Frequency as a Barrier to Learning Complex Nominal Morphology

Most languages with highly structed morphological systems show some degree of syncretism, where the same affix is used for multiple categories. The typology of syncretism has suggested that syncretism is most likely to occur for structurally and semantically marked categories. In two artificial grammar learning experiments, English-speaking adults were exposed to a 3-gender x 3-number nominal system, where one number category (Singular, Dual, or Plural) showed syncretism across gender. In the experiment, the frequency of the syncretic morpheme was equal to non-syncretic morphemes, but there were 3x fewer items containing the syncretic morpheme. Participants failed to learn the syncretic morpheme, with no biases for marked categories. These results suggest that low frequency of syncretic items significantly impairs learning syncretic categories. Suggestions for design

BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS

Lipidomics increasingly describes the quantification using mass spectrometry of all lipids present in a biological sample. As the power of lipidomics protocols increase, thousands of lipid molecular species from multiple categories can now be profiled in a single experiment. Observed changes due to biological differences often encompass large numbers of structurally-related lipids, with these being regulated by enzymes from well-known metabolic pathways. As lipidomics datasets increase in complexity, the interpretation of their results becomes more challenging. BioPAN addresses this by enabling the researcher to visualise quantitative lipidomics data in the context of known biosynthetic pathways. BioPAN provides a list of genes, which could be involved in the activation or suppression of enzymes catalysing lipid metabolism in mammalian tissues.

Challenges in evaluating efficacy of scientific visualization for usability and aesthetics

This paper presents the results of a study to evaluate the efficacy of scientific visualization for multiple categories of users, including both domain experts as well as users from the general public. Efficacy was evaluated for understanding, usability, and aesthetic value. Results indicate that aesthetics play a critical, but complex role in enhancing both user understanding and usability.

Multiple categories of polycyclic aromatic hydrocarbons in atmospheric PM2.5 associated with changes in lipid profiles: a longitudinal study in Beijing

Background Lipid disorder has been demonstrated as important biomarkers for many chronic diseases, while PM2.5 is becoming an emerging risk factor to altered lipid profiles. However, few studies have paid attention to the changes of comprehensive lipid indices caused by PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) exposure, especially among older adults population. We aimed to investigate whether PM2.5-bound PAHs were associated with the changes of lipid profiles, and whether this association could differ among multiple categories of PAHs. Methods A longitudinal study including 98 adults was conducted in Beijing, China, from November 2016 to January 2018. Multiple categories of PAHs were classified into low-molecular-weight PAHs (LMW-PAHs), high-molecular-weight PAHs (HMW-PAHs), carcinogenic PAHs (c-PAHs) and non-carcinogenic PAHs (nc-PAHs) based on their molecular weight and carcinogenicity potential. Linear mixed-effects models were used to explore the association between multiple categories of PAHs and lipid profiles, including single-pollutant model, two-pollutant model, and constituent-residual model. Results We found that high-density lipoprotein cholesterol (HDL-C) levels were significantly decreased by 1.00% (95%CI, -1.98 to -0.30%) to 9.52% (95%CI, -13.93 to -4.88%) in association with a 10 ng/m3 increase in moving averages of the multiple categories of PAHs. We also found significant increases in total cholesterol (TG), castelli risk indexes I and II (CRI-I and II), and atherogenic coefficient (AC) by 4.08% (95% CI, 0.10 to 7.25%) to 40.49% (95% CI, 13.88 to 73.33%) were associated with a 10 ng/m3 increase of multiple categories of PAHs. Conclusion Multiple categories of PAHs were significantly associated with altered lipid profiles. Although some PAHs are not carcinogenic, they may cause dyslipidemia, which in turn affects chronic diseases.

Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems

Tornado damage estimation is important for providing insights into tornado studies and assisting rapid disaster response. However, it is challenging to precisely estimate tornado damage because of the large volumes of perishable data. This study presents data-driven approaches to tornado damage estimation using imagery collected from Unpiloted Aerial Systems (UASs) following the 26 June 2018 Eureka Kansas tornado. High-resolution orthomosaics were generated from Structure from Motion (SfM). We applied deep neural networks (DNNs) on the orthomosaics to estimate tornado damage and assessed their performance in four scenarios: (1) object detection with binary categories, (2) object detection with multiple categories, (3) image classification with binary categories, and (4) image classification with multiple categories. Additionally, two types of tornado damage heatmaps were generated. By directly stitching the resulting image tiles from the DNN inference, we produced the first type of tornado damage heatmaps where damage estimates are accurately georeferenced. We also presented a Gaussian process (GP) regression model to build the second type of tornado damage heatmap (a spatially continuous tornado damage heatmap) by merging the first type of object detection and image classification heatmaps. The GP regression results were assessed with ground-truth annotations and National Weather Service (NWS) ground surveys. This detailed information can help NWS Weather Forecast Offices and emergency managers with their damage assessments and better inform disaster response and recovery.

