Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of the Size and Value effect on the Stockholm Stock Exchange Are there pricing anomalies present on the Stockholm Stock Exchange ?

This thesis evaluates the financial performance of Swedish small cap stocks over the period 2000-2016. By applying CAPM and the Carhart four-factor model, we find no evidence for a size or a value effect. Furthermore, the results are inconsistent when conducting two-sided t-tests with Sharpe and Treynor ratios adjusted for asymmetrical return distributions. These findings strengthen our belief that the results in previous studies covering the same topic lack robustness. Finally, we find no evidence for the non-market risk to be attributed to any of the additional risk factors in the Carhart four-factor model.
A pr 2 01 9 Duality for pathwise superhedging in continuous time

We provide a model-free pricing-hedging duality in continuous time. For a frictionless market consisting of d risky assets with continuous price trajectories, we show that the purely analytic problem of finding the minimal superhedging price of a path dependent European option has the same value as the purely probabilistic problem of finding the supremum of the expectations of the option over all martingale measures. The superhedging problem is formulated with simple trading strategies, the claim is the limit inferior of continuous functions, which allows for upper and lower semi-continuous claims, and superhedging is required in the pathwise sense on a σ-compact sample space of price trajectories. If the sample space is stable under stopping, the probabilistic problem reduces to finding the supremum over all martingale measures with compact support. As an application of the general results we deduce dualities for Vovk’s outer measure and semi-static superhedging with finitely many securities. MSC 2010: 60G44, 91G20, 91B24.
- being and perceptions of the academic environment

using a person-centred approach. We also studied differences between profiles in terms of experienced well-being and perceptions of the learning environment. The participants of our study (n = 664) were PhD students from three faculties at the University of Helsinki, Finland. The Writing Process Questionnaire (Lonka et al., 2014) was used to measure writing conceptions and problematic writing. Well-being was measured by MED NORD, adapted to the doctoral context (Lonka et al., 2008; Stubb, Pyhältö & Lonka, 2011) and Perceptions of the learning environment, using specific items from Dahlin et al. (2005). PhD students with similar patterns of writing variables were identified through latent profile analysis (LPA). We conducted one-way ANOVAs to examine group differences with respect to well-being and perceptions of learning environment. We identified three writing profiles: Growth-Transforming (51%), Ambivalent (40%), and Fixed-Blocking (9%) groups. The Fixed-Blocking group reported a lack of interest the most often and also reported receiving the least feedback. The GrowthTransforming group was the most and the Fixed-Blocking group the least satisfied with their studies. It appeared that epistemic beliefs related to research writing were most decisive in differentiation among PhD students. Blocks were related to beliefs in innate ability. We concluded that although problems in writing are quite common, epistemic beliefs may be even more decisive in terms of successful research writing.
Effect of fenofibrate and aspirin on acute central serous chorioretinopathy

