bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tubulin glutamylation regulates axon guidance via the selective tuning of microtubule-severing enzymes
Authors: Ten Martin Daniel , Jardin Nicolas , Vougny Juliette , Giudicelli François , Gasmi Laïla , Berbée Naomi , Henriot Véronique , Lebrun Laura , Haumaître Cécile , Kneussel Matthias , Nicol Xavier , Janke Carsten , Magiera Maria M , Hazan Jamilé , Fassier Coralie 
Published: November 2024

AbstractThe microtubule cytoskeleton is a major driving force of neuronal circuit development. Fine-tuned remodelling of this network by selective activation of microtubule-regulating proteins, including microtubule-severing enzymes, has emerged as a central process in neuronal wiring. Tubulin posttranslational modifications control both microtubule properties and the activities of their interacting proteins. However, whether and how tubulin posttranslational modifications may contribute to neuronal connectivity has not yet been addressed. Here we show that the microtubule-severing proteins p60-katanin and spastin play specific roles in axon guidance during zebrafish embryogenesis and identify a key role for tubulin polyglutamylation in their functional specificity. Furthermore, our work reveals that polyglutamylases with undistinguishable activities in vitro, TTLL6 and TTLL11, play exclusive roles in motor circuit wiring by selectively tuning p60-katanin- and spastin-driven motor axon guidance. We confirm the selectivity of TTLL11 towards spastin regulation in mouse cortical neurons and establish its relevance in preventing axonal degeneration triggered by spastin haploinsufficiency. Our work thus provides mechanistic insight into the control of microtubule-driven neuronal development and homeostasis and opens new avenues for developing therapeutic strategies in spastin-associated hereditary spastic paraplegia.
How do supernova remnants cool?
Authors: Smirnova P. , Makarenko E. I. , Clarke S. D. , Glukhov E. , Walch S. , Vaezzadeh I. , Seifried D. 
Published: November 2024

Context. About 15%-60% of all supernova remnants are estimated to interact with dense molecular clouds. In these high-density environments, radiative losses are significant. The cooling radiation can be observed in forbidden lines at optical wavelengths.
Aims. We aim to determine whether supernovae at different positions within a molecular cloud (with or without magnetic fields) can be distinguished based on their optical emission (e.g. Hα (λ 6563), Hβ (λ 4861), [O III] (λ 5007), [S II] (λ 6717, 6731), and [N II] (λ 6583)) using machine learning (e.g. principle component analysis and k-means clustering).
Methods. We have conducted a statistical analysis of the optical line emission of simulated supernovae interacting with molecular clouds that formed from the multi-phase interstellar medium modelled in the SILCC-Zoom simulations with and without magnetic fields. This work is based on the post-processing of simulations that have been carried out with the 3D (magneto)hydrodynamic code FLASH. Our dataset consists of 22 simulations. The supernovae were placed at a distance of either 25 pc or 50 pc from the molecular cloud’s centre of mass. First, we calculated optical synthetic emission maps (taking into account dust attenuation within the simulation sub-cube) with a post-processing code based on MAPPINGS V cooling tables. Second, we analysed the dataset of synthetic observations using principle component analysis to identify clusters with the k-means algorithm. In addition, we made use of BPT diagrams as a diagnostic of shock-dominated regions.
Results. We find that the presence or absence of magnetic fields has no statistically significant effect on the optical line emission. However, the ambient density distribution at the site of the supernova changes the entire evolution and morphology of the supernova remnant. Due to the different ambient densities in the 25 pc and 50 pc simulations, we are able to distinguish them in a statistically significant manner. Although, optical line attenuation within the supernova remnant can mimic this result depending on the attenuation model that is used. That is why, multi-dimensional analysis of optical emission line ratios in this work does not give extra information about the environmental conditions (ambient density and ambient magnetic field) of supernova remnant.
Oncoplastic Surgery with Volume Replacement versus Mastectomy with Implant-Based Breast Reconstruction: Early Postoperative Complications in Patients with Breast Cancer
Authors: Ku Gabriel De La Cruz , Desai Anshumi , Singhal Meera , Mallouh Michael , King Caroline , Rojas Alexis N. , Persing Sarah , Homsy Christopher , Chatterjee Abhishek , Nardello Salvatore 
Published: November 2024

