bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data augmentation and transfer learning for cross-lingual Named Entity Recognition in the biomedical domain
Authors: Lancheros Brayan Stiven , Corpas Pastor Gloria , Mitkov Ruslan 
Published: May 2024

AbstractGiven the increase in production of data for the biomedical field and the unstoppable growth of the internet, the need for Information Extraction (IE) techniques has skyrocketed. Named Entity Recognition (NER) is one of such IE tasks useful for professionals in different areas. There are several settings where biomedical NER is needed, for instance, extraction and analysis of biomedical literature, relation extraction, organisation of biomedical documents, and knowledge-base completion. However, the computational treatment of entities in the biomedical domain has faced a number of challenges including its high cost of annotation, ambiguity, and lack of biomedical NER datasets in languages other than English. These difficulties have hampered data development, affecting both the domain itself and its multilingual coverage. The purpose of this study is to overcome the scarcity of biomedical data for NER in Spanish, for which only two datasets exist, by developing a robust bilingual NER model. Inspired by back-translation, this paper leverages the progress in Neural Machine Translation (NMT) to create a synthetic version of the Colorado Richly Annotated Full-Text (CRAFT) dataset in Spanish. Additionally, a new CRAFT dataset is constructed by replacing 20% of the entities in the original dataset generating a new augmented dataset. We evaluate two training methods: concatenation of datasets and continuous training to assess the transfer learning capabilities of transformers using the newly obtained datasets. The best performing NER system in the development set achieved an F-1 score of 86.39%. The novel methodology proposed in this paper presents the first bilingual NER system and it has the potential to improve applications across under-resourced languages.
Attentional bias to uncertainty-based information: a conceptual replication of Fergus et al. (2013)
Authors: Morriss Jayne , Lee Charlotte E. , Wood Antony , Zhang Jin , Seabrooke Tina 
Published: May 2024

AbstractAttentional biases to negative information are often observed in emotional disorders such as anxiety and depression. Recently, Fergus et al. (Cognitive Therapy and Research 37:735-741, 2013) demonstrated that participants scoring high in Intolerance of Uncertainty (IU), a transdiagnostic risk factor for emotional disorders, were faster at identifying targets with uncertainty-based information (e.g., word stimuli such as ‘maybe’), relative to neutral information (e.g. word stimuli related to household items). Moreover, this effect was specific to IU over other anxious traits such as worry. This report aimed to conceptually replicate the results of Fergus et al. (Cognitive Therapy and Research 37:735-741, 2013). The current experiment was conducted with a student sample (n = 126). As in the original study, a visual search task with uncertainty-based and neutral information (e.g., word stimuli) was used. Reaction times were collected. IU and trait anxiety was measured via self-report. We partially replicated the results of Fergus et al. (Cognitive Therapy and Research 37:735-741, 2013). We found that higher IU was significantly associated with faster identification of uncertainty-based information, relative to neutral information. However, we also observed a similar pattern of results for trait anxiety. Additionally, we observed no specificity of IU or trait anxiety in predicting faster identification of uncertainty-based information, relative to neutral information. Despite the lack of specificity of IU or trait anxiety in predicting attentional bias to uncertainty-based information, these findings highlight that negative emotionality may be generally associated with attentional biases to uncertainty-based information in the absence of direct threat.
On some pre-orders and partial orders of linear operators on infinite dimensional vector spaces
Authors: Alonso Diego Alba 
Published: May 2024

AbstractThis article is devoted to the generalization of the Drazin pre-order and the G-Drazin partial order to Core-Nilpotent endomorphisms over arbitrary k-vector spaces, namely, infinite dimensional ones. The main properties of this orders are described, such as their respective characterizations and the relations between these orders and other existing ones, generalizing the existing theory for finite matrices. In order to do so, G-Drazin inverses are also studied in this framework. Also, it includes a generalization of the space pre-order to linear operators over arbitrary k-vector spaces.
A short proof of the Hanlon-Hicks-Lazarev Theorem
Authors: Brown Michael K. , Erman Daniel 
Published: May 2024

