Miracle-dz/UniFAR-FTUs huggingface dataset:
MACROECONOMIC INFLUENCE ON SHARES’ RETURN STUDY CASE: ARBITRAGE PRICING THEORY (APT) APPLIED ON BUCHAREST STOCK EXCHANGE

The aim of the paper is to present the influence of macroeconomic environment over the evolution of shares’ return through Arbitrage Pricing Theory (APT). As shown in previous papers, the significant macroeconomic factors differ between national economy and their influence varies over time. We applied the APT on the Bucharest Stock Exchange and determined the macroeconomic factors with influence over shares’ return. We compare our results with results of previous papers that studied the problem in other economies – the finding sustain that each economy has its own set of determinant factors. There were analyzed several sets of economic factors and results are consistent with previous papers, sustaining the importance of researcher ability to correctly determine the factors. There were identified several significant factors that explain the evolution of shares’ returns; and the amplitude of their influence. The factors that affect the shares returns are the market evolution, inflation, interest rate, currency trades, exchange rate, industry and trades evolutions.
Supremacy of quantum theory over supra-quantum models of communication

Quantum correlations can provide dramatic advantage over the corresponding classical resources in several communication tasks. However a broad class of probabilistic theories exists that attributes greater success than quantum theory in many of these tasks by allowing supra-quantum correlations in `space-like' and/or `time-like' paradigms. Here we propose a communication task involving three spatially separated parties where one party (verifier) aims to verify whether the bit strings possessed by the other two parties (terminals) are equal or not. We call this task {\it authentication with limited communication}, the restrictions on communication being: (i) the terminals cannot communicate with each other, but (ii) each of them can communicate with the verifier through single use of channels with limited capacity. Manifestly, classical resources are not sufficient for perfect success of this task. Moreover, it is also not possible to perform this task with certainty in several supra-quantum theories. Surprisingly quantum resources can achieve the perfect winning strategy. The proposed task thus stands apart from all previously known communication tasks as it exhibits quantum supremacy over supra-quantum strategies.
Optimal Inventory Policy.

WE ipropose to outline a method for deriving optimal rules of inventory policy for finished goods. The problem of inventories exists not only for business enterprises but also for nonprofit agencies such as governmental establishments and their various branches. Moreover, the concept of inventories can be generalized so as to include not only goods but also disposable reserves of manpower as well as various stand-by devices. Also, while inventories of finished goods present the simplest problem, the concept can be extended to goods which can be transformed, at a cost, into one or more kinds of finished goods if and when
The e-Linguistics toolkit

In order to achieve the objectives of the e-Humanities framework, it is necessary for individual humanities fields to take charge and to create their own specific techniques that apply to their own unique varieties of data. The e-Linguistics Toolkit is presented to aid the move of linguistics into this new digital era. We show that achieving this requires data interoperability in terms of encoding, format, and content. Once data are made interoperable, data manipulation in the form of validation and merging is necessary. As one way to ensure immediate usefulness to the ordinary working linguist, the toolkit offers data transformation services among various working formats and lays the foundations for intelligent search.
Risk Analysis of Critical Infrastructures Using Fuzzy Copras

Abstract Critical infrastructures play a significant role in countries because of the essentiality of nation security, public safety, socioeconomic security, and way of life. According to the importance of infrastructures, it is a necessity to analyze the potential risks to do not allow these risks be converted into events. The main purpose of this paper is to provide a developed framework with the aim to overcome limitations of the classical approach to build a more secure, safer, and more resilient critical infrastructures in order to develop, implement, control. The proposed framework extends conventional RAMCAP (Risk Analysis and Management for Critical Asset Protection) through introducing new parameters the effects on risk value. According to the complexity of problem and the inherent uncertainty, this research adopts the fuzzy COPRAS (COPRAS-F) as a fuzzy multi criteria decision making technique to determine the weights of each criterion and the importance of alternatives with respect to criteria. Case analysis is implemented to illustrate the capability and effectiveness of the model for ranking the risk of critical infrastructures. The proposed model demonstrates a significant improvement in comparison with conventional RAMCAP.
A combined observational and modeling approach to study modern dust transport from the Patagonia desert to East Antarctica

