Results 211 to 220 of about 675,627 (274)

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

Pest Management Science, EarlyView.
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei, Maria C. Boukouvala, Gianluca Manduca, Nickolas G. Kavallieratos, Filippo Maggi, Marta Ferrati, Eleonora Spinozzi, Cesare Stefanini, Antonio DeSimone, Donato Romano   +9 more
wiley   +1 more source

Unmasking Early Cardiac Fibrosis in Sarcoidosis: The Role of Plasma Aldosterone and Cardiac MRI. [PDF]

J Clin Med
Giallafos E, Oikonomou E, Lama N, Katsanos S, Kolilekas L, Markozanes E, Pantoleon V, Zisimos K, Katsarou O, Theofilis P, Seitaridi G, Ilias I, Stratakos G, Kelekis N, Manali ED, Papiris S, Marinos G, Tsioufis K, Siasos G.   +18 more
europepmc   +1 more source

Image: Athens Archaeological Museum (Photo by MC) [PDF]

, 2012
Author, No
core   +2 more sources

Medicane characteristics from high‐resolution satellite radar observations

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study uses high‐resolution observations from satellite synthetic aperture radar (SAR) to reveal that medicanes, cyclones with tropical features in the Mediterranean basin, have dynamical characteristics with attributes comparable with those of tropical cyclones of similar intensities, but smaller outer sizes and Rossby numbers.
Arthur Avenas, Mario Marcello Miglietta, Alexis Mouche, Stavros Dafis, Aurélien Colin, Romain Husson, Emmanouil Flaounas   +6 more
wiley   +1 more source

A Deep Learning Approach for Classifying Benign, Malignant, and Borderline Ovarian Tumors Using Convolutional Neural Networks and Generative Adversarial Networks. [PDF]

Med Sci (Basel)
Giourga M, Petropoulos I, Stavros S, Potiris A, Goula K, Moustakli E, Papahliou AM, Daskalaki MA, Segou M, Rodolakis A, Daskalakis G, Domali E.   +11 more
europepmc   +1 more source

The Epistemic Generativity of Using a Model of a Big Idea

Science Education, EarlyView.
ABSTRACT Science instruction should involve learners in generating and warranting ideas, what we call epistemic generation. In modeling instruction, epistemic generation should be achieved by coordinating a model structure with the experienced world in reciprocal directions denoted as developing models and using models. In the former, a model structure
Jonathan T. Shemwell, Daniel K. Capps
wiley   +1 more source

Skin Biopsies in Practice: Insights from a Pediatric Dermatopathology Study in a Greek Tertiary Center. [PDF]

Cureus
Alexopoulos A, Ntokos D, Nasi L, Kontara L, Sarafis P, Stefanaki C, Kanaka-Gantenbein C, Stefanaki K.   +7 more
europepmc   +1 more source

Coxsackie-Athens Central School District and Coxsackie-Athens Administrators Association, SAANYS (2008) [PDF]

, 2008

core   +1 more source

Adaptive, but Equitable? Exploring the Impact of Machine Learning‐Based Adaptive Support on Educational Debts in Undergraduate Chemistry

Science Education, EarlyView.
ABSTRACT Students' diverse levels of knowledge and competence—shaped by individual interests and educational debts, including structural, systemic, and institutional barriers—create substantial cognitive heterogeneity in instructional settings. Adequately addressing this heterogeneity is challenging.
Paul P. Martin, Marcus Kubsch, Brandon J. Yik, Benjamin T. Burlingham, Nicole Graulich   +4 more
wiley   +1 more source