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21
Fifty Definitions of English Learner: A Proposed Solution to Inconsistent State-by-State Systems in the United States for Classifying Students Who Speak English as a Second Language
In: Educational Considerations (2022)
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22
Supplemental materials for paper: The Critical Review to Practical Inquiries of Action Research Framework ...
sarbunan, thobias. - : Open Science Framework, 2022
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23
Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ...
Lazić, Aleksandra. - : Open Science Framework, 2022
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24
CHALLENGES IN PLURILINGUAL EDUCATION ...
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25
CHALLENGES IN PLURILINGUAL EDUCATION ...
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26
Eleni_I_Meletiadou_PhD.pdf ...
Meletiadou, Eleni. - : figshare, 2022
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27
Eleni_I_Meletiadou_PhD.pdf ...
Meletiadou, Eleni. - : figshare, 2022
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28
Internship Midterm and Final Evaluation Surveys Aligned with Course Goals and IUPUI+
Haas, Hannah J.. - : Indiana University, 2022
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29
Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
Sekerina, Irina. - : Open Science Framework, 2022
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30
Case study: Co-creating a flipped feed-in approach to a virtual biochemistry lab assessment: increasing student achievement and engagement in a large, diverse cohort
Cassambai, Shabana; Bridge, Hannah; Gill, Palak K.. - : Portland Press, 2022
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31
Some Trends in Fuzzy Decision Making
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32
Safeguarding fairness in assessments—How teachers develop joint practices
Barman, Linda; McGrath, Cormac; Josephsson, Staffan. - : KTH, Lärande, 2022. : Department of Education Stockholm University Stockholm Sweden, 2022. : Department of Neurobiology, Care Sciences and Society Karolinska Institutet Stockholm Sweden, 2022. : Department of Learning, Informatics, Management and Ethics Karolinska Institutet Stockholm Sweden, 2022. : Department of Education Stockholm University Stockholm Sweden;Department of Learning, Informatics, Management and Ethics Karolinska Institutet Stockholm Sweden, 2022
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33
Dysarthria Subgroups in Talkers with Huntington’s Disease: Comparison of Two Data-Driven Classification Approaches
In: Brain Sciences; Volume 12; Issue 4; Pages: 492 (2022)
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34
Pragmatic Profiles of Adults with Fragile X Syndrome and Williams Syndrome
In: Brain Sciences; Volume 12; Issue 3; Pages: 385 (2022)
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35
Orofacial Muscle Strength across the Dysarthrias
In: Brain Sciences; Volume 12; Issue 3; Pages: 365 (2022)
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36
Rapid Identification of Patients Eligible for Direct Emergent Computed Tomography Angiography during Acute Ischemic Stroke: The DARE-PACE Assessment
In: Diagnostics; Volume 12; Issue 2; Pages: 511 (2022)
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37
Robust Estimation of the Chronological Age of Children and Adolescents Using Tooth Geometry Indicators and POD-GP
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2952 (2022)
Abstract: Determining the chronological age of children or adolescents is becoming an extremely necessary and important issue. Correct age-assessment methods are especially important in the process of international adoption and in the case of immigrants without valid documents confirming their identity. It is well known that traditional, analog methods widely used in clinical evaluation are burdened with a high error rate and are characterized by low accuracy. On the other hand, new digital approaches appear in medicine more and more often, which allow the increase of the accuracy of these estimates, and thus equip doctors with a tool for reliable estimation of the chronological age of children and adolescents. In this study, the work on a fast and effective metamodel is continued. Metamodels have one great advantage over all other analog and quasidigital methods—if they are well trained, a priori, on a representative set of samples, then in the age-assessment phase, results are obtained in a fraction of a second and with little error (reduced to ±7.5 months). In the here-proposed method, the standard deviation for each estimate is additionally obtained, which allows the assessment of the certainty of each result. In this study, 619 pantomographic photos of 619 patients (296 girls and 323 boys) of different ages were used. In the numerical procedure, on the other hand, a metamodel based on the Proper Orthogonal Decomposition (POD) and Gaussian processes (GP) were utilized. The accuracy of the trained model was up to 95%.
Keyword: age assessment; artificial intelligence; chronological age; dental age; digital image analysis; digital pantomography; Gaussian processes; proper orthogonal decomposition
URL: https://doi.org/10.3390/ijerph19052952
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38
Moving from Needs Assessment to Intervention: Fathers’ Perspectives on Their Needs and Support for Talk with Teens about Sex
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3315 (2022)
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39
A Risk Assessment Framework of Hybrid Offshore Wind–Solar PV Power Plants under a Probabilistic Linguistic Environment
In: Sustainability; Volume 14; Issue 7; Pages: 4197 (2022)
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40
Linguistic Influences on Cognitive Test Performance: Examinee Characteristics Are More Important than Test Characteristics
In: Journal of Intelligence; Volume 10; Issue 1; Pages: 8 (2022)
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