bluuebunny/crossref_metadata_2025_split huggingface dataset:
In the Lyme light: individual trait determinants of Borrelia burgdorferi infection in Peromyscus mice
Authors: Yen Ivy , Gardner Allison , Mortelliti Alessio 
Published: November 2023

Abstract
Disease ecologists commonly use abiotic factors (e.g. temperature and moisture) or measures of biodiversity (e.g. species richness) to predict Lyme disease transmission patterns, but variance in infection probability among individuals within a population is poorly understood. Most studies assume intraspecific consistency, but recent evidence suggests that individual traits, such as animal personality, may drive differences in encounter rates with infected vectors and pathogen transmission probabilities through differential space use and microhabitat selection, leading to intraspecific variation in infection probability. In addition, because vectors and hosts are nonrandomly distributed across a landscape, land-use changes that modify key habitat features—such as forest management practices—may substantially alter associations between individual traits and infection probability. To address these gaps in our knowledge, we used a large-scale capture–mark–recapture study targeting Peromyscus mice in Maine, United States, to test whether personality drives probability of Borrelia burgdorferi infection in hosts within managed forest compartments with different silvicultural treatments. Specifically, we tested effects of individual phenotypic traits (physical and behavioral) and environmental traits (microhabitat and forest type) on infection probability within 2 species: P. leucopus and P. maniculatus. We found evidence that boldness negatively influences infection probability in P. maniculatus, and that body mass positively influences infection probability in both species. We found no effect of mouse density, microhabitat, or forest type in our analyses. These results suggest that personalities vary in their functional contributions to the natural cycle of B. burgdorferi, and that broader integration of behavioral diversity in disease ecology studies may aid in identifying key transmission zones for this rapidly expanding vector-borne zoonosis.
Kinematical coherence between satellite galaxies and host stellar discs for MaNGA and SAMI galaxies
Authors: Wang Sen , Xu Dandan , Lu Shengdong , Li Cheng 
Published: November 2023

ABSTRACT
The effect of angular momentum on galaxy formation and evolution has been studied for several decades. Our recent two papers using IllustrisTNG-100 simulation have revealed the acquisition path of the angular momentum from large-scale environment (satellites within hundreds of kpc) through the circumgalactic medium (CGM) to the stellar discs, putting forward the co-rotation scenario across the three distance scales. In real observations, although the rotation signature for the CGM and environmental three-dimensional angular momentum are difficult to obtain, line-of-sight kinematics of group member galaxies and stellar disc kinematics of central galaxies are available utilizing existing group catalogue data and integral field unit (IFU) data. In this paper, we use (1) the group catalogue of SDSS DR7 and MaNGA IFU stellar kinematic maps and (2) the group catalogue of GAMA DR4 data and SAMI IFU stellar kinematic maps, to test if the prediction above can be seen in real data. We found the co-rotation pattern between stellar discs and satellites can be concluded with 99.7 per cent confidence level (∼3σ) when combining the two data sets. And the random tests show that the signal can be scarcely drawn from random distribution.
Data compression and inference in cosmology with self-supervised machine learning
Authors: Akhmetzhanova Aizhan , Mishra-Sharma Siddharth , Dvorkin Cora 
Published: November 2023

