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  1. 8341
  2. 8342

    Improving Mechanical Properties of Nanocomposite-based Epoxy by High-impact Polystyrene and Multiwalled Carbon Nanotubes: Optimizing by a Mixture Design Approach by Yasser Rostamiyan

    Published 2017-04-01
    “…Mixture design methodology was employed to generate mathematical models for predicting damping 1st and damping 2nd behaviors of new mentioned hybrid nanocomposite as function of physical factors and optimizing desired mechanical properties. …”
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  3. 8343

    Sex, Gore and Provocation: the Influence of Exploitation in John Waters’s Early Films by Elise Pereira Nunes

    Published 2016-07-01
    “…Likewise, Waters’s emulations of the mondo films, pseudo-documentaries depicting sensational topics and supposedly real barbaric human behaviors all around the world, have also contributed to gross out his audiences. …”
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  4. 8344

    Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data by David Grethlein, Venk Kandadai, Will Dampier

    Published 2023-05-01
    “…Since NCI-screening is typically only effective for more progressed forms of HAND, there is a critical need to identify individuals that should be referred to specialists in order to mitigate potentially dangerous driving behaviors and improve their quality of life. Data collected from (n = 81) study participants that used the virtual driving test (VDT) platform were analyzed in order to predict which drivers had NCI. …”
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  5. 8345

    Unraveling Academic Procrastination: The Roles of Self-Efficacy, Online Game Addiction, and Peer Conformity in University Students by Daffa Dania Nur Anis, Farhanah Murniasih

    Published 2025-06-01
    “…The findings underscore the importance of addressing behavioral disruptions—especially problematic gaming—rather than relying solely on enhancing self-efficacy or modifying peer norms. …”
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  6. 8346

    Health Literacy and Self-Efficacy among University Students in the United States by Lauren Beasley, Steven Hoffman, Emily McCracy, Tucker Wallace

    Published 2025-07-01
    “…Self-efficacy (one’s belief in their abilities) and health literacy (one’s ability to read, understand, and apply health information) are two factors that promote wellbeing and positive health behaviors among college students, but little research has been conducted so far that looks at the relationship between these protective factors. …”
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  7. 8347
  8. 8348

    Gut microbiota remodeling exacerbates neuroinflammation and cognitive dysfunction via the microbiota-gut-brain axis in prenatal VPA-exposed C57BL/6 mice offspring by Zhaoming Liu, Zhaoming Liu, Caixia Wu, Caixia Wu, Zhaojian Sun, Zuoxian Lin, Yirong Sun, Nouman Amjad, Muhammad Majid, Rajesh Basnet, Zhiyuan Li, Zhiyuan Li, Zhiyuan Li

    Published 2025-08-01
    “…Gut microbiota profiles were analyzed via 16S rRNA sequencing, with functional pathway predictions using PICRUSt2 and KEGG databases.ResultsVPA-exposed mice exhibited ASD-like behaviors, including social deficits, repetitive stereotypic actions, and impaired spatial memory. …”
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  9. 8349

    PD-L1 pfeRNAs as blood-based predictors of treatment response of unresectable malignant pleural mesothelioma patients administered Durvalumab with cisplatin and pemetrexed as first... by Andrei Gurau, Suguru Yamauchi, Kaitlyn Ecoff, Kristen P. Rodgers, James R. Eshleman, Charles Conover Talbot Jr, Peng Huang, Joshua Choi, Patrick M. Forde, Valsamo Anagnostou, Malcolm Brock, Yuping Mei

    Published 2025-06-01
    “…Methods: We specified PDLpfeRNAs by sncRNA deep sequencing, confirmed their binding to PD-L1 by immunoprecipitation and reverse pull-down assays, and demonstrated their roles in controlling the interaction behaviors of PD1/L1 through quality-controlled drug development assays. …”
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  10. 8350

    Marine soundscape forecasting: A deep learning-based approach by Shashidhar Siddagangaiah

    Published 2025-11-01
    “…The deep-learning forecasting models produced more accurate predictions in the mid (500–3000 Hz) (MAE ∼0.4–1) and high (3000–24,000 Hz) (MAE ∼1.5–3) frequency ranges, where seasonal acoustic activity from fish and shrimp strongly influenced sound levels. …”
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  12. 8352

    Developing a Sleep Algxorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study by Jeffrey M Cochran

    Published 2024-12-01
    “… Abstract BackgroundSleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. …”
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    Epidemiological assessment of the role of human temperament type in the formation of infectious morbidity by A. E. Zobov, A. A. Kuzin, V. H. Le, A. A. Panov, N. Yu. Sopova, N. L. Dianova, A. V. Popova

    Published 2025-06-01
    “…It was found that in most cases (67.7% ± 5.2% of cases), military personnel of all groups with the “melancholic” temperament type with a high level of personal and situational anxiety noted the presence of frequent colds (more than 3 times a year) in childhood and adolescence. Behavioral risk factors were identified, although they do not directly affect the occurrence of infectious diseases, but play a significant role in maintaining epidemiological distress. …”
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