bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the clinical profile of problematic pornography use
Authors: Ince Campbell , Yücel Murat , Albertella Lucy , Fontenelle Leonardo F. 
Published: July 2020

AbstractBackgroundAlthough problematic pornography use (PPU) will soon be diagnosable through the International Classification for Diseases, 11th revision, its clinical profile remains contentious. The current study assessed whether PPU may be characterized by various symptoms sometimes observed among online recovery forums that currently lack empirical assessment, such as heightened cognitive-affective issues following pornography use and sexual dysfunction with partners as a result of escalating use.MethodCross-sectional surveys were completed by male PPUs (N = 138, mean age = 31.75 years, standard deviation = 10.72) recruited via online recovery communities and Amazon Mechanical Turk. Multiple regression analysis was performed using the Problematic Pornography Use Scale as the dependent variable and variables of interest (Arizona Sexual Experiences Scales modified for partnered sex and pornography use, Brunel Mood Scale, Social Interaction Anxiety Scale, and the Tolerance subscale from the Problematic Pornography Consumption Scale) and potential confounders (eg, comorbid psychopathology) as independent variables.ResultsCurrent levels of pornography use, indicators of tolerance and escalation, greater sexual functioning with pornography, and psychological distress were uniquely associated with PPU severity, while cognitive-affective issues after pornography use, impulsivity and compulsivity were not. Although sexual dysfunction did not predict PPU severity, nearly half the sample indicated sexual dysfunction with intimate partners.ConclusionsThe present findings suggest that PPU may be characterized by tolerance and escalation (as per substance addiction models), greater sexual responsivity toward pornography, and psychological distress. Meanwhile, the high rate of partnered sexual dysfunction observed suggests that PPU might be somewhat separable from other forms of compulsive sexual behavior.
Knowledge by other means: machinic duration and anexactitude in data-driven urban drawing
Authors: Maldonado Miguel Paredes 
Published: July 2020

Half a decade past the consolidation of the first ‘digital turn’ in architecture, contemporary designers seem to have decidedly embraced the unprecedented power of machinic thinking, subsequently adopting its embedded logical processes. We may, however, pose a critical question in the context of this ‘second computational turn’ : Are there any non-computable elements of thought in the development of spatialised digital intelligence? As a partial response, this paper unpacks a series of productive relationships intersecting urban drawing and the passing of time in the context of a data-driven design environment. This enquiry looks into the processes carried out by a custom-built robotic drawing machine, tracing dynamic vector data streams collated from fieldwork developed via GPS tracking of individual urban displacements in Cagliari, Sardinia during April 2017. Its machinic drawing protocol re-enacts this continuous, heterogeneous, collectively constructed urban landscape as it slowly remaps its territorial occupation into the target surface of the paper.The hybrid digital-analogue apparatus draws from a long historical lineage of vector-based machinic systems designed for architectural drafting. Situating themselves between the human hand and the surface of the paper, those machines acted as carriers of embodied spatial knowledge that could be selectively actualised into specific design processes and materialisations. Deploying a range of intertwined digital and analogue media, this machinic environment is used to articulate a data-based urban drawing research practice and a subsequent ‘anexact’ drawing research methodology that further elaborates on the durational and multiplicitous aspects of the data-based drawings. This body of work is also reflected on as a visual research methodology, which taps into Bernard Cache's interest in architectural computation as a way to pursue philosophical knowledge ‘by other means’ and into Gilbert Simondon's notion of the ‘technical ensemble’ – emphasising the productive forms of indetermination emerging from its internal informational transfers.
Electrophysiological correlates of emotion word processing in Spanish–English bilinguals
Authors: Vélez-Uribe Idaly , Rosselli Mónica 
Published: July 2020

