bluuebunny/crossref_metadata_2025_split huggingface dataset:
Presolar Grains as Probes of Supernova Nucleosynthesis
Authors: Liu Nan , Lugaro Maria , Leitner Jan , Meyer Bradley S. , Schönbächler Maria 
Published: November 2024

AbstractWe provide an overview of the isotopic signatures of presolar supernova grains, specifically focusing on 44Ti-containing grains with robustly inferred supernova origins and their implications for nucleosynthesis and mixing mechanisms in supernovae. Recent technique advancements have enabled the differentiation between radiogenic (from 44Ti decay) and nonradiogenic 44Ca excesses in presolar grains, made possible by enhanced spatial resolution of Ca-Ti isotope analyses with the Cameca NanoSIMS (Nano-scale Secondary Ion Mass Spectrometer) instrument. Within the context of presolar supernova grain data, we discuss (i) the production of 44Ti in supernovae and the impact of interstellar medium heterogeneities on the galactic chemical evolution of 44Ca/40Ca, (ii) the nucleosynthesis processes of neutron bursts and explosive H-burning in Type II supernovae, and (iii) challenges in identifying the progenitor supernovae for 54Cr-rich presolar nanospinel grains. Drawing on constraints and insights derived from presolar supernova grain data, we also provide an overview of our current understanding of the roles played by various supernova types – including Type II, Type Ia, and electron capture supernovae – in accounting for the diverse array of nucleosynthetic isotopic variations identified in bulk meteorites and meteoritic components. We briefly overview the potential mechanisms that have been proposed to explain these nucleosynthetic variations by describing the transport and distribution of presolar dust carriers in the protoplanetary disk. We highlight existing controversies in the interpretation of presolar grain data and meteoritic nucleosynthetic isotopic variations, while also outlining potential directions for future research.
Variability of trace elements in bodies of scrapers (Ephemeroptera) and predators (Plecoptera) from mountain rivers of Dzungarian Alatau (Kazakhstan) and Western Carpathians (Slovakia)
Authors: Solár Jaroslav , Haas Martina , Pánik Patrik , Oxikbayev Berikzhan , Abduakassov Aibek 
Published: November 2024

AbstractBioaccumulation of trace elements in aquatic environments can be influenced by local environmental conditions such as temperature fluctuations, pH levels, sediment composition, dissolved organic matter content, and the presence of other chemical substances. We analyzed the differences in trace elements accumulation (S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn, Rb, Sr, Mo, Ba, and Pb) between two trophic guilds—scrapers (Ephemeroptera) and predators (Plecoptera)—of freshwater benthic macroinvertebrates collected from mountain streams in Kazakhstan and Slovakia. Trace elements in dried insect bodies were analyzed using an X-ray spectrometer, and physicochemical parameters of stream water were investigated at each sampling site. Our results showed significant differences in Fe, Ti, and Sr levels in predators from Kazakhstan and Cu levels in predators from Slovakia. Despite some trace elements showing higher concentrations in one group over another, the overall differences between regions were more pronounced. Principal component analysis (PCA) revealed that the primary factors influencing trace elements variability were associated with environmental conditions such as temperature, oxygen levels, and total dissolved solids (TDS). PCA components indicated a higher load of trace elements in the warmer, less oxygenated streams, particularly in Kazakhstan. These findings suggest that both biotic (feeding strategies) and abiotic (geographical and environmental conditions) factors significantly influence trace elements dynamics in freshwater ecosystems.
Effectiveness of Public Messaging Within the Gambling Domain: A Systematic Review
Authors: Ray Devashish , Thomson Katie , Beyer Fiona R. , Williams Oleta , Stoniute Akvile , Arisa Oluwatomi , Vlaev Ivo , Oliver Emily J. , Kelly Michael P. 
Published: November 2024

