bluuebunny/crossref_metadata_2025_split huggingface dataset:
Density-dependent facilitation and inhibition between submerged and free-floating plants
Authors: Szabó Sándor , Csizmár Aliz , Koleszár Gergő , Oláh Viktor , Birk Sebastian , Peeters Edwin T. H. M. 
Published: March 2024

AbstractThis study aimed at testing the hypothesis that free-floating plants may facilitate the growth of submerged plants under hypertrophic conditions and intermediate plant density. The effects of Lemna presence on the growth of two submerged plants (Elodea nuttallii and Ceratophyllum demersum) over a nitrogen gradient were experimentally investigated. This was complemented with analysing the presence of C. demersum and E. nuttallii in Hungary and in Germany in relation to the density of free-floating plants. Results showed a negative exponential pattern between underwater light intensity and Lemna cover. Ceratophyllum and Elodea relative growth rate decreased with increasing nitrogen concentrations and additional low Lemna density stimulated Ceratophyllum and suppressed Elodea. Elodea decreased linearly with Lemna density while Ceratophyllum showed a unimodal response. Total algal biomass (epiphytic and planktonic) was higher in Ceratophyllum than in Elodea treatments and decreased rapidly with increasing Lemna density. The field studies showed a positive relationship between Ceratophyllum and a negative one between Elodea and free-floating plant cover. This study clearly showed that free-floating plants can have either facilitating or inhibiting impact on the growth of submerged plants depending on cover density and macrophyte species. The facilitating effect on Ceratophyllum is most likely due to suppressing epiphytic algal growth.
Vision based process monitoring in wire arc additive manufacturing (WAAM)
Authors: Franke Jan , Heinrich Florian , Reisch Raven T. 
Published: March 2024

Abstract
A stable welding process is crucial to obtain high quality parts in wire arc additive manufacturing. The complexity of the process makes it inherently unstable, which can cause various defects, resulting in poor geometric accuracy and material properties. This demands for in-process monitoring and control mechanisms to industrialize the technology. In this work, process monitoring algorithms based on welding camera image analysis are presented. A neural network for semantic segmentation of the welding wire is used to monitor the working distance as well as the horizontal position of the wire during welding and classic image processing techniques are applied to capture spatter formation. Using these algorithms, the process stability is evaluated in real time and the analysis results enable the direction independent closed-loop-control of the manufacturing process. This significantly improves geometric fidelity as well as mechanical properties of the fabricated part and allows the automated production of parts with complex deposition paths including weld bead crossings, curvatures and overhang structures.
Association Between Gambling Motives, Violence and Early Maladaptive Schemas in Women with Gambling Disorder
Authors: Estévez A. , Jauregui P. , Momeñe J. , Macía L. 
Published: March 2024

AbstractAnalyzing why being a victim of violence has led women to have problems with gambling is a field yet to be explored. Thus, the objectives of the present study were (I) analyze the relationship between gambling motives, received psychological violence, and early maladaptive schemas in women; (II) study differences in the study variables in women with and without gambling disorder (GD); (III) analyze the predictive role of violence and schemas in gambling motives; and (IV) analyze the mediating role of schemas in the relationship between violence and gambling motives. The sample comprised 61 women with GD (M = 48.43, SD = 12.78) and 342 women without GD (M = 26.91, SD = 11.47). The results of the present study revealed positive correlations between gambling motives, psychological violence received and early maladaptive schemas. In addition, women with GD scored higher on the study variables. It was also found that early maladaptive schemas based on subjugation and defectiveness may be a vulnerability factor for engaging in gambling to cope with the negative emotions produced by gender violence. From a clinical perspective, knowing the risk factors related to gambling motives in women is crucial to developing effective prevention and intervention programs.
Navigating the Mental Lexicon: Network Structures, Lexical Search and Lexical Retrieval
Authors: Agustín-Llach M. P. , Rubio J. 
Published: March 2024

AbstractThis paper examines the implications of the association patterns in our understanding of the mental lexicon. By applying the principles of graph theory to word association data, we intend to explore which measures tap better into lexical knowledge. To that end, we had different groups of English as Foreign language learners complete a lexical fluency task. Based on these empirical data, a study was undertaken on the corresponding lexical availability graph (LAG). It is observed that the aggregation (mentioned through human coding) of all lexical tokens on a given topic allows the emergence of some lexical-semantic patterns. The most important one is the existence of some key terms, featuring both high centrality in the sense of network theory and high availability in the LAG, which define a hub of related terms. These communities of words, each one organized around an anchor term, or most central word, are nicely apprehended by a well-known network metric called modularity. Interestingly enough, each module seems to describe a conceptual class, showing that the collective lexicon, at least as approximated by LA Graphs, is organised and traversed by semantic mechanisms or associations via hyponymy or hiperonymy, for instance. Another empirical observation is that these conceptual hubs can be appended, resulting in high diameters compared to same-sized random graphs; even so it seems that the small-world hypothesis holds in LA Graphs, as in other social and natural networks.
Bullying Victims’ Perceived Social Support and Psychological Health and Prosocial Behavior: A Latent Profile Analysis
Authors: Huang Yanghua , Chui Harold 
Published: March 2024

