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The apps for drawing are present in our children's life. Nevertheless, little is known about the impact of mobile technology on the freehand drawing educational activity. There are few works which are contextualised within short periods of time, with teachers who are not theirs and, in some cases, outside the children's classroom. In this paper, we are focussed on the use of technology on freehand drawing activity. Thus, we have compared the graphics produced by 4- and 5-year-old children with paper&crayon in comparison with those with tablet-finger. Children made the drawings during a planned free-drawing activity, in their ordinary classrooms, with their teachers and during five sessions. Assessment of drawings has evidenced tablet feasibility for making graphics. Nevertheless, with the passing of time, quality of graphics (tablet-finger vs paper&crayons), are nearly matched, demonstrating the low impact level technology has on this activity. In addition, if drawings are analysed specifically according to ages, results have shown that both groups have to develop adaptation strategies of visual perceptual skills and fine motor skills for the touch screen in order to obtain the same quality in the drawings made on both support types. [ABSTRACT FROM AUTHOR]

Objective: To comparatively evaluate performances of tablet-based versus paper-based Venous Insufficiency Epidemiologic and Economic Study-Quality of Life/Symptom (VEINES-QOL/Sym) questionnaire. Methods: We prospectively evaluated 78 consecutive patients who completed tablet-based and paper-based VEINES-QOL/Sym questionnaires and compared their scores, completion time, data entry time, and ease of use. We used Student's t-test and Wilcoxon test for quantitative variables, Bland–Altman test and kappa coefficient for agreement between questionnaires and patients, respectively. Spearman's correlation coefficient was used to assess correlations. Results: Most participants (83.3%) found it easier to use the tablet device. Less time was needed to complete the tablet-based (median, 4.75; IQR, 3–7 min) than the paper-based (median, 8.3; IQR, 6.3–11.3 min) questionnaire (p <.001). Better educated patients took less time to complete paper-based (p =.003) and tablet-based (p =.001) questionnaires and considered the latter easier to use (p =.010). Conclusions: The tablet-based VEINES-QOL/Sym proved to be an easy-to-use and time-saving tool. [ABSTRACT FROM AUTHOR]

This study traces the evolution of computer-assisted language learning (CALL) by investigating published research articles (RAs) in four major CALL journals: ReCALL, Computer Assisted Language Learning, Language Learning & Technology, and CALICO Journal. All 2,397 RAs published over four decades (1983-2019) were included in the pool of data, and the Google Scholar citation metric was adopted to assess the impact of the papers. By selecting the top 15% of widely cited papers from each individual year, we minimized the time bias between years, enabling a balanced narration of the history of CALL through a representative dataset of 426 high-impact RAs. To identify the evolution of research trends, the contexts, methodologies, theoretical underpinnings and research foci of all 426 RAs were investigated using NVivo 12 and AntConc. The analysis of the data yielded encouraging results such as the upward trend in the number of publications and the international reach of CALL in the last two decades, the physical or virtual presence of language learners with diverse language profiles, and the growing tendency to triangulate methodology for increased complexity. However, long-standing issues such as the heavy reliance on traditional research contexts, poor reporting practices of basic demographic information, the large number of atheoretical papers and the concentration on a limited number of research foci continue to pose challenges in CALL research. Based on the findings, the paper suggests solutions for the controversies and addresses key issues for future research in CALL. [ABSTRACT FROM AUTHOR]

Although various academic disciplines use data papers to support effective research practices, data papers are still uncommon in the educational sciences. Main goals of data papers are enhancing transparency regarding research processes and supporting data sharing among researchers and thus, open science. As many educational research projects include personal data often of minors, publishing raw data can be challenging due to privacy regulations and laws (GDPR). The present article aims at exploring how a data paper can contribute to open science and enhancing transparency regarding research and publication processes for educational research projects, often containing personal data that cannot be made openly available in its raw form. To this end, we describe a dataset of a research project on teachers' noticing as basis for their classroom management. As this project includes rich process-tracing recording methods, the dataset is diverse and serves as basis for multiple analyses and publications while containing personal data of teachers and minors. By elaborating on the characteristics of the dataset, its gathering, analysis approaches and sharing preprocessed and anonymized data files, this data paper explores how to contribute to transparency and open science in educational sciences while acting within the boundaries set by privacy regulations and laws. [ABSTRACT FROM AUTHOR]

Simple Summary: Blood clots are formed when blood vessels are injured. They help stop bleeding and heal wounds, but can also cause serious problems if they block blood flow or break off and travel to other organs. This study investigates how blood clots differ in people with cancer compared to healthy or non-cancerous individuals. This study found that cancer patients have higher levels of histones in their blood, which make their clots stiffer and resistant to lysis. Further, clots formed in cancer patients have higher viscoelastic properties, and hence are harder to break down. These findings suggest that cancer patients have abnormal clotting properties that may increase their risk of developing thrombosis, and evaluating these properties can be helpful in detecting cancer. Background: Blood viscoelasticity and plasma protein levels can play an important role in the diagnosis and prognosis of cancer. However, the role of histones and DNA in modulating blood clot properties remains to be investigated. This study investigates the differences in blood viscoelasticity and plasma protein levels among cancer patients, individuals with other diseases, and healthy individuals. Methods: Blood samples were collected from 101 participants, including 45 cancer patients, 22 healthy individuals, and 34 individuals with other diseases. Rheological properties of clots formed in vitro by reconstituted elements of fibrinogen or plasma were analyzed with an Anton Paar Rheometer, USA. Plasma protein levels of D-dimer, TPA, EPCR, fibrinogen, and histone H3 were measured through ELISA. Blood clots were formed with or without DNA and histones (H3) by adding thrombin and calcium to plasma samples, and were evaluated for viscoelasticity, permeability, and degradation. Results: Cancer patients show higher blood viscoelasticity and plasma D-dimer levels compared to healthy individuals and individuals with other diseases. Our in vitro analysis showed that the addition of histone to the plasma results in a significant decrease in viscoelasticity and mean fiber thickness of the clot formed thereafter. In parallel studies, using plasma from patients, DNA and histones were detected in fibrin clots and were associated with less degradation by t-PA. Moreover, our results show that the presence of DNA and histones not only increases clots' permeability, but also makes them more prone to degradation. Conclusions: Plasma histones and DNA affect the structure of the clot formed and induce defective fibrinolysis. Moreover, the increased viscoelastic properties of plasma from cancer patients can be used as potential biomarkers in cancer prognosis. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to investigate associations between digital urine color and paper urine color with other urine indices to assess hydration status. Methods: Twelve male subjects (mean ± standard deviation; age, 26 ± 8 years; body mass, 57.8 ± 5.3 kg; height, 177.5 ± 8.9 cm; VO2max, 57.8 ± 5.8 ml·kg−1·min−1) performed four exercise trials in the heat. Before and following exercise trials, subjects provide urine samples. Urine samples were measured using a digital urine color chart on a portable device screen. Urine samples were also assessed with urine specific gravity (USG), urine osmolality (UOsmo), and a validated paper urine color chart. Results: There were extremely large associations found between digital urine color and paper urine color (r = 0.926, p < 0.001). Correlation coefficients showing associations with USG and UOsmo were similar between digital urine color (USG, r = 0.695, p < 0.001; UOsmo, r = 0.555, p < 0.001) and paper urine color (USG, r = 0.713, p < 0.001; UOsmo, r = 0.570, p < 0.001). Bland–Altman analysis indicated that no proportional bias was observed between digital and paper urine colors (bias, − 0.148; SD of bias, 0.492; 95% LOA, − 1.11, 0.817; p = 0.094). Conclusions: Strong associations were found between digital and paper urine colors with no proportional bias. Furthermore, the degree of associations with USG and UOsmo was similar between digital and paper urine color. These results indicate that digital urine color is a useful tool to assess hydration status and this method could be used as an alternative method to using paper urine color. [ABSTRACT FROM AUTHOR]

