bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficiency of the Slovak forestry in comparison to other European countries: An application of Data Envelopment Analysis
Authors: Kovalčík Miroslav 
Published: February 2018

AbstractEfficiency improvement is important for increasing the competitiveness of any sector and the same is essential for the forestry sector. A non-parametric approach – Data Envelopment Analysis (DEA) was used for the assessment of forestry efficiency. The paper presents the results of the efficiency evaluation of forestry in European countries using DEA. One basic and two modified models (labourandwood sale) were proposed, based on available input and output data from Integrated Environmental and Economic Accounts for Forests and specific conditions of forestry also. The sample size was 22 countries and the data for 2005–2008 was processed. Obtained results show average efficiency in the range of 69 – 90% (depending on the model). Based on the results of the analysis following can be concluded: Slovak forestry achieved under average efficiency in comparison to other European countries, there were great differences in efficiency among individual countries; state of economy (advanced countries and countries with economy in transition) and region did not influence the efficiency statistically significant.
Weight parameters of body parts in sika deer (Cervus nippon nippon) from the Konstantinolázeňsko microregion, the Czech Republic
Authors: Hanzal Vladimír , Košinová Klára , Pokorný Radek , Janiszewski Pawel , Hart Vlastimil 
Published: February 2018

Abstract
Sika deer is widely spread species, in Czech Republic mostly occurred in West Bohemia. This species is defined as one of the most harmful ungulate game in the forests. For the wildlife population of sika deer in the microregion Konstantinolázeňsko in West Bohemia, total weight after the hunt, weight after expelling organs, weight of the head and distal parts of the limbs, and weight of the internal organs (heart, lung, liver, spleen, kidney) were determined. Correlations between the weights of specific body parts (organs) were evaluated. Ratio between the weight after expelling organs (after gralloch) and the weight after hunt (total weight) was determined. The weight after expelling organs was 74% of the total weight. Moreover, a positive correlation was found between the age and weight of individuals, and between the male age and the weight of the head. Without taking into account age differences, we show that males have a higher body weight than females, a form of sexual dimorphism.
Hollow tree fire is a useless forest fire category
Authors: Chromek Ivan , Lukášová Karolina , Berčák Roman , Vaněk Jan , Holuša Jaroslav 
Published: February 2018

AbstractIn the Czech Republic and Slovakia, the term “hollow tree fire“ was first used in a publication in 1956 without being well defined and was then uncritically used in other publications. The term refers to fires occurring in the rotted, inner trunks of trees. The main aim of the current study was to determine whether the term should be considered a useful category for the statistical analysis of forest fires. The nature and causes of fires from 2006–2015 were assessed by performing a detailed analysis of the Fire Rescue Service of the Czech Republic (FRS CR) database. The database included a total of 7,256 fires in the natural environment, but only 18 of these were hollow tree fires. Most hollow tree fires were initiated by human carelessness, and only three were initiated by lightning. Based on our critical consideration of fire attributes, hollow tree fires should not be considered a category of forest fire. The presence of rotten trees is, however, a serious problem because such trees represent long-lasting sources of fire in forest stands and because they complicate firefighting. The numbers of rotten trees in forests is increasing, and firefighters should be made aware of the complications of extinguishing fires involving rotten trees in forests.
Inalienable Possession in Swedish and Danish – A Diachronic Perspective
Authors: Piotrowska Alicja , Skrzypek Dominika 
Published: February 2018

Abstract
In this paper we discuss the alienability splits in two Mainland Scandinavian languages, Swedish and Danish, in a diachronic context. Although it is not universally acknowledged that such splits exist in modern Scandinavian languages, many nouns typically included in inalienable structures such as kinship terms, body part nouns and nouns describing culturally important items show different behaviour from those considered alienable. The differences involve the use of (reflexive) possessive pronouns vs. the definite article, which differentiates the Scandinavian languages from e.g. English. As the definite article is a relatively new arrival in the Scandinavian languages, we look at when the modern pattern could have evolved by a close examination of possessive structures with potential inalienables in Old Swedish and Old Danish. Our results reveal that to begin with, inalienables are usually bare nouns and come to be marked with the definite article in the course of its grammaticalization.
Henrik Hajdus (1890–1969) Rolle I Udbredelsen Af Det 19. Og 20. Århundredes Danske Litteratur I Ungarn
Authors: Csúr Gábor Attila 
Published: February 2018

