julilili42/papers huggingface dataset:
Ferns for area of interest free scanpath classification
2019-05-30

Scanpath classification can offer insight into the visual strategies of groups such as experts and novices. We propose to use random ferns in combination with saccade angle successions to compare scanpaths. One advantage of our method is that it does not require areas of interest to be computed or annotated. The conditional distribution in random ferns additionally allows for learning angle successions, which do not have to be entirely present in a scanpath. We evaluated our approach on two publicly available datasets and improved the classification accuracy by ≈ 10 and ≈ 20 percent.
Improving real-time CNN-based pupil detection through domain-specific data augmentation
2019-05-30

Deep learning is a promising technique for real-world pupil detection. However, the small amount of available accurately-annotated data poses a challenge when training such networks. Here, we utilize non-challenging eye videos where algorithmic approaches perform virtually without errors to automatically generate a foundational data set containing subpixel pupil annotations. Then, we propose multiple domain-specific data augmentation methods to create unique training sets containing controlled distributions of pupil-detection challenges. The feasibility, convenience, and advantage of this approach is demonstrated by training a CNN with these datasets. The resulting network outperformed current methods in multiple publicly-available, realistic, and challenging datasets, despite being trained solely with the augmented eye images. This network also exhibited better generalization w.r.t. the latest state-of-the-art CNN: Whereas on datasets similar to training data, the nets displayed similar performance, on datasets unseen to both networks, ours outperformed the state-of-the-art by ≈27% in terms of detection rate.
Encodji
2019-05-30

To this day, a variety of information has been obtained from human eye movements, which holds an imense potential to understand and classify cognitive processes and states - e.g., through scanpath classification. In this work, we explore the task of scanpath classification through a combination of unsupervised feature learning and convolutional neural networks. As an amusement factor, we use an Emoji space representation as feature space. This representation is achieved by training generative adversarial networks (GANs) for unpaired scanpath-to-Emoji translation with a cyclic loss. The resulting Emojis are then used to train a convolutional neural network for stimulus prediciton, showing an accuracy improvement of more than five percentual points compared to the same network trained using solely the scanpath data. As a side effect, we also obtain novel unique Emojis representing each unique scanpath. Our goal is to demonstrate the applicability and potential of unsupervised feature learning to scanpath classification in a humorous and entertaining way.
Get a grip
2019-05-30

A key assumption conventionally made by flexible head-mounted eye-tracking systems is often invalid: The eye center does not remain stationary w.r.t. the eye camera due to slippage. For instance, eye-tracker slippage might happen due to head acceleration or explicit adjustments by the user. As a result, gaze estimation accuracy can be significantly reduced. In this work, we propose Grip, a novel gaze estimation method capable of instantaneously compensating for eye-tracker slippage without additional hardware requirements such as glints or stereo eye camera setups. Grip was evaluated using previously collected data from a large scale unconstrained pervasive eye-tracking study. Our results indicate significant slippage compensation potential, decreasing average participant median angular offset by more than 43% w.r.t. a non-slippage-robust gaze estimation method. A reference implementation of Grip was integrated into EyeRecToo, an open-source hardware-agnostic eye-tracking software, thus making it readily accessible for multiple eye trackers (Available at: www.ti.uni-tuebingen.de/perception).
IRAS 23385+6053: an embedded massive cluster in the making
2019-05-30

