Interscale Correlations Research Articles

A robust image descriptor-local radial grouped invariant order pattern

Sorted-based LBP variants have been validated as effective grayscale inverse image classification methods. However, most of these methods encode the order of sampling points at the same scale and thus suffer from two problems: 1) Ignoring inter-scale correlation leads to descriptors that are not resistant to real scene changes. 2) The inherent flaws of sorted encoding cause descriptors to discriminate complex texture structures, showing low discriminability. To address these problems, we design the new scale-structure model and region encoding to realize a more robust and discriminative representation called Local Radial Grouped Invariant Order Pattern (LRGIOP). LRGIOP can effectively distinguish texture details in real scenes while resisting various complex imaging conditions. Experiments on several image databases show that the LRGIOP descriptor achieves state-of-the-art classification results under linear or even nonlinear grayscale-inversion transformations.

A multi-scale uncertainty quantification model encompassing minimum-size unit cells for effective properties of plain woven composites

The uncertainty quantification is crucial to the high-precision prediction of composites’ effective properties. However, the unclear input uncertainties of multiscale parameters, complex uncertainty propagations of inter-scale correlations, and unaffordable computational cost of massive simulations are three primary problems at present. In this work, an innovative model with high accuracy and feasible cost for the mechanical property prediction of plain woven composites is developed encompassing minimum-size unit cells and multi-scale uncertainty quantification. For the accuracy holding, an uncertainty analysis process consists of the traceability description, inter-scale propagation and quantification is established. The uncertainties of geometry are described by uniform distributions for fiber, fiber bundle and composite scales, respectively; that of constituent properties is described by normal distributions for fiber and matrix, and its propagations to bundle and composite scales are realized by Nataf transformation methods with the consideration of parameter correlations. For the cost control, minimum-size unit cells are formulated by exhaustive analysis of structural symmetries to reduce the computational cost without accuracy compromising for the single simulation, and 1/8 and 1/16 unit cells compared with traditional full-size ones are obtained. The evolution convergence for statistical uncertainties of effective properties is finally obtained with totally reduced computational cost of 89%.

The psychometric properties of Chinese version of the Gilles de la Tourette syndrome-quality of life scale (GTS-QOL) for children and adolescents

BackgroundGilles de la Tourette syndrome (GTS) is a persistent neurological disorder that profoundly affects the quality of life for afflicted individuals, however, tailored health-related quality of life (QOL) measures for Chinese pediatric GTS patients are lacking. This pioneering study aims to develop a QOL scale for Chinese children with GTS.MethodsA cohort of 1,121 children (aged 6–16 years) diagnosed with GTS participated in scale development. Internal consistency was evaluated using Cronbach’s alpha. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to assess the factor structure of the GTS-QOL-Chinese, examining goodness-of-fit indices, factor loadings of individual items, and covariances between factors. Validity was determined through interscale correlations and comparisons with external measures to establish convergent and discriminant validity.ResultsFollowing reliability and validity analyses, a Chinese version of the 24-item GTS-specific quality of life scale was conclusively established, encompassing five subscales (psychological, compulsive, cognitive, physical, social). The scale demonstrated high internal consistency with a Cronbach’s alpha coefficient of 0.93, and validity was substantiated through interscale correlations ranging from 0.46 to 0.68. EFA identified five factors, explaining 61.26% of the total variation. CFA further confirmed the scale’s robustness, with all goodness-of-fit indicators meeting acceptable criteria (AGFI = 0.86, PCFI = 0.78, GFI = 0.89, CFI = 0.89, RMSEA = 0.07, SRMR = 0.06).ConclusionsThe Chinese version of the GTS-QOL scale has exhibits robust reliability and validity and is valuable for assessing the quality of life of Chinese children and adolescents with GTS. This scale may assist in tailoring interventions and improving patient care.

Validation of dementia care-related scales among informal caregivers of Latinos with dementia or mild cognitive impairment.

