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  1. 3501
  2. 3502

    Cathodic tandem alkylation/dearomatization of heterocycles enabled by Al-facilitated carbonyl deoxygenation by Jinhui Hu, Weijie Deng, Jianfeng Zhou, Yubing Huang

    Published 2025-01-01
    “…Abstract Developing efficient strategies for the deoxygenative functionalization of carbonyl compounds is crucial for enhancing the effective utilization of biomass and the upgrading of chemical feedstocks. In this study, we present an elegant cathodic reduction strategy that enables a tandem alkylation/dearomatization reaction between quinoline derivatives and aryl aldehydes/ketones in a one-pot process. …”
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  3. 3503
  4. 3504

    ANA IIF Automation: Moving towards Harmonization? Results of a Multicenter Study by Stefanie Van den Bremt, Sofie Schouwers, Marjan Van Blerk, Lieve Van Hoovels

    Published 2017-01-01
    “…Each laboratory performed the ANA IIF analysis 10x in 1 run and 1x in 10 different runs and determined the endpoint titer by dilution. …”
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  5. 3505
  6. 3506

    PROPUESTA DEL PLAN DE TRABAJO PARA LOS AÑOS 1987-1989. by Universidad de Varsivia

    Published 1988-12-01
    “…Cumpliminetos de los acuerdos de la Carta de Intenciones firmadas entre la Universidad de Varsovia y Universidad del Comahue.…”
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  7. 3507

    Sequential Process of Diffusion Bonding and Annealing on Dissimilar Welding of Mg/Al Alloys by Yunlong Ding, Shixue Zhang, Bi Wu, Jinshuang Hao, Yan Chen, Dongying Ju

    Published 2021-01-01
    “…The results showed that the diffusion zone widens with increasing annealing temperatures, but it changed obviously when the annealing temperature was 300°C. Intermetallic compounds in the diffusion zone were identified as Al2Mg and Al12Mg17, the microstructure and elemental composition were uniformly distributed, and tensile strength was the largest for the specimen annealed at 250°C. …”
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  8. 3508
  9. 3509

    A Hybrid Ant Colony Optimization for Dynamic Multidepot Vehicle Routing Problem by Haitao Xu, Pan Pu, Feng Duan

    Published 2018-01-01
    “…However, it has not attracted much attention. In this paper, firstly, a clustering approach based on the nearest distance is proposed to allocate all customers to the depots. …”
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  10. 3510

    De la fiction financière et de son ante-validation politique by Cédric Durand

    Published 2015-06-01
    “…Revue de la Régulation…”
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  11. 3511
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  14. 3514
  15. 3515

    An Anonymous Routing Protocol with Authenticated Key Establishment in Wireless Ad Hoc Networks by Wei Yuan

    Published 2014-01-01
    “…The denial-of-service attack to specific session also can be restrained. The simulative results have shown that ARAKE outperforms a representative protocol ARAN in terms of both communication and energy overheads.…”
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  16. 3516

    Gradient diffusion entropy corrected ALNS optimization for vegetation topology interaction networks by Shengwei Wang, Hongquan Chen, Yulin Guo, Wenjing Su, Yurong Xu, Shuohao Cui, Zhiqiang Zhou

    Published 2025-01-01
    “…The interaction structure is dominated by competition for cropland and forest in the middle and lower reaches. The GDEO-ALNS optimized interaction structure slows down the ECV drop rate in topological attacks by 0.03 and 0.02, respectively, compared to the original interaction structure, which provides better immunity to interference compared to the optimized structure of ALNS. …”
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  17. 3517
  18. 3518

    Imaginarios del joven colombiano ante la clase de educación física by Napoleón Murcia Peña, Luis Guillermo Jaramillo Echeverri

    Published 2005-01-01
    “…Revista Latinoamericana en Ciencias Sociales, Niñez y Juventud…”
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  19. 3519

    Atomic mobility in Titanium grade 5 (Ti6Al4V) by Gierlotka W., Lothongkum G., Lohwongwatana B., Puncreoburt C.

    Published 2019-01-01
    “…Journal of Mining and Metallurgy. Section B: Metallurgy…”
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  20. 3520

    Startup Survival Forecasting: A Multivariate AI Approach Based on Empirical Knowledge by Francesc Font-Cot, Pablo Lara-Navarra, Claudia Sánchez-Arnau, Enrique A. Sánchez-Pérez

    Published 2025-01-01
    “…This study addresses these gaps by developing a multivariate AI-driven model for predicting startup survival, leveraging Lipschitz extensions, neural networks, and linear regression. …”
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