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How did and does the fate of refugees unfold in internment camps? The contributors to this book facilitate an extensive engagement with the organized, state led, and forced placement of refugees in the past and present. They show the parallels and differences between the practices and types of internment in different countries - while considering the specific historical contexts. Moreover, they highlight the nexus of relationships and agencies which constitute the camps in question as transitory spaces. The contributions consist of analyses of local phenomena or case studies as well as comparative engagements from an international and/or historical perspective.

The museum and heritage sector has been shaken by debates over how to address colonialism, migration, Islamophobia, LGBTI+ and multiple other forms of difference. This major multi-researcher ethnography of museums and heritage in Berlin provides new insight into how ›diversity‹ is understood and put into action in museums and heritage. Exploring new initiatives and approaches, the book shows how these work - or do not - in practice. By doing so, it highlights ways forward - for research and action - for the future. The fieldwork locations on which this book is based include the Humboldt Forum, the Museum of Islamic Art, the Museum für Naturkunde, and the Memorial to the Murdered Jews of Europe, as well as Berlin streets and protests.

"Die Region" begegnet uns ganz selbstverständlich in Alltag, Politik, Wirtschaft und Medien sowie als (raum-)wissenschaftlicher Fachbegriff. Auch wenn Regionen auf den ersten Blick als etwas Faktisches erscheinen, zeigt sich beim zweiten Hinsehen, wie sich das Regionale einer konkreten Begriffsbestimmung entzieht - was auch als Stärke verstanden werden kann. Die Beiträge des Bandes erkunden "die Region", indem sie von Begriffskombinationen ausgehend - etwa "die arme Region", "die flexible Region", "die Genussregion" oder "die Untersuchungsregion" - eine Reise durch verschiedene Dimensionen des Regionalen unternehmen und neue Verständnisse von Regionen, Regionalisierungen und Regionalität anregen.

Gängige Formen von Diskriminierung sowie die Reproduktion normativer Stereotype sind auch bei künstlicher Intelligenz an der Tagesordnung. Die Beitragenden erläutern Möglichkeiten der Reduktion dieser fehlerhaften Verfahrensweisen und verhandeln die ambivalente Beziehung zwischen Queerness und KI aus einer interdisziplinären Perspektive. Parallel dazu geben sie einem queer-feministischen Wissensverständnis Raum, das sich stets als partikular, vieldeutig und unvollständig versteht. Damit eröffnen sie Möglichkeiten des Umgangs mit KI, die reduktive Kategorisierungen überschreiten können.

On behalf of the Ministry of Agriculture, Nature and Food Quality (LNV), Wageningen Food Safety Research analyses samples of agricultural products of animal origin for dioxins, PCBs, brominated flame retardants (BFRs) and poly- and perfluorinated alkyl substances (PFASs). This includes meat, milk, eggs and fish.The samples are taken at the primary production or processing stage (e.g. in slaughterhouses or raw milk collection services). For dioxin-like compounds, 350 samples are first screened with the DR CALUX® method. Samples giving a signal indicating a level above the lowest action level are regarded as suspected. These samples are further examined using GC/HRMS as confirmatory method. Concerning fish, shellfish and crustaceans, approx. 25 samples are collected at sea by research vessels, at the fish auction, or from whole-sale traders (farmed fish).

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Data processing and plotting repository of the manuscript titled "Mitigation of quasiparticle loss in superconducting qubits by phonon scattering". This repository contains two zip files: `processing_and_plotting.zip` and `Raw_timetraces.zip`. The first zip file contains all of the processing and plotting of the data for the manuscript in addition to all of the paper figures. It also contains most of the raw experimental data, with the exception of the raw time traces used to plot Fig.3(a-b). These are are larger in filesize, and are provided separately in the `Raw_timetraces.zip` file for convenience. The data processing and figure plotting occur in separate Jupyter notebooks and are executed using Python 3. For this we make use of the conda environment management system, and a self-contained environment that contains all the necessary libraries is provided in the `phonon_env.yml` file located in `Data_processing_and_plotting`. It can be installed with `conda env create -f phonon_env.yml`.

Data processing and plotting repository of the manuscript titled Spectroscopy of spin-split Andreev levels in a quantum dot with superconducting leads This repository contains a single zip file: `processing_and_plotting.zip`. The zip file contains all of the processing and plotting of the data for the manuscript in addition to all of the paper figures. It also contains the raw experimental data underlying the analysis. The data processing and figure plotting occur in a Jupyter notebook and are executed using Python 3. For this we make use of the conda environment management system, and a self-contained environment that contains all the necessary libraries is provided in the `sqds_env.yml` file located in `processing_and_plotting`. It can be installed with `conda env create -f sqds_env.yml`. The file contains the following folders: `Raw_data` - Folder containing the raw data saved with the NetCDF framework using the xarray python package.  `Figures` - Folder containing the output figures in PDF format. It then contains the following Jupyter notebook file:  `data_processing_and_plotting.ipynb` - notebook that processes all of the raw data constructs the main text and supplementary figures. Figures generated by this file are saved in the `Figures` folder.

Data processing and plotting repository of the manuscript titled Microwave spectroscopy of a spin trapped in a quantum dot Josephson junction. This repository contains a single zip file: `processing_and_plotting.zip`. The zip file contains all of the processing and plotting of the data for the manuscript in addition to all of the paper figures. It also contains the raw experimental data underlying the analysis. The data processing and figure plotting occur in a Jupyter notebook and are executed using Python 3. For this we make use of the conda environment management system, and a self-contained environment that contains all the necessary libraries is provided in the `sqds_env.yml` file located in `processing_and_plotting`. It can be installed with `conda env create -f sqds_env.yml`. The file contains the following folders: `Raw_data` - Folder containing the raw data saved with the NetCDF framework using the xarray python package.  `Figures` - Folder containing the output figures in PDF format. It then contains the following Jupyter notebook file:  `data_processing_and_plotting.ipynb` - notebook that processes all of the raw data constructs the main text and supplementary figures. Figures generated by this file are saved in the `Figures` folder.