Miracle-dz/UniFAR-FTUs huggingface dataset:
A hybrid algorithm for grid task scheduling problem

At the beginning the Grid computing and Grid technologies was used for scientific and technical jobs where computers were distributed geographically, connected through internet, are used in order to invent virtual supercomputers with high computing competency. The goal of inventing such a virtual supercomputer was solving complex scientific problems in less time than before. The goal of task scheduling in Grid systems is decreasing the total completion time of the all tasks with providing a timetable to perform all existing tasks. The problem of task scheduling in grid systems has large solution space and is considered as a kind of NP-Hard problems. In this paper a new method for solving task scheduling in Grid computing system is proposed by combining Genetic Algorithm with Tabu Search Algorithm. The goal of proposed algorithm is to combining the global search abilities of Genetic Algorithm with local search of Tabu Search, and creating a stable algorithm that highly guarantees the accessing of the global optima. The proposed algorithm is compared with other heuristic algorithms and experimental results showed that the proposed algorithm has high efficiency for solving task scheduling in Grid computing.
Semantic Roles for Portuguese Verbs

Semantic roles are a relevant layer of linguistic information, useful for many Natural Language applications. In the Lexicon-Grammar framework, it has not received much explicit attention, though many authors use them in a more or less formal perspective. This paper presents the tentative of defining in a precise way and systematically applying the concept of semantic role to the full extent of full verb constructions in European Portuguese. The purpose of this is double: firstly, to verify the consistency and applicability of this concept in a large-sized lexicon-grammar, and, secondly, to prepare the way for an effective SR labelling module, to be integrated in a fully-fledged NLP system, STRING 1 .
Research Unit for Statistical and Empirical Analysis in Social Sciences (Hi-Stat) Research Unit for Statistical and Empirical Analysis in Social Sciences (Hi-Stat) Should Japanese Tax System Be More Progressive?

We investigate the effects of marginal changes of marginal tax rates of Japanese income tax system, computing the social marginal costs of public funds (SMCF) generated by marginal increase in tax rates. We use large micro data sets on Japanese households, and estimate a structural discrete choice model of household labor supply. Our estimation results show that the average of total elasticity of males ranges between 0.0276 and 0.0521, and that of female between 0.0429 and 0.2134. Based on the estimated utility functions, we ﬁnd that SMCF for raising the marginal tax rate applied for those with low- or medium-income level is smaller than those with more income. Our results could suggest Japanese income tax system should be less progressive. estimation results show that the average of total elasticity of males ranges between 0.0276 and 0.0521, and that of females between 0.0429 and 0.2134, which is quite consistent with the counterparts of North America and Europe. Using these estimated parameters, we ﬁnd that the SMCFs for increase in the marginal tax rate of the lowest bracket is smallest, except for the top bracket, when taking the number of household members into account. This suggests that in our setting the marginal tax rates of the lowest bracket should be raised before those of higher brackets are increased.
Will Children of Social Care Services Users be Future Users? Results of a Pilot Research in Rome

ISFOL, D'Emilione M. , Giuliano G. , Vivaldi Vera P., Will Children of Social Care Services Users be Future Users? Results of a Pilot Research in Rome, Gottfried Schweiger,Gunter Graf (a cura di), "The Well-Being of Children: Philosophical and Social Scientific Approaches", 2016. Isfol OA:
GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data

facilitate the application of the GGE biplot methodology in MET data analysis and in analyses of other types Plant breeding trials produce quantities of data and finding the of two-way data, a Windows application, the GGEbiplot useful information within that data has historically been a major challenge of plant breeding. A recently developed graphical data software, was developed. This paper describes the funcsummary, called GGEbiplot, can aid in data exploration. GGEbiplot tions built in this software and exemplifies their use in is a Windows application that performs biplot analysis of two-way MET data analysis. data that assume an entry tester structure. GGEbiplot analyzes the data and outputs the results as an image, and it also produces an WHAT IS A GGE BIPLOT? interactive show of the data. It allows interactive visualization of the biplot from various perspectives. A multienvironment trial data set, The Concept of Biplot in which cultivars are entries and environments are testers, was used The concept of biplot was first proposed by Gabriel to demonstrate the functions of GGEbiplot. These include but are not limited to: (i) ranking the cultivars based on their performance (1971). The main ideas follow. Any two-way table or in any given environment, (ii) ranking the environments based on matrix X that contains n rows and m columns can be the relative performance of any given cultivar, (iii) comparing the regarded as the product of two matrices: A with n rows performance of any pair of cultivars in different environments, (iv) and r columns and B with r rows and m columns. Thereidentifying the best cultivar in each environment, (v) grouping the fore, Matrix X can always be decomposed to its two environments based on the best cultivars, (vi) evaluating the cultivars component matrices, A and B. If r happens to be 2, based on both average yield and stability, (vii) evaluating the environ- Matrix X is referred to as a rank-two matrix. Each row ments based on both discriminating ability and representativeness, in Matrix A has two values, which define a point in a and (viii) visualizing all of these aspects for a subset of the data by two-dimensional plot. Similarly, each column in Matrix removing some of the cultivars or environments. GGEbiplot has been
FIRST-ORDER METHODS FOR NUCLEAR NORM MINIMIZATION AND ITS APPLICATIONS