Healthcare‐associated infections (HAIs) are a global public health threat. Italy is one of the countries with the highest prevalence of HAI. Hand hygiene (HH) is a pillar of infection prevention and control. Monitoring HH is necessary to improve HH compliance, and direct observation is considered the gold standard. Transcription and analysis of data collected during direct observation of HH compliance with the WHO paper form are time‐consuming. We collected, during a 9‐day observation period, HH opportunities and compliance both with a smartphone application (SpeedyAudit) and with the WHO paper form. Then, we investigated the difference in the required time for data transcription and analysis between the WHO paper form and the use of the app. The difference in the required time for data transcription and analysis was significant with a mean time of 2 s using the app and about 14–54 min/day using paper form (p =.004) while no significant difference was found in measured compliance rates between the two data collecting methods. HH monitoring with an app is time‐saving, and the app we used was easy to use. [ABSTRACT FROM AUTHOR]

The accurate identification of the oil-paper insulation state of a transformer is crucial for most maintenance strategies. This paper presents a multi-feature comprehensive evaluation model based on combination weighting and an improved technique for order of preference by similarity to ideal solution (TOPSIS) method to perform an objective and scientific evaluation of the transformer oil-paper insulation state. Firstly, multiple aging features are extracted from the recovery voltage polarization spectrum and the extended Debye equivalent circuit owing to the limitations of using a single feature for evaluation. A standard evaluation index system is then established by using the collected time-domain dielectric spectrum data. Secondly, this study implements the per-unit value concept to integrate the dimension of the index matrix and calculates the objective weight by using the random forest algorithm. Furthermore, it combines the weighting model to overcome the drawbacks of the single weighting method by using the indicators and considering the subjective experience of experts and the random forest algorithm. Lastly, the enhanced TOPSIS approach is used to determine the insulation quality of an oil-paper transformer. A verification example demonstrates that the evaluation model developed in this study can efficiently and accurately diagnose the insulation status of transformers. Essentially, this study presents a novel approach for the assessment of transformer oil-paper insulation. [ABSTRACT FROM AUTHOR]

Peer-reviewed conferences, the main publication venues in CS, rely critically on matching highly qualified reviewers for each paper. Because of the growing scale of these conferences, the tight timelines on which they operate, and a recent surge in explicitly dishonest behavior, there is now no alternative to performing this matching in an automated way. This paper introduces Large Conference Matching (LCM) , a novel reviewer–paper matching approach that was recently deployed in the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), and has since been adopted (wholly or partially) by other conferences including ICML 2022, AAAI 2022-2024, and IJCAI 2022-2024. LCM has three main elements: (1) collecting and processing input data to identify problematic matches and generate reviewer–paper scores; (2) formulating and solving an optimization problem to find good reviewer–paper matchings; and (3) a two-phase reviewing process that shifts reviewing resources away from papers likely to be rejected and towards papers closer to the decision boundary. This paper also describes an evaluation of these innovations based on an extensive post-hoc analysis on real data—including a comparison with the matching algorithm used in AAAI's previous (2020) iteration—and supplements this with additional numerical experimentation.2 [ABSTRACT FROM AUTHOR]

The five papers published by Hodgkin and Huxley in 1952 are seminal works in the field of physiology, earning their authors the Nobel Prize in 1963 and ushering in the era of membrane biophysics. The papers present a considerable challenge to the novice student, but this has been partly allayed by recent publications that have updated the reporting of current and voltage to reflect the modern convention and two books that describe the contents of the papers in detail. A disadvantage is that these guides contain hundreds of pages, requiring considerable time and energy on behalf of the reader. We present a concise guide to the Hodgkin and Huxley papers that includes only essential content, with the data presented in a linear and logical manner. We have color-coded figures for ease of understanding and included boxes that summarize key information for easy reference. It is our expectation that this article will act as an accessible introduction for students to the work of Hodgkin and Huxley and hopefully foster an appreciation for a fascinating story that repays in-depth study. NEW & NOTEWORTHY The Hodgkin and Huxley papers continue to inspire and intimidate, 70 years after their publication. The diverse subjects they cover include advanced experimental procedures, complex data analysis, calculus, and modeling, all of which ensure the papers can present a challenging read. We present a concise guide to the papers that includes only essential content depicted in color-coded graphs, allowing tracking of data from recordings to analysis and incorporation into the model to ease understanding. [ABSTRACT FROM AUTHOR]

This study aims to explore the SCImago Institutional Ranking (SIR) 2022 to gain insight into the profile of Sri Lankan universities. Additionally, the study aims to investigate whether there was consistency between Scopus profiles and SIR. Furthermore, the research delves into various factors that impact the research ranking of an academic institution as defined by SCImago, which goes beyond just the number of publications. The data for the study were retrieved from SIR (2022) and Scopus database (2022) and were systematically analyzed. The author chose the following options to extract the data for overall ranking, Universities as a sector, Sri Lanka as the country and 2022 as the year based on all subject areas. The study found that the number of Sri Lankan universities eligible for the SCImago ranking has gradually increased from 2013 to 2022. According to SIR, the University of Colombo is the top-ranked academic institution in Sri Lanka, followed by Rajarata University of Sri Lanka and the University of Jaffna. Out of the fourteen universities in Sri Lanka, eight were ranked by SIR, with six being in the Q1 (first cluster) and two in the Q2 (second cluster). Interestingly, the Rajarata University of Sri Lanka was ranked 1st in SIR 2022 for its research performance among Sri Lankan universities with their 105 publications indexed in Scopus. Analysis of data shows that there is no relationship between the Scopus profile and the SIR. It is also suggesting that having a high number of articles in the Scopus database does not necessarily guarantee a high rank in SIR. The SIR not only depends on the number of publications but also on other factors related to the quality of the publications. Therefore, universities cannot assume their SIR position by considering only the quantity of Scopus indexed publications. SIR mainly considers the quality of the publications to measure the institutional research performance. The SCImago ranking evaluates the institutional whole performance through three of its indicators, and research performance is measured only through Scopus indexed publication. Sri Lankan publications in local and international journals which are not indexed in Scopus and conference papers were not counted for research performance. The findings of this study will facilitate the institutions to compare their position with other institutions, standardize their research practices, improve the international collaboration to uphold the academic benchmark, regulate their research publications and promote their visibility and finally support government bodies and policymakers regarding fund allocations and strategic planning. [ABSTRACT FROM AUTHOR]

