In this article, we explore the power of shared embodiment for the constitution of an affective community. More specifically, we examine how people afflicted by long-term, arduous experiences of war, migration, and discrimination sensually articulate and, at least temporarily, renegotiate feelings of non/belonging, care, and in/exclusion. Methodologically, we draw on emplaced ethnography and systematic phenomenological go-alongs with a group of elderly migrants, born and raised in different parts of Vietnam, who had arrived in Germany within different legal-political frameworks and who, during the time of our psychological-anthropological research, frequented the same psychotherapeutic clinic. We apply the notion of "affective communities" (Zink in Affective Societies: Key Concepts. Routledge, New York, 2019) to grasp how the group experienced a sensual place of mutual belonging outside the clinic when moving through different public spaces in Berlin as part of their therapy. Particular attention is paid to the participants' embodied and emplaced memories that were reactivated during these excursions. Shared sensations and spatiality, we argue, made them feel they belonged to an ephemeral community of care that was otherwise hardly imaginable due to their distinct individual biographies, contrasting political attitudes, and ties to different social collectives. In analyzing this affective community, we highlight how significant spatio-sensorial modes of temporal solidification can be in eliciting embodied knowledge that positively contributes to therapeutic processes.
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http://dx.doi.org/10.1007/s11013-020-09675-5 | DOI Listing |
Regulation of gene expression helps determine various phenotypes in most cellular life forms. It is orchestrated at different levels and at the point of transcription initiation by transcription factors (TFs). TFs bind to DNA through domains that are evolutionarily related, by shared membership of the same superfamilies (TF-SFs), to those found in other nucleic acid binding and protein-binding functions (nTFs for non-TFs).
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Center for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address:
Background: We sought to evaluate the characteristics of eye movements in Alzheimer's disease (AD) patients with apathy (AD-A) and their ability to identify AD-A and explore the shared neurostructure of eye movements and apathy.
Methods: Total 32 normal controls, 36 AD-A and 72 AD with no apathy (AD-NA) patients were recruited. Parameters of smooth pursuit, fixation, prosaccade and antisaccade were compared among the three groups.
Res Dev Disabil
January 2025
Department of Developmental and Social Psychology, University of Padova, Italy.
Background: Neurodevelopmental conditions often exhibit overlapping symptoms, posing challenges for differential diagnosis. Developmental Coordination Disorder (DCD) manifests as fundamental motor impairments, often along with co-occurring visuospatial difficulties. Nonverbal Learning Disorder (NLD) features visuospatial core challenges, with a less consistent characterization of its motor profile.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Xi'an Power Supply Company, State Grid Shaanxi Electric Power Co., Ltd., Xi'an 710032, China.
Under the carbon peaking and carbon neutrality target background, efficient collaborative scheduling between distribution networks and multi-microgrids is of great significance for enhancing renewable energy accommodation and ensuring stable system operation. Therefore, this paper proposes a collaborative optimization method for the operation of distribution networks and multi-microgrids with shared energy storage based on a multi-body game. The method is modeled and solved in two stages.
View Article and Find Full Text PDFMolecules
January 2025
School of Computer, Guangdong University of Education, Guangzhou 510310, China.
Predicting drug-target interactions (DTIs) is a crucial step in the development of new drugs and drug repurposing. In this paper, we propose a novel drug-target prediction model called MCF-DTI. The model utilizes the SMILES representation of drugs and the sequence features of targets, employing a multi-scale convolutional neural network (MSCNN) with parallel shared-weight modules to extract features from the drug side.
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