bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards a more nuanced conceptualisation of differential examiner stringency in OSCEs
Authors: Homer Matt 
Published: October 2023

AbstractQuantitative measures of systematic differences in OSCE scoring across examiners (often termed examiner stringency) can threaten the validity of examination outcomes. Such effects are usually conceptualised and operationalised based solely on checklist/domain scores in a station, and global grades are not often used in this type of analysis. In this work, a large candidate-level exam dataset is analysed to develop a more sophisticated understanding of examiner stringency. Station scores are modelled based on global grades—with each candidate, station and examiner allowed to vary in their ability/stringency/difficulty in the modelling. In addition, examiners are also allowed to vary in how they discriminate across grades—to our knowledge, this is the first time this has been investigated. Results show that examiners contribute strongly to variance in scoring in two distinct ways—via the traditional conception of score stringency (34% of score variance), but also in how they discriminate in scoring across grades (7%). As one might expect, candidate and station account only for a small amount of score variance at the station-level once candidate grades are accounted for (3% and 2% respectively) with the remainder being residual (54%). Investigation of impacts on station-level candidate pass/fail decisions suggest that examiner differential stringency effects combine to give false positive (candidates passing in error) and false negative (failing in error) rates in stations of around 5% each but at the exam-level this reduces to 0.4% and 3.3% respectively. This work adds to our understanding of examiner behaviour by demonstrating that examiners can vary in qualitatively different ways in their judgments. For institutions, it emphasises the key message that it is important to sample widely from the examiner pool via sufficient stations to ensure OSCE-level decisions are sufficiently defensible. It also suggests that examiner training should include discussion of global grading, and the combined effect of scoring and grading on candidate outcomes.
Compliance to Viral Load Monitoring Schedules Among Women Attending Prevention of Vertical HIV Transmission Services Before and During the COVID-19 Pandemic in Ehlanzeni District, Mpumalanga, South Africa
Authors: Mbira Thandiwe Elsie , Kufa Tendesayi , Sherman Gayle Gillian , Ngandu Nobubelo Kwanele ,   the PHANGISA Study Team
Published: October 2023

AbstractHuman immunodeficiency virus (HIV) viral load (VL) monitoring was likely interrupted during the Coronavirus disease 2019 (COVID-19) pandemic. We used routine data on repeat VL testing among 667 prevention of vertical HIV transmission (PVT) clients in Ehlanzeni district, to determine compliance to VL testing recommendations and associated factors during different time periods: pre-COVID-19, transition, and COVID-19. Descriptive and multivariable Poisson regression analyses were conducted, with and without including revised PVT-guidelines rolled out in January-2020. Among 405 women with ≥ 2 VL tests, the overall median age was 30 years (interquartile range: 26–35 years). Compliance to recommended VL testing guidelines ranged between 81.5% (172/211) and 92.3% (191/207) at different time periods. Across all three periods and when revised PVT-guidelines were used, being compliant was significantly reduced among those with earliest VL = 50–999 copies/ml (incidence rate ratio (IRR) = 0.71 [95% confidence interval (CI) 0.61–0.82], p value < 0.001) and VL ≥ 1000 copies/ml (IRR = 0.18 [95% CI 0.09–0.36], p value < 0.001). When guideline revisions were excluded, compliance was only significantly reduced among those with VL ≥ 1000 copies/ml (IRR = 0.14 [95% CI 0.06–0.32], p value < 0.001) and increased during the COVID-19 period versus pre-COVID-19 (IRR = 1.10 [95% CI 1.05–1.15], p value < 0.001). Similar significant associations between compliance and VL level were observed when the COVID-19 period was analyzed separately. Significantly increased compliance to VL testing among the 25–34 years age-group versus younger women was also observed across all periods. These results highlight the importance of strengthening strategies such as short message service reminders and educational messaging, reaching all age-groups, to fast-track implementation targets for VL monitoring.
Corporate social responsibility and network externalities: a game-theoretic approach
Authors: Buccella Domenico , Fanti Luciano , Gori Luca , Sodini Mauro 
Published: October 2023

