Miracle-dz/UniFAR-FTUs huggingface dataset:
Positioning a Mobile Subscriber in a Cellular Network System based on Signal Strength

In this paper the study has been carried out for finding the position of a mobile subscriber from a network independent brokers’ point of view. As each mobile device monitors signal strength, this helps in assisting the network to take timely handoff decisions. These signal strength measurements are referred to as NMR (Network Measurement Report). A detailed study was conducted to analyze the use of such parameters to locate a user under the coverage area of a BTS used in a cellular network. Use of these parameters implies that such a system work in a network independent manner. This paper discusses the issues in the implementation of such a system and includes the statistics collected using the simulation tool OPNET [1].
On the Stellar Populations in Faint Red Galaxies in the Hubble Ultra Deep Field

We study the nature of faint red-selected galaxies at z ∼ 2-3 using the Hubble Ultra Deep Field (HUDF) and Spitzer Infrared Array Camera (IRAC) photometry. Given the magnitude limit of the HST data, we detect candidate galaxies to HAB < 26 mag, probing lower luminosity (lower mass) galaxies at these redshifts. We identify 32 galaxies satisfying the (J110 − H160)AB > 1.0 mag color selection, 16 of which have unblended [3.6 μm] and [4.5 μm] photometry from Spitzer. Using this multiwavelength data set, we derive photometric redshifts, masses, and stellar population parameters for these objects. We find that the selected objects span a diverse range of properties over a large range of redshifts, 1≲ z≲ 3.5. A substantial fraction (11/32) of the (J110 − H160)AB > 1.0 mag population appear to be lower redshift (z≲ 2.5), heavily obscured dusty galaxies or edge-on spiral galaxies, while others (12/32) appear to be galaxies at 2≲ z≲ 3.5 whose light at rest-frame optical wavelengths is dominated by evolved stellar populations. We argue that longer wavelength data (≳1 μm, rest frame) are essential for interpreting the properties of the stellar populations in red-selected galaxies at these redshifts. Interestingly, by including Spitzer data, many candidates for galaxies dominated by evolved stellar populations are rejected, and for only a subset of the sample (6/16) do the data favor this interpretation. These objects have a surface density of ~1 arcmin−2. We place an upper limit on the space density of candidate massive evolved galaxies with 2.5 < z < 3.5 and HAB 160 ⩽ 26 mag of n = 6.6+ 2.0−3.0 × 10−4 Mpc−3, with a corresponding upper limit on the stellar mass density of ρ* = 5.6+ 4.4−2.8 × 107 M☉ Mpc−3. The z > 2.5 objects that are dominated by evolved stellar populations have a space density at most one-third that of z ∼ 0 red early-type galaxies. Therefore, at least two-thirds of present-day early-type galaxies assemble or evolve into their current configuration at redshifts below 2.5. We find a dearth of candidates for low-mass (≲2 × 1010 M☉) galaxies at 1.5 < z≲ 3 that are dominated by passively evolving stellar populations even though the data should be sensitive to them; thus, at these redshifts, galaxies whose light is dominated by evolved stellar populations are restricted to only those galaxies that have assembled high stellar mass.
Decreased neuronal activity in reward circuitry of pathological gamblers during processing of personal relevant stimuli

Pathological gamblers impress by an increasing preoccupation with gambling, which leads to the neglect of stimuli, interests, and behaviors that were once of high personal relevance. Neurobiologically dysfunctions in reward circuitry underlay pathological gambling. To explore the association of both findings, we investigated 16 unmedicated pathological gamblers using an fMRI paradigm that included two different tasks: the evaluation of personal relevance and a reward task that served as a functional localizer. Pathological gamblers revealed diminished deactivation during monetary loss events in some of our core reward regions, the left nucleus accumbens and the left putamen. Moreover, while pathological gamblers viewed stimuli of high personal relevance, we found decreased neuronal activity in all of our core reward regions, including the bilateral nucleus accumbens and the left ventral putamen cortex as compared to healthy controls. We demonstrated for the first time altered neuronal activity in reward circuitry during personal relevance in pathological gamblers. Our findings may provide new insights into the neurobiological basis of pathological gamblers' preoccupation by gambling. Hum Brain Mapp, 2010. © 2010 Wiley‐Liss, Inc.
Track-based hybrid service discovery in mobile ad-hoc networks

