bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preventability of injury‐related morbidity & mortality at four hospitals in Cameroon: A systematic approach to trauma quality improvement
Authors: Zheng Dennis J. , Mbuh Lidwine Nsen , Oke Rasheedat , Tanjong Signe Mary Magdalene , Carvalho Melissa , Herman Banaken Louis , Guidam Débora , Mbengawoh Ndiformuche Zikirou , Nlong Mang René , Dissak‐Delon Fanny Nadia , Christie S. Ariane , Chichom‐Mefire Alain , Juillard Catherine 
Published: August 2024

AbstractBackgroundAdverse events reviews are a fundamental component of trauma quality improvement (QI) that facilitate the correction of systemic issues in care. Although injury‐related mortality in Cameroon is substantial, to our knowledge, opportunities for QI have not been formally assessed. Thus, a formal review of adverse events in Cameroonian trauma patients was implemented as a first step toward identifying targets for systems modification.MethodsA QI committee composed of multidisciplinary experts at four hospitals in Cameroon was formed to review adverse events including deaths among trauma patients from 2019 to 2021. Events were discussed at newly established morbidity and mortality conferences and committee meetings to identify contributing factors and overall preventability.ResultsDuring 50 meetings, 95 adverse events were reviewed, including 58 deaths (61%). Other adverse events were delays in diagnosis/treatment (22%) and surgical site infections (17%). Overall, 34 deaths (59%) were classified as preventable, 21% potentially preventable, and 21% not preventable. Over half (52%) of the 46 preventable or potentially preventable deaths occurred in the emergency department (ED); while brain injury (57%), respiratory failure (41%), and hemorrhage (39%) were the most frequent physiologic factors associated with mortality. Contributory factors identified include lack of a structured approach to patient management, absence of continuous training for personnel, and locally adapted protocols.ConclusionsBasic improvements in evaluation and management of life‐threatening issues in the ED can significantly reduce the high rate of preventable trauma‐related deaths across Cameroon. Formal trauma QI methods can be utilized in low‐resource environments to determine mortality root causes and identify intervention targets.
Exploring the influence of morphology on magnetized Ree–Eyring tri‐hybrid nanofluid flow between orthogonally moving coaxial disks using artificial neural networks with Levenberg–Marquardt scheme
Authors: Rauf Abdul , Khan Hafiza Khadija , Shah Nehad Ali 
Published: August 2024

AbstractThe present study presents an analysis of Ree–Eyring tri‐hybrid nanofluid flow between two expanding/contracting disks with permeable walls by applying the computing power of Levenberg–Marquardt supervised neural networks (LM‐SNNs). The effects of thermal radiation, Brownian motion, and thermophoresis were also thoroughly examined. The results are presented for tri‐hybrid nanofluid with SWCNT and MWCNT and Fe2O3 and H2O base fluid. The coupled non‐linear PDE system is transformed into a system of ODE associated with convective boundary conditions by applying the appropriate transformations. This is then accomplished numerically by using the finite difference‐based BVP‐4c MATLAB code that implements the three‐stage Lobatto IIIA formula. The results are novel and have been validated with LM‐SNNs outcomes. It has been observed that both numerical outcomes and LM‐SNNs produce equivalent results, and both approaches exhibit a drop in the velocity profile for the magnetic field near the lower plate and a rise near the upper plate. The skin friction against the Prandtl number increases, whereas the Nusselt number decreases at the upper disc. Compared to BVP‐4c numerical approaches, the given LM‐SNNs model is more dependable, efficient, and time‐saving because it requires less work and produces results quickly.
Achievement Sets of Series in $$\mathbb {R}^2$$
Authors: Kula Mateusz , Nowakowski Piotr 
Published: August 2024

AbstractWe examine the properties of achievement sets of series in $$\mathbb {R}^2$$

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2

. We show several examples of unusual sets of subsums on the plane. We prove that we can obtain any set of P-sums as a cut of an achievement set in $$\mathbb {R}^2.$$

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2

.

We introduce a notion of the spectre of a set in an Abelian group, which is an algebraic version of the notion of the center of distances. We examine properties of the spectre and we use it, for example, to show that the Sierpiński carpet is not an achievement set of any series.
Conformal test martingales for hypergraphical models
Authors: Nouretdinov Ilia 
Published: August 2024

AbstractIn this work, we study applications of the Conformal Prediction machine learning framework to the questions of statistical data testing. This technique is also known as Conformal Test Martingales. Earlier works on this topic used it to detect deviations from exchangeability assumptions (such as change points). Here we move to test popular hypergraphical models. We adopt and compare two versions of Conformal Testing Martingales. First: testing the data against exchangeability assumption, but using the elements of hypergraphical model for setting its parameters. Second: combining Conformal Testing Martingale with Hypergraphical On-Line Compression Models. The latter is an extension of the Conformal Prediction technique beyond exchangeability.We show how these approaches help to accelerate the detection of data deviation from i.i.d. by making use of the knowledge about relations between the features embedded into a hypergraphical model.
Classifying proportionality - identification of a legal argument
Authors: Lüders Kilian , Stohlmann Bent 
Published: August 2024

