bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonuniqueness of Weak Solutions to the Dissipative Aw–Rascle Model
Authors: Chaudhuri Nilasis , Feireisl Eduard , Zatorska Ewelina 
Published: July 2024

AbstractWe prove nonuniqueness of weak solutions to multi-dimensional generalisation of the Aw-Rascle model of vehicular traffic. Our generalisation includes the velocity offset in a form of gradient of density function, which results in a dissipation effect, similar to viscous dissipation in the compressible viscous fluid models. We show that despite this dissipation, the extension of the method of convex integration can be applied to generate infinitely many weak solutions connecting arbitrary initial and final states. We also show that for certain choice of data, ill posedness holds in the class of admissible weak solutions.
Falx cerebelli and its associated occipital venous sinus: an anatomical study
Authors: Hosapatna Mamatha , Kunder Kushi , Bhat Nandini Prashanth , Shetty Ashwija , Sanyal Sanjoy , Prabhath Sushma , Sumalatha Suhani 
Published: July 2024

Abstract
Purpose
This study presents the morphological variation of falx cerebelli, which helps to identify the possible variations in the presence of the occipital sinus in the posterior margin of the fold whose damage during midline incision of posterior cranial fossa surgeries may lead to internal hemorrhage.

Method
The study was conducted on 48 cranial cavities exploring the falx cerebelli. Variations in the number of folds, its proximal and distal attachments, and the drainage pattern of the occipital sinus were evaluated by histological processing of the upper 1/3rd section of the falx fold.

Results
The variation in the number of folds recorded are single folds in 87.5%, double folded in 8.3%, and multiple folds (five and seven folded) in 4.2% of the cases. The variation in the proximal and distal attachments in single falx folds showed three combinations: Ramified triangular in 66.7%, both ramified type in 12.5%, and both triangular type in 8.3% of the cases. Double and multiple folds showed ramified and triangular types of variation in their attachments. Histological findings showed the presence of occipital venous sinuses in most of the single falx fold. Two aberrant venous sinuses were seen in a double and five-folded falx cerebelli.

Conclusions
This study records the variations in the morphology of falx cerebelli. The histological data of this study sheds light on the drainage pattern of venous sinuses in the area whose negligence during midline incisions of brain surgeries may increase the possibility of hemorrhage.
Internal and external factors affecting the performance score of surgical trainees doing laparoscopic appendectomy: a prospective, observational cohort study in a structured training programme
Authors: Skjold-Ødegaard Benedicte , Ersdal Hege Langli , Assmus Jörg , Søreide Kjetil 
Published: July 2024

Abstract
Background
Laparoscopic appendectomy is a common procedure and introduced early in general surgical training. How internal (i.e. surgeon’s experience) or external (i.e. disease severity) may affect procedure performance is not well-studied. The aim of this study was to evaluate factors that may have an influence on the performance scores for surgical trainees.

Methods
A prospective, observational cohort study of laparoscopic appendectomies performed by surgical trainees (experience < 4 years) operating under supervision. Trainers evaluated trainees’ overall performance on a 6-point scale for proficiency. Perioperative data were recorded, including appendicitis severity, operating time and the overall difficulty of the procedure as assessed by the trainer. A “Challenging” procedure was defined as a combination of either/or “perforation” and “difficult”. Trainees who had performed > 30 appendectomies were defined as “experienced”. The trainees were asked if they had used simulation or web-based tools the week prior to surgery.

Results
142 procedure evaluation forms were included of which 19 (13%) were “perforated”, 14 (10%) “difficult” and 24 (17%) “Challenging”. Perforated appendicitis was strongly associated with procedure difficulty (OR 21.2, 95% CI 6.0–75.6). Experienced trainees performed “proficient” more often than non-experienced (OR 34.5, 95% CI 6.8–176.5). “Difficult” procedures were inversely associated with proficiency (OR 0.1, 95% CI 0.0–0.9). In “Challenging” procedures, identifying the appendix had lowest proficiency (OR 0.4, 95% CI 0.1–0.9). The procedures assessed as “difficult” had significantly longer operating time with a median (IQR) of 90 (75–100) min compared to 59 (25–120) min for the non-difficult (p < 0.001).

