Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety of tralokinumab in adult patients with moderate‐to‐severe atopic dermatitis: pooled analysis of five randomized, double‐blind, placebo‐controlled phase II and phase III trials

Tralokinumab is a fully human monoclonal antibody that neutralizes the activity of interleukin‐13, a key pathogenic driver of atopic dermatitis (AD). Clinical trials including adults with moderate‐to‐severe AD, of up to 52 weeks’ duration, showed tralokinumab was efficacious and well tolerated.
Foveal vision anticipates defining features of eye movement targets

High-acuity foveal processing is vital for human vision. Nonetheless, little is known about how the preparation of large-scale rapid eye movements (saccades) affects visual sensitivity in the center of gaze. Based on findings from passive fixation tasks, we hypothesized that during saccade preparation, foveal processing anticipates soon-to-be fixated visual features. Using a dynamic large-field noise paradigm, we indeed demonstrate that defining features of an eye movement target are enhanced in the pre-saccadic center of gaze. Enhancement manifested as higher Hit Rates for foveal probes with target-congruent orientation and a sensitization to incidental, target-like orientation information in foveally presented noise. Enhancement was spatially confined to the center of gaze and its immediate vicinity, even after parafoveal task performance had been raised to a foveal level. Moreover, foveal enhancement during saccade preparation was more pronounced and developed faster than enhancement during passive fixation. Based on these findings, we suggest a crucial contribution of foveal processing to trans-saccadic visual continuity: Foveal processing of saccade targets commences before the movement is executed and thereby enables a seamless transition once the center of gaze reaches the target.
Intra-Subject Variability, Intelligence, and ADHD Traits in a Community-Based Sample

Objective: The present study investigates the predictive validity of intra-subject variability (ISV) for ADHD traits in a community-based sample and the stability of the relationship between ISV and fluid intelligence (gf) across the continuum of ADHD traits. Method: Age-residualized data from 426 participants (8–18 years, 6% ADHD) was used to investigate whether ex-Gaussian and DDM parameters derived from simple choice-reaction-time tasks can predict continuously assessed ADHD traits. Multiple-Group-Analyses and Latent-Moderated-Structural-Equations were used to test whether ADHD traits moderate the relationship between ISV and gf. Results: σ and μ of the ex-Gaussian model as well as DDM parameters drift rate (v) and boundary separation (a) significantly predicted general ADHD traits, while τ predicted attention difficulties specifically. Across the ADHD continuum, σ and v were significant predictors of gf. Conclusion: The results confirm the link between ISV and ADHD. The relationship between ISV and gf appears stable across the ADHD continuum.
The prognostic importance of the angiotensin II/angiotensin-(1–7) ratio in patients with SARS-CoV-2 infection

Background: Information about angiotensin II (Ang II), angiotensin-converting enzyme 2 (ACE2), and Ang-(1–7) levels in patients with COVID-19 is scarce. Objective: To characterize the Ang II–ACE2–Ang-(1–7) axis in patients with SARS-CoV-2 infection to understand its role in pathogenesis and prognosis. Methods: Patients greater than 18 years diagnosed with COVID-19, based on clinical findings and positive RT-PCR test, who required hospitalization and treatment were included. We compared Ang II, aldosterone, Ang-(1–7), and Ang-(1–9) concentrations and ACE2 concentration and activity between COVID-19 patients and historic controls. We compared baseline demographics, laboratory results (enzyme, peptide, and inflammatory marker levels), and outcome (patients who survived versus those who died). Results: Serum from 74 patients [age: 58 (48–67.2) years; 68% men] with moderate (20%) or severe (80%) COVID-19 were analyzed. During 13 (10–21) days of hospitalization, 25 patients died from COVID-19 and 49 patients survived. Compared with controls, Ang II concentration was higher and Ang-(1–7) concentration was lower, despite significantly higher ACE2 activity in patients. Ang II concentration was higher and Ang-(1–7) concentration was lower in patients who died. The Ang II/Ang-(1–7) ratio was significantly higher in patients who died. In multivariate analysis, Ang II/Ang-(1–7) ratio greater than 3.45 (OR = 5.87) and lymphocyte count ⩽0.65 × 103/µl (OR = 8.43) were independent predictors of mortality from COVID-19. Conclusion: In patients with severe SARS-CoV-2 infection, imbalance in the Ang II–ACE2–Ang-(1–7) axis may reflect deleterious effects of Ang II and may indicate a worse outcome.
Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults

Autistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18–35 years old) with a childhood diagnosis of autism spectrum disorder self‐reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory‐II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults.
Treating postpartum insomnia: a three arm randomised controlled trial of cognitive behavioural therapy and light dark therapy