Service discovery is a challenging task in mobile ad-hoc networks which are characterized by their dynamic, infrastructure-less and bandwidth-limited nature. The goal of this paper is to develop a bandwidth efficient approach for service discovery in mobile ad-hoc networks. The main contribution of this paper is a novel track-based hybrid service discovery scheme. The proposed scheme performs service discovery based on the one dimensional proactive structure (e.g. tracks), instead of the existing two dimensional proactive structures (e.g. zones). This scheme can lead to reduced proactive traffic due to its light-weight organization of the hybrid structure. The density of proactive tracks is adapted to network traffic pattern dynamically for less proactive traffic. We simulated the Track-based approach in ns-2 network simulator with various network scales and mobility, and compared the performance with pure reactive (e.g. flooding) and Zone-based hybrid (e.g. bordercasting) protocols. Preliminary results show that, the track:-based approach achieved better efficient trade-offs between control packet overhead and querying success rate with minimal proactive costs among all the approaches compared
Evaluation of Antioxidant Activities of Ampelopsin and Its Protective Effect in Lipopolysaccharide-Induced Oxidative Stress Piglets

The aim of this study was to investigate the antioxidant potential of ampelopsin (APS) by using various methods in vitro, as well as to determine effects of APS on LPS-induced oxidative stress in piglets. The results showed that APS exhibited excellent free radical scavenging by DPPH, ABTS, O2•−, H2O2 and ferric reducing antioxidant power. Ampelopsin also protected pig erythrocytes against AAPH-induced apoptosis and hemolysis, decreased total superoxide dismutase activity, and increased lipid peroxidation. Furthermore the results demonstrated that APS enhanced the total antioxidant capacity and decreased the malondialdehyde and protein carbonyl contents in LPS-treated piglets. The results of the present investigation suggest that APS possesses a strong antioxidant activity and alleviates LPS-induced oxidative stress, possibly due to its ability to prevent reactive oxygen species.
Cline: A New Decision-Tree Family

A new family of algorithm called Cline that provides a number of methods to construct and use multivariate decision trees is presented. We report experimental results for two types of data: synthetic data to visualize the behavior of the algorithms and publicly available eight data sets. The new methods have been tested against 23 other decision-tree construction algorithms based on benchmark data sets. Empirical results indicate that our approach achieves better classification accuracy compared to other algorithms.
ATP-dependent potassium channels are implicated in simvastatin pretreatment-induced inhibition of apoptotic cell death after renal ischemia/reperfusion injury

Background: Simvastatin is a widely used medication in cardiac care. Here we evaluate the role of ATP sensitive potassium (KATP) channels in simvastatin induced renal protection after renal ischemia/reperfusion (I/R) injury. Methods: A total of 81 male Wistar rats, were treated with simvastatin (10 and 20mg/kg/day; gavage, one week). Some groups received glibenclamide (KATP channel inhibitor; 5mg/kg) before ischemia (45min) and reperfusion (24h). Finally the kidneys were processed for histological analysis and measurement of biochemical parameters including tissue malondialdehyde (MDA), blood urea nitrogen (BUN), fractional excretion of sodium (FENa), creatinine clearance rate (CCr) and Bcl2-associated X protein (Bax) expression. Results: IR significantly increased serum Cr (p< 0.01) and BUN levels (p< 0.01), elevated FENa (p<0.01) and tissue MDA (p<0.01), and decreased CCr (p< 0.01) and induced histological damage. Bax pro-apoptotic protein was upregulated in renal tissue after I/R injury and downregulated in simvastatin pretreated group. Simvastatin at doses of 10 and 20mg/kg/day significantly reduced serum Cr and BUN levels (p< 0.05 vs. IR group), tissue MDA contents and FENa (p< 0.05 vs. I/R) and increased CCr (p< 0.05 vs. IR). Renal tissue injury was improved only in simvastatin 20mg/kg/day group (p< 0.05). Glibenclamide significantly abolished protective effects of simvastatin and increased serum Cr and BUN and FENa and decreased CCr (p< 0.05). It also abolished the effects of simvastatin on tissue injury and MDA contents and downregulated the Bax protein after IR injury (p< 0.05). Conclusion: Opening of KATP channels is essential for simvastatin-induced renal protection against I/R injury.
The Effect of Application of Biological Phosphate Fertilizer (Fertile 2) and Triple Super Phosphate Chemical Fertilizers on Some Morphological Traits of Corn (SC704)

