Miracle-dz/UniFAR-FTUs huggingface dataset:
High Frequency Power Distribution Unit (HFPDU) for MRI systems

To reduce the cost and footprint of a Magnetic Resonant Imaging (MRI) scanner setup in a hospital, a modification in the existing power architecture of the MRI system has been proposed. A high frequency alternative for the frontend bulky low frequency transformer has been proposed. The implementation challenges and workaround solutions for the High Frequency Power Distribution Unit (HFPDU) has been explored and the experimental setup and results are discussed in the paper.
X-RAY EMISSION FROM MASSIVE STARS IN CYG OB2

We report on the analysis of the Chandra-ACIS data of O, B, and WR stars in the young association Cyg OB2. X-ray spectra of 49 O-stars, 54 B-stars, and 3 WR-stars are analyzed and for the brighter sources, the epoch dependence of the X-ray fluxes is investigated. The O-stars in Cyg OB2 follow a well-defined scaling relation between their X-ray and bolometric luminosities: log L X L bol = − 7.2 ± 0.2 ? > . This relation is in excellent agreement with the one previously derived for the Carina OB1 association. Except for the brightest O-star binaries, there is no general X-ray overluminosity due to colliding winds in O-star binaries. Roughly half of the known B-stars in the surveyed field are detected, but they fail to display a clear relationship between LX and Lbol. Out of the three WR stars in Cyg OB2, probably only WR 144 is itself responsible for the observed level of X-ray emission, at a very low log L X L bol = − 8.8 ± 0.2 ? > . The X-ray emission of the other two WR-stars (WR 145 and 146) is most probably due to their O-type companion along with a moderate contribution from a wind–wind interaction zone.
Photoluminescence: a surprisingly sensitive lifetime technique

Photoluminescence (PL) measurements in transient, quasi steady state and in an intermediate mode are used to determine the injection level dependent effective excess carrier lifetime /spl tau//sub eff/ in silicon wafers. The effective lifetime is measured over a wide dynamic range and down to very small injection levels /spl Delta/n < 10/sup 9/ cm/sup -3/, demonstrating that PL is a convenient and also a surprisingly sensitive lifetime technique. We show experimentally that PL measurements are not significantly affected by excess carriers accumulated in space charge regions in contrast to other lifetime techniques such as photoconductance (PC). With PL measurements on bifacial silicon solar cells it is also demonstrated experimentally that simultaneous measurements of PL and of the incident light intensity yield the equivalent of Suns-V/sub oc/ measurements, but in contact less mode and without the need for a solar cell structure.
Word Learning as Network Growth: A Cross-linguistic Analysis

Children tend to produce words earlier when they are connected to a variety of other words along both the phonological and semantic dimensions. Though this connectivity effect has been extensively documented, little is known about the underlying developmental mechanism. One view suggests that learning is primarily driven by a network growth model where highly connected words in the child’s early lexicon attract similar words. Another view suggests that learning is driven by highly connected words in the external learning environment instead of highly connected words in the early internal lexicon. The present study tests both scenarios systematically in both the phonological and semantic domains, and across 8 languages. We show that external connectivity in the learning environment drives growth in both the semantic and the phonological networks, and that this pattern is consistent cross-linguistically. The findings suggest a word learning mechanism where children harness their statistical learning abilities to (indirectly) detect and learn highly connected words in the learning environment.
High Bacterial Diversity in Permanently Cold Marine Sediments

