bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mobilisation and replenishment of phosphorus reserves in Bos indicus cows. 2. Mature lactating cows fed diets deficient or adequate in phosphorus
Authors: Dixon R. M. , Benvenutti M. A. , Goodwin K. L. , Anderson S. T. , Mayer R. J. , Isherwood P. , Kidd L. J. , Fletcher M. T. 
Published: January 2025

Context Pastures growing on low phosphorus (P) soils are often P deficient, particularly for lactating cows. Aim To examine the effects of P-deficient diets on the performance of lactating multiparous cows. Methods From parturition, mature Bos indicus cross cows (n = 32, initially 474 kg liveweight (LW) and body condition score 3.5) were fed ad libitum for 14 weeks one of four diets: (i) high P (HP-HCa), (ii) low P with low calcium (LP-LCa), (iii) low P with high Ca (LP-HCa), or (iv) the LP-LCa diet with ammonium chloride (LP-LCa+ac). Results Voluntary feed intakes were higher for cows fed the HP-HCa than the three LP diets (23.1 vs 17.4–19.6 g DM/kg LW.day; P < 0.001). The HP-HCa cows gained 0.15 kg LW/day, whereas LP cows lost 0.14–0.51 kg LW/day; P < 0.05). The cows fed LP diets generally maintained milk production and calf growth comparable to that of HP-HCa cows (5.8 kg/day and 0.70 kg/day). The HP-HCa cows retained 6.0–6.4 g P/day from weeks 1–8, but P retention was negligible at week 14. The LP cows mobilised 4.9–9.1 g body P/day. Rib cortical bone shortly after parturition was 634 ± 127 (337–848) μg P/mm2 in the 12th rib, and indicated that the bone P reserves were deficient, marginal and adequate in 27, 37 and 37% of the cows, respectively. During lactation, rib bone P increased 23% in HP-HCa cows, changed little in the LP-LCa and LP-HCa cows (−4 and +7%), and decreased 13% (P < 0.05) in LP-LCa+ac cows. The change in rib cortical bone P during lactation was correlated with this measurement at parturition; the P per unit surface area of rib cortical bone of cows with low bone P at parturition did not change, but in cows with high bone P it decreased up to 16%. Plasma inorganic P averaged 1.49 mmol/L in the HP-HCa cows and <0.8 mmol/L in the LP cows. Plasma Ca, Ca/inorganic P ratio, 1,25-dihydroxy vitamin D3, bone alkaline phosphatase, and carboxy-terminal telepeptides of type 1 collagen increased during lactation (P < 0.05 to P < 0.001) in the LP cows. Conclusions When fed acutely P-deficient diets, mature cows of moderate LW and with body condition scores at parturition generally maintained milk secretion and calf growth by mobilisation of body reserves. Implications The capacity of beef cows to maintain lactation when ingesting P-deficient diets provides opportunities for improved herd management.
The pragmatics of hashtags in French tweets
Authors: Hadour Taoues 
Published: January 2025

Abstract
Even though France is not a bilingual country, French Twitter users are using various hashtags in English. The
hashtag, which was originally created on Twitter, is a popular symbol widely used in the virtual world as well as in the real
world. The goal of the hashtag was to organize topics of discussion relative to common themes. Even though this remains its
primary usage, other functions for hashtags have emerged since its creation. In a Tag and Commentary hashtag analysis, this study
investigates the pragmatic functions and positions of 755 English hashtags on Twitter from all users geo-tagged in France. The
data was collected in all the regions of France through Twitter’s API (Application program interface) using the software RStudio.
The results show that English hashtags are predominantly used for advertising purposes at the end of a tweet. However, instances
of Commentary hashtags are also being used to add an evaluative role regarding the main body of tweets. Through this analysis, the
study contributes to a deeper comprehension of online linguistic practices among French users, shedding light on the complex
dynamics between language, technology, and communication in today’s digital era.
Regiocentric use and national indexicality
Authors: Niehaus Konstantin 
Published: January 2025