In order to study the effect of different levels of triple super phosphate chemical fertilizer and biological phosphate fertilizer (fertile 2) on some morphological traits of corn this research was carried out in Ahvaz in 2002 as a factorial experiment in randomized complete block design with 4 replications). The experiment included two factors: first, biological phosphate fertilizer (fertile 2) at three levels of 0, 100, 200 g/ha; second, triple super phosphate chemical fertilizer at three levels of 0, 60, 90 kg/ha of pure phosphorus (P2O5). The obtained results indicated that fertilizer treatments had a significant effect on some morphological traits at 1% probability level. In this regard, P2B2 treatment (100 g/ha biological phosphate fertilizer (fertile 2) and 60 kg/ha triple super phosphate fertilizer) had the greatest plant height, stem diameter, number of leaves and ear length. It seems that in Ahvaz weather conditions, decrease of consumption of triple superphosphate chemical fertilizer to less than a half along with the consumption of biological phosphate fertilizer (fertile 2) is highly important in order to achieve optimal results. Therefore, it can be concluded that biological fertilizers can be used as a suitable substitute for some of the chemical fertilizers in sustainable agricultural systems. Keywords—Biological phosphate fertilizer, corn (SC704), morphological, triple super phosphate.
One parser to rule them all

Despite the long history of research in parsing, constructing parsers for real programming languages remains a difficult and painful task. In the last decades, different parser generators emerged to allow the construction of parsers from a BNF-like specification. However, still today, many parsers are handwritten, or are only partly generated, and include various hacks to deal with different peculiarities in programming languages. The main problem is that current declarative syntax definition techniques are based on pure context-free grammars, while many constructs found in programming languages require context information. In this paper we propose a parsing framework that embraces context information in its core. Our framework is based on data-dependent grammars, which extend context-free grammars with arbitrary computation, variable binding and constraints. We present an implementation of our framework on top of the Generalized LL (GLL) parsing algorithm, and show how common idioms in syntax of programming languages such as (1) lexical disambiguation filters, (2) operator precedence, (3) indentation-sensitive rules, and (4) conditional preprocessor directives can be mapped to data-dependent grammars. We demonstrate the initial experience with our framework, by parsing more than 20000 Java, C#, Haskell, and OCaml source files.
Predicting community attitudes towards asylum seekers: A multi‐component model

Objective The current study investigated the role of cognitive, affective, and behavioural information in the prediction of overall attitudes towards asylum seekers. Method A sample of 98 Australian adults participated in an online self‐report questionnaire where participants generated their cognitive, affective, and behavioural factors towards asylum seekers and then rated those factors on a continuum from ‘positive’ to ‘negative’. Results Multiple regression analysis confirmed the primary role of cognitive, then affective, factors in predicting attitudes towards asylum seekers. Cognitive information accounted for a moderate, significant 31.92% of the variance in overall attitudes towards asylum seekers. The unique variance contributed by affective information accounted for a small but significant 3.46% of the variance in overall attitudes; the unique variance contributed by behavioural information was not significant. Conclusions The results provide a holistic theoretical basis for the assertion that community attitudes towards asylum seekers are based primarily on cognitive evaluations of the minority group. These findings have implications for changing community attitudes towards people seeking asylum in Australia.
Partial Structure and Mapping of the Human Myelin P2 Protein Gene