Abstract
Background Two common surgical approaches for breast cancer are breast-conserving surgery and mastectomy with implant-based breast reconstruction (MIBR). However, for large tumors, an alternative to MIBR is oncoplastic surgery with volume replacement (OPSVR). We performed a comprehensive analysis comparing OPSVR with MIBR, with our aim to focus on the 30-day postoperative complications between these two techniques.
Methods We conducted a retrospective cohort study using the National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2020. Only breast cancer patients were included and were divided according to the surgical technique: OPSVR and MIBR. Logistic regression analysis was used to assess independent risk factors for total, surgical, and wound complications.
Results A cohort of 8,403 breast cancer patients was analyzed. A total of 683 underwent OPSVR and 7,720 underwent MIBR. From 2005 to 2020, the adoption of OPSVR gradually increased over the years (p < 0.001), whereas MIBR decreased. OPSVR patients were older (57.04 vs. 51.89 years, p < 0.001), exhibited a higher body mass index (31.73 vs. 26.93, p < 0.001), had a greater prevalence of diabetes mellitus (11.0 vs. 5.0%, p < 0.001). They also had a higher ASA classification (2.33 vs. 2.15, p < 0.001), shorter operative time (173.39 vs. 216.20 minutes, p < 0.001), and a higher proportion of outpatient procedures (83.7 vs. 39.5%, p < 0.001). Outcome analysis demonstrated fewer total complications in the OPSVR patients (4.2 vs. 10.9%, p < 0.001), including lower rates of surgical complications (2.2 vs. 8.0%, p < 0.001) and wound complications (1.9 vs. 4.8%, p = 0.005) compared with MIBR patients. Multivariate analysis identified OPSVR as an independent protective factor for total, surgical, and wound complications.
Conclusion OPSVR has become a favorable technique for patients with breast cancer. Even in patients with higher comorbidities, OPSVR demonstrates safe and better outcomes when compared with MIBR. It should be considered a reasonable and safe breast surgical option in the appropriate patient.
Endovascular Repair of Large Iliac Artery Pseudoaneurysm after Remote Transplant Nephrectomy
Authors: Monastiriotis Spyridon , Brezinka Taylor Leigh , Franz Randall W. 
Published: November 2024

AbstractThis case study focuses on a 49-year-old woman several years after a right transplant nephrectomy for delayed renal hemorrhage. The patient had an incidental finding of a right external iliac artery pseudoaneurysm measuring 8.1 cm at its largest dimension. Of note, the patient had undergone cardiac catheterization several months prior with right common femoral artery access. This study aimed to implement endovascular repair of posttransplant nephrectomy iliac artery pseudoaneurysms as a less invasive treatment option as compared with open repair in suitable candidates. Percutaneous access of the right common femoral artery with the deployment of a 9 × 50 mm covered stent within the right external iliac artery with the successful exclusion of the pseudoaneurysm. Postoperative course was uncomplicated, and the patient was discharged home on dual antiplatelet therapy. The patient's symptoms completely resolved after the intervention. She underwent follow-up surveillance scans, which redemonstrated a patent external iliac stent and excluded pseudoaneurysm. Endovascular repair with a covered stent for posttransplant nephrectomy iliac artery pseudoaneurysms is a safe, minimally invasive, and valuable treatment option in the absence of underlying infection.
Hypergravity – an evolutionarily novel environment, enhances the resilience of wheat to simulated drought and salinity stress
Authors: Ashiq I Mahamed , Hosamani Ravikumar , Reddy Uday G. , Bhat Ramesh S. , S. MD Akbar , K Swamy Basavalingayya 
Published: November 2024

