bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of adding the second drainage cannula in severely hypoxemic patients supported with VV ECMO due to COVID‐19‐associated ARDS
Authors: Szułdrzyński Konstanty , Kowalewski Mariusz , Jankowski Miłosz , Staromłyński Jakub , Prokop Joanna , Pasierski Michał , Chudziński Kamil , Drobiński Dominik , Martucci Gennaro , Lorusso Roberto , Wierzba Waldemar , Zaczyński Artur , Król Zbigniew , Suwalski Piotr 
Published: May 2023

AbstractBackgroundExtracorporeal membrane oxygenation (ECMO) is a recognized method of support in patients with severe and refractory acute respiratory distress syndrome (ARDS) caused by SARS‐CoV‐2 infection. While veno‐venous (VV) ECMO is the most common type, some patients with severe hypoxemia may require modifications to the ECMO circuit. In this study, we aimed to investigate the effects of adding a second drainage cannula to the circuit in patients with refractory hypoxemia, on their gas exchange, mechanical ventilation, ECMO settings, and clinical outcomes.MethodsWe conducted an observational retrospective study based on a single‐center institutional registry including all consecutive cases of COVID‐19 patients requiring ECMO admitted to the Centre of Extracorporeal Therapies in Warsaw between March 1, 2020 and March 1, 2022. We selected patients who had an additional drainage cannula inserted. Changes in ECMO and ventilator settings, blood oxygenation, and hemodynamic parameters, as well as clinical outcomes were assessed.ResultsOf 138 VV ECMO patients, 12 (9%) patients met the inclusion criteria. Ten patients (83%) were men, and mean age was 42.2 ± 6.8. An addition of drainage cannula resulted in a significant raise in ECMO blood flow (4.77 ± 0.44 to 5.94 ± 0.81 [L/min]; p = 0.001), and the ratio of ECMO blood flow to ECMO pump rotations per minute (RPM), whereas the raise in ECMO RPM alone was not statistically significant (3432 ± 258 to 3673 ± 340 [1/min]; p = 0.064). We observed a significant drop in ventilator FiO2 and a raise in PaO2 to FiO2 ratio, while blood lactates did not change significantly. Nine patients died in hospital, one was referred to lung transplantation center, two were discharged uneventfully.ConclusionsThe use of an additional drainage cannula in severe ARDS associated with COVID‐19 allows for an increased ECMO blood flow and improved oxygenation. However, we observed no further improvement in lung‐protective ventilation and poor survival.
Azathioprine‐induced vanishing bile duct syndrome: The value of early thiopurine metabolism assessment
Authors: Chouchana Laurent , Terris Benoit , Sogni Philippe , Treluyer Jean‐Marc , Costedoat‐Chalumeau Nathalie , Loriot Marie‐Anne 
Published: May 2023

About 15% to 28% of patients treated with thiopurines experienced adverse drug reactions, such as haematological and hepatic toxicities. Some of these related to the polymorphic activity of the thiopurine S‐methyltransferase (TPMT), the key detoxifying enzyme of thiopurine metabolism. We report here a case of thiopurine‐induced ductopenia with a comprehensive pharmacological analysis on thiopurine metabolism. A 34‐year‐old woman, with a medical history of severe systemic lupus erythematosus with recent introduction of azathioprine therapy, presented with mild fluctuating transaminase blood levels consistent with a hepatocellular pattern, which evolved to a cholestatic pattern over the next weeks. A blood thiopurine metabolite assay revealed low 6‐thioguanine nucleotides (6‐TGN) level and a dramatically increased 6‐methylmercaptopurine ribonucleotides (6‐MMPN) level, together with an unfavourable [6‐MMPN:6‐TGN] metabolite ratio and a high TPMT activity. After a total of about 6 months of thiopurine therapy, a transjugular liver biopsy revealed a ductopenia, and azathioprine discontinuation led to further clinical improvement. In line with previous reports from the literature, our case supports the fact that ductopenia is a rare adverse drug reaction of azathioprine. The mechanism of reaction is unknown but may involve high 6‐MMPN blood level, due to unusual thiopurine metabolism (switched metabolism). Early therapeutic drug monitoring with measurement of 6‐TGN and 6‐MMPN blood levels may help physicians to identify patients at risk of similar duct injury.
Adults with intellectual disabilities as users of social media: A scoping review
Authors: Anderson Sian , Araten‐Bergman Tal , Steel Gillian 
Published: May 2023

