Results 1 to 10 of about 814,413 (282)
Differences in Brain Network Topology Based on Alcohol Use History in Adolescents
Approximately 6 million youth aged 12 to 20 consume alcohol monthly in the United States. The effect of alcohol consumption in adolescence on behavior and cognition is heavily researched; however, little is known about how alcohol consumption in ...
Haley A. Kirse +6 more
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On the challenges of predicting microscopic dynamics of online conversations
To what extent can we predict the structure of online conversation trees? We present a generative model to predict the size and evolution of threaded conversations on social media by combining machine learning algorithms.
John Bollenbacher +5 more
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A COVID-19 vaccination model for Aotearoa New Zealand
We develop a mathematical model to estimate the effect of New Zealand’s vaccine rollout on the potential spread and health impacts of COVID-19. The main purpose of this study is to provide a basis for policy advice on border restrictions and control ...
Nicholas Steyn +5 more
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Measuring online social bubbles [PDF]
Social media have become a prevalent channel to access information, spread ideas, and influence opinions. However, it has been suggested that social and algorithmic filtering may cause exposure to less diverse points of view.
Dimitar Nikolov +3 more
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Half-linear cavity multiwavelength Brillouin-erbium fiber laser [PDF]
Multiwavelength half-linear cavity Brillouin erbium fiber laser (BEFL) has been demonstrated. The half-linear cavity BEFL is formed by utilizing only two circulators: one circulator acts as input and output ports and the other circulator is used to form ...
Al-Alimi A.W., Yaacob M. H., Abas A. F.
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In this paper, we present a new approach to NIDS deployment based on machine learning. This new approach is based on detecting attackers by analyzing the relationship between computers over time.
Sergio Iglesias Perez, Regino Criado
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3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics
Brain network analyses have exploded in recent years and hold great potential in helping us understand normal and abnormal brain function. Network science approaches have facilitated these analyses and our understanding of how the brain is structurally ...
Chal E. Tomlinson +3 more
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Universality, criticality and complexity of information propagation in social media
The authors identify characteristic patterns that describe the propagation of information in online social media platforms. They show that, depending on the topic, the information flows can spread as simple or complex contagion processes, operating at a ...
Daniele Notarmuzi +4 more
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Background Enforced ATP wasting has been recognized as a promising metabolic engineering strategy to enhance the microbial production of metabolites that are coupled to ATP generation.
Ahmed Zahoor +3 more
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Characterizing partisan political narrative frameworks about COVID-19 on Twitter
The COVID-19 pandemic is a global crisis that has been testing every society and exposing the critical role of local politics in crisis response. In the United States, there has been a strong partisan divide between the Democratic and Republican party’s ...
Elise Jing, Yong-Yeol Ahn
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