Miracle-dz/UniFAR-FTUs huggingface dataset:
Why Has Labor Productivity Slowed Down in the Era of Financialization?: Insights from the Post-Keynesians for the European Union Countries

This article employs a panel data econometric approach in order to empirically ascertain the role of the phenomenon of financialization in the deceleration of labor productivity in the European Union countries from 1980 to 2019. During that time, the European Union countries suffered a huge structural transformation based on Reaganomics and Thatcherism and their financial systems have experienced strong liberalization and deregulation, which have contributed to poor evolution of labor productivity and have revived fears around a new “secular stagnation” in the era of financialization. Grounded in post-Keynesian literature, the slowdown of labor productivity in the majority of developed economies in the last decades cannot be separated from the phenomenon of financialization, which has occurred through four different channels, namely, weak economic performance, the decline in the labor income share, the increase in personal income inequality, and the strengthening of the degree of financialization and its corresponding harmful effects on innovation, research and development, technological progress, and productive investments performed by nonfinancial corporations. Our findings confirm that lagged labor productivity, economic performance, and labor income share have a positive impact on labor productivity in the European Union countries, while personal income inequality and the degree of financialization impact it negatively. Our findings also reveal that labor productivity in the European Union countries in the last decades would have grown more if there had been a stronger economic performance, a smaller decline (or even a rise) of the labor income share, a smaller increase (or even a decrease) of personal income inequality, and a weakening of the degree of financialization. JEL Classification: C23, E12, E24, and E44
A Comprehensive Decision Framework for Selecting Distribution Center Locations: A Hybrid Improved Fuzzy SWARA and Fuzzy CRADIS Approach

The focus of this study is on the significance of location in establishing distribution centers. The key question when selecting a location is regarding which location would contribute the most to the growth of a company’s business through the establishment of distribution centers. To answer this question, we conducted research in the Brčko District of BiH in order to determine the best location for a distribution center using expert decision-making based on linguistic values. In order to use these values when selecting locations, a fuzzy set was formed using the IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) and fuzzy CRADIS (Compromise Ranking of Alternatives from Distance to the Ideal Solution) methods. The IMF SWARA method was utilized to determine the weights of the criteria, and the fuzzy CRADIS method was employed to rank the locations based on expert ratings. The location for the construction of distribution centers at Bodarište was rated the worst, while the McGowern Base location was rated the best. Based on these findings, the research question was answered, and it was demonstrated that fuzzy methods could be utilized in the selection of distribution center locations. Hence, we recommend that future research be performed on the application of fuzzy methods in the expert selection of potential sites for distribution centers.
Explicit formula for the solution of the phaseless inverse scattering problem of imaging of nano structures

Abstract Imaging of nano structures is necessary for the quality control in their manufacturing. In the case when X-rays probe the medium, only the modulus of the complex valued scattered wave field can be measured. The phase cannot be measured. In the case of the Born approximation, we obtain an explicit reconstruction formula for the unknown coefficient from the phaseless scattering data.
Robust designs for binary data

This article is concerned with experimental design of statistical models for binary data. Since in most commonly used models for binary data, the information matrix depends on the unknown parameters, the standard optimality criteria used in regression cannot be used. What is typically done to avoid this problem is to assume good initial parameter estimates. The main purpose of this article is to introduce a minimax procedure for obtaining designs that are robust to poor initial parameter estimates. The procedure yields designs with more design points, and larger spread, if precise knowledge of the parameters is unavailable. D-optimality, and Fieller and confidence intervals for the median response dose are used to construct optimality functions for the procedure.
Interventions to improve mentalization and reflective functioning: a scoping review

This scoping review explores research conducted between 2008 to 2019, that aims to understand the conceptual use of mentalization (M) and reflective functioning (RF) and explore possibilities for interventions that promote these skills. The review utilized the descriptors “reflective functioning OR mentalizing OR mentalization AND intervention”. Reviewed papers were written in English, Portuguese or Spanish
Dietary supplementation with vegetable oils with low n-6:n-3 polyunsaturated fatty acid ratios improves the intramuscular fat and fatty acid composition of growingfinishing pigs

