Miracle-dz/UniFAR-FTUs huggingface dataset:
SOME WAYS OF FUEL CONSUMPTION REDUCTION OF DIESEL RAILWAY VEHICLES

The utilization of installed power capacity of internal combustion engines (ICE) in motive power units (especially in shunting locomotives and locomotives for industrial transport) is very low. The mean output of ICE in this operational mode is about 15 – 20 % of its installed power. The result is that most of the time the internal combustion engine works in regimes that are far from optimum mode. It means that specific fuel consumption is high. Some examples of measured operational regimes of locomotives in shunting operation and other motive power units are given in the paper. Kinetic energy of a classic diesel locomotive as well as the DMUs and trains is transformed into thermal energy during braking process. Normally it is not possible to utilize this kinetic energy in a reasonable way. In order to improve fuel economy, the kinetic energy should be transformed into a suitable form and stored for subsequent use. The improvement can be achieved by using of the unconventional traction drive of rail vehicles. One of possible ways is using of the hybrid traction drive. The hybrid drive includes the ICE, generator, traction motors and the energy storage device. In this case the output of ICE can be substantially lower than in the classic traction. The parameters of such traction drive must be based on analysis of real operational regimes of vehicles. Those parameters are particularly: output of ICE, output of traction motors, capacity and output of energy storage devices (accumulators). There are other ways how to save fuel on railway vehicles, e.g. by better utilization of heat released from the fuel or using of solar energy.
A two-layer depth-averaged model of dry granular material for dam-break flows

In this work, we propose a two layer depth-averaged model to describe the propagation up to the deposition of granular avalanches. The model is derived in Cartesian coordinates under the assumption of long wave approximation. The two layers are supposed to follow to different flow regimes. A friction-collisional beaviour is assumed in the upper layer, while a purely frictional behaviour holds in the lower one. The model is numerically integrated through using a finite volume scheme. Since the resulting PDE system is only conditionally hyperbolic, a special treatment, involving the addition of an extra momentum flux across the interface between the layers, is implemented in the numerical scheme. The key features of this approach are illustrated by some numerical tests. Key-Words: depth-averaged models, granular flows, two-layer models, dam-break, avalanche, debris flows
Handbiking-A Low Metabolic Cost of Locomotion for Spinal Cord Injured People

Gabriela Fischer, Leonardo Peyré-Tartaruga School of Exercise and Sport Science, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy; Post-Graduate Program in Pulmonology Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; School of Physical Education, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; Member of Brazilian Paralympic Academy
Optimization of Precursor and Elicitor Utilization in Batch Cultures of Astragalus trojanus Stev

Elicitor and precursor applications are commonly used to induce secondary metabolism in plant cell cultures. In this study, methyl jasmonate, jasmonic acid, salicylic acid and pectin were used as elicitors and β-sitosterol was used as a precursor in batch cultures of Astragalus trojanus in order to trigger astragaloside IV and cycloastragenol productions. Growth parameters (fresh and dry weights and dry weight percentages) of batch cultures were also evaluated in order to understand the effects of elicitors and precursor on primary metabolism. All elicitors and precursor used in this study triggered metabolite production at different stages of culture period. The highest astragaloside IV accumulation (0.9435 μg/mg) was detected in medium supplemented with 50 μM methyl jasmonate at the 14th day of culture period, whereas the highest cycloastragenol concentration (0.3626 μg/mg) was found in medium supplemented with 50 μM jasmonic acid at the 28th day of culture period. Large scale cultivation was also performed and 0.3759 μg/mg astragaloside IV was detected in medium supplemented with 50 μM methyl jasmonate at the 14th day.
Anisotropy in the 3 D multimode Richtmyer-Meshkov instability

This paper examines anisotropy in the Richtmyer-Meshkov instability (RMI) for a given three-dimensional, narrowband, multimodal perturbation, and whether anisotropy persists at later times when the mixing layer is tending towards self-similar growth. In particular, the degree to which viscous dissipation and molecular diffusion affect anisotropy is investigated by comparing the results of a low Reynolds number direct numerical simulation (DNS) with a high Reynolds number large eddy simulation (LES) for the same initial condition and numerical framework, as well as a LES of a quarter-scale initial condition, implemented in the University of Sydney high-order finitevolume code FLAMENCO. Various measures of anisotropy are considered, including ratios of the components of domain integrated turbulent kinetic energy and enstrophy, ratios of directional Taylor-scale Reynolds numbers and Lumley’s anisotropy tensor. The results from the standard LES case show that the flow field is persistently anisotropic in the shock-parallel direction at the latest time considered, while comparisons with the DNS results show that anisotropy is moderately increased at low Reynolds number although tending towards the high Reynolds number results at later times. For the quarter-scale LES it can be seen that at very late times the layer is relaxing towards isotropy although a significant amount of anisotropy remains at the latest time, indicating that any eventual return to isotropy occurs over a very long time scale.
The Modality of Mortality in Domain Names An Indepth Study of Domain Lifetimes