Context. This study is part of the CORE project, an IRAM/NOEMA large program consisting of observations of the millimeter continuum and molecular line emission towards 20 selected high-mass star-forming regions. The goal of the program is to search for circumstellar accretion disks, study the fragmentation process of molecular clumps, and investigate the chemical composition of the gas in these regions. Aims. We focus on IRAS 23385+6053, which is believed to be the least-evolved source of the CORE sample. This object is characterized by a compact molecular clump that is IR-dark shortward of 24 μ m and is surrounded by a stellar cluster detected in the near-IR. Our aim is to study the structure and velocity field of the clump. Methods. Observations were performed at ~1.4 mm and employed three configurations of NOEMA and additional single-dish maps, merged with the interferometric data to recover the extended emission. Our correlator setup covered a number of lines from well-known hot core tracers and a few outflow tracers. The angular (~0′′.45–0′′.9) and spectral (0.5 km s −1 ) resolutions were sufficient to resolve the clump in IRAS 23385+6053 and investigate the existence of large-scale motions due to rotation, infall, or expansion. Results. We find that the clump splits into six distinct cores when observed at sub-arcsecond resolution. These are identified through their 1.4 mm continuum and molecular line emission. We produce maps of the velocity, line width, and rotational temperature from the methanol and methyl cyanide lines, which allow us to investigate the cores and reveal a velocity and temperature gradient in the most massive core. We also find evidence of a bipolar outflow, possibly powered by a low-mass star. Conclusions. We present the tentative detection of a circumstellar self-gravitating disk lying in the most massive core and powering a large-scale outflow previously known in the literature. In our scenario, the star powering the flow is responsible for most of the luminosity of IRAS 23385+6053 (~3000 L ⊙ ). The other cores, albeit with masses below the corresponding virial masses, appear to be accreting material from their molecular surroundings and are possibly collapsing or on the verge of collapse. We conclude that we are observing a sample of star-forming cores that is bound to turn into a cluster of massive stars.
Hemocompatibility of different burn wound dressings
2019-05-30

Abstract A variety of wound dressing are available for burns. Furthermore, although their impacts on wound healing have been studied sufficiently, their effects on blood remain unclear. Meanwhile, this aspect is extremely important, since blood interacts with the wound dressing, especially in extensive burn injuries. Therefore, the aim of this study is to evaluate the hemocompatibility and immunogenicity of different burn wound dressings. Accordingly, human whole blood ( n = 5) was anticoagulated with heparin, treated with different wound dressings and incubated at 37°C for 30 minutes. Different parameters for coagulation and hemocompatibility were evaluated before and after incubation. Consequently, Jelonet, Xenoderm, and Matriderm showed higher TAT‐III concentrations, Jelonet, Xenoderm, EZ Derm, and Matriderm were higher β‐thromboglobulin; EZ Derm and Burntec showed higher SC5b‐9 concentrations after incubation with whole blood. Our ex vivo study provided initial insights into the hemocompatibility and immunogenicity of different burn wound dressings. Moreover, Xenografts (Xenoderm and EZ Derm), Jelonet and Matriderm showed a hemostyptic effect, while EZ Derm and Burntec activated the complement system. Therefore, further studies must be conducted to analyze the possible effects in vivo.
Guiding gaze
2019-05-30

We evaluate subtle, emotionally-driven models of eye movement animation. Two models are tested, reading and face scanning, each based on recorded gaze transition probabilities. For reading, simulated emotional mood is governed by the probability density function that varies word advancement, i.e., re-fixations, forward, or backward skips. For face scanning, gaze behavior depends on task (gender or emotion discrimination) or the facial emotion portrayed. Probability density functions in both cases are derived from empirically observed transitions that significantly alter viewing behavior, captured either during mood-induced reading or during scanning faces expressing different emotions. A perceptual study shows that viewers can distinguish between reading and face scanning eye movements. However, viewers could not gauge the emotional valence of animated eye motion. For animation, our contribution shows that simulated emotionally-driven viewing behavior is too subtle to be discerned, or it needs to be exaggerated to be effective.
Visual modelling supports the potential for prey detection by means of diurnal active photolocation in a small cryptobenthic fish
2019-05-30

