Miracle-dz/UniFAR-FTUs huggingface dataset:
Advancing Trauma-Informed Care Education for Hospice and Palliative Staff

Nurses play an essential role in managing mental health conditions, such as posttraumatic stress disorder (PTSD), especially in rural areas where access to mental health care is limited. Posttraumatic stress disorder may emerge at the end of life and complicate health care and is a particular concern for aging Vietnam veterans. We describe the development of 3 videos that illustrate how to recognize PTSD, respond to trauma disclosures, and manage PTSD in cognitive impairment during an in-home hospice nurse visit. Through problem identification and needs assessment, we identified 6 goals and 28 specific content objectives presented through cinematic action with flashbacks or voice-over narration with graphics. Videos were evaluated through a survey (N = 155) and analysis of “chat” responses (N = 186) to targeted questions during a webinar presentation to clinicians (N = 345). Approximately 75% rated videos as “very much” relevant to needs, having helped learn something new, and realistic. Analysis of chat responses showed videos conveyed most content objectives (92%). In addition, participants stated videos were helpful in demonstrating nursing skills of listening, responding, and displaying empathy, as well as showing case presentations involving cognitive impairment and the patient experience. Participants expressed a desire for longer videos/more information including a wider range of PTSD presentations and comorbidities.
Words are not just words: how the use of media language in the COVID-19 era affects public health

OBJECTIVES Language can shape the way we perceive the world. In this paper, we investigated how exposure to media texts containing alarming and militaristic language affects peoples’ notions regarding coronavirus disease 2019 (COVID-19) and the consequences of this effect for public health. METHODS After reading a passage including either alarming and militaristic or neutral terminology on COVID-19, participants completed a questionnaire in which they answered 4 questions on a 7-point Likert scale. The questions assessed participants’ notions on the end of the pandemic, vaccine effectiveness, and the consequences of COVID-19 for economies and mental health. Ordinal regression models in R were used for the analysis. RESULTS Individuals who were exposed to alarming and militaristic language expressed more pessimistic notions regarding COVID-19 than those who were exposed to more neutral language. However, both groups of individuals had similar notions regarding vaccine effectiveness. CONCLUSIONS The media should redefine the language they use for the description of the pandemic, considering that the extensive use of alarming and militaristic terminology may have a negative impact on public health.
Mesenchymal stem cells seeded onto nanofiber scaffold for myocardial regeneration

ABSTRACT Cardiac disease is the leading cause of mortality and disability worldwide. We investigated the role of undifferentiated adipose tissue-derived mesenchymal stem cells (ADMSC) alone and ADMSC seeded onto the electro-spun nanofibers (NF) for reconstructing damaged cardiac tissue in isoprenaline-induced myocardial infarction (MI) in rats. ADMSC were sorted by morphological appearance and by detection of cluster of differentiation (CD) surface antigens. The therapeutic potential of ADMSC for treating MI was evaluated by electrocardiogram (ECG), biochemical analysis, molecular genetic analysis and histological examination. Treatment of MI-challenged rats with ADMSC improved ECG findings, which were corroborated by significant decreases in serum lactate dehydrogenase (LDH) and creatine kinase-MB (CK-MB) enzyme activities together with reduced serum troponin T (cTnT) and connexin 43 (Cx43) levels. MI model rats treated with ADMSC exhibited a significant increase in serum alpha sarcomeric actin (Actn) and GATA binding protein 4 (GATA4), and NK2 homeobox 5 (NKX2.5) gene expression was decreased following treatment with ADMSC. ADMSC also ameliorated damage to cardiac tissue. The effects of ADMSC seeded onto NF were superior to those of ADMSC alone. ADMSC may be useful for mitigation of MI.
Reliance on semantic and structural heuristics in sentence comprehension across the lifespan

