bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Yarkovsky drift detections using astrometric observations of NEAs
Authors: Lisa Bedini , Giacomo Tommei 
Published: February 2024

AbstractThe Yarkovsky drift represents the semi-major axis variation of a celestial body due to the Yarkovsky effect. This thermodynamic effect acts more significantly on bodies with a diameter between $$\approx 10 \,\text {m}$$

≈
10

m

and $$\approx 30 \,\text {km}$$

≈
30

km

. Therefore, the orbits of many minor bodies of the solar system are affected: knowing the value of the Yarkovsky drift can be crucial to accurately predict their positions, especially if the asteroids are Near Earth Asteroids (NEAs) and there may be a non-zero impact probability with the Earth. The direct computation of this effect is not easily achieved due to the scarce availability of NEAs physical information. Thus, the more promising method to estimate the Yarkovsky effect is through an orbital fit using seven parameters, the six orbital elements and a seventh parameter accounting for non-gravitational interactions. In this paper, we show the analysis of 1262 NEAs with Signal-to-Noise Ratio (SNR) greater or equal 2, of which 279 have the parameter S (absolute ratio between the Yarkovsky drift and its expected value) less than 1.5 and are therefore more reliable. Among these, 91 are not present in the literature, thus represent new Yarkovsky drift detections. Furthermore, we used our results to estimate the ratio of the retrograde over prograde rotators and to validate the dependence of the Yarkovsky drift from the diameter, da/dt $$\approx D^{-1}$$

≈

D

-
1

.
Cosmology and fundamental physics with the ELT-ANDES spectrograph
Authors: Martins C.J.A.P. , Cooke R. , Liske J. , Murphy M.T. , Noterdaeme P. , Schmidt T.M. , Alcaniz J. S. , Alves C. S. , Balashev S. , Cristiani S. , Di Marcantonio P. , Génova Santos R. , Gonçalves R. S. , González Hernández J. I. , Maiolino R. , Marconi A. , Marques C. M. J. , Melo e Sousa M. A. F. , Nunes N. J. , Origlia L. , Péroux C. , Vinzl S. , Zanutta A. 
Published: February 2024

AbstractState-of-the-art 19th century spectroscopy led to the discovery of quantum mechanics, and 20th century spectroscopy led to the confirmation of quantum electrodynamics. State-of-the-art 21st century astrophysical spectrographs, especially ANDES at ESO’s ELT, have another opportunity to play a key role in the search for, and characterization of, the new physics which is known to be out there, waiting to be discovered. We rely on detailed simulations and forecast techniques to discuss four important examples of this point: big bang nucleosynthesis, the evolution of the cosmic microwave background temperature, tests of the universality of physical laws, and a real-time model-independent mapping of the expansion history of the universe (also known as the redshift drift). The last two are among the flagship science drivers for the ELT. We also highlight what is required for the ESO community to be able to play a meaningful role in 2030s fundamental cosmology and show that, even if ANDES only provides null results, such ‘minimum guaranteed science’ will be in the form of constraints on key cosmological paradigms: these are independent from, and can be competitive with, those obtained from traditional cosmological probes.
Investigation of dielectric and electric modulus properties of Al/p-Si structures with pure, 3%, and 5% (graphene:PVA) by impedance spectroscopy
Authors: Yürekli Merve , Özdemir Ahmet Faruk , Altındal Şemsettin 
Published: February 2024