Abstract Active sensing has been well documented in animals that use echolocation and electrolocation. Active photolocation, or active sensing using light, has received much less attention, and only in bioluminescent nocturnal species. However, evidence has suggested the diurnal triplefin Tripterygion delaisi uses controlled iris radiance, termed ocular sparks, for prey detection. While this form of diurnal active photolocation was behaviourally described, a study exploring the physical process would provide compelling support for this mechanism. In this paper, we investigate the conditions under which diurnal active photolocation could assist T. delaisi in detecting potential prey. In the field, we sampled gammarids (genus Cheirocratu s) and characterized the spectral properties of their eyes, which possess strong directional reflectors. In the laboratory, we quantified ocular sparks size and their angle-dependent radiance. Combined with environmental light measurements and known properties of the visual system of T. delaisi , we modeled diurnal active photolocation under various scenarios. Our results corroborate that diurnal active photolocation should help T. delaisi detect gammarids at distances relevant to foraging, 4.5 cm under favourable conditions and up to 2.5 cm under average conditions. To determine the prevalence of diurnal active photolocation for micro-prey, we encourage further theoretical and empirical work.
Konflikt als Movens – Chancen für Schule, Religion und Demokratie
2019-05-30

Abstract In times of antidemocratic resentment and rising societal diversity, harmony and unity become questionable as the normative foundation for modern approaches to education. This article makes plausible the assertion that educational thought needs to change one of its basic theoretical assump- tions: the overall perception of conflicts. In a first step, the article introduces the concept of the “School Republic”, summarizing the ideas of Hermann Lietz and then its advancements by Minna Specht. In a second step, the article ties this specific pedagogical arrangement to recent political theory and one well-known concept of human rights education. Finally, the article discusses the scope of the approach which is sketched out here and identifies links to recent discussions in democraticcy education.
Cardiac fibrosis – A short review of causes and therapeutic strategies
2019-05-31

Fibrotic diseases cause annually more than 800,000 deaths worldwide, whereof the majority accounts for lung and cardiac fibrosis. A pathological remodeling of the extracellular matrix either due to ageing or as a result of an injury or disease leads to fibrotic scars. In the heart, these scars cause several cardiac dysfunctions either by reducing the ejection fraction due to a stiffened myocardial matrix, or by impairing electric conductance, or they can even lead to death. Today it is known that there are several different types of cardiac scars depending on the underlying cause of fibrosis. In this review, we present an overview of what is known about cardiac fibrosis including the role of cardiac cells and extracellular matrix in this disease. We will further summarize current diagnostic tools and highlight pre-clinical or clinical therapeutic strategies to address cardiac fibrosis.
Interpreting neural decoding models using grouped model reliance
2019-05-31

Abstract The application of machine learning algorithms for decoding psychological constructs based on neural data is becoming increasingly popular. However, there is a need for methods that allow to interpret trained decoding models, as a step towards bridging the gap between theory-driven cognitive neuroscience and data-driven decoding approaches. The present study demonstrates grouped model reliance as a model-agnostic permutation-based approach to this problem. Grouped model reliance indicates the extent to which a trained model relies on conceptually related groups of variables, such as frequency bands or regions of interest in electroencephalographic (EEG) data. As a case study to demonstrate the method, random forest and support vector machine models were trained on within-participant single-trial EEG data from a Sternberg working memory task. Participants were asked to memorize a sequence of digits (0–9), varying randomly in length between one, four and seven digits, where EEG recordings for working memory load estimation were taken from a 3-second retention interval. Present results confirm previous findings in so far, as both random forest and support vector machine models relied on alpha-band activity in most subjects. However, as revealed by further analyses, patterns in frequency and particularly topography varied considerably between individuals, pointing to more pronounced inter-individual differences than reported previously. Author summary Modern machine learning algorithms currently receive considerable attention for their predictive power in neural decoding applications. However, there is a need for methods that make such predictive models interpretable. In the present work, we address the problem of assessing which aspects of the input data a trained model relies upon to make predictions. We demonstrate the use of grouped model-reliance as a generally applicable method for interpreting neural decoding models. Illustrating the method on a case study, we employed an experimental design in which a comparably small number of participants (10) completed a large number of trials (972) over multiple electroencephalography (EEG) recording sessions from a Sternberg working memory task. Trained decoding models consistently relied on alpha frequency activity, which is in line with existing research on the relationship between neural oscillations and working memory. However, our analyses also indicate large inter-individual variability with respect to the relation between activity patterns and working memory load in frequency and topography. Taken together, we argue that grouped model reliance provides a useful tool to better understand the workings of (sometimes otherwise black-box) decoding models.
Local translation of yeastERG4mRNA at the endoplasmic reticulum requires the brefeldin A resistance protein Bfr1
2019-05-31

