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  1. 541

    Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation by Kumiko Nomura, Yoshifumi Nishi

    Published 2024-11-01
    “…We observe that the spiking RNN with our IP and SP models realizes the true positive rate of 1 with the false positive rate being suppressed at 0 successfully, which does not occur otherwise. …”
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    Article
  2. 542

    The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Da... by Baldev M. Singh, Nisha Kumari-Dewat, Vijay Klaire, Jonathan Lampitt, Amy Palmer, Adam Ryder, Kamran Ahmed, Mona Sidhu, Hannah Jennens, Ananth Viswanath, Emma Parry

    Published 2025-05-01
    “…Findings: At 12 months, mortality was 2753 (1.2%), with 1366 (0.6%) in e-SQ-Yes vs 1377 e-SQ-No (11.0%, 50% of all deaths, OR 19.4 (17.9–20.9), p < 0.001 (binary logistic regression)). The model's ROC c-statistic for 1-year mortality was 0.73 (0.72–0.74) (p < 0.001) and sensitivity, specificity, positive and negative predictive values 50.0%, 95.1%, 11.0%, and 99.4% respectively. …”
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  3. 543

    Comparative Study of Clostridium difficile Clinical Detection Methods in Patients with Diarrhoea by Yanyan Xiao, Yong Liu, Xiaosong Qin

    Published 2020-01-01
    “…Of 150 specimens, 26 carried both A and B toxin genes, and none of the samples were positive for the binary toxin gene. Toxin-producing C. difficile was found in 17.3% (26/150) of the samples. …”
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  4. 544

    FAKTOR YANG MEMPENGARUHI MINAT GENERASI MILINEAL UNTUK MELANJUTKAN USAHATANI KELUARGA DI KECAMATAN MEJAYAN, KABUPATEN MADIUN by Sri Widayanti, Septilia Ratnasari, Mubarokah Mubarokah, Dita Atasa

    Published 2021-09-01
    “…The results showed that the variables that had a positive influence were motivation, inheritance in the form of land, the community environment, while those that had a negative effect were gender and views on agriculture.…”
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    Article
  5. 545

    A Hybrid Algorithm with a Data Augmentation Method to Enhance the Performance of the Zero-Inflated Bernoulli Model by Chih-Jen Su, I-Fei Chen, Tzong-Ru Tsai, Yuhlong Lio

    Published 2025-05-01
    “…The zero-inflated Bernoulli model, enhanced with elastic net regularization, effectively handles binary classification for zero-inflated datasets. …”
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    Article
  6. 546

    A robust method for bridge safety risk assessment using improved multi-state fuzzy Bayesian network by Zhong Cao, Weicong He, Kaihong Chen, Rui Rao, Zhaohui Chen

    Published 2025-08-01
    “…Application to two urban bridges demonstrates the method’s effectiveness and robustness, positioning it as a valuable decision-making tool for bridge safety risk management.…”
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    Article
  7. 547

    Disability and entrepreneurial behavior: Psychological barriers, knowledge and enablers by Huan Meng, Junic Kim

    Published 2025-09-01
    “…Drawing on survey data, this study employs binary structural equation modeling using Mplus. The results reveal that entrepreneurial self-efficacy negatively affects entrepreneurial motivation in this context, contrary to dominant theoretical assumptions. …”
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    Article
  8. 548

    Effects of Eucalyptus camaldulensis Woodlot Plantation Expansion on Food Security in South Achefer District, West Gojjam, Amhara Region, Ethiopia by Kiros Getachew Belachew, Alemu Gashe Desta

    Published 2025-01-01
    “…The survey data were analyzed using descriptive and inferential statistics, and a binary logit regression model using SPSS software version 24. …”
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    Article
  9. 549

    Determinants of solar technology adoption in rural households: The case of Belesa districts, Amhara region of Ethiopia by Yasin Ahmed, Seid Ebrahim, Mohammed Ahmed

    Published 2022-12-01
    “…The data was collected through focus group discussions and key informant interviews. Binary logit models were utilize to analyze the data. …”
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    Article
  10. 550