AbstractGambling messaging is one potential component of a public health approach towards reducing gambling-related harm (GRH). This systematic review examined the effectiveness of existing public health gambling messaging interventions. Four databases were searched from inception to June 2023. Twenty-one papers met inclusion criteria. Studies were conducted in diverse settings, employed various designs, and evaluated messaging interventions that differed in their aims and reported outcomes. Interventions were categorised into three groups: general population-level messaging, gambling harm reduction messages, and product risk warnings. The evidence—currently limited—suggests that existing gambling messaging interventions are ineffective in changing behaviours but can raise awareness of GRH. Our findings underpinned recommendations for how the format and presentation of currently used ‘safer’ gambling messages and product warning labels may be improved. Research is required to develop and test messages that can help prevent and reduce GRH both for the general population and people who gamble.
Correlation between nova volume flow rate and TOF signal intensity ratio: value in unilateral internal carotid artery occlusion
Authors: Wolf Fabian , Colombo Elisa , Schubert Tilman , Höbner Lara Maria , Wegener Susanne , Fierstra Jorn , Sebök Martina , van Niftrik Bas , Luft Andreas , Regli Luca , Esposito Giuseppe 
Published: November 2024

Abstract
Background and purposes
Non-invasive optimal vessel analysis quantitative magnetic resonance angiography (NOVA-QMRA) has emerged as a valuable tool to characterize cerebral hemodynamics in intracranial atherosclerotic disease (ICAD). Our aim was to explore the eventual correlation between volume flow rate (VFR) measured via NOVA-QMRA and signal intensity ratio (SIR) of time-of-flight (TOF) MRA in M1- and P2-segments bilaterally in patients with unilateral internal carotid artery (ICA) occlusion.

Materials and methods
Patients with acute, subacute or chronic unilaterall ICA occlusion receiving NOVA-QMRA between June 2019 and June 2021 were retrospectively included. In bilateral M1- and P2-segments VFR was assessed by means of NOVA-QMRA and a region of interest (ROI) was selected to measure TOF SIR. A correlation between TOF SIR and VFR was tested by means of Pearson correlation coefficient. Mean difference of TOF SIR and VFR between ipsilateral (to occluded ICA) and contralateral M1- and P2-segments was analyzed using a two-sided Welch’s t test.

Results
Fifty-five patients with unilateral ICA occlusion were included (acute: 28; subacute: 8; chronic: 19). Both ipsilateral (r = 0.536, p < 0.001) and contralateral (r = 0.757, p < 0.001) TOF SIR correlated significantly with NOVA VFR. This observation proved especially true for patients with chronic ICA occlusion. Both VFR (165.18 vs 110.60, p < 0.001) and TOF SIR (4.96 vs 2.70, p < 0.001) were higher in contralateral than ipsilateral M1-segments; whereas, the contrary was observed for P2-segments (VFR 72.35 vs 102.12, p < 0.001, TOF SIR 2.87 vs 3.39, p = 0.016).

Conclusion
The study results showed that TOF SIR significantly correlated with phase-contrast derived flow volume in patients with symptomatic ICA occlusion. This correlation remains the same regardless of the stage of the ischemic stroke (acute vs subacute vs chronic). Furthermore, significantly high VFR and TOF SIR in ipsilateral P2-segments may provide evidence of leptomeningeal collateralization in acute patients. Standardly performed TOF SIR Sequences might be of help for a qualitative evaluation of the flow in M1- and P2-segments in patients with unilateral ICA occlusions. NOVA QMRA allows precise quantitative measurements of the flow in cerebral vessels.

Graphical abstract
Interictal EEG spikes increase perfusion in low-grade epilepsy-associated tumors: a pediatric arterial spin labeling study
Authors: Gennari Antonio Giulio , Bicciato Giulio , Lo Biundo Santo Pietro , Kottke Raimund , Cserpan Dorottya , Tuura O’Gorman Ruth , Ramantani Georgia 
Published: November 2024

Abstract
Purpose
Arterial spin labeling (ASL), a noninvasive magnetic resonance (MRI) perfusion sequence, holds promise in the presurgical evaluation of pediatric lesional epilepsy patients, including those with low-grade epilepsy-associated tumors (LEATs). The interpretation of ASL-derived perfusion patterns, however, presents challenges. Our study aims to elucidate these perfusion changes in children with LEATs, exploring their correlations with clinical, electroencephalography (EEG), and anatomical MRI findings.

Material and Methods
Our cohort included 15 children with LEAT-associated focal lesional epilepsy who underwent single-delay pseudo-continuous ASL imaging; eight were imaged under sedation. We assessed perfusion images both qualitatively and quantitatively, focusing on LEAT-related perfusion changes, as indicated by the asymmetry index (AI) and regional cerebral blood flow (rCBF).

