bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardiac Ventricular Laceration Due to Child Abuse: Abusive Ventricular Laceration
Authors: Yarid Nicole , Brown Emily C. , Boos Markus , Otjen Jeffrey , Metz James , Jenny Carole , Feldman Kenneth W.
Published: July 2018

Traumatic cardiac ventricular ruptures in children are rare. Only a single case of left ventricular rupture due to child abuse has been reported. We report a child who sustained a fatal left ventricular apical rupture. It appeared to have resulted from hydrostatic forces resulting from abusive blunt thoracic injury. That he was being abused was previously missed when he was presented to the emergency department with facial pyoderma. It was not noted that he also had lip and oral mucosal injury, sites not affected by staph toxins. As a result, his underlying, abusive and secondarily infected, facial flow type scald burn was not appreciated. Within a week thereafter his fatal injury occurred, accompanied by extensive and obvious associated abusive injuries. Postmortem high‐detail whole body computed tomography scanning aided the autopsy. Although rare, ventricular rupture from abusive blunt thoracic injury can occur.
Simple Formula for Predicting Drug Removal Rates During Hemodialysis
Authors: Urata Motoki , Narita Yuki , Fukunaga Masaki , Kadowaki Daisuke , Hirata Sumio
Published: July 2018

The present study sought to derive a simple formula for predicting the drug removal rates during hemodialysis. We examined the relationship between drug removal rates during hemodialysis and the molecular weights or pharmacokinetic parameters of injectable drugs (N = 90) obtained from pharmaceutical interview forms in Japan. Stepwise multiple regression analysis with the removal rate by hemodialysis as the objective variable adjusted for molecular weight or pharmacokinetic parameters as explanatory variables, showed that the logarithm of molecular weight (B = −18.87), the protein binding rate (B = −0.40), and the fraction of the unchanged drug excreted into the urine/volume of distribution (B = 0.05) were significantly and independently associated with drug removal rate by hemodialysis (α = 90.78, adjusted R2 = 0.64, P = 2.2e−16). Our data demonstrated that molecular weight, protein binding rate, and volume of distribution were important factors affecting drug removal during hemodialysis, and that our simple regression equation could be used to predict the drug removal rate during hemodialysis.
Elevated Level of miR‐551b‐5p is Associated With Inflammation and Disease Progression in Patients With Severe Acute Pancreatitis
Authors: Zhang Yongpeng , Yan Liying , Han Wang
Published: July 2018

Circulating microRNAs have the potential to be noninvasive biomarkers for assessing disease progression. MicroRNA‐551b‐5p (miR‐551b‐5p) was previously reported to be differentially expressed in pancreatic patients. The serum miR‐551b‐5p level was measured in patients with mild acute pancreatitis (MAP), severe acute pancreatitis (SAP), and healthy controls using quantitative real‐time polymerase chain reaction (RT‐PCR) analysis to evaluate its impact on inflammatory response. Acute Physiology and Chronic Health Evaluation II (APACHE II), Multiple Organ Dysfunction Score (MODS), Sequential Organ Assessment Score (SOFA), and Ranson's scores were recorded. Inflammatory cytokines, IL‐6, IL‐17, IL‐1β, and Tumor Necrosis Factor‐α (TNF‐α), were detected in serum samples obtained from MAP and SAP patients on admission day 1, day 3, and day 5 using Enzyme Linked Immunosorbent Assay (ELISA). Inflammatory cytokines were analyzed in peripheral blood mononuclear cells (PBMCs), which were transfected with miR‐551b‐5p‐negative controls and inhibitors. The serum miR‐551b‐5p level was significantly higher in MAP and SAP patients compared to controls (P < 0.001). An elevated miR‐551b‐5p level is positively associated with APACHE II, MODS, SOFA, and Ranson's scores (P < 0.001). Serum cytokines levels were significantly elevated in MAP and SAP patients compared to controls (P < 0.05). In addition, the level of these inflammatory cytokines was increased in PBMCs of SAP patients in comparison with those of healthy controls (P < 0.05), and this rise was significantly reduced with the addition of an miR‐551b‐5p inhibitor. In conclusion, serum miR‐551b‐5p is elevated in patients with MAP and SAP and is involved in the regulation of inflammatory response. It may be a useful biomarker for assessing the severity of SAP.
Alcohol consumption, depressive symptoms, and the incidence of diabetes‐related complications
Authors: Elgendy Randa , Deschênes Sonya S. , Burns Rachel J. , Levy Melanie , Schmitz Norbert
Published: July 2018

Background

Heavy alcohol consumption in individuals with type 2 diabetes mellitus (T2DM) is related to increased risks of diabetes‐related micro‐ and macrovascular complications. Depressive symptoms may be relevant to this relationship, because high depressive symptoms are associated with an increased risk of complications. This study investigated whether the interaction between depressive symptoms and alcohol frequency was positively related to the development of neuropathy, retinopathy, nephropathy, and coronary artery disease (CAD), such that those with high depressive symptoms and high alcohol frequency will be at increased risk of complications.

