Previous Experience Research Articles

Multi-Dimensional Data Analysis Platform (MuDAP): A Cognitive Science Data Toolbox

Researchers in cognitive science have long been interested in modeling human perception using statistical methods. This requires maneuvers because these multiple dimensional data are always intertwined with complex inner structures. The previous studies in cognitive sciences commonly applied principal component analysis (PCA) to truncate data dimensions when dealing with data with multiple dimensions. This is not necessarily because of its merit in terms of mathematical algorithm, but partly because it is easy to conduct with commonly accessible statistical software. On the other hand, dimension reduction might not be the best analysis when modeling data with no more than 20 dimensions. Using state-of-the-art techniques, researchers in various research disciplines (e.g., computer vision) classified data with more than hundreds of dimensions with neural networks and revealed the inner structure of the data. Therefore, it might be more sophisticated to process human perception data directly with neural networks. In this paper, we introduce the multi-dimensional data analysis platform (MuDAP), a powerful toolbox for data analysis in cognitive science. It utilizes artificial intelligence as well as network analysis, an analysis method that takes advantage of data symmetry. With the graphic user interface, a researcher, with or without previous experience, could analyze multiple dimensional data with great ease.

A generalisable tool path planning strategy for free-form sheet metal stamping through deep reinforcement and supervised learning

AbstractDue to the high cost of specially customised presses and dies and the advance of machine learning technology, there is some emerging research attempting free-form sheet metal stamping processes which use several common tools to produce products of various shapes. However, tool path planning strategies for the free forming process, such as reinforcement learning technique, derived from previous path planning experience are not generalisable for an arbitrary new sheet metal workpiece. Thus, in this paper, a generalisable tool path planning strategy is proposed for the first time to realise the tool path prediction for an arbitrary sheet metal part in 2-D space with no metal forming knowledge in prior, through deep reinforcement (implemented with 2 heuristics) and supervised learning technologies. Conferred by deep learning, the tool path planning process is corroborated to have self-learning characteristics. This method has been instantiated and verified by a successful application to a case study, of which the workpiece shape deformed by the predicted tool path has been compared with its target shape. The proposed method significantly improves the generalisation of tool path planning of free-form sheet metal stamping process, compared to strategies using pure reinforcement learning technologies. The successful instantiation of this method also implies the potential of the development of intelligent free-form sheet metal stamping process.

An Exploration of People Living with Parkinson's Experience of Cardio-Drumming; Parkinson's Beats: A Qualitative Phenomenological Study.

Research has shown that physical activity has a range of benefits for people living with Parkinson's (PLwP), improving muscle strength, balance, flexibility, and walking, as well as non-motor symptoms such as mood. Parkinson's Beats is a form of cardio-drumming, specifically adapted for PLwP, and requires no previous experience nor skills. Nineteen PLwP (aged between 55 and 80) took part in the regular Parkinson's Beats sessions in-person or online. Focus group discussions took place after twelve weeks to understand the impacts of Parkinson's Beats. Through the framework analysis, six themes and fifteen subthemes were generated. Participants reported a range of benefits of cardio-drumming, including improved fitness and movement, positive mood, the flow experience, and enhanced social wellbeing. A few barriers to participation were also reported. Future research is justified, and best practice guidelines are needed to inform healthcare professionals, PLwP and their care givers.

User experience and interface assessment for metaverse platforms on nurses and nursing students: A cross-sectional study