People sometimes misinterpret the sentences that they read. One possible reason suggested in the literature is a race between slow bottom-up algorithmic processing and “fast and frugal” top-down heuristic processing that serves to support fast-paced communication but sometimes results in incorrect representations. Heuristic processing can be both semantic, relying on world knowledge and semantic relations between words, and structural, relying on structural economy. Scattered experimental evidence suggests that reliance on heuristics may change from greater reliance on syntactic information in younger people to greater reliance on semantic information in older people. We tested whether the reliance on structural and semantic heuristics changes with age in 137 Russian-speaking adolescents, 135 young adults, and 77 older adults. In a self-paced reading task with comprehension questions, participants read unambiguous high- versus low-attachment sentences that were either semantically plausible or implausible: i.e., the syntactic structure either matched or contradicted the semantic relations between words. We found that the use of top-down heuristics in comprehension increased across the lifespan. Adolescents did not rely on structural heuristics, in contrast to young and older adults. At the same time, older adults relied on semantic heuristics more than young adults and adolescents. Importantly, we found that top-down heuristic processing was faster than bottom-up algorithmic processing: slower reading times were associated with greater accuracy specifically in implausible sentences.
Strengthening National Capacities for Pandemic Preparedness: A Cross-Country Analysis of COVID-19 Cases and Deaths

Abstract The International Health Regulation—State Party Annual Reporting (IHR-SPAR) and the Global Health Security Index (GHSI)) have been developed to aid in strengthening national capacities for pandemic preparedness. We examine the relationship between country-level rankings on these two indices, along with two additional indices (the Universal Health Coverage Service Coverage Index and World Bank Worldwide Governance Indicator (n = 195)) and compared them to the country-level reported COVID-19 cases and deaths (Johns Hopkins University (JHU) COVID-19 Dashboard) through 17 June 2020. Ordinary least squares regression models were used to compare weekly reported COVID-19 case and death rates per million in the first 12 weeks of the pandemic between countries classified as low, middle, and high ranking on each index, while controlling for country socio-demographic information. Countries with higher GHSI and IHR-SPAR index scores experienced fewer reported COVID-19 cases and deaths, but only for the first 8 weeks after the country’s first case. For the GHSI, this association was further limited to countries with populations below 69.4 million. For both the GHSI and IHR-SPAR, countries with a higher sub-index score in human resources for pandemic preparedness reported fewer COVID-19 cases and deaths in the first 8 weeks after the country’s first reported case. The UHC-SCI and WGI country-level rankings were not associated with COVID-19 outcomes. The associations between GHSI and IHR-SPAR scores and COVID-19 outcomes observed in this study demonstrate that these two indices, although imperfect, may have value, especially in countries with a population under 69.4 million people for the GHSI. Preparedness indices may have value; however, they should continue to be evaluated as policymakers seek to better prepare for future global public health crises.
Neuroanatomical markers of familial risk in adolescents with conduct disorder and their unaffected relatives

Abstract Background Previous studies have reported brain structure abnormalities in conduct disorder (CD), but it is unclear whether these neuroanatomical alterations mediate the effects of familial (genetic and environmental) risk for CD. We investigated brain structure in adolescents with CD and their unaffected relatives (URs) to identify neuroanatomical markers of familial risk for CD. Methods Forty-one adolescents with CD, 24 URs of CD probands, and 38 healthy controls (aged 12–18), underwent structural magnetic resonance imaging. We performed surface-based morphometry analyses, testing for group differences in cortical volume, thickness, surface area, and folding. We also assessed the volume of key subcortical structures. Results The CD and UR groups both displayed structural alterations (lower surface area and folding) in left inferior parietal cortex compared with controls. In contrast, CD participants showed lower insula and pars opercularis volume than controls, and lower surface area and folding in these regions than controls and URs. The URs showed greater folding in rostral anterior cingulate and inferior temporal cortex than controls and greater medial orbitofrontal folding than CD participants. The surface area and volume differences were not significant when controlling for attention-deficit/hyperactivity disorder comorbidity. There were no group differences in subcortical volumes. Conclusions These findings suggest that alterations in inferior parietal cortical structure partly mediate the effects of familial risk for CD. These structural changes merit investigation as candidate endophenotypes for CD. Neuroanatomical changes in medial orbitofrontal and anterior cingulate cortex differentiated between URs and the other groups, potentially reflecting neural mechanisms of resilience to CD.
The EGFRvIII transcriptome in glioblastoma: A meta-omics analysis