Abstract
The Hungarian literary translator Henrik Hajdu (1890–1969) was one of the most extraordinary persons in the history of translating Scandinavian literature into Hungarian. Aside his activity as a translator from Norwegian and Swedish, Hajdu was also an important promoter of Danish authors of the 19th and 20th century. He held lectures on Nordic culture and literature, wrote reviews in prominent Hungarian journals and maintained regular contact to many of the Scandinavian publishers, writers, dramatists and poets. He translated novels by Henrik Pontoppidan, Martin Andersen Nexø and Sigrid Undset, made an edition of Ibsen's complete works and a great amount of short stories and poems. His oeuvre numbers about a hundred separate publications. This paper focuses on how he contributed to the general acceptance and reception of Danish literary works written between 1850 and 1930 among the Hungarian readers.
“Hver Gang Jeg Skriver En Roman” – Metafiktive Former Og Indstillinger I Inger Christensens Azorno
Authors: Gregersen Sune 
Published: February 2018

Abstract
The paper presents an analysis and discussion of the Danish writer Inger Christensen’s experimental novel Azorno from 1967. It is argued that the novel, which is partly in epistolary form, can be read as a literary objet trouvé, a found manuscript consisting of a struggling writer’s unfinished notes and documents. I then attempt to characterise the novel using the typology of metafictional forms and attitudes proposed by Gemzøe (2001), and point out a number of potential problems with this typology.
Synthesis of 2,3-dicyanopyrazine and ethyl 5-amino-4,6-dicyanobiphenyl-3-carboxylate derivatives from ethyl aroylpyruvates
Authors: Moloudi Maryam , Kabirifard Hassan , Piri Sohila , Naghizadeh Elham 
Published: February 2018

Abstract
Reactions of ethyl 4-aryl-2,4-dioxobutanoates 1a–c at ambient temperature with diaminomaleonitrile in glacial acetic acid and with malononitrile in ethanol/H2O (1:1) led to the formation of 5-(2-aryl-2-oxoethyl)-6-oxo-1,6-dihydropyrazine-2,3-dicarbontrile 2a–c and ethyl 5-amino-4,6-dicyanobiphenyl-3-carboxylate derivatives 3a–c, respectively.
Shear moduli in the longitudinal-radial and radial-tangential planes of Sitka spruce measured by torsional vibration tests
Authors: Yoshihara Hiroshi , Maruta Makoto 
Published: February 2018

Abstract
The shear moduli (SM) of solid wood in the longitudinal-radial (LR) and radial-tangential (RT) planes of Sitka spruce are extremely different from each other and were obtained via a torsional vibration (TV) test by varying the aspect ratios and conducting subsequent numerical analyses. The SM in both planes were accurate, when the aspect ratios of the specimens were appropriately selected, even though the SM around the torsional axis were extremely different from each other.
Combined Frequency Equivalent Model for Power Transmission Network Dynamic Behavior Analysis
Authors: Lakrih S. , Diouri J. 
Published: February 2018

AbstractThis paper presents a dynamic equivalent model for transmission network dynamic behavior analysis in MATLAB SIMULINK. The electromagnetic frequency response and electromechanical response are combined in the model. The dynamic behavior of distributed parameters line modeled by the EMTP equivalent model is compared with that corresponding to lumped parameter line represented by π model. The aim is to define the frequency band in which the lumped model can accurately represent the distributed parameters model on no load conditions but also when the network is loaded. The proposed equivalent model is explored to investigate the impact of topology on the network dynamics. Besides, the influence of load nature and compensation rate on the driving point frequency response are analyzed analytically and simulated via the proposed model.
Computational Studies of Voltage Regulation Provided by Wind Farms Through Reactive Power Control
Authors: Reis Alex , Moura Leandro Pains , Oliveira José Carlos de 
Published: February 2018