Methods

Data were from five waves of the Evaluation of Diabetes Treatment annual survey including 1413 adults with T2DM in Quebec. Data on alcohol frequency (number of drinking occasions), depressive symptoms, and complications were collected annually. The development of each complication was investigated using multiple logistic regression analysis with generalized estimating equations.

Results

After adjusting for sociodemographic, lifestyle, and diabetes‐related covariates, the interaction between alcohol frequency and depressive symptoms was positively related to the incidence of neuropathy and CAD, such that those with high depressive symptoms who drank the most frequently had the highest risk of neuropathy (odds ratio [OR] 1.02, 95% confidence interval [CI] 1.00–1.04; P = 0.04) and CAD (OR 1.02, 95% CI 1.00–1.04; P = 0.04). This interaction was not significantly related to retinopathy or nephropathy.

Conclusion

Individuals with high depressive symptoms and high alcohol frequency may have a particularly high risk of neuropathy and CAD. Future prevention efforts should examine both alcohol frequency and depressive symptoms when evaluating the risk of complications.
Trends and characteristics of naloxone therapy reported to US poison centers
Authors: Rege Saumitra V. , Ngo Duc Anh , Ait‐Daoud Nassima , Sharma Sana , Verplancken Evan , Holstege Christopher P.
Published: July 2018

Background and aims

In the United States, access to naloxone has been expanded as a measure to address growing opioid overdose mortality. The study aimed to describe the national trends in naloxone use as reported to the US poison centers (PCs).

Methods

The National Poison Data System (NPDS) was queried for cases reporting naloxone therapy from 1 January 2001 to 31 December 2016. Demographic and clinical characteristics were assessed descriptively. Trends in naloxone reports were evaluated by using generalized linear mixed models that were adjusted for age, gender and random effects of the geographical census region. Cumulative incidence rates (CIR) of naloxone reports at the state‐ and national‐level were calculated.

Results

There were 304 249 cases reporting naloxone therapy during the study period. The frequency of naloxone reports increased from 9498 in 2000 to 26 826 in 2016. The proportion of cases where naloxone was used prior to PC recommendation increased from 59.8% in 2000 to 81.5% in 2016. The mean number of NPDS naloxone reports per 100 000 human exposures increased from 9.6 [95% confidence interval (CI) = 6.4–14.2] to 31.7 (95% CI = 21.4–46.9, P < 0.001). Among the cases, 52.4% were female and the most frequent age group was 20–39 years (39.1%). The principal reason for a toxic exposure resulting in a naloxone report was suspected suicide (55.0%). Life‐threatening symptoms were seen in one‐fifth of the cases, with 53.9% cases being admitted to critical care units. Opioids (59.7% cases), were the most commonly reported exposure agents, with hydrocodone being most frequently reported. The national CIR of naloxone reports to the US PCs was 6.3 cases per 100 000 population, with West Virginia demonstrating the highest incidence.

Conclusions

Analysis of calls to the United States poison centers indicates an increasing trend of naloxone use from 2000 to 2016.
Can we forgive a militant outgroup member? The role of perspective‐taking
Authors: Noor Masi , Halabi Samer
Published: July 2018

Whereas previous research has commonly studied the effects of perspective‐taking for harmless targets, we examined whether the effect of perspective‐taking might extend to a violent outgroup target. That is, our target not only held members of the adversary group responsible for his plight but also issued a severe threat to them (suicide bombing). We report findings from two studies that were conducted within the intergroup relations between Israelis and Palestinians, defined by a prolonged and violent conflict. Study 1 found that perspective‐taking with a radicalised and threatening Palestinian target could successfully be induced among Israeli participants and, as a result, led to their improved motivation to forgive the target. Study 2 directly manipulated threat in addition to perspective‐taking. Irrespective of the presence of threat, perspective‐taking led to improved motivation to forgive the target as well as to increase interpersonal liking for the target. Increased liking fully mediated the effect of perspective‐taking on forgiveness. Theoretical and practical implications of this research are discussed.
The Brief Intervention Effect of Metaphorical Cognitive Restructuring on Alleviating Mental Distress: A Randomised Controlled Experiment
Authors: Hu Jinghan , Zhang Wencai , Zhang Jianxin , Yu Fei , Zhang Xiaoyu
Published: July 2018

Background

Metaphors may provide clarity or identify hidden similarities between two ideas, and their use in cognitive restructuring can help maximise the effect of therapy information. This study aimed to determine whether metaphorical cognitive restructuring would produce a greater intervention effect in targeted mood and cognition than non‐metaphorical restructuring.

Methods

Eighty‐eight participants chose 25 problems of interest and wrote a self‐report distress problem and were then randomly divided into a metaphorical restructuring group (N= 29), a literal restructuring group (N= 30), or a no restructuring problem restating group (N= 29). Participants first read a description of psychological distress (“problem”) and then read a solution within one micro‐counseling scenario. They were asked to evaluate their insightfulness during the intervention and evaluated mental distress and self‐efficacy before and after the intervention.

