Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH PROFITABILITAS, LEVERAGE, DAN LIKUIDITAS TERHADAP KEBIJAKAN DIVIDEN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

The purpose of this research is to test the influence of Profitability variable by using Return On Equity (ROE), Leverage by using Debt to Equity Ratio (DER), and Liquidity variabel by using Current Ratio (CR), to the Dividend Payout Ratio (DPR) on manufacturing sector company are listed in Indonesian Stock Exchange in 2013-2017 periods. In this research the data used was obtained from the official IDX website. This research was included in the explanatory research using quantitative approach. Data analysis method used is regression analysis in panel data with the help of application E-Views8. Panel data regression estimatedr using Fixed Effect Model (FEM). The result showed that the profitability has a negative and significant effect on Dividend Payout Ratio, Leverage has a negative and hasn’t significant effect on Dividend Payout Ratio, while Liquidity has a positive and hasn’t significant effect on Dividend Payout Ratio.Keywords: Dividend Payout Ratio,Profitability, Leverage, LiquidityTujuan dari penelitian ini adalah untuk menguji pengaruh variabel Profitabilitas dengan menggunakan Return On Equity (ROE), Leverage dengan menggunakan Debt to Equity Ratio (DER), dan variabel likuiditas dengan menggunakan Current Ratio (CR), terhadap Kebijakan Deviden ( DPR) pada perusahaan sektor manufaktur yang terdaftar di Bursa Efek Indonesia pada periode 2013-2017. Dalam penelitian ini data yang digunakan diperoleh dari situs web resmi BEI. Penelitian ini termasuk dalam penelitian penjelasan dengan menggunakan pendekatan kuantitatif. Metode analisis data yang digunakan adalah analisis regresi data panel dengan bantuan aplikasi E-Views . Data panel regresi menggunakan Fixed Effect Model (FEM). Hasil penelitian menunjukkan bahwa profitabilitas berpengaruh negatif dan signifikan terhadap Kebijakan Deviden, leverage berpengaruh negatif dan tidak signifikan terhadap Kebijakan Deviden, sedangkan likuiditas berpengaruh positif dan tidak signifikan terhadap Kebijakan Deviden.Kata Kunci : Kebijakan Dividen, Profitabilitas, Leverage, Likuiditas
The Peace Dividend: Military Spending Cuts and Economic Growth

Conventional wisdom suggests that reducing military spending may improve a country's economic growth, but empirical studies have produced ambiguous results on this point. Extending a standard growth model, the authors exploit both cross-section and time-series dimensions of available data to get consistent estimates of the growth-retarding effects of military spending. Military spending is growth-retarding because of its adverse impact on capital formation and resource allocation. Model simulation results suggest a substantial long-term peace dividend - in the form of higher capacity output per capita - that may result from: 1) markedly lower military spending in most regions in the late 1980s; and 2) future cuts in military spending if global peace is secured.
Syddansk Universitet Sphingolipids membrane microdomains in brain development , function and neurological diseases

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Determining the Value of Soil Inorganic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions

Carbon sequestered as soil inorganic carbon (SIC) provides a regulating ecosystem service, which can be assigned a monetary value based on the avoided social cost of carbon (SC-CO2). By definition, the SC-CO2 is a measure, in dollars, of the long-term damage resulting from the emission of a metric ton of carbon dioxide (CO2). Therefore, this dollar figure also represents the value of damages avoided due to an equivalent reduction or sequestration of CO2. The objective of this study was to assess the value of SIC stocks in the contiguous United States (U.S.) by soil order, soil depth (0–20, 20–100, 100–200 cm), land resource region (LRR), state, and region using information from the State Soil Geographic (STATSGO) database together with a reported SC-CO2 of $42 (U.S. dollars). With this approach, the calculated monetary value for total SIC storage in the contiguous U.S. was between $3.48T (i.e., $3.48 trillion U.S. dollars, where T = trillion = 1012) and $14.4T, with a midpoint value of $8.34T. Soil orders with the highest (midpoint) values for SIC storage were: 1) Mollisols ($3.57T), 2) Aridisols ($1.99T), and 3) Alfisols ($841B) (i.e., $841B is 841 billion U.S. dollars, where B = billion = 109). When normalized by land area, the soil orders with the highest (midpoint) values for SIC storage were: 1) Vertisols ($3.57 m−2), 2) Aridisols ($2.45 m−2), and 3) Mollisols ($1.77 m−2). Most of the SIC value was associated with the 100–200 cm depth interval, with a midpoint value of $4T and an area-normalized value of $0.54 m−2. The LRRs with the highest (midpoint) values of SIC storage were: 1) D—Western Range and Irrigated Region ($1.77T), 2) H—Central Great Plains Winter Wheat and Range Region ($1.49T), and 3) M—Central Feed Grains and Livestock Region ($1.02T). When normalized by land area, the LRRs were ranked: 1) I—Southwest Plateaus and Plains Range and Cotton Region ($5.36 m−2), 2) J—Southwestern Prairies Cotton and Forage Region ($4.56 m−2), and 3) H—Central Great Plains Winter Wheat and Range Region ($2.56 m−2). States with the highest (midpoint) values for SIC storage were: 1) Texas ($2.96T), 2) New Mexico ($572B), and 3) Montana ($524B). When normalized by land area, the states were ranked: 1) Texas ($4.47 m−2), 2) Utah ($2.77 m−2), and 3) Minnesota ($2.17 m−2). Lastly, regions with the highest (midpoint) values for SIC storage were: 1) South Central ($3.13T), 2) West ($1.98T), and 3) Northern Plains ($1.62T). When normalized by land area, the regions were ranked: 1) South Central ($2.90 m−2), 2) Midwest ($1.32 m−2), and 3) West ($1.02 m−2). Results from this study demonstrate a new approach for assigning monetary values to SIC stocks at various scales based on their role in providing ecosystem services for climate regulation and carbon sequestration.
Efficiency and resource-based productivity of Islamic and conventional banks in the GCC states

