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Craniofacial anomalies are among the most common of birth defects. The pathogenesis of craniofacial anomalies frequently involves defects in the migration, proliferation, and fate of neural crest cells destined for the craniofacial skeleton. Genetic mutations causing deficient cranial neural crest migration and proliferation can result in Treacher Collins syndrome, Pierre Robin sequence, and cleft palate. Defects in post-migratory neural crest cells can result in pre- or post-ossification defects in the developing craniofacial skeleton and craniosynostosis (premature fusion of cranial bones/cranial sutures). The coronal suture is the most frequently fused suture in craniosynostosis syndromes. It exists as a biological boundary between the neural crest-derived frontal bone and paraxial mesoderm-derived parietal bone. The objective of this review is to frame our current understanding of neural crest cells in craniofacial development, craniofacial anomalies, and the pathogenesis of coronal craniosynostosis. We will also discuss novel approaches for advancing our knowledge and developing prevention and/or treatment strategies for craniofacial tissue regeneration and craniosynostosis.Magnesium hydride and selected magnesium-based ternary hydride (Mg2FeH6, Mg2NiH4, and Mg2CoH5) syntheses and modification methods, as well as the properties of the obtained materials, which are modified mostly by mechanical synthesis or milling, are reviewed in this work. The roles of selected additives (oxides, halides, and intermetallics), nanostructurization, polymorphic transformations, and cyclic stability are described. Despite the many years of investigations related to these hydrides and the significant number of different additives used, there are still many unknown factors that affect their hydrogen storage properties, reaction yield, and stability. The described compounds seem to be extremely interesting from a theoretical point of view. However, their practical application still remains debatable.Meat quality and carcass characteristics have gained the attention of breeders due to their increasing economic value. Thus, this study investigated the genomic prediction efficiencies of genomic best linear unbiased prediction (GBLUP) and single-step GBLUP (ssGBLUP) for traits associated with meat quality, sensory characteristics, and fatty-acid composition. A total of 1237 Duroc finishing pigs with 654 individuals genotyped using the Illumina Porcine SNP 60k marker panel were used in this study. Prediction accuracy and bias for GBLUP and ssGBLUP were evaluated using a five-replicates of five-fold cross-validation. Estimation of genetic parameters for traits associated with meat quality, including lightness, yellowness, redness, pH at 24 h post-mortem, moisture content, fat content, water-holding capacity, cooking loss except for shear force (0.19), as well as fatty-acid composition (palmitic, stearic, oleic, linoleic, and linolenic fatty acids), revealed moderate to high heritability estimates ranging from 0.25 to 0.72 and 0.27 to 0.50, respectively, whereas all traits related to sensory characteristics (color, flavor, tenderness, juiciness, and palatability) showed low heritability estimates ranging from 0.08 to 0.14. Meanwhile, assessment of genomic prediction accuracy revealed that ssGBLUP exhibited higher prediction accuracy than GBLUP for meat quality traits, fatty-acid composition, and sensory characteristics, with percentage improvements ranging from 1.90% to 56.07%, 0.73% to 23.21%, and 0.88% to 11.85%, respectively. In terms of prediction bias, ssGBLUP showed less bias estimates than GBLUP for the majority of traits related to meat quality traits, sensory characteristics, and fatty-acid composition of Duroc meat. In this study, ssGBLUP outperformed GBLUP in terms of prediction accuracy and bias for the majority of traits. Through selection and breeding, our findings could be used to promote meat production with improved nutritional value.The plant-specific TCP transcription factors are well-characterized in both monocots and dicots, which have been implicated in multiple aspects of plant biological processes such as leaf morphogenesis and senescence, lateral branching, flower development and hormone crosstalk. However, no systematic analysis of the petunia TCP gene family has been described. In this work, a total of 66 petunia TCP genes (32 PaTCP genes in P. axillaris and 34 PiTCP genes in P. inflata) were identified. Subsequently, a systematic analysis of 32 PaTCP genes was performed. The phylogenetic analysis combined with structural analysis clearly distinguished the 32 PaTCP proteins into two classes-class Ι and class Ⅱ. Class Ⅱ was further divided into two subclades, namely, the CIN-TCP subclade and the CYC/TB1 subclade. Plenty of cis-acting elements responsible for plant growth and development, phytohormone and/or stress responses were identified in the promoter of PaTCPs. Distinct spatial expression patterns were determined among PaTCP genes, suggesting that these genes may have diverse regulatory roles in plant growth development. Selleckchem PGE2 Furthermore, differential temporal expression patterns were observed between the large- and small-flowered petunia lines for most PaTCP genes, suggesting that these genes are likely to be related to petal development and/or petal size in petunia. The spatiotemporal expression profiles and promoter analysis of PaTCPs indicated that these genes play important roles in petunia diverse developmental processes that may work via multiple hormone pathways. Moreover, three PaTCP-YFP fusion proteins were detected in nuclei through subcellular localization analysis. This is the first comprehensive analysis of the petunia TCP gene family on a genome-wide scale, which provides the basis for further functional characterization of this gene family in petunia.Poor self-care behaviors can lead to an increase in the risk of adverse health outcomes among patients with heart failure. Although a number of studies have investigated the effectiveness of nurse-led self-care education, the evidence regarding the effects of nurse-led intervention in heart failure remains uncertain. This study aimed to evaluate evidence on the effectiveness of nurse-led heart failure self-care education on health outcomes in patients with heart failure. To identify studies testing nurse-led education designed to improve self-care among heart failure patients, comprehensive search methods were used between January 2000 and October 2019 to systematically search six electronic databases PubMed, CINAHL, Embase, Cochrane library, Web of Science, and SCOPUS. All the eligible study data elements were independently assessed and analyzed using random-effects meta-analysis methods. Of 612 studies, eight articles were eligible for this study. Nurse-led heart failure self-care education significantly reduced the risk of all-cause readmission (risk ratio (RR) = 0.