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Absell-Federico-Tena World Trade Historical Database 1948-2020 : Myanmar
No full textProject 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: Myanma
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Czechia
No full textProject 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: Czechi
Características de los estudios de evaluación de programas grupales de educación parental. Una revisión de alcance
No full textSe ejecutó una revisión de alcance de las características de los estudios de evaluación de programas grupales de educación para progenitores con hijos de cero a dieciocho años, extraídos de ocho bases de datos, entre los años 2006 y 2019 y pertenecientes a revistas científicas.Metodología. Revisión de alcanceWe conducted a scoping review of the characteristics of evaluation studies of group-based parent education programmes for parents with children aged zero to eighteen years, extracted from eight databases, between 2006 and 2019, from scientific journals.Methodology. A scoping revie
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Namibia
No full textProject 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: Namibi
Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
No full textIn this project, a simple, cost-effective and scalable solution to improve the mechanical properties of poly(butylene succinate-co- butylene adipate) (PBSA) is reported by using functionalized single-walled carbon nanotubes (SWCNTs). Different SWCNT percentages w/w (0.15, 0.25, 0.5, 0.65, 0.75, 0.85 and 1.0) have been incorporated in the PBSA matrix via simple solution casting, and the ultrasonication conditions, namely amplitude (A) and time (t) have been optimized to attain a homogenous SWCNT dispersion. The nanocomposites have been characterized in detail by scanning electron microscopy (SEM), Infrared spectroscopy, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), tensile and impact strength tests. Unprecedented increments in stiffness, up to 114 % for the nanocomposite with 0.65 wt% content,were found. Further, four machine learning (ML) algorithms were applied to predict their mechanical properties and very good correlation was attained
Absell-Federico-Tena World Trade Historical Database 1948-2020 : El Salvador
No full textProject 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 Salvado
Development of a Green, Quick, and Efficient Method Based on Ultrasound-Assisted Extraction Followed by HPLC-DAD for the Analysis of Bioactive Glycoalkaloids in Potato Peel Waste
No full textα-Solanine and α-chaconine are the two most predominant glycoalkaloids (GAs) present in potato. Potato peel contains a high concentration of GAs, which are especially interesting for application in the pharmaceutical industry due to their different beneficial properties (such as anticarcinogenic, anti-inflammatory, antiallergic, antipyretic, antiviral, fungicide, and antibiotic activities, among others); so, potato peel waste can be valorized by extracting these biologically active compounds. For this, a green, quick, and efficient miniaturized analytical approach based on ultrasound-assisted extraction (UAE) combined with HPLC-DAD was developed to quantify α-solanine and α-chaconine in potato peel. Some parameters of the extraction were optimized, including the extraction method, the type of solvent, and the sample/solvent ratio, by a three-factor, three-level (33) full factorial experimental design. The optimal extraction conditions were obtained with UAE using methanol as a solvent and a sample/solvent ratio of 1:10 (w/v, g/mL). The analytical greenness metric for sample preparation (AGREEprep) tool was used to assess the greenness of the methods used. The tool revealed an acceptable green analysis, with 0.61 points. The method was validated and applied to the evaluation of GAs in the peel of 15 commercial varieties of potato. The amount of glycoalkaloids found in the samples evaluated ranged from 143 to 1273 mg/kg and from 117 to 1742 mg/kg dry weight for α-solanine and α-chaconine, respectively. These results reveal the important variability that exists between potato varieties; so, their analysis is of great importance to select the most suitable ones for biovalorization (e.g., the Amandine and Rudolph varieties, with around 3000 mg/kg, in total, of both GAs). To provide higher stability to the peel during storage, freeze-drying or a medium-temperature drying process resulted preferable to avoid GA degradation. Overall, this study will contribute to the expansion of the future biovalorization of potato peel waste as well as provide a powerful analytical tool for GA analysis
Teachers' ICT Practices Pre-Post COVID-19 questionnaire and answers
No full textStudy comparing the uses that primary and secondary education teachers make of digital technologies in their classrooms during and after the COVID 19 school lockdown.
The questionnaire was implemented during the lockdown and after the lockdown to identify the change in teaching practices using ICT. Development of personal and professional questions (gender, experience, educational level, primary and secondary curriculum subjects and previous ICT use) were applied.
The development of the questionnaire was compounded by the following dimensions:
Reproductive Verbal learning
Constructive Verbal learning
Reproductive Procedural learning
Constructive Procedural learning
Reproductive Attitudinal learning
Constructive Attitudinal learning
Reproductive Assessment
Constructive Assessment
Cooperation
The dataset includes data collected from 144 teachers.</p
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Bulgaria
No full textProject 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: Bulgari
Discriminación interseccional, estigma social y trauma emocional entre mujeres en situación sin hogar (DET-MSH)
No full textBase de datos anonimizada del proyecto “Discriminación interseccional, estigma social y trauma emocional entre mujeres en situación sin hogar (DET-MSH)