Despite the changing demographics of the nation and a growing appreciation for diversity and inclusion as drivers of excellence in science, engineering, and medicine, Black Americans are severely ...underrepresented in these fields. Racism and bias are significant reasons for this disparity, with detrimental implications on individuals, health care organizations, and the nation as a whole. The Roundtable on Black Men and Black Women in Science, Engineering, and Medicine was launched at the National Academies of Sciences, Engineering, and Medicine in 2019 to identify key levers, drivers, and disruptors in government, industry, health care, and higher education where actions can have the most impact on increasing the participation of Black men and Black women in science, medicine, and engineering. On April 16, 2020, the Roundtable convened a workshop to explore the context for their work; to surface key issues and questions that the Roundtable should address in its initial phase; and to reach key stakeholders and constituents. This proceedings provides a record of the workshop. Contributors include Policy and Global Affairs; Health and Medicine Division; and Roundtable on Black Men and Black Women in Science, Engineering, and Medicine. Cedric M. Bright and Camara P. Jones served as Rapporteurs.
Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th ...grade and their potential negative consequences for girls' subsequent participation in these fields. Studies 1 and 2 (
= 2,277; one preregistered) reveal that children as young as age six (first grade) and adolescents across multiple racial/ethnic and gender intersections (Black, Latinx, Asian, and White girls and boys) endorse stereotypes that girls are less interested than boys in computer science and engineering. The more that individual girls endorse gender-interest stereotypes favoring boys in computer science and engineering, the lower their own interest and sense of belonging in these fields. These gender-interest stereotypes are endorsed even more strongly than gender stereotypes about computer science and engineering abilities. Studies 3 and 4 (
= 172; both preregistered) experimentally demonstrate that 8- to 9-y-old girls are significantly less interested in an activity marked with a gender stereotype ("girls are less interested in this activity than boys") compared to an activity with no such stereotype ("girls and boys are equally interested in this activity"). Taken together, both ecologically valid real-world studies (Studies 1 and 2) and controlled preregistered laboratory experiments (Studies 3 and 4) reveal that stereotypes that girls are less interested than boys in computer science and engineering emerge early and may contribute to gender disparities.
The results of this pilot study demonstrate that it is possible to construct a reliable questionnaire from prior validated surveys. This questionnaire displays possible suitability for further ...development into a tool for a comprehensive dog welfare assessment. The welfare model used is assuming that canine welfare consists of three major considerations, the dogs’ behavior, the dogs’ quality of life (QoL dog) and the owner’s quality of life as pertaining to being a dog owner (QoL Owner). A questionnaire was constructed and tested. Three different parts from reliable and validated sections of previous surveys were included: 1) a modified C-BARQ, 2) QoL for the dog, and 3) QoL owner. 185 satisfactory answers were obtained from the respondents, dog owners in Sweden, Canada and USA. Principal component factor analysis rendered 13 extracted factors similar to the original questionnaires, suggesting that the construct is valid. Eleven of the thirteen factors showed moderate internal consistency of Cronbach’s alpha >0.7, the remaining two factors were relatively low with Cronbach’s alpha >0.6.
Several significant correlations between the extracted factors were found. Quality of life as a dog owner (QoL owner) was significantly affected by stress caused by dogs displaying fear, excitability and separation anxiety. No significant correlations were found between any factors describing aggressive behaviors and the dogs QoL or QoL owner. Several significant correlations were found between the extracted factors and the demographics, for instance, the Swedes are more active with their dogs compared to Americans and Canadians. Further investigations should be commenced to validate the results in a larger population.
Neuropsychedelia Langlitz, Nicolas
2012., 20121008, 2012, 2012-11-07
eBook
Neuropsychedelia examines the revival of psychedelic science since the "Decade of the Brain." After the breakdown of this previously prospering area of psychopharmacology, and in the wake of clashes ...between counterculture and establishment in the late 1960s, a new generation of hallucinogen researchers used the hype around the neurosciences in the 1990s to bring psychedelics back into the mainstream of science and society. This book is based on anthropological fieldwork and philosophical reflections on life and work in two laboratories that have played key roles in this development: a human lab in Switzerland and an animal lab in California. It sheds light on the central transnational axis of the resurgence connecting American psychedelic culture with the home country of LSD. In the borderland of science and religion, Neuropsychedelia explores the tensions between the use of hallucinogens to model psychoses and to evoke spiritual experiences in laboratory settings. Its protagonists, including the anthropologist himself, struggle to find a place for the mystical under conditions of late-modern materialism.
Graph convolutional neural networks have recently shown great potential for the task of zero-shot learning. These models are highly sample efficient as related concepts in the graph structure share ...statistical strength allowing generalization to new classes when faced with a lack of data. However, multi-layer architectures, which are required to propagate knowledge to distant nodes in the graph, dilute the knowledge by performing extensive Laplacian smoothing at each layer and thereby consequently decrease performance. In order to still enjoy the benefit brought by the graph structure while preventing dilution of knowledge from distant nodes, we propose a Dense Graph Propagation (DGP) module with carefully designed direct links among distant nodes. DGP allows us to exploit the hierarchical graph structure of the knowledge graph through additional connections. These connections are added based on a node's relationship to its ancestors and descendants. A weighting scheme is further used to weigh their contribution depending on the distance to the node to improve information propagation in the graph. Combined with finetuning of the representations in a two-stage training approach our method outperforms state-of-the-art zero-shot learning approaches.
