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In order processing, consecutive sequences (e.g., 1-2-3) are generally processed faster than nonconsecutive sequences (e.g., 1-3-5) (also referred to as the reverse distance effect). A common explanation for this effect is that order processing operates via a memory-based associative mechanism whereby consecutive sequences are processed faster because they are more familiar and thus more easily retrieved from memory. Conflicting with this proposal, however, is the finding that this effect is often absent. A possible explanation for these absences is that familiarity may vary both within and across sequence types; therefore, not all consecutive sequences are necessarily more familiar than all nonconsecutive sequences. Accordingly, under this familiarity perspective, familiar sequences should always be processed faster than unfamiliar sequences, but consecutive sequences may not always be processed faster than nonconsecutive sequences. To test this hypothesis in an adult population, we used a comparative judgment approach to measure familiarity at the individual sequence level. Using this measure, we found that although not all participants showed a reverse distance effect, all participants displayed a familiarity effect. Notably, this familiarity effect appeared stronger than the reverse distance effect at both the group and individual level; thus, suggesting the reverse distance effect may be better conceptualized as a specific instance of a more general familiarity effect.

Background: During the COVID-19 pandemic, Ireland implemented a series of stringent public health measures, including lockdowns and suspension of non-urgent clinical services. Aims: To investigate the impact of the COVID-19 pandemic on the demand for and delivery of speech and language therapy (SLT) services in Ireland in 2020. Methods & Procedures: Two iterations of a cross-sectional, mixed-methods online survey were distributed to speech and language therapists (SLTs) and SLT students in Ireland in the spring and autumn of 2020 using a combination of purposive and snowball sampling. The spring survey yielded 407 responses (including 14 from SLT students), while 197 respondents took part in the autumn (13 students). Survey analysis focused on questions related to the impact of the COVID-19 pandemic on delivery and demand for SLT services (student responses were excluded from analysis owing to low response rate). The largest group in respect of experience were senior SLTs (58% in both surveys). The work settings most strongly represented were HSE primary care (34.4%) and disability services (26.5%) in the spring, and HSE primary care (39.1%), acute hospitals (22.8%) and disability services (20.8%) in the autumn. We used descriptive statistics, including distribution analysis, to analyse the quantitative data. Free text data were interrogated through a variant of a conventional qualitative content analysis. Outcomes & Results: In the spring, cessation of face-to-face services featured prominently (reported by 65.6% versus 14.2% in the autumn), across SLTs' work settings, except acute hospitals. Lower demand was reported by 42.5% in the spring, while in the autumn, 48.7% indicated that demand was higher. SLTs experienced large-scale redeployment (spring: 45.9%, autumn: 38.4%), with HSE primary care SLTs redeployed most (spring: 71.7%; autumn: 62.3%). The need to suddenly pivot to telehealth was a significant challenge in terms of training, technology and logistics. New ways of working emerged and gradually, telehealth became more embedded. SLTs also had to adapt to working with evolving public health measures, such as space restrictions and personal protective equipment (PPE) requirements. Across the two survey iterations, SLTs reported tensions between demands and capacity: while referrals and demand initially decreased in the spring, this led to increased backlog and longer waiting lists, ongoing and increasing pressure on clinicians and services, and negatively impacted clients and families. Conclusions & Implications: The COVID-19 pandemic had a significant negative impact on SLT services in Ireland. Going forward, the SLT profession and its services will require sustained support to mitigate long-term negative consequences, such as increased waiting lists.

The COVID-19 pandemic has brought significant changes across society. This Delphi study aimed to gain expert consensus on challenges faced and resource needs for autistic children during the COVID-19 pandemic. Round 1 of the Delphi method employed semi-structured interviews with experts (N = 24) which were thematically analysed in order to identify needs, resource targets and resource development. In a follow-up Round 2 survey participants rated emergent need and resource in order of priority. Round 2 provided consensus on challenges faced with anxiety, routine and wellbeing ranked most important. Direction on resource design was also obtained. Consensus on the challenges and resources was achieved and is being integrated into a needs-based transition resources toolkit. Future studies could make use of the Delphi method to quickly gain consensus on focus of needs in other contexts and communities.

Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of incorrect worked examples alone or in combination with correct examples remains unclear. Objectives: We aim to address whether studying incorrect examples alone or in combination with correct examples can support the reduction of students' fraction misconceptions, operationalized as errors made with high confidence. Methods: After incorrectly solving a sampling problem, 130 students in 4th through 11th grade in the U.S. were randomly assigned to a condition in an online problem set focused on fraction equivalence. Students studied either single-type worked examples (i.e., correct or incorrect; n = 49) or combination-type worked examples (correct and incorrect; n = 41) or engaged in a problem-solving control (n = 50). Results: Studying a combination of correct and incorrect worked examples was as effective as the problem-solving control with feedback at improving fraction equivalence knowledge and reducing the rate of high-confidence errors. Students in both the combination condition and the problem-solving with feedback condition outperformed those who studied either correct or incorrect worked examples alone. Conclusions: Results support the inclusion of a combination of correct and incorrect worked examples when teaching students with low prior content knowledge. Studying a combination of example types within an online tutor helps to reduce misconceptions about fractions, a topic students commonly struggle with. A problem-solving task with corrective feedback worked equally well.

Within the evolving landscape of advertising, educators and employers continuously strive to recognize students and potential employees for every competitive advantage. Creativity, a pivotal determinant of campaign effectiveness, has been recognized as the foremost soft skill sought by employers according to LinkedIn. Grounded in trait theory, this paper posits that personality serves as a crucial tool for educators and employers in identifying individuals predisposed to a career in creative advertising and delineates personality traits that are predictive of an individual's propensity to engage in creative advertising. This not only bridges the gap between personality and advertising practices but also offers empirical insights that could inform educational strategies and recruitment processes. Thus, it contributes a novel perspective to the discourse on talent identification and development in the creative advertising domain. Lastly, this study utilizes HEXACO Personality Inventory, an advancement from models such as the Big-5 to advance trait theory research.

Objective: Characterize college student COVID-19 behaviors and attitudes during the early pandemic. Participants: Students on two university campuses in Wisconsin. Methods: Surveys administered in September and November 2020. Results: Few students (3-19%) participated in most in-person activities during the semester, with eating at restaurants as the exception (72-80%) and attending work (35%) and parties (33%) also reported more frequently. The majority wore masks in public (94-99%), but comparatively fewer (42%) did so at parties. Mask-wearing at parties decreased from September to November (p < 0.05). Students attending parties, or consuming more alcohol, were less concerned and more likely to take COVID-19-associated risks. Conclusions: Students were motivated to adhere to COVID-19 prevention measures but gathered socially. Though there was frequent public masking, mask-wearing at parties declined in November and may represent pandemic fatigue. High-yield strategies for decreasing viral spread may include changing masking social norms and engaging with students about creative risk-reduction strategies.

Background: Advanced manufacturing techniques, such as three-dimensional (3D) printing, use digital models from computer-aided design to produce 3D objects. They are frequently employed in different areas of dentistry, such as orthodontics, oral implantology, and prosthodontics. Purpose: The aim of this review was to provide a comprehensive overview of 3D-printing technology for denture bases and explore the influence of incorporating different fillers into 3D-printed denture base resins on their physical, mechanical, and biological characteristics. Methods: Relevant studies were identified by searching papers published between 2010 and 2023 in several online databases, such as Scopus, PubMed, Cochrane library, and Google Scholar. The main inclusion criteria used during the search was identifying the papers which added nanoparticles in the resin as an agent to bring different functional characteristics within the 3D-printed denture base resin. Furthermore, even though the search criteria were set for finding papers from the past 10 years, development in this field has accelerated in the past 4–5 years. Findings: Various fillers have exhibited promising results in terms of their ability to improve the functional properties of the 3D-printed denture base resins. However, such improvements come at a higher cost with careful resin preparation when considering the filler particles, the fabrication complexities and the extensive post-processing that is required. Conclusions: The use of 3D-printing approaches and fillers to fabricate dentures is associated with significant benefits in terms of imparting functional properties, consistency in fabrication and opportunities for innovation. However, further research is required to acquire a better understanding of the holistic, long-term performance of various filler materials, concentrations, their clinical relevance and particularly the potential health risks from the fillers.