Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying the Relationship Between Economic Prosperity and Quality of Life in Chronic Obstructive Pulmonary Disease Patients

Background Chronic obstructive pulmonary disease (COPD) places a significant economic burden on national healthcare systems, and the economic effects of diseases have long been known. The study aimed to evaluate the association of parental family financial wealth with current economic prosperity and the combined effect of both on health-related quality of life (HRQOL) in a sample of patients with COPD. The moderating effect of birth order is further investigated. Methods The results of the study are based on a purposive sample of 105 COPD patients at the Larisa University Hospital pulmonology clinic (94 males and 11 females), with an average age of 68.9 (SD = 9.2). The data collection was carried out in the spring and summer of 2020. Participants completed the 36-item Short Form Survey (SF-36) and a sociodemographic questionnaire with self-reported parental and current wealth items. A mediation model with the moderation of the indirect effect of parental wealth on current wealth and the direct effect of parental wealth on HRQOL was applied to test the research hypotheses among the variables studied. Results Parental wealth was found to affect current wealth significantly, and both were involved considerably in HRQOL. Birth order had a significant moderating effect on the relationship between parental wealth and HRQOL. Among parental families with lower financial status, patients who grew up as third or later children had significantly lower HRQOL than the first or second children of these families. Neither age nor COPD duration was related to current wealth or HRQOL. Conclusions An intergenerational transmission of poverty was found in our sample. In addition, a birth order effect can provide further insight into the harsher environment that the later children of a low-income family are exposed to and the long-term implications for their HRQOL.
Long-Term Temporal Trends in Survival Among Danish Patients with Advanced Cutaneous Melanoma: A Nationwide Follow-Up Study

Introduction Population-based data on survival trends over time among patients with advanced cutaneous melanoma are lacking. We examined changes in mortality for patients diagnosed from 1980 to 2011 in a nationwide historical follow-up study using population-based medical registries from Denmark. Material and Methods The study population included all Danish patients with an incident diagnosis of advanced (metastatic or unresectable stage IIIA, IIIB, IIIC, or IV) cutaneous melanoma (ie, initial diagnosis for melanoma at stage III/IV) between 1980–2011 and who were followed-up until 2013. For each patient, we randomly matched 100 individuals from the general population on sex and year of birth. Age-standardized mortality rates were calculated by calendar year of diagnosis overall, 30 days after diagnosis, and during 31 to 364 days and 0–10 years after diagnosis. Stratified Cox’s proportional hazards regression was used to compute hazard ratios. Results We identified a total of 1236 patients and 123,600 comparison cohort members. We observed that the standardized mortality rates of patients with advanced melanoma dropped from the 1980s onwards, but remain high (eg, 74.3 and 248.4 per 1000 person-years in 0–30 days and 31–364 days after diagnosis, respectively, for patients diagnosed during 2008–2011). Compared with the general population, patients with advanced melanoma had a 10.4-fold increased hazard of death during 0–10 years of follow-up. The highest relative mortality was found for the first year following melanoma diagnosis. No improvements in survival compared to the general population were observed in the most recent years of the study period, thus in 2004–2007 and 2008–2011. Discussion and Conclusion Survival of patients with advanced cutaneous melanoma in Denmark improved between 1980 and 2013 but appears to have leveled off in the years leading up to more widespread introduction of newer immuno-oncology therapies.
A Network with Composite Loss and Parameter-free Chunking Fusion Block for Super-Resolution MR Image

MRI is often influenced by many factors, and single image super-resolution (SISR) based on a neural network is an effective and cost-effective alternative technique for the high-resolution restoration of low-resolution images. However, deep neural networks can easily lead to overfitting and make the test results worse. The network with a shallow training network is difficult to fit quickly and cannot completely learn training samples. To solve the above problems, a new end-to-end super-resolution (SR) method is proposed for magnetic resonance (MR) images. Firstly, in order to better fuse features, a parameter-free chunking fusion block (PCFB) is proposed, which can divide the feature map into n branches by splitting channels to obtain parameter-free attention. Secondly, the proposed training strategy including perceptual loss, gradient loss, and L1 loss has significantly improved the accuracy of model fitting and prediction. Finally, the proposed model and training strategy take the super-resolution IXISR dataset (PD, T1, and T2) as an example to compare with the existing excellent methods and obtain advanced performance. A large number of experiments have proved that the proposed method performs better than the advanced methods in highly reliable measurement.
Global analysis of the COVID‐19 policy activity levels and evolution patterns: A cross‐sectional study