BackgroundThe metaverse, a rapidly evolving virtual environment, offers new opportunities for healthcare education. The effectiveness of the metaverse as a learning tool depends on user readiness and platform characteristics. AimThis study aimed to examine the current use of metaverse platforms among nurses and nursing students in South Korea and explore the relationship between user characteristics and their metaverse experience, focusing on presence, usability, and user experience. DesignThis was a cross-sectional descriptive study. SettingsRegistered nurses and nursing students from various healthcare settings and educational institutions in South Korea participated in this study. ParticipantsThis study included 428 participants, comprising 188 nurses and 240 nursing students. MethodsBetween September and November 2022, participants provided voluntary informed consent. The participants engaged with one of the following two metaverse platforms: ZEPETO (mobile-based) or Gather (screen-based). After four structured exploration phases, the participants completed online questionnaires. These surveys assessed general characteristics, metaverse self-efficacy, sense of presence, usability, and user experience. ResultsMost participants had previous experience with the metaverse and rated their metaverse self-efficacy at 3.60. Nurses scored higher than nursing students in terms of presence, usability, and user experience in the metaverse. Higher work self-efficacy in nurses and academic self-efficacy in nursing students were associated with more positive experiences in the metaverse. Nurses consistently rated higher across all subdomains of presence, usability, and user experience than nursing students. The type of metaverse platform also significantly influenced user experience. ConclusionsA significant proportion of Korean nurses and nursing students are familiar with the metaverse, reflecting a global trend towards virtual environments in education and healthcare. Although the metaverse holds promise for healthcare education, its effectiveness depends on user readiness, platform characteristics, and the development of a reliable, structured, and user-friendly educational programme.

Do Subjects from Different Occupational Groups Experience Dental Fear and Anxiety Equally?

Background and Objectives: Research into the relationship between occupation and dental fear and anxiety (DFA) is scarce. This exploratory study aimed to compare the level of DFA and its association with its predictors amongst adults from different occupational groups. Materials and Methods: A cross-sectional study with 422 respondents from four occupational groups (physicians, teachers, industry workers, and artists) was carried out. A questionnaire on previous dental experience using the Dental Anxiety Scale (DAS), Dental Fear Survey (DFS), and Self-Esteem Scale was self-administered electronically. The data analysis involved descriptive statistics and structural equation modeling (SEM). Results: The DFA levels differed significantly across the occupational groups, with the lowest mean scores among physicians (DAS = 9.29 (SE 0.39); DFS-1 = 14.67 (0.63); DFS-2 = 33.94 (1.69)) and the highest mean scores among artists (DAS = 10.74 (0.38); DFS-1 = 17.19 (0.71); DFS-2 = 41.34 (1.92)). A significant impact of self-esteem on DFA was observed among physicians, teachers, and artists, but not among industry workers. Multi-group analysis with SEM revealed differences in the variable association (Chi-squared = 53.75; df = 21; p < 0.001), thus rejecting the hypothesis of the same mechanism underlying DFA across occupational groups. Conclusions: Individuals from various occupations experience DFA at different levels, and there are different mechanisms underlying their DFA. These findings can provide valuable insights for dental practitioners in developing tailored approaches to reduce the feeling of DFA of their patients.

ENERGY EFFICIENCY OF A HYBRID ROAD TRAIN WITH AN ACTIVE SEMI-TRAILER FOR ROAD CONSTRUCTION WORK

The previous experience of creating experimental road trains with an active trailer and semi-trailer is analyzed against the background of modern technological capabilities of transport engineering and the logistical needs of modern construction. The expediency of implementing the concept of a road train with an active trailer based on modern electromechanical technologies is shown. The purpose of the study is to increase the energy efficiency of road trains used in construction for transporting long-length objects (beams, piles, bridge trusses, panels, etc.) by using an active trailer link with an electromechanical drive. The study solves the problem of modeling the movement of road trains with passive and active semi-trailers and comparing their energy efficiency and safety indicators. The methods of modeling the movement of cars and road trains, characteristic of the theory of movement of transport vehicles, approaches of theoretical mechanics and applications of differential calculus, applied numerical modeling in the SimuLink environment are used. A mathematical model has been obtained that allows calculating the energy efficiency of a road train when using passive (towed) and active semi-trailers. The cycle of the road train movement has been developed and tested for use in severe road conditions (construction with weak road infrastructure, forest complex, transportation of special cargo). The implementation of the computational model by means of the SimuLink software package is proposed. Based on the simulation results, conclusions are made on the energy efficiency and safety of road trains with an active trailer link with an electromechanical transmission.

