bluuebunny/crossref_metadata_2025_split huggingface dataset:
A special case of Vu’s conjecture: colouring nearly disjoint graphs of bounded maximum degree
Authors: Kelly Tom , Kühn Daniela , Osthus Deryk 
Published: November 2023

AbstractA collection of graphs is nearly disjoint if every pair of them intersects in at most one vertex. We prove that if
$G_1, \dots, G_m$
are nearly disjoint graphs of maximum degree at most
$D$
, then the following holds. For every fixed
$C$
, if each vertex
$v \in \bigcup _{i=1}^m V(G_i)$
is contained in at most
$C$
of the graphs
$G_1, \dots, G_m$
, then the (list) chromatic number of
$\bigcup _{i=1}^m G_i$
is at most
$D + o(D)$
. This result confirms a special case of a conjecture of Vu and generalizes Kahn’s bound on the list chromatic index of linear uniform hypergraphs of bounded maximum degree. In fact, this result holds for the correspondence (or DP) chromatic number and thus implies a recent result of Molloy and Postle, and we derive this result from a more general list colouring result in the setting of ‘colour degrees’ that also implies a result of Reed and Sudakov.
Politics in the street: the materiality of urban public spaces in Renaissance Italy
Authors: Rospocher Massimo , Valseriati Enrico 
Published: November 2023

AbstractIn Renaissance Italy, the political power of authorities found one of its expressions in material symbols of sovereignty. The placing of inscriptions, sculptures and columns and the commissioning of frescoes in streets, piazzas and public spaces, for example, were essential ways of communicating political or spiritual authority to the populace. Sometimes perceived as representations of a top-down form of communication, in the urban context these same material emblems of power became political objects through which to express dissent, as in the case of public loggias, speaking statues or graffiti on walls and civic palaces. Presenting case-studies from various cities in northern Italy, this article investigates the dialectics between the people and the authorities in the urban fabric, especially in everyday life. Combining a spatial and a material approach to politics, this article reveals the dynamic and relational nature of political public spaces.
Application of the Theory of Planned Behaviour to inform development of a Dissemination and Implementation science training for nutrition practitioners
Authors: Walker Ayron E , Totzkay Daniel , Scarneo-Miller Samantha E , Claydon Elizabeth A , Olfert Melissa D 
Published: November 2023

AbstractObjective:To determine nutrition practitioners’ attitudes, behavioural control and normative beliefs to best inform the development and formulation of a nutrition-specific Dissemination and Implementation (D&I) science training.Design:A cross-sectional survey aimed to assess Theory of Planned Behaviour (TPB) constructs and intention to use D&I science. A validated TPB questionnaire assessed constructs including perceived behavioural control, subjective, injunctive and descriptive normative beliefs, attitudes and intention to use D&I science. For analysis, Spearman’s ρ, Kruskal–Wallis and Steel–Dwass tests were conducted for quantitative variables.Setting:Online, 26-item Qualtrics survey.Participants:Cross-sectional sample of members (n 70) affiliated with the Society for Nutrition Education and Behaviour listserv.Results:The major finding from this study was a significant positive correlation between perceived behavioural control score and intention (r = 0·315, P = 0·0119).Conclusions:D&I training interventions could formulate learning and teaching strategies to target perceived behavioural control (self-efficacy, knowledge and ability) to enhance intention. For example, application and experience-based learning techniques trainings could be strategies to increase knowledge and abilities.
A New Approach for Real‐Time Erupted Volume Estimation From High‐Precision Strain Detection Validated by Satellite Topographic Monitoring
Authors: Bonaccorso Alessandro , Carleo Luigi , Currenti Gilda , Bilotta Giuseppe , Cappello Annalisa , Ganci Gaetana 
Published: November 2023

AbstractTimely estimations of magma volumes emitted during an eruption or a sequence of explosive events are vital for investigating the eruptive activity and evaluating the associated hazard. A reliable method for estimating erupted volumes is based on the analysis of digital surface models that nowadays can be obtained subsequently using stereo or tri‐stereo optical satellite imagery. However, the real‐time estimation of the erupted volumes is still an open challenge. Here, we explore the capacity of extracting volume estimates from continuous measurements of volumetric strain changes recorded by borehole dilatometers. We compare the volumes derived from numerous high spatial resolution satellite images with high precision strain records at Etna during 2020–2022, when more than 60 lava fountains occurred. The good correlation between the two data sets shows that strain changes can be used as a proxy to estimate the emitted volumes both over time and in real‐time.
Tunable parity-time symmetry vortex laser from a phase change material-based microcavity
Authors: Su Ying , Fan Hongji , Zhang Shitong , Cao Tun 
Published: November 2023

