bluuebunny/crossref_metadata_2025_split huggingface dataset:
Logistic regression approach on classifying air-pollution events: a parsimony technique
Authors: Masseran Nurulkamal 
Published: September 2024

Abstract
This study deals with the problem of classifying extreme and nonextreme air pollution events using the logistic regression technique, which is a model specifically developed for binary classification. Aiming at the features engineering of duration, intensity, and severity size of air pollution events, this study presents logistic regression as a parsimonious yet effective model. A case study was performed in Klang, Malaysia. Inductive learning with a basis of data mining framework was employed to train and test the accuracy of logistic regression. The results revealed a high precision and low generalization error for both extreme and nonextreme air pollution events. In conclusion, logistic regression is a suitable and efficient machine learning model for the classification of air pollution events. Further investigation is warranted to incorporate topological characteristics of air pollution events as additional features in training logistic regression models, which can potentially offer valuable insights into the behavior of air pollution events and improve the classification process.
The climate-energy nexus: a critical review of power grid components, extreme weather, and adaptation measures
Authors: Garland Jasmine , Baker Kyri , Livneh Ben 
Published: September 2024

Abstract
Extreme weather events and weather anomalies are on the rise, creating unprecedented struggles for the electrical power grid. With the aging of the United States power grid, the status quo for maintaining the transmission and distribution system, demand, generation, and operations will no longer suffice under the current and future conditions. Such conditions will require a shift in thinking and operating the power grid toward a weather-driven power system. This paper conducts a comprehensive review of each component of the power grid regarding the current leading weather events related to major power outages in the United States. For each event, contemporary issues and possible adaptations are presented, following a parallel comparison of the power grid development and knowledge of global climate modeling. Further, a background in global climate modeling is provided through the lens of an energy professional to aid in emission scenarios used in future studies. Overall, this paper works toward bridging the gap between weather and climate-related studies and operating the power grid in an uncertain climatic landscape while offering possible adaptations and solutions at a short-term and long-term scale.
On the maximal spectral type of nilsystems
Authors: Ackelsberg Ethan , Richter Florian , Shalom Or 
Published: September 2024

Let

(
G

/

Γ
,

R
a

)

(G/\Gamma ,R_a)

be an ergodic

k
k

-step nilsystem for

k
≥
2

k\geq 2

. We adapt an argument of Parry [Topology 9 (1970), pp. 217–224] to show that

L
2

(
G

/

Γ
)

L^2(G/\Gamma )

decomposes as a sum of a subspace with discrete spectrum and a subspace of Lebesgue spectrum with infinite multiplicity. In particular, we generalize a result previously established by Host–Kra–Maass [J. Anal. Math. 124 (2014), pp. 261–295] for

2
2

-step nilsystems and a result by Stepin [Uspehi Mat. Nauk 24 (1969), pp. 241–242] for nilsystems

G

/

Γ

G/\Gamma

with connected, simply connected

G
G

.
Metric comparison of connectome-based lesion-symptom mapping in post-stroke aphasia
Authors: Ding Junhua , Thye Melissa , Edmondson-Stait Amelia J , Szaflarski Jerzy P , Mirman Daniel 
Published: September 2024

Abstract
Connectome-based lesion-symptom mapping relates behavioural impairments to disruption of structural brain connectivity. Connectome-based lesion-symptom mapping can be based on different approaches (diffusion MRI versus lesion mask), network scales (whole brain versus regions of interest) and measure types (tract-based, parcel-based, or network-based metrics). We evaluated the similarity of different connectome-based lesion-symptom mapping processing choices and identified factors that influence the results using multiverse analysis—the strategy of conducting and displaying the results of all reasonable processing choices. Metrics derived from lesion masks and diffusion-weighted images were tested for association with Boston Naming Test and Token Test performance in a sample of 50 participants with aphasia following left hemispheric stroke. ‘Direct’ measures were derived from diffusion-weighted images. ‘Indirect’ measures were derived by overlaying lesion masks on a white matter atlas. Parcel-based connectomes were constructed for the whole brain and regions of interest (14 language-relevant parcels). Numerous tract-based and network-based metrics were calculated. There was a high discrepancy across processing approaches (diffusion-weighted images versus lesion masks), network scales (whole brain versus regions of interest) and metric types. Results indicate weak correlations and different connectome-based lesion-symptom mapping results across the processing choices. Substantial methodological work is needed to validate the various decision points that arise when conducting connectome-based lesion-symptom mapping analyses. Multiverse analysis is a useful strategy for evaluating the similarity across different processing choices in connectome-based lesion-symptom mapping.
Landscape of the metaplasmidome of deep-sea hydrothermal vents located at Arctic Mid-Ocean Ridges in the Norwegian–Greenland Sea: ecological insights from comparative analysis of plasmid identification tools
Authors: Ciuchcinski Karol , Stokke Runar , Steen Ida Helene , Dziewit Lukasz 
Published: September 2024