Abstract
Contemporary German linguistics uses either pluricentric or pluriareal models to investigate geographic variation in standard German. In this article, I argue for an integration of both concepts by including language ideologies and enregisterment (Agha 2007) more rigorously. First, I will elaborate on the idea of “core” areas in standard language use and ideologies where specific standard variants are most frequent or are promoted in discourse by ideology brokers. Speakers’ ideologies allow for salient geographic variants to index social meaning (e.g. national stereotypes) and constitute a linguistic register of identity. The interaction of use and indexicality is mediated by attitudes. I propose to integrate standard use, attitudes, and indexicality in a single preliminary framework which could also be useful for other languages with several standards.
Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks
Authors: Ullmo M. , Moulin E. 
Published: January 2025

Abstract
An intriguing challenge in observational astronomy is the separation signals in areas where multiple signals intersect. A typical instance of this in very-high-energy (VHE, E ≳ 100 GeV) gamma-ray astronomy is the issue of residual background in observations. This background arises when cosmic-ray protons are mistakenly identified as gamma-rays from sources of interest, thereby blending with signals from astrophysical sources of interest.
We introduce a deep ensemble approach to determine a non-parametric estimation of source and background signals in VHE gamma observations, as well as a likelihood-derived epistemic uncertainty on these estimations.
We rely on minimal assumptions, exploiting the separability of space and energy components in the signals, and defining a small region in coordinate space where the source signal is assumed to be negligible compared to background signal.
The model is applied both on mock observations, including a simple toy case and a realistic simulation of dark matter annihilation in the Galactic center, as well as true observations from the public H.E.S.S. data release, specifically datasets of the Crab nebula and the pulsar wind nebula MSH 15-52.
Our method performs well in mock cases, where the ground truth is known, and compares favorably against conventional physical analysis approaches when applied to true observations.
In the case of the mock dark matter signal in the Galactic center, our work opens new avenues for component separation in this complex region of the VHE sky.
Proto-neutron stars with quark cores
Authors: Issifu Adamu , Menezes Débora P. , Rezaei Zeinab , Frederico Tobias 
Published: January 2025

Abstract
This work investigates the evolution of proto-neutron stars (PNSs) from birth as neutrino-rich objects to maturity as cold-catalyzed neutrino-poor objects with nucleonic and non-nucleonic degrees of freedom. The focus is on the star's core where the nucleons, hyperons, and the Δ-isobars are expected to dissolve into a “soup” of deconfined quarks, at higher baryon densities, to establish a possible hadron-quark phase transition. We separately calculate the nuclear equations of state (EoS) for the hadronic matter (composed of all the baryon octet and Δ-isobars) and the strange quark matter (SQM) under the same thermodynamic conditions characteristic of PNS and proto-strange star (PSS) evolution and construct the hybrid EoS using Maxwell's construction. The study allows us to determine the hadron-quark phase transitions along the evolution lines of the star. We observed a phase transition from hadronic matter to quark matter (QM) phase when the neutrinos have completely escaped from the star's core. The EoSs utilized are constrained to meet the 2 M⊙ threshold in accordance with the observational data.
Constraining primordial non-Gaussianity with Density-Split Clustering
Authors: Morawetz James , Paillas Enrique , Percival Will J. 
Published: January 2025

Abstract
Obtaining tight constraints on primordial non-Gaussianity (PNG) is a key step in
discriminating between different models for cosmic inflation. The constraining power from
large-scale structure (LSS) measurements is expected to overtake that from cosmic microwave
background (CMB) anisotropies with the next generation of galaxy surveys including the Dark Energy
Spectroscopic Instrument (DESI) and Euclid. We consider whether Density-Split Clustering (DSC) can
help improve PNG constraints from these surveys for local, equilateral and orthogonal types. DSC
separates a surveyed volume into regions based on local density and measures the clustering
statistics within each environment. Using the Quijote simulations and the Fisher information
formalism, we compare PNG constraints from the standard halo power spectrum, DSC power spectra and
joint halo/DSC power spectra. We find that the joint halo/DSC power spectra outperform the halo
power spectrum by factors of ∼ 1.4, 8.8, and 3.6 for local, equilateral and orthogonal PNG,
respectively. This is driven by the higher-order information that DSC captures on small scales. We
find that applying DSC to a halo field does not allow sample variance cancellation on large scales
by providing multiple tracers of the same volume with different local PNG responses. Additionally,
we introduce a Fourier space analysis for DSC and study the impact of several modifications to the
pipeline, such as varying the smoothing radius and the number of density environments and
replacing random query positions with lattice points.
Delicate curvature bounces in the no-boundary wave function and in the late universe
Authors: Lehners Jean-Luc , Quintin Jerome 
Published: January 2025

