Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of annealing temperature on corrosion inhibition of Cu coated with Ni in NaCl solution

Copper substrates were coated with a 100 nm nickel thin film and post-annealed with a 300 sccm flow of nitrogen at different temperatures. The formation of nickel nitride is confirmed by x-ray diffraction analyses. Atomic force microscopy (AFM) results showed morphological changes by variation of the annealing temperature which is explained on the basis of physical processes (e.g., diffusion, penetration depth). The electrochemical behavior of the samples in 0.6 M NaCl solution was investigated by means of electrochemical impedance spectroscopy and polarization measurements. EIS data were confirmed by Kramers-Kronig transformations and by the fitting of these data with equivalent electrical circuits. Results showed that the 473 K sample has the highest corrosion inhibition efficiency ( ). This can be due to the large grain size, hence a lower number of grain boundaries and the lowest surface roughness and porosity of this sample.
A Parametric Model to Estimate Risk in a Fixed Income Portfolio

In this paper we propose a methodology that let us to calculate the variance and covariance matrix of a very large set of interest rate changes at a very low computational cost. The proposal uses the parametization of interest rates that underlies the model of Nelson and Siegel (1987) to estimate the yield curve. Starting with that model, we are able to obtain the variance-covariance matrix of a vector of k interest rates by estimating the variance of the principal components of the four parameters of the model. We used the methodology we propose to calculate risk in a fixed income portfolio, in particular to calculate Value at Risk (VaR). The results of the paper indicate that the application of our method to calculate VaR provides a precise measure of risk when compared to other parametric methods
Multi-objective optimization approach based on Minimum Population Search algorithm

Minimum Population Search is a recently developed metaheuristic for optimization of mono-objective continuous problems, which has proven to be a very effective optimizing large scale and multi-modal problems. One of its key characteristic is the ability to perform an efficient exploration of large dimensional spaces. We assume that this feature may prove useful when optimizing multi-objective problems, thus this paper presents a study of how it can be adapted to a multi-objective approach. We performed experiments and comparisons with five multi-objective selection processes and we test the effectiveness of Thresheld Convergence on this class of problems. Following this analysis we suggest a Multi-objective variant of the algorithm. The proposed algorithm is compared with multi-objective evolutionary algorithms IBEA, NSGA2 and SPEA2 on several well-known test problems. Subsequently, we present two hybrid approaches with the IBEA and NSGA-II, these hybrids allow to further improve the achieved results.
Uncertainty Analysis of SEBS Daily Evapotranspiration Estimation Input Parameters (SEBS)

Assessment of evapotranspiration is always a foremostelement in water resources management. The consistentassessment of daily evapotranspiration provisions decision makers to review the existing land use practices in terms of water management, while empowering them to recommendaccurate land use changes. Earth observation satellite sensors are used in conjunction with Surface Energy Balance (SEB) models to overcome difficulties in obtaining daily evapotranspiration quantities on a regional scale. SEB System (SEBS) is used to estimate daily evapotranspiration and anevaporative fraction over the Nile Delta along with data acquired by the Advance Along Track Scanning Radiometer (AATSR) and 15 in situ meteorological stations. The consequential maps and the following correlation analysis show resilient agreement, signifying SEBS’ applicability and accurateness in the estimation of daily evapotranspiration over agricultural areas. Sensitivity analysis evaluates the influences of the inputs to the total uncertainty in the analysis outcomes. SEBS inputs parameters are interconnected. Interconnections between different metrological features are anticipated, but the magnitude of the features sensitivity is uncertain. Seven different metrological features are involved in providing a comparative analysis of Gaussian process emulators for performing a global sensitivity analysis (GSA). Conclusionsconducted from the current work are anticipated to contribute decisively towards an inclusive SEBS inputs parameter assessment of its overall verification.
Encouraging Individuals to Go Green by Gamification: An Empirical Study

