bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeted Delivery of Cell Softening Micelles to Schlemm's Canal Endothelial Cells for Treatment of Glaucoma
Authors: Stack Trevor , Vincent Michael , Vahabikashi Amir , Li Guorong , Perkumas Kristin M. , Stamer W. Daniel , Johnson Mark , Scott Evan 
Published: October 2020

AbstractIncreased stiffness of the Schlemm's canal (SC) endothelium in the aqueous humor outflow pathways has been associated with elevated intraocular pressure (IOP) in glaucoma. Novel treatments that relax this endothelium, such as actin depolymerizers and rho kinase inhibitors, are in development. Unfortunately, these treatments have undesirable off‐target effects and a lower than desired potency. To address these issues, a targeted PEG‐b‐PPS micelle loaded with actin depolymerizer latrunculin A (tLatA‐MC) is developed. Targeting of SC cells is achieved by modifying the micelle surface with a high affinity peptide that binds the VEGFR3/FLT4 receptor, a lymphatic lineage marker found to be highly expressed by SC cells relative to other ocular cells. During in vitro optimization, increasing the peptide surface density increased micellar uptake in SC cells while unexpectedly decreasing uptake by human umbilical vein endothelial cells (HUVEC). The functional efficacy of tLatA‐MC, as measured by decreased SC cell stiffness compared to non‐targeted micelles (ntLatA‐MC) or targeted blank micelles (tBL‐MC), is verified using atomic force microscopy. tLatA‐MC reduced IOP in an in vivo mouse model by 30–50%. The results validate the use of a cell‐softening nanotherapy to selectively modulate stiffness of SC cells for therapeutic reduction of IOP and treatment of glaucoma.
The effects of medical malpractice tort reform on physician supply an analysis of legislative changes from 2009 to 2016
Authors: Baum Charles L. 
Published: October 2020

AbstractAdvocates of tort reform blame medical malpractice lawsuits for rising healthcare costs, prompting politicians in some states to pass tort reform capping noneconomic damages. In this analysis, I examine the effects of caps on noneconomic damages between 2009 and 2016 on the supply of physicians. I use multiple model specifications, examine physicians in high‐risk specialties, young physicians, and physicians in state‐border counties, and explore the potential for asymmetric effects using instances where tort reform has been declared unconstitutional and removed. I find few statistically significant effects. Supplemental analyses show that this may be because the noneconomic damage caps do not significantly affect malpractice insurance premiums, payouts, or claims in the first place.
Functional test generation from UI test scenarios using reinforcement learning for android applications
Authors: Koroglu Yavuz , Sen Alper 
Published: October 2020

SummaryWith the ever‐growing Android graphical user interface (GUI) application market, there have been many studies on automated test generation for Android GUI applications. These studies successfully demonstrate how to detect fatal exceptions and achieve high coverage with fully automated test generation engines. However, it is unclear how many GUI functions these engines manage to test. The current best practice for the functional testing of Android GUI applications is to design user interface (UI) test scenarios with a non‐technical and human‐readable language such as Gherkin and implement Java/Kotlin methods for every statement of all the UI test scenarios. Writing tests for UI test scenarios is hard, especially when some scenario statements are high‐level and declarative, so it is not clear what actions should the generated test perform. We propose the Fully Automated Reinforcement LEArning‐Driven specification‐based test generator for Android (FARLEAD‐Android). FARLEAD‐Android first translates the UI test scenario to a GUI‐level formal specification as a linear‐time temporal logic (LTL) formula. The LTL formula guides the test generation and acts as a specified test oracle. By dynamically executing the application under test (AUT), and monitoring the LTL formula, FARLEAD‐Android learns how to produce a witness for the UI test scenario, using reinforcement learning (RL). Our evaluation shows that FARLEAD‐Android is more effective and achieves higher performance in generating tests for UI test scenarios than three known engines: Random, Monkey and QBEa. To the best of our knowledge, FARLEAD‐Android is the first fully automated mobile GUI testing engine that uses formal specifications.
Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure
Authors: Turnbull Alan , Carroll James , McDonald Alasdair 
Published: October 2020