i Declaration ii Acknowledgment iii List of Tables viii List of Figures xi LIST OF ABREVIATION xii CHAPTER ONE INTRODUCTION 1.1 Background 1 1.2 Literature: a brief examination 4 1.3 Aim, Objectives and Questions of Thesis 7 1.4 Methodology and Choice of Variables 9 1.5 Potential Contributions of the Study 11 1.6 Structure of the Thesis 12 CHAPTER TWO LITERATURE REVIEW: EFFICIENCY, PRODUCTIVITY AND COMPETITIVE ADVANTAGE IN BANKING 2.
DISCOVERY OF A NEW AM CVn SYSTEM WITH THE KEPLER SATELLITE

We report the discovery of a new AM CVn system on the basis of broadband photometry obtained with the Kepler satellite supplemented by ground-based optical spectroscopy. Initially retained on Kepler target lists as a potential compact pulsator, the blue object SDSS J190817.07+394036.4 (KIC 004547333) has turned out to be a high-state AM CVn star showing the He-dominated spectrum of its accretion disk significantly reddened by interstellar absorption. We constructed new grids of NLTE synthetic spectra for accretion disks in order to analyze our spectroscopic observations. From this analysis, we infer preliminary estimates of the rate of mass transfer, the inclination angle of the disk, and the distance to the system. The AM CVn nature of the system is also evident in the Kepler light curve, from which we extracted 11 secure periodicities. The luminosity variations are dominated by a basic periodicity of 938.507 s, likely to correspond to a superhump modulation. The light curve folded on the period of 938.507 s exhibits a pulse shape that is very similar to the superhump wavefront seen in AM CVn itself, which is a high-state system and the prototype of the class. Our Fourier analysis also suggests the likely presence of a quasi-periodic oscillation similar to those already observed in some high-state AM CVn systems. Furthermore, some very low-frequency, low-amplitude aperiodic photometric activity is likely present, which is in line with what is expected in accreting binary systems. Inspired by previous work, we further looked for and found some intriguing numerical relationships between the 11 secure detected frequencies, in the sense that we can account for all of them in terms of only three basic clocks. This is further evidence in favor of the AM CVn nature of the system.
Water Tower Ecosystems under the Influence of Land Cover Change and Population Growth: Focus on Mau Water Tower in Kenya

Land cover and population is key in considering sustainable management of the environment. An assessment focusing on the two may aid planning for sustainable management of the ecosystems. This is particularly vital for the water tower ecosystems which are extremely vulnerable. This paper provides a scientific assessment on the extent of land cover change in Mau Water Tower Ecosystem from 1986 to 2015 using satellite images. It analyzes the implications of observed population dynamics and forecasts the extent of land cover change in this resource. The results indicate a sharp increase in the area covered by grassland with a drastic decline in forest cover. Cropland showed marked fluctuations during the entire period. The change in forest cover had a very strong significant negative relationship with the rapid population increase. Forecast on land cover change, based on a “Business as Usual” (BAU) scenario, indicated further decline in forest cover and an increase in the area covered by grassland. The results of the study suggest that land cover change and population growth within the water towers are closely interlinked and cause significant effects on these ecosystems. These findings lay the foundation for a review of conservation and agricultural policies in order to enhance sustainable management of Mau Water Tower.
Early exit from business, performance and neighbours’ influence: a study of farmers in France

This article investigates the effects of economic performance and neighbours’ characteristics on farmers’ exit behaviour before retirement age. Using a unique set of social security data describing all French farmers under 50 over the years 2004–2017, we explore how these effects depend on farmers’ characteristics and how they stand relative to their neighbours. Our probit estimations reveal that younger farmers and farmers operating smaller farms are more sensitive to their own and neighbours’ performance than other farmers. Allowing for an asymmetric comparison effect between farmers and their neighbours, we uncover a nonlinear influence of own and neighbours’ profit and size.
Paths to Triviality Tore

