Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective Semisupervised Community Detection Using Negative Information

The semisupervised community detection method, which can utilize prior information to guide the discovery process of community structure, has aroused considerable research interests in the past few years. Most of the former works assume that the exact labels of some nodes are known in advance and presented in the forms of individual labels and pairwise constraints. In this paper, we propose a novel type of prior information called negative information, which indicates whether a node does not belong to a specific community. Then the semisupervised community detection algorithm is presented based on negative information to efficiently make use of this type of information to assist the process of community detection. The proposed algorithm is evaluated on several artificial and real-world networks and shows high effectiveness in recovering communities.
Overview of Security Metrics

Metrics are tools that are designed to facilitate decision-making and improve performance and accountability through collection, analysis, and reporting of relevant performance-related data. This paper provides an overview of the security metrics and its definition, needs, attributes, advantages, measures, types, issues/aspects and also classifies the security metrics and explains its relationship with risk management.
Security Analysis of GRID Protocol for MANET based on BAN Logic

The security of GRID routing protocol based on location information in mobile Ad Hoc networks needs to be verified, so a formal method is introduced to achieve this goal in this paper. Based on BAN logic, this method also combines the characteristics of Ad Hoc network routing protocal. The analysis results show that the protocol has security vulnerabilities in the route maintenance phase which cannot be pinpointed. From the analysis results, this method is proved to be effective and lay the foundation for the improvement of GRID protocol in the future.
On the Computation of the Free-Space Doubly-Periodic Green's Function of the Three-Dimensional Helmholtz Equation

In a recent article [1] the performances of several methods used for the computation of the free-space doubly-periodic Green's function G0Λ of the three-dimensional (3D) Helmholtz equation were investigated. The existence of an alternative method that is superior to those discussed in that article is pointed out. The alternative method can have accuracy close to machine precision and is more efficient (at least 12 times faster for an identical convergence test). It yields a fast convergent result for any z, i.e., also for z = 0, where the series discussed by Guérin, Enoch, and Tayeb are only conditionally convergent.
Optical Fourier synthesis of high-repetition-rate pulses

The ultimate goal in the generation of optical signals is optical arbitrary waveform generation, which would allow the generation of wide-bandwidth optical signals with arbitrary amplitude and phase profiles (e.g., custom-shaped short optical pulses or advanced telecommunications signals). Here we investigate a new route toward this goal based upon the coherent combination of multiple signals generated at different wavelengths from different lasers. We show how to address the various challenges associated with this approach and demonstrate the generation of 100 GHz repetition rate waveforms by combining five semiconductor lasers phase locked, via injection locking, to a common optical frequency comb. Independent control of the optical power and phase of each laser enabled the generation of customized waveforms. Our technique be should readily scalable to a larger number of lasers, promising a flexible source of ultrastable, high-repetition rate, large-bandwidth (>1 THz), shot-noise-limited, high-power optical waveforms.
Identification and analysis of factors influencing the efficiency of web development team projects from the students' perspective

The postgraduate subject “Web Technologies” is offered to engineering students who have different engineering backgrounds. The students have generally studied other computer programming and design methodologies in their engineering domain. The major learning objectives of this subject include being able to critically evaluate web technologies, apply web design methodologies to web based systems, and work efficiently with groups. To achieve these objectives, we have designed a web development process to apply to the major assessment task of developing a web system as a group. This research is to study the efficiency of this process with regard to student learning.
Broadband Antennas Over Electronically Reconfigurable Artificial Magnetic Conductor Surfaces

Artificial magnetic conductor (AMC) surfaces allow flush-mounted wire or strip antennas to radiate efficiently by exhibiting both a high surface impedance and a surface wave bandgap over some limited frequency range. In this paper, an electronically reconfigurable AMC is presented which dramatically increases the range of operating frequencies for an AMC device of specified thickness. Broadband planar antennas placed in close proximity to the reconfigurable AMC surface have been shown to radiate efficiently only in the surface wave bandgap of the AMC, and therefore are themselves tuned by the AMC structure. A planar spiral antenna has been demonstrated to tune over more than 3:1 bandwidth in a thickness of onetwentieth of a wavelength (λ/20) at band-center with instantaneous bandwidths ranging from 5 to 20%.
Development of a Two-dimensional Productivity Measurement Model for Higher Learning Institutions