A model fidelity check in cooperative learning research in physical education

ABSTRACT Background Fidelity is an essential component of research, theory and practice in pedagogical models in physical education [Hastie, P. A., and A. Casey. 2014. “Fidelity in Models-based Practice Research in Sport Pedagogy: A Guide for Future Investigations.” Journal of Teaching in Physical Education 33 (3): 422–431. https://doi.org/10.1123/jtpe.2013-0141]. Reporting fidelity data has been recognized as a way to know whether student learning outcomes can be attributed to the practical architectures of pedagogical models [Casey, A., and D. Kirk. 2020. Models-based in Physical Education. London: Routledge]. However, research that examines the effectiveness of pedagogical models rarely reports this valuable information about the authenticity of implementation [Casey, A., V. Goodyear, and B. Dyson. 2015. “Model Fidelity and Students’ Responses to an Authenticated Unit of Cooperative Learning.” Journal of Teaching in Physical Education 34 (4): 642–660. https://doi.org/10.1123/jtpe.2013-0227]. To date, no overall data have been published on how researchers reported fidelity data in cooperative learning literature in physical education. Therefore, it seems necessary to examine whether researchers have attended to fidelity to offer insights about the quality of the model delivery. Purpose To conduct a model fidelity check in cooperative learning research in physical education using checklists. Method First, a literature review was conducted to capture intervention studies focusing on cooperative learning in physical education. Second, a quality assessment was performed to obtain a global methodological score for the selected studies. Third, a model fidelity check was implemented to examine the quality of model delivery. Findings A total of 28 studies (11 qualitative, 13 quantitative, and 4 mixed methods) fulfilled the inclusion criteria and were selected. Regarding checklist-1, only 10 studies (35.7%) reported the complete information of all items. Most presented a rich description of the curricular elements of the unit (71.4%) and a detailed description of the program context (68.7%). Information concerning teacher expertise (60.7%) and students’ previous experience (46.4%) was the lowest reported. Data from the validation of model implementation was reported at 50% (14 studies). Regarding checklist-2, no study reported the assessment of all five components of fidelity of implementation. More than 90% reported information about program adherence to intervention components (model features, lesson plans, learning tasks and teacher/students’ behaviors) and duration. Less than 50% of the studies reported information related to program differentiation (41.1%), delivery quality (35.2%) and participant responsiveness (11.7%). Conclusion Model fidelity remains a prominent theme in cooperative learning research in physical education. Findings, at least as captured in this study, indicated a notable lack of attention to and reporting of model fidelity in this research area. It is highly recommended to report information on model fidelity to enhance its validity with trustworthy guidelines. Therefore, documenting meaningful information about model fidelity is required to bridge the gap between planning and delivery. Additional research is needed to gain a better understanding of how the model is delivered.

Investigating the neural basis of schematic false memories by examining schematic and lure pattern similarity

ABSTRACT Schemas allow us to make assumptions about the world based upon previous experiences and aid in memory organisation and retrieval. However, a reliance on schemas may also result in increased false memories to schematically related lures. Prior neuroimaging work has linked schematic processing in memory tasks to activity in prefrontal, visual, and temporal regions. Yet, it is unclear what type of processing in these regions underlies memory errors. The current study examined where schematic lures exhibit greater neural similarity to schematic targets, leading to this memory error, as compared to neural overlap with non-schematic lures, which, like schematic lures, are novel items at retrieval. Results showed that patterns of neural activity in ventromedial prefrontal cortex, medial frontal gyrus, middle temporal gyrus, hippocampus, and occipital cortices exhibited greater neural pattern similarity for schematic targets and schematic lures than between schematic lures and non-schematic lures. As such, results suggest that schematic membership, and not object history, may be more critical to the neural processes underlying memory retrieval in the context of a strong schema.

We've been here before: Reactions to the murder of George Floyd and subsequent protests for justice.

This study assessed differences in Black and White Americans' reactions to the murder of George Floyd and the presence of White Americans at the subsequent protests for justice. Black and White Americans (N = 290) took part in an online study in which they responded to questions regarding their reactions to the murder of George Floyd, the subsequent protests for justice, and critical knowledge (e.g., previous experiences with police and broad knowledge of Black history). Results of a preregistered study showed that Black (relative to White) Americans were more surprised by the extent of White participation in protests for justice. Also, Black Americans were more alarmed (i.e., emotionally jarred) by Floyd's murder. These differences in reactions were explained by Black (relative to White) Americans having more negative experiences with police brutality, both personally and among close others. This suggests that reactions to police brutality are experientially rooted, joining long-standing calls to center the lived experiences of Black Americans in psychological research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Using active learning strategies during a quality improvement collaborative: exploring educational games to enhance learning among healthcare professionals.

