Zobrazeno 1 - 10
of 5 358
pro vyhledávání: '"Baldo P"'
Autor:
Nagaya, Narumi, Alexiu, Alexandra, Perkinson, Collin F., Nix, Oliver M., Bawendi, Moungi G., Tisdale, William A., Van Voorhis, Troy, Baldo, Marc A.
Singlet exciton fission has the potential to increase the efficiency of crystalline silicon solar cells beyond the conventional single junction limit. Perhaps the largest obstacle to achieving this enhancement is uncertainty about energy coupling mec
Externí odkaz:
http://arxiv.org/abs/2410.03881
Autor:
Baldo, Heitor
In this work, we developed new mathematical methods for analyzing network topology and applied these methods to the analysis of brain networks. More specifically, we rigorously developed quantitative methods based on complexes constructed from digrap
Externí odkaz:
http://arxiv.org/abs/2409.09862
Autor:
Nagaya, Narumi, Lee, Kangmin, Perkinson, Collin F., Li, Aaron, Lee, Youri, Zhong, Xinjue, Lee, Sujin, Weisburn, Leah P., Baikie, Tomi K., Bawendi, Moungi G., Van Voorhis, Troy, Tisdale, William A., Kahn, Antoine, Seo, Kwanyong, Baldo, Marc A.
While silicon solar cells dominate global photovoltaic energy production, their continued improvement is hindered by the single junction limit. One potential solution is to use molecular singlet exciton fission to generate two electrons from each abs
Externí odkaz:
http://arxiv.org/abs/2407.21093
Autor:
Koh, Dooyong, Wang, Qiuyuan, McGoldrick, Brooke C., Chou, Chung-Tao, Liu, Luqiao, Baldo, Marc A.
Physical devices exhibiting stochastic functions with low energy consumption and high device density have the potential to enable complex probability-based computing algorithms, accelerate machine learning tasks, and enhance hardware security. Recent
Externí odkaz:
http://arxiv.org/abs/2407.08665
Autor:
Marin, Richard, Baldo III, Carlos
In this study, we explore how quantum pathfinding algorithm called Gaussian Amplitude Amplification (GAA) can be used to solve the DNA sequencing problem. To do this, sequencing by hybridization was assumed wherein short fragments of the nucleic acid
Externí odkaz:
http://arxiv.org/abs/2310.20466
Autor:
Chiara de Waure, Elisabetta Alti, Vincenzo Baldo, Paolo Bonanni, Michele Conversano, Alberto Fedele, Giovanni Gabutti, Roberto Ieraci, Francesco Landi, Raffaele Landolfi, Andrea Orsi, Caterina Rizzo, Alessandro Rossi, Alberto Villani, Francesco Vitale, Alexander Domnich
Publikováno v:
Expert Review of Vaccines, Vol 23, Iss 1, Pp 636-644 (2024)
Background Protection provided by seasonal influenza vaccination (SIV) may be measured against numerous outcomes, and their heterogeneity may hamper decision-making. The aim of this study was to explore outcomes used for estimation of SIV efficacy/ef
Externí odkaz:
https://doaj.org/article/af29b931bae5401585e11c274e9da787
Autor:
Marco Rosichini, Giada Del Baldo, Carmen Dolores De Luca, Francesca Benini, Shirley Genah, Maria Vinci, Alfredo Cerimele, Marianna Coccetti, Sara Flamini, Rita Carsetti, Antonella Cacchione, Andrea Carai, Angela Mastronuzzi, Franco Locatelli, Enrico Velardi
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Optimal immune function is crucial in preventing cancer development and growth and for the success of anti-cancer therapies. Here, we characterized the peripheral immunological status of 83 steroids-naïve pediatric patients with central ner
Externí odkaz:
https://doaj.org/article/a87a4d109e1345209ffccfb9ffafd1a7
To fight climate change, new "green" technology are emerging, most of them using electricity as a power source. Among the solutions, Electric Vehicles (EVs) represent a central asset in the future transport system. EVs require a complex infrastructur
Externí odkaz:
http://arxiv.org/abs/2309.06077
Air Quality Monitoring and Forecasting has been a popular research topic in recent years. Recently, data-driven approaches for air quality forecasting have garnered significant attention, owing to the availability of well-established data collection
Externí odkaz:
http://arxiv.org/abs/2307.15916
Air quality forecasting has garnered significant attention recently, with data-driven models taking center stage due to advancements in machine learning and deep learning models. However, researchers face challenges with complex data acquisition and
Externí odkaz:
http://arxiv.org/abs/2306.13948