Editorial Process Research Articles

Academic journal website from the user’s perspective

Professional community recommendations on the content of academic journal websites mostly include criteria for indexing in databases, however these recommendations do not consider the authors’ and reviewers’ perspective on the website contents and design. To address this, we analyzed these recommendations through a survey of 198 Russian academic journal authors and reviewers, using a continuous sampling technique. The survey took place in April and May 2024. The questionnaire was based on the Principles of Transparency and Best Practice in Scholarly Publishing by COPE, DOAJ etc. The survey also focused on the journal website content, design, mobile version, and publication strategy of academic journal website users. We analyzed the survey results for two partially overlapping sets of authors who published in journals indexed in the Web of Science Core Collection, Scopus, and Russian Citation Science Index Core, or in journals listed by the Higher Attestation Commission of Russian Federation. The study revealed that both COPE’s recommendations and users of academic websites value information regarding aims and scope of the journal, copyright fees, review policies, timelines for the editorial and publication process, and licensing. However, Russian authors and reviewers put less emphasis on website sections that address ethical principles and authorship criteria. They prioritize having an online editorial office, security certification, scientific journal indexing and abstracting information, additional educational materials, and the ability to customize the website for devices with different screen sizes. We also discuss the importance of HTML meta tags for promoting the journal’s website. The findings of the research may contribute to promotion of Russian academic journals in international databases, improve the efficiency of communication between authors, reviewers and editors, and develop a set of recommendations that complement international publishing conventions.

“Neurohospitalist Core Competencies: Development and Methodology”

Background and Purpose Neurohospitalists specialize in the care of hospitalized patients with neurological conditions. As the neurohospitalist model of patient care has grown rapidly and in diverse ways, there has been increasing demand for a formal definition of the field, particularly to support curriculum development for learners at multiple levels. Methods The Neurohospitalist Society (NHS) formed a Core Competencies Committee in 2021. This committee defined the scope of the Neurohospitalist Core Competencies and organized the competency topics into chapters. This chapter list was approved by the members of the NHS. An open invitation was made to the general membership of the NHS to write chapters on a first-come, first-served basis, using a standardized chapter template developed by the Committee. A three-step editing process was completed, with members of the Committee serving as editors. A dissemination strategy was designed, including drafting of 2 manuscripts (the Core Competencies themselves, and this accompanying manuscript) and outreach to the general membership of the NHS. Results The Neurohospitalist Core Competencies include 27 chapters divided into 3 sections: neurological conditions; clinical interventions and interpretations of ancillary studies; and neurohospitalist role in the health care system. The complete version of the Neurohospitalist Core Competencies is published as a separate manuscript in this issue of The Neurohospitalist. Conclusions The creation of the Neurohospitalist Core Competencies was a multi-year initiative intended to support practicing neurohospitalists, trainees interested in pursuing careers in the field, medical education leaders, and administrative leaders of hospitals and departments.

Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers

Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data. The threshold for a data value to be an outlier is typically defined by the user. However, a subjective choice of the threshold increases the uncertainty associated with outlier status for each data value. A cellwise outlier detection algorithm named FuzzyHRT is used to automate the editing process in repeated surveys. This algorithm uses Bienaymé–Chebyshev’s inequality and fuzzy logic to detect four different types of outliers resulting from format inconsistencies, historical, tail, and relational anomalies. However, fuzzy logic is not suited for probabilistic reasoning behind the identification of anomalous cells. Bayesian methods are well suited for quantifying the uncertainty associated with the identification of outliers. Although, as suggested by the literature, there exist well-developed Bayesian methods for record-level outlier detection, Bayesian methods for identifying outliers within individual records (i.e., at the cell level) remain unexplored. This paper presents two approaches from the Bayesian perspective to study the uncertainty associated with identifying outliers. A Bayesian bootstrap approach is explored to study the uncertainty associated with the output scores from the FuzzyHRT algorithm. Empirical likelihoods in a Bayesian setting are also considered for probabilistic reasoning behind the identification of anomalous cells. NASS survey data for livestock and major crop yield (such as corn) are considered for comparing the performances of the two proposed approaches with recent cellwise outlier methods.

