No Taxation Without Representation? An Empirical Examination of the Relationship Between Democratization and Tax Compliance
In: Chinese political science review, Band 5, Heft 2, S. 200-221
ISSN: 2365-4252
12 Ergebnisse
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In: Chinese political science review, Band 5, Heft 2, S. 200-221
ISSN: 2365-4252
In: China economic review, Band 72, S. 101757
ISSN: 1043-951X
SSRN
Working paper
In: PBFJ-D-23-00980
SSRN
In: Environmental science and pollution research: ESPR, Band 24, Heft 11, S. 10695-10707
ISSN: 1614-7499
SSRN
In: Environmental science and pollution research: ESPR, Band 29, Heft 42, S. 63735-63752
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 27, Heft 25, S. 31477-31488
ISSN: 1614-7499
In: Materials and design, Band 205, S. 109756
ISSN: 1873-4197
In: Environmental science and pollution research: ESPR, Band 28, Heft 38, S. 53224-53238
ISSN: 1614-7499
SSRN
Diagnosis of mild traumatic brain injuries (TBIs) has been difficult because of the absence of obvious focal brain lesions, using conventional computed tomography (CT) or magnetic resonance imaging (MRI) scans, in a large percentage of TBIs. One useful measure that can characterize potential tissue and neural network damage objectively is Lempel–Ziv complexity (LZC) applied to magnetoencephalography (MEG) signals. LZC is a model-independent estimator of system complexity that estimates the number of different patterns in a sequence. We hypothesized that because of the potential network damage, TBIs would show a reduced level of complexity in regions that are impaired. We included 18 healthy controls and 18 military veterans with TBI in the study. Resting state MEG data were acquired, and the LZCs were analyzed across the whole brain. Our results indicated reduced complexity in multiple brain areas in TBI patients relative to the healthy controls. In addition, we detected several neuropsychological measures associated with motor responses, visual perception, and memory, correlated with LZC, which likely explains some of the cognitive deficits in TBI patients.
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