Story telling in bilingual Urdu-Cantonese ethnic minority children: Macrostructure and its relation to microstructural linguistic skills.

Introduction: The ability to produce a well-structured, coherent and informative narrative requires the integration of lexical and grammatical skills at different levels of complexity. Investigating how narrative macrostructure competence is predicted by microstructural linguistic skills is conceptually enlightening; yet there have been very few, if any, studies documenting the associations between macrostructure and microstructure in both languages of the same bilinguals. In this paper we attempt to address this research gap and report on the first empirical study of Urdu-Cantonese bilingual children's narrative abilities, bringing in data from a new language pair that is currently understudied.

Public perception of NHS general practice during the first six months of the COVID-19 pandemic in England.

In March 2020, the delivery of NHS general practice consultations was rapidly modified to mitigate the spread of COVID-19. Remote triage and consultations became the default, with adapted models for face-to-face contact if clinically required. This study aimed to gain insight into public perception of these adaptations.

Modifications to the delivery of NHS face-to-face general practice consultations during the COVID-19 pandemic in England.

In order to minimise transmission of SARS-CoV-2, the virus causing COVID-19, delivery of English general practice consultations was modified in March 2020 to enable the separation of patients with diagnosed or suspected COVID-19 from others. Remote triage and consultations became the default, with adapted face-to-face contact used only when clinically necessary. Face-to-face delivery modifications were decided locally and this study aimed to identify the different models used nationwide in spring/summer 2020.

CRAGE enables rapid activation of biosynthetic gene clusters in undomesticated bacteria.

It is generally believed that exchange of secondary metabolite biosynthetic gene clusters (BGCs) among closely related bacteria is an important driver of BGC evolution and diversification. Applying this idea may help researchers efficiently connect many BGCs to their products and characterize the products' roles in various environments. However, existing genetic tools support only a small fraction of these efforts.