Miracle-dz/UniFAR-FTUs huggingface dataset:
Gestational Age and Risk of Mortality in Term-Born Critically Ill Neonates Admitted to PICUs in Australia and New Zealand.

OBJECTIVES Gestational age at birth is declining, probably because more deliveries are being induced. Gestational age is an important modifiable risk factor for neonatal mortality and morbidity. We aimed to investigate the association between gestational age and mortality in hospital for term-born neonates (≥ 37 wk') admitted to PICUs in Australia and New Zealand. DESIGN Observational multicenter cohort study. SETTING PICUs in Australia and New Zealand. PATIENTS Term-born neonates (≥ 37 wk') admitted to PICUs. INTERVENTIONS None MEASUREMENTS AND MAIN RESULTS:: We studied 5,073 infants born with a gestational age greater than or equal to 37 weeks and were less than 28 days old when admitted to a PICU in Australia or New Zealand between 2007 and 2016. The association between gestational age and mortality was estimated using a multivariable logistic regression model, adjusting for age, sex, indigenous status, Pediatric Index of Mortality version 2, and site. The median gestational age was 39.1 weeks (interquartile range, 38.2-40 wk) and mortality in hospital was 6.6%. Risk of mortality declined log-linearly with gestational age. The adjusted analysis showed a 20% (95% CI, 11-28%) relative reduction in mortality for each extra week of gestation beyond 37 weeks. The effect of gestation was stronger among those who received extracorporeal life support: each extra week of gestation was associated with a 44% (95% CI, 25-57%) relative reduction in mortality. Longer gestation was also associated with reduced length of stay in hospital: each week increase in gestation, the average length of stay decreased by 4% (95% CI, 2-6%). CONCLUSIONS Among neonates born at "term" who are admitted to a PICU, increasing gestational age at birth is associated with a substantial reduction in the risk of dying in hospital. The maturational influence on outcome was more strongly noted in the sickest neonates, such as those requiring extracorporeal life support. This information is important in view of the increasing proportion of planned births in both high- and low-/middle-income countries.
Lopinavir-ritonavir versus hydroxychloroquine for viral clearance and clinical improvement in patients with mild to moderate coronavirus disease 2019

Background/Aims The efficacies of lopinavir-ritonavir or hydroxychloroquine remain to be determined in patients with coronavirus disease 2019 (COVID-19). To compare the virological and clinical responses to lopinavir-ritonavir and hydroxychloroquine treatment in COVID-19 patients. Methods This retrospective cohort study included patients with COVID-19 treated with lopinavir-ritonavir or hydroxychloroquine at a single center in Korea from February 17 to March 31, 2020. Patients treated with lopinavir-ritonavir and hydroxychloroquine concurrently and those treated with lopinavir-ritonavir or hydroxychloroquine for less than 7 days were excluded. Time to negative conversion of viral RNA, time to clinical improvement, and safety outcomes were assessed after 6 weeks of follow-up. Results Of 65 patients (mean age, 64.3 years; 25 men [38.5%]), 31 were treated with lopinavir-ritonavir and 34 were treated with hydroxychloroquine. The median duration of symptoms before treatment was 7 days and 26 patients (40%) required oxygen support at baseline. Patients treated with lopinavir-ritonavir had a significantly shorter time to negative conversion of viral RNA than those treated with hydroxychloroquine (median, 21 days vs. 28 days). Treatment with lopinavir-ritonavir (adjusted hazard ratio [aHR], 2.28; 95% confidence interval [CI], 1.24 to 4.21) and younger age (aHR, 2.64; 95% CI 1.43 to 4.87) was associated with negative conversion of viral RNA. There was no significant difference in time to clinical improvement between lopinavir-ritonavir- and hydroxychloroquine-treated patients (median, 18 days vs. 21 days). Lymphopenia and hyperbilirubinemia were more frequent in lopinavir-ritonavir-treated patients compared with hydroxychloroquine-treated patients. Conclusions Lopinavir-ritonavir was associated with more rapid viral clearance than hydroxychloroquine in mild to moderate COVID-19, despite comparable clinical responses. These findings should be confirmed in randomized, controlled trials.
Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies

An antibody cocktail against SARS-CoV-2 There is an urgent focus on antibodies that target the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral spike and prevent the virus from entering host cells. Hansen et al. generated a large panel of antibodies against the spike protein from humanized mice and recovered patients. From this panel, they identified several neutralizing antibodies, including pairs that do not compete for binding to the receptor binding domain. Baum et al. focused in on four of these antibodies. All four are effective against known spike variants. However, by growing a pseudovirus that expresses the spike in the presence of individual antibodies, the authors were able to select for spike mutants resistant to that antibody. In contrast, escape mutants are not selected when pseudovirus is grown in the presence of pairs of antibodies that either do not compete or only partially compete for binding to the RBD. Such a pair might be used in a therapeutic antibody cocktail. Science, this issue p. 1010, p. 1014 A noncompeting antibody cocktail to SARS-CoV-2 spike protein safeguards against the ability of virus mutations to lead to antibody resistance. Antibodies targeting the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) present a promising approach to combat the coronavirus disease 2019 (COVID-19) pandemic; however, concerns remain that mutations can yield antibody resistance. We investigated the development of resistance against four antibodies to the spike protein that potently neutralize SARS-CoV-2, individually as well as when combined into cocktails. These antibodies remain effective against spike variants that have arisen in the human population. However, novel spike mutants rapidly appeared after in vitro passaging in the presence of individual antibodies, resulting in loss of neutralization; such escape also occurred with combinations of antibodies binding diverse but overlapping regions of the spike protein. Escape mutants were not generated after treatment with a noncompeting antibody cocktail.
Prevalence of stroke in Argentina: A door-to-door population-based study (EstEPA)

Background Stroke burden is highest and is still rising in low- and middle-income countries. Epidemiologic stroke data are lacking in many of these countries. Stroke prevalence in Argentina has been unexplored for almost three decades. Aim This population-based study aims to determine prevalence of stroke in a representative sample of the Argentinean population. Methods We performed a door-to-door survey of randomly selected households in a city of 18,650 inhabitants. A structured questionnaire screening for potential stroke cases was used. All subjects screened positive were then evaluated by stroke neurologists for final adjudication. Data about stroke subtypes, neurological status, vascular risk factors, medications, and diagnostic tests were also collected. Results Among 2156 surveys, 294 were screened positive for a possible stroke. After neurological evaluation, there were 41 confirmed cases. The adjusted stroke prevalence was 1,974/100,000 inhabitants older than 40 years, and it was higher in men than in women (26.3‰ vs 13.2‰, p<0.01). Prevalence of ischemic stroke, intracranial hemorrhage, and transient ischemic attack were 15.8‰, 2.93‰, and 2.93‰, respectively. The most prevalent vascular risk factors in stroke survivors were hypertension, obstructive sleep apnea, and dyslipidemia. Conclusion Approximately 2 in every 100 subjects older than 40 years in this population are stroke survivors. Stroke prevalence in Argentina has remained stable over the last 30 years; it is higher than in most Latin American countries and similar to western populations.
Maternal Reminiscing Is Associated With Preschoolers’ Reports of Maltreatment During Forensic Interviews