Since the beginning of the coronavirus disease 2019 (COVID‐19), a large number of government policies have been implemented worldwide in response to the global spread of COVID‐19. This paper aims at developing a data‐driven analysis to answer the three research questions: (a) Compared to the pandemic development, are the global government COVID‐19 policies sufficiently active? (b) What are the differences and characteristics in the policy activity levels at the country level? (c) What types of COVID‐19 policy patterns are forming?
Psychometric Properties of the Chinese Version of the Comprehensive Autistic Trait Inventory

Background The Comprehensive Autistic Trait Inventory (CATI) was an appropriate assessment tool that included all the principal dimensions related to autism defined in DSM-5 for the general population. However, its validity and reliability in the general Chinese population still need to be examined. Purpose We revised the inventory and estimated the validity and reliability of the Chinese version of the CATI among 2232 general undergraduates. Methods The Chinese version of the CATI (CATI-C) was administered to 2259 undergraduates using the online Questionnaires Star electronic system. Internal consistency, convergent validity, discriminant validity, test-retest reliability, and measurement invariance across gender were calculated. In order to determine the diagnostic accuracy and optimal cut-off score of the CATI-C, an analysis using the Receiver Operating Characteristic (ROC) was performed. Results The CATI-C includes 35 items of two factors and six dimensions. CFA demonstrated that the fit index of the structure of the scale was good (Satorra-Bentler chi-square/degrees of freedom [S-Bχ2 /df] = 2.406, Standardized Root Mean Square Residual [SRMR] = 0.038, Root Mean Square Error of Approximation [RMSEA] = 0.037, Comparative Fit Index [CFI] = 0.929, Tucker-Lewis Index [TLI] = 0.917). The convergent validity examined based on the Autism Spectrum Quotient total score was satisfactory (r = 0.54). The internal consistency reliability of social factor, non-social factor, and total scores were 0.87, 0.85, and 0.90. The test-retest reliability was 0.80. A cut-off score of 115 provided optimal sensitivity and specificity for the CATI-C (sensitivity = 0.926, specificity = 0.781, and Youden’s index = 0.707). Conclusion The CATI-C has satisfactory reliability and validity in measuring autistic traits. It showed a good model fit for social and non-social second-order bifactors and measurement invariance across gender.
Analysis of the Prognosis Prediction Ability of a Necroptosis-Related Gene Signature and its Relationship With the Hepatocellular Carcinoma Immune Microenvironment Using Bioinformatics Analysis and Experimental Validation

Background: Hepatocellular carcinoma (HCC) is one of the most malignant cancers and has a poor prognosis. The immune microenvironment is closely related to the drug sensitivity of a tumor. Necroptosis was reported to be a key factor for HCC. The prognostic value of necroptosis-related genes and their association with the tumor immune microenvironment are still unknown. Methods: Necroptosis-related genes that could comprise a signature for predicting the prognosis of HCC cases were identified using univariate analysis and least absolute shrinkage and selection operator Cox regression analysis. The association between this prognosis prediction signature and HCC immune microenvironment was analyzed. The immunological activities and drug sensitivities were compared between different risk score groups identified using the prognosis prediction signature. The expression levels of the five genes comprising the signature were validated using RT-qPCR. Results: A prognosis prediction signature consisting of five necroptosis-related genes was constructed and validated. Its risk score was = (0.1634 × PGAM5 expression) + (0.0134 × CXCL1 expression) − (0.1007 × ALDH2 expression) + (0.2351 × EZH2 expression) − (0.0564 × NDRG2 expression). The signature was found to be significantly associated with the infiltration of B cells, CD4+ T cells, neutrophils, macrophages, and myeloid dendritic cells into the HCC immune microenvironment. The number of infiltrating immune cells and the expression levels of immune checkpoints in the immune microenvironment of high-risk score patients were higher. Sorafenib and immune checkpoint blockade were determined to be ideally suited for treating high-risk score patients and low-risk score patients, respectively. Finally, RT-qPCR results confirmed that the expression levels of EZH2, NDRG2, and ALDH2 were significantly down-regulated in HuH7 and HepG2 cells compared to those in LO2 cells. Conclusion: The necroptosis-related gene signature developed herein can classify patients with HCC according to prognosis risk well and is associated with infiltration of immune cells into the tumor immune microenvironment.
Parent's preferences for unscheduled paediatric healthcare: A discrete choice experiment

