Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Accounting Disclosure of Ordinary Free Float, Investment Held and Strategic Ownership Matters for Corporate Financial Policies and Performance?

This empirical research is the first which examine the relationship of "ownership structure-performance-leverage-dividend". Thus this research aims to observe the link between these variables for the interest of shareholders, potential investors, and managers. The ownership structure of a firm is examined for its link with its performance, capital structure and other decision making. In this research paper, the main aims are to identify and explore the accounting disclosure of three defined ownership structure, the public ordinary ownership (free float shares) (FF), the strategic (managerial) ownership (SS), and the investment held ownership (IH) and also seek toinvestigate and examine how the ownership structure of companies influence corporate financial performance (profitability and liquidity), leverage and dividend policy using earnings per share (EPS), total assets (TA) and industry type (IND) as control variables. Data used in the analysis were collected from the annual financial statements. dimensions. In the reserach the time series data of different variables related to Ownership structure, firm’s performance and dividend policy of the companies is used. Four multiple linear regression analysis are used to test the research hypotheses. The sample used examines the effect of three types of ownership structure of companies other than financial ones as independent variables on return on equity ratio, current ratio, debt/equity ratio, dividend yield ratio as dependent variables of 116 companies listed on the Egyptian Stock Exchange between 2012-2017. According to regression analysis, the results showed that there is a significant positive relationship between ROE and the three types of ownership structure (FF, IH, SS) and also with the EPS and it is found that the relationship between liquidity measured using the current ratio and ownership structure (FF and SS) is positive and significant, while for investment held ownership found a significant negative relatinship. The result reveals also that all ownership structures are negetavely correlated with high extent to the financial leverage measured using debt/equity. Findings indicate also an insignificant positive relationship between dividend yields and FF and SS, while for IH found insignificant negative. EPS found to have a significant positive impact on ROE and dividend yields. TA representing the firm size have a significant negative impact on the liquidity of firms and significant positive impact on its financial leverage level. The findings in this research are useful for investors to understand how the financial policies and performance of firms are affected by the level and type of managerial ownership; high level of managerial ownership decreases the tendency of firms to go for debt financing, while increase the dividends yield as the EPS is enhanced in such firms.
Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information

This paper investigates the linear/nonlinear long-run and short-run dynamic relationships between oil prices and two implied volatilities, oil price volatility index (OVX) and stock index options volatility index (VIX), representing panic gauges. The results show that there is a long-run equilibrium relationship between oil prices and OVX (VIX) using the linear autoregressive distributed lag (ARDL)-bounds test. Likewise, while using the nonlinear autoregressive distributed lag (NARDL)-bounds test, not only does a long-run equilibrium relationship exist, but also the rising OVX (VIX) has a greater negative influence on oil prices than the declining OVX (VIX), thus indicating that a long-run, asymmetric cointegration exists between the variables. Furthermore, OVX (VIX) oil prices have a linear Granger causality, while for the nonlinear Granger causality test, oil prices have a bidirectional relation with OVX (VIX). In addition, we find that once major international political and economic events occur, structural changes in oil prices change the behavior of oil prices, and thus panic indices, thereby switching from a linear relationship to a nonlinear one. The empirical results of this study provide market participants with more valuable information.
i-Vector-Based Speaker Verification on Limited Data Using Fusion Techniques

Abstract In many biometric applications, limited data speaker verification plays a significant role in practical-oriented systems to verify the speaker. The performance of the speaker verification system needs to be improved by applying suitable techniques to limited data condition. The limited data represent both train and test data duration in terms of few seconds. This article shows the importance of the speaker verification system under limited data condition using feature- and score-level fusion techniques. The baseline speaker verification system uses vocal tract features like mel-frequency cepstral coefficients, linear predictive cepstral coefficients and excitation source features like linear prediction residual and linear prediction residual phase as features along with i-vector modeling techniques using the NIST 2003 data set. In feature-level fusion, the vocal tract features are fused with excitation source features. As a result, on average, equal error rate (EER) is approximately equal to 4% compared to individual feature performance. Further in this work, two different types of score-level fusion are demonstrated. In the first case, fusing the scores of vocal tract features and excitation source features at score-level-maintaining modeling technique remains the same, which provides an average reduction approximately equal to 2% EER compared to feature-level fusion performance. In the second case, scores of the different modeling techniques are combined, which has resulted in EER reduction approximately equal to 4.5% compared with score-level fusion of different features.
A Rule-Based Language for Programming Wireless Sensor Actuator Networks using Frequency & Communication

