Miracle-dz/UniFAR-FTUs huggingface dataset:
Techno-Economic Analysis of Bio-Alcohol Production in the EU. A Short Summary for Decision-Makers.

This report aims at presenting in a relative condensed format the crucial facts relative to the bioethanol technique. It is meant for the reference of non-technical decision makers that require an overview of the techno-economic characteristics of this emerging approach towards a more sustainable transportation system. Data have been extracted from a number of different sources. A basic reference for the techno-economic analysis has been the Institut National de la Recherche Agronomique-France and Teagasc Crops Research Centre-Ireland, but several other sources have been used also. These data have been gathered and harmonized for sake of comparability, and processed to provide an overview of the techno-economic of bioethanol in section 2. Several issues may be highlighted: • Due to the cost structure of bioalcohol production, its competitiveness mainly depends on the price of the biomass feedstock and processing costs. • Technological improvements may contribute to increase the market penetration possibilities of bioethanol, but a mature bioethanol economic sector is conditioned by a stable and low cost feedstock supply. • The competitiveness of bioethanol also depends on the evolution of the prices of mineral fossil fuels. • Two of these parameters are highly volatile and difficult to predict: feedstock and fuel prices. Policies to ensure price stability should be endeavored to favor a deeper penetration of bioethanol crops. • Technology developments on lignocellulosic feedstock processing may be key in order to achieve bioalcohol cost competitiveness against fossil fuels. • Bioethanol blends, mixing bio-fuel and mineral fossil fuel are a viable way to foster a less carbon-intensive automotive sector. • In the long-run, however, and considering the agricultural yields, bioethanol is likely to be able to supply a two-digit percentual share of the European automotive transportation needs.
Evaluation of Organizational Commitment Models and their components in Asian Cities

Most studies in organizational commitment that conducted in Asian cities employed the three-component model of Meyer and Allen (1991). The five-component organizational commitment model of Wang (2004) had provided a better explanation of organization commitment behaviour in her research. In order to evaluate the appropriateness of Wang’s model, this research used her five-component model in studying the organizational commitment in Hong Kong. This research also provided an evaluation of its results with other relevant research in Asian cities in order to compare the organizational commitment behaviour in this area. Data was collected from 310 Information and Communication Technology (ICT) professionals in Hong Kong. Results indicate that Wang’s model is more appropriate than other western models in describing employees’ commitment in Hong Kong. By comparing the data collected in this research and recent findings from other researchers in Asian cities, the evaluation of these results indicates that the level of organizational commitment in Hong Kong is higher than those in other Asian cities.
Factors Influencing Online Shopping Behavior of Consumers

Online shopping or e-shopping is an emerging trend in many developing countries. The study examined the factors that influence the online shopping behavior of consumers. It took its substance from the Technology Acceptance Model (TAM) which had primarily focused on two main domains of perceived usefulness and the ease of use. Many researchers had used TAM in the past for the purpose of identifying and predicting different factors that motivate or demotivate a consumer in using any technology. Investigators had further extended TAM and many other variables have been incorporated in it till date. This inquiry undertook the challenge to explicate the underlying factors that stimulate consumers’ actions to use internet as a shopping standard. Data was collected and analyzed from 132 internet users on four measures of usefulness, ease of use, financial risk and attitude. Among these four variables usefulness was found to be the noteworthy forecaster of attitude towards online shopping, however, ease of use and financial risk did not have strong influence on attitude as compared to usefulness and ease of use.
Effect of Aerobic Exercises on Introvertover Weight Children Who Usemodern Technology

Background: The increasing amount of time that people spend using computers and watching TV is a major factor in rising rates of obesity. Children who are heavily engaged in social networking have an increased chance of developing antisocial personality disorder. The Body Mass Index forage percentile growth charts are indicator to measure the size and growth patterns of children and teens. Introversion scale has good reliability . Aerobic Exercise can have positive effects on self-esteem, self-confidence and behavior in children and youth. Therefore this work studied the effect of aerobic exercise on introverted overweight children. Methodology: One hundred introverted overweight children chosenfrom preparatory school by introversion scale and BMI for children.Quasi-experimental design was used in this study. Their ages ranged from 13to15 years. Introversion characteristic and weight again was measured before and after 3 months of treatment (3sessions /week of aerobic exercises, treadmill and bicycle for 1 hour). Results: there is improvement in bothintroversion and over weight in 83% Improvement in only introversion (5%), improvement only in overweight (8%) , and there is no improvement in 4%of sample . Conclusion: Aerobic exercises are effective modality in treatment of introverted overweight children.
Fast and Sample-Efficient Learning for Latent Dirichlet Allocation