ABSTRACT Brefeldin A resistance factor 1 (Bfr1p) is a non-essential RNA-binding protein and multi-copy suppressor of brefeldin A sensitivity in Saccharomyces cerevisiae . Deletion of BFR1 leads to multiple defects, including altered cell shape and size, change in ploidy, induction of P-bodies and chromosomal mis-segregation. Bfr1p has been shown to associate with polysomes, binds to several hundred mRNAs, and can target some of them to P-bodies. Although this implies a role of Bfr1p in translational control of mRNAs, its molecular function remains elusive. In the present study, we show that mutations in RNA-binding residues of Bfr1p impede its RNA-dependent co-localization with ER, yet do not mimic the known cellular defects seen upon BFR1 deletion. However, a Bfr1 RNA-binding mutant is impaired in binding to ERG4 mRNA which encodes an enzyme required for the final step of ergosterol biosynthesis. Consistently, bfr1 Δ strains show a strong reduction in Erg4p protein levels. Polysome profiling of bfr1 Δ or bfr1 mutant strains reveals a strong shift of ERG4 mRNA to polysomes, consistent with a function of Bfr1p in elongation. Collectively, our data reveal that Bfr1 has at least two separable functions: one in RNA-binding and elongation during translation, in particular at the ER membrane, and one in ploidy control or chromosome segregation.
Chapter 3. Assessing progress towards meeting major international objectives related to nature and nature's contributions to people
2019-05-31

&amp;lt;p&amp;gt;This document contains the draft Chapter 3 of the IPBES Global Assessment on Biodiversity and Ecosystem Services. Governments and all observers at IPBES-7 had access to these draft chapters eight weeks prior to IPBES-7. Governments accepted the Chapters at IPBES-7 based on the understanding that revisions made to the SPM during the Plenary, as a result of the dialogue between Governments and scientists, wouldbe reflected in the final Chapters.IPBES typically releases its Chapters publicly only in their final form, which implies a delay of several months post Plenary. However, in light of the high interest for the Chapters, IPBES is releasing the six Chapters early (31 May 2019) in a draft form. Authors of the reports are currently working to reflect all the changes made to the Summary for Policymakers during the Plenary to the Chapters, and to perform final copyediting.&amp;lt;/p&amp;gt;
Mori Ōgai als Übersetzer von Rilkes Novelle "Weißes Glück"
2019-05-31

This paper examines the translation techniques of Mori Ōgai in his rendering of the story Weißes Glück by Rainer Maria Rilke. It investigates Ōgai’s approach by comparing his translation to versions by Ōyama Teiichi and Itō Yukio. The paper argues that Ōgai pays particular attention to a smooth Japanese expression, easy to read and understand. On the other hand, examples discussed in detail show that Ōyama Teiichi’s and Itō Yukio’s translations are much closer to the German original. These contrasting approaches will be elucidated by analyzing the following features: title, sentence length, pronouns and personal references, representation of colors and noises, culture-specific realia, and rhetorical techniques.
Occupancy Networks: Learning 3D Reconstruction in Function Space
2019-06-01

