Miracle-dz/UniFAR-FTUs huggingface dataset:
Framework of performance measurement system for Czech small breweries

In spite of increasing interest on performance measurement systems during last 30 years, there is not visible any significant deviation from widely used financial measures in Czech business environment. These are generally criticized on account of several reasons: lag information content, bad fitting with information age competition and difficult communication to employees. Shift from the financial perspective to the non-financial one within the performance management invoked genesis of different performance measurement systems. The aim of this paper was therefore to establish the status of current knowledge in the area of performance measurement systems for small and medium enterprise. This theoretical phase of the research was based on the study of up-to-date reviews and it focused on the description of the most recent performance measurement systems. Further after considering Czech business specifics suitable base for performance measurement system was chosen and the framework of whole performance measurement system not dissimilar to Balanced Scorecard was designed. After considering the circumstances of the micro-brewing segment in the Czech Republic this article resulted in designing an example system suitable for usage among Czech micro-breweries.
Effect of root exuded specific sugars on biological nitrogen fixation and growth promotion in rice (Oryza sativa).

Biological Nitrogen Fixation (BNF) is an energy involving process. A 15N tracer study was conducted under growth chamber and glasshouse conditions to determine the effect of glucose, galactose and arabinose (common sugars found in root environments) on BNF by two diazotrophs, Rhizobium sp. Sb16 and Corynebacterium sp. Sb26, previously isolated from rice genotypes (Mayang Segumpal and MR219). Diazotrophs have preferences for specific sugar utilization and plant association. Sb16 showed high preference for galactose, and Sb26 preferred arabinose. Application of 10 mM sugar in the experimental pot (5 kg soil), either galactose or arabinose, to the respective rice genotype enhanced diazotroph population growth, N2 fixation activity and simultaneously plant growth. Mayang inoculated with Sb16 applied with galactose increased plant N concentration 4.2 +/- 0.07 %, whereby, 42 +/- 1.06 % of the N was derived from the atmosphere. About 40 +/- 1.29 % of the N concentration of MR219 inoculated with Sb26 and arabinose was obtained from BNF. The association between Mayang with Sb16 increased 195 +/- 40 % of plant biomass as compared to control, and 36 +/- 19.8 % over 60 kg ha-1 of N-fertilizer. On the other hand, the association of MR219 with Sb26 resulted in 108 +/- 37.07 % biomass increment as compared to control, and 89 +/- 22.34 % over fertilized-N in different sugar treatments. The association between the plant-diazotrophs along with sugar significantly increased photosynthetic activity. The study indicated that growth and N2 fixation activity of rice can be increased by increasing the availability of specific sugars in the rhizosphere.
The Gender Wage Gap across the Wage Distribution in the Private and Public Sectors

This study examines gender wage differentials across the wage distribution in the Swedish private and public sectors using quantile regression. Women have lower wages than men across the entire wage distribution. The gender gap increases throughout the distribution and there is a speeding-up effect in the gender gap starting around the 75th percentile, especially in the public sector. Hence, there is evidence of a glass ceiling effect in both the private and public sectors in the Swedish labor market. Using OLS leads to an overestimation of the wage gap at the bottom of the wage distribution, and an underestimation at the top. By focusing only on the mean gender wage gaps, considerable variations in the gender wage gap pass unnoticed.
Distribution and population genetics of the threatened freshwater crayfish genus Tenuibranchiurus (Decapoda : Parastacidae)

