Original Scale Research Articles

Validación transcultural al idioma español de la escala RosaQoL

IntroductionRosacea is a chronic disease negatively impacting the patients’ quality of life and mental health. The Rosacea Quality of Life (RosaQoL) scale could be a useful tool to monitor patients while on therapy vs rosacea, as it measures the impact on quality of life and helps individualize treatment to meet the patients’ needs. RosaQoL is a validated scale that can be completed within a few minutes. Materials and methodsThe original scale was translated and back translated by 2 native translators, with input from an expert committee when necessary. This version was tested on 21 patients to ensure proper understanding. Psychometric characteristics and validity were determined using various measures (sensitivity and specificity via ROC curve and internal consistency via Cronbach's alpha). The correlation between RosaQoL and SF-12 scales was assessed using Pearson correlation coefficients. ResultsA total of 531 participants responded to the scale (481 with rosacea and 50 controls). The scale demonstrated excellent sensitivity and specificity (ROC curve, 0.96; 95%CI, 0.92-0.99) and high internal consistency (Cronbach's alpha, 0.96). RosaQoL correlated with SF-12. A higher score on the RosaQoL scale was associated with worse quality of life in all dimensions of the SF-12 scale. ConclusionsThe Spanish version of the RosaQoL scale exhibits psychometric characteristics, which are similar to the original scale. Also, the RosaQoL scale is useful to assess the quality of life of patients with rosacea.

Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors

BackgroundSocial media has become an indispensable part of contemporary young people's lives, and the influence of social media on college students' eating and other health-related behaviors has become increasingly prominent. However, there is no assessment tool to determine the effects of social media on Chinese college students' eating behavior. This study aims to translate the Scale of Effects of Social Media on Eating Behaviour (SESMEB) into Chinese. Its applicability to Chinese college students was examined through reliability and validity indexes, and the influencing factors of SESMEB were explored.MethodsThe questionnaire survey included 2374 Chinese college students. The Brislin translation model was used to translate the original scale into Chinese. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the construct validity of the scale, and the content validity of the scale was assessed through the content validity index. The internal consistency of the scale was assessed by calculating Cronbach's alpha coefficient, McDonald's Omega coefficient, split-half reliability, and test–retest reliability. Multiple stepwise linear regression analysis was performed to identify potential influences on the effects of social media on eating behavior.ResultsEFA supported the one-factor structure, and the factor loadings of each item on this dimension were higher than 0.40. CFA showed good model fitness indexes. The content validity index of the scale was 0.94. The Cronbach's alpha coefficient and McDonald's Omega coefficient for the scale were 0.964, the split-half reliability coefficient was 0.953, and the test–retest reliability was 0.849. Gender, education, major, frequency of social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism explained 73.8% of the variance in the effects of social media on eating behavior.ConclusionsThe Chinese version of the SESMEB has good psychometric properties and is a valid measurement tool for assessing the effects of social media on college students' eating behavior. Subjects who were female, highly educated, non-medical, had frequent social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism used social media to have a higher impact on eating behavior.

한국판 심리적 유연성 척도의 타당화

Objectives The purpose of this study was to test the validity of the Korean version of the Personalized Psychological Flexibility Index(PPFI) developed by Todd B. Kashdan(2020).
 Methods An exploratory factor analysis was conducted on 300 adults, suggesting that the same three-factor model structure as the original scale was supported. As a result of conducting a confirmatory factor analysis on 228 adults, the model fit was good, confirming the structure of the three factors of the Korean version of psycho-logical flexibility scale.
 Results The Korean version of the Personalized Psychological Flexibility Index was positively correlated with psy-chological well-being, satisfaction with life, and meaning in life, and was negatively correlated with depression, anxiety and stress, verifying construct validity. In addition, a hierarchical regression analysis showed the in-cremental validity of the index, suggesting that the construct of psychological flexibility is well discriminated from the K-AAQ-Ⅱ.
 Conclusions These findings indicated that the Korean version of the Personalized Psychological Flexibility Index is a reliable and valid tool for measuring the concept of psychological flexibility. This study ends with a discussion of the implications, limitations and directions for future research.