AbstractTraditional light sources cannot emit an electromagnetic (EM) field with an orbital angular momentum (OAM), limiting their applications in modern optics. The recent development of the OAM laser, mainly based on micro- and nanostructures, can satisfy the increasing requirements for on-chip photonics and information capacities. Nevertheless, the photonic structures have fixed parameters that prevent these OAM lasers from being dynamically tuned. Here, we propose tunable vortex lasing from a microring cavity integrated by a phase change material, Ge2Sb2Te5 (GST225). By modulating the complex refractive index to create an exceptional point (EP) to break the degeneracy of whispering gallery modes with opposite orientations, the microlaser working at the EP can impart an artificial angular momentum, thus emitting vortex beams with well-defined OAM. The grating scatter on the edge of the microring can provide efficient vertical radiation. The vortex laser wavelength from the GST225/InGaAsP dual-layered microring cavity can be dynamically tuned by switching the state of GST225 between amorphous and crystalline without changing the microring geometry. We construct an electric-thermal model to show the tuning range of operating wavelengths (EPs) from 1544.5 to 1565.9 nm in ~25 ns. Our study on high-speed tunable PT-symmetry vortex lasers facilitates the next generation of integrated optoelectronic devices for optical computing and communications in both classical and quantum regions.
Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer
Authors: Shi Wenjie , Wartmann Thomas , Accuffi Sara , Al-Madhi Sara , Perrakis Aristotelis , Kahlert Christoph , Link Alexander , Venerito Marino , Keitel-Anselmino Verena , Bruns Christiane , Croner Roland S. , Zhao Yue , Kahlert Ulf D. 
Published: November 2023

Abstract
Introduction
Pancreatic cancer is a highly aggressive cancer, and early diagnosis significantly improves patient prognosis due to the early implementation of curative-intent surgery. Our study aimed to implement machine-learning algorithms to aid in early pancreatic cancer diagnosis based on minimally invasive liquid biopsies.

Materials and methods
The analysis data were derived from nine public pancreatic cancer miRNA datasets and two sequencing datasets from 26 pancreatic cancer patients treated in our medical center, featuring small RNAseq data for patient-matched tumor and non-tumor samples and serum. Upon batch-effect removal, systematic analyses for differences between paired tissue and serum samples were performed. The robust rank aggregation (RRA) algorithm was used to reveal feature markers that were co-expressed by both sample types. The repeatability and real-world significance of the enriched markers were then determined by validating their expression in our patients’ serum. The top candidate markers were used to assess the accuracy of predicting pancreatic cancer through four machine learning methods. Notably, these markers were also applied for the identification of pancreatic cancer and pancreatitis. Finally, we explored the clinical prognostic value, candidate targets and predict possible regulatory cell biology mechanisms involved.

Results
Our multicenter analysis identified hsa-miR-1246, hsa-miR-205-5p, and hsa-miR-191-5p as promising candidate serum biomarkers to identify pancreatic cancer. In the test dataset, the accuracy values of the prediction model applied via four methods were 94.4%, 84.9%, 82.3%, and 83.3%, respectively. In the real-world study, the accuracy values of this miRNA signatures were 82.3%, 83.5%, 79.0%, and 82.2. Moreover, elevated levels of these miRNAs were significant indicators of advanced disease stage and allowed the discrimination of pancreatitis from pancreatic cancer with an accuracy rate of 91.5%. Elevated expression of hsa-miR-205-5p, a previously undescribed blood marker for pancreatic cancer, is associated with negative clinical outcomes in patients.

