Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantifying voids effecting delamination in carbon/epoxy composites: static and fatigue fracture behavior

On the present work, samples of carbon fiber/epoxy composites with different void levels were fabricated using hand layup vacuum bagging process by varying the pressure. Thermal nondestructive methods: thermal conductivity measurement, pulse thermography, pulse phase thermography and lock-in-thermography, and mechanical testing: modes I and II interlaminar fracture toughness were conducted. Comparing the parameters resulted from the thermal nondestructive testing revealed that voids lead to reductions in thermal properties in all directions of composites. The results of mode I and mode II interlaminar fracture toughness showed that voids lead to reductions in interlaminar fracture toughness. The parameters resulted from thermal nondestructive testing were correlated to the results of mode I and mode II interlaminar fracture toughness and voids were quantified.
Antecedents of the red-romance effect: Men’s attractiveness and women’s fertility

The color red has been implicated in a variety of social processes, including those involving mating. While previous research suggests that women sometimes wear red strategically to increase their attractiveness, the replicability of this literature has been questioned. The current research is a reasonably powered conceptual replication designed to strengthen this literature by testing whether women are more inclined to display the color red 1) during fertile (as compared with less fertile) days of the menstrual cycle, and 2) when expecting to interact with an attractive man (as compared with a less attractive man and with a control condition). Analyses controlled for a number of theoretically relevant covariates (relationship status, age, the current weather). Only the latter hypothesis received mixed support (mainly among women on hormonal birth control), whereas results concerning the former hypothesis did not reach significance. Women (N = 281) displayed more red when expecting to interact with an attractive man; findings did not support the prediction that women would increase their display of red on fertile days of the cycle. Findings thus suggested only mixed replicability for the link between the color red and psychological processes involving romantic attraction. They also illustrate the importance of further investigating the boundary conditions of color effects on everyday social processes.
The Rise and Rise of Lupus

Despite how difficult the early diagnosis of systemic lupus erythematosus (SLE) is, which is mainly due to the heterogeneity and non-specificity of its clinical manifestations, SLE is currently being diagnosed more frequently than in past decades. In fact, there has been an increase in the incidence and prevalence of SLE over the last four decades; this can be explained by a number of reasons including a better knowledge of the pathogenesis of the disease which allows its earlier diagnosis, the rising ethnic and racial diversity of the world population, the use of the 2019 EULAR/ACR criteria that allows classifying patients earlier, and improvements in survival over the last decades, which results in an increase in the prevalent cases of SLE. In this article, we will also review the genetic, environmental, and lifestyle factors, that are reported to increase the risk of developing SLE and how preventive strategies through a clinical care pathway may prevent or delay the development of SLE and improve these patients’ outcomes.
Brief transdiagnostic group intervention for people living with HIV and emotional disorders: feasibility and clinical utility

ABSTRACT Emotional regulation-based transdiagnostic interventions provide positive but limited evidence regarding efficacy with people living with human immunodeficiency virus (HIV). In the present study, 10 participants living with HIV with emotional disorders completed a five-session transdiagnostic group intervention to improve their emotional regulation skills (Unified Protocol). Changes at pre-treatment, post-treatment and three-month follow-up were explored at the population (mean-rank) and the individual level (reliable change index). Compared to pre-treatment, participants improved significantly in anxiety, depression, negative affect and quality of life. Changes were maintained at the three-month follow-up. Emotion regulation, particularly the confusion factor, improved when comparing pre-treatment with the three-month follow-up. At the three-month follow-up, the percentage of normalized scores was the largest in maladjustment (70%), followed by depression, negative affect, and lack of control (50%). All participants indicated high treatment satisfaction and perceived benefits. These promising results suggest that brief emotion regulation interventions might be feasible and effective in the public health settings for people living with HIV suffering emotional disorders.
Study of the Effectiveness of a Wearable Haptic Interface With Cutaneous and Vibrotactile Feedback for VR-Based Teleoperation

