bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting the adoption and spread of a community-based marine management initiative using agent-based models
Authors: Jørgensen Andreas Christ Sølvsten , Pienkowski Thomas , Clark Matthew , Dunn Mathilda , Jagadish Arundhati , Bellot Alvaro Roel , Mangubhai Sangeeta , Tawake Alifereti , Vakalalabure Margaret Tabunakawai , Waqa Elisabeta , O’Garra Tanya , Govan Hugh , Shahrezaei Vahid , Mills Morena 
Published: June 2024

AbstractWhile many successful initiatives for conserving nature exist, efforts to take them to scale have been inadequate. Moreover, conservation science currently lacks a systematic methodology for determining if or when interventions will reach effective scales and how programmatic decisions will affect the scaling process. This paper presents a modelling framework that aims to address both issues by operationalizing Diffusion of Innovations theory and local knowledge using agent-based modelling and Bayesian inference. By applying our framework to existing data on the spatiotemporal adoption of a community-based marine management initiative in Fiji, we demonstrate that our approach can identify the mechanisms that govern the observed adoption patterns. In this case, the relative advantage of the intervention, village social networks, and perceived knowledge stand out as important drivers of adoption. Using the identified causal processes, our approach can forecast business-as-usual and counterfactual future scenarios and hence inform conservation policy. Finally, we highlight the importance of spatiotemporal data for making detailed scaling predictions. We structure the paper as a step-by-step guide, highlighting our modelling decisions and possible limitations. Thus, besides presenting a case study, this paper serves as a template for practitioners and researchers to better model the scaling process of other conservation interventions.
Low-dimensional olfactory signatures of fruit ripening and fermentation
Authors: Zhou Yuansheng , O’Connell Thomas F. , Ghaninia Majid , Smith Brian H. , Hong Elizabeth J. , Sharpee Tatyana O. 
Published: June 2024

AbstractOdors provide an important communication channel between plants and animals. Fruits, vital nutrient sources for animals, emit a complex array of monomolecular volatiles. Animals can use the structure of these mixtures to assess properties of fruit predictive of their nutritive and reproductive value. We analyzed the statistics of fruit odor mixtures sampled across stages of ripening and fermentation to find that they fall on a low-dimensional hyperbolic map. Hyperbolic maps, with their negative curvature and an exponentially expanding state options, are adept at describing hierarchical relationships in the data such as those arising from metabolic processes within fruits. In the hyperbolic map, samples followed a striking spiral trajectory. The spiral initiated near the map’s core, representing the under-ripe phase with specific profiles of monomolecular volatiles. Progressively mapping along the unfolding spiral trajectory were scent mixtures corresponding to ripening, and then rotting or fermentation. The unfolding process depended on the specific fermentation processes that dominated in the samples, determined largely by the microbes (e.g. bacteria or yeast) present in the sample. These results generalized across fruit types and describe trajectories in the natural odorant space with significant behavioral relevance for insects.
Data processing of product ion spectra: Methods to control false discovery rate in compound search results for non-targeted metabolomics
Authors: Matsuda Fumio 
Published: June 2024

AbstractIn non-targeted metabolomics utilizing high-resolution mass spectrometry, several database search methods have been used to comprehensively annotate the acquired product ion spectra. Recent advancements in variousin silicoprediction techniques have facilitated compound searches by scoring the degree of coincidence between a query product ion spectrum and a compound in a compound database. Certain search results may be false positives, thus necessitating a method for controlling the false discovery rate (FDR). This study proposed two simple methods for controlling the FDR in compound search results. In the pseudo-target decoy method, the FDR can be estimated without creating a separate decoy database by treating such as the positive ion mode spectra as targets and converting the negative ion mode spectra as decoys. Further, the second-rank method uses the score distribution of the second-ranked hits from the compound search as an approximation of the false-positive distribution of the top-ranked hits. The performance of these methods was evaluated by annotating the product ion spectra fromMassBank using the SIRIUS 5 CSI:Finger ID scoring method. The results indicated that the second-rank method was closer to the true FDR of 0.05. When applied to the four human metabolomics datasets, the second-rank method provided more conservative FDR estimations than the pseudo-target-decoy method. These methods enabled the identification of metabolites not present in human metabolome databases. Overall, this study demonstrates the utility of these simple methods for FDR control in non-targeted metabolomics, facilitating more reliable compound identification and the potential discovery of novel metabolites.
Structural connectivity matures along a sensorimotor-association connectional axis in youth
Authors: Xu Xiaoyu , Yang Hang , Cong Jing , Sydnor Valerie , Cui Zaixu 
Published: June 2024