The quality of the environment is the main concern of the current world. For the improvement of environmental quality, individuals are suggested to perform proenvironmental behaviors. Gamifying information systems to encourage their users to do so is an emerging phenomenon showing its potential for environmental conservation. Contributing to the environment in interesting ways is the main idea of gamification which helps the system attract users. However, maintaining active user engagement within such a gamified system is difficult. To understand the mechanism of users’ continuous intention to use gamified information system for environmental protection, this research based on the theories of goal framing and gamification affordance to explain what factors influence user’ continuance to use intention and what roles the gamification design takes in the user interaction with the system. This study contributes to knowledge of research and practice regarding gamified information systems for environmental protection.
Trade Credit, Demand Shocks, and Liquidity Management

The provision of trade credit has been explained both by theories that focus on its role in contracting for transactions between firms and by theories that focus on the advantages of liquidity provision along the supply chain. To test these alternative explanations, we use the 2007-2009 financial crisis as a natural experiment setting and study liquidity provision between firms using a sample of firms with differential demand shocks. We measure differential demand by comparing firms that primarily supply to government customers with those that primarily supply to corporate customers. A difference-in-difference analysis shows little evidence that firms with relatively positive demand provide additional liquidity to their suppliers. Instead, these firms’ accounts payable increases in proportion to their raw material inventories, consistent with the theories of trade credit that stress its role in facilitating the transactions of goods. Moreover, high demand firms are likely to have a high opportunity cost of providing liquidity to their trade partners: They become more investment-constrained over the crisis and engage in more acquisition activities once the liquidity crunch dissipates. Thus, we expect trade credit to play a very minor part in the transmission of liquidity in general, and in particular, in periods of low macro-liquidity.
Interactive repair among English as a lingua franca speakers in academic settings

The paper presents the results of research which studies the use of English as a lingua franca in spoken academic discourse interactions, providing a deeper insight into the interactional practices utilized in the process of achieving the communicative purpose(s) of international university seminars. Drawing on audio-recorded data collected from English-taught seminars at the University of Ostrava and using conversation analytic procedures, the research explores the character and functions of interactive repair and its role in increasing mutual understanding and preventing communication breakdown in lingua franca academic talk. The article discusses strategies of providing language support and/or feedback to one’s communicative partners in negotiating both meaning and form of talk, and offers findings which portray ELF speakers as competent communicators adaptable to different sociopragmatic contexts.
The Moderating Effects of System Integration on Value Co-creation in Central-Satellite System of Taiwan

Nowadays, organizations are facing a very competitive business environment than before. In addition, the aspects of the strategic formulation process for the operations strategy is gradually changing from the competition focused on the collaboration viewpoint. Therefore, the type of competition is shifted to the supply chain level instead of the traditional firm level competition. Therefore, system integration between firms has been regarded as an effective strategy to achieve a firm’s competitive advantages. The purpose of this study is trying to discover the relationship which will stimulate firms to apply system integration between each other for better communication and cooperation with partners in the supply chain. Therefore, the study tries to find out the system integration moderates the relationship between relationship-specific social capital and value co-creation and also tested the relationship between value cocreation to firm performance. Study samples are selected from the firms of central-satellite development system (CSD) in Taiwan because the characteristics of Taiwan’s CSD include the short product life cycle, uncertainty of market demand and delivery on time, etc. The study results appeared system integration moderated the relationship among structural (information sharing), cognitive (shared valued) and value co-creation. Moreover, the value co-creation for firms from upper stream significantly influences supply chain performance for the firm performance of customer’s responses in the downstream of the supply chain. Theoretical contributions and managerial implications are also discussed providing several future research directions and suggestions for firms in the supply chain respectively.
Towards LLOD-based Language Contact Studies: A Case Study in Interoperability