This paper proposes a new rule-based language for programming heterogeneous sensor actuator networks. Rules are declarative statements which are evaluated using sensor readings spanning multiple sources. We combine our declarative rules system with the notion of frequency based operation and communication to allow a compiler to emit a work schedule optimized for minimal power consumption. Combining rules with frequency information also removes the need for concurrency in the form of threads. The language presented in this paper is compiled to an intermediate byte-code which can be executed by a reconfigurable virtual machine. Our language is designed to be reliable, energy efficient and expressive, which is achieved through predictable execution, enabling compile time checks and optimizations.
The oversecuritization of global health: changing the terms of debate

Linking health and security has become a mainstream approach to health policy issues over the past two decades. So much so that the discourse of global health security has become close to synonymous with global health, their meanings being considered almost interchangeable. While the debates surrounding the health–security nexus vary in levels of analysis from the global to the national to the individual, this article argues that the consideration of health as a security issue, and the ensuing path dependencies, have shifted in three ways. First, the concept has been broadened to the extent that a multitude of health issues (and others) are constructed as threats to health security. Second, securitizing health has moved beyond a rhetorical device to include the direct involvement of the security sector. Third, the performance of health security has become a security threat in itself. These considerations, the article argues, alter the remit of the global health security narrative; the global health community needs to recognize this shift and adapt its use of security-focused policies accordingly.
Inflation co-movement in emerging and developing Asia: the monsoon effect

ABSTRACT Co-movement (synchronicity) in food-inflation rates among emerging and developing countries in Asia is partly due to common rainfall shocks – a result which the paper terms the ‘monsoon effect’. Economies with higher trade integration and co-movement in nominal effective exchange rates also experience greater food-inflation co-movement. In the context of the growing literature on the globalization of inflation, these results suggest that common weather patterns are partly responsible for any role played by a so-called ‘global factor’ among inflation rates in emerging and developing economies, in Asia at least.
Who pays the price of folly? The business cycle and income and wealth mobility in Spain

Spain has experienced a dramatic business cycle, starting with a large construction based boom followed by a long recession, resulting in a substantial rise in unemployment, and income and wealth inequality. This paper uses longitudinal data from the Survey of Household Finances over the period 2002 to 2014 to examine the distributions of income and wealth in Spain, as well as the mobility of households within those distributions. Results show an increase in the concentration of both income and wealth following the sharp decline in house prices that occurred since 2008, with house price fluctuations affecting more negatively the young than the old. Furthermore, differences in average income and wealth by education, gender and home ownership status were accentuated during the crisis, with lower and middle group incomes falling on average and top group incomes rising. In addition, higher levels of mobility within the middle of the household wealth distribution are observed than at either the top or bottom, although mobility at the extremes of the distribution increased after 2008. Finally, a number of characteristics of households, including age, property ownership, being employed on a permanent contract and good health, are found to be positively associated with wealth accumulation over time, while having a mortgage is negatively related. Overall, the paper finds it is the young and those with low income, wealth and education, bad health, temporary contracts and a mortgage that became relatively worse off in Spain’s early 21st century boom and bust cycle. This Working Paper relates to the 2018 OECD Economic Survey of Spain (http://www.oecd.org/economy/spain-economic-snapshot)
Nonlinear Effect of Scientific and Technological Innovation on Economic Development Based on Spatial Panel and Threshold Model

Against the background of "strengthening a country through science and technology", the problem of how to promote scientific and technological innovation to effect economic development is of great importance. In order to explore the action mechanism of scientific and technological innovation on economic development, based on the relevant data of 29 provinces, municipalities and autonomous regions in China from 2007 to 2016, this paper adopts the spatial panel regression model and the threshold panel regression model to inspect the non-linear spatial relationship between science and technology and economy. The results show that there is a significant spatial dependence of scientific and technological innovation on economic development in China, and the spatial Durbin panel model is the best research model. Scientific and technological innovation, financial development, opening up and government investment have posed significant positive spatial spillover effects on the economy of neighboring provinces. Human capital and opening up have played a significant role in provincial economy, but it has posed a significant negative effect on the economy of neighboring provinces through the "resource closure effect". The impact of scientific and technological innovation on economic development has obvious threshold effect of opening up and financial development. Hereby, the paper puts forward some countermeasures that promote scientific and technological innovation to influence economic development. Keywords—scientific and technological innovation; economic development; spatial spillover effect; threshold model
Bank Lending and Monetary Policy: Evidence from Deposit Money Banks (DMBs) in Nigeria