ABSTRACT
The influx of massive amounts of data from current and upcoming cosmological surveys necessitates compression schemes that can efficiently summarize the data with minimal loss of information. We introduce a method that leverages the paradigm of self-supervised machine learning in a novel manner to construct representative summaries of massive data sets using simulation-based augmentations. Deploying the method on hydrodynamical cosmological simulations, we show that it can deliver highly informative summaries, which can be used for a variety of downstream tasks, including precise and accurate parameter inference. We demonstrate how this paradigm can be used to construct summary representations that are insensitive to prescribed systematic effects, such as the influence of baryonic physics. Our results indicate that self-supervised machine learning techniques offer a promising new approach for compression of cosmological data as well as its analysis.
High-energy neutrino-induced cascade from the direction of the flaring radio blazar TXS 0506 + 056 observed by Baikal-GVD in 2021
Authors: Allakhverdyan V A , Avrorin A D , Avrorin A V , Aynutdinov V M , Bardačová Z , Belolaptikov I A , Bondarev E A , Borina I V , Budnev N M , Chadymov V A , Chepurnov A S , Dik V Y , Domogatsky G V , Doroshenko A A , Dvornický R , Dyachok A N , Dzhilkibaev Zh-A M , Eckerová E , Elzhov T V , Fajt L , Fomin V N , Gafarov A R , Golubkov K V , Gorshkov N S , Gress T I , Kebkal K G , Kharuk I , Khramov E V , Kolbin M M , Koligaev S O , Konischev K V , Korobchenko A V , Koshechkin A P , Kozhin V A , Kruglov M V , Kulepov V F , Lemeshev Y E , Milenin M B , Mirgazov R R , Naumov D V , Nikolaev A S , Petukhov D P , Pliskovsky E N , Rozanov M I , Ryabov E V , Safronov G B , Seitova D , Shaybonov B A , Shelepov M D , Shilkin S D , Shirokov E V , Šimkovic F , Sirenko A E , Skurikhin A V , Solovjev A G , Sorokovikov M N , Štekl I , Stromakov A P , Suvorova O V , Tabolenko V A , Ulzutuev B B , Yablokova Y V , Zaborov D N , Zavyalov S I , Zvezdov D Y ,   (Baikal-GVD Collaboration), Erkenov A K , Kosogorov N A , Kovalev Yu A , Kovalev Y Y , Plavin A V , Popkov A V , Pushkarev A B , Semikoz D V , Sotnikova Y V , Troitsky S V 
Published: November 2023

ABSTRACT
The existence of high-energy astrophysical neutrinos has been unambiguously demonstrated, but their sources remain elusive. IceCube reported an association of a 290-TeV neutrino with a gamma-ray flare of TXS 0506 + 056, an active galactic nucleus with a compact radio jet pointing to us. Later, radio-bright blazars were shown to be associated with IceCube neutrino events with high statistical significance. These associations remained unconfirmed with the data of independent experiments. Here, we report on the detection of a rare neutrino event with the estimated energy of 224 ± 75 TeV from the direction of TXS 0506 + 056 by the new Baikal Gigaton Volume Detector (Baikal-GVD) in April 2021. This event is the highest energy cascade detected so far by the Baikal-GVD neutrino telescope from a direction below horizon. The result supports previous suggestions that radio blazars in general, and TXS 0506 + 056 in particular, are the sources of high-energy neutrinos, and opens up the cascade channel for the neutrino astronomy.
Investigating the accelerated expansion of the Universe through updated constraints on viable f(R) models within the metric formalism
Authors: Ravi Kumar , Chatterjee Anirban , Jana Biswajit , Bandyopadhyay Abhijit 
Published: November 2023

ABSTRACT
Modified theories of gravity encompass a class of f(R) models that seek to elucidate the observed late-time accelerated expansion of the universe. In this study, we examine a set of viable f(R) models (Hu–Sawicki: two cases, Satrobinsky, Tsujikawa, exponential and arcTanh models) in metric formalism, using recent cosmological data sets: type Ia supernovae data, cosmic chronometer observations, baryonic acoustic oscillations data, data from H ii starburst galaxies, local measurements of the Hubble parameter (H0), and cosmic microwave background radiation data. We re-parametrize the f(R) models using a distortion/deviation parameter (b) which is a measure of their deviation from the lambda-cold dark matter (ΛCDM) model. Taking into account the ‘Hubble tension,’ we perform the study both with and without a Gaussian prior for H0 from local measurements, following the standard statistical procedures for constraining parameters and comparing models. Our findings are as follows: (i) in many cases the f(R) models are strongly favoured over the standard ΛCDM model, (ii) the deviation parameter (b) significantly deviates from zero in several cases, (iii) the inclusion of local H0 not only increases the fitted value of H0 (as expected) but also affects the gap between predictions of f(R) models and the ΛCDM model, and (iv) the relevant quantities characterizing the (accelerated) expansion of the universe such as transition redshift and the equations-of-state parameters, obtained in our models, are consistent with those obtained in a model-independent way by others. Our investigation and results present a compelling case for pursuing further research on f(R) models with future observations to come.
Geographic differences in the diet and isotopic niche of Octopus hubbsorum (Cephalopoda: Octopodidae) in the Mexican Pacific
Authors: Mazariegos-Villarreal Alejandra , Chávez-Pillado Andrea Grissel , León-Cisneros Karla , Granados-Amores Jasmín , Acosta-Pachón Tatiana A , Medina-López Marco Antonio , Serviere-Zaragoza Elisa 
Published: November 2023

