Assessment of Intellectual Functioning among Children with Neurodevelopmental Disorders: Challenges and Implications Beyond the Clinical Practice

Early and precise identification of neurodevelopmental disorders together with provision of adequate and timely interventions remain increasingly important tasks for multidisciplinary clinical teams. А central component in this process of comprehensive clinical evaluation is the assessment of children’s intellectual functioning. Intelligence test results represent a central component in the decision making process of determining a child’s future in terms of: qualification for special education, access to social welfare support, placement in therapeutic programs, etc. Clinical results yielded through the application of standardized intelligence assessment instruments (WISC, K-ABC, RPM), and especially the overall quantitative measure of cognitive ability (IQ) have become a central, and sometimes the only measure taken into consideration when determining a child’s level of functioning. Together with some distinct benefits, this practice places many children at risk of being underestimated and calls for revision and modification of standard assessment procedures. In line with these considerations, authors raise for discussion traditional approaches to diagnostics of intellectual functioning, highlighting some challenges, emerging from the constitutive particularities in the cognitive functioning of children with neurodevelopmental disorders. An attempt for identifying areas for further improvement alongside with research-informed recommendations for a contemporary, individualized and sensitive to the specifications of children with neurodevelopmental disorders assessment practice are outlined at the end of this paper. According to the authors’ opinion, exploration of the topic provides an important opportunity to advance the understanding of clinicians, primary healthcare professionals, educators and other professionals involved in supporting children with developmental deficits

Excellence Mapping: Bibliometric study of the productivity and the impact of scientific publications of the JRC: Mapping of scientific areas and application areas: Volume 2: Analysis of the JRC collaborations with world academic institutions

The present report is the second volume of the Joint Research Centre (JRC) excellence mapping. While the first volume concentrates on the productivity and the impact of the JRC scientific work, in terms of publications and citations, in general, the present volume analyses a particular subset of publications that have been jointly produced with scientists from other organisations. In particular, it analyses the co-authored publications between the JRC and the world academic institutions, which are highly ranked in different world university rankings. In the context of this analysis, three different rankings have been used (Times higher education ranking, QS world university ranking and Academic ranking of world universities) and the Top-100 academic institutions in each of them have been analysed in order to investigate: 1) the existence of formal agreements with the JRC; 2) number of co-authored publications with the JRC and 3) the scientific areas where the collaborations occur.JRC.A.2-Planning, Evaluation and Knowledge Managemen

Excellence mapping: Bibliometric study of the productivity and the impact of scientific publications of the JRC: Mapping of scientific areas and application areas: Volume 1: General analysis and benchmarking

This report analyses the productivity and the impact of the scientific work of the Joint Research Centre (JRC) in specific scientific areas by means of publications and citations analysis in order to identify and map areas of excellence. The excellence mapping is structured as two volumes: the first volume concentrates on benchmarking the scientific publications and the second one on aspects of scientific collaborations. In order to benchmark the JRC impact, five indicators based on citations and size-independent metrics are used. On the basis of these indicators, the JRC performance is compared with the Top-15 organisations in the world having the highest absolute number of citations in a given scientific area, and against the world average.JRC.A.2-Planning, Evaluation and Knowledge Managemen

Monitoring of the health status of Castanea sativa in the Belasitsa mountain, southwest Bulgaria

In the period 2017-2023, a survey for the assessment of the phytosanitary condition of sweet chestnut (Castanea sativa) was conducted in a permanent sample plot (PSP) Belasitsa, which is part of the European large-scale network for monitoring the health status of forest ecosystems under the International Co-operative Program ‘Forests’. The PSP is set in a natural chestnut stand in Belasitsa mountain at an altitude of 643 m. Data collected from the first years of the monitoring determined a slight deterioration in the health status of the chestnut trees caused by an infection with the fungal pathogen Cryphonectria parasitica. An improvement in trees’ vitality and lack of active necrosis were observed in 2022-2023. On the wounds, initiation of callus along the wounded edges was reported. Currently, the introduction of new and dangerous invasive insect pests Dryocosmus kuriphilus, Corythucha arcuata, etc., has not been detected. Attacks of both pests could further deteriorate the health status of the sweet chestnut in Belasitsa