Measuring the performance of higher learning institutions (HLIs) is a must for these institutions to stay competitive and to move forward. Initiatives towards constructing a more appropriate and accurate measurement is vital. This paper focuses on formation of a productivity model that consists of efficiency and effectiveness dimensions by utilizing a non-parametric method, Data Envelopment Analysis (DEA). The identification of suitable input, output and outcome variables were done prior to the development of the model. The proposed model is validated by measuring the productivity of 16 public universities in Malaysia for year 2008. However, due to unavailability of one variable data, an estimate was used as a proxy to represent the real data. The results show average efficiency and effectiveness scores are 0.817 and 0.900 respectively and 0.754 is the overall productivity score. A total of six universities were both efficient and effective. The formation of this performance model would work as a complement method to the existing performance methods or as an alternative method in monitoring the level of performance of HLIs especially for the Malaysia public HLIs. The proposed model could be adopted in a different field or sector after priori identification of suitable and related variables of the selected context. Keywords: Productivity, Efficiency& Effectiveness, Data Envelopment Analysis, JEL Classifications: C610, C623, I23
Comparison of Ploidy Level Screening Methods in Regenerants Derived from Anther Culture of Anthurium

Anther culture was successfully developed in anthurium. The anther culture resulted in morphology and growth response variation of regenerants. Different morphological variations indicated different ploidy level. Screening a convenient, rapid and reliable indirect method in ploidy level determination expected gave high benefit in estimation of ploidy level of anthurium practically. Three different ploidy levels of regenerants derived from anther culture were used in the study. Five indirect methods of chloroplast number in a stomatal guard cell, stomatal length and width ratio, stomatal density, ratio of length and width of leaves, and microspore number per anther were compared to chromosome counting as a direct method. Simple regression correlation analysis was applied to know level and direction of correlation of two methods compared. Results of the study indicate that chloroplast number in a stomatal guard cell was the most convenient and reliable indirect method in determination of ploidy level of regenerants derived from anther culture of anthurium. While number of microspores per anther was the second best method for the same purpose. Both methods was highly correlated to anthurium ploidy level with r = 0.945 and 0.813 (p<O.01), respectively. Practically application of the methods was faster than chromosome counting method. Higher number of chloroplast and microspore, higher anthurium ploidy level. Application other indirect methods were not suggested in anthurium. INTRODUCTION Anthuriums are bisexual and protogynous, with the spadix first producing a female phase followed by, after about a month, a male phase. This reduces selfpollination, but increases cross-pollination frequency of the plants (Caroll, 2007). Therefore establishment of anther culture method for producing the homozygous lines in anthurium is important tool in strengthening anthurium agribusiness in Indonesia dealing with producing high qualified new hybrids and seeds. Anther culture of anthurium has been initiated by Rachmawati (2005) and Winarto and Rachmawati (2007) since 2003 and improved simultaneously till now. The method resulted in morphological and ploidy level variations of regenerated
HPLC-DAD PROFILE OF PHENOLIC COMPOUNDS, CYTOTOXICITY, ANTIOXIDANT AND ANTI-INFLAMMATORY ACTIVITIES OF THE AMAZON FRUIT Caryocar villosum

Klenicy K. L. Yamaguchia, Carlos Vitor Lamarãoa, Elenn S. P. Aranhab, Rodrigo Otávio S. Souzab, Patrícia Danielle A. Oliveirab, Marne C. Vasconcellosb, Emerson S. Limab and Valdir F. Veiga-Juniora,* Departamento de Química, Instituto de Ciências Exatas, Universidade Federal do Amazonas, Setor Norte, Av. Rodrigo Octávio, 6.200, Coroado, 69080-900 Manaus – AM, Brasil Faculdade de Ciências Farmacêuticas, Universidade Federal do Amazonas, Setor Sul, Av. Rodrigo Octávio, 6.200, Coroado, 69080-900, Manaus –AM, Brasil
An Experimental Study of K* Algorithm

Machine Learning techniques are taking place in all areas of our lives, to help us to make decisions. There is a large number of algorithms available for multiple purposes and appropriate for specific data types. That is why it is required to pay special attention to decide which is the recommended technique, to use in each case. K Star is an instance-based learner that tries to improve its performance for dealing with missing values, smoothness problems and both real and symbolic valued attributes; but it is not known much information about how the way it faces attribute and class noisy, and with mixed values of the attributes in the datasets. In this paper we made six experiments with Weka, to compare K Star and other important algorithms: Naïve Bayes, C4.5, Support Vector Machines and k-Nearest Neighbors, taking into account its performance classifying datasets with those features. As a result, K Star demonstrated to be the best of them in dealing with noisy attributes and with imbalanced attributes.
The Effects of a Small-Group Direct Instruction Intervention on the Reading Achievement of English Language Learners