한국형 성인 실행기능 척도 타당화

Objectives In this study, the adult executive functioning scale ADEXI(Adult Executive Functioning Inventory) de-veloped by Holst and Thorell (2017) was adapted and validated into Korean to measure the executive function ing of adults.
 Methods An executive functioning scale was selected through a review of previous research literature, permission to use the scale was obtained from the original author, and the Korean Adult Executive Functioning Scale (KADEXI) was constructed through translation and back-translation. Confirmatory factor analysis was conducted on 237 adults aged 19 or older.
 Results Confirmatory factor analysis was performed, and convergent and criterion validity were verified. The Korean adult executive functioning scale was ultimately composed of 14 items each for self-report and other-re-port, and the subfactors were 9 items for working memory and 5 items for inhibition, identical to the original scale. A test-retest performed 2 weeks later was found to be reliable.
 Conclusions By presenting specific difficulties in daily life through the validation of a Korean scale measuring adult executive functioning, it appears to be of great clinical utility in that it can provide guidance for therapeutic inter-vention and change. In addition, when implementing the executive functioning scale, cross-verification with self-report and meaningful other person's report can be used to ensure validity in identifying the degree of execu-tive functioning deficiency.

Psychometric Properties of the Swedish Version of the Compassion Scale

ObjectivesAn increased interest in the phenomenon and process of compassion, in both clinical and non-clinical psychological research, has been seen in recent decades. In these contexts, compassion is frequently understood as a felt response to the suffering of others that involves caring and seeing the universal nature of human suffering, as well as an authentic desire to ease the distress. Based on the above, the purpose of the study was to validate a Swedish translation of the Compassion Scale.MethodThe manuscript reports on the analyses of the factor structure, reliability, and convergent and discriminant validity of the developed scale using data from two samples (n = 1712 and n = 353) of Swedish adults, using confirmatory factor analysis and correlation analyses.ResultsThe results show that the translated scale had the same factor structure as the original scale, with four distinct but related factors relating to the aspects of “Kindness”, “Common humanity”, “Mindfulness”, and “Indifference”. In addition, the results indicate that the developed measure provided reliable scores, both for the entire scale and for the different subscales. In addition, the performed analyses indicate that the Swedish version of the Compassion Scale generally showed the expected relationship to related measures of personality and individual differences in empathic responding. Finally, the results supported the predictions that women would generally score higher than men on the Compassion Scale, and that compassion would have negative correlations with both age and average monthly income.ConclusionsIn conclusion, the performed studies provide support for the adequacy of the psychometric properties of the Swedish version of the Compassion Scale, as well as for its congruent and discriminative validity.

Introduction to qualification and validation of an immunoassay.

Immunoassays play an important role in drug development of products targeting the immune system. Consistent quality of the results from an immunoassay is essential to make unbiased and accurate claims about the drug product during preclinical and clinical development stages. Assay qualification and validation shed light on the performance of the assay. It is the first evaluation and the verification, respectively, of the assay's performance. This tutorial explains and illustrates the calculation methodology for important assay qualification parameters including precision, relative accuracy, linearity, the lower limit of quantification (LLOQ), the upper limit of quantification (ULOQ), the assay range and dilutability. This tutorial focuses on assays used for (pre-) clinical purposes, characterized by a lognormal distribution of the measurements on its original untransformed scale and by the lack of well characterized reference material. Statistical calculations are illustrated with qualification data from an enzyme-linked immunosorbent assay (ELISA) vaccine immunoassay.