We consider a nuclear norm minimization problem that can be viewed as convex relaxation of rank minimization problem arising in many fields in engineering and applied science. Though this problem can be reformulated as semidefinite programming (SDP) problem, it is computationally challenging for general SDP solvers due to the size of this problem. In this thesis, we study first-order methods for nuclear norm minimization problem. In particular, we first propose several reformulations for this problem. Then we apply two suitabe first-order methods, namely, fast iterative shrinkage algorithm (FISTA) and nonmonotone gradient method (NGM) for solving these reformulations. Finally, we compare the performance of these approaches on randomly generated instances and report some promising computational results.
in Quebec and Ontario , 1946 – 2011

We are interested in the role tuition fees play in social reproduction. We use retrospective biographical data from a series of surveys on family events, long series on tuition fees and methods from event history analysis to study the effect of the level of tuition fees on university enrolment in two Canadian provinces, Quebec and Ontario. We focus on the variation of their effect on enrolment according to social origin, province, language and immigration status. Not considering age, the level of tuition fees increases enrolment for children of highly educated parents or immigrants, has no effect among the Quebec English-speaking, but decreases enrolment in all other groups. However, in most groups, the deterring effect increases with age. Among immigrants and their children, as well as among the Ontario English-speaking, the slope of the relation between the effect of tuition fees and age is markedly steep: In these groups, there seems to be a limited age window during which parents are willing to invest in their children’s education.
Positive and negative antecedents of purchasing eco-friendly products : a comparison between green and non-green consumers Reference :

This study aims to analyze what drives and prevents the purchasing of eco-friendly products across dif ferent consumer groups and develops a conceptual model emb racing the positive altruistic (care for the enviro nmental consequences of purchasing), positive ego-centric ( g een self-identity and moral obligation), and nega tive egocentric (perceived personal inconvenience of purcha sing eco-friendly products) antecedents of eco-frie ndly product purchase intention and behavior. We empirically validate the conceptual model for gr een (n=453) and non-green (n=473) consumers (i.e., consumers who engage in a set of pro-environmental behaviors for environmental reasons vs. consumers w ho do not engage in these behaviors). Data are analyze d using structural equation modeling and multi-grou p analysis of the two groups. The results confirm the relevance of the determinin g factors in the model and show significant differe nc s in eco-friendly product purchasing patterns between gr een and non-green consumers. Altruistic motives are more important for green than for non-green consumers. N egative ego-centric motives affect the purchase int ntions of non-green consumers more than the intentions of green consumers, whereas the impact of negative mot ives on behavior is stronger for green than for non-gree n consumers. The first contribution of this paper is the develop ment and testing of a parsimonious model of eco-fri endly products purchasing that embraces both positive (al truistic and ego-centric) and negative (ego-centric ) antecedents, which have been theoretically suggeste d in the past but have rarely been empirically test ed together. The second contribution of this study is that it develops insight into the specific antecede nts of ecofriendly products purchasing for green and non-gree n consumers to assess potential similarities and di fferences in eco-friendly products purchasing process, the hy pothesized antecedents, their impact on eco-friendl y products purchase intention and behavior, and the intentionbehavior relation.
Dual-Polarized On-Chip Antenna for 300 GHz Full-Duplex Communication System

This paper presents a novel design of compact orthogonally polarized on-chip antenna to realize 300 GHz full-duplex communication system with high isolation. It consists of a dipole antenna for horizontal polarization and a disk-loaded monopole antenna for vertical polarization. They are in good cross-polarization state with more than 90 dB of self-interference suppression and then can be used to achieve good isolation between transmitting and receiving antennas. In addition, two dual-polarized antennas have been adopted in two separated transceivers to study their isolation performance. Furthermore, this compact antenna only occupies an active area of 390 μm × 300 μm × 78 μm and can be used for multiple-input multiple-output application as well.
Selection of Feature Regions Set for Digital Image Using Optimization Algorithm

