Miracle-dz/UniFAR-FTUs huggingface dataset:
Two-Sided Learning, Labor Turnover and Worker Displacement

We construct a general dynamic structural model of two-sided learning between a firm and its workers. We estimate an empirical version of the model using personnel data from Fokker Aircraft that cover the path of layoffs and quits through its bankruptcy. We find that the firm learns about its workers’ loyalty (demonstrating the role of information in repeated cooperative principal-agent relationships). There is no evidence that workers learn (consistent with earlier empirical results on American workers). The type of data that we use also generates information on the value of learning and on whether and how the characteristics of workers who remain until the firm’s death differ from those of all affected workers. It thus allows us to measure the increases in the firm’s value from learning about its workers’ behavior and to infer the extent of biases in estimated losses from displacement from samples restricted to displaced workers.
A Dictionary of Literary Symbols: Abbreviations

This is the first dictionary of symbols to be based on literature, rather than ‘‘universal” psychological archetypes or myths. It explains and illustrates the literary symbols that we all frequently encounter (such as swan, rose, moon gold), and gives hundreds of cross-references and quotations. The dictionary concentrates on English literature, but its entries range widely from the Bible and classical authors to the twentieth century, taking in American and European literatures. For this new edition, Michael Ferber has included over twenty completely new entries (including bear, holly, sunflower, and tower), and has added to many of the existing entries. Enlarged and enriched from the first edition, its informed style and rich references make this book an essential tool not only for literary and classical scholars, but for all students of literature.
Effect of Using Sesbania sesban and Its Mixtures with some Summer Fresh Grasses on Lambs Productive Performance in New Reclaimed Soil

The objective of this work was to study cultivation sesbania and its mixtures with sorghum or millet in reclaimed sandy soil, then utilization the green forages in feeding of growing lambs for 16 weeks in two stages (The 1 cut was fed in the 1 stage through the first 8 weeks and 2 cut was fed in the 2 stage through the last 8 weeks). Twenty four Ossimi lambs averaged 22.5 kg body weight were divided into four groups (6 in each) to evaluate the following rations: Ration A (control): 100% from requirements of CP according to NRC(1985) from Concentrate Feed Mixture (CFM) + Rice straw ad lib. , Ration B: 50% from requirements of CP according to NRC from CFM + Sesbania ad lib. , Ration C: 50% from requirements of CP according to NRC from CFM + Sesbania-Sorghum mixture (1:1) ad lib. and Ration D: 50% from requirements of CP according to NRC from CFM + Sesbania-Millet mixture (1:1) ad lib. Digestibility trials were conducted to evaluate the experimental rations using 12 rams (3 in each). The rumen parameters were measured and forage yield was determined. Results showed that DM and CF% were lower and CP% was higher in Sesbania than Sorghum, Millet, Sesbania-Sorghum mixture and Sesbania-Millet mixture. The differences among all rations in digestion coefficients of DM, OM, CP, NFE and TDN% of tested rations were not significant. The ruminal parameters explained that the pH of control was significantly higher than other groups at all times in 2 stage, while the differences among other groups were not significant. The differences of ammonia-N at 2hrs after feeding were not significant among groups, while ammonia-N of control was significantly higher than other groups at 4hrs, and the differences among other groups were not significant at the same time. The differences number of TVFA's among groups were not significant in 1 stage. The differences of protozoa at 4 hrs post feeding were not significant among all groups. The differences of microbial protein were not significant among all groups in the 1 stage. The highest cost value of feed consumption was recorded with control. The daily body gain(DBG) were 156.1, 150.3, 154 and 154.8 gm/h/d for lamb groups which fed rations A, B, C and D respectively and the differences of DBG among four groups were not significant. The best feed conversion and economical efficiency were recorded with ration D. The green forage yield of Sesbania pure, Sesbania-Sorghum mixture and Sesbania-Millet mixture were 10.85, 15.31 and 15.30 ton/feddan, dry yield were 2.22, 3.32 and 3.34 ton/feddan, and crude protein yield were 403, 451 and 478kg/feddan, respectively.
Feedback seeking from peers: A positive strategy for insecurely attached team-workers