Reliability Generalization Meta-Analysis of Seven Wisdom Self-Rating Scales From 2004 to 2023

Accurate measurement of wisdom is the cornerstone of wisdom research. To provide a representative reference for the reliability level and moderating factors of various wisdom self-rating scales, we carried out a reliability generalization meta-analysis of Chinese and English references retrieved from 2004 to 2023. A total of 149 articles were included, as well as seven wisdom self-rating scales. The results showed that all seven wisdom self-rating scales had good internal consistency reliability. The reliability of the original scale was higher than that of the simplified version, and the reliability of the total of the original scale was higher than those of each dimension. Future research should avoid “reliability introduction,” and rather focus on cross-cultural translation of the wisdom scale, selecting the most appropriate measurement tool for the particular field of wisdom, and strengthen theoretical interpretations by connotation and structure of wisdom itself.

Cross validation of the response bias scale and the response bias scale-19 in active-duty personnel: use on the MMPI-2-RF and MMPI-3

ABSTRACT The Response Bias Scale (RBS) is the central measure of cognitive over-reporting in the MMPI-family of instruments. Relative to other clinical populations, the research evaluating the detection of over-reporting is more limited in Veteran and Active-Duty personnel, which has produced some psychometric variability across studies. Some have suggested that the original scale construction methods resulted in items which negatively impact classification accuracy and in response crafted an abbreviated version of the RBS (RBS-19; Ratcliffe et al., 2022; Spencer et al., 2022). In addition, the most recent edition of the MMPI is based on new normative data, which impacts the ability to use existing literature to determine effective cut-scores for the RBS (despite all items having been retained across MMPI versions). To date, no published research exists for the MMPI-3 RBS. The current study examined the utility of the RBS and the RBS-19 in a sample of Active-Duty personnel (n = 186) referred for neuropsychological evaluation. Using performance validity tests as the study criterion, we found that the RBS-19 was generally equitably to RBS in classification. Correlations with other MMPI-2-RF over- and under-reporting symptom validity tests were slightly stronger for RBS-19. Implications and directions for research and practice with RBS/RBS-19 are discussed, along with implications for neuropsychological assessment and response validity theory.

Adult Attachment Questionnaire: evidence of validity in a sample of IPVAW offenders.

Adult attachment can be understood as a cognitive and emotional system concerning oneself and others, based on previous attachment experiences throughout life. This system automatically affects relationships with others. Because of its importance in the interpersonal domain, it has been studied on numerous occasions in research on intimate partner violence. The aim of this study was to obtain evidence of validity of the Adult Attachment Questionnaire (AAQ) in a sample of 331 men convicted of intimate partner violence against women (IPVAW). The AAQ assesses adult attachment style in four dimensions that, together, yield four attachment categories. A psychometric analysis was performed, including reliability analysis and confirmatory factor analysis of the items, which ratified the factorial structure of the questionnaire. For a correct fit of the model, it was necessary to eliminate 4 of the items from the original scale. A latent profile analysis was also carried out, which identified four attachment styles: secure, preoccupied/anxious, avoidant/dismissing and fearful. Reliability indices were adequate. In general, the attachment profiles obtained ranges and means similar to those found in the general population study. The distribution of attachment styles was not equal: 50.57% of the participants presented secure attachment, 4.57% avoidant/dismissing attachment, 36.9% preoccupied/anxious, and 8.57% fearful. In conclusion, a valid and reliable instrument was determined based on the original AAQ scale to measure attachment in men convicted of IPVAW.

Learning Spatio-Temporal Pulse Representation With Global-Local Interaction and Supervision for Remote Prediction of Heart Rate.

Recent studies have demonstrated the benefit of extracting and fusing pulse signals from multi-scale region-of-interests (ROIs). However, these methods suffer from heavy computational load. This paper aims to effectively utilize multi-scale rPPG features with a more compact architecture. Inspired by recent research works exploring two-path architecture that leverages global and local information with bidirectional bridge in between. This paper designs a novel architecture Global-Local Interaction and Supervision Network (GLISNet), which uses a local path to learn representations in the original scale and a global path to learn representations in the other scale capturing multi-scale information. A light-weight rPPG signal generation block is attached to the output of each path that maps the pulse representation to the pulse output. A hybrid loss function is utilized enabling the local and global representations to learn directly from the training data. Extensive experiments are conducted on two publicly available datasets, and results demonstrate that GLISNet achieves superior performance in terms of signal-to-noise ratio (SNR), mean absolute error (MAE), and root mean squared error (RMSE). In terms of SNR, GLISNet has an increase of 4.41% compared with the second best algorithm PhysNet on PURE dataset. The MAE has a decrease of 13.16% compared with the second best algorithm DeeprPPG on UBFC-rPPG dataset. The RMSE has a decrease of 26.29% compared with the second best algorithm PhysNet on UBFC-rPPG dataset. Experiments on MIHR dataset demonstrates the robustness of GLISNet under low-light environment.