Results

The mental distress of the metaphorical restructuring group significantly decreased after the intervention. Further, this group had greater insightfulness during the intervention, and this insightfulness could predict the reduction of negative affect after the intervention.

Conclusions

The use of metaphors can be of great value in eliciting a salient cognitive restructuring process and in alleviating mental distress.
Genetic correlations between body weight, scrotal circumference and visual evaluation scores in Bos indicus cattle
Authors: Abreu Luíza R. A. , Martins Paulo G. M. A. , Mota Lúcio F. M. , Ferreira Talita A. , Ribeiro Virgínia M. P. , Villela Severino D. J. , Merlo Fernanda A. , Pires Aldrin V.
Published: July 2018

The objective was to estimate genetic correlations between body weight (BW), scrotal circumference and visual evaluation scores of body conformation measured at standard ages in Guzerat cattle. All measurements were performed at 205 (weaning age), 365, 450 and 550 days of age; for BW, two additional measurements (at birth and 120 days of age) were realized. The data utilized in this study were retrieved from a database of the Brazilian Association of Zebu Breeders that contained information of registered Guzerat animals born between 1970 and 2013. Genetic parameters were estimated in bi‐trait analyses by using Bayesian inference. Genetic correlations between BW at 205 and 450 days of age with other traits were high and positive, whereas the correlations between visual evaluation scores with other traits were moderate. Based on correlations herein obtained, we conclude that selection based on BW results in increased visual scores and scrotal circumference, leading to improvements in productive performance and animals with best body conformation.
In vivo CYP3A4 activity does not predict the magnitude of interaction between itraconazole and tacrolimus from an extended release formulation
Authors: Vanhove Thomas , Annaert Pieter , Knops Noël , de Loor Henriëtte , de Hoon Jan , Kuypers Dirk R J
Published: July 2018

The magnitude of interaction between the CYP3A4 substrate tacrolimus and various CYP3A4 inhibitors is highly unpredictable. We investigated whether an individual's baseline in vivo CYP3A4 activity, assessed using the oral midazolam (MDZ) probe, could be used to predict the magnitude of drug–drug interaction between tacrolimus and the potent CYP3A4 inhibitor itraconazole. In a prospective single‐arm open‐label study, 16 healthy volunteers were administered single doses of MDZ and tacrolimus before and after a 4‐day course of itraconazole. Itraconazole treatment resulted in a 9.0‐fold decrease in MDZ apparent oral clearance (CL/F) and a 3.3‐fold decrease in tacrolimus CL/F (P < 0.001 for each). MDZ CL/F and tacrolimus CL/F were positively correlated both at baseline (r = 0.582, P = 0.018) and after itraconazole (r = 0.811, P < 0.001). Furthermore, baseline MDZ CL/F was positively correlated to the fold change in MDZ CL/F resulting from CYP3A4 inhibition (r = 0.759, P = 0.001). However, no predictors of change in tacrolimus CL/F resulting from CYP3A4 inhibition were identified, including baseline MDZ CL/F (P = 0.453), baseline tacrolimus CL/F (P = 0.759) and fold change in MDZ CL/F between both phases (P = 0.274). In conclusion, baseline oral MDZ clearance does not predict the magnitude of interaction between tacrolimus and itraconazole.
The role of within‐class consensus on mastery goal structures in predicting socio‐emotional outcomes
Authors: Bardach Lisa , Lüftenegger Marko , Yanagida Takuya , Schober Barbara , Spiel Christiane
Published: July 2018

Background

Within‐class consensus on mastery goal structures describes the extent to which students agree in their perceptions of mastery goal structures. Research on (work) teams suggests that higher levels of consensus within a group indicate a well‐functioning social environment and are thus positively related to beneficial socio‐emotional outcomes. However, the potential of within‐class consensus to predict socio‐emotional outcomes has not yet been explored in research on mastery goal structures.

Aims

This study aimed to test whether within‐class consensus on the three mastery goal structures dimensions of task, autonomy, and recognition/evaluation has predictive power for socio‐emotional outcomes in terms of classroom climate, negative classmate reactions to errors, and cooperative learning.

Sample

A total of 1,455 Austrian secondary school students (65.70% female) in 157 classrooms participated in this study.

Methods

Students responded to items measuring their perceptions of mastery goal structures, classroom climate, error climate, and cooperative learning. Items assessing mastery goal structures, error climate, and cooperative learning referred to the subject of mathematics and items assessing classroom climate referred to positive classmate relations without focusing on a subject.

Results

Results from multilevel structural equation models revealed that within‐class consensus on all mastery goal structures dimensions predicted a less negative error climate. Additionally, consensus regarding task and autonomy predicted more frequent use of cooperative learning strategies, and consensus regarding task predicted a more positive classroom climate.

