Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of toxic nectar and pollen from Spathodea campanulata on the worker survival of Melipona fasciculata Smith and Melipona seminigra Friese, two Amazonian stingless bees (Hymenoptera: Apidae: Meliponini)

Spathodea campanulata is an African plant of African origin introduced in South America and other tropical and subtropical areas for ornamental purposes. This plant is related to insect mortality, bees included. However, its effects on the Neotropical Melipona are yet unknown. Thus, this study aimed to evaluate the effect of S. campanulata nectar and pollen on the survival of Melipona fasciculata and M. seminigra workers. A total of 120 newly emerged workers of each species were confined in boxes, without the presence of the queen, and divided in groups of 10 individuals. They were submitted to the following diets: S. campanulata nectar or 11% sucrose solution (nectar control); 11% sucrose solution and S. campanulata pollen or 11% sucrose solution and the species’ original pollen (pollen control). The higher mortality of workers was detected on the experimental groups, with toxics nectar and pollen ( M. fasciculata , p<0.01; M. seminigra , p<0.01) than on the respective controls. Our results point that nectar and pollen affected the survival of M. fasciculata and M. seminigra worker bees . Thus, S. campanulata is not a recommended plant to provide food resources for stingless bees.
Processing limitations in L2 fluency : Analysis of inaccuracies in lexical access

All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Processing limitations in L2 fluency : Analysis of inaccuracies in lexical access Olkkonen, Sanna
The Recommodification of European Labour: Theoretical and Empirical Explorations

During the last fifteen years European Union member states implemented extensive reforms in their social and labour market policies. The paper argues that these reforms aimed at, and resulted in, the intensification of commodification of European Labour by reducing the de-commodifying properties of policies that protected Labour in and out of the labour market. The paper sets to explore this process of recommodification both theoretically and empirically. Accordingly, the first part of the paper begins with a critical review of earlier attempts to conceptualise the processes of deand recommodification. An alternative conceptualisation is proposed, based on three fundamental principles. First, that the analytical division between labour market policies and social policies is artificial and to large extent unhelpful. Second, that both the (labour) market, and the policies that regulate and govern it, are instituted processes, structured and maintained by the state, and always-embedded in society. Third, that the continuous ‘constitution’ of the (labour) market in market societies is a power dynamic between social agents that unfolds in three interlinked dimensions; discursive, structural and relational. According to this power-theoretical conceptualisation, recommodification is a dynamic process involving the intensification of the commodification of Labour in and out of the labour market across these three dimensions. The second part of the paper sketches an empirical approach that identifies relevant trends. Discursively, during the period under investigation, the paper explores the gradual rise to dominance of the discursive repertoire of pro-market elites that framed social and labour market policies in ways that rendered this intensification both ‘necessary’ and desirable. Regarding the structural and relational dimensions the paper explores the changes in the institutionalised forms of Labour’s protection in and out of paid employment. This is achieved by the empirical exploration of variations between and within fourteen European Union member states vis-a-vis indices of protection in and out of paid employment; namely, an index of the strength of employment protection legislation and an index of the decommodifying potential of unemployment compensation policies. The results indicate that during the decade 1993-2003 the commodification of European Labour intensified, though with considerable degree of variation between the fourteen countries.
Export, Import, Economic Growth, and Carbon Emissions in Bangladesh: A Granger Causality Test under VAR (Restricted) Environment

Purpose: This paper examines the causal and cointegrating relationship between economic growth and CO2 emissions in a multivariate framework by including imports and exports as others control variables for an emerging economy like Bangladesh. Design/methodology: The paper applied vector error correction model (VECM) Granger casualty test for assessing the direction of causality and variance decomposition to explain the magnitude of the forecast error variance determined by the shocks to each of the explanatory variables over time. LB (Q-stat) test is to determine data properties and WILD test is to assess short run causality from independent variables to dependent variable. Findings: The study results revealed that variables are integrated in the same order. The results of Johansen Juselius cointegration tests indicate that there is a unique long-term or equilibrium relationship among variables. Again, Granger causality test revealed that short run unidirectional causality are running from carbon dioxide emission to exports, GDP to import, and from import to carbon dioxide emissions. Variance decomposition function shows that the positive shocks in error term will produce positive effects on all variables in the long run. Therefore, a concerted effort from all national and international stakeholders, i.e., enterprises, consumers, and governments are expected to take measures to offset carbon emission and pursue environment-friendly trade plan for better managing the cities and regions in order to fight against global warming and climate change risk.
Detecting asbestos fibres and cleavage fragments produced after mechanical tests on ophiolite rocks: clues for the asbestos hazard evaluation