Abstract WP70: Novel Weighted FANG-D Scale Scoring to Detect Large Vessel Occlusion

Objective: To determine if a novel weighted FANG-D scoring scale (NWFSS) increases sensitivity and specificity rates of large vessel occlusion (LVO) as compared to those reported with the original FANG-D scale scoring. Methodology: The present study used an observational, descriptive design to identify the important variables (field cut, aphasia, neglect, gaze preference, and dense hemiparesis) associated with the likelihood of detecting LVO. We used the FANG-D scale in patients admitted through the emergency department (ED) of a comprehensive stroke center (CSC), from December 2022 through April 2023. The NIHSS was performed and compared with the NWFSS for analysis. Each component was required to have a score ≥ 2(moderate to severe deficits) except dense hemiparesis which required a score ≥3 (significant weakness) to receive one point on the FANG-D scale. A total score of 2 or higher on FANG-D indicated a positive result suggesting LVO. If aphasia or neglect were present with a NIHSS of≥2, it was considered a positive FANG-D score. Results: A total of 311 patients were included in the study for analysis with a mean age of 67 ±16.4 years of whom 56.6% were female. The sensitivity and specificity rates were 85.7% (Confidence Interval (CI) =72.8%-94.1%) and 90.5% (CI= 86.2%-93.7%) respectively for positive predictive value of NWFSS to identify LVO. The sensitivity and specificity of the NIHSS has been reported as 86% and 60% respectively for LVO detection. The previous FANG-D study group used lower values in calculating the FANG-D scores and reported a sensitivity rate of 98% and specificity of 76.7%. Conclusion: The NWFSS has high specificity and is reliable for LVO prediction. While the NIHSS assesses eleven items sensitive for stroke diagnosis, it may take up to 10 minutes to complete and is not specific for LVO, whereas the FANG-D assesses 5items critical to LVO detection and is simple and fast with completion in <1 minute, minimizing time to intervention. Our study occurred in the ED, but this scale scoring method could be tested in the prehospital setting. The use of a scale with higher specificity for LVO could improve patient outcomes and resource utilization by faster routing of patients to CSCs capable of performing mechanical thrombectomy.

Adaptation of flexible thinking in learning scale to Turkish culture

This article aims to adapt the Flexible Thinking in Learning (FTL) scale developed by Barak and Levenberg in 2016 to Turkish culture The FTL scale, whose original language is English, consists of three sub-dimensions: “Acceptance of Learning Technologies”, “Open-Mindedness in Learning” and “Adaptation to New Learning Situations”. During the process, language and field experts conducted mutual translations between English and Turkish to assess the language equivalence of the scale. The original scale was supplied to English teachers to measure the degree of similarity between the original language (English version) and the translated language (Turkish version). After a fifteen-day interval, the same teachers were given the adapted version of the scale. The degree of similarity between the scale's original language and its Turkish translation was calculated. Once the scale’s harmony was deemed satisfactory in both languages, a pilot study was conducted to receive feedback and suggestions on the comprehensibility, applicability, and general structure of the scale. After necessary improvements were made, the scale was finalized. The Flexible Thinking in Learning (FTL) scale, which was adapted to Turkish, was applied to 516 volunteer teachers. As per the findings of the analysis, the adapted scale has three sub-dimensions, just like the original scale. The measured structure of the adapted scale was found to be consistent with the original scale’s factor structure.