AbstractThe literature on school bullying and perceived social support primarily relies on variable-centered approaches, investigating the independent effects of individual sources of social support. However, victims of school bullying perceive different combinations of levels of social support from multiple sources. Hence, there lacks a holistic person-centered examination of the joint effects of multiple sources of social support. The study surveyed 915 bullying victims (51.9% boys, 48.1% girls; Mage = 13.52, SD = 0.75). Latent profile analysis identified five profiles of social support across five sources (i.e., parents, teachers, classmates, close friends, and online-only friends): online-offline supported adolescents, offline supported adolescents, moderately supported adolescents, close friend supported adolescents, and unsupported. The five social support profiles were associated differently with bullying victims’ demographic characteristics (i.e., age, gender, and socioeconomic status), frequency of victimization, psychological health (i.e., subjective well-being, depression, and anxiety), and prosocial behavior. The findings support the heterogenous nature of social support perceived by bullying victims and offer insights into more tailored interventions aimed at promoting the development victims in different subgroups.
Analysis adapted from text mining quantitively reveals abrupt and gradual plant-community transitions after fire in sagebrush steppe
Authors: Applestein Cara , Anthony Christopher , Germino Matthew J 
Published: March 2024

Abstract
Context
Plant communities vary both abruptly and gradually over time but differentiating between types of change can be difficult with existing classification and ordination methods. Structural topic modeling (STRUTMO), a text mining analysis, offers a flexible methodology for analyzing both types of temporal trends.

Objectives
Our objectives were to (1) identify post-fire dominant sagebrush steppe plant association types and ask how they vary with time at a landscape (multi-fire) scale and (2) ask how often major association changes are apparent at the plot-level scale.

Methods
We used STRUTMO and plant species cover collected between 2002–2022 across six large burn areas (1941 plots) in the Great Basin, USA to characterize landscape change in dominant plant association up to 14 years post-fire. In a case study, we assessed frequency of large annual changes (≥ 10% increase in one association and decrease in another) between associations at the plot-level scale.

Results
STRUTMO revealed 10 association types dominated by either perennial bunchgrasses, mixed perennial or annual grasses and forbs, or exotic annual grasses. Across all study fires, associations dominated by large-statured perennial bunchgrasses increased then stabilized, replacing the Sandberg bluegrass (Poa secunda)-dominated association. The cheatgrass (Bromus tectorum)-dominant association decreased and then increased. At the plot-level, bidirectional changes among associations occurred in ~ 75% of observations, and transitions from annual invaded to perennial associations were more common than the reverse.

Conclusions
The analysis revealed that associations dominated by some species (i.e. crested wheatgrass, Agropyron cristatum, Siberian wheatgrass, Agropyron fridgida, or medusahead, Taeniatherum caput-medusae) were more stable than associations dominated by others (i.e. Sandberg bluegrass or cheatgrass). Strong threshold-like transitions were not observed at the multi-fire scale, despite frequent ephemeral plot-level changes.
The role of serum-glucocorticoid regulated kinase 1 in reproductive viability: implications from prenatal programming and senescence
Authors: Zhang Qiying , Tian Ye , Fu Zhujing , Wu Shuangyu , Lan Huizhen , Zhou Xuanle , Shen Wendi , Lou Yiyun 
Published: March 2024

Abstract

Objective
Organisms and cellular viability are of paramount importance to living creatures. Disruption of the balance between cell survival and apoptosis results in compromised viability and even carcinogenesis. One molecule involved in keeping this homeostasis is serum-glucocorticoid regulated kinase (SGK) 1. Emerging evidence points to a significant role of SGK1 in cell growth and survival, cell metabolism, reproduction, and life span, particularly in prenatal programming and reproductive senescence by the same token. Whether the hormone inducible SGK1 kinase is a major driver in the pathophysiological processes of prenatal programming and reproductive senescence?

Method
The PubMed/Medline, Web of Science, Embase/Ovid, and Elsevier Science Direct literature databases were searched for articles in English focusing on SGK1 published up to July 2023

Result
Emerging evidence is accumulating pointing to a pathophysiological role of the ubiquitously expressed SGK1 in the cellular and organismal viability. Under the regulation of specific hormones, extracellular stimuli, and various signals, SGK1 is involved in several biological processes relevant to viability, including cell proliferation and survival, cell migration and differentiation. In line, SGK1 contributes to the development of germ cells, embryos, and fetuses, whereas SGK1 inhibition leads to abnormal gametogenesis, embryo loss, and truncated reproductive lifespan.