AbstractBackgroundSocial media use continues to grow, and it offers an important way for adults with intellectual disabilities to feel socially included and to communicate with others.AimThis study aimed to establish the state of knowledge about social media use among adults with intellectual disabilities, their experiences and its impact.MethodA scoping review was conducted of peer‐reviewed literature published between 2000 and 2021 that reported empirical research on social media use, experiences, training and outcomes for adults with intellectual disabilities.FindingsAdults with intellectual disabilities use social media platforms and experience a range of positive outcomes including feeling more included and valued. Some of the negative impacts included bullying and exploitation. The high cost of technology and some elements of design sometimes make social media inaccessible.ConclusionsThe studies included provided evidence about the experience of using social media from adults with intellectual disabilities and some perspectives of family members and paid supporters. Future research is needed to examine effective approaches to overcoming barriers to access and ways to manage some of the negative impacts of engagement in order to inform policy and practice.
Dopaminergic signalling and behavioural alterations by Comt–Dtnbp1 genetic interaction and their clinical relevance
Authors: Managò Francesca , Scheggia Diego , Pontillo Maria , Mereu Maddalena , Mastrogiacomo Rosa , Udayan Gayatri , Valentini Paola , Tata Maria Cristina , Weinberger Daniel R. , Weickert Cynthia S. , Pompa Pier Paolo , De Luca Maria A. , Vicari Stefano , Papaleo Francesco 
Published: May 2023

Background and PurposeCognitive and motor functions are modulated by dopaminergic signalling, which is shaped by several genetic factors. The biological effects of single genetic variants might differ depending on epistatic interactions that can be functionally multi‐directional and non‐linear.Experimental ApproachWe performed behavioural and neurochemical assessments in genetically modified mice and behavioural assessments and genetic screening in human patients with 22q11.2 deletion syndrome (22q11.2DS).Key ResultsHere, we confirm a genetic interaction between the Comt (catechol‐O‐methyltransferase, human orthologue: COMT) and Dtnbp1 (dystrobrevin binding protein 1, alias dysbindin, human orthologue: DTNBP1) genes that modulate cortical and striatal dopaminergic signalling in a manner not predictable by the effects of each single gene. In mice, Comt‐by‐Dtnbp1 concomitant reduction leads to a hypoactive mesocortical and a hyperactive mesostriatal dopamine pathway, associated with specific cognitive abnormalities. Like mice, in subjects with the 22q11.2DS (characterized by COMT hemideletion and dopamine alterations), COMT‐by‐DTNBP1 concomitant reduction was associated with analogous cognitive disturbances. We then developed an easy and inexpensive colourimetric kit for the genetic screening of common COMT and DTNBP1 functional genetic variants for clinical application.Conclusions and ImplicationsThese findings illustrate an epistatic interaction of two dopamine‐related genes and their functional effects, supporting the need to address genetic interaction mechanisms at the base of complex behavioural traits.
“I screamed but then realized nobody was listening”: Exploration of the presence of others during intrafamilial child sexual abuse through survivors' testimonies from the Israeli Independent Public Inquiry
Authors: Klebanov Bella , Katz Carmit 
Published: May 2023

