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AbstractJoint attention develops during the first year of life but little is known about its effects on long‐term memory. We investigated whether joint attention modulates long‐term memory in 9‐month‐old infants. Infants were familiarized with visually presented objects in either of two conditions that differed in the degree of joint attention (high versus low). EEG indicators in response to old and novel objects were probed directly after the familiarization phase (immediate recognition), and following a 1‐week delay (delayed recognition). In immediate recognition, the amplitude of positive slow‐wave activity was modulated by joint attention. In the delayed recognition, the amplitude of the Pb component differentiated between high and low joint attention. In addition, the positive slow‐wave amplitude during immediate and delayed recognition correlated with the frequency of infants' looks to the experimenter during familiarization. Under both high‐ and low‐joint‐attention conditions, the processing of unfamiliar objects was associated with an enhanced Nc component. Our results show that the degree of joint attention modulates EEG during immediate and delayed recognition. We conclude that joint attention affects long‐term memory processing in 9‐month‐old infants by enhancing the relevance of attended items.

Lyme carditis is an extracutaneous manifestation of Lyme disease characterized by episodes of atrioventricular block of varying degrees and additional, less reported cardiomyopathies. The molecular changes associated with the response to Borrelia burgdorferi over the course of infection are poorly understood. Here, we identify broad transcriptomic and proteomic changes in the heart during infection that reveal a profound down-regulation of mitochondrial components. We also describe the long-term functional modulation of macrophages exposed to live bacteria, characterized by an augmented glycolytic output, increased spirochetal binding and internalization, and reduced inflammatory responses. In vitro, glycolysis inhibition reduces the production of tumor necrosis factor (TNF) by memory macrophages, whereas in vivo, it produces the reversion of the memory phenotype, the recovery of tissue mitochondrial components, and decreased inflammation and spirochetal burdens. These results show that B. burgdorferi induces long-term, memory-like responses in macrophages with tissue-wide consequences that are amenable to be manipulated in vivo. ; Supported by grants from the Spanish Ministry of Science, Innovation and Universities (MCIU) co-financed with FEDER funds (SAF2015-65327-R and RTI2018-096494-B-100 to JA; BFU2016-76872-R to EB, AGL2017-86757-R to LA, SAF2017-87301-R to MLMC, SAF2015-64111-R to AP, SAF2015-73549-JIN to HR), Instituto de Salud Carlos III (PIE13/0004 to AP), the Basque Government Department of Health (2015111117 to LA), the Basque Foundation for Innovation and Health Research (BIOEF), through the EiTB Maratoia grant BIO15/CA/016/BS to MLMC, the regional Government of Andalusia co-funded by CEC and FEDER funds (Proyectos de Excelencia P12-CTS-2232) and Fundación Domingo Martínez (to AP). LA is supported by the Ramon y Cajal program (RYC-2013-13666). DB, MMR and TMM are recipients of MCIU FPI fellowships. ACG and AP are recipients of fellowships form the Basque Government. APC is a recipient of a fellowship from the University of the Basque Country. We thank the MCIU for the Severo Ochoa Excellence accreditation (SEV-2016-0644), the Basque Department of Industry, Tourism and Trade (Etortek and Elkartek programs), the Innovation Technology Department of the Bizkaia Province and the CIBERehd network. DB and JA are supported by a grant from the Jesús de Gangoiti Barrera Foundation.

"Long- and Short-term Memory Structure in Political Decision Making" published on by Oxford University Press.

Can a brief exposure to nature at the end of a workday enhance sustained attention and long-term memory? Student advisors viewed a video of either a natural environment or a busy city street after work. Then they performed a tone-detection task that was intended to mimic a key feature of their job (being on the telephone). After the nature video, systolic blood pressure increased and response latencies remained stable across time. After the city video, systolic blood pressure remained unchanged from baseline, whereas response latencies increased over time. Self-reports of arousal and emotional state did not differ significantly between videos, whereas memory of the experimental setting was better after viewing the nature video. In sum, a brief contact with nature at the end of a workday may give an individual vigor to complete additional tasks but not improve his or her affect.