Monetary policy is aimed at attaining price stability, full employment and moderate long-term interest rates in the economy based on regulatory authority priorities, prevailing economic and financial conditions. Using annualized time series data from DMBs in Nigeria and the Vector Error Correction Model (VECM) as well as the simulates generalized impulse response functions, this study assessed the dynamic interactions between bank lending and monetary policy by observing how banks’ lending patterns are influenced by changes in monetary policy over the years in Nigeria.The result revealed that bank lending responds to short run changes in monetary policy but there is no long run influence from monetary policy to bank loan as banks adjust their portfolio mix in line with the prevailing monetary policy. Similarly, it revealed that changes in monetary policy often create fluctuations on bank health and as such regulatory authority must focus on factors such as monetary policy rate and bank capital that influence bank position in order to attain a significant economic performance using banks as a monetary policy transmission mechanism to the economy.
Factors the Development of Region Promotion Activities Centre (PKWp) in Lebak District Banten Province

Lebak Regency as one of the districts that is still lagging behind in Banten Province, does not rule out the possibility of having the potential to be developed so that it can compete with other districts / cities in Banten Province. PKWp is the center of activities that are promoted later to be designated as Regional Activity Centers. There are two sub-districts included in the PKWp in Lebak Regency, namely Maja and Bayah. The problem that occurs is that it still relies on the agricultural sector so that it needs to be developed in the non-agricultural sector, limited supervision of spatial utilization, not yet supporting infrastructure facilities in the development of PKWp, and regional disparities between districts in Lebak Regency. The purpose of this study was to find out and analyze the development of PKWp in Lebak Regency and analyze the driving or inhibiting factors in developing PKWp in Lebak Regency. This study used qualitative research methods. The results of this study the driving factors in regional development, namely physical (education, health, economy and infrastructure) and investment, while inhibiting factors in regional development, namely social, productive population migration, government policies, trade patterns and trade activities.
The Open ANC (OANC)

The American National Corpus (ANC) project is creating a massive electronic collection of American English, including texts of all genres and transcripts of spoken data produced from 1990 onward. The ANC will provide the most comprehensive picture of American English ever created, and will serve as a resource for education, linguistic and lexicographic research, and technology development. This open portion of the American National Corpus (OANC) contains approximately 15 millions words from the full corpus.
The Analysis of Technology Acceptance Model (TAM) For Personal Financial Management On Mobile Application Technology

—This study seeks to analyze the acceptability of technology for personal financial management applications using mobile application technology. This study explored the aspects of perceived usefulness, perceived ease of use, and intention to use of an android-based personal financial management application. The application, which is called Manage Your Money (MYM), is developed by researchers. This research involved 77 respondents to use this application for one week to record their personal financial management behavior. The data were analyzed by Confirmatory Factor Analysis (CFA) to measure the end users’ satisfaction with Manage Your Money application. The results show the value of anti-image matrices on each variable has a range of values of 0.731 to 0.805 (greater than 0.5) so that all variables can be analyzed. The rotated component shows that the five variables belong to one group which then forms the end user satisfaction’s construct. The results of the study show that 3 aspects in the TAM model go through four variables namely accuracy, system content, ease of use, system format, and timeliness in its use. This research shows that Manage Your Money application is acceptable to users.
Dynamic Capabilities in the German financial services industry

Purpose. The purpose of this work is to investigate processes constituting to Dynamic Capabilities in companies of the German financial services industry. Design/Method/Approach. Exploratory with a qualitative approach and a multiple case study method. Findings. The results indicate a connection of Dynamic Capabilities and the dynamism of the environment. The actual Dynamic Capabilities seem to operate in business model related activities, such as distribution channels, but not in product development. Theoretical implications. Suggestions are given for the development of a comparative measurement concept for Dynamic Capabilities. furthermore, the inclusion of environmental dynamism in the research is emphasized. Practical implications. Firms can use the structure of sensing, seizing and reconfiguration and apply the dimensions for the relational measurement to evaluate their innovation activities. Originality/Value. Connections of Dynamic Capabilities to the environmental dynamism were found. Furthermore, the process lens of this research makes the theoretical concept of dynamic capabilities more graspable and gives suggestions for an operationalization. Paper type – empirical.
Linking Spatial Named Entities to the Web of Data for Geographical Analysis of Historical Texts

