Confronting the language barrier: theory of mind in deaf children

The current study addressed deaf children's Theory of Mind (ToM) development as measured by a battery of first- and second-order belief tasks. Both a chronological age-matched control group and a younger group of pre-school aged hearing children were compared to a group of deaf children born to hearing parents. A hearing native signer enacted each of the tasks, which were pre-recorded in video clips in English (SSE), British Sign Language (BSL) and spoken English, in order to consider all communication preferences of the deaf children. Results revealed no differences in performance between the deaf and the young hearing children. However, despite the inclusion of ToM tasks based on their preferred mode of communication, the deaf children performed significantly worse at the unexpected-content and second-order belief task compared with their age-matched controls. These findings imply a delay rather than a deficit in ToM in deaf children that could be attributed to limited opportunities to converse and overhear conversations about mental states

Common activation of canonical Wnt signaling in pancreatic adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDA) is an extremely aggressive malignancy, which carries a dismal prognosis. Activating mutations of the Kras gene are common to the vast majority of human PDA. In addition, recent studies have demonstrated that embryonic signaling pathway such as Hedgehog and Notch are inappropriately upregulated in this disease. The role of another embryonic signaling pathway, namely the canonical Wnt cascade, is still controversial. Here, we use gene array analysis as a platform to demonstrate general activation of the canonical arm of the Wnt pathway in human PDA. Furthermore, we provide evidence for Wnt activation in mouse models of pancreatic cancer. Our results also indicate that Wnt signaling might be activated downstream of Hedgehog signaling, which is an early event in PDA evolution. Wnt inhibition blocked proliferation and induced apoptosis of cultured adenocarcinoma cells, thereby providing evidence to support the development of novel therapeutical strategies for Wnt inhibition in pancreatic adenocarcinoma

The role of motion and intensity in deaf children’s recognition of real human facial expressions of emotion

© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.There is substantial evidence to suggest that deafness is associated with delays in emotion understanding, which has been attributed to delays in language acquisition and opportunities to converse. However, studies addressing the ability to recognise facial expressions of emotion have produced equivocal findings. The two experiments presented here attempt to clarify emotion recognition in deaf children by considering two aspects: the role of motion and the role of intensity in deaf children’s emotion recognition. In Study 1, 26 deaf children were compared to 26 age-matched hearing controls on a computerised facial emotion recognition task involving static and dynamic expressions of 6 emotions. Eighteen of the deaf and 18 age-matched hearing controls additionally took part in Study 2, involving the presentation of the same 6 emotions at varying intensities. Study 1 showed that deaf children’s emotion recognition was better in the dynamic rather than static condition, whereas the hearing children showed no difference in performance between the two conditions. In Study 2, the deaf children performed no differently from the hearing controls, showing improved recognition rates with increasing rates of intensity. With the exception of disgust, no differences in individual emotions were found. These findings highlight the importance of using ecologically valid stimuli to assess emotion recognition.Peer reviewedFinal Published versio

Natural Selection of Immune and Metabolic Genes Associated with Health in Two Lowland Bolivian Populations

A growing body of work has addressed human adaptations to diverse environments using genomic data, but few studies have connected putatively selected alleles to phenotypes, much less among underrepresented populations such as Amerindians. Studies of natural selection and genotype–phenotype relationships in underrepresented populations hold potential to uncover previously undescribed loci underlying evolutionarily and biomedically relevant traits. Here, we worked with the Tsimane and the Moseten, two Amerindian populations inhabiting the Bolivian lowlands. We focused most intensively on the Tsimane, because long-term anthropological work with this group has shown that they have a high burden of both macro and microparasites, as well as minimal cardiometabolic disease or dementia. We therefore generated genome-wide genotype data for Tsimane individuals to study natural selection, and paired this with blood mRNA-seq as well as cardiometabolic and immune biomarker data generated from a larger sample that included both populations. In the Tsimane, we identified 21 regions that are candidates for selective sweeps, as well as 5 immune traits that show evidence for polygenic selection (e.g., C-reactive protein levels and the response to coronaviruses). Genes overlapping candidate regions were strongly enriched for known involvement in immune-related traits, such as abundance of lymphocytes and eosinophils. Importantly, we were also able to draw on extensive phenotype information for the Tsimane and Moseten and link five regions (containing PSD4, MUC21 and MUC22, TOX2, ANXA6, and ABCA1) with biomarkers of immune and metabolic function. Together, our work highlights the utility of pairing evolutionary analyses with anthropological and biomedical data to gain insight into the genetic basis of health-related traits

