Miracle-dz/UniFAR-FTUs huggingface dataset:
The Computation of High Frequency S&P 500 Long-range Dependence Volatility Using Dynamic Modified Rescaled Adjusted Range Approach

This study evaluates the time-varying long range dependence behaviors of the S&P 500 volatility, index using the modified rescaled adjusted range (R/S) statistic which takes into account the possible covariances of the lags in the data. 5916 Chin Wen Cheong et al. Instead of a single estimation for the whole time span, the variations of the long range dependence are computed using the moving window rolling estimates approach. For a better computational result, a high frequency data set under the representation of bipower variation realized volatility is used to avoid possible abrupt jump. As for the empirical study, we have selected the period covered before and after the subprime mortgage crisis. The empirical results show that the long range dependence is influenced by the related economic events across the studied period. This time varying long range dependence analysis allow us to understand the informationally market efficiency before and after the subprime mortgage crisis.
Analysis of cartilage T2 values of the patella and trochlea derived from 3T MRI in asymptomatic subjects and the correlation with muscle strength and physical activity.

The study describes a special way of morphological imaging of the patella and trochlea cartilage in T2 weighted MRIs. As result an association between cartilage T2 relaxation time and the prevalence of cartilage lesions was found. When cartilage lesions were present, T2 values were elevated. Subjects with a higher degree of knee abnormalities and higher T2 values were prone to increased knee symptoms and thereby to a decrease of physical activity over time. In conclusion,T2 mapping is an appropriate method to evaluate early alterations of the cartilage matrix. Furthermore, results obtained on muscle revealed that when a high ratio of m. vastus lateralis to m. vastus medialis was present significantly less morphological joint abnormalities and lower T2 values were found.
The Economics of Tracking and Non-Tracking

There exists substantial variation across countries as to whether and how students are grouped in classes according to ability. Economic analyses stress that there is joint production of human capital in schools, where output increases with mean ability in the class. Ability tracking may therefore be particularly helpful for talented students. At the same time, weak students may benefit via tailored and specialised courses. The vast majority of the econometric literature suggests that tracking promotes inequality in academic achievement. By contrast, the empirical literature on the impact of tracking on average student performance is inconclusive. Only few studies find a significant association, including both positive and negative estimates.
Serological diagnosis of tuberculosis using proteins expressed from the region of difference 1 (RD1) and RD2 of mycobacterium tuberculosis as antigens

Tuberculosis is a well known public health problem. However, the diagnose of this disease usually takes too long time. And, the specificity is not good enough. So it is extremely urgent to develop a diagnose method to detect tuberculosis accurately. In this study, we used rEC (recombinant of ESAT-6 and CFP10 fusion protein) and rCM (recombinant of CFP21 and MPT64 fusion protein) as antigens in enzyme-linked immunosorbent assays (ELISA) to detect tubercular, healthy people and household contacts serum. We used fusion protein rCM and rEC to detect different group serum. We established an ELISA detecting system based on this two fusion proteins. We find an efficacious way to detect the latent Tuberculosis infection, providing a new method to detect tuberculosis.
The Effect of Tax-Deferred Retirement Saving Accounts: A Dynamic General Equilibrium Analysis

The present paper constructs a dynamic general-equilibrium OLG model with heterogeneous households and analyzes the effect of tax-deferred retirement saving accounts. When stylized 401(k)-type accounts are introduced, the government tax revenue decreases by 26% in the short run and by 15% in the long run. If the government finances these costs by a onetime income tax increase with government debt, it has to raise the marginal tax rates by 31% to make the policy change sustainable. National wealth and output will decline by 1.4% and 2.8%, respectively, in the long run, and households of all cohorts will be worse off.
Emotion Recognition Based on Brain-Computer Interface Systems

Emotions are intrinsically related to the way that individuals interact with each other as well as machines [1]. A human being can understand the emotional state of another human being and behave in the best manner to improve the communication in a certain situation. This is because emotions can be recognized through words, voice intonation, facial expressions and body language. In contrast, machines cannot understand the feelings of an individual.
On Asymmetric Effects in a Monetary Policy Rule: The Case of Poland