Conclusions

Our findings show that higher levels of within‐class consensus on mastery goal structures enhance beneficial socio‐emotional outcomes. Moreover, the results emphasize the value of expanding the scope of educational research to the study of within‐class consensus.
Analysis of cabazitaxel‐resistant mechanism in human castration‐resistant prostate cancer
Authors: Hongo Hiroshi , Kosaka Takeo , Oya Mototsugu
Published: July 2018

Cabazitaxel (CBZ) is approved for docetaxel‐resistant castration‐resistant prostate cancer (CRPC). However, efficacy of CBZ for CRPC is limited and there are no effective treatments for CBZ‐resistant CRPC. In order to investigate the CBZ‐resistant mechanism, the establishment of a CBZ‐resistant cell line is urgently needed. We established CBZ‐resistant CRPC cell lines DU145CR and PC3CR by incubating DU145 and PC3 cells with gradually increasing concentrations of CBZ for approximately 2 years. We analyzed the gene expression profiles and cell cycle changes using microarray and flow cytometry. Pathway analysis revealed DU145CR cells had enhanced gene clusters of cell division and mitotic nuclear division. Enhancement of ERK signaling was detected in DU145CR cells. DU145CR cells had resistance to G2/M arrest induced by CBZ through ERK signaling activation. The MEK inhibitor PD184352 significantly inhibited cell proliferation of DU145CR. In contrast to DU145CR, PC3CR cells had enhancement of PI3K/AKT signaling. The PI3K/mTOR inhibitor NVP‐BEZ 235 had a significant antitumor effect in PC3CR cells. Cabazitaxel ‐resistant CRPC cells established in our laboratory had enhancement of cell cycle progression signals and resistance to G2/M arrest induced by CBZ. Enhancement of ERK signaling or PI3K/AKT signaling were detected in the cell lines, so ERK or PI3K/AKT could be therapeutic targets for CBZ‐resistant CRPC.
Unveiling epigenetic regulation in cancer, aging, and rejuvenation with in vivo reprogramming technology
Authors: Sogabe Yuko , Seno Hiroshi , Yamamoto Takuya , Yamada Yasuhiro
Published: July 2018

Reprogramming technology has enabled the fate conversion of terminally differentiated somatic cells into pluripotent stem cells or into another differentiated state. A dynamic reorganization of epigenetic regulation takes place during cellular reprogramming. Given that reprogramming does not require changes in the underlying genome, the technology can be used to actively modify epigenetic regulation. Although reprogramming has been investigated mostly at the cellular level in vitro, studies have reported that somatic cells are reprogrammable in multicellular organisms in vivo. In vivo reprogramming provides a potential strategy for regenerative medicine. Notably, recent studies using in vivo reprogramming technology to alter epigenetic regulation at organismal levels have revealed unappreciated epigenetic mechanisms in various biological phenomena, including cancer development, tissue regeneration, aging, and rejuvenation in mammals. Moreover, in vivo reprogramming technology can be applied to abrogate epigenetic aberrations associated with aging and cancer, which raises the possibility that the technology could provide a potential strategy to control the fate of detrimental cells such as senescent cells and cancer cells in vivo. Here, we review recent progress and future perspectives of in vivo reprogramming.
Identification of ENTPD8 and cytidine in pancreatic cancer by metabolomic and transcriptomic conjoint analysis
Authors: An Yong , Cai Huihua , Yang Yong , Zhang Yue , Liu Shengyong , Wu Xinquan , Duan Yunfei , Sun Donglin , Chen Xuemin
Published: July 2018

To identify metabolic pathways that were perturbed in pancreatic cancer (PC), we investigated gene‐metabolite networks by integration of metabolomic and transcriptomic. In this research, we undertook the metabolomic study of 43 paired human PC samples, aiming to identify key metabolic alterations in PC. We also carried out in vitro experiments to validate that the key metabolite cytidine and its related gene ENTPD8 played an important role in PC cell proliferation. We screened out 13 metabolites differentially expressed in PC tissue (PCT) by liquid chromatography/mass spectrometry analysis on 34 metabolites, and the partial least square discrimination analysis results revealed that 9 metabolites among them were remarkably altered in PCT compared to adjacent noncancerous tissue (variable importance in projection >1, P < .05). Among the 9 metabolites, 7 might be potential biomarkers. The most significantly enriched metabolic pathway was pyrimidine metabolism. We analyzed 351 differentially expressed genes from The Cancer Genome Atlas and intersected them with Kyoto Encyclopedia of Genes and Genomes metabolic pathways. We found that ENTPD8 had a gene‐metabolite association with cytidine in the CTP dephosphorylation pathway. We verified by in vitro experiments that the CTP dephosphorylation pathway was changed in PCT compared with adjacent noncancerous tissue. ENTPD8 was downregulated in PCT, causing a reduction in cytidine formation and hence weakened CTP dephosphorylation in pyrimidine metabolism.
Inflammation and immune resolution
Authors: Taams Leonie S
Published: July 2018

