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FIG. 9 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 9. — Conditional inference tree presenting the five most important morphological variables separating species: CH, height of cup; CW, width of cup; PH, height of podetium; SW, width of podetium stalk. The order of the species at the end of the nodes is as follows: a, C. asahinae; c, C. chlorophaea; cr, C. cryptochlorophaea; g, C. grayi; m, C. merochlorophaea; n, C. novochlorophaea. Boxes represent the highest probability of a species occurrence on the tree node. A level of p <0.05 was considered for a significant difference.

FIG. 12 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 12. — Cladonia cryptochlorophaea Asahina: A, habit (BP[BP 48938]); B, spots of lichen secondary metabolites on chromatographic plates; C, distribution in Hungary. Abbreviations: c, cryptochlorophaeic acid; nR, norrangiformic acid; F, fumarprotocetraric acid; Z, zeorin; N, norstictic acid. Scale bar: A, 2 mm.

FIG. 7 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 7. — Width of podetium stalk (mm) in different species. Abbreviations: asa, C. asahinae (n = 22); chlo, C. chlorophaea (n = 55); cry, C. cryptochlorophaea (n = 53); gra, C. grayi (n = 17); mero, C. merochlorophaea (n = 70); novo, C. novochlorophaea (n = 10). The lines represent the minimum and maximum values, the box represents the 25% and 75% of the data, the thick line represents the median. Means with the same letter are not significantly different at 95% confidence.

FIG. 11 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 11. — Cladonia chlorophaea (FlÖrke ex Sommerf.) Spreng.: A, habit (BP[BP 49014]); B, spots of lichen secondary metabolites on chromatographic plates; C, distribution in Hungary. Abbreviations: F, fumarprotocetraric acid; Z, zeorin; N, norstictic acid. Scale bar: A, 2 mm.

FIG. 6 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 6. — Width of cup (mm) in different species. Abbreviations: asa, C. asahinae (n = 22); chlo, C. chlorophaea (n = 55); cry, C. cryptochlorophaea (n = 53); gra, C. grayi (n = 17); mero, C. merochlorophaea (n = 70); novo, C. novochlorophaea (n = 10). The lines represent the minimum and maximum values, the box represents the 25% and 75% of the data, the thick line represents the median. Means with the same letter are not significantly different at 95% confidence.

FIG. 10. — Cladonia asahinae J.W in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 10. — Cladonia asahinae J.W.Thomson: A, habit (BP[BP 9421]); B, spots of lichen secondary metabolites on chromatographic plates; C, distribution in Hungary. Abbrevations: R, rangiformic acid; nR, norrangiformic acid; F, fumarprotocetraric acid; Z, zeorin; N, norstictic acid. Scale bar: A, 2 mm.

FIG. 3 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 3. — Conditional inference tree presenting the presence of the three most abundant lichen secondary metabolites occurring in more than one species of the C. chlorophaea species group. A level of p <0.05 was considered for a significant difference. Abbreviations: cch, cryptochlorophaeic acid; ran, rangiformic acid; tha, thamnolic acid; a, C. asahinae; ch, C. chlorophaea; cr, C. cryptochlorophaea; g, C. grayi; me, C. merochlorophaea; no, C. novochlorophaea. Boxes represent the highest probability of a species occurrence on the tree node.

FIG. 4 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 4. — Height of podetia (mm) of the different species. Abbreviations: asa, C. asahinae (n = 22); chlo, C. chlorophaea (n = 55); cry, C. cryptochlorophaea (n = 53); gra, C. grayi (n = 17); mero, C. merochlorophaea (n = 70); novo, C. novochlorophaea (n = 10). The lines represent the minimum and maximum values, the box represents the 25% and 75% of the data, the thick line represents the median. Means with the same letter are not significantly different at 95% confidence.

APPENDIX 12 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands

APPENDIX 12. — Relationships of accumulative species number with accumulative sampling efforts for eight largest islands.

FIG. 2 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands

FIG. 2. — Relationships of species richness with number of habitat types, area, elevation, shape irregularity, vegetative cover, and ISW for five bryophyte categories in 168 forest fragments of the Thousand Island Lake, China. The regression equations are derived from GLMMs. Note: ISW, the relative proportion of water within a circle of a diameter of 1000 m centered on a given island.

opencc-by-4.0Nov 2020View details →

Towards an Assessment Rubric for EiPE Tasks in Secondary Education: Identifying Quality Indicators and Descriptors

This study reports on reseach to investigating indicators and descriptors which characterize the quality of students’ code explanations to EiPE (Explain in Plain English) tasks in secondary education.  First, a literature review was carried out to identify quality characteristics and descriptors that differentiate the quality of students’ responses in tertiary education. Then, the quality of upper-secondary students’ responses to a simple EiPE task was analyzed. The results of that analysis were used to refine our quality characteristics and descriptors, which were then translated into a prototypical rubric. In the final phase, the rubric was iteratively tested by two teachers and improved based on their feedback. The final rubric prototype can be used to provide feedback during formative assessment. This repository includes the EiPE comprehension task, the student responses, and the results from coding the responses: - StudentResponses.pdf: task and anonymized solutions provided by students, translated to English - Coding_data.xls: coding by two researchers until they came to an agreement (full set of 34 responses), and coding by Teacher1 on complete set, and coding by Teacher2 on the base-set (with duplicate responses omitted)

opencc-by-4.0Dec 2022View details →

Secondary data: Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes

This is the secondary data set and R-Code of R statistical software (version 4.2.1) to investigate the differences and commonalities in the existence of policies regarding person-centred dementia care (PCDC) measured with the Dementia Policy Questionnaire (DemPol-Q) in different care unit types in German nursing homes using a contingency table and Fisher’s exact test. The data from the secondary data analysis were collected in the “BeStaDem” Survey Study, funded by the German Research Foundation (DFG, project number: 430919791), and performed by Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., site Witten. This quantitative analysis is one part of the article “Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes – A Convergent Mixed Methods Study”.