Very high rates of extinction are recorded in freshwater ecosystems, with coastally distributed species threatened by urban development, pollution and climate change. One example, the world’s second smallest freshwater crayfish (genus Tenuibranchiurus), inhabits coastal swamps in central-eastern Australia. Although only one species is described (Tenuibranchiurus glypticus), it was expected that populations isolated through habitat fragmentation would be highly divergent. The aims of this study were to determine if populations of Tenuibranchiurus are genetically distinct, and if ancient divergence, as indicated in other species in the region, was evident. Tenuibranchiurus were collected at seven sites, extending the known geographical distribution ∼260 km south to Wooli, New South Wales. Analysis of two mitochondrial DNA gene regions indicated two highly divergent clades, with numerous additional subclades. Both clades and subclades were strongly congruent with geographical location, and were estimated to have diverged from each other during the Miocene or Pliocene era. Little sharing of haplotypes between subpopulations was evident, indicating negligible gene flow, and genetic differentiation between subclades possibly indicates distinct species. The coastal distribution of Tenuibranchiurus, severe habitat fragmentation and clear differences between subclades suggest that they should be recognised as evolutionarily significant units, and be treated as such if conservation and management initiatives are warranted.
The wealth effect of Japanese-US strategic alliances

This study investigates the wealth impact for Japanese and U.S. firms that announce non-equity strategic alliances. We find that, on average, both Japanese and U.S. shareholders benefit from the formation of international alliances. We also show that shareholder gains in these alliances are significantly larger for the partnering firms with a relatively small size, higher growth opportunities, or less profitability. Finally, we document that both Japanese and U.S. partnering firms display significant improvements in operating performance over the three-year period subsequent to the formation of international alliances.
A DUAL-MODE DUAL-BAND BANDPASS FILTER USING A SINGLE SLOT RING RESONATOR

A dual-mode dual-band bandpass filter is designed using a single stub-loaded slot ring resonator. This resonator is coupled to the two external feed lines at two positions spaced at 135◦ along the slot ring through a pair of microstrip-slotline T-junctions. With a proper choice of the degree of external coupling, the first-order degenerate modes are split to make up the first passband with two transmission poles. The second passband is realized by the second-order degenerate modes, which are stimulated by symmetrically attaching four identical stubs along the slotring. The center frequency ratio of the two operating passbands is controlled by the nature and strength of the external coupling, which is determined by the characteristics of the microstrip open-circuited stubs. Finally, a dualband filter with center frequencies at 2.4 and 5.2 GHz is designed and fabricated. Measured results verify the design principle and predicted dual-passband performance. Benefiting from an additional transmission zero brought by the transitions,the upper stopband is expanded up to 12.75 GHz with at least 13 dB of rejection. Received 15 April 2011, Accepted 5 May 2011, Scheduled 10 May 2011 Corresponding author: Sha Luo (luos0002@e.ntu.edu.sg). 174 Luo, Zhu, and Sun
Locations of accretion shocks around galaxy clusters and the ICM properties: insights from self-similar spherical collapse with arbitrary mass accretion rates

Accretion shocks around galaxy clusters mark the position where the infalling diffuse gas is significantly slowed down, heated up, and becomes a part of the intracluster medium (ICM). They play an important role in setting the ICM properties. Hydrodynamical simulations have found an intriguing result that the radial position of this accretion shock tracks closely the position of the `splashback radius' of the dark matter, despite the very different physical processes that gas and dark matter experience. Using the self-similar spherical collapse model for dark matter and gas, we find that an alignment between the two radii happens only for a gas with an adiabatic index of $\gamma \approx 5/3$ and for clusters with moderate mass accretion rates. In addition, we find that some observed ICM properties, such as the entropy slope and the effective polytropic index lying around $\sim 1.1-1.2$, are captured by the self-similar spherical collapse model, and are insensitive to the mass accretion history.
Boltzmann Machine and Hyperbolic Activation Function in Higher Order Network

For higher-order programming, higher-order network architecture is necessary to provide faster convergence rate, greater storage capacity, stronger approximation property, and higher fault tolerance than lower-order neural networks. Thus, the higher-order clauses for logic programming in Hopfield Networks have been considered in this paper. The goal is to perform logic programming based on the energy minimization scheme is to achieve the best global minimum. However, there is no guarantee to find the best minimum in the network. However, by using Boltzmann Machines and hyperbolic tangent activation function this problem can be overcome.
Morphology and 18S rDNA gene sequence of Spirostomum minus and Spirostomum teres (Ciliophora: Heterotrichea) from Rio de Janeiro, Brazil