Pedagogical Approaches in Music and Audio Education for Deaf and Hard-of-Hearing Students

Learning about music, sound or audio can present significant challenges for individuals who are deaf and hard of hearing (DHH). Given the advancements in technology and the increasing emphasis on equality, diversity and inclusion (EDI) in education, this article proposes pedagogical approaches aimed at facilitating the learning process for DHH students in the areas of music and audio production. These approaches encompass sound visualisation, haptic feedback, automated transcription, tactics in non-linear editing and digital signal processing. Importantly, these approaches do not necessitate advanced technical skills or substantial additional resources, thus lowering barriers for DHH students to overcome challenges in music and audio production. Furthermore, these strategies would enable content creation and editing for individuals with DHH, who may have previously been excluded from participating in music and audio production. Recommendations are provided for the implementation of these approaches in diverse educational settings to promote the integration of EDI in music and audio education.

‘Texting Scarlatti’: unlocking a standard edition with a digital toolkit

Editing musical texts requires a great deal of artistic, intellectual and commercial investment but, once published, an edition tends to become inert, a form of musical still life. ‘Texting Scarlatti’ explores ways of unlocking the value of a standard edition using a variety of digital tools. For as long as the editorial process in music begins and ends with analogue graphical notation, a digital music edition will inevitably be hybrid to some extent. But our project examines each stage in that process from input to output, showing how scholarly insight, performance-based musicology, data science, HCI-inspired crowdsourcing techniques and information systems can together form the basis of an open, rich digital edition for future development. Key outputs will be an extremely large machine-readable dataset consisting of more than 310,000 bars of music, together with structured, searchable apparatus for each of the 555 sonatas in the Scarlatti canon. Musicology has been a notable absentee from recent developments in artificial intelligence and machine learning (AIML) and there is a great deal of catching-up to do. In our conclusion, we urge more scholars and publishers to make similarly large, and largely hidden, datasets more openly available for machine learning and suggest some practical steps to facilitate this.

Measuring the Prevalence of Earnings Manipulations: A Novel Approach

ABSTRACTWe provide prevalence estimates for five forms of earnings manipulation based on executives’ reports about their firms’ actual reporting practices. After preregistering our methods and analyses via the Journal of Accounting Research’s registration‐based editorial process, we recruit nearly a thousand executives from firms listed in the Russell 3000 Index to participate in either a survey or a list experiment; the hallmark of the latter being additional privacy protections designed to promote honest disclosure about self‐incriminating information. In our survey, 26.8% of executives disclose at least one form of earnings manipulation at their firm in the 2018–2023 period: 18.0% report changing an operational activity to meet a near‐term earnings target at the expense of long‐term value (i.e., real earnings management), 8.8% report intentionally obfuscating unfavorable information, 6.6% report manipulating accruals, 3.9% report withholding material information, and 0.0% report accounting fraud. Our list experiment produces an economically higher result in two cases, estimating that 29.9% of firms engaged in real earnings management and 12.4% committed accounting fraud over the same time period. We conclude that while a traditional survey can provide credible lower‐bound estimates for the prevalence of many forms of earnings manipulation, list experiments encourage more honest disclosure in some cases.

An undergraduate research experience in CRISPR-Cas9 mediated eukaryotic genome editing to teach fundamental biochemistry techniques.

CRISPR-Cas9 technology is an established, powerful tool for genome editing through the ability to target specific DNA sequences of interest for introduction of desired genetic modifications. CRISPR-Cas9 is utilized for a variety of purposes, ranging from a research molecular biology tool to treatment for human diseases. Due to its prominence across a variety of applications, it is critical that undergraduates in the life sciences are educated on CRISPR-Cas9 technology. To this end, we created an intensive eight-week long course-based undergraduate research experience (CURE) designed for students to understand CRISPR-Cas9 genome editing and perform it in Saccharomyces cerevisiae. Students enrolled in the CURE participate in 2, 3-h sessions a week and are engaged in the entire process of CRISPR-Cas9 genome editing, from preparation of genome editing reagents to characterization of mutant yeast strains. During the process, students master fundamental techniques in the life sciences, including sterile technique, Polymerase Chain Reaction (PCR), primer design, sequencing requirements, and data analysis. The course is developed with flexibility in the schedule for repetition of techniques in the event of a failed experiment, providing an authentic research experience for the students. Additionally, we have developed the course to be easily modified for the editing of any yeast gene, offering the potential to expand the course in research-driven classroom or laboratory settings.

