bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overall survival results from the randomized phase 2 study of palbociclib in combination with letrozole versus letrozole alone for first-line treatment of ER+/HER2− advanced breast cancer (PALOMA-1, TRIO-18)
Authors: Finn Richard S. , Boer Katalin , Bondarenko Igor , Patel Ravindranath , Pinter Tamas , Schmidt Marcus , Shparyk Yaroslav V. , Thummala Anu , Voitko Nataliia , Bananis Eustratios , McRoy Lynn , Wilner Keith , Huang Xin , Kim Sindy , Slamon Dennis J. , Ettl Johannes 
Published: July 2020

AbstractPurposePalbociclib is a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor, approved in combination with endocrine therapy for the treatment of women and men with hormone receptor–positive, human epidermal growth factor receptor 2–negative advanced breast cancer (HR+/HER2− ABC). In the phase 2, open-label, PALOMA-1 trial, palbociclib plus letrozole significantly prolonged progression-free survival (PFS) versus letrozole alone (hazard ratio, 0.488; 95% CI 0.319‒0.748;P = 0.0004; median PFS, 20.2 vs 10.2 months, respectively) in postmenopausal women with estrogen receptor–positive (ER+)/HER2− ABC. Here, we present the final overall survival (OS) and updated safety results.MethodsPostmenopausal women with ER+/HER2− ABC were randomized 1:1 to receive either palbociclib (125 mg/day, 3/1 schedule) plus letrozole (2.5 mg/day, continuous) or letrozole alone (2.5 mg/day, continuous). The primary endpoint was investigator-assessed PFS; secondary endpoints included OS and safety.ResultsA total of 165 patients were randomized. At the data cutoff date of December 30, 2016 (median duration of follow-up, 64.7 months), the stratified hazard ratio for OS was 0.897 (95% CI 0.623–1.294;P = 0.281); median OS in the palbociclib plus letrozole and letrozole alone arms was 37.5 and 34.5 months, respectively. The median time from randomization to first subsequent chemotherapy use was longer with palbociclib plus letrozole than letrozole alone (26.7 and 17.7 months, respectively). The most frequently reported adverse event in the palbociclib plus letrozole arm was neutropenia (any grade, 75%; grade 3 or 4, 59%).ConclusionsPalbociclib plus letrozole treatment led to a numerical but not statistically significant improvement in median OS.Pfizer Inc (NCT00721409)
Strengthening the Power of Evidence-Based Prevention in Cooperative Extension: A Capacity-Building Framework for Translation Science-Driven Behavioral Health
Authors: Spoth Richard , Franz Nancy , Brennan Alison 
Published: July 2020

Abstract
Background
Translation science entails application of information gained through scientific research to practices intended to improve prevention and public health. The outreach arm of Land-Grant Universities—the Cooperative Extension System—is uniquely poised to facilitate this translation process and contribute to resolution of current substance misuse and other behavioral health issues.

Objective
This paper summarizes selected literatures that guided the conceptualization of a framework for building Extension’s capacity to enhance the translation process, in order to better address substance misuse and other behavioral health issues.

Method
Peer-reviewed literature was obtained from journals representing varied disciplines including medicine, public health, education, and psychology. Journals for Extension professionals were a prominent source of relevant literature. The literature review informed the identification of relevant practice gaps, barriers in addressing those gaps, and the development of a capacity-building framework.

Results
The framework described highlights opportunities for building Cooperative Extension’s capacity to address goals in four key domains. These goals include (1) catalyzing Extension’s organizational development to support science-driven practices, (2) bolstering prevention and behavioral health-oriented professional development for Extension faculty and staff, (3) creating a stronger culture of behavioral health in Extension, and (4) strengthening Extension’s financing of prevention-oriented behavioral health efforts.

Conclusion
Addressing the capacity-related goals identified in this paper could be a major catalyst for enhancing the power of proven, prevention-oriented behavioral health and, thereby, the well-being of our families, communities and nation.
Iterative solvers for Biot model under small and large deformations
Authors: Borregales Reverón Manuel Antonio , Kumar Kundan , Nordbotten Jan Martin , Radu Florin Adrian 
Published: July 2020

AbstractWe consider L-scheme and Newton-based solvers for Biot model under large deformation. The mechanical deformation follows the Saint Venant-Kirchoff constitutive law. Furthermore, the fluid compressibility is assumed to be non-linear. A Lagrangian frame of reference is used to keep track of the deformation. We perform an implicit discretization in time (backward Euler) and propose two linearization schemes for solving the non-linear problems appearing within each time step: Newton’s method and L-scheme. Each linearization scheme is also presented in a monolithic and a splitting version, extending the undrained split methods to non-linear problems. The convergence of the solvers, here presented, is shown analytically for cases under small deformation and numerically for examples under large deformation. Illustrative numerical examples are presented to confirm the applicability of the schemes, in particular, for large deformation.
Determining the Generalized Discount Rate for Risky Projects
Authors: Luo Lanlan , Chen Shou , Zou Ziran 
Published: July 2020