Abstract Background Insomnia symptoms are common during the postpartum period, yet interventions remain scarce. This trial aimed to simultaneously examine the efficacy of cognitive behavioural therapy (CBT) and light dark therapy (LDT), targeting different mechanisms, against treatment-as-usual (TAU), in reducing maternal postpartum insomnia symptoms. Methods This three-arm randomised controlled trial recruited from the general community in Australia. Nulliparous females 4–12 months postpartum with self-reported insomnia symptoms [Insomnia Severity Index (ISI) scores >7] were included; severe medical/psychiatric conditions were excluded. Participants were randomised 1:1:1 to CBT, LDT, or TAU stratified by ISI (< or ⩾14) and infant age (< or ⩾8 months). Participants and principal investigators were unblinded. Six-week interventions were delivered via digital materials and telephone. The primary outcome was insomnia symptoms (ISI), assessed pre-, midpoint-, post- (primary endpoint), and one-month post-intervention. Analyses were intention-to-treat using latent growth models. Results 114 participants (CBT = 39, LDT = 36, TAU = 39; Mage = 32.20 ± 4.62 years) were randomised. There were significantly greater reductions in ISI scores in CBT and LDT (effect sizes −2.01 and −1.52 respectively, p < 0.001) from baseline to post-intervention compared to TAU; improvements were maintained at follow-up. Similar effects were observed for self-reported sleep disturbance. There were greater reductions in fatigue in CBT (effect size = 0.85, p < 0.001) but not LDT (p = 0.11) compared to TAU. Changes in sleepiness, depression, and anxiety were non-significant compared to TAU (all p > 0.08). Four participants (11%) in the LDT group reported headaches, dizziness, or nausea; no others reported adverse events. Conclusions Therapist-assisted CBT and LDT were feasible during the first postpartum year; data at post-intervention and 1-month follow-up support their safety and efficacy in reducing postpartum insomnia symptoms.
A Nonlinear Finite-Time Robust Differential Game Guidance Law

In this paper, a robust differential game guidance law is proposed for the nonlinear zero-sum system with unknown dynamics and external disturbances. First, the continuous-time nonlinear zero-sum differential game problem is transformed into solving the nonlinear Hamilton–Jacobi–Isaacs equation, a time-varying cost function is developed to reflect the fixed terminal time, and the robust guidance law is developed to compensate for the external disturbance. Then, a novel neural network identifier is designed to approximate the unknown nonlinear dynamics with online weight tuning. Subsequently, an online critic neural network approximator is presented to estimate the cost function, and time-varying activation functions are considered to deal with the fixed final time problem. An adaptive weight tuning law is given, where two additional terms are added to ensure the stability of the closed-loop nonlinear system and so as to meet the terminal cost at a fixed final time. Furthermore, the uniform ultimate boundedness of the closed-loop system and the critic neural network weights estimation error are proven based upon the Lyapunov approach. Finally, some simulation results are presented to demonstrate the effectiveness of the proposed robust differential game guidance law for nonlinear interception.
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray

Chest X-ray (CXR) is commonly performed as an initial investigation in COVID-19, whose fast and accurate diagnosis is critical. Recently, deep learning has a great potential in detecting people who are suspected to be infected with COVID-19. However, deep learning resulting with black-box models, which often breaks down when forced to make predictions about data for which limited supervised information is available and lack inter-pretability, still is a major barrier for clinical integration. In this work, we hereby propose a semantic-powered explainable model-free few-shot learning scheme to quickly and precisely diagnose COVID-19 with higher reliability and transparency. Specifically, we design a Report Image Explanation Cell (RIEC) to exploit clinically indicators derived from radiology reports as interpretable driver to introduce prior knowledge at training. Meanwhile, multi-task collaborative diagnosis strategy (MCDS) is developed to construct ${\boldsymbol{N}}$-way ${\boldsymbol{K}}$-shot tasks, which adopts a cyclic and collaborative training approach for producing better generalization performance on new tasks. Extensive experiments demonstrate that the proposed scheme achieves competitive results (accuracy of 98.91%, precision of 98.95%, recall of 97.94% and F1-score of 98.57%) to diagnose COVID-19 and other pneumonia infected categories, even with only 200 paired CXR images and radiology reports for training. Furthermore, statistical results of comparative experiments show that our scheme provides an interpretable window into the COVID-19 diagnosis to improve the performance of the small sample size, the reliability and transparency of black-box deep learning models. Our source codes will be released on https://github.com/AI-medical-diagnosis-team-of-JNU/SPEMFSL-Diagnosis-COVID-19.
Comparison of the accuracy between conventional and various digital implant impressions for an implant-supported mandibular complete arch fixed prosthesis: an in vitro study.

