Text Fragments Research Articles

The Investigation of the Application of RAG Technology in the Field of EHR

Electronic Health Records (EHR) play a crucial role in contemporary medical information systems, capturing extensive data in multiple scenarios. This review explores the impact of Retrieval Augmented Generation (RAG) on managing EHR. By integrating retrieval and generation processes, RAG significantly enhances data handling, clinical decision support, and patient management. EHRs contain extensive data like patient histories and diagnostic information, which are becoming increasingly complex. The RAG improves the accuracy and richness of this data processing by using a retrieval module to extract relevant text fragments and a generation module to create precise outputs. Despite its potential, RAG faces challenges such as data inconsistency, privacy concerns, and the need for efficient training. Recent studies highlight the RAG’s effectiveness in summarizing clinical notes and enhancing prediction accuracy, suggesting a promising future in healthcare. However, ongoing research is necessary to optimize the RAG’s application and address these challenges, aiming to transform healthcare delivery effectively.

Literati or Demolition Men? References to Thoth in New Kingdom Epigraphy from the Precinct of Senwosret III at Dahshur

Summary References to Thoth in New Kingdom epigraphy in the Middle Kingdom precinct of Senwosret III at Dahshur include two case studies: a literary dipinto and a depiction of an ibis. The fragmentary text might have contained a hymn to the god of writing, or a text resembling eulogy of the scribal profession. Alongside Kemyt, it attests to an emphasis on literacy and specialist knowledge. An image of Thoth articulated the allegiance to the patron of scribes. The New Kingdom writing and visual practices contribute to an understanding of the New Kingdom community involved in the use and destruction of the Middle Kingdom pyramid complex.

Functions and specificity of metaphorical complexes in D. Kehlmann’s novel «Tyll»

The article is devoted to the analysis of the linguistic representation and functional features of the metaphorical complexes death and movement in the German-language novel discourse. The research was based on the novel «Tyll» (2017) written by the modern German writer D. Kehlmann. The novel tells about the character of German medieval legends Till Eulenspiegel portrayed as vagabond and artist, placed in the landscape of the Thirty Years’ War. The relevance of the research is due to the lack of systematic studies of the novel metaphor and its dominant role in the process of meaning generation in literary texts at the «new turn of the century». The author used an integral approach to the problem under study. The initial theoretical premise of the study is the recognition of the serious cognitive potential of metaphor, realized in the process of artistic cognition. As a result of the research, it was found that the metaphorical complex death is embodied by D. Kehlmann in the novel by sequence of figurative rows that create a metaphorical connection between the arrival of the harbinger of death Till Eulenspiegel and the onset of War. The author suggests considering the process of formation of the metaphorical complex movement in a series of text fragments created with the participation of verbs with semantics of movement, spatial prepositions and adverbs of repetition. Attempting to characterize the rhythmic specificity of the novel text under study, the author comes to the conclusion that the main method used by D. Kehlmann is justification of rhythmic expectation. The rhythm of the text is consistent with the conceptual dance of the main character through subjectively ranged gradation rows with an ascending increment of semantic and emotionally expressive significance, which determine the author’s modality. Metaphorical complexes death and movement have prognostic and compositional functions. The results obtained confirm the metaphoricity of the novel under study and the necessity to analyze other metaphorical complexes as part of the central novel metaphor as an important category of modern German literature.

Fragments of the Sanskrit Paссaviṃњatisāhasrikā Prajñāpāramitā-sūtra (SI 3492, SI 3650) in the Serindia Collection (IOM, RAS)