Development and psychometric evaluation of an expanded urinary catheter self-management scale: A cross-sectional study.

To develop and test the psychometric properties of an expanded catheter self-management scale for patients with in-dwelling urinary catheters. A cross-sectional validation study. Despite the utility of the original 13-item catheter self-management scale, this instrument did not include bowel management, general hygiene and drainage bag care, which are fundamental skills in urinary catheter self-management to prevent common problems resulting in unnecessary hospital presentations. The expanded catheter self-management scale was developed with 10 additional items to comprehensively assess all five essential aspects of urinary catheter self-management. A total of 101 adult community-dwelling patients living with indwelling urinary catheters were recruited from Western Sydney, Australia. Using exploratory factor analysis with Varimax rotation, the number of factors to be extracted from the expanded 23-item expanded catheter self-management scale was determined using a scree plot. The reliability of the overall scale and subscales was measured using Cronbach's alpha. Convergent validity was assessed using Spearman's correlations between clinical characteristics, overall scale and subscales. The 23-item expanded catheter self-management scale yielded a 5-factor solution, labelled as: (i) self-monitoring of catheter function, (ii) proactive, help-seeking behaviour function, (iii) bowel self-care function, (iv) hygiene-related catheter site function and (v) drainage bag care function. Cronbach's alpha of the expanded catheter self-management scale indicating all 23 items contributed to the overall alpha value. Convergent validity results showed a negative correlation between the overall expanded catheter self-management scale and catheter-related problems. The 5-factor structure provided a comprehensive assessment of key aspects of urinary catheter self-management essential to reduce the likelihood of catheter-related hospital presentations. The expanded catheter self-management scale can be used to assess and monitor effective patient-centred interventions for optimal self-management to prevent catheter-related problems and improve the quality of life of patients. Many patients start their journey of living with a urinary catheter unexpectedly and are not supported with quality information to care for their catheter. The findings of this study show the correlation between catheter self-management skills and catheter-related problems. The expanded catheter self-management scale (E-CSM) assists with analysing the self-management skills of patients living with a catheter and developing tailored interventions to prevent problems and improve their quality of life. In addition, this screening tool can be included in policies, guidelines, and care plans as a standard for improving catheter management and developing educational resources for patients. STROBE checklist was used to report all aspects of this study comprehensively and accurately. Patients living with indwelling urinary catheter and their carers have participated in surveys, interviews and co-designing interventions. This paper reports the psychometric analysis of the expanded catheter self-management scale (E-CSM) used in the patient survey as part of the main study 'Improving Quality of Life of Patients Living with Indwelling Urinary Catheters: IQ-IDC Study' (Alex etal. in Collegian, 29:405-413, 2021). We greatly value our consumers' contributions and continue to communicate the progress of the study to them. Their contributions will be acknowledged in all publications and presentations. In addition, all participants will be provided the option of receiving the interventions and publications generated from this study.

A distribution-free phase II control chart for multivariate individual data with simple post signal diagnostics

Multivariate statistical process control (MSPC) charts are particularly useful when there is a need to simultaneously monitor several quality characteristics of a process. Most of the control charts in MSPC assume that the quality characteristics follow some parametric multivariate distribution, such as the normal. This assumption is almost impossible to be justified in practice. Distribution-free MSPC charts are attractive, as they can overcome this hurdle by guaranteeing a stable (or in-control (IC)) performance of the control chart without the assumption of a parametric multivariate process distribution. Utilizing an existing distribution-free multivariate tolerance interval, we propose a Phase II Shewhart-type distribution-free MSPC chart for individual observations, with control limits based on Phase I order statistics. In addition to being easy to interpret, the proposed chart preserves the original scale of measurements and can easily identify out-of-control variables after a signal. The exact in-control performance based on the conditional and unconditional perspectives is presented and examined along with the control limits determination. The out-of-control performance of the chart is studied by simulation for data from a number of multivariate distributions. Illustrative examples are provided for chart implementation, using both real and simulated data, along with a summary and conclusions.