AbstractWe examined how proficiency influences the processing of emotion words in Spanish–English bilinguals (22 balanced and 20 unbalanced). All unbalanced bilinguals were more proficient in English than Spanish. Participants rated the valence of negative, neutral, and positive words in both languages while EEG was being recorded. ERP latencies and amplitudes were analyzed for two components. The language effect was significant on the late positive component (LPC) amplitude, which was larger for emotion than for neutral words for both groups in English. The unbalanced group presented larger LPC amplitudes for positive than for neutral and for neutral than for negative words in Spanish, suggesting emotion processing differences in these participants’ less proficient language. Valence effects were consistent across languages for the balanced group, but not for the unbalanced group, perhaps reflecting differences in reactivity to emotion words in the less proficient language.
You're invited – RSVP! The role of tailoring in incentivising people to delve into their pension situation
Authors: Dinkova Milena , Elling Sanne , Kalwij Adriaan , Lentz Leo 
Published: July 2020

AbstractThis paper used a randomised field experiment to test if tailoring an email invitation induces pension scheme participants to delve into their online personal pension situation. Action perspective and degree of urgency conveyed in the invitation were tailored based on gender and age. Overall, our empirical findings show that such tailoring had no positive effects on (1) the probability that pension scheme participants click on the weblink to access information about their pension situation and (2) the probability to log in to a tool for pension check.
Anxiety, fear, and ontological security in world politics
Authors: Kinnvall Catarina , Mitzen Jennifer 
Published: July 2020

AbstractThis symposium addresses the role of anxiety, fear, and ontological (in)security in world politics. Proceeding from the recognition of the scholarly interest and multitude of approaches that characterize the field of ontological (in)security studies, the Symposium homes in on the relationship between anxiety and fear, and between anxiety, subjectivity, and agency. The Introduction critically engages with Anthony Giddens' understandings of ontological (in)security, in an effort to spur the revisiting, questioning, and, in some cases, leaving behind Giddens' assumptions in order to develop a more dynamic conception. In response, the first three contributions draw on resources in existentialist philosophy, especially Heidegger, Tillich, and Kierkegaard, to further unpack the relationship between anxiety and ontological (in)security. They do so by returning to the experiential moment of confronting existential anxiety, a moment that Giddens quickly closes down, to better grasp how existential anxiety resolves into an orientation to action. The final two essays, in comparison, bring anxiety ‘back in’ to locales where Giddens' theory occludes it: the unconscious and the international, thus arguing that emotional configurations other than fear are always possible.
CLASSICAL COUNTERPOSSIBLES
Authors: FRENCH ROHAN , GIRARD PATRICK , RIPLEY DAVID 
Published: July 2020

AbstractWe present four classical theories of counterpossibles that combine modalities and counterfactuals. Two theories are anti-vacuist and forbid vacuously true counterfactuals, two are quasi-vacuist and allow counterfactuals to be vacuously true when their antecedent is not only impossible, but also inconceivable. The theories vary on how they restrict the interaction of modalities and counterfactuals. We provide a logical cartography with precise acceptable boundaries, illustrating to what extent nonvacuism about counterpossibles can be reconciled with classical logic.
Predicting susceptibility and resilience in an animal model of post-traumatic stress disorder (PTSD)
Authors: Colucci Paola , Marchetta Enrico , Mancini Giulia Federica , Alva Phoebe , Chiarotti Flavia , Hasan Mazahir T. , Campolongo Patrizia 
Published: July 2020

AbstractPost-traumatic stress disorder (PTSD) is a psychiatric disorder whose pathogenesis relies on a maladaptive expression of the memory for a life-threatening experience, characterized by over-consolidation, generalization, and impaired extinction, which are responsible of dramatic changes in arousal, mood, anxiety, and social behavior. Even if subjects experiencing a traumatic event during lifetime all show an acute response to the trauma, only a subset of them (susceptible) ultimately develops PTSD, meanwhile the others (resilient) fully recover after the first acute response. However, the dynamic relationships between the interacting brain circuits that might potentially link trauma-related experiences to the emergence of susceptible and resilient PTSD phenotypes in individuals is not well understood. Toward the first step to reach this goal, we have implemented our experimental PTSD model previously developed, making it suitable to differentiate between susceptible (high responders, HR) and resilient (low responders, LR) rats in terms of over-consolidation, impaired extinction, and social impairment long after trauma. Rats were exposed to five footshocks paired with social isolation. One week after trauma but before extinction, animals were tested in the Open Field and Social Interaction tasks for the identification of a predictive variable to identify susceptible and resilient animals before the possible appearance of a PTSD-like phenotype. Our findings show that exploratory activity after trauma in a novel environment is a very robust variable to predict susceptibility towards a PTSD-like phenotype. This experimental model is thus able to screen and differentiate, before extinction learning and potential therapeutic intervention, susceptible and resilient PTSD-like rats.
Elucidating the mechanisms by which disulfiram protects against obesity and metabolic syndrome
Authors: Bernier Michel , Harney Dylan , Koay Yen Chin , Diaz Antonio , Singh Abhishek , Wahl Devin , Pulpitel Tamara , Ali Ahmed , Guiterrez Vince , Mitchell Sarah J. , Kim Eun-Young , Mach John , Price Nathan L. , Aon Miguel A. , LeCouteur David G. , Cogger Victoria C. , Fernandez-Hernando Carlos , O’Sullivan John , Larance Mark , Cuervo Ana Maria , de Cabo Rafael 
Published: July 2020