Abstract: The myelin P2 protein, a 14,800‐Da cytosolic protein found primarily in peripheral nerves, belongs to a family of fatty acid binding proteins. Although it is similar in amino acid sequence and tertiary structure to fatty acid binding proteins found in the liver, adipocytes, and intestine, its expression is limited to the nervous system. It is detected only in myelin‐producing cells of the central and peripheral nervous systems, i.e., the oligodendrocytes and Schwann cells, respectively. As part of a program to understand the regulation of expression of this gene, to determine its function in myelin‐producing cells, and to study its role in peripheral nerve disease, we have isolated and characterized overlapping human genomic clones encoding the P2 protein. We report here on the partial structure of this gene, and on its localization within the genome. By using a panel of human‐hamster somatic cell hybrids and by in situ hybridization, we have mapped the human P2 gene to segment q21 on the long arm of chromosome 8. This result identifies the myelin P2 gene as a candidate gene for autosomal recessive Charcot‐Marie‐Tooth disease type 4A.
Evaluation of Machine Learning Frameworks on Bank Marketing and Higgs Datasets

Big data is an emerging field with different datasets of various sizes are being analyzed for potential applications. In parallel, many frameworks are being introduced where these datasets can be fed into machine learning algorithms. Though some experiments have been done to compare different machine learning algorithms on different data, these experiments have not been tested out on different platforms. Our research aims to compare two selected machine learning algorithms on data sets of different sizes deployed on different platforms like Weka, Scikit-Learn and Apache Spark. They are evaluated based on Training time, Accuracy and Root mean squared error. This comparison helps us to decide what platform is best suited to work while applying computationally expensive selected machine learning algorithms on a particular size of data. Experiments suggested that Scikit-Learn would be optimal on data which can fit into memory. While working with huge, data Apache Spark would be optimal as it performs parallel computations by distributing the data over a cluster. Hence this study concludes that spark platform which has growing support for parallel implementation of machine learning algorithms could be optimal to analyze big data.
Imagem e identidade turísticas relacionadas às práticas e bens culturais percebidas pelos residentes: perspectivas a partir da cidade de Blumenau, Santa Catarina, Brasil

Proposal: The growth of tourism leads to a large increase of tourism products offered in the market. Before travel decision making, and among the many options available, the tourist seeks information about the various destinations. The destination image created in this search process is a key driver for tourists . Despite the variety of factors that make up a given destination image , the cultural identity is composed of the destination own heritage. Also, to create an identity of a place involves the participation of the residents of the destination. Objective: This study seeks to analyze the brewing culture, as a possible cultural identity of the city of Blumenau and therefore considers the attitudes of the residents . Methodological Design: The research is considered exploratory and descriptive, with quantitative approach. From the review of the literature on the subject, we established twelve hypotheses. We performed data collection and analysis using the following statistical procedures: Cronbach's Alpha, Spearman's correlation, and the hypothesis test, using SSPS software. Results: The results obtained in the research, confirmed seven of the twelve hypotheses, indicating the existence of positive relations between the influence of the habits of the residents and the dimensions of the identity of Blumenau. Originality: It is concluded that it is possible to use the brewery culture as a cultural identity of the city, thus suitable for tourism promotion.
International Evidence on Recovery from Recessions

Although negative shocks have persistent effects on output on average, this paper shows that macroeconomic policies and the structure of the economy can influence the speed of recovery and mitigate the persistence of the shock. Indeed, monetary and fiscal stimulus and foreign aid can spur a rebound, with impacts that are asymmetrically stronger than in nonrecovery years. Real depreciation and the exchange rate regime also have asymmetric growth effects in a recovery year relative to other years of expansion. Recoveries are more sluggish in open economies, partly because fiscal policy is less effective than in closed economies.
Barroom aggression perpetration by Australian women: Associations with heavy episodic drinking, trait aggression, and conformity to gender norms