The Breakthrough Series model uses learning sessions (LS) to promote education, professional development and quality improvement (QI) in healthcare. Staff divergences regarding prior knowledge, previous experience, preferences and motivations make selecting which pedagogic strategies to use in LS a challenge. We aimed to assess new active-learning strategies: two educational games, a card game and an escape room-type game, for training in healthcare-associated infection prevention. This descriptive case study evaluated the performance of educational strategies during a Collaborative to reduce healthcare-associated infections in Brazilian intensive care units (ICUs). A post-intervention survey was voluntarily offered to all participants in LS activities. Seven regional 2-day LS were held between October and December 2022 (six for adult ICUs and one for paediatric/neonatal ICUs). Of 194 institutions participating in a nationwide QI initiative, 193 (99.4%) participated in these activities, totalling 850 healthcare professionals. From these, 641 participants responded to the survey (75.4%). The post-intervention survey showed that the participants responded positively to the educational activities. The participants perceived the various pedagogical strategies positively, which shows the value of a broad and diverse educational approach, customised to local settings and including game-based activities, to enhance learning among healthcare professionals.

Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities

Public deliberations are often a staple ingredient in community decision-making. However, traditional, time-constrained, in-person debates can become highly polarized, eroding trust in authorities, and leaving the community divided. This is the case in redistricting deliberations for public school zoning. Seeking alternative ways of support, we evaluated the potential introduction of an online platform that combines multiple streams of data, visualizes school attendance boundaries, and enables the manipulation of representations of land parcels. To capture multiple stakeholders' values about the potential to enhance public engagement in school rezoning decision-making through an online platform, we conducted interviews with 12 participants with previous experiences in traditional, in-person deliberations. Insights from the interviews highlight the several roles an online platform could take, especially as it provides alternative means of participation (online, synchronous, and asynchronous). Additionally, we discuss the potential for technology to increase the visibility and participation of multiple community actors in public deliberations and present implications for the design of future tools to support public decision-making.

Morphosyntactic prediction in automatic neural processing of spoken language: EEG evidence

Automatic parsing of syntactic information by the human brain is a well-established phenomenon, but its mechanisms remain poorly understood. Its best-known neurophysiological reflection is early left-anterior negativity (ELAN) component of event-related potentials (ERPs), with two alternative hypotheses for its origin: (1) error detection, or (2) morphosyntactic prediction/priming. To test these alternatives, we conducted two experiments using a non-attend passive design with visual distraction and recorded ERPs to spoken pronoun-verb phrases with/without agreement violations and the same critical verbs presented in isolation without preceding pronouns. The results revealed an ELAN at ∼130-220 ms for pronoun-verb gender agreement violations, confirming a high degree of automaticity in early morphosyntactic parsing. Critically, the strongest ELAN was elicited by verbs outside phrasal context, which suggests that the typical ELAN pattern is underpinned by a reduction of ERP amplitudes for felicitous combinations, reflecting syntactic priming/predictability between related words/morphemes (potentially mediated by associative links formed during previous linguistic experience) rather than specialised error-detection processes.

Tabelecleucel for EBV+ PTLD after allogeneic HCT or SOT in a multicenter expanded access protocol