Assembly and comparative analysis of the complete mitochondrial genome of tea-scented China rose

Plant mitochondrial (mt) genomes enable better understanding of cellular processes and phylogenetic relationships. Tea-scented China rose ‘Hume's Blush Tea-scented China’ is the ancestor of the modern hybrid tea rose and has had an important and lasting influence on the breeding of the modern horticultural rose, but a comprehensive description of its mt genome is not yet available. In this study, mature leaves were used to determine the sequence of the rose mt genome. The mt genome of ‘Hume's Blush Tea-scented China’ is a circular sequence 277 730 bp in length and includes 30 protein-coding genes, 19 tRNA genes, and 3 rRNA genes. We analyzed repeat sequences, codon preferences, and RNA editing processes. In addition, we detected the transfer of 25 chloroplast genes to the mt genome, indicating intracellular genes transferred frequently from chloroplasts to mitochondria in ‘Hume's Blush Tea-scented China’. The phylogenetic analysis of the ‘Hume's Blush Tea-scented China’ mt genome and those of 26 other plant groups reflects its taxonomic status. The Ka/Ks of most genes was less than 1, indicating that most coding genes underwent negative selection, while pi was greater than 0.01, confirming highly diverse genetic variation. This work lays a foundation for future investigation of genetic variation in ‘Hume's Blush Tea-scented China’.

Analyzing the relationship between processing speed impairment and Rey-15 item test performance

ABSTRACT Objective This study investigated the relationship between processing speed impairment severity and performance on the Rey 15-Item Test (RFIT) and RFIT + Recognition. Method Cross-sectional data from 285 examinees (228 valid/57 invalid) referred for neuropsychological assessment who were administered the RFIT, Weschler Adult Intelligence Scale-Fourth Edition (WAIS-IV) Processing Speed Index (PSI), Brief Visuospatial Memory Test – Revised, Rey Auditory Verbal Learning Test, and three independent criterion PVTs were included. PSI bands were operationalized as Intact (≥85SS; n = 163), Reduced/Possibly Impaired (77-84SS; n = 36), or Impaired (≤76 SS; n = 29). Receiver operator characteristic (ROC) curve analyses tested the RFIT and RFIT + Recognition’s classification accuracy for detecting invalid performance for the overall sample and by PSI impairment status. Results Those with intact processing speed performed significantly better on the RFIT and RFIT + Recognition than those with reduced/possibly impaired and impaired processing speed. Though verbal/visual memory predicted RFIT scores independently, PSI contributed additional variance. ROC curves for RFIT and RFIT + Recognition were significant (AUC=.64-.84). Optimal cut-scores yielded modest sensitivity (30%-63%) and high specificity (89%-93%) among those with intact and reduced processing speed but yielded unacceptable accuracy in those with impaired speed (AUC=.59-.62). Conclusions Although the RFIT and RFIT + Recognition demonstrated acceptable classification accuracy in those with intact processing speed, accuracy diminished with increasing speed impairment. This finding was more pronounced for RFIT + Recognition compared to the traditional RFIT. As such, the RFIT may have limited clinical utility in examinees with more significant processing speed deficits.

Sources and development of the Kalevala as an example for the quantitative analysis of literary editions and sources

This paper describes ongoing work to quantitatively analyse the development of the Finnish national epic Kalevala. The analysis targets both the oral poetry sources used and the development of the final edition through multiple preparatory publications and manuscripts. In terms of methodological development, the paper relates to prior research on how to visualise relations between texts. However, the particular nature of oral poetry and the editing process at play here precludes using the established methods directly, leading instead to the development of complementary approaches.

Indigenous Voices in the Knowledge Production

In Brazil, in recent years, we have observed an increase in the access of indigenous people in Higher Education and Postgraduate Studies. They demand recognition as producers of scientific knowledge, overcoming the colonial paradigms that objectify them in the production of knowledge. However, in the case of Public Health, persists a very low visibility of indigenous participation in academia. This experience report presents the project “Indigenous Voices in the Production of Knowledge”, carried out through a partnership between a collective of indigenous researchers from different regions of the country and researchers from “Academic Institution”. A network of 20 indigenous researchers was organized, who met in 2019 and highlighted the need to “give recognition to indigenous knowledge” as a scientific expression; the difficulties of mastering the Portuguese language; the collective character of indigenous authorship and the need to make indigenous identities visible in authorship in scientific productions. An Indigenous Editorial Board was formed and prepared a public call for indigenous authors, which resulted in an open access publication with 21 texts. The editorial process sought to qualify the editorial board in the editorial production process; indigenous researchers carried out the peer review of the submitted texts; and virtual meetings were held with the authors to discuss the opinions. In addition to a quality academic production by indigenous authors, the project strengthened the network of indigenous researchers in collective health area, involving them in other events and initiatives, and triggered institutional changes at “Academic Institution”.