The association between Long-COVID symptomology, perceived symptom burden and mental health in COVID-19 patients in Shijiazhuang, China: a population-based health survey.

Long-COVID (LC) refers to post-acute COVID-19 symptoms that can last for months or longer after the initial infection, affecting the physical health of infected patients. This study aims to investigate the association between the symptomology of LC and the mental health of patients in China. It also aims to examine the relationship between the perceived symptom burden and mental health of these patients. A population-based stratified cluster sample was recruited, using a standard sampling procedure, from a prefecture-level city in Northern China. Participants included patients who had tested positive for COVID-19 after December 2022. LC symptomology was assessed using a LC symptoms checklist where the perceived symptom burden was measured by the included 5-point Likert scales. Mental health of patients was measured using the Depression, Anxiety, and Stress Scale (DASS), the original Connor-Davidson Resilience Scale (CD-RISC), and the Duke-UNC Functional Social Support Questionnaire (DUFSS). Data were analysed using multiple linear regression models. About 25% of respondents, experienced COVID symptoms lasting longer than two months that could only be explained by the infection. Post-exertional malaise (22.2%) and fatigue (21.2%) were the most common symptoms. After controlling for potential confounding variables, LC symptomology was significantly and positively associated with depression (t=2.09, p=0.037) and anxiety (t=4.51, p<0.001), but not stress. Perceived symptoms burden was also positively and significantly related to depression (β=0.35, p<0.001), anxiety (β=0.54, p<0.001), and stress (β=0.35, p<0.001), suggesting a dose-response relationship between perceived symptom burden and mental ill health. This study highlights the importance of recognising the risk of LC, patients' perception of the symptom burden and its potential impact on mental health. Healthcare professionals should be aware of the complexity of psychological comorbidities among infected patients reporting prolonged symptoms, and be able to give advice regarding long-term management of the symptoms.

On Diagnostics in Bell--Touchard Regression Models

The Bell--Touchard regression model for count response variables was introduced recently in the statistical literature. This regression model for counts is, in some aspects, similar to the generalized linear model framework, and the mean response is related to covariates and unknown regression coefficients, which allows for parameter interpretation in terms of the response variable in its original scale. However, diagnostic methods for this class of regression models were not developed. In this paper, we fill this gap and propose a variety of diagnostic tools, such as leverage measures, global influence, normal curvatures of local influence under some perturbation schemes, and Pearson residuals. All diagnostic measures developed are applied in a real data set to analyze the fitted Bell--Touchard regression model in practice.

The Validation of the Speech, Spatial and Qualities of Hearing Scale SSQ12 for Native Romanian Speakers with and without Hearing Impairment.

The perceived impact of hearing loss varies considerably among those affected due to the heterogeneous types of hearing loss, their diverse etiologies, and the different rehabilitation possibilities. Therefore, assessing listening skills in a daily context using questionnaires is essential. This study aimed to investigate the validity and reliability of the adapted version of the Speech, Spatial and Qualities of Hearing Scale 12 (SSQ12) in the Romanian language. The SSQ12 is a 12-item self-reporting questionnaire that assesses a range of everyday listening situations. The internal consistency, test-retest reliability, and validity of the r-SSQ12 questionnaire resulting from the adaptation of the original scale were investigated. The responses of 183 subjects aged between 11 and 79 years were evaluated. In total, 121 subjects had hearing loss (19 adolescents), and 62 subjects had normal hearing (11 adolescents). Significant differences were observed in the means of the overall score and for individual items between normal-hearing subjects and subjects with hearing loss. The SSQ12 had high internal consistency (Cronbach's alpha = 0.97), and the test-retest scores were highly correlated. The SSQ12 scale can be used to investigate the self-reporting of hearing quality in both general populations to identify hearing disorders and populations with hearing loss.