AbstractReducing downtime through predictive or condition‐based maintenance is a promising strategy to help reduce costs associated with wind farm operation and maintenance. To help effectively monitor wind turbine condition, operators now rely on multiply sources of data to make informed operational decisions which can minimise downtime, increasing availability and profitability of any given site. Two of such approaches are SCADA temperature and vibration monitoring, which are typically performed in isolation and compared over time for both fault diagnostics and reliability analysis. Presenting two separate case studies, this paper describes a methodology to bring multiple data sources together to diagnose faults by using a single‐class support vector machine classifier to assess normal behaviour model error, with results showing that anomalies can be detected more consistently when compared to more standard approaches of analysing each data source in isolation.
Male, National, and Religious Collective Narcissism Predict Sexism
Authors: de Zavala Agnieszka Golec , Bierwiaczonek Kinga 
Published: October 2020

AbstractResults of three cross-sectional studies indicate that sexism in Poland is associated with collective narcissism—a belief that one’s own group’s (the in-group’s) exaggerated exceptionality is not sufficiently recognized by others—with reference to three social identities: male, religious, and national. In Study 1 (n = 329), male collective narcissism was associated with sexism. This relationship was sequentially mediated by precarious manhood and traditional gender beliefs. In Study 2 (n = 877), Catholic collective narcissism predicted tolerance of violence against women (among men and women) over and above religious fundamentalism and in contrast to intrinsic religiosity. In Study 3 (n = 1070), national collective narcissism was associated with hostile sexism among men and women and with benevolent sexism more strongly among women than among men. In contrast, national in-group satisfaction—a belief that the nation is of a high value—predicted rejection of benevolent and hostile sexism among women but was positively associated with hostile and benevolent sexism among men. Among men and women collective narcissism was associated with tolerance of domestic violence against women, whereas national in-group satisfaction was associated with rejection of violence against women.
Explaining human altruism
Authors: Vlerick Michael 
Published: October 2020

AbstractHumans often behave altruistically towards strangers with no chance of reciprocation. From an evolutionary perspective, this is puzzling. The evolution of altruistic cooperative behavior—in which an organism’s action reduces its fitness and increases the fitness of another organism (e.g. by sharing food)—only makes sense when it is directed at genetically related organisms (kin selection) or when one can expect the favor to be returned (reciprocal altruism). Therefore, evolutionary theorists such as Sober and Wilson have argued that we should revise Neo-Darwininian evolutionary theory. They argue that human altruism evolved through group selection in which groups of altruists were naturally selected because they had a comparative advantage over other groups. Wilson and Sober’s hypothesis attracted followers but is rejected by most of their peers. The heated debate between advocates and critics of group selection often suffers from a lack of conceptual clarity. In response, I set out to clearly distinguish ‘genetic’ from ‘cultural’ group selection (developed by Boyd, Richerson & Henrich) and argue that the latter does not face the potentially debilitating problems plaguing the former. I defend the claim that human altruistic dispositions evolved through cultural group selection and gene-culture coevolution and offer empirical evidence in support. I also argue that actual altruistic behavior often goes beyond the kind of behavior humans have evolved to display. Conscious and voluntary reasoning processes, I show, have an important role in altruistic behavior. This is often overlooked in the scientific literature on human altruism.
Responsible AI and moral responsibility: a common appreciation
Authors: Tigard Daniel W. 
Published: October 2020

AbstractResponsibility is among the most widespread buzzwords in the ethics of artificial intelligence (AI) and robotics. Yet, the term often remains unsubstantiated when employed in these important technological domains. Indeed, notions like ‘responsible AI’ and ‘responsible robotics’ may sound appealing, for they seem to convey a sense of moral goodness or ethical approval, thereby inciting psychological connections to self-regulation, social acceptance, or political correctness. For AI and ethics to come together in truly harmonious ways, we will need to work toward establishing a common appreciation. In this commentary, I breakdown three varieties of the term and invoke insights from the analytic ethics literature as a means of offering a robust understanding of moral responsibility in emerging technology. While I do not wish to accuse any parties of incorrect usage, my hope is that together researchers in AI and ethics can be better positioned to appreciate and to develop notions of responsibility for technological domains.
Explainable deep convolutional learning for intuitive model development by non–machine learning domain experts
Authors: Singaravel Sundaravelpandian , Suykens Johan , Janssen Hans , Geyer Philipp 
Published: October 2020