This study investigated the effects of different n-6:n-3 polyunsaturated fatty acid (PUFA) ratios in pig diets using vegetable oil supplementation on growth performance, carcass characteristics, meat quality, and fatty acid composition in the longissimus dorsi muscle (LM) and subcutaneous adipose tissue (SAT) of pigs. Fiftyfour cross-bred growing pigs (Large White × Landrace × Duroc; 45.03 ± 1.72 kg) were randomly assigned to one of three isoenergetic diets: the 1) basal diet (control), 2) RAPO diet (diet supplemented with 4.5% rapeseed oil), and 3) MIXO diet (diet supplemented with 2.25% rapeseed oil and 2.25% linseed oil), with n-6:n-3 PUFA ratios of approximately 13:1, 7:1, and 2:1, respectively. The experiment lasted 42 days. The RAPO and MIXO diets did not affect the growth performance and carcass characteristics of pigs, while the content of low-density lipoprotein (LDL), triglycerides (TGs), and glucose (GLU) in the serum decreased substantially. Intramuscular fat (IMF) content increased by 19.25% and 20.11% in the LM of pigs fed the RAPO and MIXO diets, respectively, and lower cooking loss and drip loss of meat were observed only in pigs fed the MIXO diet. The RAPO and MIXO diets decreased the stearic acid and palmitoleic acid levels, increased the total PUFA levels (including those of α-linolenic and linoleic acid), and decreased the n-6:n-3 PUFA ratios in LM and SAT. However, the MIXO diet was more effective in improving the fatty acid composition. A mixed oil diet with an n6:n-3 PUFA ratio of 2:1 is an effective measure for improving meat quality.
Effect of microRNA, miR-215, on gene expression and metabolism of porcine intestinal epithelial cells

MiR-215 maintains a high level of expression in healthy pig intestine and is decreased in lesions or injuries. To clarify the influence of miR-215 on the porcine intestine, miR-215 mimic/inhibitor was transfected into the intestinal porcine epithelial cell line, J2 (IPEC-J2) to overexpress or suppress the expression of miR-215. The treated cells were subjected to various functional assays. The effect of miR-215 on global gene expression was detected using high-throughput sequencing on the BGISEQ500 platform; cell proliferation was evaluated using a Cell Counting Kit-8 (CCK-8); and the role of miR215 on cellular metabolism was tested using non-targeted metabonomics and liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis. Our results revealed that miR-215 promoted cell proliferation in IPEC-J2, up-regulated the expression of the ribosomal protein family, and downregulated the expression of oncogenesis-related genes and tumour-suppressor genes. Results of the RNA sequencing and the metabonomics detection reveal that miR-215 affects the PI3K-Akt signalling pathway. Our results contribute to further research on miR-215 in the regulation of barrier function and metabolism in the porcine intestine.
A flow in the depth of infinite annular cylindrical cavity

Abstract The paper describes an asymptotic flow of a viscous fluid in an infinite annular cylindrical cavity as the distance from the flow source tends to infinity. If the driving flow near the source is axisymmetric then the asymptotic pattern is cellular; otherwise it is typically not. Boundary conditions are derived to match the asymptotic axisymmetric flow with that near the source. For a narrow cavity, the asymptotic solutions for the axisymmetric and three-dimensional flows are obtained analytically. For any gap, the flow is described by a numerical solution of an eigenvalue problem. The least decaying mode corresponds to azimuthal wavenumber $m= 1$ .
The HPA Axis in the Pathogenesis and Treatment of Depressive Disorders: Integrating Clinical and Molecular Findings

Studies over the last forty years have demonstrated that hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis is one of the most consistent biological findings in major depression, but much of the mechanisms underlying this abnormality are still unclear. This review will elaborate on both the clinical and molecular role of the neuroendocrine stress system in depressive disorder and present some of the most recent findings that have shed light on the complex interface between environmental stressors, molecular mechanisms and clinical presentation. Further, psychopharmacological development have demonstrated both effects of conventional treatments on HPA functioning as well as of novel treatments targeting HPA functioning on clinical outcome.
A New Wide-field Infrared Survey Explorer Calibration of Stellar Mass