According to the latest data, the Sanskrit part of the Serindia Collection (IOM, RAS) includes 667 storage units, which represent manuscript fragments of various Buddhist texts. About 100 of the largest and most well-preserved manuscripts have been studied and introduced into scientific circulation by Russian and foreign researchers. At the same time, many other texts in a rather scattered and fragmented condition still remain unpublished. Among the unexplored Sanskrit Buddhist manuscripts in the Serindia Collection, the most important place belongs to the fragments of fundamental texts in the Mahāyāna tradition — the Prajñāpāramitā sūtras (“Sūtras on Perfect Wisdom”). The present paper deals with three previously unpublished Sanskrit fragments (SI 3492, SI 3650) housed in the Serindia Collection as part of the “N.F. Petrovsky Subcollection”. Fragments have been identified as parts of the Paсcaviṃњatisāhasrikā Prajñāpāramitā-sūtra (“Sūtra on Perfect Wisdom in 25000 lines”). Judging from the external characteristics and contents, these fragments not only belong to the same manuscript, but also fit together like three puzzle pieces. The paper includes a description of the fragments, a transliteration of the manuscript and its comparison with the critical edition of the Sanskrit text of the Sūtra, a Russian translation, and facsimiles made before and after its restoration.

Global-aware Fragment Representation Aggregation Network for image-text retrieval

Image-text retrieval is an important kind of cross-modal retrieval method and has recently attracted much attention. Existing image-text retrieval methods often ignore the relative importance of each fragment (region in an image or word in a sentence) on the global semantic of image or text when aggregating features of image or text fragments, resulting in the ineffectiveness of the learned image and text representations. To address this problem, we propose an image-text retrieval method named Global-aware Fragment Representation Aggregation Network (GFRAN). Specifically, it first designs a fine-grained multimodal information interaction module based on the self-attention mechanism to model both the intra-modality and inter-modality relationships between image regions and words. Then, with the guidance of the global image or text feature, it aggregates image or text fragment features conditioned on their attention weights over global feature, to highlight fragments that contribute more to the overall semantics of images and texts. Extensive experiments on two benchmark datasets Flickr30K and MS-COCO demonstrate the superiority of the proposed GFRAN model over several state-of-the-art baselines.

Unveiled: Proclaiming the Essence and Message of the Gospel with Clarity, Consistency, and Conviction

In theological discourse, the gospel is the singular epicenter, the radiant core, and the transcendent blueprint of divine intentionality. This article delves into the profound assertion that the gospel represents not merely a fragment of sacred text but is the ultimate plan and proclamation encapsulating all that God has been, is, and will ever be within the expansive tapestry of the universe. The gospel's prominence transcends theological boundaries as it emerges as the pulsating heart of the Bible, casting an indelible shadow over every page and parable. It beckons us to recognize that within the sacred scriptures, every narrative, every verse, and every doctrine is unequivocally linked to one of three overarching categories: preparation for the gospel, presentation of the gospel, or participation in the gospel. Our journey through these sacred texts unveils an awe-inspiring continuum of divine action—stretching from the timeless recesses before creation to the grand crescendo of restoration in a future yet to unfold. Indeed, the Bible, we contend, is not a mere anthology of ideas but a meticulously recorded account of God's myriad acts.

Особенности перевода диалогической коммуникации в видеоигре “Cyberpunk 2077” в языковой паре «английский – русский»

The paper examines the specifics of video game localization from English into Russian, focusing on the translation of dialogic communication in the video game “Cyberpunk 2077”. The research aims to identify the optimal translation technology for character lines in the game’s universe by describing the most frequent techniques for localizing verbal content. The research material includes original and translated text fragments of dialogues of the main characters from the video game “Cyberpunk 2077”, as well as its DLC “Cyberpunk 2077: Phantom Liberty”, obtained using a continuous sampling method for a total of 85,000 characters. The scientific novelty of the research lies in systematizing the lexical-stylistic and syntactic means of realizing the pragmatic potential of the video game in dialogic communication in the studied language pair. It has been found that during the translation and localization of the video game, translators employ translation techniques such as semantic development, conceptual adaptation, antonymic translation, omission, transcription, and calquing. In the translation process, special attention should be paid to the rules of the in-game universe, the specifics of the video game genre, and its game mechanics. The research findings have shown that the emergence of semantic inaccuracies during the translation of dialogic communication in video games is due to a number of syntactic, lexical, and stylistic features of the original game, including non-linear dialogues with the choice of lines, interjections, pseudo-realia, dialectalisms, and Easter eggs. The adequacy of the sounding text takes precedence in the localization of the video game “Cyberpunk 2077”.