Monomeric C-reactive protein (mCRP), the activated isoform of CRP, induces tissue damage in a range of inflammatory pathologies. Its detection in infarcted human brain tissue and its experimentally proven ability to promote dementia with Alzheimer's disease (AD) traits at 4 weeks after intrahippocampal injection in mice have suggested that it may contribute to the development of AD after cerebrovascular injury. Here, we showed that a single hippocampal administration of mCRP in mice induced memory loss, lasting at least 6 months, along with neurodegenerative changes detected by increased levels of hyperphosphorylated tau protein and a decrease of the neuroplasticity marker Egr1. Furthermore, co-treatment with the monoclonal antibody 8C10 specific for mCRP showed that long-term memory loss and tau pathology were entirely avoided by early blockade of mCRP. Notably, 8C10 mitigated Egr1 decrease in the mouse hippocampus. 8C10 also protected against mCRP-induced inflammatory pathways in a microglial cell line, as shown by the prevention of increased generation of nitric oxide. Additional in vivo and in vitro neuroprotective testing with the anti-inflammatory agent TPPU, an inhibitor of the soluble epoxide hydrolase enzyme, confirmed the predominant involvement of neuroinflammatory processes in the dementia induced by mCRP. Therefore, locally deposited mCRP in the infarcted brain may be a novel biomarker for AD prognosis, and its antibody blockade opens up therapeutic opportunities for reducing post-stroke AD risk. ; This research was funded by the European Competitiveness Operational Programme 2014– 2020, C-Reactive protein therapy for stroke-associated dementia, ID P_37_674, MySMIS code: 103432, contract 51/05.09.2016; Spanish MINECO and European Regional Development Fund, grant number SAF2016-77703; Spanish MCINN, grant number PID2019-106285RB; Catalan Autonomous Government AGAUR, grant number 2017-SGR-106; the CERCA Programme/Generalitat de Catalunya. R.C was supported by a post-doctoral research contract of the Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.

Abstract
This study focuses on a discourse practice that metaphorically associates ISIS with an early Islamic sect known as the Kharijites. This practice constructs a discourse that calls back the background knowledge and memory of historical narratives and experiences that create conceptual frames that communicate meanings of war and atrocities. These meanings were used by King Abdullah II of Jordan to justify Jordan's military participation against ISIS (circa 2014–2018). On the basis of the "blending theory" of conceptual metaphor, this study shows how the discourse practice of depicting ISIS as the Kharijites has undergone selective associations with the ideological aim of constructing persuasive and coercive discourses to justify military intervention against ISIS, primarily by foregrounding scripts of threat and victimization. That, in turn, leads to the instigation of illusive and incomplete associations.

ZusammenfassungMethoden der künstlichen Intelligenz haben sich in den letzten Jahren zu essenziellen Bestandteilen fast aller Bereiche von Wissenschaft und Technik entwickelt. Dies gilt auch für die Hydrologie: Vielschichtige neuronale Netzwerke – auch bekannt als Modelle des Deep Learning – ermöglichen hier Vorhersagen von Niederschlagsabflussmengen in zuvor unerreichter Präzision.Dieser Beitrag beleuchtet das Potenzial von Deep Learning für wasserwirtschaftliche Anwendungen. Der erste Teil des Artikels zeigt, wie sogenannte Long Short-Term Memory-Netzwerke – eine spezifisch für Zeitreihen entwickelte Methode des Deep Learnings – für die Niederschlags-Abfluss-Modellierung verwendet werden, und wie diese für eine Reihe hydrologischer Probleme bessere Ergebnisse als jedes andere bekannte hydrologische Modell erzielen. Der zweite Teil demonstriert wesentliche Eigenschaften der Long Short-Term Memory-Netzwerke. Zum einen zeigen wir, dass diese Netzwerke beliebige Daten verarbeiten können. Dies erlaubt es, mögliche synergetische Effekte aus unterschiedlichen meteorologischen Datensätzen zu extrahieren und damit die Modellgüte zu verbessern. Zum anderen stellen wir dar, wie relevante hydrologische Prozesse (wie z. B. das Akkumulieren und Schmelzen von Schnee) innerhalb der Modelle abgebildet werden, ohne dass diese spezifisch darauf trainiert wurden.