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Molecularly imprinted polymers: towards development of chemosensors for medical diagnostics and environmental monitoring
Get PDF<p>A plenary presentation was delivered at the XV Science Conference of the School of Science, Tallinn University of Technology, on November 29, 2023, in Tallinn, Estonia.</p>
Active Eco-system
Get PDF<p>This Deliverable D4.5 of Work Package 4 in the EuroTeQ project, describes how the project partners fare regarding fulfilling the aim of involving and getting input from engineering professionals from across industries, primarily by reaching out to the local ecosystems of each project partner, also called the local Advisory Boards (LABs). </p><p>One conclusion at this project stage is that it is a complicated exercise to identify and involve relevant engineering professionals from across industries to participate in our project activities. This ensures that the project receives the appropriate input for developing its project deliverables. </p><p>There is a need to test more different approaches to how to identify and recruit the right participants from across industries with the proper knowledge and background to inform our work, i.e., D4.7 (Approach and survey towards defining the main future competencies) and D4.9 (Overview of desired future competences prioritized and divided by sector). </p><p>The work of D4.4 has partly informed the success of this D4.5. (Mapping of collaborative methods between industry and university. Identifying best practices), where it was clear that the most effective and fruitful collaboration between universities and industries takes place where we manage to engage the ecosystem and stakeholders at the right level, with the relevant roles and with a precise aim for the interaction. </p><p>The LABs have proven less effective in being the avenues for identifying and recruiting engineer professionals to participate in project activities or processes than we initially thought. There might be a need to go over the participants in each partner's LABs and add or exchange representatives to contribute better to identifying professionals and companies to be involved in project activities in the next part of the project. Or even rethink the LAB composition and position in the overall university stakeholder relations. </p>
Supplementary material 1 from: Sildever S, Laas P, Kolesova N, Lips I, Lips U, Nagai S (2021) Plankton biodiversity and species co-occurrence based on environmental DNA – a multiple marker study. Metabarcoding and Metagenomics 5: e72371
No full text<p>Data type: images</p><p>Explanation note: <strong>Figure S1.</strong> Shepard diagrams for all the markers used for the NMDS analysis. <strong>Figure S2.</strong> Temperature and salinity in winter-spring (A, B) and summer-autumn (C, D) at various sampling locations. <strong>Figure S3.</strong> Overview of OTUs detected based on different markers in different higher taxonomic levels (18S, 28S_E, 28S_D: supergroups; 16S: phyla). Group "Others" in 16S consists of phyla containing < 10 OTUs. <strong>Figure S4.</strong> Number of unique and shared eukaryotic OTUs detected by three eukaryote-targeting markers: 18S, 28S_E, 28S_ D. <strong>Figure S5.</strong> Venn diagrams of OTUs detected from winter-spring (A) and summer-autumn (AP) stations. <strong>Figure S6.</strong> Relative sequence abundances of different phyla/group detected by 28S_E in different sampling months. TOP 5 most abundant phyla/groups are shown for each station and sampling occasion (X-axis). Y-axis displays the relative sequence abundances for each phyla/group. Sequences belonging to the phyla/group that did not belong to the TOP 5 phyla/group for the particular sampling occasion are displayed as "Others". <strong>Figure S7.</strong> Correlation among OTUs associated with common, dominant, or toxin-producing (bold) phytoplankton species (X-axis) and zooplankton species (microzooplankton species are marked with bold; Y-axis). Asterisks indicate statistically significant (p < 0.05) correlations after Benjamini-Hochberg correction. <strong>Figure S8.</strong> Correlation among OTUs associated with common, dominant, or toxin-producing (bold) phytoplankton species (X-axis) and bacteria (Y-axis). Asterisks indicate statistically significant (p < 0.05) correlations after Benjamini-Hochberg correction.</p><p> </p><p>This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.</p><p><br> </p>
Congruence and friction between teachers' intentions and students' perceptions of CBL courses (presentation)
No full text<p>The SEFI Annual Conference is a scientific conference focused on Engineering Education and the most significant event of this type in Europe. EuroTeQ joint research project about "Challenge-based learning in (virtual) lectures and courses" presented their work at the SEFI conference. </p>
Modern pollen–plant diversity relationships inform palaeoecological reconstructions of functional and phylogenetic diversity in calcareous fens