AbstractThere is an unmet need and urgency to find safe and effective anti-obesity interventions. Our recent study in mice fed on obesogenic diet found that treatment with the alcohol aversive drug disulfiram reduced feeding efficiency and led to a decrease in body weight and an increase in energy expenditure. The intervention with disulfiram improved glucose tolerance and insulin sensitivity, and mitigated metabolic dysfunctions in various organs through poorly defined mechanisms. Here, integrated analysis of transcriptomic and proteomic data from mouse and rat livers unveiled comparable signatures in response to disulfiram, revealing pathways associated with lipid and energy metabolism, redox, and detoxification. In cell culture, disulfiram was found to be a potent activator of autophagy, the malfunctioning of which has negative consequences on metabolic regulation. Thus, repurposing disulfiram may represent a potent strategy to combat obesity.
Development and implementation of the SUM breast cancer cell line functional genomics knowledge base
Authors: Ethier Stephen P. , Guest Stephen T. , Garrett-Mayer Elizabeth , Armeson Kent , Wilson Robert C. , Duchinski Kathryn , Couch Daniel , Gray Joe W. , Kappler Christiana 
Published: July 2020

AbstractSeveral years ago, the SUM panel of human breast cancer cell lines was developed, and these cell lines have been distributed to hundreds of labs worldwide. Our lab and others have developed extensive omics data sets from these cells. More recently, we performed genome-scale shRNA essentiality screens on the entire SUM line panel, as well as on MCF10A cells, MCF-7 cells, and MCF-7LTED cells. These gene essentiality data sets allowed us to perform orthogonal analyses that functionalize the otherwise descriptive genomic data obtained from traditional genomics platforms. To make these omics data sets available to users of the SUM lines, and to allow users to mine these data sets, we developed the SUM Breast Cancer Cell Line Knowledge Base. This knowledge base provides information on the derivation of each cell line, provides protocols for the proper maintenance of the cells, and provides a series of data mining tools that allow rapid identification of the oncogene signatures for each line, the enrichment of KEGG pathways with screen hit and gene expression data, an analysis of protein and phospho-protein expression for the cell lines, as well as a gene search tool and a functional-druggable signature tool. Recently, we expanded our database to include genomic data for an additional 27 commonly used breast cancer cell lines. Thus, the SLKBase provides users with deep insights into the biology of human breast cancer cell lines that can be used to develop strategies for the reverse engineering of individual breast cancer cell lines.
Using statistical learning to predict interactions between single metal atoms and modified MgO(100) supports
Authors: Liu Chun-Yen , Zhang Shijia , Martinez Daniel , Li Meng , Senftle Thomas P. 
Published: July 2020