We derive new empirical scaling relations between Wide-field Infrared Survey Explorer (WISE) mid-IR (MIR) galaxy photometry and well-determined stellar masses from spectral energy distribution modeling of a suite of optical–infrared photometry provided by the Data Release 4 (DR4) Catalog of the GAMA-KiDS-VIKING survey of the southern G23 field. The MIR source extraction and characterization are drawn from the WISE Extended Source Catalogue and the archival ALLWISE catalog, combining both resolved and compact galaxies in the G23 sample to a redshift of 0.15. Three scaling relations are derived: W1 3.4 μm luminosity versus stellar mass, and WISE W1–W2, W1–W3 colors versus mass-to-light ratio (M/L, sensitive to a variety of galaxy types from passive to star-forming). For each galaxy in the sample, we then derive the combined stellar mass from these scaling relations, producing M ⋆ estimates with better than ∼25%–30% accuracy for galaxies with >109 M ⊙ and <40%–50% for lower-luminosity dwarf galaxies. We also provide simple prescriptions for rest-frame corrections and estimating stellar masses using only the W1 flux and the W1–W2 color, making stellar masses more accessible to users of the WISE data. Given a redshift or distance, these new scaling relations will enable stellar mass estimates for any galaxy in the sky detected by WISE with high fidelity across a range of M/L ratios.
Disentangling Stellar and Airglow Emission Lines from Hubble Space Telescope (HST) Cosmic Origins Spectrograph (COS) Spectra

H i Lyα (1215.67 Å) and the O i triplet (1302.17, 1304.86, and 1306.03 Å) are bright far-ultraviolet (FUV) emission lines that trace the stellar chromosphere. Observations of stellar Lyα and O i using the Hubble Space Telescope's (HST) most sensitive FUV spectrograph, the Cosmic Origins Spectrograph (COS), are contaminated with geocoronal emission, or airglow. This study demonstrates that airglow emission profiles as observed by COS are sufficiently stable to create airglow templates that can be reliably subtracted from the data, recovering the underlying stellar flux. We developed a graphical user interface to implement the airglow subtraction on a sample of 171 main-sequence F-, G-, K-, and M-type dwarfs from the COS data archive. Correlations between recovered stellar emission and measures of stellar activity were investigated. Several power-law relationships are presented for predicting the stellar Lyα and O i emission. The apparent brightness of the stellar emission relative to the airglow is a critical factor in the success or failure of an airglow subtraction. We developed a predictor for the success of an airglow subtraction using the signal-to-noise ratio of the nearby chromospheric emission line Si iii (1206.51 Å). The minimum attenuated Lyα flux that was successfully recovered is 1.39 × 10−14 erg cm−2 s−1, and we recommend this as a minimum flux for COS Lyα recoveries.
Fractal geometry and growth rate changes of cryogenic jets near the critical point

A high pressure chamber with a variety of ambient fluids is used into which pure I$. , He, and O2 fluids are injected. The effects of chamber pressure (density) ranging from the thermodynamic subcritical to supercritical values at a supercritical chamber temperature are observed by acquisition of shadow images from the injector exit region using a CCD camera illuminated by short-duration light pulses. At sufficiently low subcritical chamber pressures, the jet interface disturbances amplify and eventually break up downstream into irregularly-shaped small entities. Increasing the chamber pressure causes the formation of many small ligaments and droplets on the surface of the jet only within a narrow regime below the thermodynamic critical pressure of the injected fluid, resembling a second wind-induced liquid jet breakup. At even higher chamber pressures, near but below the critical pressure of the injectant, the expected transition into a full atomization regime to produce a liquid spray is inhibited due to sufficient reduction of both the surface tension and the heat of vaporization. The jet appearance changes abruptly at this pressure and resembles a turbulent gas jet injection for all higher chamber pressures. The jet initial growth rate is plotted together with available data on liquid fuel injection in diesel engine environments, and turbulent incompressible, supersonic, and variable-density jets and mixing layers. The resulting plot is unique on its own right. At nearand super-critical pressures, the present measurements agree well with theoretical growth rate equations proposed by Brown [l]/Papamoschou and Roshko (21 and Dimotakis [3] for incompressible but variable-density turbulent mixing layers. This constitutes the first quantitative evidence in support of qualitative observations that the jet appears to evolve into a gas-like behavior. The geometry of the jet interface has also been examined for the first time by fiactal analysis. The results clearly indicate a transition Ii-om a Euclidean to a fractal interface, with a tiactal dimension close to values measured for gaseous turbulent jets. This provides additional quantitative evidence for the hypothesis that the jet evolves into a gas-like behavior. Finally, an “intuitive/smart” equation is proposed that agrees well with the experimental growth rate data, based on a proposed physical mechanism and characteristic gasification times and interfacial bulge formation/separation times.
An introduction to Late Modern English

