bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the success of wildlife crossing structures using genetic approaches and an experimental design: Lessons from a gliding mammal
Authors: Soanes Kylie , Taylor Andrea C. , Sunnucks Paul , Vesk Peter A. , Cesarini Silvana , van der Ree Rodney 
Published: July 2017

Abstract

Millions of dollars are spent on wildlife crossing structures intended to reduce the barrier effects of roads on wildlife. However, we know little about the degree to which these structures facilitate dispersal and gene flow.

Our study incorporates two elements that are rarely used in the evaluation of wildlife crossing structures: an experimental design including a before and after comparison, and the use of genetic techniques to demonstrate effects on gene flow at both population and individual levels. We evaluated the effect of wildlife crossing structures (canopy bridges and glider poles) on a gliding mammal, the squirrel glider (Petaurus norfolcensis). We genotyped 399 individuals at eight microsatellite markers to analyse population structure, first‐generation migrants and parentage relationships.

We found that the freeway was not a complete genetic barrier, with a strong effect evident at only one site. We hypothesise that the presence of corridors alongside the freeway and throughout the surrounding landscape facilitated circuitous detours for squirrel gliders.

Installing a crossing structure at the location with a strong barrier effect restored gene flow within just 5 years of mitigation.

Synthesis and applications. Our study highlights the importance of using genetic techniques not just to evaluate the success of road‐crossing structures for wildlife, but also to guide their placement within the landscape. Managers wishing to reduce the effects of linear infrastructure on squirrel gliders and other arboreal mammals should aim to preserve and enhance vegetation along roadsides and within centre medians, as well as mitigate large gaps by implementing wildlife crossing structures.
Effects of Myricetin‐Containing Ethanol Solution on High‐Fat Diet Induced Obese Rats
Authors: Chao Hsueh‐Chin , Tsai Pei‐Feng , Lee Sheng‐Chi , Lin Yeong‐Shenn , Wu Ming‐Chang 
Published: July 2017

AbstractMyricetin is a natural flavonol widely occurring in wines. Many beneficial effects of myricetin in alcoholic beverages have been reported before, but never including anti‐obesity. In the present study, we fed obese male Sprague–Dawley rats with ethanol solutions containing various concentrations of myricetin and found that myricetin may maintain the food intake while reduce the weight‐gain, feed efficiency, level of blood lipids, adipocyte size, and weight and size of the perirenal and epididymal adipose tissues (P < 0.01). Our experiment data also show that the anti‐obesity effect may be associated with the upregulation of adropin and β‐endorphin levels. Based on the above‐described findings, we propose the potential for myricetin‐containing alcoholic beverages to be developed into anti‐obesity health food.
Inhibition of microsomal PGE synthase‐1 reduces human vascular tone by increasing PGI2: a safer alternative to COX‐2 inhibition
Authors: Ozen Gulsev , Gomez Ingrid , Daci Armond , Deschildre Catherine , Boubaya Lilia , Teskin Onder , Uydeş‐Doğan B Sonmez , Jakobsson Per‐Johan , Longrois Dan , Topal Gokce , Norel Xavier 
Published: July 2017

