Miracle-dz/UniFAR-FTUs huggingface dataset:
Changing patterns in corporate financing and the main bank system in Japan

This paper is the final draft for the joint research project on the Japanese Main Bank System and its Relevance for Developing Market and Transforming Socialist Economies, undertaken under the auspices of the World Bank EDI Program for the Study of Japan's Development Management Experience, the Center on Japanese Economy and Business at Columbia University. This paper represents the views of the author and not those of the sponsoring institutions.
PHYSICOCHEMICAL PROPERTIES AND DISTRIBUTION OF NUTRIENTS ON THE INNER CONTINENTAL SHELF ADJACENT TO THE GULF OF MARANHÃO ( BRAZIL ) IN THE EQUATORIAL ATLANTIC

The dynamics of the physical and chemical factors that regulate oceanographic processes on the continental shelf off the state of Maranhão (northeastern Brazil) was evaluated using a transect along São Marcos Bay (01°41’S-02°28’S and 43°47’W-44°13’W) in January, March, May, July and September 2014, with a total of seven sampling stations. Water samples were collected from the surface using a Van Dorn water sampler. The following hydrochemical variables were analyzed: water transparency (m), temperature (°C), salinity, conductivity (mS cm1), total dissolved solids (TDS, g L), pH, dissolved oxygen (mg L), turbidity (NTU), total suspended solids (TSS) and dissolved nutrients (phosphate, nitrite and silicate). The relationship between these variables and seasonality in the region [rainy season (January to June) and dry season (July to December)] were also evaluated. For data with normality and equal variances, a one-way analysis of variance (ANOVA) was used for the spatial and temporal comparisons of the physicochemical variables. Results showed that the spatial and temporal variability of the physicochemical variables analyzed in this study is associated with local dynamics governed by river discharge, tidal movements, currents and meteorological events. The fluvial transport from the rivers of the state of Maranhão and other freshwater sources in the Amazon region are apparently the major contributors responsible for the maintenance of nutrient availability on the Maranhão continental shelf. Castro et al.: Physicochemical properties and distribution of nutrients on the Gulf of Maranhão 4830 APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH 16(4):4829-4847. http://www.aloki. hu ● ISSN 1589 1623 (Print) ● ISSN 1785 0037 (Online) DOI: http://dx.doi. org/10.15666/aeer/1604_48294847  2018, ALÖKI Kft. , Budapest, Hungary The present paper aims to broaden the knowledge of the spatial and temporal variability in the physicochemical variables in continental shelves and adjacent waters the coast of Maranhão (North Brazil).
Users' Opinions in Online Financial Community and Its Impact on the Market

Nowadays, more and more investors share their investment opinions through the online financial community. This paper discusses the impact of users' opinions in online financial community on the market. We develop CNN classifier to analyze the opinions of users' reviews in Chinese most popular online financial community and use distributed lag model to analyze the impact of user opinions on the market. Our results show that users' support tendency can predict market volatility and returns, but its impact to market returns is negative. We also find that the market has responded before the comments are posted, user/retail investor in online financial community might be affected by the past several days' market performance.
Mutual Coupling Effects for Radar Cross Section (RCS) of a Series-Fed Dipole Antenna Array

The estimation of RCS of a phased array depends on various parameters, namely, array geometry, operational frequency, feed network, mutual coupling between the antenna elements and so fourth. This paper presents the estimation of RCS of linear dipole array with series-feed network by tracing the signal path from the antenna aperture into the feed network. The effect of mutual coupling exhibited by the dipole antenna is considered for three configurations namely, side by side, collinear, and parallel in echelon. It is shown that the mutual coupling affects the antenna pattern (and hence RCS) significantly for larger scan angles. Further it is inferred that the RCS of phased array can be optimized by (i) reducing the length of the dipole, (ii) termination of the isolation port of the coupler with a suitable load, and (iii) using suitable amplitude distribution.
An Empirical Study of the Motivational Factors of Employees in Nigeria

