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Abstract ：
Aqueous zinc-ion batteries (AZIBs) hold promising prospects for large-scale energy storage systems, yet their commercialization is hindered by dendritic growth and water-induced side reactions associated with zinc anodes, especially at high depths of discharge (DOD). Herein, a multifunctional zincophilic additive is developed to promote the planar Zn deposition and construct a stable solid electrolyte interphase (SEI). Disodium malate (DMA) possesses pH-buffering capability that maintains electrolyte pH stability during prolonged cycling, effectively mitigating side reactions. Furthermore, the concentration of DMA significantly influences crystal deposition. An appropriate amount of DMA molecules selectively adsorbs onto the zinc foil, facilitating uniform zinc ion deposition on the (002) crystal plane. In addition, disodium maleate molecules reconfigure the electric double layer (EDL) to reduce free water interaction and promote the in-situ formation of the dense SEI, consisting of inorganic zinc salt and amorphous organic component, on the Zn metal surface. Notably, the dense organic-inorganic hybrid SEI layer persists with remarkable structural integrity even after long cycling. These features enable a highly reversible dendrite-free Zn plating/stripping process and suppress side reactions. As a result, Zn||Zn cells with DMA additives demonstrate extended cycling stability, enduring up to 5000 h at 8.6% DOD. Moreover, DMA-modified Zn anodes achieve an exceptional cycle lifespan of 750 h under 81.9% DOD with a high coulombic efficiency of 99.81% in asymmetric cells. In full-cell configurations, Zn||I2 cells stably cycle for over 12,000 cycles, retaining 89.77% of their capacity. This electrolyte regulation strategy offers a compelling pathway for the development of aqueous zinc ion batteries. © 2025
Keyword ：
Zinc powder metallurgy
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| GB/T 7714 | Ji, Haojie , Liang, Yuhang , Yang, Tao et al. Dense solid electrolyte interphase and Zn (002) plane texture enabling high depth-of-discharge anode for highly reversible zinc ion batteries [J]. | Journal of Materials Science and Technology , 2026 , 240 : 56-64 . |
| MLA | Ji, Haojie et al. "Dense solid electrolyte interphase and Zn (002) plane texture enabling high depth-of-discharge anode for highly reversible zinc ion batteries" . | Journal of Materials Science and Technology 240 (2026) : 56-64 . |
| APA | Ji, Haojie , Liang, Yuhang , Yang, Tao , Wu, Hongbo , Sheng, Ouwei , Shen, Tianyu et al. Dense solid electrolyte interphase and Zn (002) plane texture enabling high depth-of-discharge anode for highly reversible zinc ion batteries . | Journal of Materials Science and Technology , 2026 , 240 , 56-64 . |
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Optical instruments, electronic products, and medical fields urgently require the development of robust and transparent anti-fouling coatings. However, traditional coatings often struggle to balance mechanical properties with anti-fouling performance and may contain components that are detrimental to the environment. A high cross-linking density design helps to enhance the mechanical properties and corrosion resistance of coatings without the use of environmentally unfriendly components. In this work, we prepared a novel polyhedral oligomeric silsesquioxane (POSS) material with multiple epoxy groups, EP-POSS, through a click reaction. We selected an appropriate multi-point amine curing agent, tetraethylenepentamine, leveraging its efficient curing with EP-POSS to construct a multi-point, highly cross-linked network. This process not only strengthens the mechanical strength and chemical resistance of the coating but is also simple and cost-effective. Environmentally friendly polydimethylsiloxane is used to provide flexibility and liquid repellency. The final EPOSSPT coating boasts high transparency (> 99 %), low surface roughness (arithmetic mean deviation (Sa): ∼0.515 nm), and excellent repulsion to both liquid and solid contaminants, demonstrating superior self-cleaning and anti-fouling properties. It achieves a balance between high hardness (7H) and excellent flexibility (7500 bending cycles with a bending radius of 1 mm), while also resisting wear and impact from everyday use. This high-transparency, robust, and flexible coating has broad application prospects and offers insights into the design of new high-performance protective materials. © 2025