Abstract
During the design stage, quick and accurate predictions are required for effective design decisions. Model developers prefer simple interpretable models for high computation speed. Given that deep learning (DL) has high computational speed and accuracy, it will be beneficial if these models are explainable. Furthermore, current DL development tools simplify the model development process. The article proposes a method to make the learning of the DL model explainable to enable non–machine learning (ML) experts to infer on model generalization and reusability. The proposed method utilizes dimensionality reduction (t-Distribution Stochastic Neighbour Embedding) and mutual information (MI). Results indicate that the convolutional layers capture design-related interpretations, and the fully connected layer captures performance-related interpretations. Furthermore, the global geometric structure within a model that generalized well and poorly is similar. The key difference indicating poor generalization is smoothness in the low-dimensional embedding. MI enables quantifying the reason for good and poor generalization. Such interpretation adds more information on model behaviour to a non-ML expert.
Greater than 2 kW all-passive fiber Raman amplifier with good beam quality
Authors: Chen Yizhu , Yao Tianfu , Xiao Hu , Leng Jinyong , Zhou Pu 
Published: October 2020

Abstract
We report a 2 kW all-fiberized Raman fiber amplifier with efficient brightness enhancement based on the graded-index fiber. The maximum power output reaches up to 2.034 kW centered at 1130 nm, with a conversion efficiency of 79.35% with respect to the injected pump power. To the best of our knowledge, this is the highest conversion efficiency obtained for any Raman laser system using graded-index fiber. An optimized fiber combiner adopting graded-index fiber as the pigtail fiber was fabricated, enabling the preservation of the seeding brightness in the core-pumped Raman fiber amplifier, and further enhancing the ultimate brightness of the output laser after amplification. At the maximum power output, the beam quality parameter M2 is 2.8, corresponding to a signal-to-pump brightness enhancement factor of 11.2. As far as we know, we obtain the highest brightness enhancement among Raman fiber lasers of over 100 W, and the best beam quality for graded-index Raman fiber lasers of over 150 W.
Historians as Activists: History Writing in Times of War. The Case of Ukraine in 2014–2018
Authors: Yurchuk Yuliya 
Published: October 2020

AbstractThis article elucidates the role of historians in times of war and the peculiarities of popular history narratives written by historians who became activists. The article focuses on historians who call themselves “Likbez. Historical Front.” This cohort gave rise to a new professional species—activist historians—who are different from so called memorians or propagandists, who work in service of authorities. Likbez historians tried to use their power to influence and promote their activist agenda not only in the realm of memory and history but also in reformation of state institutions. I argue that for Likbez historians, securitization of the past is the main strategy employed for producing historical knowledge. Historians’ work is a part of postcolonizing process observed in Ukrainian society since the Maidan protests. As the analysis shows, popular history narratives written with an open activist agenda are a result of many compromises made by scholars in the intersection of several factors: professional ambitions, political and civic aims, social and political context, popular expectations, and market environment. In line with the increased attention to agency in memory studies, this article demonstrates that historians have a much more nuanced relation to power than straightforward opposition or co-option.
Chronic suppurative otitis media in Zimbabwean school children: a cross-sectional study
Authors: Pedersen C K , Zimani P , Frendø M , Spindler N J , Chidziva C , von Buchwald C , Jensen R G 
Published: October 2020