Abstract
We give a short new proof of a recent result of Hanlon-Hicks-Lazarev about toric varieties. As in their work, this leads to a proof of a conjecture of Berkesch-Erman-Smith on virtual resolutions and to a resolution of the diagonal in the simplicial case.
Women's Love in Antigone by Sophocles and The Tale of Kiều by Nguyễn Du
Authors: Minh Nguyễn Thị 
Published: May 2024

Abstract
Comparative studies have identified “Antigone's sisters” across the globe, excepting for Southeast Asia. Yet in Vietnam, there exists Kiều, the protagonist in Nguyễn Du's The Tale of Kiều, whose cultural significance is comparable to Antigone. What insights can be gained about feminist political power by comparing Antigone to Kiều? Proposing a shift in focus on Kiều and Antigone's love from the questions of who and why to how, the paper argues that their love shares three fundamental commonalities related to their living conditions, actions, and choices. First, they are women who live a life full of love in worlds where love is forbidden. Secondly, they are women who practice love during dark times. And third, they choose to love in unconventional ways, and in doing so, they engender possibilities, particularly in terms of contemplating the interplay between life, death, and freedom. This analysis demonstrates a multiplicity of women's love and the experiences that possess a transcultural dimension, one that signals a type of harmony in the resistance of war through love. Therefore, Antigone and Kiều represent a different direction of a feminist world-building project—that of constructing a world through love.
Problems of Dating Spread on Radiocarbon Calibration Curve Plateaus: The 1620–1540 BC Example and the Dating of the Therasia Olive Shrub Samples and Thera Volcanic Eruption
Authors: Manning Sturt W 
Published: May 2024

AbstractDetermining calendar ages for radiocarbon dates, or ordered sequences of radiocarbon dates, that intersect with a plateau on the radiocarbon calibration curve can be problematic since, without additional prior constraints, the calendar age ranges determined will tend to spread across the plateau, yielding wide and less than useful calendar age probability densities and age ranges. Where possible, modeling analysis should seek to identify informative priors that act to restrict the otherwise poorly controlled spread of probability across plateaus. Such additional information may be available, among other sources, from the stratigraphy, the context, or the samples themselves. The recent dating of ordered sequences of radiocarbon dates on sections of branches of the same olive (Olea europaea) shrub from Therasia (southern Aegean) associated with the Minoan eruption of the Thera (Santorini) volcano (Pearson et al. 2023), which intersect with the plateau in the radiocarbon calibration curve ca. 1620–1540 BC, offers an example of the problem. A re-analysis adding some plausible informative priors offers a substantially better defined likely dating range and different conclusions. Instead of finding an inconclusive probability range “encompassing the late 17th and entire 16th century BC” followed by arguments for “indications of increased probabilities for a mid-16th century BC date for the eruption,” a re-analysis incorporating appropriate informative priors identifies the likely date range as falling between the late 17th to early 16th centuries BC.
Navigating the British Atlantic in the Eighteenth Century: What the Logbooks Tell Us
Authors: Reid Phillip 
Published: May 2024

AbstractCrossing the North Atlantic was one of the world's most important oceanic voyages by the eighteenth century. By then, ships built and owned in the British North American colonies and, late in the period, the United States were crossing this dangerous and often-fickle ocean in large numbers. The surviving logbooks of such vessels can serve as unique source material for understanding the Atlantic experience for scholars prepared to interpret and exploit them. Recording the Atlantic passages of the small schooner Sultana, the snow George, and the brig Reward in the Global Sea Routes (GSR) database creates a record for future researchers with a broad array of interests, but only after the obstacles to interpretation are overcome, to the extent possible. I will discuss what those obstacles are, laying out the information to be found in these logs, how it is entered and why, and what it has to tell us about the Atlantic and those who used it at the time. I will make the case that what is contained in these sources justifies the acquisition of the technical and historical expertise necessary to use them.Note: the snow rig was popular among mid-size ocean-going Atlantic merchant ships by the mid-eighteenth century. It is similar to the two-masted brig, as opposed to the three-masted ship, but it has a small “try-mast” just behind the main mast (the after mast), on which the mizzen sail was hoisted.
Replication research in the domain of perceived L2 fluency: Approximate and close replications of Kormos and Dénes (2004) and Rossiter (2009)
Authors: Magne Viktoria 
Published: May 2024

