Miracle-dz/UniFAR-FTUs huggingface dataset:
Testing the existence of optical linear polarization in young brown dwarfs

Linear polarization can be used as a probe of the existence of atmospheric condensates in ultracool dwarfs. Models predict that the observed linear polarization increases with the degree of oblateness, which is inversely proportional to the surface gravity. We aimed to test the existence of optical linear polarization in a sample of bright young brown dwarfs, with spectral types between M6 and L2, observable from the Calar Alto Observatory, and cataloged previously as low gravity objects using spectroscopy. Linear polarimetric images were collected in I and R band using CAFOS at the 2.2-m telescope in Calar Alto Observatory (Spain). The flux ratio method was employed to determine the linear polarization degrees. With a confidence of 3σ , our data indicate that all targets have a linear polarimetry degree in average below 0.69 per cent in the I band, and below 1.0 per cent in the R band, at the time they were observed. We detected significant (i.e. P/σ ≥ 3) linear polarization for the young M6 dwarf 2MASS J04221413+1530525 in the R band, with a degree of p * = 0.81 ± 0.17 per cent.
A META-ANALYTIC INVESTIGATION OF THE RELATIONSHIP BETWEEN EMPLOYEE PERCEPTIONS OF HRM AND EMPLOYEE ATTITUDES AND BEHAVIORS

In the current stream of empirical research on employee perceptions of HRM a variety of concepts is used to measure how employees perceive HRM. The primary objective of this research is to examine which concept of employee perception has the highest effect on employee attitudes and employee behaviors. The secondary objective is to get a better understanding of the importance of the relationship between employee perception of HRM and employee attitudes and behaviors within the black box between HRM and organizational performance. A meta-analysis is executed to comply with these objectives. The results show no conclusive evidence which employee perception concept has the highest effect on employee attitudes and behaviors. The results show medium effect sizes between employee perception of HRM and employee attitudes, and show small effect sizes between employee perception of HRM and employee behaviors.
Che Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system

Virtual integration (VI) offers a way to make manufacturing systems more agile and competitive. VI integrates the production resources of many manufacturing systems (partners) efficiently, and that leads to a rapid response to market changes. Based on the VI concept these partners throughout the world will form a virtual enterprise (VE). Thus to select partners is the essential and the most important issue. The main objective of this paper is to develop a partner selection and productiondistribution planning with the novel partner selection model, based on the analytic hierarchy process (AHP) methodology, multi-attribute utility theory (MAUT) and integer programming (IP), for the VI with multiple criteria. The AHP and MAUT methods are use to assess and set weights for each partner candidate and the IP model applies these weights to find the optimal partners from the potential ones and provide the suitable production-distribution plan to the elective partners. Finally, a case study has been provided to substantiate a feasible quality solution of the proposed model.
Interactive comment on “Atmospheric particulate matter characterization by Fourier Transform Infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks” by

Takahama et al (2018), hereafter referred to as T2018 reviews methods used to determine quantitative measurements of OC/EC using FTIR spectroscopy on PTFE filter samples taken from sampling networks such as the Chemical Speciation Network (CSN) and the Interagency Monitoring of Protected Visual Environments (IMPROVE) network. The topic and scope of the article are very appropriate for AMT. There have
Dynamic Distributor Routing in Supply Chain Networks with Stochastic Travel Time

Minimizing the distribution time in supply chain networks is critical. By minimizing the total time of distribution in the network we can reduce the cost as well as decrease the product wastage for goods with fast approaching expiration date such as dairy products. In real-world the traveling time in supply chain network is not deterministic most of the time and uncertainties in the form of randomness are not avoidable. For this reason, for finding the optimal path of distributor vehicles in the distribution network that has the lowest travel time, a probabilistic dynamic optimization model has been used in this study and the results of a numerical example are discussed.
Species richness of marine soft sediments