AbstractObjectiveChronic suppurative otitis media is a major cause of disabling childhood hearing loss, especially in low-income countries. Estimates on its prevalence in sub-Saharan Africa range from the lowest to the highest in the world (less than one per cent to more than five per cent). However, the prevalence of chronic suppurative otitis media in Zimbabwe is largely unknown. This study aimed to determine the prevalence of paediatric chronic suppurative otitis media and other middle-ear pathology in rural Zimbabwe.MethodA cross-sectional study was performed in primary school children aged 4–13 years from the rural province of Mashonaland East. Participants underwent video otoscopy and tympanometry.ResultsOut of 451 examined children, two (0.4 per cent) had chronic suppurative otitis media. Acute otitis media was present in one (0.2 per cent), otitis media with effusion was present in five (1.1 per cent) and scarring was present in 69 (15.3 per cent).ConclusionChronic suppurative otitis media and otitis media sequelae were surprisingly uncommon in this sample of rural primary school children in Zimbabwe. More studies, preferably population-based, are needed to enable more precise estimates of chronic suppurative otitis media prevalence in Zimbabwe.
Platelet function testing in patients with post-operative tonsillectomy bleeding may be a useful early identifier of inherited platelet function disorders
Authors: James T W , Thomson B J , Naumann D N , Stevenson D S 
Published: October 2020

AbstractBackgroundPost-tonsillectomy bleeding is the most frequent complication of tonsillectomy. Inherited platelet function disorders have an estimated prevalence of 1 per cent. Any association between post-tonsillectomy bleeds and undiagnosed inherited platelet function disorders has not been investigated before.ObjectivesTo assess the prevalence of inherited platelet function disorders in a cohort of post-tonsillectomy bleed patients.MethodsAn observational cohort study was conducted using hospital digital records. Platelet function analyser 100 (‘PFA-100’) closure time was tested on post-tonsillectomy bleed patients who presented to hospital.ResultsBetween 2013 and 2017, 9 of 91 post-tonsillectomy bleed patients who underwent platelet function analyser 100 testing (9.89 per cent) had positive results. Five patients (5.49 per cent) had undiagnosed inherited platelet function disorders. Four patients had false positive results secondary to a non-steroidal anti-inflammatory drug effect (specificity of 95.3 per cent) proven by repeat testing six weeks later, off medication. The false negative rate was 0 per cent.ConclusionThe prevalence of inherited platelet function disorders in our post-tonsillectomy bleed cohort is five-fold higher than in the general population. Platelet function analyser 100 testing when patients present with a post-tonsillectomy bleed allows management of their inherited platelet function disorder.
Domain-general auditory processing determines success in second language pronunciation learning in adulthood: A longitudinal study
Authors: Saito Kazuya , Sun Hui , Tierney Adam 
Published: October 2020

AbstractIn this study, we propose a hypothesis that domain-general auditory processing, a perceptual–cognitive anchor of first language (L1) acquisition, can serve as an important deciding factor for successful postpubertal second language (L2) pronunciation learning. To examine this hypothesis, samples of spontaneous speech were elicited from a total of 30 L1 Chinese L2 English learners at two points (outset and endpoint) during an 8-month study-abroad period in the United Kingdom. The participants were tested on three different components of auditory processing ability (formant, pitch, and duration discrimination) using behavioral instruments. The auditory processing scores were then linked to the segmental, prosodic, and fluency dimensions of their L2 pronunciation proficiency development throughout the project. Overall, most learners’ speech became smoother, faster, and more fluent (fewer pauses, faster articulation rate, and more optimal perceived tempo). Certain learners with high-level auditory processing ability (more precise formant discrimination) appeared to further attain more correct pronunciation of individual sounds and words (greater segmental and word stress accuracy), leading to more advanced L2 phonological skills (fluentandaccurate). The findings suggest that auditory processing abilities can be a root of language learning throughout the life span and may apply to the initial- to midphase of naturalistic L2 pronunciation learning in adulthood.
Distribution of Nominal Word-Patterns and Roots in Palestinian Arabic: A Developmental Perspective in Early Childhood
Authors: SHALHOUB-AWWAD Yasmin , KHAMIS-JUBRAN Maram 
Published: October 2020

