bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the peer effect of green innovation within manufacturing enterprises
Authors: Liu Fang , Liang Chen 
Published: November 2023

AbstractThis study investigates the influence of peer firms on green technology innovation (GTI) practices within companies operating in analogous markets, with a particular focus on publicly listed manufacturing entities. We ascertain the magnitude of the peer effect (PE) on GTI through empirical analysis. Our results confirm the presence of a significant PE, highlighting that peer dynamics shape GTI levels. Furthermore, we delve into the decision‐making mechanisms underpinning this PE and uncover that internal and organizational environments mediate the relationship between peers and firms. Specifically, the mechanisms of industry performance, intellectual property protection, and environmental regulation emerge as salient factors that modulate the PE in GTI. These findings shed light on the determinants guiding enterprise GTI, offering recommendations for refining innovation processes, and shaping effective environmental governance policies.
Symposium zu Dream Reactions in Münster
Authors: Lückemeier Lukas , Heusler Arne 
Published: November 2023

AbstractAuf dem Weg in eine nachhaltige Zukunft – beim ersten Dream‐Reactions‐Symposium in Münster trafen sich am 24. August mehr als 200 Forschende und Studierende aus Israel, den USA, Japan, Schweden, Dänemark, den Niederlanden und Deutschland, um sich über grüne Chemie unter dem diesjährigen Schwerpunktthema Wasserstoff auszutauschen. Sieben führende Professoren aus verschiedenen Forschungsbereichen gaben Einblicke in gesellschaftlich relevante Themen von der Wasserstoffspeicherung über den Abbau von Kunststoffen bis hin zur Nutzung gut verfügbarer Rohstoffe. Organisiert wurde die Veranstaltung von Frank Glorius an der Universität Münster.
Assessment of Artificial Intelligence Performance on the Otolaryngology Residency In‐Service Exam
Authors: Mahajan Arushi P. , Shabet Christina L. , Smith Joshua , Rudy Shannon F. , Kupfer Robbi A. , Bohm Lauren A. 
Published: November 2023

AbstractObjectivesThis study seeks to determine the potential use and reliability of a large language learning model for answering questions in a sub‐specialized area of medicine, specifically practice exam questions in otolaryngology–head and neck surgery and assess its current efficacy for surgical trainees and learners.Study Design and SettingAll available questions from a public, paid‐access question bank were manually input through ChatGPT.MethodsOutputs from ChatGPT were compared against the benchmark of the answers and explanations from the question bank. Questions were assessed in 2 domains: accuracy and comprehensiveness of explanations.ResultsOverall, our study demonstrates a ChatGPT correct answer rate of 53% and a correct explanation rate of 54%. We find that with increasing difficulty of questions there is a decreasing rate of answer and explanation accuracy.ConclusionCurrently, artificial intelligence‐driven learning platforms are not robust enough to be reliable medical education resources to assist learners in sub‐specialty specific patient decision making scenarios.
An Interdependent Approach: Manifestations in Cultural Practices
Authors: Uchida Yukiko , Rappleye Jeremy 
Published: November 2023

AbstractIn the previous chapter, we elaborated on the interdependent mode of happiness. We sought to provide conceptual constructs, theoretical exploration, and empirical support. In this chapter, we extend that discussion to the larger puzzle of culture. In doing so, we return to questions raised in Chap. 2: the relationship between ‘micro’ self-construal and ‘macro’ contexts. How does an interdependent mode manifest in the larger cultural patterns? What sorts of alternative cultural practices does an interdependent approach give rise to? How do cultural practices help reinforce or, in some cases, challenge dominant patterns? In line with the discussions thus far, we focus on three specific cultural domains: measurement, education, and social capital. In doing so, we link cultural psychology’s focus on modes of self-construal with larger patterns of social-construal, traditionally the domain of social sciences disciplines like sociology. This further extends the interdisciplinarity of the last chapter, showing how psychology, philosophy, and social science—or at least the culturally aware communities within these broad academic fields—come to be mutually reinforcing. This combined micro and macro approach is a crucial synthetic perspective necessary for understanding the future of happiness and well-being.
Beyond Objectivity? Storytelling and Reflexivity as Expert Work
Authors: Grek Sotiria 
Published: November 2023

AbstractThis chapter focuses on an analysis of the role of storytelling and reflexivity in further strengthening and legitimising quantification in global education governance. It examines two specific empirical examples that show, first, how data visualisations in education and sustainable development are changing in order to accommodate the construction of a more democratic and inclusive governing space; and second, how policy and expert actors themselves use reflexivity as a way not only to understand and think about their daily policy work, but also to create spaces of alignment and consensus. In that way, both storytelling and reflexivity can be seen as working instrumentally, enhancing and further embedding the work of ‘governing by numbers’, rather than displacing it.
Navigating the Market of Measurement: Data, Quality, and Competition
Authors: Grek Sotiria 
Published: November 2023