AbstractThe Z–V measurements were performed in wide-range voltage (± 6 V), and then the real/imaginary parts of ε* (ε′, ε″), M* (M′, M″), Z* (Z′, Z″), tanδ, and σac values of the Al/p-Si structure with pure polyvinyl alcohol (PVA) (D1), 3% (D2), and 5% (D3) graphene-doped PVA interfacial-layer were calculated at four frequencies (1, 10, 100, and 1000 kHz). When the frequency in D2 and D3 structures was increased from 1 kHz to 1 MHz, the dielectric constant value changed from 32.47 to 5.12 and from 26.26 to 1.00, respectively. They have a strong frequency dependence due to the presence of interface traps (Nit), polarization types, and organic interlayers at low frequencies. The observed anomalous peak in the ε′ and ε″ versus voltage curves in the depletion zone is the result of re-structure/re-ordering molecules in these traps under voltage/electric-field, and Nit measured frequency (f = 1/T). As a result, the ε′ and ε″ will be given an excess value to their real-value at lower frequencies. Because Nit and dipoles do not have enough time to spin themselves in the direction of the electric field and follow the ac signal at high frequencies, they cannot contribute the true value of them. In general, series resistance (Rs) and the interfacial layer are effective in the accumulation zone, while Nit is effective in the depletion region. These findings demonstrate that pure and (Gr:PVA) polymer-films at the M/S interface can be employed successfully in place of standard oxide materials. According to the comparison of dielectric constants, electrical modulus, impedance, and ac conductivity of all three structures at 100 kHz and 1 MHz frequencies, 3% Gr doping to PVA increases interfacial characteristics.
Psychological and behavioral responses to daily weight gain during behavioral weight loss treatment
Authors: Hagerman Charlotte J. , Onu Michael C. , Crane Nicole T. , Butryn Meghan L. , Forman Evan. M. 
Published: February 2024

AbstractSelf-weighing is consistently associated with more effective weight control. However, patterns show that participants disengage from their weight control behaviors following weight gain. Women with BMIs in the overweight/obese range (N = 50) enrolled in a long-term behavioral weight loss program completed ecological momentary assessment (EMA) surveys immediately after their daily weigh-ins. Nightly EMA surveys and self-monitoring data through Fitbit measured their weight control behavior that day. On days when participants gained weight (vs. lost or maintained), they reported more negative mood, more guilt/shame, and lower confidence in weight control. Motivation following daily weight gain depended on participants’ overall satisfaction with their weight loss so far: more satisfied participants had marginally higher, but less satisfied participants had marginally lower motivation in response to daily weight gain. Greater guilt/shame and lower motivation after the weigh-in predicted less effective weight control behavior that day (e.g., lower likelihood of calorie tracking, fewer minutes of physical activity). Results demonstrate that even small weight gain is distressing and demoralizing for women in BWL programs, which can lead to goal disengagement. These findings have implications for future BWL interventions, including the potential utility of just-in-time adaptive interventions to promote more adaptive responses in the moments after weigh-ins.
Quantization of Lorentzian free BV theories: factorization algebra vs algebraic quantum field theory
Authors: Benini Marco , Musante Giorgio , Schenkel Alexander 
Published: February 2024

AbstractWe construct and compare two alternative quantizations, as a time-orderable prefactorization algebra and as an algebraic quantum field theory valued in cochain complexes, of a natural collection of free BV theories on the category of m-dimensional globally hyperbolic Lorentzian manifolds. Our comparison is realized as an explicit isomorphism of time-orderable prefactorization algebras. The key ingredients of our approach are the retarded and advanced Green’s homotopies associated with free BV theories, which generalize retarded and advanced Green’s operators to cochain complexes of linear differential operators.
A Time-Series-Based Sample Amplification Model for Data Stream with Sparse Samples
Authors: Yang Juncheng , Yu Wei , Yu Fang , Li Shijun 
Published: February 2024

AbstractThe data stream is a dynamic collection of data that changes over time, and predicting the data class can be challenging due to sparse samples, complex interdependent characteristics between data, and random fluctuations. Accurately predicting the data stream in sparse data can create complex challenges. Due to its incremental learning nature, the neural networks suitable approach for streaming visualization. However, the high computational cost limits their applicability to high-speed streams, which has not yet been fully explored in the existing approaches. To solve these problems, this paper proposes an end-to-end dynamic separation neural network (DSN) approach based on the characteristics of data stream fluctuations, which expands the static sample at a given moment into a sequence of sample streams in the time dimension, thereby increasing the sparse samples. The Temporal Augmentation Module (TAM) can overcome these challenges by modifying the sparse data stream and reducing time complexity. Moreover, a neural network that uses a Variance Detection Module (VDM) can effectively detect the variance of the input data stream through the network and dynamically adjust the degree of differentiation between samples to enhance the accuracy of forecasts. The proposed method adds significant information regarding the data sparse samples and enhances low dimensional samples to high data samples to overcome the sparse data stream problem. In VDM the preprocessed data achieve data augmentation and the samples are transmitted to VDM. The proposed method is evaluated using different types of data streaming datasets to predict the sparse data stream. Experimental results demonstrate that the proposed method achieves a high prediction accuracy and that the data stream has significant effects and strong robustness compared to other existing approaches.
What could come before time? Intertwining affectivity and temporality at the basis of intentionality
Authors: Bogotá Juan Diego 
Published: February 2024