Children’s reports during forensic interviews regarding maltreatment allegations are often critical for legal processes and for guiding decisions regarding services for children and their families. Field research examining forensic interviews with children has identified a wide range in the amount of information children report to interviewers. Research examining associations between children’s forensic reports and their broader ecological and developmental contexts related to autobiographical memory would critically contribute to our understanding of children’s reports of trauma during forensic investigations. Guided by the sociocultural theory of autobiographical memory development and a self-determination perspective of interviewing child witnesses, associations between the number of allegation-relevant details reported by 52 preschoolers (M = 4.59 years old, SD = 1.06) during forensic interviews concerning substantiated maltreatment allegations and later maternal elaborative and autonomy supportive reminiscing from observations of mother–child interactions during a laboratory assessment were examined. Consistent with previous research regarding children’s autobiographical memory, a positive association between maternal elaborative reminiscing about everyday experiences with their children and the number of unique allegation-relevant details children reported during forensic interviews was observed, but only when mothers reminisced with their children in an autonomy supportive manner. Theoretical and practical implications for interviewing child witnesses are discussed.
Graduate student literature review: The past and future of soy protein in calf nutrition.

Our objective with this review is to encourage more research about the use of soy protein in young calf diets by learning from the mistakes of the past and acknowledging the promising results found when modern techniques are applied to treat soybeans. Total or partial substitution of milk proteins with soy proteins can represent a substantial increase in the economic efficiency of calf diets as long as it does not affect calf performance. Unfortunately, the results found in the literature indicate that the inclusion of soy protein in diets of young calves usually diminishes growth and health outcomes. The interaction of the antinutritional factors and antigenic proteins in soybeans with the gastrointestinal tract triggers a physiological response with negative consequences for the digestive tract and immune system of the calf. In this article, we highlight the importance of a correct processing method of soybeans by reviewing some of the published research that has evaluated different soy-based ingredients in diets for young calves. Conventional methods such as heating, ethanol extraction, and protein isolation can produce favorable results provided that the final product contains minimum or null amounts of antigenic and antinutritional factors. More recently, further processing methods such as microbial treatment of soybean meal reduces those antinutritional and antigenic factors, and can also increase the quality of soy protein by reducing the peptide size and by triggering the release of bioactive compounds. Experiments in which soy protein modified by this method was fed have increased in the scientific literature during the last decade due to the favorable results obtained in calves as well as in monogastric animals.
An exploration of aphasia therapy dosage in the first six months of stroke recovery

ABSTRACT Aphasia research uses the length of time within rehabilitation sessions as the main measure of dosage. Few papers detail therapeutic ingredients or outline the number of times these were delivered over the treatment period. The present observational study identified therapeutic ingredients in the Very Early Rehabiltiation in SpEech (VERSE) trial and explored the dosage provided using a model of cumulative intervention intensity (CII). Therapists video recorded one therapy session per week and 53 (12%) randomly selected therapy videos were analysed. The videos were coded for number of error productions, self-corrections and type and frequency of therapist cueing. The Western Aphasia Battery Revised-Aphasia Quotient (WABR-AQ) was used for measuring patient outcome with total verbal utterances (p < 0.001) and cues used with success (p < 0.001) being independent positive predictors of WABR-AQ score at six months post stroke and hypothesized as key therapeutic ingredients. The CII was calculated by counting identified therapeutic ingredients and multiplying this by the number of sessions completed. Collectively, the key ingredients occurred on average 504 times per session and over 10,000 times per participant during the treatment period. This paper reports a novel approach for identifying key treatment ingredients and detailing the dosage delivered within an early aphasia rehabilitation trial.
Lay and scientific categorizations of new breeding techniques: Implications for food policy and genetically modified organism legislation

The rapid development of new genetic breeding techniques is accompanied by a polarized debate around their risks. Research on the public perception of these techniques lags behind scientific developments. This study tests a method for revealing laypeople’s perceptions and attitudes about different genetic techniques. The objectives are to enable laypeople to understand the key principles of new genetic breeding techniques and to permit a comparison of their modes of classification with those of scientific experts. The combined method of a free sorting task and focus groups showed that the participants distinguished the techniques that did not induce any change in DNA sequence, and applied two different logics to classify the other breeding techniques: a Cartesian logic and a naturalistic logic with a distinct set of values. The lay categorization differed substantially from current scientific categorizations of genetic breeding techniques. These findings have implications for food innovation policy and genetically modified organism legislation.
Innovative decision support for scoliosis brace therapy based on statistical modelling of markerless 3D trunk surface data