AbstractThis chapter discusses the rise of a market of measurement over the last decade, as IOs and other data agencies compete for the production of datasets and measures that will become most popular and thus win over other measurement ‘products’. The production of data to support comparative assessment and evaluation is one of IOs’ key organisational remits; therefore, they have vested interests in promoting the implementation of their measures over those of others. Consequently, what we observe is not collaboration towards the construction of the most robust measures but rather a navigation of the market of measurement; this has often led to conflicts and controversies over statistical data collection, as well as market ‘inefficiencies’ and contestations.
Quantification and Utopia: New Forms of Expert Knowledge Production in Global Education Governance
Authors: Grek Sotiria 
Published: November 2023

AbstractThis concluding chapter brings together the five different strands of the empirical and theoretical analysis developed in previous chapters. It argues for a novel perspective of the role of quantification in the production of education utopias. The chapter discusses the ways that metrological realism has constructed a well-supported epistemic infrastructure, built on relationships and practices that go beyond the mere objectivity and reliability of numerical evidence; rather, quantification has led to ideational and institutional interdependencies that have produced an intricate, fragmented and opaque knowledge and governance web.
Dynamic estimates of survival in oncocytic cell carcinoma of the thyroid
Authors: Shi Yang , Zheng Yuenan , Zhang Hao , Dong Wenwu , Zhang Ping 
Published: November 2023

Abstract
Background
Little is known about death hazard and conditional survival of oncocytic cell carcinoma of the thyroid (OCC).

Methods
Patients diagnosed with OCC between 2004 to 2019 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan–Meier method was used to estimate the actuarial disease-specific survival (DSS). The annual hazard rate of death was depicted employing the hazard function. Based on the life-table method, the conditional DSS was calculated.

Results
In terms of DSS rates, there were statistically significant differences among the different stages (P < 0.01). Annual hazard curves for mortality from OCC in the entire study participants demonstrated an overall decreasing tendency with two peaks at 3 and 10 years. In patients with distant disease, the death risk curve was the steepest and decreased quickly and evidently. Conditional DSS tended to increase over time in the entire study population. Patients with distant disease showed more significant alterations than those patients with local or regional disease.

Conclusions
Prognosis improved over time in patients with OCC. The largest increase in conditional DSS was observed in patients with distant disease. Conditional survival may provide more relevant prognostic information than conventional survival estimates and allow personalized follow-up and counseling.
Quantifying the impacts of urbanization on urban green, evidences from Maga City, Lahore Pakistan
Authors: Rehman Ateeq ur , Aziz Asad , Anwar Muhammad Mushahid , Majeed Muhammad , Albanai Jasem A. , Almohamad Hussein , Abdo Hazem Ghassan 
Published: November 2023

AbstractGlobally, green spaces are considered as a fundamental part of biodiversity to balance the environment in an ecosystem particularly in urban areas. Contrary to this, urban green is declining in the least developing nations particularly due to rapid urbanization. This impact alter the condition of environmental services in term of non-provision and insufficient urban green spaces for the local population. This study takes Shahdara Town as an area of interest that is a congested urban area of Lahore Pakistan, and currently facing social injustice in terms of a dense urban area with few green spaces. The study uses Geographical Information Science for the identification of green spaces, calculation of their total area, and quantification of green cover extent by using NDVI, to comparing them with population to analyzed the environmental justice. To check the social perspective of the population regarding green areas and their importance among urban people, a comparison has been made with the presence of parks in the area, their association with living conditions and quality of life of locals. This social prospective was investigated by applying the Multiple Linear Regression Model (MLRM) by taking the availability of park/urban green in area as dependent variable and accessibility to parks, its total distance from a house, and frequency of visit as independent variables. The resultant analysis shows that according to international standards, per capita green spaces are less in this town, of Lahore. This imbalance provision of environmental services is a challenging task, for policymakers and a hurdle for urban sustainability. Finally, the outcomes of the research provide a documented base evidence and social analysis for environmental sustainability in terms of provisions of environmental services for the urban dwellers in the region.
Comparing IRT properties among different category numbers: a case from attitudinal measurement on physics education research
Authors: Santoso Purwoko Haryadi , Setiawati Farida Agus , Ismail Raoda , Suhariyono Suhariyono 
Published: November 2023