AbstractIntrafamilial child sexual abuse (IFCSA) is perceived as a crime perpetrated without witnesses. Nevertheless, researchers have explored two main aspects of the others present during abusive incidents: bystanders in extra‐familial child sexual abuse and bystanders' decisions of whether to become involved. However, there is a lack of knowledge regarding how children and survivors perceive and experience the presence of others during abusive incidents. The current study examined survivors' experiences and perceptions concerning the presence of others during IFCSA based on their written testimonies for an independent inquiry. Of the more than 500 written testimonies sent to an independent Israeli inquiry, 16 addressed IFCSA and the others present. Inductive thematic analysis was conducted, and four main themes were identified: survivors' perceptions of others, others' responses to the abuse, familial dynamics with others during abuse, and acceptance. The discussion addresses the phenomenon of the presence of others during IFCSA and related theories of trauma and family dynamics. The findings challenge the social perception of IFCSA as a secret, highlighting the awareness that characterizes it in reality, as illustrated in the survivors' testimonies. This emphasizes the urgent need for policy‐makers and professionals to promote the publicness of IFCSA instead of maintaining its secrecy.
Img2Logo: Generating Golden Ratio Logos from Images
Authors: Hsiao Kai‐Wen , Yang Yong‐Liang , Chiu Yung‐Chih , Hu Min‐Chun , Yao Chih‐Yuan , Chu Hung‐Kuo 
Published: May 2023

AbstractLogos are one of the most important graphic design forms that use an abstracted shape to clearly represent the spirit of a community. Among various styles of abstraction, a particular golden‐ratio design is frequently employed by designers to create a concise and regular logo. In this context, designers utilize a set of circular arcs with golden ratios (i.e., all arcs are taken from circles whose radii form a geometric series based on the golden ratio) as the design elements to manually approximate a target shape. This error‐prone process requires a large amount of time and effort, posing a significant challenge for design space exploration. In this work, we present a novel computational framework that can automatically generate golden ratio logo abstractions from an input image. Our framework is based on a set of carefully identified design principles and a constrained optimization formulation respecting these principles. We also propose a progressive approach that can efficiently solve the optimization problem, resulting in a sequence of abstractions that approximate the input at decreasing levels of detail. We evaluate our work by testing on images with different formats including real photos, clip arts, and line drawings. We also extensively validate the key components and compare our results with manual results by designers to demonstrate the effectiveness of our framework. Moreover, our framework can largely benefit design space exploration via easy specification of design parameters such as abstraction levels, golden circle sizes, etc.
Subpixel Deblurring of Anti‐Aliased Raster Clip‐Art
Authors: Yang J. , Vining N. , Kheradmand S. , Carr N. , Sigal L. , Sheffer A. 
Published: May 2023

AbstractArtist generated clip‐art images typically consist of a small number of distinct, uniformly colored regions with clear boundaries. Legacy artist created images are often stored in low‐resolution (100x100px or less) anti‐aliased raster form. Compared to anti‐aliasing free rasterization, anti‐aliasing blurs inter‐region boundaries and obscures the artist's intended region topology and color palette; at the same time, it better preserves subpixel details. Recovering the underlying artist‐intended images from their low‐resolution anti‐aliased rasterizations can facilitate resolution independent rendering, lossless vectorization, and other image processing applications. Unfortunately, while human observers can mentally deblur these low‐resolution images and reconstruct region topology, color and subpixel details, existing algorithms applicable to this task fail to produce outputs consistent with human expectations when presented with such images. We recover these viewer perceived blur‐free images at subpixel resolution, producing outputs where each input pixel is replaced by four corresponding (sub)pixels. Performing this task requires computing the size of the output image color palette, generating the palette itself, and associating each pixel in the output with one of the colors in the palette. We obtain these desired output components by leveraging a combination of perceptual and domain priors, and real world data. We use readily available data to train a network that predicts, for each anti‐aliased image, a low‐blur approximation of the blur‐free double‐resolution outputs we seek. The images obtained at this stage are perceptually closer to the desired outputs but typically still have hundreds of redundant differently colored regions with fuzzy boundaries. We convert these low‐blur intermediate images into blur‐free outputs consistent with viewer expectations using a discrete partitioning procedure guided by the characteristic properties of clip‐art images, observations about the antialiasing process, and human perception of anti‐aliased clip‐art. This step dramatically reduces the size of the output color palettes, and the region counts bringing them in line with viewer expectations and enabling the image processing applications we target. We demonstrate the utility of our method by using our outputs for a number of image processing tasks, and validate it via extensive comparisons to prior art. In our comparative study, participants preferred our deblurred outputs over those produced by the best‐performing alternative by a ratio of 75 to 8.5.
Unsupervised Template Warp Consistency for Implicit Surface Correspondences
Authors: Liu Mengya , Chhatkuli Ajad , Postels Janis , Gool Luc Van , Tombari Federico 
Published: May 2023