AbstractProportionality is a central and globally spread argumentation technique in public law. This article provides a conceptual introduction to proportionality and argues that such a domain-specific form of argumentation is particularly interesting for argument mining. As a major contribution of this article, we share a new dataset for which proportionality has been annotated. The dataset consists of 300 German Federal Constitutional Court decisions annotated at the sentence level (54,929 sentences). In addition to separating textual parts, a fine-grained system of proportionality categories was used. Finally, we used these data for a classification task. We built classifiers that predict whether or not proportionality is invoked in a sentence. We employed several models, including neural and deep learning models and transformers. A BERT-BiLSTM-CRF model performed best.
Minimal residual disease: premises before promises
Authors: Chin-Yee Benjamin 
Published: August 2024

AbstractMinimal residual disease (MRD), a measure of residual cancer cells, is a concept increasingly employed in precision oncology, touted as a key predictive biomarker to guide treatment decisions. This paper critically analyzes the expanding role of MRD as a predictive biomarker in hematologic cancers. I outline the argument for MRD as a predictive biomarker, articulating its premises and the empirical conditions that must hold for them to be true. I show how these conditions, while met in paradigmatic cases of MRD use in cancer, may not hold across other cancers where MRD is currently being applied, weakening the argument that MRD serves as an effective predictive biomarker across cancer medicine.
How tree species have modified the potentially toxic elements distributed in the developed soil–plant system in a post-fire site in highly industrialized region
Authors: Woś Bartłomiej , Likus-Cieślik Justyna , Pająk Marek , Pietrzykowski Marcin 
Published: August 2024

AbstractThe biogeochemical cycles of trace elements are changed by fire as a result of the mineralization of organic matter. Monitoring the accumulation of trace elements in both the environment and the tree biomass during the post-fire (PF) forest ecosystem regeneration process is important for tree species selection for reforestation in ecosystems under anthropogenic pressure. We analyzed the soil concentrations of different groups of potentially toxic elements (PTEs), including beneficial (Al), toxic (Cd, Cr, Pb), and microelements (Cu, Mn, Ni, Zn), and their bioaccumulation in the tree species (Pinus sylvestris, Betula pendula, Alnus glutinosa) biomass introduced after a fire in a forest weakened by long-term emissions of industrial pollutants. The results indicated no direct threat from the PTEs tested at the PF site. The tree species introduced 30 years ago may have modified the biogeochemical cycles of the PTEs through different strategies of bioaccumulation in the belowground and aboveground biomass. Alder had relatively high Al concentrations in the roots and a low translocation factor (TF). Pine and birch had lower Al concentrations in the roots and higher TFs. Foliage concentrations and the TF of Cd increased from alder to pine to birch. However, the highest concentration and bioaccumulation factor of Cd was found in the alder roots. The concentrations of Cr in the foliage and the Cr TFs in the studied species increased from pine to birch to alder. Higher concentrations of Cu and Ni were found in the foliage of birch and alder than of pine. Among the species, birch also had the highest Pb and Zn concentrations in the roots and foliage. We found that different tree species had different patterns of PTE phytostabilization and ways they incorporated these elements into the biological cycle, and these patterns were not dependent on fire disturbance. This suggests that similar patterns might also occur in more polluted soils. Therefore, species-dependent bioaccumulation patterns could also be used to design phytostabilization and remediation treatments for polluted sites under industrial pressure.
Moral Distress Consultation Services: Insights from Consultants
Authors: Amos Vanessa , Whitehead Phyllis , Epstein Beth 
Published: August 2024

AbstractMoral distress reflects often recurrent problems within a healthcare environment that impact the quality and safety of patient care. Examples include inadequate staffing, lack of necessary resources, and poor interprofessional teamwork. Recognizing and acting on these issues demonstrates a collaborative and organizational commitment to improve. Moral distress consultation is a health system-wide intervention gaining momentum in the United States. Moral distress consultants assist healthcare providers in identifying and strategizing possible solutions to the patient, team, and systemic barriers behind moral distress. Moral distress consultants offer unique perspectives on the goals, successes, areas for improvement, and sustainability of moral distress consultation. Their ideas can help shape this intervention’s continued growth and improvement. This qualitative descriptive study features 10 semi-structured interviews with moral distress consultants at two institutions with longstanding, active moral distress consultation services. Themes from consultant transcripts included consultant training, understanding the purpose of moral distress consultation, interfacing with leadership teams, defining success, and improving visibility and sustainability of the service. These findings describe the beginnings of a framework that organizations can use to either start or strengthen moral distress consultation services, as well as the first steps in developing an evaluation tool to monitor their utility and quality.
Guidance-As-Progressive in Human Skill Training Based on Deep Reinforcement Learning
Authors: Yang Yang , Chen Haifei , Liu Xing , Huang Panfeng 
Published: August 2024