PURPOSE This in vitro study compared the accuracy between conventional and different intraoral scanner impression methods and stereophotogrammetry term of 3D deviation for a complete mandibular edentulous arch with 5 placed implants. MATERIALS AND METHODS An edentulous mandibular model was prepared with three straight and two 17° angled screw-retained abutments screwed on implants. Different impression techniques were compared: 1 conventional impression, CO (Open-tray splint impression coping, Polyether), 3 groups of intraoral scanners, TS (Trios 4), IT (iTero Element 2), and PS (Primescan), and 1 Stereophotogrammetry, PIC (Precise Implants Capture). An extraoral scanner (E4 scanner) was used to digitize the reference model as a control group. Scan body positions were compared with 3D deviation by using a 3D analysis software program (Geomagic ControlX 2020.1.1) with the best fit alignment technique. The accuracy of the scan bodies' position of each impression technique between each group area was analyzed using one-way ANOVA followed by Scheffé's comparison test for trueness and precision. (α = 0.05) RESULTS: Statistical 3D deviations of the whole scan body were found among the CO, TS, PS, IT, and PIC groups for both trueness (p < 0.05) and precision (p < 0.05). PIC showed the least 3D deviation of trueness (48.74 ± 1.80 μm) and precision (5.46 ± 1.10 μm), followed by TS, PS, IT, and CO. CO had the highest 3D deviation of trueness (141 ± 5.58 μm) and precision (40.4 ± 1.3.39 μm), which was significantly different from PIC, TS, and PS. CONCLUSION For completed-arch digital implant impressions, a stereophotogrammetry has shown better accuracy than other digital and conventional impression techniques, especially in terms of precision. The highest 3D deviation was found in the conventional splint open tray impression technique. This article is protected by copyright. All rights reserved.
Efficacy of a Decision Support Intervention on Decisional Conflict Related to Hepatocellular Cancer Treatment: A Randomized Controlled Trial

The purpose of this study was to investigate the efficacy of decision support intervention on treatment knowledge, decision self-efficacy, decisional conflict, and decision satisfaction in patients with hepatocellular cancer. The study was a randomized controlled trial. In all, 69 patients with hepatocellular carcinoma (HCC) were recruited and randomly assigned to a decision support group or a control group. Data were collected at baseline, post-test, and follow-up using self-report questionnaires. After controlling for baseline scores, the between-group difference (95% confidence interval [CI]) for treatment-related knowledge in post-test scores was 11.9 (6.1, 17.8). After controlling for baseline scores, the between-group difference (95% CI) for decisional conflict was −7.0 (−12.0, −2.0). There was no statistically significant between-group difference in decision self-efficacy and decision satisfaction. Findings supported the efficacy of decision support intervention to improve treatment knowledge and reduce decisional conflict but had no significant effect on decision self-efficacy and decision satisfaction in patients with HCC.
Hip and knee joint angle patterns and kicking velocity in female and male professional soccer players: A principal component analysis of waveforms approach

ABSTRACT This study used principal component analysis (PCA) of waveforms to extract movement patterns from hip and knee angle time-series data; and determined if the extracted movement patterns were predictors of ball velocity during a soccer kick. Twenty-three female and nineteen male professional soccer players performed maximal effort instep kicks while motion capture and post-impact ball velocities data were recorded. Three-dimensional hip and knee joint angle time-series data were calculated from the beginning of the kicking leg’s backswing phase until the end of the follow-through phase and entered into separate PCAs for females and males. Three principal components (PC) (i.e., movement patterns) were extracted and PC scores were calculated. Pearson correlation coefficients were calculated to establish correlations between hip and knee PC scores and kicking velocity. Results showed better kicking performance in male players was associated with a greater difference between the hip extension at the end of the backswing/beginning of the leg cocking phases and hip flexion at the end of the follow-through phase (r = −0.519, p = 0.023) and a delayed internal rotation of the hip (r = 0.475, p = 0.040). No significant correlations between ball velocity and hip and knee kinematics were found for female players.
Infant Feeding Practices and Social Support Networks Among Immigrant Chinese American Mothers With Economic Disadvantage in New York City

Background: Maternal social support promotes healthy infant feeding practices, which influence healthy growth and development. Less is known about how the interplay of social support networks and multicultural health beliefs may influence infant feeding practices, particularly among immigrant Chinese American mothers with economic disadvantage and low breastfeeding rates. Research Aim: To explore the role of social support networks in the development of infant feeding practices in immigrant Chinese American mothers with infants. Methods: This was a prospective, cross-sectional qualitative study where we conducted semi-structured interviews in Mandarin, Cantonese, or English with Chinese American mothers of infants (N = 25) at a federally qualified health center in the Sunset Park neighborhood of Brooklyn, New York. Data were analyzed by a multicultural, multidisciplinary team using qualitative thematic analysis and the constant comparative method to identify and iteratively refine emerging codes. Results: Three themes emerged describing how broad transnational communities and close family and friends influence maternal-infant feeding practices: (1) Gathering and processing infant feeding information from broad transnational resources (i.e., from both the mother’s country of residence and the mother’s country of origin); (2) aligning maternal feeding attitudes with cultural health beliefs of local social networks; and (3) gaining confidence with transactional maternal–infant feeding interactions. Conclusions: Strategies to promote healthy infant feeding should consider how family supports and culturally-relevant coaching can help align multilevel transnational social networks with healthy infant feeding practices.
Implications of attention and executive functioning weaknesses in youth with Fontan circulation