In our work, we are interested in facilitating the exploration by scholars of the geography of texts: in particular, historical narrative texts describing routes. Semantic annotation constitutes the first step to enrich such text with the necessary information for producing analytical maps. The present article focuses on the disambiguation of spatial named entities (SNE) by the attribution of an identifier of the ever-growing Web of Data. This giant knowledge base (KB) provides qualitative spatial information about geographic entities, in particular spatial relations such as (:Paris :southOf :Lille), (:Paris :country :France). We thus propose a graph-matching algorithm relying on the A* algorithm and graph-edit distances for choosing the best referent in the KB for the SNE. We performed preliminary experiments and noted the clear gain in performance. We propose some examples of maps that are built semi-automatically. Finally, we draw conclusions and describe our plans of future work.
Applications of IoT in Healthcare in India

Internet of Things (IoT) is an emerging area that is attracting a lot of attention in various fields. One of the traditional areas in India that requires a lot of development and attention is healthcare. The shortage of qualified healthcare workers in rural areas has led to poor availability of these services in the rural areas which actually is a huge part of the country. This paper reviews various advancements in the area of IoT worldwide and how the same can be applied to healthcare in general. It surveys a lot of work that can contribute to application of IoT developments to the field of healthcare.
PELACAKAN DAN DETEKSI WAJAH MENGGUNAKAN VIDEO LANGSUNG PADA WEBCAM

Dalam sebuah citra ataupun video terdapat banyak objek di dalamnya mulai dari benda hidup/mati serta objek lain yang ada di dalamnya. Dalam penelitian ini dilakukan pendeteksian wajah manusia melalui Video Langsung seperti video yang terdapat pada Webcam/CCTV menggunakan aplikasi berbasis Windows (MATLAB) sedangkan untuk metodenya sendiri menggunakan metode Viola-jones. Setelah dilakukan berbagi pengujian dapat disimpulkan bahwa penelitian ini menghasilkan sebuah aplikasi Deteksi Wajah yang bisa mendeteksi wajah lebih dari 9 orang dalam jarak 300 cm dan jarak terjauh yang dapat terdikteksi mencapai 600 cm pada pencahayaan yang bagus sedangkan untuk kondisi gelap hanya mampu pada jarak 100 cm dan penelitian ini belum dicoba pada CCTV karena keterbatasan perangkatnya.
A Review of Solar Energy Prospects in Palestine

Energy is the main player in the community’s development in several aspects. Palestine is an occupied developing country which has a complicated energy sector. Renewable Energy (RE) resources are considered the optimal practical solution to mitigate or resolve the energy crisis in Palestine. Most of Palestine receives solar radiation about 3000 hours annually, and the average solar radiation values range from 5.4 kWh/m2.day to 6.0 kWh/m2.day. These results of solar radiation, in addition to the absence of political restrictions on the use of solar energy technology, make solar energy the most viable and feasible choice among other renewable sources. This work objective is to introduce a comprehensive review of the solar energy prospects in Palestine, its geographical data, applications, legislative, and economic potential in contrast to established projects and modules. This review is based on introducing analyzed information about solar energy characteristics in Palestine, Applied solar systems and technology, the policies and legislation, and a recap of strengths, drawbacks, and recommendations. Results showed that best locations for PV solar energy exploitation are Gaza and south West Bank, and worst is Jericho, which leads to resolve many developmental issues in both rural and urban areas.
Fast Current-Only Based Fault Detection Method in Transmission Line

When a fault occurs in transmission lines, first, it is detected, then classified, and finally, located by a distance protection. Having a fast fault detection approach helps saving the required time for the whole protection procedure. In this paper, a novel method for fault detection of transmission lines based on the summation of squared three-phase currents (SSC) and a moving average technique is proposed. The SSC is constant during a normal condition of the network, while it has considerable variation under a fault condition. Using a moving average concept, a criterion is defined, by which fault occurrence can be detected. The proposed fault detection method is evaluated in four different systems: a typical 5-bus system, a typical double-circuit transmission line, WSCC 9-bus system, and a laboratory small-scaled system. The results confirm a high degree of accuracy and speed of the proposed approach. Moreover, the performance of the method is compared with some other similar methods from different aspects.
Rational explanation for rule-of-thumb practices in asset allocation

Naive asset allocation and other ad-hoc techniques are commonly practiced by fund managers in the industry. Such strategies, however, are deemed mean-variance (MV) sub-optimal according to modern portfolio theory. Nonetheless, taking estimation risk into considerations, such practices are consistent with rational theory. In practice, the potential advantage from MV optimization is weighed against the severity of estimation risk. This paper proposes a set of decision rules to determine the optimal fund under estimation risk. A mixed strategy that deploys the proposed decision rules implies a convex improvement in terms of out-of-sample Sharpe-ratio.