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  1. 5101

    Objective tests and the assessment of the acoustic properties of ear-plugs by E. Kotarbińska, E. Kozłowski, R. Młyński

    Published 2014-01-01
    “…There is no requirement of maximum variability in ear-plug insertion loss measured objectively like the requirement of maximum variability in ear-muff insertion loss. …”
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  2. 5102
  3. 5103

    METHOD OF THE GLOBAL FITTING OF THE GENERALIZED RADIOGENIC RISK MODELS TO THE JAPANESE COHORT DATA by A. T. Gubin

    Published 2018-10-01
    “…The method consists in the averaging of the local estimates of the parameters calculated based on the values of the rate of the mortality in the ends of different segments of age at exposure and attained age within the entire examined area of change of these variables. …”
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  4. 5104

    Multi-task neural network for solving the problem of recognizing the type of QAM and PSK modulation under parametric a priori uncertainty by A. A. Paramonov, V. M. Nguyen, M. T. Nguyen

    Published 2023-08-01
    “…Automatic modulation recognition of unknown signals is an important task for various fields oftechnology such as radio control, radio monitoring, and identification of interference and sources of radio emission. The paper aims to develop a method for recognizing the types of signal modulation under conditions of parametric a priori uncertainty, including the uncertainty of carrier frequency- and initial signal phase values. …”
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  5. 5105

    The Influence of Inspiring Leadership and Religiosity on Teacher Performance by Efrita Norman, Arman Paramansyah, Abdul Wahid Zaini

    Published 2024-04-01
    “…Data analysis used validity and reliability tests, multiple linear regression, and t and F values testing to assess the significance of the influence of independent variables on teacher performance. …”
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  6. 5106

    Determining the Typologies of Basketball Fans by Alperen Halici, Can Çavin Otkan

    Published 2024-12-01
    “…This research aims to determine the typologies of basketball fans and reveal whether the variables differ according to the typologies. …”
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  7. 5107

    Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

    Published 2025-08-01
    “…In order to make comparisons, the objective function, decision variables and their boundary values were taken as the same. …”
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  8. 5108

    Phytosanitary quality of Brachiaria brizantha ‘BRS Piatã’ seeds in function of climate conditions by Givanildo Z. da Silva, Cibele C. Martins, Luciana C. do Nascimento, Gabriel G. Barreto, Otília R. de Farias

    “…Thus, in this study, it was aimed to identify climatic variables of the regions that propitiate the production of Brachiaria brizantha ‘BRS Piatã’ seeds infected with phytopathogenic fungi. …”
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  9. 5109

    Spatial and Temporal Patterns of Rainfall Erosivity in Southern Africa in Extreme Wet and Dry Years by Jasper Knight, Mohamed A. M. Abd Elbasit

    Published 2024-10-01
    “…Furthermore, the mismatch between PCI and MFI spatial patterns across the region highlights that, under semiarid, and highly seasonal rainfall regimes, episodic rainfall events interspersed with periods of dryness result in significant variability in erosivity values that are unaccounted for by rainfall totals or seasonality alone. …”
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  10. 5110

    Effects of Climate Change on Distribution Areas of Former Endemic Plant Species Campanula lyrata Lam. by Behlül Güler

    Published 2021-06-01
    “…The most relevant relative importance variables were precipitation seasonality and precipitation of the wettest month. …”
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  11. 5111

    Prevalence of newly diagnosed high blood pressure among female adults aged 18 to 50 years in south western Nigeria by Ngozi A. Ukangwa, Ijeoma Esiaba, Abolanle A.A. Kayode

    Published 2025-01-01
    “…Blood pressure was obtained in compliance with standard procedure Data were evaluated and shown as numbers and percentages for categorical variables while continuous variables were represented as average mean and standard deviation. …”
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  12. 5112

    infomeasure: a comprehensive Python package for information theory measures and estimators by Carlson Moses Büth, Kishor Acharya, Massimiliano Zanin