Abstract. The understanding of present atmospheric transport processes from Southern Hemisphere (SH) landmasses to Antarctica can improve the interpretation of stratigraphic data in Antarctic ice cores. In addition, long range transport can deliver key nutrients normally not available to marine ecosystems in the Southern Ocean and may trigger or enhance primary productivity. However, there is a dearth of observational based studies of dust transport in the SH. This work aims to improve current understanding of dust transport in the SH by showing a characterization of two dust events originating in the Patagonia desert (south end of South America). The approach is based on a combined and complementary use of satellite retrievals (detectors MISR, MODIS, GLAS, POLDER, OMI), transport model simulation (HYSPLIT) and surface observations near the sources and aerosol measurements in Antarctica (Neumayer and Concordia sites). Satellite imagery and visibility observations confirm dust emission in a stretch of dry lakes along the coast of the Tierra del Fuego (TdF) island (~54° S) and from the shores of the Colihue Huapi lake in Central Patagonia (~46° S) in February 2005. Model simulations initialized by these observations reproduce the timing of an observed increase in dust concentration at the Concordia Station and some of the observed increases in atmospheric aerosol absorption (here used as a dust proxy) in the Neumayer station. The TdF sources were the largest contributors of dust at both sites. The transit times from TdF to the Neumayer and Concordia sites are 6–7 and 9–10 days respectively. Lidar observations and model outputs coincide in placing most of the dust cloud in the boundary layer and suggest significant deposition over the ocean immediately downwind. Boundary layer dust was detected as far as 1800 km from the source and ~800 km north of the South Georgia Island over the central sub-Antarctic Atlantic Ocean. Although the analysis suggests the presence of dust at ~1500 km SW of South Africa five days after, the limited capabilities of existing satellite platforms to differentiate between aerosol types do not permit a definitive conclusion. In addition, the model simulations show dust lifting to the free troposphere as it travels south but it could not be confirmed by the satellite observations due to cloudiness. This work demonstrates that complementary information from existing transport models, satellite and surface data can yield a consistent picture of the dust transport from the Patagonia desert to Antarctica. It also illustrates the limitation of using any of these approaches individually to characterize the transport of dust in a heavily cloudy area.
JAMES S

2004Reece McGee Distinguished Professor of Psychological Sciences 2004-2008 Honors Director for the College of Liberal Arts, Purdue University 1995-2004 Professor of Psychological Sciences, Purdue University 1989-1995 Associate Professor of Psychological Sciences, Purdue University 1981-1989 Assistant/Associate Professor of Psychology, University of Texas at Arlington 1985 Visiting Assistant Professor of Psychology, University of California at Los Angeles 1977-1981 Yale University Fellowship
Multi-Criteria Model for Assessment of the Farm Tourist Services Quality

Farm tourism is one of the most important supplementary activities which generate considerable secondary income. This paper presents the developed methodology which will enable the ranking of tourist farm based on their service quality. This is accomplished through the use of the expert system based on decision making method DEXi. Using the DEXi the multi-criteria decision model for the assessment of farm tourism's service quality were developed. The model was applied in practice on 7 vacations farms. The data from the questionnaires was used as input data in the multi-attribute model and as arbitrary estimation for the farm given from guests and hosts. The results of the model are shown as the assessments for individual farm. From seven chosen farms four achieved the best possible estimation. Two of them achieved middle estimation. The last tourist farm, where the data deficit was present, the model shown two final possible estimations (very good or good and bad depends on value of missing attributes).
Optical diffraction tomography techniques for the study of cell pathophysiology