AbstractPatients with Epstein-Barr virus (EBV)–positive posttransplant lymphoproliferative disease (EBV+ PTLD) in whom initial treatment fails have few options and historically low median overall survival (OS) of 0.7 months after allogeneic hematopoietic cell transplant (HCT) and 4.1 months after solid organ transplant (SOT). Tabelecleucel is an off-the-shelf, allogeneic EBV–specific cytotoxic T-lymphocyte immunotherapy for EBV+ PTLD. Previous single-center experience showed responses in patients with EBV+ PTLD after HCT or SOT. We now report outcomes from a multicenter expanded access protocol in HCT (n = 14) and SOT (n = 12) recipients treated with tabelecleucel for EBV+ PTLD that was relapsed/refractory (R/R) to rituximab with/without chemotherapy. The investigator-assessed objective response rate was 65.4% overall (including 38.5% with a complete and 26.9% with a partial response), 50.0% in HCT, and 83.3% in SOT. The estimated 1- and 2-year OS rates were both 70.0% (95% confidence interval [CI], 46.5-84.7) overall, both 61.5% (95% CI, 30.8-81.8) in HCT, and both 81.5% (95% CI, 43.5-95.1) in SOT (median follow-up: 8.2, 2.8, and 22.5 months, respectively). Patients responding to tabelecleucel had higher 1- and 2-year OS rates (94.1%) than nonresponders (0%). Treatment was well tolerated, with no reports of tumor flare, cytokine release syndrome, or rejection of marrow and SOT. Results demonstrate clinically meaningful outcomes across a broad population treated with tabelecleucel, indicating a potentially transformative and accessible treatment advance for R/R EBV+ PTLD after HCT or SOT. This trial was registered at www.ClinicalTrials.gov as #NCT02822495.

Loan Approval Prediction System Using Machina Learning

With the growth of the banking sector, the identification of reliable borrowers that must maintain the natural core income and asset accumulation becomes a key issue. Despite all security measures, reliability of customers remains an unclear question. To tackle this barrier, banking management which is directed towards customer loan repayment consistency is required. Credit approval is a significant aspect of economy since it determines the allocation of credit-linked funds. Today, machine learning is known for its power to automate and scale up the processing of application for loans. This project will begin with data collection which will consist of data on historical (regarding the past) loan applications and the borrower profiles. The dataset has features of the credit score, income, previous work experience, debt-to-income ratio, and loan repayment record. This way, the models learn through the strengths to find good features and the reasons for accepting a loan. They are the experts in these areas and can forecast the potential patterns and connections of the data. Within the scope of this work, the supervised algorithms used are logistic regression, decision trees, random forests, and support vector machines. These algorithms are applied to the dataset available to often produce results like binary classification and regression. The adoption of machine learning among financial institutions is intended for a faster processing of loans which is their benefit. What is credit scoring, it is a tool which automate manual loan application review thereby increases efficiency. The machine-learning algorithms that analyse applications for loans could cut down on the possibilities of human biases and mistakes which are an inherent part of the process. Also, ML uses the model to recognize borrowers who may default and subsequently lower the likelihood of default. Part of the task involve utilizing historical credit market data and implementing ML algorithms to develop a highly accurate and reliable loan approving system based on trained-data, random forests, the stream of loans and reliable clients.

Making The Future School: An Analysis of Teens' Collaborative Digital Fabrication Project

Maker culture emphasizes informal, networked, self- and peer-led learning, motivated by fun and self-fulfillment, and learning through mistakes. However, studies often describe activities involving a lot of guidance. As guidance may lead to both the process and outcomes influenced by those guiding the activity, it is also important to examine how projects evolve without the supporters' push. We take a nexus analytical approach to explore 1) how teens' background, interactions with others, and available materials and spaces are at play when they shape their ideas and outputs in a collaborative maker project with minimal support, and 2) how these factors can be considered to better support learning in such projects. The work carried out by five teens in a local FabLab was based on peer collaboration within changing apprentice mentor pairs. When they ideated and prototyped for a future school, researchers provided minimal support, mainly online. Without their push, teens quickly modified tasks which both guided and narrowed down their thinking. Their experiences from school environment and the FabLab space served as an inspiration as they designed solutions to overcome current problems in the current school setting or digital fabrication process. When making, they gravitated towards processes they had previous experience of or which they enjoyed, perhaps partly affected by the competing discourses of maker culture and expertise we observed to be present in the FabLab space. While building on existing skillsets, this may leave the potential of novel trajectories and expanding one's skills and competences unexplored. Teens' self-esteem improved as they turned from apprentices to mentors for their peers. This allowed them to process their learning from a different perspective. In general, our results paint a detailed picture of the roles of different participants in a maker project and provide an example of how familiar discourses of education persist in teens' designs. Looking at the project through the lens of Nexus analysis contributes to an increased understanding of the space for action and participants' histories, and interactions on the process, valuable for researchers studying DF and making, and practitioners working in makerspaces and FabLabs with different user groups. On a more practical level, our work contributes to a deeper understanding on how to include teens into non-guided and community-driven maker practices. We provide practical implications on how to support learning in collaborative making projects in informal learning situations, and regarding the role of the different actors and the environment in such situations. We also identify avenues for future research in this area.