The DNS industry lacks a complete, systematic study on what happens to domains once they have been registered, delegated, and used for the first time. One popular assertion is that most new domain names are malicious [1]. Several commercial and academic studies have addressed similar problems [2, 3, 4], but in this paper we combine a real-time stream of passive DNS observations with active DNS measurements, which we believe provides a much more comprehensive view of the life cycle of DNS names. In this study, we uncover the first seven days of life of 23.8M domains under 936 TLDs, measured over the course of six months from a global Internet perspective. We analyse differences among TLDs and various causes of new domain deaths. We begin our paper by explaining our measurement methodology in Section 2. Then, Section 3 analyses and visualizes obtained results. We conclude in Section 4 by summarizing our research and providing the industry with a recommendation for improving DNS security.
Phenotypic characterization of panelists as selection criterion

The phenotype of perceiving propylthiouracil (PROP) as either bitter or tasteless (so-called “PROP status”) correlates with other sensory parameters, including sensitivity to other tastes or food preference. The present article investigates whether knowledge of the phenotypic PROP status can provide relevant information on the suitability for analytical test procedures. 82 female students without sensory training were classified as PROP non-tasters (PNTs, n = 22), PROP medium-tasters (PMTs, n = 39) or PROP super-tasters (PSTs, n = 21) and the sensitivity to sucrose and caffeine was determined. 45 subjects from all of these three sensitivity groups were then given one week of sensory training (intervention group). The remaining 37 test subjects from all three groups received no intervention (control). The sucrose and caffeine sensitivity of the intervention and control groups were checked at two time points at an interval of 6 months. The results show that the initial differences in caffeine sensitivity in the three sensitivity groups could be eliminated by sensory training, as well as by experience or habituation. Even after an interval of 6 months, caffeine sensitivity did not return to the original value. Thus the phenotypic PROP status is essentially irrelevant to the formation of sensory panels. After sensory training and/or experience and habituation, PNTs and PMTs can achieve the same test sensitivity to sweet and bitter as PSTs.
TEAM DYNAMICS OVER TIME RESEARCH ON MANAGING GROUPS AND TEAMS

Purpose Team composition research considers how configurations (e.g., team-level diversity) of team members’ attributes (e.g., personality, values, demographics) influence important outcomes. Our chapter describes key issues in understanding and effectively managing team composition over time. Methodology/approach We discuss how context shapes team composition. We review empirical research that examined relationships between team composition, and team processes and emergent properties over multiple time points. We review research that examined how composition can be effectively managed over the lifecycle of a team. Findings Context shapes the nature of team composition itself (e.g., dynamic composition). To the extent that membership change, fluid boundaries, and multiple team membership are present should be accounted for in research and practice. The research we reviewed indicated no, or fleeting effects for surface-level (e.g., demographics) composition on the development of team processes and emergent properties over time, although there were exceptions. Conversely, deep-level composition affected team processes and emergent properties early in a team’s lifespan as well as later. Team composition information can be used in staffing; it can also inform how to best leverage training, leadership, rewards, tasks, and technology to promote team effectiveness. Team Dynamics Over Time Research on Managing Groups and Teams, Volume 18, 3 27 Copyright r 2017 by Emerald Publishing Limited All rights of reproduction in any form reserved ISSN: 1534-0856/doi:10.1108/S1534-085620160000018001
University of Groningen Molecular imaging with positron emission tomography and computed tomography (PET/CT) for selecting first-line targeted treatment in metastatic breast cancer Koleva-Kolarova,

Our aim was to evaluate the potential cost-effectiveness of PET/CT with FES and 89Zr-trastuzumab compared to pathology to select first-line targeted treatment in metastatic breast cancer (MBC) patients with non-rapidly progressive disease. A previously published and validated model was extended and adapted for this analysis. Two alternative scenarios were compared. In the care as usual pathway first-line targeted treatment of MBC patients was assigned on the basis of pathology results, while in the intervention pathway treatment selection was based on the results from the PET/CT imaging. Costs, life years gained (LYG) and incremental cost-effectiveness ratios (ICER) were calculated. More MBC lesions were detected in the intervention pathway than in the care as usual pathway. The diagnostic costs to evaluate the receptor status and the treatment costs were higher in the intervention strategy, as were total costs and total LYG. The ICER for replacing biopsies with PET/CT imaging with FES and 89Zr-trastuzumab, assuming sensitivity of 77.1% and specificity of 80%, ranged from €71,000 to €77,000 per LYG. When assuming sensitivity of 80% and specificity of 76.7%, the ICER for replacing biopsies with PET/CT imaging with FES and 89Zr-trastuzumab ranged from to €74,000 to €80,000 per LYG. The application of PET/ CT with FES and 89Zr-trastuzumab in first-line treatment selection for MBC patients has the potential to be a cost-effective intervention. Our analysis demonstrated that even a small increase in the sensitivity and the specificity of PET/CT can have a large impact on its potential cost-effectiveness. www.oncotarget. com Oncotarget, 2018, Vol. 9, (No. 28), pp: 19836-19846
Concrete in the low carbon era: proceedings of the International Conference held at the University of Dundee, Scotland, UK on 9 - 11 July 2012

