bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of a Heuristic Framework for Multilevel Interventions to Eliminate the Impact of Unjust Social Processes and Other Harmful Social Determinants of Health
Authors: Guilamo-Ramos Vincent , Thimm-Kaiser Marco , Benzekri Adam , Johnson Celia , Williams Desiree , Wilhelm-Hilkey Nash , Goodman Melody , Hagan Holly 
Published: April 2024

AbstractThere is consensus about the importance of developing a strong cadre of effective multilevel interventions to eliminate the impacts of unjust social processes, such as structural racism and other harmful social determinants of health (SDOH), on health inequities in the USA. However, the available cadre of rigorously evaluated evidence-based interventions for SDOH mitigation remains underdeveloped relative to the magnitude of historic and current health inequities. The proposed manuscript addresses this gap in two ways: first, by introducing a heuristic framework to inform decisions in multilevel intervention development, study design, and selection of analytic methods and, second, by providing a roadmap for future applications of the framework in multilevel intervention research through an exemplar application using the ongoing NIH-funded evaluation study of the Nurse-Community-Family Partnership (NCFP) intervention. NCFP leverages individual, family, institutional, and system factors to shape COVID-19 mitigation outcomes at the individual and household levels. NCFP takes an approach informed by the heuristic framework to addressing and mitigating unjust social processes and other harmful SDOH. We discuss the application of a two-arm parallel explanatory group randomized trial to evaluate the efficacy of NCFP in improving the primary (COVID-19 testing uptake) and secondary (adoption of COVID-19 control measures, COVID-19 vaccine uptake, mutual aid capacity, etc.) outcomes at the individual and household levels. The analysis approach relies on random-intercept models, and we calculate the variance partitioning coefficient to estimate the extent to which household- and individual-level variables contribute to the outcome, allowing examination of NCFP effects at multiple levels.
Diet and habitat as determinants of intestine length in fishes
Authors: Duque-Correa Maria J. , Clements Kendall D. , Meloro Carlo , Ronco Fabrizia , Boila Anna , Indermaur Adrian , Salzburger Walter , Clauss Marcus 
Published: April 2024

AbstractFish biologists have long assumed a link between intestinal length and diet, and relative gut length or Zihler’s index are often used to classify species into trophic groups. This has been done for specific fish taxa or specific ecosystems, but not for a global fish dataset. Here, we assess these relationships across a dataset of 468 fish species (254 marine, 191 freshwater, and 23 that occupy both habitats) in relation to body mass and fish length. Herbivores had significantly relatively stouter bodies and longer intestines than omni- and faunivores. Among faunivores, corallivores had longer intestines than invertivores, with piscivores having the shortest. There were no detectable differences between herbivore groups, possibly due to insufficient understanding of herbivorous fish diets. We propose that reasons for long intestines in fish include (i) difficult-to-digest items that require a symbiotic microbiome, and (ii) the dilution of easily digestible compounds with indigestible material (e.g., sand, wood, exoskeleton). Intestinal indices differed significantly between dietary groups, but there was substantial group overlap. Counter-intuitively, in the largest dataset, marine species had significantly shorter intestines than freshwater fish. These results put fish together with mammals as vertebrate taxa with clear convergence in intestine length in association with trophic level, in contrast to reptiles and birds, even if the peculiar feeding ecology of herbivorous fish is probably more varied than that of mammalian herbivores.
Statutory Interpretation and Levels of Conceptual Categorisation: The Presumption of Legal Language Explained in Terms of Cognitive Linguistics
Authors: Wojtczak Sylwia , Zeifert Mateusz 
Published: April 2024

AbstractThis article probes the usefulness of selected theories from Cognitive Linguistics in the context of statutory interpretation. The presumption of legal language is a well-established rule of statutory construction in Polish legal practice that comes from the internationally recognised theory by Jerzy Wróblewski. It rests on a controversial assumption that there are different levels of generality in legal language (i.e. the language of statutes) and a single term may be given different meanings depending on the level of generality that is referred to. The authors use the notion of basic level categorisation from the cognitive theory of prototypes to explain this mechanism. Legal concepts, not unlike ordinary concepts, form hierarchical taxonomies. A single term may denote concepts that are situated at different levels in different conceptual taxonomies. In the absence of special circumstances, a legal term should be given the meaning that resides at a higher level of categorisation in the respective legal taxonomy. This way, the presumption of legal language is found to be justified on both linguistic and psychological grounds.
Lagrangian possibilities
Authors: Ruyant Quentin , Guay Alexandre 
Published: April 2024