Background and PurposeThe side effects of cyclooxygenase‐2 (COX‐2) inhibitors on the cardiovascular system could be associated with reduced prostaglandin (PG)I2 synthesis. Microsomal PGE synthase‐1 (mPGES‐1) catalyses the formation of PGE2 from COX‐derived PGH2. This enzyme is induced under inflammatory conditions and constitutes an attractive target for novel anti‐inflammatory drugs. However, it is not known whether mPGES‐1 inhibitors could be devoid of cardiovascular side effects. The aim of this study was to compare, in vitro, the effects of mPGES‐1 and COX‐2 inhibitors on vascular tone in human blood vessels.Experimental ApproachThe vascular tone and prostanoid release from internal mammary artery (IMA) and saphenous vein (SV) incubated for 30 min with inhibitors of mPGES‐1 or COX‐2 were investigated under normal and inflammatory conditions.Key ResultsIn inflammatory conditions, mPGES‐1 and COX‐2 proteins were more expressed, and increased levels of PGE2 and PGI2 were released. COX‐2 and NOS inhibitors increased noradrenaline induced vascular contractions in IMA under inflammatory conditions while no effect was observed in SV. Interestingly, the mPGES‐1 inhibitor significantly reduced (30–40%) noradrenaline‐induced contractions in both vessels. This effect was reversed by an IP (PGI2 receptor) antagonist but not modified by NOS inhibition. Moreover, PGI2 release was increased with the mPGES‐1 inhibitor and decreased with the COX‐2 inhibitor, while both inhibitors reduced PGE2 release.Conclusions and ImplicationsIn contrast to COX‐2 inhibition, inhibition of mPGES‐1 reduced vasoconstriction by increasing PGI2 synthesis. Targeting mPGES‐1 could provide a lower risk of cardiovascular side effects, compared with those of the COX‐2 inhibitors.Linked ArticlesThis article is part of a themed section on Targeting Inflammation to Reduce Cardiovascular Disease Risk. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.22/issuetoc and http://onlinelibrary.wiley.com/doi/10.1111/bcp.v82.4/issuetoc
Motivating perpetrators of domestic and family violence to engage in behaviour change: The role of fatherhood
Authors: Meyer Silke 
Published: July 2017

AbstractPolicies and practices around domestic and family violence (DFV) increasingly focus on perpetrator accountability. With growing evidence that punitive responses alone have a limited deterrent effect on perpetrators, behaviour change programs play a significant role in creating accountability and improving safety for victims and children. Motivating perpetrators to engage in such programs can, however, be challenging. Few perpetrators seem to recognize the need to change for their intimate (ex)‐partner due to victim‐blaming attitudes and a sense that relationships are replaceable. Relationships with their children on the other hand seem to hold more value. This article explores the role of fatherhood as a motivating factor for male perpetrators to engage in relevant behaviour change programs. Based on face‐to‐face interviews with 18 fathers in a court‐mandated intervention program, findings alert to the need for education of abusive fathers in 3 key areas: the impact of DFV on children's well‐being, the impact of DFV on the parent–child relationship, and the impact of DFV‐related repercussions on the parent–child relationship. Fathers' desire to have a relationship with their children suggests fatherhood offers a viable angle to motivate their engagement in interventions that address gendered forms of DFV and subsequently improve victims' and children's safety.
Visual Verification of Cancer Staging for Therapy Decision Support
Authors: Cypko M.A. , Wojdziak J. , Stoehr M. , Kirchner B. , Preim B. , Dietz A. , Lemke H. U. , Oeltze‐Jafra S. 
Published: July 2017

AbstractIt is generally accepted practice that each cancer patient case should be discussed in a clinical expert meeting, the so‐called tumor board. A central role in finding the best therapy options for patients with solid tumors plays the Tumor, lymph Node, and Metastasis staging (TNM staging). Correctness of TNM staging has a significant impact on the therapy choice and hence on the patient's post‐therapeutic quality of life or even survival. If inconsistencies in the TNM staging occur, possible explanations and solutions must be found based on the complex patient records, which takes the costly time of (multiple) physicians. We propose a more efficient visual analysis component, which supports a physician in verifying the given TNM staging before forwarding it to the tumor board. Our component comprises a Bayesian network model of the TNM staging process. Using information from the patient records and Bayesian inference, the models computes a patient‐specific TNM staging, which is then explored and compared to the given staging by means of a graph‐based visualization. Our component is implemented in a research prototype that supports an understanding of the model computations, allows for a fast identification of important influencing factors, and facilitates a quick detection of differences between two TNM stagings. We evaluated our component with five physicians, each studying 20 cases of laryngeal cancer.
Sclow Plots: Visualizing Empty Space
Authors: Giesen J. , Kühne L. , Lucas P. 
Published: July 2017