Abstract
Theoretical considerations motivate us to consider vacuum energy to be able to decay and
to assume that the spatial geometry of the universe is closed. Combining both aspects leads to the
possibility that the universe, or certain regions thereof, can collapse and subsequently undergo a
curvature bounce. This may have occurred in the very early universe, in a pre-inflationary
phase. We discuss the construction of the corresponding no-boundary instantons and show that they
indeed reproduce a bouncing history of the universe, interestingly with a small and potentially
observable departure from classicality during the contracting phase. Such an early bouncing
history receives a large weighting and provides competition for a more standard inflationary
branch of the wave function. Curvature bounces may also occur in the future. We discuss the
conditions under which they may take place, allowing for density fluctuations in the matter
distribution in the universe. Overall, we find that curvature bounces require a delicate
combination of matter content and initial conditions to occur, though with significant
consequences if these conditions are met.
Redshift dependence of FRB host dispersion measures across cosmic epochs
Authors: Acharya Sandeep Kumar , Beniamini Paz 
Published: January 2025

Abstract
We constrain the redshift dependence of (rest frame) host galaxy dispersion measures of localized Fast Radio Bursts (FRBs) by assuming it to vary as a simple power law (∝ (1+z)
α
). We simultaneously fit α as well as the host dispersion measure to the data of FRBs with known redshifts. We find that α between 0 to 1 is preferred depending upon our modelling choices. Current data can constrain |α| ≲ 2 at a 68 percent confidence interval. Such constraints have implications for our understanding of galaxy formation and can be used to inform galaxy and large scale simulations.
Trajectory equations of interaction and evolution behaviors of a novel multi-soliton to a (2+1)-dimensional shallow water wave model
Authors: Tan Xi-Yu , Tan Wei 
Published: January 2025

Abstract
Based on a new bilinear equation, we investigated some new dynamic behaviors of the (2+1)- dimensional shallow water wave model, such as hybridization behavior between different solitons, trajectory equations for lump collisions, and evolution behavior of multi-breathers. Firstly, the N-soliton solution of Ito equation is studied, and some high-order breather waves can be obtained from the N-soliton solutions through pairedcomplexification of parameters. Secondly, the high-order lump solutions and the hybrid solutions are obtained by employing the long wave limit method, and the motion velocity and trajectory equations of high-order lump waves are analyzed. Moreover, based on the trajectory equations of the higher-order lump solutions, we give and prove the trajectory theorem of 1-lump before and after interaction with n-soliton. Finally, we obtained some new lump solutions from the multi-solitons by constructing a new test function and using the parameter limit method. Meanwhile, some evolutionary behaviors of the obtained solutions are shown through a large number of three-dimensional graphs with different and appropriate parameters.
Impact of chaotic semiconductor laser output power on the time-delay-signature of chaos and random bit generation
Authors: Xue Chenpeng , Xu Wang , Zheng Likai , Zhang Haoyu , Hong Yanhua , Zhang Zuxing 
Published: January 2025

Abstract
We experimentally analyze the effect of the optical power on the time delay signature identification and the random bit generation in chaotic semiconductor laser with optical feedback. Due to the inevitable noise during the photoelectric detection and analog-digital conversion, the varying of output optical power would change the signal to noise ratio, then impact time delay signature identification and the random bit generation. Our results show that, when the optical power is less than -14 dBm, with the decreasing of the optical power, the actual identified time delay signature degrades and the entropy of the chaotic signal increases. Moreover, the extracted random bit sequence with lower optical power is more easily pass through the randomness testing.
A compact furnace for in-situ studies on high-temperature reactivity of coke using synchrotron radiation SAXS
Authors: Li Xia , Huang Weifeng , Ji Xiaolan , Liu Jiahao , Wu Haijuan , Kong Jiao , Wang Meijun , Chen Jiangang , Li Dongfeng , Li Zhihong 
Published: January 2025

