bluuebunny/crossref_metadata_2025_split huggingface dataset:
A synergetic strategy based on laser surface texturing and lubricating grease for improving the tribological and electrical properties of Ag coating under current-carrying friction
Authors: Cao Zhengfeng , Xia Yanqiu , Chen Chuan , Zheng Kai , Zhang Yi 
Published: August 2020

AbstractHerein, a series of Ag coatings with different micro-dimples were fabricated on copper surfaces by laser surface texturing (LST) and magnetron sputtering. Multilayer graphene lubricating grease (MGLG) was prepared using multilayer graphene as an additive. The textured Ag coatings and MGLG were characterized. Moreover, the tribological and electrical performances of the textured Ag coatings under MGLG lubrication were investigated in detail. Results demonstrated that the textured Ag coating with an appropriate dimple diameter could exhibit improved tribological and electrical properties when compared to the non-textured Ag coating under MGLG lubrication. The characterization and analysis of the worn surfaces suggest that the synergetic effect of LST and MGLG contributes to these excellent tribological and electrical properties.
Recent Developments in Small-Scale Shape Memory Oxides
Authors: Wang Xiao , Ludwig Alfred 
Published: August 2020

AbstractThis review presents an overview of the developments in small-scale shape memory materials: from alloys to oxides and ceramics. Shape memory oxides such as zirconia, different ferroelectric perovskites and VO2-based materials have favorable characteristics of high strength, high operating temperature and chemical resistance, which make this class of shape memory materials interesting for special applications, e.g., in harsh environments or at the nanoscale. Because of the constraint and mismatch stress from neighboring grains in polycrystalline/bulk oxides, the transformation strain of shape memory oxides is relatively small, and micro-cracks can appear after some cycles. However, recent progress in shape memory oxide research related to small-scale approaches such as decreasing the amounts of grain boundaries, strain-engineering, and application in the form of nanoscale thin films shows that some oxides are capable to exhibit excellent shape memory effects and superelasticity at nano/micro-scales. The materials systems ZrO2, BiFO3, and VO2 are discussed with respect to their shape memory performance in bulk and small-scale.
Identifying and exploiting homogeneous communities in labeled networks
Authors: Citraro Salvatore , Rossetti Giulio 
Published: August 2020

AbstractAttribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a challenging task presenting Eva, an algorithmic approach designed to maximize a quality function tailoring both structural and homophilic clustering criteria. We evaluate Eva on several real-world labeled networks carrying both nominal and ordinal information, and we compare our approach to other classic and attribute-aware algorithms. Our results suggest that Eva is the only method, among the compared ones, able to discover homogeneous clusters without considerably degrading partition modularity.We also investigate two well-defined applicative scenarios to characterize better Eva: i) the clustering of a mental lexicon, i.e., a linguistic network modeling human semantic memory, and (ii) the node label prediction task, namely the problem of inferring the missing label of a node.
Rheumatoid Arthritis, Depression, and the Role of Celecoxib
Authors: Al-Baz Nadeen , Karim Mustafa Abdul 
Published: August 2020

AbstractRheumatoid arthritis (RA) is a chronic autoimmune disease, causing joint destruction and associated physical, mental, and financial distress. Depression is not uncommonly found in patients with RA as both disorders share sociodemographic, functional, and biologic factors. There is growing evidence on the role of anti-inflammatory agents in managing depression, particularly celecoxib, which has been shown to significantly alleviate depressive symptoms as an augmenting agent. Compared with traditional nonsteroidal anti-inflammatory drugs (tNSAIDs), however, celecoxib offers modest improvement in clinical symptoms, with uncertain results for pain management, physical function, and adverse effects in patients with RA. Further research is needed to assess the effectiveness of celecoxib in the management of RA, particularly in patients suffering from comorbid depression.
Pater Wilhelm Schmidt und Sigmund Freud: Gesellschaftliche Kontexte einer religionsethnologischen Kontroverse in der Zwischenkriegszeit
Authors: Rohrbacher Peter 
Published: August 2020

