Publication Of Texts Research Articles

Особенности зачина публицистической статьи в современных СМИ Германии

The work is conducted within the framework of media linguistics. The aim of the study is to construct a structural-semantic model of the lead. As a result of the analysis, the authors conclude that the lead of a publicistic article possesses specific formal and content-related features. The lead conveys the content of the primary text of the article but functions as an independent communicative unit, possessing a specific set of standard content components. Based on their function, different components can be distinguished in the leads of publicistic articles. These include components of an exploratory nature, informing the reader about the content of the article, and components of a promotional nature, attracting the reader’s attention to the main text. Content components of an informative nature, in terms of their relation to reality, can be divided into objective components, describing certain facts and events, and subjective components, conveying the author’s attitude towards certain facts and events. The scientific novelty of the study lies in the fact that the work determined the frequency of different content components of leads and, based on this, constructed a model of the lead, the most common in the texts of German-language online publications.

The Polish Noble Society of the Early 1690s. Annotation and Counter-Reformation

The article analyzes evidence from publicistic texts about the reaction of the Polish nobility of different confessions to the pogroms of Protestant churches in cities in the early 1690s, where the nature of interfaith relations differed drastically from their nature in many other European countries. A number of acts here sanctioned the legality of the existence in the country of Christian denominations different from the dominant Catholic faith. But in the 1590s, persecution of followers of Protestantism began. Particular attention in the article is paid to the reasons of the strong negative reaction of nobility to their «sbors» by supporters of the Counter-Reformation. Among them the author names the specific consciousness of the Polish noble society: both the Catholic and Protestant gentry perceived themselves as a single community interested in preserving and expanding their class rights.

MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed

Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the raw texts of scholarly publications. Despite this improvement, the reliance on large chunks of raw text makes these algorithms suffer in terms of generalization, precision, and reliability. The use of the distinctive characteristics of bibliographic metadata can prove effective in achieving better performance for this challenging task. In this research paper, we introduce an approach for biomedical relation classification using the qualifiers of co-occurring Medical Subject Headings (MeSH). First of all, we introduce MeSH2Matrix, our dataset consisting of 46,469 biomedical relations curated from PubMed publications using our approach. Our dataset includes a matrix that maps associations between the qualifiers of subject MeSH keywords and those of object MeSH keywords. It also specifies the corresponding Wikidata relation type and the superclass of semantic relations for each relation. Using MeSH2Matrix, we build and train three machine learning models (Support Vector Machine [SVM], a dense model [D-Model], and a convolutional neural network [C-Net]) to evaluate the efficiency of our approach for biomedical relation classification. Our best model achieves an accuracy of 70.78% for 195 classes and 83.09% for five superclasses. Finally, we provide confusion matrix and extensive feature analyses to better examine the relationship between the MeSH qualifiers and the biomedical relations being classified. Our results will hopefully shed light on developing better algorithms for biomedical ontology classification based on the MeSH keywords of PubMed publications. For reproducibility purposes, MeSH2Matrix, as well as all our source codes, are made publicly accessible at https://github.com/SisonkeBiotik-Africa/MeSH2Matrix.

La publicitación de los feminicidios de madres buscadoras en México

This article analyzes the publicizing of the femicides of searching mothers from the perspective of sociology of critique. To this end, it tests an actantial model of complaints through a digital ethnography based on public texts, with the purpose of understanding the slow process of configuration of this social problem as a public problem. The work analyzes this type of feminicide, whose execution pattern is related to the field of organized violence, through a strategy focused on the justifications of the actors involved. In this logic, it reconstructs the stories and narratives of the political and social actors involved in the process, describes relationships between experts and victims in the complaint and access to justice, and provides elements for understanding the meaning that social and political actors give to their experiences of this borderline social problem. The article closes with some considerations about the challenges in researching the structural effects of this type of violence in the field of social sciences and multi-localized public action at a national and subnational scale.

Dataset from a human-in-the-loop approach to identify functionally important protein residues from literature

We present a novel system that leverages curators in the loop to develop a dataset and model for detecting structure features and functional annotations at residue-level from standard publication text. Our approach involves the integration of data from multiple resources, including PDBe, EuropePMC, PubMedCentral, and PubMed, combined with annotation guidelines from UniProt, and LitSuggest and HuggingFace models as tools in the annotation process. A team of seven annotators manually curated ten articles for named entities, which we utilized to train a starting PubmedBert model from HuggingFace. Using a human-in-the-loop annotation system, we iteratively developed the best model with commendable performance metrics of 0.90 for precision, 0.92 for recall, and 0.91 for F1-measure. Our proposed system showcases a successful synergy of machine learning techniques and human expertise in curating a dataset for residue-level functional annotations and protein structure features. The results demonstrate the potential for broader applications in protein research, bridging the gap between advanced machine learning models and the indispensable insights of domain experts.

AIoT based sentiment analysis via multi‐scale context perception to enhance linguistic teaching

AbstractWith the rapid development of the Internet of Things (IoT) and artificial intelligence technology, real‐time text sentiment analysis plays an important role in online education. Due to the limited resources of clients, existing deep networks cannot be directly deployed in the edge node. In addition, deep convolutional networks cannot fully utilize contextual information. In order to resolve these issues, this paper proposes a multi‐scale context‐aware text sentiment analysis system based on cloud computing, in which a bidirectional long short‐term memory network (BiLSTM) model is deployed in the cloud server. The BiLSTM model can fully explore the contextual feature information of the text stream in online education. The real‐time text data are collected through terminal nodes, such as pad or computer, to send the cloud server. The experiments utilize three public text datasets to simulate the input of terminal nodes. The results show that the proposed system shows better accuracy than previous models and can return the emotional status in time.