COVERT SIMULTANEOUS POST-EDITING IN ONLINE ASSESSMENT OF STUDENTS’ SIGHT TRANSLATION

This first attempt aims to determine the extent of students’ covert use of machine translation (MT) in the online assessment of their sight translation, the strategies of such use, and its signs. The study is based on the analysis of target texts (TT) of specialised online sight translation from Ukrainian into English by 13 BA and 10 MA students. The procedure involved the comparison of the students' TTs with their MT counterparts. Signs of covert MT were found in 46% of the BA and 30% of the MA students’ translations. The main method of this covert MT use is "simultaneous post-editing", i.e., the immediate oral post-editing of the MT text generated by the students on their screens and hidden from the assessor, while they deliver their supposedly original TTs. Simultaneous post-editing strategies range from replacing individual lexemes with their synonyms, adding and deleting elements, changing the syntactic functions of words or phrases, rearranging sentence fragments, transforming their structure, to applying several of these strategies simultaneously. Other methods of concealment include alternating MT systems in translating the same source text, as well as artificially slowing down the process of reading the TT from the screen, accompanied by pauses in the relevant text fragments to perform certain mental operations. In order to increase objectivity, the author recommends a delayed assessment of students' online interpreting recordings. The research perspective is to study the didactic potential of simultaneous post-editing as a procedure for developing general interpreting skills.

Knowledge graph-based Bayesian network risk assessment model for hydrogen accidents

A Bayesian network risk assessment model for hydrogen accidents based on a knowledge graph is proposed. The study uses hydrogen accident report texts to form hydrogen accident knowledge texts by analyzing, processing, and extracting text fragments with transparent causal relationships. Then, the Bert-BilSTM-CRF algorithm is used to extract knowledge, and the results are stored in the Neo4j database to construct a knowledge map, obtain the risk factors of hydrogen accidents, and complete the structural modeling of the Bayesian network. The improved SAM method is used to aggregate expert opinions, calculate the prior and posterior probability, and realize the parameter learning of the Bayesian network. Based on a knowledge graph, this forms a Bayesian network risk assessment model for hydrogen accidents. This model can evaluate and warn against hydrogen accidents in a data-driven manner and promote knowledge acquisition, analysis, and decision-making on hydrogen energy storage and transportation risks.

“New Sincerity” Interview Strategies: Million Dollar Questions and Smaller Conversational Exchanges

The article deals with the techniques of building a dialogue in the interview genre that encourage the interlocutor to be sincere. The intrusion of a journalist into the addressee’s private space, as well as the interviewee’s expression of their own identity through answers to “uncomfortable” questions can be considered as the discursive indicators for determining whether a text belongs to the tendency of “new sincerity” described in the present paper. The material of the study includes text fragments from the interviews of the Russian journalists with famous cultural figures and politicians published in the media or posted on the Internet platforms within the period of 2018–2023. It has been established that in order to determine the markers of “new sincerity” in the genre of a journalistic interview, one should consider the following essential discursive characteristics: thematic variety, methods of requesting (finding out) information by a journalist, the interlocutor’s reaction to a question that is on the borderline between public and private communication, techniques of euphemization and implication/explication of taboo meanings. “New sincerity” is found, first of all, in the expanded zone of thematic freedom acceptable in public communication. The main topics discussed in journalistic interviews, which reveal this trend (finances, health, appearance, etc.) are described in the article. The subject of the study is various methods of stimulating the “confessional” statement of the interlocutor and their latter’s reaction to violations of the acceptable boundaries of sincerity in public communication. The study also reveals metalinguistic markers of “new sincerity” that represent the strategies of speech behavior of both the journalist and their interlocutor. The results of the study show that “new sincerity” is becoming a technology that is used in mass media as a tool to influence the audience; thereby it shapes the communicative culture of the society in the public space.

