307,635 research outputs found
Identifying plant communities of thermophilous deciduous forest in Greece: Species composition, distribution, ecology and syntaxonomy
No full textThermophilous deciduous forest is widespread in northern mainland Greece and extends in patches further south to Peloponnisos and the bigger islands. In this paper, we provide a phytosociological survey of the plant communities of deciduous oak and mixed forest throughout Greece, based on about 370 releves from the literature and more than 300 personal unpublished ones. Assocation names of the thermophilous deciduous forest are re-evaluated, and syntaxonomic conclusions added. The releves are classified, and 13 associations and several additional subtypes described and presented in synoptic constancy tables. The following associations were recognized, and characterized by species composition, ecology and distribution: 1. Phillyreo-Carpinetum orientalis, 2. Dryopterido pallidae-Ostryetum carpinifoliae, 3. Tilio tomentosae-Castanetum; 4. Genisto carinalis-Quercetum petraeae, 5. Querco frainetto-Castanetum, 6. Cytiso villosi-Castanetum; 7. Lathyro laxiflori-Castanetum; 8. Symphyto ottomani-Quercetum frainetto, 9. Verbasco glabrati-Quercetum frainetto; 10. Huetio cynapioidis-Quercetum frainetto; 11. Digitali viridiflorae-Quercetum frainetto; 12. Geranio asphodeloidis-Quercetum frainetto; 13. Oenantho pimpinelloidis-Quercetum frainetto. Associations 1-2 are assigned to the alliance Fraxino orni-Ostryion, 4-6 and 8-13 to the Quercion frainetto (both Quercetalia pubescentis), 3 interim to the Tilio-Acerion, and 7 to the Quercetalia ilicis. The two Quercetalia pubescentis alliances co-occur in northern Greece; their habitats differ chiefly in terms of soil conditions, bedrock and topography, rather than in overall climatic character
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Development of innovative industrial cluster strategy using compound real options
No full textThe subject of the study is pilot clusters that are beneficial to a particular region, taking into account the traditions and production areas of the region. The work aims to develop an innovative strategy for state-supported pilot clusters that would allow for flexible management decision making. The proposed method involves the compound real options to be employed in the following order: 1) an option to reduce and abandon the cluster strategy; 2) an option to develop and replicate the experience accumulated in the cluster; 3) an option to switch from and temporarily stop the cluster strategy; and 4) an option to postpone the implementation of the new cluster strategy. As an example of the implementation of the method presented, the authors discuss the strategy for the development of a pilot electric power cluster in the Nizhny Novgorod region presented by the core company TNS energo NN PJSC. The use of the compound real option method enabled the cost increase of the strategy for this cluster – i.e., the effect of its implementation by the core company rose by 89.1%, from 2 710 022 to 5 124 706 thousand Rubles. Thus, using the compound real options precisely in the presented order avoids unreasonable management decisions to exit the current cluster strategy, which would include many tactical opportunities already implemented for cluster development. First, a put option, i.e., an option to reduce and exit the cluster strategy, supplements the evaluation of the current strategy. If the current strategy continues, the other three options are used
Current and future treatment options for infections caused by multidrugresistant Gram-negative pathogens
No full textThe spread of multidrug-resistant, extensively drug-resistant and pan-drug-resistant pathogens is causing an unprecedented public health crisis. The limited current therapeutic options led to the revival of two 'old' antibiotics - colistin and fosfomycin - for which a better understanding of their pharmacokinetics in the critically ill patient and in specific body compartments is required. Tigecycline's use in clinical practice for nonapproved indication based on its in vitro activity against problematic pathogens requires caution and probably higher doses. Furthermore, all three antibiotics should be used as part of combination regimens in order to prevent resistance and optimize outcomes. The development of new antibacterials in the near future, namely combinations of avibactam, ceftolozane/tazobactam and plazomicin, seems promising; however, they will only partially address current mechanisms of resistanc
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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