This paper presents a range of new triviality proofs pertaining to näıve truth theory formulated in paraconsistent relevant logics. It is shown that excluded middle together with various permutation principles such as A → (B → C) ` B → (A → C) trivialize näıve truth theory. The paper also provides some new triviality proofs which utilize the axioms ((A → B) ∧ (B → C)) → (A → C) and (A → ¬A) → ¬A, the fusion connective and the Ackermann constant. An overview over various ways to formulate Leibniz’s law in non-classical logics and two new triviality proofs for näıve set theory are also provided.
Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods

With advances in computer technology, there has been an explosion in the amount of digital images being generated. It is of importance to retrieve images accurately and efficiently. Text-based Image Retrieval (TBIR) methods are popular and practical in extensive applications and have been developed in the past decades. Since the process of TBIR is similar to Information Retrieval (IR), different techniques were adopted from IR and utilized to improve the performance of TBIR methods. In this thesis, we focus on three IR techniques which are Term Frequency Inverse Document Frequency (TF-IDF), Vector Space Model (VSM) and Cosine Coefficient Similarity (CCS) measure. These three techniques have been utilized in TBIR methods together and separately and can effectively improve the performance of TBIR methods. However, to the best of our knowledge, the TBIR methods that utilized the three techniques together are hybrid approaches, only the performance of Contentbased Image Retrieval (CBIR) and TBIR hybrid methods are evaluated by the authors. Consequently, the effectiveness of applying these three IR techniques to TBIR methods is investigated by comparing the retrieval results of an experimental TBIR system in 2 different modes: one is the system implemented with only TF-IDF technique (Mode 2) and the other one with all three techniques (Mode 1). Based on the experiment results, the performance of the experimental TBIR system implemented with the three IR techniques is relatively ideal. In most cases, the average precision is above 80% on the IAPR TC-12 image database. Moreover, we also investigate how the repeated index terms affect the performance of TBIR methods by comparing the top 5 retrieved images’ rankings generated by the 2 modes of the experimental TBIR system. According to the experiment results, we found that adding VSM and CCS measure to the experimental TBIR system that is only implemented with TF-IDF technique could improve its performance in terms of ranking accuracy in most cases when images’ annotations contain repeated index terms that match the query.
Innovación No I+D en Colombia: un análisis desde la capacidad de absorción

Recibido el 3 de Diciembre de 2018 Aceptado el 25 de Marzo de 2019 Online el 5 de Abril de 2019 Códigos JEL: O32, C30, L25, L60 Palabras clave Innovación No I+D, capacidad de absorción potencial, capacidad de absorción realizada, empresas colombianas, método estadístico. El estudio presente examina la dinámica de la capacidad de absorción, bajo la concepción de Zahra y George (2002), según la cual la capacidad de absorción está compuesta por cuatro dimensiones: adquisición, asimilación, transformación y explotación, y dos tipos de capacidad: potencial y realizada. Como premisa fundamental, las actividades no asociadas con I+D pueden generar capacidad de absorción y que por esta vía se pueden desarrollar procesos de innovación. Para esto se toma como fuente de información la Encuesta de Desarrollo e Innovación Tecnológica (EDIT) 2015-2016, sobre la cual se seleccionan 41 variables que son analizadas a través de la técnica de PLS-PM (path analysis-path modeling). Los resultados confirman que las dimensiones de la capacidad de absorción tienen roles complementarios y que se da un proceso acumulativo, en el cual la última dimensión (explotación) representa una mayor contribución a la explicación de la capacidad de absorción realizada. © 2019 Fundación Universitaria Konrad Lorenz. Este es un artículo Open Access bajo la licencia CC BY-NC-ND (http://creativecommons. org/licenses/by-nc-nd/4.0/).
How to support sensing capabilities in highly volatile situations

Abstract In the scholarly debate on how to deal with hypercompetition, a dominant logic has become that investing in ‘sensing’, ‘seizing’, and ‘transforming’ dynamic capabilities offers organization’s the potential to repetitively initiate business innovations. Actual research into the micro-foundations of these dynamic capabilities has been limited. This study explores whether modular organizing and lateral coordination are typical processes that support an organization’s sensing function. Empirically the study investigates how these two variables help The Netherlands armed forces to deal with its volatile crisis response environment. The findings show that both predictors stimulate the development of a broad knowledge base from which the organization can operationally benefit. Yet, the study has also uncovered that, when modularity's demand of organizational autonomy is not sufficiently satisfied, the organization becomes preoccupied with its own internal functioning at the expense of its external lateral sensing capacity.
Will We Ever Meet Again? The Relationship between Inter‐Firm Managerial Migration and the Circulation of Client Ties