AbstractNatural modalities are often analysed from an abstract point of view where they are associated with putative laws of nature. However, the way possibilities are represented in physics is more complex. Lagrangian mechanics, for instance, involves two different layers of modalities: kinematical and dynamical possibilities. This paper examines the status of these two layers, both in the classical and quantum case. The quantum case is particularly problematic: we identify four possible interpretive options. The upshot is that a close inspection of the way possibilities are represented in physics could lead to new ways of thinking about natural modalities.
Joint Attention: The PAIR Account
Authors: Schmitz Michael 
Published: April 2024

AbstractIn this paper I outline the PAIR account of joint attention as a perceptual-practical, affectively charged intentional relation. I argue that to explain joint attention we need to leave the received understanding of propositions and propositional attitudes and the picture of content connected to it behind and embrace the notions of subject mode and position mode content. I also explore the relation between joint attention and communication.
Real Feeling and Fictional Time in Human-AI Interactions
Authors: Krueger Joel , Roberts Tom 
Published: April 2024

AbstractAs technology improves, artificial systems are increasingly able to behave in human-like ways: holding a conversation; providing information, advice, and support; or taking on the role of therapist, teacher, or counsellor. This enhanced behavioural complexity, we argue, encourages deeper forms of affective engagement on the part of the human user, with the artificial agent helping to stabilise, subdue, prolong, or intensify a person’s emotional condition. Here, we defend a fictionalist account of human/AI interaction, according to which these encounters involve an elaborate practise of imaginative pretence: a make-believe in which the artificial agent is attributed a life of its own. We attend, specifically, to the temporal characteristics of these fictions, and to what we imagine artificial agents are doing when we are not looking at them.
Overlapping Functions: Volunteering and Other Forms of Civic Participation in the COVID-19 Disaster
Authors: Wong Kang Li 
Published: April 2024

AbstractFunctional motivations are closely linked to important volunteer outcomes, yet more socio-political forms of civic participation (CP) besides volunteering are growing. There is little attention on the applicability of functional motivations to such CP, including in disasters. Using a critical realist grounded theory methodology, 39 in-depth interviews were conducted with Singapore residents who had engaged in a diverse range of CP before and during COVID-19. A key mechanism, fulfilling personal functions, was found to relate to functional motivations. Overlapping functions were found, but there are differences in how these functions were fulfilled depending on the form of CP.Perceived accessibility, the subjective mental state about one’s potential to engage, mediated the effectuation of motivations in actual engagement. COVID-19 contributed to emergent CP by increasingperceived accessibility. Participating citizens pre-COVID-19 made adaptations to maintainperceived accessibilityto continue CP during the pandemic. These theoretical developments inform policy and research agenda in understanding and leveraging CP.
Effects of subgrade spatial variability on critical strains and effectiveness of geogrid reinforcement in flexible pavement
Authors: Xiao Li , Xue Jianfeng 
Published: April 2024

AbstractThe objective of this study is to assess the impact of spatial variability in the subgrade layer on the critical response of pavements and the effectiveness of geogrid reinforcement, employing the random field finite difference analysis (RFFDA). A comprehensive parametric study was conducted to examine the influence of two crucial factors: the coefficient of variation ($${{\text{COV}}}_{E}$$

COV
E

) and scale of fluctuation (SOF) of the subgrade modulus. Further investigation was conducted to uncover the statistical and mechanical mechanisms underlying the impact of subgrade spatial variability with emphasis on the critical strain distributions and their correlation with both the overall modulus and the local spatial variability of the key influence zone. Furthermore, this study explored the influence of subgrade spatial variability on the effectiveness of geogrid in reducing critical strains, considering various placement positions and geogrid moduli. The following main conclusions are drawn: (a) subgrade spatial variability has a substantial amplifying effect on critical pavement strains due to low modulus dominating effect, (b) there exists a worst value of SOF that results in the most unfavorable statistics of critical subgrade strain, (c) the effect of subgrade spatial variability on critical subgrade strain is more pronounced compared to its effect on critical asphalt strain, (d) the mean value of critical subgrade strain in RFFDA can be significantly underestimated when assuming fixed location for the strain, and (e) the effectiveness of geogrid in reducing critical strains is impacted by subgrade spatial variability, with the impact varying with the type of critical strain and geogrid location. Specifically, when placed at the base course–subgrade interface, the ability of geogrid to reduce critical subgrade strain is significantly compromised due to the subgrade spatial variability.
Teledidactic Versus Hands-on Teaching of Abdominal, Thoracic, and Thyroid Ultrasound—The TELUS II Study
Authors: Höhne E. , Recker F. , Brossart P. , Schäfer V. S. 
Published: April 2024

Abstract
Background
The worldwide COVID-19 pandemic has initiated a change in medical education and the development of new teaching concepts has become inevitable to maintain adequate training.

Objective
This pilot study aims to compare teledidactic teaching with traditional face-to-face teaching for abdominal, thoracic, and thyroid ultrasound.