AbstractIt is widely recognized that the evaluation of risky projects critically depends on how the riskiness of future benefits is treated. Standard discounting theories are based on the assumption that risks that are uncorrelated with aggregate risk are diversified, so that projects’ idiosyncratic risk is not priced. However, this may not be true for long-term risky projects, such as those with persistent idiosyncratic shocks. In this study, we investigate the impact of both aggregate risk and nondiversifiable idiosyncratic risk on the discount rate for risky projects. We extend the generalized discount rate to the case of persistent shocks. A particular advantage of the generalized discount rate is that it can be applied in the setting of incomplete markets. We show that nondiversifiable idiosyncratic risk reduces the discount rate, and increases the present value of projects’ future uncertain benefits. We further apply our findings to the evaluation of emissions reduction projects.
Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech’s newfound role as global health policy makers
Authors: Sharon Tamar 
Published: July 2020

AbstractSince the outbreak of COVID-19, governments have turned their attention to digital contact tracing. In many countries, public debate has focused on the risks this technology poses to privacy, with advocates and experts sounding alarm bells about surveillance and mission creep reminiscent of the post 9/11 era. Yet, when Apple and Google launched their contact tracing API in April 2020, some of the world’s leading privacy experts applauded this initiative for its privacy-preserving technical specifications. In an interesting twist, the tech giants came to be portrayed as greater champions of privacy than some democratic governments. This article proposes to view the Apple/Google API in terms of a broader phenomenon whereby tech corporations are encroaching into ever new spheres of social life. From this perspective, the (legitimate) advantage these actors have accrued in the sphere of the production of digital goods provides them with (illegitimate) access to the spheres of health and medicine, and more worrisome, to the sphere of politics. These sphere transgressions raise numerous risks that are not captured by the focus on privacy harms. Namely, a crowding out of essential spherical expertise, new dependencies on corporate actors for the delivery of essential, public goods, the shaping of (global) public policy by non-representative, private actors and ultimately, the accumulation of decision-making power across multiple spheres. While privacy is certainly an important value, its centrality in the debate on digital contact tracing may blind us to these broader societal harms and unwittingly pave the way for ever more sphere transgressions.
Mobility, habitat selection and population connectivity of the butterfly Lycaena helle in central Sweden
Authors: Modin Hanna , Öckinger Erik 
Published: July 2020

AbstractTo be able to predict habitat quality and potential distribution of threatened species is key to developing successful conservation strategies for threatened species with fragmented distributions. The aim of this study was to assess factors that limit the local distribution and density ofLycaena helle, an endangered butterfly, in central Sweden, and to estimate its mobility in order to classify local populations according to their importance for the connectivity on a regional level. An additional aim was to test ifL. hellehabitat quality could be assessed using remotely-sensed data such as laser scanning (LiDAR). We derived potential predictors ofL. helleoccurrence from laser scanning data and used a resource selection function to assess their predictive power. We used a mark-recapture approach to studyL. hellemovement and estimate dispersal distances. The probability of occurrence ofL. helleincreased with higher solar irradiation and was negatively affected by sloping terrain, but the LiDAR data generally had low predictive power. Population density increased with host plant density, but this effect was weak. The mark-recapture study confirmed thatL. helleis very sedentary, with a mean movement distance of only 114 m and a maximum of 600 m. The studied population extends over a large network of interconnected linear habitats, which probably facilitates dispersal and thereby population persistence. Our study highlight the importance of a warm micro-climate and of man-made habitats like road verges and power-line corridors for the conservation ofL. helle.
Fair trade in building digital knowledge repositories: the knowledge economy as if researchers mattered
Authors: De Grandis Giovanni 
Published: July 2020

AbstractBoth a significant body of literature and the case study presented here show that digital knowledge repositories struggle to attract the needed level of data and knowledge contribution that they need to be successful. This happens also to high profile and prestigious initiatives. The paper argues that the reluctance of researchers to contribute can only be understood in light of the highly competitive context in which research careers need to be built nowadays and how this affects researchers’ quality of life. Competition and managerialism limit the discretion of researchers in sharing their results and in donating their working time. A growing corpus of research shows that academic researchers are increasingly overworked and highly stressed. This corroborates the point that the room for undertaking additional tasks with future and uncertain benefits is very limited. The paper thus recommends that promoters of digital knowledge repositories focus on the needs of the researchers who are expected to contribute their knowledge. In order to treat them fairly and to ensure the success of the repositories, knowledge sharing needs to be rewarded so as to improve the working conditions of contributors. In order to help implementing this researcher-centred approach, the paper proposes the idea of expediential trust: rewards for contributing should be such that rational, self-interested researchers would freely decide to contribute their knowledge and effort trusting that this would make them better off.
Emotion emphasis effects in moral judgment are moderated by mindsets
Authors: Doerflinger Johannes T. , Gollwitzer Peter M. 
Published: July 2020