Abstract
The primary objective of this paper is to contribute to the advancement of second language (L2) fluency research by outlining a specific proposal for future replication studies. The overarching goal is to assess the generalisability of the original findings of the two influential studies in the area of perceived fluency: Kormos and Dénes (2004) and Rossiter (2009). This objective will be achieved by first introducing the concept of L2 fluency that often conflates two categories: (1) overall language proficiency; (2) temporal features of speech production. The paper then highlights limitations in the current fluency research paradigm emphasising the variability in the methods employed for speech analysis and rating data collection. This diversity makes it somewhat challenging to compare results across various studies. In response to these challenges, the second part of the paper proposes several close and approximate replications of the two studies.
Multi-objective trajectory planning for industrial robots using a hybrid optimization approach
Authors: Chettibi Taha 
Published: May 2024

AbstractIn this paper, a hybrid approach organized in four phases is proposed to solve the multi-objective trajectory planning problem for industrial robots. In the first phase, a transcription of the original problem into a standard multi-objective parametric optimization problem is achieved by adopting an adequate parametrization scheme for the continuous robot configuration variables. Then, in the second phase, a global search is performed using a population-based search metaheuristic in order to build a first approximation of the Pareto front (PF). In the third phase, a local search is applied in the neighborhood of each solution of the PF approximation using a deterministic algorithm in order to generate new solutions. Finally, in the fourth phase, results of the global and local searches are gathered and postprocessed using a multi-objective direct search method to enhance the quality of compromise solutions and to converge toward the true optimal PF. By combining different optimization techniques, we intend not only to improve the overall search mechanism of the optimization strategy but also the resulting hybrid algorithm should keep the robustness of the population-based algorithm while enjoying the theoretical properties of convergence of the deterministic component. Also, the proposed approach is modular and flexible, and it can be implemented in different ways according to the applied techniques in the different phases. In this paper, we illustrate the efficiency of the hybrid framework by considering different techniques available in various numerical optimization libraries which are combined judiciously and tested on various case studies.
A systematic review on the appropriate discounting rates for the economic evaluation of gene therapies: whether a specific approach is justified to tackle the challenges?
Authors: Qiu Tingting , Aballéa Samuel , Pochopień Michal , Toumi Mondher , Dussart Claude , Yan Dan 
Published: May 2024

Abstract

Objectives
Discounting the cost and effect for health intervention is a controversial topic over the last two decades. In particular, the cost-effectiveness of gene therapies is especially sensitive to the discount rate because of the substantial delay between the upfront cost incurred and long-lasing clinical benefits received. This study aims to investigate the influence of employing alternative discount rates on the incremental cost-effectiveness ratio (ICER) of gene therapies.

Methods
A systematic review was conducted to include health economic evaluations of gene therapies that were published until April 2023.

Results
Sensitivity or scenario analysis indicated that discount rate represented one of the most influential factors for the ICERs of gene therapies. Discount rate for cost and benefit was positively correlated with the cost-effectiveness of gene therapies, that is, a lower discount rate significantly improves the ICERs. The alternative discount rate employed in some cases could be powerful to alter the conclusion on whether gene therapies are cost-effective and acceptable for reimbursement.

