Miracle-dz/UniFAR-FTUs huggingface dataset:
Contribution à la résolution de problèmes de compatibilité électromagnétique par le formalisme des circuits électriques de KRON

L’analyse de la Compatibilite ElectroMagnetique (CEM) des systemes complexes consiste a prevoir le comportement EM d’appareils electroniques immerges dans un environnement ou interviennent des interactions de natures tres variees. Ce peut etre des phenomenes multiphysiques ou se combinent des couplages EM et thermiques; il peut aussi s’agir d’architectures mulitechelles comportant des composants de dimensions disproportionnees devant la longueur d’onde; ces interactions peuvent aussi concerner des configurations multiparametres lorsque plusieurs elements interviennent simultanement dans le calcul des perturbations EM. La these a consiste en la mise en place d’une methode qui semble bien adaptee a la resolution de ces problemes de CEM complexes. L’outil developpe s’appuie sur l’utilisation de l’analyse tensorielle des reseaux electriques instauree par G. KRON et qu’on envisage etendre a la CEM des systemes complexes. Le raisonnement consiste a fusionner differents outils numeriques de simulations existants, au moyen d’une methodologie basee sur l’assimilation d’un grand systeme a un assemblage de circuits electriques equivalents. Circuits auxquels nous pourrons associer la resolution d’une equation contenant un super-tenseur impedance ainsi que des tenseurs fem et courants dont il faut s’efforcer de determiner les regles de construction. A titre d’illustration, le couplage EM entre câbles, le blindage des lignes, les antennes et une cavite EM ont ete simule par le formalisme de KRON pour permettre la mise en forme d’une bibliotheque de sous-fonctions reutilisables pour l’etude de systemes plus complexes
Development and Psychometric Testing of a Generic Student Engagement Scale for Contemporary Healthcare Education

Background: Student engagement receives heightened research attention in traditional and contemporary education. This study aimed to develop and validate a Generic Student Engagement Scale (GSES) for the use in contemporary healthcare education including online, distance learning or e-learning.Methods:A 2-phased methodological study employed a cross-sectional design with repeated measures. Phase 1 aimed to develop the items of GSES for the use in generic learning environment of nursing students through item development/revision, content validation, face validation, and statement standardization. Phase 2 aimed to test the psychometric properties of the newly developed GSES on its internal consistency, stability, and factorial validity. Data was collected in 2016-2018. Results:Based on 45 items of the Distance Students Engagement Scale (i.e., 3-factor model), 39 items were revised and adapted to fit the generic learning environment in nursing education. Seven experts and 20 nursing students examined each items and indicated a satisfactory content (CVI = 0.71–1.00 except item G9) and face validity (100% comprehensibility and interpretability). By analyzing 451 valid data from nursing students, confirmatory factor analysis did not support this 3-factor model GSES. Exploratory factor analysis was used to explore the new internal structure of GSES. The 26-item 4-factor solution that accounted for a total of 41.0% variance was found the most optimal. The factors were labelled “self-regulated learning”, “cognitive strategy use”, “teacher-student interaction”, and “experienced emotion”. The internal consistency and stability of this new model was re-examined with satisfactory results.Conclusions:The newly developed 26-item 4-factor GSES is reliable and valid scale measuring student engagement among nursing students.
Effects of Water Injection into Fractured Geothermal Reservoirs: A Summary of Experience Worldwide

Reinjection of water into fractured geothermal reservoirs holds potential both for improvement and degradation of total energy recovery. The replacement of reservoir fluid can mean support of placement of reservoir pressures and also more efficient thermal energy recovery, but at the same time the premature invasion of reinjected water back into production wells through high permeability fractures can reduce discharge enthalpy and hence deliverability and useful energy output. Increases in reservoir pressure and maintenance of field output have been observed in operating fields, but unfortunately so too have premature thermal breakthroughs. The design of reinjection schemes, therefore, requires careful investigation into the likely effects, using field experimentation. This paper summarizes field experience with reinjection around the world, with the intention of elucidating characteristics of possible problems. The results summarized in this paper fall into three categories of interest: permeability changes dye to injection (both increases and decreases); the path followed by injected water (as indicated by tracer tests); and the thermal and hydraulic influences of injection on the reinjection well itself and on surrounding producers. [DJE-2005]
Modeling the Determinants of Time-to-Premarital Cohabitation among Women of Ethiopia: A Comparison of Various Parametric Shared Frailty Models

