bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of saltwater intrusion using 3D numerical modelling: a first for Pacific Island country of Vanuatu
Authors: Sharan Ashneel , Datta Bithin , Lal Alvin , Kotra Krishna K. 
Published: January 2024

AbstractSmall island countries like Vanuatu are facing the brunt of climate change, sea level rise (SLR), tropical cyclones, and limited or declining access to freshwater. The Tagabe coastal aquifer in Port Vila (the capital of Vanuatu) shows the presence of salinity, indicating saltwater intrusion (SWI). This study aims to develop and evaluate effective SWI management strategies for Tagabe coastal aquifer. To manage SWI, the numerical simulation model for the study area was developed using the SEAWAT code. The flow model was developed using MODFLOW and the transport model was developed using MT3DMS. Whereby SEAWAT solved flow and transport equations simultaneously. The model was calibrated, and different scenarios were evaluated for the management of SWI. The SLR was also considered in the model simulations. The results indicated that increased population, pumping rates, and SLR affect the SWI rates. To manage the SWI, we introduced hydraulic barriers like barrier wells and injection wells which effectively managed SWI in Tagabe coastal aquifer. The results from this study are significantly important whereby, the water managers, site owners, and governing bodies can use the management strategies presented in this study to create policies and regulations for managing SWI rates in Port Vila. Additionally, the water industry, private businesses, and investors who wish to extract groundwater from the Tagabe can use this study as a reference for daily or yearly freshwater production rates without the risk of SWI.
Analysis of production routes for silicon carbide using air as carbon source empowering negative emissions
Authors: Mühlbauer Andreas , Keiner Dominik , Galimova Tansu , Breyer Christian 
Published: January 2024

AbstractA rapid defossilisation of the industry sector is required to stop further greenhouse gas emissions and to curb global warming. Additionally, to avoid irreversible consequences caused by climate change, the deployment of negative emission technologies is required to reduce the carbon dioxide (CO2) concentration in Earth’s atmosphere to a sustainable level. A novel approach to store gaseous CO2 from direct air capture facilities in solid silicon carbide (SiC) is presented. A chain of established processes to produce SiC from renewable electricity and air is evaluated in terms of energy and mass balances. Furthermore, possible fields of SiC utilisation are considered. Electricity-based SiC (e-SiC) can serve the growing global market for technical ceramics and can possibly be used to tackle increasing construction sand shortages in the construction industry by partially substituting sand. Calculations of the levelised cost of carbon dioxide removal show that storing ambient CO2 in solid SiC that can be subsequently sold on the world market can eventually create profit. In 2050, a net benefit of 259 €/tCO2 or 631 €/tSiC can be realised if the SiC product is sold at the world market with additional carbon compensation. Therefore, the proposed SiC production chain might be able to challenge conventionally produced SiC, while empowering negative emissions. In 2050, the net CO2 emission potential is limited to about 290 MtCO2/a for technical ceramics, but may reach up to 13.6 GtCO2/a for construction sand. Results show that e-SiC production is economically feasible for technical ceramics but not for construction sand without further process cost decrease. Alternative processes to produce e-SiC are described and evaluated. Future research opportunities are discussed.
Gatekeepers or gatecrashers? The inside connection in editorial board publications of Turkish national journals
Authors: Tutuncu Lokman 
Published: January 2024

AbstractThis study investigates publication portfolio of 2684 editors in 255 Turkish university journals in Social Sciences. It argues that semi-closed structures of university journals are places fostering insider culture and editors engaging in inside publication practice are likely to publish inside articles of their colleagues from the same institution. The research relies on the contrast between inside articles and international articles to quantify editors’ publication behaviour. Results show that editors demonstrate widespread insider behaviour and rarely publish international articles. Editors’ inside articles correspond to nearly one third of their national research output and outnumber Social Sciences Citation Index (SSCI) publications by 3.5 to 1. Two measures, board inside articles and inside-to-SSCI article ratio are used to test the association between editor and journal inside publications and show that editors publishing through inside connections facilitate publication of inside papers. At the individual level, editorial seniority, academic seniority and academic experience are related to insider behaviour, while female editors and editors with overseas PhD degrees are negatively associated. Education journal editors are the most prolific SSCI publishers (2 papers per editor) while Faculty of Science and Literature journal editors are the most prolific insiders (6.6 inside papers per editor). Results indicate an underqualification problem and highlight the importance of meritocratic editor selection to mitigate insider bias.
Valdeprovedo open-air site: a knapping event in the early Upper Paleolithic of the Sierra de Atapuerca (Burgos, Spain)
Authors: Santamaría Marta , Navazo Marta , Benito-Calvo Alfonso , Medialdea Alicia , Carbonell Eudald 
Published: January 2024