A 16S ribosomal DNA (rDNA) clone library from permanently cold marine sediments was established. Screening 353 clones by dot blot hybridization with group-specific oligonucleotide probes suggested a predominance of sequences related to bacteria of the sulfur cycle (43.4% potential sulfate reducers). Within this fraction, the major cluster (19.0%) was affiliated with Desulfotalea sp. and other closely related psychrophilic sulfate reducers isolated from the same habitat. The cloned sequences showed between 93 and 100% similarity to these bacteria. Two additional groups were frequently encountered: 13% of the clones were related to Desulfuromonas palmitatis, and a second group was affiliated with Myxobacteria spp. and Bdellovibrio spp. Many clones (18.1%) belonged to the g subclass of the class Proteobacteria and were closest to symbiotic or free-living sulfur oxidizers. Probe target groups were further characterized by amplified rDNA restriction analysis to determine diversity within the groups and within the clone library. Rarefaction analysis suggested that the total diversity assessed by 16S rDNA analysis was very high in these permanently cold sediments and was only partially revealed by screening of 353 clones.
Description of Aerobic and Anaerobic Capacity of Male Student Volleyball Players

Physiological capacity of athletes is an important element of success in sports achievements. Volleyball is a sport with high anaerobic and aerobic demands in lower body as it needs power jumps and quick returns with legs that may continues over 20 minutes in the game. Therefore, the aim of this study was to describe the elite male student volleyball players' physiological characteristics (aerobic and anaerobic power) in three different positions (spiker, libero and passer). 31 men students of volleyball teams in Islamic Azad university tournament 2013 participated randomly in current study. Aerobic and anaerobic capacities were evaluated by conconi and ergojump-15s tests respectively. Data were analyzed using descriptive statistics, mean and standard deviation was used for classification based on three positions of spiker, libero and passer. The results of this study help the coaches to set appropriate training program for improve the physiological abilities of male volleyball players.
Efficient relativistic magnetron with lengthy virtual cathode formed using the magnetic mirror effect

In this paper we describe a relativistic magnetron with diffraction output (MDO) that uses a lengthy virtual cathode (VC) instead of a physical cathode as the source of electrons. Unlike our earlier work where the lengthy VC was formed from two VCs that were generated at the input and output of the MDO, here we describe using the magnetic mirror effect instead of the VC at the output of the MDO to not only form a lengthy VC, but also to eliminate axial leakage current to achieve even higher efficiency operation.
Proposal of a control scheme for an active filter on PV micro-inverter applications

This paper aims to present the development of a single-phase inverter with high efficiency and high power density to be applied on photovoltaic panel's applications. A DC active filter technique, which mitigates the low frequency ripple across the DC Link, is proposed. This way, there is a reduction in the stored energy in the DC link, which avoids the need for a very large capacitance, which implies a reduction in costs and in total volume of the capacitive bank. The inverter uses the unipolar modulation in order to reduce the reactive energy on the DC side while a double LC filter with a resonant control provides a low current harmonic content, high power factor as well as a low leakage current. The validation of this work is done through simulation and experimental results obtained from a 2kW prototype converter.
SELF-REPORTED MEDICATION ADHERENCE CORRELATES WITH PHOSPHATE LEVELS , RESIDUAL DIURESIS AND NUTRITIONAL STATUS IN HEMODIALYSIS PATIENTS : AN INTERNATIONAL MULTICENTER STUDY

Compliance is a major obstacle to achieving phosphorus control in the majority of patients with end-stage renal disease. We investigated self-reported medication adherence and its correlation with serum phosphate levels and nutritional status in hemodialysis patients. A total of 417 patients from Croatia, Montenegro and Bosnia and Herzegovina, mean age 63.82 (range, 21-92) years, were included in the study. There were 55.1% of male patients with the mean dialysis vintage of 68.67 (range, 3-456) months. A signifi cant positive correlation was found between self-reported adherence and serum phosphorus (0.192), and negative correlation with hemoglobin, prealbumin, albumin, Kt/V and residual diuresis (-0.187, -0.227, -0.100, 0.192, and -0.106, respectively). On the other hand, the number of pills taken daily correlated signifi cantly with residual diuresis, serum prealbumin, serum glucose, triglycerides, ferritin and ultrafi ltration volume (0.241, 0.154, 0.158, 0.112, 0.201 and 0.125, respectively). In conclusion, self-reported medication adherence correlates with serum phosphate levels, residual diuresis and nutritional status in hemodialysis patients.
A 12/8 double-stator switched reluctance motor for washing machine application

