bluuebunny/crossref_metadata_2025_split huggingface dataset:
The improvement of immunity and activation of TLR2/NF-κB signaling pathway by Romboutsia ilealis in broilers
Authors: Song Bochen , Sun Peng , Kong Linglian , Xiao Chuanpi , Pan Xue , Song Zhigang 
Published: September 2024

Abstract
This study was conducted to investigate the effects of Romboutsia ilealis on the immune function of broilers and the underlying mechanisms. A total of 48 one-day-old Arbor Acres broilers were allocated to 4 groups as follows: broilers treated daily with 1 mL live R. ilealis in general anaerobic medium broth media (0, 1 × 104, 1 × 106, and 1 × 108 CFU/mL) from days 1 to 7. Samples were collected on days 8 and 14. The results showed that R. ilealis had no negative effect on the body weight of broilers (P &gt; 0.05). R. ilealis significantly increased the levels of lysozyme, IFN-γ, IFN-γ/IL-4, and IgG in the serum (P &lt; 0.05). R. ilealis significantly increased the levels of IL-4, IFN-γ, sIgA, lysozyme, and iNOS in the ileal mucosa (P &lt; 0.05). R. ilealis significantly increased the mRNA levels of TLR2, TLR4, NF-κB, IL-1β, TNF-α, IFN-γ, IgA, pIgR, iNOS, and MHC-II in the ileum (P &lt; 0.05). R. ilealis significantly increased the relative abundance of Enterococcus and Paracoccus in the jejunum and ileum, ileal Candidatus Arthromitus, and cecal Romboutsia and Intestinimonas (P &lt; 0.05). Correlation analysis showed that Enterococcus, Paracoccus, Romboutsia, and Intestinimonas were significantly positively correlated with humoral immune function (P &lt; 0.05). In conclusion, R. ilealis boosted the immune system, activated the intestinal TLR2/NF-κB signaling pathway, and improved the gut microbiota in broilers.
Digital Breast Tomosynthesis Screening Improves Early Breast Cancer Detection and Survival in Taiwan
Authors: Wu Pei-Shan , Hong Yu-Ting , Shen Chiao-Hsuan , Lee Chao-Hsien , Chou Chen-Pin 
Published: September 2024

Abstract

Objective
Our objective was to compare the efficacy of digital breast tomosynthesis (DBT) and digital mammography (DM) in breast cancer screening and their impact on long-term overall survival (OS).

Methods
The study involved 48 549 consecutive mammography examinations between 2011 and 2015 at a medical center in Taiwan, identifying 545 women who were screened and diagnosed with breast cancer. Digital mammography and DBT examinations were alternated on different days. Patients were categorized based on mammographic modality, breast density, and American Joint Committee on Cancer (AJCC) stage. To determine the long-term outcome until August 2021, survival rates were analyzed using the Kaplan-Meier (K-M) survival analysis.

Results
The mean age at breast cancer diagnosis was 53.2 years. Digital breast tomosynthesis examinations were significantly associated with early breast cancer (AJCC stage 0 to 2) (P = .022). The 5- and 9-year OS rates for all patients were 96.8% and 93.0%, respectively. The 5- and 9-year OS was significantly greater in the DBT group (98.4% and 96.8%) compared with the DM group (95.0% and 90.4%) (P = .030 for all). The K-M survival analysis demonstrated a significantly higher OS in the DBT group than the DM group (P = .037). Furthermore, DBT significantly improved OS in a cohort of women with stage II and III cancer (P = .032) and heterogeneously dense breasts (P = .045).

Conclusion
Screening with DBT is associated with early breast cancer diagnosis and higher survival rates compared with DM.
The moss growth optimization (MGO): concepts and performance
Authors: Zheng Boli , Chen Yi , Wang Chaofan , Heidari Ali Asghar , Liu Lei , Chen Huiling 
Published: September 2024