ZusammenfassungDiese Studie beschäftigt sich mit den konträren Thesen zur Religionsentstehung, die Pater Wilhelm Schmidt und Sigmund Freud 1912/1913 in Wien vorlegten. Eine Auseinandersetzung fand viele Jahre nicht statt, bis Schmidt Ende Oktober 1928 Freud mit einem öffentlichen Vortrag herausforderte, den Freud nicht erwiderte. Freud bezeichnete Schmidt allerdings in den 1930er-Jahren in privaten Briefen als den Hauptfeind der Psychoanalyse in Wien und vermutete, dass Schmidt aufgrund seiner guten Kontakte zum Papst ein Verbot der Psychoanalyse im Vatikan initiierte. Ziel der Untersuchung ist die Herausarbeitung der gesellschaftlichen Kontexte dieser seit Langem bekannten Freud-Narrative. Die ersten Abschnitte erörtern die Gründe, weshalb Schmidts Kritik darauf abzielte, auf Freud das Feindbild des Bolschewismus zu übertragen. Dabei wird folgende Hypothese verfolgt: Schmidts Angriff auf Freud steht in Zusammenhang mit der Gründungsinitiative einer psychoanalytischen Privatlehranstalt in Wien, die im Januar 1929 unter dem christlich-sozialen Bildungsminister Richard Schmitz abgelehnt wurde. Der letzte Teil untersucht Dokumente aus dem „Heiligen Offizium“, das 1933/34 ein Buchverbotsverfahren gegen Freuds Schüler Edoardo Weiss führte. Die Studie basiert auf Schmidts Veröffentlichungen in Bezug auf Freud, ausgewählter Literatur von und über Freud, Zeitungsberichten aus Österreich sowie Archivmaterial aus dem Vatikan.
Challenge of COVID-19 crisis managed by emergency department of a big tertiary centre in Saudi Arabia
Authors: Qureshi Muhammad Nauman , AlRajhi Abdulaziz 
Published: August 2020

Background:
The Kingdom of Saudi Arabia was hit hard by the COVID-19 pandemic wave. King Faisal Specialist Hospital and Research Centre, Riyadh dealt with the crisis in a proactive way with the emergency department (ED) playing a pivotal role.

Patients and methods:
We searched the international literature to review the processes adopted by healthcare institutions and also used our experience of managing a previous epidemic to devise safe processes for our ED patients.

Results:
The interventions done by ED, led to safer patient care, avoidance of unnecessary admissions, reduced risk of cross infection and enhanced staff safety.

Conclusions:
Integrated ED processes helped streamline Covid-19 patients.
Ultrasound guidance for Port-A-Cath insertion in children; a comparative study
Authors: Bawazir Osama A. , Bawazir Abdullah 
Published: August 2020

Background:
Gaining vascular access in children is challenging. Ultrasound-guided central line insertion in adults became the standard of care; however, its role in children is not clear. Our objective was to evaluate the ultrasound-guided Port-A-Cath or totally implanted long-term venous access device insertion in pediatric patients compared to the traditional approach.

Methods:
This single-institution retrospective cohort study included 169 children who had port-A-catheters between May 2016 and Oct 2019. The patients were divided into two groups; group A included patients who had Port-A-Cath insertion using the landmark method (n = 117), and Group B included patients who had ultrasound-guided Port-A-Cath insertion (n = 52). Preoperative, operative, and postoperative data were collected and compared between the two groups. The study outcomes were operative time and catheter insertion-related complications.

Results:
There was no significant difference in age or gender between both groups (P = .33 and .71, respectively). Eleven cases in group A and two cases in group B were converted to cut down technique because of difficulty in inserting the guidewire. There was no difference in the indication of the need for the port-A-Cath between both groups. The mean operative time for group A was 47 min and for group B was 41.7 min (P < .042). Two patients had intraoperative bleeding and hemothorax and required blood transfusion and chest tube insertion in group A. No statistically significant difference was found in the reported complications between the groups. However, the insertion-related complications were higher in group A (P = .053). No procedure-related mortality was reported.

