Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of consensus research in literature concerning employee perceptions of HRM

Nowadays, employees’ perception of HRM is an often studied subject among scholars. Moreover, it is suggested that examining employees’ perception of HRM can increase understanding of employees’ behaviour in the organization. Both a non-critical orientation (consensus) and a critical orientation (dissensus) are used by scholars aiming to gain insight in the differences in HRM perceptions (Deetz, 1996). While consensus oriented articles are expected to produce results that build on existing research, it is believed that dissensus oriented papers produce new insights and alternative perspectives (Janssens & Steyaert, 2009). Although some research has been done on the ratio between consensus and dissensus papers, dissensus research might have increased after the rise of the research stream concerning employees’ perception of HRM in 2008 (Nishii, Lepak, & Schneider, 2008). It is believed that academic research contributes to the education of people working and/or interested in the HRM field because research is being taught at educational institutions and research is likely to be translated into policies and practices (Keegan & Boselie, 2006) . For this reason, it is valuable to gain more insight in which orientation is prevailing as the two approaches to research (consensus and dissensus) produce different results. The purpose of this study is to discover how contemporary HRM knowledge is constructed by examining the ratio between consensus and dissensus literature concerning employees’ perception of HRM. A framework developed by Deetz (1996) is used as a tool to analyze 85 articles in 14 journals from 2008 onwards. The results indicate a prevalence of consensus oriented articles.
EARLy PLEISTOCENE AGE OF FLUVIAL SEDIMENT IN THE STARá GARDA CAVE REVEALED By 26 Al / 10 Be BURIAL DATING : IMPLICATIONS FOR GEOMORPHIC EVOLUTION OF THE MALé KARPATy MTS

1 Department of Geology and Paleontology, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovičova 6, 842 15 Bratislava, Slovakia, e-mail: miso@equis.sk, lacny@fns.uniba. sk; 2 State Nature Conservancy of Slovak Republic, Little Carpathians Protected Landscape Area, Štúrova 115, 900 01, Modra, Slovakia 3 Aix-Marseille Université, CEREGE, CNRS UM 34, F-13545 Aix-en-Provence, France, e-mail: braucher@cerege.fr 4 Department of Organic Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovičova 6, 842 15 Bratislava, Slovakia, e-mai: magdolen@fns.uniba. sk 5 ASTER Team (Georges Aumaître, Didier Bourlès, Karim Keddadouche), Aix-Marseille Université, CEREGE, CNRS UM 34, F-13545 Aix-en-Provence, France. Received/Prejeto: 27.06. 2017 COBISS: 1.01
The Impact of Dropwindsonde Data on Typhoon Track Forecasts in DOTSTAR

Abstract Starting from 2003, a new typhoon surveillance program, Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR), was launched. During 2004, 10 missions for eight typhoons were conducted successfully with 155 dropwindsondes deployed. In this study, the impact of these dropwindsonde data on tropical cyclone track forecasts has been evaluated with five models (four operational and one research models). All models, except the Geophysical Fluid Dynamics Laboratory (GFDL) hurricane model, show the positive impact that the dropwindsonde data have on tropical cyclone track forecasts. During the first 72 h, the mean track error reductions in the National Centers for Environmental Prediction’s (NCEP) Global Forecast System (GFS), the Navy Operational Global Atmospheric Prediction System (NOGAPS) of the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and the Japanese Meteorological Agency (JMA) Global Spectral Model (GSM) are 14%, 14%, and 19%, respectively. The tra.
The Linkage between Outcome Differences in Cotton Production and Rural Roads Improvements - A Matching Approach

