In one-dimensional disordered wires electronic states are localized at any energy. Correlations of the states at close positive energies and the AC conductivity \sigma(\omega) in the limit of small frequency are described by the Mott-Berezinskii theory. We revisit the instanton approach to the statistics of wave functions and AC transport valid in the tails of the spectrum (large negative energies). Applying our recent results on functional determinants, we calculate exactly the integral over Gaussian fluctuations around the exact two-instanton saddle point. We derive correlators of wave functions at different energies beyond the leading order in the energy difference. This allows us to calculate corrections to the Mott-Berezinskii law (the leading small-frequency asymptotic behavior of \sigma(\omega)) which approximate the exact result in a broad range of \omega. We compare our results with the ones obtained for positive energies.
DOCUMENT
The aim of this study was to understand the motives for using the Internet, and its associations with users' attitudes, social values, and relational involvement. Also, this study attempted to crossculturally compare the difference in the pattern of motives and the associations among three countries ' the US, the Netherlands, and S. Korea. The design of methods was based on examination and revision of uses and gratification approach toward Internet users. Findings from factor analysis revealed that information seeking and Self-Improvement were the dominant and common reasons for using the Internet across three countries. The differences in the composition of motives in each country were also reported. Strong correlations across countries were found between all the motives and satisfaction of the Internet. Expectation and positive evaluation of the Internet were also important attitudes associated with Internet use motives. Postmaterialist value showed strong association with motives of information seeking and Self-Improvement. Community involvement was significantly associated with Internet use motives in Korean users.
DOCUMENT
During recent years the world has seen rapid changes such as globalization, the Internet, and the rise of new economies. To survive these changes organizations need to be in control of their processes, and be able to continuously improve the process performance. Therefore many organizations are increasingly adopting Business Process Management (BPM). However, it is not clear if the implementation of BPM(S) is really adding value to an organization. Consequently, in this paper, we try to answer the following research question: 'Does adoption of Business Process Management lead to a higher process performance?' Based on quantitative research we show that there is dependence between the performance of processes within an organization and the BPM maturity of that organization. As a result we conclude that improvement in process performance can be attained by increasing the BPM maturity of an organization.
DOCUMENT
Background: Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation was carried out for five modeling strategies for the prediction of the disability of community-dwelling older people in the Netherlands. Methods: We analyzed data from five studies consisting of community-dwelling older people in the Netherlands. For the prediction of the total disability score as measured with the Groningen Activity Restriction Scale (GARS), we used fourteen predictors as measured with the Tilburg Frailty Indicator (TFI). Both the TFI and the GARS are self-report questionnaires. For the modeling, five statistical modeling techniques were evaluated: general linear model (GLM), support vector machine (SVM), neural net (NN), recursive partitioning (RP), and random forest (RF). Each model was developed on one of the five data sets and then applied to each of the four remaining data sets. We assessed the performance of the models with calibration characteristics, the correlation coefficient, and the root of the mean squared error. Results: The models GLM, SVM, RP, and RF showed satisfactory performance characteristics when validated on the validation data sets. All models showed poor performance characteristics for the deviating data set both for development and validation due to the deviating baseline characteristics compared to those of the other data sets. Conclusion: The performance of four models (GLM, SVM, RP, RF) on the development data sets was satisfactory. This was also the case for the validation data sets, except when these models were developed on the deviating data set. The NN models showed a much worse performance on the validation data sets than on the development data sets.