A large body of research shows that the migration of managers from one professional service firm to another weakens the old employer&#8217;s relationship with its clients, because migrating managers remove their relationship&#8208;specific knowledge and expertise &#8211; i.e., human and social capital &#8211; from their old employers, redeploying it to their new employers. This study extends this research by introducing a bi&#8208;directional perspective of social capital in which both firms and managers may exploit these relationship&#8208;specific resources. We use theory on social capital to build arguments about how one form of manager mobility, manager migration between two service providers in a single market, can both lead and lag the movement of client ties between those providers, and signaling theory to hypothesize the conditions under which this is likely to occur. Analyses using longitudinal data on New York City advertising agencies generally support our arguments. Our findings contribute to theory and research on manager migration, social capital, and signaling, and raise new questions for how the portability of relationship&#8208;specific social capital shapes markets.
Nutritional Evaluation and Consumer Preference of Legume Fortified Maize-meal Porridge

Maize-meal porridge is commonly consumed meal for the adults as breakfast food and for the children as complementary food. Food-to-food fortification was employed in order to improve the protein content of maize-meal porridge using soy flour and local groundnut paste. The study was aimed at evaluating the nutritional properties and consumer preference of the attributes of the unfortified porridge, legume-fortified porridge, and powdered milk-fortified porridge. The influence of consumers’ knowledge of the type of fortificant added to the porridge was also investigated. Soy-fortified porridges provide comparable ash, crude fibre and fat contents to powdered milk- fortified porridge but with higher protein than powdered milk-fortified porridge. Soy flour raised the protein and ash content of the porridge by 90% and 63% respectively, the groundnut paste raised the protein and ash content by 88% and 41% and the powdered milk by 87% and 65% respectively. The unfortified porridge was the least preferred while the milk-fortified porridge was the most preferred. There was no significant difference between preference for some of the attributes of the groundnut paste fortified-porridge and the soy flour-fortified. There was no significant difference between consumption intent for the soy flour and groundnut paste -fortified porridge. Soy-fortified porridges provide comparable ash, crude fibre and fat contents to powdered milk- fortified porridge but with higher protein than powdered milk-fortified porridge. Soy-flour has shown to be a good substitute for powdered milk as a protein-fortificant for porridge and soy-fortified porridge could be a possible means of alleviating Protein-energy malnutrition among low income populations.
In Defense of Portfolio Optimization: What If We Can Forecast?

We challenge the academic consensus that estimation error makes mean–variance portfolio strategies inferior to passive equal-weighted approaches. We demonstrate analytically, via simulation, and empirically that investors endowed with modest forecasting ability benefit substantially from a mean–variance approach. An investor with some forecasting ability improves expected utility by increasing the number of assets considered. We frame our study realistically using budget constraints, transaction costs, and out-of-sample testing for a wide range of investments. We derive practical decision rules to choose between passive and mean–variance optimization and generate results consistent with much financial market practice and the original Markowitz formulation. Disclosure: The authors report no conflicts of interest. Editor’s Note: This article was externally reviewed using our double-blind peer-review process. When the article was accepted for publication, the authors thanked the reviewers in their acknowledgments. Nick Baltas was one of the reviewers for this article. Submitted 8 June 2018 Accepted 20 March 2019 by Stephen J. Brown.
Social Responsibility Auditing in Supply Chain Networks

We study a buyer’s problem of auditing suppliers within an existing network to ensure social responsibility compliance. The buyer suffers economic damages if a violation at a supplier is exposed (whether by the media, regulator, or nongovernmental organization). To avoid damages, the buyer may audit the network to identify noncompliance. If a supplier fails an audit, the buyer must take one of two costly actions: either rectify the supplier or drop the supplier (along with any dependent suppliers). Dropping a supplier changes the network topology, reducing competition and thereby increasing the buyer’s input cost arising from an equilibrium. We show that the buyer’s optimal dynamic auditing policy has two subphases: the buyer will first audit and drop some suppliers before either auditing and rectifying all remaining suppliers or halting auditing altogether. By halting, the buyer tolerates some noncompliance in the network (“see no evil, hear no evil”). Within the audit-and-drop subphase, when auditing only in the upper tier, the buyer always audits a least valuable unaudited supplier, yielding greater balance in the network. When the buyer audits both tiers, it might choose a supplier other than the least valuable. The buyer may choose a supplier in a pivotal position to help ascertain the viability of a portion of the network (“litmus test”). In extensions, we find that when violations in tier 1 carry a higher penalty for the buyer, the buyer may audit and rectify only tier 1 suppliers; when audits may be inaccurate, the buyer more likely tolerates a greater level of noncompliance. This paper was accepted by Charles Corbett, operations management.