    Published 2025-08-01
    “…It is designed for both discrete and continuous variables; implements state-of-the-art estimation techniques; and allows the calculation of local measure values, p-values and t-scores. …”
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  13. 5113

    INTRA-INDUSTRY TRADE IN AGRICULTURAL AND FOOD PRODUCTS: THE CASE OF MOLDOVA by Liliana CIMPOIES, Cornel COSER

    Published 2017-01-01
    “…For most commodity groups the GL values present average high variability over time, fact which reflects the structural changes in Moldavian agri-food trade. …”
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  14. 5114

    gamma-H2AX: A potential biomarker in breast cancer by Palla Viktoria Varvara, Georgios Karaolanis, Christos Valavanis, Gabriela Stanc, Olympia Tzaida, Helen Trihia, Paul Patapis, Dimitrios Dimitroulis, Despoina Perrea

    Published 2019-09-01
    “…Gamma-H2AX expression in tissues from 110 breast cancer patients was analyzed by immunohistochemistry and correlated with clinicopathological variables. Greater tumor size, higher grade, and the number of affected lymph nodes are significantly associated with greater values of gamma-H2AX. …”
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  15. 5115

    Monitoring the cognitive load in competitive environments in professional women’s basketball by Joan Fuster, Lluis Capdevila, Lluis Capdevila, Toni Caparros, Toni Caparros

    Published 2025-04-01
    “…This study aims to describe the dynamics of training loads during specific training sessions, to determine the possible differences among the metrics of Cognitive Load (CL), External Load (EL) and Internal Load (IL) between training sessions and to assess the possible relationship between the CL, EL and IL variables to completely monitor the athletes’ performance level. …”
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  16. 5116

    Modeling the shrimp aquaculture wastewater pollutant removals by clam shell using structural equation model by N.D. Takarina, O.M. Chuan, A. Adiwibowo, M.A. Adidharma

    Published 2025-01-01
    “…According to model results and factor loading values, water variables that contribute significantly to the metal removals were total alkanility, followed by potential hydrogen. …”
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  17. 5117

    Association between estimated glucose disposal rate and major adverse cardiovascular events in patients with type 2 diabetes. by Maojun Liu, Junyu Pei, Xinqun Hu, Xiaopu Wang

    Published 2025-01-01
    “…Participants were divided into tertiles based on eGDR values. HbA1c variability was assessed using the HbA1c Variability Score (HVS). …”
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  18. 5118

    Prevalence of overweight/obesity and its association with fast food consumption among adolescents in Southern Ethiopia, 2022: a community-based cross-sectional study by Chernet Elias, Awoke Abraham, Chernet Asrat, Tagese Yakob, Daniel Girma

    Published 2025-01-01
    “…The data were coded, cleaned, and imported into EPI-INF version 7.2 before being exported to SPSS version 25 for analysis. All variables with p-values less than or equal to 0.25 in bivariate logistic regression were candidate variables for multivariable logistic regression. …”
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  19. 5119

    Autistic Sensory Traits and Psychological Distress: Mediating Role of Worry and Intolerance of Uncertainty by Patricia Recio, Pilar Pozo, Cristina García-López, Encarnación Sarriá

    Published 2024-10-01
    “…Results: The model fit index values tested through path analysis indicated a good fit (χ<sup>2</sup> = 5.65; <i>p</i> = 0.13 ns; CFI = 0.993; NFI = 0.985; RMSEA = 0.079; SRMR = 0.025) and identified worry and intolerance of uncertainty as significant mediating variables within a comprehensive explanatory model. …”
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  20. 5120

    Correlation to FVIII:C in two thrombin generation tests: TGA-CAT and INNOVANCE ETP by Marcus Ljungkvist

    Published 2017-11-01
    “…When dividing the study material into disease severity groups (mild, moderate and severe) based on FVIII levels, both methods fail to discriminate between them. The variability of the TGA-CAT results performed at the two centers was reduced after normalization, before normalization 29% of values showed less than ±10% difference while after normalization the number increased to 41%. …”
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