Comparative mitochondrial genomics of Terniopsis yongtaiensis in Malpighiales: structural, sequential, and phylogenetic perspectives

BackgroundTerniopsis yongtaiensis, a member of the Podostemaceae family, is an aquatic flowering plant displaying remarkable adaptive traits that enable survival in submerged, turbulent habitats. Despite the progressive expansion of chloroplast genomic information within this family, mitochondrial genome sequences have yet to be reported.ResultsIn current study, the mitochondrial genome of the T. yongtaiensis was characterized by a circular genome of 426,928 bp encoding 31 protein-coding genes (PCGs), 18 tRNAs, and 3 rRNA genes. Our comprehensive analysis focused on gene content, repeat sequences, RNA editing processes, intracellular gene transfer, phylogeny, and codon usage bias. Numerous repeat sequences were identified, including 130 simple sequence repeats, 22 tandem repeats, and 220 dispersed repeats. Phylogenetic analysis positioned T. yongtaiensis (Podostemaceae) within the Malpighiales order, showing a close relationship with the Calophyllaceae family, which was consistent with the APG IV classification. A comparative analysis with nine other Malpighiales species revealed both variable and conserved regions, providing insights into the genomic evolution within this order. Notably, the GC content of T. yongtaiensis was distinctively lower compared to other Malpighilales, primarily due to variations in non-coding regions and specific protein-coding genes, particularly the nad genes. Remarkably, the number of RNA editing sites was low (276), distributed unevenly across 27 PCGs. The dN/dS analysis showed only the ccmB gene of T. yongtaiensis was positively selected, which plays a crucial role in cytochrome c biosynthesis. Additionally, there were 13 gene-containing homologous regions between the mitochondrial and chloroplast genomes of T. yongtaiensis, suggesting the gene transfer events between these organellar genomes.ConclusionsThis study assembled and annotated the first mitochondrial genome of the Podostemaceae family. The comparison results of mitochondrial gene composition, GC content, and RNA editing sites provided novel insights into the adaptive traits and genetic reprogramming of this aquatic eudicot group and offered a foundation for future research on the genomic evolution and adaptive mechanisms of Podostemaceae and related plant families in the Malpighiales order.

GPT Alumni AI Pesquisa: A Practical Tutorial for the Adoption and Ethical Use of AI in Scientific Research

Objective: This tutorial introduces the use of Alumni AI Pesquisa, a chatbot based on GPT-4, publicly available on the OpenAI platform, designed to support the ethical and transparent use of Artificial Intelligence (AI) in academic research. The aim is to guide authors, editors, and reviewers in the responsible application of AI, ensuring scientific integrity throughout the editorial process. Method: The tutorial provides a step-by-step guide on how to access and utilize Alumni AI Pesquisa. The GPT-4 offers guidance on the ethical use of AI in academic writing, the oversight of editorial decisions assisted by AI, as well as compliance with editorial guidelines and manuscript formatting. Correct usage of AI is promoted through practical examples and references to global best practices. Results: Alumni AI Pesquisa provides immediate support tailored to different user profiles (authors, editors, and reviewers), encouraging transparent AI use in manuscripts. The tool ensures that AI-assisted decisions are validated by human supervisors, guaranteeing adherence to ethical and technical standards. Conclusions: Publicly available on the OpenAI platform, Alumni AI Pesquisa, powered by GPT-4, significantly contributes to the promotion of scientific integrity by facilitating responsible AI use in the academic environment. It is recommended that the use of the tool be cited in publications, explicitly mentioning the version (GPT-4).

