Author Identification Research Articles

Publications Among Pain Medicine Fellowship-Trained American Board of Anesthesiology Diplomates.

American Board of Anesthesiology (ABA) diplomates who pursue clinical fellowship training in pain medicine may be better suited to lead scholarly projects and serve as first authors of publications in peer-reviewed journals given their additional training and clinical expertise. The primary aim of this study was to determine whether ABA certification in pain medicine is associated with a greater number of peer-reviewed publications. The secondary aim included assessments of whether pain medicine fellowship training is associated with a higher publication rate (publications per year) or publication in a larger number of peer-reviewed journals. A literature search was conducted in December 2023 using the Scopus database for publications related to anesthesiology and pain medicine in the United States between 2013 and 2023. First authors identified through the search were then individually searched within the ABA physician directory. The following data were collected: author name and identification number, year of publication, publication type (article or review), year of primary anesthesiology certification, and year of fellowship, if applicable. This study identified 9,612 publications and 6,924 unique first authors. Pain medicine fellowship training was associated with a statistically significant increase (p-value < 0.001) in the number of publications (0.546; 95% confidence interval {CI}, 0.386-0.707), publications per year (0.140; 95% CI, 0.121-0.159), and publication in a larger number of peer-reviewed journals (0.256; 95% CI, 0.182-0.330) in regression models adjusted for the number of years from certification. This query of the Scopus database and ABA physician directory indicates that pain medicine fellowship training is associated with statistically significant increases in research productivity, as defined by the number of publications, publications per year, or the number of publications in peer-reviewed journals. However, these increases in research output would not lead to a marked increase inscholarship productivity to justify pursuing a fellowship for this purpose.

Topical Issues of Application of Quantitative Methods in the Forensic Authorship Studies

In the conditions of modern challenges of digitalization, the problems of using stylometry for the successful solution of the tasks of forensic authorship expertise of speech works posted on the Internet are considered. Based on a comparative analysis of existing techniques and new developments in the field of automation of determining the personal parameters of an anonymous author, his idiolect and stylometric identification, it is proposed to replace the uncertain, taking into account the features of new objects. The solution to the problems is seen not in the full automation of the expert examination, but in the creation of an integrative methodology of forensic authorship examination, combining qualitative and quantitative methods of identifying diagnostically and identifiably significant signs.

Exploring the Interplay between Writing Practices and Identity Formation in Academic Contexts

In academic settings, the relationship between writing practices and identity formation is a cornerstone of scholarly inquiry. As individuals engage in writing, they convey information and construct and negotiate their identities within disciplinary, cultural, and linguistic frameworks. This review paper provides a comprehensive synthesis of existing scholarship on the intricate relationship between writing practices and identity formation in academic contexts. Drawing upon a systematic analysis of 30 studies, the paper illuminates the complex interplay between language, culture, and academic discourse in shaping authorial identities. Key themes explored include conceptualizing writing as an act of identity construction, the challenges faced by distinct student populations in establishing authorial voices, disciplinary variations in identity formation, and pedagogical implications for academic writing instruction. The review integrates diverse theoretical frameworks, such as sociocultural perspectives, academic literacy approaches, and integrationist models, offering a nuanced understanding of the mechanisms underlying identity construction through writing. Furthermore, this review also identifies gaps and potential avenues for future research, including the need for longitudinal studies, the exploration of individual agency in identity formation, and the examination of emerging technologies and interdisciplinary collaborations. Ultimately, this synthesis adds to ongoing conversations about how writing practices affect identity formation. It does this by informing teaching methods and institutional policies that support positive identity development among diverse academic communities.