This paper discusses about the scatter of the intensity of vibration signals of paper prints and analyses their mechanical parameters applying the theory of covariance functions. It is an important practical problem, before starting printing process of colour prints, expecting the correct position of fixed raster points, to adjust the paper sheet tension between printing machine sections. The results of measuring the intensity of vibration signals at the fixed points were presented on a time scale in the form of arrays (matrices). The estimates of cross-covariance functions between digital arrays result in measuring the intensity of vibrations, and the estimates of auto-covariance functions of single arrays were calculated upon changing the quantization interval on the time scale. Application of normed auto-covariance and crosscovariance functions enables reduction of preprinting experimental measurements, which saves time (what is actual for industry). Tension force depends on the mechanical properties of the paper sheet and print. These characteristics depend on paper type, layers of printing colors and positioning of the coverage. In the calculation, the software Matlab 7 in batch statement environment was applied.

Appropriate paper-based technology (APT) is used to provide postural support for children with cerebral palsy (CP) in low-resourced settings. This pilot study aimed to evaluate the impact of APT on the children's and families' lives. A convenience sample of children with CP and their families participated. Inclusion was based on the Gross Motor Function Classification System levels IV and V. APT seating or standing frames were provided for six months. A mixed methods impact of APT devices on the children and families included the Family Impact Assistive Technology Scale for Adaptive Seating (FIATS-AS); the Child Engagement in Daily Life (CEDL) questionnaire; and a qualitative assessment from diary/log and semi-structured interviews. Ten children (median 3 years, range 9 months to 7 years). Baseline to follow-up median (IQR) FIATS-AS were: 22.7 (9.3) and 30.3 (10.2), respectively (p=.002). Similarly mean (SD) CEDL scores for "frequency" changed from 30.5 (13.2) to 42.08 (5.96) (p=.021) and children's enjoyment scores from 2.23 (0.93) to 2.91 (0.79) (p=.019). CEDL questionnaire for self-care was not discriminatory; seven families scored zero at both baseline and 6 months. Qualitative interviews revealed three key findings; that APT improved functional ability, involvement/interaction in daily-life situations, and a reduced family burden of care. APT devices used in Kenyan children with non-ambulant CP had a meaningful positive effect on both the children's and their families' lives. Assistive devices are often unobtainable for children with cerebral palsy (CP) in low-income countries. APT is a low cost and sustainable solution to make seating and standing devices for disabled children in Kenya. The regular use of a postural support device enhanced the children's motor skills, ability to function and participate in everyday activities, reduced the burden of care for the families and promoted the children's social interaction. The postural support devices were highly valued and utilised by the children and families in this study. [ABSTRACT FROM AUTHOR]

The article focuses on the retraction of a paper on cancer microbiome research, published in 2020 in the journal "Nature" that claims of identifying microbial signatures of different human cancers.

Why you should read this article: • To avoid bias in analysis, interpretation and generalisability of findings that can occur from missing data when using self-administered questionnaires • To develop strategies to prevent missing data in self-administered questionnaires • To understand the methodological and statistical considerations underlying the use of prevention strategies in quantitative studies Background: Self-administered questionnaires are efficient and low-cost ways of collecting data with wide cohorts. Nonetheless, their use in studies can result in a high occurrence of missing data, which can affect the statistical power, representativeness and generalisability of the findings. Imputation methods have been considered efficient statistical techniques for managing missing data. However, they have also been associated with limits, such as the risk of under-estimation of the effect, lower statistical power and decrease of correlation among variables. Recent studies have highlighted the importance of using prevention strategies to avoid missing data before the data are analysed. Aim: To identify strategies for preventing the occurrence of missing data and to discuss their effects, as well as their methodological and statistical considerations. Discussion: The article discusses prevention strategies related to the administration format and follow-up and reminders. Strategies such as the use of electronic tablets, email and telephone reminders are associated with lower rates of missing data in self-administered questionnaires. However, methodological and statistical limits, including the absence of a comparison group and statistical validation of the reported results, limits the capacity to establish robust consensus. Conclusion: Prevention strategies represent relevant and feasible avenues for handling missing data in a wide range of clinical, nursing and epidemiological research. More projects based on robust design are needed to ensure accurate and reliable data are collected from patients, families, communities and clinicians. Implications for practice: It is important for clinicians and nurses to understand the phenomenon of missing data and the strategies available to prevent missing data, to collect data representing the patients' and families' perspectives and experiences. [ABSTRACT FROM AUTHOR]

The gold standard for measuring anhedonia is the Snaith-Hamilton Pleasure Scale (SHAPS). To date, there are no validated electronic versions of this questionnaire. We aim to study the equivalence between the traditional paper-and-pencil format and a digital version of the SHAPS. A group of 67 patients completed both SHAPS formats, and differences between formats were assessed. McNemar's test showed no significant differences between the two systems. The Kappa coefficient was over 40% for most items, and reliability was above 0.8, showing good to excellent levels of internal consistency. Thus, we have demonstrated a close equivalence between paper-and-pencil and electronic SHAPS. [ABSTRACT FROM AUTHOR]

Accurate and up‐to‐date biodiversity forecasts enable robust planning for environmental management and conservation of landscapes under a wide range of uses. Future predictions of the species composition of ecological communities complement more frequently reported species richness estimates to better characterize the different dimensions of biodiversity. The models that make community composition forecasts are calibrated with data on species' geographic patterns for the present, which may not be good proxies for future patterns. The future establishment of novel communities represents data on species interactions unaccounted for by these models. However, detecting them in a systematic way presents challenges due to the lack of monitoring data for landscapes with high environmental turnover, where such communities are likely to establish. Here, we propose lightweight monitoring over both ecological and anthropogenic disturbance gradients using passive sensors (i.e., those that operate continuously without much human input) to detect novel communities with the aim of updating models that make community composition forecasts. Monitoring over these two gradients should maximize detection of novel communities and improve understanding of relationships between community composition and environmental change. Further, barriers regarding cost and effort are reduced by using relatively few sensors requiring minimal upkeep. Ongoing updates to community composition forecasts based on novel community data and better understanding of the associated uncertainty should improve future decision‐making for both resource management and conservation efforts. [ABSTRACT FROM AUTHOR]

