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  1. 821

    Weight trajectories in aging humanized APOE mice with translational validity to human Alzheimer's risk population: A retrospective analysis. by Francesca Vitali, Jean-Paul Wiegand, Lillian Parker-Halstead, Allan Tucker, Roberta Diaz Brinton

    Published 2025-01-01
    “…Translational validity of mouse models of Alzheimer's disease (AD) is variable. Because change in weight is a well-documented precursor of AD, we investigated whether diversity of human AD risk weight phenotypes was evident in a longitudinally characterized cohort of 1,196 female and male humanized APOE (hAPOE) mice, monitored up to 28 months of age which is equivalent to 81 human years. …”
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  2. 822

    SLOW SLIP EVENTS: PARAMETERS, CONDITIONS OF OCCURRENCE, AND FUTURE RESEARCH PROSPECTS by G. G. Kocharyan, S. B. Kishkina, V. A. Novikov, A. A. Ostapchuk

    Published 2015-09-01
    “…Slip velocities tend to decrease with scale (Fig. 7).Various slip modes were realized in laboratory experiments with slider model. …”
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  3. 823

    Isothermal crystallization kinetics of poly(ethylene terephthalate) and poly(methyl methacrylate) blends

    Published 2007-06-01
    “…Different kinetic models like the Avrami, Tobin and Urbanovici-Segal models have been applied for determining the isothermal crystallization kinetics of virgin poly(ethylene terephthalate) (PET) and PET/poly(methyl methacrylate) (PMMA) blends. …”
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  4. 824

    Regional simulations of equatorial spread F driven with, and an analysis of, WAM-IPE electric fields by Aaron Kirchman, David Hysell, Tzu-Wei Fang

    Published 2025-01-01
    “…The WAM-IPE electric fields are then studied through a simple sensitivity analysis of a field-line integrated electrodynamics model similar to the one used in WAM-IPE. This analysis suggests there is no simple tuning of ion composition or neutral winds that accurately reproduce ISR-observed electric fields on a day-to-day basis. …”
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  5. 825
  6. 826

    Bayesian optimization of radical polymerization reactions in a flow synthesis system by Shogo Takasuka, Sho Ito, Shunto Oikawa, Yosuke Harashima, Tomoaki Takayama, Aniruddha Nag, Araki Wakiuchi, Tsuyoshi Ando, Tetsunori Sugawara, Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu-Ya Ohnishi, Hiroharu Ajiro, Mikiya Fujii

    Published 2024-12-01
    “…It is therefore necessary to optimize the polymerization process to account for such composition drift. In the present study, styrene-methyl methacrylate copolymers were generated using a flow synthesis system and the processing variables were tuned employing Bayesian optimization (BO) to obtain a target composition. …”
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  7. 827

    Effect of varying thickness properties of the slow release fertilizer films on morphology, biodegradability, urea release, soil health, and plant growth. by Zahid Majeed, Shamyla Nawazish, Ayesha Baig, Wasim Akhtar, Atia Iqbal, Wisal Muhammad Khan, Syed Majid Bukhari, Asma Zaidi, Pau Loke Show, Nurlidia Mansoor

    Published 2023-01-01
    “…Current work examined the morphology, chemical composition, biodegradability, urea release, soil health, and plant growth effects of the SRF films subjected to changes in the thickness of 0.27, 0.54, and 1.03 mm. …”
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  8. 828

    Deep investigation of Arabidopsis thaliana junk DNA reveals a continuum between repetitive elements and genomic dark matter. by Florian Maumus, Hadi Quesneville

    Published 2014-01-01
    “…Eukaryotic genomes contain highly variable amounts of DNA with no apparent function. …”
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    Article
  9. 829

    The dietary inflammation index and body mass index mediate the association between the dietary index for gut microbiota and sarcopenia in older women: evidence from NHANES 2011–201... by Xiaoyan Zhang, Liangzhi Wu, Yutian He, Shuyao Zhang, Wenfeng Hua, Wenfeng Hua

    Published 2025-08-01
    “…Multivariable logistic regression analysis revealed a negative association between DI-GM and the risk of sarcopenia, irrespective of whether the independent variable was analyzed as a continuous variable or in quartiles in the fully adjusted model (Model 3, continuous variable: OR = 0.91, 95% confidence interval (CI): 0.88–0.95, p < 0.001; Q4 vs. …”
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  10. 830

    Association of β-casein gene polymorphism with milk production characteristics in Holstein cows by Danielle de C.M. da Fonseca, Alenia N. Vasconcellos, Elizangela D. Marino, Thais N. Chequer, Luisa M.F.S. Oliveira, João A. Negrão, Julio C. de C. Balieiro, Arlindo Saran Netto, Ana M.C. Vidal