This paper tests the linkage between a binary treatment (rural road improvement project) and a continuous outcome (cotton productivity) in Zambia’s agro-based Eastern Province as measured by repeated cross-sections of farm-level data from the Zambian post-harvest survey (PHS). We use this PHS dataset, which covers the period from 1996/1997 to 2001/2002 across two phases, the pre-treatment phase (1996/1998) and the treatment phase when the Eastern Province Feeder Road Project (EPFRP) was being implemented (1998/2002). The identification strategy relies on the implementing of matching estimators for all three treatment parameters: Average Treatment Effect (ATE); Treatment on the Treated (TT) and Treatment on the Untreated (TUT), which is crucial in terms of policy relevance (Arcand, 2012). Matching ensures a sub-set of non-project areas that best represents the counterfactual and is done at the same geographic level of aggregation (van de Walle, 2009). Since treatment participation is not by random asignment we use the propensity score as a method to reduce the bias in the estimation of these treatment effects with observational PHS data sets in order to reduce the dimensionality of the matching problem. We find the ATT estimation results are not the same when implementing various matching using ‘the logarithm of (cotton) yield’ compared to using ‘cotton productivity’ as variable. In the latter case the following matching methods all have negative difference between treated and controls: 1-to-1 propensity score matching; k-nearest neighbours matching; radius matching; and 'spline-smoothing'. However, the Kernel matching has positive difference between treated and controls for the ‘productivity’ variable: Finally, some of the local linear regression and the Mahalanobis matching specifications yields positive difference between treated and controls for the ‘logyield’ variable, but not for the ‘productivity’ variable and not for all specifications either. Through our robustness checks of the Matching Assumpion and Sensitivity of Estimates we find that the matching doesn’t reduce the starting unbalancing. The comparison of the simulated ATT and the baseline ATT tells us that the latter is robust. We conclude that the application of various non-parametric matching methods didn’t enable us to identify a robust linkage, most likely due to the PHS data source and the evaluation design. Future rigorous rural roads impact evaluation requires panel (with pre-intervention) data for project and appropriate non-project areas, which allows for an evaluation design that combines a double difference (DID) with controls for initial conditions either through propensity score matching, regression controls or an IV (van de Walle, 2009). Regression discontinuity designs would offer an alternative method for impact evaluation (ADB, 2011; see Arcand, 2012).
Analysis of bioactive phytochemicals and evaluation of antioxidant activity of a medicinal plant, Boerhaavia diffusa L.

Boerhaavia diffusa L. (Family: Nyctaginaceae) commonly known as Punarnava is an herbaceous, spreading vine widely distributed in the tropical and subtropical regions in the world. The plants are a rich source of vitamins, minerals, protein and carbohydrate. The present study was carried out to determine the concentration of some bioactive phytochemicals (ascorbic acid, carotenoids, total phenolics, protein and carbohydrate) and their antioxidant activity in punarnava. Results showed the values for ascorbic acid (16.75±1.72 and 18.86±1.12 mg/100g of Fresh Weight), carotenoids (1.36±0.10 and 1.98±0.11 ig/g of Fresh Weight), protein (122.975±6.27 and 134.45±6.23 mg/g of dry weight) and carbohydrate (56.67±5.77 and 60.11±5.23 mg/g of dry weight) for aqueous and methanolic of root extracts of B.diffusa respectively. Methanolic root extracts showed greater antioxidant activity than the aqueous extracts using DPPH method.
Cointegration and causality-in-mean and variance tests: Evidence of price discovery for Brazilian cross-listed stocks

The purpose of this study is to investigate the price discovery process of 24 cross-listed stocks of Brazilian companies simultaneously traded on BM&FBOVESPA and NYSE stock exchanges. Cointegration methods and tests for causality-in-mean and causality-in-variance between the prices of stock-ADR pairs were used. Results indicated the existence of cointegration for most stock-ADR pairs. In addition, short- term adjustments occurred in both markets. The causality-in-mean and causality-in- variance tests showed bicausal relationships between the prices.
Does Asymmetric Dependence Structure Matter? A Value-at-Risk View