Inspired by the advances presented at the Inflammation and Immune Resolution Plenary Session at the British Society for Immunology Congress, December 2017, in this issue of Clinical & Experimental Immunology we present a Review Series on Inflammation and Immune Resolution. Our selection ranges from an overview of current genetic understanding of the similarities and differences between immune-mediated inflammatory diseases (IMIDs); discussion of several biological mechanisms underlying the aberrant activation of myeloid cells in RA, and how myeloid cell relevant anti-inflammatory mediators may contribute to immune resolution; presentation of fascinating evidence for the existence of innate immune memory in stromal cells and how this may exacerbate or restrain inflammatory disease; and a review of how the interleukin (IL)-6 family members IL-6 and IL-27 may drive or regulate inflammation. Inflammation and immune resolution are two sides of the same coin: the reviews presented in this series aim to equip readers with greater insight into the delicate balance between the two.
Hierarchical Correlation Clustering in Multiple 2D Scalar Fields
Authors: Liebmann Tom , Weber Gunther H. , Scheuermann Gerik
Published: July 2018

Sets of multiple scalar fields can be used to model many types of variation in data, such as uncertainty in measurements and simulations or time‐dependent behavior of scalar quantities. Many structural properties of such fields can be explained by dependencies between different points in the scalar field. Although these dependencies can be of arbitrary complexity, correlation, i.e., the linear dependency, already provides significant structural information. Existing methods for correlation analysis are usually limited to positive correlation, handle only local dependencies, or use combinatorial approximations to this continuous problem. We present a new approach for computing and visualizing correlated regions in sets of 2‐dimensional scalar fields. This paper describes the following three main contributions: (i) An algorithm for hierarchical correlation clustering resulting in a dendrogram, (ii) a generalization of topological landscapes for dendrogram visualization, and (iii) a new method for incorporating negative correlation values in the clustering and visualization. All steps are designed to preserve the special properties of correlation coefficients. The results are visualized in two linked views, one showing the cluster hierarchy as 2D landscape and the other providing a spatial context in the scalar field's domain. Different coloring and texturing schemes coupled with interactive selection support an exploratory data analysis.
Time Lattice: A Data Structure for the Interactive Visual Analysis of Large Time Series
Authors: Miranda Fabio , Lage Marcos , Doraiswamy Harish , Mydlarz Charlie , Salamon Justin , Lockerman Yitzchak , Freire Juliana , Silva Claudio T.
Published: July 2018

Advances in technology coupled with the availability of low‐cost sensors have resulted in the continuous generation of large time series from several sources. In order to visually explore and compare these time series at different scales, analysts need to execute online analytical processing (OLAP) queries that include constraints and group‐by's at multiple temporal hierarchies. Effective visual analysis requires these queries to be interactive. However, while existing OLAP cube‐based structures can support interactive query rates, the exponential memory requirement to materialize the data cube is often unsuitable for large data sets. Moreover, none of the recent space‐efficient cube data structures allow for updates. Thus, the cube must be re‐computed whenever there is new data, making them impractical in a streaming scenario. We propose Time Lattice, a memory‐efficient data structure that makes use of the implicit temporal hierarchy to enable interactive OLAP queries over large time series. Time Lattice is a subset of a fully materialized cube and is designed to handle fast updates and streaming data. We perform an experimental evaluation which shows that the space efficiency of the data structure does not hamper its performance when compared to the state of the art. In collaboration with signal processing and acoustics research scientists, we use the Time Lattice data structure to design the Noise Profiler, a web‐based visualization framework that supports the analysis of noise from cities. We demonstrate the utility of Noise Profiler through a set of case studies.
ChangeCatcher: Increasing Inter‐author Awareness for Visualization Development
Authors: Loorak M. , Tory M. , Carpendale S.
Published: July 2018

We introduce an approach for explicitly revealing changes between versions of a visualization workbook to support version comparison tasks. Visualization authors may need to understand version changes for a variety of reasons, analogous to document editing. An author who has been away for a while may need to catch up on the changes made by their co‐author, or a person responsible for formatting compliance may need to check formatting changes that occurred since the last time they reviewed the work. We introduce ChangeCatcher, a prototype tool to help people find and understand changes in a visualization workbook, specifically, a Tableau workbook. Our design is based on interviews we conducted with experts to investigate user needs and practices around version comparison. ChangeCatcher provides an overview of changes across six categories, and employs a multi‐level details‐on‐demand approach to progressively reveal details. Our qualitative study showed that ChangeCatcher's methods for explicitly revealing and categorizing version changes were helpful in version comparison tasks.
Towards Easy Comparison of Local Businesses Using Online Reviews
Authors: Wang Yong , Haleem Hammad , Shi Conglei , Wu Yanhong , Zhao Xun , Fu Siwei , Qu Huamin
Published: July 2018

With the rapid development of e‐commerce, there is an increasing number of online review websites, such as Yelp, to help customers make better purchase decisions. Viewing online reviews, including the rating score and text comments by other customers, and conducting a comparison between different businesses are the key to making an optimal decision. However, due to the massive amount of online reviews, the potential difference of user rating standards, and the significant variance of review time, length, details and quality, it is difficult for customers to achieve a quick and comprehensive comparison. In this paper, we present E‐Comp, a carefully‐designed visual analytics system based on online reviews, to help customers compare local businesses at different levels of details. More specifically, intuitive glyphs overlaid on maps are designed for quick candidate selection. Grouped Sankey diagram visualizing the rating difference by common customers is chosen for more reliable comparison of two businesses. Augmented word cloud showing adjective‐noun word pairs, combined with a temporal view, is proposed to facilitate in‐depth comparison of businesses in terms of different time periods, rating scores and features. The effectiveness and usability of E‐Comp are demonstrated through a case study and in‐depth user interviews.
Visualizing Expanded Query Results
Authors: Mazurek Michael , Waldner Manuela
Published: July 2018