AbstractUnsupervised template discovery via implicit representation in a category of shapes has recently shown strong performance. At the core, such methods deform input shapes to a common template space which allows establishing correspondences as well as implicit representation of the shapes. In this work we investigate the inherent assumption that the implicit neural field optimization naturally leads to consistently warped shapes, thus providing both good shape reconstruction and correspondences. Contrary to this convenient assumption, in practice we observe that such is not the case, consequently resulting in sub‐optimal point correspondences. In order to solve the problem, we re‐visit the warp design and more importantly introduce explicit constraints using unsupervised sparse point predictions, directly encouraging consistency of the warped shapes. We use the unsupervised sparse keypoints in order to further condition the deformation warp and enforce the consistency of the deformation warp. Experiments in dynamic non‐rigid DFaust and ShapeNet categories show that our problem identification and solution provide the new state‐of‐the‐art in unsupervised dense correspondences.
Surface Maps via Adaptive Triangulations
Authors: Schmidt P. , Pieper D. , Kobbelt L. 
Published: May 2023

AbstractWe present a new method to compute continuous and bijective maps (surface homeomorphisms) between two or more genus‐0 triangle meshes. In contrast to previous approaches, we decouple the resolution at which a map is represented from the resolution of the input meshes. We discretize maps via common triangulations that approximate the input meshes while remaining in bijective correspondence to them. Both the geometry and the connectivity of these triangulations are optimized with respect to a single objective function that simultaneously controls mapping distortion, triangulation quality, and approximation error. A discrete‐continuous optimization algorithm performs both energy‐based remeshing as well as global second‐order optimization of vertex positions, parametrized via the sphere. With this, we combine the disciplines of compatible remeshing and surface map optimization in a unified formulation and make a contribution in both fields. While existing compatible remeshing algorithms often operate on a fixed pre‐computed surface map, we can now globally update this correspondence during remeshing. On the other hand, bijective surface‐to‐surface map optimization previously required computing costly overlay meshes that are inherently tied to the input mesh resolution. We achieve significant complexity reduction by instead assessing distortion between the approximating triangulations. This new map representation is inherently more robust than previous overlay‐based approaches, is less intricate to implement, and naturally supports mapping between more than two surfaces. Moreover, it enables adaptive multi‐resolution schemes that, e.g., first align corresponding surface regions at coarse resolutions before refining the map where needed. We demonstrate significant speedups and increased flexibility over state‐of‐the art mapping algorithms at similar map quality, and also provide a reference implementation of the method.
Learning to Learn and Sample BRDFs
Authors: Liu Chen , Fischer Michael , Ritschel Tobias 
Published: May 2023

AbstractWe propose a method to accelerate the joint process of physically acquiring and learning neural Bi‐directional Reflectance Distribution Function (BRDF) models. While BRDF learning alone can be accelerated by meta‐learning, acquisition remains slow as it relies on a mechanical process. We show that meta‐learning can be extended to optimize the physical sampling pattern, too. After our method has been meta‐trained for a set of fully‐sampled BRDFs, it is able to quickly train on new BRDFs with up to five orders of magnitude fewer physical acquisition samples at similar quality. Our approach also extends to other linear and non‐linear BRDF models, which we show in an extensive evaluation.
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks
Authors: Cha Sihun , Seo Kwanggyoon , Ashtari Amirsaman , Noh Junyong 
Published: May 2023