Background: Central serous chorioretinopathy (CSCR) may result in serous elevation of the retinal pigment epithelium (RPE) and/or detachment of the neural retina due to RPE barrier dysfunction. Fenofibrate acts as an efficacy medicine could improve the vision and symptoms of patients in patients with CSCR. In this study, we continue to define the effectiveness of this new treatment strategy by comparing the results obtained in patients treated with fenofibrate and aspirin with those in a historic control group consisting of patients with CSCR who were only taking fenofibrate. Methods: Totally 60 patients (60 eyes) with a history of acute CSCR on fenofibrate were randomized into two groups: A combination of fenofibrate (200 mg) and aspirin (100 mg) was used in group A, whereas in group B, only fenofibrate (200 mg) was administered. They were taken before meals half an hour and 1 times per day for 8 weeks. The change of the best corrected visual acuity (BCVA) and coherence tomography [including mean central subfield thickness (CST), mean subretinal fluid volumn (SFV), mean subretinal fluid vertical diameter (SFVD), mean subretinal fluid horizontal diameter (SFHD)] were observed at 1, 2, 4, 8 weeks before and after treatment. Results: After treatment, the average baseline BCVA (logMAR) was 0.34 and the average BCVA (logMAR) was 0.23 in Group A. In group B, the average baseline BCVA (logMAR) was 0.35 and the average BCVA (logMAR) was 0.28 at study completion. The differences of improved BCVA before and after treatment between the two groups were statistically significant (P<0.05). Besides, the CST, SFV, SFVD and SFHD significantly decreased 49.5%, 78.8%, 79.3%, 90.5% and had statistically significant at the fourth follow-up compared with baseline (= 0.031, = 0.014, = 0.022, and = 0.019, respectively) in group A. The CST, SFV, SFVD and SFHD significantly decreased 37.0%, 57.2%, 58.8%, 73.0% and had statistically significant at the fourth follow-up compared with baseline (= 0.046, = 0.036, = 0.049, and = 0.057, respectively). There were significant difference for the CST, SFV, SFVD and SFHD at the fourth follow-up in both groups (all P<0.05). Conclusion: Fenofibrate has more clinical efficacy in the treatment of patients with CSCR combined with asprin than fenofibrate only.
TheMacroeconomic Consequences of Remittances DennisW

This study examines the impact of a remittances shock on the main macroeconomic aggregates of a small open economy. It uses a stochastic limited participation model to generate dynamics that are consistent with the empirical literature, like the increase in inflation, consumption, and leisure. However, the remittances shock generates a prolonged decline in GDP, which only diminishes when remittances are a larger percentage of GDP, the fraction of remittances directed towards investment increases, or when the fraction of labor income that remittances represent is reduced and is overturned when the persistence of the remittances shocks is shortened.
CFD simulation of vortex flashing flows in convergent-divergent nozzles.

Vortex control is a novel two-phase convergent-divergent nozzle restrictiveness control mechanism by adjustable nozzle inlet vortex. It requires no change to the physical dimensions of the nozzle geometry. The control range of inlet pressures and mass flow rates that can be achieved by vortex control appears to be large enough to be suitable for numerous technical applications. This novel mechanism can potentially provide flow control with less sacrifice of nozzle efficiency, which is important in applications such as ejector cycles. It is also less vulnerable to clogging since the flow control is achieved without changing the flow area. However, the underlying mechanism behind the vortex control is still unclear. In this study, 3D CFD simulation of vortex flashing flows in convergent-divergent nozzles has been conducted in order to understand the vortex control effect. The simulation results show increase of nozzle restrictiveness after the application of inlet vortex and the predicted mass flow rates agree well with the experimental results under the same inlet and outlet conditions. More vapor has been generated in the divergent part of the nozzle after the inlet vortex is applied. Due to the much lower density of vapor compared to the liquid, when vortex is applied vapor bubbles are driven towards the nozzle center. Sensible heat of the liquid closer to the nozzle center can now be more utilized for bubble growth. It is believed that due to the more available liquid sensible heat, after the introduction of inlet vortex, vapor generation in the nozzle divergent part has thus been increased and flow control can be achieved.
Response to Associate Editor ’ s comments

In this paper we present the latest refinements brought to the DARDAR-CLOUD product, which contains ice cloud microphysical properties retrieved from the cloud radar and lidar measurements from the A-Train mission. Based on a large dataset of in-situ ice cloud measurements, the parameterizations used in the microphysical model of the algorithm – i.e. the normalized particle size distribution, the mass-size relationship, and the parameterization of the a priori of the normalized number concentration as a function of temperature – were assessed and refined to better fit the measurements, keeping the 5 same formalism as proposed in DARDAR basis papers. Additionally, in regions where lidar measurements are available, the lidar ratio retrieved for ice clouds is shown to be well constrained by the lidar-radar synergy. Using this information, the parameterization of the lidar ratio was also refined, and the new retrieval equals on average 35 sr +/10 sr in the temperature range between 60 C and 20 C. The impact of those changes on the retrieved ice cloud properties is presented in terms of IWC and effective radius. Overall, IWC values from the new DARDAR-CLOUD product are in average 16% smaller than the 10 previous version, leading to a 24% reduction in the ice water path. In parallel, the retrieved effective radii increase from 5% to 40%, depending on temperature and the availability of the instruments, with an average difference of +15%. Modifications of the microphysical model strongly affect the ice water content retrievals with differences that were found to range from -50% to +40%, depending on temperature and the availability of the instruments. The largest differences are found for the warmest temperatures (between 20 C and 0 C) in regions where the cloud microphysical processes are more complex and where 15 the retrieval is almost exclusively based on radar-only measurements. The new lidar ratio values lead to a reduction of IWC at cold temperatures, the difference between the two versions increasing from around 0% at 30 C to 70% below 80 C, whereas effective radii are not impacted.
Product Market Competition , Gross Profitability , and Cross Section of Expected Stock Returns