When performing queries in web search engines, users often face difficulties choosing appropriate query terms. Search engines therefore usually suggest a list of expanded versions of the user query to disambiguate it or to resolve potential term mismatches. However, it has been shown that users find it difficult to choose an expanded query from such a list. In this paper, we describe the adoption of set‐based text visualization techniques to visualize how query expansions enrich the result space of a given user query and how the result sets relate to each other. Our system uses a linguistic approach to expand queries and topic modeling to extract the most informative terms from the results of these queries. In a user study, we compare a common text list of query expansion suggestions to three set‐based text visualization techniques adopted for visualizing expanded query results – namely, Compact Euler Diagrams, Parallel Tag Clouds, and a List View – to resolve ambiguous queries using interactive query expansion. Our results show that text visualization techniques do not increase retrieval efficiency, precision, or recall. Overall, users rate Parallel Tag Clouds visualizing key terms of the expanded query space lowest. Based on the results, we derive recommendations for visualizations of query expansion results, text visualization techniques in general, and discuss alternative use cases of set‐based text visualization techniques in the context of web search.
Towards User‐Centered Active Learning Algorithms
Authors: Bernard Jürgen , Zeppelzauer Matthias , Lehmann Markus , Müller Martin , Sedlmair Michael
Published: July 2018

The labeling of data sets is a time‐consuming task, which is, however, an important prerequisite for machine learning and visual analytics. Visual‐interactive labeling (VIAL) provides users an active role in the process of labeling, with the goal to combine the potentials of humans and machines to make labeling more efficient. Recent experiments showed that users apply different strategies when selecting instances for labeling with visual‐interactive interfaces. In this paper, we contribute a systematic quantitative analysis of such user strategies. We identify computational building blocks of user strategies, formalize them, and investigate their potentials for different machine learning tasks in systematic experiments. The core insights of our experiments are as follows. First, we identified that particular user strategies can be used to considerably mitigate the bootstrap (cold start) problem in early labeling phases. Second, we observed that they have the potential to outperform existing active learning strategies in later phases. Third, we analyzed the identified core building blocks, which can serve as the basis for novel selection strategies. Overall, we observed that data‐based user strategies (clusters, dense areas) work considerably well in early phases, while model‐based user strategies (e.g., class separation) perform better during later phases. The insights gained from this work can be applied to develop novel active learning approaches as well as to better guide users in visual interactive labeling.
Design Factors for Summary Visualization in Visual Analytics
Authors: Sarikaya A. , Gleicher M. , Szafir D. A.
Published: July 2018

Data summarization allows analysts to explore datasets that may be too complex or too large to visualize in detail. Designers face a number of design and implementation choices when using summarization in visual analytics systems. While these choices influence the utility of the resulting system, there are no clear guidelines for the use of these summarization techniques. In this paper, we codify summarization use in existing systems to identify key factors in the design of summary visualizations. We use quantitative content analysis to systematically survey examples of visual analytics systems and enumerate the use of these design factors in data summarization. Through this analysis, we expose the relationship between design considerations, strategies for data summarization in visualization systems, and how different summarization methods influence the analyses supported by systems. We use these results to synthesize common patterns in real‐world use of summary visualizations and highlight open challenges and opportunities that these patterns offer for designing effective systems. This work provides a more principled understanding of design practices for summary visualization and offers insight into underutilized approaches.
Explorative Blood Flow Visualization using Dynamic Line Filtering based on Surface Features
Authors: Behrendt B. , Berg P. , Beuing O. , Preim B. , Saalfeld S.
Published: July 2018

Rupture risk assessment is a key to devise patient‐specific treatment plans of cerebral aneurysms. To understand and predict the development of aneurysms and other vascular diseases over time, both hemodynamic flow patterns and their effect on the vessel surface need to be analyzed. Flow structures close to the vessel wall often correlate directly with local changes in surface parameters, such as pressure or wall shear stress. Yet, in many existing applications, the analyses of flow and surface features are either somewhat detached from one another or only globally available. Especially for the identification of specific blood flow characteristics that cause local startling parameters on the vessel surface, like elevated pressure values, an interactive analysis tool is missing.