AbstractTo achieve psychological inclusion and skill development orientation in human skill training, this paper proposes a haptic-guided training strategy generation method with Deep Reinforcement Learning (DRL)-based agent as the core and Zone of Proximal Development (ZPD) tuning as the auxiliary. The information of the expert and trainee is stored first with a designed database that can be accessed in real-time, which establishes the data foundation. Then, under the DRL framework, a strategy generation agent is designed, which consists of an actor-network and two Q-networks. The former network generates the agent’s decision policy, while the other two Q-networks work to approximate the state-action value function, and the parameters of all of them are administrated by the Soft Actor-Critic (SAC) algorithm. In addition, for the first time, the psychological ZPD evaluation method is integrated into the strategy generation of the DRL-based agent, which is utilized to describe the relationship between a trainees intrinsic skills and guidance. With it, the problem of transitional guidance or insufficient guidance can be handled well. Finally, simulation experiments validate the proposed method, demonstrating its efficiency in regulating the trainee under favorable training conditions.
Psychometric Properties of the Reflective Function Questionnaire for Youth Five-Item Version in Adolescents with Restrictive Eating Disorders
Authors: Jewell Tom , McLaren Veronica , Sharp Carla 
Published: August 2024

AbstractMentalizing difficulties are an established correlate of eating disorders, but there is a need to establish the validity and reliability of easy-to-administer instruments to measure the construct in adolescents. This study evaluated the psychometric properties of a five-item version of the Reflective Function Questionnaire for Youth (RFQY-5) in a sample of adolescents with restrictive eating disorders recruited for a prospective observational study. Adolescents completed the 46-item version of the RFQ-Y at the start of treatment (T1) (n = 171) and nine months later (n = 51). The factor structure, internal reliability and convergent validity of the RFQY-5 were assessed at T1. Sensitivity to change was assessed in a subsample of n = 51 who completed the RFQ-Y nine months after the start of treatment (T2). At T1, the RFQY-5 demonstrated inadequate internal reliability (McDonald’s Omega = 0.657) and poor model fit for the unidimensional structure (Χ2(5) = 29.98; p < 0.001; CFI = 0.801; TLI = 0.602; RMSEA = 0.171; SRMR = 0.070). Convergent validity was partially supported. The RFQY-5 was not sensitive to change. The RFQY-5 was found to have inadequate psychometric properties in adolescents with restrictive eating disorders. Psychometric studies are needed to further develop valid and reliable measures of mentalizing for this population.
Children in Mental Health Crisis: Pediatric Primary Care Providers’ Role in Bridging Treatment Following Higher Levels of Care
Authors: Ferro Rebecca A. , Edwards Sarah , Coble Kelly , Riddle Mark , Reinblatt Shauna P. , Ader Chelsie , Crosby Budinger Meghan , Bettencourt Amie F. 
Published: August 2024

AbstractThe current study examines the role of pediatric PCPs in bridging treatment for youth who have experienced mental health crises and the characteristics of these patients for whom PCPs sought psychiatric consultation and referral support from a child psychiatry access program, Maryland Behavioral Health Integration in Pediatric Primary Care. Psychiatric consultation and referral calls between 2012 and 2021 were included if a) the patient was recently seen in a higher level of care and b) the PCP was bridging treatment following the patient’s discharge; 208 calls met criteria. The most common mental health concerns included depressed mood, suicidal thoughts/gestures, and anxiety. Acute concerns of aggression, suicide attempts, and hallucinations were also reported. Over half of the patients had two or more mental health diagnoses. At the time of the call, only one quarter of these patients had outpatient therapy services while about half were receiving medication treatment. Most of these patients were discharged from the higher level of care without a care plan. Pediatric PCPs are managing their patients’ complex mental health concerns following receipt of higher levels of care. Improvements in collaboration and care coordination between pediatric PCPs and emergency department providers are needed.
Graph-theoretic modeling reveals connectivity hotspots for herbivorous reef fishes in a restored tropical island system
Authors: Peterson Emily A. , Stuart Courtney E. , Pittman Simon J. , Benkwitt Cassandra E. , Graham Nicholas A. J. , Malhi Yadvinder , Salmon Teva , Stoll Benoit , Purkis Sam J. , Wedding Lisa M. 
Published: August 2024

Abstract
Context
Seascape connectivity refers to how the spatial configuration of marine habitats facilitates or hinders the movement of organisms, nutrients, materials or energy. Predicting and ranking potential connectivity among habitat patches for coral reef fishes helps to understand how reef fishes could utilize and connect multiple habitat types through the flow of nutrients, energy and biomass across the wider seascape during foraging movements.

