Zobrazeno 1 - 10
of 567
pro vyhledávání: '"LUCAS Simon"'
Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu ()
Autor:
Renan Passos Freire, Jorge Enrique Hernandez-Gonzalez, Eliana Rosa Lima, Miriam Fussae Suzuki, João Ezequiel de Oliveira, Lucas Simon Torati, Paolo Bartolini, Carlos Roberto Jorge Soares
Publikováno v:
Bioinformatics and Biology Insights, Vol 17 (2023)
Arapaima gigas , known as Pirarucu in Brazil, is one of the largest freshwater fish in the world. Some individuals could reach 3 m in length and weight up to 200 kg. Due to extinction risks and its economic value, the species has been a focus for pre
Externí odkaz:
https://doaj.org/article/c0467bd221a845458086c8209acc16fa
Autor:
Eduardo Sousa Varela, Michaël Bekaert, Luciana Nakaghi Ganeco-Kirschnik, Lucas Simon Torati, Luciana Shiotsuki, Fernanda Loureiro de Almeida, Luciana Cristine Vasques Villela, Fabrício Pereira Rezende, Aurisan da Silva Barroso, Luiz Eduardo Lima de Freitas, John Bernard Taggart, Herve Migaud
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background Tambaqui (Colossoma macropomum, Cuvier, 1818) is the most economically important native freshwater fish species in Brazil. It can reach a total length of over 1 m and a weight of over 40 kg. The species displays a clear sex dimorp
Externí odkaz:
https://doaj.org/article/c18907002a774ade8ad21b925caf8074
Autor:
Meng, Fandi, Lucas, Simon
We present a game framework tailored for deduction games, enabling structured analysis from the perspective of Shannon entropy variations. Additionally, we introduce a new forward search algorithm, Information Set Entropy Search (ISES), which effecti
Externí odkaz:
http://arxiv.org/abs/2407.21178
Autor:
Eliana Rosa Lima, Renan Passos Freire, Miriam Fussae Suzuki, João Ezequiel Oliveira, Vanessa Luna Yosidaki, Cibele Nunes Peroni, Thaís Sevilhano, Moisés Zorzeto, Lucas Simon Torati, Carlos Roberto Jorge Soares, Igor Daniel de Miranda Lima, Thales Kronenberger, Vinicius Gonçalves Maltarollo, Paolo Bartolini
Publikováno v:
Biomolecules, Vol 13, Iss 1, p 158 (2023)
In a previous work, the common gonadotrophic hormone α-subunit (ag-GTHα), the ag-FSH β- and ag-LH β-subunit cDNAs, were isolated and characterized by our research group from A. gigas pituitaries, while a preliminary synthesis of ag-FSH was also c
Externí odkaz:
https://doaj.org/article/c636eb1896ea4568b3faaabff5818cc1
Publikováno v:
智能科学与技术学报, Vol 1, Pp 219-227 (2019)
Statistical forward planning (SFP) algorithms use a simulation model (also called forward model) to adaptively search for effective sequences of actions.They offer a simple and general way to provide rapidly adaptive AI controllers for a variety of g
Externí odkaz:
https://doaj.org/article/2c02d59c661d4073b1c8be4c99ffc211
Publikováno v:
智能科学与技术学报, Vol 1, Iss 3, Pp 219-227 (2019)
统计前向规划（statistical forward planning，SFP）算法使用仿真模型（也称为前向模型）自适应地搜索有效的动作序列，此类算法提供了一种简单通用的方法，为各种游戏提供快速自适应的 AI 控
Externí odkaz:
https://doaj.org/article/6cd8b5a036d849cab5837f6530293bee
Autor:
Lucas Simon Torati, John Bernard Taggart, Eduardo Sousa Varela, Juliana Araripe, Stefanie Wehner, Hervé Migaud
Publikováno v:
BMC Genetics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background Arapaima gigas (Schinz, 1822) is the largest freshwater scaled fish in the world, and an emerging species for tropical aquaculture development. Conservation of the species, and the expansion of aquaculture requires the development
Externí odkaz:
https://doaj.org/article/e56986efd5ef4761af0cc194225e23e2
Deep Reinforcement Learning (DRL) agents frequently face challenges in adapting to tasks outside their training distribution, including issues with over-fitting, catastrophic forgetting and sample inefficiency. Although the application of adapters ha
Externí odkaz:
http://arxiv.org/abs/2311.11537
Estimation of value in policy gradient methods is a fundamental problem. Generalized Advantage Estimation (GAE) is an exponentially-weighted estimator of an advantage function similar to $\lambda$-return. It substantially reduces the variance of poli
Externí odkaz:
http://arxiv.org/abs/2301.10920
PPO (Proximal Policy Optimization) is a state-of-the-art policy gradient algorithm that has been successfully applied to complex computer games such as Dota 2 and Honor of Kings. In these environments, an agent makes compound actions consisting of mu
Externí odkaz:
http://arxiv.org/abs/2301.10919