Стратегии научно-популярного педагогического интернет-дискурса

The article presents the results of a discursive analysis of online articles on foreign language learning. The analysis continues the study of the English popular science pedagogical discourse, complementing the number of already identified and characterized components with discourse strategies. The aim of the paper is to identify and analyze the strategies of the popular science pedagogical internet discourse which would expand scientific ideas about the interaction peculiarities between the pedagogical community and society. As practical material, the study uses one of the most famous English online magazines dedicated to language learning. By random sampling, 70 text fragments are selected from the magazine, exhibiting the whole variety of speech means the pedagogical community uses to cover its intentions and values. To achieve the aim set in the research, the authors use linguapragmatic, linguasemiotic, discursive analysis and descriptive, analytical, interpretive, statistical methods. As a result of the analysis, the strategies of attracting attention, modality, transmitting reliability, forming professional identity, solidarity, manipulation and consolidation have been established. Each strategy reveals its own means of speech implementation, among which we can name various verbal constructions, appealing constructions, constructions emphasizing causes and consequences of educational processes, evaluating lexemes, lexemes with semantics of inducement to action, etc. The range of communication strategies and means of their verbalization is not limited to those given in the paper. In order to describe the model of the popular science pedagogical discourse existing not only in the English internet space, the need for further analysis of the research subject is obvious.

Immersive e-learning application in intelligent teaching of English composition based on neural network algorithm

Technical solutions for evaluating traditional English teaching composition and other problems, such as excessive subjectivity, waste of time, slow feedback, short scoring time, heavy tasks and so on. This paper first analyzes the theoretical basis of neural network algorithm, and completes the preprocessing of the composition text submitted by students from three aspects: text segmentation, text representation and text fragment retrieval. Then, an intelligent evaluation system of English composition is established, and the scoring standard of English composition is determined. On this basis, the design of English scoring module is improved, and an anti cheating module for common plagiarism problems in English composition is added. Finally, the English composition intelligent evaluation system is tested. It can effectively complete the target task, evaluate and correct the composition, and has a higher recognition success rate and accuracy rate. By studying the algorithm and applying it to the construction of English composition intelligent evaluation system, this paper successfully designs a kind of English composition intelligent evaluation system, which promotes the development of teaching work.

“The World as a Pomegranate”: Intercultural Symbolism of the Fruit of Paradise

The article explores one of the constructive materials, or patterns, of the Armenian text – the image of a pomegranate. Its multicultural genesis is revealed based on Sergei Parajanov’s film “The Color of Pomegranate”. The authors analyze not only the multi-ethnic contexts of the image of a pomegranate but also its different facets: in particular, the role of the image of a pomegranate in liminary situations – rites of passage (using the example of the biography of the artist Alexander Volkov, and the picturesque plots “Pomegranate Teahouse” by A. Volkov and “Rejoicing with a Pomegranate” by Usto Mumin, depicting the painted characters in their liminary stage – the Sufi state of hal, which raises the heroes to the highest level of knowledge). The image of the pomegranate is presented in the reception of the authors of Russian poetic texts: Mikhail Matusovsky, Vasily Nemirovich-Danchenko, Boris Chichibabin, Fazil Iskander, Gevorg Kubatyan, German Getsevich, Amiram Grigorov, Sergei Gevorkyan, as well as in the translations from Omar Khayyám. The semantics of pomegranate is analyzed in the story “Pomegranate” by the Uzbek writer Abdullah Kahhar, as well as in the fragments of other prosaic texts (Dina Rubina, Timur Pulatov) and the film text “The Tree of Desire” by Tengiz Abuladze. The study reveals the Biblical and Koranic meanings of the pomegranate image. The polyphony of meanings of the image of a pomegranate in different cultures, in different types of art, and in different eras comes down to the homogeneity of the pomegranate, existentially revealed by Sergei Parajanov in the formula “the pomegranate is the whole world”.