Feedback inquiry is a proactive behaviour that is instrumental for gaining information about job performance. However, feedback inquiry also has a social component, especially in the context of flexible team-work environments. Feedback inquiry implies interacting with others, suggesting that relational considerations might affect whether individuals accept and apply feedback to improve their performance. Drawing on this relational perspective, we examined the role of attachment styles in employees’ peer-focused feedback inquiry, as well as the subsequent association of feedback inquiry with job performance. We proposed that individuals higher in attachment anxiety would be more inclined to engage in feedback inquiry from peers, whereas those higher in attachment avoidance would be less likely to do so. We also proposed that individuals higher in attachment anxiety would benefit more from feedback inquiry, such that the association between feedback inquiry and performance is stronger for these individuals. Results from multi-source data from 179 employees in a flexible team-work environment and up to three of their peers generally supported these hypotheses. This study broadened our understanding of the dispositional antecedents of feedback inquiry, and suggests a boundary condition for when such behaviour is associated with enhanced job performance.
LAB-SCALE INVESTIGATION OF MIDDLE-BOSNIA COALS TO ACHIEVE HIGH-EFFICIENT AND CLEAN COMBUSTION TECHNOLOGY

This paper describes full lab-scale investigation of Middle-Bosnia coals launched to support selection an appropriate combustion technology and to support opti- mization of the boiler design. Tested mix of Middle-Bosnia brown coals is pro- jected coal for new co-generation power plant Kakanj Unit 8 (300-450 MWe), EP B&H electricity utility. The basic coal blend consisting of the coals Ka- kanj:Breza:Zenica at approximate mass ratio of 70:20:10 is low grade brown coal with very high percentage of ash - over 40%. Testing that coal in circulated fluidized bed combustion technique, performed at Ruhr-University Bohum and Doosan Lentjes GmbH, has shown its inconveniency for fluidized bed combustion technology, primarily due to the agglomeration problems. Tests of these coals in PFC (pulverized fuel combustion) technology have been performed in referent laboratory at Faculty of Mechanical Engineering of Sarajevo University, on a lab-scale PFC furnace, to provide reliable data for further analysis. The PFC tests results are fitted well with previously obtained results of the burning similar Bosnian coal blends in the PFC dry bottom furnace technique. Combination of the coals shares, the process temperature and the air combustion distribution for the lowest NOx and SO2 emissions was found in this work, provided that combus- tion efficiency and CO emissions are within very strict criteria, considering spe- cific settlement of lab-scale furnace. Sustainability assessment based on calcula- tion economic and environmental indicators, in combination with Low Cost Planning method, is used for optimization the power plant design. The results of the full lab-scale investigation will help in selection optimal Boiler design, to achieve sustainable energy system with high-efficient and clean combustion tech- nology applied for given coals.
Hedonic Prices for Ski-Lift Passes in Europe

The knowledge of the monetary value of the different attributes a consumer receives when purchasing a ski-lift pass is of great importance for ski resort managers. In this article, the attribute values are calculated applying the hedonic price technique with a focus on a number of objectively measurable characteristics of n=255 ski resorts in Austria, France, Germany, Italy and Switzerland. To control for unobserved heterogeneity among the different countries, a fixed effects model for different ski-lift passes (adults and children; peak and low season) is used. Furthermore, a robust estimator of variance is used, and inference is drawn by bootstrapping.
An edaphological, morphological and climatic classification of freshwater forested wetlands from Chile

