ability. Notably, on the widely-used COD10K dataset, InDReCT achieves a Mean E-measure ( E m ) of 95.6 %, surpassing the latest state-of-the-art model CamoDiffusion by 1.6 %. Code and models will be publicly available at: https://github.com/KungFuProgrammerle/InDReCT .
作者机构：
[Shangyun Wang] College of Physics and Electronic Engineering, Hengyang Normal University, Hengyang 421002, China;[Songbai Chen; Jiliang Jing] Department of Physics, Key Laboratory of Low Dimensional Quantum Structures and Quantum Control of Ministry of Education, Synergetic Innovation Center for Quantum Effects and Applications, Hunan Normal University, Changsha 410081, China<&wdkj&>Center for Gravitation and Cosmology, College of Physical Science and Technology, Yangzhou University, Yangzhou 225009, China
摘要：
Abstract We use out-of-time order correlators (OTOCs) to investigate the quantum instability and Ehrenfest time for an inverted harmonic oscillator (IHO). For initial states located in the stable manifolds of the IHO we find that the corresponding OTOC exhibits identical evolutionary characteristics to the saddle point before the Ehrenfest time. For initial states located in the unstable manifolds, the OTOCs still grow exponentially but the time to maintain exponential growth is related to the center position of its wave packet in phase space. Moreover, we use the Husimi Q function to visualize the quantum wave packets during exponential growth of the OTOCs. Our results show that quantum instability exists at arbitrary orbits in the IHO system, and the Ehrenfest time in the IHO system depends not only on the photon number of the initial system but also on the central positions of the initial states in phase space.
