Miracle-dz/UniFAR-FTUs huggingface dataset:
THE IMPACT OF PROFITABILITY, DEBT POLICY, EARNING PER SHARE, AND DIVIDEND POLICY ON THE FIRM VALUE (Empirical Study of Companies Listed In Jakarta Islamic Index 2013-2015)

The objective of this study is to analyze the influence of profitability (ROE), debt policy (DER), earning per share , dividend policy (DPR) to the firm value in companies listed in the Jakarta Islamic Index. This study uses quantitave approach with secondary data over periodof 2013 to 2015. Sample is taken by using purposive sampling . Based on certain criteria, there were 18 companies that matched with the criteria . Data were analyzed by using multiple regression method . The results shows that partially profitability and dividend policy have a positive influence on the firm value while debt policy and earnings per share do not have influence on the firm value. Keywords : Firm Value, Profitability, Debt Policy, Earning per Share, Dividend Policy.
Environmental management in Bulgarian agriculture - Risks, modes, major challenges

This paper presents a new framework for analysis and improvement of environmental management based on the achievements of the New Institutional and Transaction Costs Economics. Following that new framework we first, identify the major environmental problems and risks in Bulgarian agriculture. Next, we access efficiency of market, private and public modes of environmental management employed in the sector. And finally, we give prospects and major challenges of environmental management in conditions of EU Common Agricultural Policy implementation. Our analysis shows that post-communist transition of Bulgarian agriculture has changed the state of the environment and brought some new challenges such as: degradation and contamination of farmland, pollution of surface and ground waters, loss of biodiversity, significant greenhouse gas emissions etc. Badly defined and enforced environmental rights, prolonged process of privatization of agrarian resources, carrying out farming in structures not motivating in long-term investment, low appropriability of certain environmental rights and high uncertainty and assets specificity of environment related transactions, all these factors have been responsible for failure of market and private modes of environmental management. The strong needs for a public intervention have not been met by an effective government, community, international assistance etc. intervention. Consequently agrarian sustainability has been severely compromised. The assessment of likely impact of EU CAP implementation under “Bulgarian” conditions indicates that the main beneficiary of various new support measures will be the biggest operators. Income, technological and environmental discrepancy between different farms, sub-sectors and regions will be further enhanced. Our analysis has been also supported by field survey data from different type dairy farms from two major milk producing regions of the country. We have found out that a great number of farms have no sufficient capacity for adaptation to new EU requirements for the dairy sector. The bulk of milk producers expect no positive impact of CAP measures on their income, volume and technology of production, investment level, product quality, access to public programs, improvement of environmental care, improvement of animal welfare, development of infrastructure, possibilities for new income generation, and social status of farm households.
New formulae for magnetic relative helicity and field line helicity

We consider a magnetic field B occupying the simply connected domain D and having all its field lines tied to the boundary S of D. We assume here that B has a simple topology, i.e., the mapping M from positive to negative polarity areas of S associating to each other the two footpoints of any magnetic line, is continuous. We first present new formulae for the helicity H of B relative to a reference field B r having the same normal component B n on S, and for its field line helicity h relative to a reference vector potential C r of B r . These formulae make immediately apparent the well known invariance of these quantities under all the ideal MHD deformations that preserve the positions of the footpoints on S. They express indeed h and H either in terms of M and B n , or in terms of the values on S of a pair of Euler potentials of B . We next show that, for a specific choice of C r , the field line helicity h of B fully characterizes the magnetic mapping M and then the topology of the lines. Finally, we give a formula that describes the rate of change of h in a situation where the plasma moves on the perfectly conducting boundary S without changing B n and/or non-ideal processes, described by an unspecified term N in Ohm’s law, are at work in some parts of D.
A Survey of Evidence for Feasting in Mycenaean Society

Abstract:The study of feasting on the Greek mainland during the Middle and Late Bronze Age provides insights into the nature of Mycenaean society. Grave goods demonstrate changes in feasting and drinking practices and their importance in the formation of an elite identity. Cooking, serving, and drinking vessels are also recorded in Linear B documents. Feasting scenes appear in the frescoes of Crete and the islands, and the Mycenaeans adapt this tradition for representation in their palaces. Feasting iconography is also found in vase painting, particularly in examples of the Pictorial Style. Mycenaean feasting is an expression of the hierarchical sociopolitical structure of the palaces.
Role of Callous-Unemotional Traits in prediction of Childhood behavior problems

