Miracle-dz/UniFAR-FTUs huggingface dataset:
Yikes! Are we disgusted by politicians?

Abstract. In the political domain, disgust is primarily portrayed as an emotion that explains individual differences in pathogen avoidance. We hypothesized that political rhetoric accusing opponents of moral transgressions also elicits disgust responses. In this registered report, we present the results from a laboratory experiment. We find that participants self-report higher disgust and have stronger physiological (Levator labii) responses to pictures of out-party leaders compared with in-party leaders. Participants also report higher disgust in response to moral violations of in-party leaders. There is more suggestive evidence that in-party leaders evoke more labii activity when they commit moral violations than when out-party leaders do. The impact of individual differences in moral disgust and partisanship strength is very limited to absent. Intriguingly, on average, the physiological and self-reported disgust responses to the treatment are similar, but individuals differ in whether their response is physiological or cognitive. This motivates further theorizing regarding the concordance of emotional responses.
Reconstructing Signals from a Union of Linear Subspaces Using a Generalized CoSaMP

where A is an m×n matrix with entries independently drawn from the standard normal distribution and e ∈ R represents the noise. We assume that the noise does not depend on A, and that its energy is bounded. Further, we assume that m < n. As in this case recovering x from y becomes an ill-posed problem, an additional prior on x is required. We rely on a general signal model a union of low dimensional linear subspaces [1]–[3]. More specifically, we assume that a possibly infinite set of finite-dimensional subspaces S = {Vi} is given, and that the signal belongs to one of the subspaces in S, i.e., x ∈ V0, and V0 ∈ S. However, this subspace is unknown. We define the B-order sum for the set S, with an integer B ≥ 1, as
Constraints on new physics in B Bmixing in the light of recent LHCb data

CERN—Theory Division, PH-TH, Case C01600, CH-1211 Geneva 23, Switzerland Institut für Theoretische Teilchenphysik, Karlsruhe Institute of Technology, D-76128 Karlsruhe, Germany Centre de Physique Théorique, Aix-Marseille Université, CNRS UMR 7332, Université Sud Toulon Var, F-13288 Marseille cedex 9, France Laboratoire de Physique Théorique, Bâtiment 210, Université Paris-Sud 11, F-91405 Orsay Cedex, France (UMR 8627 du CNRS associée à l’Université Paris-Sud 11) Humboldt-Universität zu Berlin, Institut für Physik, Newtonstraße 15, D-12489 Berlin, Germany Laboratoire de Physique Corpusculaire de Clermont-Ferrand, Université Blaise Pascal, 24 Avenue des Landais, F-63177 Aubiere Cedex, France (UMR 6533 du CNRS-IN2P3 associée à l’Université Blaise Pascal) Laboratoire d’Annecy-Le-Vieux de Physique des Particules, 9 Chemin de Bellevue, BP 110, F-74941 Annecy-le-Vieux Cedex, France (UMR 5814 du CNRS-IN2P3 associée à l’Université de Savoie) (Received 24 April 2012; published 15 August 2012)
A DISTRIBUTED IMPLEMENTATION OF A CATALOG OF DIGITIZED CULTURAL COLLECTIONS

: We present a distributed catalog of digitized cultural collections. The implementation is based on the recommendation for the national standard for describing collections and the distributed hash table (DHT) protocol Chord. DHT-based networks have emerged recently as a flexible decentralized solution to handle large amount of data without the use of high-end servers. Data storage and data retrieval from different kind of content providers (libraries, archives, museums, universities, research centers, etc.) can be handled uniformly inside a distributed catalog, such that every provider is responsible for its own part of information. This approach can be extended to allow interconnection of different DHT-based networks using an overlay network protocol called Synapse.
Extended enthalpy formulations in the Ice-sheet and Sea-level System Model (ISSM) version 4.17: discontinuous conductivity and anisotropic streamline upwind Petrov–Galerkin (SUPG) method

Abstract. The thermal state of an ice sheet is an important control on its past and future evolution. Some parts of the ice sheet may be polythermal, leading to discontinuous properties at the cold–temperate transition surface (CTS). These discontinuities require a careful treatment in ice sheet models (ISMs). Additionally, the highly anisotropic geometry of the 3D elements in ice sheet modelling poses a problem for stabilization approaches in advection-dominated problems. Here, we present extended enthalpy formulations within the finite-element Ice-Sheet and Sea-Level System model (ISSM) that show a better performance than earlier implementations. In a first polythermal-slab experiment, we found that the treatment of the discontinuous conductivities at the CTS with a geometric mean produces more accurate results compared to the arithmetic or harmonic mean. This improvement is particularly efficient when applied to coarse vertical resolutions. In a second ice dome experiment, we find that the numerical solution is sensitive to the choice of stabilization parameters in the well-established streamline upwind Petrov–Galerkin (SUPG) method. As standard literature values for the SUPG stabilization parameter do not account for the highly anisotropic geometry of the 3D elements in ice sheet modelling, we propose a novel anisotropic SUPG (ASUPG) formulation. This formulation circumvents the problem of high aspect ratio by treating the horizontal and vertical directions separately in the stabilization coefficients. The ASUPG method provides accurate results for the thermodynamic equation on geometries with very small aspect ratios like ice sheets.
A Linear Transportation Lp Distance for Pattern Recognition

The transportation $\mathrm{L}^p$ distance, denoted $\mathrm{TL}^p$, has been proposed as a generalisation of Wasserstein $\mathrm{W}^p$ distances motivated by the property that it can be applied directly to colour or multi-channelled images, as well as multivariate time-series without normalisation or mass constraints. These distances, as with $\mathrm{W}^p$, are powerful tools in modelling data with spatial or temporal perturbations. However, their computational cost can make them infeasible to apply to even moderate pattern recognition tasks. We propose linear versions of these distances and show that the linear $\mathrm{TL}^p$ distance significantly improves over the linear $\mathrm{W}^p$ distance on signal processing tasks, whilst being several orders of magnitude faster to compute than the $\mathrm{TL}^p$ distance.
Reconsideration of Grid-Friendly Low-Order Filter Enabled by Parallel Converters

High-order filters, such as inductor-capacitor-inductor (<inline-formula> <tex-math notation="LaTeX">$LCL$ </tex-math></inline-formula>) filter, have been popular in grid-tied power converters. Although featuring small size, <inline-formula> <tex-math notation="LaTeX">$LCL$ </tex-math></inline-formula> filters are not grid friendly due to inherent resonance, especially when a large number of converters are in parallel operation in todays electric grid to attain modularity, reliability, and redundancy advantages. Thus, this article reconsiders the low-order <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> filter in parallel converters to eliminate the resonance and in turn to simplify the control. It is found that by interleaving a certain number of converters, the <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> filter will be sufficient to meet the harmonic limit requirements of the standards, while the filter size can be even smaller than the <inline-formula> <tex-math notation="LaTeX">$LCL$ </tex-math></inline-formula> filter. This further contributes to cost reduction as a promising solution for grid-friendly converters.
Heegaard Floer homology for embedded bipartite graphs (Intelligence of Low-dimensional Topology)

Heegaard Floer theory defines topological invariants for many low‐dimensional topolog‐ ical objects. The word (Heegaard indicates that it is defined on a Heegaard diagram associated with the given topological object, and the word Floer comes from the fact that it is a special case of the Lagrangian intersection Floer homology, where the symplec‐ tic manifold and its Lagrangian pair are constructed from the given Heegaard diagram. In this note, we introduce a definition of the Heegaard Floer homology for an embedded balanced bipartite graph in a closed oriented 3‐manifold. Details of the definition are included in the preprint [2]. For simplicity, we assume that the ambient manifold M is a rational homology 3‐sphere. In Section 2, we review the definition of a Heegaard diagram for M and that for a link in M . Then we show how to generalize the definition to a balanced bipartite graph in M . In Section 3, we brief the definition of the Heegaard Floer complex for M and for a link in it. Among various versions of the complex, we focus on the minus‐version since it is the most useful case and can be used to reconstruct the other versions. Then we show
Context-Aware Automatic Text Simpliﬁcation

: Text simpliﬁcation is the process of transforming complex text into simple text while retaining its original meaning. Simpliﬁed text is easy to read and understand by diﬀerent groups of people, especially children, non-native speakers, and people with mental disabilities (autism, aphasia, dyslexia). The biggest challenge in Text Simpliﬁcation is to get the text as simple as possible while preserving the same meaning. In this paper, we are proposing a new research on Text Simpliﬁcation, which follows human behaviour by taking into account the context from surrounding sentences.
Are there more marine fungi to be described?

Abstract The diversity of marine fungi is reviewed based on new data on their occurrence on various substrata, unexplored habitats especially in the tropics, undescribed species, endophytic and cryptic taxa. Various estimates have been proposed for the number of marine fungi and this depends on whether the taxa are obligate, facultative or marine derived by isolation from various substrata or from seawater by culture methods. The current number of obligate marine fungi (537 species) is a gross underestimate. So where can further species be found? In this review, several fungal groups are identified that have been poorly surveyed for marine representatives and therefore a potential source of more marine species; these are marine derived fungi isolated from soils, sand, and water, planktonic fungi, deep-sea fungi, unculturable fungi, and cryptic species or taxa with similar morphology. In accounting for these potential sources the number of marine fungi might be in excess of 10,000 taxa.
Enhancement of snow albedo reduction and radiative forcing due to coated black carbon in snow

Abstract. When black carbon (BC) is mixed internally with other atmospheric particles, the BC light absorption effect is enhanced. This study explicitly resolved the optical properties of coated BC in snow based on the core / shell Mie theory and the Snow, Ice, and Aerosol Radiative (SNICAR) model. Our results indicated that the BC coating effect enhances the reduction in snow albedo by a factor ranging from 1.1–1.8 for a nonabsorbing shell and 1.1–1.3 for an absorbing shell, depending on the BC concentration, snow grain radius, and core / shell ratio. We developed parameterizations of the BC coating effect for application to climate models, which provides a convenient way to accurately estimate the climate impact of BC in snow. Finally, based on a comprehensive set of in situ measurements across the Northern Hemisphere, we determined that the contribution of the BC coating effect to snow light absorption exceeds that of dust over northern China. Notably, high enhancements of snow albedo reduction due to the BC coating effect were found in the Arctic and Tibetan Plateau, suggesting a greater contribution of BC to the retreat of Arctic sea ice and Tibetan glaciers.
On the need to use the median signal filtering method to improve the metrological characteristics of the rubidium frequency standard during processing and transmitting large data arrays

The article describes the construction of the rubidium – 87 quantum frequency standard for satellite infocommunication and navigation systems for various purposes. The necessity of improving the metrological characteristics of the quantum frequency standard for longterm transmission of large amounts of data is substantiated. A new algorithm is proposed for processing data of a large amount of data about the error signal using the median filtering method to improve the short-term and long-term stability of the frequency standard. The results of experimental studies of the metrological characteristics of the quantum frequency standard are presented. The improvement in longterm frequency stability was found to be 7%, which reduces the number of bit errors during long-term transmission of information by at least 3%. Keywords—quantum frequency standard, signals processing, information transfer, data arrays, Allan's deviations, median
One-Step Synthesis of Nanostructured Graphene Nanocomposites for CO2 Capture and Photoreduction

NNIN REU Site: Nano Research Facility, Washington University in St. Louis, St. Louis, MO NNIN REU Principal Investigator: Dr. Pratim Biswas, Energy, Environmental and Chemical Engr. , Washington University in St. Louis NNIN REU Mentor: Dr. Wei-Ning Wang, Energy, Environmental and Chemical Engineering, Washington University in St. Louis Contact: baileyh@rose-hulman.edu, pbiswas@wustl.edu, wangwn@seas.wustl.edu
The Genus Canthium (Rubiaceae: Vanguerieae) in Tropical Africa

