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Cornelia de Lange syndrome (CdLS) is a congenital disorder characterized by distinctive facial features, growth retardation, limb abnormalities, intellectual disability, and behavioral problems. Cornelia de Lange syndrome is associated with abnormalities on chromosomes 5, 10 and X. Heterozygous point mutations in three genes (NIPBL, SMC3 and SMC1A), are responsible for approximately 50-60% of CdLS cases. CdLS is characterized by autistic features, notably excessive repetitive behaviors and expressive language deficits. The prevalence of autism spectrum disorder (ASD) symptomatology is comparatively high in CdLS. However, the profile and developmental trajectories of these ASD characteristics are potentially different to those observed in individuals with idiopathic ASD. A significantly higher prevalence of self-injury are evident in CdLS. Self-injury was associated with repetitive and impulsive behavior. This study describes the behavioral phenotype of four children with Cornelia de Lange syndrome and ASDs and rehabilitative intervention that must be implemented.

Childcare is an essential part of early life environment that has a significant influence on lifelong physical and mental health. This study aimed to examine the relationship between development, growth and frequency of illness in different types of care.

This cross-sectional study recruited 177 children aged 30–36 months and their caregivers. Of these 66 were being cared for at home and 111 were attending out-of-home day-care facilities. An interview form, growth measurement and the Denver Developmental Screening Test II were collected. The association between child developmental, growth and illness variables was analyzed with Chi-square, Fisher's exact and Mann–Whitney U tests.

This study found that the development and growth results did not show statistically significant differences between the home-care and day-care groups. The number of minor illnesses was significantly lower in home-care children than in day-care children (OR = 0.33, 95% CI = 0.15-0.72).

This study indicated that the risk of infection is increased in the children attending day care. Provision of a healthy and safe childcare environment needs to be an essential health promotion strategy to improve family and child well-being.

As the number of women's participation in the labor market has increased rapidly over the past decades, so did the number of children in nonparental care. The study findings reflect that the development of a day-care center for children was unclear, whereas the risk of infection was increased. Therefore, provision of a healthy and safe childcare environment needs to be an essential health promotion strategy to improve family and child well-being.

This exploratory study aims to discover the different forms of challenges encountered by school stakeholders, including students, teachers, parents and management due to the coronavirus disease 2019 (COVID-19) pandemic.

Qualitative methodology was deployed for the study. A purposive sampling technique was used to select the respondents for a semi-structured interview. Data were examined using interpretative phenomenological analysis (IPA).

It was found that each stakeholder faced four different challenges: mental distress, physical immobility, financial crunches and technological concerns. Findings suggest that teachers are experiencing higher financial, technological and physical challenges as compared to other stakeholders followed by parents.

This paper discusses the major challenges faced by each stakeholder along with the opportunities. These findings will be useful for educationists, regulatory authorities, policymakers and management of educational institutions in developing countries to revisit their policy frameworks to develop new strategies and processes for the smooth implementation of remote learning during a period of uncertainty.

This paper examines the relationship between transport connectivity and regional economic development in China. It develops measurements appropriate for transport connectivity based on a set of evaluation models. This model is used to analyze the logistic connectivity of China’s 31 provinces by focusing on 11 variables, including some new factors (Density of road network, Density of railway network, Number of Internet Users) not used in previous studies, over the 13-year period from 2002 to 2014. Using panel data regression analysis, the empirical results show a statistically significant and positive impact of transport connectivity (factors like Density of road network, Density of railway network and Number of Internet Users) on economic development in China. In particular, the Number of internet users is a key factor reflecting information connectivity in all the variables. Comparative analysis regarding economic development is conducted to benchmark between coastal provinces and interior provinces. Like most previous research, this study yields the same finding of higher impact of transport connectivity on economic development in eastern provinces than in western provinces. This study suggests that decentralized decision-making will be significantly more efficient for analyzing regional infrastructure development. It also shows that the influence of transport connectivity on economic development is dependent on a certain developmental stage. This suggests that an economic region should adopt different development strategies for transport connectivity during different stages of development.

This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children.

This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model.

An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62.

This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice.

Investment in graduate education is costly in various ways so completion success is a big concern for universities and stakeholders. Largely the graduate educational landscape moves along a commonly structured path from acceptance to graduation. Despite many having successfully attained the award, the research literacies that signal doctoral achievement remain obscure and scholars continue to struggle with developing clear and tangible measures for the competencies that represent attainment of the degree. Feedback gathered from faculty at a large research institution through a series of semi-structured interviews illustrated the challenge departments have to effectively communicate what it takes to get through graduate education. As a result students still have a difficult time understanding the complexity of graduate training. This study views graduate education from the lens of intellectual journeys, as opposed to the research lifecycle, as a way of uncovering distinct disciplinary discourse practices and offering libraries critical points to align services using this framework.

The methodology is highly flexible and adaptable to many contexts besides graduate education. This study takes a different approach from previous studies in its framing of discussions with academic faculty, using journey maps, to focus on the intellectual journeys of graduate students. Faculty from different disciplines participated in one-on-one, hour-long interviews. Discussions were audio recorded, transcribed, and then coded into NVivo. Iterative review on the data continued until themes emerged. The data gathered were used to compile a detailed map of the processes and requirements that make up graduate education. This approach to the data helped to identify what faculty perceive as the greatest struggles for graduate students and provide evidence of the key places within the intellectual journeys of graduate students.

This paper provides a discussion of graduate student personas revealed through intellectual journeys, assesses the issues students encounter, shares critical time points and key places within these intellectual journeys where significant development occur, and suggests how libraries can and should connect with graduate committee members to establish missing support structures. Practical suggestions for library support are given for the areas where students struggle most. These critical services can be aligned to key developmental phases that will not only positively impact the time to completion but also retention.

First, the methodology discussed is highly flexible and adaptable to many contexts besides graduate education. Second, librarians adopting this methodology can generate their own editable journey maps not only to offer the most critical services but these tools also double as visual communication and negotiation tools for graduate students and their mentors during graduate training. Third, previous research has suggested that the most instrumental factor for graduate students completing their degree was the concept of forward progress. Framing the graduate experience and orienting library graduate support through the lens of disciplinary intellectual journeys achieves an action-oriented approach that supplements and addresses structural inequities by providing consequential support at meaningful points in a student’s journey thus allowing students to make forward progress and ultimately lead to faster completion rates.