Asymmetric effects in a monetary policy rule could appear due to asymmetric preferences of the central bank or/and due to nonlinearities in the economic system. It might be suspected that monetary authorities are more aggressive to the inflation rate when it is above its target level than when it is below. It also seems probable that monetary authorities have different preferences and react more strongly when the level of economic activity is low than when it is high. In this paper we investigate whether the reaction function of the National Bank of Poland (NBP) is asymmetric according to the level of inflation gap and the level of output gap. Moreover, we test whether these asymmetries might possibly stem from the nonlinearities in the Phillips curve. Threshold models are applied and two cases of unknown and known threshold value are investigated.
Fecundity and egg volume in Norway lobster ( Nephrops norvegicus ) from different depths in the northern Tyrrhenian Sea

The relationships between fecundity and egg volume of Norway lobster ( Nephrops norvegicus ) inhabiting three different depth ranges (200-300, 350-450, and 500-550 m) in the North Tyrrhenian Sea (western Mediterranean) were compared. Fecundity was not dependent on depth and egg volume did not vary with female size. The egg volume of females collected in the shallowest areas (200-450 m) was instead significantly larger than that collected in deeper waters (500-550 m). Possible explanations for this fact are examined.
EXTENDED RANSAC ALGORITHM FOR AUTOMATIC DETECTION OF BUILDING ROOF PLANES FROM LIDAR DATA

Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city. Once the 3D lidar data are available, the next task is the automatic data processing, with major aim to construct 3D building models. Among the numerous automatic reconstruction methods, the techniques allowing the detection of 3D building roof planes are of crucial importance. For this purpose, this paper studies the Random Sample Consensus (RANSAC) algorithm. Its principle and pseudocode - seldom detailed in the related literature - as well as its complete analyse are presented in this paper. Despite all advantages of this algorithm, it gives sometimes erroneous results. That can be explained by the fact that it uses a pure mathematical principle for detecting the roof planes. So it looks for the best plane without taking into account the particularity of the captured object. The extended RANSAC algorithm proposed in this paper allows harmonizing the mathematical aspect of the algorithm with the geometry of a roof. It is shown that the extended approach provides very satisfying results, even in the case of very weak point density and for different levels of building complexity. Moreover, the adjacency relationships of the neighbouring roof planes are described and analysed. Hence the roof planes are successfully detected and adjacency relationships of the adjacent roof planes are calculate. Finally the automatic building modelling can be carried out easily.
The impact of personality on transfer of training through motivation: A Longitudinal Model

Amidst the researchers acknowledgement that learning is a key process that leads to successful innovations i.e., organization‟s competitive advantage, learning in organizations has been related with generation of knowledge and its demonstration by individuals collectively for creating new value for the organization. Moreover, researchers of late have started recognizing the impact of individual characteristics as a means of study for understanding its usefulness in the effective application/transfer of the acquired knowledge, skills and abilities for gaining the desired competitive advantage through the process of learning. In an effort to ascertain the effect of personality characteristics on transfer of learning through motivation to learn therefore, a longitudinal study was undertaken on a sample of 517teacher trainees serving the state of J&K. The results indicated that neither personality traits (conscientiousness, openness to experience, internal locus of control) nor motivation facet (motivation to learn) predicted transfer of training directly as well as indirectly. The insignificant relationship between trait input variable and state outcome variables helped to ascertain that during and after human resource development intervention the implications of time factor attains much more importance in revealing when training works. The implications of the results are discussed and the limitations of the study are noted, along with suggested avenues for future research.
Concepções da masculinidade: suas associações com os valores e a honra