AbstractThe enactive approach to cognition and the phenomenological tradition have in common a wide conception of ‘intentionality’. Within these frameworks, intentionality is understood as a general openness to the world. For classical phenomenologists, the most basic subjective structure that allows for such openness is time-consciousness. Some enactivists, while inspired by the phenomenological tradition, have nevertheless argued that affectivity is more basic, being that which gives rise to the temporal flow of consciousness. In this paper, I assess the relationship between temporality and affectivity from both a phenomenological and an enactive perspective. I argue that, as opposed to the classical phenomenological view (which favours temporality), and to the enactive view (which favours affectivity), we must take affectivity and temporality as co-emergent. Jointly, affectivity and temporality constitute the basic structures of intentionality. Additionally, using examples from phenomenological psychopathology, I conclude that all intentionality is defined by an anticipatory and affective structure that gives rise to general feelings related to our bodily possibilities in the world.
Revolutionary leaders and the punishment of critics
Authors: Sander Christian J. 
Published: February 2024

AbstractI explore a previously neglected mechanism of mass mobilization in autocracies. Revolutionary leaders may deliberately provoke punishment from the incumbent regime to signal their political conviction and thus encourage citizens to identify with and support the revolutionary movement. I model the interplay of repression, criticism, and revolutionary actions as a dynamic game with incomplete information about the leader’s type. The role of the revolutionary leader is to enable people to identify with the movement by credibly embodying political change. From the incumbent’s perspective, repression turns out to be a double-edged sword. On the one hand, a severe punishment of critics increases citizens’ cost of participating in revolutionary actions. On the other hand, harsh repressions may simultaneously establish a trustworthy leader whom people want to follow in order to replace the current political regime. My results thus help explain a stylized fact, namely that revolutionary leaders sometimes need to fail before they can succeed.
Initiating, innovating and accelerating edible cities. A case study based on two transition experiments in the city of Dresden (Germany)
Authors: Reiß Kristin , Seifert Thea Luisa , Artmann Martina 
Published: February 2024

AbstractCivic transition experiments targeting sustainable food production increasingly engage with edible cities aiming at providing free food on public urban spaces. To deepen the understanding regarding how transition experiments can build urban transformative capacities, this paper presents a transdisciplinary case study on two civic edible city initiatives and their measures to cooperatively initiate, innovate, and accelerate edible cities in Dresden (Germany). We identified the two key action areas “civic participation” and “cooperative area activation” covering ten key transition activities to illustrate the variety and content of a transformation towards an edible city. Based on expert interviews and document analyses, we evaluated their process progression by linking research from urban ecology with transformation science. By visualizing its quantitative results, common and distinct patterns of the edible city initiatives could be made visible. Overall, we found that the level of activity is highest in the key action area of “citizen participation”. In this context, both transition experiments had different but specific foci in terms of their key transition activities (i.e. education, activation of stakeholders), whereby activities related to civic empowerment and social cohesion were lacking in both cases. To re-shape narratives pertaining to land access, food production, and participation under the principles of justice, we suggest that transition experiments related to “civic participation” and “cooperative area activation” must be approached together. Our systematic assessment can then enable civic transition teams to strategically identify common goals that need to be prioritized for initiating, innovating, and accelerating urban edible commons.
Associations of the placental metabolome with immune maturation up to one year of age in the Swedish NICE-cohort
Authors: Hartvigsson Olle , Barman Malin , Rabe Hardis , Sandin Anna , Wold Agnes E , Brunius Carl , Sandberg Ann-Sofie 
Published: February 2024

Abstract
Introduction
Allergies and other immune-mediated diseases are thought to result from incomplete maturation of the immune system early in life. We previously showed that infants’ metabolites at birth were associated with immune cell subtypes during infancy. The placenta supplies the fetus with nutrients, but may also provide immune maturation signals.