Conclusions:
Ultrasound-guided insertion of Port-A-Cath is an effective and safe technique with a reduction of failure rate. It should be considered the standard technique for Port-A-Cath insertion in the pediatric population.
The role of probiotics on the roadmap to a healthy microbiota: a symposium report
Authors: Lockyer Stacey , Aguirre Marisol , Durrant Louise , Pot Bruno , Suzuki Kaori 
Published: August 2020

ABSTRACT
The ninth International Yakult Symposium was held in Ghent, Belgium in April 2018. Keynote lectures were from Professor Wijmenga on using biobanks to understand the relationship between the gut microbiota and health; and Professor Hill on phage–probiotic interactions. Session one included talks from Professor Plӧsch on epigenetic programming by nutritional and environmental factors; Professor Wilmes on the use of “omics” methodologies in microbiome research and Professor Rescigno on the gut vascular barrier. Session two explored the evidence behind Lactobacillus casei Shirota with Dr Nanno explaining the plasticity in immunomodulation that enables the strain to balance immune functions; Dr Macnaughtan outlining its potential therapeutic use in cirrhosis and Professor Nishida detailing effects in subjects under stress. The third session saw Professor Marchesi describing that both the host genes and the gut microbiota can play a role in cancer; Professor Bergheim highlighting crosstalk between the gut and the liver and Professor Cani describing the relationship between the gut microbiota and the endocrine system. The final session explored probiotic mechanisms, with Professor Lebeer dissecting the challenges in conducting mechanistic studies; Professor Wehkamp describing the mucosal defence system and Professor Van de Wiele detailing methods for modelling the gut microbiota in vitro.
Future projection of cryospheric and hydrologic regimes in Koshi River basin, Central Himalaya, using coupled glacier dynamics and glacio-hydrological models
Authors: Khadka Mira , Kayastha Rijan Bhakta , Kayastha Rakesh 
Published: August 2020

AbstractClimate-induced cryospheric changes can have a significant impact on the downstream water availability. In this study, the Open Global Glacier Model (OGGM) and the Glacio-hydrological Degree-day Model (GDM) are integrated to project the response of cryospheric and hydrological systems to climate change until 2100. The study area comprises six sub-basins of glacierized Koshi River basin covering Nepalese and Chinese territories. The output from OGGM is provided as input to GDM along with the spatial and hydro-meteorological data. The average glacier area change in all the sub-basins from 2021 to 2100 is estimated as 65 and 85% decrease and the average glacier volume change is estimated as 76 and 86% decrease for RCP 4.5 and 8.5 scenarios, respectively. The future simulated discharge shows an increasing trend in pre-monsoon and monsoon seasons and a decreasing trend in post-monsoon and winter seasons after 2060 in all the sub-basins, which can lead to wetter wet seasons and drier dry seasons in the far future. A shift in peak flow is observed from August to July in most of the sub-basins. The coupled modelling technique used in this study can largely improve our understanding of glacio-hydrological dynamics in the Himalayan region.
We need to go deeper: measuring electoral violence using convolutional neural networks and social media
Authors: Muchlinski David , Yang Xiao , Birch Sarah , Macdonald Craig , Ounis Iadh 
Published: August 2020

AbstractElectoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in social media. We demonstrate that our methodology is more than 30 percent more accurate in measuring electoral violence than previously utilized models. Additionally, we show that our measures of electoral violence conform to theoretical expectations of this conflict more so than those that exist in event datasets commonly utilized to measure electoral violence including ACLED, ICEWS, and SCAD. Finally, we demonstrate the validity of our data by developing a qualitative coding ontology.
LLOYD GEORGE AND THE ELECTORAL DECLINE OF THE BRITISH LIBERAL PARTY IN THE 1920s
Authors: BLAXILL LUKE , SALEH TAYM 
Published: August 2020