Conclusions
Although discount rate will have substantial influence on the ICERs of gene therapies, there lacks solid evidence to justify a different discounting rule for gene therapies. However, it is proposed that the discount rate in the reference case should be updated to reflect the real-time preference, which in turn will affect the ICERs and reimbursement of gene therapies more profoundly than conventional therapies.
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN
Authors: Kumar Ashwani , Chhabra Deepak 
Published: May 2024

Abstract
This study aims to develop a multidisciplinary artificial hybrid machine learning (AHML) approach to reduce the scanning time (ST) of the human wrist and improve the accuracy of 3D scanning for anthropometric data collection. A systematic AHML approach was deployed to scan the human wrist distal end optimally using a portable SENSE 2.0 3D scanner. A central composite design (CCD) matrix was developed for three input variables; light intensity (LI = 12–20 W/m2), capture angle (CA = 10°–50°), and scanning distance (SD = 10–20 inches) for executing the experimental runs. For accuracy evaluation, the wrist perimeter on the distal end was checked using CREO Parametric software for wrist perimeter error (WPE). Various AHML tools were developed using: response surface methodology (RSM), multi-objective genetic algorithm RSM, and multi-objective genetic algorithm neural networking (MOGANN). The optimal process parameters recommended by the hybrid tools were experimentally validated for their prediction accuracy. The MOGANN approach combined with the Bayesian regularization algorithm (trainabr) provided the best mutual combination of optimal ST = 20.072 sec and WPE = 0.375 cm corresponding to LI = 12.001 W/m2, CA = 29.428°, and SD = 18.214 inch, with a significant percentage reduction of 55.83% in WPE. Executing 3D scanning of the human wrist over the optimized process parameters predicted by AHML tools will ensure the availability of precise scans for the rapid prototyping of customized orthotic devices in a reliable manner.
Conceptualising language MOOC diversity: The creation of a defined taxonomy through the analysis of course indicators
Authors: Díez-Arcón Paz , Agonács Nikoletta 
Published: May 2024

AbstractLanguage MOOC research has experienced a notable evolution from practice to conceptuality since its emergence as a subdiscipline of computer-assisted language learning. The versatility of the MOOC format for language learning has led to experimental designs that combine linguistic acquisition with other educational activities. This has been considered to be conducive to new ways of understanding how language learning occurs in LMOOCs, although there is no solid classification of LMOOCs subtypes to date based on course design. This study aimed to contribute to the conceptualisation of the field by creating a taxonomy for existing LMOOCs. Grounded theory strategies were adopted, so evidence was systematically collected to develop conceptual categories based on a thorough analysis process of the syllabus and short description of 432 courses. As a result, six LMOOC modalities emerged from the analysis: general language learning LMOOCs, LMOOCs for academic purposes, LMOOCs for professional purposes, LMOOCs focused on a specific language skill development, cultural-oriented LMOOCs, and meta-language learning LMOOCs. This study means a significant contribution to the LMOOC research field inasmuch as it is one of the first empirical-based attempts to broaden the definition of LMOOC.
The rise and fall of armies
Authors: Adams Jonathan J. 
Published: May 2024

Abstract
Over a thousand years, military employment rises, peaks, and then falls. I argue that rising military shares were driven by structural change out of agriculture, and the recent declines are driven by substitution from soldiers toward military goods. I document evidence for this substitution effect and introduce a model of growth and warfare that reproduces the time series patterns of military expenditure and employment. The model also correctly predicts the cross-sectional patterns, and that military employment and expenditure shares are decreasing in income during wars. Finally, I show that faster economic growth can reduce military expenditure in the long run.
Economic resilience and the dynamics of capital stock
Authors: Escribá-Pérez Francisco-Javier , Murgui-García María-José , Ruiz-Tamarit Jose-Ramon 
Published: May 2024