The explorative visualization of flow data is challenging due to the complexity of the underlying data. In order to find meaningful structures in the entirety of the flow, the data has to be filtered based on the respective explorative aim. In this paper, we present a combination of visualization, filtering and interaction techniques for explorative analysis of blood flow with a focus on the relation of local surface parameters and underlying flow structures. Coherent bundles of pathlines can be interactively selected based on their relation to features of the vessel wall and further refined based on their own hemodynamic features. This allows the user to interactively select and explore flow structures locally affecting a certain region on the vessel wall and therefore to understand the cause and effect relationship between these entities. Additionally, multiple selected flow structures can be compared with respect to their quantitative parameters, such as flow speed. We confirmed the usefulness of our approach by conducting an informal interview with two expert neuroradiologists and an expert in flow simulation. In addition, we recorded several insights the neuroradiologists were able to gain with the help of our tool.
Visual and quantitative analysis of great arteries’ blood flow jets in cardiac 4D PC‐MRI data
Authors: Köhler B. , Grothoff M. , Gutberlet M. , Preim B.
Published: July 2018

Flow in the great arteries (aorta, pulmonary artery) is normally laminar with a parabolic velocity profile. Eccentric flow jets are linked to various diseases like aneurysms. Cardiac 4D PC‐MRI data provide spatio‐temporally resolved blood flow information for the whole cardiac cycle. In this work, we establish a time‐dependent visualization and quantification of flow jets. For this purpose, equidistant measuring planes are automatically placed along the vessel's centerline. The flow jet position and region with highest velocities are extracted for every plane in each time step. This is done during pre‐processing and without user‐defined parameters. We visualize the main flow jet as geometric tube. High‐velocity areas are depicted as a net around this tube. Both geometries are time‐dependent and can be animated. Quantitative values are provided during cross‐sectional measuring plane‐based evaluation. Moreover, we offer a plot visualization as summary of flow jet characteristics for the selected plane. Our physiologically plausible results are in accordance with medical findings. Our clinical collaborators appreciate the possibility to view the flow jet in the whole vessel at once, which normally requires repeated pathline filtering due to varying velocities along the vessel course. The overview plots are considered as valuable for documentation purposes.
Hypersliceplorer: Interactive visualization of shapes in multiple dimensions
Authors: Torsney‐Weir T. , Möller T. , Sedlmair M. , Kirby R. M.
Published: July 2018

In this paper we present Hypersliceplorer, an algorithm for generating 2D slices of multi‐dimensional shapes defined by a simplical mesh. Often, slices are generated by using a parametric form and then constraining parameters to view the slice. In our case, we developed an algorithm to slice a simplical mesh of any number of dimensions with a two‐dimensional slice. In order to get a global appreciation of the multi‐dimensional object, we show multiple slices by sampling a number of different slicing points and projecting the slices into a single view per dimension pair. These slices are shown in an interactive viewer which can switch between a global view (all slices) and a local view (single slice). We show how this method can be used to study regular polytopes, differences between spaces of polynomials, and multi‐objective optimization surfaces.
Exploring High‐Dimensional Structure via Axis‐Aligned Decomposition of Linear Projections
Authors: Thiagarajan J. J. , Liu S. , Ramamurthy K. N. , Bremer P.‐T.
Published: July 2018

Two‐dimensional embeddings remain the dominant approach to visualize high dimensional data. The choice of embeddings ranges from highly non‐linear ones, which can capture complex relationships but are difficult to interpret quantitatively, to axis‐aligned projections, which are easy to interpret but are limited to bivariate relationships. Linear project can be considered as a compromise between complexity and interpretability, as they allow explicit axes labels, yet provide significantly more degrees of freedom compared to axis‐aligned projections. Nevertheless, interpreting the axes directions, which are often linear combinations of many non‐trivial components, remains difficult. To address this problem we introduce a structure aware decomposition of (multiple) linear projections into sparse sets of axis‐aligned projections, which jointly capture all information of the original linear ones. In particular, we use tools from Dempster‐Shafer theory to formally define how relevant a given axis‐aligned project is to explain the neighborhood relations displayed in some linear projection. Furthermore, we introduce a new approach to discover a diverse set of high quality linear projections and show that in practice the information of k linear projections is often jointly encoded in ∼ k axis‐aligned plots. We have integrated these ideas into an interactive visualization system that allows users to jointly browse both linear projections and their axis‐aligned representatives. Using a number of case studies we show how the resulting plots lead to more intuitive visualizations and new insights.
Visualizing Multidimensional Data with Order Statistics
Authors: Raj M. , Whitaker R. T.
Published: July 2018

Multidimensional data sets are common in many domains, and dimensionality reduction methods that determine a lower dimensional embedding are widely used for visualizing such data sets. This paper presents a novel method to project data onto a lower dimensional space by taking into account the order statistics of the individual data points, which are quantified by their depth or centrality in the overall set. Thus, in addition to conveying relative distances in the data, the proposed method also preserves the order statistics, which are often lost or misrepresented by existing visualization methods. The proposed method entails a modification of the optimization objective of conventional multidimensional scaling (MDS) by introducing a term that penalizes discrepancies between centrality structures in the original space and the embedding. We also introduce two strategies for visualizing lower dimensional embeddings of multidimensional data that takes advantage of the coherent representation of centrality provided by the proposed projection method. We demonstrate the effectiveness of our visualization with comparisons on different kinds of multidimensional data, including categorical and multimodal, from a variety of domains such as botany and health care.
Visualizing the Phase Space of Heterogeneous Inertial Particles in 2D Flows
Authors: Rojo Irene Baeza , Gross Markus , Günther Tobias
Published: July 2018

