Dynamic graph in a symbolic data framework: An account of the causal relation using COVID-19 reports and some reflections on the financial world

2021 ◽  
Vol 153 ◽  
pp. 111440
Author(s):  
Diego C. Nascimento ◽  
Bruno A. Pimentel ◽  
Renata M.C.R. Souza ◽  
Lilia Costa ◽  
Sandro Gonçalves ◽  
...  
VASA ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 333-340 ◽  
Author(s):  
Christian Werner ◽  
Ulrich Laufs

Abstract. Summary: The term “LDL hypothesis” is frequently used to describe the association of low-density lipoprotein cholesterol (LDL-cholesterol, LDL-C) and cardiovascular (CV) events. Recent data from genetic studies prove a causal relation between serum LDL-C and CV events. These data are in agreement with mechanistic molecular studies and epidemiology. New randomised clinical trial data show that LDL-C lowering with statins and a non-statin drug, ezetimibe, reduces CV events. We therefore believe that the “LDL-hypothesis” has been proven; the term appears to be outdated and should be replaced by “LDL causality”.


2012 ◽  
Vol 43 (02) ◽  
Author(s):  
A Bertsche ◽  
S Syrbe ◽  
M Bernhard ◽  
C Schober ◽  
W Siekmeyer ◽  
...  

Author(s):  
Manoj Kumar ◽  
Rohit Tanwar

In the computerized age as a result of the broad utilization of web, information covering up in advanced symbolism assumes a fundamental part to guarantee copyright assurance and power from pernicious assaults. Today the exponential development in web clients request secure information correspondence, for that it is required to send the information as encoded or shrouded shape. Numerous data framework security procedures are accessible.Information transmission needs security. Information covering up can be accomplished through numerous techniques. Distinctive information concealing procedures are talked about in this paper which incorporates watermarking, steganography, fingerprinting, cryptography and advanced mark.


2019 ◽  
Author(s):  
Babak Hemmatian ◽  
Sze Yu Yu Chan ◽  
Steven A. Sloman

A label’s entrenchment, its degree of use by members of a community, affects its perceived explanatory value even if the label provides no substantive information (Hemmatian & Sloman, 2018). In three experiments, we show that laypersons and mental health professionals see entrenched psychiatric and non-psychiatric diagnostic labels as better explanations than non-entrenched labels even if they are circular. Using scenarios involving experts who discuss unfamiliar diagnostic categories, we show that this preference is not due to violations of conversational norms, lack of reflectiveness or attentiveness, and the characters’ familiarity or unfamiliarity with the label. In Experiment 1, whether a label provided novel symptom information or not had no impact on lay responses, while its entrenchment enhanced ratings of explanation quality. The effect persisted in Experiment 2 for causally incoherent categories and regardless of direct provision of mechanistic information. The effect of entrenchment was partly related to induced causal beliefs about the category, even when participants were informed there is no causal relation. Most participants in both experiments did not report any effect of entrenchment and the effect was present for those who did not. In Experiment 3, mental health professionals showed the effect using diagnoses that were mere shorthands for symptoms, despite a tendency to rate all explanations as unsatisfactory. The data suggest that bringing experts’ attention to the manipulation eliminates the effect. We discuss practical implications for mental health disciplines and potential ways to mitigate the impact of entrenchment.


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