Conclusion
A panel of three miRNAs was developed with satisfactory statistical and computational performance in real-world data. Circulating hsa-miRNA 205-5p serum levels serve as a minimally invasive, early detection tool for pancreatic cancer diagnosis and disease staging and might help monitor therapy success.
Cationic ring-opening copolymerization of a cyclic acetal and γ-butyrolactone: monomer sequence transformation and polymerization–depolymerization control by vacuuming or temperature changes
Authors: Takebayashi Kana , Kanazawa Arihiro , Aoshima Sadahito 
Published: November 2023

AbstractPolymerization–depolymerization equilibrium is a promising strategy for the construction of polymerization systems through which sustainable polymers can undergo reversible polymer–monomer transformations. In this study, we perform monomer sequence transformation and copolymer depolymerization, which are based on transacetalization reactions and polymerization–depolymerization equilibrium, in the cationic ring-opening copolymerization of 2-methyl-1,3-dioxepane and γ-butyrolactone with a protonic acid. The removal of monomer molecules from the copolymerization solution by vacuuming with a vacuum pump caused monomer sequence to transform into pseudo-alternating copolymer chains and subsequently depolymerize into oligomers. Increasing the temperature during copolymerization also resulted in depolymerization, while copolymers were regenerated by the subsequent decrease in temperature.
Two sympatric lineages of Australian Cnestus solidus share Ambrosiella symbionts but not Wolbachia
Authors: Bickerstaff James R. M. , Jordal Bjarte H. , Riegler Markus 
Published: November 2023

AbstractSympatric lineages of inbreeding species provide an excellent opportunity to investigate species divergence patterns and processes. Many ambrosia beetle lineages (Curculionidae: Scolytinae) reproduce by predominant inbreeding through sib mating in nests excavated in woody plant parts wherein they cultivate symbiotic ambrosia fungi as their sole source of nutrition. The Xyleborini ambrosia beetle species Cnestus solidus and Cnestus pseudosolidus are sympatrically distributed across eastern Australia and have overlapping morphological variation. Using multilocus sequencing analysis of individuals collected from 19 sites spanning their sympatric distribution, we assessed their phylogenetic relationships, taxonomic status and microbial symbionts. We found no genetic differentiation between individuals morphologically identified as C. solidus and C. pseudosolidus confirming previous suggestions that C. pseudosolidus is synonymous to C. solidus. However, within C. solidus we unexpectedly discovered the sympatric coexistence of two morphologically indistinguishable but genetically distinct lineages with small nuclear yet large mitochondrial divergence. At all sites except one, individuals of both lineages carried the same primary fungal symbiont, a new Ambrosiella species, indicating that fungal symbiont differentiation may not be involved in lineage divergence. One strain of the maternally inherited bacterial endosymbiont Wolbachia was found at high prevalence in individuals of the more common lineage but not in the other, suggesting that it may influence host fitness. Our data suggest that the two Australian Cnestus lineages diverged allopatrically, and one lineage then acquired Wolbachia. Predominant inbreeding and Wolbachia infection may have reinforced reproductive barriers between these two lineages after their secondary contact contributing to their current sympatric distribution.
A comparative numerical evaluation of linear anode arrangements for enhancing above ground storage tank cathodic protection via mesh grid and concentric ring designs
Authors: Shirshahi Mohammad Javad , Chini Seyed Farshid , Taheri Peyman , Mansouri Abraham 
Published: November 2023

AbstractCathodic protection as a complementary method is one of the most effective ways to prevent corrosion, along with coating and choosing the suitable material. There are different ways to protect the storage tank bottom. Due to the presence of the geo membrane layer and its effective and pivotal role, the use of mixed metal oxide (MMO) anodes is highly recommended. In the current study, the protection process of the above-ground storage tank bottom is simulated using MMO backfilled wire (concentric rings) and ribbon anodes (mesh grid system). In this regard, several parameters must be considered in reaching the protection criteria. The simulation results show that the effect of the limiting oxygen current density, soil resistivity and the anodic current have the greatest role. Anode depth and the spacing between the anodes are also critical factors if they have large values. Due to the importance of the number of conductor bars and feeding cables, two configurations have been presented for ribbon anodes. These configurations have a direct impact on grid resistance, rectifier size, and related costs. Finally, an economic comparison has been made regarding the use of sacrificial and MMO anodes in the form of ribbon next to wire anodes. The results show that, in the use of ribbon anodes, MMO anodes have better performance than magnesium and zinc sacrificial anodes, and the cost required for MMO linear anodes is far lower than the method of sacrificial ribbon anodes. In the present study, the cost of the MMO linear anode system is approximately 20% of zinc and magnesium sacrificial ribbon anode system cost.
Swarm of lightsail nanosatellites for Solar System exploration
Authors: Santi Giovanni , Corso Alain J. , Garoli Denis , Lio Giuseppe Emanuele , Manente Marco , Favaro Giulio , Bazzan Marco , Piotto Giampaolo , Andriolli Nicola , Strambini Lucanos , Pavarin Daniele , Badia Leonardo , Proietti Zaccaria Remo , Lubin Philip , Ragazzoni Roberto , Pelizzo Maria G. 
Published: November 2023

