julilili42/papers huggingface dataset:
Visual appearance modulates motor control in social interactions
2020-09-09

The goal of new adaptive technologies is to allow humans to interact with technical devices, such as robots, in natural ways akin to human interaction. Essential for achieving this goal, is the understanding of the factors that support natural interaction. Here, we examined whether human motor control is linked to the visual appearance of the interaction partner. Motor control theories consider kinematic-related information but not visual appearance as important for the control of motor movements (Flash & Hogan, 1985; Harris & Wolpert, 1998; Viviani & Terzuolo, 1982). We investigated the sensitivity of motor control to visual appearance during the execution of a social interaction, i.e. a high-five. In a novel mixed reality setup participants executed a high-five with a three-dimensional life-size human- or a robot-looking avatar. Our results demonstrate that movement trajectories and adjustments to perturbations depended on the visual appearance of the avatar despite both avatars carrying out identical movements. Moreover, two well-known motor theories (minimum jerk, two-thirds power law) better predict robot than human interaction trajectories. The dependence of motor control on the human likeness of the interaction partner suggests that different motor control principles might be at work in object and human directed interactions.
Universal Spectrum Explorer: A standalone (web-)application for cross-resource spectrum comparison
2020-09-09

Abstract Here we present the Universal Spectrum Explorer (USE), a web-based tool based on IPSA for cross-resource (peptide) spectrum visualization and comparison ( https://www.proteomicsdb.org/use/ ). Mass spectra under investigation can either be provided manually by the user (table format), or automatically retrieved from online repositories supporting access to spectral data via the universal spectrum identifier (USI), or requested from other resources and services implementing a newly designed REST interface. As a proof of principle, we implemented such an interface in ProteomicsDB thereby allowing the retrieval of spectra acquired within the ProteomeTools project or real-time prediction of tandem mass spectra from the deep learning framework Prosit. Annotated mirror spectrum plots can be exported from the USE as editable scalable high quality vector graphics. The USE was designed and implemented with minimal external dependencies allowing local usage and integration into other websites ( https://github.com/kusterlab/universal_spectrum_explorer ).
Training causes activation increase in parietal and temporo-parietal regions in children with developmental dyscalculia
2020-09-09

Children with developmental dyscalculia (DD) differ from typically developing (TD) children regarding brain activation. While arithmetic training reduces fronto-temporo-parietal activation related to domain-general processes in TD children, we do not know whether these findings also hold for children with DD. Since children with DD are one main target group for intervention and remediation, it is essential to know how arithmetic training that improves arithmetic performance induces brain activation changes in these children. In a within-participant design, a group of 20 children with DD underwent two weeks of training in simple and complex multiplication. Brain activation was measured using functional near-infrared spectroscopy (fNIRS) before and after training to assess training-related changes. Two weeks of training led to increased temporo-parietal activation for trained versus untrained simple multiplication. For both trained and untrained complex multiplication, widespread increases in activation were observed in frontal, parietal, and temporo-parietal cortices. Interestingly, training-specific activation increases were observed only in the bilateral parietal cortex, but not in the other regions. These brain activation changes were more robust in younger children. We conclude that in contradiction to the training-related brain activation decreases seen in studies of TD children, children with DD showed improved behavioral performance along with increased brain activation. Therefore, using neuroimaging techniques such as fNIRS on children with DD provided valuable insights about strategy changes and the neural networks involved in mental arithmetic.
Nonconsensus motif directed chemical synthesis of glutamine‐based glycopeptides
2020-09-09

Besides the most common sequon of amino acids found in glycopeptides, namely, N‐X‐S/T, where X can be any amino acid except proline, a small number of nonconsensus motifs have been found in both eukaryotic and prokaryotic organisms, for example, Q‐G‐T. Because of the importance of glycopeptides in biotechnology and pharmacy, an adequate synthetic approach to these structures is highly important. In this manuscript, we report the efficient chemical batch synthesis of new glutamine‐based glycopeptide structures, which can be used to represent cell surface elements in further biological investigations.
Many-Body Quantum Systems
2020-09-09

The interaction among fundamental particles in nature leads to many interesting effects in quantum statistical mechanics; examples include superconductivity for charged systems and superfluidity in cold gases. It is a huge challenge for mathematical physics to understand the collective behavior of systems containing a large number of particles, emerging from known microscopic interactions. In this workshop we brought together researchers working on different aspects of many-body quantum mechanics to discuss recent developments, exchange ideas and propose new challenges and research directions.
Enhanced endogenous activity predicts elimination of adult-born neurons in the mouse olfactory bulb
2020-09-09