During the 1990s and the first decade of the twentieth century, Late Modern English received more attention than previously from language historians. This increased interest has yielded, among other things, studies on specific aspects of Late Modern English such as Beal (1999), edited works like Kytö, Rydén & Smitterberg (2006), and books offering a more comprehensive picture of the language of the Late Modern period or parts thereof, such as Bailey (1996), Romaine (1998) and Görlach (1999, 2001). In addition, the establishment of a conference series devoted to Late Modern English has both stimulated further research in the field and resulted in proceedings volumes containing focused studies, most recently Tieken-Boon van Ostade & van der Wurff (2009). As this scholarly interest has increased our knowledge of Late Modern English considerably, the appearance of textbooks that were devoted to the subject and could be used by undergraduates was a welcome twenty-first-century development. The first such book, Beal (2004), appeared a little more than half a decade ago (see Smitterberg 2006 for an assessment). Given that such publications are still scarce, there is a need for books like An introduction to Late Modern English, which can both give teachers more options regarding course literature and link teaching to recent findings in this dynamic area of research.1 Tieken-Boon van Ostade aims at showing ‘how existing resources – primary texts, background literature, empirical studies, electronic databases – can be used to learn more about the period, its people and their language’ (p. x). The Late Modern period itself is defined as covering the eighteenth and nineteenth centuries (p. ix). The author also mentions that she ‘will focus on the people of the age and their language’ and that her ‘account will draw upon insights from sociolinguistics’ (p. x). I shall therefore devote attention to how well the book meets this aim. However, since the title An introduction to Late Modern English implies that readers and teachers can expect the book also to contain a more general introduction to the period, I shall address its value from this perspective as well. As regards the structure of the book under review, chapter 1 sets the scene by providing a background to the Late Modern period; subsequent chapters address pronunciation, spelling, writers and vocabulary, grammar and grammar books, the role of social networks, and text types. I shall follow the same structure in this review and provide a selective summary and evaluation of each chapter
Exact t and F Tests for Analyzing Studies with Multiple Endpoints

SUMMARY The paper describes some methods of forming sum aggregates in multivariate analysis. These methods are useful for the statistical analysis of investigations with multiple endpoints. In particular, the sum statistics can be applied if differences between two or more populations have to be tested and a factorial structure of the means and covariances can be supposed. For this approach the calculation of principal components has great importance. The central mathematical problem is to construct statistics which permit exact t and F tests, i.e., tests keeping the error of first kind at the prescribed level. The paper is based on the theory of spherical matrix distributions treated extensively in the book by Fang and Zhang (1990, Generalized Multivariate Analysis). This paper refers to the problem of the analysis of high-dimensional observations which often occurs in clinical studies. We start from the proposal of O'Brien (1984) to use sum aggregates of the form P E Xi ~~~~~~~~~~~(1.1) i= i
On quantum codes obtained from cyclic codes over A2