ABSTRACT
Octopus hubbsorum is an important fisheries resource in the Mexican Pacific and a link among different trophic levels due to its ecological role as both predator and prey. In this study, the spatial variations in the diet, isotopic niche and trophic position of O. hubbsorum were determined by analysing digestive contents along with carbon and nitrogen stable isotopes. Octopuses were sampled from four locations, three in the Gulf of California ecoregion and one in the Mexican Pacific transition ecoregion. The diet of O. hubbsorum consisted of 11 major taxonomic groups. Crustaceans were the most important prey, although some individuals consumed high proportions of polychaetes, eggs and cephalopods. The stable isotope values showed high variation (−15.86 to −13.76‰ δ13C; 14.80–17.23‰ δ15N), reflecting signals of the base of the food web at the four locations. Differences in trophic positions and isotopic niches confirm the role of this species as a generalist predator, as it can shift among alternate food sources according to local availability. Overall, our results suggest that O. hubbsorum has a similar ecological role at all locations as a predator of crustaceans and, to a lesser extent, of molluscs and fish.
Interrogating two extensively self-targeting Type I CRISPR-Cas systems in Xanthomonas albilineans reveals distinct anti-CRISPR proteins that block DNA degradation
Authors: Wimmer Franziska , Englert Frank , Wandera Katharina G , Alkhnbashi Omer S , Collins Scott P , Backofen Rolf , Beisel Chase L 
Published: November 2023

Abstract
CRISPR-Cas systems store fragments of invader DNA as spacers to recognize and clear those same invaders in the future. Spacers can also be acquired from the host's genomic DNA, leading to lethal self-targeting. While self-targeting can be circumvented through different mechanisms, natural examples remain poorly explored. Here, we investigate extensive self-targeting by two CRISPR-Cas systems encoding 24 self-targeting spacers in the plant pathogen Xanthomonas albilineans. We show that the native I-C and I-F1 systems are actively expressed and that CRISPR RNAs are properly processed. When expressed in Escherichia coli, each Cascade complex binds its PAM-flanked DNA target to block transcription, while the addition of Cas3 paired with genome targeting induces cell killing. While exploring how X. albilineans survives self-targeting, we predicted putative anti-CRISPR proteins (Acrs) encoded within the bacterium's genome. Screening of identified candidates with cell-free transcription-translation systems and in E. coli revealed two Acrs, which we named AcrIC11 and AcrIF12Xal, that inhibit the activity of Cas3 but not Cascade of the respective system. While AcrF12Xal is homologous to AcrIF12, AcrIC11 shares sequence and structural homology with the anti-restriction protein KlcA. These findings help explain tolerance of self-targeting through two CRISPR-Cas systems and expand the known suite of DNA degradation-inhibiting Acrs.
Chromatin accessibility and pioneer factor FOXA1 restrict glucocorticoid receptor action in prostate cancer
Authors: Helminen Laura , Huttunen Jasmin , Tulonen Melina , Aaltonen Niina , Niskanen Einari A , Palvimo Jorma J , Paakinaho Ville 
Published: November 2023

Abstract
Treatment of prostate cancer relies predominantly on the inhibition of androgen receptor (AR) signaling. Despite the initial effectiveness of the antiandrogen therapies, the cancer often develops resistance to the AR blockade. One mechanism of the resistance is glucocorticoid receptor (GR)-mediated replacement of AR function. Nevertheless, the mechanistic ways and means how the GR-mediated antiandrogen resistance occurs have remained elusive. Here, we have discovered several crucial features of GR action in prostate cancer cells through genome-wide techniques. We detected that the replacement of AR by GR in enzalutamide-exposed prostate cancer cells occurs almost exclusively at pre-accessible chromatin sites displaying FOXA1 occupancy. Counterintuitively to the classical pioneer factor model, silencing of FOXA1 potentiated the chromatin binding and transcriptional activity of GR. This was attributed to FOXA1-mediated repression of the NR3C1 (gene encoding GR) expression via the corepressor TLE3. Moreover, the small-molecule inhibition of coactivator p300’s enzymatic activity efficiently restricted GR-mediated gene regulation and cell proliferation. Overall, we identified chromatin pre-accessibility and FOXA1-mediated repression as important regulators of GR action in prostate cancer, pointing out new avenues to oppose steroid receptor-mediated antiandrogen resistance.
Homeostatic iron regulatory protein drives glioblastoma growth via tumor cell-intrinsic and sex-specific responses
Authors: Troike Katie M , Wang Sabrina Z , Silver Daniel J , Lee Juyeun , Mulkearns-Hubert Erin E , Hajdari Nicole , Ghosh Prabar K , Kay Kristen E , Beilis Julia L , Mitchell Sofia E , Bishop Christopher W , Hong Ellen S , Artomov Mykyta , Hubert Christopher G , Rajappa Prajwal , Connor James R , Fox Paul L , Kristensen Bjarne W , Lathia Justin D 
Published: November 2023