Abstract Adult-born cells, arriving daily into the rodent olfactory bulb, either integrate into the neural circuitry or get eliminated. Whether these two populations differ in their morphological or functional properties remains, however, unclear. Using longitudinal in vivo two-photon imaging, we monitored dendritic morphogenesis, odor-evoked responsiveness, endogenous Ca 2+ signaling, and survival/death of adult-born juxtaglomerular neurons (abJGNs). We found that maturation of abJGNs is accompanied by a significant reduction in dendritic complexity, with surviving and subsequently eliminated cells showing similar degrees of dendritic remodeling. Surprisingly, 63% of eliminated abJGNs acquired odor-responsiveness before death, with amplitudes and time courses of odor-evoked responses similar to those recorded in surviving cells. We observed, however, a significant long-lasting enhancement of endogenous Ca 2+ signaling in subsequently eliminated abJGNs, visible already 6 days before death. These findings identify ongoing endogenous Ca 2+ signaling as a key predictor of abJGNs’ fate.
Appraisal theories for emotion classification in text
2020-09-09

Over the last years the automated classification of emotions from text has become an interesting topic in natural language processing with many applications. Theories from psychological studies on emotions have been widely utilized to support the task of the automated assignment of emotions to textual content. Most commonly used theories are the fundamental emotions theory like proposed by Paul Ekman and the dimensional model of affect proposed by Albert Mehrabian and James Russell. However, these theories ignore other psychological theories, namely the cognitive appraisal theories, which explain emotions as a response to an individual interpretation of a given situation. Such appraisal theories have only been minorly used in the attempt to improve performance of emotion classification. In addition, there are no datasets annotated with appraisal dimensions. This work filled this gap by annotating a dataset with appraisal dimensions. Further, this work conducted several experiments in which classification models utilized these appraisal annotations. Although this work was not able to show a clear improvement in a real-world setting, the results show that appraisal dimensions have the potential to improve the performance of classifiers, which predict emotions from text.
Transmission of SARS-CoV-2 in children aged 0 to 19 years in childcare facilities and schools after their reopening in May 2020, Baden-Württemberg, Germany
2020-09-10

We investigated data from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected 0–19 year olds, who attended schools/childcare facilities, to assess their role in SARS-CoV-2 transmission after these establishments’ reopening in May 2020 in Baden-Württemberg, Germany. Child-to-child transmission in schools/childcare facilities appeared very uncommon. We anticipate that, with face mask use and frequent ventilation of rooms, transmission rates in schools/childcare facilities would remain low in the next term, even if classes’ group sizes were increased.
FBA reveals guanylate kinase as a potential target for antiviral therapies against SARS-CoV-2
2020-09-10

Abstract Motivation The novel coronavirus (SARS-CoV-2) currently spreads worldwide, causing the disease COVID-19. The number of infections increases daily, without any approved antiviral therapy. The recently released viral nucleotide sequence enables the identification of therapeutic targets, e.g. by analyzing integrated human-virus metabolic models. Investigations of changed metabolic processes after virus infections and the effect of knock-outs on the host and the virus can reveal new potential targets. Results We generated an integrated host–virus genome-scale metabolic model of human alveolar macrophages and SARS-CoV-2. Analyses of stoichiometric and metabolic changes between uninfected and infected host cells using flux balance analysis (FBA) highlighted the different requirements of host and virus. Consequently, alterations in the metabolism can have different effects on host and virus, leading to potential antiviral targets. One of these potential targets is guanylate kinase (GK1). In FBA analyses, the knock-out of the GK1 decreased the growth of the virus to zero, while not affecting the host. As GK1 inhibitors are described in the literature, its potential therapeutic effect for SARS-CoV-2 infections needs to be verified in in-vitro experiments. Availability and implementation The computational model is accessible at https://identifiers.org/biomodels.db/MODEL2003020001.
Use of in vitro bone models to screen for altered bone metabolism, osteopathies, and fracture healing: challenges of complex models
2020-09-10

Abstract Approx. every third hospitalized patient in Europe suffers from musculoskeletal injuries or diseases. Up to 20% of these patients need costly surgical revisions after delayed or impaired fracture healing. Reasons for this are the severity of the trauma, individual factors, e.g, the patients’ age, individual lifestyle, chronic diseases, medication, and, over 70 diseases that negatively affect the bone quality. To investigate the various disease constellations and/or develop new treatment strategies, many in vivo, ex vivo, and in vitro models can be applied. Analyzing these various models more closely, it is obvious that many of them have limits and/or restrictions. Undoubtedly, in vivo models most completely represent the biological situation. Besides possible species-specific differences, ethical concerns may question the use of in vivo models especially for large screening approaches. Challenging whether ex vivo or in vitro bone models can be used as an adequate replacement for such screenings, we here summarize the advantages and challenges of frequently used ex vivo and in vitro bone models to study disturbed bone metabolism and fracture healing. Using own examples, we discuss the common challenge of cell-specific normalization of data obtained from more complex in vitro models as one example of the analytical limits which lower the full potential of these complex model systems.
Variegated Anti-Austerity: Exploring the Demise and Rise of Class Struggle during the Crisis of Neoliberalism
2020-09-10