To investigate the importance of asymmetric dependence structures for portfolio value-at-risk (VaR) and conditional VaR (CVaR) calculations, we introduce bivariate copula functions with two GJR-GARCH models as marginals. The results show that the copula models and the competing dynamic conditional correlation (DCC) model are valid for almost all two-asset portfolios with different weights. However, among models validated with standard procedures, copula models with asymmetric dependence structures can save capital charges for market risks and reduce potential loss compared with those with symmetric dependence structures and with the competing DCC model, implying that asymmetric dependence structures are of great importance in improving VaR and CVaR calculations not only from a statistical but also an economic perspective.
Evaluation of Stacking on Biomedical Data * Avaliação de Stacking em Dados Biomédicos

Objectives: Stacking is a well-known ensemble technique, but some of its aspects still need to be explored, e.g., there are few recommendations on which and how many algorithms should be used at level-0 or even which algorithm should be used to compose the level-1 meta-classifier. The literature indicates the meta-algorithm at level1 should be simple, and Naive Bayes has been typically used in these studies. Methods: In this work, we have analyzed stacking on biomedical datasets, using three different paradigms of machine learning algorithms to compose the meta-classifier. Results: The experiments indicate simple meta-algorithms do not provide good results. Conclusion: the meta-classifier must have a degree of complexity to provide a nice performance.
Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves

This paper presents the implementation of a system that deals with static friction (stiction) in electropneumatic control valves, one of the most common nonlinearities that causes problems such as limit cycles and consequently wear of the valve and its moving parts, as well as losses in production and maintenance costs. This system is composed of a nonlinear predictive controller with adjustable constraints and an online database for estimation of the stiction parameters. The predictive controller uses constraints on the valve speed during its excursion, as well as constraints on the control signal to bring the valve to the desired position and slip it when necessary. The strategy adopted also showed robustness, being able to cope with changes in the spring and stiction parameters, which caused mismatch between the model and the controller and consequently loss of performance or even instability.
The Approximate Solution of Some Plane Boundary Value Problems of the Moment Theory of Elasticity

We consider a two-dimensional system of differential equations of the moment theory of elasticity. The general solution of this system is represented by two arbitrary harmonic functions and solution of the Helmholtz equation. Based on the general solution, an algorithm of constructing approximate solutions of boundary value problems is developed. Using the proposed method, the approximate solutions of some problems on stress concentration on the contours of holes are constructed. The values of stress concentration coefficients obtained in the case of moment elasticity and for the classical elastic medium are compared. In the final part of the paper, we construct the approximate solution of a nonlocal problem whose exact solution is already known and compare our approximate solution with the exact one. Supposedly, the proposed method makes it possible to construct approximate solutions of quite a wide class of boundary value problems.
Vertical Covariance Localization for Satellite Radiances in Ensemble Kalman Filters

Abstract A widely used observation space covariance localization method is shown to adversely affect satellite radiance assimilation in ensemble Kalman filters (EnKFs) when compared to model space covariance localization. The two principal problems are that distance and location are not well defined for integrated measurements, and that neighboring satellite channels typically have broad, overlapping weighting functions, which produce true, nonzero correlations that localization in radiance space can incorrectly eliminate. The limitations of the method are illustrated in a 1D conceptual model, consisting of three vertical levels and a two-channel satellite instrument. A more realistic 1D model is subsequently tested, using the 30 vertical levels from the Navy Operational Global Atmospheric Prediction System (NOGAPS), the Advanced Microwave Sounding Unit A (AMSU-A) weighting functions for channels 6–11, and the observation error variance and forecast error covariance from the NRL Atmospheric Variational Da.
Competition and Competition Policy in the Austrian Electricity Market. A Critical Review Four Years after Market Liberalisation

Electricity market liberalisation introduced in Austria four years ago initially brought the expected price reductions for both small and large users of electricity – but not more competition. Due to unresolved homemade structural problems, liberalisation has left incumbent electricity suppliers largely unchallenged in their comfortable position as local monopolists. Mergers of public utilities together with existing cross-shareholdings have contributed to a substantial increase of the market power of incumbents, thereby putting the economic benefits from market liberalisation seriously at risk. A programme to stimulate competition is recommended to accelerate the long-delayed legal "unbundling" and institute a thorough review of the strategic alliances in the Austrian electricity sector.
Screening and Production Optimization of a New Organic Solvent-Tolerance Fungal Lipase