AbstractThis research revisits the pioneering work by Katz and Shapiro (Am Econom Rev 75:424–440, 1985) with network (consumption) externalities in a twofold way: first, it considers Corporate Socially Responsible (CSR), instead of profit-maximising, firms; second, it uses a game-theoretic approach and analyses the commitment decision game in which firms face the binary choice to credibly commit ($$C$$
C
) or not to commit ($$NC$$

NC

) themselves to an announced output level in the first decision-making stage. Competition at the market stage occurs à la Cournot. Results show a rich spectrum of sub-game perfect Nash equilibrium (SPNE) outcomes, ranging from the prisoner’s dilemma (self-interest and mutual benefit of output commitment conflict) to the anti-prisoner’s dilemma or deadlock (self-interest and mutual benefit of output commitment do not conflict), passing from the coordination to the anti-coordination game. These outcomes depend on the intensity of the social concern in the firm’s objective and the network size. The article also pinpoints the welfare outcomes corresponding to the SPNE and extends the analysis to a Stackelberg rivalry setting.
Impact of Local Terrain Features on Urban Airflow
Authors: Coburn Matthew , Vanderwel Christina , Herring Steven , Xie Zheng-Tong 
Published: October 2023

AbstractPast work has shown that coupling can exist between atmospheric air flows at street scale (O(0.1 km)) and city scale (O(10 km)). It is generally impractical at present to develop high-fidelity urban simulations capable of capturing such effects. This limitation imposes a need to develop better parameterisations for meso-scale models but an information gap exists in that past work has generally focused on simplified urban geometries and assumed the buildings to be on flat ground. This study aimed to begin to address this gap in a systematic way by using the large eddy simulation method with synthetic turbulence inflow boundary conditions to simulate atmospheric air flows over the University of Southampton campus. Both flat and realistic terrains were simulated, including significant local terrain features, such as two valleys with a width about 50 m and a depth about average building height, and a step change of urban roughness height. The numerical data were processed to obtain averaged vertical profiles of time-averaged velocities and second order turbulence statistics. The flat terrain simulation was validated against high resolution particle image velocimetry data, and the impact of uncertainty in defining the turbulence intensity in the synthetic inflow method was assessed. The ratio between realistic and flat terrains of time-mean streamwise velocity at the same ground level height over a terrain crest location can be >2, while over a valley trough it can be <0.5. Further data analysis conclusively showed that the realistic terrain can have a considerable effect on global quantities, such as the depth of the spanwise-averaged internal boundary layer and spatially-averaged turbulent kinetic energy. These highlight the potential impact that local terrain features (O(0.1 km)) may have on near-field dispersion and the urban micro-climate.
The impact of histologic subtype on primary site surgery in the management of metastatic lobular versus ductal breast cancer: a population based study from the National Cancer Database (NCDB)
Authors: Rothschild Harriet T , Clelland Elle N , Abel Mary Kathryn , Chien A Jo , Shui Amy M , Esserman Laura , Khan Seema A , Mukhtar Rita A 
Published: October 2023

Abstract
Purpose
Primary site surgery for metastatic breast cancer improves local control but does not impact overall survival. Whether histologic subtype influences patient selection for surgery is unknown. Given differences in surgical management between early-stage lobular versus ductal disease, we evaluated the impact of histology on primary site surgery in patients with metastatic breast cancer.

Methods
The National Cancer Database (NCDB, 2010–2016) was queried for patients with stage IV HR-positive, HER2-negative invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC). We compared clinicopathologic features, primary site surgery rates, and outcomes by histologic subtype. Multivariable Cox proportional hazard models with and without propensity score matching were used for overall survival (OS) analyses.