Abstract Recently markerless 3D scanning methods receive an increased interest for therapy planning and brace treatment of patients with scoliosis. This avoids repeated radiation known from standard X-Ray analysis. Several authors introduced the method of asymmetry distance maps in order to classify curve severity and progression. The current work extends this approach by statistical mean shape 3D models of the human trunk in order to classify patients. 50 patients were included in this study performing frontal X-ray and 3D scanning analysis. All patients were classified by a clinician according to their Cobb angle and spinal curve pattern (Augmented-Lehnert-Schroth ALS). 3D reconstructions of each patient trunk were processed in a way to elastically register a reference surface mesh with fixed number of data points. Mean 3D shape models were generated for each curve pattern. An asymmetry distance map was then calculated for each patient and mean shape model. Single patient 3D reconstructions were classified according to severity and ALS treatment group. Optimal sensitivity and specificity was 97%/39% thoracic and 87%/42% lumbar respectively for detecting mild and moderate-severe patients. Identifying a treatment group was possible for three combined groups allowing to support decisions during diagnosis and therapy planning.
The Afirma Xpression Atlas for thyroid nodules and thyroid cancer metastases: Insights to inform clinical decision‐making from a fine‐needle aspiration sample

Recent analytical and clinical validation of the Afirma Xpression Atlas (XA) demonstrates test reliability and the identification of genomic alterations that may inform patient management. The updated Afirma Genomic Sequencing Classifier and XA reports aim to optimize the understanding of these contributions, including decisions about observation versus surgery, the need for disease‐specific preoperative testing, associated neoplasm types, prognostics, the identification of molecular targets for systemic therapy, and the recognition of potential hereditary syndromes.
Genomic evidence for gene flow between monarchs with divergent migratory phenotypes and flight performance

Monarch butterflies are known for their spectacular annual migration in eastern North America, with millions of monarchs flying up to 4,500 km to overwintering sites in central Mexico. Monarchs also live west of the Rocky Mountains, where they travel shorter distances to overwinter along the Pacific Coast. It is often assumed that eastern and western monarchs form distinct evolutionary units, but genomic studies to support this notion are lacking. We used a tethered flight mill to show that migratory eastern monarchs have greater flight performance than western monarchs, consistent with their greater migratory distances. However, analysing more than 20 million SNPs in 43 monarch genomes, we found no evidence for genomic differentiation between eastern and western monarchs. Genomic analysis also showed identical and low levels of genetic diversity, and demographic analyses indicated similar effective population sizes and ongoing gene flow between eastern and western monarchs. Gene expression analysis of a subset of candidate genes during active flight revealed differential gene expression related to nonmuscular motor activity. Our results demonstrate that eastern and western monarchs maintain migratory differences despite ongoing gene flow, and suggest that migratory differences between eastern and western monarchs are not driven by select major‐effects alleles. Instead, variation in migratory distance and destination may be driven by environmentally induced differential gene expression or by many alleles of small effect.
The World Ovarian Cancer Coalition Every Woman Study: identifying challenges and opportunities to improve survival and quality of life