Abstract
Plasmids are one of the key drivers of microbial adaptation and evolution. However, their diversity and role in adaptation, especially in extreme environments, remains largely unexplored. In this study, we aimed to identify, characterize, and compare plasmid sequences originating from samples collected from deep-sea hydrothermal vents located in Arctic Mid-Ocean Ridges. To achieve this, we employed, and benchmarked three recently developed plasmid identification tools—PlasX, GeNomad, and PLASMe—on metagenomic data from this unique ecosystem. To date, this is the first direct comparison of these computational methods in the context of data from extreme environments. Upon recovery of plasmid contigs, we performed a multiapproach analysis, focusing on identifying taxonomic and functional biases within datasets originating from each tool. Next, we implemented a majority voting system to identify high-confidence plasmid contigs, enhancing the reliability of our findings. By analysing the consensus plasmid sequences, we gained insights into their diversity, ecological roles, and adaptive significance. Within the high-confidence sequences, we identified a high abundance of Pseudomonadota and Campylobacterota, as well as multiple toxin–antitoxin systems. Our findings ensure a deeper understanding of how plasmids contribute to shaping microbial communities living under extreme conditions of hydrothermal vents, potentially uncovering novel adaptive mechanisms.
Isolation and characterization of Saccharomyces cerevisiae mutants with increased cell wall chitin using fluorescence-activated cell sorting
Authors: Chuene Lesiba Tyrone , Ndlovu Thulile , Rossouw Debra , Naidoo-Blassoples Rene Kathleen , Bauer Florian Franz 
Published: September 2024

Abstract
Yeast cell wall chitin has been shown to bind grape pathogenesis-related chitinases that are the primary cause of protein haze in wines, suggesting that yeast cell walls may be applied for haze protection. Here, we present a high-throughput screen to identify yeast strains with high cell wall chitin using a reiterative enrichment strategy and fluorescence-activated cell sorting of cells labelled with either GFP-tagged chitinase or Calcofluor white. To assess the validity of the strategy, we first used a pooled deletion strain library of Saccharomyces cerevisiae. The strategy enriched for deletion mutants with genes that had previously been described as having an impact on chitin levels. Genes that had not previously been linked to chitin biosynthesis or deposition were also identified. These genes are involved in cell wall maintenance and/or membrane trafficking functions. The strategy was then applied to a mutagenized population of a commercial wine yeast strain, S. cerevisiae EC1118. Enriched mutant strains showed significantly higher cell wall chitin than the wild type and significantly reduced the activity of chitinases in synthetic model wine, suggesting that these strains may be able to reduce haze formation in wine.
Genetic and biochemical characterization of OXA-1186, a novel OXA-198-type carbapenemase hydrolysing cephalosporins in Citrobacter freundii
Authors: Vanparis Oceane , Oueslati Saoussen , Girlich Delphine , Jousset Agnès B , Guyot Caroline , Delaval Anne , Naas Thierry , Dortet Laurent , Bonnin Rémy A 
Published: September 2024

Abstract

Objectives
This study described OXA-1186, a novel carbapenemase related to OXA-198 carbapenemase and produced by a clinical isolate of Citrobacter freundii.

Methods
WGS was used to characterize the resistome, virulome and plasmid types of the C. freundii 315C8 isolate and to reconstruct the blaOXA-1186-carrying plasmid. Disc diffusion and broth microdilution assays were used to determine MICs. The blaOXA-1186 gene was cloned into plasmid pTOPO and then transformed into Escherichia coli TOP10 or HB4. It was also cloned in pET41b and transformed into E. coli BL21 DE3 for protein purification. Steady-state kinetic parameters were determined on purified OXA-1186.