A Comprehensive Assessment of the Pansharpening of the Nighttime Light Imagery of the Glimmer Imager of the Sustainable Development Science Satellite 1

The Sustainable Development Science Satellite 1 (SDGSAT-1) satellite, launched in November 2021, is dedicated to providing data detailing the “traces of human activities” for the implementation of the United Union’s 2030 Agenda for Sustainable Development and global scientific research. The glimmer imager (GI) that is equipped on SDGSAT-1 can provide nighttime light (NL) data with a 10 m panchromatic (PAN) band and red, green, and blue (RGB) bands of 40 m resolution, which can be used for a wide range of applications, such as in urban expansion, population studies of cities, and economics of cities, as well as nighttime aerosol thickness monitoring. The 10 m PAN band can be fused with the 40 m RGB bands to obtain a 10 m RGB NL image, which can be used to identify the intensity and type of night lights and the spatial distribution of road networks and to improve the monitoring accuracy of sustainable development goal (SDG) indicators related to city developments. Existing remote sensing image fusion algorithms are mainly developed for daytime optical remote sensing images. Compared with daytime optical remote sensing images, NL images are characterized by a large amount of dark (low-value) pixels and high background noises. To investigate whether daytime optical image fusion algorithms are suitable for the fusion of GI NL images and which image fusion algorithms are the best choice for GI images, this study conducted a comprehensive evaluation of thirteen state-of-the-art pansharpening algorithms in terms of quantitative indicators and visual inspection using four GI NL datasets. The results showed that PanNet, GLP_HPM, GSA, and HR outperformed the other methods and provided stable performances among the four datasets. Specifically, PanNet offered UIQI values ranging from 0.907 to 0.952 for the four datasets, whereas GSA, HR, and GLP_HPM provided UIQI values ranging from 0.770 to 0.856. The three methods based on convolutional neural networks achieved more robust and better visual effects than the methods using multiresolution analysis at the original scale. According to the experimental results, PanNet shows great potential in the fusion of SDGSAT-1 GI imagery due to its robust performance and relatively short training time. The quality metrics generated at the degraded scale were highly consistent with visual inspection, but those used at the original scale were inconsistent with visual inspection.

Assessing and enhancing the applicability of standard effective temperature in outdoor thermal sensation prediction for continental climates

Accurate thermal sensation prediction is crucial for assessing outdoor thermal environments. This study aims to enhance the applicability of the standard effective temperature (SET*) in continental climates for a more comprehensive evaluation of outdoor thermal comfort. Taking Zhengzhou, China as an exemplar, a comprehensive 12-day survey involving questionnaire surveys and microclimatic measurements was conducted in residential communities during the summer, autumn, and winter seasons. Based on this, the relationship between the SET* and thermal sensation was explored. Furthermore, the SET*-original thermal sensation scale was modified using linear and probit regression, and the accuracy of modified scale was assessed using predicted accuracy percentage (PAP) and mean absolute error (MAE). The results indicated that the SET*-original scale performs poorly in predicting thermal sensation in continental climates (P = 27.3 %, MAE = 1.24). The modified scale using probit regression model was better suited for continental climates (P = 39.5 %, MAE = 0.87). It outperformed the modified scale obtained through a linear regression model, with PAP increasing by 5.9 % and MAE decreasing by 0.04. The SET*-modified scale extended thresholds at the colder end and significantly enhanced predictive accuracy for colder conditions, making it more suitable for predicting thermal perception in continental climates.

Leading effect for wind turbine wake models

As wind energy expands worldwide, the demand of reliable, fast, cost-efficient wind turbine wake models is growing. This is a significant challenge as wind turbines face various inflow conditions that include turbulence, inhomogeneities/instationarities and upstream wakes. In consequence, an enormous number of engineering models, each one based on different physical concepts, has been proposed. The majority focuses on the far wake where the mean velocity recovers and turbulence decays after it built up. We argue that the most important, or the leading, parameter for wake modeling is the length scale of a virtual origin. Testing different models from the literature for data sets from laboratory wind turbines and multi-megawatt turbines obtained by LiDAR, we find that all models perform significantly better when such a virtual origin is added. Our results can therefore be used for a yet missing definition of a near wake zone.