TODDLER Project (2010-2013) Towards Opportunities for Disadvantaged and Diverse Learners on the Early-childhood Road. European Union, Lifelong Learning Programme, Comenius.

TODDLER Project, Lifelong Learning Programme created opportunities for knowledge transfer and exchange through focusing on the development of provisions for toddlers and investigations of different approaches promoting learning in a child-centred way. Module materials explored strategies and good practice of provision of high-quality education and care for disadvantaged toddlers. A framework created a report on ‘Toddler in Europe the Context’ on ECEC systems and approaches used to support diverse and disadvantaged toddlers. Then explored topic areas of ‘Language Support in Multicultural Settings’, Supporting Wellbeing’ and ‘Enhancing Parental Involvement’ with ‘Educating the Reflective Practitioner’ underpinning all of this. The module materials were successfully trialled and completed being made available on the TODDLER website as a Course Reader, Course Lecture Materials, and resources. KU led the Report and Case Studies: Promoting the Wellbeing of Toddler’s within the European Union creating an innovative pedagogical approach ‘Reflective Story Boards’ using a description of the context of the strategy followed by photos with explanations and supported with further description /explanation making visible to all stakeholders how educators promote wellbeing for toddlers. The final report highlighted the Reflective Story Boards contribution reaching the goal of showing the educational potential of high quality ECEC (Final Report, 2011)

Measurement of ϒ production in pp collisions at √s = 2.76 TeV

The production of ϒ(1S), ϒ(2S) and ϒ(3S) mesons decaying into the dimuon final state is studied with the LHCb detector using a data sample corresponding to an integrated luminosity of 3.3 pb−1 collected in proton–proton collisions at a centre-of-mass energy of √s = 2.76 TeV. The differential production cross-sections times dimuon branching fractions are measured as functions of the ϒ transverse momentum and rapidity, over the ranges pT < 15 GeV/c and 2.0 < y < 4.5. The total cross-sections in this kinematic region, assuming unpolarised production, are measured to be σ (pp → ϒ(1S)X) × B ϒ(1S)→μ+μ− = 1.111 ± 0.043 ± 0.044 nb, σ (pp → ϒ(2S)X) × B ϒ(2S)→μ+μ− = 0.264 ± 0.023 ± 0.011 nb, σ (pp → ϒ(3S)X) × B ϒ(3S)→μ+μ− = 0.159 ± 0.020 ± 0.007 nb, where the first uncertainty is statistical and the second systematic

Study of the doubly charmed tetraquark T+cc

Quantum chromodynamics, the theory of the strong force, describes interactions of coloured quarks and gluons and the formation of hadronic matter. Conventional hadronic matter consists of baryons and mesons made of three quarks and quark-antiquark pairs, respectively. Particles with an alternative quark content are known as exotic states. Here a study is reported of an exotic narrow state in the D0D0π+ mass spectrum just below the D*+D0 mass threshold produced in proton-proton collisions collected with the LHCb detector at the Large Hadron Collider. The state is consistent with the ground isoscalar T+cc tetraquark with a quark content of ccu⎯⎯⎯d⎯⎯⎯ and spin-parity quantum numbers JP = 1+. Study of the DD mass spectra disfavours interpretation of the resonance as the isovector state. The decay structure via intermediate off-shell D*+ mesons is consistent with the observed D0π+ mass distribution. To analyse the mass of the resonance and its coupling to the D*D system, a dedicated model is developed under the assumption of an isoscalar axial-vector T+cc state decaying to the D*D channel. Using this model, resonance parameters including the pole position, scattering length, effective range and compositeness are determined to reveal important information about the nature of the T+cc state. In addition, an unexpected dependence of the production rate on track multiplicity is observed

When being oneself is socially rewarded: Social identification qualifies the effect of authentic behavior at work

Is “be yourself” always the best advice? We suggest that interpersonal consequences of behaving authentically depend on the extent to which individuals identify with the social environment where they behave authentically. Bridging the research on authenticity, social identity, and conflict, we propose that for high identifiers, authentic behavior reveals how similar they are to others, thereby reducing dyadic relationship conflict. When social identification is low, behaving authentically increases the salience of how different the individual is from others, increasing relationship conflict. In a multi-source time-lag sample of professional work teams (Study 1), we found that authentic behavior indeed reduced relationship conflict and enhanced task performance for high identifiers, but had an inverse, detrimental effect for low identifiers. In a sample of student teams (Study 2), we only found an attenuating effect of authentic behavior on relationship conflict for high identifiers, and no effect for low identifiers. These results suggest that the advice “to be yourself” applies in educational contexts involving younger adults, but has to be prescribed with care in professional work contexts. Our findings emphasize the importance of social context for the consequences of authentic behavior, and call for more research on the contextual effects of authenticity

Comparison of two peroxidases with high potential for biotechnology applications - HRP vs. APEX2

Peroxidases are essential elements in many biotechnological applications. An especially interesting concept involves split enzymes, where the enzyme is separated into two smaller and inactive proteins that can dimerize into a fully active enzyme. Such split forms were developed for the horseradish peroxidase (HRP) and ascorbate peroxidase (APX) already. Both peroxidases have a high potential for biotechnology applications. In the present study, we performed biophysical comparisons of these two peroxidases and their split analogues. The active site availability is similar for all four structures. The split enzymes are comparable in stability with their native analogues, meaning that they can be used for further biotechnology applications. Also, the tertiary structures of the two peroxidases are similar. However, differences that might help in choosing one system over another for biotechnology applications were noticed. The main difference between the two systems is glycosylation which is not present in the case of APX/sAPEX2, while it has a high impact on the HRP/sHRP stability. Further differences are calcium ions and cysteine bridges that are present only in the case of HRP/sHRP. Finally, computational results identified sAPEX2 as the systems with the smallest structural variations during molecular dynamics simulations showing its dominant stability comparing to other simulated proteins. Taken all together, the sAPEX2 system has a high potential for biotechnological applications due to the lack of glycans and cysteines, as well as due to high stability

Predicting drug resistance related to ABC transporters using unsupervised Consensus Self-Organizing Maps

ATP binding cassette (ABC) transporters play a pivotal role in drug elimination, particularly on several types of cancer in which these proteins are overexpressed. Due to their promiscuous ligand recognition, building computational models for substrate classification is quite challenging. This study evaluates the use of modified Self-Organizing Maps (SOM) for predicting drug resistance associated with P-gp, MPR1 and BCRP activity. Herein, we present a novel multi-labelled unsupervised classification model which combines a new clustering algorithm with SOM. It significantly improves the accuracy of substrates classification, catching up with traditional supervised machine learning algorithms. Results can be applied to predict the pharmacological profile of new drug candidates during the drug development process.© The Author(s) 201

Data set of a scientific experiment involving polarisation measurements in Spain of electromagnetic waves refracted in the ionosphere (NVIS CIRC4).

This dataset is used for the publication of: Witvliet BA, Alsina-Pagès RM, Van Maanen E, Laanstra GJ. Design and validation of probes and sensors for the characterization of magneto-ionic radio wave propagation on Near Vertical Incidence Skywave paths. Sensors. 2019 Jun 9;19(11):2616.  </p

Data set of a scientific experiment involving polarisation measurements in Spain of electromagnetic waves refracted in the ionosphere (NVIS CIRC4).

This dataset is used for the publication of: Witvliet BA, Alsina-Pagès RM, Van Maanen E, Laanstra GJ. Design and validation of probes and sensors for the characterization of magneto-ionic radio wave propagation on Near Vertical Incidence Skywave paths. Sensors. 2019 Jun 9;19(11):2616.  </p

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts (version 2)

As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices