julilili42/papers huggingface dataset:
Nitrate reduction potential of a fractured Middle Triassic carbonate aquifer in Southwest Germany
2021-12-07

Abstract Nitrate reduction constitutes an important natural mechanism to mitigate the widespread and persistent nitrate contamination of groundwater resources. In fractured aquifers, however, the abundance and accessibility of electron donors and their spatial correlation with groundwater flow paths are often poorly understood. In this study, the nitrate reduction potential of a fractured carbonate aquifer in the Upper Muschelkalk of SW Germany was investigated, where denitrification is due to the oxidation of ferrous iron and reduced sulfur. Petrographical analyses of rock samples revealed concentrations of syn-sedimentary and diagenetically formed pyrite ranging from 1 to 4 wt.% with only small differences between different facies types. Additional ferrous iron is available in saddle dolomites (up to 2.6 wt.%), which probably were formed by tectonically induced percolation of low-temperature hydrothermal fluids. Borehole logging at groundwater wells (flowmeter, video, gamma) indicates that most groundwater flow occurs along karstified bedding planes partly located within dolomites of the shoal and backshoal facies. The high porosity (15–30%) of these facies facilitates molecular diffusive exchange of solutes between flow paths in the fractures and the reactive minerals in the pore matrix. The high-porosity facies together with hydraulically active fractures featuring pyrite or saddle dolomite precipitates constitute the zones of highest nitrate reduction potential within the aquifer. Model-based estimates of electron acceptor/donor balances indicate that the nitrate reduction potential protecting water supply wells increases with increasing porosity of the rock matrix and decreases with increasing hydraulic conductivity (or effective fracture aperture) and spacing of the fracture network.
Feminist data protection: an introduction
2021-12-07

"Feminist data protection" is not an established term or field of study: data protection discourse is dominated by doctrinal legal and economic positions, and feminist perspectives are few and far between. This editorial introduction summarises a number of recent interventions in the broader fields of data sciences and surveillance studies, then turns to data protection itself and considers how it might be understood, critiqued and possibly reimagined in feminist terms. Finally, the authors return to 'feminist data protection' and the different directions in which it might be further developed-as a feminist approach to data protection, as the protection of feminist data, and as a feminist way of protecting data-and provide an overview of the papers included in the present special issue.
Experience-driven meaning affects lexical choices during language production
2021-12-07

The role of meaning facets based on sensorimotor experiences is well-investigated in comprehension but has received little attention in language production research. In two experiments, we investigated whether experiential traces of space influenced lexical choices when participants completed visually-presented sentence fragments (e.g., ‘You are at the sea and you see a ...’) with spoken nouns (e.g., ‘dolphin’, ‘palm tree’). The words were presented consecutively in an ascending or descending direction, starting from the center of the screen. These physical spatial cues did not influence lexical choices. However, the produced nouns met the spatial characteristics of the broader sentence contexts such that the typical spatial locations of the produced noun referents were predicted by the location of the situations described by the sentence fragments (i. e., upper or lower sphere). By including distributional semantic similarity measures derived from computing cosine values between sentence nouns and produced nouns using a web-based text corpus, we show that the meaning dimension of ‘location in space’ guides lexical selection during speaking. We discuss the relation of this spatial meaning dimension to accounts of experientially grounded and usage-based theories of language processing and their combination in hybrid approaches. In doing so, we contribute to a more comprehensive understanding of the many facets of meaning processing during language production and their impact on the words we select to express verbal messages.
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
2021-12-07

In this paper, we aim to create generalizable and controllable neural signed distance fields (SDFs) that represent clothed humans from monocular depth observations. Recent advances in deep learning, especially neural implicit representations, have enabled human shape reconstruction and controllable avatar generation from different sensor inputs. However, to generate realistic cloth deformations from novel input poses, watertight meshes or dense full-body scans are usually needed as inputs. Furthermore, due to the difficulty of effectively modeling pose-dependent cloth deformations for diverse body shapes and cloth types, existing approaches resort to per-subject/cloth-type optimization from scratch, which is computationally expensive. In contrast, we propose an approach that can quickly generate realistic clothed human avatars, represented as controllable neural SDFs, given only monocular depth images. We achieve this by using meta-learning to learn an initialization of a hypernetwork that predicts the parameters of neural SDFs. The hypernetwork is conditioned on human poses and represents a clothed neural avatar that deforms non-rigidly according to the input poses. Meanwhile, it is meta-learned to effectively incorporate priors of diverse body shapes and cloth types and thus can be much faster to fine-tune, compared to models trained from scratch. We qualitatively and quantitatively show that our approach outperforms state-of-the-art approaches that require complete meshes as inputs while our approach requires only depth frames as inputs and runs orders of magnitudes faster. Furthermore, we demonstrate that our meta-learned hypernetwork is very robust, being the first to generate avatars with realistic dynamic cloth deformations given as few as 8 monocular depth frames.
Technological Transformation Processes and Resistance—On the Conflict Potential of 5G Using the Example of 5G Network Expansion in Germany
2021-12-07

The expansion of fifth-generation wireless technology (5G) has been assigned the significance of a ‘key technology’ in connection with technological advances in the context of the digitalization of societies, which is a central goal of current governments in leading industrialized nations. As with other large-scale infrastructure projects such as the expansion of renewable energies as part of the energy transition in Germany, the plans for implementation are meeting with great resistance from the population, sometimes resulting in arson attacks on 5G transmission masts. Current research on 5G focuses primarily on technical–economic, health-related and, in the context of the COVID-19 pandemic, increasingly conspiracy-theoretical aspects, while questions of acceptance or conflict potential have received little attention to date. This article aims to address this research gap and, on the basis of a conflict-theoretical perspective according to Dahrendorf combined with a socio-economic contextualization in the sense of Bourdieu, approaches the question of the extent to which social conflict has already progressed and what regulatory possibilities socio-economic contexts assume in terms of significance. For this purpose, about 70 identifiable internet presences of citizens’ initiatives against 5G were qualitatively and quantitatively evaluated.
Visualizing cell death in live retina: Using calpain activity detection as a biomarker for retinal degeneration
2021-12-07

Abstract Calpains are a family of calcium-activated proteases involved in numerous disorders. Notably, previous studies have shown that calpain activity was substantially increased in various models for inherited retinal degeneration (RD). In the present study, we tested the capacity of the t -BOC-Leu-Met-CMAC calpain-specific substrate to detect calpain activity in living retina, in organotypic retinal explant cultures derived from wild-type mice, as well as from rd1 and Rho P23H/+ RD-mutant mice. Test conditions were refined until the calpain substrate readily detected large numbers of cells in the photoreceptor layer of RD retina but not in wild-type retina. At the same time, the calpain substrate was not obviously toxic to photoreceptor cells. Comparison of calpain activity with an immunostaining for activated calpain-2 furthermore suggested that individual calpain isoforms may be active in distinct temporal stages of photoreceptor cell death. Notably, calpain-2 activity may be a relatively short-lived event, occurring only towards the end of the cell death process. Finally, our results support the development of calpain activity detection as a novel in vivo biomarker for RD, suitable for combination with non-invasive imaging techniques.
Continuous cultivation of the lithoautotrophic nitrate-reducing Fe(II)-oxidizing culture KS in a chemostat bioreactor
2021-12-07