During the last glacial-interglacial cycle, Arctic biotas experienced substantial climatic changes, yet the nature, extent and rate of their responses are not fully understood
. Here we report a ...large-scale environmental DNA metagenomic study of ancient plant and mammal communities, analysing 535 permafrost and lake sediment samples from across the Arctic spanning the past 50,000 years. Furthermore, we present 1,541 contemporary plant genome assemblies that were generated as reference sequences. Our study provides several insights into the long-term dynamics of the Arctic biota at the circumpolar and regional scales. Our key findings include: (1) a relatively homogeneous steppe-tundra flora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation during the Holocene epoch; (2) certain grazing animals consistently co-occurred in space and time; (3) humans appear to have been a minor factor in driving animal distributions; (4) higher effective precipitation, as well as an increase in the proportion of wetland plants, show negative effects on animal diversity; (5) the persistence of the steppe-tundra vegetation in northern Siberia enabled the late survival of several now-extinct megafauna species, including the woolly mammoth until 3.9 ± 0.2 thousand years ago (ka) and the woolly rhinoceros until 9.8 ± 0.2 ka; and (6) phylogenetic analysis of mammoth environmental DNA reveals a previously unsampled mitochondrial lineage. Our findings highlight the power of ancient environmental metagenomics analyses to advance understanding of population histories and long-term ecological dynamics.
We synthesize the current understanding of glacier activity on Svalbard from the end of the Late Pleistocene (12,000 yrs. before present) to the end of the Little Ice Age (c. 1920 AD). Our glacier ...history is derived from the SVALHOLA database, the first compilation of Holocene geochronology for Svalbard and the surrounding waters, including over 1,800 radiocarbon, terrestrial cosmogenic nuclide and optically stimulated luminescence ages. Data have been categorized by geological setting, uniformly (re-)calibrated, quality assessed and ultimately used to constrain glacier fluctuations (deglaciation, ice free conditions, glacier re-advances and ice marginal positions). We advance existing knowledge by mapping the extent and distribution of ice-cover during the Holocene glacial maximum and the glacial minimum, as well as present retreat rates (and percentages) within Early Holocene fjord-systems. Throughout the Holocene, Svalbard glaciers have responded to a varying combination of climatic, environmental and dynamic driving factors which influence both the extent and behavior of ice margins. We discuss the complexities of glacier systems and their dynamics in response to changes in climate. This review provides a holistic state of the art of Holocene glaciers on Svalbard, suitable for orienting future works which address gaps in our current knowledge.
•Svalbard ice cover at Holocene onset less extensive than formerly reconstructed.•Rapid, time-transgressive deglaciation through warm Early Holocene fjords.•Holocene retreat punctuated by dynamic and un-sustainable glacier re-advances.•Holocene glacial min. (8–6 ka BP) has ~25% land-ice-cover with some calving margins.•No glacial landforms marking still-stands/advances constrained between 9–4.5 ka BP.•Episodic Late Holocene glacier expansion (4–0.1 ka BP) with peak activity 1-0.5 ka BP.
China's carbon-embedded growth trajectory is gradually becoming a burden to environmental sustainability, hence, requires much attention. The complexity of human capital attributed emissions coupled ...with fossil fuel inclined energy utilization for industrialization underscores the failure of China to meet its mitigation target. We developed a policy-driven conceptual tool based on disaggregate energy utilization, human capital, trade, income level and natural resource exploitation in a carbon and environmental degradation function. Using a battery of statistics and econometric techniques such as neural network, SIMPLS, U test, dynamic ARDL Simulations, and Prais-Winsten first-order autoregressive AR(1) regression with robust standard errors, we examined the theme based on a data spanning 1961–2016. The study demonstrates that fossil fuel energy consumption and human capital are conducive catalysts for climate change. The instantaneous increase in renewable energy, environmental sustainability and income level has a diminishing effect on emissions and environmental degradation. The environmental Kuznets curve (EKC) hypothesis is validated in both emissions and degradation function — at a turning point of US$ 5469.79 and US$ 5863.70, respectively. The study highlights that the over-dependence on fossil fuel energy and natural resources for economic development, carbon-intensive trade and carbon-embedded human capital, thwart efforts to mitigating climate change and its impacts. Thus, the onus of responsibility for achieving a cleaner environment in China depends majorly on governmental policies that favour or dampens environmental sustainability.
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•We developed conceptual tools for mitigating climate change and its impacts.•Fossil fuel energy spurs environmental degradation by 1.93% and emissions by 1.58%.•The penetration of renewables in the energy mix declines emissions by 0.38% and degradation by 0.21%.•Increasing human capital is conducive for the escalation of emissions and environmental degradation.•The study shows that the Chinese economy is sustained through pollution-embedded trade.
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