Conclution
SGK1 integrates a broad spectrum of effects to maintain the homeostasis of cell survival and apoptosis, conferring viability to multiple cell types as well as both simple and complex organisms, and thus ensuring appropriate prenatal development and reproductive lifespan.
The generalized Kelvin chain-based model for an orthotropic viscoelastic material
Authors: Trcala M. , Suchomelová P. , Bošanský M. , Hokeš F. , Němec I. 
Published: March 2024

AbstractWe propose a constitutive material model to describe the rheological (viscoelastic) mechanical response of timber. The viscoelastic model is based on the generalized Kelvin chain applied to the orthotropic material and is compared to the simple approach given by standards. The contribution of this study consists of the algorithmization of the viscoelastic material model of the material applied to the orthotropic constitutive law and implementation into the FEM solver. In the next step, the fitting of the input parameters of the Kelvin chain is described, and at least a material model benchmark and comparison to the approach given by standards were done. The standardized approach is based on the reduction of the material rigidity at the end of the loading period using a creep coefficient, whereas the loading history state variables are not considered when establishing the result for a specific time step. The paper presents the benefits of the rheological model. It also demonstrates the fitting algorithm based on particle swarm optimization and the least squares method, which are essential for the use of the generalized Kelvin chain model. The material model based on the orthotropic generalized Kelvin chain was implemented into the FEM solver for the shell elements. This material model was validated on the presented benchmark tasks, and the influence of the time step size on the accuracy of model results was analyzed.
Comprehensive review of the skin use of bakuchiol: physicochemical properties, sources, bioactivities, nanotechnology delivery systems, regulatory and toxicological concerns
Authors: Mascarenhas-Melo Filipa , Ribeiro Mariana Marques , Kahkesh Kaveh Hatami , Parida Sagarika , Pawar Kiran D. , Velsankar K. , Jha Niraj Kumar , Damiri Fouad , Costa Gustavo , Veiga Francisco , Paiva-Santos Ana Cláudia 
Published: March 2024

AbstractBakuchiol is a meroterpene that has recently aroused great interest in the cosmetic and pharmaceutical industries. Its main source is the seeds of Psoralea corylifolia, a medicinal plant native to Asia, despite having a wide geographical distribution. However, this medicinal herb faces endangerment due to low seed germination rates and high seedling mortality. In this context, this review article highlights studies that have focused on describing plant regeneration from root fragments. Subsequently, given its morphological similarity to other species, a technique that can be used to verify the authenticity of the plant and prevent counterfeiting is also mentioned and explored. Additionally, a “green” extraction method for obtaining bakuchiol is presented, and the possibility of obtaining bakuchiol through chemical synthesis routes is also explored. Furthermore, we provide an exhaustive description of bakuchiol's wide range of biological activities, with particular relevance to the skin. The main skin bioactivities of bakuchiol include antifungal, antibacterial, antioxidant, anti-inflammatory, antiaging, depigmenting, and anticancer. However, the particular physicochemical properties of bakuchiol require and benefit from the development of innovative skin delivery systems that allow its encapsulation. These include micro- and nano-sized systems for therapeutic and cosmetic applications, which are also carefully described in this review article. Finally, regulatory issues, metabolic considerations, and toxicological concerns related to the use of bakuchiol in cosmetic and dermopharmaceutical formulations will be addressed, relating not only to the user but also to the environment.
Graphical abstract
Under pressure: elucidating soil compaction and its effect on soil functions
Authors: Frene Juan P. , Pandey Bipin K. , Castrillo Gabriel 
Published: March 2024

Abstract
Background
Modern agricultural practices have exacerbated soil compaction, largely due to the intensification of operations involving heavier machinery and tillage practices. Soil compaction increases soil bulk density and reduces porosity, limiting water and nutrient diffusion within the soil matrix. Soil compaction also alters bacterial and fungal communities in agroecosystems by favouring, for example, anaerobic prokaryotes and saprotrophic fungi. Under these conditions crop yields are reduced, affecting food security.

Scope
We review recent advances in understanding the impact of compaction on soil physical and chemical characteristics and plant physiological response to this stress, with special emphasis on the effect of soil compaction on bacterial and fungal communities and their interaction with the plant. Additionally, we discuss recent findings on plant responses to compacted soils that affect the recruitment of root microbiota and how the microbiota could help the plant cope with this stress. We also discuss possible strategies to mitigate the consequences of soil compaction in agricultural settings.