In this paper, quantum codes from cyclic codes over A2 = F2 + uF2 + vF2 + uvF2, u2 = u, v2 = v, uv = vu, for arbitrary length n have been constructed. It is shown that if C is self orthogonal over A2, then so is Ψ(C), where Ψ is a Gray map. A necessary and sufficient condition for cyclic codes over A2 that contains its dual has also been given. Finally, the parameters of quantum error correcting codes are obtained from cyclic codes over A2.
Parallel Solution of Integral Equation-Based EM Problems in the Frequency Domain

algebra solutions august 2007 1 Engineering Mathematics Volume III (Linear Algebra and Vector Calculus) (For 1st Year, 2nd Semester of JNTU, Kakinada) Engineering Mathematics Advances in Cryptology CRYPTO 2007 27th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 19-23, 2007, Proceedings This volume constitutes the refereed proceedings of the 27th Annual International Cryptology Conference held in Santa Barbara, California, in August 2007. Thirty-three full papers are presented along with one important invited lecture. The papers address current foundational, theoretical, and research aspects of cryptology, cryptography, and cryptanalysis. In addition, readers will discover many advanced and emerging applications. Sparse Solutions of Underdetermined Linear Systems and Their Applications This textbook presents a special solution to underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called a sparse solution. Since underdetermined linear systems can be very different, the authors explain how to compute a sparse solution using many approaches. Sparse Solutions of Underdetermined Linear Systems and Their Applications contains 64 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval and provides a detailed explanation of these algorithms including derivations and convergence analysis. Exercises for each chapter help readers understand the material. This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdoctoral scholars will also find the book interesting and useful. Parallel Solution of Integral Equation-Based EM Problems in the Frequency Domain A step-by-step guide to parallelizing cem codes The future of computational electromagnetics is changing drastically as the new generation of computer chips evolves from single-core to multicore. The burden now falls on software programmers to revamp existing codes and add new functionality to enable computational codes to run efficiently on this new generation of multicore CPUs. In this book, you'll learn everything you need to know to deal with multi-core advances in chip design by employing highly efficient parallel electromagnetic code. Focusing only on the Method of Moments (MoM), the book covers: In-Core and Out-of-Core LU
Radio-frequency ablation versus hepatic surgery for the treatment of hepatocellular carcinoma: a systematic review and meta-analysis

Background Hepatocellular carcinoma (HCC) is the most common malignant tumor composed of cells resembling hepatocytes. It is the fourth most common cause of cancer-related death on earth. Treatment involves radio frequency ablation (RFA )or hepatic resection (HR) . This is a review & evaluation of evidence comparing either methods by using meta-analysis technique. Materials and methods We conducted a database search of the PUBMED, GOOGLE SCHOLAR, Cochrane, EMBASE etc. in which total of 36 observational studies and 3 RCTs following PRISMA guidelines till September 2020 and matching inclusion and exclusion criteria were collected. These studies include total 16,700 patients out of which 8565 were treated with RFA & 8135 with surgery. The following search strings were used: "RFA vs HR", "hepatocellular carcinoma treatment". The primary end point was overall survival rate in 3&5 years respectively, including hospital stay duration & local recurrence. RevMan 5.3 was used for appropriate statistical tests. Fixed and Random Effect Model Tests was used and p<0.05 was considered statistically significant. Results Meta-analysis showed that RFA was associated with significant decrease in the length of hospital stay for RCTs (SMD = -2.171 , CI = -2.381 to - 1.962 , p=<0.001) and non-RCTs ( SMD = -1.048 , CI = 1.492 to -0.937, p=<0.001) respectively. However, it was also associated with significant increase incidence of recurrence (RR = 1.749, 95% CI = 1.444 to 2.119, p=<0.001) and significantly poorer 3-year (RR = 0.850, 95% CI = 0.772 to 0.935, p=0.001); (RR = 0.941, 95%CI = 0.927 to 0.956, p=<0.001) survival chances for RCTs and non-RCTs respectively. 5-year survivability was (RR=0.856, 95% CI = 0.835 to 0.878, p=0.001). Conclusion: Although RFA was associated with decreased duration of hospital stay, it was associated with increased chances of recurrence compared to hepatic resection. 3-year survival rate was also poorer.