University of Lincoln

About: University of Lincoln is a education organization based out in Lincoln, Lincolnshire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 2341 authors who have published 7025 publications receiving 124797 citations.

Choosing a safe place to cross the road: the relationship between attention and identification of safe and dangerous road‐crossing sites

Abstract: Background Safe pedestrian behaviour relies on cognitive skills, including the ability to focus attention on the traffic environment and ignore irrelevant stimuli. An important pedestrian skill that young children find difficult is the ability to find a safe place to cross the road. The aim of this study was to examine the relationship between attention and children’s ability to identify safe and dangerous road-crossing sites. Methods Participants were 95 children (aged 6.5years, 8.6years and 10.4years) and 33 adults. Ability to identify safe and dangerous road-crossing sites was assessed using computer presentations of five safe and five dangerous sites. Attention was assessed using the Stroop test for resistance to interference. Correlations were calculated between Stroop test measures and pedestrian task measures (accuracy and speed of identifying safe and dangerous road-crossing sites) for each age group separately. Results The ability to identify safe and dangerous road-crossing sites and the ability to resist interference increased with age. Significant correlations were observed between identification of safe and dangerous road-crossing sites and performance on the Stroop test for children but not for adults. Discussion The results indicated that attention is required for identifying road-crossing sites quickly and accurately, especially for younger children. Road safety training programmes for children may need to take into account the development of children’s attention.

Haploinsufficiency of the NOTCH1 Receptor as a Cause of Adams–Oliver Syndrome With Variable Cardiac Anomalies

Abstract: Background Adams-Oliver syndrome (AOS) is a rare disorder characterized by congenital limb defects and scalp cutis aplasia. In a proportion of cases, notable cardiac involvement is also apparent. Despite recent advances in the understanding of the genetic basis of AOS, for the majority of affected subjects, the underlying molecular defect remains unresolved. This study aimed to identify novel genetic determinants of AOS. Methods and results Whole-exome sequencing was performed for 12 probands, each with a clinical diagnosis of AOS. Analyses led to the identification of novel heterozygous truncating NOTCH1 mutations (c.1649dupA and c.6049_6050delTC) in 2 kindreds in which AOS was segregating as an autosomal dominant trait. Screening a cohort of 52 unrelated AOS subjects, we detected 8 additional unique NOTCH1 mutations, including 3 de novo amino acid substitutions, all within the ligand-binding domain. Congenital heart anomalies were noted in 47% (8/17) of NOTCH1-positive probands and affected family members. In leukocyte-derived RNA from subjects harboring NOTCH1 extracellular domain mutations, we observed significant reduction of NOTCH1 expression, suggesting instability and degradation of mutant mRNA transcripts by the cellular machinery. Transient transfection of mutagenized NOTCH1 missense constructs also revealed significant reduction in gene expression. Mutant NOTCH1 expression was associated with downregulation of the Notch target genes HEY1 and HES1, indicating that NOTCH1-related AOS arises through dysregulation of the Notch signaling pathway. Conclusions These findings highlight a key role for NOTCH1 across a range of developmental anomalies that include cardiac defects and implicate NOTCH1 haploinsufficiency as a likely molecular mechanism for this group of disorders.

Parents' beliefs about appropriate infant size, growth and feeding behaviour: implications for the prevention of childhood obesity

Abstract: A number of risk factors are associated with the development of childhood obesity which can be identified during infancy. These include infant feeding practices, parental response to infant temperament and parental perception of infant growth and appetite. Parental beliefs and understanding are crucial determinants of infant feeding behaviour; therefore any intervention would need to take account of their views. This study aimed to explore UK parents' beliefs concerning their infant's size, growth and feeding behaviour and parental receptiveness to early intervention aimed at reducing the risk of childhood obesity. Six focus groups were undertaken in a range of different demographic localities, with parents of infants less than one year of age. The focus groups were audio-recorded, transcribed verbatim and thematic analysis applied using an interpretative, inductive approach. 38 parents (n = 36 female, n = 2 male), age range 19-45 years (mean 30.1 years, SD 6.28) participated in the focus groups. 12/38 were overweight (BMI 25-29.99) and 8/38 obese (BMI >30). Five main themes were identified. These were a) parental concern about breast milk, infant contentment and growth; b) the belief that the main cause of infant distress is hunger is widespread and drives inappropriate feeding; c) rationalisation for infants' larger size; d) parental uncertainty about identifying and managing infants at risk of obesity and e) intentions and behaviour in relation to a healthy lifestyle. There are a number of barriers to early intervention with parents of infants at risk of developing obesity. Parents are receptive to prevention prior to weaning and need better support with best practice in infant feeding. In particular, this should focus on helping them understand the physiology of breast feeding, how to differentiate between infant distress caused by hunger and other causes and the timing of weaning. Some parents also need guidance about how to recognize and prepare healthy foods and facilitate physical activity for their infants.

Localization of mobile robots with omnidirectional vision using particle filter and iterative SIFT

Abstract: The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially when dealing with ...