Topic models have emerged as fundamental tools in unsupervised machine learning. Most modern topic models take a probabilistic view and are derived from Latent Dirichlet allocation (LDA). While efficient algorithms to estimate topic-word distribution from the observed documents for LDA are known, it is not well understood how many document samples are sufficient (or necessary) for this unsupervised learning task. In this work, we study the sample complexity of efficient learning algorithms for LDA. Concretely, if there are k topics and typically α0 topics per document, we can learn the topic-word distributions for LDA in polynomial time from only roughly k · α0 documents. We also show that this bound on the sample complexity is tight up to poly-logarithmic factors. Finally, we present a number of numerical experiments showcasing the sharpness of our sample complexity bounds.
“TORINO 1911” PROJECT: A CONTRIBUTION OF A SLAM-BASED SURVEY TO EXTENSIVE 3D HERITAGE MODELING

Abstract. In the framework of the digital documentation of complex environments the advanced Geomatics researches offers integrated solution and multi-sensor strategies for the 3D accurate reconstruction of stratified structures and articulated volumes in the heritage domain. The use of handheld devices for rapid mapping, both image- and range-based, can help the production of suitable easy-to use and easy-navigable 3D model for documentation projects. These types of reality-based modelling could support, with their tailored integrated geometric and radiometric aspects, valorisation and communication projects including virtual reconstructions, interactive navigation settings, immersive reality for dissemination purposes and evoking past places and atmospheres. The aim of this research is localized within the “Torino 1911” project, led by the University of San Diego (California) in cooperation with the PoliTo. The entire project is conceived for multi-scale reconstruction of the real and no longer existing structures in the whole park space of more than 400,000 m2, for a virtual and immersive visualization of the Turin 1911 International “Fabulous Exposition” event, settled in the Valentino Park. Particularly, in the presented research, a 3D metric documentation workflow is proposed and validated in order to integrate the potentialities of LiDAR mapping by handheld SLAM-based device, the ZEB REVO Real Time instrument by GeoSLAM (2017 release), instead of TLS consolidated systems. Starting from these kind of models, the crucial aspects of the trajectories performances in the 3D reconstruction and the radiometric content from imaging approaches are considered, specifically by means of compared use of common DSLR cameras and portable sensors.
Using Social Media Data for Online Television Adaptation Services at RTÉ Ireland

Publication Information Barraza-Urbina, Andrea, Hromic, Hugo, Heitmann, Benjamin, Tamatan, Himasagar, Yañez, Andrea, & Hayes, Conor. (2016). Using social media for online television adaptation services at RTÉ Ireland (pp. 91). Galway: Insight Centre for Data Analytics, National University of Ireland, Galway. Publisher Insight Centre for Data Analytics, National University of Ireland, Galway Link to publisher's version http://dx.doi. org/10.13025/S8059M
Mature age ‘white collar’ workers’ training and employability

Global concerns about the growing impact of ageing populations on workplace productivity and on welfare budgets have led to a range of governmentsupported measures intended to retain and upskill older workers. Yet, a consistent theme in the research literature is that older workers are reluctant and harder to train than younger workers, and that, regardless, employers are ambivalent about supporting such training. However, a survey of over 250 mature-age workers in mainly professional and administrative (i.e. 'white collar') roles identified strong interest and belief in their capacity to engage in learning required to maintain their employability, and that their employers are often supportive of their ongoing education and training. The data also indicate that these workers found personal worth in their work, felt respected and acknowledged by coworkers, and wanted to contribute more fully to their workplaces. These findings not only contradict what is consistently reported elsewhere, but suggest that age per se may not be the factor that shapes perceptions of older workers' employability, but the kinds of employment and level of education held by older workers. Therefore, extending the working lives of these valued 'white collar' workers might need to be realised through continuing to provide them with opportunities for rich work and further development to sustain their capacities and interest in contributing to their work and workplaces.
Advances in thromboprophylaxis in trauma patients, based on current guidelines and research

Introduction. Thromboprophylaxis remains a significant element in the operative and non-operative treatment of trauma patients due to high risk of thromboembolic incidents. This problem concerns a major part of trauma patients. Objective. The aim of the study is to review and evaluate the efficacy of the pharmacological and non-pharmacological methods of venous thromboembolic (VTE) prophylaxis. Brief state of knowledge. There are a few pharmacological methods of VTE prevention, such as: unfractionated heparin (UFH), low molecular weight heparin (LMWH), vitamin K antagonists (VKA), factor Xa inhibitors and direct thrombin Inhibitor. There are also a couple of non-pharmacological methods: intermittent pneumatic compression and graduated compression stockings. The choice of method should be guided by the type of trauma, patient’s health status, and potential contraindications for other methods of prophylaxis. Methods. The authors analyzed recent guidelines and research using the most up-to-date sources. The types of traumas were categorized, and a summary compiled of the best way of VTE prophylaxis for each type of trauma. Recommended methods were also rated with the risk of VTE and haemorrhage. Conclusions. The conclusions show that there are still too few studies and the guidelines extant are unambiguous (ambiguous? ). Improvment must be sought for in thromboprophylaxis and toward defining uniform guidelines. Due to the large number of surgeries in the treatment of traumas, there is a need to retain all the guidelines in one article. Every operation is connected with high risk of venous thromboembolism, therefore optimal prophylaxis is crucial.
Predicting Ice Shape Evolution in a Bulk Microphysics Model