Polymodality of perception and its reflection in fiction text: Сognitive and semiotic perspectives

The issues related to the polymodality of perception and various forms of intermediality are widely discussed in linguistics whereas the aspect of their interrelation is seldom considered. This research is aimed at tracing the participation of various modes of perception in the process of interaction with the world, the reflection of this process in our consciousness and memory in the form of various images up to the manifestation of those images in the intermedial relations in fiction text. The study draws on cognitive semiotics, text linguistics, polymodality and intermediality. The theoretical analysis sugessts that the polymodality of perception results in the formation of synesthetic mental images represented in the phenomenon of intermediality. The empirical material of the research includes text fragments from the works by Virginia Woolf, James Joyce, Joyce Cary and Adam Thorpe containing samples of linguа-artistic and linguа-musical techniques of writing as forms of intermediality. The intermedial analysis of the empirical material shows how the polymodality of perception determines the specificity of the authors’ creative thinking represented in the choice of language means that activate musical and visual images in the readers’ minds. As a result, such fiction texts are constituted as related to a specific art whose forms and devices are used in it. The analysis has also revealed that in the process of verbal representation of musical or artistic images language exploits all forms of its semiotic signs: symbols (for naming colours, shades of light, sounds of music), indices (allusions to works of art or their authors) and icons (the use of forms and devices characteristic of other arts). The study confirms the productivity of exploring intermedial interaction in the cognitive and semiotic perspectives to demonstrate the relations between perception, conceptualization and the embodiment of the results in fiction text.

TRANSLATION STRATEGIES IN ENGLISH-UKRAINIAN RENDERING OF DUAL-NUMBER QUANTIFI

The article deals with translation strategies implemented in English-Ukrainian rendering of dualnumber quantifiers ‘both,’ ‘either,’ ‘neither’ that occur in modern fantasy fiction. The study aims to identify local and global translation strategies and methods of their adequate rendering at the post-translation stage of generalizing the translator’s experience. The research objectives are: 1) to compile a complete register of the lexemes under investigation based on J.K. Rowling’s “Harry Potter and the Prisoner of Azkaban” and its authorized Ukrainian translation produced by V. Morozov.; 2) to determine their semantic and functional characteristics and direct translation equivalents; 3) to identify their semantic roles and syntactic functions in the source text; 4) to specify the types of grammatical shifts and methods of their rendering into Ukrainian; 5) to identify and analyze the translation strategies applied by the translator to reach equivalence and adequacy of translation. The research material comprises 96 dual-number quantifiers used in the original text and their translations in the corresponding Ukrainian text fragments. In the course of the study, the following methods were employed: 1) entire sampling to compile a register of the lexemes and accomplish the source and target text levelling; 2) dictionary entries’ analysis to establish the lexical-semantic and functional properties of the quantifiers and their direct Ukrainian translation equivalents; 3) contextual analysis and immediate constituents’ analysis to identify their semantic roles and syntactic functions in the source text; 4) comparative-contrastive translation transformational analysis to specify the translation methods and types of grammatical shifts applied in their rendering; 5) to identify and analyze the translation strategies implemented by the translator; 6) quantity calculations to determine the frequencies of the analyzed phenomena. As a result, based on dictionary entries’ analysis, the main functional-semantic classes of the quantifiers have been found to be the determiner, pronoun, conjunction and pronominal adverb. By means of immediate constituents’ and contextual analysis, 17 pure and blended semantic roles of the lexemes’ referents in ‘state of affairs’ situations have been identified, the most frequent being the agent (36.4%), locative (14.6%) and experiencer (11.4%). By way of sentence parsing, 19 combinations of the semantic roles and syntactic functions have been established, the most frequent one being the agent subject (37.5%), the others showing frequencies around 10%. With the aid of translation transformational analysis, the most common methods of rendering the dual-number quantifiers into Ukrainian have been found to be omission (62.5%), equivalent (literal) translation (21.9%) and lexical substitution (15.6%). Correspondingly, the main translation strategies, including ST-oriented and TToriented ones, have been proved to be 1) communicative translation (68.8%) by omission with emphasis decrease, related and unrelated-word paraphrase, clause/sentence structure change and explicitness decrease, and by equivalent with emphasis change and clause/sentence structure change and/or addition; 2) literal translation (15.6%) including direct translation (4.2%) by pure equivalent and oblique translation (11.4%) by blended equivalent. i.e. with emphasis change and/or clause/sentence change; 3) semantic translation (15.6%) involving synonymy, emphasis change, phrase structure change, modulation, clause/ sentence structure change and explicitness decrease, 4) domestication (100%) incorporated in the above three strategies, all applied to ensure equivalence and adequacy of the translation.

