Reliable network connections

2002 ◽  
Author(s):  
Victor C. Zandy ◽  
Barton P. Miller
Keyword(s):  
Network Connections

Default mode network connections supporting intra-individual variability in typically developing primary school children: An EEG study.

2020 ◽  
Vol 34 (7) ◽  
pp. 811-823
Author(s):  
Evgeniya Yu. Privodnova ◽  
Helena R. Slobodskaya ◽  
Andrey V. Bocharov ◽  
Alexander E. Saprigyn ◽  
Gennady G. Knyazev
Keyword(s):  
Primary School ◽  
School Children ◽  
Default Mode Network ◽  
Individual Variability ◽  
Primary School Children ◽  
Typically Developing ◽  
Default Mode ◽  
Network Connections

Network Ties Among Low-Tax Firms

2013 ◽  
Vol 89 (2) ◽  
pp. 483-510 ◽  
Author(s):  
Jennifer L. Brown ◽  
Katharine D. Drake
Keyword(s):  
Social Network ◽  
Avoidance Behavior ◽  
Tax Avoidance ◽  
Executive Directors ◽  
Network Ties ◽  
Board Interlocks ◽  
Network Connections ◽  
Focal Firm ◽  
Avoidance Strategies ◽  
Network Partner

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.

scholarly journals Modelling Sustainable Industrial Symbiosis

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1172
Author(s):  
Hafiz Haq ◽  
Petri Välisuo ◽  
Seppo Niemi
Keyword(s):  
Life Cycle ◽  
Waste Management ◽  
Environmental Performance ◽  
Life Cycle Cost ◽  
Economic Assessment ◽  
Environmental Benefits ◽  
Industrial Symbiosis ◽  
Comprehensive Model ◽  
Network Connections

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.

A parallel correlation-based algorithm in J learns neural network connections

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

scholarly journals Point-of-care testing (POCT) and IT security concepts

2020 ◽  
Vol 44 (2) ◽  
pp. 107-111 ◽  
Author(s):  
Wibke Johannis ◽  
Andreas Bietenbeck ◽  
Gebhart Malchau ◽  
Thomas Streichert
Keyword(s):  
Secure Communication ◽  
Point Of Care ◽  
Quality Criteria ◽  
Round Table ◽  
It Security ◽  
Point Of Care Testing ◽  
User Friendliness ◽  
Continuous Training ◽  
Network Connections ◽  
User Data

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.

scholarly journals Decision Making Under Acute Stress Modeled by an Adaptive Temporal–Causal Network Model

2020 ◽  
Vol 07 (04) ◽  
pp. 433-452 ◽  
Author(s):  
S. Sahand Mohammadi Ziabari ◽  
Jan Treur
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Real World ◽  
Acute Stress ◽  
Second Phase ◽  
Causal Network ◽  
Severe Stress ◽  
Modeling Methodology ◽  
Network Connections ◽  
New Learning

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.

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
Keyword(s):  
Graphical Lasso ◽  
Network Connections

Physician Network Connections Associated With Faster De-Adoption of Dronedarone for Permanent Atrial Fibrillation

2021 ◽  
Author(s):  
Chad Stecher ◽  
Alexander Everhart ◽  
Laura Barrie Smith ◽  
Anupam Jena ◽  
Joseph S. Ross ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Medical Information ◽  
Median Number ◽  
Black Box ◽  
Medicare Advantage ◽  
Permanent Atrial Fibrillation ◽  
Percentage Points ◽  
Network Connections ◽  
United States Food ◽  
States Food

Background: Physicians’ professional networks are an important source of new medical information and have been shown to influence the adoption of new treatments, but it is unknown how physician networks impact the de-adoption of harmful practices. Methods: We analyzed changes in physicians’ use of dronedarone after the PALLAS trial (Palbociclib Collaborative Adjuvant Study; November 2011) showed that dronedarone increased the risk of death from cardiovascular events among patients with permanent atrial fibrillation. Deidentified administrative claims from the OptumLabs Data Warehouse were combined with physicians’ demographic information from the Doximity database and publicly available data on physicians’ patient-sharing relationships compiled by the Centers for Medicare and Medicaid Services. We used a linear probability model with an interrupted linear time trend specification to model the impact of the PALLAS trial on physicians’ dronedarone usage between 2009 and 2014. Results: Before the PALLAS trial, the use of dronedarone was increasing by 0.22 percentage points per quarter (95% CI, 0.19–0.25) in our Medicare Advantage sample (N=343 429 patient-quarter observations) and 0.63 percentage points per quarter (95% CI, 0.52–0.75) in our commercially insured sample (N=44 402 patient-quarter observations). After the PALLAS trial and subsequent United States Food and Drug Administration black box warning, physicians in the Medicare Advantage sample with an above-median number of network connections to other physicians decreased their quarterly usage of dronedarone by 0.12 percentage points more per quarter (95% CI, −0.20 to −0.04; P =0.031) than physicians with equal to or below the median number of network connections. Similar patterns existed in the commercially insured sample ( P =0.0318). Conclusions: After controlling for a wide range of patient, physician, and geographic characteristics, physicians with a greater number of network connections were faster de-adopters of dronedarone for patients with permanent atrial fibrillation after the PALLAS trial and subsequent United States Food and Drug Administration black box warning detailed the harmfulness of dronedarone for these patients. Policies for improving physicians’ responsiveness to new medical information should consider utilizing the influence of these important professional network relationships.

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