AbstractChildhood and adolescence are associated with protracted developmental remodeling of cortico-cortical structural connectivity. However, how heterochronous development in white matter structural connectivity spatially and temporally unfolds across the macroscale human connectome remains unknown. Leveraging non-invasive diffusion MRI data from both cross-sectional (N = 590) and longitudinal (baseline: N = 3,949; two-year follow-up: N = 3,155) developmental datasets, we found that structural connectivity development diverges along a pre-defined sensorimotor-association (S-A) connectional axis from ages 8.1 to 21.9 years. Specifically, we observed a continuum of developmental profiles that spans from an early childhood increase in connectivity strength in sensorimotor-sensorimotor connections to a late adolescent increase in association-association connectional strength. The S-A connectional axis also captured spatial variations in associations between structural connectivity and both higher-order cognition and general psychopathology. Together, our findings reveal a hierarchical axis in the development of structural connectivity across the human connectome.
Atomic-scale mechanisms of GDP extraction by SOS1 in KRAS-G12 and KRAS-D12 oncogenes
Authors: Hu Zheyao , Martí Jordi 
Published: June 2024

ABSTRACTThe guanine exchange factor SOS1 is a crucial node into the positive feedback regulation of the KRAS signaling pathway. Currently, the regulation of KRAS-SOS1 interactions and KRAS downstream effector proteins has become a new hotspot in the development of KRAS-driven cancer therapies. However, the detailed dynamic mechanisms of SOS1-catalyzed GDP extraction and the impact of KRAS mutations remain unknown. Herein, the main mechanisms of GDP extraction from KRAS oncogenes by means of the guanine exchange factor SOS1 are disclosed and described with full details at the atomic-level. For GDP-bound wild-type KRAS, four amino acids (Lys811, Glu812, Lys939 and Glu942) responsible for the catalytic function of SOS1 were identified. With the occurrence of KRAS-G12D mutation, the GDP extraction rate is significantly increased. The molecular interactions behind this phenomenon have been subsequently identified being mainly hydrogen bonding interactions between the mutated residue Asp12 and a positively charged pocket located at the intrinsically disordered region807−818and composed by Ser807, Trp809, Thr810 and Lys811. Our findings provide new insights into the SOS1-KRAS interactions and facilitate the development of related anti-cancer strategies based on the blockage of the above described mechanisms.
Chiral photoelectron spectroscopy using unpolarized light
Authors: Suzuki Yoshi-Ichi 
Published: June 2024

This Letter studies the symmetry properties of general vector correlations resulting from one-photon excitation of chiral molecules. We show that the parity-odd second rank tensor is nonzero for molecules in all chiral point groups Cn, Dn, T, O, and I. This chirality-sensitive tensor is nonzero even for chiral isotopomers excited by linearly polarized or even unpolarized light. We develop an irreducible tensor theory based on Curie's limiting groups. As an example of vector correlations, recoil-frame photoelectron angular distributions (RFPADs) are calculated for methyloxirane and CHFCl35Cl37. The difference in the RFPAD between a chiral molecule and its mirror image reaches ±35% of the maximum value for the RFPAD for unpolarized light and ±55% of the value for linearly polarized light. Chiral sensitivity in vector correlation is a quite general phenomenon arising from one-photon excitation by unpolarized and linearly polarized light, and we expect it to be of great importance in time-resolved spectroscopy of ultrafast chemical reactions.

Published by the American Physical Society
2024
Consumer attitudes in the ecological sociotechnical transition: a comparative study between Argentina, Brazil, China, France and Italy
Authors: Cunha Christiano França da , Xavier Laura dos Santos , Nunes Rubens , Silva Vivian Lara 
Published: June 2024

PurposeThis article investigated how consumer choices guided by their underlying microfoundations can either facilitate or hinder socio-technical transitions in the agri-food system. To this end, consumers from five countries (Argentina, Brazil, China, France and Italy) were asked to choose products common to the food basket of these five countries (coffee, yogurt and chicken) with different sensorial and ecological attributes.Design/methodology/approachTo this end, 1,417 interviews were carried out in these countries. Data were collected on four choices (from the most sustainable to the least sustainable) as well as sociodemographic elements and whether or not the price was mentioned. These choices were observed using two logit models (A and B).FindingsThe article provides evidence that the propensity to choose ecologically beneficial foods is affected by country, gender, income and level of formal education as well as by the microfoundations of choice, such as individual values and attitudes.Practical implicationsTo offer truly sustainable products, it is essential to take into account the role of countries and the microfoundations of their inhabitants’ food choices. By recognizing this crucial element, we can raise the probability of successful eco-friendly products, reducing their impact on the environment and enhancing welfare.Social implicationsAccording to the results observed in this paper, to truly offer sustainable products, we must take into account the microfoundation and the sociotechnological transition elements. By doing so, we hope that efforts toward sustainability not only benefit the environment but also the surrounding communities. So, paying attention to consumers' food choice process helps to create products that are truly sustainable in every sense of the word and will benefit very much the society, in other words, will have a greater social implication.Originality/valueThis article makes a significant contribution to the theory by revealing how micro-foundations driving consumers' choices toward sustainable food products can accelerate the ecological sociotechnical transition in agri-food systems. By shedding light on this crucial aspect, we can pave the way for a more sustainable future.
Multi-central bank digital currencies arrangements: a multivocal literature review
Authors: Sood Kirti , Singh Simarjeet 
Published: June 2024