Results
C. freundii 315C8, belonging to ST8, was resistant to penicillins including temocillin and broad-spectrum cephalosporins and displayed reduced susceptibility to carbapenems. It was negative for one of the five main carbapenemases. WGS revealed that the blaOXA-1186 gene encoded a novel carbapenemase that shared 83% amino acid identity with OXA-198. The blaOXA-1186 gene was carried on an IncP6-type plasmid and was embedded within a class 1 integron. Cloning and expression in E. coli revealed that expression of the blaOXA-1186 gene conferred resistance to penicillins, cephalosporins and carbapenems, where it was associated with impaired outer membrane permeability. Kinetic parameters confirmed the hydrolysis of ceftazidime, cefepime and aztreonam, in addition to imipenem and meropenem.

Conclusions
Here, we described a novel carbapenemase, OXA-1186, identified in C. freundii. Unlike OXA-198, OXA-1186 is able to hydrolyse broad-spectrum cephalosporins. This carbapenemase was carried on a broad-spectrum IncP6 plasmid identified in other Citrobacter species and non-fermenters.
Spermidine supplementation influence on protective enzymes of Apis mellifera (Hymenoptera: Apidae)
Authors: Čelić Tatjana V , Đorđievski Srđana , Vukašinović Elvira L , Pihler Ivan , Kojić Danijela , Purać Jelena 
Published: September 2024

Abstract
Dietary supplementation has been proposed as a sustainable way to improve the health and resilience of honey bees (Apis mellifera, L.), as the decline in their numbers in recent decades has raised scientific, environmental, and economic concerns. Spermidine, a natural polyamine, has been shown to be a promising substance for honey bee supplementation, as its health-promoting effects have been demonstrated in numerous studies and in different organisms. As already shown, supplementation with spermidine at a certain concentration prolonged lifespan, reduced oxidative stress, and increased antioxidative capacity in honey bees. The aim of the present study was to investigate whether spermidine supplementation affects gene expression and/or enzyme activity of antioxidative and detoxification enzymes and immune response markers in honey bee workers. The different gene expression and enzyme activity patterns observed in abdominal and head tissues in response to spermidine supplementation suggest tissue-specific and concentration-dependent effects. In addition, the immune response markers suggest that spermidine has the ability to boost honey bee immunity. The observed changes make a valuable contribution to understanding the molecular mechanisms by which spermidine may exert its beneficial effects on the bee’s health and lifespan. These results support the idea of the use of spermidine supplementation to promote bee health and resilience to environmental stressors, emphasizing that the dose must be carefully chosen to achieve a balance between the pro- and antioxidant effects of spermidine.
Riparian plant community structure and assembly processes differed by variations in riverbank curvatures: implications for restoring habitats along the Three Gorges Reservoir
Authors: Li Xiaohong , Huang Jinxia , Bai Zuncheng , Zou Hang , Wang Wanyu , Qi Wanyu , Ma Maohua 
Published: September 2024

Abstract
A meandering riverbank plays a vital role in maintaining natural river ecosystems, providing habitats for riparian vegetation. However, dams have significantly altered riverbank shapes. To restore the riparian ecosystems, it is imperative to understand how different riverbank curvatures influence them. This study aims to uncover the ecological impacts of riverbank curvature on the structure and assembly process of plant communities in the riparian zone of the Yangtze River, regulated by the Three Gorges Dam (TGD) in China. We categorized the riparian zones into four types: cove, lobe, wavy and linear shapes. We documented the composition and diversity of riparian plant communities. Our findings revealed that wavy and cove riverbanks exhibited greater species diversity (with Shannon–Wiener diversity index values 1.5× higher) compared to communities along linear riverbanks. Furthermore, the analysis of functional traits indicated that wavy riverbanks promoted the differentiation of plant functional traits, thus enhancing ecosystem functions, with functional dispersion index (FDis) values 1.3 times higher than those of linear riverbanks. Significant variations in the assembly of riparian communities were also observed among different riverbanks, with standardized effect size (SES) values indicating a higher degree of niche differentiation in cove riverbanks (SES = 0.4) compared to linear riverbanks (SES = –0.6). These results highlight the ecological importance of diverse riverbank curvatures in influencing the diversity, structure and assembly of riparian communities along the waterway. In summary, this study underscores the necessity of maintaining or restoring various natural morphological curvatures when rehabilitating riparian communities along rivers impacted by human activities.
Fossil groups analysis using weak gravitational lensing
Authors: Castejon M , Cypriano E S , Vitorelli A Z 
Published: September 2024