Analysis and prediction of research hotspots and trends in heart failure research.

Comprehensive data analyses in heart failure research can provide academics with information and help policymakers formulate relevant policies. We collected data from reports published between 1945 and 2021 to identify research topics, trends, and cross-domains in the heart failure disease literature. Text fragments were extracted and clustered from the titles and abstracts in 270617 publications using artificial intelligence techniques. Two algorithms were used to corroborate the results and ensure that they were reliable. Experts named themes and document clusters based on the results of these semiautomated methods. Using consistent methods, we identified and flagged 107 heart failure topics and 16 large document clusters (divided into two groups by time). The annual vocabularies of research hotspots were calculated to draw attention to niche research fields. Clinical research is an expanding field, followed by basic research and population research. The most frequently raised issues were intensive care treatment for heart failure, applications of artificial intelligence technologies, cardiac assist devices, stem cells, genetics, and regional distribution and use of heart failure-related health care. Risk scoring and classification, care for patients, readmission, health economics of treatment and care, and cell regeneration and signaling pathways were among the fastest-growing themes. Drugs, signaling pathways, and biomarkers were all crucial issues for clinical and basic research in the entire population. Studies on intelligent medicine and telemedicine, interventional therapy for valvular disease, and novel coronavirus have emerged recently. Clinical and population research is increasingly focusing on the customization of intelligent treatments, improving the quality of patients' life, and developing novel treatments. Basic research is increasingly focusing on regenerative medicine, translational medicine, and signaling pathways. Additionally, each research field exhibits mutual fusion characteristics. Medical demands, new technologies, and social support are all potential drivers for these changes.

DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations.

While biomedical relation extraction (bioRE) datasets have been instrumental in the development of methods to support biocuration of single variants from texts, no datasets are currently available for the extraction of digenic or even oligogenic variant relations, despite the reports in literature that epistatic effects between combinations of variants in different loci (or genes) are important to understand disease etiologies. This work presents the creation of a unique dataset of oligogenic variant combinations, geared to train tools to help in the curation of scientific literature. To overcome the hurdles associated with the number of unlabelled instances and the cost of expertise, active learning (AL) was used to optimize the annotation, thus getting assistance in finding the most informative subset of samples to label. By pre-annotating 85 full-text articles containing the relevant relations from the Oligogenic Diseases Database (OLIDA) with PubTator, text fragments featuring potential digenic variant combinations, i.e. gene-variant-gene-variant, were extracted. The resulting fragments of texts were annotated with ALAMBIC, an AL-based annotation platform. The resulting dataset, called DUVEL, is used to fine-tune four state-of-the-art biomedical language models: BiomedBERT, BiomedBERT-large, BioLinkBERT and BioM-BERT. More than 500 000 text fragments were considered for annotation, finally resulting in a dataset with 8442 fragments, 794 of them being positive instances, covering 95% of the original annotated articles. When applied to gene-variant pair detection, BiomedBERT-large achieves the highest F1 score (0.84) after fine-tuning, demonstrating significant improvement compared to the non-fine-tuned model, underlining the relevance of the DUVEL dataset. This study shows how AL may play an important role in the creation of bioRE dataset relevant for biomedical curation applications. DUVEL provides a unique biomedical corpus focusing on 4-ary relations between two genes and two variants. It is made freely available for research on GitHub and Hugging Face. Database URL: https://huggingface.co/datasets/cnachteg/duvel or https://doi.org/10.57967/hf/1571.