A novel fungus which produced lipase extracellularly was isolated from soil. The strain was named after Candida tropicalis SD7 based on morphological f eatures and ITS1-5.8S-ITS4 region sequences of ribosomal RNA. The fermentation conditions were optimized in order to improve lipase production of the strain. The maximum lipase activity was achieved at 72h. The optimum lipase production was observed in the medium with glycerol as carbon source and peptone as nitrogen source through submerged fermentation at 30° C and initial pH 7.0. The lipase showed stability in the presence of hydrophobic organic solvents such as methylbenzene, petroleum ether, isooctane and n-hexane. It was moderately stable in polar solvents, including DMSO, acetone, acetonitrile and methanol.
An Amplified Self-Destructing Data System derived from Active Storage for Grid or Cloud Services

A B S T R A C T This paper describes a new self-destructing data system with an efficient load balancing mechanism so that it meets the challenges of privacy management in user data and also provides distributed load managing schemes in a distributed grid environment. To increase the user's data privacy an active storage framework of self-destructing data system is used. Without user intervention, all the data and their copies become destructed or unreadable after a user-specified time and the decryption key is also destructed. The load balancing mechanism called distributed load pairing technique has been used in the system to distribute the files as uniformly as possible among the distributed nodes such that no node manages an excessive number of files and to reduce network traffic by rebalancing the loads of nodes as much as possible. The uploading and downloading algorithms of distributed load pairing is explained and self- destructing data system uploading procedure has also been explained.
Query processor for the conceptual integration modeling framework

A data warehouse is a giant information pot made by integrating data from different data sources. Its schema can easily become complicated in order to hold all historical data. This complexity can confuse end users. The Conceptual Integration Modeling (CIM) framework was proposed to bridge the gap between users and the schema by adding a user-defined conceptual layer. This thesis aims to fulfill the query processor component in the CIM framework. Traditional query languages like SQL require a relatively tough learning curve, which is too dynamic for business users. Instead we propose a new CIM query language and a query interface to work with the visual representation of the CIM framework. This query interface only focuses on user needs and hides unnecessary implementation details to the back end. Thus, it is easy for business users to pose queries. In addition, we also do some optimization on the query processor by selecting views to materialize. Our proposed algorithm can achieve the lower performance bound of 46.7% of the optimal solution.
Using a cost–benefit approach to understand the evolution of self-fertilization in plants: the perplexing case of Aquilegia canadensis (Ranunculaceae)

Plants exhibit tremendous variation in whether mating occurs via self-fertilization versus outcrossing, and many species practice a mixture of both. In theory, the evolution of selfing is influenced by a few large costs and benefits, and the benefits of selfing should be balanced by its costs at equilibrium. We have attempted a cost‐benefit analysis of selfing, using population genetic surveys, experimental manipulations and quantitative genetics to a spring-flowering, short-lived perennial, Aquilegia canadensis . This species invests heavily in large, nectar-rich flowers but achieves full seed set in the absence of pollinators by automonous autogamy, and selfs 76% of its seed in natural populations. Floral emasculations reveal that 75% of selfing occurs via autogamy, which increases perflower seed production (reproductive assurance), but pre-empts ovules and resources that could be used to make outcrossed seed (seed discounting). This is costly because outcrossed progeny appear to survive to maturity 10-fold more often than selfed progeny. Almost all the apparent nonautogamous selfing involves cross-pollination between relatives (biparental inbreeding). This could facilitate the evolution of mixed mating, but not when inbreeding is so strong. Though selfing seems strongly disadvantageous, A. canadensis exhibits striking heritable variation in the separation between anthers and stigmas within flowers (herkogamy), which correlates negatively with selfing. This suggests that the mating system is at equilibrium. There is no applicable theoretical explanation for high selfing in the face of strong inbreeding depression, which occurs in a variety of plants. Understanding the evolution of these enigmatic mating systems remains a major challenge.
Observing an antisense drug complex in intact human cells by in-cell NMR

