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Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.

There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication. The information supporting such re-executability can enable the detailed examination of how an initial finding generalizes across changes in the processing approach, and sampled population, in a controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation is a recently funded initiative that seeks to facilitate the "last mile" implementations of core re-executability tools in order to reduce the accessibility barrier and increase adoption of standards and best practices at the neuroimaging research laboratory level. In this report, we summarize the overall approach and tools we have developed in this domain.

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In 2013 Honorata Martin, a young artist from Gdańsk travelled about six hundred kilometres on foot. No other work than the journey itself was created apart from the scrapbook with her notes and a short video. By putting herself in the precarious position of a nomad/migrant, the artist achieved multiple goals. One of them was to put an end to the alienation of work. The result is a work that is deprived of a “labour force,” and as such, it cannot be exploited. Martin adopted the strategy of a “passive subject” (as opposed to the “active subject” of Lazzarato). She followed the instructions, fitted the image that was being proposed to her by people she encountered, and this was exactly the move that triggered emancipatory power. Her perverse answer to the danger pointed out by Lazzarato was the creation of a subject without a soul who cannot be put to use in the economic structure based on immaterial labour. Her project “Setting off for Poland” contributes to decades-long discussions about the role and function of art institutions.

This paper discusses an extension of the approach proposed previously to represent the delay of cloud water evaporation and buoyancy reversal due to the cloud-environment mixing in bulk microphysics large-eddy simulation of clouds. In the original approach, an additional equation for the mean spatial scale of cloudy filaments was introduced to represent the progress toward microscale homogenization of a volume undergoing turbulent cloud-environment mixing, with the evaporation of cloud water allowed only when the filament scale approached the Kolmogorov microscale. Here, it is shown through a posteriori analysis of model simulations that one should also predict the volume fraction of the cloudy air that was diagnosed in the original approach. The resulting model of turbulent mixing and homogenization, referred to as the [lambda]-[beta] model, is applied in a series of shallow convection simulations using various spatial resolutions and compared to the traditional bulk model. This work represents an intermediate step in the development of a modeling framework to simulate characteristics of microphysical transformations during entrainment and subgrid-scale turbulent mixing.

Introduction: Examining the patient's level of satisfaction with anaesthesia for surgery is an important tool to gather information about the strengths and weaknesses of services rendered. The aim of the research was to grade the satisfaction level of the patients regarding anaesthesia according to PSSZ in chosen aspects. Material and methods: The research was undertaken with 217 patients after operation from surgical and gynaecologic branches. The majority of the respondents were 79.6%. The average age of respondents was 46.69 years (18-86 years). A diagnostic survey method was used with the addition of a standardised questionnaire: the Polish Scale of Satisfaction with Anaesthesia. Results: The satisfaction is located between to ends of the scale, from satisfied to not satisfied. A correlation was found between PSSZ and the age of the respondents (p < 0.05), and it was found that the level of satisfaction with anaesthesia increased with the age of the patients. However, no correlation was found between PSSZ and gender, place of residence, and education (p > 0.05). In addition, it was shown that pharmacological preparation, time spent in the operating theatre, and type of anaesthesia affected the level of satisfaction with anaesthesia. Conclusions: 1. The satisfaction among the examined patients with anaesthesia was at an average level. 2. Patient age can determine the satisfaction level; older patients were more satisfied with anaesthesia than were younger patients. 3. The use of pharmacological preparation, the type of anaesthesia used, and the length of stay in the operating theatre may lead to better assessment of satisfaction with anaesthesia. [ABSTRACT FROM AUTHOR]

The main objective of the article is to look at two public collections of contemporary art in Poland: The Studio Gallery in Warsaw and the department of contemporary art at the Koszalin Museum. These are looked at with regard to the Avant-Garde utopia of the museum as being able to change the awareness of the masses. The collections are rooted in two main movements of modernization during the time of Communism in Poland: after the Thaw of 1956 and in the beginning of the 1970s when Edward Gierek took over. In 1963 Marian Bogusz, a painter and organizer of the Krzywe Koło Gallery in Warsaw, donated thirteen paintings of contemporary artists to the Museum in Koszalin in order to encourage local authorities to initiate a museum of contemporary art. The same year, Avant-Garde meetings (plain-airs) in neighboring Osieki began. Soon the hope of founding the museum dissipated. Yet the "Osieki collection" at the Koszalin Museum developed and today it amounts to eight hundred objects. In Warsaw Józef Szajna, who was a founder of the Studio Theatre and Gallery, started a collection of art which was defined by him as a starting point for the museum. At that time in Warsaw there was no museum of contemporary art. When Szajna resigned in 1981, the idea of the museum was dropped, but his successors did not abandon the task of enlarging the collection. Today it comprises almost one thousand artworks. The article considers possible future scenarios for both collections that have been marginalized since the 1980s. [ABSTRACT FROM AUTHOR]

Objective: Three leading neurobiological hypotheses about autism spectrum disorder (ASD) propose underconnectivity between brain regions, atypical function of the amygdala, and generally higher variability between individuals with ASD than between neurotypical individuals. Past work has often failed to generalize, because of small sample sizes, unquantified data quality, and analytic flexibility. This study addressed these limitations while testing the above three hypotheses, applied to amygdala functional connectivity., Methods: In a comprehensive preregistered study, the three hypotheses were tested in a subset (N=488 after exclusions; N=212 with ASD) of the Autism Brain Imaging Data Exchange data sets. The authors analyzed resting-state functional connectivity (FC) from functional MRI data from two anatomically defined amygdala subdivisions, in three hypotheses with respect to magnitude, pattern similarity, and variability, across different anatomical scales ranging from whole brain to specific regions and networks., Results: A Bayesian approach to hypothesis evaluation produced inconsistent evidence in ASD for atypical amygdala FC magnitude, strong evidence that the multivariate pattern of FC was typical, and no consistent evidence of increased interindividual variability in FC. The results strongly depended on analytic choices, including preprocessing pipeline for the neuroimaging data, anatomical specificity, and subject exclusions., Conclusions: A preregistered set of analyses found no reliable evidence for atypical functional connectivity of the amygdala in autism, contrary to leading hypotheses. Future studies should test an expanded set of hypotheses across multiple processing pipelines, collect deeper data per individual, and include a greater diversity of participants to ensure robust generalizability of findings on amygdala FC in ASD., Competing Interests: The authors report no financial relationships with commercial interests.