Abstract
Metaheuristic algorithms are increasingly utilized to solve complex optimization problems because they can efficiently explore large solution spaces. The moss growth optimization (MGO), introduced in this paper, is an algorithm inspired by the moss growth in the natural environment. The MGO algorithm initially determines the evolutionary direction of the population through a mechanism called the determination of wind direction, which employs a method of partitioning the population. Meanwhile, drawing inspiration from the asexual reproduction, sexual reproduction, and vegetative reproduction of moss, two novel search strategies, namely spore dispersal search and dual propagation search, are proposed for exploration and exploitation, respectively. Finally, the cryptobiosis mechanism alters the traditional metaheuristic algorithm’s approach of directly modifying individuals’ solutions, preventing the algorithm from getting trapped in local optima. In experiments, a thorough investigation is undertaken on the characteristics, parameters, and time cost of the MGO algorithm to enhance the understanding of MGO. Subsequently, MGO is compared with 10 original and advanced CEC 2017 and CEC 2022 algorithms to verify its performance advantages. Lastly, this paper applies MGO to four real-world engineering problems to validate its effectiveness and superiority in practical scenarios. The results demonstrate that MGO is a promising algorithm for tackling real challenges. The source codes of the MGO are available at https://aliasgharheidari.com/MGO.html and other websites.
Does social capital foster renewable energy cooperatives?
Authors: Geskus Stefan , Punt Matthijs B , Bauwens Thomas , Corten Rense , Frenken Koen 
Published: September 2024

Abstract
In recent decades, renewable energy cooperatives have substantially increased their share of renewable energy production. The operation of these cooperatives requires collective action, potentially supported by local social capital. We investigate whether municipal-level bonding and bridging social capital explain the differences in the prevalence of renewable energy cooperatives across Dutch municipalities. We measure social capital directly from social network structures within and between municipalities, thus overcoming limitations of using proxies. Our empirical results reveal that bonding rather than bridging social capital supports renewable energy cooperatives, shedding new light on the role these types of social capital play in regional development.
The Legal Protection of Animal Parasites in International Biodiversity Law
Authors: Claerhoudt Rens 
Published: September 2024

Abstract
Approximately half of all animal species on the planet are parasites. Many of these species play important roles in ecological communities, including maintaining the balance within ecosystems by regulating host populations. Though parasite species are often neglected by ecologists and derided generally, many are threatened with extinction. Against this backdrop, this article examines the extent to which current international biodiversity law offers protection to animal parasites, and whether the protection aligns with scientific findings. Taking a diagnostic approach, this study shows that parasites are overlooked in international biodiversity law, and as such, it reports a major blind spot in conservation measures. Following from this, lines of further enquiry into parasites and (international) biodiversity law are suggested, including examining the interaction between law and (ecological) parasitology, and species bias in international biodiversity law. In addition, theoretical questions that arise when considering the legal protection of parasites in biodiversity law are also considered.
Genome-wide association study of image-based trait reveals the genetic architecture of dark-induced leaf senescence in rice
Authors: Li Chao , Wu Xiaoyuan , Wang Pengna , Wang Hongru , Wang Lidong , Sun Fang , Lu Cheng , Hao Huaiqing , Chu Chengcai , Jing Hai-Chun 
Published: September 2024

Abstract
Darkness is often used as an effective measure to induce leaf senescence. Although many senescence-related genes in rice have been reported, the genome-wide genetic architecture underlying leaf senescence remains poorly understood. In our study, indica and japonica rice showed contrasting responses to dark-induced leaf senescence (DILS). Genome-wide association studies (GWAS) combined with transcriptomic analyses revealed 57, 97, and 48 loci involved in the regulation of the onset, progression, and ending of DILS, respectively. Haplotype analyses showed that the senescence-related loci differentially accumulated in indica and japonica accessions and functioned additively to regulate DILS. A total of 357 candidate genes were identified that are involved in various senescence-related processes such as lipid and amino acid catabolism, photosynthesis, response to reactive oxygen species, and regulation of defence response. In addition, functional analyses of candidate genes revealed that OsMYB21 positively regulates the onset of DILS, while OsSUB1B negatively regulates its progression. Thus, our results provide new insights into the genetic regulation of DILS in rice.
Endoplasmic reticulum homeostasis in plant–pathogen interactions: new scenarios for an old story
Authors: Liu Yuhan , Tian Shiping , Chen Tong 
Published: September 2024