Marine soft sediments comprise one of the largest and oldest habitats in the world, yet remarkably little is known about patterns of species richness. Here I present a short review of patterns of species richness and possible factors that influence such patterns. Species richness in general is remarkably high in both shallow coastal areas and the deep sea. However, there are clear differences-the deep-sea has higher number of species for a given number of individuals than the coast. This can be explained by the larger amounts of primary production that reach coastal compared with deep-sea sediments, leading to higher numbers of individuals per unit area. Species density (the number of species per unit area) is also higher in the deep-sea than in coastal areas, but it is not obvious why this is so. Most studies of the broad patterns of species richness have used samples taken at small scales only. The problem with such analyses is that unless a large number of samples are taken, the true underlying pattern (or lack of it) may be wrongly interpreted. Recent studies have analysed species richness at larger scales. In general there seems to be a cline of increasing species richness from the Arctic to the tropics, but this is not the case in the southern hemisphere, where Antarctic species richness is high. However, it is not known whether high species richness in the Antarctic occurs at all spatial scales. To what extent these patterns are determined by evolutionary factors remains to be determined by the application of molecular methods. The available evidence suggests that environmental factors such as productivity, temperature, and sediment grain-size diversity play dominant roles in determining patterns of regional-scale species richness and patterns in species turnover, and it is probably the regional scale that primarily determines local species richness.
Toward an old‐growth concept for grasslands, savannas, and woodlands

We expand the concept of “old growth” to encompass the distinct ecologies and conservation values of the world's ancient grass-dominated biomes. Biologically rich grasslands, savannas, and open-canopy woodlands suffer from an image problem among scientists, policy makers, land managers, and the general public, that fosters alarming rates of ecosystem destruction and degradation. These biomes have for too long been misrepresented as the result of deforestation followed by arrested succession. We now know that grassy biomes originated millions of years ago, long before humans began deforesting. We present a consensus view from diverse geographic regions on the ecological characteristics needed to identify old-growth grasslands and to distinguish them from recently formed anthropogenic vegetation. If widely adopted, the old-growth grassland concept has the potential to improve scientific understanding, conservation policies, and ecosystem management.
CALIBRATION AND EPIPOLAR GEOMETRY OF GENERIC HETEROGENOUS CAMERA SYSTEMS

The application of perspective camera systems in photogrammetry and computer vision is state of the art. In recent years nonperspective and especially omnidirectional camera systems were increasingly used in close-range photogrammetry tasks. In general perspective camera model, i. e. pinhole model, cannot be applied when using non-perspective camera systems. However, several camera models for different omnidirectional camera systems are proposed in literature. Using different types of cameras in a heterogeneous camera system may lead to an advantageous combination. The advantages of different camera systems, e. g. field of view and resolution, result in a new enhanced camera system. If these different kinds of cameras can be modeled, using a unified camera model, the total calibration process can be simplified. Sometimes it is not possible to give the specific camera model in advance. In these cases a generic approach is helpful. Furthermore, a simple stereo reconstruction becomes possible using a fisheye and a perspective camera for example. In this paper camera models for perspective, wide-angle and omnidirectional camera systems are evaluated. The crucial initialization of the model’s parameters is conducted using a generic method that is independent of the particular camera system. The accuracy of this generic camera calibration approach is evaluated by calibration of a dozen of real camera systems. It will be shown, that a unified method of modeling, parameter approximation and calibration of interior and exterior orientation can be applied to derive 3D object data.
METABOLIC RATE ESTIMATION IN THE CALCULA- TION OF THE PMV FOR CHILDREN