Humedales del mismo tipo pueden presentar diferencias considerables en relacion a una serie de variables ambientales que influyen en las propiedades fisicoquimicas y a su vez en las comunidades biologicas que sustentan. Sin embargo, en estudios comparativos, esta variabilidad natural es generalmente poco considerada. El objetivo de este trabajo fue realizar una primera aproximacion de una clasificacion edafologica, morfologica y climatica de los humedales boscosos de la zona central de Chile, ecosistemas unicos para la conservacion de una interesante diversidad de flora y fauna. Se clasificaron 18 humedales presentes en la region de la Araucania, mediante el procedimiento de clasificacion B de la Directiva Marco del Agua de la Union Europea, utilizando 21 variables a escala de cuenca. Se obtuvieron cuatro ecotipos, caracterizados principalmente por el microclima y tipo de suelo, aunque tambien fueron relevantes variables morfologicas, como la pendiente y la superficie de sus cuencas (Lambda de Wilks 3,84). Los ecotipos determinados estuvieron definidos por: 1) Convergencia de climas marino fresco, calido y mediterraneo frio, con suelo franco arcillo limoso y pendientes altas, 2) Clima marino fresco con suelo franco limoso y pendientes altas, 3) Clima mediterraneo frio con suelo franco limosos y pendientes bajas y 4) Clima marino fresco, suelo franco arcillo limoso y pendiente alta. La clasificacion debe ser posteriormente validada mediante observaciones in situ de variables limnologicas y biologicas.
Effect of emersion on soft-shell clam, Mya arenaria and the mussel, Mytilus edulis seeds in relation to development of vitality indices

Blue mussels (Mytilus edulis ) and soft-shell clams (Mya arenaria ) are both aquaculture species in east coast of Canada and US shellfish farmers take advantage of the byssal threads production of mussels for suspension culture and the burrowing behaviour of soft-shell clams for enhancement practices. It is important that these animals attach and burrow efficiently to minimize losses during rearing. The aim of this work was to study two potential vitality indices on mussels (23.6 ± 0.1 mm) and clams (22.6 ± 0.1 mm) seeds following various periods of emersion: attachment strength of Mytilus edulis and burrowing ability of Mya arenaria. The effect of emersion on energy content (proteins, lipids, glycogen) was also examined. We observed no significant decrease in the attachment strength of mussels after air exposure for 78 h or in the burrowing efficiency of soft-shell clams after 54 h. Air exposure had no effect on different lipid classes, proteins, or glycogen content in either mussel or clam tissues. The stressful emersion event induced in our study may not have been high enough to induce detectable behavioural responses. This can be explained by the bivalves’ ability to adapt their metabolism to minimize activity during air exposure. In doing so, they do not consume their energy reserves, which are then still available when specimens are reimmersed. Thus mussels are able to efficiently produce byssal threads and clams to burrow into sediments as soon as they are back in the water.
Insulin Sensitization and Resistance Interrelationship in a Prediabetic Rat: A Quantitative Molecular Model

Aims: To establish the insulin sensitization and resistance interrelationship through the quantitative modeling of number of insulin receptor molecules per molecule of insulin as response to plasma glucose levels. Methods: Fenugreek seeds (FGS) powder and its soluble dietary fiber (SDF) were fed through diet to 50 day old prediabetic obese rats (WNIN/GR-Ob) for nine weeks. Fasting plasma glucose (FPG), fasting plasma insulin (FPI) levels and number of erythrocyte insulin receptors (NO-EIR) were determined. Data were analyzed for a) homeostatic model assessment for insulin resistance (HOMA-IRS), b) total number of insulin molecules in the plasma, c) total NO- EIR in one ml of blood and d) ratio of NO-EIR per molecule of FPI. Results: The results showed a significant (p<0.05) reduction in FPG and the number of insulin molecules in plasma and a significant (p<0.05) increase in NO-EIR in one ml of blood of experimental rats compared to control rats. The NO-EIR per molecule of FPI was significantly (p<0.05) higher in all experimental rats ranging from 9 to 71 fold in males and 17 to 199 fold in females as comparison with control rats. Feeding of the SDF/FGS showed improved efficacy of insulin receptor molecules per molecule of insulin. Among them the NO-EIR per molecule of insulin was significantly (p<0.05) greater in rats fed with SDF in both the genders when compared to rats fed with FGS. This effect was seen in the HOMA–IRS levels. Conclusions: It appears that insulin sensitivity could be defined as molar ratio of available NO-EIR molecules per molecule of FPI. When the molar ratio of receptor per molecule of insulin was higher, the sensitization was greatest. If the number of insulin receptors per molecule of insulin is least, it is resistance. Obese rats fed with FGS/SDF showed improvement in plasma glucose levels by increasing the insulin sensitivity.
DECISION MAKING METHOD RELATING TO OUTSOURCING OF FINISHED GOODS STORAGE ACTIVITIES