Laboratory-based studies on microbial Fe(II) oxidation are commonly performed over just a few weeks in small volumes with high substrate concentrations, resulting in geochemical gradients and volumetric effects caused by sampling. We used a chemostat to enable uninterrupted supply of medium, and investigated autotrophic growth of the nitrate-reducing Fe(II)-oxidizing culture KS for 24 days. We analysed Fe- and N-speciation, cell-mineral associations, and the identity of minerals. Results were compared to different batch systems (50 and 700 ml – static/shaken). The Fe(II) oxidation rate was highest in the chemostat with 7.57 mM Fe(II) d-1, while the extent was similar (averaged 92% of all Fe(II)). Short-range ordered Fe(III) phases, presumably ferrihydrite, precipitated and later goethite was detected in the chemostat. 1 mM solid phase Fe(II) remained in the chemostat, up to 15 μM of reactive nitrite was measured, and 42% of visualized cells were partially or completely mineral-encrusted, likely caused by abiotic oxidation of Fe(II) by nitrite. Despite (partial) encrustation, cells were still viable. Our results show that even with similar oxidation rates as in batch cultures, cultivating Fe(II)-oxidizing microorganisms under continuous conditions reveals mechanistic insights on the role of reactive intermediates for Fe(II) oxidation, mineral formation and cell-mineral interactions.
Delirium: Prevalence and outcome in the very old in 27 medical departments during a one-year prospective study
2021-12-07

Abstract Objective The prevalence and effects of delirium in very old individuals aged ≥80 years have not yet been systematically evaluated. Therefore, this large single-center study of the one-year prevalence of delirium in 3,076 patients in 27 medical departments of the University Hospital of Zurich was conducted. Methods Patient scores on the Delirium Observation Screening scale, Intensive Care Delirium Screening Checklist, Diagnostic and Statistical Manual, 5th edition , and electronic Patient Assessment–Acute Care (nursing tool) resulted in the inclusion of 3,076 individuals in 27 departments. The prevalence rates were determined by simple logistic regressions, odds ratios (ORs), and confidence intervals. Results Of the 3,076 patients, 1,285 (41.8%) developed delirium. The prevalence rates in the 27 departments ranged from 15% in rheumatology (OR = 0.30) to 73% in intensive care (OR = 5.25). Delirious patients were more likely to have been admitted from long-term care facilities (OR = 2.26) or because of emergencies (OR = 2.24). The length of their hospital stay was twice as long as that for other patients. Some died before discharge (OR = 24.88), and others were discharged to nursing homes (OR = 2.96) or assisted living facilities (OR = 2.2). Conclusion This is the largest study to date regarding the prevalence of delirium in patients aged ≥80 years and the medical characteristics of these patients. Almost two out of five patients developed delirium, with a high risk of loss of independence and mortality.
Real-Time Gravitational Wave Science with Neural Posterior Estimation
2021-12-08

We demonstrate unprecedented accuracy for rapid gravitational wave parameter estimation with deep learning. Using neural networks as surrogates for Bayesian posterior distributions, we analyze eight gravitational wave events from the first LIGO-Virgo Gravitational-Wave Transient Catalog and find very close quantitative agreement with standard inference codes, but with inference times reduced from O(day) to 20 s per event. Our networks are trained using simulated data, including an estimate of the detector noise characteristics near the event. This encodes the signal and noise models within millions of neural-network parameters and enables inference for any observed data consistent with the training distribution, accounting for noise nonstationarity from event to event. Our algorithm-called "DINGO"-sets a new standard in fast and accurate inference of physical parameters of detected gravitational wave events, which should enable real-time data analysis without sacrificing accuracy.
Bihemispheric sensorimotor oscillatory network states determine cortical responses to transcranial magnetic stimulation
2021-12-08

Bihemispheric sensorimotor cortex oscillatory states contribute to TEPs, with a relevance shift from stimulated to non-stimulated M1 from P25 over N45 to P70. This significantly extends previous findings: not only ongoing local oscillations but distributed network oscillatory states determine cortical responsiveness to external stimuli.
A Novel Orf Virus D1701-VrV-Based Dengue Virus (DENV) Vaccine Candidate Expressing HLA-Specific T Cell Epitopes: A Proof-of-Concept Study
2021-12-08

Although dengue virus (DENV) affects almost half of the world’s population there are neither preventive treatments nor any long-lasting and protective vaccines available at this time. The complexity of the protective immune response to DENV is still not fully understood. The most advanced vaccine candidates focus specifically on humoral immune responses and the production of virus-neutralizing antibodies. However, results from several recent studies have revealed the protective role of T cells in the immune response to DENV. Hence, in this study, we generated a novel and potent DENV vaccine candidate based on an Orf virus (ORFV, genus Parapoxvirus) vector platform engineered to encode five highly conserved or cross-reactive DENV human leukocyte antigen (HLA)-A*02- or HLA-B*07-restricted epitopes as minigenes (ORFV-DENV). We showed that ORFV-DENV facilitates the in vitro priming of CD8+ T cells from healthy blood donors based on responses to each of the encoded immunogenic peptides. Moreover, we demonstrated that peripheral blood mononuclear cells isolated from clinically confirmed DENV-positive donors stimulated with ORFV-DENV generate cytotoxic T cell responses to at least three of the expressed DENV peptides. Finally, we showed that ORFV-DENV could activate CD8+ T cells isolated from donors who had recovered from Zika virus (ZIKV) infection. ZIKV belongs to the same virus family (Flaviviridae) and has epitope sequences that are homologous to those of DENV. We found that highly conserved HLA-B*07-restricted ZIKV and DENV epitopes induced functional CD8+ T cell responses in PBMCs isolated from confirmed ZIKV-positive donors. In summary, this proof-of-concept study characterizes a promising new ORFV D1701-VrV-based DENV vaccine candidate that induces broad and functional epitope-specific CD8+ T cell responses.
Effect of Periodic Voluntary Interventions on Trapezius Activation and Fatigue During Light Upper Limb Activity
2021-12-08

Objective The effects of diverse periodic interventions on trapezius muscle fatigue and activity during a full day of computer work were investigated. Background Musculoskeletal disorders, including trapezius myalgia, may be associated with repeated exposure to prolonged low-level activity, even during light upper-extremity tasks including computer work. Methods Thirty healthy adults participated in a study that simulated two 6-hour workdays of computer work. One workday involved imposed periodic passive and active interventions aimed at disrupting trapezius contraction monotony (Intervention day), whereas the other workday did not (Control day). Trapezius muscle activity was quantified by the 3-dimensional acceleration of the jolt movement of the acromion produced by electrically induced muscle twitches. The spatio-temporal distribution of trapezius activity was measured through high-density surface electromyography (HD-EMG). Results The twitch acceleration magnitude in one direction was significantly different across measurement periods ( p = 0.0156) on Control day, whereas no significant differences in any direction were observed ( p &gt; 0.05) on Intervention day. The HD-EMG from Intervention day showed that only significant voluntary muscle contractions (swing arms, Jacobson maneuver) induced a decrease in the muscle activation time and an increase in the spatial muscle activation areas ( p &lt; 0.01). Conclusion Disruption of trapezius monotonous activity via brief voluntary contractions effectively modified the ensuing contraction pattern (twitch acceleration along one axis, active epochs reduction, and larger spatial distribution). The observed changes support an associated reduction of muscle fatigue. Application This study suggests that disruptive intervention activity is efficient in reducing the impact of trapezius muscle fatigue.
Reasonable Trust through Deliberative Engagement: The Cases of Vaccines and Genome Editing
2021-12-08

In this short commentary, I wish to briefly explore the generation and rebuilding of trust and trustworthiness in science and medicine in relation to two important contemporary societal phenomena – namely human germline (or heritable) genome editing technologies and anti-vaccine beliefs. In the course of this exploration, I argue that discussions of genome editing can be best described as dealing with the idea of a generation of trust, while discussions of vaccines and vaccine hesitancy can best be described as dealing with the rebuilding of trust. Furthermore, I argue that there may be an important, but not entirely absolute, distinction between the generation of trust in genome editing and the rebuilding of trust in countering vaccine hesitancy or anti-vaccine beliefs. In so far as this is the case, it may suggest that the form of deliberative engagement that is suitable for one context (genome editing) might not be suitable for the other (vaccines).
Interplay of orientational order and roughness in simulated thin film growth of anisotropically interacting particles
2021-12-08