Unscheduled healthcare is a key component of healthcare delivery and makes up a significant proportion of healthcare access, with children being particularly high users of unscheduled healthcare. Understanding the relative importance of factors that influence this behaviour and decision‐making is fundamental to ensuring the system is best designed to meet the needs of users and foster appropriate cost‐effective usage of health system resources.
The relationship between biological parameters and facial soft tissue thickness measured by ultrasound and its forensic implications

Facial soft tissue thickness (FSTT) data are currently widely used in forensic and medical science. In the forensic sciences, they form the basis for craniofacial reconstruction and identification methods. Since there are few FSTT data in the Slovak population, this study aims to enrich the data in well-defined age categories, taking into account differences between sexes and body mass index (BMI). The sample consisted of 127 participants aged 17 to 86 years from Slovakia. In addition to biological sex and age information, stature and body weight were recorded to calculate BMI. Subsequently, 17 facial anthropometric landmarks were used to measure FSTT using a noninvasive General Electric LOGIQe R7 ultrasound device. The mean values of FSTT were greater in the mouth region in males and in the zygomatic and eye regions in females. Differences between males and females, regardless of sex and BMI, were significant only at two landmarks. When BMI and age were taken into account, there were differences in 12 of 17 landmarks. Linear regression results showed the strongest correlation of most landmarks with BMI, followed by age and sex. When the FSTT was estimated in association with sex/age/BMI, landmarks in the zygomatic, mandibular, and frontal regions were the best regressors. The results of the present study demonstrate that B-mode ultrasound measurements of FSTT can be used in facial reconstruction as a function of BMI, age, and sex of the subject. Furthermore, the present regression equations can help practitioners in the forensic/medical field to calculate individual tissue thickness.
Cluster evolution as a diagnostic for Ω

The population of rich galaxy clusters evolves much more rapidly in a universe with critical density than one with low density, thus offering the possibility of determining the cosmological density parameter, Omega_0. We quantify this evolution using the Press-Schechter formalism which we extend to flat models with a cosmological constant. Using new large N-body simulations, we verify that this formalism accurately predicts the abundance of rich clusters as a function of redshift in various cosmologies. We normalise the models by comparing them to the local abundance of clusters as a function of their X-ray temperature which we rederive from data compiled by Henry & Arnaud. This gives values of the rms density fluctuation in spheres of radius 8 Mpc/h of sigma_8 = (0.50+/- 0.04) Omega_0^{-0.47+0.10 Omega_0} if Lambda_0=0 and sigma_8 = (0.50 +/- 0.04) Omega_0^{-0.53+0.13 Omega_0} if Lambda_0=1-Omega_0. These values depend very weakly on the shape of the power spectrum. We then examine how the distributions of mass, X-ray temperature and Sunyaev-Zel'dovich decrement evolve as a function of Omega_0. We present the expected distributions at z=0.33 and z=0.5 and the predicted number counts of the largest clusters. We find that even at z=0.33, these distributions depend very strongly on Omega_0 and only weakly on Lambda_0. For example, at this redshift, we expect 20 times as many clusters per comoving volume with M>3.5 10^{14} Msol/h and 5 times as many clusters with kT>5 keV if Omega_0=0.3 than if Omega_0=1. The splitting in the integrated counts is enhanced by the larger volume element in low Omega_0 models. There is therefore a real prospect of estimating Omega_0 from forthcoming surveys of intermediate redshift clusters that will determine their masses, X-ray temperatures or SZ decrements.
Drowning in Children and Predictive Parameters

