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In order to advance models of educational processes (intraindividual, intensive longitudinal), we propose a model in which we specify state and trait constructs, and an intraindividual variability construct. In our ecological momentary assessment study, we investigated how trait-level and intraindividual variability of students’ learning experiences (intrinsic and extrinsic motivation, task difficulty, effort exertion, help-seeking and competence evaluations) converged with teacher-reported student task-focus. 285 primary school students’ (Years 5 and 6) completed the Learning Experience Questionnaire using handheld computers, on average 13.6 learning episodes during one week (SD = 4.6; Range = 5-29; nepisodes = 3,433), and these were linked with teacher-reports. We defined mean squared successive differences (MSSD) for each indicator. We specified uni- and multivariate models of state, trait and intraindividual variability constructs of students’ learning experiences using multilevel structural equation models (MSEM). Teacher reported task-focus converged with trait constructs (from |r| = .22 to .42), and with intrapersonal variability constructs (from r = -.12 to r = -.36), higher task-focus being associated with less variability. Intraindividual variability formed a higher-order construct, and teachers’ negative wording bias was also associated with variability. Overall, our study provides support for intraindividual variability as a construct in its own right, which has the potential to provide novel insight into students’ learning processes.

In order to advance our understanding of educational processes, we present a tutorial of intraindividual variability. An adaptive educational process is characterised by stable (less variability), and a maladaptive process is characterised by instable (more variability) learning experiences from one learning situation to the next. We outline step by step how we specify a multilevel structural equation model of state, trait and individual differences in intraindividual variability constructs, which can be appropriately fitted to intraindividual data (e.g., time-points nested in persons, intensive longitudinal data). In total 285 primary school students' (Years 5 and 6) completed the Learning Experience Questionnaire using handheld computers, on average 13.6 learning episodes during one week (SD = 4.6; Range = 5-29; nepisodes = 3,433). We defined mean squared successive differences (MSSD) for each manifest indicator of task difficulty, competence evaluation and intrinsic motivation. We also demonstrate how to specify multivariate models for investigating convergent validity of the variability constructs. Overall, our study provides support for intraindividual variability as a construct in its own right, which has the potential to provide novel insight into students' learning processes.

Abstract Semiconductor spin qubits represent a promising platform for future large-scale quantum computers owing to their excellent qubit performance, as well as the ability to leverage the mature semiconductor manufacturing industry for scaling up. Individual qubit control, however, commonly relies on spectral selectivity, where individual microwave signals of distinct frequencies are used to address each qubit. As quantum processors scale up, this approach will suffer from frequency crowding, control signal interference and unfeasible bandwidth requirements. Here, we propose a strategy based on arrays of degenerate spins coherently dressed by a global control field and individually addressed by local electrodes. We demonstrate simultaneous on-resonance driving of two degenerate qubits using a global field while retaining addressability for qubits with equal Larmor frequencies. Furthermore, we implement SWAP oscillations during on-resonance driving, constituting the demonstration of driven two-qubit gates. Significantly, our findings highlight how dressing can overcome the fragility of entangling gates between superposition states and increase their noise robustness. These results constitute a paradigm shift in qubit control in order to overcome frequency crowding in large-scale quantum computing.

Abstract Background Little is known about the prevalence of dermatoses in “skin-well” geriatric Singaporeans. We aim to identify the prevalence of dermatoses and their associations within the geriatric population in Singapore, and to understand the distribution of dermatological encounters presenting to primary care physicians, and the resultant referral behaviour. Methods A joint quantitative-qualitative study was performed across 8 months. Patients aged 65 years and above who visited a local polyclinic for management of non-dermatological chronic diseases were recruited. They were administered questionnaires, and underwent full skin examinations. Online surveys were disseminated to polyclinic physicians under the same healthcare cluster. Results 201 patients and 53 physicians were recruited. The most common dermatoses identified in patients were benign tumours and cysts (97.5%), and asteatosis (81.6%). For every 1-year increase in age, the odds of having asteatosis increased by 13.5% (95% CI 3.4–24.7%, p = 0.008), and urticarial disorders by 14.6% (95% CI 0.3–30.9%, p = 0.045). Patients who used any form of topical preparations on a daily basis had higher odds of having eczema and inflammatory dermatoses (OR 2.51, 95% CI 1.38 to 4.56, p = 0.003). Physicians reported dermatological conditions involving 20% of all clinical encounters. Eczema represented the most commonly reported dermatosis within the first visit. 50% of dermatology referrals were done solely at the patient’s own request. Conclusion The prevalence of dermatoses in the elderly in Singapore is high, especially asteatosis. Prompt recognition by the primary healthcare provider potentially prevents future morbidity. Outreach education for both primary care physicians and the general public will be key. Ethics approval National Healthcare group (NHG) Domain Specific Review Board (DSRB), Singapore, under Trial Registration Number 2020/00239, dated 11 August 2020.