Results
ASL revealed LEAT-related perfusion changes in all but two patients: 12 LEATs were hypoperfused and one was hyperperfused relative to the contralateral brain parenchyma (CBP). LEATs showed significantly lower perfusion compared to CBP (median: 38.7 vs. 59.1 mL/100 g/min for LEAT and CBP, respectively; p value = 0.004, Wilcoxon–Mann–Whitney), regardless of sedation. Notably, elevated AI and rCBF values correlated with interictal spikes on EEG (median: -0.008 and 0.84 vs -0.27 and 0.58, respectively), but not to other clinical, EEG, or MRI variables (p value = 0.036, Wilcoxon–Mann–Whitney).

Conclusions
By highlighting the connection between LEAT and brain perfusion, and by correlating perfusion characteristics and epileptogenicity, our research enhanced our understanding of pediatric epilepsy associated with LEATs. Also, by proving the robustness of these findings to sedation we confirmed the importance of adding ASL to epilepsy protocols to as a valuable tool to supplement anatomical imaging.
Characterisation and calibration of multiversal methods
Authors: Cantone Giulio Giacomo , Tomaselli Venera 
Published: November 2024

AbstractMultiverse Analysis is a heuristic for robust multiple models estimation where data fit many connected specifications of the same abstract model, instead of a singular or a small selection of specifications. Differently from the canonical application of multimodels, in Multiverse Analysis the probabilities of the specifications to be included in the analysis are never assumed independent of each other. Grounded in this consideration, this study provides a compact statistical characterisation of the process of elicitation of the specifications in Multiverse Analysis and conceptually adjacent methods, connecting previous insights from meta-analytical Statistics, model averaging, Network Theory, Information Theory, and Causal Inference. The calibration of the multiversal estimates is treated with references to the adoption of Bayesian Model Averaging vs. alternatives. In the applications, it is checked the theory that Bayesian Model Averaging reduces both error and uncertainty for well-specified multiversal models but amplifies errors when a collider variable is included in the multiversal model. In well-specified models, alternatives do not perform better than Uniform weighting of the estimates, so the adoption of a gold standard remains ambiguous. Normative implications for misinterpretation of Multiverse Analysis and future directions of research are discussed.
Fracture Behavior of Hardfacing Alloy Coated Over Stainless Steel under Quasi-Static and Dynamic Loads
Authors: Joseph Prince , Babu M. Nani , Albert S. K. 
Published: November 2024

AbstractThe fracture behavior of bi-material made of Ni-Cr-B-Si hardfacing alloy deposited over SS316LN substrate was evaluated under quasi-static and dynamic loads. The crack growth started from notch made on the deposit side and progress toward the substrate deposit interface under both loading conditions was monitored. The displacement rate in quasi-static loading and the loading rate for dynamic loading varied and crack propagation was studied. It was observed that the crack was deflected at the interface and not penetrated to the substrate, irrespective of loading conditions. The reason for crack deflection at the interface was analyzed using the energy-based method. It is shown that the ratio of fracture toughness of the interface to that of the substrate (0.044) is lower than the ratio of energy release rate for the deflecting crack to that of the penetrating crack (0.235). Thus, this material combination satisfies the condition for crack deflection rather than penetration. The fracture toughness of the interface was estimated as ~ 68 MPa m1/2 and it falls between that of hardfacing alloy and SS316LN base metal. Optical and SEM examinations were conducted to corroborate the crack path deviations during crack growth. Results suggest that isolated cracks might be present on hardfaced coatings on critical components for which such cracks are usually not permitted. It may be allowed in preference to repair of these cracks, which is difficult and significantly increases the risk of additional cracks forming on the deposits because of the high susceptibility of the hardfacing alloy to cracking.
The Impact of the Histone Deacetylase Inhibitor—Sodium Butyrate on Complement-Mediated Synapse Loss in a Rat Model of Neonatal Hypoxia–Ischemia
Authors: Ziabska Karolina , Gewartowska Magdalena , Frontczak-Baniewicz Malgorzata , Sypecka Joanna , Ziemka-Nalecz Malgorzata 
Published: November 2024