opencc-by-4.0Jul 2023View details →

Can we collect health-related quality of life information from anticoagulated atrial fibrillation participants who have recently experienced a bleed? An observational feasibility study in primary, and secondary care and through an online forum

The purpose of the study was to evaluate the feasibility of recruiting participants diagnosed with atrial fibrillation (AF) taking oral anticoagulation therapies (OACs) and recently experiencing a bleed to collect health-related quality of life (HRQoL) information. Design Observational feasibility study.  The study aimed to determine the feasibility of recruiting participants with minor and major bleeds, the most appropriate route for recruitment and the appropriateness of the Patient Reported Outcome Measures (PROMs) selected for collecting  HRQoL information in AF patients, and the preferred format of the surveys. Setting Primary care, secondary care, and via an online patient forum. Participants The study population was adult patients (≥ 18) with Atrial Fibrillation (AF) taking oral anticoagulation therapies (OATs) who had experienced a recent major or minor bleed within the last four weeks. Primary and Secondary outcome measures Primary outcome: Patient reported outcome measures (PROMs): EuroQol 5 dimensions-5 levels (EQ-5D-5L); Perception of anticoagulant treatment questionnaire, part 2 only (PACT-Q, part 2); Atrial fibrillation effect on quality of life (AFEQT) Secondary outcomes: Location of bleed; bleed severity; current treatment; patient perceptions of HRQoLin relation to bleeding events. Results We received initial expressions of interest from 103 participants.  We subsequently recruited 32 participants to the study- 14 from primary care and 18 through the AF forum.  No participants were recruited through secondary care.  Despite 32 participants consenting, only 26 initial surveys were completed.  We received follow-up surveys from 11 participants (8 primary care and 3 AF forum).  COVID-19 had a major impact on the study.  Conclusions Primary care was the most successful route for recruitment. Most participants recruited to the study experienced a minor bleed.  Further ways to recruit in secondary care should be explored, especially to capture more serious bleeds.  Registration The study was adopted onto the NIHR Portfolio (I.D. #47771) and registered with www.ClinicalTrials.gov (#NCT04921176) in February 2021. Dataset contains all anonymised data for the participants who completed the survey including demographics, details of bleeds, co-morbidities and completed patient reported outcomes

Fig. 7 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)

Fig. 7 – Comparison of the sizes of foraging areas of polycalic colonies and supercolonies of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges: a, Crimea, b, – Rostov-on-Don, c, Tashkent.

Fig. 6 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)

Fig. 6 – Average values of the average size of the foraging areas of Crematogaster subdentata (a) and Lasius neglectus (b) in the primary and secondary ranges. C – Crimea, T – Tashkent, R – Rostov-on-Don.

Fig. 5 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)

Fig. 5 – Relation of tree and shrub species visited by Crematogaster subdentata (a, Crimea, b, Rostov-on-Don, c, Tashkent) and Lasius neglectus (d, – Crimea, e, – Rostov-on-Don, f, – Tashkent). Trees: Ac – Acer sp., Ah – Aesculus hippocastanum, Aj – Albizia julibrissin, Al – Ailanthus altissima, An – Acer negundo, Cl – Cedrus libani, Co – Cydonia oblonga, Cs – Cupressus sempervirens, Ea – Elaeagnus angustifolia, Fe – Fraxinus excelsior, Fr – Fraxinus sp., Gl – Gleditsia triacanta, Jr – Juglans regia, M – Morus sp., Md – Malus domestica, Mn – Morus nigra, Pa – Prunus americana, Pb - Pinus brutia, Pc – Prunus cerasus, Pd – Prunus domestica, Pi – Pinus pallasiana, Pp – Populus niger, Po – Populus alba, Pr – Prunus cerasifera, Ps – Prunus spinosa, Py - Populus pyramidalis, Ra – Robinia pseudoacacia, Sa – Salix sp., Sj – Styphnolobium japonicum, Tl – Tilia sp., Ul – Ulmus sp., Us – Ulmus laevis.

Fig. 1 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)

Fig. 1 – Distribution of Crematogaster subdentata and Lasius neglectus in Tashkent C. subdentata, polycalic colonies, C. subdentata, monocalic colonies, L. neglectus,> 20 nests per 100 m, L. neglectus, 10-20 nests per 100 m, L. neglectus, <10 nests per 100 m.

Fig. 2 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)

Fig. 2 – Scheme of the foraging areas of Lasius neglectus in Rostov-on-Don species; trees: Pc – Prunus cerasus, Ps – Prunus spinosa, Ul – Ulmus sp.

Fig. 4 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)

Fig. 4 – Scheme of the foraging areas of Crematogaster subdentata in Crimea (A) and Tashkent (B) large accessible nests of C. subdentata in buildings and outside; inaccessible nests of C. subdentata in buildings; trees: Co – Cydonia oblonga, Jr – Juglans regia, M – Morus sp., Md – Malus domestica, Mn – Morus nigra, Pa – Prunus americana, Pd – Prunus domestica.