Abstract Honey bees are commonly co-exposed to pesticides during crop pollination, including the fungicide captan and neonicotinoid insecticide thiamethoxam. We assessed the impact of exposure to these two pesticides individually and in combination, at a range of field-realistic doses. In laboratory assays, mortality of larvae treated with captan was 80–90% greater than controls, dose-independent, and similar to mortality from the lowest dose of thiamethoxam. There was evidence of synergism (i.e., a non-additive response) from captan-thiamethoxam co-exposure at the highest dose of thiamethoxam, but not at lower doses. In the field, we exposed whole colonies to the lowest doses used in the laboratory. Exposure to captan and thiamethoxam individually and in combination resulted in minimal impacts on population growth or colony mortality, and there was no evidence of synergism or antagonism. These results suggest captan and thiamethoxam are each acutely toxic to immature honey bees, but whole colonies can potentially compensate for detrimental effects, at least at the low doses used in our field trial, or that methodological differences of the field experiment impacted results (e.g., dilution of treatments with natural pollen). If compensation occurred, further work is needed to assess how it occurred, potentially via increased queen egg laying, and whether short-term compensation leads to long-term costs. Further work is also needed for other crop pollinators that lack the social detoxification capabilities of honey bee colonies and may be less resilient to pesticides.

Abstract Spins of electrons in silicon MOS quantum dots combine exquisite quantum properties and scalable fabrication. In the age of quantum technology, however, the metrics that crowned Si/SiO2 as the microelectronics standard need to be reassessed with respect to their impact upon qubit performance. We chart spin qubit variability due to the unavoidable atomic-scale roughness of the Si/SiO2 interface, compiling experiments across 12 devices, and develop theoretical tools to analyse these results. Atomistic tight binding and path integral Monte Carlo methods are adapted to describe fluctuations in devices with millions of atoms by directly analysing their wavefunctions and electron paths instead of their energy spectra. We correlate the effect of roughness with the variability in qubit position, deformation, valley splitting, valley phase, spin-orbit coupling and exchange coupling. These variabilities are found to be bounded, and they lie within the tolerances for scalable architectures for quantum computing as long as robust control methods are incorporated.

Abstract Background Despite the relative importance, the prevalence of workplace safety and health issues in hospital food service workers is not well studied. This study describes the epidemiology of work-related injuries and occupational diseases among hospital food service workers (FSWs) in a tertiary hospital in Singapore. Methods Using a total population sampling approach, a cross-sectional self-administered questionnaire was distributed to all FSWs employed at a major tertiary hospital in Singapore. Results The response rate was 98.4% (n = 125). The overall prevalence of workplace injuries and musculoskeletal symptoms was 35% (n = 43) and 53% (n = 65) respectively. The most common workplace injuries were cuts/lacerations (35.8%), muscle strain (25.4%) and burns (19.4%). The prevalence of workplace injuries among staff performing food preparation duties was higher at 56.3% as compared to 21.6% among staff with no food preparation duties (p

The integrity and clarity of information have long been regarded as the cornerstones of advertising strategy. However, recent game advertising has taken a different approach. Specifically, incomplete game videos, especially those showcasing losing gameplay, are more likely to stimulate players’ interest compared to complete videos of winning gameplay. This study, through five experiments, uncovers a dual-pathway mechanism behind this phenomenon. Firstly, information gaps resulting from incomplete videos trigger curiosity drive, compelling viewers to seek more information and reinforcing their willingness to engage in gaming. Secondly, witnessing failures in game demonstrations activates components of downward social comparison and competitive motivation. These findings offer valuable insights into the complex dynamics of game advertising, shedding light on the effects of information gaps, curiosity, and social comparison. They provide valuable implications for advertising strategies within the gaming industry.

Rapid growth has been witnessed in digital technologies, resulting in significant productive changes in communication and information technology-oriented practices in different fields. Hybrid teaching or blended learning has gained progressively widespread acceptance in the educational process, and concerns about teachers' information and communication technology (ICT) competence or digital competence have become prevalent. This study adopts a systematic review to interpret and analyse the relevant research findings, aiming to systematically investigate the existing models and paradigms of ICT competence or digital capacities and to understand further how these models and paradigms are applied specifically within the context of Chinese universities. Based on inclusion and exclusion criteria, 12 out of 801 candidate studies were accessed from Web of Science, Scopus and the China National Knowledge Infrastructure (CNKI) databases. The findings indicate that the Technological Pedagogical Content Knowledge (TPACK) and the National Educational Technology Guides for Teachers in Higher Education (CETG) are frequently used to evaluate college educators' digital proficiency or ICT capability in China. Educators’ demographic characteristics, self-efficacy, external factors such as institutional policies and the availability of infrastructure and training collectively influence how digital teaching is integrated within Chinese higher education institutions. By conducting a systematic review of research trends and the critical factors affecting the digital competence of faculty in Chinese universities, this study aims to equip policymakers and educators with a deeper understanding of how to prepare for educational shifts in the digital era and thereby ensure the sustainability of professional development.