Conventional nature conservation has attempted to protect biodiversity, ecological integrity (i.e., composition and biomass/abundance of native species), and ecosystem services in parallel, assuming generally positive relationships among them. However, many native species are potentially weakened by and maladapted to a new, warmer climate. Such native species may not be able to offer ecosystem services at previous levels. If the relationship between ecosystem services and native species is no longer positive due to climate change, pursuing ecological integrity could be ineffective for maximizing ecosystem services. Hence, there is room to investigate future relationships among biodiversity, ecological integrity, and ecosystem services. This investigation can be done by describing the changes in ecosystem services as a function of biodiversity and ecological integrity. Herein, biodiversity and ecological integrity can be expressed by phylogenetic diversity and species intactness indices based on abundance, respectively. According to my hypothetical figure, the metrics of biodiversity and ecological integrity are potentially not positively but rather negatively related to ecosystem services. The hypothetical figure can be examined and improved using three different approaches: computer simulations (e.g., the LANDIS‐II forest simulation model), collection of actual data (e.g., measuring ecosystem services of some sites with psychrophilic and thermophilic species), and questionnaire surveys about cultural services (e.g., using digitally manipulated photographs and generative adversarial networks). Thus, we can successfully enable practitioners to understand new relationships, which will be relevant to ecosystem management under changing climates. [ABSTRACT FROM AUTHOR]

This study examined the use of lexical bundles in the results and discussion sections of public health research articles (RAs) by comparing the native English writers with Iranian non-native English writers. To this end, four-, five-, and six-word lexical bundles were contrastively investigated in two different sub-corpora i.e. a native English corpus (NEC) and a non-native English corpus (NNEC). The corpus contained 496 985 words, and each sub-corpora included 100 RAs. The RAs were then examined structurally and functionally. The data were analysed both quantitatively, using frequency count and chi-square analyses, and qualitatively through content analysis. Based on the results, from among the lexical bundles, 29 four-word, 17 five-word, and one six-word bundles were identified in the NEC, while 52 four-word, 27 five-word, and five six-word bundles were found in the NNEC. The findings highlight that Iranian non-native English authors employed more four-word, five-word and six-word lexical bundles than native English authors. The descriptive and overall findings also suggested some differences in the two groups' functional and structural patterns of lexical bundles, whereas statistically insignificant differences were identified in the structural patterns of bundles in the groups. These findings lay considerable emphasis on the central part that lexical bundles play in English for academic purposes (EAP) and English for specific purposes (ESP) courses. [ABSTRACT FROM AUTHOR]

The Genetics Society of America is calling for submissions of papers on biobank-scale genomic data analyses. Biobanks, which are large collections of biological, medical, and genetic data on the same individuals, have revolutionized human genomics research. However, there is substantial heterogeneity between biobanks worldwide, creating both challenges and opportunities for data analysis. The series will focus on various topics, including population structures, selection bias, measurement errors, clinical observations, linkage with external data sources, meta-analysis, computational analysis methods, family-based analyses, ethical and privacy-related issues, and technological considerations. Manuscripts can be submitted until May 31, 2024, and the series will be an ongoing resource in this area. [Extracted from the article]

BACKGROUND: Toe function is characterised by the strength and dexterity of toe motion. However, previous studies have mostly focused on the importance of toe strength. OBJECTIVE: This study aimed to investigate the relationships between flexion strength and dexterity of the toes and physical performance. METHODS: Twenty healthy participants were included in this study. The flexion force of each toe was measured using a digital force gauge, and the toe dexterity was evaluated using the marble pick-up and rock-paper-scissors tests. These parameters were statistically analysed in relation to physical performance, including repeated side step and balance ability, which was evaluated using centre of pressure (COP) data during single-leg standing, tiptoe standing, and single-leg drop-jumping. RESULTS: A significant correlation was found between the first toe flexion force and the total trajectory length of the COP during one-leg standing and between the time required for marble pick-up and the rock-paper-scissors score and the COP during single-leg drop-jumping. CONCLUSION: The results underscore the importance of flexion strength and dexterity of the toes in human physical performance and the necessity for the evaluation and improvement of both functions. [ABSTRACT FROM AUTHOR]

Long term annual electricity consumption forecasting is very important for country's energy planning. These forecasts are influenced by several factors (political, technological, social, environmental and economic), and brings with itself a high uncertainty degree in its results and difficulties in the evaluation of such factors over them. A methodology that eases to take into account these factors aiming improve the results and help understanding the electricity consumption annual trajectory till the forecast horizon is, therefore, very much useful and desired. So, we propose a modelling structure using the bottom-up approach to cope with these matters and to evaluate the trajectory of long term annual electricity consumption of a sector of the Brazilian industry up to 2050 considering energy efficiency (EE) scenarios. It is important to emphasize that Brazil is a developing country, and to build a bottom-up approach was a challenge, mainly due to the fact that this model is data intensive. In particular, this modelling was applied in the pulp and paper sector. The main goal was to consider technological diffusion scenarios in EE measures, and show the energy savings achieved. The results point an energy savings in the order of 25% when an actual scenario is considered. [ABSTRACT FROM AUTHOR]

Background: Phenomenography emerged from pedagogy to examine the qualitatively different ways that individuals experience and perceive the same phenomenon. Despite its uniqueness, the uptake of phenomenography in nursing research is still limited. Potentially, this may be related to confusion regarding what the design is about, its philosophical underpinnings and how distinct it is from other qualitative designs. Objectives: To offer a better understanding of phenomenography by comparing it with other established qualitative research designs, examining its theoretical foundations, highlighting some studies that have employed the approach in nursing and offering methodological guidance to improve its uptake in nursing. Design: Discussion paper. Findings: Compared to the traditional qualitative designs employed in nursing, phenomenography has been utilized in fewer studies. The ontological, epistemological and methodological basis of phenomenography highlights it as a distinct design. The strength of phenomenography lies in its emphasis on understanding the collective variations between participants and presenting these holistically as an 'outcome space'. Discussion: Phenomenography is a distinct qualitative research approach that presents a unique opportunity for nursing to further its use. Issues regarding bracketing, the inclusion of phenomenography studies in qualitative meta‐synthesis and employing a hermeneutic approach to phenomenography are avenues for further work in nursing. Patient and Public Contribution: No patient or public contribution. [ABSTRACT FROM AUTHOR]