DOCUMENT
Abstract: Research in higher education has revealed a significant connection between executive functions (EFs) and study success. Previous investigations have typically assessed EFs using either neuropsychological tasks, which provide direct and objective measures of core EFs components such as inhibition, working memory, and cognitive flexibility, or self-report questionnaires, which offer indirect and subjective assessments. However, studies rarely utilize both assessment methods simultaneously despite their potential to offer complementary insights into EFs. This study aims to evaluate the predictive capabilities of performance-based and self-reported EFs measures on study success. Employing a retrospective cohort design, 748 first-year Applied Psychology students completed performance-based and self-report questionnaires to assess EFs. Maximum likelihood correlations were computed for 474 students, with data from 562-586 first-year students subsequently subjected to hierarchical regression analysis, accommodating pairwise missing values. Our results demonstrate minimal overlap between performance-based and self-reported EFs measures. Additionally, the model incorporating self-reported EFs accounted for 13% of the variance in study success after one year, with the inclusion of performance-based EFs raising this proportion to 16%. Self-reported EFs assessments modestly predict study success. However, monitoring levels of self-reported EFs could offer valuable insights for students and educational institutions, given that EFs play a crucial role in learning. Additionally, one in five students reports experiencing significant EFs difficulties, highlighting the importance of addressing EFs concerns for learning and study success.
MULTIFILE
This paper outlines an investigation into the updating of fatigue reliability through inspection data by means of structural correlation. The proposed methodology is based on the random nature of fatigue fracture growth and the probability of damage detection and introduces a direct link between predicted crack size and inspection results. A distinct focus is applied on opportunities for utilizing inspection information for the updating of both inspected and uninspected (or uninspectable) locations.
DOCUMENT
Abstract: Clinicians find it challenging to engage with patients who engage in self-harm. Improving the self-efficacy of professionals who treat self-harm patients may be an important step toward accomplishing better treatment of self-harm. However, there is no instrument available that assesses the self-efficacy of clinicians dealing with self-harm. The aim of this study is to describe the development and validation of the Self-Efficacy in Dealing with Self-Harm Questionnaire (SEDSHQ). This study tests the questionnaire’s feasibility, test-retest reliability, internal consistency, content validity, construct validity (factor analysis and convergent validity) and sensitivity to change. The Self-Efficacy in Dealing with Self-Harm Questionnaire is a 27-item instrument which has a 3-factor structure, as found in confirmatory factor analysis. Testing revealed high content validity, significant correlation with a subscale of the Attitude Towards Deliberate Self-Harm Questionnaire (ADSHQ), satisfactory test-retest correlation and a Cronbach’s alpha of 0.95. Additionally, the questionnaire was able to measure significant changes after an intervention took place, indicating sensitivity to change. We conclude that the present study indicates that the Self-Efficacy in Dealing with Self-Harm Questionnaire is a valid and reliable instrument for assessing the level of self-efficacy in response to self-harm.
DOCUMENT
Sicca syndrome (dry mouth and dry eyes) occurs predominantly due to the side effects of medication, systemic diseases (Sjögren’s disease), and radiotherapy of the head and neck region. Sicca complaints decrease the quality of life, cause sleep disturbances, and affect overall health. This systematic literature review investigates the correlation and/or association between dry mouth and dry eyes. A comprehensive search was conducted through PubMed and Web of Science databases up to November 2024. English-language research studies investigating the association and/or correlation between dry mouth and dry eyes were included. Study quality was assessed using NIH quality assessment tools. Data on publication details, participant characteristics, assessment methods, and outcomes was extracted and synthesised based on the type of outcome (objective and/or subjective assessments) and cohort type.
MULTIFILE
This research investigates the potential and challenges of using artificial intelligence, specifically the ChatGPT-4 model developed by OpenAI, in grading and providing feedback in an educational setting. By comparing the grading of a human lecturer and ChatGPT-4 in an experiment with 105 students, our study found a strong positive correlation between the scores given by both, despite some mismatches. In addition, we observed that ChatGPT-4's feedback was effectively personalized and understandable for students, contributing to their learning experience. While our findings suggest that AI technologies like ChatGPT-4 can significantly speed up the grading process and enhance feedback provision, the implementation of these systems should be thoughtfully considered. With further research and development, AI can potentially become a valuable tool to support teaching and learning in education. https://saiconference.com/FICC
DOCUMENT