The generation of particulate matter emitted by management of ophiolite rock volumes (e.g., mining, crushing, grinding, and milling) induces environmental impact due to production and dispersion of particles with fibrous habit and silica chemistry, which can be potentially classifiable as asbestos. In this view, linking the properties of the starting rock materials with the characteristics of particles generated after mechanical stress on rocks is preparatory for discussing the environmental impact due to the asbestos hazard. This study deals with the characteristics (in terms of size, morphology and mineral classification) of particles generated after application of three different mechanical stress procedures (i.e. crushing, micronizing, and abrasion) on five ophiolite lithotypes (i.e. rock sequences of mafic and ultramafic composition) and a synthetic material obtained from rock mixing. The combined use of electron transmission microscopy and particle size analyser has been performed on crushed particulate matter for identification of asbestos fibres. The asbestos hazard evaluation has been compared with the routine counting criteria. The results show that all the investigated lithotypes, independently of their petrographic characteristics, resulted able to spread out fibres into the environment after application of mechanical tests. Anyway, the counting criteria adopted for the fibre classification strongly affects the asbestos hazard evaluation. Presently, the procedures for differentiating asbestos fibres and cleavage fragments produced after mechanical tests led to divergent interpretations in assessing the potential environmental impact in natural sites.
DATA ASSIMILATION TO IMPROVE FORECAST QUALITY OF RIVER BASIN MODELS

Ideally, real-time flood management decisions must be based on an understanding of the uncertainties and associated risks. It is therefore central for effective flood management tools to provide reliable estimates of the forecast uncertainty. Only by quantifying the inherent uncertainties involved in flood forecasting can effective real-time flood management and warning be carried out. Forecast uncertainty requires the estimation of the uncertainties associated with both the hydrological model inputs (e.g. precipitation observations and forecasts), model structure, parameterisation and calibration, and methodologies that predict how the uncertainties from different sources propagate through the hydrological and hydraulic system. Within the EU 5th framework project FLOODRELIEF, an ensemble-based approach has been developed to address the issue of handling and quantifying forecasting and modelling uncertainties. A general stochastic framework for flood forecast modelling is presented based on the Ensemble Kalman Filter (Evensen, 1994). The Kalman filter provides a natural framework for determining how the different sources of uncertainty propagate through the hydrological and hydraulic models and to reduce forecast uncertainty via data assimilation of real-time observations. An evaluation of this framework is presented for several case studies including the US NWS study catchment, the Blue river basin and the Welland and Glen River Basin in the UK. Two methods for introducing uncertainties into the model are compared: 1. Stochastic errors are added to the runoff calculated by the catchment model. Only states in the river channel model are updated 2. Stochastic errors are added to the input to the catchment model (e.g. precipitation and evaporation). States in both the catchment model and in the river channel model are updated. In particular, an investigation of the value of these two approaches for rapidly responding river basins versus more slowly responding systems is presented. As expected it is observed that updating in both the catchment model and the river channel model has a longer lasting effect on the forecast than updating in the river channel alone. Finally the results of this evaluation highlight the fact that one of the major outstanding problems in estimating the forecast uncertainty is the characterisation of the sources of uncertainty. References: Evensen, G. (1994), Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, J. Geophysical Research, vol. 99, no. C5, pp. 10143-10162.
Preparation of Nanoporous Palladium by Dealloying: Anodic Polarization Behaviors of Pd-M (M=Fe, Co, Ni) Alloys

Anodic polarization behaviors of Pd-M (M = Fe, Co, Ni) alloys in H 2 SO 4 solution are investigated for the preparation of nanoporous palladium by dealloying. For Pd 0.2 Co 0.8 alloy, the current monotonically increased with the increase in potential. However, anodic polarization curves for Pd 0.2 Fe 0.8 and Pd 0.2 Ni 0.8 alloys showed passive regions at high potentials, although the standard electrode potentials for Fe, Co, Ni are similar. As a result, nanoporous Pd was successfully fabricated via electrolysis under a constant potential (= +0.5 V vs standard calomel electrode) only when the starting alloy was Pd-Co. Passivation, as well as standard electrode potentials, must be considered for the efficient production of nanoporous Pd. The preparation of nanoporous structure on the surface of bulk Pd was also demonstrated using alloying/dealloying process involving Co electrodeposition, thermal alloying and subsequent dealloying.
Dark matter from unification of color and baryon number

Author(s): Fornal, Bartosz; Tait, Tim MP | Abstract: We analyze a recently proposed extension of the Standard Model based on the SU(4) x SU(2)_L x U(1)_X gauge group, in which baryon number is interpreted as the fourth color and dark matter emerges as a neutral partner of the ordinary quarks under SU(4). We show that under well-motivated minimal flavor-violating assumptions the particle spectrum contains a heavy dark matter candidate which is dominantly the partner of the right-handed top quark. Assuming a standard cosmology, the correct thermal relic density through freeze-out is obtained for dark matter masses around 2 - 3 TeV. We examine the constraints and future prospects for direct and indirect searches for dark matter. We also briefly discuss the LHC phenomenology, which is rich in top quark signatures, and investigate the prospects for discovery at a 100 TeV hadron collider.
The Detection of Extremely High and Low Expressed Genes by EGEFAlgorithm in Invasive Breast Cancer