We describe a methodological and technical framework for conducting qualitative and quantitative studies of linguistic research questions over diverse and heterogeneous data sources such as corpora and elicitations. We demonstrate how LLOD formalisms can be employed to develop extraction pipelines for features and linguistic examples from corpora and collections of interlinear glossed text, and furthermore, how SPARQL UPDATE can be employed (1) to normalize diverse data against a reference data model (here, POWLA), (2) to harmonize annotation vocabularies by reference to terminology repositories (here, OLiA), (3) to extract examples from these normalized data structures regardless of their origin, and (4) to implement this extraction routine in a tool-independent manner for different languages with different annotation schemes. We demonstrate our approach for language contact studies for genetically unrelated, but neighboring languages from the Caucasus area, Eastern Armenian and Georgian.
Understanding Nonbelievers’ Prejudice toward Ideological Opponents: The Role of Self-Expression Values and Other-Oriented Dispositions

ABSTRACT Research adopting the ideological-conflict hypothesis indicates that low religiosity, nonbelief, and antireligious sentiments predict prejudice toward ideological opponents. How to understand this, from an individual differences perspective, given that nonbelievers are typically open-minded and low in authoritarianism? We investigated, among 422 UK adults, social distance from antiliberals (antigay activists), fundamentalists, and religionists of major world religions (Catholicism, Islam, and Buddhism). Nonbelievers showed prejudice toward all religious targets – but not toward an ethnic outgroup (Chinese). Furthermore, antireligious sentiment implied (1) valuing rationality and, in turn, social distance from fundamentalists and (2) low empathy and low belief in the benevolence of others and the world and, in turn, social distance from religionists. Finally, (3) valuing liberty predicted social distance from antiliberals but failed to mediate the effect of antireligious sentiment. Though general processes (e.g., perceived threat) explain all prejudices, specific individual differences seem to distinguish nonbelievers’ and believers’ prejudice toward each other.
Revision 1 1 Equations of state , phase relations , and oxygen fugacity of the Ru-RuO 2 2 buffer at high pressures and temperatures 3

13 Experimental studies and measurements of inclusions in diamonds show that ferric iron 14 components are increasingly stabilized with depth in the mantle. To determine the 15 thermodynamic stability of such components their concentration needs to be measured at 16 known oxygen fugacities. The metal-oxide pair Ru and RuO2 is ideal as an internal oxygen 17 fugacity buffer in high pressure experiments. Both phases remain solid to high temperatures 18 and react minimally with silicates, only exchanging oxygen. To calculate oxygen fugacities at 19 high pressure and temperature, however, requires information on the phase relations and 20 equation of state properties of the solid phases. 21 We have made in situ synchrotron X-ray diffraction measurements in a multianvil press on 22 mixtures of Ru and RuO2 to 19.4 GPa and 1473 K, with which we have determined phase 23 relations of the RuO2 phases and derived thermal equations of state (EoS) parameters for both 24 Ru and RuO2. Rutile-structured RuO2 was found to undergo two phase transformations, first 25 at approximately 7 GPa to an orthorhombic structure and then above 12 GPa to a cubic 26 structure. The phase boundary of the cubic phase was constrained for the first time at high 27 pressure and temperature. We have derived a continuous Gibbs free energy expression for the 28 tetragonal and orthorhombic phases of RuO2 by fitting the second-order phase transition 29
NUMERICAL SIMULATION OF 2D FLOW IN CARTESIAN GEOMETRY USING FINITE VOLUMES

In the present work the Large-eddy simulation (LES) methodology ha been applied for an analysis twodimensional flow in a Cartesian geometry that presents an expansion and one contraction. The study is accomplished through a named Fluids developed for incomprehensible flows of Newtonian fluids. The analysis has been done in a growing range of Reynolds numbers, in order to study development of the turbulent structures. The continuity and the Navier-Stokesequations were discretized by the Finite Volume Method. The couplement between velocity and pressure has been done by algorithm SIMPLEC and the QUICK-C was used for the treatment of the advective terms. The results were compared with results from the literature and they presented good agreement
Role of nitric oxide donors and red light irradiation on seed germination and endogenous hormones of lambsquarter (Chenopodium album L.)