AbstractCollapsing different category numbers within attitudinal measurement on learning and instruction can be an option of physics education research (PER) scholars while interpreting categorical responses from participants. Psychometric evaluation of the different category numbers, however, has inconclusive results to date. Item response theory (IRT) offers psychometric framework at the item level that has been approached in this study to explore psychometric properties of five different number of categories. One thousand artificial data within five number of categories were generated based on the underlying marginal distribution and the inter item correlation matrix. Statistical parameters [item estimates and test information functions (TIFs)] from Graded Response Model (GRM) were employed to describe the psychometric behaviors of the studied category numbers. Our findings demonstrated that the discrimination index among the five category numbers remained constant. Global fit indices had no distinguishable information to differentiate the varying category numbers. Based on the item location and TIF, our results confirmed previous works that more information will be raised by the greater number of categories. The implication intended by this study should offer a key recommendation for a case from attitudinal measurement on the PER community or even beyond the psychometric field.
Knowledge in real-world contexts: not glamorous, but indispensable
Authors: Rich Patricia 
Published: November 2023

AbstractDuring the past several decades, many epistemologists have argued for and contributed to a paradigm shift according to which knowledge is central to assertion, action, and interaction. This general position stands in sharp contrast to several recently developed accounts regarding specific epistemic contexts. These specific accounts resist applying traditional epistemic norms, including strong knowledge norms, to real-world situations of interest. In particular, I consider recent arguments about the epistemic standards for scientific pronouncements, expert testimony in a political context, and interactive reasoning. I argue, firstly, that knowledge does have a crucial role to play in each case, contrary to appearances. Clarifying the role of knowledge fills gaps in our understanding left open by the existing accounts. Secondly, I show that combining the insights from the knowledge-centric approach and from the more specific accounts provides a new perspective on the open problem of developing an account of knowledge-based decisions. Specifically, I argue that the biggest open problem regarding knowledge-based decisions is not how we respond to uncertainty, but rather how we assess the relevance of our many disparate pieces of knowledge, choosing which to integrate, and how. A strong case emerges for a procedural solution to this part of the problem of how to make knowledge-based decisions.
Promoting equity, inclusion, and efficiency: A team science approach to the development of authorship guidelines for a multi-disciplinary research team
Authors: Lewis Hannah , Biesecker Barbara , Lee Sandra Soo-Jin , Anderson Katherine , Joseph Galen , Jenkins Charisma L. , Bulkley Joanna E. , Leo Michael C. , Goddard Katrina A. B. , Wilfond Benjamin S. 
Published: November 2023

Abstract
Large research teams and consortia present challenges for authorship. The number of disciplines involved in the research can further complicate approaches to manuscript development and leadership. The CHARM team, representing a multi-disciplinary, multi-institutional genomics implementation study, participated in facilitated discussions inspired by team science methodologies. The discussions were centered on team members’ past experiences with authorship and perspectives on authorship in a large research team context. Team members identified challenges and opportunities that were used to create guidelines and administrative tools to support manuscript development. The guidelines were organized by the three values of equity, inclusion, and efficiency and included eight principles. A visual dashboard was created to allow all team members to see who was leading or involved in each paper. Additional tools to promote equity, inclusion, and efficiency included providing standardized project management for each manuscript and making “concept sheets” for each manuscript accessible to all team members. The process used in CHARM can be used by other large research teams and consortia to equitably distribute lead authorship opportunities, foster coauthor inclusion, and efficiently work with large authorship groups.
Local convergence of critical Galton–Watson trees
Authors: Bouaziz Aymen 
Published: November 2023

AbstractWe study the local convergence of critical Galton–Watson trees under various conditionings. We give a sufficient condition, which serves to cover all previous known results, for the convergence in distribution of a conditioned Galton–Watson tree to Kesten’s tree. We also propose a new proof to give the limit in distribution of a critical Galton–Watson tree, with finite support, conditioned on having a large width.
Mercury speciation in selenium enriched wheat plants hydroponically exposed to mercury pollution
Authors: Manivannan Nithyapriya , Subirana Maria Angels , Boada Roberto , Marini Carlo , Llugany Mercè , Valiente Manuel , Simonelli Laura 
Published: November 2023

AbstractMercury (Hg) pollution in agricultural soils and its potential pathway to the human food chain can pose a serious health concern. Understanding the pathway of Hg in plants and how the speciation may change upon interaction with other elements used for biofortification can be critical to assess the real implications for the final plant-based product. In that respect, selenium (Se) biofortification of crops grown in Se-poor soil regions is becoming a common practice to overcome Se deficient diets. Therefore, it is important to assess the interplay between these two elements since Se may form complexes with Hg reducing its bioavailability and toxicity. In this work, the speciation of Hg in wheat plants grown hydroponically under the presence of Hg (HgCl2) and biofortified with Se (selenite, selenate, or a 1:1 mixture of both) has been investigated by X-ray absorption spectroscopy at the Hg L3-edge. The main Hg species found in wheat grains was the highly toxic methylmercury. It was found that the Se-biofortification of wheat did not prevent, in general, the Hg translocation to grains. Only the 1:1 mixture treatment seemed to have an effect in reducing the levels of Hg and the presence of methylmercury in grains.
Short-term evidence of partner-induced performance biases in simultaneous and alternating dyad practice in golf
Authors: Scott Matthew W. , Howard Jonathan , Karlinsky April , Mehta Aneesha , Welsh Timothy N. , Hodges Nicola J. 
Published: November 2023

