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  1. 3441

    DETERMINANTS OF GROWTH ASPIRATIONS: EMPIRICAL EVIDENCE OF THE SOUTH-EASTERN EUROPEAN COUNTRIES by Karin Širec, Dijana Močnik

    Published 2013-05-01
    “…The data for our analysis is obtained from the 2010 Global Entrepreneurship Monitor Adult Population Survey (APS) in which 1,106 early-stage entrepreneurs from eight countries were identified. The results of the binary logistic regression show that innovative orientation is negatively related to the firms' growth aspirations. …”
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  2. 3442

    Synergistic Sintering of Lignite Fly Ash and Steelmaking Residues towards Sustainable Compacted Ceramics by V. G. Karayannis, A. K. Moutsatsou, A. N. Baklavaridis, E. L. Katsika, A. E. Domopoulou

    Published 2017-01-01
    “…In this work, the synergistic sintering of ternary and binary mixtures of fly ash, steelmaking electric arc furnace dust, and ladle furnace slag for the synthesis of compacted ceramics is reported. …”
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  3. 3443

    Psychometric Properties of the Persian Version of the Strength‐Based Parenting Scale in an Adolescent Sample by Ahmad Asgarizadeh, Omid Shokri

    Published 2025-01-01
    “…Finding Confirmatory factor analysis supported a two‐factor structure comprising dimensions of “knowledge of strengths” and “use of strengths,” the measurement invariance of which was established across sexes and school grades. …”
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  4. 3444

    Seizure-Related Injuries among People with Epilepsy at the Outpatient Department of the University of Gondar Hospital, Northwest Ethiopia: Cross-Sectional Institutional-Based Study by Berhanu Boru Bifftu, Bewket Tadesse Tiruneh, Mengistu Mekonnen Kelkay, Nestanet Habte Bayu, Abebe Woldesellassie Tewolde, Wubet Worku Takele, Mehammed Adem Getnet, Abere Woretaw Azagew

    Published 2017-01-01
    “…Cross-sectional study design was utilized to enroll the selected study participants using systematic random sampling technique. Binary and multivariable logistic regression were fitted to identify associated factors using an odds ratio and 95% CI. …”
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  5. 3445

    Influence of Helicobacter pylori Infection on Metabolic Syndrome in Old Chinese People by Wen Yang, Cunfu Xuan

    Published 2016-01-01
    “…It was found that BMI (p<0.01, OR 74.469), H. pylori infection (p<0.01, OR 5.427), total cholesterol (p<0.01, OR 15.544), and diabetes mellitus (p<0.01, OR 23.957) were significantly associated with the risk of metabolic syndrome by binary logistic regression analysis. Conclusions. …”
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  6. 3446

    Removal of Cd(II) and Cu(II) from Aqueous Solution by Na+-Modified Pisha Sandstone by Xia Wang, Yongxing Cui, Qi Peng, Chenbin Fan, Zhiqin Zhang, Xingchang Zhang

    Published 2020-01-01
    “…The values of the thermodynamic parameters indicated that the interactions were spontaneous endothermic reactions. Binary solutions adsorption isotherms indicated that the linearity of the adsorption amount and initial concentration of Cu(II) and Cd(II) was better in certain ranges and the adsorbents were selective towards Cu(II) rather than Cd(II). …”
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  7. 3447

    Gendered Cartographies in Melissa Scott’s Science Fiction: Queering Shadow Man (1995) by Beatriz Hermida Ramos

    Published 2025-01-01
    “…In the text, Scott presents both a seemly all-inclusive place where different gender identities, sexual orientations and sex differences are recognized and accepted, as well as a second national space where the gender binary and heteronormativity are not only heavily endorsed but also seen as a prerequisite to belong and be recognized as human. …”
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  8. 3448

    A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data by Jinxia Li, Liwei Lu

    Published 2024-01-01
    “…By enhancing the group-follow-the-proximally-regularized-leader (GFTPRL) algorithm, we have created a new method for the online group lasso model that integrates differential privacy for binary classification in logistic regression. The research offers a solid validation of the algorithm’s effectiveness based on differential privacy and online learning principles. …”
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  9. 3449

    On the development of diagnostic support algorithms based on CPET biosignals data via machine learning and wavelets by Rafael F. Pinheiro, Rui Fonseca-Pinto

    Published 2025-01-01
    “…The model was trained on CPET data from 45 participants, including 15 with MS, 15 with HF, and 15 healthy controls. For binary classification tasks, the SVM with a polynomial kernel and 5-level wavelet transform (SVM-POL-BW5) outperformed similar methods described in the literature. …”
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  10. 3450

    Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia by Debebe Cheber, Fekadu Beyene, Jema Haji, Tesfaye Lemma