To test the psychometric properties of several dementia care-related scales among Latinos in the US. We leveraged secondary baseline data from a one-arm mHealth trial on dementia caregiver support. We included 100 responses for caregiver-focused scales and 88 responses for care recipient-focused scales. Scales included the Neuropsychiatric Inventory Questionnaire Severity and Distress scales, six-item Zarit Burden Inventory, Ten-item Center for Epidemiologic Studies Depression Scale, Geriatric Depression Inventory, Quality of Life in Alzheimer's Disease, and Single-item Satisfaction With Life Scale. We calculated concurrent validity using Pearson and Spearman correlations and expected correlations amongst all variables in line with the Stress Process Framework. We calculated internal consistency reliability using Cronbach's alpha. All concurrent validity correlations followed the expected directionality, with 19/21 inter-scale correlations in the total sample reaching statistical significance (p<0.05), and 17/21 reaching at least a low correlation (0.3). Cronbach's alpha ranged from 0.832 to 0.879 in all scales in the total sample. The English and Spanish caregiver-administered scales tested in this manuscript have good psychometric properties. The dementia care-related scales are now appropriately available for use among US Latinos in research and clinical contexts.

Reliability, validity, and sensitivity testing of the expanded prostate index composite—Filipino version

Objectives The expanded prostate index composite (EPIC) is a widely used and well-validated quality of life (QOL) tool for prostate cancer patients. We developed a filipino version (EPIC-F) and tested its psychometric properties. Material and Methods The EPIC-F and validated filipino versions of the international prostate symptoms score (IPSS), international index of erectile function-5 (IIEF-5), and european organisation for research and treatment of cancer (EORTC) prostate cancer module (PR-25) were administered to patients with nonmetastatic prostate cancer at baseline, 10–14 days later and after ≥15 radiotherapy (RT) sessions. Cronbach’s α, pearson correlation, and linear regression were used for reliability, validity, and sensitivity analyses. Alpha was set at p &lt; 0.05. Results The validation cohort comprised 52 patients aged 54–86 years (70.10 ± 6.9), with stage I (21%), II (27%), III (33%), or IVA (19%) disease. At enrolment, 38% had prior surgery; 19% had prior RT and 81% were to undergo RT; and 31% were on hormonotherapy. Internal consistency was good to very good for all domains (Cronbach’s α, 0.783–0.866). Test-retest reliability was moderate for all domains (Pearson’s r, 0.509–0.688), except for the hormonal domain (low r, 0.369). Interscale correlation was moderate to high between each domain and its corresponding reference scale (r, 0.551–0.834), except between the bowel domain and the PR-25 bowel (low r, 0.457). Sensitivity testing showed a strong r2 (0.311) for the bowel domain, but weak for the rest. Conclusion The EPIC-F is a reliable, valid, and sensitive tool for assessing the QOL of filipino prostate cancer patients.

Measuring Children's Reward and Punishment Sensitivity: An Initial Psychometric Evaluation of the Contingency Response Rating Scale.

Existing research shows that children's responses to rewards and punishments are essential for understanding attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder, and callous-unemotional traits. The present study developed the Contingency Response Rating Scale (CRRS) to fulfill the need for a reliable and valid measure of children's contingency response style that is brief, easy to use in applied settings, and provides additional information to existing clinical measures. We examined the psychometric properties of the CRRS in a sample of 196 children (ages 5-12), most of whom were referred to evaluate attention and behavior problems in an outpatient clinic. Using principal axis factoring, we identified five factors: (a) punishment ineffectiveness, (b) reward ineffectiveness, (c) punishment dysregulation, (d) reward dysregulation, and (e) contingency insensitivity. The subscales based on these factors showed acceptable test-retest and internal consistency reliability, and scale intercorrelations varied from low to moderate. The subscales also captured significant variance not explained by child or parent demographics and were associated with measures of psychopathology and impairment. The results provide preliminary evidence that the CRRS may be a helpful tool for assessing reward and punishment sensitivity in children with attention and behavior problems.