Keyword ：
Flexible liquid-like coating Fluoride-free High hardness Highly cross-linked networks Highly transparent
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| GB/T 7714 | Xie, Y. , Wu, S. , Liu, H. et al. High-performance anti-fouling coating: Achieving high transparency, durability, and flexibility via epoxy-amine curing with dense cross-linking design [J]. | Journal of Materials Science and Technology , 2026 , 242 : 255-263 . |
| MLA | Xie, Y. et al. "High-performance anti-fouling coating: Achieving high transparency, durability, and flexibility via epoxy-amine curing with dense cross-linking design" . | Journal of Materials Science and Technology 242 (2026) : 255-263 . |
| APA | Xie, Y. , Wu, S. , Liu, H. , Zheng, Y. , Zhao, K. , Huang, J. et al. High-performance anti-fouling coating: Achieving high transparency, durability, and flexibility via epoxy-amine curing with dense cross-linking design . | Journal of Materials Science and Technology , 2026 , 242 , 255-263 . |
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A large-scale model is typically trained on an extensive dataset to update its parameters and enhance its classification capabilities. However, directly using such data can raise significant privacy concerns, especially in the medical field, where datasets often contain sensitive patient information. Federated Learning (FL) offers a solution by enabling multiple parties to collaboratively train a high-performance model without sharing their raw data. Despite this, during the federated training process, attackers can still potentially extract private information from local models. To bolster privacy protections, Differential Privacy (DP) has been introduced to FL, providing stringent safeguards. However, the combination of DP and data heterogeneity can often lead to reduced model accuracy. To tackle these challenges, we introduce a sampling-memory mechanism, FedSam, which improves the accuracy of the global model while maintaining the required noise levels for differential privacy. This mechanism also mitigates the adverse effects of data heterogeneity in heterogeneous federated environments, thereby improving the global model's overall performance. Experimental evaluations on datasets demonstrate the superiority of our approach. FedSam achieves a classification accuracy of 95.03%, significantly outperforming traditional DP-FedAvg (91.74%) under the same privacy constraints, highlighting FedSam's robustness and efficiency.
Keyword ：
Data heterogeneity Differential privacy Federated learning
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| GB/T 7714 | Li, Hongtao , Li, Xinyu , Liu, Ximeng et al. FedSam: Enhancing federated learning accuracy with differential privacy and data heterogeneity mitigation [J]. | COMPUTER STANDARDS & INTERFACES , 2026 , 95 . |
| MLA | Li, Hongtao et al. "FedSam: Enhancing federated learning accuracy with differential privacy and data heterogeneity mitigation" . | COMPUTER STANDARDS & INTERFACES 95 (2026) . |
| APA | Li, Hongtao , Li, Xinyu , Liu, Ximeng , Wang, Bo , Wang, Jie , Tian, Youliang . FedSam: Enhancing federated learning accuracy with differential privacy and data heterogeneity mitigation . | COMPUTER STANDARDS & INTERFACES , 2026 , 95 . |
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The multi-turn response selection is an important component in retrieval-based human–computer dialogue systems. Most recent models adopt the utilization of pre-trained language models to acquire fine-grained semantic information within diverse dialogue contexts, thereby enhancing the precision of response selection. However, effectively leveraging the language style information of speakers along with the topic information in the dialogue context to enhance the semantic understanding capability of pre-trained language models still poses a significant challenge that requires resolution. To address this challenge, we propose a BERT-based Language Style and Topic Aware (BERT-LSTA) model for multi-turn response selection. BERT-LSTA augments BERT with two distinctive modules: the Language Style Aware (LSA) module and the Question-oriented Topic Window Selection (QTWS) module. The LSA module introduces a contrastive learning method to