AbstractIn two studies, emotion emphasis effects on moral judgment are demonstrated. The studies indicate that emphasizing negative consequences in trolley-type dilemmas with emotional language produces more utilitarian responses if such emphasis is on the consequences of the deontological option, and more deontological responses if it is on the consequences of the utilitarian option. This effect was moderated by action-phase related mindsets. Individuals in an implemental mindset were less susceptible to the emotion emphasis effect than individuals in a deliberative mindset (Studies 1, 2). By also using an eye-tracking task in Study 2, we demonstrated that our implemental mindset participants’ visual attention was more focused—in particular on goal-directed means—than that of the deliberative mindset participants.
Effective flood risk visualisation
Authors: Percival Sarah Ellen , Gaterell Mark , Hutchinson David 
Published: July 2020

AbstractThe effective communication of flood risk offers the opportunity to ensure communities can adapt and respond appropriately to changing local conditions. At a time of diminishing resources, such local responses, which can empower communities and make them more resilient to uncertain future flood events, are vital. The most general and accessible type of flood communication are flood risk visualisations, i.e. pre-prepared emergency flood maps. However, evidence suggests there is much we can do to improve their ability to communicate the complexities of flood risk to a range of stakeholders. This paper considers the development of flood risk visualisation approaches in the UK, presenting findings from a series of targeted workshops over twelve months, where the needs and criteria of stakeholder groups for effective flood risk visualisation were assessed via co-creative processes. Key stakeholders included local authorities, emergency responders, vulnerable homeowners, Environment Agency, business owners and, crucially, communities. These users need certain requirements to be considered in order for future flood risk visualisation to be effective, in particular simplicity, a central hub of information, different visuals available for the same data sets/problems, different maps available for different users, consistent terminology and integrated community knowledge (e.g. local flood groups/help).
On the effects of linear damping on the nonlinear Ziegler’s column
Authors: D’Annibale Francesco , Ferretti Manuel 
Published: July 2020

AbstractIn this paper, the effects of linear damping on the post-critical behavior of the Ziegler’s column are discussed. To this end, the well-known double-pendulum, loaded at the free-end by a follower force, firstly introduced by Ziegler, is considered in regime of finite displacements. The multiple scale method is applied to the equations of motion expanded up to the cubic terms, to analyze the nonlinear behavior of a generically damped column, close to the simple-Hopf bifurcation triggered by the follower force. The obtained bifurcation equations are shown to be useful in providing qualitative information about the nonlinear mechanical response of the column in the whole damping plane. Validation of the asymptotic solution, carried out via numerical analyses of the exact equations of motion, points out the effectiveness of the proposed analysis also on the quantitative side.
Evaluating human versus machine learning performance in classifying research abstracts
Authors: Goh Yeow Chong , Cai Xin Qing , Theseira Walter , Ko Giovanni , Khor Khiam Aik 
Published: July 2020

AbstractWe study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance against the support vectors machine ML algorithm at classifying European Research Council Starting Grant project abstracts to their actual evaluation panels, which are organised by discipline groups. On average, ML is more accurate than human classifiers, across a variety of training and test datasets, and across evaluation panels. ML classifiers trained on different training sets are also more reliable than human classifiers, meaning that different ML classifiers are more consistent in assigning the same classifications to any given abstract, compared to different human classifiers. While the top five percentile of human classifiers can outperform ML in limited cases, selection and training of such classifiers is likely costly and difficult compared to training ML models. Our results suggest ML models are a cost effective and highly accurate method for addressing problems in comparative bibliometric analysis, such as harmonising the discipline classifications of research from different funding agencies or countries.
The Application of Attenuated Total Reflection Infrared Spectroscopy to Investigate the Liquid Phase Hydrogenation of Benzaldehyde Over an Alumina-Supported Palladium Catalyst
Authors: Boulho Cédric , Gibson Emma K. , McAllister Mairi I. , Moss Robert , Lennon David 
Published: July 2020