Abstract
The endoplasmic reticulum (ER) is a specialized organelle that connects almost all subcellular structures from the plasma membrane to the nucleus. The ER is involved in secretory protein synthesis, folding, and processing. Evidence has emerged that the ER is at the frontier of the battle between plant hosts and pathogens. Its structural and functional homeostasis is crucial for the survival of plant cells. Pathogens secrete effectors to take over normal functions of the ER, while host plants fight back to activate ER stress responses. Exciting advances have been made in studies on host plant–pathogen dynamics during the past decades, namely some new players involved have been recently resolved from both pathogens and hosts. In this review, we summarize advances in identifying structural characteristics of the key pathways and effectors targeting the ER. Newly identified ER-phagy receptors and components downstream of inositol-requiring 1 (IRE1) will be described. Future studies will be envisaged to further our understanding of the missing parts in this dynamic frontier.
The Emergence of MOVES SLC Life-Support System Equipment for En-Route Trauma Care in Ukraine During a Qualitative Assessment
Authors: Lieberman Lawry Lynn , Korona-Bailey Jessica , Hamm Tiffany E , Maddox John , Juman Luke , Janvrin Miranda , Holcomb John B , Berezyuk Oleh , Perez Koehlmoos Tracey 
Published: September 2024

ABSTRACT

Introduction
Ukraine’s health and trauma system has been detrimentally impacted since the Russian Federation invasion in February 2022. The number and extent of injuries experienced in Ukraine because of trench warfare and high-intensity large-scale combat operations has not been seen in recent conflicts. Understanding attitudes and perceptions around the use of devices and products including MOVES (monitor, oxygen concentrator, ventilator, and suction system) and its use in the large-scale combat operation environment can inform lessons learned for improved prehospital care in Ukraine, as well as in other future conflicts.

Material and Methods
We conducted qualitative key informant interviews with military and civilian Ukrainian health care workers during the ongoing conflict using an expanded version of the Global Trauma System Evaluation Tool. We focused the analysis on identifying and understanding the capability of MOVES Micro-integrated Life Support System (SLC).

Results
Thirty-six participants were interviewed; 56% were military and 44% were civilians and representative of all NATO roles or levels of care. Sixty-one percent of participants were male. Seventy-two percent of participants were stationed in the Eastern and Northern regions. The mean age was 34.9 years. Sixty-seven percent of care providers reported using MOVES SLC and the remainder stated they wanted the device. The device was sometimes referenced as a “portable ventilator.” Of other donated surgical equipment, MOVES SLC was described as “unique.” A stabilization modification was suggested as a need given the ad hoc vehicles used for en-route critical care. Participants reacted positively to using MOVES SLC and the capabilities and improvements in care that MOVES SLC can provide for en-route care of critically injured patients.

Conclusions
MOVES SLC is well regarded by Ukrainian trauma care providers. Training may be necessary to increase the quality of care when utilizing these devices, and vehicle modifications may be necessary for use given some concerns over the equipment falling during transport. There is a need to study how this equipment improves the ability of limited medical personnel to provide prolonged care for a larger number of patients with reduced medical resupply.
Schwarzschild modelling of barred s0 galaxy NGC 4371
Authors: Tahmasebzadeh Behzad , Zhu Ling , Shen Juntai , Gadotti Dimitri A , Valluri Monica , Thater Sabine , van de Ven Glenn , Jin Yunpeng , Gerhard Ortwin , Erwin Peter , Jethwa Prashin , Zocchi Alice , Lilley Edward J , Fragkoudi Francesca , de Lorenzo-Cáceres Adriana , Méndez-Abreu Jairo , Neumann Justus , Guo Rui 
Published: September 2024

ABSTRACT
We apply the barred Schwarzschild method developed by Tahmasebzadeh et al. (2022) to a barred S0 galaxy, NGC 4371, observed by IFU instruments from the TIMER and ATLAS3D projects. We construct the gravitational potential by combining a fixed black hole mass, a spherical dark matter halo, and stellar mass distribution deprojected from 3.6 μm S$^4$G image considering an axisymmetric disc and a triaxial bar. We independently modelled kinematic data from TIMER and ATLAS3D. Both models fit the data remarkably well. We find a consistent bar pattern speed from the two sets of models with $\Omega _{\rm p} = 23.6 \pm 2.8 \, \mathrm{km \, s^{-1} \, kpc^{-1} }$ and $\Omega _{\rm p} = 22.4 \pm 3.5 \, \mathrm{km \, s^{-1} \, kpc^{-1} }$, respectively. The dimensionless bar rotation parameter is determined to be $\mathcal {R} \equiv R_{\rm cor}/R_{\rm bar}=1.88 \pm 0.37$, indicating a likely slow bar in NGC 4371. Additionally, our model predicts a high amount of dark matter within the bar region ($M_{\rm DM}/ M_{\rm total}$$\sim 0.51 \pm 0.06$), which, aligned with the predictions of cosmological simulations, indicates that fast bars are generally found in baryon-dominated discs. Based on the best-fitting model, we further decompose the galaxy into multiple 3D orbital structures, including a BP/X bar, a classical bulge, a nuclear disc, and a main disc. The BP/X bar is not perfectly included in the input 3D density model, but BP/X-supporting orbits are picked through the fitting to the kinematic data. This is the first time a real barred galaxy has been modelled utilizing the Schwarzschild method including a 3D bar.
Discovery of small ultra-short-period planets orbiting Kepler KG dwarfs with GPU phase folding and deep learning
Authors: Wang Kaitlyn , Ge Jian , Willis Kevin , Wang Kevin , Zhao Yinan , Hu Quanquan 
Published: September 2024

