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Quantifying non-Gaussian diffusion in transient microscopy using excess kurtosis
No full textCoprehensible analysis of anomalous diffusion in transient microscopy. We introduce the parameter of kurtosis to quantify deviations from a Gaussian shape of the exciton distribution. As a case example we emply transient scattering microscopy (TScM, or stroboSCAT) in bulk tungesten diselenide (WSe2) revealing that exciton populations drastically deviate from pure Gaussian diffusion. Numerical simulations suggest that the origin for these deviations arise from the coexistance of multiple populations at short times, while after a few ns the crucial factor become trap states.
The full dataset consists of three complimentary datasets:
1. Power dependent measurements. TScM measured at different injected carrier densities.
2. Repetition rate dependent measurements. TScM measured at different laser repetition rates, keeping fluence unalttered.
3. Results from numerical simulations.
All the data is collected in the same WSe2 flake. The data acquisition was done using custom python code and the analysis is performed using custom python code which can be found in GitHub. https://github.com/EaRodriguez3/TM_kurtosis
For more information about the dataset and the techniques consult the related publication (to be added at a later date) or contact us. </p
Dataset on the Impact of Programming Platforms with Simulated Robotics on Computational Thinking and Gender Analysis in Secondary Education
No full textThis dataset was collected during a quasi-experimental study involving 161 secondary school students (aged 14) from Madrid, Spain. The objective was to evaluate the impact of three programming environments—Scratch (2D), Scratch with Kibotics (3D robotics simulation), and Python with Kibotics—on the development of Computational Thinking (CT) skills. The data includes pre-test and post-test scores based on a validated CT assessment instrument, as well as programming exam scores and item-level data related to CT subskills (loops, conditionals, functions, etc.). Gender, platform, and programming language are also included as independent variables for analysis. The study also explores the effect of these tools on reducing gender gaps in CT education.
The dataset is anonymized and includes both raw scores and normalized results (0–10 scale). It can be used to reproduce the statistical analysis of the study, to conduct further research in STEM education, or to test machine learning models for educational data mining
Spanish news items on Syrian migration containing water metaphors
No full text300 news items (150 from EL País and 150 from ABC) referring to Syrian migration in 2015 and 2016 containing water metaphor
Comparing the Portrayal of the fall of the Berlin wall in two Spanish newspapers: a multimodal analysis.
No full textThe fall of the Berlin Wall has generated emotions and social passions all over the world, not only in Germany but also in Spain. The entire communist world, and not only the new state of the German Democratic Republic (GDR), was at stake. This chapter is concerned with the application of the notion of genre to Spanish newspapers, which dealt with the fall from 1989 onwards. These newspapers combine texts, layout and images to convey meaning of this socially significant activity. We are interested in the analysis on newspaper front pages. Front pages act as “show windows” of their respective newspapers to establish the individuality of its newspaper ((Bateman, John, Delin, Judy, & Henschel, Renate, New Directions in the Analysis of Multimodal Discourse. Lawrence Erlbaum Associates, New Jersey, 2007): 148). We take the case of two Spanish newspapers of opposing ideologies: El País (leaning towards Europeanism, progressivism and social liberalism) and the newspaper ABC (known for generally supporting conservative political views). In doing this, we pay attention to the following multimodal features: (1) the layout structure: the nature, appearance and position of communicative elements (text, headlines, photos) on the page, the hierarchical relationship, along with the content-related structure of the information communicated about the fall of the Berlin Wall; (2) the rhetorical structure and how the content is strategically argued. We draw on the theory of pragma-dialectics and use its notion of strategic manoeuvring to trace and contrast the rhetorical fabric of the data. The findings of this case study may be of interest to researchers of revolutions and the media, multimodality and rhetorical discourse analysis
Multicationic ruthenium phthalocyanines as photosensitizers for photodynamic inactivation of multiresistant microbes [raw data]
No full textFour photosensitizers PS1a-PS4a consisting in multicationic ruthenium(II) phthalocyanines (RuPcs) have been evaluated in photodynamic inactivation (PDI) of multiresistant microorganisms. The RuPcs, bearing from 4 to 12 terminal ammonium salts, have been designed to target the microorganisms cytoplasmic cell membrane and display high singlet oxygen quantum yields. In addition, PS3a and PS4a were conceived to exhibit multi-target localization by endowing them with amphiphilic character, using two different structural approaches. Under low light regimes, the two hydrophilic PS1a and PS2a, as well as the amphiphilic PS3a show much stronger response
against Gram-positive MRSA than that observed for the typical phthalocyanines designed for PDI, namely zinc(II) and palladium(II) complexes, as well as free-base Pcs. Besides, PS1a, PS2a and PS3a show remarkably high activity against the Gram-negative E. coli, although weak fungicidal character against fluconazole-resistant C. albicans.
Contrasting, the structurally different, amphiphilic PS4a shows only slight activity for Grampositive bacteria, despite its ability to cross cell membrane and reach internal organelles. Still, PS4a shows a positive synergistic effect against MRSA when combined with doxycycline, exhibiting an increased activity from about 1.5 to about 4.9 log reduction under the light dose of 30 J/cm2 and the 0.125 mg/L subinhibitory dose of doxycycline.
Description of the dataset: Structural and photophysical characterization of compounds.</p
Tuneable Zinc Scorpionates for CO2 Fixation into Sustainable Materials: Access to Polycarbonates and Tailored Hybrid Poly(L-lactide)s-b-Polycarbonates
No full textThe production of novel industrially demanded materials mediated by metal-based catalysts under greener and more eco-friendly conditions is a current challenge to aim. This is even more attractive when these materials are capable to uptake different levels of CO2 and show improved properties.