The genus Canthium subgen. Canthium is discussed and recognized as occurring in tropical Africa; three additional tropical African subgenera are recognized: subgen. Bullockia (Bridson 1987), subgen. Afrocanthium and subgen. Lycioserissa (both Bridson 1991), the latter two being revised here. A key is provided to include the genera previously segregated from Canthium (Bridson 1985, 1986, 1987, 1987a) and the tropical African subgenera of Canthium. One new combination at subspecific rank is made, and one new variety described in subgen. Canthium, 3 new species and 1 new subspecies described in subgen. Afrocanthium, and 1 new subspecies described in subgen. Lycioserissa; one new name is provided for a species unplaced subgenerically. Keys are included for the species of subgen. Afrocanthium and subgen. Lycioserissa. Distributions are given and citations included for new taxa. A complete list of all African epithets in Canthium and Plectronia with their current position is appended (Appendix 2).
Blue Growth Study-Scenarios and drivers for Sustainable Growth from the Oceans, Seas and Coasts

More than 70% of the Earth’s surface is covered by oceans. The sea is an integral part of Europe’s identity, with 22 of the 27 Member States having a coast and two thirds of European frontiers being set by the sea. Oceans, seas and coasts can offer an essential contribution in tackling today’s longer term challenges, such as globalisation and competitiveness, global warming and climate change, but also poverty and mobility, increasing scarcity of natural resources and vulnerability of the planet, urbanisation and concentration in coastal regions and demographic change. Keeping our seas healthy is a pre-condition for the long term sustainable exploitation of the possibilities it offers.
3D-Printable Thermoactive Helical Interface with Decentralized Morphological Stiffness Control for Continuum Manipulators

We present a 3D-printable thermoactive scale jamming interface as a new way to control a continuum manipulator dexterity by taking inspiration from the helical arrangement of fish scales. A highly articulated helical interface is 3D-printed with thermoactive functionally graded joints using a conventional 3D printing device that utilizes UV curable acrylic plastic and hydroxylated wax as the primary and supporting material. The joint compliance is controlled by regulating wax temperature in phase transition. Empirical feedforward control relations are identified through comprehensive study of the wax melting profile and actuation scenarios for different shaft designs to achieve desirable repeatability and response time. A decentralized control approach is employed by relating the mathematical terms of the Cosserat beam method to their morphological counterparts in which the manipulator local anisotropic stiffness is controlled based on the local stress and strain information. As a result, a minimalistic central controller is designed in which the joints’ thermomechanical states are observed using a morphological observer, an external fully monitored replica of the observed system with the same inputs. Preliminary results for passive shape adaptation, geometrical disturbance rejection and task space anisotropic stiffness control are reported by integrating the interface on a continuum manipulator.
A Technical Analysis on Deep Learning based Image and Video Compression

In this paper, we investigate image and video compression techniques based on deep learning which are actively studied recently. The deep learning based image compression technique inputs an image to be compressed in the deep neural network and extracts the latent vector recurrently or all at once and encodes it. In order to increase the image compression efficiency, the neural network is learned so that the encoded latent vector can be expressed with fewer bits while the quality of the reconstructed image is enhanced. These techniques can produce images of superior quality, especially at low bit rates compared to conventional image compression techniques. On the other hand, deep learning based video compression technology takes an approach to improve performance of the coding tools employed for existing video codecs rather than directly input and process the video to be compressed. The deep neural network technologies introduced in this paper replace the in-loop filter of the latest video codec or are used as an additional post-processing filter to improve the compression efficiency by improving the quality of the reconstructed image. Likewise, deep neural network techniques applied to intra prediction and encoding are used together with the existing intra prediction tool to improve the compression efficiency by increasing the prediction accuracy or adding a new intra coding process.
Revision Surgery Technique in the Treatment of Refractory Subcutaneous Cerebrospinal Fluid Collection Combined with Intracranial Infection Following Posterior Fossa Surgery

Objective Cerebrospinal fluid (CSF) leakage remains the most common and serious complication following posterior fossa surgery. Persistent subcutaneous CSF collections can cause wound dehiscence and predispose patients to intracranial infection. Management with conservative treatment fails in up to 40% of patients, and revision surgery remains the last resort. We hereby introduce a novel surgical technique using muscle graft or pedicled trapezius muscle flaps to repair dura and skull base defect for the treatment of subcutaneous CSF collections refractory to conservative management. Methods A retrospective chart review was conducted for six patients who presented to our institution from 2012 to 2020, with subcutaneous CSF collections following posterior fossa surgeries and had undergone revision surgeries after unsuccessful management with conservative treatments. Patient demographics, etiologies, culture results, revision procedures, follow-ups, and recurrences of fluid collections were collected. Results Of these six patients, two underwent repair of dura and skull base defect with pedicled trapezius muscle flaps, and four had arachnoid fistula repaired with autologous muscle graft. All six patients fully recovered. CSF leakage and subcutaneous fluid collections were resolved. No recurrences occurred upon the last follow-ups. Conclusion A revision surgery using muscle graft or pedicled trapezius muscle flaps to repair the dura and skull base defect is effective at treating persistent cerebrospinal fluid leakage and subcutaneous fluid collection refractory to conservative treatment.
Variation in quality of newly hatched chicks from Japanese breeder quail fed guava extract

The aim of this study was to evaluate the effects of guava extract as a dietary supplement for Japanese quail hens on incubation parameters, intestinal development, and the quality of newly hatched chicks. Six hundred and forty-eight eggs were collected from Japanese quail hens fed diets with 0.0, 3.0, 6.0, and 9.0 g/kg of guava extract. The study consisted of four treatments, six replicates, and 27 eggs per replicate. The guava extract contained 2% ellagic acid. The eggs were incubated at 37.5 °C and 65% relative air humidity. The hatch window, hatchability, embryo development in unhatched eggs, quality of newly hatched quails, and intestinal histomorphometry of a duodenum segment were evaluated. Differences among the treatments in hatchability and the hatch window were not significant. The guava extract did not affect mortality rate, live pecking, dead pecking, and contaminated and inverted eggs. The number of infertile eggs was lower in the groups that received 3.0 and 9.0 g/kg of extract in their diets. Use of up to 3.0 g/kg of guava extract in the diet increased the weight of both eggs and newly hatched chicks. The quality score of newly hatched quail was similar across treatments. The inclusion of 3.0 g/kg of guava extract in the diet of Japanese quail breeder hens increased the hatchling weight of the chicks and improved the villus to crypt ratio of their duodenum. Keywords: embryology, embryo metabolism, hatchery, incubation, breeder nutrition
Network-based sparse modeling of breast invasive carcinoma survival data

—Learning survival models from oncological data has now become a major challenge due to the signiﬁcant increase of molecular information. The inherent high-dimensionality of these datasets, where the number of features largely exceeds the number of observations, leads to ill-posed inverse problems and, consequently, to models that often lack interpretability. Inordertotackle this problem, regularized optimization has emerged as a promising approach, allowing to impose constraints on the structure of the solutions, these include sparsity, for example, using L ASSO , or other penalizing functions that use network-based information if the features have a graph-based conﬁguration. We compared how different sparse methods perform when applied to a Breast Invasive Carcinoma dataset and how introducing network knowledge impact model prediction. These include Elastic Net and their coupling with D EGREE C OX . The results regarding the concordance c-index show an improvement when network information is included, whereas the log-rank tests on the separation between high and low-risk patients exhibit a decrease in performance. It is expected that the obtained models can further support clinical decision and prognostic assessment of oncological patients.
AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data

In this paper we study the problem of flood detection and quantification using online media and satellite data. We present a three approaches, two of them based on neural networks and a third one based on the combination of different bands of satellite images. This work aims to detect floods and also give relevant information about the flood situation such as the water level and the extension of the flooded regions, as specified in the three subtasks, for which of them we propose a specific solution.