learn the latent language style information from distinct speakers in the dialogue. The QTWS module proposes a topic window segmentation algorithm to segment the dialogue context into topic windows, which facilitates the capacity of BERT-LSTA to refine and incorporate relevant topic information for response selection. Experimental results on two public benchmark datasets demonstrate that BERT-LSTA outperforms all state-of-the-art baseline models across various metrics. Furthermore, ablation studies reveal that the LSA module significantly improves performance by capturing speaker-specific language styles, while the QTWS module enhances topic relevance by filtering irrelevant contextual information. © 2025
Keyword ：
BERT Contrastive learning Language style Multi-turn response selection Topic window segmentation
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| GB/T 7714 | Li, W. , Chen, Y. , Xu, J. et al. Multi-turn response selection with Language Style and Topic Aware enhancement [J]. | Computer Speech and Language , 2026 , 95 . |
| MLA | Li, W. et al. "Multi-turn response selection with Language Style and Topic Aware enhancement" . | Computer Speech and Language 95 (2026) . |
| APA | Li, W. , Chen, Y. , Xu, J. , Zhong, J. , Dong, C. . Multi-turn response selection with Language Style and Topic Aware enhancement . | Computer Speech and Language , 2026 , 95 . |
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Aqueous zinc-ion batteries are highly favored for grid-level energy storage owing to their low cost and high safety,but their practical application is limited by slow ion migration.To address this,a strategy has been developed to create a cation-accelerating electric field on the surface of the cathode to achieve ultrafast Zn2+diffusion kinetics.By employing electrodeposition to coat MoS2 on the surface of BaV6O16·3H2O nanowires,the directional built-in electric field generated at the heterointerface acts as a cation accelerator,continuously accelerating Zn2+diffusion into the active material.The optimized Zn2+diffusion coefficient in CC@BaV6O16-3H2O@MoS2(7.5 × 10-8 cm2 s-1)surpasses that of most reported V-based cathodes.Simultaneously,MoS2 serving as a cathodic armor extends the cycling life of the Zn-CC@BaV6O16·3H2O@MoS2 full batteries to over 10000 cycles.This work provides valuable insights into optimizing ion diffusion kinetics for high-performance energy storage devices.
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| GB/T 7714 | Yawei Xiao , Qianqian Gu , Haoyu Li et al. Design of a cationic accelerator enabling ultrafast ion diffusion kinetics in aqueous zinc-ion batteries [J]. | 能源化学 , 2025 , 100 (1) : 377-384 . |
| MLA | Yawei Xiao et al. "Design of a cationic accelerator enabling ultrafast ion diffusion kinetics in aqueous zinc-ion batteries" . | 能源化学 100 . 1 (2025) : 377-384 . |
| APA | Yawei Xiao , Qianqian Gu , Haoyu Li , Mengyao Li , Yude Wang . Design of a cationic accelerator enabling ultrafast ion diffusion kinetics in aqueous zinc-ion batteries . | 能源化学 , 2025 , 100 (1) , 377-384 . |
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Cooperation among companies is essential for reducing the whole-process carbon emissions of products, but the existence of asymmetric information can negatively affect the cooperation. The information-sharing framework based on blockchain technology can solve the problem and contribute to an efficient supply chain for collaborative carbon emission reduction. We obtain conditions on the optimal carbon reduction efforts of the producer and the retailer by designing a blockchain information sharing mechanism, and confirm that the optimal carbon reduction efforts are associated with consumers' low-carbon preferences. Our study shows that: (1) The blockchain-based information-sharing mechanism can improve the way that producers and retailers collaborate on carbon emission reductions and help them understand information on consumers’ low-carbon preferences to make scientific decisions. (2) Companies have to pay an information rent to ensure that consumers correctly disclose their low-carbon preferences under information asymmetry. Blockchain technology eliminates the information rent and enables the overall efficiency of the supply chain. (3) An optimal blockchain cost-sharing factor exists that maximizes the overall supply chain revenue under the mechanism.