Abstract
The study of coke reactivity under high temperature
conditions is crucial for understanding its behavior in industrial
processes. This study presents a novel compact heating furnace,
developed for in-situ synchrotron small-angle X-ray scattering
(SAXS) studies on the high-temperature reactivity of coke. The
furnace achieves temperatures up to 1400∘C at a heating
rate of 12∘C/min and enables steam introduction, simulating
industrial conditions. Combination of the furnace with the in-situ
SAXS setup at synchrotron radiation facilities facilitates real-time
monitoring of structural changes at nanoscale in coke under various
temperature and atmospheric conditions. This advancement offers a
robust experimental platform for studying coke reactivity, with
potential benefits for optimizing industrial processes and reducing
environmental impact.
A Strategy for Bonding Bounded Disciplines
Authors: Fischhoff Baruch 
Published: January 2025

Abstract
Applying disciplinary science to discipline-spanning problems faces three challenges. Staffing: Are people with the requisite expertise involved? Internal consultation: Are those disciplinary experts communicating effectively with one another? External consultation: Are those disciplinary experts communicating effectively with those they hope to serve? The chapter proposes a strategy for bonding bounded disciplines that addresses these challenges. It is organized around three graphic representations drawn from management science. For staffing, an influence diagram specifies which forms of expertise are needed. For internal consultation, a network diagram specifies which experts should be communicating with one another and how their work should be coordinated. For external communication, a process diagram provides a template for proactive, ongoing two-way communication.
The “Executive” Model
Authors: Carithers Kirsten 
Published: January 2025

Abstract
“The Executive Model: Composers as Bosses” presents the first of the author’s five models of the theory of Interpretive Labor. Here, experimental composers are theorized as analogous to corporate business executives: they manage big-picture ideas and rely on others for the mundane “grunt work.” This account draws on the concepts of realization and translation to understand the work involved in preparing and performing some of the most vexing works of the avant-garde, including works by Karlheinz Stockhausen and Johannes Kreidler. Historical performances are examined through archival sources. The author argues that some composers have effectively outsourced the work of making performable versions of their music.
The “Gamer” Model
Authors: Carithers Kirsten 
Published: January 2025

Abstract
“The Gamer Model: Games, Play, and Other Ludic Experiments” presents the fifth and final model of the author’s theory of Interpretive Labor. It connects the history of experimentalism to ludomusicology, a relatively new subfield that considers connections between music and (digital) gaming. The Gamer Model considers ways user-generated content (UGC) can hide its creators’ work, and discusses specific types of UGC, such as modifications (mods). UCG is demonstrated to be prevalent in experimental music, including in the practices of Fluxus and other members of the postwar avant-garde. The model further theorizes these game-like practices as a sharing economy, including unwanted sharing in some cases, and considers what happens when artists overshare. The chapter closes with a consideration of technological implications for musical gaming.
Uncertainty analysis and experimental validation of solar parabolic trough collector simulation model
Authors: Akello Philip O O , Saoke Churchil O , Kamau Joseph N , Ndeda Jared O H 
Published: January 2025

Abstract
The scope of this study is to present a novel methodology for the validation of a solar parabolic trough collector simulation model, developed in System Advisor Model software, using solar field thermal performance experimental model functions that duly account for the contributions of errors inherent in the collection of input experimental data. The study focuses on the uncertainty associated with the predicted thermal energy output and thermal efficiency, which were calculated using standardised testing procedures developed by the National Renewable Energy Laboratory and the American Society of Mechanical Engineers. Errors due to imperfections of the experimental models used through the test are also counted in, as well as uncertainties attributed to the variability of meteorological conditions. The experimental tests were conducted under clear-sky and steady-state conditions in Kenya, using a prototype parabolic trough collector. The uncertainty analysis provided a realistic evaluation of the prototype’s thermal performance during testing, resulting in expanded uncertainties of 9.05% (0.104 kWhth) for thermal output and 3.66% (0.0258) for thermal efficiency. Notably, the predicted thermal output and thermal efficiency from the experimental models did not exceed observed levels, demonstrating a strong correlation between predicted and observed values, supported by R2 regression coefficients of 0.972 for thermal output and 0.989 for thermal efficiency. The comparison of the two experimental model results with the simulation outcomes validated the simulation model’s performance, as the simulation results fell within the experimental error margins. Additionally, the statistical analysis yielded significant results, with root mean square error, mean bias error, and t-statistics values for thermal energy output being 0.057, 0.033, and 2.135, respectively, and for thermal efficiency, 0.018, 0.010, and 1.993, respectively, indicating the accuracy and reliability of the simulation model. Thus, the simulation model has been successfully validated, proving its capability to accurately predict the thermal output and efficiency of the parabolic trough collector.
Feature refinement and attention enhancement for click-through rate prediction
Authors: Li Sumin , Xie Zhen , Pan Xiuqin 
Published: January 2025