ABSTRACT
The overall objective of this study is to investigate claims found in the literature that fossil groups, characterized by a large magnitude gap between their two brightest galaxies, are darker, i.e. exhibit higher mass-to-light (M/L) ratios, compared to regular groups. Specifically, we aim to measure the mass of these systems using the weak gravitational lensing technique. To achieve this, we obtained deep images of four fossil systems with the CFHT telescope in the $r$ and g bands. Through a careful process of weak gravitational shear measurement, including corrections for the point spread function (PSF) and contamination from group and foreground galaxies, we fit NFW models and obtained mass measurements as a result. Similarly, we quantified the light distribution produced by these groups, taking into account relevant data gaps in the images due to the presence of bright stars, as well as contamination from foreground and background galaxies. We obtained masses and M/L ratios that are consistent with previous results where mass was estimated from galaxy dynamics. Indeed, the four fossil systems studied here exhibit high M/L ratios compared to the general population of systems. Drawing more generalizable conclusions from a sample of only four systems is challenging. However, the procedure outlined in this study can be applied to large image surveys, allowing for a revisiting of this question with significantly reduced statistical uncertainties. This will enable a more homogeneous comparison between fossil groups and clusters and the overall population.
Exploring the catastrophic regime: thermodynamics and disintegration in head-on planetary collisions
Authors: Dou Jingyao , Carter Philip J , Lock Simon , Leinhardt Zoë M 
Published: September 2024

ABSTRACT
Head-on giant impacts (collisions between planet-sized bodies) are frequently used to study the planet formation process as they present an extreme configuration where the two colliding bodies are greatly disturbed. With limited computing resources, focusing on these extreme impacts eases the burden of exploring a large parameter space. Results from head-on impacts are often then extended to study oblique impacts with angle corrections or used as initial conditions for other calculations, for example, the evolution of ejected debris. In this study, we conduct a detailed investigation of the thermodynamic and energy budget evolution of high-energy head-on giant impacts, entering the catastrophic impacts regime, for target masses between 0.001 and 12 M$_{{\oplus }}$. We demonstrate the complex interplay of gravitational forces, shock dynamics, and thermodynamic processing in head-on impacts at high energy. Our study illustrates that frequent interactions of core material with the liquid side of the vapour curve could have cumulative effects on the post-collision remnants, leading to fragmentary disintegration occurring at lower impact energy. This results in the mass of the largest remnant diverging significantly from previously developed scaling laws. These findings suggest two key considerations: (1) head-on planetary collisions for different target masses do not behave similarly, so caution is needed when applying scaling laws across a broad parameter space; and (2) an accurate model of the liquid-vapour phase boundary is essential for modelling giant impacts. Our findings highlight the need for careful consideration of impact configurations in planetary formation studies, as head-on impacts involve a complex interplay between thermodynamic processing, shocks, gravitational forces, and other factors.
Relativistic X-ray reflection from the accreting millisecond X-ray pulsar IGR J17498−2921
Authors: Bhattacharya Mahasweta , Mondal Aditya S , Pahari Mayukh , Raychaudhuri Biplab , Ghosh Rohit , Dewangan Gulab C 
Published: September 2024