AbstractIn this paper, we present the site of Valdeprovedo (Sierra de Atapuerca, Burgos), an open-air Paleolithic site. This site is attractive for study and research for three main reasons. First, it is an open-air site with an extraordinarily well-preserved lithic assemblage that corresponds to a very short-lived event. Second, in this small area, refits have been achieved with a high refitting rate, which allows us to reconstruct the action carried out in this place during a specific moment, around 28 ka. And third, this is the first site of this chronology that has been documented in the Sierra de Atapuerca, providing new data on the inland population of the Iberian Peninsula by Upper Paleolithic groups.
Context-flexible cartography with Siamese topological neural networks
Authors: Hartono Pitoyo 
Published: January 2024

AbstractCartography is a technique for creating maps, which are graphical representations of spatial information. Traditional cartography involves the creation of geographical data, such as locations of countries, geographical features of mountains, rivers, and oceans, and celestial objects. However, cartography has recently been utilized to display various data, such as antigenic signatures, graphically. Hence, it is natural to consider a new cartography that can flexibly deal with various data types. This study proposes a model of Siamese topological neural networks consisting of a pair of hierarchical neural networks, each with a low-dimensional internal layer for creating context-flexible maps. The proposed Siamese topological neural network transfers high-dimensional data with various contexts into their low-dimensional spatial representations on a map that humans can use to gain insights from the data. Here, it is enough to define a metric of difference between an arbitrary pair of data instances for training the proposed neural network. As the metric can be arbitrarily defined, the proposed neural network realizes context-flexible cartography useful for visual data analysis. This paper applies the proposed network for visualizing various demographic data.
Automatic Food Recognition Using Deep Convolutional Neural Networks with Self-attention Mechanism
Authors: Abiyev Rahib , Adepoju Joseph 
Published: January 2024

AbstractThe significance of food in human health and well-being cannot be overemphasized. Nowadays, in our dynamic life, people are increasingly concerned about their health due to increased nutritional ailments. For this reason, mobile food-tracking applications that require a reliable and robust food classification system are gaining popularity. To address this, we propose a robust food recognition model using deep convolutional neural networks with a self-attention mechanism (FRCNNSAM). By training multiple FRCNNSAM structures with varying parameters, we combine their predictions through averaging. To prevent over-fitting and under-fitting data augmentation to generate extra training data, regularization to avoid excessive model complexity was used. The FRCNNSAM model is tested on two novel datasets: Food-101 and MA Food-121. The model achieved an impressive accuracy of 96.40% on the Food-101 dataset and 95.11% on MA Food-121. Compared to baseline transfer learning models, the FRCNNSAM model surpasses performance by 8.12%. Furthermore, the evaluation on random internet images demonstrates the model's strong generalization ability, rendering it suitable for food image recognition and classification tasks.
Can Confirmation Bias Improve Group Learning?
Authors: Gabriel Nathan , O’Connor Cailin 
Published: January 2024

AbstractConfirmation bias has been widely studied for its role in failures of reasoning. Individuals exhibiting confirmation bias fail to engage with information that contradicts their current beliefs, and, as a result, can fail to abandon inaccurate beliefs. But although most investigations of confirmation bias focus on individual learning, human knowledge is typically developed within a social structure. We use network models to show that moderate confirmation bias often improves group learning. However, a downside is that a stronger form of confirmation bias can hurt the knowledge-producing capacity of the community.
Trajectories of spirituality: Producing and assessing cultural evidence at the International Criminal Court
Authors: D'hondt Sigurd , Pérez-León-Acevedo Juan-Pablo , Ferraz de Almeida Fabio , Barrett Elena 
Published: January 2024

