The literature is bereft of information about the age at which infants with Down syndrome (DS) acquire motor skills and the percentage of infants that do so by the age of 12 months. Therefore, it is necessary to identify the difference in age, in relation to typical infants, at which motor skills were acquired and the percentage of infants with DS that acquire them in the first year of life. Infants with DS (N=20) and typical infants (N=25), both aged between 3 and 12 months, were evaluated monthly using the AIMS. In the prone position, a difference of up to 3 months was found for the acquisition of the 3rd to 16th skill. There was a difference in the percentage of infants with DS who acquired the 10th to 21st skill (from 71% to 7%). In the supine position, a difference of up to one month was found from the 3rd to 7th skill; however, 100% were able to perform these skills. In the sitting position, a difference of 1-4 months was found from the 1st to 12th skill, ranging from 69% to 29% from the 9th to 12th. In the upright position, the difference was 2-3 months from the 3rd to 8th skill. Only 13% acquired the 8th skill and no other skill was acquired up to the age of 12 months. The more complex the skills the greater the difference in age between typical infants and those with DS and the lower the percentage of DS individuals who performed the skills in the prone, sitting and upright positions. None of the DS infants were able to stand without support.
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http://dx.doi.org/10.1016/j.ridd.2012.11.021 | DOI Listing |
J Fluoresc
January 2025
Central Research Laboratory, Kastamonu University, 37200, Kastamonu, Turkey.
Fluorescence characterization of halophilic archaeal C50 carotenoid-bacterioruberin extracts was investigated using UV/Vis and steady-state fluorescence spectrophotometry in solvents with different polarity. Different extracts showed maximum absorption and fluorescence wavelengths between 369-536 nm and 540-569 nm. Stokes' shifts varied between 50-79 nm depending on the solvent.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Department of Oral and Maxillofacial Surgery, Radboud University Medical Center, Geert Grooteplein 10, Nijmegen, 6525, GA, the Netherlands.
Objectives: To assess the effect of patient positioning and general anesthesia on the condylar position in orthognathic surgery.
Materials And Methods: This prospective study included patients undergoing orthognathic surgery between 2019 and 2020. Four weeks prior to surgery (T0) cone-beam computed tomography (CBCT) scans and intra-oral scans (IOS) were acquired in an upright position.
Soc Stud Sci
January 2025
Science, Technology and Innovation Studies, The University of Edinburgh, Edinburgh, Scotland, UK.
Accounts of the origins of the genomic commons typically focus on the development of public repositories and data-sharing agreements. This article tells a different story. During the 1990s in the United States, efforts of private companies to prevent the patenting of certain kinds of DNA sequences were essentially a conservative response to shifts in the sociotechnical constitution of the pharmaceutical innovation system, and to the operation of intellectual property as one of the key knowledge control regimes that regulate that system.
View Article and Find Full Text PDFJ Esthet Restor Dent
January 2025
Department of Restorative Dentistry, Faculty of Dentistry, Kırıkkale University, Kırıkkale, Türkiye.
Objective: This in vitro study aims to evaluate the effect of placing polyethylene fibers used in large Class II MOD (mesio-occlusion-distal) cavities into different flowable resin composites and in different positions on the fracture resistance of the restoration.
Materials And Methods: Ninety healthy human molars were used in the study. No treatment was performed on 10 of these teeth and they were used as the control group.
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
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