Species of Spirostomum Ehrenberg, 1838 are widely used as model organisms in ecological studies of environmental impacts and symbioses between ciliates and human pathogenic bacteria. However, the taxonomy of this genus is confused by the superficiality of the morphological descriptions of its included species, and the use of only a few characters for their differentiation. The present study provides details of total infraciliature, nuclear apparatus, morphometric data and 18S rDNA gene sequences of Spirostomum teres Claparede & Lachmann, 1858 and Spirostomum minus Roux, 1901, isolated from a sewage treatment plant and a freshwater lake in the city of Rio de Janeiro, Brazil, respectively. For the morphological descriptions of S. teres and S. minus, living cells were observed using bright-field and differential interference contrast (DIC) microscopy, the total infraciliature and nuclear apparatus were revealed by staining with protargol, and ciliary patterns were observed also with scanning electron microscopy (SEM). The complete sequences of the 18S rDNA of S. teres and S. minus were obtained using eukaryotic universal primers, and then compared with sequences of other species and populations of Spirostomum deposited in the GenBank database. Living S. minus measured 400-800 µm in length and 55-115 µm in width, with the following characteristics: adoral zone of membranelles approximately 112 µm long; inconspicuous paroral kinety; 30-40 kineties in somatic ciliature; moniliform macronucleus with 9-25 nodes, approximately 12 micronuclei; single and posterior contractile vacuole; and yellow-brown cytoplasm. Living and fully extended S. teres measured approximately 250 µm in length and 65 im in width, with the following characteristics: adoral zone of membranelles approximately 92 µm long; approximately 30 somatic kineties; compact macronucleus, approximately five micronuclei; macronuclear groove present; single and posterior contractile vacuole; and colorless cytoplasm. Evidence from 18S rDNA sequences confirms the identification of S. teres and suggests the existence of cryptic species closely related to S. minus. The use of silver impregnation technique (protargol) allowed the observation and description of a greater number of characters in S. minus and S. teres, thus assisting the research that require identification of these species.
Double machine learning for treatment and causal parameters

Most modern supervised statistical/machine learning (ML) methods are explicitly designed to solve prediction problems very well. Achieving this goal does not imply that these methods automatically deliver good estimators of causal parameters. Examples of such parameters include individual regression coffiecients, average treatment e ffects, average lifts, and demand or supply elasticities. In fact, estimators of such causal parameters obtained via naively plugging ML estimators into estimating equations for such parameters can behave very poorly. For example, the resulting estimators may formally have inferior rates of convergence with respect to the sample size n caused by regularization bias. Fortunately, this regularization bias can be removed by solving auxiliary prediction problems via ML tools. Speci ficially, we can form an efficient score for the target low-dimensional parameter by combining auxiliary and main ML predictions. The efficient score may then be used to build an efficient estimator of the target parameter which typically will converge at the fastest possible 1/v n rate and be approximately unbiased and normal, allowing simple construction of valid con fidence intervals for parameters of interest. The resulting method thus could be called a "double ML" method because it relies on estimating primary and auxiliary predictive models. Such double ML estimators achieve the fastest rates of convergence and exhibit robust good behavior with respect to a broader class of probability distributions than naive "single" ML estimators. In order to avoid overfi tting, following [3], our construction also makes use of the K-fold sample splitting, which we call cross- fitting. The use of sample splitting allows us to use a very broad set of ML predictive methods in solving the auxiliary and main prediction problems, such as random forests, lasso, ridge, deep neural nets, boosted trees, as well as various hybrids and aggregates of these methods (e.g. a hybrid of a random forest and lasso). We illustrate the application of the general theory through application to the leading cases of estimation and inference on the main parameter in a partially linear regression model and estimation and inference on average treatment eff ects and average treatment e ffects on the treated under conditional random assignment of the treatment. These applications cover randomized control trials as a special case. We then use the methods in an empirical application which estimates the e ffect of 401(k) eligibility on accumulated financial assets.
A Revival of Large Farms in Eastern Europe- How Important are Institutions?