Abstract Background EGFR is among the genes most frequently altered in glioblastoma, with exons 2-7 deletions (EGFRvIII) being among its most common genomic mutations. There are conflicting reports about its prognostic role and it remains unclear whether and how it differs in signaling compared with wildtype EGFR. Methods To better understand the oncogenic role of EGFRvIII, we leveraged 4 large datasets into 1 large glioblastoma transcriptome dataset (n = 741) alongside 81 whole-genome samples from 2 datasets. Results The EGFRvIII/EGFR expression ratios differ strongly between tumors and range from 1% to 95%. Interestingly, the slope of relative EGFRvIII expression is near-linear, which argues against a more positive selection pressure than EGFR wildtype. An absence of selection pressure is also suggested by the similar survival between EGFRvIII-positive and -negative glioblastoma patients. EGFRvIII levels are inversely correlated with pan-EGFR (all wildtype and mutant variants) expression, which indicates that EGFRvIII has a higher potency in downstream pathway activation. EGFRvIII-positive glioblastomas have a lower CDK4 or MDM2 amplification incidence than EGFRvIII-negative (P = .007), which may point toward crosstalk between these pathways. EGFRvIII-expressing tumors have an upregulation of “classical” subtype genes compared to those with EGFR-amplification only (P = 3.873e−6). Genomic breakpoints of the EGFRvIII deletions have a preference toward the 3′-end of the large intron-1. These preferred breakpoints preserve a cryptic exon resulting in a novel EGFRvIII variant and preserve an intronic enhancer. Conclusions These data provide deeper insights into the complex EGFRvIII biology and provide new insights for targeting EGFRvIII mutated tumors.
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint

Medical images from multicentres often suffer from the domain shift problem, which makes the deep learning models trained on one domain usually fail to generalize well to another. One of the potential solutions for the problem is the generative adversarial network (GAN), which has the capacity to translate images between different domains. Nevertheless, the existing GAN-based approaches are prone to fail at preserving image-objects in image-to-image (I2I) translation, which reduces their practicality on domain adaptation tasks. In this regard, a novel GAN (namely IB-GAN) is proposed to preserve image-objects during cross-domain I2I adaptation. Specifically, we integrate the information bottleneck constraint into the typical cycle-consistency-based GAN to discard the superfluous information (e.g., domain information) and maintain the consistency of disentangled content features for image-object preservation. The proposed IB-GAN is evaluated on three tasks—polyp segmentation using colonoscopic images, the segmentation of optic disc and cup in fundus images and the whole heart segmentation using multi-modal volumes. We show that the proposed IB-GAN can generate realistic translated images and remarkably boost the generalization of widely used segmentation networks (e.g., U-Net).
3D Talking Face with Personalized Pose Dynamics

Recently, we have witnessed a boom in applications for 3D talking face generation. However, most existing 3D face generation methods can only generate 3D faces with a static head pose, which is inconsistent with how humans perceive faces. Only a few papers focus on head pose generation, but even these ignore the attribute of personality. In this paper, we propose a unified audio-driven approach to endow 3D talking faces with personalized pose dynamics. To achieve this goal, we establish an original person-specific dataset, providing corresponding head poses and face shapes for each video. Our framework is composed of two separate modules: PoseGAN and PGFace. Given an input audio, PoseGAN first produces a head pose sequence for the 3D head, and then, PGFace utilizes the audio and pose information to generate natural face models. With the combination of these two parts, a 3D talking head with dynamic head movement can be constructed. Experimental evidence indicates that our method can generate person-specific head pose sequences that are in sync with the input audio and that best match with the human experience of talking heads.
Exome sequencing and targeted gene panels: a simulated comparison of diagnostic yield using data from 158 patients with rare diseases