Image transformation techniques are used for extraction of local features which are used in many applications such as object recognition, database retrieval, and motion tracking. The effectiveness of a digital image is identified by the robustness of image candidate regions. This paper aims to obtain most robust and minimal region set which preserves image quality. It first performs a simulated attacking procedure on non overlapped region set to evaluate the robustness of every candidate feature region. According to the evaluation results, it then adopts a track-with-pruning procedure to search a minimal primary feature set which can resist the most predefined attacks. In order to enhance its resistance to undefined attacks under the constraint of preserving image quality, the primary feature set is then extended by adding into some auxiliary feature regions. This work is formulated as a multidimensional knapsack problem and would be solved by Optimization Algorithms such as Genetic Algorithm as well as Particle Swarm Optimization and Simulated Annealing based approach. The experimental result uses some benchmark images. Comparing results of different optimization techniques on primary feature region set, the proposed method determines the best choice of optimization techniques for selecting most robust and minimal region set under the constraint of preserving image quality.
PARTNERING PRACTICES: AN INVESTIGATION OF INFLUENCES ON PROJECT SUCCESS

Historically, traditional procurement systems have resulted in low levels of client satisfaction, owing mostly to poor cost and time predictability. Alternative approaches, including partnering and collaborative working have consequently been developed. This paper examines whether such collaborative approaches can deliver improvements in project procurement and management, and considers the extent to which partnering practices influence the success of building projects. Project success in this regard is measured in terms of cost predictability, programme implications, quality control, health and safety, risk management, teamwork and communications. A focus is made on the importance and influence of contractor selection processes within collaborative procurement, and what constitutes best practice in this regard. Exploratory interviews were conducted with a group of construction project managers who have had extensive experience with both collaboratively and traditionally procured construction projects. Coding and analysis of the resultant data indicated that collaborative procurement routes do have many advantages over traditional adversarial routes in most cases, but not all. Practitioners regarded the individuals deployed on projects having more influence on success than choice of procurement method. Projects were categorised as suitable or unsuitable for modern innovative procurement methods, dependent on a number of determining factors. There is support for the premise that partnering practices can potentially yield more benefits where projects are highly complex. Early supply chain involvement in design is required, and robust contractor selection processes are vital for collaborative procurement to be successful. Further research is proposed to expand the knowledge base around the range of suitable projects which may benefit from partnering approaches to procurement, in order to facilitate decisions in practice.
In VItro Gas PRODUCTION aND DR y Ma TTeR DIGesTIbIlITy Of seMI-aRID bROwses Of NORTh easTeRN NIGeRIa

The in vitro gas production of semi-arid browse species were evaluated. The relationship between in vitro gas measured on incubation of tannin-containing browses in buffered rumen fluid and calculated from short chain fatty acid (SCFA) production was investigated. Crude protein (CP) contents in the browses ranged from 138.50 to 166.50 g.kg -1 dry matter (DM). The NDF, ADF and ADL were 373.00 to 512.00, 162.00 to 419.00, and 49.00 to 127.00 g.kg -1 DM respectively. Total condensed tannin (TCT) ranged from 0.15 to 0.39 mg/g DM. The TCT significantly correlated with gas production ( r = 0.99; P < 0.05). A strong correlation (R2 = 0.99; P< 0.05) was observed between measured in vitro gas production and that calculated from SCFA. The relationship between in vitro gas measured on incubation of browse leaves and that calculated from SCFA allows prediction of SCFA from gas production. The studies showed that the leaves of the browse forages had nutritive value and therefore, may serve as potential supplements for ruminants in Nigeria.
Predicting Intensity of Symptoms in Patients with Irritable Bowel Syndrome (IBS) Based on Their Mental Health, Quality of Life and the Use of Leisure Time

The study aimed to predict the intensity of symptoms in patients with Irritable Bowel Syndrome (IBS) based on their mental health, quality of life and use of leisure time. To do this, three hundred patients were chosen from those who referred to two gastrointestinal clinics in north and east of Tehran by using target-based sampling method of whom ninety-two patients filled out the Rome–III diagnostic questionnaire, Ryff Scale of Psychological Well-Being (RSPWB), SF-12 questionnaire, and leisure time questionnaire. Data were analyzed by using Pearson correlation coefficient and regression analysis. The results showed that mental health, quality of life and use of the leisure time can predict the intensity of symptoms in these patients (P 0.05). It was also observed that among the demographic variables, age (older patients), gender (female patients), marital status (married patients), level of education (low literacy skills) and the number of referrals to physician can predict the intensity of symptoms in patients (P 0.05).
LEADERSHIP MODELS FOR A GOOD GOVERNANCE. INSIGHTS FROM SOME EXEMPLARY ITALIAN CASES

The paper addresses the theme of responsible and good governance founded on a moral and ethical-based leadership approach. Firstly, the work describes the theoretical framework paying specific attention to ethical leadership theories, responsible leadership and governance. Subsequently it presents the first results of an empirical analysis centered on exemplary casestudies relative to Italian companies, which are included among the best performing ones and have for years built a responsible orientation in their mission and governance models. Findings underline how coherent leadership models based on a positive moral perspective, authenticity, and integrity act in promoting a cultural reorientation inside and outside the company, valorizing relationships with stakeholders, favoring trust and fairness in the interactions with employees and collaborators, and allowing to establish effective models of governance based on the sharing of information, openness and democratic participation.
Analytical finite element matrix elements and global matrix assembly for hierarchical 3-D vector basis functions within the hybrid finite element boundary integral method