In this contribution we describe the use of inexpensive, low-toxicity and robust mononuclear alkyl zinc complexes of the type [ZnMe(κ3-NNN’)] (4–6), supported by sterically demanding scorpionate ligands, as catalysts for the selective Ring-Opening Co-Polymerization of cyclohexene oxide and CO2. The presence of different electron-withdrawing groups in the scorpionates play a key role in catalysts selectivity. Thus, these species can act efficiently in the absence of co-catalyst to afford poly(cyclohexene carbonate) (PCHC) materials with narrow dispersity values, under mild and solvent-free conditions.
Very interestingly, only complex [ZnMe(κ3-phbptamd)] 4 also exhibited high efficiency as one-component catalyst for the preparation of the terpolymer poly(L-lactide)-b-poly(cyclohexene carbonate) (PLA-b-PCHC) in the form of hybrid diblock materials via a single-feed procedure, in different ratios and under similar conditions. The lower Lewis acidity of catalyst 4 favors the complete ROP of L-LA as the first step in the terpolymerization process, followed by the ROCoP of CHO and CO2. The level of CO2 incorporation in these materials can be easily modulated by simply modifying cyclohexene oxide feed, resulting in hybrid materials with different thermal properties.
Assessment by Thermogravimetric Analysis and Differential Scanning Calorimetry revealed both that these terpolymers showed to be stable up to 240 °C, due to the higher PCHC content, and that the glass transition temperatures (Tg) for these PLA-b-PCHC hybrids exhibit a single value, approximately 60 °C, corresponding to the lactide portion of the hybrid polymer 12.This dataset contains relevant catalytic data from the literature on zinc-based catalysts active in the ring-opening copolymerization (ROCOP) of CO₂ and cyclohexene oxide (CHO), as well as the terpolymerization of CO₂, CHO, and lactide (LA). Key polymerization parameters are included, such as reaction time, pressure, temperature, turnover frequency (TOF), selectivity, and monomer-to-catalyst ratios.
In addition to the literature data, the dataset also includes results from the polymerization experiments described in the accompanying manuscript. This includes a table summarizing the screening of various synthesized catalysts used for the production of poly(cyclohexene carbonate) (PCHC), along with additional tables showing the influence of temperature, pressure, and reaction time on the polymerization outcomes.
Furthermore, data related to the synthesis of PCHC and PLA copolymers are provided. The dataset includes the initial catalyst screening, followed by detailed results from the optimization of monomer molar ratios using the most active catalyst identified
Bioethanol steam reforming for hydrogen production over Ni‑Cr/SBA 15: Influence of metal loading and Ni/Cr ratio
No full textThis work examines the influence of metal loading and Ni/Cr ratio of Ni-Cr/SBA-15 catalysts on bioethanol steam reforming for the first time. The characterization of the synthesized samples reveals that higher Cr amounts results in lower Ni crystallite sizes due to the promoting effect of Cr, thereby enhancing the dispersion of the active phase. The catalytic performance has been evaluated in terms of ethanol conversion and H2 TOF (min-1). Ethanol conversion exhibits an increasing trend with higher Ni content, reaching up to 90% for samples containing 15 wt.%. By increasing the Cr content (lower Ni/Cr ratio) the results evidence a similar trend. A synergistic effect between Ni and Cr was appreciated in conversion values when the Ni content was below 11 wt.% and the Cr content exceeded 2 wt.%, which coincides with smaller Ni crystallite size. Concern-ing the H2 TOF, the catalyst with the lowest Ni content (7 wt.%) exhibits higher value with a notable enhancement upon increasing Cr loading. However, considerable de-crease of H2 TOF was observed for samples with higher Ni loading. Therefore, the best catalytic performance, achieving nearly complete ethanol conversion and high hydro-gen production was reached when using catalysts with 7 wt.% Ni, the Cr loading should be increased to around 2 wt.%
Datos de réplica para: "About us section and polarized discourse in engineering websites"
No full textPresentación sobre el análisis de páginas web de empresas de ingeniería internacionales en la sección "About us
Innovative Stent Test Specimen by Additive Manufacturing for Reliable Mechanical Testing and Simulation
No full textThis project focuses on developing a reliable, 3D-printed test specimen that replicates the mechanical behavior of biodegradable metallic stents. By combining additive manufacturing, mechanical testing, and finite element simulations, the goal is to create a standardized and cost-effective method to evaluate stent materials and designs, improving the development process for cardiovascular implants.
Methodology:
Design novel test specimen and fabricated using additive manufacturing (AM) techniques. Tensile tests were conduced on the printed samples and in parallel, developed finite element (FE) models to simulate the mechanical respons
Sample of institutional posters and protest banners against gender violence
No full textThis project's main objective is to analyze the multimodal strategies of polarization in political discourse. The methods and analytical tools of Sociocognitive Linguistics (SCL) and Critical Discourse Analysis (CDA) are used in order to understand the relationship between language, cognition, and social practices in the construction of polarization.
The dataset includes 280 posters collected from 2005 to 2023 against gender violence and 60 feminist protest banners 2017-2020.
100 posters collected from 2022 to 2023 are used to analyse anti-gender violence institutional posters as polarizing narratives using critical and socio-cognitive tools.
180 posters collected from 2005 to 2022 are analyzed to study the diachronic evolution of the socio-cognitive frames identified in the data.
60 feminist protest banners collected from Spanish feminist rallies to study multimodal discursive strategies of the slogans.</p