Results 61 to 70 of about 2,789 (203)

Through Parents' Eyes: Perspectives on Child Development and Family Experience During ESDM Intervention

Autism Research, Volume 19, Issue 9, September 2026.
ABSTRACT Early intensive intervention for autistic children aims to support developmental progress in social and communication domains. Although outcomes are typically assessed using standardized measures of child development, parental perspectives during early intervention remain largely understudied.
Kenza Latrèche, Fiona Journal, Michel Godel, Martina Franchini, Nada Kojovic, David Cimasoni, Marcin Czajkowski, Lucie Delieutraz, Chloé Laubu, Marie Schaer   +9 more
wiley   +1 more source

Identifying and measuring the common elements of naturalistic developmental behavioral interventions for autism spectrum disorder: Development of the NDBI-Fi [PDF]

, 2020
LAY ABSTRACT: Naturalistic developmental behavioral interventions for young children with autism spectrum disorder share key elements. However, the extent of similarity between programs within this class of evidence-based interventions is unknown.
Brian, Jessica, Gengoux, Grace W, Frost, Kyle M, Rieth, Sarah R, Hardan, Antonio, Ingersoll, Brooke, Stahmer, Aubyn   +6 more
core   +1 more source

Assessment of land surface temperature and land cover variability during winter: A spatio-temporal analysis of Pabna municipality in Bangladesh

Environmental Challenges, 2021
Monitoring the change of land use and land cover (LULC) and land surface temperature (LST) at different spatio-temporal scales is vital for evaluating landscape dynamics and thermal environment.
Farhan Asaf Abir, Ritu Saha
doaj   +1 more source

A hierarchical unmanned aerial system–light detection and ranging–satellite learning framework for scaling heterogeneous vegetation cover mapping in rangelands

Grassland Research, Volume 5, Issue 3, Page 245-269, September 2026.
This study shows how drones, light detection and ranging (LiDAR), and satellites can be combined to map vegetation in rangelands more effectively. Drone imagery captures fine‐scale plant details, LiDAR adds information about vegetation structure and height, and satellite data allow the mapping approach to be expanded across larger areas.
Nishat Shermin, Narcisa G. Pricope, Padmanava Dash, Javier M. Osorio Leyton   +3 more
wiley   +1 more source

An Explainable Machine Learning Framework for Predicting West Nile Virus and Uncovering Key Transmission Drivers

GeoHealth, Volume 10, Issue 9, September 2026.
Abstract This study introduces Disease Vector Intelligence (DVI), an explainable Machine Learning (ML) framework developed within the EYWA (EarlY WArning system for mosquito‐borne diseases) ecosystem. DVI integrates big Earth Observation (EO), socioeconomic, and estimated mosquito abundance data to predict the presence or absence of West Nile Virus ...
Dimitrios Sainidis, Konstantinos Tsaprailis, Charalampos Kontoes   +2 more
wiley   +1 more source

Caracterização temporal do município de Campinas usando NDVI, NDBI e temperatura da superfície. [PDF]

, 2012
Este estudo tem por objetivo investigar, com o apoio de técnicas de sensoriamento remoto e com base na organização das UTBs (Unidades Territoriais Básicas) do Município de Campinas, as relações entre a temperatura da superfície (TS), o NDVI (índice da ...
JESUS, N. DE, FURTADO, A. L. dos S., SAIRAIVA, L. P., CONCEIÇÃO, A. F.   +3 more
core  

Coal Mining as a Driver of Land Use and Land Cover Change and Degradation: A Case in Moatize City, Mozambique

Land Degradation &Development, Volume 37, Issue 13, Page 9126-9143, 15 August 2026.
ABSTRACT Coal remains a major global energy source despite ongoing environmental controversies, particularly, regarding climate change and landscape transformation. This study investigates the spatiotemporal dynamics of land use and land cover (LULC) in the Moatize Coal Basin (MCB), Mozambique, between 1990 and 2024, with a specific focus on land ...
Ivan Latinho Naite, Basílio Fernandez Fernandez, Gilney Figueira Zebende   +2 more
wiley   +1 more source

Observation of spin splitting in the surface electronic structure of antiferromagnet NdBi

Spin splitting in electronic band structures via antiferromagnetic orders is a new route to control spin-polarized carriers that is available for spintronics applications. Here, we investigated the spin degree of freedom in the electronic band structures of the antiferromagnet NdBi using laser-based spin- and angle-resolved photoemission spectroscopy ...
Yamamoto, Rikako, Motoyama, Takeru, Iwata, Takuma, Kosa, Towa, Nishioka, Yukimi, Ideura, Kazumasa, Arita, Masashi, Miyamoto, Koji, Okuda, Taichi, Kimura, Akio, Yamada, Takemi, Yanagi, Yuki, Onimaru, Takahiro, Kuroda, Kenta   +13 more
openaire   +2 more sources

Partial Least Squares Regression Models for Outdoor Air Pollutant Forecasting

Journal of Chemometrics, Volume 40, Issue 7, July 2026.
ABSTRACT Atmospheric pollution presents a significant global health burden, yet the establishment and maintenance of extensive ‘gold standard’ monitoring networks remain prohibitively expensive. We explore the potential of machine learning to create virtual monitoring sites for predicting and reconstructing urban air pollutant concentrations, offering ...
Beatriz Galindo‐Prieto, Alexandra Papanicolaou, Ian S. Mudway   +2 more
wiley   +1 more source

Correlation Between LST, NDVI and NDBI with Reference to Bengaluru Urban, Karnataka

International Journal For Multidisciplinary Research
Urbanization refers to growth in the physical area of the urban settlements as a result of the movement of population from rural to urban areas. Bengaluru is one of the fastest growing metropolitan cities in India, which showed a massive increase in population between 2011 and 2021 (48% increase).
SUNITHA N, RAGHAVENDRA M, NACHIKETH S, PRAKASH L   +3 more
openaire   +1 more source