A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers

2020 ◽  
Author(s):  
Marco Battaglini ◽  
Forrest Crawford ◽  
Eleonora Patacchini ◽  
Sida Peng
2020 ◽  
Author(s):  
Marco Battaglini ◽  
Forrest Crawford ◽  
Eleonora Patacchini ◽  
Sida Peng

2020 ◽  
Vol 34 (7) ◽  
pp. 811-823
Author(s):  
Evgeniya Yu. Privodnova ◽  
Helena R. Slobodskaya ◽  
Andrey V. Bocharov ◽  
Alexander E. Saprigyn ◽  
Gennady G. Knyazev

2013 ◽  
Vol 89 (2) ◽  
pp. 483-510 ◽  
Author(s):  
Jennifer L. Brown ◽  
Katharine D. Drake

ABSTRACT This study examines (1) whether network ties help explain variation in tax avoidance, and (2) how the relation between network ties and tax avoidance varies depending on the nature and context of those ties. We posit that information on a range of tax-avoidance strategies is shared among firms through their social network connections. Using board interlocks to proxy for these connections, we find that firms with greater board ties to low-tax firms have lower cash ETRs themselves. Ties to low-tax firms are more influential when the focal firm and its network partner are operationally and strategically similar, as are ties created by executive directors. Board ties to low-tax firms are also more influential when the focal firm and its network partner engage the same local auditor. Overall, our results suggest that the influence of firms' network ties on their tax-avoidance behavior depends on the character of those ties.


Inventions ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 52
Author(s):  
Rajan Kapoor ◽  
Aniruddha Datta ◽  
Michael Thomson

Conventional breeding approaches that focus on yield under highly favorable nutrient conditions have resulted in reduced genetic and trait diversity in crops. Under the growing threat from climate change, the mining of novel genes in more resilient varieties can help dramatically improve trait improvement efforts. In this work, we propose the use of the joint graphical lasso for discovering genes responsible for desired phenotypic traits. We prove its efficiency by using gene expression data for wild type and delayed flowering mutants for the model plant. Arabidopsis thaliana shows that it recovers the mutation causing genes LNK1 and LNK2. Some novel interactions of these genes were also predicted. Observing the network level changes between two phenotypes can also help develop meaningful biological hypotheses regarding the novel functions of these genes. Now that this data analysis strategy has been validated in a model plant, it can be extended to crop plants to help identify the key genes for beneficial traits for crop improvement.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1172
Author(s):  
Hafiz Haq ◽  
Petri Välisuo ◽  
Seppo Niemi

Industrial symbiosis networks conventionally provide economic and environmental benefits to participating industries. However, most studies have failed to quantify waste management solutions and identify network connections in addition to methodological variation of assessments. This study provides a comprehensive model to conduct sustainable study of industrial symbiosis, which includes identification of network connections, life cycle assessment of materials, economic assessment, and environmental performance using standard guidelines from the literature. Additionally, a case study of industrial symbiosis network from Sodankylä region of Finland is implemented. Results projected an estimated life cycle cost of €115.20 million. The symbiotic environment would save €6.42 million in waste management cost to the business participants in addition to the projected environmental impact of 0.95 million tonne of CO2, 339.80 tonne of CH4, and 18.20 tonne of N2O. The potential of further cost saving with presented optimal assessment in the current architecture is forecast at €0.63 million every year.


1994 ◽  
Vol 25 (1) ◽  
pp. 194-199
Author(s):  
Alexei N. Skurikhin ◽  
Alvin J. Surkan

2020 ◽  
Vol 44 (2) ◽  
pp. 107-111 ◽  
Author(s):  
Wibke Johannis ◽  
Andreas Bietenbeck ◽  
Gebhart Malchau ◽  
Thomas Streichert

AbstractPoint-of-care testing (POCT) has been an essential service in hospitals for many years with a main focus on reliability, classical laboratory quality criteria and easy handling. Hospital information technology (IT) security regulations, however, have not yet been adapted to the specificities of POCT. Following the POCT Symposium in Munich, the “1st Round Table POCT-IT-Security Meeting” held in October 2019 in Cologne addressed these issues and managed to establish first consensus results in the essential fields of user, data and update management, as well as network connections and user-friendliness. First practical steps include optimizing the user management by connection to a directory service and definition of access control (including emergency authorization). Patient data economy on analyzers in combination with data and data transmission encryption as well as technically secure communication protocols are relevant steps in the fields of data management and network connections. An update management needs to be contractually defined for remote services and generally includes testing in a protocol-based scenario. Providing an organizational structure for POCT-IT security is a necessary prerequisite, as are continuous training and awareness for this topic with a strong focus on usability.


2020 ◽  
Vol 07 (04) ◽  
pp. 433-452 ◽  
Author(s):  
S. Sahand Mohammadi Ziabari ◽  
Jan Treur

The influence of acute severe stress or extreme emotion based on a Network-Oriented modeling methodology has been addressed here. Adaptive temporal causal network model is an approach to address the phenomena with complexity which cannot be or hard to be explained in a real-world experiment. In the first phase, the suppression of the existing network connections as a consequence of the acute stress modeled and in the second phase relaxing the suppression by giving some time and starting a new learning of the decision making in accordance to presence of stress starts again.


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