PurposeThe present study aims to systematically synthesize the academic and industrial literature on multi-central bank digital currencies (m-CBDCs) arrangements.Design/methodology/approachThe study adopted a unique multivocal literature review methodology that considers both white and grey literature. For white literature searches, the study relied on Scopus, Web of Science (WOS), and Google Scholar bibliometric databases; for grey literature searches, the study used the Google search engine.FindingsThe findings of the study illustrated that M-CBDC arrangements, through various design options, have the potential to revolutionize the contemporary international payment system. M-CBDC arrangements will lead to more integrated financial systems and promote economic growth. However, m-CBDC arrangements will also have serious macroeconomic implications, such as contagion and currency substitution risks.Research limitations/implicationsThe present review is one of the earliest reviews of m-CBDC arrangements. In addition, the findings of the study offer valuable insights for both academicians and policymakers.Originality/valueThe study is also one of the pioneer studies in management studies that apply a multivocal literature review methodology.
Unveiling elicitation: a socioecological sensemaking-driven path across innovation in capitalist representations
Authors: Barile Sergio , La Sala Antonio , Nespoli Chiara , Calabrese Mario 
Published: June 2024

PurposeThe paper positions social and technological innovation as pivotal counterforces to conservative resistance against change, particularly in light of the recurrent economic and technological upheavals characterizing the present shape of capitalism.Design/methodology/approachThe research adopts a qualitative methodology, rooted in a comparative case study approach, offering a critical retrospective analysis of societal disruptions and transformations. Central to this methodological framework is the construct of sensemaking, which is characterized as the process by which collective entities retrospectively develop plausible narratives that rationalize their experiences. The approach is informed by the dynamics of socio-ecological systems, which are understood to undergo cyclical phases of growth, stabilization, collapse, and regeneration.FindingsThe study shows evidence that resilience and adaptability are more authentically gauged by socio-technological responses to cyclical disruptions and recoveries. It delineates sensemaking as a crucial socioecological mechanism through which elicitation emerges and societies and organizations navigate these cycles, forging shared narratives from collective experiences that are driven by plausibility rather than mere accuracy.Practical implicationsThe research calls for the development of policies that synthesize disruptive innovations with strategies for social cohesion. Such policies must ensure the protection of the socioeconomic texture from implicit structural precariousness arising from innovation. The ability to integrate and institutionalize change is emphasized as crucial, demanding a synergy between innovative creativity, new normative frameworks, and the preservation of fundamental societal values.Originality/valueThe paper challenges reductionist technological interpretations of societal changes, advocating for a holistic perspective that accounts for the redistributive and elicitation roles as vital to the evolution of socio-economic systems. The value of this research lies in its comprehensive framing of these transformations, underscoring the importance of a multi-faceted understanding in the effective management of socioeconomic change.
Multidimensional energy poverty and human well-being: household-level evidence from India
Authors: Acharya Rajesh H. , Sadath Anver C. 
Published: June 2024

Purpose
This paper aims to assess the relationship between energy poverty and the well-being of people using Amartya Sen’s capability approach to development as theoretical underpinning.

Design/methodology/approach
The study uses household-level energy access data collected by the Harvard Dataverse in 2015 and 2018. The authors use multidimensional indices to measure energy poverty and well-being. Further, the authors apply quantile regression approach to measure the relationship between energy poverty and well-being.

Findings
The study’s findings reveal that energy poverty and well-being are negatively related. India has made progress in reducing energy poverty and improving well-being during the study period. However, progress in reducing energy poverty is largely due to improved access to electricity and improvement in well-being due to income and financial inclusion. Using modern cooking fuel has a greater negative impact on well-being compared to lighting using electricity. Further, households spending a greater proportion of their income on modern energy fuels leads to a lower quality of life as it precludes them from using it for other purposes. The study records wide variations in the observed relationship between energy poverty and well-being across various socioeconomic groups.