This work is an experimental approach based on the method of experimental plans to determine a specific formulation of a resin concrete. In this study, an unsaturated polyester resin (thermosetting resin) was used with two types of mineral fillers (dune sand and crushed sand), and with the addition of a marble powder to ensure the continuity of the particle size mixing granular. The lack of the methods for developing this kind of composite materials, had led us to perform an initial experimental approach to define the experimental field, that is to say determine the mass proportions of the various compounds of mixture of our study. In the second approach, we have established and implemented fully experimental plans with three factors namely: (factor 1: sand, factor 2: resin, factor 3: marble powder). Test results being the density of polymer concrete and the mechanical resistances. Finally, multi-parameters regression allowed us to determine predictive mathematical models for the different responses of the study. Tests results showed that at three days we got a tensile strength of about 16 MPa with a resin concrete density of 1.9 g/cm . This shows the advantages of this material. M. Beddar is an associated professor in civil and hydraulic engineering department, Faculty of Technology, M’sila University, Algeria. His is the director of materials and mechanical structures Laboratory. His research interests are fibers reinforced concrete , behavior of concrete under extremes conditions and valorization of solid waste in civil engineering materials. His member of several national and international scientific associations. Z.Boudaoud is an associated professor in civil engineering department, Faculty of Technology, Ouem elbouaghi University, Algeria. His research interests structural analysis of concrete. , and valorization of waste in cimentious materials. M. A.Chikouche is a lecturer in civil and hydraulic engineering department, Faculty of Technology, M’sila University, Algeria. His is member in the materials and mechanical structures Laboratory. His research interests are study of the durability of civil engineering materials. H.S. M’hammedi is an engineer of civil engineering department. Graduted from M’sila University , she is now doing a research about the use of rubber waste in the concrete made from local materials.
On the redshift of the gamma-ray blazar PKS 0447-439 : Optical spectroscopy using Gemini observations with high S / N ratio

The BL-Lac blazar PKS 0447-439 was detected at very high energy gamma-rays by HESS following the discovery by Fermi-LAT. The lack of both emission and absorption lines in BL-Lacs make the estimation of their redshifts very difficult. Modeling the drop in gamma-ray spectra it was possible to have an estimation of redshift for PKS 0447-439 of z∼0.2, which is compatible with the value z=0.205 reported by the identification of Ca II absorption lines in optical spectra. By the identification of a weak line of Mg II using spectra with average signal-to-noise S/N∼80, it has been recently reported a lower limit for the redshift of this blazar of z≤1.246. Triggered by this controversy, we have proposed new optical observations with the Gemini South telescope to perform further spectroscopic analysis with very high S/N ratio (∼200-500). In this work we present a new optical spectrum of PKS 0447-439, and report on the analysis and results of such observations. Even with this significantly high quality signal we were not able to identify any spectral features to allow an estimation of the redshift. In agreement with other recent studies, we identify the Mg II line reported previously as originated in the Earth’s atmosphere, and conclude the lower limit of the redshift is incorrect. More interestingly, we could not identify the Ca II absorption lines used to report a redshift of 0.205.
Physiological Parameters Used To Monitor Asthma

Asthma is a respiratory condition which is chronic in nature and is highly prevalent. The symptoms are shortness of breath, cough, wheeze and chest tightness. Asthma is described by correctable airflow obstruction, hyperresponsiveness and inflammation of the airways. Severe exacerbation accelerates the loss of lung function. This paper deals with investigating sundry physiological functions that can be used to monitor Asthma and chronic obstructive pulmonary disease (COPD). There is lack of resilient methods to continuously monitor Asthma as there are many environmental triggers that springs asthma and persistently monitoring them remains a challenge. Thus their remains a growing need of asthma management. KeywordsAsthma, COPD, exacerbation, heart rate, wheeze, respiratory rate, Pulse oximetry
Influence of Satisfaction with Clinical practice and Image of nurses on Nursing professionalism of Nursing students