Users' experiences in mental health assessment are multifaceted, including their emotional experiences. Yet, studies of mobile apps for psychiatric assessment have centered on diagnostic accuracy and perceived usability, with little consideration of the impact of user emotional experiences. In this study, we focused on users' perceived usability and emotions and compared the user experience of a paper-and-pencil and an app-based collection of mental health screening questionnaires: EarlyDetect. The System Usability Scale (SUS) and modality-directed emotion questionnaires were administered using paper-and-pencil or iPad. Modality was assigned pseudo-randomly on patients' first visit at a referral-based mental health clinic. We found that patients assigned to the iPad app reported a significantly higher SUS score than patients assigned to paper-and-pencil, qualified by a modality-by-gender interaction where modality effects were significant for men but not for women. Moreover, enjoyment was positively linked to perceived usability, whereas boredom, frustration, and anxiety were negatively linked to usability. Our findings illustrate the added value of studying user experience applied to psychiatric assessments, where both emotions and gender-specific user experience should be taken into consideration. We further discuss the implications for psychiatric assessments via app versus traditional data collection. [ABSTRACT FROM AUTHOR]

This tutorial paper will survey the research on association rule-based table data analysis and its application. The proposed methods obtain helpful information from discrete table data through rules, which differs from statistical table data analysis by mean or variance. Regression expressions in continuous value table data can characterize past data and predict future data values. The same will hold for rules in discrete value table data. This tutorial paper consists of the following three parts. Part I: Background and Examples of Rule Generation from Tables Part II: Mathematical Research of Rule Generation from Tables Part III: Realization of Software Tools and Applications. We introduce the research trends in this field widely through three parts. [ABSTRACT FROM AUTHOR]

Product–service systems (PSS) have the potential to align businesses' financial incentives with environmental objectives. Conceptual and qualitative research on non‐ownership consumption suggests that such offerings benefit from dense local networks, which motivate system adoption and use. However, geographic network effects and their magnitude have not been examined with field data capturing revealed behavior. This paper leverages a large field dataset from a system for reusable take‐out food containers to evaluate the effect of increased geographic network density of participating restaurants on (a) the acquisition of new users and (b) the frequency of system use. Based on fixed effects Poisson panel models, this paper finds statistically significant and practically meaningful positive effects of increased geographic network density on acquiring new users. Notably, marginal effects of increased geographic network density on user acquisition diminish as networks get denser. In terms of frequency of use, no significant effects of geographic network density are identified. These results contribute to the literature on non‐ownership consumption by presenting nuanced field evidence of indirect, cross‐side network effects in PSS. Furthermore, findings encourage businesses and policymakers to promote PSS with dense local networks. [ABSTRACT FROM AUTHOR]

One important issue in performing a good research is to compare their current research with results of others. However, the comparison requires two or more papers to form a so-called compare-paper relation. This comparison can be identified based on their citation context, that consist of high number of sentences, rather than through basic features such as N-Gram. To investigate the relationship between papers, Wang et al. and several other researchers have applied the cue phrase feature, which was obtained via a manual analysis of a data set of scientific paper. Furthermore, a more complex feature was proposed by Park and Black for the same purpose. Nevertheless, they were unable to investigate accurately such relation, since their features are not made specifically for this purpose. In this paper, we propose new features that specifically intended to identify the relationship of papers or compare-paper relation. The experimental results show that the proposed features result in much better performance compared to the experiments by using the best baseline feature. By using 6 different classifiers, the experimental results also show that maximal values result in best values for each classifier. Moreover, other experimental results show that the best performance is obtained by combining the baseline features and the newly developed features, which shows that they are mutually reinforcing. [ABSTRACT FROM AUTHOR]

This is the second paper in a two-part study of predicting the size and timing of the next sunspot cycle (SC)25. Paper I examined the behavior of sunspot number (R) as a predictor, based on specific markers as gleaned from SC24. This paper (Paper II) examines the Aa and Ap geomagnetic indices, as well as the number of disturbed days (NDD), to effect the prediction for the size and timing of SC25. Presently (as of September 2019), SC24 is in the midst of what appears to be an extended solar minimum, with R, Aa, Ap, and NDD all of extremely low value and the nonoccurrence of any new cycle high latitude sunspots. Paper II describes methods for estimating the size of an SC and sets upper limits to the size of SC25. A definitive prediction cannot be made at this time but can be made when the minimum values of Aa, Ap, and NDD actually become available--probably in 2020 or more likely 2021. [ABSTRACT FROM AUTHOR]

This paper (Paper 1) provides estimates of the period (PER) for sunspot cycle (SC)24, the current ongoing solar cycle, and the timing and size of the next solar cycle, SC25. Presently, smoothed sunspot number R for SC24 continues to decrease with time, essentially being flat through 2018 into 2019 (measuring 6.0 in December 2018). The analyses presented herein strongly suggest that SC24, a slow-rising SC of small maximum amplitude, is also a cycle of long period (PER = 135 months), inferring that the epoch of sunspot minimum (Em) for SC25 likely will occur on or later than March 2020. If true, then the epoch of sunspot maximum (EM) for SC25 likely will occur on or later than April 2024 and probably be of small maximum amplitude (RM < 184), but of greater maximum amplitude than was seen in SC24 (RM = 116.4), presuming that SC25 will not be a statistical outlier with respect to the even-odd cycle effect. The minimum interval for SC24/25 appears similar to that experienced during the preceding minimum interval of SC23/24, but possibly slightly longer. [ABSTRACT FROM AUTHOR]

Examined are annual values of sunspot number (SSN), corrected sunspot area (SSA), number of active region entries (NARE), largest-observed area active region (LAAR), mean area per entry (MAE), highest latitude spot (HLS), and inferred correlations between selected parameters based on the observed data for the years 1875-2017. A number of ±1 standard error of measurement prediction intervals are made regarding the size of the next sunspot cycle (SC) SC25. In particular, based on the even-odd cycle effect, SC25, the next solar cycle, should have maximum annual SSN = 170.4 ± 13.7, maximum annual SSA = 1,730.3 ± 180.0 millionths of a solar hemisphere, and maximum annual NARE = 3,775 ± 510, assuming that it is not a statistical outlier. Also, based on the observed annual minimum value of HLS for 2017 (= 19°), one predicts minimum annual SSN = 7.0 ± 3.2, minimum annual SSA = 41.5 ± 31.7 millionths of a solar hemisphere, minimum annual NARE = 155 ± 76, maximum annual SSN = 136.2 ± 14.8, maximum annual SSA = 1,461.5 ± 261.2 millionths of a solar hemisphere, and maximum annual NARE = 2,771 ± 330 for SC25. As of March 2019, there have been no occurrences of high-latitude newcycle spots (=30°) during the decline of ongoing SC24. Monthly values of SSN, SSA, and NARE are now well within the range of expected values indicative of the approaching SC24/25 cycle minimum, especially values since November 2017. Hence, another prolonged cycle-minimum period, as was experienced for SC23/24, may be underway for SC24/25. [ABSTRACT FROM AUTHOR]

