The neurogenetics of group behavior in Drosophila melanogaster

Organisms rarely act in isolation. Their decisions and movements are often heavily influenced by direct and indirect interactions with conspecifics. For example, we each represent a single node within a social network of family and friends, and an even larger network of strangers. This group membership can affect our opinions and actions. Similarly, when in a crowd, we often coordinate our movements with others like fish in a school, or birds in a flock. Contributions of the group to individual behaviors are observed across a wide variety of taxa but their biological mechanisms remain largely unknown. With the advent of powerful computational tools as well as the unparalleled genetic accessibility and surprisingly rich social life of Drosophila melanogaster, researchers now have a unique opportunity to investigate molecular and neuronal determinants of group behavior. Conserved mechanisms and/or selective pressures in D. melanogaster can likely inform a much wider phylogenetic scale. Here, we highlight two examples to illustrate how quantitative and genetic tools can be combined to uncover mechanisms of two group behaviors in D. melanogaster: social network formation and collective behavior. Lastly, we discuss future challenges towards a full understanding how coordinated brain activity across many individuals gives rise to the behavioral patterns of animal societies

Transition from thermal to turbulent equilibrium with a resulting electromagnetic spectrum

A recent paper [Ziebell et al., Phys. Plasmas 21, 010701 (2014)] discusses a new type of radiation emission process for plasmas in a state of quasi-equilibrium between the particles and enhanced Langmuir turbulence. Such a system may be an example of the so-called “turbulent quasi-equilibrium.” In the present paper, it is shown on the basis of electromagnetic weak turbulence theory that an initial thermal equilibrium state (i.e., only electrostatic fluctuations and Maxwellian particle distributions) transitions toward the turbulent quasi-equilibrium state with enhanced electromagnetic radiation spectrum, thus demonstrating that the turbulent quasi-equilibrium discussed in the above paper correctly describes the weakly turbulent plasma dynamically interacting with electromagnetic fluctuations, while maintaining a dynamical steady-state in the average sense

Ionospheric ion-acoustic enhancements by turbulent counterstreaming electron beam-plasma interaction

Ion-acoustic enhancements are investigated within the context of turbulent beam-plasma interaction processes. The analysis assumes a pair of counterstreaming electron beams interacting with the background plasma. Two-dimensional velocity space and two-dimensional wave number space are assumed for the analysis, with physical parameters that characterize typical ionospheric conditions. The solutions of the electrostatic weak turbulence theory show that the ion-acoustic wave levels are significantly enhanced when the computation is initialized with a pair of counterstreaming beams in contrast to a single beam. We suggest that this finding is highly relevant for the observed ion-acoustic enhancements in the Earth's ionosphere that are known to be correlated with auroral activity

The neurogenetics of group behavior in Drosophila melanogaster

Organisms rarely act in isolation. Their decisions and movements are often heavily influenced by direct and indirect interactions with conspecifics. For example, we each represent a single node within a social network of family and friends, and an even larger network of strangers. This group membership can affect our opinions and actions. Similarly, when in a crowd, we often coordinate our movements with others like fish in a school, or birds in a flock. Contributions of the group to individual behaviors are observed across a wide variety of taxa but their biological mechanisms remain largely unknown. With the advent of powerful computational tools as well as the unparalleled genetic accessibility and surprisingly rich social life of Drosophila melanogaster, researchers now have a unique opportunity to investigate molecular and neuronal determinants of group behavior. Conserved mechanisms and/or selective pressures in D. melanogaster can likely inform a much wider phylogenetic scale. Here, we highlight two examples to illustrate how quantitative and genetic tools can be combined to uncover mechanisms of two group behaviors in D. melanogaster: social network formation and collective behavior. Lastly, we discuss future challenges towards a full understanding how coordinated brain activity across many individuals gives rise to the behavioral patterns of animal societies

Pilot Trial on the Use of Etanercept and Methylprednisolone as Primary Treatment for Acute Graft-versus-Host Disease

AbstractClinical and preclinical data indicate that tumor necrosis factor (TNF)–α is an important mediator of acute graft-versus-host disease (aGVHD) after allogeneic bone marrow transplantation. We completed a study using etanercept, a fusion protein capable of neutralizing TNF-α, for the initial treatment of aGVHD. Etanercept (25 mg subcutaneously) was administered twice weekly for 16 doses, along with methylprednisolone (2 mg/kg) and tacrolimus for biopsy-proven aGVHD. Twenty patients with a median age of 47 years (range, 8–63 years) were enrolled. Fourteen patients with grade II aGVHD (11 family donors and 3 unrelated donors) and 6 patients with grade III aGVHD (3 family donors and 3 unrelated donors) were treated. Twelve patients completed 16 doses of therapy, and 8 received 5 to 15 doses. Reasons for not completing all doses of etanercept included progression of aGVHD (n = 4), relapsed leukemia (n = 2), progression of pulmonary and central nervous system lesions (n = 1), and perforated duodenal ulcer (n = 1). Fifteen (75%) of 20 patients had complete resolution of aGVHD within 4 weeks of therapy. Increasing levels of soluble TNF receptor 1 plasma concentration during the first 4 weeks of therapy indicated progression of aGVHD in 5 patients. In contrast, for 15 responding patients, soluble TNF receptor 1 plasma concentration levels returned to baseline. These data demonstrate the feasibility of using cytokine blockade in the early treatment of aGVHD

Impressão 3d: ferramenta de prototipagem rápida para elaboração de metodologias e kits didáticos relacionados à educação / 3d printing: quick prototyping tool for elaborating methodologies and teaching kits related to education

Nos últimos anos, a utilização de impressoras 3D vem ganhando um grande destaque nos meios corporativos e acadêmicos. Atualmente, cada vez mais, a tecnologia de impressão 3D está se aproximando do consumidor final residencial. Entretanto, o alto custo necessário para a aquisição desse equipamento retarda, ou até mesmo impede, uma difusão maior nos meios acadêmicos e em comunidades de baixa renda. Visando contornar essa dificuldade, este projeto propõe o desenvolvimento e a construção de impressoras 3D de baixo custo. Especificamente, a estratégia aqui adotada utiliza componentes de baixo custo e materiais reutilizados de sucata, resultando em um preço final de aproximadamente, apenas, 30% em relação às impressoras 3D convencionais disponíveis atualmente no mercado. Adicionalmente, este projeto aborda a confecção de protótipos educacionais, kits didáticos e multidisciplinares, utilizando a tecnologia de impressão 3D. Dessa maneira, espera-se que a partir dessa estratégia de prototipagem rápida, os alunos de diversos níveis escolares, internos e externos ao IFSC, sejam beneficiados pelo acesso à novas tecnologias que os auxiliem no processo ensino-aprendizagem. 

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages