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The editors-in-chief of the Annals of Regional Science offer an overview and analysis of recent developments at the journal from January 2020 through December 2021, a time period hampered by the COVID-19 pandemic. Annal’s Impact Factor increased substantially to 2.646 in 2020. Moreover, submissions increased from pre-COVID times. A new development is the shifting of source regions for articles acc

Background: The tissue damage following a focal stroke causes an inflammatory response that is thought to aggravate the disease state. Galectin-3 is a proinflammatory molecule that has been shown to play a significant role in the inflammatory responses in brain diseases and following experimental stroke. In most animal experiments, young animals are used, although attempts are often made to model

This review describes the evolution of endovascular treatment for acute ischemic stroke, current state of the art, and the challenges for the next decade. The rapid development of endovascular thrombectomy (EVT), from the first attempts into standard of care on a global scale, is one of the major achievements in modern medicine. It was possible thanks to the establishment of a scientific framework

Neurotensin (NT) is a small peptide with pleiotropic functions, exerting its primary actions by controlling food intake and energy balance. The first evidence of an involvement of NT in metabolism came from studies on the central nervous system and brain circuits, where NT acts as a neurotransmitter, producing different effects in relation to the specific region involved. Moreover, newer interesti

The existing information supports the use of this material as described in this safety assessment. 4-(2,6,6-Trimethyl-2-cyclohexen)-2-methylbutanal was evaluated for genotoxicity, repeated dose toxicity, reproductive toxicity, local respiratory toxicity, phototoxicity/photoallergenicity, skin sensitization, and environmental safety. Data show that 4-(2,6,6-trimethyl-2-cyclohexen)-2-methylbutanal i

The existing information supports the use of this material as described in this safety assessment. 5-Hydroxy-7-decenoic acid δ-lactone was evaluated for genotoxicity, repeated dose toxicity, reproductive toxicity, local respiratory toxicity, phototoxicity/photoallergenicity, skin sensitization, and environmental safety. Data from read-across material tetrahydro-6-(3-pentenyl)-2H-pyran-2-one (CAS #

Food systems are primary drivers of human and environmental health, but the understanding of their diverse and dynamic co-transformation remains limited. We use a data-driven approach to disentangle different development pathways of national food systems (i.e. ‘transformation archetypes’) based on historical, intertwined trends of food system structure (agricultural inputs and outputs and food tra

This article examines the emergence of a ‘migration industry’ as a result of European border externalisation and security outsourcing practices to curb migration flows from Libya. It argues that the management of migration has been partly delegated to a network of interlinked private and public actors which constitute a complex migration governance structure that ultimately gives rise to issues of

This article interrogates the digital storytelling of Sweden’s feminist foreign policy. Drawing on scholarship on state feminism and digital diplomacy, it shows how digital platforms offer opportunities to reproduce narratives of state feminism through storytelling. We propose that digital diplomacy is used to advance feminist foreign policy through emotional sense-making that requires the telling

Breast cancer is the most common type of cancer globally. Early detection is important for reducing the morbidity and mortality of breast cancer. The aim of this study was to evaluate the performance of different machine learning models to classify malignant or benign lesions on breast ultrasound images. Three different convolutional neural network approaches were implemented: (a) Simple convoluti Breast cancer is the most common type of cancer globally. Early detection is important for reducing the morbidity and mortality of breast cancer. The aim of this study was to evaluate the performance of different machine learning models to classify malignant or benign lesions on breast ultrasound images. Three different convolutional neural network approaches were implemented: (a) Simple convolut