In the present Study, translation of Inventory of Callous-Unemotional Traits (Parent version) into Urdu language was carried out. This inventory was devised by Frick (2004). Callous-Unemotional (CU) traits contribute to the childhood behavioural disorders in children. Sample included 245 academically low performing children (mean age = 9.68; SD = 1.56) including 75 girls (mean age = 9.32; SD = 1.25) and 170 boys (mean age = 9.84; SD = 1.65). the age range of the sample was 7 to 13 years selected from 3 rd to 5 th grades, from various schools of Islamabad and Rawalpindi. The assessment of childhood behaviour disorder was made via Disruptive Behaviour Disorder (DBD) Rating scale (Urdu version) by (Loona & Kamal, 2011). Psychometric properties of ICU-P (Inventory of Callous-Unemotional Traits Urdu version) were determined in terms of alpha reliability, and inter scale correlations. Cronbach's alpha coefficients yielded an internal consistency coefficient of . 75 for the 24 items of ICU-P (Urdu version). The alphas of ICU-P subscales were: . 73, . 78, . 72 for Unemotional, Uncaring and Callousness subscales respectively. Multiple linear regression was carried out to examine the role of callous-unemotional traits as predictors of childhood behavior disorders. Findings indicated that callous and uncaring traits significantly predict disruptive behaviour disorders in children.
ON 3D DIMENSION: STUDY CASES FOR ARCHAEOLOGICAL SITES

For more than a century the tridimensional vision has been of interest for scientists and users in several fields of application. The mathematical bases have remained substantially unchanged but only the new technologies have allowed us to make the vision really impressive. Photography opens new frontiers and has enriched of physical, mathematical, chemical, informatical and topographic notions by making the images so real to make the observer fully immersed into the represented scene. By means of active googless the 3D digital technique, commonly used for video games, makes possible animations without limitations in the dimension of the images thanks to the improved performances of the graphic processor units and related hardware components. In this paper we illustrate an experience made by the students of the MSc'degree course of Topography, active at the University of Cassino and Southern Lazio, in which the photography has been applied as an innovative technique for the surveying of cultural heritage. The tests foresee the use of traditional techniques of survey with 3D digital images and use of GPS sensors. The ultimate objective of our experience is the insertion in the web, allowing us the visualization of the 3D images equipped with all data. In conclusion these new methods of survey allow for the fusion of extremely different techniques, in such an impressive way to make them inseparable and justifying the origin of the neologism "Geomatics" coined at the Laval University (Canada) during the eighties.
Reforming petroleum-based fuels for fuel cell vehicles : composition-performance relationships.

Onboard reforming of petroleum-based fuels, such as gasoline, may help ease the introduction of fuel cell vehicles to the marketplace. Although gasoline can be reformed, it is optimized to meet the demands of ICEs. This optimization includes blending to increase the octane number and addition of oxygenates and detergents to control emissions. The requirements for a fuel for onboard reforming to hydrogen are quite different than those for combustion. Factors such as octane number and flame speed are not important; however, factors such as hydrogen density, catalyst-fuel interactions, and possible catalyst poisoning become paramount. In order to identify what factors are important in a hydrocarbon fuel for reforming to hydrogen and what factors are detrimental, we have begun a program to test various components of gasoline and blends of components under autothermal reforming conditions. The results indicate that fuel composition can have a large effect on reforming behavior. Components which may be beneficial for ICEs for their octane enhancing value were detrimental to reforming. Fuels with high aromatic and naphthenic content were more difficult to reform. Aromatics were also found to have an impact on the kinetics for reforming of paraffins. The effects of sulfur impurities were dependent on the catalyst. Sulfur was detrimental for Ni, Co, and Ru catalysts. Sulfur was beneficial for reforming with Pt catalysts, however, the effect was dependent on the sulfur concentration.
First firm spectral classification of an early-B pre-main-sequence star: B275 in M 17

The optical to near-infrared (300−2500 nm) spectrum of the candidate massive young stellar object (YSO) B275, embedded in the star-forming region M 17, has been observed with X-shooter on the ESO Very Large Telescope. The spectrum includes both photospheric absorption lines and emission features (H and Ca ii triplet emission lines, 1st and 2nd overtone CO bandhead emission), as well as an infrared excess indicating the presence of a (flaring) circumstellar disk. The strongest emission lines are double-peaked with a peak separation ranging between 70 and 105 km s −1 , and they provide information on the physical structure of the disk. The underlying photospheric spectrum is classified as B6−B7, which is significantly cooler than a previous estimate based on modeling of the spectral energy distribution. This discrepancy is solved by allowing for a larger stellar radius (i.e. a bloated star) and thus positioning the star above the main sequence. This constitutes the first firm spectral classification of an early-B pre-main-sequence (PMS) star. We discuss the position of B275 in the Hertzsprung-Russell diagram in terms of PMS evolution. Although the position is consistent with PMS tracks of heavily accreting protostars ( u +
Bias of Script-Driven Processing on Eyewitness Memory in Young and Older Adults