Metabolic rate (MET) mainly corresponds to the heat pro- duction of the human body which is used in the calculation of the Pre- dicted Mean Vote (PMV) of thermal sensation. Metabolic rates for various activities are tabulated in most of the commonly used stand- ards. However, existing tables for determination of metabolic rate are based on average adult values and do not specifically include values for children. Moreover, previous studies indicate poor agreement on the estimation of metabolic rate for children. Children's metabolism differs from that of adults, and this is not only limited to the relation between body surface area and estimated MET value. This implies that the influence of metabolic rate on the PMV calculation for chil- dren requires more research; also the way metabolism is included in the PMV equation may need to be changed for children. This study examines the metabolic rate of children during sedentary activity in the classroom and its influence on PMV-PPD predictions. Intervals of activity and resting metabolic rates (RMR) for children (10-12 years) are derived from the literature and PMV predictions are investigated based on application of these divergent RMR values both in a refer- ence thermal condition and through incorporating empirical data.
Polymorphism of IGF-1 Promoter and the UTR Regions of Nigerian Locally Adapted Chickens

Growth traits which are controlled by many genes are important economic traits in the poultry industry. The insulin-like growth factor gene ( IGF-I ) is a candidate gene for growth, body composition and metabolism, skeletal characteristics and growth of adipose tissue and fat deposition in chickens. The promoter and the untranslated region (UTR) of Insulin growth factor I gene was investigated to identify single nucleotide polymorphism, their genetic diversity and evolutionary relationship among six locally adapted strains of chicken in Nigerian. In this study, blood samples were collected and a specific primer pair was designed for amplifying a fragment of IGF-1 gene using polymerase chain reaction (PCR). The PCR products were sequenced while nucleotide sequences generated were edited and aligned using Mega v6.0 software. Nucleotide polymorphisms within each strain were detected using DNAsp v5 software. A total of eight SNPs were identified across the populations studied which were different already published SNPs associated with growth rate in chicken. Naked Neck chicken showed the highest genetic diversity from others with the highest number of polymorphic site, haplotype diversity and nucleotide diversity while the least were observed in Frizzle Feathered chicken. The phylogenic tree showed that small genetic differentiation exists among the chicken populations in this region. We reported the first genetic data from the promoter and the UTR regions of IGF-I gene in Nigerian native chickens and established baseline information regarding variation in insulin growth factor I which should inform continued investigations into production potentials of these chickens and formulation of appropriate selection and breeding programs Keywords: SNPs, Genetic diversity, IGF-1, Chicken
The Choice of Governance Modes in LSPs Foreign Operations

Different theoretical approaches have been used to understand why firms select or prefer one organizational arrangement to others in order to carry out their businesses. Transaction cost (TC), resource based (RB), and the “Nordic” paradigms offer different but somewhat complementary explanations to the problem (For a discussion of the rivalry and complementarities between theories see, for example, Conner and Prahalad, 1996; Foss, 1996; Williamson, 1998, 1999). These theories have been used in a wide range of empirical studies. Most of them have centred their attention on manufacturing firms (see for example Osland et al., 2001), and quite a few have focused on the service sector (Contractor and Kundu, 1998a). Almost no interest has been shown in the analysis of the factors affecting the LSPs selection of governance models to perform foreign operations.
Association of canopy temperature depression with yield of durum wheat genotypes under supplementary irrigated and rainfed conditions.

The objectives of this study were to evaluate the ability of five selection indices to assess drought tolerance of durum wheat genotypes under a variety of environmental conditions and the relationships of canopy temperature depression (CTD) with drought indices. Eight durum wheat genotypes were planted in the rainfed and supplementary irrigation conditions for two years (2007-2009). Five drought tolerance indices including stress susceptibility index (SSI), stress tolerance index (STI), tolerance index (TOL), mean productivity (MP) and geometric mean productivity (GMP) were calculated. Canopy temperature depression (CTD) was used to estimate crop yield and to rank genotypes. CTD was measured at three stages, from the emergence of fifty percent of inflorescence (Zadoks Growth Scale54) to watery ripe stage (ZGS71). The results showed that the average values of CTD in durum wheat genotypes changed from 3.3 to 5.7°C at the ZGS69 stage. Genotypes in this stage (ZGS69) had highly significant differences and average of CTD showed that durum wheat canopy was the largest value in all ZGSs under both conditions. The significant and positive correlation of YP, MP, GMP, SSI, STI and CTD showed that these indices were more effective in identifying high yield genotypes under both conditions. Results also showed that CTD has played an important role to search physiological basis of grain yield of wheat, and can be successfully used as a selection criterion in breeding programs.
Perceptions of South African managers’ emotional intelligence: A preliminary investigation