ABSTRACTThis article reassesses the electoral decline of British Liberalism in the 1920s, especially the catastrophic defeat of 1924. A leading explanation for this disaster is that the Liberals were ‘fighting to lose’ by leaving nearly 250 constituencies uncontested. David Lloyd George is widely seen as deliberately seeking to destroy his party by refusing to finance candidates through his infamous ‘fund’, so he could lead what remained after electoral evisceration. His actions are widely credited with stymieing prospects of a Liberal recovery in the next election, 1929, which confirmed the party's permanent replacement by Labour. Through a wide-ranging statistical reanalysis, supported by a study of grassroots constituency campaigns, this article argues that the lack of candidates was a negligible contributor either to Liberal annihilation in 1924, or to Liberal failure to recover in 1929. The sharply deteriorating health of the party was already felt keenly at the grassroots before, not after, the seemingly freak result of 1924 was known. We thus argue that, contrary to the judgement of historians and contemporaries, the 1924 result represented the truer reflection of the party's fundamental interwar strength, with 1923 the exception. The inaction of Lloyd George in 1924 thus can be interpreted as pragmatic rather than Machiavellian.
Allometric models for sex ratio determination in all stages of ontogeny of Chelonia mydas from Bahía de los Ángeles, México
Authors: Solana-Arellano Elena , Ramírez-Delgado David , Santacruz-López Erika 
Published: August 2020

AbstractIn order to determine the sex of Chelonia mydas individuals found within one of the principal foraging areas of the Gulf of California during any given stage of ontogeny, 529 individuals were sampled in Bahía de los Ángeles from 1995–2012, and their morphometric data were collected. A principal component analysis (PCA) was performed for the morphometric variables, and two principal components were obtained that unambiguously separated sexes and ontogenetic stages. The first component was defined by straight carapace length (SCL), curve carapace length (CCL), plastron length (PL) and carapace depth (CD), while the second factor was represented by total tail length (TTL). Allometric models were fitted with the most important variables determined by the PCA. The model PL = αSCLβ was able to distinguish between adults and immature individuals. For adult organisms, the model that best separated males from females was TTL = αSCLβ. Adult females had SCL values of 66–96.7 cm and TTL values of 16.3–25 cm, while adult males had SCL values of 66.4–12.5 cm and TTL values > 25 cm. As the organisms were considered immature only if SCL < 77.3, we were able to determine the TTL values for immature individuals by using elemental mathematics and solving for SCL in the equation TTL = αSCLβ for each group (i.e. adult females, adult males and immatures). So, considering the mathematical approach and acknowledging the lack of background information, immature individuals may be considered potential females if the TTL value is between 7.04–17.8 cm and potential males if the TTL value > 17.8 cm.
Inconsistency in Ethics
Authors: Hämäläinen Nora 
Published: August 2020

AbstractConsistency is usually seen as one of the hallmarks and a cardinal virtue of moral theory, as well as of any defensible real-life moral perspective. In everyday life a consistent set of moral beliefs is conductive to moral clarity, communicability, responsibility and responsiveness. But this is just one side of the story. In this paper I argue that inconsistency, properly understood, is a productive and constructive aspect of both moral philosophy and our moral lives. After an introductory glance at Ralf Waldo Emerson and Hannah Arendt, the argument proceeds in three main steps. First, I discuss the philosophical importance of paying heed to inconsistencies in our moral lives, which often are prematurely pruned from moral philosophy. Second, I discuss the positive moral roles of inconsistency in terms of responsiveness to different situations, values, needs and concerns that call upon our attention in everyday life. Third, I argue that moral inconsistencies contribute to the necessary adaptability of our moral understandings to changing conditions. Fourth, in the place of a conclusion, I revisit the issue of consistency, clarity and accountability.
Robust Square-Root Cubature FastSLAM with Genetic Operators
Authors: Havangi Ramazan 
Published: August 2020