Gaining insight into the uptake of drugs into cells, trafficking and their target engagement enhances understanding of the drug’s function and efficiency. Here we study an antisense oligonucleotide drug (ASO) delivered into HEK293T and HeLa cells, by Nuclear Magnetic Resonance (NMR). Using a combination of transfection, cryoprotection and dynamic nuclear polarization (DNP), we were able to detect the drug directly in intact frozen cells. Activity of the drug was confirmed by qRT-PCR, measuring downregulation of its target mSTAT3. Applying DNP NMR to frozen cells, we overcome limitations of traditional solution-state in-cell NMR (e.g. size, stability and sensitivity) as well as of visualization techniques, where (e.g. fluorescent) tagging of the ASO decreases its activity. The possibility to study an untagged, active drug, interacting in its natural environment, will increase insights into molecular mechanisms of delivery, intracellular trafficking and target engagement in intact cells.
Video analysis : A qualitative tool for investigating students' learning in a constructivist-oriented multimedia in a science classroom

A new software package VideoSearch, a Macintosh multimedia research tool for analysing digital video was used to analyse classroom observations. VideoSearch can digitise video from a video cassette recorder or video camera and store it on a computer as a QuickTime movie. Texts can be attached to each instance within an episode and this text can be searched. Episodes in this movie can then be coded for analysis by means of user defined categories. Analyses of three types of episodes from video segments are presented and discussed in order to investigate students' learning. Episodes from video segments include students working in pairs conducting investigations based on an inquiry- based multimedia program, students presenting their experiences of their process of investigation and the researcher probing the students' reflections on their learning during an interview. An advantage of working with the digital video analysis is greater access to fuller context for qualitative data analyses. This allows for a better understanding of the social processes of students' learning. However, the time required and the level of intensive analysis may make it a difficult process to undertake.
Uncertainty assessment and implications for data acquisition in support of integrated hydrologic models

The data set used for calibration of regional numerical models which simulate groundwater flow and vadose zone processes is often dominated by head observations. It is to be expected therefore, that parameters describing vadose zone processes are poorly constrained. A number of studies on small spatial scales explored how additional data types used in calibration constrain vadose zone parameters or reduce predictive uncertainty. However, available studies focused on subsets of observation types and did not jointly account for different measurement accuracies or different hydrologic conditions. In this study, parameter identifiability and predictive uncertainty are quantified in simulation of a 1‐D vadose zone soil system driven by infiltration, evaporation and transpiration. The worth of different types of observation data (employed individually, in combination, and with different measurement accuracies) is evaluated by using a linear methodology and a nonlinear Pareto‐based methodology under different hydrological conditions. Our main conclusions are (1) Linear analysis provides valuable information on comparative parameter and predictive uncertainty reduction accrued through acquisition of different data types. Its use can be supplemented by nonlinear methods. (2) Measurements of water table elevation can support future water table predictions, even if such measurements inform the individual parameters of vadose zone models to only a small degree. (3) The benefits of including ET and soil moisture observations in the calibration data set are heavily dependent on depth to groundwater. (4) Measurements of groundwater levels, measurements of vadose ET or soil moisture poorly constrain regional groundwater system forcing functions.
Spermiogenesis and spermatozoa ultrastructure in the Serrasalminae (Ostariophysi: Characiformes) with further evidence on the relationships of the piranhas and pacus

Spermatozoa and spermiogenesis ultrastructure were studied in the serrasalmine species Piaractus mesopotamicus, Mylossoma duriventre, Serrasalmus maculatus, and Metynnis mola and two distinct patterns may be recognized: the first common to Mylossoma, Serrasalmus and Metynnis, and the other, characteristic of Piaractus. The latter pattern is more similar to the conditions found in Salminus and Brycon. On the other hand, serrasalmine spermatozoa also share characteristics with the spermatozoa of species of the superfamily Anostomoidea. The phylogenetic significance of these characters is discussed.