Abstract
In this article, we examine the production and assessment of evidence about spirit beliefs in the international criminal trial of Ugandan rebel commander Dominic Ongwen, submitted by the defense to show that their client committed the crimes he is accused of under duress. This duress defense was ultimately rejected by the ICC Judges, based on a binary understanding of ‘believing’ that depicts Ongwen and other LRA commanders as impostors. However, our analysis of how this evidence about Acholi spirituality is entextualized in testimony-taking and recontextualized in the Judgment reveals that this belief-binary is not exclusively the outcome of the Judges’ recontextualization efforts. In fact, the foundations are already established at entextualization stage, in the questioning by the defense. These continuities, we argue, offer a fresh perspective on the notion of text trajectory, redirecting attention to the underlying ‘grammar’ of the legal language game. (International Criminal Court, text trajectory, entextualization, recontextualization, evidence, spirit belief, Dominic Ongwen, Uganda)*
Welfare, egalitarianism, and polarization: the politics of noncontributory social programs
Authors: Svensen Eric Paul 
Published: January 2024

AbstractThis study analyzes the link between egalitarian ideals and the rise in party polarization in Congress. To demonstrate how philosophical differences over conceptions of fairness, equality, and justice help explain the recent growth in partisanship over the past few decades, I argue one overlooked explanatory factor which assists in capturing this ideological rift is noncontributory welfare spending. Recovering annual ideal point estimates between 1947 and 2018 that are comparable with annual federal spending, I use multivariate time series models and find convincing evidence which suggests welfare outlays have a strong short- and long-run effect on polarization. Moreover, analysis of the roll call record also shows when ideal point estimates are recovered by specific policy area, lawmakers exhibit higher levels of ideological separation on welfare compared to, among others, policies such as defense and transportation. Robustness checks confirm these findings also hold even when controlling for income inequality.
Islamic religious behaviors and civic engagement in Europe and North America
Authors: Westfall Aubrey 
Published: January 2024

Abstract
This paper analyzes relationships between Islamic religious behaviors and civic engagement in Europe and North America. Using data from an original survey of Muslims in Canada, France, Germany, the UK, and the United States, it finds that Muslim religious behaviors relate to civic behaviors in varied ways. The conventional distinction between public and private religious behaviors does not graft perfectly on to Islamic religious behaviors, but the way Islamic religious behaviors straddle the public-private divide help explain their relationships with civic behaviors. Mosque attendance, an example of public religious behavior, is positively associated with secular organizational membership and mainstream political behaviors, and negatively associated with protest activity. Private, or quasi-private, religious behaviors are more commonly associated with protest activities. There are some national-level differences in patterns of civic engagement after controlling for other determinants, but not many, suggesting similar mechanisms mobilize and facilitate Muslim civic incorporation across national contexts. The results suggest that Islamic religious behaviors create diverse opportunities for Muslims to engage as civic citizens.
Adaptations in wild radish (Raphanus raphanistrum) flowering time, Part 1: Individual-based modeling of a polygenic trait
Authors: Somerville Gayle J. , Ashworth Michael B. , Beckie Hugh J. 
Published: January 2024

