Authors: Lucas Fuentes Valenzuela, Lindell Williams, Michael Chertkov
arXiv
We study the collective phenomena and constraints associated with the aggregation of individual cooling units from a statistical mechanics perspective. These units are modelled as Thermostatically Con...
Authors: František Bartoš, Maximilian Maier, Eric-Jan Wagenmakers, Franziska Nippold, Hristos Doucouliagos, John P. A. Ioannidis, Willem M. Otte, Martina Sladekova, Teshome K. Deresssa, Stephan B. Bruns, Daniele Fanelli, T. D. Stanley
arXiv
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates f...
Authors: Yongchang Su, Xinran Li
arXiv
Evaluating the treatment effects has become an important topic for many applications. However, most existing literature focuses mainly on the average treatment effects. When the individual effects are...
Authors: Yannick Roy, Jocelyn Faubert
arXiv
Our ability to track multiple objects in a dynamic environment enables us to perform everyday tasks such as driving, playing team sports, and walking in a crowded mall. Despite more than three decades...
Authors: Chan Li, Haiping Huang
arXiv
Large-scale deep neural networks consume expensive training costs, but the training results in less-interpretable weight matrices constructing the networks. Here, we propose a mode decomposition learn...
Authors: Mamadou Yauck
arXiv
This paper deals with the estimation of exogeneous peer effects for partially observed networks under the new inferential paradigm of design identification, which characterizes the missing data challe...
Authors: Hieu Bui, Sandra Eksioglu, Ruben Proano, Sarah Nurre Pinkley
arXiv
Reluctance or refusal to get vaccinated, referred to as vaccine hesitancy (VH), has hindered the efforts of COVID-19 vaccination campaigns. It is important to understand what factors impact VH behavio...
Authors: Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
arXiv
In this chapter, an integer linear programming formulation for the problem of obtaining task-relevant, multi-resolution, environment abstractions for resource-constrained autonomous agents is presente...
Authors: Marina Zajnulina
arXiv
Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intra-operative diagnostics can significantly contribute to successful cancer identification and treatment....
Authors: Francesco Randi, Anuj K. Sharma, Sophie Dvali, Andrew M. Leifer
arXiv
A fundamental problem in neuroscience is understanding how a network's properties dictate its function. Connectomics provides one avenue to predict nervous system function. To test this explicitly, we...
Authors: Dmitry Yu. Zubarev, Petar Ristoski
arXiv
We introduce an approach to the targeted completion of lacunae in molecular data sets which is driven by topological data analysis, such as Mapper algorithm. Lacunae are filled in using scaffold-const...
Authors: Yuncheng You
arXiv
Global dynamics of the diffusive Hindmarsh-Rose equations with memristor as a new proposed model for neuron dynamics are investigated in this paper. We prove the existence and regularity of a global a...
Authors: Bradly Alicea, Jesse Parent
arXiv
What role does phenotypic complexity play in the systems-level function of an embodied agent? The organismal phenotype is a topologically complex structure that interacts with a genotype, developmenta...
Authors: Oscar Fontanelli, Dulce I. Valdivia, Guillermo Romero, Oliver Medina, Wentian Li, Maribel Hernández-Rosales
arXiv
The availability of cellphone geolocation data provides a remarkable opportunity to study human mobility patterns and how these patterns are affected by the recent pandemic. Two simple centrality metr...
Authors: Weining Zhu
arXiv
Environmental model performances need to be assessed using some statistical parameters, such as mean absolute error (MAE) and root mean square error (RMSE). The advantages and disadvantages of these p...