Abstract
The role of capital in measuring resilience is investigated. Focusing on the current short-run and potential long-run growth paths of the economic system, we propose new indexes to separately measure adaptability and resistance to shocks, which are the essence of a system’s resilience. Capital dynamics during the transition and along the balanced growth path are used here instead of employment to represent the evolution of the size and composition of the economy. Our indexes measure adaptability and resistance by comparing the two capital growth rates. They are built by mimicking the average and variance of the difference in growth rates. In this new setting, investment and depreciation flows play an important role in explaining what the partial index of adaptability reveals. The available data on the USA and Spanish capital allow us to empirically compute the indexes and draw conclusions about their ability to resist shocks and absorb their effects. We conclude that the US economy is more adaptable and has a greater capacity to absorb impacts than the Spanish economy, but it is less resistant to disturbances.
Will the SQE's Legal Research Assessment Produce Solicitors Who Can Carry Out Legal Research Effectively?
Authors: Bennett Greg 
Published: May 2024

AbstractWith the Solicitors Qualifying Examination (SQE) having been introduced in 2021 the training of solicitors has changed. But what impact will its legal research assessment have on their ability to do this sort of work? Here Greg Bennett, who works at BPP in London – where in addition to being a law librarian he is also studying the LPC – gives an overview of the situation and outlines his own concerns.
Retained EU Law (Revocation and Reform) Act 2023: a Potted History
Authors: O'Connor Anne , Morris Joanna 
Published: May 2024

AbstractIn this article Anne O'Connor and Joanna Morris of Thomson Reuters set the Retained EU Law (Revocation and Reform) Act 2023 (REUL Act 2023) within its broader historical context, summarise provisions likely to be of interest to the legal information community, and explain how and why the REUL Act 2023 has given rise to legal uncertainty.
KnowAll Matrix: Designed by a UK Legal Librarian to Future-Proof Your Legal Library
Authors: Bailey Penny 
Published: May 2024

AbstractIn an era where efficient information management is crucial, KnowAll Matrix stands out as a transformative tool for legal informational professionals. It was developed by an experienced UK legal library consultant, Penny Bailey, and here Bailey Solutions explains how this innovative platform goes beyond standard library management systems to offer a future-proof solution, revolutionising access to legal knowledge. Utilised by large law firms, barristers' chambers, government libraries, European agencies, a European parliament, and other organisations, KnowAll Matrix supports information staff to proficiently manage all traditional library functions, including cataloguing, subject indexing, classification, circulation, loans, acquisitions, and serials management. Furthermore, it offers essential features for modern electronic resources management. Its user-friendly interface ensures seamless discovery of both print and digital resources in a single search, prioritising user convenience. Over two decades, as the legal and technological landscapes have evolved, so too has the product, with innovative features like multi-hierarchical taxonomies, practice group resources, single sign-on, and contract renewals. This article delves into these new features and their utilisation by clients to make the library and information centre a primary resource for legal professionals seeking information.
Is Body Appreciation a Moderator of Women’s Satisfaction and Distress with the Body Changes that Occur after Breast Cancer Surgery? A One-Year Longitudinal Study
Authors: Marco-Salvador José-Helidoro , Castejón Raven Jessica , Grau Sevilla María Dolores , Ripoll Orts Francisco 
Published: May 2024

Abstract
Women with breast cancer show dissatisfaction with their appearance, a perception of loss of femininity and bodily integrity, and dissatisfaction with the outcome of the surgery. Body Appreciation (BA) is defined as positive attitudes toward one’s body, beyond satisfaction and dissatisfaction with one’s appearance. Although studies about the protective role of BA have increased, to the best of our knowledge, there are no published studies on the association between BA, body dissatisfaction, and distress in participants with breast cancer. The aims of this study are: (a) To analyze whether BA is a moderator of satisfaction with the body from before breast surgery to the one-year follow-up; and (b) to analyze whether BA is a moderator of distress from before breast surgery to the one-year follow-up. The sample consisted of 115 women diagnosed with breast cancer. Several hierarchical regression analyses were conducted. The results indicated that BA moderated the association between the appearance evaluation before the surgery and the appearance evaluation 12 months after the surgery. Although BA was a significative predictor of distress, it was not a moderator of distress from the moment before breast surgery to the one-year follow-up. This study highlights the importance of evaluating the construct of BA in participants with breast cancer using longitudinal designs and developing psychological interventions that focus on increasing BA.