DOI: 10.12957/psi.saber. soc.2015. 14840 RESUMO: Este trabalho objetivou investigar a relacao entre concepcoes de masculinidade, a preocupacao com a honra e os valores humanos entre homens e mulheres. Para tanto, dois estudos foram realizados. No Estudo 1, participaram 275 pessoas da populacao geral, entre 17 e 49 anos (M=22,00; DP=5,03), sendo o grupo composto em sua maioria por mulheres (56,8%), catolicas (44,8%) e moradoras da Grande Vitoria – ES (60,2%). No Estudo 2, participaram 220 respondentes, em sua maioria mulheres (53,4%), entre 17 e 65 anos (M = 27; DP=8,35). Do total, 35% afirmaram ser catolicos, moradores do sudeste do Brasil (55%). Os participantes responderam a Escala de Concepcoes da Masculinidade, Escala de Preocupacao com a Honra HS-16, o Questionario de Valores Basicos e questoes sociodemograficas. Os dados foram analisados por meio da realizacao de analises de correlacao de Pearson (Estudo 1) e regressoes multiplas (Estudo 2) e os resultados sugeriram a manutencao de uma visao hegemonica da masculinidade, reforcando concepcoes tradicionais de genero em nossa sociedade. Palavras-chave: genero; masculinidade; honra; valores. ABSTRACT: This research aimed at investigating the relationship among conceptions of masculinity, honor concerns and human values for men and women. To test these associations, two studies were conducted. In Study 1, participants were 275 people from general population with ages ranging from 17 to 49 years (M = 22.00, SD = 5.03), consisting mostly of women (56.8%), Catholic (44 8%) and residents of Grande Vitoria - ES (60.2%). In Study 2, participants were 220 people, mostly women (53.5%), between 17 and 65 years of age (M = 27; SD = 8.35). From the total group, 35% were Catholics and residents in the Southeast of Brazil (55%). Participants answered the Conceptions of Masculinity Scale, the Honor Scale HS-16, the Basic Values Questionnaire, and sociodemographic questions. Data were analyzed by performing Pearson correlation analysis (Study 1) and multiple regressions (Study 2) and the findings suggest the maintenance of a hegemonic view of masculinity, reinforcing traditional gender roles in our society. Keywords: gender; masculinity; honor; values.
Design a Security Firewall Policy to Filter Incoming Traffic in Packet Switched Networks Using Classification Methods

Firewalls are core elements in network security. However, managing firewall rules, especially for enterprise networks, has become complex and error-prone. Firewall filtering rules have to be carefully written and organized in order to correctly implement the security policy. In addition, inserting or modifying a filtering rule requires to overcome and filter a range of special attacks or issues in network. In this paper, we present a machine learning based algorithm that filter Denial of Service (DoS) attacks in networks. This filtering algorithm has been designed by using a classification algorithm based on principal component and correlation based filters. We show good quality and performance of our algorithm experimentally by executing our algorithm on a several packet flow data sets.
Classification and Comparison of EMI Mitigation Techniques in Switching Power Converters – A Review

Power electronic systems such as switching power supplies are accounted as noise sources for other sensitive circuits. EMI caused by power converters can disturb the normal operation of the converter and other adjacent systems. Major research is concentrated on EMI mitigation for power converters in which the main concern is compliance with EMC standards to ensure proper operation of converters and nearby systems. This paper reviews EMI reduction techniques related to switching power converters with emphasis on the conducted EMI. A comprehensive review of significant research works is performed and various methods are thoroughly discussed and compared. Also, a classification of methods is presented. Moreover, converter prototypes are realized which contain several EMI mitigation techniques and their effects are presented via experimental results.
Atom Trap Trace Analysis of Calcium Isotopes