AbstractPerinatal asphyxia is one of the most important causes of morbidity and mortality in newborns. One of the key pathogenic factors in hypoxic-ischemic (HI) brain injury is the inflammatory reaction including complement system activation. Over-activated complement stimulates cells to release inflammatory molecules and is involved in the post-ischemic degradation of synaptic connections. On the other hand, complement is also involved in regenerative processes. The histone deacetylase inhibitor (HDACi)—sodium butyrate (SB)—provides reduction of inflammation by decreasing the expression of the proinflammatory factors. The main purpose of this study was to examine the effect of SB treatment on complement activation and synapse elimination after HI. Neonatal HI was induced in Wistar rats pups by unilateral ligation of the common carotid artery followed by 60-min hypoxia (7.6% O2). SB (300 mg/kg) was administered on a 5-day regimen. Our study has shown decreased levels of synapsin I, synaptophysin, and PSD-95 in the hypoxic-ischemic hemisphere, indicating synaptic loss after neonatal HI. Transmission electron microscopy revealed injury of the synaptic structures in the brain after HI. SB treatment increased the level of the synaptic proteins, improved tissue ultrastructure, and reduced degradation of the synapses. Neonatal HI induced mRNA expression of the complement C1q, C3, C5, and C9, and their receptors C3aR and C5aR. The effect of SB was different depending on the time after induction of hypoxic-ischemic damage. Our study demonstrated that neuroprotective effect of SB may be related to the modulation of complement activity after HI brain injury.
Fasten UV-Resistant Cotton Textiles by Modification with Mixed Metal–Ce–MOF
Authors: Abdelhameed Reda M. , El-Shahat Mahmoud , Ivanova Elena , Mihaylov Mihail , Hadjiivanov Konstantin , Emam Hossam E. 
Published: November 2024

AbstractNowadays, manufacturing of ultraviolet (UV) protective textiles is quite interesting for the outdoor workers to protect their bodies from harmful radiation. Herein, for the first time, durable UV-protective cotton textiles were produced by modification with the mixed metal–Ce organic framework. Cotton was first interacted with 1,2,4-tricarboxybenzene-2,4-anhydride through benzylation reaction. The benzylated cotton (BTC–C = O@Cotton) was then reacted with two metal salts including Cerium salt to obtain Ce–M–BTC–C = O@Cotton. The estimated contents of Ce and the mixed metal within Ce–M–BTC–C = O@Cotton were 3.3% and 0.4%, respectively. The color of cotton was turned to bluish-green color, greenish-yellow color and reddish color after incorporation with Ce–Cu–BTC, Ce–Ni–BTC and Ce–Co–BTC, respectively. The all-modified fabrics exhibited UV-blocking character from good to excellent, depending on the inserted mixed metal. The measured UV-protection factor (UPF) was 34.7 (very good) for Ce–Cu–BTC–C = O@Cotton, 43.1 (excellent) for Ce–Ni–BTC–C = O@Cotton, 26.4 (good) for Ce–Zn–BTC–C = O@Cotton, and 33.3 (very good) for Ce–Co–BTC–C = O@Cotton. After 5 washing cycles, Ce–Ni–BTC–C = O@Cotton and Ce–Co–BTC–C = O@Cotton showed good UV protection. The mechanical properties of cotton textiles were not significantly affected after modification with Ce–M–BTC.
A ring-shaped gas sign: a case of the accidental ingestion of a press-through package
Authors: Kubota Dai , Tsuji Yosuke , Hayakawa Yoku , Fujishiro Mitsuhiro 
Published: November 2024

Abstract
This case report presents a common but instructive clinical scenario of accidental ingestion of a press-through package. Despite an initial negative chest X-ray and mild symptoms, the diagnosis was confirmed with additional computed tomography. The patient was eventually went through the successful endoscopic removal of the press-through package. Furthermore, a retrospective re-reviewing of the X-ray revealed a faint ring-shaped gas sign, characteristic of press-through package ingestion. This case underscores the intractableness to diagnosis of accidental ingestion of press-through package by only X-rays in real time and the potential role of computed tomography in ensuring timely diagnosis and treatment.
Post-traumatic Distress in Adults with Congenital Heart Disease: Protective Factors and Clinical Implications
Authors: Freiberger Annika , Andonian-Dierks Caroline , Beckmann Jürgen , Freilinger Sebastian , Ewert Peter , Henningsen Peter , Kaemmerer Harald , Kohls Niko , Richter Cristina , Huber Maximilian 
Published: November 2024

Abstract
Background
Due to various reasons explored in previous studies, adults with congenital heart disease (ACHD) are at risk of developing post-traumatic stress symptoms (PTSS). The aim of this study is to explore multiple potential psychosocial protective factors in ACHD and to understand their role in different complexities of congenital heart disease (CHD) and PTSS.