AbstractThe ever-growing demand for energy sources of low environmental impact has given a greater importance to wind farms in many countries. However, due to operational characteristics of these complexes, which are reflected into a variability of the energy produced and in the use of power electronic converters, the interaction between wind power plants and electrical networks shows itself to be an area of high investigative interest. In fact, among the various phenomena that exist, steady state voltage variations constitute a theme that is under the constant attention of electrical system operators. In this context, the present article is directed toward the analysis of a voltage regulation strategy aimed at wind power generation systems composed by synchronous machines and full converters. Once established the methodology that lead to an ancillary operation of the wind farm, the authors present results of computational simulations on ATP/EMTP platform that attest to the efficiency of the strategy.
Implementing complete mesocolic excision for colon cancer – mission completed?
Authors: Croner Roland S. , Ptok Henry , Merkel Susanne , Hohenberger Werner 
Published: February 2018

AbstractThe definition of complete mesocolic excision (CME) for colon carcinomas revolutionized the way of colon surgery. This technique conquered the world starting from Erlangen. Nevertheless, currently new developments especially in minimally invasive surgery challenge CME to become settled as a standard of care. To understand the evolution of CME, anatomical details occurring during embryogenesis and their variations have to be considered. This knowledge is indispensable to transfer CME from an open to a minimally invasive setting. Conventional surgery for colon cancer (non-CME) has a morbidity of 12.1–28.5% and a 3.7% mortality risk vs. 12–36.4% morbidity and 2.1–3% mortality for open CME. The morbidity of laparoscopic CME is between 4 and 31% with a mortality of 0.5–0.9%. In robotic assisted surgery, morbidity between 10 and 25% with a mortality of 1% was published. The cancer-related survival after 3 and 5 years for open CME is respectively 91.3–95% and 90% vs. 87% and 74% for non-CME. For laparoscopic CME the 3- and 5-year cancer-related survival is 87.8–97% and 79.5–80.2%. In stage UICC III the 3- and 5-year cancer-related survival is 83.9% and 80.8% in the Erlangen data of open technique vs. 75.4% and 65.5–71.7% for laparoscopic surgery. For stage UICC III the 3- and 5-year local tumor recurrence is 3.8%. The published data and the results from Erlangen demonstrate that CME is safe in experienced hands with no increased morbidity. It offers an obvious survival benefit for the patients which can be achieved solely by surgery. Teaching programs are needed for minimally invasive CME to facilitate this technique in the same quality compared to open surgery. Passing these challenges CME will become the standard of care for patients with colon carcinomas offering all benefits of minimally invasive surgery and oncological outcome.
One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions
Authors: Lam Max W. Y. 
Published: February 2018

Abstract
There is a growing interest in applying machine learning algorithms to real-world examples by explicitly deriving models based on probabilistic reasoning. Sports analytics, being favoured mostly by the statistics community and less discussed in the machine learning community, becomes our focus in this paper. Specifically, we model two-team sports for the sake of one-match-ahead forecasting. We present a pioneering modeling approach based on stacked Bayesian regressions, in a way that winning probability can be calculated analytically. Benefiting from regression flexibility and high standard of performance, Sparse Spectrum Gaussian Process Regression (SSGPR) – an improved algorithm for the standard Gaussian Process Regression (GPR), was used to solve Bayesian regression tasks, resulting in a novel predictive model called TLGProb. For evaluation, TLGProb was applied to a popular sports event – National Basketball Association (NBA). Finally, 85.28% of the matches in NBA 2014/2015 regular season were correctly predicted by TLGProb, surpassing the existing predictive models for NBA.
Soft Computing Tools for Virtual Drug Discovery
Authors: Hagan Daniel , Hagan Martin 
Published: February 2018