AbstractScatter plots are mostly used for correlation analysis, but are also a useful tool for understanding the distribution of high‐dimensional point cloud data. An important characteristic of such distributions are clusters, and scatter plots have been used successfully to identify clusters in data. Another characteristic of point cloud data that has received less attention so far are regions that contain no or only very few data points. We show that augmenting scatter plots by projections of flow lines along the gradient vector field of the distance function to the point cloud reveals such empty regions or voids. The augmented scatter plots, that we call sclow plots, enable a much better understanding of the geometry underlying the point cloud than traditional scatter plots, and by that support tasks like dimension inference, detecting outliers, or identifying data points at the interface between clusters. We demonstrate the feasibility of our approach on synthetic and real world data sets.
Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering
Authors: Ren Donghao , Lee Bongshin , Höllerer Tobias 
Published: July 2017

AbstractWeb‐based visualization libraries are in wide use, but performance bottlenecks occur when rendering, and especially animating, a large number of graphical marks. While GPU‐based rendering can drastically improve performance, that paradigm has a steep learning curve, usually requiring expertise in the computer graphics pipeline and shader programming. In addition, the recent growth of virtual and augmented reality poses a challenge for supporting multiple display environments beyond regular canvases, such as a Head Mounted Display (HMD) and Cave Automatic Virtual Environment (CAVE). In this paper, we introduce a new web‐based visualization library called Stardust, which provides a familiar API while leveraging GPU's processing power. Stardust also enables developers to create both 2D and 3D visualizations for diverse display environments using a uniform API. To demonstrate Stardust's expressiveness and portability, we present five example visualizations and a coding playground for four display environments. We also evaluate its performance by comparing it against the standard HTML5 Canvas, D3, and Vega.
Interactive Ambiguity Resolution of Named Entities in Fictional Literature
Authors: Stoffel Florian , Jentner Wolfgang , Behrisch Michael , Fuchs Johannes , Keim Daniel 
Published: July 2017

AbstractNamed entity recognition (NER) denotes the task to detect entities and their corresponding classes, such as person or location, in unstructured text data. For most applications, state of the art NER software is producing reasonable results. However, as a consequence of the methodological limitations and the well‐known pitfalls when analyzing natural language data, the NER results are likely to contain ambiguities. In this paper, we present an interactive NER ambiguity resolution technique, which enables users to create (post‐processing) rules for named entity recognition data based on the content and entity context of the analyzed documents. We specifically address the problem that in use‐cases where ambiguities are problematic, such as the attribution of fictional characters with traits, it is often unfeasible to train models on custom data to improve state of the art NER software. We derive an iterative process model for improving NER results, show an interactive NER ambiguity resolution prototype, illustrate our approach with contemporary literature, and discuss our work and future research.
NEREx: Named‐Entity Relationship Exploration in Multi‐Party Conversations
Authors: El‐Assady Mennatallah , Sevastjanova Rita , Gipp Bela , Keim Daniel , Collins Christopher 
Published: July 2017

AbstractWe present NEREx, an interactive visual analytics approach for the exploratory analysis of verbatim conversational transcripts. By revealing different perspectives on multi‐party conversations, NEREx gives an entry point for the analysis through high‐level overviews and provides mechanisms to form and verify hypotheses through linked detail‐views. Using a tailored named‐entity extraction, we abstract important entities into ten categories and extract their relations with a distance‐restricted entity‐relationship model. This model complies with the often ungrammatical structure of verbatim transcripts, relating two entities if they are present in the same sentence within a small distance window. Our tool enables the exploratory analysis of multi‐party conversations using several linked views that reveal thematic and temporal structures in the text. In addition to distant‐reading, we integrated close‐reading views for a text‐level investigation process. Beyond the exploratory and temporal analysis of conversations, NEREx helps users generate and validate hypotheses and perform comparative analyses of multiple conversations. We demonstrate the applicability of our approach on real‐world data from the 2016 U.S. Presidential Debates through a qualitative study with three domain experts from political science.
Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance‐Based Abstraction
Authors: Bögl M. , Filzmoser P. , Gschwandtner T. , Lammarsch T. , Leite R. A. , Miksch S. , Rind A. 
Published: July 2017