Previous research from our lab demonstrated that hypergravity that can be simulated using tabletop centrifuges, offering significant benefits to crop plants. Hypergravity enhances seedling vigor and growth parameters in bread wheat (Triticum aestivum) variety UAS 375. This enhanced root growth phenotype is believed to boost abiotic stress tolerance by facilitating deeper access to water and nutrients from the soil. This study investigated whether hypergravity-induced root growth enhancements could offer resilience to induced drought and salt stress, and whether such benefits would extend across other wheat genotypes. Hypergravity (10g for 12 h) conferred significant tolerance to simulated drought and salt stress, evidenced by improved seedling growth parameters as well as increased chlorophyll content and proline accumulation in response to hypergravity followed by stress challenge, compared to stress challenge alone. Liquid chromatography with tandem mass spectrometry indicated dynamic phytohormone modulation, and quantitative reverse transcription polymerase chain reaction data revealed significant alterations in the expression of genes associated with antioxidant enzymes and abiotic stresses. Thus, this study further supports the view that hypergravity boosts abiotic stress resilience through genetic and hormonal dynamics. Notably, these effects were consistent across genotypes. In conclusion, this study provides evidence that hypergravity can effectively improve resilience against seedling abiotic stresses in wheat.
Assessment of humpback whale swimming speeds in two eastern Australian bays
Authors: Kela H. , de Bie J. , Paas K. H. W. , Stack S. , Franklin W. , Franklin T. , Meynecke J.-O. 
Published: November 2024

Context Humpback whales (Megaptera novaeangliae) are capital breeders, travelling several thousand kilometres between their breeding and feeding sites annually. Along the migration route, humpback whales utilise locations such as Hervey Bay and the Gold Coast bay for resting. Methods Here we used sightings data from 2066 boat-based surveys spanning 11 years. Aims To compare and analyse the sighting data and evaluate the swimming speed in Hervey Bay and the Gold Coast bay. Key results During southward migration, swimming speeds observed in Hervey Bay and the Gold Coast bay for both pods with and without calves were slower than are migration speeds reported in literature for each pod type. Whales swam faster in the Gold Coast bay (mean = 4.14 km h−1) than Hervey Bay (mean = 3.32 km h−1); however, the effect of location on swimming speed was small. In Hervey Bay, swimming speeds of pods without calves were faster (mean = 3.48 km h−1) than swimming speeds of pods with calves (mean = 3.15 km h−1). Conclusions Our findings contribute to the understanding of swimming speeds in different humpback whale cohorts and their movements in nearshore environments. Implications Understanding the importance of the role of humpback whale swimming speed in nearshore environments for assessment of habitat use can help management of such areas for effective protection of humpback whales.
Investigating behaviours and attitudes regarding recommended vaccination in adults 50 years and above in Australia
Authors: Dyda Amalie , Lawford Harriet , Lau Colleen L. , Sampson Kim 
Published: November 2024

Background Vaccination is important for adults to reduce the morbidity and mortality associated with infectious diseases. In Australia, many vaccines are recommended and funded under the Australian National Immunisation Program. However, a number of vaccines are recommended for adults but not funded. This study aimed to explore factors impacting uptake of recommended vaccines in adults aged ≥50 years in Australia. Methods An online cross-sectional survey was conducted from the general population aged ≥50 years. The survey was distributed via a market research company using a convenience sample. Data were analysed descriptively, and logistic regression was used to investigate associations between participant characteristics and vaccine uptake. Results A total of 1012 individuals completed the survey. The majority (67.4%) of participants reported it was important for adults to receive recommended vaccines. More than half (59.6%) felt that vaccination was more important for children. Over 60% of participants reported they knew the vaccines that they should receive. The primary reason reported for not receiving a vaccine was, ‘I do not believe it is necessary’. Being aged ≥66 years was significantly associated with uptake of influenza, pertussis, herpes zoster, and pneumococcal vaccines. Being female was associated with higher uptake for most vaccines, except for pneumococcal vaccine, where no significant association was found. Conclusions The importance of vaccination and risks associated with lack of vaccination need to be highlighted to this population. Recommendations from healthcare professionals continue to be one of the most important facilitators for uptake. Overall, adults reported they are unlikely to pay for recommended vaccines, making increasing uptake of these vaccines difficult.
Pest Identification and Diagnosis in Fiji: Dealing with ‘Unknowns’
Authors: Mua Mani , Vasuidreketi Toloi , Jackson Grahame , Smith Caroline , Furlong Michael 
Published: November 2024

Abstract
Diagnosing problems caused by crop pests, diseases and abiotic factors is a common challenge faced by extension officers serving farmers as ‘plant doctors’ in the field. They present with varying levels of complexity and are often classified as ‘unknowns’. ‘Unknowns’ can be categorised as either ‘simple’, ‘complex’ or ‘complete’. This case study discusses each type of unknown, providing examples of each. It then explores how information and communication technologies are used by the Fiji Plant Doctor Network (FPDN) operating on social media platforms, are able to help plant doctors identify and manage pest and disease unknowns. Despite the obvious potential that this network offers, a number of challenges remain.

