Results 61 to 70 of about 3,128,761 (236)
Geo-parsing and analysis of road traffic crash incidents for data-driven emergency response planning
Road traffic crashes (RTCs) are a major public health concern worldwide, particularly in Nigeria, where road transport is the most common mode of transportation.
Patricia Ojonoka Idakwo +3 more
doaj +1 more source
Semi-Supervised Named Entity Recognition:\ud Learning to Recognize 100 Entity Types with Little Supervision\ud [PDF]
Named Entity Recognition (NER) aims to extract and to classify rigid designators in text such as proper names, biological species, and temporal expressions. There has been growing interest in this field of research since the early 1990s.
Nadeau, David
core
Abstract This article presents findings from an Australian study investigating the practices of middle leaders responsible for facilitating school development. Despite middle leaders being increasingly recognised as essential in the development of teaching and learning in schools, middle leadership remains under‐researched and comparatively overlooked ...
Peter Grootenboer +3 more
wiley +1 more source
Abstract In this paper, we explore how neurodivergent ways of being in early education are often gendered. The intersectionalities of gender and neurodivergence often lead to fixed expectations that perpetuate binary interpretations, pathologisations, missed diagnoses and a lack of curated support.
Ruth Churchill Dower, Hannah Hogarth
wiley +1 more source
Abstract Effective early career support is associated with a variety of professional and personal benefits for teachers and their schools. However, research indicates that the contextual features of schools, such as their size and geographic location, influence the support that new teachers receive.
Ellen Turner +8 more
wiley +1 more source
Integrating social media and deep learning for real-time urban waterlogging monitoring
Study region: Swat district, Khyber Pakhtunkhwa (KPK) Province, Pakistan. Study focus: With the rise of social-media data, there is an increasing need to promptly and precisely identify content related to disasters, such as urban waterlogging.
Muhammad Waseem Boota +10 more
doaj +1 more source
Semantic Textual Similarity (also known as Semantic Short-text Similarity) is a research problem that aims to calculate the similarity among text units (phrases, sentences, paragraphs or texts) focusing on the semantic content. The importance of Semantic
Hennig, Sebastian +1 more
core +1 more source
A Systemic Model for Understanding Business Interactions With Biodiversity and Ecosystems
ABSTRACT Biodiversity loss and ecosystem degradation represent critical threats to human well‐being and economic resilience, challenging businesses to understand and manage their interdependence with natural systems. This study develops a systemic framework—the BioModel—that elucidates the reciprocal relationship between businesses, biodiversity, and ...
Lino Cinquini +2 more
wiley +1 more source
Elaborating the Motivations and Attitudes Driving Interest in Voluntary Biodiversity Credits
ABSTRACT Global biodiversity loss has prompted the search for new sources of conservation finance, such as voluntary biodiversity credits (VBCs). However, despite optimistic market projections, current uptake of VBCs is limited. Adopting an interpretive approach, we analyse 21 semistructured interviews with early market actors (buyers, sellers ...
Gamze Yakar‐Pritchard +5 more
wiley +1 more source
Urban flood identification with simulation validation based on social media big data
The insufficient reliability of conventional monitoring methods under extreme rainfall conditions has resulted in an urgent need for new monitoring methods This study proposes an urban flood identification method that uses crawler technology ...
Kehan ZHANG +5 more
doaj +1 more source