The Effects of a Small-Group Direct Instruction Intervention on the Reading Achievement of English Language Learners Laurie Ottehenning Department of Counseling Psychology and Special Education, BYU School Psychology This study analyzes the effects of a Tier 2, small group intervention developed by the Exemplary Center for Reading Instruction (ECRI) that employs direct instruction strategies (including scripted sequenced lessons, teacher modeling, and repeated practice). The reading achievement of 15 English language learners (ELLs) in the ECRI intervention was compared to the reading achievement of 12 ELLs in a computer-based reading intervention. The reading achievement of 27 ELLs was also compared to the reading achievement of 48 non-ELLs in the interventions. Repeated measures ANOVAs and independent t-tests analyzed the results of the Kaufman Test of Educational Achievement-II Brief, preand post-tests. ELLs in grades 1-3 improved from preto post-test in the ECRI condition. In grades 1-3, both ELLs and non-ELLs in the ECRI condition significantly improved. ELLs in both conditions significantly improved in grades 4-6. In grades 4-6, there was a significant difference between ELLs and non-ELLs in the ECRI condition at pre-test but the difference was no longer significant at post-test. Implications and limitations of the findings are explored.
Work as an antidote to poverty? An empirical analysis for EU countries

At the European level and in most EU member states, higher levels of labour market participation are seen as key to better social inclusion and cohesion. But what is the likely impact on income inequality and poverty? In the literature shift-share analysis has been used to address this issue (Whiteford and Adema, 2007; Fritzell and Ritakallio, 2004). This essentially consists of changing the weight of population segments, keeping their poverty rates constant, and has serious limitations. We propose a more sophisticated analysis which starts by estimating the probability of labour force participation by a probabilistic regression, using the relevant individual (e.g. sex, age, education) and household determinants (e.g. household composition, partner‟s labour income, young children) available in EU-SILC. We use these probabilities to rank inactive individuals according to their chances of becoming active and finding work so that in simulations of higher participation rates those most likely to work are moved into a hypothetical job first. In a next step we estimate the wages of the newly active individuals (taking account of selection bias). We use this to simulate a scenario of the Europe 2020 target of an employment rate of 75 per cent of working age population. We can assess the effect on the income distribution and on poverty. We can also see whether newly active individuals/households have a labour income high enough to escape poverty.
Technical Change and Catching-up: The Electricity Distribution Sector in South America

The main purpose of this paper is to analyze technical change in the electricity distribution sector in South America, in the period 1994-1997. We do so by estimating a Maximum Likelihood stochastic frontier. We found that there is no evidence of catching up effects in the sector during this period. Besides, there is partial evidence that suggests that countries which reformed their electricity sector had a better performance than those which did not. We also found an increase in the capital share in the countries that made the reform and an increment in the labor share in the ones that did not make the reform.
Determine the Polarity of Domain-Specific Sentiment Words with Usage of Semantic Pattern of Sentences

Text sentiment analysis is a new branch of computational linguistics which is widely concerned. In this paper, we present an approach to determine polarity of sentiment word based on context of sentence. We first change the context of sentence to semantic pattern vector, calculate the between different sentences, then compare sentences context indirectly by comparing similarity of their pattern vector, next we annotate polarity of sentiment word according to comparing result. Experiment shows that when the context of two sentences have high similarity, it is likely to have high precision in recognizing polarity of sentiment word. Our study shows it's feasible to use semantic pattern vector in representing context and judging polarity of sentiment words.
Can you see what I am saying? Investigating the differences in processing of onomatopoeia and nouns with a behavioural study and EEG case study

This current research aimed to investigate the differences in processing of onomatopoeia and nouns. The first independent variable was modality (written, auditory) which was conducted using a between-subjects design whereby participants were allocated to either one of these conditions. The second IV was type of associated word (onomatopoeia, nouns) which utilised a within-subjects design with each participant being exposed to each type of word. A mixed effects Analysis of Variance (ANOVA) was conducted to investigate whether these effects were statistically significant. This indicated that there was not a significant difference between words recalled when modality and type of associated word were manipulated. An electroencephalogram (EEG) was conducted to further investigate and examine the neurological regions involved in the processing of these two categories of words. Results indicated that the brain regions most active when encoding and recalling onomatopoeia and nouns were different as well as the ‘spread of activation’.
Accuracy of vertebral fracture assessment (VFA) by GE- iDXA scanner in comparison to conventional radiography

Poster: "ECR 2016 / C-2069 / Accuracy of vertebral fracture assessment (VFA) by GE- iDXA scanner in comparison to conventional radiography" by: "D. Diacinti, R. Argiro, C. Cipriani, J. Pepe, C. Catalano, S. Minisola; Rome/IT"
THE NEW CONSENSUS MACROECONOMICS: AN UNRELIABLE GUIDE FOR POLICY

O artigo apresente o Novo Consenso Macroeconomico e discute tres importantes aspectos relacionados a ele: as implicacoes de politicas fiscal e monetaria; a importância do conceito de "taxa natural de juros" para o Novo Consenso Macroeconomico; e as consequencias quando a taxa de juros difere da "taxa natural de juros". Ademais, o papel central da curva de Phillips no Novo Consenso Macroeconomico e o controle da inflacao sao outros aspectos a serem analisados. Nesse sentido, o artigo apresenta a critica da curva de curva de Phillips novo keynesiana ao foco central do Novo Consenso Macroeconomico.
Narrowband Cooperative Spectrum Sensing in Cognitive Networks