Crossing Linguistic Barriers: Authorship Attribution in Sinhala Texts

Authorship attribution involves determining the original author of an anonymous text from a pool of potential authors. The author attribution task has applications in several domains, such as plagiarism detection, digital text forensics, and information retrieval. While these applications extend beyond any single language, existing research has predominantly centered on English, posing challenges for application in languages such as Sinhala due to linguistic disparities and a lack of language processing tools. We present the first comprehensive study on cross-topic authorship attribution for Sinhala texts and propose a solution that can effectively perform the authorship attribution task even if the topics within the test and training samples differ. Our solution consists of three main parts: (i) extraction of topic-independent stylometric features, (ii) generation of a small candidate author set with the help of similarity search, and (iii) identification of the true author. Several experimental studies were carried out to demonstrate that the proposed solution can effectively handle real-world scenarios involving a large number of candidate authors and a limited number of text samples for each candidate author.

Miike Takashi’s Crows Zero and adaptive authorship revisited

Abstract This article contributes to the scholarship on Japanese director Miike Takashi, who has gained increasing international recognition over the past two decades. Through a case study of Miike’s manga-inspired live-action film, Crows Zero (2007), I delve into specific aspects of the film’s settings, especially poetry and linguistic sings, to explore authorship from a comparative perspective and its manifestation in transmedia adaptation. This analysis draws upon Thomas Leitch’s concept of adaptive authorship and rethinks the historical dichotomy between the auteur and the metteur-en-scène, as originally delineated by François Truffaut. By arguing that Miike’s role in the film is neither a mere adapter lacking creativity nor a consistent artist, and by highlighting instances of directorial authorship in the film’s nuanced details, I question the tendency in film studies that adaptive authorship is often overshadowed by, and eventually integrated into, auteurship to the point where it can only be examined within broader auteurist analyses. Thus, this case study underscores the advantages of an adapter-based approach over an auteurist one, suggesting that moving beyond the doctrines of consistency and coherence may facilitate the identification of authorship from different perspectives.

Bibliometric analysis and evaluation of publications on non-Helicobacter pylori helicobacters from 1993 to 2023.

Aim: A bibliometric analysis and evaluation of research on non-Helicobacter pylori Helicobacter species (NHPHs) is essential to determining future research directions. Materials & methods: A comprehensive search was carried out using predetermined search terms within the Web of Science Core Collection (WoSCC) to gather publications spanning from 1993 to 2023. VOSviewer and Citespace were employed for data analysis and visualization. Results: 308 publications on NHPHs were included. Among these, gastric NHPHs received more publications and attention compared with enterohepatic NHPHs. Key findings included the identification of most productive countries, institutions, journals, authors, keywords, research trends and notable perspectives in the field. Conclusion: The article guides further research and clinical applications on NHPHs.

Contextually Propagated Term Weight based Approach for Author Profiling: Gender, Age and Language Variety Prediction

Author profiling creates characterization of an author based on attributes such as age, gender, language, dialect region variety, personality and so on. In recent years it has garnered significant attention for its varies applications across forensic linguistics, marketing, cybersecurity and social media analytics. Most of the research focused on stylistic, content based and term weight measures based feature representations. We observed that context semantics is not considered in the feature representation. In this propose contextually propagated term weight measures for feature representation. We implemented SVM, Random Forest and XG Boost machine learning algorithms on those feature representations. The results demonstrated that the proposed contextually propagated term weight with inverse category frequency outperformed the existing methods.

Evaluating Transformers and Linguistic Features integration for Author Profiling tasks in Spanish

Author profiling consists of extracting their demographic and psychographic information by examining their writings. This information can then be used to improve the reader experience and to detect bots or propagators of hoaxes and/or hate speech. Therefore, author profiling can be applied to build more robust and efficient Knowledge-Based Systems for tasks such as content moderation, user profiling, and information retrieval. Author profiling is typically performed automatically as a document classification task. Recently, language models based on transformers have also proven to be quite effective in this task. However, the size and heterogeneity of novel language models, makes it necessary to evaluate them in context. The contributions we make in this paper are four-fold: First, we evaluate which language models are best suited to perform author profiling in Spanish. These experiments include basic, distilled, and multilingual models. Second, we evaluate how feature integration can improve performance for this task. We evaluate two distinct strategies: knowledge integration and ensemble learning. Third, we evaluate the ability of linguistic features to improve the interpretability of the results. Fourth, we evaluate the performance of each language model in terms of memory, training, and inference times. Our results indicate that the use of lightweight models can indeed achieve similar performance to heavy models and that multilingual models are actually less effective than models trained with one language. Finally, we confirm that the best models and strategies for integrating features ultimately depend on the context of the task.