AbstractThe hydrogenation of benzaldehyde in cyclohexane over a 5 wt% Pd/Al2O3catalyst at 313 K is firstly investigated at ambient pressure in a stirred batch reactor. The formation of benzyl alcohol is a facile process and a small mass imbalance is indirectly attributed to the formation of benzene as a by-product. No hydrogenolysis reaction to form toluene is observed. Secondly, examination of this reaction system by attenuated total reflection infrared (ATR-IR) spectroscopy enables the chemistry at the liquid/solid interface to be probed. Specifically, the ν(C=O) modes of solvated and adsorbed benzaldehyde are evident at 1712 and 1691 cm−1respectively, providing information on how the reagent is partitioning within the reaction medium. Spectral acquisition on initiation of hydrogenation then enables the benzaldehyde → benzyl alcohol transition to be tracked. The additional presence of a broad CO stretching band of chemisorbed carbon monoxide (1852–1929 cm−1) is attributed to the hydrogen-assisted decarbonylation pathway that forms the benzene by-product.
The interaction of imperviousness and habitat heterogeneity drives bird richness patterns in south Asian cities
Authors: Sultana Marufa , Corlatti Luca , Storch Ilse 
Published: July 2020

AbstractBird species richness has often been used as an indicator of urbanisation effects on biodiversity in North America and Europe, but similar studies are rare in rapidly urbanising regions in the tropics. Here we assess the effect of different urban environmental factors on local resident bird species richness at different spatial extents in South Asian cities. Bird data at 57 urban locations distributed across 11 cities were retrieved from the available literature. Different variables assessing the degree of urbanisation and urban habitat factors were measured, at 1000 m and 5000 m radius scale extent, for each urban location. We investigated how resident bird species richness was affected by urban environmental predictors by fitting linear regression models in a Bayesian framework. Our model suggested strong positive influence of the interaction between habitat Shannon metric (a proxy of habitat heterogeneity) and proportion of impervious surface (a proxy of human built-up and settlement extent) on local resident bird richness at both spatial scales. Increasing values of habitat Shannon metric positively related to increasing bird richness, but only when the proportion of impervious surface was very high. Our results suggest that areas with a high degree of urbanisation necessitate an increase of habitat heterogeneity to maintain high local bird diversity. Increasing the quality and the compositional variability of remaining bird habitat patches in highly built-up areas should be a major conservation concern within cities of South Asia.
Effect of Low-Friction Composite Polymer Coatings Fabricated by Electrophoretic Deposition and Heat Treatment on the Ti-6Al-4V Titanium Alloy’s Tribological Properties
Authors: Fiołek Aleksandra , Zimowski Sławomir , Kopia Agnieszka , Sitarz Maciej , Moskalewicz Tomasz 
Published: July 2020

Abstract
In this work, polytetrafluoroethylene/polyetheretherketone (PTFE/PEEK 708) coatings were fabricated by electrophoretic deposition (EPD) and heat treatment to improve the tribological properties of the Ti-6Al-4V alloy. A stable suspension containing chitosan polyelectrolyte allowed the co-deposition of both polymer types. The effect of soaking temperature and cooling rate on the coating microstructure was determined. The homogeneous coatings were obtained by heating at 450 °C and cooling with a furnace or in water. The crystalline PTFE separate particles and their agglomerates were homogeneously distributed in a PEEK matrix. Interestingly, the PEEK structure was amorphous regardless of the cooling rate after heating. This new phenomenon is associated with the fluorination process. The coatings exhibited moderate scratch resistance but significantly decreased the coefficient of friction (COF) and enhanced the wear resistance of the alloy during the dry friction process in sliding contact with an Al2O3 ball. The COF of the PTFE/PEEK 708 coating equaled 0.10 at room temperature (RT) and was lower than that of the alloy and pure PEEK 708 coating investigated in the same conditions, which reached 0.70 and 0.27, respectively. The wear rate of the coated alloy at RT was lower than that of the uncoated and PEEK 708 coated alloy, around 1900 and 10 times, respectively. Both the COF and wear increased slightly during friction at 150 °C. The coating was not effective in improving the alloy’s tribological properties during friction at 260 °C.
Using crowdsourced mathematics to understand mathematical practice
Authors: Pease Alison , Martin Ursula , Tanswell Fenner Stanley , Aberdein Andrew 
Published: July 2020

AbstractRecords of online collaborative mathematical activity provide us with a novel, rich, searchable, accessible and sizeable source of data for empirical investigations into mathematical practice. In this paper we discuss how the resources of crowdsourced mathematics can be used to help formulate and answer questions about mathematical practice, and what their limitations might be. We describe quantitative approaches to studying crowdsourced mathematics, reviewing work from cognitive history (comparing individual and collaborative proofs); social psychology (on the prospects for a measure of collective intelligence); human–computer interaction (on the factors that led to the success of one such project); network analysis (on the differences between collaborations on open research problems and known-but-hard problems); and argumentation theory (on modelling the argument structures of online collaborations). We also give an overview of qualitative approaches, reviewing work from empirical philosophy (on explanation in crowdsourced mathematics); sociology of scientific knowledge (on conventions and conversations in online mathematics); and ethnography (on contrasting conceptions of collaboration). We suggest how these diverse methods can be applied to crowdsourced mathematics and when each might be appropriate.