Conclusion
Both internal and external factors contribute to the performance score. Perforated appendicitis, technical difficult procedures and trainee experience all play a role, but a “difficult” procedure had most overall impact on proficiency evaluation.

Graphical Abstract
Exogenous systemin peptide treatment in olive alters Bactrocera oleae oviposition preference
Authors: Sánchez Luiza , Cunha Ana E. , Rodrigues Nuno , Pereira José Alberto , Baptista Paula 
Published: July 2024

AbstractThe olive fruit fly, Bactrocera oleae (Rossi), is a key pest of the olive crop, whose control relies mostly on the use of insecticides. Plant peptides may represent a more environmentally-friendly tool to manage olive fly, due to their recognized role to activate and/or prime plant defence responses against pests. In this work, behavioural experiments (no-choice and two-choice) and analysis of volatile compounds were carried out to evaluate the impact of the exogenous application of the peptide systemin to olive tree on olive fly infestation, and to elucidate its mode of action to prime plant defence. The treatment of olive branches with 10 nM systemin showed to confer protection against olive fly, by reducing significantly the ovipositions (up to 3.0-fold) and the number of infested fruits (up to 2.9-fold) when compared to non-treated branches. This protective effect was even detected in neighbouring non-treated branches, suggesting the ability of systemin to trigger plant-to-plant communication. The deterrent activity of the primed olives was associated with the emission of the volatiles 2-ethyl-1-hexanol, 4-tert-butylcyclohexyl acetate and 1, 2, 3-trimethyl-benzene, which were negatively correlated with oviposition and fly infestation. Systemin has also showed to trigger the biosynthesis of specific volatiles (esters) in olives in response to fly attacks. Overall, the observed protection conferred by systemin against olive fly is likely due to the emission of specific volatiles that can act as a defence and/or as signalling molecules to upregulate the plant defence response. Thus, systemin represents a novel and useful tool to manage olive fruit fly.
From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
Authors: Agiollo Andrea , Siebert Luciano Cavalcante , Murukannaiah Pradeep K. , Omicini Andrea 
Published: July 2024

AbstractThe expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models for natural language processing (NLP) tasks in human–agent interaction. However, LLMs are characterised by a performance vs. transparency trade-off that hinders their applicability to such sensitive scenarios. This is the main reason behind many approaches focusing on local post-hoc explanations, recently proposed by the XAI community in the NLP realm. However, to the best of our knowledge, a thorough comparison among available explainability techniques is currently missing, as well as approaches for constructing global post-hoc explanations leveraging the local information. This is why we propose a novel framework for comparing state-of-the-art local post-hoc explanation mechanisms and for extracting logic programs surrogating LLMs. Our experiments—over a wide variety of text classification tasks—show how most local post-hoc explainers are loosely correlated, highlighting substantial discrepancies in their results. By relying on the proposed novel framework, we also show how it is possible to extract faithful and efficient global explanations for the original LLM over multiple tasks, enabling explainable and resource-friendly AI techniques.
Orbital analysis in the gravitational potential of elongated asteroids
Authors: Gutiérrez José D. , Tresaco Eva , Riaguas Andrés 
Published: July 2024

AbstractThis work studies the motion around irregular elongated asteroids through two approaches. Firstly, it revisits the dipole-segment model, identifying families of periodic orbits for asymmetric mass distribution. Additionally, a new model incorporating variable density for elongated asteroids is introduced and compared to the dipole-segment model. Several families of periodic orbits have been found through continuation of planar orbits and out-of-plane bifurcation processes, obtaining results in agreement with previous studies about the dynamics around irregular asteroids. This highlights the relevance of simple mathematical models in studying asteroid dynamics and the importance of accounting for density and geometric properties. Although the families of periodic orbits studied in this work are not comprehensively sampled, they constitute an example of the variety of orbits that can be followed by a particle orbiting the asteroid, helping us to better understand the dynamics around these elongated bodies.
Discovering Maximum Entropy Knowledge
Authors: Landes Jüergen 
Published: July 2024