Abstract This study examined the influence of satisfaction with clinical practice and the image of nurses on the nursing professionalism of nursing students. The subjects were 184 nursing students in B city who had experienced clinical practice. The data were collectedfrom November 15 to December 15, 2014 and, analyzed using a t-test, ANOVA, Scheff? test, Pearson's correlation coefficients and multiple regression. Significant differences in the nursing professionalism by gender, religion, age,and school record were observed. Nursing professionalism was positively related to the satisfaction with clinical practice. In addition, there was a positive correlation between the nursing professionalism and image of nurses. Meaningful variables that influenced the nursing professionalism were satisfaction with the contents of clinical practice, image of nurses, satisfaction with the course of clinical practice, satisfaction with the environment of clinicalpractice, and school record. These factors comprised 75.8% of the total variance in the nursing professionalism ofnursing students, and the satisfaction with contents of clinical practice was the most influential factor. In conclusion,to increase the nursing professionalism of nursing students, it is necessary to develop educational programs and institutional strategies to improve the satisfaction with clinical practice and the image of nurses.
HIGH PERFORMANCE DATA MINING TECHNIQUES FOR INTRUSION DETECTION

The rapid growth of computers transformed the way in which information and data was stored. With this new paradigm of data access, comes the threat of this information being exposed to unauthorized and unintended users. Many systems have been developed which scrutinize the data for a deviation from the normal behavior of a user or system, or search for a known signature within the data. These systems are termed as Intrusion Detection Systems (IDS). These systems employ different techniques varying from statistical methods to machine learning algorithms. Intrusion detection systems use audit data generated by operating systems, application softwares or network devices. These sources produce huge amount of datasets with tens of millions of records in them. To analyze this data, data mining is used which is a process to dig useful patterns from a large bulk of information. A major obstacle in the process is that the traditional data mining and learning algorithms are overwhelmed by the bulk volume and complexity of available data. This makes these algorithms impractical for time critical tasks like intrusion detection because of the large execution time. Our approach towards this issue makes use of high performance data mining techniques to expedite the process by exploiting the parallelism in the existing data mining algorithms and the underlying hardware. We will show that how high performance and parallel computing can be used to scale the data mining algorithms to handle large datasets, allowing the data mining component to search a much larger set of patterns and models than traditional computational platforms and algorithms would allow. We develop parallel data mining algorithms by parallelizing existing machine learning techniques using cluster computing. These algorithms include parallel backpropagation and parallel fuzzy ARTMAP neural networks. We evaluate the performances of the developed models in terms of speedup over traditional algorithms, prediction rate and false alarm rate. Our results showed that the traditional backpropagation and fuzzy ARTMAP algorithms can benefit from high performance computing techniques which make them well suited for time critical tasks like intrusion detection.
Workforce planning in manufacturing and healthcare systems

This dissertation explores workforce planning in manufacturing and healthcare systems. In manufacturing systems, the existing workforce planning models often lack fidelity with respect to the mechanism of learning. Learning refers to that employees’ productivity increases as they gain more experience. Workforce scheduling in the short term has a longer term impact on organizations’ capacity. The mathematical representations of learning are usually nonlinear. This nonlinearity complicates the planning models and provides opportunities to develop solution methodologies for realistically-sized instances. This research formulates the workforce planning problem as a mixed integer nonlinear program (MINLP) and overcomes the limitations of current solution methods. Specifically, this research develops a reformulation technique that converts the MINLP to a mixed integer linear program (MILP) and proposes several techniques to speed up the solution time of solving the MILP. In organizations that use group work, workers learn not only by individual learning but also from knowledge transferred from team members. Managers face the decision of how to pair or team workers such that organizations benefit from this transfer of learning. Using a mathematical representation that incorporates both individual learning and knowledge transfer between workers, this research considers the problem of grouping workers to teams and assigning teams to sets of jobs based on workers’ learning and knowledge transfer characteristics. This study builds a Mixedinteger nonlinear programs (MINP) for parallel systems with the objective of maxi-
Seguridad y calidad de vida en pacientes con cáncer colorrectal no metastásico: 5-fluorouracilo frente a cabecitabina

El cancer colorrectal (CCR) es la neoplasia mas frecuente del aparato digestivo y el tercer tumor de mayor incidencia a nivel mundial. Tras el diagnostico de CCR hay que conocer la estadificacion del mismo para poder emplear el mejor esquema terapeutico posible; en los estadios I y II el tratamiento es unicamente quirurgico y, en los estadios II de alto riesgo y estadios III se complementa con quimioterapia adyuvante. Estos pacientes se benefician de la adicion de oxaliplatino a 5-fluorouracilo de administracion intravenosa o a capecitabina de administracion oral como terapia adyuvante (esquemas FOLFOX y XELOX, respectivamente). De casi todos los farmacos que se emplean actualmente en el tratamiento del CCR estadio II y III hay aprobados y comercializados medicamentos genericos, con su consiguiente ahorro economico. En el caso concreto de capecitabina, la aparicion del medicamento generico es mas reciente, lo que implica que en la practica clinica habitual puedan emplearse todavia ambas presentaciones, innovadora y generica.