Invasive breast cancer is a heterogeneous disease. The analysis of one or a group of specific gene expression profiles may not be enough to understand molecular activities in cancer cells. Therefore, a method which gives us the opportunity to compare similar up and down regulated gene expression profiles, is needed. The main purpose of our work is to sort the extreme high and low expressed genes and extract, compare and cluster them. Expression profiles of 598 samples of invasive breast cancer and 48 samples of normal tissue have been analysed to create a new algorithm called Extreme Gene Expression Family (EGEF). The EGEF algorithm sorted, grouped and compared the highest and the lowest expressed genes (n = 100). According to the hierarchical clustering result, dense and light memberships of gene families are detected. The resulting analysis allows us to predict which genes would show similar expression signatures in invasive breast cancer and to us to recognize specific biological activities and processes. EGEF algorithm can be used to detect expression signatures in other cancers and biological processes.
DETECTING FORESTS DAMAGED BY PINE WILT DISEASE AT THE INDIVIDUAL TREE LEVEL USING AIRBORNE LASER DATA AND WORLDVIEW-2/3 IMAGES OVER TWO SEASONS

Abstract. Pine wilt disease is caused by the pine wood nematode (Bursaphelenchus xylophilus) and Japanese pine sawyer (Monochamus alternatus). This study attempted to detect damaged pine trees at different levels using a combination of airborne laser scanning (ALS) data and high-resolution space-borne images. A canopy height model with a resolution of 50 cm derived from the ALS data was used for the delineation of tree crowns using the Individual Tree Detection method. Two pan-sharpened images were established using the ortho-rectified images. Next, we analyzed two kinds of intensity-hue-saturation (IHS) images and 18 remote sensing indices (RSI) derived from the pan-sharpened images. The mean and standard deviation of the 2 IHS images, 18 RSI, and 8 bands of the WV-2 and WV-3 images were extracted for each tree crown and were used to classify tree crowns using a support vector machine classifier. Individual tree crowns were assigned to one of nine classes: bare ground, Larix kaempferi, Cryptomeria japonica, Chamaecyparis obtusa, broadleaved trees, healthy pines, and damaged pines at slight, moderate, and heavy levels. The accuracy of the classifications using the WV-2 images ranged from 76.5 to 99.6 %, with an overall accuracy of 98.5 %. However, the accuracy of the classifications using the WV-3 images ranged from 40.4 to 95.4 %, with an overall accuracy of 72 %, which suggests poorer accuracy compared to those classes derived from the WV-2 images. This is because the WV-3 images were acquired in October 2016 from an area with low sun, at a low altitude.
Deterministic prediction of sea waves-long crested sea

Faculty of Mathematics and Natural Sciences Master of Science Deterministic Prediction Of Sea Waves-Long Crested Sea by Abushet Simanesew The deterministic prediction of long crested sea waves has been investigated using linear and nonlinear propagation models. The linear model, derived from the linear wave theory, takes surface tension and viscous damping into account on arbitrarily deep water. The nonlinear model, derived from cubic Schrödinger equation, is implemented on deep water surface gravity waves. Experimental measurements of surface elevation have been used to initialize the simulation and control the accuracy of the prediction. Outliers and missing data are appropriately handled before doing any simulation. Comparisons between theoretically predicted and experimentally measured surface elevations are presented for different probe locations downstream of the wave tank. In the study, energy density is used as the norm to calculate the prediction error. The prediction error, both in space and space-time have been computed in each of the model used. The space-time prediction error is finally used as a basis to investigate the key parameter bounding the prediction region. Based on the results from the two models, group velocity corresponding to the peak spectrum is found to be the relevant parameter that bounds the prediction region.
Unobtrusively Measuring Stress and Workload of Knowledge Workers

Imagine a typical working day of a knowledge worker, i.e. someone who is predominantly concerned with interpreting and generating information. Bob gets into the office at 9, starts up his computer, takes a look at his mails and calendar and plans what things he has to do this day. Then he starts working on one of the important tasks that have to be completed this week. When an e-mail comes in, he quickly reads it. As it is not relevant to him, he continues his task. When a colleague drops by, Bob looks up and talks to him, which results in some more to-do’s for the day. As they are quite urgent, Bob decides to do them right away. After completion he switches back to his previous task and continues his working day. At 5 ‘o clock Bob notices that he has not completed all planned tasks yet and he feels somewhat stressed. He starts wondering where the time went and whether he should work overtime again to finish up. Bob and many other knowledge workers experience working days like this, with important tasks to complete, while interruptions cause task switches and unplanned things have to be handled. These people often experience stress building up, which in the worst case results in burn-out [1, 2]. To prevent this from happening, knowledge workers should become more aware of what makes them feel stressed and how they can handle or avoid that.
First records of polychaetes new to Egyptian Mediterranean waters