Summary: Background: Drug overdose is an escalating public health crisis in the United States (U.S.). This study evaluated the temporal trend of drug overdose-related deaths in the U.S., with an emphasis on identifying disparities across subpopulations and the contributing drugs. Methods: Using the nationwide death dataset from the National Vital Statistics System (NVSS), we estimated the drug overdose-related age-standardized mortality rate (ASMR) and temporal trends for individuals aged 12 and older from 2012 to 2022. Excess mortality during the Coronavirus disease 2019 (COVID-19) pandemic was evaluated based on the pre-pandemic trends using predictive modeling analysis. Findings: Among 809,967 overdose-related deaths during 2012–2022, ASMR increased by 8.9% [95% confidence interval (CI): 6.0%–11.9%] per year from 2012 to 2019 and increased to 12.9% (95% CI: 2.1%–24.8%) from 2019 to 2022, with the excess ASMR of 16.9% in 2020, increased to 26.4% in 2021 and then decreased to 19.3% in 2022. Significant age, sex, racial/ethnic and geographic disparities were demonstrated, with adolescents (annual percentage change [APC]:21.6%) and males (APC:13.6%) having the most pronounced increase during the pandemic. Ethnic minorities especially the non-Hispanic American Indian/Alaska Native experienced the highest excess ASMR (33.1% in 2020). Illicit fentanyl and synthetics starting with the lowest ASMR in 2012 (1.0 per 100,000), marked the most dramatic increase and became the leading cause of overdose-related death since 2016 (7.5 per 100,000), leading to the highest ASMR by 2022 (27.4 per 100,000). All drug types except heroin experienced varying degrees of excess ASMRs, with prescription opioid pain relievers (23.5%–55.1%), benzodiazepines (27.4%–40.9%) and antidepressants (10.4%–17.8%) exhibiting consistent increases from 2020 to 2022, while the excess ASMRs for illicit fentanyl and synthetics (25.3%–10.0%), psychostimulants (32.8%–14.6%) and methadone (35.0%–33.3%) decreased between 2021 and 2022. Interpretation: Overdose-related mortality is increasing at an alarming rate, and the stark differences point to the need for targeted interventions to reduce the burden of drug overdose deaths. Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Objectives To evaluate asthma characteristics and treatment patterns, including short-acting β2-agonist (SABA) prescriptions, in primary and specialist care in the Singapore cohort of the SABA use IN Asthma (SABINA III) study.Design Cross-sectional, observational study.Setting Multicentre study conducted at five sites across Singapore.Methods In patients with asthma (aged ≥12 years), data on demographics, disease characteristics and asthma treatment prescriptions were collected using electronic case report forms. Patients were classified by investigator-defined asthma severity (guided by 2017 Global Initiative for Asthma recommendations) and practice type (primary/specialist care).Results Of the 205 patients analysed (mean (SD) age, 53.6 (16.8) years; female, 62%), 55.9% were enrolled by specialists and 44.1% by primary care physicians. Most study patients (80.5%) had moderate-to-severe asthma (86.0% in specialist care and 74.4% in primary care). In the 12 months before study enrolment, 18.0% of patients experienced ≥1 severe exacerbation. Asthma was well or partly controlled in 78.0% of patients. Overall, 17.1% of all patients were overprescribed SABA (≥3 SABA canisters/year) in the preceding 12 months, and overprescription was greater in specialist versus primary care (26.3% vs 5.6%). Only 2.9% of patients were prescribed SABA monotherapy, while 41.0% received SABA in addition to maintenance therapy. Among the latter, 40.5% were overprescribed SABA. Overall, a higher percentage of patients prescribed ≥3 SABA canisters (vs 0–2 SABA canisters) were assessed as having uncontrolled asthma during the study visit (42.9% vs 17.6%). Maintenance therapy in the form of inhaled corticosteroids (ICS) or ICS/long-acting β2 agonist fixed-dose combinations were prescribed to 14.1% and 84.9% of patients, respectively, in the 12 months before enrolment.Conclusions In this Singapore cohort, ~17% of all patients and more than 40% of patients prescribed SABA in addition to maintenance therapy were overprescribed SABA. These findings emphasise the need to align clinical practices with the latest evidence-based treatment recommendations.Trial registration NCT03857178.

The panoramic stereo video has brought a new visual experience for the audience with its immersion and stereo effect. In panoramic stereo video, the face is an important element. However, the face image in panoramic stereo video has varying degrees of deformation. This brings new challenges to face recognition. Therefore, this paper proposes a face recognition model DCM2Net (Deformable Convolution MobileFaceNet) for panoramic stereo video. The model mainly integrates the feature information between channels during feature fusion, redistributes the information between channels in the deeper part of the network, and fully uses the information between different channels for feature extraction. This paper also built a panoramic stereo video live system, using the DCM2Net model to recognize the face in panoramic stereo video, and the recognition results are displayed in the video. After experiments on different datasets, the results show that our model has better results on popular datasets and panoramic datasets.