Conclusions
Research in soil compaction is far from conclusive about the mechanisms that plants use to respond to compaction. It is also not well understood how the microbiota inhabiting the roots participate in the plant response mechanisms to this stress. A better understanding of the mechanisms that drive the selection and establishment of the plant microbial community at the root-soil interface in compacted soils could help find new strategies that, together with existing ones, could improve crop production in compacted soils.
Too Young to Run? Voter Evaluations of the Age of Candidates
Authors: McClean Charles T. , Ono Yoshikuni 
Published: March 2024

AbstractWhy do elected officials tend to be much older than most of their constituents? To understand the mechanisms behind the underrepresentation of young people in public office, we conducted two novel survey experiments in Japan. We asked voters in these experiments to evaluate the photos of hypothetical candidates while altering candidates’ faces using age regression and progression software. Contrary to the observed age demographics of politicians, the voters in our experiments strongly disliked older candidates but viewed younger and middle-aged candidates as equally favorable. Voters saw young candidates as less experienced but also more likely to focus on many policy issues over a longer period, including education, childcare, climate change, anti-corruption measures, and multiculturalism. Young voters especially liked young candidates, suggesting that greater youth turnout could increase youth representation. Conversely, elderly candidates were universally panned, seen as the least competent, least likely to focus on most policy issues, and least electable. Voter biases thus do not seem to be a driving factor behind the shortage of young politicians. To the contrary, voters appear perfectly willing to cast their ballots for young candidates.
Are physicians rational under ambiguity?
Authors: Gao Yu , Huang Zhenxing , Liu Ning , Yang Jia 
Published: March 2024

AbstractDo physicians behave rationally when facing a new disease? This study assesses physicians’ ambiguity attitudes towards the future severity of the COVID-19 pandemic in its early stages and the financial market in the US using an incentive-compatible online experiment. Our findings indicate that physicians demonstrate significant deviations from expected utility, characterized by a modest degree of ambiguity aversion and pronounced levels of likelihood insensitivity. While physicians generally show less insensitivity to uncertainty compared to the general public, both groups exhibited similar levels of irrationality when dealing with the ambiguity surrounding the COVID-19 severity. These results underscore the necessity for debiasing strategies among medical professionals, especially in managing real-world uncertainties, with a specific focus on mitigating likelihood insensitivity.
The impact of funding on the 5G innovation ecosystem
Authors: van der Pol Johannes 
Published: March 2024

AbstractThis paper aims to extend the literature on the impact of research funding. Using 5G as a case study, this paper analyses how funding impacts the 5G innovation ecosystem. Using the functions of innovation systems as a framework, we analyse how several of these functions are influenced by research funding. The results a portion of the ecosystem only participates with funding. In addition the structure of the ecosystem is significantly altered. Research topics are also influenced by funding: some being mostly treated through funding. Funding has little to no impact on the publications that lead to patents.
Twistronics and moiré excitonic physics in van der Waals heterostructures
Authors: Li Siwei , Wei Ke , Liu Qirui , Tang Yuxiang , Jiang Tian 
Published: March 2024

AbstractHeterostructures composed of two-dimensional van der Waals (vdW) materials allow highly controllable stacking, where interlayer twist angles introduce a continuous degree of freedom to alter the electronic band structures and excitonic physics. Motivated by the discovery of Mott insulating states and superconductivity in magic-angle bilayer graphene, the emerging research fields of “twistronics” and moiré physics have aroused great academic interests in the engineering of optoelectronic properties and the exploration of new quantum phenomena, in which moiré superlattice provides a pathway for the realization of artificial excitonic crystals. Here we systematically summarize the current achievements in twistronics and moiré excitonic physics, with emphasis on the roles of lattice rotational mismatches and atomic registries. Firstly, we review the effects of the interlayer twist on electronic and photonic physics, particularly on exciton properties such as dipole moment and spin-valley polarization, through interlayer interactions and electronic band structures. We also discuss the exciton dynamics in vdW heterostructures with different twist angles, like formation, transport and relaxation processes, whose mechanisms are complicated and still need further investigations. Subsequently, we review the theoretical analysis and experimental observations of moiré superlattice and moiré modulated excitons. Various exotic moiré effects are also shown, including periodic potential, moiré miniband, and varying wave function symmetry, which result in exciton localization, emergent exciton peaks and spatially alternating optical selection rule. We further introduce the expanded properties of moiré systems with external modulation factors such as electric field, doping and strain, showing that moiré lattice is a promising platform with high tunability for optoelectronic applications and in-depth study on frontier physics. Lastly, we focus on the rapidly developing field of correlated electron physics based on the moiré system, which is potentially related to the emerging quantum phenomena.