Abstract Next-generation sequencing (NGS) has altered clinical genetic testing by widening the access to molecular diagnosis of genetically determined rare diseases. However, physicians may face difficulties selecting the best diagnostic approach. Our goal is to estimate the rate of possible molecular diagnoses missed by different targeted gene panels using data from a cohort of patients with rare genetic diseases diagnosed with exome sequencing (ES). For this purpose, we simulated a comparison between different targeted gene panels and ES: the list of genes harboring clinically relevant variants from 158 patients was used to estimate the theoretical rate of diagnoses missed by NGS panels from 53 different NGS panels from eight different laboratories. Panels presented a mean rate of missed diagnoses of 64% (range 14%-100%) compared to ES, representing an average predicted sensitivity of 36%. Metabolic abnormalities represented the group with highest mean of missed diagnoses (86%), while seizure represented the group with lowest mean (46%). Focused gene panels are restricted in covering select sets of genes implicated in specific diseases and they may miss molecular diagnoses of rare diseases compared to ES. However, their role in genetic diagnosis remains important especially for well-known genetic diseases with established genetic locus heterogeneity.
Allen Orr and the genetics of adaptation

Over most of the 20th century, evolutionary biologists predominantly subscribed to a strong form of “micro‐mutationism,” in which adaptive phenotypic divergence arises from allele frequency changes at many loci, each with a small effect on the phenotype. To be sure, there were well‐known examples of large‐effect alleles contributing to adaptation, yet such cases were generally regarded as atypical and unrepresentative of evolutionary change in general. In 1998, Allen Orr published a landmark theoretical paper in Evolution, which showed that both small‐ and large‐effect mutations are likely to contribute to “adaptive walks” of a population to an optimum. Coupled with a growing set of empirical examples of large‐effect alleles contributing to divergence (e.g., from QTL studies), Orr's paper provided a mathematical formalism that converted many evolutionary biologists from micro‐mutationism to a more pluralistic perspective on the genetic basis of evolutionary change. We revisit the theoretical insights emerging from Orr's paper within the historical context leading up to 1998, and track the influence of this paper on the field of evolutionary biology through an examination of its citations over the last two decades and an analysis of the extensive body of theoretical and empirical research that Orr's pioneering paper inspired.
Topoisomerase Assays

Topoisomerases are enzymes that play essential roles in DNA replication, transcription, chromosome segregation, and recombination. All cells have two major forms of DNA topoisomerases: type I enzymes, which make single‐stranded cuts in DNA, and type II enzymes, which cut and decatenate double‐stranded DNA. DNA topoisomerases are important targets of approved and experimental anti‐cancer agents. Provided in this article are protocols to assess activities of topoisomerases and their inhibitors. Included are an assay for topoisomerase I activity based on relaxation of supercoiled DNA; an assay for topoisomerase II based on the decatenation of double‐stranded DNA; and approaches for enriching and quantifying DNA‐protein covalent complexes formed as obligatory intermediates in the reactions of type I and II topoisomerases with DNA; and assays for measuring DNA cleavage in vitro. Topoisomerases are not the only proteins that form covalent adducts with DNA in living cells, and the approaches described here are likely to find use in characterizing other protein‐DNA adducts and exploring their utility as targets for therapy. © 2021 Wiley Periodicals LLC.
Alcohol Intake and Endogenous Hormones in Pre- and Postmenopausal Women: Findings from the UK Biobank

Background: Alcohol intake may influence breast cancer risk in women through hormonal changes, but the evidence to date is inconclusive. We investigated cross-sectional associations between habitual alcohol intake and serum concentrations of testosterone, sex hormone binding globulin (SHBG), insulin-like growth factor-1 (IGF-1), and estradiol (premenopausal women only) in UK Biobank. Methods: We included 30,557 premenopausal and 134,029 postmenopausal women aged between 40 and 69 years when recruited between 2006 and 2010. At their initial assessment visit, habitual alcohol intake was assessed using a touchscreen questionnaire, and serum hormone concentrations were assayed. Multivariable linear regression analysis was performed. Results: Per 10 g/day increment in alcohol intake, testosterone concentration was 3.9% [95% confidence intervals (CI): 3.3%–4.5%] higher in premenopausal women and 2.3% (1.8%–2.7%) higher in postmenopausal women (Pheterogeneity < 0.0001); SHBG concentration was 0.7% (0.2%–1.1%) higher in premenopausal women and 2.4% (2.2%–2.6%) lower in postmenopausal women (Pheterogeneity < 0.0001); and IGF-1 concentration was 1.9% (1.7%–2.1%) lower in premenopausal women and 0.8% (0.6%–0.9%) lower in postmenopausal women (Pheterogeneity < 0.0001). In premenopausal women, there was no significant overall association of alcohol with estradiol but a positive association was observed in the early and mid-luteal phases: 1.9% (95% CI: 0.2%–3.6%) and 2.4% (95% CI: 0.7%–4.2%) higher, respectively. Conclusions: This study confirms significant but modest associations between alcohol intake and hormones, with evidence of heterogeneity by menopausal status. Impact: The findings facilitate better understanding of whether alcohol intake influences hormone concentrations, but further work is necessary to fully understand the mechanisms linking alcohol with cancer risk.
Orthodontic space closure in sliding mechanics: a systematic review and meta-analysis.