ABSTRACT
The accreting millisecond X-ray pulsar IGR J17498−2921 went into X-ray outburst on 2023 April 13–15, for the first time since its discovery on 2011 August 11. Here, we report on the first follow-up NuSTAR observation of the source, performed on 2023 April 23, around 10 d after the peak of the outburst. The NuSTAR spectrum of the persistent emission (3–60 keV band) is well described by an absorbed blackbody with a temperature of $kT_{\mathrm{ bb}}=1.61\pm 0.04$ keV, most likely arising from the NS surface and a Comptonization component with power-law index $\Gamma =1.79\pm 0.02$, arising from a hot corona at $kT_{e}=16\pm 2$ keV. The X-ray spectrum of the source shows robust reflection features which have not been observed before. We use a couple of self-consistent reflection models, relxill and relxillCp , to fit the reflection features. We find an upper limit to the inner disc radius of $6\: R_{\mathrm{ ISCO}}$ and $9\: R_{\mathrm{ ISCO}}$ from relxill and relxillCp model, respectively. The inclination of the system is estimated to be $\simeq 40^{\circ }$ from both reflection models. Assuming magnetic truncation of the accretion disc, the upper limit of magnetic field strength at the pole of the NS is found to be $B\lesssim 1.8\times 10^{8}$ G. Furthermore, the NuSTAR observation revealed two type-I X-ray bursts and the burst spectroscopy confirms the thermonuclear nature of the burst. The blackbody temperature reaches nearly 2.2 keV at the peak of the burst.
White dwarf eccentricity fluctuation and dissipation by AGB convection
Authors: Cohen Yair , Ginzburg Sivan , Levy Maya , Bar Shalom Tal , Siman Tov Yoav 
Published: September 2024

ABSTRACT
Millisecond pulsars with white dwarf companions have typical eccentricities $e\sim 10^{-6}{\!-\!}10^{-3}$. The eccentricities of helium white dwarfs are explained well by applying the fluctuation–dissipation theorem to convective eddies in their red giant progenitors. We extend this theory to more massive carbon–oxygen (CO) white dwarfs with asymptotic giant branch (AGB) progenitors. Due to the radiation pressure in AGB stars, the dominant factor in determining the remnant white dwarf’s eccentricity is the critical residual hydrogen envelope mass $m_{\rm env}$ required to inflate the star to giant proportions. Using a suite of mesa stellar evolution simulations with $\Delta m_{\rm c}=10^{-3}\, {\rm M}_{\odot }$ core-mass intervals, we resolved the AGB thermal pulses and found that the critical $m_{\rm env}\propto m_{\rm c}^{-6}$. The resulting eccentricity $e\sim 3\times 10^{-3}$ is almost independent of the remnant CO white dwarf’s mass $m_{\rm c}$. Nearly all of the measured eccentricities lie below this robust theoretical limit, indicating that the eccentricity is damped during the common-envelope inspiral that follows the unstable Roche lobe overflow of the AGB star. Specifically, we focused on white dwarfs with median masses $m_{\rm c}\gt 0.6\, {\rm M}_{\odot }$. These massive white dwarfs begin their inspiral with practically identical orbital periods and eccentricities, eliminating any dependence on the initial conditions. For this sub-sample, we find an empirical relation $e\propto P^{3/2}$ between the final period and eccentricity that is much tighter than previous studies – motivating theoretical work on the eccentricity evolution during the common envelope phase. The eccentricities of lower mass CO white dwarfs may be explained by alternative formation channels.
Agonistic song rate positively correlates with male breeding success and avian malaria infection in Acrocephalus paludicola (Aquatic Warbler), a promiscuous songbird with female-only parental care
Authors: Kubacka Justyna , Dubiec Anna , Souza Arantes Larissa , Herdegen-Radwan Magdalena , Mazzoni Camila J , Sparmann Sarah , Osiejuk Tomasz S 
Published: September 2024

ABSTRACT
The link between male song and reproductive success has been explored at length in socially monogamous birds, but results were inconsistent and under-represented socially non-monogamous species with uniparental care. Here, we evaluated whether metrics of male song in Acrocephalus paludicola (Aquatic Warbler), a promiscuous songbird with female-only care and large repertoires, are associated with fitness- and quality-related traits. We showed that the number of 9-day-old nestlings fathered and probability of avian malaria infection increased with the rate of agonistic song, produced in male–male interactions, and that male scaled mass index (proxy for energy reserves) positively correlated with the repertoire size. The male breeding success was not explained by repertoire size and song duty cycle. None of the song variables clearly explained the male return rate or change in the tarsus length (proxy for structural body size) and scaled mass index of the fathered chicks between days 2 and 9 post-hatch. No other relationships between the song characteristics and the inbreeding coefficient, scaled mass index, wing-length and Trypanosoma infection status of the males were supported, and Plasmodium infection was unrelated to the song duty cycle and repertoire size. We conclude that in male A. paludicola the repertoire size could be a signal of early developmental stress or current body condition, and the agonistic song rate could be shaped by sexual selection and signal to females a genetic makeup that enhances survival upon infection by Plasmodium.