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PEMODELAN REGRESI SPASIAL DEPENDENSI PADA TINGKAT PARTISIASI ANGKATAN KERJA DI INDONESIA TAHUN 2020
Published 2021-12-01“…The spatial regression models used in this study are spatial Autoregressive Model (SAR) and Spatial Error Model (SEM), The finding concludes that the SAR model is better used in spatial modeling. …”
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Method of assessing deviation from the flute’s circularity of rolling tenon of a rolling cutter bit
Published 2017-08-01“…In this article carry make an analysis the factors affecting the accuracy of the assessment, educed the dimensional hookups between elements of measurement system and determined corresponding error.…”
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Deciphering consumer perceptions of Kisra prepared from biofortified and non-biofortified sorghum cultivars using the rate-all-that-apply (RATA) method
Published 2025-03-01“…The RATA model demonstrated a high assessor repeatability (0.994), homogeneity (0.904), and low global error (9.617). Sensory attributes, namely porousness, thickness, and sourness, were key drivers of preferences for Kisra made from Dahab. …”
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Calibration of double electroinduction spherical electric field strength sensor in a homogeneous field
Published 2022-04-01Get full text
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Feasibility of decentralised, task-shifted hepatitis C testing and treatment services in urban Myanmar: implications for scale-up
Published 2022-05-01“…Lessons from our project implementation experiences included the extensive time requirements for patient education, the importance of regular error monitoring and stock storage reviews and that flexible appointment scheduling and robust reminder system likely contributed to high retention in care.Conclusions Detailed documentation and dissemination of feasibility requirements and implementation considerations is vital to assist others to successfully implement a similar model of care elsewhere. …”
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Advancements in combustion technologies: A review of innovations, methodologies, and practical applications
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Cleaning images from impulse noise in a binary symmetrical channel
Published 2023-01-01Get full text
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Wealth-related inequalities of women’s cervical cancer screening in 11 Sub-Saharan African countries: evidence from a pooled decomposition analysis
Published 2025-04-01“…The weighted Erreygers normalized concentration index was 0.25 with a standard error of 0.0078 (P value < 0.0001), indicating a statistically significant pro-rich distribution of wealth-related inequalities in cervical cancer screening uptake among reproductive-aged women. …”
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Development of dietary KAP(knowledge, attitude and practice)questionnaires for patients with type 2 diabetes mellitus and their family members and assessment of reliability and val...
Published 2024-11-01“…The confirmatory factor analysis showed that the <i>Chi</i>-square degree of freedom ratio was calculated as 2.36 (patient version) and 2.58 (family member version), the comparative fit index was 0.84 (patient version) and 0.81 (family member version), the Tucker Lewis index was 0.83 (patient version) and 0.80 (family member version), and the approximate root mean square error was 0.07 (patient version) and 0.08 (family member version), respectively. …”
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Cervical cancer awareness and knowledge gaps among female high school teachers in Benghazi, Libya
Published 2025-06-01“…Based on a 95 % confidence interval and a 5 % margin of error, a minimum sample size of 350 participants was calculated using the Qualtrics.com sample size calculator. …”
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Sõnavaratesti väljatöötamine arengulise keelepuude tuvastamiseks kakskeelsetel lastel
Published 2025-04-01“…However, bilinguals face a greater risk of misdiagnosis, as the error types of typically developing bilinguals in their non-dominant language often resemble those of monolingual children with DLD (Boerma, Blom 2017). …”
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Structural equation modeling of factors influencing childhood vaccination in Saudi Arabia
Published 2025-07-01“…The model fit indices: P value 0.00, Root Mean Square Error of Approximation (RMSEA)= 0.058, Comparative Fit Index (CFI)= 0.866, Tucker Lewis index (TLI)= 0.911, demonstrate the model's overall fit to the data, which indicates a good model fit. …”
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