Emotional intelligence has become prominent within the management literature as an underlying attribute of effective leadership. The perceptions of 75 participants regarding their senior managers' emotional intelligence were investigated by using the 360-degree Emotional Competency Profiler (ECP) as a measure of emotional intelligence. The managers who were evaluated by the participants represented 24 South African companies. Results indicated that senior managers in the selected companies rated relatively higher on selfmotivation and self-esteem/self-regard than on self-management, integration of head and heart, change resilience and emotional literacy. The implications of the findings are discussed and recommendations for future research are made. This study makes an important contribution to the expanding body of knowledge concerned with the evaluation of attributes related to emotional intelligence that influence the performance of South African business leaders.
A Novel System Anomaly Prediction System Based on Belief Markov Model and Ensemble Classification

Computer systems are becoming extremely complex, while system anomalies dramatically influence the availability and usability of systems. Online anomaly prediction is an important approach to manage imminent anomalies, and the high accuracy relies on precise system monitoring data. However, precise monitoring data is not easily achievable because of widespread noise. In this paper, we present a method which integrates an improved Evidential Markov model and ensemble classification to predict anomaly for systems with noise. Traditional Markov models use explicit state boundaries to build the Markov chain and then make prediction of different measurement metrics. A Problem arises when data comes with noise because even slight oscillation around the true value will lead to very different predictions. Evidential Markov chain method is able to deal with noisy data but is not suitable in complex data stream scenario. The Belief Markov chain that we propose has extended Evidential Markov chain and can cope with noisy data stream. This study further applies ensemble classification to identify system anomaly based on the predicted metrics. Extensive experiments on anomaly data collected from 66 metrics in PlanetLab have confirmed that our approach can achieve high prediction accuracy and time efficiency.
Groundwater Level Prediction Using Support Vektor Machines and Autoregressive (AR) Modelss

Water resources managers can benefit from accurate prediction of the availability of groundwater. Ground water is a major source of water in Turkey for irrigation, water supply and industrial uses. The ground water level fluctuations depend on several factors such as rainfall, temperature, pumping etc. In this study, Hatay Amik Plain, Kumlu region was evaluated using Autoregressive (AR) and Support Vektor Machines (SVMs) methods. The monthly groundwater level was used the previous years data belonging to the Kumlu region. DOI: https://doi.org/10.3846/enviro.2017. 093
SCIENTIFIC PAPERS OF THE UNIVERSITY OF PARDUBICE Series A Faculty of Chemical Technology 22 (2016) ACTIVITY AND SELECTIVITY OF Mg-Fe MIXED OXIDES IN THE ALDOL CONDENSATION OF FURFURAL

Pitting corrosion is one of most serious electrochemical corrosion phenomena. It is very common corrosion failure of stainless steels in various chloride environments. Chlorides are aggressive ions, which penetrate through weakened places of surface protective passive film and cause its local breakdown [1-3]. It has been known that some non-aggressive inorganic anions (e.g. CrO4 2, MoO4 2, PO4 3, NO2 ) present in chloride solution play an important role in a passivation process. These anions act as anodic oxidizing inhibitors of the initial phase of pitting corrosion process by their adsorption on the metal surface [1, 4-6]. Many authors underline that a corrosion inhibitor acts effectively only above a certain concentration ratio of nonaggressive to aggressive anions. This relationship can be expressed as follows (1):
Cymbidium black rot caused by an aberrant strain of Phytophthora multivesiculata in Taiwan.