With the advent of deep neural networks, learning-based approaches for 3D reconstruction have gained popularity. However, unlike for images, in 3D there is no canonical representation which is both computationally and memory efficient yet allows for representing high-resolution geometry of arbitrary topology. Many of the state-of-the-art learning-based 3D reconstruction approaches can hence only represent very coarse 3D geometry or are limited to a restricted domain. In this paper, we propose Occupancy Networks, a new representation for learning-based 3D reconstruction methods. Occupancy networks implicitly represent the 3D surface as the continuous decision boundary of a deep neural network classifier. In contrast to existing approaches, our representation encodes a description of the 3D output at infinite resolution without excessive memory footprint. We validate that our representation can efficiently encode 3D structure and can be inferred from various kinds of input. Our experiments demonstrate competitive results, both qualitatively and quantitatively, for the challenging tasks of 3D reconstruction from single images, noisy point clouds and coarse discrete voxel grids. We believe that occupancy networks will become a useful tool in a wide variety of learning-based 3D tasks.
Pharmacogenomics Education in Medical and Pharmacy Schools: Conclusions of a Global Survey
2019-06-01

<b>Aim:</b> The need for pharmacogenomic education is becoming more and more urgent. Our aim was to evaluate the progress in pharmacogenomics education since then, and to put forward further recommendations. <b>Methods:</b> A survey was sent to 248 schools of medicine, pharmacy, nursing and health professions around the world. <b>Results:</b> The majority of the study programs (87%) include pharmacogenomics education, which is generally taught as part of the pharmacology curriculum. On average, educators and teachers have selected appropriate and highly relevant pharmacogenomics biomarkers to include in their teaching programs. <b>Conclusions:</b> Based on the results, we can conclude that the state of pharmacogenomics education at the surveyed universities has improved substantially since 2005.
Taking a Deeper Look at the Inverse Compositional Algorithm
2019-06-01

In this paper, we provide a modern synthesis of the classic inverse compositional algorithm for dense image alignment. We first discuss the assumptions made by this well-established technique, and subsequently propose to relax these assumptions by incorporating data-driven priors into this model. More specifically, we unroll a robust version of the inverse compositional algorithm and replace multiple components of this algorithm using more expressive models whose parameters we train in an end-to-end fashion from data. Our experiments on several challenging 3D rigid motion estimation tasks demonstrate the advantages of combining optimization with learning-based techniques, outperforming the classic inverse compositional algorithm as well as data-driven image-to-pose regression approaches.
Identification of Tumor Antigens Among the HLA Peptidomes of Glioblastoma Tumors and Plasma
2019-06-01

Glioblastoma multiforme (GBM) is the most aggressive brain tumor with poor prognosis to most patients. Immunotherapy of GBM is a potentially beneficial treatment option, whose optimal implementation may depend on familiarity with tumor specific antigens, presented as HLA peptides by the GBM cells. Further, early detection of GBM, such as by a routine blood test, may improve survival, even with the current treatment modalities. This study includes large-scale analyses of the HLA peptidome (immunopeptidome) of the plasma-soluble HLA molecules (sHLA) of 142 plasma samples, and the membranal HLA of GBM tumors of 10 of these patients' tumor samples. Tumor samples were fresh-frozen immediately after surgery and the plasma samples were collected before, and at multiple visits after surgery. In total, this HLA peptidome analysis involved 52 different HLA allotypes and resulted in the identification of more than 35,000 different HLA peptides. Strong correlations were observed in the signal intensities and in the repertoires of identified peptides between the tumors and plasma-soluble HLA peptidomes of the individual patients, whereas low correlations were observed between these HLA peptidomes and the tumors' proteomes. HLA peptides derived from Cancer/Testis Antigens (CTAs) were selected based on their presence among the HLA peptidomes of the patients and absence of expression of their source genes from any healthy and essential human tissues, except from immune-privileged sites. Additionally, peptides were selected as potential biomarkers if their levels in the plasma-sHLA peptidome were significantly reduced after the removal of tumor mass. The CTAs identified among the analyzed HLA peptidomes provide new opportunities for personalized immunotherapy and for early diagnosis of GBM.