    Published 2025-07-01
    “…For the statistical analysis, a fixed linear model was applied in which genotypes were considered as a fixed effect and the dependent variables included metabolites, milk production, milk composition, and SCC. …”
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  11. 831

    Stiffness Characteristics of High-Speed Railway Turnout and the Effect on the Dynamic Train-Turnout Interaction by Jingmang Xu, Ping Wang, Xiaochuan Ma, Yuan Gao, Rong Chen

    Published 2016-01-01
    “…Track stiffness in railway turnouts is variable due to differences in structural composition along the longitudinal direction, which will lead to severe dynamic interaction between train and turnout. …”
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  12. 832

    Optimization of non-smooth functions via differentiable surrogates. by Shikun Chen, Zebin Huang, Wenlong Zheng

    Published 2025-01-01
    “…These models are commonly used to predict outputs based on a combination of fixed parameters and adjustable variables. …”
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  13. 833

    Intestinal permeability of N-acetylcysteine is driven by gut microbiota-dependent cysteine palmitoylation by Yu-Hang Zhang, Chen-Shu Dai, Ya-Jie Wang, Wen-Yu Wang, Tian-Tian Qi, Man-Cheng Xia, Gan Zhou, Yi-Min Cui

    Published 2025-05-01
    “…However, identifying microbial-drug interactions remains challenging due to the highly variable composition of intestinal flora among individuals. …”
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  14. 834

    Predicting the sport level in elite male motorcycle speedway riders based on physical profile and experience. by Stefan Szczepan, Zofia Wróblewska, Faye Perkins, Maciej Markowski, Kamil Michalik

    Published 2025-01-01
    “…The strongest predictive variable of sport level in the regression model (R2 = 0.28) was body height (p = 0.043) and sport experience (p < 0.001). …”
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  15. 835

    Genetic characteristics and classification of soils developed from parent materials of red bed in the subtropical region: take Zhejiang Province as an example by ZHANG Mingkui, WU Mengjie

    Published 2022-04-01
    “…The paleoenvironment of red bed formation had a profound impact on the material composition of the soils, and the modern topography affected the stage of soil development, and the land-use mode could change the vertical development of the soils. …”
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  16. 836

    The acute response of irisin to resistance and endurance exercise at both lower and higher intensities in healthy older adults by James E. Newman, Isabel King, Nicole Flemming, Kathryn M. Broadhouse, Robert Buhmann, Grace L. Rose, David G. Jenkins, Christopher D. Askew, Mia A. Schaumberg

    Published 2025-10-01
    “…However, previous research investigating the exercise-induced release of irisin in older populations is scarce and findings are highly variable. The present study investigated the effects of exercise mode and intensity on short-term acute post-exercise irisin concentrations in older adults. …”
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  17. 837

    Customers’ Perceptions as an Antecedent of Satisfaction with Online Retailing Services by Peter Misiani Mwencha, Stephen Makau Muathe

    Published 2018-01-01
    “…This paper reports the results of a study that investigated the antecedent role of customers’ perceptions vis-a-vis satisfaction with online retailing services. While the study model conceptualizes customers’ perceptions as a composite variable made up of three dimensions (perceived attributes, perceived risk and perceived value) prescribed by four established information systems (IS) and consumer behaviour frameworks, namely the Technology Acceptance Model (TAM), Perceived Risk Theory (PRT), Theory of Consumption Values (TCV) and Expectations-Artifact Model of Satisfaction (EAMS), it does not specify how the different perceptual factors infl uence online satisfaction; instead it aggregates all three dimensions into a higher-order construct called “customers’ perceptions” and tries to understand the nature of relationship between the composite independent variable and the dependent variable. …”
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  18. 838

    Abdominal and hip fat percentages are associated with fragility fractures: evidence from a large cross-sectional study by Hamzah Amin, Muhammed Aqib Khan, Marwan Bukhari

    Published 2025-07-01
    “…Multivariable logistic regression models were fit with the dependant variable being hip or any fragility fracture and the independent variable being the binary regional body composition groups. …”
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  19. 839

    Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

    Published 2024-12-01
    “…This research examines the information from 212 cities to suggest a helpful regression model for garbage forecasting and control. To establish a connection between the variables, the descriptive study employs statistical techniques to learn about the composition of data collected from municipal corporations and conduct correlation analysis. …”
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  20. 840

    Deep-learning-based detection of underwater fluids in multiple multibeam echosounder data by Tyméa Perret, Gilles Le Chenadec, Arnaud Gaillot, Yoann Ladroit, Stéphanie Dupré

    Published 2025-02-01
    “…Additionally, we thoroughly analyzed the composition of the training dataset and evaluated the detection performance based on various training configurations. …”
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