AbstractMetal/oxide interactions mediated by charge transfer influence reactivity and stability in numerous heterogeneous catalysts. In this work, we use density functional theory (DFT) and statistical learning (SL) to derive models for predicting how the adsorption strength of metal atoms on MgO(100) surfaces can be enhanced by modifications of the support. MgO(100) in its pristine form is relatively unreactive, and thus is ideal for examining ways in which its electronic interactions with metals can be enhanced, tuned, and controlled. We find that the charge transfer characteristics of MgO are readily modified either by adsorbates on the surface (e.g., H, OH, F, and NO2) or dopants in the oxide lattice (e.g., Li, Na, B, and Al). We use SL methods (i.e., LASSO, Horseshoe prior, and Dirichlet–Laplace prior) that are trained against DFT data to identify physical descriptors for predicting how the adsorption energy of metal atoms will change in response to support modification. These SL-derived feature selection tools are used to screen through more than one million candidate descriptors that are generated from simple chemical properties of the adsorbed metals, MgO, dopants, and adsorbates. Among the tested SL tools, we demonstrate that Dirichlet–Laplace prior predicts metal adsorption energies on MgO most accurately, while also identifying descriptors that are most transferable to chemically similar oxides, such as CaO, BaO, and ZnO.
Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young’s modulus
Authors: Yang Fei , Li Zhen , Wang Qing , Jiang Beibei , Yan Biaojie , Zhang Pengcheng , Xu Wei , Dong Chuang , Liaw Peter K. 
Published: July 2020

AbstractThe present work formulated a materials design approach, a cluster-formula-embedded machine learning (ML) model, to search for body-centered-cubic (BCC) β-Ti alloys with low Young’s modulus (E) in the Ti–Mo–Nb–Zr–Sn–Ta system. The characteristic parameters, including the Mo equivalence and the cluster-formula approach, are implemented into the ML to ensure the accuracy of prediction, in which the former parameter represents the BCC-β structural stability, and the latter reflects the interactions among elements expressed with a composition formula. Both auxiliary gradient-boosting regression tree and genetic algorithm methods were adopted to deal with the optimization problem in the ML model. This cluster-formula-embedded ML can not only predict alloy property in the forward design, but also design and optimize alloy compositions with desired properties in multicomponent systems efficiently and accurately. By setting different objective functions, several new β-Ti alloys with either the lowest E (E = 48 GPa) or a specific E (E = 55 and 60 GPa) were predicted by ML and then validated by a series of experiments, including the microstructural characterization and mechanical measurements. It could be found that the experimentally obtained E of predicted alloys by ML could reach the desired objective E, which indicates that the cluster-formula-embedded ML model can make the prediction and optimization of composition and property more accurate, effective, and controllable.
Exon-focused targeted oligonucleotide microarray design increases detection of clinically relevant variants across multiple NHS genomic centres
Authors: Jezkova Jana , Heath Jade , Williams Angharad , Barrell Deborah , Norton Jessica , Collinson Morag N. , Beal Sarah J. , Corrin Sian , Morgan Sian 
Published: July 2020

AbstractIn recent years, chromosomal microarrays have been widely adopted by clinical diagnostic laboratories for postnatal constitutional genome analysis and have been recommended as the first-line test for patients with intellectual disability, developmental delay, autism and/or congenital abnormalities. Traditionally, array platforms have been designed with probes evenly spaced throughout the genome and increased probe density in regions associated with specific disorders with a resolution at the level of whole genes or multiple exons. However, this level of resolution often cannot detect pathogenic intragenic deletions or duplications, which represent a significant disease-causing mechanism. Therefore, new high-resolution oligonucleotide comparative genomic hybridisation arrays (oligo-array CGH) have been developed with probes targeting single exons of disease relevant genes. Here we present a retrospective study on 27,756 patient samples from a consortium of state-funded diagnostic UK genomic centres assayed by either oligo-array CGH of a traditional design (Cytosure ISCA v2) or by an oligo-array CGH with enhanced exon-level coverage of genes associated with developmental disorders (CytoSure Constitutional v3). The new targeted design used in Cytosure v3 array has been designed to capture intragenic aberrations that would have been missed on the v2 array. To assess the relative performance of the two array designs, data on a subset of samples (n = 19,675), generated only by laboratories using both array designs, were compared. Our results demonstrate that the new high-density exon-focused targeted array design that uses updated information from large scale genomic studies is a powerful tool for detection of intragenic deletions and duplications that leads to a significant improvement in diagnostic yield.
Biological system energy algorithm reflected in sub-system joint work distribution movement strategies: influence of strength and eccentric loading
Authors: McBride Jeffrey M. , Nimphius Sophia 
Published: July 2020