Design
Concurrently, a teledidactic and a face-to-face ultrasound course were held. The students completed seven 90-min modules using mobile ultrasound probes (Butterfly IQ). Each module consisted of a lecture, a demonstration of probe guidance, and independent training.

Participants
A total of thirty medical students took part in the study and were randomly assigned to a teledidactic and a face-to-face group.

Main Measures
An objective structured assessment of ultrasound skills (OSAUS) was performed as a pre-test and as the final exam and ultrasound images obtained during the exam were evaluated using the brightness mode quality ultrasound imaging examination (B-QUIET) scale.

Key Results
No significant difference between the two cohorts on the OSAUS final exam was shown (p > 0.05 in all modules). There was a significant difference in the assessment of the images in the focused assessment with sonography for trauma (FAST) (p 0.015) and aorta (p 0.017) modules. Students in the teledidactic group performed better in both modules, scoring 33.59 (± 2.61) out of 44 in the module FAST (face-to-face group 30.95 (± 1.76)) and aortic images averaged 35.41 (± 2.61) points (face-to-face group 32.35 (± 3.08)).

Conclusions
A teledidactic course for abdominal and thoracic ultrasound examinations is equally effective to traditional face-to-face teaching in this pilot study. Digital implementation with a portable ultrasound machine could be a great opportunity to promote ultrasound education worldwide and over great distances.
Prospective secondary teachers’ noticing of students’ thinking about the limit concept: pathways of development
Authors: Fernández Ceneida , Moreno Mar , Sánchez-Matamoros Gloria 
Published: April 2024

AbstractResearch has shown that there is a need to examine prospective teachers’ development trajectories related to noticing expertise. An important content in the Spanish high school curriculum (16–18 years old) is the limit concept. Given the importance of this concept in the curriculum and the difficulties some prospective teachers have, developing their noticing of students’ mathematical thinking of this concept in teacher education programs is crucial to achieve high school student mathematics achievement. This study examines how prospective secondary school mathematics teachers (PTs) notice students’ mathematical thinking about the limit concept as they participated in a teaching module. PTs had to anticipate and interpret students’ mathematical understanding and make instructional decisions to support students’ conceptual progression using information about high school students’ understanding of the limit concept. We examined PTs changes related to how they anticipated, interpreted and made instructional decisions during the teaching module. We identified a change in how PTs conceived the understanding of the dynamic limit concept: from all-or-nothing dichotomy to progression; and a change in the instructional decisions they made: from decisions focused on changing the type of discontinuity to conceptual decisions. These changes allow us to characterise development noticing pathways. Our findings also help to identify the teaching module characteristics that support the development of PTs noticing.
Forwards Attractor Structures in a Planar Cooperative Non-autonomous Lotka–Volterra System
Authors: Garcia-Fuentes Juan , Kalita Piotr , Langa José A. 
Published: April 2024

AbstractThe global attractor of a dissipative dynamical system provides the necessary information to understand the asymptotic dynamics of all the system’s solutions. A crucial question consists in finding the structure of this set. In this paper we provide a full characterization of the structure of attractors for a planar non-autonomous Lotka–Volterra cooperative system. We show sufficient conditions for the existence of forward attractors and give a full description of them by proving the existence of such bounded global solutions that all bounded global solutions join them, i.e. converge towards them when time tends to plus and minus infinity. These results generalize those known in an autonomous framework. The case of particular interest in our work is the situation where globally forward-stable non-autonomous solutions have both coordinates strictly positive. We study this case in detail and obtain sufficient conditions that the problem parameters must satisfy in order to obtain various structures of non-autonomous attractors. This allows us to understand different paths of the solutions towards the unique globally stable one.
Empirical Enhancement of Intrusion Detection Systems: A Comprehensive Approach with Genetic Algorithm-based Hyperparameter Tuning and Hybrid Feature Selection
Authors: Bakır Halit , Ceviz Özlem 
Published: April 2024

