Results 31 to 40 of about 332 (53)

How do irrigation district managers deal with climate change risks? Considering experiences, tipping points, and risk normalization in northern Italy [PDF]

open access: yes
Agriculture is one of the most sensitive and vulnerable activities to climate variations; climate change impacts crop yield, soil processes, water availability, and pest dynamic. Farmers are on the front lines of climate change-induced stressors, shifts,
Andrea Castelletti   +2 more
core   +1 more source

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots

open access: yes, 2023
High-quality datasets can speed up breakthroughs and reveal potential developing directions in SLAM research. To support the research on corner cases of visual SLAM systems, this paper presents Ground-Challenge: a challenging dataset comprising 36 ...
Liang, Conghui   +3 more
core  

MUZZA IV - MUZZA LAB (SUZG FKIT) - organizacija

open access: yes
IV MUZZA tjedan znanosti održao se od četvrtka, 10. travnja 2025. do nedjelje, 13. travnja 2025., od 10 do 19 sati u Zgradi rektorata Sveučilišta u Zagrebu (SEECEL). Na događanju su sudjelovale brojne znanstvene institucije, udruge i neprofitne organizacije, među kojima je, već treću godinu zaredom, partner Sveučilište u Zagrebu Fakultet kemijskog ...
Vuković Domanovac, Marija   +2 more
openaire  

In vitro assessment of the oncogenic potential of novel MTC-associated germline RET mutations [PDF]

open access: yes, 2013
Tese de mestrado. Biologia (Biologia Evolutiva e do Desenvolvimento). Universidade de Lisboa, Faculdade de Ciências, 2013Thyroid carcinoma is the most frequent endocrine malignancy.
Carmo, Maria Francisca Ferreira, 1989-
core  

The immune network in thyroid cancer. [PDF]

open access: yesOncoimmunology, 2016
Galdiero MR, Varricchi G, Marone G.
europepmc   +1 more source

Microchimerism:covert genetics? [PDF]

open access: yes, 2010
Berendine, VZ   +3 more
core  

ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data

open access: yes
We seek to enable classic processing of continuous ultra-sparse spatiotemporal data generated by event-based sensors with dense machine learning models.
Bouvier, Maxence   +4 more
core  

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