Financial Education: Bibliometic Analysis from 1989 to 2023

This study applies a comprehensive bibliometric analysis to financial education research published between 1989 and 2023 with the aim of exploring trends, patterns, and key themes in the field. By collecting data from various Scopus databases, totaling 280 documents, the analysis involves the distribution of publications, identification of influential articles and authors, and exploration of citation and co-occurrence relationships. Visualizing the results using mapping techniques helps depict the structure and dynamics of financial education research during the specified period. Key findings include limited collaboration among authors, uneven contributions across countries, and the emergence of various subfields in the literature. The research implications encompass the necessity for increased collaboration among researchers to address collaboration gaps, providing in-depth insights into the global distribution of research contributions, and offering insights for future research and policy in financial education.

The River In Senganan Village As A Source Of Ideas For The Creation Of Paintings

This Independent Study TA thesis has the theme "Rivers In The Village Senganan As A Source (De Creating Works Of Painting"), departs from an idea about the river as a source of life for the community in Senganan village. From this, it gives rise to the urge to present natural visualizations with beautiful forms by combining certain techniques and references to achieve the goal and the desired meaning. The problem faced is how to process visuals to represent ideas. ideas, so that changes to the work look interesting. The tuivan and its benefits are to provide a new reflection for the community to better protect and preserve the river in Senganan village. To answer what is the aim of this work, the creation method involves exploration, improvisation and formation. By compiling elements of fine art, and through exploration, improvisation, and formation stages, and combined with ideas and ideas, 6 works were created entitled: 1) "Natural Water", 2) "Waterfall in the Forest", 5) "To river towards one point", 4) "Mysterious stone", 5) "Destruction of the river", 6) "The power of water". In accelerating the work, the author will use several references and techniques from artists. By combining impressionist techniques and expressionist techniques using paint acrylic, in visualizing works that embody the beautiful nature of rivers up to the pollution of these rivers as time goes by, various techniques are combined neatly to create aesthetic works, it is hoped that they can produce quality works and become the author's identity. In the end, it can be concluded that humans are very dependent on nature, and we must trade with nature to be sustainable. The river in Senganan village provides a lot of inspiration for creative work and is very interesting to use and develop with imaginative ideas that will become valuable and meaningful works. By creating this work, the author hopes to be able to convey a message or meaning regarding the personal phenomena that the author has experienced.

Identity in Academic Writing Established by Indonesian vs Non-Indonesian Writers

Academic writing in the form of international journal articles is primarily read and used as references for many academic communities. Since the writers of an international journal are from different backgrounds and countries, their works have some differences in terms of writing styles. How the writers show authorial identity and authority through the texts is one of the aspects that causes the differences. This study investigates how Indonesian and non-Indonesian writers established their identities in academic writing. This study used the descriptive qualitative research method. Hyland’s (2005b) stances theory (hedges, boosters, attitude makers, and self-mentions) was applied as the research approach with the help of the AntConc corpus toolkit to analyze the data that were collected from an international journal. The results and discussion show similarities and differences regarding Hyland’s stances in journal articles written by Indonesian and non-Indonesian writers. The results and discussion reveal both similarities and differences in how Indonesian and non-Indonesian writers convey authorial identity and authority through their texts.

Renegotiating Jia Zhangke’s Contestious Auteurism on Douban

Abstract This article focuses on sixth-generation mainland Chinese auteur Jia Zhangke and examines how his independent filmmaker’s profile is renegotiated and reevaluated on Douban, a China-based platform for cultural commentary. Whereas Douban allows viewers to rate a film, post a review of any length, and comment on other posts, it manifests a self-censoring tendency with sustained state control. Examining in Jia’s contentious auteurism through a “post-independent’ lens, this article recounts how Douban users approach and interpret Jia’s more recent titles such as Ash Is Purest White (2018) and Swimming Out till the Sea Turns Blue (2020) that pose a question of whether Jia’s auteurism is perpetuated. The account extends to the controversies surrounding Jia’s departure from and re-entry to the independently-run, government-supported Pingyao International Film Festival, which took place in 2020 and 2021 and have further perplexed his established brand. Contextualizing Jia’s Douban-represented authorial identity in China’s platform-based cultural production, this analysis unravels the intricate dynamics of market logic, state governance, and audience agency in the rise of the mass media-saturated intertextuality and crossover capitals.