    The Limitations of Posthuman Potentiality: Interspecies Collisions in Three Young Adult Speculative Trilogies by Rachel Hennessy

    Published 2024-12-01
    “…Young adult literature’s intersections with the posthuman often locate radical potential in the representation of hybridity via human-animal crossover characters, positioning them as sites that challenge human exceptionalism and superiority and promote interspecies connections. …”
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  11. 551

    Syntactic–Semantic Detection of Clone-Caused Vulnerabilities in the IoT Devices by Maxim Kalinin, Nikita Gribkov

    Published 2024-11-01
    “…To automate the search for clones, the BinDiff algorithm is added in the first stage to accurately select clone candidates. This has a positive impact on the ability to apply the proposed method to large sets of binary code. …”
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    Article
  12. 552

    Effect of FNS Incorporation on the Properties of Ternary Blended Cement Containing Blast Furnace Slag and Fly Ash by Min Jae Kim, Eon Sang Park, Woong Ik Hwang, Won Jung Cho

    Published 2022-01-01
    “…Overall, results showed that the incorporation of ferronickel slag affected positively the properties of concrete.…”
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  13. 553

    Association between Helicobacter pylori Infection and Colorectal Adenomatous Polyps by Wen Yang, Xueqing Yang

    Published 2019-01-01
    “…It was found that Helicobacter pylori infection (P<0.05, OR 2.383) was significantly associated with the risk of colorectal adenomatous polyps by binary logistic regression analysis. Conclusions. …”
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    Article
  14. 554

    Self-Concept Among Formerly Incarcerated Sexual Minority Women by Adinah Stone, Amy B. Smoyer, Karen D’Angelo

    Published 2025-06-01
    “…Self-concept is a key measure of mental health that is associated with increased self-efficacy and positive psychosocial outcomes. This analysis explores the ways in which incarceration impacts the self-concept of SMW. …”
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    Article
  15. 555

    EVALUATIVITY OF SOMATIC PHRASEOLOGY IN OLD ENGLISH VERSIONS OF THE PSALMS by Sergey V. Mukhin

    Published 2025-05-01
    “…On the example of the idiomatic word combinations with the components swiðre (right hand), heafod (head) and tunʒe (tongue) it is established that evaluativity of somatic idioms can fall into three types in conformity with the axiological potential of their key somatic components: positive, negative and binary. The study may be of interest to linguists specializing in phraseology, linguaculturology, and the history of English. …”
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  16. 556

    Effects of smoking on renal function and pathological changes in idiopathic membranous nephropathy (IMN) patients by LUAN Ru-mei, ZHENG Qian, CI Xin, LU Xue-hong

    Published 2020-01-01
    “…Results Single-factor correlation analysis showed that eGFR was negatively correlated with smoking(r=-0.26, P<0.05), and the total renal interstitial vascular score was positively correlated with smoking(r_s=0.69, P<0.01). …”
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  17. 557

    Performance Anomalies and Determinants of Equity Funds: Evidence from Türkiye by Aykan Coşkun

    Published 2025-06-01
    “…Given that the dependent variable is binary (presence/absence of anomaly), logistic regression analysis was employed. …”
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  18. 558

    Purpose, Values and Governance in Big Tech Companies by Blanaid Clarke

    Published 2022-11-01
    “…Often the choice in managing or overseeing the management of the company is framed as a binary choice between acting in the interests of shareholders or acting in the interests of broader stakeholder constituents. …”
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  19. 559

    Evaluating the economic effect of sustainable agricultural practices on small-scale farmers in the Eastern Cape Province: a propensity score matching analysis by Lelethu Mdoda, Olwethu Loki, Misery M. Sikwela

    Published 2025-12-01
    “…Descriptive statistics, binary logistic regression, and propensity score matching were used for analysis. …”
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  20. 560

    Human-alignment influences the utility of AI-assisted decision making by Nina L. Corvelo Benz, Manuel Gomez Rodriguez

    Published 2025-08-01
    “…Abstract Whenever an AI model is used to predict a relevant (binary) outcome in AI-assisted decision making, it is widely agreed that, together with each prediction, the model should provide an AI confidence value. …”
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