AbstractThis study investigated replicating six generations of glasshouse-based flowering date selection in wild radish (Raphanus raphanistrum L.) using an adaptation of the population model SOMER (Spatial Orientated Modelling of Evolutionary Resistance). This individual-based model was chosen because it could be altered to contain varying numbers of genes, along with varying levels of environmental influence on the phenotype (namely the heritability). Accurate replication of six generations of genetic change that had occurred in a previous glasshouse-based selection was achieved, without intermediate adjustments. This study found that multiple copies of just two genes were required to reproduce the polygenic flowering time adaptations demonstrated in that previous research. The model included major effect type M1 genes, with linkage and crossing over, and minor effect type M2 genes undergoing independent assortment. Within the model, transmissibility (heritability of each gene type) was parameterized at 0.60 for the M1 genes and 0.45 for the M2 genes. The serviceable parameterization of the genetics of flowering in R. raphanistrum within a population model means that simulated examinations of the effects of external weed control on flowering time adaptations are now more feasible. An accurate and simplified Mendelian-based model replicating the adaptive shifts of flowering time that is controlled by a complex array of genes is useful in predicting life-cycle adaptations to evade weed control measures such as harvest weed seed control, which apply intense adaptive selections on traits that affect seed retention at harvest, including flowering time.
Oceanic Plateau and Spreading Ridge Subduction Accompanying Arc Reversal in the Solomon Islands
Authors: Taylor B. , Benyshek E. K. 
Published: January 2024

AbstractWe study the collision of the Ontong Java Plateau, reversal of the Solomon Islands arc, and subduction of the Woodlark Basin spreading ridge in the southwest Pacific. Double‐sided subduction and intra‐arc deformation, not just polarity reversal, characterize the rapid Australia‐Pacific plate convergence. The rifted margins of the 0–6.2‐Ma Woodlark Basin separate its unflexed young lithosphere without a trench from the older flexed lithosphere with >8‐km‐deep trenches subducting to either side. A gap evident in the seismicity and tomography between the NE‐subducted slabs of the Solomon Sea and Australia plates indicates that the Woodlark lithosphere likely melts and/or is quickly (<1 m.y.) resorbed into the mantle. A section of the Pacific Plate remains attached within the gap and provides the slab pull to form the Malaita accretionary prism. Quaternary arc‐composition volcanoes that occur on both sides of the Woodlark Basin subduction front are not sourced from a mantle wedge overlying a Wadati‐Benioff zone, but come from and through breaks in the young incoming and subducting lithosphere and the overturning mantle beneath. Though the basin is too weak to sustain plate flexure, arc volcanoes on the subducting crust result in locally strong coupling to the forearc, manifest by tsunamigenic earthquakes. At 150–400‐km depth, the subducted slabs under the Solomon Islands are near vertical. They are near‐horizontal between the 410 and 660‐km mantle discontinuities beneath the Woodlark Basin and further south, whereas beneath the Solomon Sea Basin they dip southwest and penetrate the 660‐km discontinuity, having been detached by the north‐dipping Solomon Sea slab.
Neurogenesis-independent mechanisms of MRI-detectable hippocampal volume increase following electroconvulsive stimulation
Authors: Abe Yoshifumi , Yokoyama Kiichi , Kato Tomonobu , Yagishita Sho , Tanaka Kenji F. , Takamiya Akihiro 
Published: January 2024

AbstractElectroconvulsive therapy (ECT) is one of the most effective psychiatric treatments but the underlying mechanisms are still unclear. In vivo human magnetic resonance imaging (MRI) studies have consistently reported ECT-induced transient hippocampal volume increases, and an animal model of ECT (electroconvulsive stimulation: ECS) was shown to increase neurogenesis. However, a causal relationship between neurogenesis and MRI-detectable hippocampal volume increases following ECT has not been verified. In this study, mice were randomly allocated into four groups, each undergoing a different number of ECS sessions (e.g., 0, 3, 6, 9). T2-weighted images were acquired using 11.7-tesla MRI. A whole brain voxel-based morphometry analysis was conducted to identify any ECS-induced brain volume changes. Additionally, a histological examination with super-resolution microscopy was conducted to investigate microstructural changes in the brain regions that showed volume changes following ECS. Furthermore, parallel experiments were performed on X-ray-irradiated mice to investigate the causal relationship between neurogenesis and ECS-related volume changes. As a result, we revealed for the first time that ECS induced MRI-detectable, dose-dependent hippocampal volume increase in mice. Furthermore, increased hippocampal volumes following ECS were seen even in mice lacking neurogenesis, suggesting that neurogenesis is not required for the increase. The comprehensive histological analyses identified an increase in excitatory synaptic density in the ventral CA1 as the major contributor to the observed hippocampal volume increase following ECS. Our findings demonstrate that modification of synaptic structures rather than neurogenesis may be the underlying biological mechanism of ECT/ECS-induced hippocampal volume increase.
Zebrafish xenograft as a tool for the study of colorectal cancer: a review
Authors: Fontana Camilla Maria , Van Doan Hien 
Published: January 2024