Background Drowning is a serious and underestimated public health problem, with the highest morbidity and mortality reported among children. Data regarding pediatric outcomes of drowning are often inadequate, and data collection is poorly standardized among centers. This study aims to provide an overview of a drowning pediatric population in pediatric emergency department, focusing on its main characteristics and management and evaluating prognostic factors. Methods This is a retrospective multicenter study involving eight Italian Pediatric Emergency Departments. Data about patients between 0 to 16 years of age who drowned between 2006 and 2021 were collected and analyzed according to the Utstein-style guidelines for drowning. Results One hundred thirty-five patients (60.9% males, median age at the event 5; interquartile range, 3–10) were recruited and only those with known outcome were retained for the analysis (133). Nearly 10% had a preexisting medical conditions with epilepsy being the most common comorbidity. One third were hospitalized in the intensive care unit (ICU) and younger males had a higher rate of ICU admission than female peers. Thirty-five patients (26.3%) were hospitalized in a medical ward while 19 (14.3%) were discharged from the emergency department and 11 (8.3%) were discharged after a brief medical observation less than 24 hours. Six patients died (4.5%). Medium stay in the ED was approximately 40 hours. No difference in terms of ICU admission was found between cardiopulmonary resuscitation performed by bystanders or trained medical personnel (P = 0.388 vs 0.390). Conclusions This study offers several perspectives on ED victims who drowned. One of the major finding is that no difference in outcomes was seen in patients who received cardiopulmonary resuscitation performed by bystanders or medical services, highlighting the importance of a prompt intervention.
Effects of cortical distance on the Ebbinghaus and Delboeuf illusions

The Ebbinghaus and Delboeuf illusions affect the perceived size of a target circle depending on the size and proximity of circular inducers or a ring. Converging evidence suggests that these illusions are driven by interactions between contours mediated by their cortical distance in primary visual cortex. We tested the effect of cortical distance on these illusions using two methods: First, we manipulated retinal distance between target and inducers in a two-interval forced choice design, finding that targets appeared larger with a closer surround. Next, we predicted that targets presented peripherally should appear larger due to cortical magnification. Hence, we tested the illusion strength when positioning the stimuli at various eccentricities, with results supporting this hypothesis. We calculated estimated cortical distances between illusion elements in each experiment and used these estimates to compare the relationship between cortical distance and illusion strength across our experiments. In a final experiment, we modified the Delboeuf illusion to test whether the influence of the inducers/annuli in this illusion is influenced by an inhibitory surround. We found evidence that an additional outer ring makes targets appear smaller compared to a single-ring condition, suggesting that near and distal contours have antagonistic effects on perceived target size.
A descriptive analysis of scoring patterns on clinically relevant questionnaires in 26 adults with diagnosed muscle dysmorphia

Abstract Objective Few studies have recruited adults with a formal diagnosis of muscle dysmorphia (MD), a psychological illness defined by preoccupation that one lacks muscularity and/or leanness, combined with significant functional impairment. This study presented descriptive statistics for a range of clinically relevant questionnaires in one of the largest samples of adults with confirmed diagnoses of MD. Method We recruited 29 adults who met diagnostic criteria for MD as determined by semi‐structured diagnostic interviews and administered a battery of questionnaires assessing MD symptomology, compulsive exercise, and disordered eating. Descriptive statistics were calculated for both total and subscale scores for each questionnaire. Raincloud plots are included to show the distribution of total scores. Results Of the 29 participants, 26 completed all questionnaires. Mean scores were high across all questionnaires and broadly consistent with results in past studies that also recruited a clinical MD sample. Most participants scored above proposed clinical cut‐off scores for questionnaires assessing compulsive exercise and disordered eating. Conclusions This study adds to the small body of published questionnaire data in clinical MD samples. We stress that questionnaire scores should not be used alone to infer the presence of MD, but could be considered as a useful adjunct to a comprehensive clinical interview.
Engagement with three or more healthy lifestyle behaviours is associated with improved quality of life over 7.5 years in people with multiple sclerosis