AbstractA novel bulk microphysics scheme that predicts the evolution of ice properties, including aspect ratio (shape), mass, number, size, and density is described, tested, and demonstrated. The scheme is named the Ice-Spheroids Habit Model with Aspect-Ratio Evolution (ISHMAEL). Ice is modeled as spheroids and is nucleated as one of two species depending on nucleation temperature. Microphysical process rates determine how shape and other ice properties evolve. A third aggregate species is also employed, diversifying ice properties in the model. Tests of ice shape evolution during vapor growth and riming are verified against wind tunnel data, revealing that the model captures habit-dependent riming and its effect on fall speed. Lagrangian parcel studies demonstrate that the bulk model captures ice property evolution during riming and melting compared with a bin model. Finally, the capabilities of ISHMAEL are shown in a 2D kinematic framework with a simple updraft. A direct result of predicting ice shape e.
Antioxidant Activity, Phenolic and Flavonoid Contents of some Wild Medicinal Plants in Southeastern Algeria

This study reported on five plants known for their use in traditional medicine in southeastern Algeria, namely: Artemisia campestris, Asteriscus pygmaeus, Pituranthos chlorantus, Pallenis spinosa and Aizoon hispanicum. The work aimed to determine the antioxidant activity, phenol and flavonoid contents of their aqueous and methanolic extracts. Flavonoids and phenol contents varied according to the nature of the extract and the nature of the plant. Total phenols varied from 30.33 ± 2.03 μg EAG/mg of plant in aqueous extract of Aizoon hispanicum to 280 ± 5.46 μg EAG/mg plant extract in methanolic extract of A. campestris. Flavonoid contents were between 0.071 ± 0.0008 μg QE/mg extract in A. hispanicum aqueous extract and 29.68 ± 0.32 μg QE/mg extract in A. campestris methanolic extract. The aqueous extracts showed the lowest values of flavonoid contents while the methanol extracts showed the highest ones. The antioxidant activities expressed as IC50 values varied from 8.66±1.52 μg/ml for Artemisia aqueous extract, the most active to 325.7±5.50 μg/mL of DPPH solution to the less active Aizoon aqueous extract. The radical scavenging activity decreased in the following order: A. campestris > P. spinosa> P. chlorantus > A. pygmaeus > A. hispanicum. Key words: Antioxidant, flavonoids, phenols, plants.
NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage

—Large enterprises are increasingly relying on threat detection softwares (e.g., Intrusion Detection Systems) to allow them to spot suspicious activities. These softwares generate alerts which must be investigated by cyber analysts to ﬁgure out if they are true attacks. Unfortunately, in practice, there are more alerts than cyber analysts can properly investigate. This leads to a “threat alert fatigue” or information overload problem where cyber analysts miss true attack alerts in the noise of false alarms. In this paper, we present N O D OZE to combat this challenge using contextual and historical information of generated threat alert. N O D OZE ﬁrst generates a causal dependency graph of an alert event. Then, it assigns an anomaly score to each edge in the dependency graph based on the frequency with which related events have happened before in the enterprise. N O D OZE then propagates those scores along the neighboring edges of the graph using a novel network diffusion algorithm and generates an aggregate anomaly score which is used for triaging. We deployed and evaluated N O D OZE at NEC Labs America. Evaluation on our dataset of 364 threat alerts shows that N O D OZE consistently ranked the true alerts higher than the false alerts based on aggregate anomaly scores. Further, through the introduction of a cutoff threshold for anomaly scores, we estimate that our system decreases the volume of false alarms by 84%, saving analysts’ more than 90 hours of investigation time per week. N O D OZE generates alert dependency graphs that are two orders of magnitude smaller than those generated by traditional tools without sacriﬁcing the vital information needed for the investigation. Our system has a low average runtime overhead and can be deployed with any threat detection software.
Influence of the trajectory of air masses on the in situ measurements of aerosol properties in Valencia

We analyzed the influence of the trajectory of air masses on the in situ measurements of aerosol properties (scattering and backscattering coefficients and scattering Ångström exponent) in Valencia (Spain) for the March 2006 to December 2009 period. The scattering (σsp) and backscattering (σbsp) coefficients were measured with a TSI 3563 integrating nephelometer. From the σsp and σbsp measurements, it is also possible to calculate the scattering Ångström exponent (αs). By classifying the source regions of air masses by sectors, it has been possible to establish the dependence of aerosol properties on the type of dominant air mass, proving that in situ measurements of aerosol properties are parameters that are sensitive to the type of air mass. The highest values of scattering and backscattering coefficients are obtained under the influence of masses from North Africa and the European continent, while the lowest are obtained for Arctic-type air masses. The scattering Ångström exponent presents its highest values under the influence of European-type masses, while the lowest values are obtained for Arctic and Polar type masses.
Study of Doppler reflectometry capability to determine the perpendicular velocity and the k-spectrum of the density fluctuations using a 2D full-wave code