In this study we elaborated variations for warehouse enlargement possibilities. Logistics indicators were determined which have effect on evaluation of warehousing activities. The calculated values were normalized and transformed for easier handling. The most effective variation can be defined by the application of multi objective optimization. The elaborated procedure can be also suitable for selection of best alternative of main variations.
Supplementary material to "The GESAMP atmospheric iron deposition model intercomparison study"

Abstract. This work reports on the current status of global modelling of iron (Fe) deposition fluxes and atmospheric concentrations and analyses of the differences between models, as well as between models and observations. A total of four global 3-D chemistry-transport (CTMs) and general circulation (GCMs) models have participated in this intercomparison, in the framework of the United Nations Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP) Working Group 38, The Atmospheric Input of Chemicals to the Ocean. The global total Fe (TFe) emissions strength in the models is equal to ~ 72 Tg-Fe yr−1 (38–134 Tg-Fe yr−1) from mineral dust sources and around 2.1 Tg-Fe yr−1 (1.8–2.7 Tg-Fe yr−1) from combustion processes (sum of anthropogenic combustion/biomass burning and wildfires). The mean global labile Fe (LFe) source strength in the models, considering both the primary emissions and the atmospheric processing, is calculated to be 0.7 (±0.3) Tg-Fe yr−1, accounting for mineral dust and combustion aerosols together. The multi model ensemble global TFe and LFe deposition fluxes into the global ocean are calculated to be ~ 15 Tg-Fe yr−1 and ~ 0.3 Tg-Fe yr−1, respectively. The model intercomparison analysis indicates that the representation of the atmospheric Fe cycle varies among models, in terms of both the magnitude of natural and combustion Fe emissions as well as the complexity of atmospheric processing parametrizations of Fe-containing aerosols. The model comparison with aerosol Fe observations over oceanic regions indicate that most models overestimate surface level TFe mass concentrations near the dust source regions and tend to underestimate the low concentrations observed in remote ocean regions. All models are able to simulate the tendency of higher Fe loading near and downwind from the dust source regions, with the mean normalized bias for the Northern Hemisphere (~ 14), larger than the Southern Hemisphere (~ 2.4) for the ensemble model mean. This model intercomparison and model–observation comparison study reveals two critical issues in LFe simulations that require further exploration: 1) the Fe-containing aerosol size distribution and 2) the relative contribution of dust and combustion sources of Fe to labile Fe in atmospheric aerosols over the remote oceanic regions.
Reasons for Low Part-Time Employment in Eastern Europe – Any Role for Low Wages?

Many Eastern European countries are characterized by high wage inequalities and a relatively low proportion of labour force being employed on a part-time basis, yet there seem not be so far made any studies on the part time pay penalty. In this article we analyse whether there are any differences in the average wages of part-time and full-time employed in Estonia, a small Eastern European catching up economy. We use Estonian Labour Force Survey data from years 1997-2007; the part time wage gap is estimated by using Oaxaca-Blinder wage decompositions and propensity score matching. The results are quite different for males and females. For females the raw wage gap is in favour of part-timers. After taking into account various worker characteristics, the wage gap becomes even larger. For males the full-time raw premium exists, but it is to a large extent explained by the different labour market characteristics.
Motor Behaviour Models for Human-Computer Interaction