Background: Premarital cohabitation is defined as the state of living together and having a sexual relationship without being married. It has become more prevalent globally in recent decades. The main objective of this study was modeling the potential risk factors of time-to-premarital cohabitation among women of Ethiopia by using parametric shared frailty models where regional states of the women were used as a clustering effect in the models.Methods: The data source for the analysis was the 2016 EDHS data. The Gamma and Inverse-Gaussian shared frailty distributions with Exponential, Weibull, Log-logistic and Lognormal baseline models were employed to analyze risk factors associated with age at premarital cohabitation. All the fitted models were compared by using AIC values.Results: The median age of women at premarital cohabitation was 18 years. Based on AIC values, Log-logistic-Gamma shared frailty model has smallest AIC value among the models compared. The clustering effect was significant for modeling the determinants of time-to-premarital cohabitation dataset. The results showed that women’s education status, occupation, pregnancy and place of residence were found to be the most significant determinants of age at premarital cohabitation whereas wealth status and religion were not significant at 5% level.Conclusions: The Log-logistic-Gamma shared frailty model described the premarital cohabitation dataset better than other distributions used in this study. There is heterogeneity between the regions of women. Further studies should be conducted to identify other factors of age at premarital cohabitation of women in Ethiopia that were not included in this study.
INFLUENCE OF ANGLE OF INCIDENCE ON THE SEISMIC DEMANDS FOR INELASTIC STRUCTURES SUBJECTED TO BI-DIRECTIONAL GROUND MOTIONS

Title of Document: INFLUENCE OF ANGLE OF INCIDENCE ON THE SEISMIC DEMANDS FOR INELASTIC STRUCTURES SUBJECTED TO BIDIRECTIONAL GROUND MOTIONS Antonio Bruno Rigato, Doctor of Philosophy, 2007 Directed By: Assistant Professor Ricardo A. Medina, Department of Civil Engineering and Environmental Engineering This study investigated the influence that angle of incidence of applied bi-directional ground motions had on several engineering demand parameters (EDPs) for inelastic structures. The EDPs of interest in this study were peak drift, peak ductility, and peak slab rotation demands. The structural models had various degrees of inelasticity, plan irregularities, 5% damping ratios, and fundamental periods that ranged from 0.2 seconds to 2.0 seconds. This work utilized suites of ground motions recorded on stiff soils and on rock. The critical angle (the angle of incidence at which an EDP achieves a maximum) for a given EDP and bi-directional ground motion was found to occur at virtually any angle of incidence. For a given bi-directional ground motion and given fundamental period, the critical angle was found to vary unpredictably with increasing degree of inelasticity. The results also indicated that, on average, applying bi-directional ground motions only along the principal axes of an inelastic building underestimated the peak deformation demands when compared to those obtained at other ground motion angles of incidence. For a given degree of inelasticity, the average ratio of peak deformation responses based on all angles of incidence to the peak deformation response when the ground motion components were applied along the principal building orientations increased with fundamental period of vibration. Specifically, the results from this study indicated that for small and moderate degrees of inelasticity, average values for maximum inelastic deformation demands relative to the principal orientation ranged from 1.1 to 1.8 (for fundamental periods ranging from 0.2 seconds to 2.0 seconds). In addition, the standard deviations of such ratios are typically on the order of 0.15 to 0.8 which can be approximated by the standard deviation of the spectral ground motion component ratios. In this context, spectral component ratios refer to the ratio of spectral horizontal component accelerations at the fundamental period of the structure. A statistical analysis of the results also demonstrated that these ratios of peak deformation demands are weakly dependent on moment magnitude and distance for ground motions and structural systems with characteristics consistent with those used in this study. INFLUENCE OF ANGLE OF INCIDENCE ON THE SEISMIC DEMANDS FOR INELASTIC STRUCTURES SUBJECTED TO BI-DIRECTIONAL GROUND MOTIONS
Ecological dynamics of macrolepidoptera feeding on box elder (Acer negundo L.)