Introduction With the global incidence of ovarian cancer set to rise by 55% to 371 000 per year by 2035, current 5-year survival rates below 50%, and 15% of women with ovarian cancer dying within 2 months of diagnosis, urgent action is required to improve survival and quality of life. Objective To deal with the evidence gap relating to the experience of women with the disease around the globe and identify opportunities to drive progress. Methods The study included a review of global trends in incidence, mortality, and survival (October 2017); qualitative interviews with women and clinicians in 16 countries (December 2017); and an online survey for women available in 15 different languages (open for 2 months, March to early May 2018). Women were eligible to participate if they had been diagnosed in the previous 5 years and were proficient in one of the 15 languages offered. Results A total of 1531 women from 44 countries took part in the analysis. On average, 69.1% of women were not aware of ovarian cancer before their own diagnosis, varying from 50.9% (Hungary) to 86.4% (Brazil). A total of 78.3% of symptomatic women sought medical help, varying from 62.8% (Japan) to 87.7% (UK). Fewer than half of the women visited a doctor within 1 month (46.3%) of experiencing symptoms, varying from 38.5% (USA) to 77.3% (Germany), and a quarter of women waited 3 months or more. On average, 43.2% of women were diagnosed within 1 month of visiting a doctor, ranging from 30% (UK) to 62.3% (Italy). The average estimated time from experiencing symptoms to diagnosis was 31 weeks, but this ranged from 21.3 (Germany) to 39.7 (Brazil). Rates of post-diagnosis genetic testing ranged from 5.0% (Japan) to 79.1% (USA). Clinicians indicated that access to specialist treatment in high-volume centers varies greatly by country and region. Conclusion The findings of this study identify some of the major challenges and opportunities to improve the time to diagnosis and management of women with ovarian cancer. These problems vary widely by country, and reducing the variability is an important first step towards improving outcomes for women with ovarian cancer.
The relationship between retinal cone density and cortical magnification in human albinism

The human fovea lies at the center of the retina and supports high-acuity vision. In normal visual system development, the highest acuity is correlated with both a high density of cone photoreceptors in the fovea and a magnified retinotopic representation of the fovea in the visual cortex. Both cone density and the cortical area dedicated to each degree of visual space—the latter describing cortical magnification (CM)—steadily decrease with increasing eccentricity from the fovea. In albinism, peak cone density at the fovea and visual acuity are decreased, but seem to be within normal limits in the periphery, thus providing a model to explore the correlation between retinal structure, cortical structure, and behavior. Here, we used adaptive optics scanning light ophthalmoscopy to assess retinal cone density and functional magnetic resonance imaging to measure CM in the primary visual cortex of normal controls and individuals with albinism. We find that retinotopic organization is more varied among individuals with albinism than previously appreciated. Additionally, CM outside the fovea is similar to that in controls, but also more variable. CM in albinism and controls exceeds that which might be predicted based on cone density alone, but is more accurately predicted by retinal ganglion cell density. This finding suggests that decreased foveal cone density in albinism may be partially counteracted by nonuniform connectivity between cones and their downstream signaling partners. Together, these results emphasize that central as well as retinal factors must be included to provide a complete picture of aberrant structure and function in albinism.
Distinctiveness of prolonged‐grief‐disorder‐ and depressive‐symptom trajectories in the first 2 years of bereavement for family caregivers of terminally ill cancer patients

Grief reactions in bereaved caregivers of cancer patients have been identified individually as distinct prolonged grief disorder (PGD)—and major depressive disorder (MDD)—symptom trajectories, but no research has examined whether the patterns of change (trajectories) for PGD and MDD symptoms synchronize during bereavement. We conducted a secondary analysis study to investigate the construct distinctiveness of PGD and MDD by simultaneously identifying and examining similarities and differences between bereaved caregivers' PGD‐ and depressive‐symptom trajectories from immediately post‐loss through 2 years later.
Deep Learning with Data Dependent Implicit Activation Function

Though deep neural networks (DNNs) achieve remarkable performances in many artificial intelligence tasks, the lack of training instances remains a notorious challenge. As the network goes deeper, the generalization accuracy decays rapidly in the situation of lacking massive amounts of training data. In this paper, we propose novel deep neural network structures that can be inherited from all existing DNNs with almost the same level of complexity, and develop simple training algorithms. We show our paradigm successfully resolves the lack of data issue. Tests on the CIFAR10 and CIFAR100 image recognition datasets show that the new paradigm leads to 20$\%$ to $30\%$ relative error rate reduction compared to their base DNNs. The intuition of our algorithms for deep residual network stems from theories of the partial differential equation (PDE) control problems. Code will be made available.