Reconstructive Classification for Age and Gender Identification in Social Networks

Author profiling is a challenging task that consists of identifying a person’s relevant attributes based on the content he/she generates. In this article, we validate a classification method based on the reconstructive classification to identify two demographic attributes, age and gender, for users of social networks based on the text content they publish. For the problem, we consider balanced and unbalanced data, where a gender or age group has a larger presence than the others. The proposed method is based on using the reconstructive property of singular value decomposition (SVD), and its suitability to work with sparse data, to find a matrix with the main latent components to represent the information of specific gender or age classes. Afterward, we use such a matrix to project and reconstruct new users’ information to identify their demographic variables. We test our method with a set of datasets in several languages collected from Twitter and Pinterest users, and we use different evaluation metrics to compare their performance with the ones of several popular classifiers based on traditional machine learning, and on deep learning, and with some relevant works in the literature. The results show that the proposed classifier performs generally well in identifying the age and gender of users in social networks.

Genre-Based Instruction and Iranian EFL Learners’ Argumentative Essay writing: Performance, Structure, Perceptions, and Authorial Identity in Focus

Genre-Based Instruction and Iranian EFL Learners’ Argumentative Essay writing: Performance, Structure, Perceptions, and Authorial Identity in Focus

PROBLEMS OF BIBLIOGRAPHICAL MANAGERS FOR SCIENCE AUTOMATIZATION: APPROACH TO SOLVE AND ONTOLOGICAL VEIWPOINT

This paper explores the functionalities and limitations of major reference manager systems, focusing on their role in solving the author identification problem in academic research. It critically analyzes the features of popular reference managers like Zotero, EndNote, Mendeley, SciWheel, and Paperpile, assessing their capabilities in reference management and their approaches to author identification. The study reveals that while these systems offer robust reference management functionalities, including citation generation, bibliography management, and collaborative tools, they fall short in integrating advanced author identification mechanisms, such as ORCID. The lack of such features highlights a significant gap in current reference management solutions, impacting the accuracy and efficiency of scholarly communication. The paper emphasizes the need for enhanced features in reference managers to address author identification challenges effectively, particularly in the context of Open Science and FAIR data management principles. This study contributes to the understanding of current limitations in reference managers and underscores the importance of developing advanced features for accurate author attribution in the digital era of academic research. It focuses on using additional integrational data about the authors by using ORCID as the main identifier. This solution is crucial for countries with non-Latin alphabet, including Cyrillic.

An innovative framework for supporting content-based authorship identification and analysis in social media networks

Abstract Content-based authorship identification is an emerging research problem in online social media networks, due to a wide collection of issues ranging from security to privacy preservation, from radicalization to defamation detection, and so forth. Indeed, this research has attracted a relevant amount of attention from the research community during the past years. The general problem becomes harder when we consider the additional constraint of identifying the same false profile over different social media networks, under obvious considerations. Inspired by this emerging research challenge, in this paper we propose and experimentally assess an innovative framework for supporting content-based authorship identification and analysis in social media networks.

Reflections on Co-Creativity in Early Modern Drama

Abstract While co-authorship was common practice in early modern drama, poetological treatises remain silent about it. They speak about the poet but not about collaboration. It is, hence, one of the aims of this article to arrive at conceptualisations of co-authorship through immanent reflections of co-creativity and authorial interaction. In particular, we will show that stylistic practices form an essential part of such reflections, which also helps us dissociate style from the identification of individual authorship. Shakespeare's Romeo and Juliet and Beaumont and Fletcher's Philaster, or Love Lies A-Bleeding have been chosen to show how juxtapositions and adaptations of style in both single-authored and co-authored works reveal practices of collaboration in early modern theatre. As a result of our investigation, elements of a poetics of collaborative playwriting will emerge.