Mercury intrusion porosimetry (MIP) is an inexpensive and common technique to characterize porous structures like paper. One major limitation of MIP is the lack of information about the arrangement of pores in the structure, information that is particularly relevant for multilayer structures such as thickness-structured paper. In this article, results from Synchrotron X-ray 3D microtomography are combined with MIP data to provide in-depth and improved information about the structures. [ABSTRACT FROM AUTHOR]

The papers in this issue provide an excellent example of how pertinent distinctions which emerge from analysis of significant data sets can be communicated to colleagues and used to make sense of observations. The distinctions are vividly described, illustrated and exemplified, and used to chart maturation in student use of examples from middle school, through high school and into university. Curiously, no corresponding maturation was detected in students' choice of examples to use for themselves. Contrast was detected between the way students used the same examples for comprehending a conjecture and testing its validity, and the way that some mathematicians used specifically constructed examples for locating underlying structure. What emerged for me from reading these papers is confirmation of the central role of attention, the productiveness of engaging students at the earliest ages and throughout their schooling with the detection and expression of generality, and the importance of being explicit about the scope of generality encompassed by a claim. Purposeful use of examples by students could be expected to develop as teachers explicitly use examples purposefully with and for students. A reasonable conjecture might be that getting students to be explicit about the scope of generality, of possible variation of which they are aware, might shed light on obstacles and barriers to reasoning which might otherwise lead to proof. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS). Design/methodology/approach: This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications. Findings: The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to "Citation advantage of open access articles" and "Usage patterns of collaborative tagging systems." Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant. Originality/value: Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important. [ABSTRACT FROM AUTHOR]

With the development of science and technology, the energy issue has gradually become a topic of global common exploration. According to the relevant information, this paper designed a distributed new energy system based on the blockchain consensus algorithm. The system took the distributed new energy system as the main body, integrated it with blockchain technology, and finally formed a distributed new energy system based on blockchain consensus algorithm. The feasibility of the system was finally determined after the technical tests of voltage detection, power allocation, information collection, and algorithm security. In order to understand the differences between the performance of this system and the traditional system, this paper has made several performance data comparative analysis tests for this system and the traditional system. The test items included energy conversion utilization rate, energy storage, energy use price, energy cleanliness, energy access rate, energy use, etc. Finally, the relevant data of commercial power consumption and residential power consumption accounting for 30 % and 47 % of the total power consumption were obtained, and the data was used to analyze the source of power access. The proportion of green energy is 10 % and 17 %, respectively. According to a series of operation processes such as design, experiment, and analysis, it was finally determined that the system was feasible and effective. [ABSTRACT FROM AUTHOR]

The application of post-occupancy evaluation (POE) to address the quality of built spaces is widely recognized. This paper deals with the artifact 'Como Você Mora? – CVM' (How Do You Live?) – BIM', which incorporates questions from the POE CVM in BIM. The hypothesis raised was that POE data incorporated into BIM assists in understanding and analyzing the data designers obtained, for it provides clearer and more contextualized answers in the information model. The objective of the paper is to demonstrate the potential of incorporating a POE into the BIM information model, with the POE questionnaire CVM as a case study. To achieve the proposed goal, the work steps are based on Design Science Research, and are divided into (1) problem identification, (2) definition of expected results, (3) development, (4) demonstration, (5) evaluation, and (6) communication. In this paper, the first three steps of the method are presented. The contribution is made by the methodological advance in the area of POE over previous research, seeking artifacts that assist the realization of more efficient projects in terms of housing quality assessment. Results show the potential of incorporating CVM POE into BIM, to facilitate data analysis and looking for patterns of responses by project typology, through the color map in floor plans, as well as the possibility of concentrating all project information permanently linked to a single BIM model. This can in turn avoid the loss of information we obtained in the POE. [ABSTRACT FROM AUTHOR]

In 2022, Gysembergh et al. published a paper in JHA claiming 'New evidence for Hipparchus' Star Catalogue'. In this paper we challenge this hypothesis by stating that (a) we disagree with their astronomical dating and find inconsistencies by using the given numbers, and (b) the terminology and the data format used in the palimpsest do not match Hipparchus or anybody else. Therefore, the palimpsest does not prove anything about Hipparchus's star catalogue nor did Hipparchus use rectangular constellation borders. Specifically, the constellation of Corona Borealis, typically depicted as a circle since Babylonian times, is not considered a rectangle by Hipparchus. Furthermore, a palimpsest that cannot be dated properly does not confirm the long-known relationship between Hipparchus and Ptolemy as the authors claim. [ABSTRACT FROM AUTHOR]

Interaction analysis is a critical component of clinical and public health research and represents a key topic in precision health and medicine. In applied settings, however, interaction assessment is usually limited to the test of a product term in a regression model and to the presentation of results stratified by levels of additional covariates. Stratification of results often relies on categorizing or making linearity assumptions for continuous covariates, with substantial loss of precision and of relevant information. In time-to-event analysis, moreover, interaction assessment is often limited to the multiplicative hazard scale by inclusion of a product term in a Cox regression model, disregarding the clinically relevant information that is captured by the absolute risk scale. In this paper we present a user-friendly procedure, based on the prediction of individual absolute risks from the Cox model, for the estimation and presentation of interactive effects on both the multiplicative and additive scales in survival analysis. We describe how to flexibly incorporate interactions with continuous covariates, which potentially operate in a nonlinear fashion, provide software for replicating our procedure, and discuss different approaches to deriving CIs. The presented approach will allow clinical and public health researchers to assess complex relationships between multiple covariates as they relate to a clinical endpoint, and to provide a more intuitive and precise depiction of the results in applied research papers focusing on interaction and effect stratification. [ABSTRACT FROM AUTHOR]