Het zoeken naar een calcium-41 atoom is als het zoeken naar een speld die verborgen kan zijn in niet een hooiberg, maar wel duizend hooibergen. In zijn promotieonderzoek werkte Steven Hoekstra aan een methode waarmee die speld toch binnen afzienbare tijd opgespoord kan worden. Calcium-41, kortweg 41Ca, is een zogenaamd sporenelement. Het kunnen detecteren ervan kan om uiteenlopende redenen nuttig zijn, bijvoorbeeld in biomedisch onderzoek aan botontkalking. Maar het zou ook een manier kunnen zijn om oude botten te dateren, vergelijkbaar met de bekende koolstofdateringsmethode. De experimentele methode waaraan Hoekstra werkte heet Atom Trap Trace Analysis (ATTA) en is gebaseerd op de interactie tussen atomen en laserlicht. Met behulp van dit laserlicht worden de verschillende calciumisotopen gescheiden en uiteindelijk gevangen in een ‘magneto-optische val’. Die bestaat uit een combinatie van zes laserbundels met een magnetisch veld. In de val kunnen we de verschillende calciumisotopen met grote gevoeligheid detecteren. Zelfs is het gelukt het uiterst zwakke signaal van een enkel atoom te meten. De huidige stand van zaken is dat de opstelling voldoende gevoelig voor de genoemde biomedische toepassing. Hiervoor kunnen monsters worden gebruikt die verrijkt zijn met extra 41Ca. Uit berekeningen van Hoekstra blijkt dat door het gebruik van extra laser-vermogen de efficientie van de opstelling nog verhoogd kan worden. Dat zou de opstelling ook voor de andere genoemde toepassing, radiocalciumdatering, geschikt maken.
Microwave detection of cracks in buried pipes using the complex frequency technique

─ This work outlines a new technique for detecting cracks in buried pipes using scattered fields. The Matrix Pencil Method (MPM) is applied on synthetic data to extract the natural frequency poles. A 50 cm long hollow pipe, 2.5 cm in diameter and 5 mm in thickness is considered. Cracks of arc lengths of 6 cm and 4 cm with a width of 0.5 mm are introduced into the metallic pipes. It is shown that the MPM has the capability to extract distinctive poles associated with these cracks even when the pipe is hidden behind plywood, buried in sand or when the synthetic data is corrupted with random noise of 10 dB signal to noise ratio. Index Terms ─ Complex frequency, crack, GPR, detect, Matrix Pencil Method.
Keyword Extraction Based on Selectivity and Generalized Selectivity

This chapter presents a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate ranking and extraction. The selectivity slightly outperforms an extraction based on the standard centrality measures. Therefore, the selectivity and its modification – generalized selectivity as the node centrality measures are included in the SBKE method. Selectivity-based extraction does not require linguistic knowledge as it is derived purely from statistical and structural information of the network and it can be easily ported to new languages and used in a multilingual scenario. The true potential of the proposed SBKE method is in its generality, portability and low computation costs, which positions it as a strong candidate for preparing collections which lack human annotations for keyword extraction.
In-cylinder study of the formation, autoignition and soot production of diesel sprays at elevated pressures

The effects of in-cylinder and injection pressures on the formation and combustion of diesel sprays at realistic automotive in-cylinder conditions was investigated. By combining the results obtained with high-speed video of the liquid phase, high-speed schlieren video of the vapour phase, high-speed video of autoignition and laser-induced incandescence (LII) of soot, a detailed observation of the combustion processes was obtained for elevated in-cylinder and injection pressures. The spray dispersion angles, tip penetrations with time, autoignition delays and relative soot concentrations were measured for a range of injection and in-cylinder pressures. The tests were performed on a single-cylinder diesel rapid compression machine with optical access to the combustion chamber. A common rail injection system was used with an injector mounted with a single-hole VCO type nozzle. The injection pressure was varied from 60 to 160 MPa, the in-cylinder pressure and temperature at top dead centre from 6 to 10 MPa and from 540 to 720 K, respectively. The results obtained from the various measurement techniques were combined in order to produce a comprehensive observation of diesel spray development and combustion.
The Effect of the Land Use/Cover Changes on the Floods of the Madarsu Basin of Northeastern Iran