ABSTRACT
Of over 5000 exoplanets identified so far, only a few hundred possess sub-Earth radii. The formation processes of these sub-Earths remain elusive, and acquiring additional samples is essential for investigating this unique population. In our study, we employ the GPFC method, a novel GPU phase folding algorithm combined with a convolutional neural network, on the Kepler photometry data. This method enhances the transit search speed significantly over the traditional Box-fitting Least Squares method, allowing a complete search of the known Kepler KOI data within days using a commercial GPU card. To date, we have identified five new ultra-short-period planets (USPs): Kepler-158d, Kepler-963c, Kepler-879c, Kepler-1489c, and KOI-4978.02. Kepler-879c with a radius of 0.4 R$_{\oplus }$ completes its orbit around a G dwarf in 0.646716 d, Kepler-158d with a radius of 0.43 R$_{\oplus }$ orbits a K dwarf star every 0.645088 d, Kepler-1489c with a radius of 0.51 R$_{\oplus }$ orbits a G dwarf in 0.680741 d, Kepler-963c with a radius of 0.6 R$_{\oplus }$ revolves around a G dwarf in 0.919783 d, and KOI-4978.02 with a radius of 0.7 R$_{\oplus }$ circles a G dwarf in 0.941967 d. Among our findings, Kepler-879c, Kepler-158d, and Kepler-963c rank as the first, the third, and the fourth smallest USPs identified to date. Notably, Kepler-158d stands as the smallest USP found orbiting K dwarfs, while Kepler-963c, Kepler-879c, Kepler-1489c, and KOI-4978.02 are the smallest USPs found orbiting G dwarfs. Kepler-879c, Kepler-158d, Kepler-1489c, and KOI-4978.02 are among the smallest planets that are closest to their host stars, with orbits within 5 stellar radii. In addition, these discoveries highlight GPFC’s promising capability in identifying small, new transiting exoplanets within the photometry data from Kepler, TESS, and upcoming space transit missions PLATO and ET.
Impact of environmental conditions on organic matter in astrophysical ice analogues
Authors: Javelle T , Ruf A , Bouquet A , Schmitt-Kopplin Ph , Danger G 
Published: September 2024

ABSTRACT
The existence of organic matter presenting a high molecular diversity in extraterrestrial environments is well documented. To understand the origin of this organic diversity, laboratory experiments were developed and showed that irradiation and thermal alteration of simple molecules such as methanol, water, and ammonia in conditions mimicking astrophysical ice environments. Ices containing water, methanol, and ammonia (H2O: MeOH: NH3) photolyzed and monitored by infrared spectroscopy, while the organic matter formed at room temperature was analyzed in situ with infrared spectroscopy and ex situ with high-resolution mass spectrometry. Those ices irradiated at 77 K and 10−8 mbar shows a significant organic molecular diversity: residual organic compounds contain up to 78 C, 188 H, 123 N, and 37 O. Most of them contains all four CHNO atoms (76–86 per cent), followed by CHO (11–17 per cent), and CHN compounds (5–6 per cent). CHNO and CHO compounds are more aliphatic (34–53 per cent), while CHN compounds are mostly condensed aromatics (83–90 per cent). In this work, our objective is to investigate impacts of environment on this organic molecular diversity by focusing on three parameters: photon dose, pressure, and heating rate during the warming process. Analyses of the residue formed showed that the heating rate and pressure weakly alter the abundance of the final organic material, while the irradiation rate reduced its abundance at high photon doses by a factor of 8. These results give insights on the impact of icy environment conditions in the evolution of astrophysical organic matter.
Coma composition and profiles of comet 12P/Pons–Brooks using long-slit spectroscopy
Authors: Ferellec Lea , Opitom Cyrielle , Donaldson Abbie , Fynbo Johan P U , Kokotanekova Rosita , Kelley Michael S P , Lister Tim 
Published: September 2024