No full text<p>Blaus, Ansis et al. (2020), Modern pollen–plant diversity relationships inform palaeoecological reconstructions of functional and phylogenetic diversity in calcareous fens, Dryad, Dataset, <a href="https://doi.org/10.5061/dryad.wstqjq2hh">https://doi.org/10.5061/dryad.wstqjq2hh</a></p><p>Predicting the trajectory of ongoing diversity loss requires knowledge of historical development of community assemblages. Long-term data from paleoecological investigations combined with key biodiversity measures in ecology such as taxonomic richness, functional diversity (FD), phylogenetic diversity (PD) and environmental factors expressed as Ellenberg indicator values (EIVs) could provide that knowledge. We explored the modern pollen–plant (moss polster pollen vs. surrounding vegetation) diversity relationships for herbaceous and woody taxa in calcareous fens from two different regions in Estonia, NE Europe. Associations of taxonomic richness, vegetation composition, FD (including functional alpha diversity and trait composition), PD and EIVs in modern pollen vs. plant data were studied with correlation analysis, Procrustes analysis and linear regression models. To test their potential use in palaeoreconstructions, diversity measures were applied on pollen data from Kanna spring fen reflecting fen vegetation development over the last nine millennia and diversity changes through time were studied using generalized additive models. Results showed significant pollen–plant richness correlations for herbaceous taxa at vegetation estimate scales up to 6 m radius and Procrustes analysis showed significant compositional associations at all plant estimate scales (up to 100 m). Woody taxa had no significant pollen–plant richness correlations but composition relationships were significant at plant estimate scales of 6–100 m. Traits that were best reflected by pollen data (both in terms of trait composition and functional alpha diversity) among woody and herbaceous taxa were seed number, clonality, SLA and LDMC. PD of herbaceous species was reflected by pollen data. Among the EIVs, Ellenberg L and T were significantly reflected by pollen data for both woody and herbaceous communities. Palaeoreconstruction from Kanna fen indicates that trends of woody taxa are mostly related to long-term changes in climate while diversity variables of herbaceous taxa closely follow autogenic processes within the fen. We suggest that pollen-based diversity estimates should be calculated separately for woody and herbaceous taxa as they clearly represent different spatial scales. Present study suggests that linking sedimentary pollen data with FD, PD and EIVs provides possibilities to examine long-term trends in community assembly and ecosystem processes that would be undetectable from traditional pollen diagrams.</p><p><i>Study area: </i></p><p>Pollen and plant data were collected from 34 calcareous spring fens in Estonia. Of the 34 sites, seven open and seven forested sites are located in southern Estonia (South region), with ten open and eight forested sites located in Saaremaa Island (West region). The sites distributed between the two regions were located at least 2.5 km apart but the open and forested fens were sampled relatively close to each other (60 to 300 m apart).</p><p><i>Modern pollen data:</i></p><p>Moss polster samples (size of 5 cm in radius) were collected to determine the modern pollen assemblage from each of the fen sites (n=34). The moss samples consisted of a relatively wide range of species, most abundant being Calliergonella cuspidata, Plagiomnium ellipticum, Scorpidium cossonii, Campylium stellatum, Sphagnum subnitens. In the majority of sites, the mosses did not form tense tussocks but the structure was relatively loose. For pollen analysis, only the green (living) upper part of the mosses was collected. Moss sample collection was synchronized with vegetation inventories. All the sampling and preservation of moss polsters followed the Crackles Bequest Project protocol (Bunting et al., 2013). samples were treated with HCl and 10 % KOH followed by standard acetolysis method (Berglund and Ralska-Jasiewiczowa, 1986; Fægri and Iversen, 1989). Samples were examined under a light microscope at magnifications of 250, 400 and 1000x. Approximately 1000 terrestrial and aquatic pollen grains per moss polster and sediment pollen sample were aimed (min = 920; max = 1115). Detailed information on site vegetation type and geographical loaction is provided in data file.