Three-dimensional imaging of biological cells is crucial for the investigation of cell biology, provide valuable information to reveal the mechanisms behind pathophysiology of cells and tissues. Recent advances in optical diffraction tomography (ODT) have demonstrated the potential for the study of various cells with its unique advantages of quantitative and label-free imaging capability. To provide insight on this rapidly growing field of research and to discuss its applications in biology and medicine, we present the summary of the ODT principle and highlight recent studies utilizing ODT with the emphasis on the applications to the pathophysiology of cells.
Expectancy confirmation in attitude learning: A connectionist account

Ohio State University, USAAbstractConnectionist computer simulation was employed to model how learners acquire attitudes towards novel objects underconditions where (a) they are given prior expectancies that the objects as a whole are mostly good or mostly bad; and(b) they can only discover the true valence of the objects by approaching them. Expectancy conﬁrmation wasoperationalized through modifying connection weights more after experiencing good than bad objects (positive bias),or more after experiencing bad than good objects (negative bias). Negative bias led the network to misclassify moregoodobjectsasbad,suchnegativeattitudesresistingchangebecauseofthelackofcorrectivefeedbackrelatingtoavoidedobjects. Conversely, positive bias encouraged approach and hence feedback leading to more accurate discrimination ofgoodandbadobjects,aswellastohigherestimatesofthevalenceofobjectsnotpresentedduringtraining. Theseﬁndingssuggest that expectancy conﬁrmation may emerge ‘‘automatically’’ from basic learning processes. Copyright # 2008John Wiley & Sons, Ltd.Compared with the large literature on the consequences of attitudes, especially for behavior and interpersonal relations,the antecedents of attitudes have receivedsurprisingly little attention. In particular, rather fewstudies have considered howattitudes are shaped by learning experiences derived from direct interaction with objects in the environment. In simpleterms, we assume that, as individuals explore their environment, they will learn, among other things, which objects aregood and which are bad, and this feedback will lead them to form positive and negative attitudes toward these objects. Atthe same time, however, the attitudes that individuals have formed will guide their exploration. In other words, they will bemore likely to choose to approach and engage with objects (or persons or activities) to which they have formed morepositiveattitudes. Thus, we may have a positiveattitude toward holidaying in a givencountry as a consequence of previousgood holidays there. Because of this positive attitude, we will also be keener to go there, and hence gain even moreexperience on which to base our attitudes. Hence, the relationship between experience and attitude formation is essentiallydynamic: attitudes are formed on the basis of feedback experiences, while at the same time such feedback experiencesdepend on behaviors that are guided by attitudes.One consequence of this dynamic relationship is an asymmetry in the learning of good and bad objects. If learnersbelievethat agivenobject is goodandattractive,theywillbemoreliketoseekoutexperiences with it,andhence obtainyetmore information about it. If they believeit to be bad and unattractive,they will be more likely to avoid it, butdoing sowilllimit the information they gain about the object’s true valence, and hence fail to learn whether their initial negativeevaluations were correct or incorrect. The implication is that learners are more likely to misclassify good objects as badthan bad objects as good.European Journal of Social PsychologyEur. J. Soc. Psychol. 38, 1023–1032 (2008)
Integrated nanoplasmonic-nanofluidic biosensors with targeted delivery of analytes

Performances of the biosensors are often limited by the depletion zones created around the sensing area which impede the effective analyte transport. To overcome this limitation, we propose and demonstrate a nanoplasmonic-nanofluidic sensor enabling targeted delivery of analytes to the sensor surface with dramatic improvements in mass transport efficiency. Our sensing platform is based on extraordinary light transmission effect in suspended plasmonic nanoholes. This scheme allows three-dimensional control of the fluidic flow by connecting separate layers of microfluidic channels through plasmonic/nanofluidic holes. To implement the proposed sensor platform, we also introduce a lift-off free nanofabrication method.
Efficient Cloud Gaming Scheme Using Scene Objects Adaptation