AbstractThis paper seeks to determine a rational agent’s evidential constraints given her beliefs. Rationality is here construed as adherence to a principle of entropy maximisation. I determine the rational agent’s set of probability efunctions compatible with the evidence, $${\mathbb {E}}$$
E
, given the maximum entropy function and given some constraints on the shape of $${\mathbb {E}}$$
E
. I also consider agents employing a centre of mass approach to form their beliefs rather than entropy maximisation.
Differential survival of Ilyanassa obsoleta to water temperature and association with the non-native red alga Gracilaria vermiculophylla
Authors: Lee Timothy S. , Fowler Amy E. , Largen Jessica R. , Russo Jonathan P. , Schlegel Zackary J. , Wright Dawson K. , Blakeslee April M. H. 
Published: July 2024

AbstractAlong the U.S. east coast, the widespread non-native red alga Gracilaria vermiculophylla provides habitat for an array of macroinvertebrates, including the eastern mudsnail Ilyanassa obsoleta. Though I. obsoleta tolerates a wide temperature range, increases in summer water temperatures may enhance mortality; furthermore, the presence of non-native algae in rising seawater temperatures could exacerbate harmful conditions. We tested how the presence or absence of G. vermiculophylla influenced snail mortality across a range of summer temperatures over a 3-week period. We found that I. obsoleta survived the longest in the lowest temperature (27 °C), followed by the medium (32 °C), and lastly the highest (36 °C) where all snails died within 2 days. Mortality was also higher and faster for snails in the presence versus absence of G. vermiculophylla. We suspected dissolved oxygen became very low at the higher temperatures with G. vermiculophylla; thus we conducted a laboratory-based dissolved oxygen experiment. We found that G. vermiculophylla degraded and oxygen declined faster at the highest temperature treatment, thereby creating anoxic conditions. Altogether, our results demonstrate that G. vermiculophylla could enhance anoxic conditions at high summer temperatures, potentially leading to enhanced faunal mortality.
Effect of silica addition on the photocatalytic activity of MO2@SiO2 (M=Ti, Zr, Sn, Ce) nanocomposites prepared by sol-gel
Authors: Monrós G. , Delgado C. , Llusar M. , Badenes J. 
Published: July 2024

AbstractPhotocatalysis uses wide band gap ceramic semiconductors (anatase, zirconia, ceria, cassiterite…) that have the ability to promote electron-hole pairs by UV light irradiation producing both reducing and oxidants ions and radicals. In general, oxidizing species are more efficient, using photocatalysis as an advanced oxidation process (AOP) for the biodegradation of organic substances refractory to conventional treatments, such as azo dyes, or atmospheric pollutants as NOx. In this communication, the photocatalytic activity of xSiO2@(1-x)MO2 (M = TiO2, ZrO2, SnO2, CeO2, x = 0, 0.1, 0.3 and 0.5) composites on the Orange II azo dye in solution, as well as on NOx in air, was analysed. The composites were obtained by Sol-Gel methods based on the hydrolysis-condensation of alcoholic solutions of silicon tetraethoxide (TEOS) and titanium n-butoxide, zirconium iso-propoxide, SnCl2.2H2O and Ce(NO3)3.6H2O as precursors of MO2 oxides. The resulting xerogels were studied by XRD, bandgap measurements from UV-Vis-NIR diffuse reflectance spectroscopy, photocatalytic activity against Orange II in dissolution and NOx in air (efficiency in nitrate abatement), and SEM-EDX microstructural analysis. In the case of non-stabilized samples, charring samples at 300 °C/1 h and fired samples at 500 °C/1 h were also studied. The cassiterite-silica composite stands out for its photocatalytic activity against Orange II in solution and the cerianite-silica composite against NOx in air. Silica increases the photocatalytic activity on NOx in zirconia, tin oxide and ceria composites and also on Orange II in zirconia and tin oxide.
Graphical Abstract
Progress and challenges of developing volatile metabolites from exhaled breath as a biomarker platform
Authors: Chou Hsuan , Godbeer Lucy , Allsworth Max , Boyle Billy , Ball Madeleine L. 
Published: July 2024