In 1996 and 1997, a severe outbreak of a disease on Cymbidium orchid (Cymbidium hybridium) occurred in a garden in I-Lan, Taiwan, with numerous plants showing black rot symptoms on leaves, pseudostems and roots and dying. A Phytophthora-like microorganism was constantly isolated from the diseased plants and two of the eleven isolates collected from this garden were used in this study. Inoculation tests were carried out using zoospore suspensions to fulfill Koch's postulates. Results showed that both isolates (P96013 and P96016) were pathogenic on C. hybridium with the same black rot symptoms as those developed on the naturally infected plants. The pathogenicity of these two Phytophthora-like isolates was confirmed as the organism reisolated from the inoculated plants was morphologically identical to the culture of the original inoculum. In addition to C. hybridium, the two Phytophthora-like isolates were also pathogenic on other Asian Cymbidium species, including C. ensifolium, C. sinense and C. rubrigemmum, causing black rot symptoms and death of plants. Both Phytophthora-like isolates were similar to Phytophthora multivesiculata in most of the morphological characteristics. However, they were different from P. multivesiculata in some features such as dimensions of sporangia, oogonia and oospores as well as maximum growth temperature. The ITS sequences of these two Phytophthora-like isolates were identical to that of P. multivesiculata. Based on the morphological characteristics and the molecular data, both Phytophthora-like isolates from C. hybridium were identified as an aberrant strain of Phytophthora multivesiculata. This is the first report of the aberrant strain of Phytophthora multivesiculata in Taiwan. Diseased orchid plants in the garden of Yuan-Shan, I-Lan county, were destroyed in 1998 and this aberrant strain of P. multivesiculata was not found in the survey of 1998 and 1999 in I-Lan county or any other orchid production areas of Taiwan.
Rainfall Effects on Pore Pressure Changes in a Coastal Slope of the Serra do Mar in Santa Catarina

This research aims to describe how rainfall can cause changes in the piezometric pore pressure and soil matric suction in a densely instrumented slope by the South BR-101 (Brazilian Numbered Highway), in the area of Morro do Boi, in the State of Santa Catarina, South Region of Brazil. The slope presented a history of instability movements instigated by intense rainfall, with debris accumulation on the highway and traffic interruption. The analyzed data are measured by six vibrating wire piezometers and eight electrical tensiometers attached to a datalogger, two conventional slope inclinometers and a rain gauge with an internal datalogger. A total of 2,552 readings corresponding to the vibrating wires and electrical resistance instruments, 29 inclinometers records and 7,143 rainfall records were collected over the first ten months of slope monitoring. The analysis results demonstrated that during the monitoring period there were no heavy rains. Three monitoring periods were identified by the frequency and intensity of rainfalls. The soil pore pressure monitoring instruments showed significant variations in the high frequency period and low intensity rainfall, and little variation in low frequency period and high intensity rainfall, which demonstrates greater runoff and little infiltration during the occurrence of more significant rainfall.
Extraction of vegetation for topographic mapping from full-waveform airborne laser scanning data

Most of the research using lidar on vegetation has focussed on deriving forest and single tree characteristics. Very few studies have looked at mapping vegetation, including low vegetation, for topographical mapping. The aim of this study was to evaluate the classification and extraction of vegetation characteristics for topographic mapping using full-waveform airborne laser scanning data. The laser data were captured at a height of approximately 950m above ground level providing a point density ranging from 0.5-0.8 points per m 2 . A subset of points representing the various surfaces – vegetation, roads and buildings – was extracted and analysed to identify surface attributes to be used for further analysis and classification. Vegetation was classified into three categories based on height from the ground. The training dataset comprised approximately 16000 points selected from one million data points. A Triangulated Irregular Network (TIN) was created from the elevation of the points. Classification was undertaken on the point cloud based on the local statistical variation of attributes of TIN triangles as well as attributes of the individual points. We show that a decision-tree classifier performs significantly better than k-means clustering based on the train-all-test-all accuracy. Future work will establish the accuracy of the classification of vegetation objects on untrained data.