Suggestibility Among the Indian Youth – A Validation Study of Multidimensional Iowa Suggestibility Scale

Suggestibility is one of the personality traits. The ability to accept signals from oneself, another person, or any type of media without feeling obligated to do so, including messages concerning physiological feelings, is referred to as suggestibility. It varies from compliance in that it requires the internalisation of a message rather than just a behavioural change. The study aims to validate the Multidimensional Iowa suggestibility Scale (MISS) developed by Dr Roman Kotov on Indian youth for future use and application. The study’s hypothesis is that the scale will be highly reliable and valid for the Indian population. The original scale established by Dr Roman Kotov consisted of 95 items to be responded to by choosing the appropriate option from five given, which was given to an Indian sample of 510 individuals. The scale includes five suggestibility subscales and two companion scales. To check the validity, inter-scale correlation and reliability was performed. The results have been positive, with high correlations among the subscales, which suggests further future use. MISS, consisting of five subscales of suggestibility and a Short Suggestibility Scale, has been validated and can be used on the Indian population.

Turkish reliability and validity study of Barkley’s BAARS-IV self-report current symptoms

ObjectiveRecall bias of patients and their relatives, low reliability of the history, changes in attention deficit hyperactivity disorder (ADHD) symptoms or compensatory behaviors, and various comorbidities may be associated with difficulties in diagnosing ADHD in adults. Barkley Adult Attention Deficit Hyperactivity Disorder Rating Scale-IV (BAARS-IV), a relatively new scale, needs to be studied for validity and reliability in different societies and cultures. In this study, we investigated whether the Turkish version of BAARS-IV: Present Symptoms Section is valid and reliable in the medical students who constituted the sample.MethodsAdult Attention Deficit Hyperactivity Disorder Self-Report Scale and BAARS-IV: Present Symptoms Section were administered to 402 fifth- and sixth-year medical students. We performed exploratory and confirmatory factor analyzes. Cronbach’s alpha and inter-item correlation were evaluated. Pearson correlation test was used in inter-scale correlation analyses.ResultsFor ADHD items, Kaiser-Meyer-Olkin (KMO) (0.882), Measuring of Sampling Adequacy MSA (0.819), chi-square (2512.455), and p (< 0.001) values showed that the data were suitable for factor analysis. A three-factor structure with an eigenvalue above 1 and explaining 53.14% of the total variance was obtained. In the correlation matrix reconstructed with eight Sluggish Cognitive Tempo (SCT) items, the determinant of the correlation matrix was 0.025, the KMO determinant was 0.852, the lowest MSA value was 0.750, and the residual rate was 14%. A two-factor structure was obtained explaining 67.451% of the variance. Cronbach’s alpha values of the inattention and impulsivity subscales were 0.839 and 0.752, respectively. Cronbach’s alpha value of 8 questions in the SCT scale was found to be 0.871.ConclusionThe results of our study indicate that the BAARS-IV Self-report Present Symptoms scale is valid and reliable among medical students.

Preliminary validity testing of the eHealth Literacy Questionnaire (eHLQ): a Confirmatory Factor Analysis (CFA) in Norwegian hospitalized patients

AimsTo perform the first psychometric analysis of the Norwegian version of the eHLQ using confirmative factor analysis (CFA) procedures in a population of patients admitted to hospital using a cross-sectional design. The eHLQ consists of 35 items capturing the 7-dimensional eHealth Literacy Framework (eHLF) which describes users' attributes, user's interaction with technologies and user's experience with digital health systems.MethodsThe 7 independent scales of the eHLQ was translated from Danish and culturally adapted into the Norwegian language following a standardised protocol. Assessment of construct validity of the eHLQ was undertaken using data from a cross-sectional survey of 260 patients hospitalized at a Norwegian University Hospital in the Oslo area during a two-week period in June 2021. The analysis included using correlation analysis (Pearsons R), internal consistency (Cronbach’s alpha) and confirmatory factor analysis (CFA).ResultsAll factor loadings were high to acceptable (i.e. > 0.6), except for five items which had somewhat lower loadings. Regarding internal consistency, alpha ranged from 0.73 to 0.90. For optimal CFA fit for the different scale models, correlated residuals were required for five of the seven scales. Overall our analysis shows an intermediate fit of the orginal construct. Scale intercorrelations were all below 0.8, indicating an overall acceptable discriminant validity between the 7 dimensions.ConclusionsThe results from the CFA analysis indicate that for almost all 7 eHLQ scales, an acceptable model fit was achieved. The 260 hospitalized patients included in this study represented a variety of diagnoses, recruited from a geographically limited area. Further studies on psychometric properties of the Norwegian version of eHLQ in larger samples, diverse settings and by using more comprehensive approaches are warranted.