With the increase of different types of wireless devices, the radio frequency (RF) spectrum will not longer large enough to accommodate these increased devices for communication in the future under the traditional fixed spectrum access (FSA) policy. Therefore, cognitive radio (CR), which provides devices flexible spectrum access, has been proposed to solve this scarcity problem in RF spectrum. The ability of CR depends largely on its spectrum sensing since it provides device access to one spectrum band while avoiding interference to other devices. However, the results from single spectrum sensing is not reliable in real communication condition due to various fading effects. Thus, designing an efficient cooperative spectrum sensing scheme a significant task. In this thesis, two cooperative narrowed spectrum sensing schemes, multi-selective cooperation and selective cooperation, will be proposed. Multi-selective cooperation, an improved version from selection combining (SC), is based on ordered statistics of the reporting links between the cooperative nodes and fusion center where the links with high signal-to-noise ratios (SNRs) are selected as reliable reporting links. Furthermore, we examine the optimum N-out-of-K rule of our scheme under different detection threshold and SNR. Another new scheme, selective-cooperation, is proposed based on multi-selective cooperation and it selects the links, whose SNRs are larger than fusion center's, as reliable reporting links. The performance of both new schemes are compared to other existing schemes in-terms of the probability of detection and probability of false alarm over independent identity distributed (i.i.d) and independent non-identical distributed (i.n.d) Rayleigh fading channels. Both simulations and analytical results show that the multi-selective scheme outperforms some traditional schemes, i.e. selection combining, general N-out-of-K rule and square-law selection (SLS) under different system parameters. Simulations and analytical results also show that the performance of the selective-cooperation scheme gets further improvement compared with multi-selective scheme and it outperforms some traditional schemes, i.e. square-law combining (SLC), under different communication environments.
The motivational function of an objective in physical activity and sport

participants and procedures The sample consisted of 2141 individuals: 1163 women aged 16-64 years (M = 23.90, SD = 8.30) and 978 men aged 16-66 years (M = 24.50, SD = 9.40) who completed the Inventory of Physical Activity Objectives (IPAO), which includes the following scales: 1) motivational value, 2) time management, 3) persistence in action, and 4) motivational conflict. There are also questions that allow one to control for variables such as the variety of forms, duration, and frequency of PA, and socio-demographic variables. results Males presented different motives of physical activity than females. Motives related to shapely body and health were more important for females. The most important motives for males were physical fitness and shapely body. The gender of participants moderates the motivational value of the specific objectives of physical activity and persistence in action.
The IMF Debt Sustainability Analysis: Issues and Problems

Abstract This paper reviews the IMF DSA (Debt Sustainability Analysis) framework. We first examine the concept of debt sustainability, and argue that the evaluation exercise necessarily entails putting into question market expectations embodied in yield spreads. When the views of the analyst on the capacity of debt repayment differ from the ones reflected in market interest rate premiums, the use of market interest rates for assessing debt sustainability leads to an inconsistency that will in turn bias the assessment. We then show that IMF projections for assessing debt sustainability have been repeatedly biased, which may have contributed to distort the timing of sovereign debt restructurings and the consequent processes of renegotiation. We conclude with a discussion on how the existing DSA framework could be improved.
The Effects of "Preferentialism" on a Genetic Algorithm Population over Elitism and Regular Development in a Binary F6 Fitness Function

Mating preferentialis m among animals is the natural form of elitis m that has a higher genetic variance and a shorter number of interactions. This concept refers to fact that most animals cannot breed indefinitely - this is the case of elit ism - and suffer DNA degradation. In this paper, two types of preferentialism were analyzed (mutation and second best); in both cases we found evidence of improve ments over no-preferentialis m or elit ism. The best number of generations for preferentialis m was determined to be 5, fro m a group of 3 to 20, with the smallest average of iterat ions and the most consistent average fitness. A sequencing of 0 to 7 was selected and used in association with mutation preferentialis m in order to determine the best number of generations. In the case of BinaryF6, mutation preferentialis m has a higher average best fitness (ABF) (0.9986) and a lower nu mber of interactions (2259). Second best preferentialis m has a better average last fitness (ALF) (0.6070) and a little h igher number of interactions (3956). These results reveal that the two suggested form of preferentialis m exh ibit significant improvements in terms of time and result quality when they are compared with elit ism (A BF o f 0.9981, A LF of 0.6005 and an average nu mber of interactions of 18197) or with no-preferentialis m (ABF of 0.9982, A LF of 0.5177 and average number of interactions of 181088. Index Terms—Genetic A lgorith ms, Preferentialis m, Elitism, BinaryF6, Natural Elitism.