Zobrazeno 1 - 10
of 8 977
pro vyhledávání: '"Cimini A."'
Autor:
Fessina, Massimiliano, Cimini, Giulio, Squartini, Tiziano, Astudillo-Estévez, Pablo, Thurner, Stefan, Garlaschelli, Diego
Production networks constitute the backbone of every economic system. They are inherently fragile as several recent crises clearly highlighted. Estimating the system-wide consequences of local disruptions (systemic risk) requires detailed information
Externí odkaz:
http://arxiv.org/abs/2408.02467
Autor:
Cimini, Matteo
Program logics are a powerful formal method in the context of program verification. Can we develop a counterpart of program logics in the context of language verification? This paper proposes language logics, which allow for statements of the form $\
Externí odkaz:
http://arxiv.org/abs/2408.01515
Nowadays human interactions largely take place on social networks, with online users' behavior often falling into a few general typologies or "social roles". Among these, opinion leaders are of crucial importance as they have the ability to spread an
Externí odkaz:
http://arxiv.org/abs/2403.05876
Autor:
Cimini, Beth A
As microscopy diversifies and becomes ever-more complex, the problem of quantification of microscopy images has emerged as a major roadblock for many researchers. All researchers must face certain challenges in turning microscopy images into answers,
Externí odkaz:
http://arxiv.org/abs/2403.04520
Autor:
Tsekenis, Georgios, Cimini, Giulio, Kalafatis, Marinos, Giacometti, Achille, Gili, Tommaso, Caldarelli, Guido
Publikováno v:
Scientific Reports 14:5266 (2024)
We define bipartite and monopartite relational networks of chemical elements and compounds using two different datasets of inorganic chemical and material compounds, as well as study their topology. We discover that the connectivity between elements
Externí odkaz:
http://arxiv.org/abs/2402.11774
Autor:
Weisbart, Erin, Kumar, Ankur, Arevalo, John, Carpenter, Anne E., Cimini, Beth A., Singh, Shantanu
Image-based or morphological profiling is a rapidly expanding field wherein cells are "profiled" by extracting hundreds to thousands of unbiased, quantitative features from images of cells that have been perturbed by genetic or chemical perturbations
Externí odkaz:
http://arxiv.org/abs/2402.02203
In early 2021, the stock prices of GameStop, AMC, Nokia, and BlackBerry experienced dramatic increases, triggered by short squeeze operations that have been largely attributed to Reddit's retail investors. These events showcased, for the first time,
Externí odkaz:
http://arxiv.org/abs/2401.14999
The quest for precision in parameter estimation is a fundamental task in different scientific areas. The relevance of this problem thus provided the motivation to develop methods for the application of quantum resources to estimation protocols. Withi
Externí odkaz:
http://arxiv.org/abs/2401.14900
Autor:
Rakic, Marianne, Wong, Hallee E., Ortiz, Jose Javier Gonzalez, Cimini, Beth, Guttag, John, Dalca, Adrian V.
Existing learning-based solutions to medical image segmentation have two important shortcomings. First, for most new segmentation task, a new model has to be trained or fine-tuned. This requires extensive resources and machine learning expertise, and
Externí odkaz:
http://arxiv.org/abs/2401.13650
Autor:
Bialy, Nikki, Alber, Frank, Andrews, Brenda, Angelo, Michael, Beliveau, Brian, Bintu, Lacramioara, Boettiger, Alistair, Boehm, Ulrike, Brown, Claire M., Maina, Mahmoud Bukar, Chambers, James J., Cimini, Beth A., Eliceiri, Kevin, Errington, Rachel, Faklaris, Orestis, Gaudreault, Nathalie, Germain, Ronald N., Goscinski, Wojtek, Grunwald, David, Halter, Michael, Hanein, Dorit, Hickey, John W., Lacoste, Judith, Laude, Alex, Lundberg, Emma, Ma, Jian, Malacrida, Leonel, Moore, Josh, Nelson, Glyn, Neumann, Elizabeth Kathleen, Nitschke, Roland, Onami, Shuichi, Pimentel, Jaime A., Plant, Anne L., Radtke, Andrea J., Sabata, Bikash, Schapiro, Denis, Schöneberg, Johannes, Spraggins, Jeffrey M., Sudar, Damir, Vierdag, Wouter-Michiel Adrien Maria, Volkmann, Niels, Wählby, Carolina, Siyuan, Wang, Yaniv, Ziv, Strambio-De-Castillia, Caterina
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health.
Externí odkaz:
http://arxiv.org/abs/2401.13022