AbstractColorectal cancer (CRC) is the second leading cause of cancer-related death, mostly due to metastatic disease and the fact that many patients already show signs of metastasis at the time of first diagnosis. Current CRC therapies negatively impact patients’ quality of life and have little to no effect on combating the tumor once the dissemination has started. Danio rerio (zebrafish) is a popular animal model utilized in cancer research. One of its main advantages is the ease of xenograft transplantation due to the fact that zebrafish larvae lack the adaptative immune system, guaranteeing the impossibility of rejection. In this review, we have presented the many works that choose zebrafish xenograft as a tool for the study of CRC, highlighting the methods used as well as the promising new therapeutic molecules that have been identified due to this animal model.
Characterizing influence of rCHOP treatment on diffuse large B-cell lymphoma microenvironment through in vitro microfluidic spheroid model
Authors: Sullivan Matthew R. , White Rachel P. , Dashnamoorthy Ravi  , Kanetkar Ninad , Fridman Ilana Berger , Ekenseair Adam , Evens Andrew M. , Konry Tania 
Published: January 2024

AbstractFor over two decades, Rituximab and CHOP combination treatment (rCHOP) has remained the standard treatment approach for diffuse large B-cell lymphoma (DLBCL). Despite numerous clinical trials exploring treatment alternatives, few options have shown any promise at further improving patient survival and recovery rates. A wave of new therapeutic approaches have recently been in development with the rise of immunotherapy for cancer, however, the cost of clinical trials is prohibitive of testing all promising approaches. Improved methods of early drug screening are essential for expediting the development of the therapeutic approaches most likely to help patients. Microfluidic devices provide a powerful tool for drug testing with enhanced biological relevance, along with multi-parameter data outputs. Here, we describe a hydrogel spheroid-based microfluidic model for screening lymphoma treatments. We utilized primary patient DLBCL cells in combination with NK cells and rCHOP treatment to determine the biological relevance of this approach. We observed cellular viability in response to treatment, rheological properties, and cell surface marker expression levels correlated well with expected in vivo characteristics. In addition, we explored secretory and transcriptomic changes in response to treatment. Our results showed complex changes in phenotype and transcriptomic response to treatment stimuli, including numerous metabolic and immunogenic changes. These findings support this model as an optimal platform for the comparative screening of novel treatments.
A full-body transcription factor expression atlas with completely resolved cell identities in C. elegans
Authors: Li Yongbin , Chen Siyu , Liu Weihong , Zhao Di , Gao Yimeng , Hu Shipeng , Liu Hanyu , Li Yuanyuan , Qu Lei , Liu Xiao 
Published: January 2024

AbstractInvariant cell lineage in C. elegans enables spatiotemporal resolution of transcriptional regulatory mechanisms controlling the fate of each cell. Here, we develop RAPCAT (Robust-point-matching- And Piecewise-affine-based Cell Annotation Tool) to automate cell identity assignment in three-dimensional image stacks of L1 larvae and profile reporter expression of 620 transcription factors in every cell. Transcription factor profile-based clustering analysis defines 80 cell types distinct from conventional phenotypic cell types and identifies three general phenotypic modalities related to these classifications. First, transcription factors are broadly downregulated in quiescent stage Hermaphrodite Specific Neurons, suggesting stage- and cell type-specific variation in transcriptome size. Second, transcription factor expression is more closely associated with morphology than other phenotypic modalities in different pre- and post-differentiation developmental stages. Finally, embryonic cell lineages can be associated with specific transcription factor expression patterns and functions that persist throughout postembryonic life. This study presents a comprehensive transcription factor atlas for investigation of intra-cell type heterogeneity.