The last decade witnessed wide-spread of internet and on-line gaming. Improving the broadband limitations is considered one of the most important factors that led to this extent. The recently huge usage of internet applications and games also led to grow up more the usage of handhelds and smart phones as well. This improvement of internet speed with the limitations of the smart end devices led to rely more on processing games away from these limited devices to robust processing centers in a technique so-called Cloud Gaming. The growth of players number and game content request new ideas of bit rate reduction of the streaming video of these on-line games. In this paper, a new technique has been proposed to reduce the requirements needed by scene customization encoding with negligible impact on playing quality.
Impact of Leadership Styles on Employees' Organizational Commitment in Lithuanian Manufacturing Companies

Impact of Leadership Styles on Employees' Organizational Commitment in Lithuanian Manufacturing Companies This article investigates the relationship between employees' organizational commitment dimensions and leadership styles in Lithuanian manufacturing companies. The findings of the study reveal positive correlations between a transformational leadership style and affective and normative employee commitments. A laissez-faire leadership style was found to be negatively associated with employees' affective commitment.
Laparoscopic adjustable gastric banding: Effects, side effects and challenges

Discussion Lifelong care involves counselling about food choices and eating patterns, as well as adjustment of the device. The delivery of this care usually involves a multidisciplinary team. Patients should not be offered surgery unless a process for continuing care is in place. Late complications of laparoscopic adjustable gastric banding are relatively common; however, they can be readily treated in most cases, with weight loss continuing. Symptoms of volume reflux, nocturnal aspiration, dysphagia, regular regurgitation and vomiting may alert the primary care GP to complications. Abdominal pain along with any of these symptoms may suggest an acute complication, but other causes of abdominal pain should also be considered, depending on the clinical scenario. Wendy Brown MBBS(Hons), PhD, FACS, FRACS,is Associate Professor, The Centre for Obesity Research and Education, Monash University, Department of Surgery, The Alfred Hospital and The Centre for Bariatric Surgery, Melbourne, Victoria. wendy.brown@med.monash. edu.au
Hybrid Traffic Identification

Traffic classification is a key function for ISPs and companies in general. Several different classes of methods have been proposed, especially deep packet inspection (DPI) and machine learning based approaches. Each approach is in general efficient for some classes of applications. However, there is no one-fit-all method, i.e., no method that offers the best performance for all applications. In this paper, we propose a framework, called Hybrid Traffic Identification (HTI) that enables to take advantage of the merits of different approaches. Any source of information (flow statistics, signatures, etc) is encoded as a feature; the actual classification is made by a machine learning algorithm. We demonstrated that HTI is not-dependent on a specific machine learning algorithm, and that any classification method can be incorporated to HTI as its decision could be encoded as a new feature. Using multiple traces from a large ISP, we demonstrate that HTI outperforms state-of-the-art methods as it can select the best sources of information for each application to maximize its ability to detect it. We further report on an ongoing live experiment with our HTI instance in production network of the large ISP, which already represents several weeks of continual traffic classification.
DUAL POLYNOMIAL THRESHOLDING FOR TRANSFORM DENOISING IN APPLICATION TO LOCAL PIXEL GROUPING METHOD

Thresholding operators have been used successfully for denoising signals, mostly in the wavelet domain. These operators transform a noisy coefficient into a denoised coefficient with a mapping that depends on signal statistics and the value of the noisy coefficient itself. This paper demonstrates that a polynomial threshold mapping can be used for enhanced denoising of Principal Component Analysis (PCA) transform coefficients. In particular, two polynomial threshold operators are used here to map the coefficients obtained with the popular local pixel grouping method (LPG-PCA), which eventually improves the denoising power of LPG-PCA. The method reduces the computational burden of LPG-PCA, by eliminating the need for a second iteration in most cases. Quality metrics and visual assessment show the improvement.
Potato improvement for tropical conditions: I. Analysis of stability.