Abstract
Background
The multitude of metabolites generated by physiological processes in the body can serve as valuable biomarkers for many clinical purposes. They can provide a window into relevant metabolic pathways for health and disease, as well as be candidate therapeutic targets. A subset of these metabolites generated in the human body are volatile, known as volatile organic compounds (VOCs), which can be detected in exhaled breath. These can diffuse from their point of origin throughout the body into the bloodstream and exchange into the air in the lungs. For this reason, breath VOC analysis has become a focus of biomedical research hoping to translate new useful biomarkers by taking advantage of the non-invasive nature of breath sampling, as well as the rapid rate of collection over short periods of time that can occur. Despite the promise of breath analysis as an additional platform for metabolomic analysis, no VOC breath biomarkers have successfully been implemented into a clinical setting as of the time of this review.

Aim of review
This review aims to summarize the progress made to address the major methodological challenges, including standardization, that have historically limited the translation of breath VOC biomarkers into the clinic. We highlight what steps can be taken to improve these issues within new and ongoing breath research to promote the successful development of the VOCs in breath as a robust source of candidate biomarkers. We also highlight key recent papers across select fields, critically reviewing the progress made in the past few years to advance breath research.

Key scientific concepts of review
VOCs are a set of metabolites that can be sampled in exhaled breath to act as advantageous biomarkers in a variety of clinical contexts.
Modelling and simulation of natural hydraulic fracturing applied to experiments on natural sandstone cores
Authors: Wang Junxiang , Sonntag Alixa , Lee Dongwon , Xotta Giovanna , Salomoni Valentina A. , Steeb Holger , Wagner Arndt , Ehlers Wolfgang 
Published: July 2024

AbstractUnder in-situ conditions, natural hydraulic fractures (NHF) can occur in permeable rock structures as a result of a rapid decrease of pore water accompanied by a local pressure regression. Obviously, these phenomena are of great interest for the geo-engineering community, as for instance in the framework of mining technologies. Compared to induced hydraulic fractures, NHF do not evolve under an increasing pore pressure resulting from pressing a fracking fluid in the underground but occur and evolve under local pore-pressure reductions resulting in tensile stresses in the rock material. The present contribution concerns the question under what quantitative circumstances NHF emerge and evolve. By this means, the novelty of this article results from the combination of numerical investigations based on the Theory of Porous Media with a tailored experimental protocol applied to saturated porous sandstone cylinders. The numerical investigations include both pre-existing and evolving fractures described by use of an embedded phase-field fracture model. Based on this procedure, representative mechanical and hydraulic loading scenarios are simulated that are in line with experimental investigations on low-permeable sandstone cylinders accomplished in the Porous Media Lab of the University of Stuttgart. The values of two parameters, the hydraulic conductivity of the sandstone and the critical energy release rate of the fracture model, have turned out essential for the occurrence of tensile fractures in the sandstone cores, where the latter is quantitatively estimated by a comparison of experimental and numerical results. This parameter can be taken as reference for further studies of in-situ NHF phenomena and experimental results.
An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging
Authors: Fiorentino Maria Chiara , Villani Francesca Pia , Benito Herce Rafael , González Ballester Miguel Angel , Mancini Adriano , López-Linares Román Karen 
Published: July 2024

Abstract
Background and objective:
Accurate IVD segmentation is crucial for diagnosing and treating spinal conditions. Traditional deep learning methods depend on extensive, annotated datasets, which are hard to acquire. This research proposes an intensity-based self-supervised domain adaptation, using unlabeled multi-domain data to reduce reliance on large annotated datasets.