Improving the performance of Switched Reluctance Motors (SRMs) such that they become a viable alternative to PM motors has been an active area of investigation. In this paper, a low voltage, high power, double-stator SRM (DSSRM) is proposed for washing machine application. First, an appropriate configuration for the motor structure is introduced and theoretically designed to be used in this application. Second, the electromagnetic characteristics of the proposed configuration are analyzed with the finite element method (FEM) in order to predict the motor's performance. Finally, a prototype of the motor is built and experimentally tested to verify the theoretical and simulation analysis, also confirm its applicability.
Proximity effects in superconducting wire bonding

To investigate the superconducting characteristics of a superconducting wire bonding connection, a series of Nb electrodes consisting of an Au pad formed on a Si chip were made, and the pads were connected in series with a superconducting wire (Pb/sub 76/In/sub 20/Au/sub 4/). The I-V characteristics of the superconducting connection reflect the typical characteristics of a superconductor-normal-metal-superconductor (SNS) sandwich structure, with normal resistance on the order of mu Omega when a critical current (I/sub c/) level is exceeded. The dependence of I/sub c/ on the thickness of Au is an exponential decrement, and I/sub c/ is over a hundred mA when the Au thickness is between 20 nm and 230 nm. Auger analysis is applied to obtain the depth profile of the bonded part, revealing mutual Au and In atomic diffusion at the interface between the Au intermediate layer and the PbInAu wire. <<ETX>>
Preserving microsatellites? Conservation genetics of the giant Galápagos tortoise

Conservation policy in the giant Galapagos tortoise, an iconic endangered animal, has been assisted by genetic markers for ~15 years: mitochondrial DNA and microsatellite loci have been used to delineate thirteen (sub)species, between which hybridization is prevented. Here, comparative reanalysis of a previously published NGS data set reveals a conflict with traditional markers. Genetic diversity and population substructure in the giant Galapagos tortoise are found to be particularly low, questioning the genetic relevance of current conservation practices.
IMPACT OF TERRORISM ON ECONOMIC DEVELOPMENT IN PAKISTAN

In the recent history, Pakistan is facing the menace of terrorism. Besides facing the consequences of Afghan War, Pakistan is also affected by various ethnic, religious and linguistic conflicts which have increased terrorists’ activities. These conflicts have severely affected the socio-economic structure of Pakistan. To gauge the impact of terrorism on Pakistan’s economic growth Solow economic growth model has been used. Using data on terrorism from Global Terrorism Database, co-integration analysis for the period 1981-2012 has been applied. The analysis suggests that terrorism has negatively affected the economic growth in Pakistan. Among the various variables that were used the terrorism is most significant and major contributor in reducing the economic growth. However, study finds that foreign assistance that is provided to Pakistan in the aftermath of the participations in Afghan war and the war against terrorism; in the shape of aid, grants and debt rescheduling etc. has a positive impact on the economic growth.
Outsourcing in e-Governance : A Multi Criteria Decision Making Approach

E-governance is an IT enabled service offered by different government organizations for improving their service effectiveness. Often these services are being outsourced, without sufficiently analysing the decision making of to what extent an organization outsource its IT services. Often these Government departments go for total outsourcing and this outsourcing sometimes leads to failure. In this paper an attempt has been made through a case analysis, with the help of the AHP, to find out an optimum level of outsourcing and suggested a balance strategy between in house and external agency, which in turn helps to reduce the failure rates in e-governance projects. Key word: E-governance, AHP, Outsourcing, decision making 1 Senior lecturer at the Post Graduate Department of Business Administration, Sambalpur University, Orissa, India. Email: debendra_mahalik@hotmail.com 25 Mahalik, D.K. (2010). Outsourcing in e-Governance: A Multi Criteria Decision Making Approach. JOAAG, Vol. 5. No. 1
Rupture dynamics and ground motions from earthquakes in 2‐D heterogeneous media