Roughness and orientational order in thin films of anisotropic particles are investigated using kinetic Monte Carlo simulations on a cubic lattice. Anisotropic next-neighbor interactions between the lattice particles were chosen to mimic the effects of shape anisotropy in the interactions of disc- or rod-like molecules with van-der-Waals attractions. Increasing anisotropy leads first to a preferred orientation in the film (which is close to the corresponding equilibrium transition) while the qualitative mode of roughness evolution (known from isotropic systems) does not change. At strong anisotropies, an effective step-edge (Ehrlich-Schwoebel) barrier appears and a non-equilibrium roughening effect is found, accompanied by re-ordering in the film which can be interpreted as the nucleation and growth of domains of lying-down discs or rods. The information on order and roughness is combined into a diagram of dynamic growth modes.
Quintilian as Master of Prose
2021-12-08

Abstract As a complement to Chapter 7, which deals with Quintilian’s theory of rhetorical style, this chapter examines his own mastery in a wide range of different style levels and effects. It makes clear that while in Books 8 and 9 and chapter 12.10 of his Institutio he teaches eloquence by telling, he is teaching it by showing throughout his work. In order to provide his readers with samples of as many different stylistic shades and functions as possible, he performs a great variety of styles from sober and plain didactic prose (docere) to pleasant imagery (delectare), from humour to deep sadness (movere), designing even his prefaces as stylistic models. Moreover, he uses his abundant eloquence for persuasive as well as for didactic purposes to spur his pupils and readers to devote themselves to the lofty goal of oratorical and moral perfection. Thus, Quintilian presents himself in his textbook not only as a brilliant teacher, but also as a powerful orator.
Front Cover: Synthesis and Properties of the Octaboron Cluster Series hypercloso‐B8Cl8, the Radical Anion hypercloso‐[B8Cl8].− and the Dianion closo‐[B8Cl8]2− (Eur. J. Inorg. Chem. 48/2021)
2021-12-08

The Front Cover shows the redox scheme of the octaborane cluster series hypercloso-B8Cl8, hypercloso-[B8Cl8]−, and closo-[B8Cl8]2−. Neutral B8Cl8 – a dark green solid – has in its polyhedrons only 2n = 16 framework electrons instead of 2n + 2 = 18, as the closo-clusters should have according to the rules of Wade. Consequently, B8Cl8 is a strong oxidant and easily adopts an electron, giving the intense purple colored radical anion [B8Cl8]−, which can also be easily reduced to the more stable dianion closo-[B8Cl8]2−. This closo-cluster has a D2d dodecahedral molecular structure in the solid state, but in solution it shows a highly fluxional mobility. More information can be found in the Full Paper by W. Einholz and co-workers.
Blind spots in AI ethics
2021-12-09

Abstract This paper critically discusses blind spots in AI ethics. AI ethics discourses typically stick to a certain set of topics concerning principles evolving mainly around explainability, fairness, and privacy. All these principles can be framed in a way that enables their operationalization by technical means. However, this requires stripping down the multidimensionality of very complex social constructs to something that is idealized, measurable, and calculable. Consequently, rather conservative, mainstream notions of the mentioned principles are conveyed, whereas critical research, alternative perspectives, and non-ideal approaches are largely neglected. Hence, one part of the paper considers specific blind spots regarding the very topics AI ethics focusses on. The other part, then, critically discusses blind spots regarding to topics that hold significant ethical importance but are hardly or not discussed at all in AI ethics. Here, the paper focuses on negative externalities of AI systems, exemplarily discussing the casualization of clickwork, AI ethics’ strict anthropocentrism, and AI’s environmental impact. Ultimately, the paper is intended to be a critical commentary on the ongoing development of the field of AI ethics. It makes the case for a rediscovery of the strength of ethics in the AI field, namely its sensitivity to suffering and harms that are caused by and connected to AI technologies.