Development Opportunities of Emotional Intelligence with reflective strategies using video-based training

Background: Within nursing, Emotional intelligence (EI) means the ability of nurses or nursing students to understand not only their own feelings and reactions, but also, and more importantly, the feelings and reactions of the patients in their care. EI plays an important part in forming successful human relationships as a part of emotional labour. Emotional labour is important in establishing therapeutic nurse–patient relationships but carries the risk of ‘burnout’ if prolonged or intense. Objective/Purpose: The assessment of students' views and perceptions of video based training as an opportunity to develop emotional intelligence. Material and methods: Data about the video-based training in relation to EI were collected, after the completion of the reflection assignments, using semi-structured interviews and reflective sheets (ALACT model /acronym of the basic phases and steps/ - Action, Looking back on the action, Awareness of essential aspects, Creating alternative methods of action, Trial). The study included 46 students in total (post-graduate student Intensive care nurses) in two sequential academic years (2012/13 n = 15 and 2013/14 n = 31). The results showed that students in both cohorts considered video as an effective tool for carrying out self-evaluations and development of EI. The usefulness of video and peer-feedback for other reflection processes differed in students' view. Most students (80 %) appreciated the opportunity of viewing some unusual situations from clinical practice and appropriate ways of communicating. Some students (17 %) stated that they needed more time for similar teaching activities. Conclusion: 80 % of all the students considered video based training generally useful for all the reflection processes and improvement of EI; however they also indicated some limitations (i.e. time consuming teaching method). The study demonstrated that student-centric pedagogies and reflective activities on student learning showed more advanced development of self-evaluated EI

TOWARDS BETTER UNDERSTANDING EUROPEAN ICE AGE POLLEN RECORDS: A LESSON FROM MODERN POLLEN ASSEMBLAGES OBTAINED FROM YAKUTIAN LAKES

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SHAPE VARIATIONS OF GRASS PHYTOLITHS IN EURASIA: TOWARDS IMPROVED INTERPRETATION OF FOSSIL PHYTOLITH RECORD USING NEW METHODS OF GEOMETRIC MORPHOMETRY

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Distinct roles of SNARE-mimicking lipopeptides during initial steps of membrane fusion

NWOSupramolecular & Biomaterials Chemistr

The Shaqadud Archaeological Project (Sudan): exploring prehistoric cultural adaptations in the Sahelian hinterlands

The authors present preliminary results from a new research project based in Jebel Shaqadud, Sudan. Their findings highlight the potential for this region's archaeological record to expand our understanding of the adaptation strategies used by human groups in arid north-east African environments away from rivers and lakes during the Holocene. Furthermore, they present exceptionally early radiocarbon dates that push postglacial human occupation in the eastern Sahel back to the twelfth millennium BP

Standardizing the classification of skin tears: validity and reliability testing of the International Skin Tear Advisory Panel Classification System in 44 countries

Background: Skin tears are acute wounds that are frequently misdiagnosed and under‐reported. A standardized and globally adopted skin tear classification system with supporting evidence for diagnostic validity and reliability is required to allow assessment and reporting in a consistent way. Objectives:To measure the validity and reliability of the International Skin Tear Advisory Panel (ISTAP) Classification System internationally. Methods: A multicountry study was set up to validate the content of the ISTAP Classification System through expert consultation in a two‐round Delphi procedure involving 17 experts from 11 countries. An online survey including 24 skin tear photographs was conducted in a convenience sample of 1601 healthcare professionals from 44 countries to measure diagnostic accuracy, agreement, inter‐rater reliability and intrarater reliability of the instrument. Results:A definition for the concept of a ‘skin flap’ in the area of skin tears was developed and added to the initial ISTAP Classification System consisting of three skin tear types. The overall agreement with the reference standard was 0·79 [95% confidence interval (CI) 0·79–0·80] and sensitivity ranged from 0·74 (95% CI 0·73–0·75) to 0·88 (95% CI 0·87–0·88). The inter‐rater reliability was 0·57 (95% CI 0·57–0·57). The Cohen's Kappa measuring intrarater reliability was 0·74 (95% CI 0·73–0·75). Conclusions: The ISTAP Classification System is supported by evidence for validity and reliability. The ISTAP Classification System should be used for systematic assessment and reporting of skin tears in clinical practice and research globally.info:eu-repo/semantics/publishedVersio

A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises

The performance and the uncertainty of receptor models (RMs) were assessed in intercomparison exercises employing real-world and synthetic input datasets. To that end, the results obtained by different practitioners using ten different RMs were compared with a reference. In order to explain the differences in the performances and uncertainties of the different approaches, the apportioned mass, the number of sources, the chemical profiles, the contribution-to-species and the time trends of the sources were all evaluated using the methodology described in Belis et al. (2015). In this study, 87% of the 344 source contribution estimates (SCEs) reported by participants in 47 different source apportionment model results met the 50% standard uncertainty quality objective established for the performance test. In addition, 68% of the SCE uncertainties reported in the results were coherent with the analytical uncertainties in the input data. The most used models, EPA-PMF v.3, PMF2 and EPA-CMB 8.2, presented quite satisfactory performances in the estimation of SCEs while unconstrained models, that do not account for the uncertainty in the input data (e.g. APCS and FA-MLRA), showed below average performance. Sources with well-defined chemical profiles and seasonal time trends, that make appreciable contributions (>10%), were those better quantified by the models while those with contributions to the PM mass close to 1% represented a challenge. The results of the assessment indicate that RMs are capable of estimating the contribution of the major pollution source categories over a given time window with a level of accuracy that is in line with the needs of air quality management

Addressing challenges when applying GRADE to public health guidelines: a scoping review protocol and pilot analysis

This is a protocol for a scoping review that aims to determine how guideline authors using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach have addressed previously identified challenges related to public health. The Joanna Briggs Institute (JBI) methodology for scoping reviews will be followed. We will search and screen titles of guidelines for all languages published in 2013−2021 in: the GIN library, BIGG database, Epistemonikos GRADE guidelines repository, GRADEpro Database, MAGICapp, NICE and WHO websites. Two reviewers will independently screen full texts of the documents identified. The following information will be extracted: methods used for identifying different stakeholders and incorporating their perspectives; methods for identification and prioritization of non-health outcomes; methods for determining thresholds for decision-making; methods for incorporating and grading evidence from non-randomized studies; methods for addressing concerns with conditional recommendations in public health; methods for reaching consensus; additional methodological concerns; and any modifications made to GRADE. A combination of directed content analysis and descriptive statistics will be used for data analysis, and the findings presented narratively in a tabular and graphical form. In this protocol, we present the pilot results from 13 identified eligible guidelines issued between January and August 2021. We will publish the full review results when they become available