Exploratory analysis of single-cell RNA-seq data sets is currently based on statistical and machine learning models that are adapted to each new data set from scratch. A typical analysis workflow includes a choice of dimensionality reduction, selection of clustering parameters, and mapping of prior annotation. These steps typically require several iterations and can take up significant time in many single-cell RNA-seq projects. Here, we introduce sfaira, which is a single-cell data and model zoo which houses data sets as well as pre-trained models. The data zoo is designed to facilitate the fast and easy contribution of data sets, interfacing to a large community of data providers. Sfaira currently includes 233 data sets across 45 organs and 3.1 million cells in both human and mouse. Using these data sets we have trained eight different example model classes, such as autoencoders and logistic cell type predictors: The infrastructure of sfaira is model agnostic and allows training und usage of many previously published models. Sfaira directly aids in exploratory data analysis by replacing embedding and cell type annotation workflows with end-to-end pre-trained parametric models. As further example use cases for sfaira, we demonstrate the extraction of gene-centric data statistics across many tissues, improved usage of cell type labels at different levels of coarseness, and an application for learning interpretable models through data regularization on extremely diverse data sets.

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ab s t r ac tIn 2006 a contract for upgrading an existing wastewater treatment system with a capacity of 50,000 m³/d ( 50 MLD ) was awarded to the company ARBIOGAZ from Istanbul. That system was already equipped with mechanical, biological and chemical treatment, but its effluent did not fulfil the quality requirements for process water of the several industrial clients. In order to meet those requirements it was decided to add a membrane filtration system consisting of ultrafiltration followed by reverse osmosis. This paper describes the installed ultrafiltration system, its pilot and design phase, the commissioning and experience from nearly 3 years of operation. Membrana's Liqui-Flux ® ultrafiltration modules were selected for the ultrafiltration system. The design of the plant proposed by Membrana was linked to the results of an 8 month pilot trial to determine the optimal operation of the UF system.

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