Objectives
To examine the relationship between metabolites in placental villous tissue and immune maturation during the first year of life and infant and maternal characteristics (gestational length, birth weight, sex, parity, maternal age, and BMI).

Methods
Untargeted metabolomics was measured using Liquid Chromatography-Mass Spectrometry. Subpopulations of T and B cells were measured using flow cytometry at birth, 48 h, one, four, and 12 months. Random forest analysis was used to link the metabolomics data with the T and B cell sub populations as well as infant and maternal characteristics.

Results
Modest associations (Q2 = 0.2–0.3) were found between the placental metabolome and kappa-deleting recombination excision circles (KREC) at birth and naïve B cells and memory T cells at 12 months. Weak associations were observed between the placental metabolome and sex and parity. Still, most metabolite features of interest were of low intensity compared to associations previously found in cord blood, suggesting that underlying metabolites were not of placental origin.

Conclusion
Our results indicate that metabolomic measurements of the placenta may not effectively recognize metabolites important for immune maturation.
Assessing the impact of seed accelerators in start-ups from emerging entrepreneurial ecosystems
Authors: Yagüe-Perales Rosa M. , March-Chorda Isidre , López-Paredes Héctor 
Published: February 2024

AbstractThis study provides new evidence regarding the significance of enrolling in a seed accelerator programme for the performance and prospects of startups. The main novelty and contributions of this work lie in siting the analysis within an emerging entrepreneurial ecosystem (EE) and exploring the impact of both the business model and technological levels of new ventures. We tested a set of six hypotheses through empirical analysis of a dataset comprising 735 startups located in Valencia (Spain), a region representing the category of an emerging, medium-sized EE. The findings revealed that within this EE, the advantages of being accelerated tended to diminish and were more marginal than expected. Furthermore, the seed accelerator profile appeared to be of little importance to the prospects and attractiveness of firms to investors. Interestingly, their technological levels were strongly correlated with higher investment but not with a higher number of employees. The expected direct relationship between funding and firm size was also confirmed. A particularly noteworthy finding was the direct relationship between a higher technological level and business-to-business (B2B) models, as well as the opposite relationship for business-to-consumer (B2C) models. These findings have several significant implications for management and policymakers, including the apparent lack of advantages for accelerated firms in closing large investment rounds and the recommendation that incubators prioritise new ventures with high technological capacity and focussing on B2B models. Finally, we highlight the profile of startups with strong prospects for attracting investment and scaling up.
Sediment budget of a Maumee River headwater tributary: how streambank erosion, streambed-sediment storage, and streambed-sediment source inform our understanding of legacy phosphorus
Authors: Williamson Tanja N. , Fitzpatrick Faith A. , Kreiling Rebecca M. , Blount James D. , Karwan Diana L. 
Published: February 2024

Abstract
Objective
We described source and phosphorus (P) retention potential of soft, fine-grained, streambed sediment and associated phosphorus (sed-P) during summer low-flow conditions. Combining in-channel, sed-P storage with relative age provided context on relevance to western Lake Erie Basin management goals.

Methods
In 2019, rapid geomorphic assessment (30 reaches) compared streambed-sediment storage (S) to streambank erosion (E), providing annual sediment budgets (S:E). Streambed sediment (13 reaches) was fingerprinted and analyzed for sed-P. The P saturation ratio (PSR; four reaches) quantified potential sorption/desorption of dissolved P (DP) between the water column and streambed sediment. Analyses were supplemented with data from 2017 and 2021. The ratio of two fallout radionuclides, beryllium-7 (54-day half-life) and excess lead-210 (22.3 years), apportioned “new” sediment based on time since rainfall contact.

Results
Streambed sediment was mostly streambank (54–96%) for contributing areas > 2.7 km2; for upstream reaches, a larger percentage was apportioned as upland (cropland, pasture, forest, and road), with < 30% streambank. Streambank erosion correlated with contributing area; however, soil type (ecoregion), stream characteristics, and land use combined to drive streambed-sediment storage. Individual-reach S:E (accumulation of 0.01–35 years of streambank erosion) differentiated erosional and depositional in-channel environments. Most reaches indicated that 17–57% of sediment had recent contact with rainfall. Streambed-sediment PSR indicated a low potential for further sorption of DP from the water column; one reach was a P source when sampled.

Conclusion
Sed-P was higher in streambed sediment than in source samples, which varied by land use and ecoregion. This indicates homogenization resulting from in-stream sorption of DP during sediment transport that occurs over multiple events.
Ecological implications of boron and sulfur in sediments from a lake in the Nile Delta: Remote sensing, fractionation and ecotoxicity
Authors: El Zokm Gehan M. , Okbah Mohamed A. , El-Said Ghada F. , Sinoussy Khaled S. 
Published: February 2024

Abstract
Purpose
The study aimed to provide an overview of the behavior, fate and ecotoxicity of boron and sulfur in the sediments of Lake Burullus, Egypt, after the degradation of the lake area.

Materials and methods
Changes in the studied lake area due to human activities were estimated using Erdas Imagine v14 and ArcGIS. Sequential and non-sequential extraction techniques for boron and sulfur fractionation in sediments were evaluated.

Results and discussion
A remote-sensing tracking investigation revealed a decrease in area of about 19.4%. Boron geochemical fractions had the order of residual (BF5, 61.48 ± 3.84%) > bound oxide (BF3, 15.47 ± 9.64%) > specifically adsorbed (BF2, 13.34 ± 9.85%) > bound organic (BF4, 9.85 ± 12.40%) > water-soluble and exchangeable (BF1, 2.2 ± 2.66%). Sulfur gave the order of the fractions as residual (SF5, 70.52 ± 16.92%) > phosphate extractable (SF2, 15.47 ± 9.34%) > bound organic (SF4, 7.20 ± 5.35%) > CaCl2 -extractable (SF3, 9.85 ± 12.40%) > water-soluble sulfur (SF1, 1.34 ± 1.52%). A worst-case scenario involving boron and sulfur toxicity values was studied using mixture risk characterization ratios (RCRmix) based on the predicted no effect concentration (PNEC) and sum of toxic units (STU).

Conclusions
The RCRmix and STU of boron showed high long-term risks to aquatic organisms, while sulfur showed high short-term risks. Invertebrates were the most sensitive species to boron and sulfur. This study sheds light on the ecological impact of boron and sulfur in Lake Burullus sediments, highlighting potential risks to aquatic organisms. Further research could focus on developing mitigation strategies to address these concerns.

Graphical Abstract
Arching development above active trapdoor: insight from multi-scale analysis using FEM–SPH
Authors: Xiong Hao , Qiu Yuanyi , Shi Xiusong , Wang Xiang , Chen Xiangsheng 
Published: February 2024

AbstractUnderground excavation is usually accompanied by complex soil-structure interaction problems in practical engineering. This paper develops a novel multi-scale approach for investigating the soil arching effect through trapdoor tests. This approach adopts the finite element method (FEM) and smoothed particle hydrodynamics (SPH) method to handle the particle-rigid body interaction in the trapdoor tests, incorporating a micromechanical 3D-H model to derive the nonlinear material response required by the SPH method. The variation of the earth pressure on the trapdoor in simulations exhibits good agreement with those of the experiments. Extensive parametric analyzes are performed to assess the effects of soil height and inter-particle friction angle on the evolution of load transfer and soil deformation. Three deformation patterns are observed under different buried conditions, including the trapezoid, the triangle, and the equal settlement pattern. Results indicate that the planes of equal settlement develop progressively with the trapdoor movement and then enter the range of experimentally observed values. Additionally, three failure mechanisms are identified that correspond to the three deformation patterns. Due to the advantages of the micromechanical model, mesoscale behavior is captured. The anisotropy of stress distribution in the plastic region is found during the arching process.