    Published 2025-01-01
    “…The factors which influenced vulnerability to food insecurity were analyzed using binary logistic regression model. Accordingly, based on the intensity of their vulnerability, households were grouped as chronic food insecure (43.72%), transient food insecure (12.57%), highly vulnerable-food secure (16.23%), and low vulnerable-food secure (27.49%). …”
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  11. 3451

    A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs by Guido Bologna, Yoichi Hayashi

    Published 2018-01-01
    “…In this work, based on the Discretized Interpretable Multilayer Perceptron (DIMLP), experiments were performed on 10 repetitions of stratified 10-fold cross-validation trials over 25 binary classification problems. The DIMLP architecture allowed us to produce rules from DIMLP ensembles, boosted shallow trees (BSTs), and Support Vector Machines (SVM). …”
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  12. 3452

    From lab to real-life: A three-stage validation of wearable technology for stress monitoring by Basil A. Darwish, Shafiq Ul Rehman, Ibrahim Sadek, Nancy M. Salem, Ghada Kareem, Lamees N. Mahmoud

    Published 2025-06-01
    “…Using the controlled WESAD dataset, binary and five-class classification models were developed, achieving maximum accuracies of 99.78 %±0.15 % and 99.61 %±0.32 %, respectively. …”
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  13. 3453

    Subclinical systolic dysfunction in children with steroid-resistant nephrotic syndrome identified by speckle tracking echocardiography by Mohamed Hashem Mahgoob, Amr Mostafa Setouhi

    Published 2025-02-01
    “…The left ventricle global longitudinal strain (LV GLS) was markedly lower in children with SRNS than in healthy controls and NS patients (the diseased controls) (P = 0.001). Multiple binary regression analysis for the predictors of systolic dysfunction in SRNS patients revealed that the serum albumin is the only variable that predicts systolic dysfunction in these children. …”
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  14. 3454

    Analysis of non scalar control problems for parabolic systems by the block moment method by Boyer, Franck, Morancey, Morgan

    Published 2023-10-01
    “…This article deals with abstract linear time invariant controlled systems of parabolic type. In [9], with A. …”
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  15. 3455

    Effective dipole model for electrostatic interactions between polarizable spherical particles in particle scale simulations by Maria Giordano, Francesca O. Alfano, Francesco P. Di Maio, Alberto Di Renzo

    Published 2025-01-01
    “…Then, the dynamic DEM simulation of a shaker filled with a binary mixture of differently sized particles that are all positively charged is shown to predict the counterintuitive formation of fine-on-coarse aggregates.…”
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  16. 3456

    Ceruloplasmin and the Extent of Heart Failure in Ischemic and Nonischemic Cardiomyopathy Patients by Yifei Xu, Haiyan Lin, Ying Zhou, Gang Cheng, Geng Xu

    Published 2013-01-01
    “…The correlation between ceruloplasmin and extent of heart failure was calculated by binary logistic regression. Ceruloplasmin showed an independent association with the extent of heart failure in nonischemic cardiomyopathy patients (P<0.05). …”
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  17. 3457

    CARSP: A Smart Parking System Based on Doubly Periodic Rolling Horizon Allocation Approach by Shangbin Ning, Zhenyu Han, Yang Yang, Zhenzhou Yuan, Xianyu Wu

    Published 2022-01-01
    “…We formulate a narrow allocation model (without reallocation) and broad allocation model (with reallocation), both of which are binary integer programming models with the objective of maximizing system integrated benefit. …”
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  18. 3458

    Enhancing Software Requirements Classification with Semisupervised GAN-BERT Technique by Gregorius Airlangga

    Published 2024-01-01
    “…Our research is primarily centered on developing a semisupervised methodology that hinges on GAN-BERT, introducing two datasets for the requirements of the engineering community and delivering comparative studies that consider a variety of classifiers and two labeling paradigms, namely, binary and multi. Remarkably, even with fewer data in a multiclassification scenario, our model outperforms other classifiers when assessing data from both identical and different domains.…”
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  19. 3459

    Work Interruption Experienced by Nurses during Medication Administration Process and Associated Factors, Northwest Ethiopia by Mehammed Adem Getnet, Berhanu Boru Bifftu

    Published 2017-01-01
    “…EPI Info version 3.5.3 and SPSS version 20 software were utilized for data entry and analysis, respectively. Binary and multivariable logistic regression were fitted to identify the associated factors using an odds ratio and 95% CI. …”
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  20. 3460

    The Impact of Endoscopic Linear Stapling Device Stability in Thoracic Surgery: A Delphi Panel Approach by Daniel Miller, Diego Gonzalez Rivas, Kellie L. Meyer, Ryan S. Clark, Tadasu Kohno

    Published 2016-10-01
    “…**Methods:** Eight thoracic surgeons representing 8 countries participated in a Delphi panel process using 2 anonymous surveys. The first included binary, multiple-response, and Likert scale-type questions, which were converted into affirmative statements for survey 2 if an adequate number of respondents answered similarly. …”
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