It's Just a Distance Thing: Affordances and Decisions in Online Disclosure of Sexual Violence Victimization.

The Internet offers an alternative context in which personal experiences with sexual violence can be shared. It has been suggested that victims experience lower barriers to disclosing their stories in a digital environment due to an online disinhibition effect and mainly anonymity. However, little is known about the lived experiences of victims who have shared their experiences online regarding these disinhibiting affordances of the Internet. Twenty-three interviews with victims were conducted to understand the digital affordances involved in the online disclosure of sexual victimization. The results suggest that the Internet offers several opportunities (visibility management, asynchronicity, and connectivity) and constraints (lack of non-verbal communication, disclosing online is irreversible, and Internet as a source of triggers) when disclosing sexual violence victimization online. We learn that disclosures are informed by previous experiences and weighed against digital affordances. Victims use multiple platforms or multiple accounts on the same platform and manipulate anonymity and visibility through the settings of online platforms. The Internet offers a potential for informal online peer support. The results have practical implications for victims, clinicians, and support providers for guiding the disclosure process. Furthermore, a re-evaluation and nuance of the online disinhibition theory is suggested. Suggestions for future research are made.

Online therapy with families - what can families tell us about how to do this well? A qualitative study assessing families' experience of remote Dyadic Developmental Psychotherapy compared to face-to-face therapy.

Dyadic Developmental Psychotherapy (DDP) is a family-based therapy for adopted children aiming to achieve secure attachment between the child and parent. Due to restrictions under the COVID-19 pandemic, delivery of DDP transitioned from face-to-face to online methods. This study aimed to explore families experience of online DDP compared to face-to-face DDP, looking at the advantages and disadvantages of remote delivery methods and the implications this has on future service delivery for clinicians. Semi-structured interviews with 6 families were conducted online. Analysis of transcripts using Interpretative Phenomenological Analysis (IPA) revealed four superordinate themes: environment and child engagement, non-verbal communication, travel and familiarity with remote interactions. Parents recognised the influence the physical and online environment had on their child's engagement levels, however, varied in their experience and hence preference of delivery method. All families emphasised the importance of non-verbal communication within DDP sessions and majority highlighted this may be lost online. For families who travelled to face-to-face DDP, car journeys provided a unique opportunity to decompress and reflect after sessions. For families where travel is unfeasible, online DDP was a lifeline, demonstrating the ability of remote therapy to widen access to specialist healthcare. Familiarity with online work emerged as a strong indicator of positive attitudes towards remote DDP, especially if the previous experience is positive and the child is confident using technology. Overall, families differed greatly in their experience of remote and face-to-face DDP indicating a new approach must be undertaken with each family beginning therapy, ensuring it is unique and individual to their needs.

Eliciting the views of left breast cancer patients' receiving deep inspiration breath hold radiation therapy to inform the design of multimedia education and improve patient-centred care for prospective patients.

The currently accepted best practice radiation treatment for left breast cancer patients is Deep Inspiration Breath Hold (DIBH) where patients hold a deep breath to reduce late cardiac and pulmonary effects from treatment. DIBH can be challenging and induce or exacerbate anxiety in patients due to the perceived pressure to reduce radiation treatment side effects. This study explored the experiences of patients treated with Deep Inspiration Breath Hold Radiation Therapy (DIBH-RT) to improve patient-centred care and inform the design of multimedia educational tools for future patients undergoing DIBH. This descriptive qualitative study was underpinned by a social constructivist approach to create new educational and patient care approaches based on previous patients' experiences. Semi-structured interviews were conducted with patients who had completed DIBH-RT for breast cancer. Data was analysed with reflexive thematical analysis. Twenty-two patients were interviewed with five key themes identified: (1) informational needs, (2) care needs, (3) autonomy, (4) DIBH performance influencers and (5) other centredness. Recommendations were derived from these themes to improve future treatments of DIBH patients. These recommendations revolved around improvements to education, patient-centred care and strategies to improve self-efficacy with breath holding. Patients offer a wealth of knowledge regarding their lived experiences with treatment which can enhance future patients' experiences if incorporated into their education and care. Eliciting patients' views of their DIBH-RT treatment highlighted the need to improve patient self-efficacy with DIBH through familiarity with their planned treatment from new multimedia education, and foster patient care to enhance their experience.