AbstractMachine learning-based IDSs have demonstrated promising outcomes in identifying and mitigating security threats within IoT networks. However, the efficacy of such systems is contingent on various hyperparameters, necessitating optimization to elevate their performance. This paper introduces a comprehensive empirical and quantitative exploration aimed at enhancing intrusion detection systems (IDSs). The study capitalizes on a genetic algorithm-based hyperparameter tuning mechanism and a pioneering hybrid feature selection approach to systematically investigate incremental performance improvements in IDS. Specifically, our work proposes a machine learning-based IDS approach tailored for detecting attacks in IoT environments. To achieve this, we introduce a hybrid feature selection method designed to identify the most salient features for the task. Additionally, we employed the genetic algorithm (GA) to fine-tune hyperparameters of multiple machine learning models, ensuring their accuracy in detecting attacks. We commence by evaluating the default hyperparameters of these models on the CICIDS2017 dataset, followed by rigorous testing of the same algorithms post-optimization through GA. Through a series of experiments, we scrutinize the impact of combining feature selection methods with hyperparameter tuning approaches. The outcomes unequivocally demonstrate the potential of hyperparameter optimization in enhancing the accuracy and efficiency of machine learning-based IDS systems for IoT networks. The empirical nature of our research method provides a meticulous analysis of the efficacy of the proposed techniques through systematic experimentation and quantitative evaluation. Consolidated in a unified manner, the results underscore the step-by-step enhancement of IDS performance, especially in terms of detection time, substantiating the efficacy of our approach in real-world scenarios.
Predictive performance of NEWS and qSOFA in immunocompromised sepsis patients at the emergency department
Authors: Boekhoud Lisanne , Schaap Helena M. E. A. , Huizinga Rick L. , Olgers Tycho J. , ter Maaten Jan C. , Postma Douwe F. , Bouma Hjalmar R. 
Published: April 2024

Abstract
Purpose
Sepsis has a high incidence and a poor prognosis. Early recognition is important to facilitate timely initiation of adequate care. Sepsis screening tools, such as the (quick) Sequential Organ Failure Assessment ((q)SOFA) and National Early Warning Score (NEWS), could help recognize sepsis. These tools have been validated in a general immunocompetent population, while their performance in immunocompromised patients, who are particularly at risk of sepsis development, remains unknown.

Methods
This study is a post hoc analysis of a prospective observational study performed at the emergency department. Inclusion criteria were age ≥ 18 years with a suspected infection, while ≥ two qSOFA and/or SOFA criteria were used to classify patients as having suspected sepsis. The primary outcome was in-hospital mortality.

Results
1516 patients, of which 40.5% used one or more immunosuppressives, were included. NEWS had a higher prognostic accuracy as compared to qSOFA for predicting poor outcome among immunocompromised sepsis patients. Of all tested immunosuppressives, high-dose glucocorticoid therapy was associated with a threefold increased risk of both in-hospital and 28-day mortality.

Conclusion
In contrast to NEWS, qSOFA underestimates the risk of adverse outcome in patients using high-dose glucocorticoids. As a clinical consequence, to adequately assess the severity of illness among immunocompromised patients, health care professionals should best use the NEWS.
Computational Thinking in Secondary Mathematics Education with GeoGebra: Insights from an Intervention in Calculus Lessons
Authors: Chytas Christos , van Borkulo Sylvia Patricia , Drijvers Paul , Barendsen Erik , Tolboom Jos L. J. 
Published: April 2024

AbstractNowadays, mathematics teachers in K–12 strive to promote their students‘ mathematical knowledge and computational thinking (CT) skills. There is an increasing need for effective CT-embedded mathematics learning material and a better understanding of students’ views toward them. In this work, we present the results of a research study, which included the design of a six-lesson learning activity aimed at fostering 16- to 17-year-old secondary students’ CT skills in calculus lessons using the dynamic mathematics software GeoGebra. Our goal was to investigate how students experienced the CT-embedded calculus lessons with GeoGebra and what challenges they faced during their interaction with the learning material and software. We collected and analyzed data from students’ code in GeoGebra, workbooks, semi-structured interviews, and questionnaires. Our findings suggest that most students mastered using CT concepts in calculus activities to a satisfactory degree and could reason about their computational solutions using GeoGebra and the generated graphs. Students’ understanding of the mathematical content knowledge introduced was essential to complete the lesson series successfully and unnoticed gaps in prior knowledge emerged. Our study shows that students appreciate the CT-embedded calculus lessons and GeoGebra’s exploratory approach to mathematics problems when provided with appropriate support. We conclude that an integrated approach to mathematics education and CT is viable and can contribute not only to fostering CT but also to increasing interest in mathematics.
Three-Dimensional Nano-displacement Measurement by Four-Beam Laser Interferometry
Authors: Zhang Xu , Wang Zi , Liu Mengnan , Song Zhengxun , Wang Zuobin , Dong Litong 
Published: April 2024

AbstractA 3D nano-displacement measurement method, where the difference in phase between the beams in a four-beam laser interference is changed, is proposed. Simulation results demonstrate that the variation of phase difference causes the deviation of the interference pattern in the laser interference system. Based on this theory, we design and build a four-beam laser interference system. The corner cube prism in the optical path is shifted, and the phase of the beam is changed by applying different voltages to a piezoelectric stage. The phase difference is obtained by analyzing the lattice pattern with subpixel precision, and then the displacement is determined by correlation operation. The experimental measurement results are consistent with the theoretical analysis, thereby verifying the feasibility of this measurement method.