Abstract
In this paper, we describe how several soft computing tools can be used to assist in high throughput screening of potential drug candidates. Individual small molecules (ligands) are assessed for their potential to bind to specific proteins (receptors). Committees of multilayer networks are used to classify protein-ligand complexes as good binders or bad binders, based on selected chemical descriptors. The novel aspects of this paper include the use of statistical analyses on the weights of single layer networks to select the appropriate descriptors, the use of Monte Carlo cross-validation to provide confidence measures of network performance (and also to identify problems in the data), the addition of new chemical descriptors to improve network accuracy, and the use of Self Organizing Maps to analyze the performance of the trained network and identify anomalies. We demonstrate the procedures on a large practical data set, and use them to discover a promising characteristic of the data. We also perform virtual screenings with the trained networks on a number of benchmark sets and analyze the results.
An Environment for Collective Perception based on Fuzzy and Semantic Approaches
Authors: D’Aniello Giuseppe , Gaeta Matteo , Loia Francesca , Reformat Marek , Toti Daniele 
Published: February 2018

Abstract
This work proposes a software environment implementing a methodology for acquiring and exploiting the collective perception (CP) of Points of Interests (POIs) in a Smart City, which is meant to support decision makers in urban planning and management. This environment relies upon semantic knowledge discovery techniques and fuzzy computational approaches, including natural language processing, sentiment analysis, POI signatures and Fuzzy Cognitive Maps, turning them into a cohesive architectural blend in order to effectively gather the realistic perception of a user community towards given areas and attractions of a Smart City. The environment has been put to the test via a thorough experimentation against a massive user base of an online community with respect to a large metropolitan city (the City of Naples). Such an experimentation yielded consistent results, useful for providing decision makers with a clear awareness of the positive as well as critical aspects of urban areas, and thus helping them shape the measures to be taken for an improved city management and development.
Effect of Strategy Adaptation on Differential Evolution in Presence and Absence of Parameter Adaptation: An Investigation
Authors: Dawar Deepak , Ludwig Simone A. 
Published: February 2018

Abstract
Differential Evolution (DE) is a simple, yet highly competitive real parameter optimizer in the family of evolutionary algorithms. A significant contribution of its robust performance is attributed to its control parameters, and mutation strategy employed, proper settings of which, generally lead to good solutions. Finding the best parameters for a given problem through the trial and error method is time consuming, and sometimes impractical. This calls for the development of adaptive parameter control mechanisms. In this work, we investigate the impact and efficacy of adapting mutation strategies with or without adapting the control parameters, and report the plausibility of this scheme. Backed with empirical evidence from this and previous works, we first build a case for strategy adaptation in the presence as well as in the absence of parameter adaptation. Afterwards, we propose a new mutation strategy, and an adaptive variant SA-SHADE which is based on a recently proposed self-adaptive memory based variant of Differential evolution, SHADE. We report the performance of SA-SHADE on 28 benchmark functions of varying complexity, and compare it with the classic DE algorithm (DE/Rand/1/bin), and other state-of-the-art adaptive DE variants including CoDE, EPSDE, JADE, and SHADE itself. Our results show that adaptation of mutation strategy improves the performance of DE in both presence, and absence of control parameter adaptation, and should thus be employed frequently.
Complex-Valued Associative Memories with Projection and Iterative Learning Rules
Authors: Isokawa Teijiro , Yamamoto Hiroki , Nishimura Haruhiko , Yumoto Takayuki , Kamiura Naotake , Matsui Nobuyuki 
Published: February 2018

Abstract
In this paper, we investigate the stability of patterns embedded as the associative memory distributed on the complex-valued Hopfield neural network, in which the neuron states are encoded by the phase values on a unit circle of complex plane. As learning schemes for embedding patterns onto the network, projection rule and iterative learning rule are formally expanded to the complex-valued case. The retrieval of patterns embedded by iterative learning rule is demonstrated and the stability for embedded patterns is quantitatively investigated.
Severe Austrian Syndrome in an Immunocompromised Adult Patient – A Case Report
Authors: Chirteș Ioana Raluca , Florea Dragos , Chiriac Carmen , Mărginean Oana Maria , Mănășturean Cristina , Vitin Alexander A , Georgescu Anca Meda 
Published: February 2018

Abstract

Background: Known also as Osler’s triad, Austrian syndrome is a complex pathology which consists of pneumonia, meningitis and endocarditis, all caused by the haematogenous dissemination of Streptococcus pneumoniae. The multivalvular lesions are responsible for a severe and potential lethal outcome.