We perform 2‐D simulations of earthquakes on rough faults in media with random heterogeneities (with von Karman distribution) to study the effects of geometric and material heterogeneity on the rupture process and resulting high‐frequency ground motions in the near‐fault region (out to ∼20 km). Variations in slip and rupture velocity can arise from material heterogeneity alone but are dominantly controlled by fault roughness. Scattering effects become appreciable beyond ∼3 km from the fault. Near‐fault scattering extends the duration of incoherent, high‐frequency ground motions and, at least in our 2‐D simulations, elevates root‐mean‐square accelerations (i.e., Arias intensity) with negligible reduction in peak velocities. We also demonstrate that near‐fault scattering typically occurs in the power law tail of the power spectral density function, quantified by the Hurst exponent and another parameter combining standard deviation and correlation length.
A New Attribute Selection Method Based on Maximal Information Coefficient and Automatic Clustering

Software defect prediction (SDP) plays a significant part in identifying the most defect-prone modules before software testing. Software attributes are the key to improve performance indices in the process of SDP. However, there exists redundant information in those attributes, and this may do harm to the accuracy of predictor. To address this issue, a new attribute selection method (NASM) is proposed in this paper. Firstly, we compute the maximal information coefficient matrix between the attributes in the method, and then these attributes are clustered by spectral clustering according to the maximal information coefficient matrix. In order to implement automatic clustering, Calinski-Harabasz criterion is used to find optimal number of clusters in the process of clustering. Consequently, the best set of attributes is selected. The proposed method is evaluated on five public datasets respectively, and compared with other four attribute selection strategies. The experimental results show that the proposed method NASM outperforms the other three attribute selection strategies on the five standard datasets.
The Verbiverse : Creating a Verb Space with Comparative Methods of Distributional Semantics

The Verbiverse: Creating a Verb Space with Comparative Methods of Distributional Semantics By Austin James Blodgett Computational semantics as a field includes many of the unsolved problems of Natural Language Processing. The need for innovation in this field has motivated much research in developing word and language models that better represent meaning and various concepts within semantics. This thesis is concerned specifically with measuring verb similarity and verb clustering, a task within this field. The goal is to develop representations of verbs that can accurately and viably be used to judge semantic similarity between verbs and to group verbs into classes that reflect their relatedness in meaning. Verb clustering – a task of distributing verbs into semantically related classes has in previous research been shown to have applications in multiple tasks in Natural Language Processing including word sense disambiguation. This thesis will present and compare several methods of automatic acquisition of verb similarity, with a goal of allowing future applications of these methods in NLP tasks and to promote discoveries in how the mechanisms modeled by these methods relate to linguistics. This paper presents several methods from verb clustering based on Latent Dirichlet Allocation – a probabilistic graphical model commonly used for topic modelling. We model verbs as collections of contextual features derived from latent classes. LDA, which is designed as a model for Bayesian inference of latent thematic categories, fits well to model verb classes based on linguistic context. We demonstrate Recursive LDA, a procedure of executing LDA iteratively to produce a hierarchical structure of classes. We test several linguistic features from syntax and lexical arguments of verbs with interest in identifying how informative each feature is. We evaluate all of our experiments against human judgments of similarity providing a novel method for evaluating semantic similarity metrics of word models. We test all of our data on a list of 3,000 most common English verbs. We test our method against Word2Vec, a popular and recently developed word model using skip-gram feature vectors refined by deep learning. The results in this thesis will show that given the right features, our method of using LDA with linguistic features outperforms Word2Vec’s data-driven statistical approach when weighed against human judgements. The Verbiverse: Creating a Verb Space with Comparative Methods of Distributional Semantics
NAD(P)H oxidase contributes to neurotoxicity in an excitotoxic/prooxidant model of Huntington's disease in rats: Protective role of apocynin