Testing the three hypotheses about the relationships between ability and personality: 25 years later

Utilizing responses given by 6256 applicants to teacher training studies at several Austrian colleges and universities, this study attempts to replicate the three tests by Austin et al. (1997) examining the possible relationships between intelligence and personality. The results did not support the Differentiation of Personality by Intelligence Hypothesis as individuals who scored higher in intelligence were not consistently more variable in their personality responses. The results did provide support for the Differentiation of Intelligence by Neuroticism Hypothesis as individuals who scored higher in neuroticism had higher inter-scale correlations for the intelligence measure. In addition, the results also demonstrated that inter-scale correlations for personality scales were higher for those who scored lower in intelligence, suggesting that intelligence can impact the structure of multiscale personality measures. The limitations and future directions are discussed.

Further assessment of the employability-inventory in a sample of dual study graduates

This study used confirmatory factor analyses and descriptive statistics on new data from 345 dual study graduates in Germany to further assess a newly developed and recently published self-report inventory of employability. The resulting 19-item inventory showed a good model fit and factorial validity, with small to medium interscale correlations. This provides a solid base for further research and a targeted tool for assessing dual study graduates’ employability. Limitations and future research scope are discussed.

A cross-cultural translation and validation of the Korean version of checklist individual strength (CIS) in the Korean working age population

Checklist Individual Strength (CIS) is a widely used questionnaire to measure a level of the chronic fatigue syndrome. The purpose of this study was to translate CIS into Korean and evaluate the reliability and validity of a Korean version of CIS (K–CIS) for the Korean working age population. In the first experimentation of the study, four bilingual translators participated to translate CIS using a cross-cultural translation method. Then, a concurrent validity of K–CIS with the original CIS was evaluated by 28 bilingual participants. With a statistical analysis, it was confirmed that K–CIS and CIS were linguistically equivalent. In the second experimentation, 172 participants from various universities, industries, and small businesses assessed K–CIS along with two other representative fatigue questionnaires such as mKCFQ11 and SF-36. Our result of the statistical analysis using Cronbach's α, confirmatory factor analysis, inter-scale correlation, and correlation with other questionnaires showed that K–CIS was a valid fatigue questionnaire. Therefore, we conclude that K–CIS can be an effective tool to evaluate a severity of fatigue in the Korean working age population.

Assessment of the mind-body connection: preliminary psychometric evidence for a new self-report questionnaire

ObjectivesWhile interoceptive self-report scales provide a foundation for measuring the mind-body connection, they variably consider other important factors that could influence interpretations of internal bodily sensations and perceptions related to mind-body integration. The proposed Body-Mind Connection Questionnaire (BMCQ) aimed to operationalise the notion that this construct involves three major components: (a) Interoceptive Attention, (b) Sensation-Emotion Articulation, and (c) Body-Mind Values.MethodsFollowing panel review and piloting with the target population, the developed BMCQ was evaluated in 316 participants (189 identifying as female) aged 18-50 (MAge=30.78), alongside established self-report measures of interoceptive sensibility, body awareness, sensory processing sensitivity, and alexithymia. We examined the BMCQ factor structure through exploratory factor analysis and analysed convergent and discriminant validity.ResultsExploratory factor analysis supported three scales of the BMCQ, which explained 54.03% of variance. Factor loadings (>0.44) and reliability indices (0.74 to 0.85) were acceptable. Inter-scale correlations suggested that the scales are distinct but related (rs=0.38 to 0.59). BMCQ scales were supported by convergent (r=0.33 to 0.67) and discriminant evidence (rs=0.01 to 0.39, p range n.s. to <.05).ConclusionsPreliminary psychometric properties indicate that the BMCQ is multidimensional and consists of three constructs that differentially relate to theoretically associated measures. Interoceptive Attention, Sensation-Emotion Articulation, and Body-Mind Values may serve as a basis for efficiently assessing the mind-body connection more holistically, which could be useful for developing interventions aimed at enhancing mind-body integration.