The objective of this research is to draw attention to the importance of certain factors in motivating employees in Nigeria. Specifically, the study sought to describe the ranked importance of the following seven motivating factors: (a) job security, (b) personal loyalty to employees, (c) interesting work, (d) good working conditions, (e) good wages, (f) promotions and growth in the organization, and (g) full appreciation of work done. The 15 companies selected from Oyo, Kwara, Osun and Ogun States of Nigeria are mid-sized companies that involved in Educational Consultancy, Hotel and Catering Services, Transportation services, Retail services and Manufacturing. Data were collected through a well-structured questionnaire delivered to the employees of the companies. Findings of the study suggest that good working condition, interesting work, and good pay are key factors to higher employee motivation. Purposefully designed reward systems that include job enlargement, job enrichment, promotions, internal and external stipends, monetary, and non-monetary compensation should be considered. This will help the employer identify, recruit, employ, train, and retain a productive workforce.
UNIVERSIDAD DE SALAMANCA MASTER EN INVESTIGACIÓN EN ECONOMÍA DE LA EMPRESA TRABAJO FIN DE MASTER THE EFFECT OF R&D INTENSITY ON CORPORATE SOCIAL RESPONSIBILITY

This study examines the impact that Research and Development (R&D) intensity has on Corporate Social Responsibility (CSR). We base our research on the Resource Based View (RBV) theory, which contributes to our analysis of R&D intensity and CSR because this perspective explicitly recognizes the importance of intangible resources. Both R&D and CSR activities can create assets that provide firms with competitive advantage. Furthermore, the employment of such activities can improve the welfare of the community and satisfy stakeholder expectations, which might vary according to their prevailing environment. As expressions of CSR and R&D vary throughout industries, we extend our research by analysing the impact that R&D intensity has on CSR across both manufacturing and non-manufacturing industries. Our results show that R&D intensity positively affects CSR and that this relationship is significant in manufacturing industries, while a non-significant result was obtained in non-manufacturing industries.
Fiscal Multipliers: A Meta Regression Analysis

Since the fiscal expansion during the Great Recession 2008-2009 and the current European consolidation and austerity measures, the analysis of fiscal multiplier effects is back on the scientific agenda. The number of empirical studies is growing fast, tackling the issue with manifold model classes, identification strategies, and specifications. While plurality of methods seems to be a good idea to address a complicated issue, the results are far off consensus. We apply meta regression analysis to a set of 89 studies on multiplier effects in order to provide a systematic overview of the different approaches, to derive stylized facts and to separate structural from method-specific effects. We classify studies with respect to type of fiscal impulse, model class, multiplier calculation method and further control variables. Moreover, we analyse subsamples of the model classes in order to evaluate the effects of model-class-specific properties, currently discussed in the literature, such as the influence of central bank reaction functions and liquidity constrained households. As a major result, we find that the reported size of the fiscal multiplier crucially depends on the setting and method chosen. Thus, economic policy consulting based on a certain multiplier study should lay open by how much specification affects the results. Our meta analysis may provide guidance concerning influential factors.
Production of Biogas Using Maize Silage Supplemented with Residual Glycerine from Biodiesel Manufacturing

Abstract The aim of this study was to investigate the influence of residual glycerine (5 and 10% w/w) from the biodiesel industry, used as a co-substrate, on biogas production from maize silage. The experiments were conducted in a laboratory-scale, single-stage anaerobic digester at 39ºC and hydraulic retention time (HRT) of 60 d. Addition of 5% residual glycerine caused organic load rate (OLR) to increase to 1.82 compared with 1.31 g organic dry matter (ODM) L-1d-1 for maize silage alone. The specific biogas production rate and biogas yield were 1.34 L L-1d-1 and 0.71 L g ODM-1 respectively, i.e. 86% and 30% higher than for maize alone. Increasing the residual glycerine content to 10% increased OLR (2.01 g ODM L-1d-1), but clearly decreased the specific biogas production rate and biogas yield to 0.50 L L-1d-1 and 0.13 L g ODM-1 respectively. This suggested that 10% glycerine content inhibited methanogenic bacteria and organics conversion into biogas. As a result, there was accumulation of propionic and valeric acids throughout the experiment.
DISTRIBUTING THE CORPORATE INCOME TAX: REVISED U.S. TREASURY METHODOLOGY