The control principle of teleoperated robotic systems is often not very intuitive, resulting in substantial cognitive load for the operator. Besides, the teleoperation of robotic systems requires stable and convenient visual feedback for the operator. Better spatio-temporal robot coordination can be achieved by providing the operator with high-fidelity multimodal haptic feedback. Using the advantages of virtual reality (VR) and haptic technology, we can improve the quality of teleoperation and increase the level of user involvement when operating the system. This article focuses on studying the effectiveness of the developed wearable haptic interface, vDeltaGlove, that provides multimodal haptic feedback when controlling a robotic arm through a virtual environment (VE). We evaluated the performance of vDeltaGlove in the series of teleoperation tasks. vDeltaGlove interface showed comparable characteristics with the Omega.7 desktop haptic device in terms of accuracy and outreached the performance of operation with VIVE controller. Besides, the developed interface showed the superior evaluation in terms of user experience. The proposed technology suggests a novel way of human-robot interaction (HRI) to achieve intuitive and immersive robot control.
Global, regional, and country-level cost of leptospirosis due to loss of productivity in humans

Background Leptospirosis, a prevalent zoonotic disease with One Health priority and a disease of poverty, lacks global economic burden estimates. This study aims to determine the global, regional, and country-level cost of leptospirosis due to loss of productivity. Methodology/Principal Findings The cost of leptospirosis due to loss of productivity (referred to as productivity cost hereafter) was estimated by converting the disability-adjusted life years (DALYs) lost due to leptospirosis to a monetary value using the per capita gross domestic product (GDP). The country-specific DALYs lost were obtained from the global burden of leptospirosis study published previously. For the cost conversion of DALYs, non-health GDP per capita (GDP- per capita health expenditure) was used. Country-specific GDP and health expenditure data were obtained from the World Bank data repositories. Estimates were done using both nominal and international dollars. The estimated global productivity cost of leptospirosis in 2019 was Int$ 29.3 billion, with low and high estimates ranging from Int$ 11.6 billion to 52.3 billion. China (Int$ 4.8 billion), India (Int$ 4.6 billion), Indonesia (Int$ 2.8 billion), Sri Lanka (Int$ 2.1 billion), and the United States (Int$ 1.3 billion) had the highest productivity cost due to leptospirosis. Eight out of 10 countries with the highest burden were in the Asia-Pacific region. In addition, lower middle-income countries had an annual productivity cost of Int$ 13.8 billion, indicating that the disease is poverty-related. Conclusions Although significant, the cost estimate due to loss of productivity is merely a fraction of the overall economic burden of this disease, which also includes other direct, indirect, and intangible costs. The existing partial estimates of the different components of economic cost suggest a profound economic burden that demands the inclusion of leptospirosis in the global health agenda for comprehensive disease control and prevention efforts, including vaccine development.
Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence.

A graph neural network (GNN) is a powerful architecture for semi-supervised learning (SSL). However, the data-driven mode of GNNs raises some challenging problems. In particular, these models suffer from the limitations of incomplete attribute learning, insufficient structure capture, and the inability to distinguish between node attribute and graph structure, especially on label-scarce or attribute-missing data. In this article, we propose a novel framework, called graph coneighbor neural network (GCoNN), for node classification. It is composed of two modules: GCoNN Γ and GCoNN Γ° . GCoNN Γ is trained to establish the fundamental prototype for attribute learning on labeled data, while GCoNN [Formula: see text] learns neighbor dependence on transductive data through pseudolabels generated by GCoNN Γ . Next, GCoNN Γ is retrained to improve integration of node attribute and neighbor structure through feedback from GCoNN [Formula: see text] . GCoNN tends to convergence iteratively using such an approach. From a theoretical perspective, we analyze this iteration process from a generalized expectation-maximization (GEM) framework perspective which optimizes an evidence lower bound (ELBO) by amortized variational inference. Empirical evidence demonstrates that the state-of-the-art performance of the proposed approach outperforms other methods. We also apply GCoNN to brain functional networks, the results of which reveal response features across the brain which are physiologically plausible with respect to known language and visual functions.
Characteristic changes to pulsatile and steady‐state load according to pulmonary hypertension classification