Keyword ：
Blockchain technology Collaborative emission reduction Information sharing Principal-agent model
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| GB/T 7714 | C. Ye , S. Weng , X. Zhang . Research on low carbon collaborative strategy of supply chain under blockchain information-sharing mechanism [J]. | International Journal of Environmental Science and Technology , 2025 , 22 (6) : 4655-4670 . |
| MLA | C. Ye et al. "Research on low carbon collaborative strategy of supply chain under blockchain information-sharing mechanism" . | International Journal of Environmental Science and Technology 22 . 6 (2025) : 4655-4670 . |
| APA | C. Ye , S. Weng , X. Zhang . Research on low carbon collaborative strategy of supply chain under blockchain information-sharing mechanism . | International Journal of Environmental Science and Technology , 2025 , 22 (6) , 4655-4670 . |
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研究通过选择性激光熔融法制备的(Fe50Mn30Co10Cr10)100-xSix(x=0(Si0),2(Si2))亚稳高熵合金(HEA)的低温拉伸行为.结果表明,Si的加入会导致晶格畸变和层错能的降低,尤其是在77K时,这极大地促进了 Si2HEA的相变诱导塑性效应(TRIP).Si2-HEAs的屈服强度、抗拉强度和延展性分别为505.2 MPa、1364.1 MPa和19％,比Si0合金分别高43％、53％和58％.TRIP是位错滑移之外的主要变形模式,在强化过程中起着关键作用.强化和持续的TRIP保持了变形过程中的动态应变分布.这种超高应变硬化大大提高了合金的强度和延展性.
Keyword ：
Fe50Mn30Co10Cr10高熵合金 Si添加 低温 相变诱导塑性(TRIP)效应 选区激光熔化
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| GB/T 7714 | 李战江 , 侯毅熙 , 陈丽 et al. 通过强化TRIP效应实现低温下Si添加亚稳态高熵合金的优异强度-延展性协同 [J]. | 中国有色金属学报（英文版） , 2025 , 35 (3) : 872-887 . |
| MLA | 李战江 et al. "通过强化TRIP效应实现低温下Si添加亚稳态高熵合金的优异强度-延展性协同" . | 中国有色金属学报（英文版） 35 . 3 (2025) : 872-887 . |
| APA | 李战江 , 侯毅熙 , 陈丽 , 陈庆鑫 , 陈俊锋 , 常发 et al. 通过强化TRIP效应实现低温下Si添加亚稳态高熵合金的优异强度-延展性协同 . | 中国有色金属学报（英文版） , 2025 , 35 (3) , 872-887 . |
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Biomineralization based on bacterial enzyme induced carbonate precipitation(BEICP)process is a promising alternative to cement-based ground treatment technology.The bacterial urease used in BEICP process is usually ultrasonic extracted from urease-producing bacteria.To efficiently extract urease with relatively higher activity from bacterial cells,the ultrasonic extraction parameters of urease were opti-mized in this study.Next,a series of bacterial urease extraction tests and sand column treatment tests were conducted to investigate the effects of vibration amplitude,upper temperature limit,and cooling method on the urease extraction process and biomineralization of sand.The results show that the upper temperature limit is an important factor affecting the extraction efficiency and the activity of the extracted urease solution,and the optimum upper temperature limit is 50 ℃.The results indicate that increasing vibration amplitude could improve the extraction efficiency,but it hardly affects the urease activity(UA)under the optimal temperature.Continuous cooling could effectively simplify the operation and further improve the efficiency of urease extraction.Under the same urease activity of biotreatment solution,there is no marked difference in calcium carbonate content(CCC)and unconfined compressive strength of biomineralized sand columns prepared by urease solution extracted with different vibration amplitudes and upper temperature limits.The results of this study could provide a reference for application of BEICP technology of urease extraction to large-scale soil treatment.