BACKGROUND/OBJECTIVES The aim of this systematic review was to compare the different force delivery systems for orthodontic space closure by sliding mechanics. SEARCH METHODS Multiple sources including Cochrane Central, Ovid Medline, Embase etc. were used to identify all relevant studies. SELECTION CRITERIA Randomized controlled trials (RCT) of parallel-group and split-mouth designs were included. PARTICIPANTS Orthodontic patients of any age treated with fixed orthodontic appliances and requiring space closure. DATA COLLECTION AND ANALYSIS Search result screening, data extraction and quality assessment were performed independently and in duplicate by 2 reviewers. The included studies were grouped into parallel-arm and split-mouth studies and subgroup analysis was then performed for the type of retraction subsets; en-masse and individual canine retraction. A traditional meta-analysis, and network meta-analysis (NMA) for direct and indirect comparisons for the rate of space closure were performed. RESULTS Thirteen studies, six parallel-arm and seven split-mouth were included. The traditional meta-analysis comparing Nickel-titanium (NiTi) closed coil springs and elastomeric power chain for the rate of tooth movement showed statistically significant difference favouring NiTi springs (MD: 0.24; 95% CI, 0.03-0.45; I2 0%, P = 0.02) and the comparison between NiTi springs and active ligatures also showed statistically significant result favouring NiTi springs (MD: 0.53; 95% CI, 0.44-0.63; I2 0%, P ˂ 0.00001) for the rate of tooth movement. NMA for the rate of space closure showed fairly confident evidence for NiTi coil springs when compared with elastomeric chain and active ligatures. The NiTi coil spring ranked best between all methods of space closure. CONCLUSIONS There is moderate quality evidence in favour of NiTi coil springs for the rate of space closure when compared with active ligature and low quality of evidence favouring NiTi springs when compared with elastomeric chain. The ranking from NMA showed NiTi coil springs to be the best method for space closure with 99% chance. An urgent need for standardization of study designs and the need for development of an agreed core outcome sets and core outcome instrument measurement sets is evident. REGISTRATION PROSPERO CRD42020157811.
Leader–Follower Formation Learning Control of Discrete-Time Nonlinear Multiagent Systems

This article investigates the leader–follower formation learning control (FLC) problem for discrete-time strict-feedback multiagent systems (MASs). The objective is to acquire the experience knowledge from the stable leader–follower adaptive formation control process and improve the control performance by reusing the experiential knowledge. First, a two-layer control scheme is proposed to solve the leader–follower formation control problem. In the first layer, by combining adaptive distributed observers and constructed $i_{n}$ -step predictors, the leader’s future state is predicted by the followers in a distributed manner. In the second layer, the adaptive neural network (NN) controllers are constructed for the followers to ensure that all the followers track the predicted output of the leader. In the stable formation control process, the NN weights are verified to exponentially converge to their optimal values by developing an extended stability corollary of linear time-varying (LTV) system. Second, by constructing some specific “learning rules,” the NN weights with convergent sequences are synthetically acquired and stored in the followers as experience knowledge. Then, the stored knowledge is reused to construct the FLC. The proposed FLC method not only solves the leader–follower formation problem but also improves the transient control performance. Finally, the validity of the presented FLC scheme is illustrated by simulations.