Title of Dissertation: ECOLOGICAL DYNAMICS OF MACROLEPIDOPTERA FEEDING ON BOX ELDER (ACER NEGUNDO L.) Eric Michael Lind, Doctor of Philosophy 2008 Dissertation Directed by: Pedro Barbosa Department of Entomology Understanding species abundances and distributions is a major goal of ecology. While manipulative experiments can reveal mechanistic properties of interactions among a small number of species, and macroecological studies can draw fundamental insights from patterns at a large scale, inference about local communities as a whole requires a combination of these approaches. I used a suite of techniques to better understand the ecological dynamics of a group of insect herbivores, the assemblage of moth caterpillars feeding on box elder, a common riparian tree. I examined the landscape ecology of the assemblage to determine the degree of turnover at multiple scales, and how diversity of the assemblage depended on host plant context. I found apparent homogeneity of caterpillar diversity masked important differences in co-occurrence even at small scales, though the expected influence of host plant diversity was not observed. Examining the species through time, I investigated how species abundance was related to body size, intrinsic population growth rate, and diet breadth. Whereas body size did not scale significantly with abundance in this group of species, and diet breadth had a complex relationship with abundance, the population growth rate developed in association with the host plant explained the differential abundance of species on the plant quite well. Finally, I quantified elemental content of species in the group, to determine how stoichiometric constraints related to size and growth rates of caterpillars in the assemblage. I found some support for a theory connecting elemental composition to ecological interactions, though the results were species-dependent. Throughout these investigations I explicitly considered the evolutionary relatedness of co-occurring species using phylogenetic methods. By merging ecological and phylogenetic data, a more unified picture of the important mechanisms underlying species properties can be obtained. Through tests of theory at the landscape, community, and individual level, I have presented a clearer picture of the forces structuring this assemblage of caterpillars, and provided a template for investigations of community dynamics at a similar scale. ECOLOGICAL DYNAMICS OF MACROLEPIDOPTERA FEEDING ON BOX ELDER (ACER NEGUNDO L.)
The relationship between brand associations and fan behaviours for football teams

The intense competition in the sports sector has caused changes in the sports marketing perception of team management. Club managements aim to develop brand relationships, strengthen fan loyalty and manage fan behaviors to establish an emotional bond between club brands and fans for gaining competitive advantage. In this context, the current study aimed to assess the relationships between brand relationships, fan loyalty, and fan behavior in football teams. The survey sample is 503 (293 male, 210 female) respondents. Data were collected from Besiktas Gymnastics Club, Fenerbahce Sports Club, and Galatasaray Sports Club team supporters by face-to-face survey method. The structural equation model was used in the research hypothesis testing. The findings identified no statistically significant effect of the attributes and benefits, defined as team brand associations facets, on fan behaviors. Brand associations had a significant influence on the attitudinal and behavioral loyalty of supporters. Besides, behavioral loyalty was an important determinant of fan behaviors. The results indicated that approximately 68% of the variance of attitudinal loyalty could be explained by the attributes and benefits of brand associations’ facets (R2=.677). Furthermore, facets of the brand associations accounted for approximately 66% of behavioral loyalty variance (R2=.659). Both brand associations (attributes and benefits) and fan loyalty (attitudinal and behavior loyalty) facets explained approximately 32% of the variance in fan behavior (R2=.317). Consequently, it is important to create strong and competitive brand associations in football teams, independent of sporting achievement, create positive fan behaviors, and support these behaviors. The research results could be useful for sports managers/marketers and theorists to explain and interpret fan behaviors.
AERVA JAVANICA MEDIATED SYNTHESIS, CHARACTERIZATION AND ANTIMICROBIAL EVALUATION OF ZINC OXIDE NANOPARTICLES

Zinc is an indispensable trace element in the human body. Nano sized zinc-based particles have extensive applications in different fields such as medicine, agriculture and biotechnology. The present study was designed to describe the rapid, simple and environment friendly synthesis of zinc oxide nanoparticles (ZnO NPs) using Aerva javanica. In the current study, biosynthesis and characterization of ZnO NPs using Aerva javanica leaf extract is reported for the first time. Synthesized ZnO NPs were characterized by X-Ray Diffraction (XRD) and Fourier Transform Infrared Spectroscopy (FTIR) techniques. Synthesized ZnO NPs were tested against antimicrobial activity using the agar diffusion method. Antibacterial activity of ZnO NPs (10 mg/mL) was measured and zones of inhibition (MIC) against S. aureus and P. aeruginosa were measured as 13.5 mm + 0.8 and 5 + 2.8 mm while ZnO NPs (40 mg/mL) exhibited 18.4 + 4.3 and 8 + 2.8 mm for S. aureus and P. aeruginosa respectively. Antifungal activity of ZnO NPs (10 mg/mL) was measured and MIC against C. albicans and A. niger were recorded as 2.6 mm + 1.7 and 2+ 0.5 mm while ZnO NPs (40 mg/mL) exhibited 6.6 + 2.0 and 2.5 + 0.5 mm for C. albicans and A. niger respectively. Our study concluded that MIC for S. aureus and C. albicans was found to be higher as compared to P. aeruginosa and A. niger. Data analysis showed that ZnO NPs had a significant inhibitory antibacterial effect as compared to antifungal. Thus, present study depicts that the plant extract of A. javanica can be a valuable natural resource to synthesize the functional nanomaterials for targeted applications particularly in molecular medicine.
Fitness evaluation of Gaelic football players