Aim: This study aims to adapt the "Nursing Practice Readiness Scale" to Turkish culture, and evaluate its psychometric properties. Background: New graduates' nursing practice readiness can impact their work adaptation and performance. Design: The research employed a methodological design. Methods: Data were collected between May and July 2022. The sample consisted of 436 newly graduated nurses. Content validity, construct validity and criterion validity were evaluated. Reliability was examined with adjusted item‐total correlation, Cronbach's a coefficient, composite‐reliability and split‐half reliability. Results: The Turkish version of Nursing Practice Readiness Scale was found to have good content and criterion validity. As a result of confirmatory factor analysis, the original five‐factor structure of the scale was also confirmed for the Turkish version. The scale's overall Cronbach's α coefficient was determined to be 0.96, with subscale coefficients ranging from 0.73 to 0.94. The composite reliability values of the subscales were found between 0.75 and 0.94. In split‐half reliability, the correlation coefficient between half was 0.952, with a Spearman–Brown Coefficient (Unequal Length) of 0.976. Conclusions: The Turkish version of Nursing Practice Readiness Scale is a valid and reliable measurement tool for evaluating the nursing practice readiness of newly graduated nurses. Summary statement: What is already known about this topic? The nursing practice readiness of newly graduated nurses may impact their work adaptation and performance.Work adaptation is an important predictor of intention to leave the profession and productivity. What this paper adds? This study adapted the Nursing Practice Readiness Scale to Turkish culture, and evaluated its psychometric properties.The Turkish version of Nursing Practice Readiness Scale was shown to be a valid and reliable tool that can be used to evaluate newly graduated nurses' nursing practice readiness. The implications of this paper Nurse educators will be able to assess the readiness of graduating students for nursing practice by using the scale.Nurse managers will be able to evaluate the readiness of new graduate nurses for nursing practice using the scale.Nurse managers and educators will be able to identify areas that need to be prioritized to increase the readiness of newly graduated nurses for nursing practice by using the scale. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study is to describe and evaluate how nurses caring for COVID and non‐COVID patients assess changes in their work and in nursing activities during the two waves of the COVID‐19 pandemic. Methods: Two cross‐sectional surveys were conducted for Estonian nurses working during the first and second waves of the COVID‐19 pandemic, using The impact of COVID‐19 emergency on nursing care questionnaire. Based on convenience sampling, the data were collected among the members of professional organizations, unions and associations. Responses from the first (n = 162) and second wave (n = 284) were analysed using descriptive statistics, Fisher's exact test and McNemar's test. Results: The COVID‐19 pandemic changed the working context during both waves for nurses caring for COVID and non‐COVID patients. Changes were considered to a greater extent during the second wave, when Estonia was severely affected, and by nurses caring for COVID patients. During the second wave, the number and complexity of patients increased, and nurses caring for COVID patients performed fundamental care, nursing techniques and symptom control significantly more frequently compared to nurses caring for non‐COVID patients. Conclusion: Taking care of COVID patients is demanding, requiring nurses to perform more direct patient care. However, the pandemic also increased the frequency of activities not related with direct patient care. Summary statement: What is already known about this topic? The COVID‐19 pandemic has influenced the context of care and all dimensions of nurses' work.Despite increasing research on the impact of the COVID‐19 pandemic on nursing care, little attention has been given to differences between caring for COVID and non‐COVID patients during the different waves of the COVID‐19 pandemic. What this paper adds? Nursing care for COVID patients requires from nurses more direct patient care through fundamental care activities, nursing techniques and symptom control compared to non‐COVID patients.The impact of the COVID‐19 pandemic on nurses' work reflects the severity and progress of different waves of the pandemic, which needs to be considered in preparing for future pandemics.Nursing care during a pandemic may also lead to an extensive workload due to tasks not related to direct patient care as nurses contribute to the management of the pandemic on all levels of health care. The implications of this paper: The COVID‐19 pandemic has had a significant impact on nursing, where the mitigation of long‐term effects of the pandemic is still ongoing, and thus, knowledge about the details of the resulting changes is required.Study findings enable us to mitigate the impact of the pandemic on nurses and to highlight aspects that need to be taken into account when preparing for future pandemics. [ABSTRACT FROM AUTHOR]

Aims: To investigate the relationship between the psychological resilience and burnout of nurses caring for COVID‐19 patients and to determine the factors that affect their psychological resilience and burnout. Background: In pandemic diseases such as COVID‐19, nurses experience burnout due to long working hours, decreased quality of life and anxiety/fear about their own/families' health. Psychological resilience helps to control burnout in nurses and prevent the development of a global nurse shortage. Design: This was a descriptive, correlational study. Methods: The sample of this study included 201 nurses in a Training and Research Hospital. The study used the Brief Resilience Scale and the Burnout Measure Short Version. Data were collected between 4 May and 1 June 2020. Statistical analysis was made with Pearson/Spearman, independent sample t test, one‐way analysis of variance (ANOVA) test. Results: Nurses reported moderate burnout and psychological resilience, with a negative and highly significant correlation between psychological resilience and burnout levels. Conclusions: In order to increase the quality of patient care/treatment, nurse managers need to reduce nurses' burnout and increase their psychological resilience. Nurses are recommended to adopt a healthy lifestyle, organize training programmes and implement psychological resilience interventions to prevent sleep disorders. Giving nurses the tools to understand what they need to manage within their locus of control will allow them to find a new sense of resilience, preventing potential burnout. Summary statement: What is already known about this topic? Epidemics and pandemics cause many negative effects on the individual/society in terms of physical, psychological, social and economic aspects.During epidemic and pandemic, nurses experience burnout caused by the accumulation of professional stress.Nurses with high levels of psychological resilience experience less psychological distress such as anxiety, fear, burnout, sensory and psychosocial problems. What this paper adds? Nurses experienced moderate burnout and resilience during the early stages of the COVID‐19 pandemic.A negative correlation was found between nurses' burnout and psychological resilience.The burnout levels of nurses who were not college graduates, who were dissatisfied with their jobs and who intended to leave their jobs were found to be high. The implications of this paper: Nurses were vulnerable to burnout due to increased workloads in the COVID‐19 crisis, increased shifts and the fear of infecting themselves and their families.It is necessary to increase the psychological resilience of nurses in order to provide the highest level of care to patients with COVID‐19.Nurse manager should focus on reducing burnout in their nursing teams by supporting the postgraduate education of nurses and reducing their workload. [ABSTRACT FROM AUTHOR]