Contrary to expectations, large farms are still the dominant form of farm organization in most countries of the Commonwealth of Independent States and are important in some Central and Eastern countries. This paper analyzes the reasons for these failed expectations, focusing on the experience of Russia. The framework of institutional economics is applied to explain the reasons why the conventional approach, based on economies of scale and on-farm transaction costs, does not apply to the evolution of farm size in the east (and even the west). Specific institutions, which are partly embedded and informal, and legal, but loosely enforced, suppress the birth of family farms in Russia and stimulate the growth of large farms, leading to holdings that are not observed in developed market economies. Hence, survival and growth of large farms are not necessarily based on comparative advantage of these farm organizations in a market economy environment. Copyright 2005 International Association of Agricultural Economics.
A COMPARISON OF THE REISS PROFILE WITH THE NEO PI-R ASSESSMENT OF PERSONALITY

OF THESIS A COMPARISON OF THE REISS PROFILE WITH THE NEO PI-R ASSESSMENT OF PERSONALITY The purpose of this thesis was to determine whether the NEO Personality InventoryRevised (NEO PI-R) could account for significant variance within a measure of personality developed for the intellectually disabled (i.e., the Reiss Profile of Fundamental Motives), as well as to consider their comparative validity. The NEO PI-R and the Reiss Profile of Fundamental Motives were administered to 127 undergraduate students in conjunction with the Personality Research Form (PRF) and the Behavior Report Form (BRF). The NEO PI-R was able to account for a substantial amount of variance in the Reiss Profile scales, and the Reiss and the NEO accounted for approximately equivalent amounts of variance in the PRF and BRF. Implications for general personality research as well as additional research with a sample of adults with intellectual disability are discussed.
The "Intermediate Care Hospital": Facility Bed-Based Rehabilitation for Elderly Patients

Population aging and the growing burden of chronic disease are causing many countries to explore new options as they reorganize their health systems from acute care toward increased chronic care provision. There are several modalities to deliver recuperative intermediate care at a level between the hospital and primary care, but some patients will require a bed-based solution. For these individuals, inpatient non-acute facilities may provide superior outcomes at a lower cost than traditional care on a hospital ward. The international literature regarding this type of service reveals positive findings on provider and patient satisfaction, clinical outcomes, and cost-effectiveness. However, to achieve the best possible results, providers must establish and apply appropriate procedures for the identification of eligible patients, exercise rigorous protocols during their transfer, and ensure their comprehensive assessment and adhesion to a therapeutic plan managed by a multidisciplinary team. For developing countries considering the formulation of policies to promote the implementation of intermediate care facilities, Brazil's recent experience may offer a point of reference and some guidance, especially in terms of reconditioning small community hospitals with excess capacity for this purpose.
The Determinants of Success in Primary Education in Spain

This study reviews the recent literature on the economics of education, with a special focus on policy interventions. It also attempts to uncover the importance of school inputs, social environment and parental background on the outcomes of a standardized exam for all sixth grade students in the region of Madrid. We have data from all exam results from 2006 to 2009. These data can then be linked to individual level characteristics such as nationality, family type and parental education and profession. For public schools we also have school level data on variables such as number of students, teachers and their characteristics (type of contracts, experience), students’ nationalities, extra-curricular activities, and number of students needing special assistance.
A LOWER BOUND ON THE LENGTH OF BASIC MINIMAL 1-(3$t$+1,3) DESIGNS

In a previous paper the author found some minimal 1-(v,3) designs with large b, by exhaustive search. Here some further such are found, by more ad-hoc methods. A construction is given for v = 3t+1 for t ≥ 2, where b grows quadratically with v. AMS Subject Classification: 05B05
Heterostropha Species of the Turkish Coasts: Odostomiinae Pelseneer, 1928 (Gastropoda, Heterobranchia, Pyramidellidae)