Purpose: A prospective observational study design was used to assess selected fitness parameters in club level (CL) and county level (CO) Gaelic football players and, to determine the accuracy of the 20 m shuttle run test (20 MST) in predicting V 0 2max in Gaelic football players. Methods: A total of 213 Gaelic football players (95 CL, 118 CO) were recruited to part in the study Subjects underwent a number of laboratory and field-based tests to assess physical characteristics, flexibility, power, speed, agility and aerobic capacity. The validity and reliability of the 20 MST as a predictor of V0 2max was assessed on a random sample of 32 players representing CO and CL Each player undertook in random order 2 separate 20 MST tests and, 2 continuous incremental treadmill exercise tests to assess maximal aerobic capacity. Results CO had higher (p<0 05) levels of flexibility, lower (p<0 05) percent body fat and smaller (p<0 01) waist circumference than CL. There was no difference in any of the other measured physical characteristics between CO and CL County level players outperformed club players in all indices of speed and agility evaluated Vertical jump scores, anaerobic power, anaerobic capacity, V 0 2max , maximal heart rate or maximal ventilation and %V 0 2 at ventilatory threshold were similar in CO and CL. There was a significant positive relation (r =0 654, p<0 01) between the number of shuttle runs completed during the MST and measured V 0 2max, and between the estimated V o 2max and directly measured V 0 2max (r = 0 673, p< 0 01). Conclusion Physical characteristics are similar in CO and CL. With the exception of indices of speed and agility, fitness levels are similar in CO and CL. The 20 MST is a modest predictor of V0 2max in CO and CL.
Asset Pricing with Neural Networks: A Variable Significant Test

To facilitate crossing from the "black box" to "glass box" in the application of neural networks (NNs), we develop a variable significant test for the multi-layer perceptrons. To derive the test statistic and its asymptotic distribution, we provide the consistency of the multi-layer perceptrons via the method of sieves. We apply the proposed test to identify the most significant predictors in forecasting equity risk premium. The main results show the superiority of NN relative to the linear regression for forecasting excess returns benchmarking against naive zero forecasts. Furthermore, the most significant predictors are inflation, percent equity issuing, and default return spread.
The impact of asynchronous and synchronous instruction and discussion on cognitive presence, social presence, teaching presence, and learning

As higher education institutions enter the intense competition of the rapidly growing global marketplace of online education, the leaders within these institutions are challenged to identify factors critical for developing and for maintaining effective online courses. Computer mediated communication systems are considered one of the critical to the successful online courses. Using the Community of Inquiry Framework, this study, in two parts, examined the use of CMC systems. Results of the causal comparative design suggested no significant difference in cognitive presence, teacher presence, and perceived learning between online students who used only asynchronous CMC systems and those who used a combination of both asynchronous and synchronous CMC systems; however, the study did provide evidence that online students who used a combination of CMC systems had statistically significantly higher levels of social presence than the students who used only asynchronous CMC systems. Results of the true experimental design suggested no significant difference in social presence, cognitive presence, teacher presence, and perceived learning between the two groups of online students.
Improving Protection Agains Intruders Using Passive Sonar

Divers and small vessels are increasingly recognized as a potential threat to high value assets. Harbour and waterside surveillance systems that are used to counter the threat of divers are usually based on active sonar, whose performance can be limited by reverberation in a harbour environment. Passive techniques are based on the detection of the sound emitted by the target. They are covert and yield information on the sound radiated by the detected source that can be used for classification. These advantages justify considering passive sonar as the basis for a waterside surveillance system, or as a supplement to a system based on active sonar. Experimental results illustrating some capabilities of passive techniques, such as the detection and tracking of divers and surface vessels using a network of passive nodes, are presented. The experiment was performed in collaboration with the Stevens Institute of Technology (NJ, USA). Possible uses of these techniques in either purely passive systems or to augment active systems are discussed.
Bordeaux

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Small ruminant production techniques

An abstract answers the following questions: • Why did you start? • What did you do? • What did you find? • What do your findings mean? The abstract usually comes at the beginning of the paper unless the journal states otherwise. Even though the content of the abstract reflects the paper, it is written to stand on its own. • It is an abbreviated, accurate representation of the contents of your paper, without added interpretation or criticism. It is usually not more than 250 words. • It should be informative and should present as much of the quantitative and/or qualitative information contained in your paper as possible. It reports the objective of the research, its scope, the methods used, the main results and the principal conclusions. • It uses short and simple sentences. Try to write the abstract as a single paragraph. If the abstract is long, you can split it into two or more paragraphs. Write it after you have completed the other sections of the paper. Things not to do in the abstract: • Do not include information that is not in the paper. • Do not include tables or diagrams. • Do not include citations.