Abstract

Background
Glioblastoma (GBM) displays alterations in iron that drive proliferation and tumor growth. Iron regulation is complex and involves many regulatory mechanisms, including the homeostatic iron regulator (HFE) gene, which encodes the homeostatic iron regulatory protein. While HFE is upregulated in GBM and correlates with poor survival outcomes, the function of HFE in GBM remains unclear.

Methods
We interrogated the impact of cell-intrinsic Hfe expression on proliferation and survival of intracranially implanted animals through genetic gain- and loss-of-function approaches in syngeneic mouse glioma models, along with in vivo immune assessments. We also determined the expression of iron-associated genes and their relationship to survival in GBM using public data sets and used transcriptional profiling to identify differentially expressed pathways in control compared to Hfe-knockdown cells.

Results
Overexpression of Hfe accelerated GBM proliferation and reduced animal survival, whereas suppression of Hfe induced apoptotic cell death and extended survival, which was more pronounced in females and associated with attenuation of natural killer cells and CD8+ T cell activity. Analysis of iron gene signatures in Hfe-knockdown cells revealed alterations in the expression of several iron-associated genes, suggesting global disruption of intracellular iron homeostasis. Further analysis of differentially expressed pathways revealed oxidative stress as the top pathway upregulated following Hfe loss. Hfe knockdown indeed resulted in enhanced 55Fe uptake and generation of reactive oxygen species.

Conclusions
These findings reveal an essential function for HFE in GBM cell growth and survival, as well as a sex-specific interaction with the immune response.
Blame avoidance and credit-claiming dynamics in government policy communications: evidence from leadership tweets in four OECD countries during the 2020–2022 COVID-19 pandemic
Authors: Leong Ching , Howlett Michael , Safaei Mehrdad 
Published: November 2023

Abstract
Government information activities are often thought to be motivated by a classic calculus of blame minimization and credit maximization. However, the precise interactions of “blame” and “credit” communication activities in government are not well understood, and questions abound about how they are deployed in practice. This paper uses Natural Language Processing (NLP) machine-learning sentiment analysis of a unique dataset composed of several thousand tweets of high-level political leaders in four OECD countries—namely the Prime Ministers of the United Kingdom, Ireland, Australia, and Canada—during 2020–2022 to examine the relationships existing between “blame” and “credit” communication strategies and their relation to the changing severity of the COVID-19 pandemic, both in an objective and subjective sense. In general, the study suggests that during this high-impact, long-lasting, and waxing and waning crisis, political leaders acted in accordance with theoretical expectations when it came to communicating credit seeking messages during the periods when the COVID situation was thought to be improving, but they did not exclusively rely upon communicating blame or scapegoating when the situation was considered to be deteriorating. The consequences of this finding for blame and credit-based theories of government communication are then discussed.
Effects of Respiratory Muscle Training on Exercise Capacity, Quality of Life, and Respiratory and Pulmonary Function in People With Ischemic Heart Disease: Systematic Review and Meta-Analysis
Authors: Fabero-Garrido Raúl , del Corral Tamara , Plaza-Manzano Gustavo , Sanz-Ayan Paz , Izquierdo-García Juan , López-de-Uralde-Villanueva Ibai 
Published: November 2023

Abstract

Objective
This systematic review and meta-analysis aimed to evaluate the effects of respiratory muscle training (RMT) on functional exercise capacity, health-related quality of life (HRQoL), respiratory muscle function, and pulmonary function in individuals with ischemic heart disease (IHD).