This paper investigates the interaction between product market competition and profitability on subsequent stock returns. We find that gross profitability premium, which is known as a compensation for risk embedded in firm’s expected cash flows, is higher among stocks operating in competitive industries than concentrated industries. Also, competition-return relation is higher among stocks with higher expected profits. Using a conventional double-sorting analysis and regression approach, we find supportive empirical evidence, and the results are robust to other potential factors determining expected stock returns. Furthermore, this difference in the gross profitability premium varying across product market competition is attributed to innovation risk. Empirically, the gross profitability premium among competitive industries is strongly related to the innovation premium. The overall empirical results emphasize the role of product market competition on dissecting the profitability premium and the cross section of expected stock returns.
A method of calibrating a camera

The invention relates to a method for calibrating a camera (10), wherein at least one calibration object (12) in at least one predetermined position relative to the camera (10) is moved, the position of the calibration object (12) and an orientation which calibration object that (10) occupies in the position are determined by means of a method of the theory of optimal experiments.
Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological Tagging

In this study, we present Morpheus, a joint contextual lemmatizer and morphological tagger. Morpheus is based on a neural sequential architecture where inputs are the characters of the surface words in a sentence and the outputs are the minimum edit operations between surface words and their lemmata as well as the morphological tags assigned to the words. The experiments on the datasets in nearly 100 languages provided by SigMorphon 2019 Shared Task 2 organizers show that the performance of Morpheus is comparable to the state-of-the-art system in terms of lemmatization. In morphological tagging, on the other hand, Morpheus significantly outperforms the SigMorphon baseline. In our experiments, we also show that the neural encoder-decoder architecture trained to predict the minimum edit operations can produce considerably better results than the architecture trained to predict the characters in lemmata directly as in previous studies. According to the SigMorphon 2019 Shared Task 2 results, Morpheus has placed 3rd in lemmatization and reached the 9th place in morphological tagging among all participant teams.
N T / 0 00 91 13 v 2 1 7 O ct 2 00 3 Apollonian Circle Packings : Number Theory

Apollonian circle packings arise by repeatedly filling the interstices between mutually tangent circles with further tangent circles. It is possible for every circle in such a packing to have integer radius of curvature, and we call such a packing an integral Apollonian circle packing. This paper studies number-theoretic properties of the set of integer curvatures appearing in such packings. Each Descartes quadruple of four tangent circles in the packing gives an integer solution to the Descartes equation, which relates the radii of curvature of four mutually tangent circles: x2 + y2 + z2 + w2 = 12(x + y + z + w) 2. Each integral Apollonian circle packing is classified by a certain root quadruple of integers that satisfies the Descartes equation, and that corresponds to a particular quadruple of circles appearing in the packing. We express the number of root quadruples with fixed minimal element −n as a class number, and give an exact formula for it. We study which integers occur in a given integer packing, and determine congruence restrictions which sometimes apply. We present evidence suggesting that the set of integer radii of curvatures that appear in an integral Apollonian circle packing has positive density, and in fact represents all sufficiently large integers not excluded by congruence conditions. Finally, we discuss asymptotic properties of the set of curvatures obtained as the packing is recursively constructed from a root quadruple.
Genotyping of breech flystrike resource – update