Summary: We investigated the effects of script-driven processing on eyewitness memory in young (aged 19 to 27) and older (aged 57 to 73) adults. Participants viewed a bank robbery video including high-typicality and low-typicality actions to examine the effects of the bank robbery script on recall and on immediate and 1-week recognition. There were no differences between young and older adults in recalling high-typicality actions, but recall of low-typicality actions was poorer for older adults. In recognition, participants produced more hits and false alarms, adopted a more lenient response bias, and exhibited greater confidence for high-typicality than low-typicality actions, showing the script-driven processing of the event, even in the long term, because the recognition interval only deteriorated performance for low-typicality contents. Older adults had a higher proportion of false alarms, more lenient response bias, and higher confidence than younger adults, showing that bias of script-driven processing is more evident in the elderly. Copyright © 2012 John Wiley & Sons, Ltd.
A Real Exchange Rate Based Phillips Curve

It has been noted in many papers that primary commodity exporting economies and developing countries frequently respond to movements in the real exchange rate as part of their monetary policies. For many central banks, this variable is the primary indicator of real activity. At the same time, smoothing the real exchange rate fluctuations has certain inflationary costs. In a way, this trade-off between inflation and the real exchange rate is identical to a standard Phillips curve. This paper derives an exact theoretical expression for this “real exchange rate based Phillips curve,” and finds empirical support for its existence in the data for a number of primary commodity exporting economies such as Australia, Canada, New Zealand and others. It turns out that the correct right-hand-side variable in the Phillips curve is not the real exchange rate itself, but rather its deviation from the fundamental value, which is a function of the international price of exported commodities. The empirical counterpart of the fundamental real exchange rate is obtained from a cointegrating equation for the real exchange rate and the countryspecific price index of exported commodities. As is frequently found in other Phillips curve studies, empirical tests point towards the accelerationist specification, which can be rationalized by dominance of adaptive expectations in price-setting behavior.
Relationship between Organisational Commitment and Demographic Variables: Evidence from a Commercial Bank in Ghana

Organisational commitment is very important for employees of every organisation. The construct has been much researched because of its impact on performance. The objective of the current study was to find out the relationship between organizational commitment and demographic variables (gender, age, qualification, experience and marital status) in Ghana. A descriptive correlation survey was employed in the study. Questionnaire was the main instrument used to gather the data for the current study. A total of 206 employees were randomly selected from 10 branches of a commercial bank in Ghana. The results showed that majority of the employees were moderately and highly committed with male workers recording the highest level of commitment compared to their female counterparts. The study further indicated that, there is evidence of significant relationship between organizational commitment and demographic variables (gender, age, qualification, experience and marital status). In conclusion, some of the organisational policies should be geared towards the improvement of employees’ commitment in order to enhance their performance.
Energy-based modelling and control of a multi-domain energy storage and management system

We give an overview of part of the chapter of the Geoplex book devoted to examples, specifically the one which deals with electromechanical systems. We study a rather complex example of a port Hamiltonian system made of two subsystems, presenting each some remarkable characteristics, namely interconnection structures which depend either on the system state or on a discontinuous control variable. The first subsystem, a doubly-fed induction machine (DFIM), like most rotating electric machinery, has a complicated, geometry depending energy function, encoding in a lumped parameter description the interaction of the stator and rotor magnetic field. After a coordinate change, this dependence can be absorbed into the intercommunication structure, resulting in a model which has the additional feature of yielding itself quite easily to the formulation of sensible control problems. The second subsystem, a back-to-back (B2B) power converter made of a rectifier and an inverter, also has, this time from the beginning, an interconnection structure which caries the topology of the system, and which can be controlled by the state of a set of switches. We describe the detailed port Hamiltonian structure of both subsystems, their interconnection and the design of suitable IDA.PBC controllers for both of them. The associated bond-graph description is also presented, and simulations using 20sim are run
FPGA Implementation of High Throughput Cache Controller

The world is now using multicore processors for development, research or real-time device purposes as they provide a better processing leading to better performance. This has attracted a number of researchers as the processors are embedded on a single chip and the performance can be easily amplified by saving the space, reducing power consumption, reducing the delay of the system. In the past years, a lot of technique shave emerged which proposes the optimization. One such important scope of optimization is the cache handling which has a considerable effect on the power, performance, and area of the processor. The problem with the cache which has to be overcome is the coherence which needs to be implementing to design a suitable and efficient technique. In this paper a new concept from which the cache controller is designed using the least recently used (LRU) cache replacement policy. Keywords— Multicore Processor, Cache, Cache
Software Quality Specification Using Markov Chain Statistical Technique