Речевой жанр криминальной угрозы в интернет-коммуникации

The author attempts to explore the threat as a speech genre of verbal aggression. It is argued that the threat is most often found in the texts of modern online-communication, the characteristics of which are close to a synthetic oral-written form of communication and the colloquial genre. It is emphasized that in modern studies the threat is researched from a legal and linguistic point of view. The author proves the idea that there are two main types of threat statements – a threat-warning, including a causal action, and a threatpunishment. A specific sub-genre of threat is a blackmail, which includes manipulation by means of information compromising the addressee. Semantically, the threat can be explicit, clearly expressed, and implicit, whose interpretation requires an appeal to the logics of the statement. Implicit threat in online-communication is the most difficult type to research, since its interpretation involves analyzing the logic of constructing a statement by identifying linguistic techniques presented in the text – the use of euphemisms, idioms, semantic convolution, metaphors, sarcasm, precedent case reference and non-verbal components of communication (images, emoji. Implicit threat is studied using data from various explanatory linguistic dictionaries and fragments of texts submitted for forensic linguistic examination. It is reported that the genre of a criminal threat should be distinguished from other genres such as promises, orders, warnings, verbally expressed suicidal intentions, malevolence, a threat in a broad sense, and calls to a violent action.

Речевой жанр пожелания в молодёжном интернет-дискурсе: новации и лингвокреативность

This paper analyses the use of the wishing genre among Russian young people. One of the features of youth speech is a shift from stereotypes, searching for new creative ways of expressing various intentions, such as evaluation, compliment, congratulation and wishing. The purpose of the study is to analyze the texts of wishes from the point of manifesting the linguistic creativity of the addressers; to identify the means and ways of destroying stereotypes. The research material is youth wishes, predominantly students’ wishes (more than 700 text fragments). The analysis of the content of the wishing texts enabled the author to classify all wishes into stereotypical, individual and combined. Empirical material shows that in the communication of friends most wishes refer to individual ones (64%), whereas combined and stereotypical wishes make up 25% and 11%, respectively. The analysis of the texts of wishes identified the ways and means of demonstrating the linguistic creativity of the addressee. These ways and means include the tactics of compliment, appeal, advice, switching the addressee to a humorous tone and some other tactics that are not discussed in this paper. All of them allow to make wishes less stereotypical. The material showed that addressers in wishes aim to supplement the universal components of the wishes with individualized elements, including in the text the utilitarian details of the addressee’s life. Most often, wishes contain references to the addressee’s profession or hobbies. Linguistic creativity of the addressers is manifested at all linguistic levels. First of all, addressees actively use tropes, such as epithets, metaphors, and comparisons. Addressers look for unusual objects for comparison in the linguistic repertoires; they often use hyperbolization. At the level of word-formation, we observe the use of affixes with an augmentative meaning, diminutives (predominantly in wishes to female addressees); speech innovations and occasional word formation. In wishes of young people, a shift from stereotypes reflects in reduplicating letters and symbols, changing letter case, breaking words into syllables and placing a hyphen between syllables; using a wide range of emojis and stickers; playing with colorful highlighting. Precedent texts play an important role in moving away from stereotypes. The author concludes that all the considered methods and means of linguistic creativity that are regularly used by authors when creating wishes make it possible to enhance the expressiveness and impact degree of the texts. They function to avoid stereotypes, achieve a perlocutionary effect, and contribute to the self-presentation of the addresser.

Pursuing the greenery: assessing plant-related content in the new Spanish curricula for compulsory education

ABSTRACT Plants constitute a highly diverse taxonomic group with fundamental ecological functions. However, plant biodiversity loss is currently a dramatic problem. It is essential to promote knowledge and appreciation of plants through formal education, particularly during educational stages that are compulsory for all citizens. This study presents an analysis of the new (2022) national curricula for primary (6–12 years) and compulsory secondary education (12–16 years) in Spain, and of the regional curricula for its largest region, Castilla y León. The analysis was conducted by identifying all plant-related text fragments, and classifying them into an inductive-deductive system of categories. These competence-based curricula are strongly grounded in the 2030 Agenda and the Sustainable Development Goals, since content related to the interactions between the social and the ecological spheres quantitatively prevails over scientific content on plants. However, some areas of plant science are under-represented, appearing only through general statements in which the use of scientific terminology is absent. Opportunities to promote first-hand experience of edible and useful plants are provided by the use of learning situations encouraged in the curricula. Biodiversity is identified as a key issue to be reinforced; despite being included, the curricula fail to associate it with knowledge on plant taxonomy.