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.

Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross-sectional areas of glomeruli can be 64 times larger than that of the peritubular capillaries, making it impractical to segment both objects on the same patch, at the same scale. To handle this scaling issue, prior studies have typically trained multiple segmentation networks in order to match the optimal pixel resolution of heterogeneous tissue types. This multi-network solution is resource-intensive and fails to model the spatial relationship between tissue types. In this article, we propose the Omni-Seg network, a scale-aware dynamic neural network that achieves multi-object (six tissue types) and multi-scale (5× to 40× scale) pathological image segmentation via a single neural network. The contribution of this article is three-fold: (1) a novel scale-aware controller is proposed to generalize the dynamic neural network from single-scale to multi-scale; (2) semi-supervised consistency regularization of pseudo-labels is introduced to model the inter-scale correlation of unannotated tissue types into a single end-to-end learning paradigm; and (3) superior scale-aware generalization is evidenced by directly applying a model trained on human kidney images to mouse kidney images, without retraining. By learning from 150,000 human pathological image patches from six tissue types at three different resolutions, our approach achieved superior segmentation performance according to human visual assessment and evaluation of image-omics (i.e., spatial transcriptomics).

Translation and validation of urdu version short form-mcgill pain questionnaire-2

BackgroundLow back pain is one of the most common complaints affecting many individuals. The McGill Pain Questionnaire is used in various clinical settings to assess different types of pain and one of the most extensively used outcomes measures for pain in the world. The purpose of this study was to translate and validate the original English version of the SF-MPQ-2 into Urdu (SF-MPQ-2-U).MethodsFor this study, Mapi Research Trust protocols were followed for the forward and backward translation. Test-retest reliability was used to assess the reliability. Cronbach’s alpha and Omega was used to determine internal consistency. Pearson’s correlation was used to evaluate convergent validity. Confirmatory factor analysis was also conducted.ResultsThe Cronbach’s alpha for SF-MPQ-2-U was 0.73 to 0.79, indicating acceptable internal consistency. Omega score for the SF-MPQ-U were 0.918. The ICC varied from 0.799 to 0.878 for domains of SF-MPQ-2-U. The CFA of the SF-MPQ-2-U met model fit indices with GFI and NFI > 0.90. The inter-scale correlation between baseline and re-test data was from 0.63 to 0.71, indicating a positive and strong correlation. The SF-MPQ-2-U and ODI-U had a baseline correlation of 0.547. The correlation of SF-MPQ-2-U & VAS at baseline data was 0.558. Pearson’s correlation between subscales was r = 0.253 with p 0.01, which was statistically significant.ConclusionThe SF-MPQ-2-U is considered to have good convergent validity at inter scale and between two scale levels. Reliability was checked by test-retest reliability, Internal consistency was checked using Cronbach’s alpha and Omega that showed good internal consistency for measuring different types of pain in patients with low back pain who speak Urdu. To make the questionnaire more valid and reliable, it is recommended for the researchers to do in-depth research on larger sample size.

Validity and reliability of the Japanese versions of the coronavirus anxiety scale for adolescents and obsession with COVID-19 scale for adolescents.