This article maps important trends that mark a new stage in neoliberal capitalism since 2008, with a focus on class struggle and resistance in the advanced industrial democracies. New forms of collective action have arisen in response to austerity which has been imposed, in different forms, across most of the advanced industrial democracies, in a context in which established solidaristic institutions – trade unions, social democratic parties, welfare states – have already been eroded as a result of the preceding twenty five years of neoliberal reform. The article presents an overview of these trends, highlighting austerity policies and anti-austerity responses. The article accounts for the rise of new forms of resistance and collective action as they have emerged differently in different national contexts, focusing on developments in the UK, US, Spain, Japan and Germany.
Observations of GRO J1744–28 in quiescence with XMM-Newton
2020-09-10

We report on the deep observations of the “bursting pulsar” GRO J1744–28, which were performed with XMM-Newton and aimed to clarify the origin of its X-ray emission in quiescence. We detect the source at a luminosity level of ∼10 34 erg s −1 with an X-ray spectrum that is consistent with the power law, blackbody, or accretion-heated neutron star atmosphere models. The improved X-ray localization of the source allowed us to confirm the previously identified candidate optical counterpart as a relatively massive G/K III star at 8 kpc close to the Galactic center, implying an almost face-on view of the binary system. Although we could only find a nonrestricting upper limit on the pulsed fraction of ∼20%, the observed hard X-ray spectrum and strong long-term variability of the X-ray flux suggest that the source is also still accreting when not in outburst. The luminosity corresponding to the onset of centrifugal inhibition of accretion is thus estimated to be at least two orders of magnitude lower than previously reported. We discuss this finding in the context of previous studies and argue that the results indicate a multipole structure in the magnetic field with the first dipole term of ∼10 10 G, which is much lower than previously assumed.
The aftermath of tinnitus-inducing inner ear damage for auditory brainstem responses and MEMR imaging of central brain activity in the rat
2020-09-10

Tinnitus is associated with damages in the peripheral auditory system and changes in signal processing along the ascending auditory pathway. Furthermore, within the last years it became evident that beside nuclei of the auditory system associated brain areas like the limbic system are involved in the chronic manifestation of tinnitus. To better understand the processes that take place during the development of tinnitus, diagnostic tools are required that allow an analysis beyond the auditory system including associated brain areas. In this review, we report results from corporate investigations of the auditory periphery (hearing function), signal transmission along the ascending auditory pathway (ABR wave analysis) and central nervous activity (MEMRI).
The TUDID Study – Background and Design of a Prospective Cohort
2020-09-10

Abstract Prevalence of both type 1 and type 2 diabetes mellitus is growing worldwide and one major cause for morbidity and mortality. However, not every patient develops diabetes-related complications, but causes for the individual susceptibility are still not fully understood. As a platform to address this, we initiated the TUDID (TUebingen DIabetes Database) study, a prospective, monocentric, observational study that includes adults with diabetes mellitus who are treated in the inpatient clinic of a University Hospital in southern Germany. Besides a thorough clinical examination and extensive laboratory tests (with integrated biobanking), major study focuses are the kidneys, the eyes, the vasculature as well as cognition and mood where standardized investigations for early stages for diabetes complications are performed. Analyses of the data generated by this precise characterization of diabetes-related complications will contribute to our understanding of the development and course of such complications, and thus facilitate the implementation of tailored treatment options that can reduce the risk and severity of diabetes-related complications.
Managing disorders of consciousness: the role of electroencephalography
2020-09-11

Abstract Disorders of consciousness (DOC) are an important but still underexplored entity in neurology. Novel electroencephalography (EEG) measures are currently being employed for improving diagnostic classification, estimating prognosis and supporting medicolegal decision-making in DOC patients. However, complex recording protocols, a confusing variety of EEG measures, and complicated analysis algorithms create roadblocks against broad application. We conducted a systematic review based on English-language studies in PubMed, Medline and Web of Science databases. The review structures the available knowledge based on EEG measures and analysis principles, and aims at promoting its translation into clinical management of DOC patients.
Investigations on the Temperature-Dependent Interaction of Water Vapor with Tin Dioxide and Its Implications on Gas Sensing
2020-09-11

