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  1. 1221
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  4. 1224

    Preparation and Tribological Performance of the Ag/BN Nanocomposite as Additives for Lithium-Based Grease by Yijun Chen, Chuan Li, Xiaodong Wang, Li Zhang, Xu Tan, Yubin Peng, Xiaoyong Xu

    Published 2025-01-01
    “…Under a 10 N load, 30 min test duration, 50 mm/s sliding speed, and 2 wt% additive concentration, lithium-based grease (LBG) containing Ag/BN nanocomposite exhibited the lowest average friction coefficient of 0.33 and a wear rate of 1.08 × 10<sup>−14</sup> m<sup>3</sup>/(N × m), representing reductions of 35.2% and 41.6%, respectively, compared to pure LBG. …”
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  5. 1225
  6. 1226

    Assessing bnAb potency in the context of HIV-1 envelope conformational plasticity. by Caio Foulkes, Nikolas Friedrich, Branislav Ivan, Emanuel Stiegeler, Carsten Magnus, Daniel Schmidt, Umut Karakus, Jacqueline Weber, Huldrych F Günthard, Chloé Pasin, Peter Rusert, Alexandra Trkola

    Published 2025-01-01
    “…To systematically investigate the impact of variability in Env conformation on bnAb potency we screened 126 JR-CSF point mutants for generalized neutralization sensitivity to weakly neutralizing antibodies (weak-nAbs) depending on trimer opening and plasma from people with chronic HIV-1 infection. 23 mutations resulted in a highly neutralization sensitive phenotype, which was associated with de-stabilization of the closed, prefusion conformation. …”
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  7. 1227

    The Predictions of Noncollinear Equilibria Positions in ER3BP with Yukawa-Like Corrections by E. Baby Anitha, Tenaw Tilahun Asmamaw, M. Javed Idrisi

    Published 2023-01-01
    “…The effects of various parameters (μ, ê, α, and λ) on the noncollinear equilibrium points are discussed briefly, and it is found that only ordinate of noncollinear equilibria E4,5 is affected by Yukawa correction while abscissa is affected by only mass parameter μ. …”
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  8. 1228

    Application of Artificial Bee Colony Algorithm to Portfolio Adjustment Problem with Transaction Costs by Wei Chen, Hui Ma, Yiping Yang, Mengrong Sun

    Published 2014-01-01
    “…To solve the proposed model, a modified artificial bee colony (ABC) algorithm is developed for calculating the optimal portfolio adjusting strategy. …”
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  9. 1229

    A Review on Anti-Dip Bedding Rock Slopes Subjected to Flexural Toppling by Xin Qu, Fangfang Diao, Xingqian Xu, Cheng Li

    Published 2023-01-01
    “…Flexural toppling is typically observed in anti-dip bedding rock slopes with a set of steeply dipping parallel joints against the slope face. …”
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  10. 1230

    Bi-Univalent Function Classes Defined by Using a Second Einstein Function by Alaa H. El-Qadeem, Saleh A. Saleh, Mohamed A. Mamon

    Published 2022-01-01
    “…Motivated by q-calculus, subordination principle, and the second Einstein function, we define two families of bi-univalent analytic functions on the open unit disc of the complex plane. …”
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  11. 1231

    Impact of Preparative pH on the Morphology and Photocatalytic Activity of BiVO4 by Yongbiao Wan, Sihong Wang, Wenhao Luo, Lianhua Zhao

    Published 2012-01-01
    “…Adjusting pH with an ammonia solution during the synthesis, single-crystalline BiVO4 has been prepared using Bi(NO3)3·5H2O and NH4VO3 as starting materials through aqueous-phase precipitation at room temperature. …”
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  12. 1232

    Homozygous 6-bp deletion of IGFALS in a prepubertal boy with short stature by Hibiki Doi, Ikuko Kageyama, Yuko Katoh-Fukui, Atsushi Hattori, Maki Fukami, Naoto Shimura

    Published 2024-07-01
    “…Here, we report a prepubertal boy with a homozygous 2-amino acid deletion within the fourth N-glycosylation motif (c.1103_1108del, p.N368_S370delinsT) associated with parental consanguinity. …”
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  13. 1233

    Effect of Bee Resin on Blood Profiles of Infected Carassius auratus by Aeromonas hydrophila by Sri Nuryati, Y. Kuswardani, Y. Hadiroseyani

    Published 2007-07-01
    “…Preventive groups were injected by bee resin of 1.5 µl/ml and then injected by 0.1 ml/each of 105 CFU/ml (LD50) A. hydrophila at the eight days after resin injection.  …”
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  14. 1234

    Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process by Jelena Djuriš, Djordje Medarević, Marko Krstić, Ivana Vasiljević, Ivana Mašić, Svetlana Ibrić

    Published 2012-01-01
    “…The aim of this study was to optimize fluid bed granulation and tablets compression processes using design space approach. …”
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  15. 1235

    Application of the BP Neural Network Model of Gray Relational Analysis in Economic Management by Zhuojie Li

    Published 2022-01-01
    “…According to the BP neural network algorithm, for the problem that the input variables of the BP network cannot be automatically optimized during the modeling process of the multivariable complex system, it is used to establish a neural network optimization algorithm according to the gray correlation analysis (GM2 BPANN). …”
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    Nano colonies: Rearing honey bee queens and their offspring in small laboratory arenas by Zachary S. Lamas, Serhat Solmaz, Cory Stevens, Jason Bragg, Eugene V. Ryabov, Shayne Madella, Miguel Corona, Jay D. Evans

    Published 2025-01-01
    “…Here we provide a new system to reliably produce queens and worker brood in the laboratory and describe how this system fits with artificial insemination of queens as a step towards a continuous self-contained source of bees. …”
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  19. 1239

    Vitamin Bs as Potent Anticancer Agents through MMP-2/9 Regulation by Ha Vy Thi Vo, Namdoo Kim, Hyuck Jin Lee

    Published 2025-01-01
    “…In particular, vitamin Bs have emerged as a pivotal regulator within this intricate network, exerting profound effects on the functionality of metalloenzymes. …”
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  20. 1240

    Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network by Hao Peng, Han Wu, Junwu Wang

    Published 2020-01-01
    “…According to the results of the case study, there were four main factors that affected the construction water consumption of the Taiyangchen Project, namely, the intraday amount of pouring concrete, the intraday weather, the number of workers, and the intraday amount of wood used. The predicted data were basically consistent with the actual data, the relative error was less than 5%, and the average error was only 2.66%. …”
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