It is of increasing importance to understand and predict changes to the systemic and pulmonary circulations in pulmonary hypertension (PH). To do so, it is necessary to describe the circulation in complete quantitative terms. Characteristic impedance (Zc) expresses opposition of the circulation to pulsatile blood flow. Evaluation of systemic and pulmonary Zc relationships according to PH classification has not previously been described. Prospective study of 40 clinically indicated patients referred for CMR and RHC (56 ± 18 years; 70% females, eight mPAP ≤ 25 mmHg, 16 pre‐capillary [Pre‐cPH], eight combined pre‐ and post‐capillary [Cpc‐PH] and eight isolated left‐heart disease [Ipc‐PH]). CMR provided assessment of ascending aortic (Ao) and pulmonary arterial (PA) flow, and RHC, central Ao and PA pressure. Systemic and pulmonary Zc were expressed as the relationship of pressure to flow in the frequency domain. Baseline demographic characteristics were well‐matched across PH subclasses. In those with a mPAP ≤25mHg, systemic Zc and SVR were >2 times higher than pulmonary Zc and PVR. Only Pre‐cPH was associated with inverse pulsatile (systemic Zc 58 [45–69] vs pulmonary Zc 70 [58–85]), but not steady‐state (SVR 1101 [986–1752] vs. PVR 483 [409–557]) relationships. Patients with CpcPH and IpcPH had concordant pulsatile and steady‐state relationships (Graphical Abstract). Measurement of, and the relationship between, systemic and pulmonary Zc in patients according to PH sub‐classification has not previously been described. Systemic Zc was routinely higher than pulmonary Zc, except in patients with newly diagnosed Pre‐cPH, where inverse pulsatile but not steady‐state relationships were observed.
Risk of Prescription Opioid Exposure in Children and Adolescents With Attention Deficit Hyperactivity Disorder: A Nationwide Longitudinal Study

Background: US studies suggest a positive association between attention deficit–hyperactivity disorder (ADHD) and the risk of exposure to prescription opioids. However, whether this association holds in Asian countries remains unclear. Methods: In total, 91,518 children and adolescents with ADHD and 91,518 age- and sex-matched controls were enrolled for the period of 2001 to 2009; they were followed up until the end of 2011 to determine whether they had used prescription opioids. Results: Children (hazard ratio [HR]: 5.83) and adolescents (HR: 3.44) with ADHD had a higher likelihood of receiving opioid prescriptions than did their matched controls. Furthermore, patients with ADHD had greater likelihoods of cumulative exposure to opioids of >14 (HR: 5.93) and >30 days (HR: 6.07). Discussion: Owing to the evidence of a significant link between opioid prescription use and eventual abuse, close monitoring for prescription opioid use is necessary for at-risk children and adolescents with ADHD.
Elevated Expression of ADAMTS-12 in Maternal and Umbilical Cord Serum of Placenta Accreta Spectrum

Abstract Objective We investigated a disintegrin and metalloproteinase with thrombospondin type 1 motif-12 (ADAMTS-12) levels in both fetal umbilical cord and maternal blood of pairs diagnosed with placenta accreta spectrum (PAS). Method We analyzed ADAMTS-12 level by ELISA in 160 samples that included 30 control pairs (30 maternal and 30 umbilical cord serums), 20 pairs in the placenta previa (PP), and 30 pairs in the PAS group (30 maternal and 30 umbilical cord serums). Results There were increased serum levels of ADAMTS-12 in maternal serum (p = 0.037) and umbilical cord serum level (p = 0.004) of PAS group compared with the PP and healthy control groups. There was a positive correlation between maternal ADAMTS-12 and fetal ADAMTS-12 serum levels (r = 0.53, p = 0.002). Conclusion Our findings indicate that ADAMTS-12 could be a diagnostic biomarker for PAS.
Beyond the 5‐year milestone: Long‐term survivorship of melanoma patients treated off‐trial with anti‐PD‐1

