Results 191 to 200 of about 100,282 (253)
Abstract Internal exclusion (isolation) is a behaviour management approach involving the temporary relocation of a pupil from their classroom to a designated isolation space as a consequence of disruptive behaviour. We present the first study of prevalence (i.e., what proportion of young people are isolated?), inequalities (i.e., who is more likely to ...
Emma Thornton +3 more
wiley +1 more source
Abstract This scoping review has explored the interventions and approaches used by teachers in mainstream (general education) primary schools (students aged 4–11) to support self‐regulation skill development in the classroom. The review followed the PRISMA Extension for Scoping Reviews (PRISMA‐ScR) guidelines for reporting and was guided by the Joanna ...
Kim Griffin +3 more
wiley +1 more source
Abstract This paper examines the gap in number skills between socioeconomically disadvantaged and non‐disadvantaged children in the first year of compulsory schooling in England. Past research mostly relies on statutory assessment data collected towards the end of the first year of school and does not show the attainment gap associated with ...
Martin Culliney, Joanne Robson
wiley +1 more source
In situ biomimetic materials for dentin repair
This review primarily discusses the role and clinical application of key biomimetic materials for in situ dentin repair, providing a feasible foundation for future material and performance optimization in situ dentin regeneration. Abstract Dental defects, ranking among the most prevalent diseases globally, pose a serious threat to human health, with ...
Jingjing Deng +3 more
wiley +1 more source
Marine silicon for biomedical sustainability
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han +3 more
wiley +1 more source
ABSTRACT One of the major subfields of chemical ecology is the study of toxins and how they mediate interactions between organisms. Toxins produced by harmful algae (phycotoxins) impact a wide variety of organisms connected to the marine food web. Significant research efforts have thus aimed to identify the ecological and evolutionary drivers behind ...
Milad Pourdanandeh, Erik Selander
wiley +1 more source
ABSTRACT Although recent literature on the circular economy (CE) has highlighted the important role of ecosystems, there is still limited understanding of the main themes that characterize circular ecosystems. This study addresses this gap by combining a comprehensive topic modeling analysis employing latent Dirichlet allocation (LDA) with a systematic
Aline Gabriela Ferrari +4 more
wiley +1 more source
ABSTRACT The blue economy has emerged as a key sector for linking sustainability and innovation, yet existing research has largely overlooked how firms operationalize these processes in practice. This study addresses that gap by asking: How do Portuguese blue economy firms embed sustainability‐oriented innovation (SOI) into their strategies, and what ...
Jennifer Nicole Elston +2 more
wiley +1 more source
ABSTRACT The agri‐food industry faces major sustainability challenges, requiring a shift in companies' approach. Circular economy principles offer a promising path by enhancing resource efficiency, reducing waste, and valorizing by‐products. However, the integration of sustainability and circularity practices remains limited, especially in developing ...
Maria Elena Latino +2 more
wiley +1 more source
Some of the next articles are maybe not open access.
Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
openaire +1 more source
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
openaire +1 more source