ABSTRACT
Comet 12P/Pons–Brook exhibited multiple large and minor outbursts in 2023 on its way to its 2024 perihelion, as it has done during its previous apparitions. We obtained long-slit optical spectra of the comet in 2023 August and November with the INT-IDS, and in 2023 December with NOT-ALFOSC. Using a standard Haser model in a 10 000-km-radius aperture and commonly used empirical parent and daughter scale lengths, our calculated abundance ratios show a constant ‘typical’ composition throughout the period with a C$_2$/CN ratio of about 90 per cent. Molecular density profiles of different species along the slit show asymmetries between opposite sides of the coma and that C$_2$ seems to behave differently than CN and C$_3$. Comparing the coma profiles to a standard Haser model shows that this model cannot accurately reproduce the shape of the coma, and therefore that the calculated production rates cannot be deemed as accurate. We show that an outburst Haser model is a slightly better match to the C$_3$ and CN profile shapes, but the model still does not explain the shape of the C$_2$ profiles and requires equal parent and daughter scale lengths. Our results suggest that the coma morphology could be better explained by extended sources, and that the nature of 12P’s activity introduces bias in the determination of its composition.
Chemical evolution of a young super star cluster at the Sunburst Arc
Authors: Tapia Truman , Bekki Kenji , Groves Brent 
Published: September 2024

ABSTRACT
Recent observations of high-redshift galaxies have revealed starburst galaxies with excessive amounts of nitrogen, well above that expected in standard evolutionary models. The Sunburst Arc galaxy, particularly its young and massive star cluster, represents the closest ($z=2.4$) and brightest of these as a strongly lensed object. In this work, we study the chemical history of this star cluster to determine the origin of the elevated gas-phase nitrogen using a chemical evolution model. Our model includes the enrichment of OB stars through stellar winds and core-collapse supernovae assuming that massive stars ($M\gt 25$ $\mathrm{ M}_\odot$) collapse directly into black holes at the end of their lives. We fit the model parameters to the observed chemical abundances of the Sunburst Arc cluster: O/H, C/O, and N/O. We find that the observed chemical abundances can be explained by models featuring intense star formation events, characterized by rapid gas accretion and high star formation efficiencies. Additionally, the stellar population contributing to the gas enrichment must exclude Wolf–Rayet stars. These conditions might be present in other nitrogen-rich objects as their similar chemical abundances suggest a common history. As previous studies have proposed the presence of Wolf–Rayet stars in the new nitrogen-rich objects, further research using chemodynamic modeling is necessary to ascertain the true nature of these objects.
Supersonic turbulence simulations with GPU-based high-order Discontinuous Galerkin hydrodynamics
Authors: Cernetic Miha , Springel Volker , Guillet Thomas , Pakmor Rüdiger 
Published: September 2024

ABSTRACT
We investigate the numerical performance of a Discontinuous Galerkin (DG) hydrodynamics implementation when applied to the problem of driven, isothermal supersonic turbulence. While the high-order element-based spectral approach of DG is known to efficiently produce accurate results for smooth problems (exponential convergence with expansion order), physical discontinuities in solutions, like shocks, prove challenging and may significantly diminish DG’s applicability to practical astrophysical applications. We consider whether DG is able to retain its accuracy and stability for highly supersonic turbulence, characterized by a network of shocks. We find that our new implementation, which regularizes shocks at subcell resolution with artificial viscosity, still performs well compared to standard second-order schemes for moderately high-Mach number turbulence, provided we also employ an additional projection of the primitive variables on to the polynomial basis to regularize the extrapolated values at cell interfaces. However, the accuracy advantage of DG diminishes significantly in the highly supersonic regime. Nevertheless, in turbulence simulations with a wide dynamic range that start with supersonic Mach numbers and can resolve the sonic point, the low-numerical dissipation of DG schemes still proves advantageous in the subsonic regime. Our results thus support the practical applicability of DG schemes for demanding astrophysical problems that involve strong shocks and turbulence, such as star formation in the interstellar medium. We also discuss the substantial computational cost of DG when going to high order, which needs to be weighted against the resulting accuracy gain. For problems containing shocks, this favours the use of comparatively low DG order.