Method
This study was part of the “ABS-AHF” study, where 234 ACHD were recruited from November 2021 to August 2022 at a tertiary CHD care center. Data were collected on PTSS (PDS), resilience (RS-13), sense of coherence (SOC-L9), and social support (F-SozU K-14).

Results
The mean scores were 70.55 + / − 12.31 [21–91] for resilience, 35.83 + / − 4.81 [15–60] for sense of coherence (SOC), and 4.30 + / − 0.79 [0.93–5] for social support. SOC (OR, .91; p = .024 [.84; 9.98]) and social support (OR, .48; p = .001 [.29; 7.96]) were shown to reduce the likelihood of PTSS. Low resilience (OR, 2.40, p = .0248 [1.18; 5.18]) seems to increase this likelihood.

Conclusion
Integrating parents and relatives early on seems to be an important protective resource. Parental support in childhood affects the development of SOC which is in line with social support related to lower PTSS. With regard to resilience and SOC, a brief and manageable screening option for personal resources is available to refer potentially vulnerable patients to specialized psychosocial care. Care offers should address coping styles and life with CHD. Offering multidisciplinary care, integrating the patient’s social network, and education for patients to increase resilience and SOC might provide a way to enhance psychosocial outcomes, quality of life, and adherence in ACHD.
The Limits of Our Explanation: A Case Study in Myxococcus xanthus Cooperation
Authors: Khan Saira 
Published: November 2024

AbstractIn this article, I demonstrate two ways in which our major theories of the evolution of cooperation may fail to capture particular social phenomena. The first shortcoming of our current major theories stems from the possibility of mischaracterizing the cooperative problem in game theory. The second shortcoming of our current major theories is the insensitivity of these explanatory models to ecological and genomic context. As a case study to illustrate these points, I will use the cooperative interaction of a species of myxobacteria called Myxococcus xanthus. M. xanthus cooperate in many areas of their life cycle—in quorum sensing, social motility, fruiting body formation, and predation. I focus in particular on predation as we have not yet discovered an adequate explanation of how they sustain cooperative predation in the face of developmental cheats. In explaining why we have not, I draw generalizable conclusions that shed light on our use of simplified models to explain real-world behaviors in a variety of organisms.
Multiple feature selection based on an optimization strategy for causal analysis of health data
Authors: Cong Ruichen , Deng Ou , Nishimura Shoji , Ogihara Atsushi , Jin Qun 
Published: November 2024

Abstract

Purpose

Recent advancements in information technology and wearable devices have revolutionized healthcare through health data analysis. Identifying significant relationships in complex health data enhances healthcare and public health strategies. In health analytics, causal graphs are important for investigating the relationships among health features. However, they face challenges owing to the large number of features, complexity, and computational demands. Feature selection methods are useful for addressing these challenges. In this paper, we present a framework for multiple feature selection based on an optimization strategy for causal analysis of health data.

Methods

We select multiple health features based on an optimization strategy. First, we define a Weighted Total Score (WTS) index to assess the feature importance after the combination of different feature selection methods. To explore an optimal set of weights for each method, we design a multiple feature selection algorithm integrated with the greedy algorithm. The features are then ranked according to their WTS, enabling selection of the most important ones. After that, causal graphs are constructed based on the selected features, and the statistical significance of the paths is assessed. Furthermore, evaluation experiments are conducted on an experiment dataset collected for this study and an open dataset for diabetes.

Results

The results demonstrate that our approach outperforms baseline models by reducing the number of features while improving model performance. Moreover, the statistical significance of the relationships between features uncovered through causal graphs is validated for both datasets.

Conclusion

By using the proposed framework for multiple feature selection based on an optimization strategy for causal analysis, the number of features is reduced and the causal relationships are uncovered and validated.