Little is known about the long‐term outcomes of anti‐PD‐1 treated patients with melanoma beyond 5 years, especially for patients treated off clinical trials. This retrospective cohort study includes patients with unresectable stage III/IV nonuveal melanoma treated with anti‐PD‐1 off‐trial at Memorial Sloan Kettering Cancer Center between 2014 and 2017 who survived at least 5 years following their first anti‐PD‐1 dose (N = 139). We characterized overall survival (OS), melanoma‐specific survival (MSS) estimates, treatment‐free survival rates, and subsequent treatment courses. Median follow‐up among 5‐plus year survivors (N = 125) was 78.4 months (range 60.0–96.3). OS at year 7 (2 years post 5‐year landmark) was 90.1% (95% CI: 83.0%–94.3%). Fourteen deaths occurred, seven due to melanoma. MSS at year 7 (2 years post 5‐year landmark) was 95.0% (95% CI: 33.5%–95.2%). In patients who completed anti‐PD‐1 based therapy and did not require subsequent treatment by 5 years (N = 80), the probability of not requiring additional treatment for an additional 2 years was 95.7% (95% CI: 91.0%–100%). Patients treated with anti‐PD‐1 regimens off clinical trials who survive at least 5 years from initial anti‐PD‐1 treatment can be reassured of their excellent long‐term prognosis, particularly if they did not require additional melanoma treatment during the first 5 years.
Extension pattern recognition method based on interval overlapping degree

The extension pattern recognition method based on interval overlapping degree(IOD-EPRM)is proposed to effectively solve the problem of recognition rate decrease which results from the overlapping of value ranges.In this method,making use of the property that interval overlapping degree could reflect the importance degree of the character in the extension pattern recognition,constructing appropriate mapping function from interval overlapping degree to character weight could decrease the affect of the character which is seriously overlapped.The simulation test with the data of iris and wine among UCI database prove that the recognition rate of IOD-RPRM is about 7% to 9% higher than the extension recognition method,and subjects little effect to the number of the selected data.
Novel Metabolites to Improve Glomerular Filtration Rate Estimation

Introduction: The glomerular filtration rate (GFR) is crucial for chronic kidney disease (CKD) diagnosis and therapy. Various studies have sought to recognize ideal endogenous markers to improve the estimated GFR for clinical practice. To screen out potential novel metabolites related to GFR (mGFR) measurement in CKD patients from the Chinese population, we identified more biomarkers for improving GFR estimation. Methods: Fifty-three CKD participants were recruited from the Third Affiliated Hospital of Sun Yat-sen University in 2020. For each participant, mGFR was evaluated by utilizing the plasma clearance of iohexol and collecting serum samples for untargeted metabolomics analyses by ultrahigh-performance liquid chromatography-tandem mass spectroscopy. All participants were divided into four groups according to mGFR. The metabolite peak area data were uploaded to MetaboAnalyst 5.0 for one-way analysis of variance, principal component analysis, and partial least squares-discriminant analysis and confirmed the metabolites whose levels increased or decreased with mGFR and variable importance in projection (VIP) values >1. Metabolites were ranked by correlation with the original values of mGFR, and metabolites with a correlation coefficient >0.8 and VIP >2 were identified. Results: We screened out 198 metabolites that increased or decreased with mGFR decline. After ranking by correlation with mGFR, the top 50 metabolites were confirmed. Further studies confirmed the 10 most highly correlated metabolites. Conclusion: We screened out the metabolites that increased or decreased with mGFR decline in CKD patients from the Chinese population, and 10 of them were highly correlated. They are potential novel metabolites to improve GFR estimation.
Functional variant rs10175368 which affects the expression of CYP1B1 plays a protective role against breast cancer in a Chinese Han population