CONNECTION BETWEEN ARTISTIC EDITING AND ARTISTIC TRANSLATION

This scientific article investigates the necessity of adhering to linguistic norms and existing editorial principles when editing literary translations from foreign languages, taking into account the shared aspects of translation and editorial criteria. The study focuses on the quality of editing the Uzbek translation of the novel The Alchemist, compared to its English and Russian versions. It examines issues such as preserving the semantic features of the text during the editing process and provides suggestions and recommendations for addressing shortcomings that arise in the editorial process.

GeoTraductores: A Collaborative Initiative Democratizing Science Communication in Latin America

AbstractGeoTraductores is an collaborative initiative between Eos, Planeteando, andGeoLatinas that aims to provide Spanish‐speaking communities access to current scientific findings. This goal is accomplished by translating science articles originally published in English on AGU's Eos.org, within their Science News magazine, into Spanish. This cross‐organizational initiative has translated, edited, and published over 150 articles, breaking the language barrier for Spanish‐speaking communities. Our experience since 2020 has allowed us to tailor an efficient co‐production model, which starts with (a) the selection of articles of interest to translate, followed by (b) the translation, reviewing, and editing process by volunteers, and (c) the publication and social media dissemination of the translated article. The tangible impact of GeoTraductores is evident in the substantial surge of visitor traffic to the Eos website between 2020 and 2023, particularly from Latin American countries. Notably, increases exceeding 85% were observed in Colombia, Mexico, and Panama, with 20% or greater growth in Chile, Brazil, Costa Rica, Peru, and Ecuador, confirming the initiative's success in meeting a genuine need. This impact extends globally, with Spain experiencing a 40% increase in visitors. Our co‐production model is possible thanks to the contribution of around 40 GeoTraductores, mainly women (85%), who are native Spanish speakers or bilingual (Spanish and English speaking). These early‐career scientists, through their volunteer work, enhance their bilingual communication skills while breaking down language barriers in science communication. The Eos‐Planeteando‐GeoLatinas co‐production model fosters science democratization for Latin America while promoting diversity, equity, and inclusion in Earth Sciences, one translation at a time.

Digital information repackaging: best practices from university library website managers

Purpose This paper aims to explore the digital information repackaging process from the perspective of library website operators. The digital info repackaging process consists of analysis, synthesis, editing and presenting. Design/methodology/approach Interviews with 17 library website operators regarding their experience in information repackaging. The library website observation also conducted to gather the data on information repackaging. Findings Librarians who manage library websites repackage digital information using a process of user analysis, content analysis, editing and transforming and translating. Librarians who are in charge of repackaging usually collect, check, group and present information based on the raw data and information. Librarians rarely did criticize or argue the information. They just deliver it in the pact and attractive format. In the future, librarians can add critical comments on their digital information content, such as give recommendation, provide point of view, add some suggestion or make comparison. Practical implications This paper can provide an overview of the process of repackaging digital information carried out by university libraries which can be provided by libraries via websites. Apart from that, it is hoped that the presence of this research can help librarians in carrying out the process of repackaging digital information. Originality/value This paper can add to the scientific development of information science and library studies related to the field of information repackaging, especially in the repackaging of digital information in creating website content to efficiently meet the information needs of university library users.

Improving AI-assisted video editing: Optimized footage analysis through multi-task learning

In recent years, AI-assisted video editing has shown promising applications. Understanding and analyzing camera language accurately is fundamental in video editing, guiding subsequent editing and production processes. However, many existing methods for camera language analysis overlook computational efficiency and deployment requirements in favor of improving classification accuracy. Consequently, they often fail to meet the demands of scenarios with limited computing power, such as mobile devices. To address this challenge, this paper proposes an efficient multi-task camera language analysis pipeline based on shared representations. This approach employs a multi-task learning architecture with hard parameter sharing, enabling different camera language classification tasks to utilize the same low-level feature extraction network, thereby implicitly learning feature representations of the footage. Subsequently, each classification sub-task independently learns the high-level semantic information corresponding to the camera language type. This method significantly reduces computational complexity and memory usage while facilitating efficient deployment on devices with limited computing power. Furthermore, to enhance performance, we introduce a dynamic task priority strategy and a conditional dataset downsampling strategy. The experimental results demonstrate that achieved a comprehensive accuracy surpassing all previous methods. Moreover, training time was reduced by 66.33%, inference cost decreased by 59.85%, and memory usage decreased by 31.95% on the 2-task dataset MovieShots; on the 4-task dataset AVE, training time was reduced by 95.34%, inference cost decreased by 97.23%, and memory usage decreased by 61.21%.