Nitric oxide and red light are considered as effective signal substances for breaking seed dormancy in many plants. In this study, nitric oxide donors and red light were thus applied to seeds of lambsquarter (Chenopodium album L.), an important medicinal plant used frequently in traditional medicine, in order to evaluate their efficacy in breaking seed dormancy. It was observed that NO donors, especially nitrite acid (HNO2) and sodium nitroprusside (SNP) strongly promoted seed germination of lambsquarter. Under dark condition, 10mM HNO2 and 50-500μM SNP significantly increased germination. Germination percentage of seeds irradiated with red-light after 12 h of imbibitions in acidified nitrite (HNO2) was significantly higher when such seeds were treated with 1-10 mM HNO2 or 50-500 μM SNP as compared to control. In all instances synergistic application of chemicals and red-light greatly favored germination than single application of either NO donors or red light. No significant effect of potassium ferricyanide (Fe(III)CN) and potassium ferrocyanide (Fe(II)CN) on enhancing seed germination of C. album was observed. Bioactive gibberellins (GA1, GA3, GA4 and GA7) analysis of HNO2 imbibed seeds showed that application of 10 mM HNO2 and red-light to such seeds readily increased GA4 and GA7 levels as compared to GA1 and GA3 that were not significantly affected. The ABA content of seeds treated with HNO2 and red-light also significantly reduced as compared to non treated seeds. Media summary Present study suggests that HNO2 and SNP are the most effective NO donors responsible for breaking seed dormancy in lamdsquarter. GA4 and GA7 are main bioactive gibberellins involved in breaking seed dormancy, while HNO2 and red-light influenced seed dormancy by significantly reducing ABA content of seeds.
Keynes Meets Merton: Examining Risk and Return Relation Based on Fundamentals

Although the intertemporal risk-return relation should be positive theoretically, it is often documented to be weak and even negative empirically. More accurate measures for return and risk have been proposed as remedies to address this discrepancy. We find that those remedies are fragile with mixed results since they do not control for the non-fundamental component of returns, which is the key that drives the weak or negative relation between risk and return. Upon controlling for the non-fundamental component, those remedies are no longer fragile and the positive risk and return relation can be restored robustly.
Intellectual Property News and Informed Trading: Evidence from Patenting Activities

Using newly developed informed trading measures as well as updated patent-related data, we provide evidence that informed trading increases in the quarter during which firms are granted more, better-quality, and higher-valued patents. Patent news also predicts informed trading up to two quarters ahead, suggesting that it takes time for the stock market to fully reflect such information. Our results are robust to a series of tests. We find that the trading behavior of transient institutional investors is the main driver of the relations. In addition, we provide evidence that investors interpret patent-related news to a focal firm as bad news to its rival firms and trade their shares accordingly. But the cross-firm effects occur only in the current period. JEL Classification: G14, G12, O31
Robust Hi-C chromatin loop maps in human neurogenesis and brain tissues at high-resolution

Genome-wide mapping of chromatin interactions at high resolution remains experimentally and computationally challenging. Here we used a low-input “easy Hi-C” (eHi-C) protocol to map the 3D genome architecture in neurogenesis and brain tissues, and also developed an improved Hi-C bias-correction pipeline (HiCorr) enabling better identification of enhancer loops or aggregates at sub-TAD level. We compared ultra-deep 3D genome maps from 10 human tissue- or cell types, with a focus on stem cells and neural development. We found several large loci in skin-derived human iPSC lines showing recurrent 3D compartmental memory of somatic heterochromatin. Chromatin loop interactions, but not genome compartments, are hallmarks of neural differentiation. Interestingly, we observed many cell type- or differentiation-specific enhancer aggregates spanning large neighborhoods, supporting a phase-separation mechanism that stabilizes enhancer contacts during development. Finally, we demonstrated that chromatin loop outperforms eQTL in explaining neurological GWAS results, revealing a unique value of high-resolution 3D genome maps in elucidating the disease etiology. Highlights Low input “easy Hi-C” protocol compatible with 50-100K cells Improved Hi-C bias correction allows direct observation and accurate identification of sub-TAD chromatin loops and enhancer aggregates Recurrent architectural memory of somatic heterochromatin at compartment level in skin-derived hiPSCs Chromatin loop, but not genome compartment, marks neural differentiation Chromatin loop outperforms eQTL in defining brain GWAS target genes
A Theoretical Study of an Emulsion of High Viscosity Drops Under Shear