The purpose of this analysis is to improve the U.S. Department of the Treasury's distributional model and methodology by defining new model parameters. We compute the percentage of capital income attributable to normal versus supernormal return, the percentage of normal return attributable to the "cash flow tax" portion of the tax that does not impose a tax burden, and the portion of the burdensome tax on the normal return to capital borne by capital income versus labor income. In summary, 82 percent of the corporate income tax burden is borne by capital income and 18 percent is borne by labor income.
Hartree-Fock-Bogoliubov theory of dipolar Fermi gases

We apply the Hartree-Fock-Bogoliubov theory to a system of uniform dipolar fermionic polar molecules, which recently has attracted much attention due to rapid experimental progress in achieving such systems. By calculating the anisotropic superfluid-order parameter and the critical temperature T{sub c}, we show that high-T{sub c} superfluid can be achieved with a quite modest value of interaction strength for polar molecules. In addition, we also show that the presence of the Fock-exchange interaction enhances superfluid pairing.
First observation of time variation in the solar-disk gamma-ray flux with Fermi

The solar disk is a bright gamma-ray source. Surprisingly, its flux is about one order of magnitude higher than predicted. As a first step toward understanding the physical origin of this discrepancy, we perform a new analysis in 1-100 GeV using 6 years of public Fermi-LAT data. Compared to the previous analysis by the Fermi Collaboration, who analyzed 1.5 years of data and detected the solar disk in 0.1-10 GeV, we find two new and significant results: 1. In the 1-10 GeV flux (detected at $>5\sigma$), we discover a significant time variation that anticorrelates with solar activity. 2. We detect gamma rays in 10-30 GeV at $>5\sigma$, and in 30-100 GeV at $> 2\sigma$. The time variation strongly indicates that solar-disk gamma rays are induced by cosmic rays and that solar atmospheric magnetic fields play an important role. Our results provide essential clues for understanding the underlying gamma-ray production processes, which may allow new probes of solar atmospheric magnetic fields, cosmic rays in the solar system, and possible new physics. Finally, we show that the Sun is a promising new target for ground-based TeV gamma-ray telescopes such as HAWC and LHAASO.
Life predictions based on calculable materials constants from micro to macro fatigue damage processes

To use the theoretical approach, by means of the tr aditional and the modern material constants; study their compositions of conventional mathematical models and modern models; research damage growth behaviors for some steels containing pre-micro or pre-macro-flaws; thereby discover and establish lot of new calculation models in all damage growth process, which are the equations of t he driving forces and the various life predictions. In addition, propose yet many calculat ing expressions under different loading conditions. For key parameters inside formu las, define their physical and geometrical meanings. For relationship between the damage variable D and the crack variable �, between the dimensions-units and ones inside diff erent equations, explain in detail the conversion methods. For the transition d amage value ��� from micro to macro damage growth process, expound concretely the calculation processes. The purpose is to try to make the modern fatigue-damage discipline become a calculable subject as the conventional material mechanics, suc h that will be having practical significances for promoting applying and development for relevant disciplines.
Preliminary Evaluation of the Psychometric Quality of HEIghten TM Quantitative Literacy