Practical implications
This calls for improvement in the production and distribution of modern energy resources, which have substantial welfare implications.

Originality/value
This is the first study to measure the relationship between energy poverty and quality of life using multidimensional indices. The findings of this paper have policy implications for the pricing of energy resources and energy access measures.
Evaluation of tribological performance in contact pairs by implementing the biomimetic surface textures with lubricant flow using CFD techniques
Authors: Abhilash Madaparthi , Ramkumar Penchaliah , Vengadesan Sankaranarayanan 
Published: June 2024

Purpose
This paper aims to investigate the tribological benefits of a biomimetic teardrop surface texture inspired by snakeskin compared to conventional surface textures with the help of geometrical and flow parameters using computational fluid dynamics techniques.

Design/methodology/approach
The lubricant is assumed to be Newtonian, and the flow is laminar with constant viscosity and isothermal property. The governing equations, continuity and Navier–Stokes equation, are discretised by the finite volume method, and cavitation modelling is included. The discretisation for the momentum equations is carried out using the second-order difference method for the SIMPLEC algorithm of pressure–velocity coupling.

Findings
The results indicate that biomimetic teardrop surface texturing performs better than conventional shapes surface textures in improving tribological performance. Furthermore, the parallel texture orientation along with the flow generates a high-pressure distribution relative to other orientations. Surface texture area density also highly influences the load-carrying capacity, which is optimum at 29%. Zigzag pattern arrangement performs better compared to linear pattern arrangement of texturing.

Originality/value
The paper proposes that this unique biomimetic teardrop shape can give better tribological performance than conventional shapes.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0053/
Multi-objective optimization of parts construction direction by scaling-enumeration method in L-PBF process
Authors: Zhao Xi , Wang Tong 
Published: June 2024

Purpose
Part building orientation (PBO) is an important factor affecting the quality of laser powder bed fusion (L-PBF), which can affect the surface quality and manufacturing cost. The purpose of this paper is to propose a PBO optimization method to optimize the surface roughness and molding time of parts at the same time on the premise of small calculation scale and arbitrary resolution.

Design/methodology/approach
Efficient and accurate evaluation is an important index of PBO optimization method. In this paper, a PBO optimization method based on scaling enumeration method is proposed, and the surface roughness and molding time of L-PBF parts are modeled as the objective evaluation function of PBO optimization process. To realize multi-objective optimization, an expert system is established, and the fuzzy multiple-attribute group decision-making theory is used to provide weights for each objective evaluation function.

Findings
Research shows that the scaling-enumeration method can optimize the surface roughness and molding time at the same time and get the best PBO. Compared with the traditional method, the surface roughness and molding time are reduced by 1.1% and 0.58%, respectively, and the operation scale of the scaling-enumeration method is reduced by 99% compared with the traditional method. PBO with arbitrary angular resolution can be achieved.

Originality/value
This paper presents a new method to optimize the forming direction of L-PBF parts. This method has small operation scale and accurate results, so it is meaningful for industrial application.
Genome‐resolved metagenomics reveals diverse taxa and metabolic complexity in Antarctic lake microbial structures
Authors: Greco Carla , Andersen Dale T. , Yallop Marian L. , Barker Gary , Jungblut Anne D. 
Published: June 2024

AbstractLake Untersee, a lake in Antarctica that is perennially covered with ice, is home to unique microbial structures that are not lithified. We have evaluated the structure of the community and its metabolic potential across the pigmented upper layers and the sediment‐enriched deeper layers in these pinnacle and cone‐shaped microbial structures using metagenomics. These microbial structures are inhabited by distinct communities. The upper layers of the cone‐shaped structures have a higher abundance of the cyanobacterial MAG Microcoleus, while the pinnacle‐shaped structures have a higher abundance of Elainellacea MAG. This suggests that cyanobacteria influence the morphologies of the mats. We identified stark contrasts in the composition of the community and its metabolic potential between the upper and lower layers of the mat. The upper layers of the mat, which receive light, have an increased abundance of photosynthetic pathways. In contrast, the lower layer has an increased abundance of heterotrophic pathways. Our results also showed that Lake Untersee is the first Antarctic lake with a substantial presence of ammonia‐oxidizing Nitrospiracea and amoA genes. The genomic capacity for recycling biological molecules was prevalent across metagenome‐assembled genomes (MAGs) that cover 19 phyla. This highlights the importance of nutrient scavenging in ultra‐oligotrophic environments. Overall, our study provides new insights into the formation of microbial structures and the potential metabolic complexity of Antarctic laminated microbial mats. These mats are important environments for biodiversity that drives biogeochemical cycling in polar deserts.