AbstractTo better understand and define energy algorithms during physical activity as it relates to strength and movement strategy of the hip, knee and ankle, a model of increasing eccentric load was implemented in the current investigation utilizing a countermovement jump and a series of drop jumps from different heights (15, 30, 45, 60, 75 cm). Twenty-one participants were grouped by sex (men, n = 9; women, n = 12) and muscle strength (higher strength, n = 7; moderate strength, n = 7; lower strength, n = 7) as determined by a maximal squat test. Force plates and 3D motion capture were utilized to calculate work for the center of mass (COM) of the whole body and individually for the hip, knee and ankle joints. Statistically significant lower net work of the COM was observed in women and lower strength participants in comparison to men and moderate strength and higher strength participants respectively (p ≤ 0.05). This was primarily due to higher negative to positive work ratios of the COM in women and lower strength participants during all jumps. Furthermore, the COM negative work was primarily dissipated at the knee joint in women and in the lower strength group, particularly during the higher drop jump trials, which are representative of a demanding eccentric load task. A definitive energy algorithm was observed as a reflection of altering joint work strategy in women and lower strength individuals, indicating a possible role in knee joint injury and modulation of such by altering muscular strength.
Sheep feeding preference as a tool to control pine invasion in Patagonia: influence of foliar toughness, terpenoids and resin content
Authors: Zamora-Nasca Lucía B. , Dimarco Romina D. , Nassini Daniela , Alvear Pablo A. , Mayoral Ariel , Nuñez Martin A. , Relva M. Andrea 
Published: July 2020

AbstractHerbivores modulate the structure and composition of plant communities, including plant invasions. This is conditioned by plant palatability which can be reduced by its chemical or physical traits. The effects that ungulates browsing has on pine invasions are variable and the empirical evidence on the causes of this variability is scarce. We experimentally explored how sheep browsing preference varies between seedlings of pine species with different invasiveness; Pinus contorta (high invasiveness), P. ponderosa (medium invasiveness), P. radiata (medium invasiveness) and P. jeffreyi (low invasiveness). Secondly, we quantified anti-herbivory chemical compounds and physical traits of these species and related them with sheep preference observed. The browsing incidence of P. contorta was 68%, P. ponderosa 58%, P. radiata 29%, and P. jeffreyi 84%. Among anti-herbivory traits analyzed, α-pinene concentration had a negative effect on the probability of a terminal bud being browsed and on browsing intensity. Meanwhile, foliar toughness was negatively related to browsing intensity and water concentration was positively related to browsing intensity. Also, the most invasive species, P. contorta, was highly damaged. Thus, sheep herbivory could be slowing pine invasion rate; suggesting that could be considered a tool to control early invasions, especially for this particular species.
Accommodation is unrelated to myopia progression in Chinese myopic children
Authors: Chen Yunyun , Drobe Björn , Zhang Chuanchuan , Singh Nisha , Spiegel Daniel P. , Chen Hao , Bao Jinhua , Lu Fan 
Published: July 2020

AbstractThis study shows accommodative accuracy and distance accommodation facility in myopic children do not play a role in myopia progression. In 144 subjects, the monocular distance accommodative facility (DAF) and continuous accommodative stimulus–response curves (ASRCs) were measured at the enrolment. Retrospective and prospective refraction with regard to the enrolment visit were obtained from the outpatient database system based on noncycloplegic subjective spherical equivalent refraction (SER). The rate of myopic progression at enrolment was the first derivative of the Gompertz function, which was fitted with each subject's longitudinal refractive error data, including at least four records of SER with an interval of more than 6 months between each visit. A mixed linear model for multilevel repeated-measures data was used to explore the associations between the rate of myopia progression and accommodative parameters. The mean rate of myopia progression at enrolment was -0.61 ± 0.31 D/y with a mean age of 12.27 ± 1.61 years. By adjusting for age and SER, it was shown that the myopic progression rate was not associated with the accommodative lag (F = 0.269, P = 0.604), accommodative lag area (F = 0.086, P = 0.354), slope of ASRC (F = 0.711, P = 0.399), and DAF (F = 0.619, P = 0.432).