ABSTRACT Youth with Fontan circulation (Fontan) are at-risk for impairments in attention and executive functioning (EF) due to a confluence of genetic, prenatal, surgical, and medical risk factors. We sought to describe attention and EF in this population, measured via standardized performance-based tests and caregiver rating scales. We then examined how weaknesses in attention and EF were related to outcomes in other neurobehavioral domains, including adaptive behavior and academic achievement. Our sample included 93 youth with Fontan who were referred for neuropsychological evaluations as part of standard clinical care. The cohort as a whole measured between 0.18 to 0.99 standard deviations below normative means across domains of attention, EF, academic achievement, and intellectual ability. In addition, caregiver-reported concerns for attention, EF, anxiety, and depression were elevated, and approximately 0.35 to 0.85 standard deviations above normative means. Lastly, caregiver-reported adaptive behavior measured 0.93 to 1.24 standard deviations below normative values. Academic outcomes were differentially affected by demographic and attention/EF variables, while depression and caregiver-reported EF predicted adaptive behavior. Findings from this study underscore the importance of routine neuropsychological evaluation as part of comprehensive, multidisciplinary care for individuals with Fontan, with the goal of enhancing neurobehavioral and functional outcomes across the lifespan.
“You Know Nothing about How Alcohol Might Lead to Cancer!” Effects of Threatening and Hedging Languages on Intentions to Reduce and Stop Drinking

ABSTRACT Alcohol causes cancer, but many alcohol consumers are not aware of this risk. Research is needed to identify effective communication strategies to increase risk perceptions and decrease alcohol consumption. This study examined the effects of threatening and hedging languages in communicating the cancer risk associated with alcohol use. Results from a between-subjects experiment (N = 584) revealed a significant interaction effect: Threatening language combined with lexical hedges led to a higher perceived threat to drinker identity competence, which predicted higher intentions to reduce and stop drinking. Moreover, threatening language increased perceived threat to freedom, predicting greater reactance and lower behavioral intentions. Lastly, hedging increased perceived message tentativeness, predicting lower risk perceptions and behavioral intentions. Implications of our study were discussed.
A single-administration therapeutic interfering particle reduces SARS-CoV-2 viral shedding and pathogenesis in hamsters

Significance COVID-19 vaccines are exceptionally effective in preventing severe disease and death, but they have mixed efficacy in preventing virus transmission, consistent with established literature that parenteral vaccines for other viruses fail to prevent mucosal virus shedding or transmission. Likewise, small-molecule antivirals, while effective in reducing viral disease pathogenesis, also appear to have inconsistent efficacy in preventing respiratory virus transmission, including for SARS-CoV-2. Recently, we reported the discovery of a single-administration antiviral therapeutic interfering particle (TIP) against SARS-CoV-2 that prevents severe disease in hamsters and exhibits a high genetic barrier to the evolution of resistance. Here, we report that TIP intervention also reduces SARS-CoV-2 transmission between hamsters.
Evaluation of the usage of YouTube videos about Histology and Embryology as an educational material

The use of YouTube videos for educational purposes has been increasingly popular. The quality and accuracy of the information level of these videos should be checked by expert trainers. This study aims to evaluate the content, quality and functionality of YouTube videos on Histology and Embryology and to measure their educational usefulness. In the study, searches were performed using the keywords “Histology” and “Embryology” in the YouTube search tab. Quality and content were evaluated using the Video Power Index (VPI), modified DISCERN scale, JAMA and the Global Quality Scale (GQS). Videos were categorized by educational usefulness. SPSS software was used for statistical analysis. A statistically significant high correlation was observed between modified DISCERN scores and JAMA scores (r = 0.757, p < 0.001) and between modified DISCERN scores and GQS scores (r = 0.743, p < 0.001). A statistically significant high correlation was also determined between JAMA and GQS scores (r = 0.632, p < 0.001). GQS scores were weakly, negatively and significantly correlated with the number of comments (r = −0.302, p < 0.05) and dislikes (r = −0.325, p < 0.05). Based on GQS, the useful and non‐useful videos differed significantly in terms of views, likes, dislikes, comments counts and days since upload (p < 0.05). Modified DISCERN and JAMA scores also differed significantly between the useful and non‐useful videos (p < 0.001). Educational videos published for Histology and Embryology education on the internet will be more beneficial if they are prepared by expert educators from reliable information sources, by the current literature, and by scoring systems such as DISCERN, JAMA and GQS.