RENEB accident simulation exercise

Purpose: The RENEB accident exercise was carried out in order to train the RENEB participants in coordinating and managing potentially large data sets that would be generated in case of a major radiological event. Materials and methods: Each participant was offered the possibility to activate the network by sending an alerting email about a simulated radiation emergency. The same participant had to collect, compile and report capacity, triage categorization and exposure scenario results obtained from all other participants. The exercise was performed over 27 weeks and involved the network consisting of 28 institutes: 21 RENEB members, four candidates and three non-RENEB partners. Results: The duration of a single exercise never exceeded 10 days, while the response from the assisting laboratories never came later than within half a day. During each week of the exercise, around 4500 samples were reported by all service laboratories (SL) to be examined and 54 scenarios were coherently estimated by all laboratories (the standard deviation from the mean of all SL answers for a given scenario category and a set of data was not larger than 3 patient codes). Conclusions: Each participant received training in both the role of a reference laboratory (activating the network) and of a service laboratory (responding to an activation request). The procedures in the case of radiological event were successfully established and tested

Multicentric Atrial Strain COmparison between Two Different Modalities: MASCOT HIT Study

Two methods are currently available for left atrial (LA) strain measurement by speckle tracking echocardiography, with two different reference timings for starting the analysis: QRS (QRS-LASr) and P wave (P-LASr). The aim of MASCOT HIT study was to define which of the two was more reproducible, more feasible, and less time consuming. In 26 expert centers, LA strain was analyzed by two different echocardiographers (young vs senior) in a blinded fashion. The study population included: healthy subjects, patients with arterial hypertension or aortic stenosis (LA pressure overload, group 2) and patients with mitral regurgitation or heart failure (LA volume–pressure overload, group 3). Difference between the inter-correlation coefficient (ICC) by the two echocardiographers using the two techniques, feasibility and analysis time of both methods were analyzed. A total of 938 subjects were included: 309 controls, 333 patients in group 2, and 296 patients in group 3. The ICC was comparable between QRS-LASr (0.93) and P-LASr (0.90). The young echocardiographers calculated QRS-LASr in 90% of cases, the expert ones in 95%. The feasibility of P-LASr was 85% by young echocardiographers and 88% by senior ones. QRS-LASr young median time was 110 s (interquartile range, IR, 78-149) vs senior 110 s (IR 78-155); for P-LASr, 120 s (IR 80-165) and 120 s (IR 90-161), respectively. LA strain was feasible in the majority of patients with similar reproducibility for both methods. QRS complex guaranteed a slightly higher feasibility and a lower time wasting compared to the use of P wave as the reference

Integration of new biological and physical retrospective dosimetry methods into EU emergency response plans : joint RENEB and EURADOS inter-laboratory comparisons

Purpose: RENEB, 'Realising the European Network of Biodosimetry and Physical Retrospective Dosimetry,' is a network for research and emergency response mutual assistance in biodosimetry within the EU. Within this extremely active network, a number of new dosimetry methods have recently been proposed or developed. There is a requirement to test and/or validate these candidate techniques and inter-comparison exercises are a well-established method for such validation. Materials and methods: The authors present details of inter-comparisons of four such new methods: dicentric chromosome analysis including telomere and centromere staining; the gene expression assay carried out in whole blood; Raman spectroscopy on blood lymphocytes, and detection of radiation induced thermoluminescent signals in glass screens taken from mobile phones. Results: In general the results show good agreement between the laboratories and methods within the expected levels of uncertainty, and thus demonstrate that there is a lot of potential for each of the candidate techniques. Conclusions: Further work is required before the new methods can be included within the suite of reliable dosimetry methods for use by RENEB partners and others in routine and emergency response scenarios

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey - an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.Measurement(s) psychological measurement center dot anxiety-related behavior trait center dot Stress center dot response to center dot Isolation center dot loneliness measurement center dot Emotional Distress Technology Type(s) Survey Factor Type(s) geographic location center dot language center dot age of participant center dot responses to the Coronavirus pandemic Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location global Machine-accessible metadata file describing the reported data:Peer reviewe

Stress and worry in the 2020 coronavirus pandemic : relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey

The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis.Peer reviewe