AbstractThe cycle plot is an established and effective visualization technique for identifying and comprehending patterns in periodic time series, like trends and seasonal cycles. It also allows to visually identify and contextualize extreme values and outliers from a different perspective. Unfortunately, it is limited to univariate data. For multivariate time series, patterns that exist across several dimensions are much harder or impossible to explore. We propose a modified cycle plot using a distance‐based abstraction (Mahalanobis distance) to reduce multiple dimensions to one overview dimension and retain a representation similar to the original. Utilizing this distance‐based cycle plot in an interactive exploration environment, we enhance the Visual Analytics capacity of cycle plots for multivariate outlier detection. To enable interactive exploration and interpretation of outliers, we employ coordinated multiple views that juxtapose a distance‐based cycle plot with Cleveland's original cycle plots of the underlying dimensions. With our approach it is possible to judge the outlyingness regarding the seasonal cycle in multivariate periodic time series.
Understanding Indirect Causal Relationships in Node‐Link Graphs
Authors: Bae Juhee , Helldin Tove , Riveiro Maria 
Published: July 2017

AbstractTo find correlations and cause and effect relationships in multivariate data sets is central in many data analysis problems. A common way of representing causal relations among variables is to use node‐link diagrams, where nodes depict variables and edges show relationships between them. When performing a causal analysis, analysts may be biased by the position of collected evidences, especially when they are at the top of a list. This is of crucial importance since finding a root cause or a derived effect, and searching for causal chains of inferences are essential analytic tasks when investigating causal relationships. In this paper, we examine whether sequential ordering influences understanding of indirect causal relationships and whether it improves readability of multi‐attribute causal diagrams. Moreover, we see how people reason to identify a root cause or a derived effect. The results of our design study show that sequential ordering does not play a crucial role when analyzing causal relationships, but many connections from/to a variable and higher strength/certainty values may influence the process of finding a root cause and a derived effect.
Social Media Visual Analytics
Authors: Chen Siming , Lin Lijing , Yuan Xiaoru 
Published: July 2017

AbstractWith the development of social media (e.g. Twitter, Flickr, Foursquare, Sina Weibo, etc.), a large number of people are now using them and post microblogs, messages and multi‐media information. The everyday usage of social media results in big open social media data. The data offer fruitful information and reflect social behaviors of people. There is much visualization and visual analytics research on such data. We collect state‐of‐the‐art research and put it into three main categories: social network, spatial temporal information and text analysis. We further summarize the visual analytics pipeline for the social media, combining the above categories and supporting complex tasks. With these techniques, social media analytics can apply to multiple disciplines. We summarize the applications and public tools to further investigate the challenges and trends.
Propositional Attitudes and Embodied Skills in the Philosophy of Action
Authors: Hasselberger William 
Published: July 2017

AbstractPropositionalism in the philosophy of action is the popular view that intentional actions are bodily movements caused and rationalized by certain ‘internal’ propositional attitude states that constitute the agent's perspective. I attack propositionalism's background claim that the genuinely mental/cognitive dimension of human action resides solely in some range of ‘internal’ agency‐conferring representational states that causally trigger, and thus are always conceptually disentangle‐able from, bodily activity itself. My opposing claim, following Ryle, Wittgenstein, and others, is that mentality and intentionality can be constitutively implicated in bodily actions themselves, as exercises of a distinctive form of embodied practical understanding. I attempt to show this by attending to the fine‐grained contours of various skillful actions.
Clinical studies and anti‐inflammatory mechanisms of treatments
Authors: French Jacqueline A. , Koepp Matthias , Naegelin Yvonne , Vigevano Federico , Auvin Stéphane , Rho Jong M. , Rosenberg Evan , Devinsky Orrin , Olofsson Peder S. , Dichter Marc A. 
Published: July 2017

