Resultados de investigación

Entrevista a Cândido Amável Monteiro Vieira y María de los Ángeles Risueño Almeida en Escarigo. Vino. Trigo, harina y molino., Vinho. Trigo, farinha e moinho., Wine. Wheat, flour and mill.

The work provides accurate values of the cross sections for the process of electron capture by protons in collisions with CO_2 molecules collision energies between 100 eV/u and 50 keV/u. This reaction occurs in the interaction of solar wind with planetary atmospheres. The calculation employs a semiclassical method with an expansion in terms of ab initio functions of the ion HCO_2^+, calculated along the ion trajectories. The cross sections have been averaged over the relative orientation of the target molecule and the ion trajectory to allow comparison with experimental data and the application in other fields. Excellent agreement is found between the calculated cross sections and the available experimental data.

Methodology:

The calculation employs the semi classical approximation with straight-line trajectories. The target nuclei remain in their equilibrium positions (Franck-Condon approximation). To describe the electronic motion a molecular expansion is employed in terms of the electronic wave functions of the HCO_2^+ ion.

Description of the dataset:

• The first column [E (keV/u)] is the collision energy in keV/u.
• The second column (xs1) is the partial cross section in Angstrom^2 for the formation of the electronic ground state (X^2\Pi_g) of the CO_2^+ ion in the electron capture process.
• The third column (xs2) is the partial oross section for the formation of the first excited electronic state (A^2\Pi_u) of the CO_2+ ion.
• The fourth column (xst) is the total electron capture cross section, obtained as the sum of the partial cross sections xs1 and xs2.

This dataset comprises indirect and direct measures of bodily movement, proprioceptive awareness, bodily and emotional feelings of 45 participants who executed a simple arm raise movement which was synchronized with various auditory stimuli changing pitch.

Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Poland

Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: El Salvador

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Bahamas

Pesca en el río Sever. Caza de la perdiz. El pardal y otros pájaros, Pesca no rio Sever. Caça à perdiz. O pardal e outros pássaros, Fishing in the river Sever. Hunting of the partridge. The sparrow and other birds

Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Malta

Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Poland

Description of the project This study explored a case of developmental dyslexia in secondary school in a four-year longitudinal follow-up. An intervention was carried out by collecting data from the participant’s school records, applying compensatory strategies, and implementing a dyslexia-specific programme. The theoretical framework was reviewed by analysing the main causative components of this disorder, namely phonological awareness, verbal short-term memory, and naming speed. Justification was given for the need to study individual cases and to conduct a longitudinal study. A dyslexia-specific programme was implemented, including objectives, evaluation indicators, content, activities, and examples of activities. The results showed progress in the student’s development in all affected areas (phonological awareness, verbal short-term memory, and naming speed), displaying overall progress in curricular areas (Spanish, mathematics, social sciences, English, and physical education). Appropriate interventions were shown to influence people with dyslexia, leading to the conclusion that interventions should be tailored as closely as possible to the individual characteristics of subjects. These findings are discussed based on the theoretical explanations of underlying deficits in dyslexia, as well as the need for and limitations of longitudinal studies., Description of the dataset

(1) Research materials.

Different instruments, the PROLEC-SE-R (Revised Secondary and Baccalaureate Reading Processes Assessment Battery) and PROLEXIA (Diagnosis and Early Detection of Dyslexia) were given to a secondary school student.The direct scores, the typical scores and the degree of difficulty of this student were obtained in each of the two Tests used.

Academic performance in curricular areas (Spanish, mathematics, history, English, and physical education) was also collected during four academic years.

(2)Data.

Data supporting this research are available in .csv format.

Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from PROLEC-SE-R and PROLEXIA.This Excel file was saved as PROLEC-SE-R and PROLEXIA data in .csv format.

In addition, Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from academic performance in curricular areas during four years. This Excel file was saved as Academic performance durin

(3)Analysis code.

This case study reports on the work carried out with a secondary school participant. There are not statistical analyses reported in the manuscript because it is a single participant (Case studies).

It is applicable to the raw data files described above.

, Methodology

1. Methodology (used to collect or generate data).

Different instruments, the PROLEC-SE-R (Revised Secondary and Baccalaureate Reading Processes Assessment Battery) and PROLEXIA (Diagnosis and Early Detection of Dyslexia) were given to a secondary school student.The direct scores, the typical scores and the degree of difficulty of this student were obtained in each of the two Tests used.

Academic performance in curricular areas (Spanish, mathematics, history, English, and physical education) was also collected during four academic years.

2. Software

Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from PROLEC-SE-R and PROLEXIA.This Excel file was saved as PROLEC-SE-R and PROLEXIA data in .csv format.

In addition, Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from academic performance in curricular areas during four years. This Excel file was saved as Academic performance during four years in .csv format.