Influenza vaccine uptake in juvenile idiopathic arthritis: a multi-centre cross-sectional study.

While most countries provide safe and effective influenza vaccines for at-risk groups, influenza vaccine coverage among children with rheumatic diseases remains uncertain. This study investigated influenza vaccination rates in children with juvenile idiopathic arthritis (JIA) during the 2019-2020 season and assessed the knowledge and attitudes of caregivers of children with JIA regarding influenza vaccination. The secondary aims were to identify barriers to vaccination and explore strategies to improve vaccination rates.A multi-centre, cross-sectional anonymous survey was conducted in 7 countries during the 2019-2020 influenza season to assess the uptake history of influenza vaccination.Among 287 participants, only 87 (30%) children with JIA received the influenza vaccine during the 2019-2020 season. Children who were more likely to be vaccinated were those with systemic juvenile idiopathic arthritis (sJIA), a history of previous vaccination and those aware of the vaccination recommendations. Conversely, children who previously experienced adverse vaccine-related events reported the lowest uptake. The primary reason for non-vaccination was lack of awareness about the necessity of influenza vaccination. Conclusion:Despite variations among countries, the uptake of influenza vaccines remains low in children with JIA. Improving awareness among families about the importance of influenza vaccination may increase vaccination rates in children with rheumatic diseases. What is Known: • Rheumatic children are at increased risk for influenza infection due to immunosuppressive therapy and immune dysregulation. • Influenza vaccine is formally recommended to children with rheumatic diseases. What is New: • This multicentre study showed that influenza vaccine uptake rates remain suboptimal among children with Juvenile Idiopathic Arthritis despite formal recommendations. • Factors like previous experience with vaccination and information provided by medical professionals via different waysplay essential roles in increasingvaccination rates andcan contribute to improved health outcomes for these vulnerable children.

Из историята на създаването в Полша на Съвременен българско-полски речник

The rapid development of the Bulgarian and Polish lexis after 2000 and the lack of up-to-date Bulgarian-Polish dictionaries at that time inspired Joanna Satoła-Staśkowiak and Violetta Koseska-Toszewa to embark on the compilation of a Bulgari-an-Polish dictionary that would reflect the trends and phenomena observed in the con-temporary language. In preparing the lexical material, the two researchers used electronic language corpora developed by teams of which they were a part. Drawing on their previous experience in comparative (including semantic) studies of Bulgarian and Polish, the authors focused on creating an entirely new dictionary based on an original methodology of lexicographic description. In the process of compiling the dictionary entries, various issues related to the differentiation of lexical units and their grammatical and semantic characteristics had to be solved. The first volume of the Contemporary Bulgarian-Polish Dictionary was published at the end of 2014. This is the second major Bulgarian-Polish dictionary to be printed in Poland. It comes 51 years after the publication of the first bilingual Bulgarian-Polish dictionary by Franciszek Sławski in 1963. The last edition of Sławski’s dictionary (co-authored by Sabina Radewa) titled A Supplemented Handy Bulgarian-Polish Dictionary was published in 1987, and much of the material in it is now outdated. The Contemporary Bulgarian-Polish Dictionary by J. Satoła-Staśkowiak and V. Koseska-Toszewa is intended for lecturers, Slavicists and students of Bulgarian or Polish as a foreign language, as well as for a wider readership interested in these languages. The article outlines the main qualities of this lexicographic work, discussing its history and methodological foundations and the approach adopted to the representation of contemporary vocabulary.