SUMMARYAn improved FastSLAM based on the robust square-root cubature Kalman filter (RSRCKF) with partial genetic resampling is proposed in this paper. In the proposed method, RSRCKF is used to design the proposal distribution of FastSLAM and to estimate environment landmarks. The proposed method does not require a priori knowledge of the noise statistics. In addition, to increase diversity, it uses the genetic operators-based strategy to further improve the particle diversity. In fact, a partial genetic resampling operation is carried out to maintain the diversity of particles. The proposed method is compared with other methods via simulation and experimental data. It can be seen from the results that the proposed method provides significantly more accurate and robust estimation results compared with other methods even with fewer particles and unknown a priori. In addition, the consistency of the proposed method is better than that of other methods.
Runtime verification and validation of functional reactive systems
Authors: PEREZ IVAN , NILSSON HENRIK 
Published: August 2020

Abstract
Many types of interactive applications, including reactive systems implemented in hardware, interactive physics simulations and games, raise particular challenges when it comes to testing and debugging. Reasons include de facto lack of reproducibility and difficulties of automatically generating suitable test data. This paper demonstrates that certain variants of functional reactive programming (FRP) implemented in pure functional languages can mitigate such difficulties by offering referential transparency at the level of whole programs. This opens up for a multi-pronged approach for assisting with testing and debugging that works across platforms, including assertions based on temporal logic, recording and replaying of runs (also from deployed code), and automated random testing using QuickCheck. When combined with extensible forms of FRP that allow for constrained side effects, it allows us to not only validate software simulations but to analyse the effect of faults in reactive systems, confirm the efficacy of fault tolerance mechanisms and perform software- and hardware-in-the-loop testing. The approach has been validated on non-trivial systems implemented in several existing FRP implementations, by means of careful debugging using a tool that allows the test or simulation under scrutiny to be controlled, moving along the execution time line, and pin-pointing of violations of assertions on personal computers as well as external devices.
How are words felt in a second language: Norms for 2,628 English words for valence and arousal by L2 speakers
Authors: Imbault Constance , Titone Debra , Warriner Amy Beth , Kuperman Victor 
Published: August 2020

AbstractThe topic of non-native language processing has been of steady interest in past decades. Yet, conclusions about the emotional responses in L2 have been highly variable. We conducted a large-scale rating study to explicitly measure how non-native readers of English respond to the valence and arousal of 2,628 English words. We investigated how the effect of a rater's L2 proficiency, length of time in Canada, and the semantic category of the word affects how L2 readers experience and rate that word. L2 speakers who had lived a longer time in Canada, and reported higher English proficiency, showed emotional responses that were more similar to those of L1 speakers of English. Additionally, valence differences between L1 and L2 raters were greater in words that L2 raters do not typically use in English. These findings highlight the importance of behavioural ecology in language learning, particularly as it applies to emotional word processing.
AI in actuarial science – a review of recent advances – part 2
Authors: Richman Ronald 
Published: August 2020

Abstract
Rapid advances in artificial intelligence (AI) and machine learning are creating products and services with the potential not only to change the environment in which actuaries operate, but also to provide new opportunities within actuarial science. These advances are based on a modern approach to designing, fitting and applying neural networks, generally referred to as “Deep Learning”. This paper investigates how actuarial science may adapt and evolve in the coming years to incorporate these new techniques and methodologies. Part 1 of this paper provides background on machine learning and deep learning, as well as an heuristic for where actuaries might benefit from applying these techniques. Part 2 of the paper then surveys emerging applications of AI in actuarial science, with examples from mortality modelling, claims reserving, non-life pricing and telematics. For some of the examples, code has been provided on GitHub so that the interested reader can experiment with these techniques for themselves. Part 2 concludes with an outlook on the potential for actuaries to integrate deep learning into their activities. Finally, a supplementary appendix discusses further resources providing more in-depth background on machine learning and deep learning.