Informal software engineering methods have been using combination of diagrams, text, tables and simple notation to create analysis and design models with application of little mathematical rigour. On the other hand, formal methods allow a software engineer to create a model that is more complete, consistent, and unambiguous than those produced using conventional methods (Roger, 2005). However, it had been observed that the fundamental step in the Markov analysis of a software specification is to define the underlying probability law for the usage of the software under consideration. From an analytical point of view, this is a traceable stochastic process and a good basis for statistical testing. Also, from the software engineering point of view, definitions and properties of the model ensure the testability of the software. All the available models have their drawbacks and none of them used mathematical method, hence our Markov chain statistical approach. In this approach, the analysis of the specification, performed prior to design and coding, yields an irreducible Markov chain called Usage Markov Chain Statistics. Each usage state is labelled with a stimulus from the input domain of the software. If the control is exerted depend both on the position at time t, and position at time t-1, then , there is succession of state such that the dependency of the past state reaches a fixed distance into the past, for instance, if it reaches back three states, then it forms a Markov Chain statistical
Disruption of Metal Homeostasis and the Pathogenesis of Prion Diseases

Prion diseases are progressive neurodegenerative diseases that are associated with the conformational conversion of normal cellular prion protein (PrP C ) into abnormal pathogenic prion protein (PrP Sc ). PrP C is a metal-binding protein that is located in the synapse and possesses the ability to bind to various metals, including Cu, Zn, Mn and Fe. Moreover, increasing evidence suggests that PrP C plays essential roles in the mainte- nance of metal homeostasis in the synapse. Trace elements have a crucial influence on the conformational change of PrP C . Given that other disease-related proteins such as β -amyloid protein and its precursor protein (APP) in Alzheimer's disease also exist in the synapse and possess a metal-binding ability, an interaction between PrP and metals and between PrP and APP, may occur in the synapse; the resulting metal homeostasis may lead to the pathogenesis of prion diseases. Here, we review our studies and other new findings that inform the current understanding of the link between trace elements and physiological functions of PrP C and the neurotoxicity of PrP Sc . via the regulation of metal homeostasis and protection against free radicals. PrP C binds to the AMPA-type glutamate receptors and regulates Zn 2+ levels similar to ZIP Zn transporters. Additionally, the ZnT-1 Zn transporter is localized to postsynaptic membranes that express NMDA-type glutamate receptors and regulates Zn homeostasis. Moreover, PrP C has SOD activity and also regulates Cu 2+ levels, which influence APP processing. APP converts Cu 2+ into Cu + and regulates Cu at the synapse. PrP C has ferrireductase activity, which converts Fe 3+ to Fe 2+ . APP binds to ferroportin and thereby regulates Fe 2+ efflux. MT-3 and carnosine are released from glial cells, into synaptic clefts and are also implicated in the regulation of excess Zn. Abbreviations: ZnT-1, zinc transporter 1; AMPA-R, AMPA-type glutamate receptor; NMDA-R, NMDA-type glutamate receptor; MT-3, metallothionein 3. The accumulated PrP Sc forms Ca 2+ -permeable pores in the membrane and disrupted Ca 2+ homeostasis. The imbalance of metals at the synapse triggers conformational changes in A β P, which enhances its neurotoxicity via the formation of Ca 2+ -permeable pores. Subsequent Ca 2+ dyshomeostasis leads to neuronal death.
Prediction of Traffic Flow by an Adaptive Prediction System fmN

In a dynamic (real-time) traffic control system, the accuracy of the prediction of traffic characteristics such as flow, speed, and headway is one of the key factors affecting the performance of the system. Because the traffic characteristics can be described by stochastic processes, nonlinear and time-variate types of prediction models could be more adequate than linear or time-invariate prediction models. A traffic control system model for traffic flow is described, and the importance ofthe accuracy ofthe prediction model is emphasized. Then, the concept of adaptive prediction of traffic flow is introduced, and its mathematical derivation and the least-mean-squate algorithm are described. As an experiment to validate the adaptive prediction system, a sine function is used to simulate traffic flow as input to the adaptive prediction system. Finally, the adaptive prediction system is applied to actual traffic flow data collected from a highway network. The predicted traffic flow is then compared with the real traffic flow. The performance of the model as to its dynamic response to a step function, convergence of the adaptive prediction system, and related matters are also discussed.