The coronavirus disease 2019 (COVID-19) has caused mental health issues in both adults and adolescents. The Coronavirus Anxiety Scale (CAS) and Obsession with COVID-19 Scale (OCS) questionnaires measure anxiety and persistent and disturbed thoughts (also known as obsessions) related to COVID-19. We developed Japanese versions of the CAS (i.e., CAS-JA) and OCS (i.e., OCS-JA) questionnaires to make them suitable for adolescents and validated the characteristics of these scales. Two online surveys were administered to high school students aged 15-18 years. A total of 263 students participated in the first survey and almost half of them participated in the second survey. In the first survey, participants responded to the CAS-JA, OCS-JA, generalized anxiety and obsessive-compulsive subscales of the Spence Children's Anxiety Scale (SCAS), and Kessler 6 Scale (K6). The SCAS and K6 were used to verify discriminant validity and inter-scale correlations. In the second survey, the participants completed the CAS-JA and OCS-JA again to verify test-retest reliability. We performed a confirmatory factor analysis and calculated the model fit indices. Additionally, we examined the internal consistency reliability, convergent validity, and inter-item correlations of the CAS-JA and OCS-JA. Moreover, differences in CAS-JA and OCS-JA responses by gender and region of residence (state of emergency and non-emergency areas) were examined. The results of the single-factor model confirmatory factor analysis of model fit indices were above the threshold. The required criteria for internal consistency reliability, test-retest reliability, and discriminant and convergent validity were met in both the CAS-JA and OCS-JA. No statistically significant differences attributed to residence and gender were found in both questionnaires. The results indicate that the CAS-JA and OCS-JA questionnaires are useful in measuring COVID-19-related anxiety, and persistent and disturbed thoughts in Japanese adolescents.

The Swedish version of EMPATHIC-30 translation and initial psychometric evaluation.

One way to measure quality of care is by measuring satisfaction of provided care among patients and their families. EMpowerment of PArents in THe Intensive Care 30 (EMPATHIC-30) is a self-reported questionnaire grounded on the principles of FCC aiming to measure parents' satisfaction with paediatric intensive care. There is lack of Swedish questionnaires measuring satisfaction with paediatric intensive care based on family-centered care principles. The aim was to translate the instrument EMpowerment of PArents in THe Intensive Care 30 (EMPATHIC-30) into the Swedish language and evaluate psychometrically the Swedish version in a paediatric intensive care context. The instrument EMPATHIC-30 was translated and adapted to Swedish context, thereafter, assessed by expert panels consisting of nurses (panel one; n=4; panel two; n=24) and parents (n=8) with experience in paediatric intensive care. Construct validity, item characteristics and reliability were tested in a cohort of 97 parents whose child had been treated for at least 48 h at two out of four Paediatric Intensive Care Unit (PICUs) in Sweden. Parents whose child died during hospitalisation were excluded. The Swedish version of EMPATHIC-30 showed an acceptable internal consistency with Cronbach's alpha coefficient for the total scale 0.925. Cronbach's alpha on the domain level varied between 0.548-0.792 with the lowest coefficient in the domain Organisation. Inter-scale correlation revealed acceptable correlations for both subscales (0.440-0.743) and between total scale and subscales (0.623-0.805), which demonstrated good homogeneity for the instrument in its entirety. One problem regarding the domain Organisation and especially the item "It was easy to contact the pediatric intensive care unit by telephone" was revealed, which indicated that the item needs to be reformulated or that the factor structure needs to be further evaluated. The findings from the current study indicated that the Swedish version of EMPATHIC-30 has acceptable psychometric properties and can be used in Swedish PICUs. Using EMPATHIC-30 in clinical practice can give an indication of the overall quality of family-centered care at the PICU.

Factors impacting quality of life in multiple system atrophy.

