SDCS quantum mechanical flux formula revisited for electron-hydrogen ionization

Through a simple, classical, energy conservation analysis, we propose a fi-nite distance reinterpretation of the standard energy fraction definition used for the electron-hydrogen S wave ionization process. The energy modification is due to the fact that, at finite distances from the nucleus, the continuum electrons have to over-come the remaining potential energy to be completely free. As a consequence, the flux formula for extracting - at finite distances - single differential cross sections (SDCS) is also modified. Differently from the usual observations, the proposed corrections yield finite and well behaved SDCS values also at the asymmetrical situation where one of the continuum electrons carries all the energy while the other has zero energy. Re-sults of calculations performed at various impact energies, for both singlet and tripletsymmetry, are presented and compared favorably with benchmark theoretical data. Although we do not know how, we believe that finite distance effects should strongly affect the evaluation of the flux and consequently the SDCS, also in the full electron-hydrogen case.Fil: Ancarani, L. U.. Université de Lorraine; FranciaFil: Randazzo, Juan Martin. Comisión Nacional de Energí­a Atómica. Gerencia del Area Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Balseiro). División Colisiones Atómicas; Argentin

Value Added of Resistant Starch Maize-Based Matrices in Breadmaking: Nutritional and Functional Assessment

The ability of white (W) and yellow (Y) maize flour as basic ingredients to make nutritious and healthy breads meeting functional and sensory standards is investigated. Resistant starch (R) and common wheat flour (WF) were incorporated into formulations as single and associated extra ingredients, and dough machinability, bread nutritional and functional profiles, starch hydrolysis kinetics and keeping behaviour were assessed in blended maize matrices and compared with the maize and wheat flour counterparts. Simultaneous replacement of maize flour samples by R and WF at 40 % significantly modified textural profile, crumb grain features and firming kinetics, and free polyphenol pattern of breads thereof compared to the respective Y or W maize counterparts. Bigger specific volume (+28 % Y-R-WF, +36 % W-R-WF), softer crumb bread (−64 % Y-R-WF, W-R-WF), more aerated structure and homogeneous crumb grain, and lower and slower staling kinetics are observed in composite Y and W maize-based breads, respectively. Nutritional information on maize-based blended breads showed most appealing nutritional quality than WF breads, in terms of lower digestible starch (up to −21 % in Y-R-WF, W-R-WF, WR) and rapidly digestible starch (up to −37 % in W-R-WF), higher slowly digestible starch (up to three times in WR) and resistant starch contents (from five to six times in Y-R-WF, W-R-WF, W-R, Y-R) of medium-high sensorially rated bread matrices. All single and blended maize-based breads can be labelled as high-fibre breads (6 g dietary fibre (DF)/100 g food). According to health-related benefits and prebiotic dosage of resistant starch a daily intake of 100 g of single Y-R, W-R, W-R-WF and W-R-WF provides enough resistant starch to positively affect postprandial glucose and insulin levels, while 170 g covers the amount necessary to enhance health.The authors acknowledge the financial support of the Spanish Institutions Consejo Superior de Investigaciones Científicas (CSIC) and Ministerio de Economía y Competitividad (Project AGL2011-22669) for carrying out this research. The Interdepartamental Centre for Agri-Food Industrial Research (F. Balestra) and the Department of Food Science (D. Ancarani) at Alma Mater Studiorum of University of Bologna granted and funded stages performed at IATA-CSIC.Peer Reviewe

Argument Mining into Active Learning Systematic Reviews: unlocking the synergy between MARGOT and ASReview

Active learning enhances the systematic review process by effectively screening a large amount of titles and abstracts, using machine learning in combination with human expertise. However, the intricacy of full-text (traditional) abstracts can lead to issues, such as token restrictions and longer processing time. In light of these challenges, this thesis harnesses the capabilities of argument mining to distill salient information from abstracts in order to refine the screening process. Therefore, I propose the integration between ASReview LAB, an active learning tool for systematic reviews, and MARGOT, an argumentation mining software. This suggested approach leverages the power of computational argumentation, illustrating its significant value in literature processing. On this basis, I conducted an experiment based on various benchmark data, employing machine learning techniques to extract features from both traditional and Argument Mined abstracts. These features informed subsequent classification models. Next, I test the consistency of the experiment and conduct a quantitative and qualitative analysis spotlighting the benefits of Argument Mined abstracts. Results indicate marginal differences between traditional and Argument Mined abstracts. Yet, in different scenarios, Argument Mined abstracts elevate the overall quality of the systematic reviews. Furthermore, the efficiency of machine learning models depends heavily on the intrinsic attributes of the data they process

Social desirability in virtual communities

As virtual worlds and social media in general become important settings for marketing actions, we need to know what is the weight of social norms within such contexts. To what degree can a researcher expect that the answers obtained within a virtual world \u2013 ultimately a social network \u2013 reflect real opinions and are not inflated by social desirability? Does the social context of an online community induce higher social desirability? This paper investigates whether social desirability is stronger within virtual world online communities than in the real world, observing same structural relationship among measured constructs but higher social desirability tendency in the virtual world compared to the real life. Since social networks and online communities will be more often used as research and communication platforms, increased attention needs to be paid to the social desirability tendency of the community members

Generalized Sturmian Functions in prolate spheroidal coordinates

With the aim of describing bound and continuum states for diatomic molecules, we develop and implement a spectral method that makes use of Generalized Sturmian Functions (GSF) in prolate spheroidal coordinates. In order to master all computational issues, we apply here the method to one--electron molecular ions and compare it with benchmark data for both ground and excited states. We actually propose two different computational schemes to solve the two coupled differential equations. The first one is an iterative 1d procedure in which one solves alternately the angular and the radial equations, the latter yielding the state energy. The second, named direct $2d$ method, consists in representing the Hamiltonian matrix in a two--dimensional GSF basis set, and its further diagonalization. Both spectral schemes are timewise computationally efficient since the basis elements are such that no derivatives have to be calculated numerically. Moreover, very accurate results are obtained with minimal basis sets. This is related on one side to the use of the natural coordinate system and, on the other, to the intrinsic good property of all GSF basis elements that are constructed as to obey appropriate physical boundary conditions. The present implementation for bound states paves the way for the study of continuum states involved in ionization of one or two--electron diatomic targets

: General Electric's Research Approach and Findings

Accepted in California Management Review. Soon available in JSTORInternational audienceIn 2010, General Electric launched an investigation into how multi-national corporations (MNCs) were adapting to rural emerging markets. A team of 33 executives and three academics examined models ranging from Toyota's vehicle servicing program in East Africa to Nokia's localized mobile handset financing in India to Egis Pharmaceuticals' worker retention incentives in Eastern Europe. The project included 15 case studies from India, China, Africa and Eastern Europe. This article presents common tactics that these MNCs have used to successfully adapt to rural markets in emerging regions across five key organizational functions: product development, distribution, service, financing, and human resources