Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Filipe Natalio"'
Autor:
Ofir Aharon Kuperman, Peterson deAndrade, Tanguy Terlier, Jacob Judas Kain Kirkensgaard, Robert A. Field, Filipe Natalio
Publikováno v:
Macromolecular Materials and Engineering, Vol 309, Iss 3, Pp n/a-n/a (2024)
Abstract Cellulose modification often employs chemical processes to tailor its properties and functionalities to fit the demands of a wide range of applications, maximizing its potential as a versatile and sustainable material. From both synthetic an
Externí odkaz:
https://doaj.org/article/eebc3a85eb2f471dae7999b911bb15d1
Autor:
Melina Shamshoum, Ofir Aharon Kuperman, Sapir Korman Shadmi, Maxim Itkin, Sergey Malitsky, Filipe Natalio
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Fluorescent glucose derivatives are valuable tools as glucose analogs in plant research to explore metabolic pathways, study enzyme activity, and investigate cellular processes related to glucose metabolism and sugar transport. They allow visualizati
Externí odkaz:
https://doaj.org/article/7137c0dba83743529c657de37ffb8321
Publikováno v:
Humanities & Social Sciences Communications, Vol 8, Iss 1, Pp 1-10 (2021)
Abstract Deep learning is a powerful tool for exploring large datasets and discovering new patterns. This work presents an account of a metric learning-based deep convolutional neural network (CNN) applied to an archaeological dataset. The proposed a
Externí odkaz:
https://doaj.org/article/9d943c62d5c046279d89872e62d1ab2c
Publikováno v:
ACS Omega, Vol 5, Iss 50, Pp 32490-32497 (2020)
Externí odkaz:
https://doaj.org/article/17958525243e4bab85571bfcbe717492
Publikováno v:
Marine Drugs, Vol 12, Iss 8, Pp 4659-4676 (2014)
Iron, as inorganic ion or as oxide, is widely used by biological systems in a myriad of biological functions (e.g., enzymatic, gene activation and/or regulation). In particular, marine organisms containing silica structures—diatoms and sponges—gr
Externí odkaz:
https://doaj.org/article/544e9e4077a940ce98749786e0bfe26d
Autor:
Filipe Natalio, Raquel Maria
Publikováno v:
Fibers, Vol 6, Iss 1, p 11 (2018)
Cotton is the leading fiber source in the textile industry and one of the world’s most important crops. Despite its economic interest, cotton culture exerts an enormous pressure on natural resources (land and water) and has a negative impact on the
Externí odkaz:
https://doaj.org/article/cf81f7253bb14f4cb1f2dfadb9c1ac51
Autor:
Marjan Zakerin, Antonin Novak, Masaya Toda, Yves Emery, Filipe Natalio, Hans-Jürgen Butt, Rüdiger Berger
Publikováno v:
Sensors, Vol 17, Iss 6, p 1191 (2017)
In this paper, we apply a digital holographic microscope (DHM) in conjunction with stroboscopic acquisition synchronization. Here, the temperature-dependent decrease of the first resonance frequency (S1(T)) and Young’s elastic modulus (E1(T)) of si
Externí odkaz:
https://doaj.org/article/9f8076ec75c34d0e819a9d4284448ff4
Autor:
Melina Shamshoum, Filipe Natalio
Publikováno v:
ChemBioChem.
Autor:
Nimrod Marom, Ignacio A. Lazagabaster, Roee Shafir, Filipe Natalio, Vera Eisenmann, Liora Kolska Horwitz
Publikováno v:
Journal of Quaternary Science. 37:612-638
The Middle Pleistocene archaeological record of the southern Levant has proven key to understanding human evolution and intercontinental faunal biogeography. Knowledge of archaeological sites of that period in the southern Levant is biased, with most
Publikováno v:
Humanities & Social Sciences Communications, Vol 8, Iss 1, Pp 1-10 (2021)
Deep learning is a powerful tool for exploring large datasets and discovering new patterns. This work presents an account of a metric learning-based deep convolutional neural network (CNN) applied to an archaeological dataset. The proposed account sp