In many scientific disciplines, the motion of finite‐sized objects in fluid flows plays an important role, such as in brownout engineering, sediment transport, oceanology or meteorology. These finite‐sized objects are called inertial particles and, in contrast to traditional tracer particles, their motion depends on their current position, their own particle velocity, the time and their size. Thus, the visualization of their motion becomes a high‐dimensional problem that entails computational and perceptual challenges. So far, no visualization explored and visualized the particle trajectories under variation of all seeding parameters. In this paper, we propose three coordinated views that visualize the different aspects of the high‐dimensional space in which the particles live. We visualize the evolution of particles over time, showing that particles travel different distances in the same time, depending on their size. The second view provides a clear illustration of the trajectories of different particle sizes and allows the user to easily identify differences due to particle size. Finally, we embed the trajectories in the space‐velocity domain and visualize their distance to an attracting manifold using ribbons. In all views, we support interactive linking and brushing, and provide abstraction through density volumes that are shown by direct volume rendering and isosurface slabs. Using our method, users gain deeper insights into the dynamics of inertial particles in 2D fluids, including size‐dependent separation, preferential clustering and attraction. We demonstrate the effectiveness of our method in multiple steady and unsteady 2D flows.
Visualization of 4D Vector Field Topology
Authors: Hofmann Lutz , Rieck Bastian , Sadlo Filip
Published: July 2018

In this paper, we present an approach to the topological analysis of four‐dimensional vector fields. In analogy to traditional 2D and 3D vector field topology, we provide a classification and visual representation of critical points, together with a technique for extracting their invariant manifolds. For effective exploration of the resulting four‐dimensional structures, we present a 4D camera that provides concise representation by exploiting projection degeneracies, and a 4D clipping approach that avoids self‐intersection in the 3D projection. We exemplify the properties and the utility of our approach using specific synthetic cases.
An Approximate Parallel Vectors Operator for Multiple Vector Fields
Authors: Gerrits Tim , Rössl Christian , Theisel Holger
Published: July 2018

The Parallel Vectors (PV) Operator extracts the locations of points where two vector fields are parallel. In general, these features are line structures. The PV operator has been used successfully for a variety of problems, which include finding vortex‐core lines or extremum lines. We present a new generic feature extraction method for multiple 3D vector fields: The Approximate Parallel Vectors (APV) Operator extracts lines where all fields are approximately parallel. The definition of the APV operator is based on the application of PV for two vector fields that are derived from the given set of fields. The APV operator enables the direct visualization of features of vector field ensembles without processing fields individually and without causing visual clutter. We give a theoretical analysis of the APV operator and demonstrate its utility for a number of ensemble data.
Core Lines in 3D Second‐Order Tensor Fields
Authors: Oster T. , Rössl C. , Theisel H.
Published: July 2018

Vortices are important features in vector fields that show a swirling behavior around a common core. The concept of a vortex core line describes the center of this swirling behavior. In this work, we examine the extension of this concept to 3D second‐order tensor fields. Here, a behavior similar to vortices in vector fields can be observed for trajectories of the eigenvectors. Vortex core lines in vector fields were defined by Sujudi and Haimes to be the locations where stream lines are parallel to an eigenvector of the Jacobian. We show that a similar criterion applied to the eigenvector trajectories of a tensor field yields structurally stable lines that we calltensor core lines. We provide a formal definition of these structures and examine their mathematical properties. We also present a numerical algorithm for extracting tensor core lines in piecewise linear tensor fields. We find all intersections of tensor core lines with the faces of a dataset using a simple and robust root finding algorithm. Applying this algorithm to tensor fields obtained from structural mechanics simulations shows that it is able to effectively detect and visualize regions of rotational or hyperbolic behavior of eigenvector trajectories.
DimSUM: Dimension and Scale Unifying Map for Visual Abstraction of DNA Origami Structures
Authors: Miao H. , De Llano E. , Isenberg T. , Gröller M. E. , Barišić I. , Viola I.
Published: July 2018

We present a novel visualization concept for DNA origami structures that integrates a multitude of representations into a Dimension and Scale Unifying Map (DimSUM). This novel abstraction map provides means to analyze, smoothly transition between, and interact with many visual representations of the DNA origami structures in an effective way that was not possible before. DNA origami structures are nanoscale objects, which are challenging to model in silico. In our holistic approach we seamlessly combine three‐dimensional realistic shape models, two‐dimensional diagrammatic representations, and ordered alignments in one‐dimensional arrangements, with semantic transitions across many scales. To navigate through this large, two‐dimensional abstraction map we highlight locations that users frequently visit for certain tasks and datasets. Particularly interesting viewpoints can be explicitly saved to optimize the workflow. We have developed DimSUM together with domain scientists specialized in DNA nanotechnology. In the paper we discuss our design decisions for both the visualization and the interaction techniques. We demonstrate two practical use cases in which our approach increases the specialists’ understanding and improves their effectiveness in the analysis. Finally, we discuss the implications of our concept for the use of controlled abstraction in visualization in general.