Volume 06

Introduction from Dean Dr. Charles Ross Caught Between Folklore and the Cold War: The Americanization of Russian Children\u27s Literature by Kristen Gains Graphic Design by Amanda Willis Graphic Design by Holly Backer Prejudices in Swiss German Accents by Monika Gutierrez Photography by Cara O\u27Neal Photography by Sara Nelson Edmund Tyrone\u27s Long Journey through Night by Sasha Silberman Photography by Jessica Beardsley Photography by Jamie Gardner and Edward Peeples The Republican Razor: The Guillotine as a Symbol of Equality by Jamie Clift Graphic Design by Matthew Sakach Genocide: The Lasting Effects of Gender Stratification in Rwanda By Tess Lione and Emily Wilkins Photography by Kelsey Holt and Jessica Page Morocco and the 20 February Movement by Charles Vancampen, Gilbert Hall, Jenny Nehrt, Kasey Dye, Amanda Tharp, Jamie Leeawrik, & Ashley McGee Photography by Emily Poulin Photography by Michael Kropf Improving Performance of Arbitrary Precision Arithmetic Using SIMD Assembly Code Instructions by Nick Pastore Art by Austin Polasky and Morgan Glasco Art by Laura L. Kahler The Effects of the Neutral Response Option on the Extremeness of Participant Responses by Melinda L. Edwards and Brandon C. Smith Graphic Design by Mariah Asbell Graphic Design by Cabell Edmunds College Bullying: An Exploratory Analysis by Amelia D. Perry Photography by Alyssa Hayes Death-Related Crime: Applying Bryant\u27s Conceptual Paradigm of Thanatological Crime to Military Settings by Irina Boothe Graphic Design by Perry Bason Graphic Design by James Earl

Valores de referência para plumbemia em população urbana

INTRODUCTION: The lead reference values for blood used in Brazil come from studies conducted in other countries, where socioeconomic, clinical, nutritional and occupational conditions are significantly different. In order to guarantee an accurate biomonitoring of the population which is occupationally exposed to lead, a major health concern of the studied community, reference values for individuals who are not occupationally exposed and who live in the southern region of the city were established. MATERIAL AND METHOD: The sample was composed of 206 subjects of at least 15 years of age. Various strategies were employed to assure good-quality sampling. Subjects who presented values outside clinical or laboratory norms were excluded, as well as those whose specific activities might interfere with the results. RESULTS: Lead reference values for blood were found to be from 2.40 to 16.6 µg.dL-1, obtained by the interval ; ± 2s (where ; is the mean and s is the standard deviation form observed values) and the median was 7.9 µg.dL-1.INTRODUÇÃO: Os valores de referência utilizados no Brasil, para chumbo em sangue, advêm de estudos realizados em outros países onde as condições socioeconômicas, clínicas, nutricionais e ocupacionais diferem bastante das brasileiras. Para garantir uma correta biomonitorização da população ocupacionalmente exposta ao chumbo, um dos principais problemas identificados no município estudado, foram estabelecidos valores de referência na população não exposta ocupacionalmente da região sul do município. MATERIAL E MÉTODO: Diferentes estratégias foram utilizadas para assegurar a qualidade de amostragem, que foi dimensionada em 206 sujeitos acima de 15 anos. Sujeitos que apresentaram valores clínicos e laboratoriais fora da faixa de normalidade foram excluídos, bem como os que apresentaram atividades específicas que pudessem interferir nos valores de plumbemia. RESULTADOS: Foram encontrados valores de referência para chumbo em sangue de 2,4 a 16,6 mg.dL-1, obtidos através do intervalo ; ± 2s (onde ; é o valor médio e s é o desvio-padrão dos valores observados) e mediana = 7,9 µg.dL-1

Psychological Distress Among the U.S. General Population During the COVID-19 Pandemic

The COVID-19 pandemic is taking a significant global toll on emotional well-being, but evidence of mental health impacts in the United States remains limited. In April 2020, we conducted an exploratory survey of U.S. residents to understand prevalence of and factors associated with psychological distress during the pandemic. Data collection was conducted using Qualtrics, an online survey platform, and U.S. adult respondents were recruited via Amazon's Mechanical Turk platform. Among 1,366 respondents, 42% (n = 571) reported clinically significant anxiety and 38% (n = 519) reported clinically significant depression. Factors associated with anxiety and depressive symptoms included Hispanic/Latino ethnicity; younger age; lower income; employment as or living with a health care worker-first responder; caregiver status; SARS-CoV-2 infection status; decreased frequency of engagement in healthy behaviors; and changed frequency of engagement in unhealthy behaviors. That some of these factors are associated with elevated distress during the pandemic is not yet widely appreciated and might be useful in informing management of mental health care resources

An integrated cell atlas of the lung in health and disease

Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number of donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations of individual studies and capture the variability present in the population. Here we present the integrated Human Lung Cell Atlas (HLCA), combining 49 datasets of the human respiratory system into a single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents a consensus cell type re-annotation with matching marker genes, including annotations of rare and previously undescribed cell types. Leveraging the number and diversity of individuals in the HLCA, we identify gene modules that are associated with demographic covariates such as age, sex and body mass index, as well as gene modules changing expression along the proximal-to-distal axis of the bronchial tree. Mapping new data to the HLCA enables rapid data annotation and interpretation. Using the HLCA as a reference for the study of disease, we identify shared cell states across multiple lung diseases, including SPP1 + profibrotic monocyte-derived macrophages in COVID-19, pulmonary fibrosis and lung carcinoma. Overall, the HLCA serves as an example for the development and use of large-scale, cross-dataset organ atlases within the Human Cell Atlas. </p

The khmer software package: enabling efficient nucleotide sequence analysis

The khmer package is a freely available software library for working efficiently with fixed length DNA words, or k-mers. khmer provides implementations of a probabilistic k-mer counting data structure, a compressible De Bruijn graph representation, De Bruijn graph partitioning, and digital normalization. khmer is implemented in C++ and Python, and is freely available under the BSD license at https://github.com/dib-lab/khmer/