104,872 research outputs found
Pharmacology of novel psychoactive substances
This PhD work consists of an in vitro and in vivo part. In the in vivo part, we investigated the role of dopamine in the acute clinical effects of 3,4-methylenedioxymethamphetamine (MDMA, “ecstasy”) in healthy human subjects. The role of dopamine in the addictive effects of drug of abuse is well established, but whether it contributes to the acute psychotropic effects of MDMA is unclear.
In this pharmacological interaction study, we used the dopamine and weak norepinephrine transporter inhibitor bupropion (Stahl et al. 2004) as a pharmacological tool to block the MDMA-induced dopamine release and to study the role of dopamine in the effects of MDMA. We hypothesized that bupropion would decrease the subjective effects of MDMA to the extent that they depend on MDMA-induced release of dopamine.
We included 16 healthy human subjects in this double-blind, placebo-controlled, crossover study. Bupropion pretreatment slightly increased MDMA plasma concentration and prolonged but not reduced the subjective effects contrary to our hypothesis. Additionally, bupropion reduced the MDMA-induced elevations in plasma norepinephrine concentrations and the heart rate response to MDMA.
These findings support a role for norepinephrine in the MDMA-induced cardiostimulant effects but no role for MDMA-induced transporter-mediated dopamine release in the elevated mood effects after MDMA administration. Possibly, most of the acute psychotropic effects of MDMA are mediated via transporter-mediated release of serotonin and norepinephrine as previously shown (Hysek et al. 2011, Hysek et al. 2012).
In the second and main part of this work we characterized the pharmacological profiles of novel psychoactive substances (NPS). Specifically, we studied whether and how potently NPS interacted with the human transporters for norepinephrine, dopamine, and serotonin, stably expressed in human embryonic kidney (HEK293) cells. Additionally, we assessed binding affinity to the serotonin 5-HT1A, 5-HT2A, 5-HT2C-receptors and the activation potency and activation efficacy at 5-HT2A and 5-HT2B receptors. Furthermore, binding to alpha1A/2A-adrenergic, dopamine D1-3, histamine H1 receptors, as well as trace amine-associated receptor 1 (TAAR1) was also assessed.
The NPS studied in this project included para-4-halogenated amphetamine derivatives, which were shown to be relatively more serotonergic than their non-4-halogenated counterparts and pyrovaleronering-substituted cathinones, which were highly potent dopamine transporter inhibitors with a high risk for abuse.
Para-halogenated drugs (4-fluoroephedrine, 4-fluoroamphetamine, 4-fluoromethamphetamine, 4-fluoromethcathinone, and 4-bromomethcathinone) also released monoamines, similar to MDMA, whereas pyrovalerones were found to be pure uptake inhibitors. Most benzofurans were similar to MDMA but slightly more serotoninergic than MDMA and additionally activated the serotonin 5-HT2B receptor.
The last big group of NPS studied in this project, were novel hallucinogens, which predominantly interacted with the 5-HT2A receptor. This serotonin receptor subtype mediates the hallucinogenic and hallucinogenic-like visual effects of classic serotonergic hallucinogens (Vollenweider et al. 1998, Nichols 2004, Halberstadt et al. 2013, Halberstadt et al. 2014, Halberstadt 2015).
Compounds tested in this project included the benzodifuran 8-Bromo-2,3,6,7-benzo-dihydro-difuran-ethylamine (2C-B-FLY), 2C-drugs with their highly potent N-(2-methoxy)benzyl (NBOMe)-derivatives, and lysergic acid diethylamide (LSD). Interestingly, NBOMe derivatives displayed higher affinities at the 5-HT2A receptor than LSD, together with a high selectivity for 5-HT2A over the 5-HT1A receptor, contrary to LSD. NBOMes were partial 5-HT2A receptor agonists, similar to LSD. These novel drugs likely carry a high hallucinogenic potential when used recreationally by humans and the high binding to α1A-receptor (Ki < 1µM) may result in additional vasocontrictive and cardiovascular stimulant effects.