Case report: The case of a 51-year-old female patient, with a past medical history of splenectomy, is presented. She developed bronchopneumonia, acute meningitis and infective endocarditis as a result of Streptococcus pneumoniae infection and subsequently developed multiple organ dysfunction syndromes which led to a fatal outcome. Bacteriological tests did not reveal the etiological agent. The histopathological examination showed a severe multivalvular endocarditis, while a PCR based molecular analysis from formalin fixed valvular tissue identified Streptococcus pneumoniae as the etiologic agent.

Conclusions: The presented case shows a rare syndrome with a high risk of morbidity and mortality. Following the broad-spectrum treatment and intensive therapeutic support, the patient made unfavourable progress which raised differential diagnosis problems. In this case, the post-mortem diagnosis demonstrated multiple valvular lesions occurred as a result of endocarditis.
Testing for a Functional Form of Mean Regression in a Fully Parametric Environment
Authors: Anatolyev Stanislav 
Published: February 2018

Abstract
We develop a test for a restricted functional form of a mean regression when a complex distributional model for all variables is estimated. The test statistic is an average squared deviation from the estimated hypothesized function of the form implied by the estimated parametric model, and is asymptotically distributed as a mixture of χ
2 distributions. The test is easy to implement using numerical derivatives, and it performs well in samples of typical size. We illustrate the test using data on labor market characteristics of US young men.
Catastrophes and their Classifications: Revising New York City’s Hurricane Evacuation Maps after Irene and Sandy
Authors: Wilson Michael T. 
Published: February 2018

Abstract
Hurricanes are low-probability, high-consequence events that pose a challenge for disaster planning and management. In the United States, one of the primary ways of ensuring safety from these storms is evacuation. Changing population demographics, risk evaluations, and sociopolitical priorities necessitate occasional updates and revisions to evacuation maps. What are the political and ethical considerations of these map revisions for municipal officials and emergency management professionals? This paper develops an in-depth policy case study of the June 2013 revision of the NYC Emergency Management (formerly Office of Emergency Management or OEM) hurricane evacuation map after Irene and Sandy. By using interviews, document review, geospatial analysis, and process tracing, the research clarified the political narratives advanced upon the release of the new map. This paper finds the mayoral desire for evacuation flexibility, ethical obligation to vulnerable constituencies, and professionalism of the emergency management community drove this recent innovation in coastal storm emergency management. As the result of a long-term process initiated before the hurricanes, OEM’s incorporation of its historical flood experience and adaptation of federal modeling data to suit local social vulnerability planning could serve as a precedent for other municipalities facing similar, complex hazards at the urban scale.
Double taxation conventions in Romania Case: DSSs Râşnov vs. ANAf braşov
Authors: Dumiter Florin , Jimon Ștefania , Boiță Marius 
Published: February 2018

AbstractConventions to avoid double taxation are thepanaceaof tax law,lato sensu, and direct taxation,stricto sensu. Although the current network of double taxation conventions has over 2500 tax treaties concluded by the world’s states, there are still issues that need to be addressed in their application: the anti-abuse provisions to be found in conventions, the practices of the type treaty shopping, LOB clauses, use of arbitration in the application of double taxation avoidance conventions. The case of Romania is analyzed in this article, through the DSSs Râşnov cause vs. ANAF Brasov, in order to highlight the way in which the framework of the double taxation avoidance convention is applied in Romania, if there are differences and divergences between thede jureprovisions of the double taxation avoidance conventions and thede factoapplication, in practice, a state like Romania, which is in the process of catching up with economies in developed countries. The case presented in this article suggests that there is stillroom for maneuverto improve the framework for double taxation avoidance conventions in Romania and how they are applied in practice, which their provisions are interpreted and respected.