Methods
The MEDLINE, Web of Science, Scopus, PEDro, CINAHL, Science Direct, and CENTRAL electronic databases were searched in January 2023. Randomized controlled trials published in English, Spanish, or Portuguese that were conducted to determine the effect of RMT versus passive control and/or sham RMT on the target variables in individuals with IHD, irrespective of age or sex were included. Two reviewers performed the searches and extraction of the most relevant data. The quality and risk of bias for each included study were examined with the PEDro scale and Cochrane risk-of-bias tool.

Results
Thirteen studies (849 participants) were included. The meta-analysis showed a significant increase in peak oxygen consumption (mean difference [MD] = 2.18 mL·kg−1·min−1 [95% CI = 0.54 to 3.83]), inspiratory muscle strength (MD = 16.62 cm H2O [95% CI = 12.48 to 20.77]), inspiratory muscle endurance (standardized mean difference = 0.39 [95% CI = 0.19 to 0.60]), and expiratory muscle strength (MD = 14.52 cm H2O [95% CI = 5.51 to 23.53]). There were no benefits in 6-minute walking distance (MD = 37.57 m [95% CI = −36.34 to 111.48]), HRQoL (standardized mean difference = 0.22 [95% CI = −0.16 to 0.60]), pulmonary function (forced vital capacity; MD = 2.07% of predicted value [95% CI = −0.90 to 5.03], or forced expiratory volume at the first second (MD = −0.75% of predicted value [95% CI = −5.45 to 3.95]).

Conclusion
This meta-analysis provided high- and moderate-quality evidence that inspiratory muscle training (IMT) improves inspiratory muscle strength and endurance, respectively; and very low-quality evidence for effects on peak oxygen consumption and expiratory muscle strength in individuals with IHD. No superior effects were found in the 6-minute walking test, HRQoL, or pulmonary function compared with the control group.

Impact
The results shown in this systematic review with meta-analysis will provide clinicians a better understanding of the effects of IMT in people with IHD. IMT could be integrated into the cardiac rehabilitation management, although more research is needed.
Mental health, quality of life and self-management behaviours: online evaluation of inflammatory arthritis patients over 1 year of COVID-19 lockdowns
Authors: Sweeney Melissa , Carpenter Lewis , de Souza Savia , Chaplin Hema , Tung Hsiu , Caton Emma , Galloway James , Cope Andrew , Yates Mark , Nikiphorou Elena , Norton Sam 
Published: November 2023

Abstract

Objective
Patients with inflammatory arthritis were especially vulnerable to the psychosocial and health impacts of coronavirus disease 2019 (COVID-19) and the lockdowns. This study investigated the impact of these changes on mental health, physical health and quality of life for inflammatory arthritis patients over 1 year following the initial lockdown in the UK.

Methods
Three hundred and thirty-eight participants with inflammatory arthritis completed an ambidirectional study consisting of online questionnaires at four time points for 1 year. The questionnaires assessed demographic information, inflammatory arthritis condition, mental health, physical symptoms, self-management behaviours, COVID-19 status and impacts. Means, linear regressions and structural equation modelling for mediations were conducted over 12 months.

Results
Physical health concerns peaked during June 2020, then declined, but did not return to baseline. Depression was associated with worse quality of life at baseline, as shown by the beta coefficient, (β= 0.94, P &lt; 0.01), September (β = 0.92, P &lt; 0.01), November (β= 0.77, P &lt; 0.01) and 1 year (β = 0.77, P &lt; 0.01). Likewise, anxiety was associated with worse quality of life at baseline (β = 1.92, P &lt; 0.01), September (β = 2.06, P &lt; 0.01), November (β = 1.66, P = 0.03) and 1 year (β = 1.51, P = 0.02). The association between depression and quality of life was mediated by physical activity (β= 0.13, P &lt; 0.01) at baseline. The association between anxiety and quality of life was also mediated by physical activity (β = 0.25, P = 0.04) at baseline.

Conclusion
Physical health continued to be worse 1 year later compared with before the COVID-19 lockdowns in patients with inflammatory arthritis. Mental health showed long-term effects on quality of life, with an impact for ≥12 months. Lastly, physical activity mediated between mental health and quality of life in the short term.