The capability of Doppler reflectometry to determine the perpendicular velocity and the perpendicular wave-number spectrum of the density fluctuations has been studied using a two-dimensional full-wave code. The numerical results show that the perpendicular velocity of the density fluctuations can be obtained with high accuracy for broad ranges of antenna tilt angles, turbulence levels and radial correlation lengths of the density fluctuations. The diagnostic potential of Doppler reflectometry to determine the perpendicular wave-number spectrum of the density fluctuations depends on the reflectometer response at different probed wave numbers and different turbulence levels. A linear dependence between the scattered wave amplitude and the turbulence level has been found for low turbulence levels and short radial correlation lengths of the density fluctuations, whereas at high turbulence levels and/or large radial correlation lengths the relationship becomes non-linear. In addition, numerical results show that the reflectometer response depends only very slightly on the probed wave number.
Human resource management in small and medium-sized vineyards in Chile

G. Perez Arrau, and F. Munoz Medina. 2014. Human resource management in small and medium-sized vineyards in Chile. Cien. Inv. Agr. 41(2): 141-151. The focus of this paper is the identification of human resource management practices in small and medium-sized vineyards in Chile, identifying agents and relevant groups that allow a better understanding of how these companies manage their human resources. The research is based on 22 interviews held with personnel managers and key informants from a total of 16 wine-producing vineyards between 2009 and 2012. The research involved collecting studies and analyzing the specialized literature on human resource management in small and medium-sized enterprises (SMEs). The research highlights the features, relevant problems and challenges of human resources management with the aim of improving production, innovation and long-term sustainability. Although the wine industry is an emblematic economic area of Chile, how it manages its human resources is unknown, so this research focuses on this little-known area that is so important to productivity.
Dissipative particle dynamics study of spontaneous vesicle formation of amphiphilic molecules

A dissipative particle dynamics (DPD) simulation has been used to study the spontaneous vesicle formation of amphiphilic molecules in aqueous solution. The amphiphilic molecule is represented by a coarse-grained model, which contains a hydrophilic head group and a hydrophobic tail. Water is also modeled by the same size particle as adopted in the amphiphile model, corresponding to a group of several H2O molecules. In the DPD simulation, from both a randomly dispersed system and a bilayer structure of the amphiphile for the initial condition, a spontaneous vesicle formation is observed through the intermediate state of an oblate micelle or a bilayer membrane. The membrane fluctuates and encapsulates water particles and then closes to form a vesicle. During the process of vesicle formation, the hydrophobic interaction energy between the amphiphile and water is diminishing. It is also recognized that the aggregation process is faster in two-tailed amphiphiles than those in the case of single-tailed ones.
Parameter Estimation for Heuristic-based Internet Traffic Classification

Accurate traffic classification is necessary for many administrative networking tasks like security monitoring, providing Quality of Service and network design or planning. We apply 18 machine learning algorithms to classify network traffic based on six classes of statistical parameters. In contrast to other studies, we use a per-packet approach instead of a perflow approach to make it possible to use the classification results for real-time network interception. In this paper we illustrate the accuracy of the algorithms with different parameter combinations with the goal to reduce the amount of necessary parameters needed for high accuracy traffic classification. Our results indicate that some parameter combinations can be used to classify a large number of protocols. We identified algorithms with good and worse classification accuracy and algorithms which need much time for classification, so that they cannot be used for real-time classification. Keywords-flow classification, Internet traffic, traffic identification.
Tight- binding study of electronic band structure of anisotropic honeycomb lattice

Abstract: The two-dimensional structure of graphene, consisting of an isotropic hexagonal lattice of carbon atoms, shows fascinating electronic properties, such as a gapless energy band and Dirac fermion behavior of electrons at fermi surface. Anisotropy can be induced in this structure by electrochemical pressure. In this article, by using tight-binding method, we review anisotropy effects in the electronic nanostructure of graphene in one direction. For this purpose, we just consider π states, which express electronic characteristics, and compare electronic band of π states with that of isotropic honeycomb lattice in graphene. As a result, by applying pressure or stretching in one direction, the gap will be created in the electronic band at the fermion surface, which can be useful for semiconducting nano devices. The isotropic graphene has a band structure with no energy gap. By applying electrochemical pressure in one direction, the translational symmetry can be broken, therefore an energy gap appears between the two bands.