People with multiple sclerosis (pwMS) report reduced quality of life (QoL). Engagement with healthy lifestyle behaviours, including consuming a healthy diet, regular physical activity, and adequate vitamin D exposure, is associated with higher QoL. We aim to assess whether individual lifestyle behaviours are more beneficial to QoL than others, and whether there are additive benefits to QoL by engaging in multiple healthy behaviours concurrently.
Factors Associated with Eczema Clinical Trial Awareness, Interest, and Participation in Adults

Despite the need for improved eczema therapies and a rapid increase in available eczema clinical trials, participation remains low. The aim of this study was to identify factors associated with clinical trial awareness, interest, and barriers to enrolment and participation. An online survey, administered 1 May to 6 June 2020 to adults (≥ 18 years) with eczema in the USA, was analysed. Among 800 patients included, mean age was 49.4 years, most respondents were female (78.1%), White (75.4%), non-Hispanic (91.4%), and geographically living in an urban/suburban area (Rural-Urban Continuum Codes (RUCC) 1–3, 90.8%). Only 9.7% of respondents reported previous participation in clinical trials, while 57.1% had considered participation and 33.2% never considered participation. Higher satisfaction with current eczema therapy, clinical trial literacy, and confidence in finding eczema trial information were all associated with clinical trial awareness, interest, and successful participation. Younger age and having atopic dermatitis were associated with increased awareness, while female gender was a barrier to interest and successful participation. SIGNIFICANCE Different diseases may have different needs for clinical trials, since they are unique to patient populations. This study of adult eczema patients found that few ever participated in clinical trials, yet a large subset had considered it. Higher satisfaction with current therapy, clinical trial literacy, and confidence to find clinical trial information were associated with awareness, interest, and successful participation in clinical trials. Younger age and having atopic dermatitis were associated with increased awareness, while being female was a barrier to interest and successful participation in clinical trials. Reducing barriers and increasing knowledge/awareness may lead to increased participation in eczema clinical trials.
Metabarcoding of colonic cleansing fluid reveals unique bacterial members of mucosal microbiota associated with Inflammatory Bowel Disease

Abstract Background Inflammatory Bowel Disease (IBD) is a group of chronic idiopathic inflammatory diseases of the gastrointestinal (GI) tract associated with the dysbiosis of gut microbiota. Metabarcoding-based profiling of the gut microbiota of IBD patients is generally based on the stool samples collected from individual patients which rarely represent the mucosa-associated microbiota. The ideal sampling strategy for routine monitoring of the mucosal component of IBD has yet to be determined. Methods We hereby compare the microbiota composition of the colonic cleansing fluid (CCF) collected during colonoscopy with stool samples from IBD patients. The relationship between IBD and gut microbiota was revealed through the application of the 16S rRNA amplicon sequencing-based metabarcoding approach. CCF and stool samples were collected from IBD patients with Crohn’s disease and ulcerative colitis. Results The present study shows significant differences in the microbial composition of CCF samples, presumably indicating changes in the mucosal microbiota of IBD patients as compared to the control group. Short-chain fatty acid-producing bacteria under the family Lachnospiraceae, the actinobacterial genus Bifidobacterium, the proteobacterial Sutterella and Raoultella are found to contribute to the microbial dysbiosis of the mucosal flora in IBD patients. Conclusions CCF microbiota has the capacity to distinguish IBD patients from healthy controls and, thus, may constitute an alternative analysis strategy for the early diagnosis and disease progression in IBD biomarker research.