AbstractThis paper presents a study for the realization of a space mission which employs nanosatellites driven by an external laser source impinging on an optimized lightsail, as a valuable technology to launch swarms of spacecrafts into the Solar System. Nanosatellites propelled by laser can be useful for heliosphere exploration and for planetary observation, if suitably equipped with sensors, or be adopted for the establishment of network systems when placed into specific orbits. By varying the area-to-mass ratio (i.e. the ratio between the sail area and the payload weight) and the laser power, it is possible to insert nanosatellites into different hyperbolic orbits with respect to Earth, thus reaching the target by means of controlled trajectories in a relatively short amount of time. A mission involving nanosatellites of the order of 1 kg of mass is envisioned, by describing all the on-board subsystems and satisfying all the requirements in terms of power and mass budget. Particular attention is paid to the telecommunication subsystem, which must offer all the necessary functionalities. To fabricate the lightsail, the thin films technology has been considered, by verifying the sail’s thermal stability during the thrust phase. Moreover, the problem of mechanical stability of the lightsail has been tackled, showing that the distance between the ligthsail structure and the payload plays a pivotal role. Some potential applications of the proposed technology are discussed, such as the mapping of the heliospheric environment.
Cystatin C based estimation of chronic kidney disease and amyotrophic lateral sclerosis in the ALS registry Swabia: associated risk and prognostic value
Authors: Nagel Gabriele , Kurz Deborah , Peter Raphael S. , Rosenbohm Angela , Koenig Wolfgang , Dupuis Luc , Bäzner Hansjörg , Börtlein Axel , Dempewolf Silke , Schabet Martin , Hecht Martin , Kohler Andreas , Opherk Christian , Naegele Andrea , Sommer Norbert , Lindner Alfred , Tumani Hayrettin , Ludolph Albert C. , Rothenbacher Dietrich 
Published: November 2023

AbstractKidney function as part of metabolic changes could be associated with amyotrophic lateral-sclerosis (ALS). We investigated the associations between estimated chronic kidney disease (CKD), based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) cystatin C equation, and the risk at onset and prognostic value of CKD for ALS. Between October 2010 and June 2014, 362 ALS cases (59.4% men, mean age 65.7 years) and 681 controls (59.5% men, means age 66.3 years) were included in a population-based case–control study based on the ALS registry Swabia in Southern Germany. All ALS cases were followed-up (median 89.7 months), 317 died. Serum samples were measured for cystatin C to estimate the glomerular filtration rate (eGFR) according to the CKD-EPI equation. Information on covariates were assessed by an interview-based standardized questionnaire. Conditional logistic regression models were applied to calculate odds ratios (OR) for risk of ALS associated with eGFR/CKD stages. Time-to-death associated with renal parameters at baseline was assessed in ALS cases only. ALS cases were characterized by lower body mass index, slightly lower smoking prevalence, more intense occupational work and lower education than controls. Median serum cystatin-C based eGFR concentrations were lower in ALS cases than in controls (54.0 vs. 59.5 mL/min pro 1.73 m2). The prevalence of CKD stage ≥ 3 was slightly higher in ALS cases than in controls (14.1 vs. 11.0%). In the adjusted models, CKD stage 2 (OR 1.82, 95% CI 1.32, 2.52) and stage 3 (OR 2.34, 95% CI 1.38, 3.96) were associated with increased ALS risk. In this cohort of ALS cases, eGFR and CKD stage ≥ 3 (HR 0.94; 95% CI 0.64, 1.38) were not associated with prognosis. In this case–control study, higher CKD stages were associated with increased ALS risk, while in the prospective cohort of ALS cases, no indication of an association of CysC-based CKD on mortality was seen. In addition, our work strengthens the importance to evaluate renal function using a marker independent of muscle mass in ALS patients.
Myristoylated, alanine-rich C-kinase substrate (MARCKS) regulates toll-like receptor 4 signaling in macrophages
Authors: Issara-Amphorn Jiraphorn , Sjoelund Virginie H. , Smelkinson Margery , Montalvo Sebastian , Yoon Sung Hwan , Manes Nathan P. , Nita-Lazar Aleksandra 
Published: November 2023