CRISPR/Cas9 Technology for Enhancing Desirable Traits of Fish Species in Aquaculture.

Aquaculture, the world's fastest-growing food production sector, is critical for addressing food security concerns because of its potential to deliver high-quality, nutrient-rich supplies by 2050. This review assesses the effectiveness of CRISPR/Cas9 genome editing technology in enhancing desirable traits in fish species, including growth rates, muscle quality, disease resistance, pigmentation, and more. It also focuses on the potential effectiveness of the technology in allowing precise and targeted modifications of fish DNA to improve desirable characteristics. Many studies have reported successful applications of CRISPR/Cas9, such as knocking out reproductive genes to control reproduction and sex determination, enhancing feed conversion efficiency, and reducing off-target effects. Additionally, this technology has contributed to environmental sustainability by reducing nitrogen-rich waste and improving the nutritional composition of fish. However, the acceptance of CRISPR/Cas9 modified fish by the public and consumers is hindered by concerns regarding public perception, potential ecological impacts, and regulatory frameworks. To gain public approval and consumer confidence, clear communication about the editing process, as well as data on the safety and environmental considerations of genetically modified fish, are essential. This review paper discusses these challenges, provides possible solutions, and recommends future research on the integration of CRISPR/Cas9 into sustainable aquaculture practices, focusing on the responsible management of genetically modified fish to enable the creation of growth and disease-resistant strains. In conclusion, this review highlights the transformative potential of CRISPR/Cas9 technology in improving fish traits, while also considering the challenges and ethical considerations associated with sustainable and responsible practices in aquaculture.

The Implications of Artificial Intelligence (AI) on the Quality of Media Content

The article aimed to identify the repercussions of artificial intelligence (AI) on the quality of creating media content. The research employed the qualitative analytical method, conducting semi-structured interviews with seven Jordanian journalists who work in various media institutions in Jordan. The results revealed that the fields in which AI is employed are design and graphics, dealing with big data, and reformulating content and written texts and that the media content topics in which AI is employed are “technological,” “educational,” and “economic.” The most used AI applications and websites in journalism and media production were ChatGTP, Google Assistant, Designs.ai, Art Flow, QuillBot, Grammarly, Deepfake, Word.ai, Chatbots, AI-Writer, Siri, Blockchain, Otter.ai, and others. The results also revealed that AI has had crucial impacts on the quality of media content through the accuracy of data analysis, the acceleration of the editing process, and the enhancement of the (human) journalist’s skill in editing and drafting. The authors recommended conducting more studies on AI in preparing fake news stories on social media platforms.

The "machine translation + post-machine translation editing" model on the YiCAT platform: using the example of the discipline "Stylistic post-machine text editing" for first-year graduate students of the Higher School of Translation of Moscow State University

In this article, the author analyzes the process of machine translation and post-machine editing by Chinese students in classes on the discipline "Stylistic post-machine text editing" using the YiCAT translation platform, which uses a model of combining machine translation and post-machine editing in order to organize the educational process and allocate study time. In 2017, the Russian government approved the "Digital Economy Plan of the Russian Federation", as a result of which the digitalization process gradually penetrated into all scientific spheres. The author of the article concludes that Russian universities should pay more attention to teaching machine translation and post-machine translation editing. In addition, the article presents the idea that the translation departments of modern universities should focus on the introduction and application of translation technologies and the latest translation tools in the framework of teaching translation skills. There are only a few hundred articles in Russia dealing with the specifics of machine translation. Most of them are devoted to the study of existing limitations, development opportunities and ways to improve machine translation systems. At the same time, there are extremely few articles dealing with the features of post-machine editing of the translation text. The number of such articles does not exceed several dozen. Thus, there are many challenges in the field of post-machine translation editing research that should be addressed as soon as possible so that the field of post-machine translation editing can correspond to the era of artificial intelligence. At the same time, Russian universities should pay attention to the teaching of disciplines involving machine translation tools and post-machine editing skills. Large translation faculties should actively use translation technologies and machine translation tools in the classroom, add new academic disciplines implying the familiarization and application of such technologies and tools by students, as well as integrate such disciplines into the framework of existing training programs for specialists in the field of translation. All this will allow universities to form a reliable basis for the education of modern and qualified specialists who meet the requirements of the new era.