The development of cultivars adapted to high tropical temperatures is the chief objective of potato improvement in the tropics. To achieve this goal, it is necessary to select for more stable genotypes adapted to many environments. The objective of this research was to analyze 51 potato clones for stability regarding tuber yield, percentage of large tubers and tuber specific gravity at different sites, years and planting seasons in southern Minas Gerais state, Brazil. Clones with sound stability for all traits were selected. Greater efforts should be invested specifically into simultaneous selection for several traits under environmental stress, targeting above all the absence of physiological defects in tubers, apart from the abovementioned traits.
A competition-diffusion system with a refuge

In this paper, a model composed of two Lotka-Volterra patches is considered. The system consists of two competing species $X, Y$ and only species $Y$ can diffuse between patches. It is proved that the system has at most two positive equilibria and then that permanence implies global stability. Furthermore, to answer the question whether the refuge is effective to protect $Y$, the properties of positive equilibria and the dynamics of the system are studied when $X$ is a much stronger competitor.
In vitro Evaluation of Cytotoxic and Thrombolytic Activities of Oroxylum indicum (Linn.)

Oroxylum indicum is a species of flowering plant belonging to the family Bignoniaceae and have many medicinal properties which prompted us to evaluate its possible thrombolytic and cytotoxic activities. A quick and rapid methodology was applied to find out the thrombolytic effect of the methanol extract of leaves of O. indicum . Streptokinase and water were employed as a positive and negative control, respectively. Thrombolytic effect was expressed as percentage of clot lysis. O. indicum , streptokinase and water demonstrated 23.69 ± 6.97%, 78.41 ± 0.366% and 5.19 ± 0.241% clot lysis, respectively. Cytotoxic property was evaluated by the brine shrimp lethality bioassay and the result was expressed as LC 50 . In this study, DMSO was used as solvent and vincristine sulphate as positive control. The extract showed cytotoxicity against brine shrimp nauplii and the calculated LC 50 of O. indicum and vincristine sulphate were 251.2 μg/ml and 5.2 μg/ml, respectively. Due to the cytotoxic and thrombolytic activities, O. indicum may be regarded as a promising candidate for natural anticancer agent and should be subjected to purification processes for useful therapeutic drugs. DOI: http://dx.doi. org/10.3329/bpj.v17i1. 22319 Bangladesh Pharmaceutical Journal 17 (1): 70-74, 2014
Pulsed Radiofrequency of the Gasserian Ganglion as a Treatment of the Trigeminal Neuralgia Secondary to Herpes Zoster in Patients with Pacemaker: Case Report

The chronic pain management has always been a great challenge for physicians. Pharmacological therapy has not provided good effectiveness rates in this type of pain, and the usefulness of this therapy is limited by the side effects in many cases. This has led to the search for other alternatives for the chronic pain management. Radiofrequency rhizolysis is one of the most commonly used interventional procedures for pain relief in patients with trigeminal neuralgia. It aims to interrupt the impulses of the nerves that transmit painful sensations. Although it is an effective procedure, it is not free of complications [1]. Since the 1980s, a growing number of patients with implantable cardioverter defibrillators and pacemakers have come to pain management clinics for evaluation and treatment. The presence of these devices makes some therapy and procedures difficult due to the electromagnetic interference generated by such devices [2]. Abstract
A comparative forensic analysis of privacy enhanced web browsers and private browsing modes of common web browsers

Growing concerns regarding internet privacy has led to the development of enhanced privacy web browsers. The authors conducted a digital forensic examination, to determine the recoverable artefacts of three enhanced privacy web browsers (Dooble, Comodo Dragon and Epic) and three commonly used web browsers in anonymous browsing mode (Chrome, Edge and Firefox). In addition, the authors compared two digital forensic tools (FTK and Autopsy) commonly used by law enforcement to determine differences in recoverable browser artefacts. Results indicated the enhanced privacy browsers performed about the same as the common browsers in anonymous browsing mode. In addition, FTK was the better tool for recovering and viewing browser artefacts for both browser groups. Overall, this study did not produce sufficient evidence to conclude enhanced privacy browsers do indeed provide better privacy.