In order to understand the effect of the land use/cover change on the hydrologic regime of the Madarsu Basin in Golestan province of Iran, we selected the two floods of June 1964 and June 2003 with equal amount of rainfall but different rate of runoff. For these floods the closest time images of MODIS were selected. On these images we analyzed the land use/cover types and calculated their area and change rate between two floods. We also calculated the Curve Number (CN) for each land use/cover type according to the US Soil Conservation System (SCS) model. The results showed that: the intensity of the peak floods has increased from 1960 to 2002, and the natural lands of forests, rangelands, and bare lands have been decreased from 1960 to 2002. While the agricultural lands showed increase during the same period. The CN value has also increased during the study period causing the decrease of moisture retention capacity of the soil. As a result, despite the equal rainfall, the discharge rate of 2003 flood was about 10 times larger than that of the 1964 flood, which is the direct effect of the land use/cover change from the stable forests and rangelands to the unstable agricultural lands on the both soil moisture retention capacity and run off rate.
Darke Side of Social Capital Social Preferences and Corruption

Using the principal-agent- supervisor paradigm, this paper examines the occurrence of collusion in a setting where the principal has no information about the supervisor and the agent does not necessarily know the supervisor’s preferences. We formally prove the occurrence of collusion is more likely when the agent has information about the supervisor. This result suggests that corruption, which is likely to emerge in long term reciprocal relationships between public officials and potential bribery, may be reduced by the means of staff rotation. Evidence from an experimental study supports this proposition
97-105 Shariati M.pmd

Microalgae assimilate different types of nitrogen by interacting in different areas. The interactive effect of uptake rate and biomass production of Chlorella vulgaris was investigated under summer and fall environmental conditions. C. vulgaris was cultivated in a media containing 1 mM NH4Cl, 0.5 mM NH4Cl + 0.5 mM KNO3, and 1 mM KNO3 as the nitrogen source. Nitrate and ammonium was more rapidly utilized when both were available. C. vulgaris preferred ammonium to nitrate in the fall condition, but both nitrate and ammonium were completely assimilated in the summer condition. The uptake rate of nitrate and ammonium in the summer condition was significantly higher (p < 0.01) than in the fall condition and the summer/ fall ratio for nitrate uptake (290%) was significantly higher (p < 0.01) than for ammonium (120%). In all experiments, biomass production in the summer condition was significantly higher than fall condition (p < 0.01). The highest biomass was during the summer condition (5 g/l (f wt)) from the medium containing NO3 as the nitrogen source. C. vulgaris recorded faster growth in the NO3 and (NO3 + NH4) media than in the NH4 medium. The summer/fall ratio of biomass production was 235%, 300%, and 265% for the media containing NO3, NH4, and (NO3 + NH4), respectively.
Regulation of heme oxygenase-1 induction during recurrent insulin induced hypoglycemia

Background: Recurrent insulin induced hypoglycemia (RIIH) is an unavoidable risk of conventional therapeutic management of insulin dependent diabetes mellitus and is a primary cause of impaired glucose counter regulation. Circulating angiotensin II (AngII) has been reported to be elevated in diabetic models, and is linked to the promotion of hypertension. Objective: The current study was performed to evaluate the hypothesis that chronic insulin injections and/or hypoglycemia promotes hypertension via an increase in AngII, which increases endogenous carbon monoxide (CO) through an induction in heme oxygenase (HO-1). Methods: Male Sprague Dawley rats (200 – 250g) were treated for 2 weeks with daily injections of 7U/kg insulin or diluent. On the 14 th day, surgery was performed and rats were administered various doses of captopril (2mg/kg, 8mg/kg, and 12mg/kg) or vehicle. Following the dose evaluation, subsets of previously treated animals were treated with vehicle, DALA (80µg/kg), Captopril (12mg/kg) or a combination of DALA (80µg/kg) + CAP (12mg/kg). Results: A dose dependent decrease in blood pressure was observed during captopril treatment in RIIH hypertensive rats. However, there was no change in urine output among the treatment groups. Captopril and DALA+CAP treatments produced a reduction in blood pressure as compared to animals treated with DALA alone. Carboxyhemoglobin and AngII concentrations were also reduced in animals treated with captopril and DALA+CAP. In addition, HO-1 protein levels in heart and kidney were reduced when compared to DALA treated animals. Conclusion: These results demonstrate that RIIH promotes an increase in circulating AngII and hypertension via an induction in HO-1, which significantly increases endogenous CO levels.