Abstract
Click-through rate (CTR) prediction has become a crucial task in online advertising and other fields. Many researchers focus on improving CTR prediction models by exploring feature interactions. One popular model, Deep Factorization Machine (DeepFM), addresses both high-order and low-order feature interactions, but it overlooks the variability of feature representation in different contexts and lacks a comprehensive explanation of high-order feature interactions. In this paper, we propose a CTR prediction model called DeepFM-GA, which is based on improved feature refinement generation and attention enhancement representation. Firstly, we incorporate an attention convolutional generation module into $\text{DeepFM}_{\text{FRNet}}$, which enriches the feature space by generating complementary features through convolutional neural networks while maintaining context-aware feature representation. Secondly, we utilize a multi-head self-attention layer for feature-enhanced representation, enhancing the model’s ability to select important features. Finally, experiments are conducted on four real-world datasets, and the results show that DeepFM-GA has a better performance compared to other mainstream CTR models.
Arachidonic acid synergizes with aspirin preventing myocardial ischemia-reperfusion injury and mitigates bleeding risk
Authors: Talabieke Shaletanati , Yang Xuejian , Yang Jianfeng , Wan Qing , Zhu Dekun , Rao Haojie , Wu Yifei , Chen Zengrong , Li Huihui , Xu Pengfei , Chen Hong , Liu De-Pei , Zhang Xu , FitzGerald Garret A , Wang Miao 
Published: January 2025

Abstract

Aims
The therapeutic efficacy of coronary revascularization is compromised by myocardial ischemia-reperfusion (MI/R) injury. Higher levels of circulating arachidonic acid (AA) are reportedly associated with lower risk of cardiovascular disease. The cyclooxygenase (COX) pathway metabolizes AA into prostaglandins (PGs) and the platelet-activating thromboxane A2 (TXA2), which is inhibited by aspirin. We aimed to explore whether AA or its combination with aspirin modulates MI/R injury and aspirin-caused gastric bleeding.

Methods and results
Mice were subjected to 30min coronary artery ligation followed by reperfusion. AA reduced MI/R injury in mice, and its combination with aspirin provided further cardioprotection. Aspirin inhibited MI/R-triggered platelet activation and ameliorated microvascular obstruction immediately upon reperfusion, whereas AA improved microvascular perfusion at a later stage of reperfusion, coinciding with increased coronary vasodilatation. Co-administration of AA and aspirin markedly reduced cardiac neutrophil infiltration and vascular permeability and improved microcirculation. AA increased urinary metabolites of PGI2 and PGE2, not TXA2, and this selective augmentation was further enhanced by co-treatment with aspirin. Elevation in PGI2 and PGE2 correlated with reduced infarction and improved ventricular function, and inhibiting COX-2 attenuated the synergistic cadioprotection. Furthermore, oral administration of AA with aspirin after reperfusion provided a maximal cardioprotection and abolished aspirin-caused gastric bleeding.

Conclusion
AA synergizes with aspirin in protecting against MI/R injury, while minimizing the related bleeding risk, a major concern for patients with acute myocardial infarction. This is attributable to the selective augmentation of PGI2 and PGE2 that is amplified by TXA2 suppression by aspirin, underscoring improved microcirculation and ameliorated inflammation.