Information
© The Authors 2024
Galvanostatic performance of single-particle Li-ion battery materials: a rapid diagram diagnosis assisted by a Python / C++ software
Authors: Ruderman Andrés , Gavilán-Arriazu Edgardo Maximiliano , Fernandez Francisco , Ein-Eli Yair , Leiva Ezequiel P M 
Published: November 2024

Abstract
Herein, a novel open-source software for predicting the performance of single particles of electrode materials under galvanostatic charging conditions is presented. The model improves previous work by incorporating different thermodynamic approaches to describe the interaction between intercalated ions, and the software provides tools for fitting different kinetic parameters and generating potential/capacity profiles or concentration/distance profiles to be analyzed. These features allow for detailed studies of the factors limiting the charging rate of active materials in which ions are intercalated. The diagnostic diagram is constructed through simulations of the capacity reached for a given potential cut-off, represented in the domain of two dimensionless parameters. These parameters represent kinetic and particle-size limitations for Li-ion storage. The present tool aims to facilitate the analysis of single-particle experiments, taking advantage of two different computational languages, popular in scientific computing: Python and C++. The software integrates a Python interface, for user-friendly interaction, with a C++ computational core allowing parallelization via OpenMP, for high computational performance. The software supports different thermodynamic approaches: Langmuir-Frumkin intercalation model and equilibrium potentials derived from experimental data. The inclusion of experimental insertion isotherms allows for the construction of realistic capacity diagrams. The open-source software is available at https://github.com/fernandezfran/galpynostatic/.
Event-triggered optimal control with finite-time convergence critic networks for input-constrained nonlinear systems
Authors: Liu Yizhuo , Ma Kemao 
Published: November 2024

Abstract
This paper proposes an adaptive critic design-based event-triggered optimal control method for input-constrained continuous-time nonlinear systems. Adaptive critic design is a special framework of adaptive dynamic programming that approximates the value function by a critic neural network and derives the approximate optimal control policy through analytical methods. The proposed adaptive critic design considers the control input constraints by introducing a non-quadratic cost function and employs an event-triggered mechanism to reduce the number of controller executions. Unlike the existing event-triggered adaptive critic design, this paper proposes a novel finite-time adaptive law based on regression filtering scheme. The adaptive law utilizes the error information of the network weights to ensure fast convergence to the optimal control law under the event-triggered mechanism, which improves the real-time performance of the system. Additionally, explicit bounds for each parameter in the compact set and the specific convergence time estimates are provided in the convergence analysis. Finally, the effectiveness and practicality of the proposed method for real-time online applications are validated through two simulation examples.
Hunting nonstandard neutrino interactions and leptoquarks in dark matter experiments
Authors: Schwemberger Thomas , Takhistov Volodymyr , Yu Tien-Tien 
Published: November 2024

Abstract
Next generation direct dark matter (DM) detection experiments will have unprecedented capabilities to explore coherent neutrino-nucleus scattering (CEνNS) complementary to dedicated neutrino experiments.
We demonstrate that future DM experiments can effectively probe nonstandard neutrino interactions (NSI) mediated by scalar fields in the scattering of solar and atmospheric neutrinos. We set first limits on S
1 leptoquark models that result in sizable μ - d and τ - d sector neutrino NSI CEνNS contributions using LUX-ZEPLIN (LZ) data. As we show, near future DM experiments reaching ∼ 𝒪(100) ton-year exposure, such as argon-based ARGO and xenon-based DARWIN, can probe parameter space of leptoquarks beyond the reach of current and planned collider facilities. We also analyze for the first time prospects for testing NSI in lead-based detectors.
We discuss the ability of leptoquarks in the parameter space of interest to also explain the neutrino masses and (g-2)
μ
observations.
p-wave mesons emitting weak decays of bottom mesons
Authors: Kaur Maninder , Singh Supreet Pal , Verma R. C. 
Published: November 2024