This paper shows the contribution of the deformation and orientation of high viscosity drops on the macrorheology of an emulsion. This emulsion undergoes an oscillatory shear flow and a small deformation theory is applied for studying its rheological behavior. The shape and the interfacial velocity of a stationary drop is used in order to obtain the contribution of the drop shape to the effective stress tensor of the emulsion. We have derived analytical results for slightly deformed drops in diluted emulsions at arbitrary shear-rates, which is particularly relevant for drops with viscosity ratios beyond the critical value of breakup in shear. Using our analysis we have explored the limiting high shear-rate rheology of diluted emulsions with high viscosity drops. Complex rheological features including: shear-thinning viscosities, normal stress differences, and a nonlinear frequency response are explored.
SAT-BASED BOUNDED MODEL CHECKING FOR TIMED INTERPRETED SYSTEMS AND THE RTECTLK PROPERTIES

We deﬁne an SAT-based bounded model checking (BMC) method for RTECTLK (the existential fragment of the real-time computation tree logic with knowledge) that is interpreted over timed models generated by timed interpreted systems. Speciﬁcally, we translate the model checking problem for RTECTLK to the model checking problem for a variant of branching temporal logic (called E y CTLK) interpreted over an abstract model, and we redeﬁne an SAT-based BMC technique for E y CTLK.
Convolution operators on intervals and their use in diffraction theory

In applications, the composition with differential operators is very important, then naturally considered in Sobolev spaces, Bessel potential spaces, etc. This leads us rapidly to distribution theory and the world of pseudo-differential operators, to admit an adequate generality of settings. However we shall consider in this article only convolution operators on intervals in spaces of Bessel potentials in order to demonstrate some new important aspects of their theory and use for applications in mathematical physics, explained in the context of certain diffraction problems.
AutoPOSE: Large-scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Orientation Baseline

: In computer vision research, public datasets are crucial to objectively assess new algorithms. By the wide use of deep learning methods to solve computer vision problems, large-scale datasets are indispensable for proper network training. Various driver-centered analysis depend on accurate head pose and gaze estimation. In this paper, we present a new large-scale dataset, AutoPOSE. The dataset provides ∼ 1 . 1M IR images taken from the dashboard view, and ∼ 315K from Kinect v2 (RGB, IR, Depth) taken from center mirror view. AutoPOSE’s ground truth -head orientation and position-was acquired with a sub-millimeter accurate motion capturing system. Moreover, we present a head orientation estimation baseline with a state-of-the-art method on our AutoPOSE dataset. We provide the dataset as a downloadable package from a public website.
Control of Cyber-Physical Production Systems: A Concept to Increase the Trustworthiness within Multi-Agent Systems with Distributed Ledger Technology

In the course of increasing the flexibility in the area of production, industrial enterprises have been presented with cyber-physical production systems (CPPS). Through the use of autonomously acting CPPS and CPPS components – which often receive multi-agent systems as their corresponding cyber parts – new challenges arise from the need for flexibility and interoperability on the one hand and consistency, trustworthiness as well as reliability of the systems and their components on the other. In order to meet these challenges, this research paper is dedicated to the creation of a technical concept for implementing distributed ledger technology production systems. The paper follows a design-science approach, which consist of analysis, design, and evaluation. The technical concept is based on the GAIA method, which aims to design multi-agent systems and specifically addresses the security and trustworthiness of CPPS-environments. The subsequent evaluation of the concept based on discussions with experts documents its relevance and potential.