Objective Cytochrome P450 1B1 (CYP1B1) genetic variants are relevant in the pathogenesis of breast cancer. Exploring the relationships between CYP1B1 functional variants and breast cancer could improve our understanding of breast cancer molecular pathophysiology. Methods This is a two-stage hospital-based case–control study of a Chinese Han population. Genotyping was performed to identify candidate gene variants. 3DSNP, ANNOVAR, and RegulomeDB were used to determine functional single nucleotide polymorphisms (SNPs). The relationship between candidate variants and breast cancer risk was evaluated through unconditional logistic regression analysis. The PancanQTL platform was used to perform cis and trans expression quantitative trait loci (eQTL) analysis of positive SNPs. The GSCA platform was then used to compare the gene expression levels of potential target genes between breast cancer tissue and normal tissue adjacent to the cancer. Results rs10175368-T acted as a protective factor against breast cancer based on an additive model [odds ratio (OR) = 0.722, 95% confidence interval (CI) = 0.613–0.850; P < 0.001], and was identified as a protective factor in the postmenopausal population (OR = 0.601; 95% CI, 0.474–0.764; P < 0.001). eQTL analysis and analysis of differential expression in carcinoma and paracancerous tissues revealed that the expression level of CYP1B1-AS1 was associated with rs10175368 and that CYP1B1-AS1 had significantly higher expression levels in breast cancer tissues than in paracancerous tissues. Conclusion We show, for the first time in a Chinese Han population, that the functional variant rs10175368 plays a protective role against breast cancer, especially in the postmenopausal population.
Bee diversity decreases rapidly with time since harvest in intensively managed conifer forests.

Despite widespread concern about the anthropogenic drivers of global pollinator declines, little information is available about the impacts of land management practices on wild bees outside of agricultural systems, including forests managed intensively for wood production. We assessed changes in wild bee communities with time since harvest in 60 intensively managed Douglas-fir (Pseudotsuga menziesii) stands across a gradient in stand ages spanning a typical harvest rotation. We measured bee abundance, species richness, and alpha and beta diversity, as well as habitat characteristics (i.e., floral resources, nesting substrates, understory vegetation, and early seral forest in the surrounding landscape) during the spring and summer in 2018 and 2019. We found that bee abundance and species richness declined rapidly with stand age, decreasing by 61% and 48%, respectively, for every five years since timber harvest. Asymptotic estimates of Shannon and Simpson diversity were highest in stands 6-10 y post-harvest and lowest after the forest canopy had closed, approximately 11 y post-harvest. Bee communities in older stands were nested subsets of bee communities found in younger stands, indicating that changes were due to species loss rather than turnover as stands aged. Bee abundance - but not species richness - was positively associated with floral resource density, and neither metric was associated with floral richness. The amount of early seral forest in the surrounding landscape seemed to enhance bee species richness in older, closed-canopy stands, but otherwise had little effect. Changes in the relative abundance of bee species did not relate to bee functional characteristics such as sociality, diet breadth, or nesting substrate. Our study demonstrates that Douglas-fir plantations develop diverse communities of wild bees shortly after harvest, but those communities erode rapidly over time as forest canopies close. Therefore, stand-scale management activities that prolong the pre-canopy closure period and enhance floral resources during the initial stage of stand regeneration will provide the greatest opportunity to enhance bee diversity in landscapes dominated by intensively managed conifer forests. This article is protected by copyright. All rights reserved.
The creation of a solo-mother family – a qualitative study

Abstract The aim of this study was to explore women’s experiences of and perspectives on the process of creating a solo-mother family through assisted reproductive technology. This study was designed as an explorative, qualitative study. Semi-structured interviews were conducted face to face or by telephone to explore women’s experiences of and perspectives on creating a solo-mother family. We used systematic text condensation to analyse the data. Twenty solo mothers participated in the study and 38 interviews were conducted during and after pregnancy. Four themes related to the experiences of building a solo-mother family emerged from the data analysis: (1) Dealing with reactions on the choice to become pregnant by Medically Assisted Reproduction (MAR) and a solo mother, (2) Marketisation of motherhood, (3) Longing to be a ‘normal’ pregnant woman, (4) Grandparents as co-parents and leaning on siblings and friends. The women went through a process redefining themselves, because they considered the nuclear family as the ideal. They realised on a profound level that they were ‘on their own’. Generally, the woman’s biological family played a vital role, supporting her emotionally and in practical ways. The creation of a solo-mother family was often seen to take place with grandparents as co-parents. The women leaned to a less extent on close friends.