Intrastriatal injection of quinolinic acid (QUIN) to rodents reproduces some biochemical, morphological, and behavioral characteristics of Huntington's disease. NAD(P)H oxidase is an enzymatic complex that catalyzes superoxide anion (O2·−) production from O2 and NADPH. The present study evaluated the role of NAD(P)H oxidase in the striatal damage induced by QUIN (240 nmol/μl) in adult male Wistar rats by means of apocynin (APO; 5 mg/kg i.p.), a specific NAD(P)H oxidase inhibitor. Rats were given APO 30 min before and 1 hr after QUIN injection or only 30 min after QUIN injection. NAD(P)H oxidase activity was measured in striatal homogenates by O2·− production. QUIN infusion to rats significantly increased striatal NAD(P)H oxidase activity (2 hr postlesion), whereas APO treatments decreased the QUIN‐induced enzyme activity (2 hr postlesion), lipid peroxidation (3 hr postlesion), circling behavior (6 days postlesion), and histological damage (7 days postlesion). The addition of NADH to striatal homogenates increased NAD(P)H oxidase activity in striata from QUIN‐treated animals but not from sham rats. Interestingly, O2·− production in QUIN‐lesioned striata was unaffected by the addition of substrates for intramitochondrial O2·− production, xanthine oxidase and nitric oxide synthase, suggesting that NAD(P)H oxidase may be the main source of O2·− in QUIN‐treated rats. Moreover, the administration of MK‐801 to rats as a pretreatment resulted in a complete prevention of the QUIN‐induced NAD(P)H activation, suggesting that this toxic event is completely dependent on N‐methyl‐D‐aspartate receptor overactivation. Our results also suggest that NAD(P)H oxidase is involved in the pathogenic events linked to excitotoxic/prooxidant conditions. © 2009 Wiley‐Liss, Inc.
Building an effective recommender system using machine learning based framework

Machine learning forms the base of many information retrieval applications those effect our day to day lives directly or indirectly. One of the Commonly used application of machine learning algorithms is Recommender Systems. Recommender system are information flitering system which takes users rating for items into account and predict user preferences. Many online ecommerce and other categorical websites are able to generate recommendations either on the basis of implicit feedback or explicit feedback. In implicit feedback, preferences are actually based on analysis of browsing patterns of the user, for example, purchase history, web logs etc. Explicit feedback is generated from the ratings provided by the user. In this paper we have shown adaption of collaborative filtering in Apache Mahout platforms via Eclipse on a sample data set.
Geographical labeling of web objects through density estimator model

Web object search engines provide powerful vertical search facility to the users so that, redundant information in the result can be effectively filtered. Currently, geographical labeling of Web objects have got limited attention. This task is complicated further due to the presence of noise inside Web objects. Recently, geographical labeling was achieved through Gaussian mixture model in [2]. But, there is plenty of scope to improve on the results achieved in [2]. In this work, a new geographical labeling procedure by using density estimator model is introduced. This technique shows better computational efficiency and labeling accuracy than previously proposed technique [2].
1/f- and random telegraph noise of thermoelectric CoSb3 skutterudite thin films

We present resistance, Hall effect and fluctuation spectroscopy measurements on thermoelectric CoSb3 skutterudite thin films in a broad temperature range. Mott variable range hopping is discussed as the dominating transport process at low temperatures. Noise measurements provide further insight into the electronic transport properties. While 1/f-like noise dominates over nearly the entire temperature range, thermally-activated Lorentzian-type spectra are observed in a narrow temperature region around 150 K. Characteristic values of the activation energy are determined to be of the same order of magnitude as the energy gap of CoSb3. We suggest excitations of defect states between valence and conduction band to be the underlying process for the observed noise behavior and discuss the possible exchange of electrons between donor traps and the rest of the conducting media.