Making Sweet Music Together: The Affordances of Networked Media for Building Performance Capital by YouTube Musicians

Following Miller, who looked at offline performance capital for musicians and discovered important gender and genre impacts, we examined the role of gender and genre in the development of performance capital for YouTube top cover song artists. This case study suggests that online performance capital on YouTube is slightly different than offline performance capital, and benefits from the affordances of networked media, and specifically YouTube. While there is some gender-based homophily in channel linking behaviors, there are also connections between weakly tied individuals with respect to video category, meaning that musicians are linking to others outside of the music community and vice versa. While music video channels tend to link to other music video channels, and non-music channels tend to link to other non-music channels, the most popular videos tend to post from multiple categories including both music and non-music. Findings suggest that being a long-time poster and having a rich and diverse network are likely elements of building performance capital for YouTube musicians.

Exploring the factors of excessive smartphone use by undergraduate students

There is an exponential increase of apprehension in the uptake, affordances and the excessive use of smartphones by multiple categories of users and the impact on the society. The research evaluates excessive use within a user community in a developing country landscape. It is estimated that many young people spend too much time on their phones and the projections suggest even higher numbers with disturbing estimations. The unravelling of contexts surrounding the excessive use of digital devices such as smartphones and the elements that lead to it are mostly unexplored. Consequently, the study illuminated the fundamental mechanisms that influence excessive use of smartphones by learners using perspectives from the Incentive-sensitization Theory (IST) to add scope and breadth. A total of 110 undergraduate students participated in the study. The fundamental results showed that the increase in the volume of activities such as online games, virtual world games and social media was responsible for excessive use. The findings provided an understanding of the relationship between depression-like behaviour and anxiety and shed new light on the influence of excessive use, smartphone stress and depression-related symptoms on students. The study outlined the implications of the results for prevention and regulation.

Category Evolution Under Conditions of Stigma: The Segregation of Abortion Provision into Specialist Clinics in the United States

Organizational involvement in stigmatized practices, that is, practices that attract substantial societal condemnation, is often challenging, inasmuch as it requires the successful management of stakeholder disapproval. In this regard, existing work on organizational stigma has highlighted the advantages of situating stigmatized practices within large, generalist organizations, because doing so allows for stigma dilution—that is, organizations can reduce stakeholder disapproval by increasing their relative engagement in uncontested practices, thereby straddling multiple categories in the eyes of audiences. This line of argument, however, runs counter to the empirical observation that stigmatized practices often remain overwhelmingly concentrated within smaller, specialist organizations, even though these are often not optimally positioned to cope with stigma. In this paper, therefore, we undertake an in-depth historical analysis of a revelatory case—abortion provision in the United States following the landmark Roe v. Wade U.S. Supreme Court decision—to build theory of how stigmatized categories can come to be populated predominantly by specialists. Building on primary and secondary archival materials, we identify three mechanisms that shaped category evolution and resulted in the de facto segregation of abortion into specialist organizations: the founding of freestanding facilities by values-driven providers, the exit of generalist organizations from the category, and the involuntary specialization of remaining providers, as customers no longer frequented them for other services and they soon became labeled simply as “abortion clinics.” We conclude by discussing the implications of our findings for the stigma literature and the generalizability of our theorizing to other settings.

Category Evolution under Conditions of Stigma: The Segregation of Abortion Provision into Specialist Clinics in the United States

Organizational involvement in stigmatized practices, i.e. practices that attract substantial societal condemnation, is often challenging, inasmuch as it requires the successful management of stakeholder disapproval. In this regard, existing work on organizational stigma has highlighted the advantages of situating stigmatized practices within large, generalist organizations, because doing so allows for stigma dilution—that is, organizations can reduce stakeholder disapproval by increasing their relative engagement in uncontested practices, thereby straddling multiple categories in the eyes of audiences. This line of argument, however, runs counter to the empirical observation that stigmatized practices often remain overwhelmingly concentrated into smaller, specialist organizations, even though these are often not optimally positioned to cope with stigma. In this paper, therefore, we undertake an in-depth historical analysis of a revelatory case—abortion provision in the United States following the landmark Roe v. Wade U.S. Supreme Court decision to build theory of how stigmatized categories can come to be populated predominantly by specialists. Building on primary and secondary archival materials, we identify three mechanisms that shaped category evolution and resulted in the de facto segregation of abortion into specialist organizations: the founding of free-standing facilities by values-driven providers, the exit of generalist organizations from the category, and the involuntary specialization of remaining providers, as customers no longer frequented them for other services and they soon became labeled simply as “abortion clinics.” We conclude by discussing the implications of our findings for the stigma literature and the generalizability of our theorizing to other settings.