</p><p><i>Vegetation data:</i></p><p>Vegetation survey around each moss sample was carried out at the end of the flowering season during the second half of July and August (2017 and 2018). Survey timing and vegetation recording methodology followed Crackles Bequest Project protocol (Bunting et al., 2013), which is designed to produce vegetation abundance estimates in different distance classes in concentric areas around the pollen sample. Although vegetation mapping was conducted relatively late, only a few spring-flowering ephemerals (e.g., <i>Anemone</i>) might have been overlooked. At each site, vegetation was recorded within a 100 m radius around the moss sample (Figure 1). Within a 10 m radius, the vegetation was described in detail in five concentric areas at radii of 0.5 m, 1.5 m, 3 m, 6 m, and 10 m. In each 10 m area, twenty-one 1 × 1 m quadrats were systematically placed: one quadrat on top of the moss sample, four quadrats positioned at each cardinal direction at 1 m, 2.25 m and 4.5 m from the central moss polster, and eight quadrats at 8 m distance from the centre (Figure 1). In each 1 x 1 m quadrat, the percentage cover of all vascular plants was recorded. Additionally, species not occurring in the quadrats but within the circles were recorded. Between 10 – 100 m, vegetation types were mapped by using orthophoto maps (incl. infrared orthophoto maps) and field-work observations. The vegetation types were delimited keeping in mind the pollen perspective – for example, single trees and shrubs in open fen areas were mapped as separate entities because their role in pollen signal is potentially high (Bunting et al., 2013). Species composition of each vegetation type in 100 m radius was characterized in the field. For woody taxa, the percentage cover of each species was estimated. For herbaceous taxa, the Braun-Blanquet cover-abundance scale was used (Braun-Blanquet, 1964). The abundances were then translated to cover estimates within each vegetation type as follows: ± 0.01 %; 1 – 5 %; 2 – 10 %; 3 – 25 %; 4 – 50 %; 5 – 75 %.</p><h2> </h2><h4>Usage notes</h4><p>Data files under these names <strong>"Fen_modern_pollen_&_vegetation_data.xlsx"</strong> contain: 1) Modern pollen data (counts) from 34 spring fens. Study reagion South (Karula regioon) and West (Saaremaa Island), and site vegetation type open vs forested 2) geographical coordinates of site location. 3) Modern vegetation data collected from 34 spring fens in nine different scales (radii) of vegetation estimate.</p>
Enhanced Decision Mechanism for RAN Subslicing in Management Closed Control Loop
No full text<p>Presentation in the confierence FMEC 2023</p>
User research data for FinEst pilot project GreenTwins
No full text<p>This record contatins the data on user research in the framework of FinEst pilot project entitled <a href="https://www.finestcentre.eu/greentwins">GreenTwins</a> for (1) AvaLinn Smart City Planning Hub, (2) dynamic digital plant library (local tree models of different ages and LOD levels), (3) Urban Tempo (visualisation application), (4) Virtual Green Planner (co-planning application). The data is RESTRICTED access due to GDPR considerations.</p><p>User research process and results are described in the publication: Nummi, P, Prilenska, V, Grisakov, K, Fabritius, H, Ilves, L, Kangassalo, P, Staffans, A, & Tan, X 2022, 'Narrowing the Implementation Gap: User-Centered Design of New E-Planning Tools', International Journal of E-Planning Research (IJEPR), 11(1), pp. 1-22. doi: <a href="http://doi.org/10.4018/IJEPR.315804">http://doi.org/10.4018/IJEPR.315804</a> </p><p>The data atteched to this record contains:</p><p>README file with a brief description of user research process & list of workshops (participants per WS, methods, process & organization of teams, timeline).</p><p>ZIP files with workshop related data:</p><ul><li>WS1 & WS2: Online workshops for Helsinki and Tallinn: Summaries of user needs </li><li>WS3, WS4, WS5: VGP Online events for citizens: Summary of discussions, Analysis report </li><li>WS6: Hub workshop in Tallinn: Summary, Images from the WS </li><li>Developer interviews: Summaries </li><li>Prioritization workshop: Prioritization boards 1 and 2 </li><li>WS7: Tallinn Hub workshop: Documentation of the analysis session, Images from the WS </li><li>VGP user testing 1: Report of the feedback questionnaire, Images from the testing </li><li>Interviews with Tallinn city employees: Notes from the interview </li><li>WS8 and WS9: Expert elicitations in Helsinki and Tallinn: Questionnaire results from Helsinki and Tallinn, Presentation material in Helsinki WS, Images from the field visit </li><li>VGP user testing 2: Report</li></ul>
Lobbying for change
Get PDF<p>Innovative approaches in vocational education and training (VET) are essential for European lifelong and vocational learners. The EuroTeQ university alliance aims to integrate more vocational learners into innovative educational formats like the EuroTeQ Collider. Therefore, relevant stakeholders in vocational education (e.g., vocational schools, teachers, industry, and ministries) will be invited to an on-site event to discuss best practices and develop a strategy for including vocational learners in EuroTeQ. The events will be held in April or May 2023 in a workshop format to stimulate discussion between the experts. In a second step, the results will be discussed at a European level with persons responsible for vocational learning and the Collider within EuroTeQ. Thereby, the best-practise approaches and the strategies will be transferred into the project, and impact for EuroTeQ and vocational learners will be created.</p>
Thermodynamics-Based Modelling-Driven Discovery of Metabolic Strategies in Oleaginous Yeast Rhodotorula Toruloides
No full text<p>Poster presentation at the 15th Metabolic Engineering Conference on June 11-12, 2023, in Singapore.</p>