AWI invests in research, development, innovation and marketing activities along the global supply chain for Australian wool. AWI is grateful for its funding, which is primarily provided by Australian woolgrowers through a wool levy and by the Australian Government which provides a matching contribution for eligible R&D activities © 2019 Australian Wool Innovation Ltd. All rights reserved. Project No: ON-00515 Contract No: PO4500010753 AWI Project Manager: Bridget Peachey Contractor Name: CSIRO Agriculture and Food Prepared by: Dr Sonja Dominik Publication Date: July 2019
A monetary policy accordion : Why do central banks from different countries expand and contract together ?

During recent decades the monetary policies of central banks in emerging economies have shown significant co-movement mostly led by the policy changes of major countries such as the US. To understand this “monetary policy accordion” we develop a small open economy dynamic stochastic general equilibrium (DSGE) model that incorporates an agency problem in the banking sector. The home monetary policy is modelled as a standard inward looking Taylor rule. Our estimated model based on South Korean data suggests that the relationship between foreign and home monetary policies arises from the external terms of trade channel. A foreign interest rate shock influences the external terms of trade via the modified uncovered interest rate parity condition. The resulting fluctuations of the terms of trade impact home output and inflation via the expenditure switching effect, and as a result the home central bank adjusts interest rates according to the Taylor rule. The relationship between home and foreign rates becomes stronger when (a) the international assets transaction cost is lower, (b) openness of the home country is higher, (c) the home central bank is more aggressive in fighting inflation, (d) the home central bank’s policy rate smoothing parameter is lower, and (e) the banking friction in the home country is larger.
Modular forms and Quantum knot invariants

A modular form is an analytic object with intrinsic symmetric properties. They have enjoyed long and fruitful interactions with many areas in mathematics such as number theory, algebraic geometry, combinatorics and physics. Their Fourier coefficients contain a wealth of information, for example, about the number of points over the finite field of prime order of elliptic curves, K3 surfaces and Calabi-Yau threefolds. Most importantly, they were the key players in Wiles’ spectacular proof in 1994 of Fermat’s Last Theorem. Quantum knot invariants have their origin in the seminal work of two Fields medalists, Vaughn Jones in 1984 on von Neumann algebras and Edward Witten in 1988 on topological quantum field theory. The equivalence between vacuum expectation values of Wilson loops (in ChernSimons gauge theory) and knot polynomial invariants (for example, the Jones polynomial, HOMFLY polynomial and Kauffman polynomial) is a major source of inspiration for the development of new knot invariants via quantum groups. Over the past two decades, there have been many tantalizing interactions between quantum knot invariants and modular forms. For example, quantum invariants of 3-manifolds are typically functions that are defined only at roots of unity and one can ask whether they extend to holomorphic functions on the complex disk with interesting arithmetic properties. A first result in this direction was found in 1999 by Lawrence and Zagier [17] who showed that Ramanujan’s 5th order mock theta functions coincide asymptotically with Witten-Reshetikhin-Turaev (WRT) invariants of Poincaré homology spheres. More recently, Zagier has found experimental evidence of modularity properties of a new type for the Kashaev invariants of knots. This “modularity conjecture” implies one of the major outstanding open problems in this field, namely the Volume conjecture. This latter conjecture relates the value at e of the N th Kashaev invariant of a knot, or equivalently the
Antibacterial activity of copper nanoprticles and Watercress (Nasturtium officinale R. Br.) extracts