The movement of body and limbs is inescapable in human-computer interaction (HCI). Whether browsing the web or intensively entering and editing text in a document, our arms, wrists, and fingers are at work on the keyboard, mouse, and desktop. Our head, neck, and eyes move about attending to feedback marking our progress. This chapter is motivated by the need to match the movement limits, capabilities, and potential of humans with input devices and interaction techniques on computing systems. Our focus is on models of human movement relevant to human-computer interaction. Some of the models discussed emerged from basic research in experimental psychology, whereas others emerged from, and were motivated by, the specific need in HCI to model the interaction between users and physical devices, such as mice and keyboards.
Tolerance to the herbicide clomazone and potential for changes of forest species

Clomazone has excelled among Brazilian non-target-site herbicides with high environmental impact. Its high solubility in water can result in leaching, contaminating groundwater and watercourses with possible riparian forest degradation. This situation can be mitigated by phytoremediation process. This study aimed to identify tree species tolerant to clomazone aiming to use them in bioremediation programs. Twelve forest species were evaluated: Inga marginata Willd, Handroanthus serratifolius (A.H. Gentry) S. Grose, Jacaranda puberula Chan, Cedrela fissilis Vell, Calophyllum brasiliense Cambess, Psidium myrsinoides Berg, Tibouchina granulosa Cogn, Caesalpinia ferrea Mart ex. Tul, Caesalpinia pluviosa DC, Terminalia argentea Mart & Zucc, Schinopsis brasiliensis Eng and Schizolobium parahyba (Vell). The statistical analysis was performed in a completely randomized block design with four replications. Three clomazone applications were made each 20 days (60, 80 and 100 days after planting); each application was equivalent to one-half of the recommended rate (2.0 L ha). The evaluated parameters were plant height, stem diameter, leaf number, leaf area and dry biomass. The forest species survived the clomazone application; and I. marginata, C. ferrea and S. brasiliensis showed increased tolerance to this herbicide, demonstrating potential for phytoremediation of areas contaminated by clomazone.
e-Me : the student’s best friend

In a pioneering research project an effort to elicit requirements of an electronic assistant has been made. An e-Me, that helps students in organizing their life. The vision is that the students should not need to go to the information the information rather comes to the students based on the active profile set by the student. This would include more or less complicated and integrated e-services for the students. The e-Me project is about exploring the concept of an electronic assistant as the next generation of platforms for people-centric (citizen-centric) e-services starting with students as one category of people. This exploration has been done in conceptual development (refinement of the vision), realization of the e-Me as an artifact, and in a phase of proof of concept involving several future users in the spirit of co-design. The line of action adopted in the e-Me project has been inspired of design science. The students, in their “business” and leisure environment, have been part in co-designing a future situation with an electronic assistant supporting them in the management of the lives as students.
Novel Side-Channel Attack Model for Cyber-Physical Additive Manufacturing Systems

Cyber-physical systems consists of tight integration of cyber and physical domain components. Due to this, they are prone to various cross-domain attacks. One form of such attacks can take place in the form of physical-to-cyber domain attacks, which can cause confidentiality breach of the system. This is due to the fact that some of the cyber-domain information manifest in terms of physical actions such as motion, temperature change, etc. These physical actions may unintentionally leak information about the cyber-domain through the side-channels. Up until now there has been no study highlighting how these form of cross-domain attack can affect the cyber-physical additive manufacturing systems. Hence, in this thesis we present the analysis of acoustic side-channel to demonstrate how it can be leverage to build novel attack model and breach the confidentiality of the additive manufacturing system (such as 3D printers). Side-channels such as acoustic, thermal, and power allow attackers to acquire the information without actually leveraging the vulnerability of the algorithms implemented in the system. In 3D printers, geometry,process, and machine information are the intellectual properties, which are stored in the cyber domain (G-code). We have designed an attack model that consists of digital signal processing, machine learning algorithms, and context-based post processing to steal the intellectual property by reconstructing the G-code and thus the test objects. We have successfully reconstructed various test objects with an average axis prediction accuracy of 78.35% and an average length prediction error of 17.82%.