Results
In 25,294 patients, primary site surgery was slightly but significantly less common in the 6,123 patients with ILC compared to the 19,171 patients with IDC (26.9% versus 28.8%, p = 0.004). Those with ILC were less likely to receive chemotherapy (41.3% versus 47.4%, p < 0.0001) or radiotherapy (29.1% versus 37.9%, p < 0.0001), and had shorter OS. While mastectomy rates were similar, those with ILC who underwent lumpectomy had significantly higher positive margin rates (ILC 15.7% versus IDC 11.2%, p = 0.025). In both groups, the odds of undergoing surgery decreased over time, and were higher in younger patients with T2/T3 tumors and higher nodal burden.

Conclusion
Lobular histology is associated with less primary site surgery, higher positive margin rates, less radiotherapy and chemotherapy, and shorter OS compared to those with HR-positive HER2-negative IDC. These findings support the need for ILC-specific data and treatment approaches in the setting of metastatic disease.
Technical leverage analysis in the Python ecosystem
Authors: Paramitha Ranindya , Massacci Fabio 
Published: October 2023

Abstract
Context:
Technical leverage is the ratio between dependencies (other people’s code) and own codes of a software package. It has been shown to be useful to characterize the Java ecosystem and there are also studies on the NPM ecosystem available.

Objective:
By using this metric we aim to analyze the Python ecosystem, how it evolves, and how secure it is, as a developer would perceive it when deciding to adopt or update (or not) a library.

Method:
We collect a dataset of the top 600 Python packages (corresponding to 21,205 versions) and used a number of innovative approaches for its analysis including the use of a two-part statistical model to deal with excess zeros, a mathematical closed formulation to estimate vulnerabilities that we confirm with bootstrapping on the actual dataset.

Results:
Small Python package versions have a median technical leverage of 6.9x their own code, while bigger package versions rely on dependencies code a tenth of their own (median leverage of 0.1). In terms of evolution, Python packages tend to have stable technical leverage through their evolution (once highly leveraged, always leveraged). On security, the chance of getting a safe package version when choosing a package is actually better than previous research has shown based on the ratio of safe package versions in the ecosystem.

Coclusions:
Python packages ship a lot of other people’s code and tend to keep doing so. However, developers will have a good chance to choose a safe package version.
Wissenschaftsfreiheit, Moralische Kritik und die Kosten des Irrtums
Authors: Henning Tim 
Published: October 2023

AbstractThis article attempts to do justice to two conflicting positions in current public debates. On the one hand, it defends a strong version of scientific freedom, according to which science should be free, not only from external obstacles and pressures but also from criticism that is based on reasons “of the wrong kind.” The only admissible criterion in debates about scientific claims, I argue, is whether there is sufficient evidence for their truth. Furthermore, I accept the anti-moralistic view that (non-)conformity with moral ideals is never itself evidence. On the other hand, the article nevertheless argues that there is a possibility of legitimate moral criticism of moral claims. This argument relies on the popular (if controversial) idea that there is pragmatic encroachment – specifically, the idea that the standard of sufficiency for evidence is in part determined by pragmatic factors like the costs of error. This opens up the door for a certain type of legitimate moral criticism. For the costs that determine a standard of sufficiency for epistemic justification can also plausibly count as morally significant. There is thus a con-contingent connection between epistemic and moral defects of certain scientific claims. The resulting view is applied to concrete debates, most importantly about race, genetics and IQ.
Behavioural consistency across metamorphosis in a neotropical poison frog
Authors: Bégué Lauriane , Tschirren Noëlle , Peignier Mélissa , Szabo Birgit , Ringler Eva 
Published: October 2023