Taken together, this PhD contributed to the understanding of the role of dopamine in the effects of MDMA, an important recreational substances. Additionally, we characterized the in vitro pharmacology of many novel designer drugs, which will be helpful in the prediction of the clinical toxicological effects of these newly used recreational drugs
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The construction of Karen Karnak: The multi-author-function
This thesis is situated within the comparatively recent developments of Web 2.0 and the emergence of interactive WikiMedia, and explores the mode of authorship within a Read/Write culture compared to that of a Read/Only tradition. The hypothesis of this study is that the role of the audience has become merged with the author, and as such, represents new functions and attributes, distinct from a more conventional concept of authorship, in which the roles of audience and author are more separate. Read/Write and participatory culture, as defined by this study, is focused on collaboration, and includes the influences of D.I.Y. culture, Open-Source practices and the production of text by multiple authors. Multi-authorship presents a re-thinking of several concepts which support the notion of the individual author, since the focus of multi-authorship is not on attribution and ownership of a finished text, but on the continued malleability of a text. Modes of multi-authorship, demonstrated in the use of the pseudonyms Alan Smithee and Karen Eliot, represent declarative authors whose names signify multiple origins, whilst concurrently indicating a distinct body of work. The function of these names form an important context to this study, since primary research involves the construction of an experimental mode of multi-authorship utilising WikiMedia technology and the interaction of thirty nine participants, who are invited to create a body of work under the collective pseudonym Karen Karnak. The data generated by this experiment is analysed using aspects of Michel Foucault's author-function to identify and determine power structures inherent in the WikiMedia context. The interplay of power structures, including concepts such as identity, ownership and the body of work, affect the resulting mode of authorship and contribute to the construction of Karen Karnak, suggesting further areas of research into the emerging multi-author
Contribution of Information and Communication Technology (ICT) in Country’S H-Index
The aim of this study is to examine the effect of Information and Communication Technology (ICT) development on country’s scientific ranking as measured by H-index. Moreover, this study applies ICT development sub-indices including ICT Use, ICT Access and ICT skill to find the distinct effect of these sub-indices on country’s H-index. To this purpose, required data for the panel of 14 Middle East countries over the period 1995 to 2009 is collected. Findings of the current study show that ICT development increases the H-index of the sample countries. The results also indicate that ICT Use and ICT Skill sub-indices positively contribute to higher H-index but the effect of ICT access on country’s H-index is not clear
Fully Turbulent Mean Velocity Profile for Purely Viscous non-Newtonian Fluids
The characteristic near wall behavior of turbulent flow of purely-viscous non-Newtonian fluids is discussed for both power-law (P.-L.) and Herschel-Bulkley (H.-B.) rheological models. A proper scaling is presented for H.-B. fluids to establish an analogy with power-law fluids with same flow index. To provide reference data for turbulent flow of non-Newtonian fluids, DNS simulations of power-law fluids are conducted in a rectangular channel for a large range of power-law indices ( = 0.5, 0.69, 0.75, 0.9, 1, 1.2). The DNS data show that the mean velocity profile in the viscous and logarithmic layers follow expressions of the form and respectively, where shows a logarithmic dependency on the flow index.Comparison with some experimental data shows the above formulation to be valid for Reynolds numbers (based on shear velocity) as high as 1000
H-index and research evaluation: A suggested set of components for developing a comprehensive author-level index
The H-index has been investigated in various studies; this index has many strengths that have made it popular. However, it also has weaknesses, due to which other indicators have been developed. This study aims to identify the strengths and weaknesses of the H-index and provide the minimum set of necessary components for developing a comprehensive author-level index. In this systematic literature review, Scopus, PubMed, Web of Science, Emerald, and ProQuest databases were searched to identify relevant studies. From the number of 14,253 retrieved studies, after two stages of screening, 81 studies were selected according to the eligibility criteria for data extraction. The findings of the study led to the identification of 15 strengths in the three categories of Quality Features, Simplicity, and Suitability, and 13 weaknesses in the six categories of Publications, Citations, Academic Age, Author Credit Allocation, Variety of Fields, and mathematical calculation for H-index. Finally, 28 components were identified as the minimum set of necessary components to develop a comprehensive author-level index to help evaluate researchers more realistically and fairly. The minimum components that need to be considered in developing a comprehensive author-level index can be proposed as follows: Quality Features, Simplicity, Suitability, Publications, Citations, Academic Age, Author Credit Allocation, Variety of Fields, and mathematical calculation
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