Retraction: Earth System Model Analysis of How Astronomical Forcing Is Imprinted Onto the Marine Geological Record: The Role of the Inorganic (Carbonate) Carbon Cycle and Feedbacks

RetractionVervoort, P., Kirtland Turner, S., Rochholz, F., and Ridgwell, A. (2021). Earth system model analysis of how astronomical forcing is imprinted onto the marine geological record: The role of the inorganic (carbonate) carbon cycle and feedbacks, Paleoceanography and Paleoclimatology, 36, e2020PA004090. https://doi.org/10.1029/2020PA004090. The above article, published online on 17 September 2021, in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors; the journal Editor‐in‐Chief, Matthew Huber; the American Geophysical Union; and Wiley Periodicals LLC. The retraction has been agreed upon following the authors identification of an error in the insolation code, based on a previously unknown error in the legacy code inherited from a widely used family of climate models, which resulted in a mistake in the orbital calculation affecting the conclusions of their work. The authors have also notified the maintainers of the underlying code.The authors have revised the above article after correcting the errors in the insolation code and re‐running the simulations. A description of the corrections to the code and detailed evaluation of the resulting insolation maps can be found in the republished article and its revised supporting information. This includes a comparison between the original and corrected daily and annual mean insolation, and those calculated from the online tool provided in Laskar et al. (2004). Because the calculated insolation is integral to the main results and interpretation of the simulations in this study, and because the erroneous insolation code may have been used in other studies, a retraction and new publication was the mutual agreement.The new manuscript reflecting the corrected information is now republished here: https://doi.org/10.1029/2023PA004826.

«Роман-миф» Г. Свифта: генезис и рецепция мифологии Фенов

The aim of the proposed research is to identify the reasons for the emergence of Fenland mythology, which defines the cognitive thinking and life cycle of characters in the novel "Waterland" by G. Swift. The article raises the question of the subjective perception of Fenland myth, which may vary depending on the individual. The author offers the following typology of myth recipients for consideration: the first type of people turns stories into gossip, the second transforms the "magical land" for practical purposes, and the third secularizes the religious beliefs of the Fens. The reason why the main character, the teacher Tom Crick, rejects mythological thinking in his youth but later explains to his students the peculiarities and unwritten rules of Fenian mythology, is explained. The scientific novelty lies in the author's identification, based on the work "Waterland," of the patterns of the relationship between Fenian mythology and the "grand history" of the world; the nuances of the influence of mythology on history and vice versa are explained; the historical root causes of the emergence of tales and gossip are revealed. The results of the study show that, firstly, legends arise in the consciousness of Fens during contemplation of the emptiness of the "flat Fens"; secondly, subjective perception of the myth depends on a person's connection to historical reality; thirdly, teacher Crick mentally returns to the beginning of his life (to the myths) to try to rid his students of the horror of the "end of history."

Backtranslate what you are saying and I will tell who you are

AbstractWith this work, we hypothesize that semantically enriching a user's text corpus using backtranslation and expansion modules can improve performance for author profiling tasks. To perform this textual enrichment, we translate an author's representative text. Translations are made from one language—the source language—into another—the target language—and then back to the original one. Finally, we expand an author's text by integrating the original version with the back‐translated one. Our framework includes these backtranslation and expansion modules followed by a SOTA classifier successfully employed for text classification. The framework is tested on three author profiling datasets from the last three years’ shared tasks on fake news, hate speech, irony and stereotypes detection hosted at the CLEF conference for the PAN Lab. This work is an extension of our previous one where we just presented our main idea. Here we improve our framework, and we also investigate more languages and more datasets. Finally, a qualitative analysis is provided. The results confirm that the backtranslation and expansion add‐on modules improve model performance on all three datasets evaluated.