AbstractActions in social settings are often adapted based on co-actors. This adaptation can occur because one actor “co-represents” the actions and plans of another. Co-representation can result in motor contagion errors, whereby another’s actions unintentionally interfere with (negatively impact) the actor. In sports, practice often takes place simultaneously or alternating with a partner. Co-representation of another’s task could either harm or benefit skill retention and transfer, with benefits due to variable experiences and effortful processes in practice. Here, dyad groups that either alternated or simultaneously practiced golf putting to different (near vs. far) targets were compared to alone groups (n = 30/group). We focused on errors in distance from the target and expected overshooting for near-target partners paired with far-target partners (and undershooting for far-target partners paired with near-target partners), when compared to alone groups. There was evidence of co-representation for near-target partners paired with far-target partners. We also saw trial-to-trial error-based adjustments based on a partner’s outcome in alternating dyads. Despite differences in practice between dyad and alone groups, these did not lead to costs or benefits at retention or transfer. We conclude that the social-context of motor learning impacts behaviours of co-actors, but not to the detriment of overall learning.
A shift towards broader and less persistent Southern Hemisphere temperature anomalies
Authors: Karbi Itamar , Chemke Rei 
Published: November 2023

AbstractTemperature anomalies considerably influence the regional climate and weather of the extratropics. By the end of this century, climate models project an intensification of synoptic temperature variability in the Southern Hemisphere mid-latitudes. This intensification, however, comprises temperature anomalies with various length scales and periods, which might respond differently to anthropogenic emissions. Here, we find a shift, in coming decades, towards spatially larger and less persistent temperature anomalies in the Southern Hemisphere mid-latitudes. A shift towards larger length scales is also found during regional extreme heat events. The shift in length scale and duration is found to stem from changes in the meridional heat flux of atmospheric perturbations. Our results emphasize the importance of investigating the length scale and period-dependent changes in the mid-latitude climate, to prevent masking the different impacts of various length scales and periods, and thus provide more accurate climate projections for the mid-latitudes.
Plasmonic bimetallic two-dimensional supercrystals for H2 generation
Authors: Herran Matias , Juergensen Sabrina , Kessens Moritz , Hoeing Dominik , Köppen Andrea , Sousa-Castillo Ana , Parak Wolfgang J. , Lange Holger , Reich Stephanie , Schulz Florian , Cortés Emiliano 
Published: November 2023

AbstractSunlight-driven H2 generation is a central technology to tackle our impending carbon-based energy collapse. Colloidal photocatalysts consisting of plasmonic and catalytic nanoparticles are promising for H2 production at solar irradiances, but their performance is hindered by absorption and multiscattering events. Here we present a two-dimensional bimetallic catalyst by incorporating platinum nanoparticles into a well-defined supercrystal of gold nanoparticles. The bimetallic supercrystal exhibited an H2 generation rate of $$139\,{\mathrm{mmol}}\,{\mathrm{g}}_{\mathrm{cat}}^{-1}\,{\mathrm{h}}^{-1}$$

139

mmol

g

cat

−
1

h

−
1

via formic acid dehydrogenation under visible light illumination and solar irradiance. This configuration makes it possible to study the interaction between the two metallic materials and the influence of this in catalysis. We observe a correlation between the intensity of the electric field in the hotspots and the boosted catalytic activity of platinum nanoparticles, while identifying a minor role of heat and gold-to-platinum charge transfer in the enhancement. Our results demonstrate the benefits of two-dimensional configurations with optimized architecture for liquid-phase photocatalysis.
Signatures of a Majorana-Fermi surface in the Kitaev magnet Ag3LiIr2O6
Authors: Heath Joshuah T. , Bahrami Faranak , Lee Sangyun , Movshovich Roman , Chen Xiao , Tafti Fazel , Bedell Kevin 
Published: November 2023

AbstractDetecting Majorana fermions in experimental realizations of the Kitaev honeycomb model is often complicated by non-trivial interactions inherent to potential spin liquid candidates. In this work, we identify several distinct thermodynamic signatures of massive, itinerant Majorana fermions within the well-established analytical paradigm of Landau-Fermi liquid theory. We find a qualitative and quantitative agreement between the salient features of our Landau-Majorana liquid theory and the Kitaev spin liquid candidate Ag3LiIr2O6. Our study presents strong evidence for a Fermi liquid-like ground state in the fundamental excitations of a honeycomb iridate, and opens new experimental avenues to detect itinerant Majorana fermions in condensed matter systems.