Objectives
To advance a spatially explicit understanding of connectivity linkages within a tropical atoll system by modeling, mapping and quantifying potential seascape connectivity for two locally abundant herbivorous reef fish species, the parrotfish, Chlorurus spilurus (pahoro hohoni or pa’ati pa’apa’a auahi), and the surgeonfish, Acanthurus triostegus (manini).

Methods
We applied a two-step modeling approach by first mapping habitat suitability for the focal species. A graph-theoretic modeling technique was then applied to model and measure the contribution of benthic habitat patches to species-specific potential connectivity within the seascape.

Results
Habitat suitability was higher and less fragmented for C. spilurus than for A. triostegus. Potential ecological connectivity estimates for C. spilurus were higher across the entire seascape, with differences between species likely driven by local-scale benthic habitat patch configuration and species home ranges. Hotspots of ecological connectivity across the atoll were mapped for both species.

Conclusions
Despite advances in the application of graph-theoretic techniques in the coastal environment, few marine conservation and restoration measures currently integrate spatial information on ecological connectivity. This two-step spatial modeling approach holds great potential for rapid application of connectivity modeling at multiple spatial scales, which may predict ecological responses to conservation actions including active habitat restoration.
Local factors have a greater influence on the abundance of alfalfa weevil and its larval parasitoids than landscape complexity in heterogeneous landscapes
Authors: Levi-Mourao Alexandre , Meseguer Roberto , Madeira Filipe , Martinez-Casasnovas José Antonio , Costamagna Alejandro C. , Pons Xavier 
Published: August 2024

Abstract
Context
The alfalfa weevil Hypera postica Gyllenhal (Coleoptera: Curculionidae) is one of the most destructive pests of alfalfa worldwide. Both local and landscape-scale factors can significantly influence crop pests, natural enemies, and the effectiveness of biological control services, but the relative influence of these factors is unclear.

Objectives
We investigated the influence of the local variables and surrounding landscape composition and configuration on the abundance of alfalfa weevil, and on the abundance and parasitism rates of its larval parasitoids, Bathyplectes spp.

Methods
We sampled 65 commercial alfalfa fields along the Ebro Basin, Spain, over a period of 3 years, recording the field characteristics and landscape structure at three buffer radii of 250, 500 and 1000 m from the center of each field.

Results
The abundance of weevil larvae was positively associated with the field perimeter and with the uncut alfalfa surrounding the pipes of the sprinkler irrigation system, but only one configuration variable was positively correlated: the alfalfa edge density. No local characteristics or landscape structures were associated with the abundance of adult weevils. The abundance of Bathyplectes spp. adults was positively associated to local factors such as the densities of alfalfa weevils and aphids. Few landscape structure variables, such as alfalfa edge density and Simpson’s Diversity Index, had explanatory value only at 250 m buffer radius. The rate of larval parasitism was affected by local variables, such as alfalfa weevil abundance and field age.

Conclusion
Our results provide, for the first time in the Mediterranean region and Europe, evidence of the relative importance of landscape structure and local factors on the abundance of the alfalfa weevil and its larval parasitoids, Bathyplectes spp. The strongest influences were based on local characteristics.
Benchmarking and the Technicization of Academic Discourse: The Case of the EU at-Risk of Poverty or Social Exclusion Composite Indicator
Authors: Zieleńska Marianna , Wnuk Magdalena 
Published: August 2024

AbstractDrawing on the critical discourse analysis of journals and working papers from 2011-2020 referring to the at-risk of poverty or social exclusion composite indicator (AROPE), we shed light on how benchmarks technicize academic discourse, particularly in its part contributed by economists. First developed to measure progress towards the poverty target set in the EU's Europe 2020 strategy, AROPE has easily permeated academic debate. Its anchoring in statistical procedures and expertise has allowed it to function in this debate as a neutral and purely technical measurement tool, obscuring the interests and normative choices underlying its design and implementation. As a result, the discursive practices associated with the benchmark have led to the reproduction and legitimization of the anti-poverty policy objectives of the Europe 2020 strategy. Simultaneously, AROPE has provided a 'cognitive infrastructure' that enabled an economic view of the world geared towards raising competitiveness. It has made it possible to assess which Member State is doing well and which is doing poorly, and making recommendations on how the laggards should improve. Our analysis shows that benchmarks such as AROPE support the process of shaping Europe as a supranational entity, creating a picture of common European problems with uniform definitions, on the basis of which it is possible to divide Member States into better and worse performers and even promote common solutions through good practices. We conclude by highlighting that the academic discourse around AROPE, generated mainly by economists, reflects the growing interdependence of the academic and political spheres and the pressure for research to have social and political impact.