Abstract Nineteen benthic polychaete species were recorded for the first time in the intertidal zone of the Alexandria coast, south-eastern Mediterranean Sea. They belong to Syllidae (7 species), Hesionidae (3 species), Serpulidae (2 species) and 7 other families (one species each). Of these species Eunice miurai Carrera-Parra & Salazar-Vallejo 1998 appears to be new to the Mediterranean Sea, while four of the alien species earlier recorded in the Mediterranean were found for the first time in Egyptian waters: Opisthosyllis brunnea Langerhans 1879, Loimia medusa Savigny 1822, Syllis schulzi Hartmann-Schroder 1960, Phyllodoce longifrons Ben-Eliahu 1972. The newly recorded species demonstrated markedly different patterns of frequency of occurrence and numerical abundance. Spirobranchus triqueter Linnaeus 1758, S. schulzi, L. medusa and Salvatoria clavata Claparede 1863 were permanent and abundant species in fouling samples along the Alexandria coast. Saccocirrus papillocercus Bobretzky 1872 persisted in the sediments at two sites, with a much higher count at the stressed one, while Protodrilus sp. inhabited sediments at two other sites throughout the year, sometimes in very high numbers. In addition, the alien species found earlier, Brania arminii Langerhans 1881, Odontosyllis fulgurans Audouin & Milne-Edwards 1833 and O. brunnea Langerhans 1879, were frequently observed along the Alexandria coast.
STANDING HERBAGE BIOMASS UNDER DIFFERENT TREE SPECIES DISPERSED IN PASTURES OF CATTLE FARMS

The study conducted in a tropical dry ecosystem at Canas, Guanacaste, Costa Rica (10 o 11´ N and 84 o 15´W) measure the standing herbage biomass (SHB) availability and quality under six isolated tree species of different canopy architecture dispersed in active Brachiaria brizantha pastures and compare it to that growing at full sun light. Standing herbage biomass (HB) harvesting and Photosynthetic active radiation (PAR) readings were taken at three different periods in a paired sample scheme. Of the six tree species studied, Enterolobium cyclocarpum had the largest mean crown cover while Acrocomia aculeata had the smallest. Significant differences were observed between species (P = 0.0002) and seasons (P<0.008) for the percentage of PAR transmitted under the canopy but PAR levels obtained under all species were consistent throughout seasons since the interaction between species and season was not significantly different (P=0.98). Lower PAR readings (<50%) were taken under the canopies E. cyclocarpum and Guazuma ulmifolia (21.7 and 33.7 % respectively). Standing herbage biomass (SHB) harvested under the crown of isolated mature individual tree species was significantly lower (P<0.001) than in open pasture areas for all tree species except that of A. aculeate but SHB crude protein content, was higher underneath all tree canopies. It can conclude that light reduction caused by tree canopies reduces SHB availability and increases the quality underneath tree canopies compared to areas of full sun but these varies accordingly to tree species and seasons.
CORPORATE SOCIAL RESPONSIBILITY AND FINANCIAL PERFORMANCE: EVIDENCE FROM INDONESIAN BANKING SECTOR

Corporate social responsibility (CSR) has the potential to make positive contributions to the development of society and businesses. Organizations are beginning to see the benefits from setting up strategic CSR agendas. The increasing attention to CSR is based on its capability to influence firm’s long term performance, especially financial performance. There are more Indonesian companies participating in caring communities, and contributing to the community with specific actions to publicize their CSR related activities. Previous empirical studies have indicated an unclear relationship between CSR and financial performance. Most of studies focuses on manufacturing sector, whereas many industry have indirect relevancy with CSR, example banking sector. This study uses quantitative methods with positivism approach. Research objects were 15 banking companies listed at Indonesia Stock Exchange based on population criteria with observation period 2008-2011. This study uses secondary data derived from annual reports and financial statements. Data analysis uses Path Analysis. Research results show CSR affects on all financial performance measurement namely Return on Assets (ROA) and Return on Equity (ROE). These results reinforce the accumulating body of empirical support for the positive impact of CSR on financial performance. This research implication is banking companies need to increase quality of CSR, both from implementation dan information disclosure. This quality improvement provides an opportunity for company to increase its profits primarily from financial side. CSR is a long-term investment that can give an advantage if done consistently. CSR can be used to address interest conflicts among stakeholders so firm value will interact positively. Good financial performance also demonstrates good firm value.