ABSTRACT Heavy episodic drinking (HED), trait aggression, and conformity to masculine norms increase the risk of barroom aggression (BA) perpetration in men; however, research examining these factors relative to female BA perpetration is lacking. This study assessed the associations of HED, trait aggression, and conformity to masculine and feminine norms with BA perpetration in Australian women. Female university students (N = 148) aged 18–54 (Mage = 24.19; SDage = 6.84) completed an online questionnaire including measures of BA perpetration and HED, as well as the Brief Aggression Questionnaire, the Conformity to Feminine Norms Inventory (CFNI), and the Conformity to Masculine Norms Inventory (CMNI). Negative binomial regression analyses found HED, trait aggression, and the Violence and Playboy subscales of the CMNI were positively associated with BA perpetration, while the Domestic and Sexual Fidelity subscales of the CFNI were negatively associated with BA perpetration. Norms supporting the use of violence and having multiple sexual partners are associated with increased likelihood of female BA perpetration, while norms valuing domesticity and monogamy are associated with decreased likelihood of female BA perpetration. These findings suggest BA perpetration by women is related to how much they drink, trait aggression, and socialized gender norms.
Understanding Postpartum Depression from a Structural Family Theory Perspective: Examining Risk and Protective Factors

This study examined pregnancy risk and protective factors for developing postpartum depression from a structural family theory lens. The purpose of this study was to (1) examine previously identified pregnancy stressors to learn which stressors put women more at risk for postpartum depression and (2) to identify possible buffers for women who are at risk for developing postpartum depression. In this paper, two analyses were proposed. Analysis I, uses a hierarchal regression analysis to examine the impact of couple related stress on postpartum depression. Analysis II uses moderated multiple regression to test factors during pregnancy which may protect at-risk women from postpartum depression symptoms. Three post-hoc exploratory analyses were conducted following the originally proposed analyses. Secondary data was used in this study. The data was collected in four large urban hospitals in Utah from 2005-2007 and included 1568 women. The results of these analyses illustrate the importance of conceptualizing postpartum depression from a family systems perceptive. Specifically, this study shows that a couple’s relationship, depending on the stress level experienced in the relationship, can be both a risk and protective factor for pregnant women.
Functional Recovery of Stroke Rats Induced by Granulocyte Colony-Stimulating Factor–Stimulated Stem Cells

Background—Stroke is a leading cause of death and disability worldwide; however, no effective treatment currently exists. Methods and Results—Rats receiving subcutaneous granulocyte colony-stimulating factor (G-CSF) showed less cerebral infarction, as evaluated by MRI, and improved motor performance after right middle cerebral artery ligation than vehicle-treated control rats. Subcutaneous administration of G-CSF enhanced the availability of circulating hematopoietic stem cells to the brain and their capacity for neurogenesis and angiogenesis in rats with cerebral ischemia. Conclusions—G-CSF induced increases in bone marrow cell mobilization and targeting to the brain, reducing the volume of cerebral infarction and improving neural plasticity and vascularization.
Diamagnetic Blob Interaction Model of T Tauri Variability

Assuming a diamagnetic interaction between a stellar spot-originated localized magnetic field and gas blobs in the accretion disk around a T Tauri star, we show the possibility of ejection of such blobs out of the disk plane. Choosing the interaction radius and the magnetic field parameters in a suitable way gives rise to closed orbits for the ejected blobs. A stream of matter composed of such blobs, ejected on one side of the disk and impacting on the other, can form a hot spot at a fixed position on the disk (in the frame rotating with the star). Such a hot spot, spread somewhat by disk shear before cooling, may be responsible in some cases for the light-curve variations observed in various T Tauri stars over the years. An eclipse-based mechanism due to stellar obscuration of the spot is proposed. With the assumption of high disk inclination angles, it is able to explain many of the puzzling properties of these variations. By varying the field parameters and blob initial conditions, we obtain variations in the apparent angular velocity of the hot spot, producing a constantly changing period or intermittent periodicity disappearance in the models.