This study was aimed to detect the antibacterial activity of N. officinale leaves water and ethanol extract alone or mixed with a specific concentrations of copper nanoparticles (800mg/L). Studied Bacterial samples consist of two gram-positive bacteria (Escherichia coli and Pseudomonas aeruginosa) and two gram-negative bacteria (Staphylococcus aureus and Streptococcus pyogenes). Results showed that there was a significant increase in the mean inhibition zone at 1:1 (v/v) of 1.0mg/10ml copper nanoparticles and water leaves extract (J) and 1:1 (v/v) of 0.5mg/10ml mg/10ml copper nanoparticles and ethanol leaves extract (F) compared with 0.5mg/10ml leaves water extract (B) and 0.5mg/10ml leaves ethanol extract (C), but there was no significant differences obtained between the types of treatments and the standard antibiotic that used as control (250 mg/10ml Cefotaxime), the highest mean inhibition zone was recorded in Staphylococcus aureus bacteria compared with other bacterial species. The interaction revealed that the highest mean inhibition zone obtained in 1:1 (v/v) of 1.0mg/10ml copper nanoparticles and water leaves extract (J) in Staphylococcus aureus bacteria and the lowest mean inhibition zone observed in 1.0mg/10ml copper nanoparticles (I) in Pseudomonas aeruginosa bacteria while mean inhibition zone significantly increased in E. coli bacteria at 1:1 (v/v) of 0.5mg/10ml mg/10ml copper nanoparticles and ethanol leaves extract (F), 1:1 (v/v) of 1.0mg/10ml copper nanoparticles and water leaves extract (J), and 1:1 (v/v) of 1.0mg/10ml copper nanoparticles and ethanol leaves extract (K). No significant differences recorded in the mean inhibition zone of Pseudomonas aeruginosa and Staphylococcus aureus bacteria in various treatments. Asian Australas. J. Biosci. Biotechnol. 2016, 1 (3), 564-571
Global hydro-climatic biomes via mulit-task learning

The most widely-used global land cover and climate classifications are based on vegetation characteristics and/or climatic conditions derived from observational data. However, these classification schemes do not directly stem from the ::::::::::: characteristic interaction between the local climate and the biotic environment. In this work, we model the dynamic interplay between vegetation and local climate in order to delineate ecoregions that share a coherent response to hydro-climate variability. Our novel framework is based on a multi-task learning approach that discovers the spatial relationships among 5 different locations by learning a low-dimensional representation of predictive structures. This low-dimensional representation is combined with a clustering algorithm that yields a classification of biomes with coherent behaviour. Experimental results using global observation-based data sets indicate that, without the need to prescribe any land cover information, our method is able to identify :: the :::::::: identified : regions of coherent climate-vegetation interactions that agree well with the expectations derived from traditional global land cover maps. The resulting global ‘hydro-climatic biomes’ can be used to analyse the anomalous 10 behaviour of specific ecosystems in response to climate extremes and to benchmark climate-vegetation interactions in Earth system models.
Multiple Levels in Job Demands–Resources Theory: Implications for Employee Well-being and Performance

This chapter uses the most recent version of Job Demands–Resources (JD-R) theory to explain how working conditions influence employees, and how employees influence their own working conditions. We show how employee self-undermining activates a loss cycle of job demands, strain, and negative behaviors over time, whereas employee job crafting activates a gain cycle of job resources, work engagement, and positive behaviors. Moreover, we argue that employee well-being and organizational behavior is a function of factors located at different levels (i.e. organization, team, individual level), which influence each other within and over time. We propose cross-level interaction effects of organization-level initiatives and leader/employee behaviors on team and individual well-being and performance. Although JD-R theory provides answers to many questions regarding employee well-being and performance, we discuss several issues that deserve research attention. The chapter closes with practical implications. We discuss how managers and supervisors can help employees to avoid health problems and flourish at work.
Computer Science and Software Engineering

Network Security is the most vital component in information security because it is responsible for securing allinformation passed through networked computers. Network Security refers to all hardware and software functions,characteristics, features, operational procedures, accountability, measures, access control, and administrative andmanagement policy required to provide an acceptable level of protection for Hardware and Software , and information in anetwork. Only one particular element underlies many of the security mechanisms in use: Cryptographic techniques; henceour focus is on this area Cryptography. Cryptography is an emerging technology, which is important for network security.Research on cryptography is still in its developing stages and a considerable research effort is still required for securedcommunication