AbstractAnimals often show consistency in their behavioural repertoire across time and/or contexts that differs from other individuals of the same population, i.e. animal personality. We currently have quite an incomplete understanding of the factors that lead to behavioural traits remaining stable – or becoming decoupled – over an animal’s lifetime. In this study, we investigated the role of metamorphosis in the development of animal personality in a Neotropical poison frog, a species that undergoes drastic morphological and ecological changes during its development. We used lab-reared individuals of the brilliant-thighed poison frog Allobates femoralis to assess if consistent individual differences are already present at the tadpole stage, and if these differences are maintained throughout metamorphosis. We found evidence for two personality traits, exploration and boldness, already present in A. femoralis tadpoles. Despite the drastic changes in morphology, physiology, and habitat in the transition from tadpoles to metamorphs, personality traits persisted throughout metamorphosis, suggesting a physiological and/or genetic basis for the measured behavioural traits. We also found that exploration and boldness related behaviours were correlated with growth speed. Very bold and explorative individuals took fewer days until metamorphosis compared to very shy and non-explorative ones, which is in line with the concept of a Pace-of-Life Syndrome. These findings provide important insights into the proximate mechanisms that generate personality in species with complex life cycles.
Chemically imidized semi-alicyclic polyimides: the effect of catalyst type and imidization temperature
Authors: Šimonová Zuzana Frances , Machotová Jana , Zelenka Jiří , Vlček Miroslav , Šimon Pavel 
Published: October 2023

AbstractPolyimides are a group of polymers with excellent thermal and mechanical properties. However, generally, they exhibit brown coloration due to charge transfer interactions between diamine donor and dianhydride acceptor moieties. In this study, semi-alicyclic polyimides derived from cyclohexane tetracarboxylic dianhydride and 4,4′-oxydianiline were prepared using a two-step method, where the imidization step proceeded via a chemical route. The effects of the catalyst type (quinoline, triethylamine, and 1,4-diazabicyclo(2.2.2)octane (DABCO)) and reaction temperature (120, 140, and 160 °C) on the imidization process were evaluated using infrared spectroscopy and nuclear magnetic resonance spectroscopy. The prepared polyimides' thermal, mechanical, and optical properties were compared with those synthesized via standard thermal imidization. Polyimide films possessing favorable mechanical properties, thermal stability, and good optical transparency were prepared via a simple preparation route based on chemical imidization using the triethylamine catalyst at the reaction temperature of 160 °C, which was shown to be a promising way for the PI preparation on an industrial scale.
Graphical abstract
Relationships between elementary mathematics specialist certification, knowledge, beliefs, and classroom learning environments
Authors: Webel Corey , Tarr James , Austin Christopher , Yeo Sheunghyun , Shim Hyejin 
Published: October 2023

AbstractWe report on the differences in mathematics learning environments in classes taught by certified Elementary Math Specialists (EMSs) (n = 28) and their peers (n = 33) as determined by observations of instruction. We used path analysis to examine how variables such as mathematical knowledge for teaching, beliefs, and background characteristics were related to the learning environment. We used the Classroom Learning Environment Measure (CLEM) observation protocol, which attends to aspects of mathematics lessons such as opportunities for students to justify their reasoning and attend to mathematical concepts. Our analysis revealed that learning environments incorporating such elements were significantly more prevalent in classes taught by EMSs, and that there were two paths indicating mediation effects on the relationship between EMS status and learning environment. One path was related to teachers’ beliefs about the primacy of computation in learning mathematics; the other path was related to teachers’ mathematical knowledge for teaching and their beliefs about the extent to which mathematical knowledge is constructed by the learner. We share implications for EMS programs and recommendations for future research on the impact of EMSs in elementary schools.
True intratracheal oxygen concentration delivered by SentriO Oxy™ masks under various respiratory conditions: a bench study
Authors: Chiang Cheng , Teng Wei-Nung , Chiang Ting-Yun , Huang Chao-Lan , Lin Shi-Pin , Chang Wen-Kuei , Ting Chien-Kun 
Published: October 2023