Quantitative literacy has been identified as an important student learning outcome (SLO) by both the higher education and workforce communities. This paper aims to provide preliminary evidence of the psychometric quality of the pilot forms for HEIghten quantitative literacy, a next-generation SLO assessment for students in higher education. We evaluated the psychometric quality of the test items (e.g., item analyses), individualand group-level reliability, the relationship with student performance and related variables (e.g., grade point average) as well as student perceptions, and differences across college-related and demographic subgroups. Our study used data from a pilot test administered to over 1,500 students at 23 higher education institutions in the United States. Results showed that (a) overall, items were functioning well, but a small portion of items should be dropped due to unsatisfactory performance; (b) correlations across sub-areas of the assessment were very high indicating that the assessment may be unidimensional; (c) reliability estimates similar to existing SLO assessments were found at both individual and group levels; (d) assessment scores correlated positively with high school and college GPA, number of math college courses, self-rated quantitative literacy skills, and college admissions scores; (e) students had positive perceptions about the assessment; and (f) performance differences were found across institution type, college majors, gender, racial/ethnic groups, and language groups, but not across credit-hour categories. Implications for operational test development and understanding of quantitative literacy performance are discussed.
OTT_A_215898 8401..8410

1Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 2Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 3Department of Pathology and Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 4Department of Gynecology and Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China Background: Triple-negative breast cancer (TNBC) is a heterogeneous disease with a worse prognosis. However, current therapies have rarely improved the outcome of patients with TNBC. Here we sought to identify novel biomarkers or targets for TNBC. Materials and methods: Patients GSE76275 clinic traits and their corresponding mRNA profiles for 198 TNBC and 67 non-TNBC were obtained from the GEO database. Weighted gene co-expression network analysis (WGCNA) of the GSE76275 keyed out hub genes, and the differentially expressed genes (DEGs) were identified with the cut-off of adjusted P (adj. P) <0.01 and |log2 fold-change (FC)| > 1.5. The hub DEGs overlapping genes, as key genes, were considered for further study using Kaplan-Meier plotter online analysis. Subsequently, Breast Cancer Gene-Expression Miner v4.0 and tissue microarray analysis were applied to determine the transcriptional and translational levels of every key gene. Following plasmid transfection for overexpression, the proliferation of TNBC cells was determined by CCK8 and colony formation assay. Moreover, xenograft tumor models were canvassed to investigate their effect upon in vivo tumor growth. Results: Four genes (SIDT1, ANKRD30A, GPR160, and CA12) were found to be associated with relapse-free survival (RFS) in TNBC through WGCNA and DEGs integrated analysis. Patients with a higher level of SIDT1 had significantly better RFS compared to those with lower levels. The transcriptional and translational levels of SIDT1 were validated as downregulated in patients with triple-negative status, negative estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Furthermore, SIDT1 inhibited proliferation of breast cancer cells (MDA-MB-231 and MDA-MB-468) and xenograft studies demonstrated that SIDT1 can suppress tumor growth in vivo. Conclusion: This study suggests that SIDT1 may play a crucial role in TNBC progression and has the potential as a prognostic biomarker of TNBC.
Research on User Loyalty of Short Video App Based on Perceived Value—Take Tik Tok as an Example

Despite short video industry has been greatly developed in recent years and many people have been addicted to using short video apps, little is known about what motivates users to generate such loyalty. The purpose of this paper is to build a research model based on the satisfaction, perceived value, time-flexibility, ease of use and celebrity attractiveness to identify the antecedents of users' loyalty in the context of short videos. The model is tested against 278 actual users of Tik Tok. Structural equation modeling (SEM) is employed for data analysis. The findings put entertainment value, social value, perceived usefulness, and time-flexibility under the spotlight, but the ease of use and celebrity attractiveness don't support our hypotheses. We conclude that Tik Tok users' loyalty is strongly driven by satisfaction, which in turn is primarily driven by the perceived value and weaken by the time-flexibility. The implications are discussed in the paper.
Assessment of IL-12 Serum Level in Patients with Inflammatory Acne Vulgaris and its Correlation with its Severity