Abstract. A hybrid higher-order finite element boundary integral (FE-BI) technique is discussed where the higher-order FE matrix elements are computed by a fully analytical procedure and where the gobal matrix assembly is organized by a self-identifying procedure of the local to global transformation. This assembly procedure applys to both, the FE part as well as the BI part of the algorithm. The geometry is meshed into three-dimensional tetrahedra as finite elements and nearly orthogonal hierarchical basis functions are employed. The boundary conditions are implemented in a strong sense such that the boundary values of the volume basis functions are directly utilized within the BI, either for the tangential electric and magnetic fields or for the asssociated equivalent surface current densities by applying a cross product with the unit surface normals. The self-identified method for the global matrix assembly automatically discerns the global order of the basis functions for generating the matrix elements. Higher order basis functions do need more unknowns for each single FE, however, fewer FEs are needed to achieve the same satisfiable accuracy. This improvement provides a lot more flexibility for meshing and allows the mesh size to raise up to λ/3. The performance of the implemented system is evaluated in terms of computation time, accuracy and memory occupation, where excellent results with respect to precision and computation times of large scale simulations are found.
Effect of Using the Combination of Tween 80 and Ethanol on the Forming and Physical Stability of Microemulsion of Eucalyptus Oil as Antibacterial

Objective: The purpose of this study was to determine the effect of increasing concentrations of the combination of tween 80 and ethanol to the formation and stability of the physical properties of eucalyptus oil micro-emulsion. Methods: This oil is formulated into a micro-emulsion by increasing the concentration of the combination of tween 80 and ethanol (1: 1) with various concentrations, ie 40%, 45%, and 50% as a component of surfactant and cosurfactant. The evaluation was done for 8 weeks covering organoleptic test, test phase separation, viscosity test, measurement of pH, density measurements, measurements of surface tension and particle size measurement. Results: The pH of micro-emulsion showed in the range 5.4 to 6.2. Viscosity results obtained viscosity values between 206.2 to 248 cps. Density measurement results were between 0.9839 to 0.9904 g/ml. The results of surface tension measurement results obtained between 35.83 to 37.10 dyne/cm. The results of particle size measurement results obtained from 23.83 to 30.43 nm. Conclusion: It can be concluded that the use of tween 80 and ethanol can form a micro-emulsion system of eucalyptus oil, and with increasing concentrations of the combination of tween 80 and ethanol can increase the stability of the physical properties of the micro-emulsion system. Key words: Antibacterial, Ethanol, Eucalyptus oil, Micro-emulsion, Stability of the physical properties, Tween 80.
Comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps

We describe a comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps. Five case study cities and towns are chosen for this comparison. Each mapping system is analysed for accuracy under three main headings: spatial coverage, currency, and ground-truth positional accuracy. We find that while there is no clear winner amongst the three mapping platforms each show individual differences and similarities for each of the case study locations. We believe the results described in this paper are useful for those developing Location-based services for countries such as Ireland where access to high-quality geospatial data is often prohibitively expensive or made difficult by other barriers such as lack of data or access restrictions.
Descriptive Subgroup Mining of Folk Music

Descriptive analysis of music corpora is important to musi- cologists who are interested in identifying the properties that characterize specific genres of music. In this study we present such an analysis of a large corpus of folk tunes, all labeled by their origin. Subgroup Discovery (SD) is a rule learning technique located at the intersection of predictive and descriptive induction. One of the advantages of using this technique is the intuitive and interpretable result in the form of a collection of sim- ple rules. Classification accuracy is not the goal of this study. Instead, we discuss some of the highest scoring rules with respect to their descriptive power.
Industrial radiotracer technology for process optimizations in chemical industries – a review

Radioisotope techniques are constantly and extensively used all over the world as a method to identify process systems malfunctions in various industries without requiring the shut down of the processing plant thus leading to high economical benefits to the plant owner. Different aspects of industrial radiotracer technology for troubleshooting, process control and optimization are evaluated through an exhaustive literature survey. The review covers the advantages of radiotracers, most commonly used radiotracers in industry for specific studies, applications of radiotracer techniques in various chemical industries, the design of radiotracer technology experiments, radiation detection and data acquisition in radiotracer technology as well as radiological safety aspects. Two industrial radiotracer techniques of residence time distribution (RTD) measurements and radioactive particle tracking (RPT) are discussed. The design of radiotracer technology experiments are also divided into two categories - radioactive particle tracking applications and residence time distribution applications.