Methodological Choices For Research In Information Science: Contributions To Domain Analysis

The article focuses on the ways of organizing studies according to their methodological choices in the Base Referencial de Artigos de Periódicos em Ciência da Informação (Reference Database of Journal articles in Information Science). We highlight how the organization of scientific production by the methodological choices in Information Science contributes to the identification of its production features and domain analysis. We studied research categories and proposed five classification criteria: research purposes, approaches, focus, techniques and type of analysis. The proposal of a corpus in Information Science is empirically applied, represented by 689 articles, 10% of the production indexed in Base Referencial de Artigos de Periódicos em Ciência da Informação from 1972 to 2010. We adopt content analysis to interpret the methodological choices of authors identified in the corpus. The results point out that exploratory studies are more predominant when considering the research purpose; regarding the research approach, bibliographic and documentary studies are more predominant; systematic observation, questionnaire and interview were the most widely used techniques; document analysis and content analysis are the most widely used types of analysis; the research focus of theoretical, historical and bibliometric studies are more predominant. We found that some studies use two methodological choices and explicit epistemological approaches, such as the studies following the positivist approach in the 1970s, and those influenced by the phenomenological approach in the 1980s, which increased the use of methods in qualitative research.28151

Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models

Accurate determination of fuel properties of complex mixtures over a wide range of pressure and temperature conditions is essential to utilizing alternative fuels. The present work aims to construct cheap-to-compute machine learning (ML) models to act as closure equations for predicting the physical properties of alternative fuels. Those models can be trained using the database from MD simulations and/or experimental measurements in a data-fusion-fidelity approach. Here, Gaussian Process (GP) and probabilistic generative models are adopted. GP is a popular non-parametric Bayesian approach to build surrogate models mainly due to its capacity to handle the aleatory and epistemic uncertainties. Generative models have shown the ability of deep neural networks employed with the same intent. In this work, ML analysis is focused on two particular properties, the fuel density and diffusion, but it can also be extended to other physicochemical properties. This study explores the versatility of the ML models to handle multi-fidelity data. The results show that ML models can predict accurately the fuel properties of a wide range of pressure and temperature conditions.The research leading to these results had received funding from the Brazilian National Agency of Petroleum, Natural Gas and Biofuels (ANP) through Programa de Recursos Humanos (PRH) under the PRH 8 - Mechanical Engineering for the Efficient Use of Biofuels, grant agreement numbers F0A5.EDDE.B5C0.3BCB and 2B61.4F5C.A83B.A713.Peer ReviewedPostprint (published version

Phenomenology of the nMSSM from colliders to cosmology

Low energy supersymmetric models provide a solution to the hierarchy problem and also have the necessary ingredients to solve two of the most outstanding issues in cosmology: the origin of dark matter and baryonic matter. One of the most attractive features of this framework is that the relevant physical processes are related to interactions at the weak scale and therefore may be tested in collider experiments in the near future. This is true for the Minimal Supersymmetric Standard Model (MSSM) as well as for its extension with the addition of one singlet chiral superfield, the so-called nMSSM. It has been recently shown that within the nMSSM an elegant solution to both the problem of baryogenesis and dark matter may be found, that relies mostly on the mixing of the singlet sector with the Higgs sector of the theory. In this work we review the nMSSM model constraints from cosmology and present the associated collider phenomenology at the LHC and the ILC. We show that the ILC will efficiently probe the neutralino, chargino and Higgs sectors, allowing to confront cosmological observations with computations based on collider measurements. We also investigate the prospects for a direct detection of dark matter and the constraints imposed by the current bounds of the electron electric dipole moment in this model.Comment: 44 pp, 10 figures; Fig.9 replaced; discussion on CP violation extended and references added; few minor additions in text about details of the cut

Indirect search for dark matter: prospects for GLAST

Possible indirect detection of neutralino, through its gamma-ray annihilation product, by the forthcoming GLAST satellite from our galactic halo, M31, M87 and the dwarf galaxies Draco and Sagittarius is studied. Gamma-ray fluxes are evaluated for the two representative energy thresholds, 0.1 GeV and 1.0 GeV, at which the spatial resolution of GLAST varies considerably. Apart from dwarfs which are described either by a modified Plummer profile or by a tidally-truncated King profiles, fluxes are compared for halos with central cusps and cores. It is demonstrated that substructures, irrespective of their profiles, enhance the gamma-ray emission only marginally. The expected gamma-ray intensity above 1 GeV at high galactic latitudes is consistent with the residual emission derived from EGRET data if the density profile has a central core and the neutralino mass is less than 50 GeV, whereas for a central cusp only a substantial enhancement would explain the observations. From M31, the flux can be detected above 0.1 GeV and 1.0 GeV by GLAST only if the neutralino mass is below 300 GeV and if the density profile has a central cusp, case in which a significant boost in the gamma-ray emission is produced by the central black hole. For Sagittarius, the flux above 0.1 GeV is detectable by GLAST provided the neutralino mass is below 50 GeV. From M87 and Draco the fluxes are always below the sensitivity limit of GLAST.Comment: 14 Pages, 7 Figures, 3 Tables, version to appear on Physical Review

The recovery umbrella in the world of elite sport: Do not forget the coaching and performance staff

In the field of sports science, the recovery umbrella is a trending topic, and even more so in the world of elite sports. This is evidenced by the significant increase in scientific publications during the last 10 years as teams look to find a competitive edge. Recovery is recognized to be an integral component to assist athlete preparation in the restoration of physical and psychological function, and subsequently, performance in elite team sports athletes. However, the importance of recovery in team staff members (sports coaches and performance staff) in elite sports appears to be a forgotten element. Given the unrelenting intense nature of daily tasks and responsibilities of team staff members, the elite sports environment can predispose coaches to increased susceptibility to psycho-socio physiological fatigue burden, and negatively affect health, wellbeing, and performance. Therefore, the aim of this opinion was to (1) develop an educational recovery resource for team staff members, (2) identify organizational task-specific fatigue indicators and barriers to recovery and self-care in team staff members, and (3) present recovery implementation strategies to assist team staff members in meeting their organizational functions. It is essential that we do not forget the coaching and performance staff in the recovery process. © 2021 by the authors. Licensee MDPI, Basel, Switzerland

Efeitos das deficiências de alguns micronutrientes em dois cultivares (Santa Rosa e UFV-1) de soja (Glycine max (L.) Merill)

Two soybean varieties were grown in nutrient solution either in the presence on in the absence of B, Cu and Zn. Symptoms of deficiency were observed. Dry matter production and yield data were recorded. Leaf analyses were made in the end of the pod filling period (except in the case of the minus B treatment in which plants failed to produce grains). Main conclusions were the following: (1) lack of B in the substrate affected dry matter production more than the deficiencies of Cu and Zn; (2) Cu deficiency reduced growth and yield formation more than the lack of Zn; (3) symtoms of deficiency are in agreement with those already described; (4) variety UFV-1 seems more sensitive to the deficiency of micronutrients than Santa Rosa; (5) leaf levels of B and Zn indicative of adequate nutritional status seem to be different for the two varieties.Os cultivares de soja Santa Rosa e UFV-1 foram cultivados em solução nutritiva deficiente em B, Cu ou Zn. As plantas carentes em B não completaram o ciclo, enquanto as demais o fizeram. A carência de Cu afetou a produção de matéria seca e a de vagens mais que a falta de Zn. Quantitativamente, as deficiências induzidas afetaram a variedade UFV - 1 mais que a Santa Rosa