Abstract
This paper is the extension of our previous work entitled ''Searching a systematics for nonfactorizable contributions to

and

hadronic decays''. Obtaining the factorizable contributions from the spectator-quark model for

a systematics was identified among the isospin reduced amplitudes for the nonfactorizable terms among

decay modes. This systematics enables us to derive a generic formula to help predict the branching fractions for

decays. Inspired by this observation, we extend our analysis to p-wave meson emitting decays of

meson

particularly

, which have similar isospin structures and make predictions for

decays, for which experimental measurements are not yet available.
Assessing fire and explosion hazards in biomass: insights and emerging challenges
Authors: Fernandez-Anez Nieves , Hagen Bjarne C. , Amez Isabel , Tascon Alberto , Castells Blanca 
Published: November 2024

Abstract
Solid biofuels are one of the main energy industries, where fire and explosions have occurred during the last decades. This industry continues growing, however, the fundamental understanding of these materials is still limited and far from what is needed to ensure a safe working environment. A complete characterization of materials is essential to address this point, but a complete framework has not been developed. Different methodologies, testing parameters, testing equipment, etc. are used depending on the laboratory or the facilities. This lack of procedures introduces high uncertainties in the field, that are increased by the common idea of comparing results from different procedures without being consistently gathered. This problem has been detected when studying several characteristics of biomass: composition, particle size, particle shape, thermogravimetric analysis are examples of these situations. A complete review and the development of new standards to standardize the situation are pressing and should be addressed in the near future.
Lateral Flame Spread Over Thermally Thin Fuels: Theoretical Prediction of Flame Spread Rate and Experimental Validation
Authors: Bhattacharjee Subrata , Panzer Felix 
Published: November 2024

Abstract
Flame spread over solid fuel is a fundamental problem in fire safety science. Although it has been studied in different orientations – downward, upward, horizontal, and lateral – closed-form formula for predicting the flame spread rate is only available for opposed-flow configuration and has been experimentally verified in downward configuration, a special case of opposed-flow flame spread. In this work we present a simplified theory to predict the flame spread rate when a vertical flame spreads sideways (laterally) on both sides (symmetrically) of a thermally thin sample held horizontally in a quiescent normal-gravity environment. The ratio of flame spread rates between the lateral and downward orientations are shown to depend only on the flame coefficient, a non-dimensional known temperature ratio, and the Prandtl number. Experiments are performed in both downward and lateral configurations with a series of samples with fuel thickness ranging from 400 through 1500 µm and width from 10 through 60 mm as parameters. The spread rate ratio between the two configurations is compared to the theoretical prediction with reasonable agreement. As predicted by the theory, the spread rate ratio is found to be independent of fuel thickness and fuel width for laminar flame spread.
Conditions for the onset of char oxidation in timber
Authors: Schmidt Laura , Hadden Rory M 
Published: November 2024

Abstract
Smouldering combustion poses fire safety hazards for timber construction, particularly after the extinction of the flaming compartment fire. The conditions under which smouldering can be initiated and sustained are of interest in quantifying this hazard. Smouldering involves the simultaneous processes of pyrolysis and char oxidation; however, studying them together introduces challenges as they are highly coupled. Separating these processes by using char instead of virgin timber allows char oxidation to be studied in isolation from other processes. Char was generated anaerobically at 400 °C in a muffle furnace. Char oxidation did not occur at 7 kW/m2. Incipient char oxidation was apparent in 1/3 cases at 8 kW/m2 and 2/3 cases at 9 kW/m2. At 10 kW/m2, all samples showed a distinct onset of char oxidation. Temperature measurements showed that non-reacting samples behaved similarly to an inert heated solid, except for some moisture evaporation, reaching steady state temperatures after 30 min. The temperature 2 mm beneath the surface exceeded 200°C when char oxidation occurred and reached up to 490 °C, which correlates well with the main oxidation temperature range of this char of 350 °C to 490 °C found through thermogravimetric analysis. The onset of char oxidation was characterised by a rapid increase in carbon generation (up to 0.0039 g/s CO and 0.0097 g/s CO2, which equals 0.23 g/min and 0.58 g/min, respectively) and a heat release rate of approximately 53 kW/m2.