Methods:
The study introduces an innovative method using intensity-based self-supervised learning for IVD segmentation in MRI scans. This approach is particularly suited for IVD segmentations due to its ability to effectively capture the subtle intensity variations that are characteristic of spinal structures. The model, a dual-task system, simultaneously segments IVDs and predicts intensity transformations. This intensity-focused method has the advantages of being easy to train and computationally light, making it highly practical in diverse clinical settings. Trained on unlabeled data from multiple domains, the model learns domain-invariant features, adeptly handling intensity variations across different MRI devices and protocols.

Results:
Testing on three public datasets showed that this model outperforms baseline models trained on single-domain data. It handles domain shifts and achieves higher accuracy in IVD segmentation.

Conclusions:
This study demonstrates the potential of intensity-based self-supervised domain adaptation for IVD segmentation. It suggests new directions for research in enhancing generalizability across datasets with domain shifts, which can be applied to other medical imaging fields.
A multimodal cancer rehabilitation programme promoting sense of coherence for women treated for female reproductive cancers: a pilot randomised controlled trial
Authors: Chow Ka Ming , Chan Carmen Wing Han , McCarthy Alexandra Leigh , Zhu Jiemin , Choi Kai Chow , Siu Ka Yi , Leung Alice Wai Yi , Nguyen Khanh Thi 
Published: July 2024

Abstract
Purpose
To investigate the feasibility, acceptability, and preliminary effects of a theory-driven multimodal cancer rehabilitation intervention (MCRI) programme among Hong Kong Chinese women treated for female reproductive cancers (FRC).

Methods
A single-blinded randomised controlled trial was conducted in two regional hospitals in Hong Kong involving 35 women treated for FRC. The intervention group (n = 18) received a 12-week MCRI which included 30 modules of app-based health education and three nurse-led individual counselling sessions. The control group (n = 17) received attention from the research nurse through telephone calls. Sense of coherence, health-related quality of life, and cancer-specific distress were measured at baseline (T0), immediately after completion of the intervention (T1) and 12 weeks post-intervention (T2). Twelve intervention completers were interviewed to explore the acceptability of the programme.

Results
Recruitment, consent, and retention rates, counselling session attendance rate, and app usage were satisfactory. The intervention participants reported to have significant improvement in physical well-being at T1 (Cohen’s d effect size (d) = 1.04, 95% CI 0.24, 1.83), sense of coherence (d = 0.76, 95% CI − 0.03, 1.54), and cancer-specific distress (d = 1.03, 95% CI − 1.83, − 0.21) at T2. Interviewed participants acknowledged the benefits of the programme and provided comments for improvement.

Conclusions
The MCRI is found to be feasible and acceptable and may improve their sense of coherence, distress, and physical health. A full-scale trial using a larger and more representative sample is warranted to confirm the effects of the programme.

Implications for Cancer Survivors
Women treated for FRC may be benefited from the MCRI in improving sense of coherence, physical well-being, and distress.

Trial registration
This trial was registered on ISRCTN registry with ID ISRCTN73177277.
Godfather Marketing: offering favors before products
Authors: Guido Gianluigi 
Published: July 2024

AbstractDisruptive shifts in the current environment are engendering uncertainty, radically changing market relationships and consumers’ priorities. This challenging-the-boundaries article introduces a new marketing paradigm, Godfather Marketing, according to which firms evolve into organizations reminiscent of ‘mafia families,’ yet completely devoid of criminal connotations. Their aim is to deeply fulfill customer needs and desires through favors, not just product sales. This approach requires customers to adhere to a mutual ‘code of honor,’ where merit is rewarded and wrongdoing punished, participating in the firm’s favor exchange network. Through a theoretical approach grounded in historical cultural factors, this article explores firm credibility, favor conditions, reciprocation methods, customer traits, and organizational dynamics. In an era where the quality of information will supersede its quantity, Godfather Marketing offers a distinct perspective, giving marketers a competitive edge for fostering consumer loyalty and local policymakers a potential tool for community governance, within a shared framework of careful controls ensuring the protection of individual freedoms.