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| GB/T 7714 | Hanjiang Lai , Yiwei Chen , Mingjuan Cui et al. Extraction of high activity bacterial urease and its application to biomineralization of soil [J]. | 岩石力学与岩土工程学报（英文版） , 2025 , 17 (3) : 1847-1861 . |
| MLA | Hanjiang Lai et al. "Extraction of high activity bacterial urease and its application to biomineralization of soil" . | 岩石力学与岩土工程学报（英文版） 17 . 3 (2025) : 1847-1861 . |
| APA | Hanjiang Lai , Yiwei Chen , Mingjuan Cui , Junjie Zheng , Zhibo Chen . Extraction of high activity bacterial urease and its application to biomineralization of soil . | 岩石力学与岩土工程学报（英文版） , 2025 , 17 (3) , 1847-1861 . |
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Solar-induced water oxidation reaction(WOR)for oxygen evolution is a critical step in the transforma-tion of Earth's atmosphere from a reducing to an oxidation one during its primordial stages.WOR is also associated with important reduction reactions,such as oxygen reduction reaction(ORR),which leads to the production of hydrogen peroxide(H2O2).These transitions are instrumental in the emergence and evolution of life.In this study,transition metals were loaded onto nitrogen-doped carbon(NDC)prepared under the primitive Earth's atmospheric conditions.These metal-loaded NDC samples were found to cat-alyze both WOR and ORR under light illumination.The chemical pathways initiated by the pristine and metal-loaded NDC were investigated.This study provides valuable insights into potential mechanisms relevant to the early evolution of our planet.
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| GB/T 7714 | Yan Wang , Jiaqi Zhang , Xiaofeng Wu et al. Elucidating oxygen evolution and reduction mechanisms in nitrogen-doped carbon-based photocatalysts [J]. | 中国化学快报（英文版） , 2025 , 36 (2) : 196-201 . |
| MLA | Yan Wang et al. "Elucidating oxygen evolution and reduction mechanisms in nitrogen-doped carbon-based photocatalysts" . | 中国化学快报（英文版） 36 . 2 (2025) : 196-201 . |
| APA | Yan Wang , Jiaqi Zhang , Xiaofeng Wu , Sibo Wang , Masakazu Anpo , Yuanxing Fang . Elucidating oxygen evolution and reduction mechanisms in nitrogen-doped carbon-based photocatalysts . | 中国化学快报（英文版） , 2025 , 36 (2) , 196-201 . |
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Collaborative learning is widely applied in practical education due to its high efficiency and positive effectiveness. Virtual reality (VR) has driven the development of collaborative learning with its immersive and interactive characteristics. Task allocation, as the first step in initiating collaboration when applying VR to collaborative learning, plays a crucial role. However, it has not received enough attention and lacks in-depth research. Therefore, we first analyzed the characteristics of VR collaborative learning and found that considering the influence of five key factors on tasks allocation can improve learning outcomes. Consequently, we constructed a model applicable to VR collaborative learning. Subsequently, we proposed a two-way task allocation strategy that balances the interaction between learners’ intentions and the requirements of tasks. Then, by invoking an improved sparrow search algorithm for optimization calculations, the assignment results were automatically computed after going through three stages. Finally, evaluation experiments were conducted to validate the feasibility and correctness of our model and strategy by comparing them with other methods. The results indicate that compared to conventional collaborative learning, VR collaborative learning yields better learning outcomes. Moreover, our strategy demonstrates higher learning efficiency and better learning effects compared to using self-negotiation and Agent-based strategies for assigning VR collaborative tasks, providing a valuable reference for the continuous exploration of this scientific issue.
Keyword ：
collaborative learning sparrow search algorithm task allocation Virtual reality
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| GB/T 7714 | Yi Lin , Xiaolong Huang , Peng Guo et al. A Task Allocation Strategy for Collaborative Learning in Virtual Reality [J]. | International Journal of Human—Computer Interaction , 2025 , 41 (5) : 3080-3103 . |
| MLA | Yi Lin et al. "A Task Allocation Strategy for Collaborative Learning in Virtual Reality" . | International Journal of Human—Computer Interaction 41 . 5 (2025) : 3080-3103 . |
| APA | Yi Lin , Xiaolong Huang , Peng Guo , Xingwei Chen . A Task Allocation Strategy for Collaborative Learning in Virtual Reality . | International Journal of Human—Computer Interaction , 2025 , 41 (5) , 3080-3103 . |
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