AbstractThere has been significant progress in generating an animatable 3D human avatar from a single image. However, recovering texture for the 3D human avatar from a single image has been relatively less addressed. Because the generated 3D human avatar reveals the occluded texture of the given image as it moves, it is critical to synthesize the occluded texture pattern that is unseen from the source image. To generate a plausible texture map for 3D human avatars, the occluded texture pattern needs to be synthesized with respect to the visible texture from the given image. Moreover, the generated texture should align with the surface of the target 3D mesh. In this paper, we propose a texture synthesis method for a 3D human avatar that incorporates geometry information. The proposed method consists of two convolutional networks for the sampling and refining process. The sampler network fills in the occluded regions of the source image and aligns the texture with the surface of the target 3D mesh using the geometry information. The sampled texture is further refined and adjusted by the refiner network. To maintain the clear details in the given image, both sampled and refined texture is blended to produce the final texture map. To effectively guide the sampler network to achieve its goal, we designed a curriculum learning scheme that starts from a simple sampling task and gradually progresses to the task where the alignment needs to be considered. We conducted experiments to show that our method outperforms previous methods qualitatively and quantitatively.
Directionality‐Aware Design of Embroidery Patterns
Authors: Zhenyuan Liu , Piovarči Michal , Hafner Christian , Charrondière Raphaël , Bickel Bernd 
Published: May 2023

AbstractEmbroidery is a long‐standing and high‐quality approach to making logos and images on textiles. Nowadays, it can also be performed via automated machines that weave threads with high spatial accuracy. A characteristic feature of the appearance of the threads is a high degree of anisotropy. The anisotropic behavior is caused by depositing thin but long strings of thread. As a result, the stitched patterns convey both color and direction. Artists leverage this anisotropic behavior to enhance pure color images with textures, illusions of motion, or depth cues. However, designing colorful embroidery patterns with prescribed directionality is a challenging task, one usually requiring an expert designer. In this work, we propose an interactive algorithm that generates machine‐fabricable embroidery patterns from multi‐chromatic images equipped with user‐specified directionality fields. We cast the problem of finding a stitching pattern into vector theory. To find a suitable stitching pattern, we extract sources and sinks from the divergence field of the vector field extracted from the input and use them to trace streamlines. We further optimize the streamlines to guarantee a smooth and connected stitching pattern. The generated patterns approximate the color distribution constrained by the directionality field. To allow for further artistic control, the trade‐off between color match and directionality match can be interactively explored via an intuitive slider. We showcase our approach by fabricating several embroidery paths.
Non‐linear Rough 2D Animation using Transient Embeddings
Authors: Even Melvin , Bénard Pierre , Barla Pascal 
Published: May 2023

AbstractTraditional 2D animation requires time and dedication since tens of thousands of frames need to be drawn by hand for a typical production. Many computer‐assisted methods have been proposed to automatize the generation of inbetween frames from a set of clean line drawings, but they are all limited by a rigid workflow and a lack of artistic controls, which is in the most part due to the one‐to‐one stroke matching and interpolation problems they attempt to solve. In this work, we take a novel view on those problems by focusing on an earlier phase of the animation process that uses rough drawings (i.e., sketches). Our key idea is to recast the matching and interpolation problems so that they apply to transient embeddings, which are groups of strokes that only exist for a few keyframes. A transient embedding carries strokes between keyframes both forward and backward in time through a sequence of transformed lattices. Forward and backward strokes are then cross‐faded using their thickness to yield rough inbetweens. With our approach, complex topological changes may be introduced while preserving visual motion continuity. As demonstrated on state‐of‐the‐art 2D animation exercises, our system provides unprecedented artistic control through the non‐linear exploration of movements and dynamics in real‐time.