The present paper deals with Odostomiinae species distributed along the Turkish coasts. The examination of a material sampled from different depths (0-875 m) and habitats between 1996 and 2011 resulted in identification of 20 Odostomia (O. acuta, O. angusta, O. barashi, O. carrozzai, O. conoidea, O. conspicua, O. erjaveciana, O. eulimoides, O. megerlei, O. kromi, O. improbabilis, O. lorioli, O. lukisii, O. plicata, O. scalaris, O. sicula, O. silesui, O. turriculata, O. turrita and O. unidentata), 2 Liostomia (L. afzelii and L. clavula) one Noemiamea (N. dolioliformis) and 5 Ondina (O. anceps, O. crystallina, O. diaphana, O. vitrea and O. warreni) species. Among the identified species, Odostomia silesui and Ondina anceps are new records for the eastern Mediterranean, Liostomia afzelii is new for the Levantine and Aegean Seas, Odostomia megerlei is new for the Levantine Sea, Odostomia angusta, O. barashi and O. lorioli are new for the Aegean Sea molluscan fauna, Odostomia carrozzai is new for the Turkish mollusc fauna, Odostomia unidentata is new for the Turkish Levantine and Aegean Seas, Liostomia clavula is new for the Turkish Levantine coast and 6 species (Odostomia conspicua, O. kromi, O. improbabilis, O. lukisii, O. turrita and Ondina diaphana) are new ones for the Turkish Aegean Sea fauna. Of the identified species, Odostomia conoidea is the most abundant and widely distributed species along the Turkish coasts, whereas Odostomia angusta, O. barashi, O. megerlei, Ondina anceps and O. crystallina are species with restricted distribution. Odostomia silesui is the deepest living Odostomiinae species. In the present study, some ecological and distributional features and taxonomic remarks, with colour photographs of the identified species, are given.
EXPLORING THE EFFECT OF ORGANIZATIONAL CULTURE, LEADERSHIP AND STRATEGY ON ORGANIZATIONAL EFFECTIVENESS WITH MEDIATING EFFECT OF KNOWLEDGE MANAGEMENT

The purpose of this paper is to explore the influence of organizational culture, leadership and strategy on organizational effectiveness. In addition, this study inspects the possible mediating role of knowledge management in the relationship between organizational culture, leadership, strategy, and organizational effectiveness. A survey was conducted of eight telecommunication companies located and operating in GCC countries. Structural equation modeling (SEM) was used to test the relationship among variables. The results suggest that knowledge management fully mediates the impact of organizational culture on organizational effectiveness, and partially mediates the impact of organizational leadership and strategy on organizational effectiveness. The findings carry theoretical implications for knowledge management literature as they extend the scope of research on knowledge management from examining a set of independent management practices to examining a system-wide mechanism that connects internal resources and competitive advantage.
Assessing the classification performance of the mean platelet volume (MPV) in a cardiovascular risk prediction model

The purpose of this study was to compare the properties of a number of novel and a traditional measure to evaluate the predictive performance of a new marker. For that purpose, we analyzed data, which contains age, gender, hypertension, hyperlipidemia, and smoking and total cholesterol/high density lipoprotein as the clinical risk factors for the initial model, obtained from 293 patients having a risk of coronary artery disease (CAD). Afterwards, the mean platelet volume (MPV) was added to this initial model as a new prognostic marker. The results showed that the addition of MPV improved the model performance; the AUC increased from 0.770 to 0.813 (p=0.011) Then, in order to assess the relative classification power of the MPV to predict CAD events, the data was analyzed by logistic models and risk reclassification indices such as net reclassification improvement index (NRI) and integrated discrimination improvement index (IDI). NRI was found to be 0.103 (p=0.004) and IDI was found to be 0.07 (p=0.003). As a result, the model including the mentioned clinical risk factors and the MPV performed better than that without MPV and also, the ratio of the correctly classified individuals after the addition of MPV increased more than the increase of the AUC.