SummaryIn this exciting era, we are coming closer and closer to bringing an anti‐inflammatory therapy to the clinic for the purpose of seizure prevention, modification, and/or suppression. At present, it is unclear what this approach might entail, and what form it will take. Irrespective of the therapy that ultimately reaches the clinic, there will be some commonalities with regard to clinical trials. A number of animal models have now been used to identify inflammation as a major underlying mechanism of both chronic seizures and the epileptogenic process. These models have demonstrated that specific anti‐inflammatory treatments can be effective at both suppressing chronic seizures and interfering with the process of epileptogenesis. Some of these have already been evaluated in early phase clinical trials. It can be expected that there will soon be more clinical trials of both “conventional, broad spectrum” anti‐inflammatory agents and novel new approaches to utilizing specific anti‐inflammatory therapies with drugs or other therapeutic interventions. A summary of some of those approaches appears below, as well as a discussion of the issues facing clinical trials in this new domain.
Neuroinflammation in epileptogenesis: Insights and translational perspectives from new models of epilepsy
Authors: Barker‐Haliski Melissa L. , Löscher Wolfgang , White H. Steve , Galanopoulou Aristea S. 
Published: July 2017

SummaryAnimal models have provided a wealth of information on mechanisms of epileptogenesis and comorbidogenesis, and have significantly advanced our ability to investigate the potential of new therapies. Processes implicating brain inflammation have been increasingly observed in epilepsy research. Herein we discuss the progress on animal models of epilepsy and comorbidities that inform us on the potential role of inflammation in epileptogenesis and comorbidity pathogenesis in rodent models of West syndrome and the Theiler's murine encephalomyelitis virus (TMEV) mouse model of viral encephalitis–induced epilepsy. Rat models of infantile spasms were generated in rat pups after right intracerebral injections of proinflammatory compounds (lipopolysaccharides with or without doxorubicin, or cytokines) and were longitudinally monitored for epileptic spasms and neurodevelopmental and cognitive deficits. Anti‐inflammatory treatments were tested after the onset of spasms. The TMEV mouse model was induced with intracerebral administration of TMEV and prospective monitoring for handling‐induced seizures or seizure susceptibility, as well as long‐term evaluations of behavioral comorbidities of epilepsy. Inflammatory processes are evident in both models and are implicated in the pathogenesis of the observed seizures and comorbidities. A common feature of these models, based on the data so far available, is their pharmacoresistant profile. The presented data support the role of inflammatory pathways in epileptogenesis and comorbidities in two distinct epilepsy models. Pharmacoresistance is a common feature of both inflammation‐based models. Utilization of these models may facilitate the identification of age‐specific, syndrome‐ or etiology‐specific therapies for the epilepsies and attendant comorbidities, including the drug‐resistant forms.
Seizure‐associated aphasia has good lateralizing but poor localizing significance
Authors: Loesch Anna Mira , Steger Hannah , Losher Claudia , Hartl Elisabeth , Rémi Jan , Vollmar Christian , Noachtar Soheyl 
Published: July 2017

SummaryObjectiveTo investigate the occurrence of ictal and postictal aphasia in different focal epilepsy syndromes.MethodsWe retrospectively analyzed the video‐electroencephalographic monitoring data of 1,118 patients with focal epilepsy for seizure‐associated aphasia (SAA). Statistical analysis included chi‐square analysis and Fisher's exact test.ResultsWe identified 102 of 1,118 patients (9.1%) in whom ictal or postictal aphasia (SAA) was part of their recorded seizures (n = 59 of 102; 57.8%) or who reported aphasia by history (n = 43; 42.2% only reported aphasia by history). Postictal aphasia was present in 18 patients (30.5%). Six of the 59 patients had both ictal and postictal aphasia (10.2%). SAA occurred either with left hemisphere seizure onset or with seizures spreading from the right to the left hemisphere. SAA was most common in patients with parieto‐occipital epilepsy (10.9%; five of 46 patients), followed by patients with temporal (6.7%; 28 of 420 patients), focal (not further localized; 4.8%; 22 of 462 patients), and frontal epilepsy (2.1%; four of 190 patients; p = 0.04). SAA was more common in parieto‐occipital epilepsy than in frontal epilepsy (p = 0.02). In contrast, there was no significant difference in SAA between temporal and parieto‐occipital epilepsy (p = 0.36).SignificanceSAA has a high lateralizing but limited localizing value, as it often reflects spread of epileptic activity into speech‐harboring brain regions.