AbstractSentriO Oxy™ is a newly available, Food and Drug Administration-approved oxygenation mask system that provides high oxygenation, even on low-flow (5–10 L/min) oxygen. This study aimed to accurately measure the intratracheal fraction of inspired oxygen (FiO2) using SentriO Oxy™ masks under relatively low oxygen flow rates. A manikin-ventilator-test lung simulation system was used. We measured FiO2 at the level of the carina, 5 minutes after applying 45 different respiratory parameter combinations using SentriO Oxy™ masks. Tidal volume (TV) was set to 300, 500, and 700 mL; respiratory rate (RR) was set to 8, 12, 16, 20, and 24 breaths per minute; and oxygen flow rate was set to 6, 8, and 10 L/min. Our hypothesis was that FiO2 would be proportional to the difference between oxygen flow rate and minute ventilation. FiO2 measured by smaller TV, lower RR, or higher oxygen flows revealed a significantly higher value, confirming our hypothesis. In addition, using linear regression analysis, we found that TV, RR, and oxygen flow were all significant factors influencing the measured FiO2. Our experiment proposed two prediction equations considering the oxygen flow rate, TV, and RR. The results of our study may provide information and prediction of FiO2 for clinicians to use SentriO Oxy™ masks during sedative anesthetic procedures under low oxygen flow rates.
Can Eucalyptus plantations influence the distribution range of mesocarnivores?
Authors: Teixeira Daniela F. , Carpio Antonio J. , Rosalino Luís Miguel , Carniato Davide , Fonseca Carlos , Acevedo Pelayo 
Published: October 2023

Abstract
Context
The expansion of exotic plantations can impose conservation challenges on wildlife, and the Iberian Peninsula has one of the widest planted areas of exotic Eucalyptus sp. in Europe. Since mesocarnivores are pivotal elements of ecosystems’ functioning and Eucalyptus have been modifying the Portuguese landscape context in the last half century, it is crucial to understand how these systems may affect carnivores’ range.

Objectives
We aim to identify the drivers of five mesocarnivores’ distribution in Portugal (e.g., land-cover, ecogeographic predictors, mammal prey availability) and understand the influence of Eucalyptus plantations in their distribution range.

Methods
Using generalized linear models, we modelled the distribution range of mesocarnivores. The initial dataset was randomly split for model training and validation, and the multicollinearity between the predictors was tested. Then, we examined the potential relationship between the
Eucalyptus plantations area and the predicted probability presence of each species.

Results
We detected species-specific patterns explained by different drivers, including climatic, land cover and mammal prey related ones. Furthermore, in areas of Eucalyptus plantations, the probability of occurrence of most Portuguese mesocarnivores is lower: red fox,stone marten,European badger, and Egyptian mongoose.

Conclusions
Managers must take action to adapt their management to promote native forest patches within plantation, and allow the development of some understory within stands, to improve this plantation’s permeability to mesocarnivores. This will increase the spatial heterogeneity and enhance resource availability, reducing the constraints that plantations might have on the range of mesocarnivores in Portugal.
Friction modelling and the use of a physics-informed neural network for estimating frictional torque characteristics
Authors: Olejnik Paweł , Ayankoso Samuel 
Published: October 2023

AbstractThis paper presents an exploration of friction modeling encompassing theoretical and practical aspects, utilizing a planar or 2D contact system. Various white-box friction models, including static and dynamic variants, are introduced, highlighting the superior capability of dynamic models in comprehensively capturing friction effects, substantiated through numerical simulation. Practical aspects of friction measurement and data-driven friction modeling are elucidated. The discourse extends to the development of grey-box and black-box friction models. A significant contribution lies in the proposition of a physics-informed neural network-based friction modeling approach, presenting it as an advanced and preferable alternative for friction estimation. To exemplify its efficacy, a case study of a torsion-based frictional contact scenario, employing Physics-Informed Neural Network (PINN) and the Nelder–Mead (N–M) algorithm for concurrent dynamics and friction model identification, was examined. Experimental data from a double torsion pendulum system, characterized by discontinuous dynamics, is employed for training. Results demonstrate the PINN’s superiority, providing more accurate representation of stick–slip phases at the contact zone and exhibiting faster performance compared to the N–M algorithm. The paper concludes by deliberating on challenges, prospects, and future directions in friction modeling.