Acne is a multifactorial disease of as yet incompletely elucidated etiology and pathogenesis [1]. The combination of keratin, sebum and microorganism particularly P. acnes leads to release of proinflammatory mediators and accumulation of T-helper lymphocytes, neutrophils and foreign body giant cells. This in turn causes the formation of inflammatory papules, pustules and nodulocystic lesions [2].
Depression as a Nash Equilibrium Consisting of Strategies of Choosing a Pareto Inefficient Transition Path

This paper shows that a Nash equilibrium consisting of strategies of choosing a Pareto inefficient transition path is selected by households even without frictions as a result of the revealed government failure in supervision of financial markets. The Pareto inefficiency causes the generation of many of the phenomena observed in a depression (e.g., a persistently large amount of unutilized resources), and it is not necessary to use “animal spirits” to explain the generation of a depression. The revealed government failure in the supervision of financial markets and the resulting increased policy-induced uncertainty makes non-cooperative and risk-averse households behave more myopically, resulting in a Nash equilibrium of a Pareto inefficient path. When the failure of financial supervision is revealed, the household rate of time preference shifts upwards when the expected variance of steady-state consumption increases and/or its expected value shifts downwards.
The role of nanoparticle inks in determining the performance of solution processed Cu2ZnSn(S,Se)4 thin film solar cells

Cu2ZnSnS4 (CZTS) nanoparticle inks synthesized by the injection of metal precursors into a hot surfactant offer an attractive route to the fabrication of Earth‐abundant Cu2ZnSn(S,Se)4 (CZTSSe) thin film photovoltaic absorber layers. In this work it is shown that the chemical reaction conditions used to produce CZTS nanoparticle inks have a fundamental influence on the performance of thin film solar cells made by converting the nanoparticles to large CZTSSe grains in a selenium rich atmosphere and subsequent cell completion. The reaction time, temperature and cooling rate of the nanoparticle fabrication process are found to affect doping level, secondary phases and crystal structure respectively. Specifically, prolonging the reaction offers a new route to increase the concentration of acceptor levels in CZTSSe photovoltaic absorbers and results in higher device efficiency through an increase in the open circuit voltage and a reduction in parasitic resistance. Quenching the reaction by rapid cooling introduces a wurtzite crystal structure in the nanoparticles which significantly degrades the device performance, while elevating the reaction temperature of the nanoparticle synthesis introduces a secondary phase Cu2SnS3 in the nanoparticles and results in the highest cell efficiency of 6.26%. This is correlated with increased doping in the CZTSSe absorber and the results demonstrate a route to controlling this parameter. © 2016 The Authors. Progress in Photovoltaics: Research and Applications published by John Wiley & Sons, Ltd.
DNA Microarray and Breast Cancer-A Review

Abstract Microarray is a powerful tool used widely to characterize tumors and has greatly improved the ability to subclassify tumors according to shared molecular characteristics and clinical behavior. It is a method to measure the expression of a large number of genes in any specimen simultaneously. Researchers at Stanford University were the first to describe and use DNA microarray to study gene expression in various diseases including cancer. Breast cancer is the second most common cancer among Indian women. Multiple factors like age, diet, obesity, parity, age at first childbirth, oral contraceptives, exogenous estrogens, genetics, environment, geographic location influence the development of this heterogeneous disease. Gene expression in these cancers by microarray is fast gaining in popularity in providing better prognostic and predictive information on the disease. This review is an attempt to look at the recent advances in breast cancer research with DNA microarray technology.
A simple and sensitive method using protein loss measurements to evaluate damage to human hair during combing

A simple method to quantify hair damage during combing or brushing has been developed. The method involves collecting hair fragments that are chipped from hair during combing and quantitatively measuring the amount of protein using a colorimetric procedure capable of detecting as little as 5 μg of protein per ml. Using this procedure on hair tresses in the laboratory and on live heads (half-head tests), we were able to demonstrate significant differences in protein loss during post-shampoo combing of undamaged and chemically damaged hair previously treated with various shampoos/conditioners. The method is applicable to different types of hair tested, namely, Caucasian, Asian, Oriental and Negroid