AbstractThis study investigated the acquisition of word-patterns and roots in the nominal system of the spoken language of Palestinian Arabic (PA) and its distance from Standard Arabic (StA). It described, analyzed, and quantified the nominal system (roots and word-patterns) as reflected in the language corpus of Palestinian-Arab kindergarteners 3 to 6 years old. The results showed that non-linear derived nouns (deverbal nouns) are the most frequently used category (49.5%). Primitive nouns comprise 43.1% of the nouns, whereas linear derived nouns barely exist before children start school (0.3%). Additionally, the results showed that half of the nouns were built from common word-patterns and roots between PA and StA, whereas 30% of the nouns were constructed from different word-patterns with common roots. Although PA and StA have much in common morphologically, there exists a significant degree of divergence.
Conservation and Heritage As Creative Processes of Future-Making
Authors: Holtorf Cornelius 
Published: October 2020

AbstractAccording to the logic of the conservation ethics, the heritage sector has the duty to conserve cultural heritage because it has inherent value and constitutes a non-renewable resource that once destroyed cannot be substituted and, therefore, must be preserved for the benefit of future generations. In this article, I argue, however, that the cultural heritage of the past is not a comprehensive legacy that theoretically, at any point, might have been considered complete but, rather, that it can be understood as frequently updated manifestations of changing perceptions of the past over time. The most important question for conservation and heritage management, thus, is not how much heritage of any one period may or may not survive intact into the future but, instead, which heritage, as our legacy to the generations to come, will benefit future societies the most. In particular, I am calling for more research into the possible significance of heritage in addressing some of the social consequences of climate change.
Notes on Authenticity and Development of Cultural Heritage in Syria
Authors: Soufan Anas 
Published: October 2020

AbstractAccording to the Syrian philosopher T. Tizini (1934–2019), the dilemma of authenticity heritage in the Arab world has lost its factual conceptualization. While its societal and ideological issues have been rightly discussed, its technical aspects have been handled only superficially. In this article, I review the deep interconnectivities between the societal and technical aspects of the term “authenticity” and the reconstruction of the damaged architectural heritage in Syria after years of a devastating war. I suggest that any postwar reconstruction raises a central contradiction: rebuilding an element from the past in the present. While the destroyed physical fabrics might be reconstituted, the setting that gave them value and meaning can never be reestablished. For that reason, preserving the “authenticity” in the wide significance of the term seems unrealistic in the context of reconstructed heritage. Nevertheless, what several Syrian scholars and politicians describe as “authenticity by creativity” might be a possible outcome.
Lunar Surface Temperature and Emissivity Retrieval From Diviner Lunar Radiometer Experiment Sensor
Authors: Ren Huazhong , Nie Jing , Dong Jiaji , Liu Rongyuan , Fa Wenzhe , Hu Ling , Fan Wenjie 
Published: October 2020

AbstractThe lunar surface temperature (LST) derived from thermal infrared (TIR) measurements can aid in understanding the physical properties of the lunar surface. The Diviner Lunar Radiometer Experiment (herein, Diviner) sensor provides global lunar surface observation in seven TIR channels. However, its retrieval of LST constantly uses a single emissivity value (i.e., 0.95) by ignoring the spatial variation of lunar surface, thereby reducing the accuracy of temperature and day–night temperature difference. To overcome this problem, this study developed a physical method called temperature–emissivity separation (TES) algorithm to retrieve LST and lunar surface emissivity from the daytime observation in three Christiansen Feature (CF) channels (7.55–8.05, 8.10–8.40, and 8.38–8.60 μm) of the Diviner, and then used the emissivity from daytime observation to inverse LST at nighttime observation. Findings showed that the TES algorithm could retrieve LST and emissivity with an error of less than 0.8 K and 0.008, respectively. However, observation noise significantly affected the retrieval accuracy, particularly for the low‐temperature pixels; moreover, high retrieval accuracy requires a surface temperature higher than 240 K. The new algorithm was applied to obtain the daytime and nighttime LST and emissivity from the Diviner images. Results showed that the LST retrieved from the algorithm differed approximately 3.9 K from that calculated from a single emissivity 0.95. Finally, an example of global surface temperature and emissivity were obtained. Consequently, the CF pixels were found to distribute in the latitude range from −60° to 60°; however, they did not have a large distribution in high‐latitude and near‐polar regions.