Multiple system atrophy (MSA) is an atypical parkinsonian disorder marked by autonomic dysfunction, parkinsonism, cerebellar dysfunction, and poor response to dopaminergic medications such as levodopa. Patient-reported quality of life is an important benchmark for clinicians and clinical trials. The Unified Multiple System Atrophy Rating Scale (UMSARS) allows healthcare providers to rate and assess MSA progression. The MSA-QoL questionnaire is a health-related quality of life scale intended to provide patient-reported outcome measures. In this article, we investigated inter-scale correlations between the MSA-QoL and UMSARS to determine factors impacting the quality of life of patients with MSA. Twenty patients at the Johns Hopkins Atypical Parkinsonism Center's Multidisciplinary Clinic with a diagnosis of clinically probable MSA and who filled out the MSA-QoL and UMSARS questionnaires within 2 weeks of each other were included. Inter-scale correlations between MSA-QoL and UMSARS responses were examined. Linear regressions were also performed to examine relationships between both scales. Significant inter-scale correlations were found between the MSA-QoL and UMSARS, both between MSA-QoL total score and UMSARS Part I subtotal scores and for individual scale items. There were no significant correlations between MSA-QoL life satisfaction rating and UMSARS subtotal scores or any specific UMSARS items. Linear regression analysis found significant associations between MSA-QoL total score and UMSARS Part I and total scores, and between MSA-QoL life satisfaction rating and UMSARS Part I, Part II, and total scores (after adjustment for age). Our study demonstrates significant inter-scale correlations between MSA-QoL and UMSARS, particularly relating to activities of daily living and hygiene. MSA-QoL total score and UMSARS Part I subtotal scores, which assess patients' functional status, were significantly correlated. The lack of significant associations between MSA-QoL life satisfaction rating and any UMSARS item suggests there may be aspects to quality of life that are not fully captured by this assessment. Larger cross-sectional and longitudinal analyses utilizing UMSARS and MSA-QoL are warranted and modification of the UMSARS should be considered.

Reliability and validity of the Chinese version of chronic liver disease questionnaire-nonalcoholic fatty liver disease in patients with nonalcoholic fatty liver disease: a multicenter cross-sectional survey in China.

The Chronic Liver Disease Questionnaire (CLDQ)-Nonalcoholic Fatty Liver Disease (NAFLD) is a disease-specific instrument to assess the health-related quality of life (HRQL) of patients with NAFLD. In order to provide further evidence for the cross-cultural utility of this instrument in the Chinese population, we translated the CLDQ-NAFLD into Chinese and examined its reliability and validity. Patients with NAFLD in 90 hospitals across China were enrolled in this multicenter cross-sectional survey. Eligible patients completed the Chinese version of CLDQ-NAFLD at enrollment to assess HRQL. Internal consistency of the questionnaire was assessed using Cronbach's alpha coefficient and split-half reliability. Convergent and discriminant validity were assessed using Spearman correlation coefficient. Factor analysis was used to test the construct validity. Between March and August 2019, 5181 patients with a mean age of 43.8 ± 13.3years were enrolled. All domains exhibited good internal consistency, with Cronbach's alpha and split-half reliability greater than 0.70. The scaling success rate of all domains was 100% for convergent validity and 99.4% (179/180) for discriminant validity. The inter-scale correlations indicated a significant correlation between all CLDQ-NAFLD domains (r = 0.608 to 0.832, all p < 0.001). Factor analysis of 36 items extracted 6 factors, which explained 69.14% of the total variance. The Chinese version of CLDQ-NAFLD is a reliable and valid instrument for assessing the HRQL of Chinese patients with NAFLD.

Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution

Multi-scale design has been considered in recent image super-resolution (SR) works to explore the hierarchical feature information. Existing multi-scale networks aim at building elaborate blocks or progressive architecture for restoration. In general, larger scale features concentrate more on structural and high-level information, while smaller scale features contain plentiful details and textured information. In this point of view, information from larger scale features can be derived from smaller ones. Based on the observation, in this article, we build a sequential hierarchical learning super-resolution network (SHSR) for effective image SR. Specially, we consider the inter-scale correlations of features, and devise a sequential multi-scale block (SMB) to progressively explore the hierarchical information. SMB is designed in a recursive way based on the linearity of convolution with restricted parameters. Besides the sequential hierarchical learning, we also investigate the correlations among the feature maps and devise a distribution transformation block (DTB). Different from attention-based methods, DTB regards the transformation in a normalization manner, and jointly considers the spatial and channel-wise correlations with scaling and bias factors. Experiment results show SHSR achieves superior quantitative performance and visual quality to state-of-the-art methods with near 34% parameters and 50% MACs off when scaling factor is × 4. To boost the performance without further training, the extension model SHSR + with self-ensemble achieves competitive performance than larger networks with near 92% parameters and 42% MACs off with scaling factor ×4.