Background: Instructional videos constitute a pivotal component in flipped learning. Despite their significance, there is a dearth of research specifically dedicated to instructional videos within the context of flipped classrooms. This paucity has led to an empirical void in verifying the efficacy of instructional videos in flipped learning environments. Objectives: The present study endeavours to contribute to the extant literature on flipped pedagogical practices by providing empirical evidence regarding the effectiveness of instructional videos in flipped learning environments. Methods: This study employs a convergent mixed‐methods design. Forty‐five instructional videos in three subtypes were administered in two classes over a 15‐week semester. Data, both quantitative (log data from the learning management system) and qualitative (from focus group discussions at two time points), were concurrently collected from a flipped class (n = 25) and a blended class (n = 28) with the aim of gauging student engagement and learning outcomes in the flipped class and understanding video‐viewing features typical of the flipped class. Results: Both datasets corroborated that participants in the flipped class outperformed their counterparts in the blended class in terms of video‐watching, peer interaction, knowledge retention, and transfer skills. Conclusions: The instructional videos within the flipped classroom setting serve to enhance student engagement in the learning process and improve learning outcomes. The efficacy of these instructional videos in flipped learning can be further augmented through strategic approaches in both their design and implementation. Lay Description: What is currently known about this topic: The flipping pedagogy is conducive to learning.Videos play a crucial role in flipped learning.Videos prepared students for classroom activities.However, engaging students with pre‐class videos presents a challenge. What this paper adds: This paper furnishes direct empirical evidence supporting the effectiveness of instructional videos in flipped learning.It uncovers factors affecting student engagement with videos in flipped learning.It offers insights into the design and implementation of videos in flipped learning. Implications for practice: Considering facilitating conditions and affective factors when creating videos.Acknowledging learner characteristics when designing videos.Utilizing instructional strategies when implementing videos. [ABSTRACT FROM AUTHOR]

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace‐based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self‐reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self‐efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self‐reports collected before the start of the MOOC offers better understanding of trace‐based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self‐reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow. Lay Description: What is already known about this topic: Researchers have made extensive use of data from online learning platforms—often referred to as learning trace data—to understand how learners engage in online learning activities.Surveys are often used to gather information about learners' motivation, perceptions, and other internal factors, to complement the insight gleaned from learning traces and thus create a more complete picture of the learning behaviour.When analysing survey data, the focus is usually on individual factors without considering how different factors are connected and affect one another.Psychological networks analysis is a novel analytic approach to studying complex phenomena both in psychology and education. What this paper adds: The paper uses psychological networks as a method for examining mutual relations among learners' internal factors (e.g., motivation, perceptions) measured through self‐reports before and after a course.By combining conventional statistical analysis of self‐reports with psychological networks analysis, the paper develops a comprehensive picture of learners' internal factors measured through self‐reports, one that accounts for both individual and interconnected nature of those factors.This comprehensive approach to information extraction from surveys allows for better understanding of trace‐based learner profiles, that is, profiles mined from data about learners' interaction with online learning activities. Implications for practice and/or policy: The presented method paves a way for a comprehensive analysis of the data collected from learners through surveys.It helps us gain a better understanding of learners' engagement with online learning activities.It can advance the evaluation of digital educational programs that aim to encourage changes in health‐related behaviour. [ABSTRACT FROM AUTHOR]

Background: Painting is the foundational expression across all art forms and is one of the key creative practices for fostering students' aesthetic ability and creativity within fine arts courses. Collaborative painting in the form of socially shared regulation of learning (SSRL) can be recognized as an effective strategy for enhancing creativity in both individual and group work. However, the absence of contextual experiences and collaborative spaces poses challenges for students in cultivating their creativity in painting. Objectives: The present study explores students' creativity, socially shared regulation (SSR) and positive painting behaviours using an SSRL‐based collaborative painting approach in the metaverse (Meta‐CP). Methods: Via a quasi‐experimental design, a total of 40 Chinese students in fifth grade were recruited and were randomly divided into an experimental group and a control group, with 20 students utilizing the Meta‐CP approach, while the remaining 20 students followed the conventional SSRL‐based paper‐and‐brush collaborative painting (C‐CP) approach. The Meta‐CP approach not only offers an authentic painting context and a collaborative space but also facilitates the collaborative process through the SSRL framework. The data collection included students' creative tendency, painting works and painting process. Results and Conclusions: The Meta‐CP approach effectively enhances students' creativity concerning adventure, curiosity and imagination, as well as results in the creation of more distinctive and logical artistic works. Furthermore, the approach significantly improved the quality of students' SSR. Additionally, students utilizing the Meta‐CP approach displayed more positive painting behaviours compared with those employing the C‐CP approach. Lay Description: What is already known about this topic:Collaborative painting is an effective strategy for enhancing creativity.Socially shared regulation of learning (SSRL) fosters collaborative learning.Students in collaborative painting may lack a contextual and synchronized painting space.The metaverse benefits in terms of contextual experiences and collaborative spaces. What this paper adds:Using an SSRL‐based collaborative painting approach in the metaverse (Meta‐CP) is effective in improving students' creativity.The Meta‐CP approach has the potential to improve students' quality of socially shared regulation (SSR), and positive painting behaviours. Implications for practice and/or policy:The metaverse provides an immersive synchronized painting space for art education to stimulate students' creative potential.The metaverse with proper learning strategies (e.g., SSRL) provides an effective collaborative learning environment for creation. [ABSTRACT FROM AUTHOR]

AbstractModern public transport systems are typically designed by following universal aspirations to predictability and standardisation. In the case of Santiago’s public transport, however, this design philosophy has often translated into concrete, practical struggles for users with more vulnerable corporealities. In analysing the case of a controversial turnstile installed in Santiago’s buses in 2016, this paper draws on video analysis to examine how passengers respond to, and locally deal with, its exclusionary design. Passengers’ interactions with this technology demonstrate how the turnstile is taken up as more than a mere sorting device, to become a matter of concern around mobility (in)justice. A detailed analysis of these interactions – through ethnomethodological analysis of video data – describes how passengers respond to the turnstile’s exclusionary design by deploying diverse embodied practices of care towards other users experiencing trouble with it. Such practices of care align with a grounded, embodied sense of mobility (in)justice as opposed to more abstract understandings of distributive justice. The paper concludes by discussing the potential forpublic transport systems to become more just and inclusive environments designed as infrastructures of care, whereby materialities may not only allow, but support, practices of care among users. [ABSTRACT FROM AUTHOR]

Healthcare is a vital part of a healthcare system, which is governed by a set of responsibilities and responsibilities. This paper explores the evolution of healthcare systems through the use of the Internet of Things (IoT) and telemedicine. The paper aims to identify areas for improvement and explore strategies to leverage network technologies to enhance healthcare offerings and outcomes. The data analysis technique used was thematic analysis. Thematic analysis identified and categorized key themes related to challenges and innovations in the collected studies. Telemedicine, supported by cloud computing, offers significant potential for improving healthcare delivery but faces challenges related to high assurance, interoperability, and storage adaptability. The development and use of telecommunications technology in healthcare require careful policy considerations to address the significant challenges in healthcare delivery. The research also explores how technology influences the development of healthcare delivery systems known for its efficiency, accessibility, and improved patient welfare. [ABSTRACT FROM AUTHOR]