AbstractMARCKS (myristoylated alanine-rich C-kinase substrate) is a membrane-associated protein expressed in many cell types, including macrophages. MARCKS is functionally implicated in cell adhesion, phagocytosis, and inflammation. LPS (lipopolysaccharide) triggers inflammation via TLR4 (toll-like receptor 4).The presence of MARCKS and the formation of phospho-MARCKS in various cell types have been described, but the role(s) of MARCKS in regulating macrophage functions remain unclear. We investigated the role of MARCKS in inflammation. Confocal microscopy revealed that MARCKS and phospho-MARCKS increased localization to endosomes and the Golgi apparatus upon LPS stimulation.CRISPR-CAS9 mediated knockout of MARCKS in macrophages downregulated the production of TNF and IL6, suggesting a role for MARCKS in inflammatory responses. Our comprehensive proteomics analysis together with real-time metabolic assays comparing LPS-stimulation of WT and MARCKS knock-out macrophages provided insights into the involvement of MARCKS in specific biological processes including innate immune response, inflammatory response, cytokine production, and molecular functions such as extracellularly ATP-gated cation channel activity, electron transfer activity and oxidoreductase activity, uncovering specific proteins involved in regulating MARCKS activity upon LPS stimulation. MARCKS appears to be a key regulator of inflammation whose inhibition might be beneficial for therapeutic intervention in inflammatory diseases.
Establishment and application of TSDPSO-SVM model combined with multi-dimensional feature fusion method in the identification of fracture-related infection
Authors: Hu Xiaofeng , Chen Jianmin , Zheng Xiaofei , Li Jianmei , Zhou Mingwei 
Published: November 2023

AbstractFracture-related infection (FRI) is one of the most common and intractable complications in orthopedic trauma surgery. This complication can impose severe psychological burdens and socio-economic impacts on patients. Although the definition of FRI has been proposed recently by an expert group, the diagnostic criteria for FRI are not yet standardized. A total of 4761 FRI patients and 4761 fracture patients (Non-FRI) were included in the study. The feature set of patients included imaging characteristics, demographic information, clinical symptoms, microbiological findings, and serum inflammatory markers, which were reduced by the Principal Component Analysis. To optimize the Support Vector Machine (SVM) model, the Traction Switching Delay Particle Swarm Optimization (TSDPSO) algorithm, a recognition method was proposed. Moreover, five machine learning models, including TSDPSO-SVM, were employed to distinguish FRI from Non-FRI. The Area under the Curve of TSDPSO-SVM was 0.91, at least 5% higher than that of other models. Compared with the Random Forest, Backpropagation Neural Network (BP), SVM and eXtreme Gradient Boosting (XGBoost), TSDPSO-SVM demonstrated remarkable accuracy in the test set ($$\chi^{ 2} = 29.17, \,50.46, \,56.66,\,35.88, P < 0.01$$χ2=29.17,50.46,56.66,35.88,P<0.01). The recall of TSDPSO-SVM was 98.32%, indicating a significant improvement ($$\chi^{2} = 91.78,\, 107.42, \,135.69, P < 0.01$$χ2=91.78,107.42,135.69,P<0.01). Compared with BP and SVM, TSDPSO-SVM exhibited significantly superior specificity, false positive rate and precision ($$\chi^{2} > 3.84, P < 0.05)$$χ2>3.84,P<0.05). The five models yielded consistent results in the training and testing of FRI patients across different age groups. TSDPSO-SVM is validated to have the maximum overall prediction ability and can effectively distinguish between FRI and Non-FRI. For the early diagnosis of FRI, TSDPSO-SVM may provide a reference basis for clinicians, especially those with insufficient experience. These results also lay a foundation for the intelligent diagnosis of FRI. Furthermore, these findings exhibit the application potential of this model in the diagnosis and classification of other diseases.