This work presents an operando infrared spectroscopic study of the temperature-dependent water adsorption on pristine SnO<sub>2</sub> surfaces and discusses the possible implications on the oxygen ionosorption and gas-sensing mechanism. The impact of water on the sensor resistance, CO-sensing performance, and CO conversion was studied, and the obtained phenomenological results provide the basis for discussing the operando spectroscopic investigation findings. The provided information allows identification of three different water adsorption regimes ranging from physisorption and dominant associative adsorption to mainly dissociative water adsorption. In these regions, water has different impacts on the surface composition, sensor resistance, and gas-sensing performance.
Young children as actors of institutional language policies and practices in day care centres
2020-09-11

Abstract As children’s agency in influencing institutional language practices is often not carefully reflected in early childhood education curricula, the objective of this paper is to offer meaningful insights about how institutional language policies are both reproduced and transformed by children’s everyday use of language. For this purpose, we will combine conceptual resources from social theory, sociolinguistics and childhood studies in order to analyse children’s linguistic behaviour by applying a structure-agency perspective as a relational approach. Drawing on data from ethnographic field research within institutional day care centres in Luxembourg, our findings demonstrate that the status of children as actors in institutional language practices is strongly connected to institutional policies as a structural condition. However, this does not mean that children just enact these language policies, because they are actors of both maintaining, undermining and alternating them. In this respect, especially the translanguaging of children and caregivers plays a crucial role in the Luxembourgish context as it allows to build a bridge between the official institutional language policy and the individual linguistic repertoires. Considering the goal of establishing a plurilingual environment in early childhood education which now is paramount to the educational language policy of the Luxembourgish government, this article suggests that translanguaging practices should be considered as one of the key starting points to create a plurilingual ecology in and through everyday practice in the day care centres.
Specific induction of double negative B cells during protective and pathogenic immune responses
2020-09-11

1 Abstract Double negative (DN) (CD19 + CD20 low CD27 − IgD − ) B cells are expanded in patients with autoimmune and infectious diseases; however their role in the humoral immune response remains unclear. Using systematic flow cytometric analyses of peripheral blood B cell subsets, we observed an inflated DN B cell population in patients with variety of active inflammatory conditions: myasthenia gravis, Guillain-Barré syndrome, neuromyelitis optica spectrum disorder, meningitis/encephalitis, and rheumatic disorders. Furthermore, we were able to induce DN B cells in healthy subjects following vaccination against influenza and tick borne encephalitis virus. Transcriptome analysis revealed a gene expression profile in DN B cells that clustered with naïve B cells, memory B cells, and plasmablasts. Immunoglobulin VH transcriptome sequencing and analysis of recombinant antibodies revealed clonal expansion of DN B cells, that were targeted against the vaccine antigen. Our study suggests that DN B cells are expanded in multiple inflammatory neurologic diseases and represent an inducible B cell population that responds to antigenic stimulation, possibly through an extra-follicular maturation pathway.
The Novel PII-Interacting Regulator PirC (Sll0944) Identifies 3-Phosphoglycerate Mutase (PGAM) as Central Control Point of Carbon Storage Metabolism in Cyanobacteria
2020-09-11

Abstract Nitrogen limitation imposes a major transition in the life-style of non-diazotrophic cyanobacteria, which is regulated via a complex interplay of regulatory factors, involving, the nitrogen-specific transcription factor NtcA and the pervasive signal processor PII. Immediately upon nitrogen-limitation, newly fixed carbon is re-directed towards glycogen synthesis. How the metabolic switch for distributing fixed carbon to either glycogen or cellular building blocks is operated was poorly understood. Here we identify from Synechocystis sp. PCC 6803 a novel PII interactor, PirC, (Sll0944) that controls 3-phosphoglycerate mutase (PGAM), the enzyme that deviates newly fixed CO 2 towards lower glycolysis. PirC acts as competitive inhibitor of PGAM and this interaction is tuned by PII/2-oxoglutarate. High oxoglutarate release PirC from PII-complex to inhibit PGAM. Accordingly, PirC deficient mutant, as compared to the wild-type, shows strongly reduced glycogen levels upon nitrogen deprivation whereas polyhydroxybutyrate granules are over-accumulated. Metabolome analysis revealed an imbalance in 3-phosphoglycerate to pyruvate levels in the PirC mutant, conforming that PirC controls the carbon flux in cyanobacteria via mutually exclusive interaction with either PII or PGAM.