Representation of material values in Russian and English linguocultures in a paradigmatic aspect (based on publicistic texts of the early 21st century)

Representation of material values in Russian and English linguocultures in a paradigmatic aspect (based on publicistic texts of the early 21st century)

AI-generated text in otolaryngology publications: a comparative analysis before and after the release of ChatGPT.

This study delves into the broader implications of artificial intelligence (AI) text generation technologies, including large language models (LLMs) and chatbots, on the scientific literature of otolaryngology. By observing trends in AI-generated text within published otolaryngology studies, this investigation aims to contextualize the impact of AI-driven tools that are reshaping scientific writing and communication. Text from 143 original articles published in JAMA Otolaryngology - Head and Neck Surgery was collected, representing periods before and after ChatGPT's release in November 2022. The text from each article's abstract, introduction, methods, results, and discussion were entered into ZeroGPT.com to estimate the percentage of AI-generated content. Statistical analyses, including T-Tests and Fligner-Killeen's tests, were conducted using R. A significant increase was observed in the mean percentage of AI-generated text post-ChatGPT release, especially in the abstract (from 34.36 to 46.53%, p = 0.004), introduction (from 32.43 to 45.08%, p = 0.010), and discussion sections (from 15.73 to 25.03%, p = 0.015). Publications of authors from non-English speaking countries demonstrated a higher percentage of AI-generated text. This study found that the advent of ChatGPT has significantly impacted writing practices among researchers publishing in JAMA Otolaryngology - Head and Neck Surgery, raising concerns over the accuracy of AI-created content and potential misinformation risks. This manuscript highlights the evolving dynamics between AI technologies, scientific communication, and publication integrity, emphasizing the urgent need for continued research in this dynamic field. The findings also suggest an increasing reliance on AI tools like ChatGPT, raising questions about their broader implications for scientific publishing.

ACTUALIZATION OF THE PROBLEMS OF ONOMASTIC PSYCHOLOGY WITH REFERENCE TO THE THEORY OF LINQUOPSYCHO ACCENTUATION

The subject of the article is actualization of the study of onyms with stress on their psycholinguistic aspect .The relevance of the study is stipulated by the fact that it is necessary to keep developing the theoretical provisions on onomastic proceeding from the newly evolved trends, one of which is psycholinquistic which meanwhile not duly studied. Since the study of onomastic psycholinguistics is to some extend fall to the range of problems of literature onomastics, its analysis requires application of some methods eligible for psycholinquistic science, while the achieved scientific gains are actualized with positive results.The anymic material is thoroughly analyzed by applying descriptive method particularly involving analysis of psychological sources, namely studies of K. Leonhard and A. Lychko about accentuated individuals.The subject of the article is to present some separate elements of the onymic picture of the world via vision of accentuated individuals, to outline the prospects for definition of the psycholinquistic onomastic as new onomastic trend, and estimate the prospects for development of this theory from the point view of new trends arising in the field of functioning of onyms. Special attention is drawn to the anyms used in the fiction and publicist texts of the Ukrainian classical writes (V. Vinnichenko ,P. Kulish , L. Ukrajinka, M. Kotsubynsky) and the regional writers of Zakarpattya (I. Chandei and F. Potushniak). It is pointed out that psychological information may be presented inherently by itself — by the form of onyms or adherently — by lexical environment. Herein the onyms are presented as they (1) become markers of linguo-psycho-accentuation provided they are used highly frequently what is specially visible in the potent text correlation, (2) manifest themselves potentially in the modeling expressive connotations in the relative context and (3) become sources for origination of new denotative contacts. Herein the examination carried out of а) anyms of titles, b) anyms of dedication c) anyms of pseudonyms as they are actualized within the context of hysteroidity, hyperthymism, depression, and paranoidness. It is proved that the anymic picture of the world of an accentuated individual is determined by his specific psychotype, while the prospective investigation is defined as requirement of development of new trend nominated as psycholinquistic anomastic, in particular , it is necessary to examine the specifics of modeling of relevant linguistic elements via prism of psychic processes.

Study on the C-E translation strategies of publicity texts from the perspective of HC and LC cultures

Study on the C-E translation strategies of publicity texts from the perspective of HC and LC cultures

Development of gerodietary meat products

The relevance of the presented research on the development of gerodietary meat products is due to the fact that the relative preferences shown by older people to various protein sources, including animal protein sources such as red meat and poultry, as well as alternative plant-based protein sources, have not yet been identified. The food choices of older adults have not been studied, nor have their preferences and willingness to pay for different carbon tags depending on the protein source. The purpose of the study is to consider the current state and prospects for the development of gerodietary meat products. This article is an exploratory attempt to describe potential pathways for the development of nutritionally balanced gerodietary meat products aimed at helping older adults maintain an active and healthy aging process. The object of the study is age-related changes in the consumption of meat products. Age undoubtedly affects thresholds for recognizing basic tastes, especially sweet and salty. In particular, higher threshold values for sucrose and sodium chloride were found among older people compared to young people. Higher taste recognition thresholds create a natural need to add sugar and salt to food. The research methodology was a qualitative content analysis of the collected material. At the first stage, the texts of publications devoted to the production of gerodietary meat products were read and re-read in their entirety, that is, the so-called naive reading was carried out. Then thoughts were recorded regarding the integrity and relatively important elements of the publications read, arising on the basis of impressions aroused under the influence of naive reading. Further, all parts of publications related to the purpose of researching gerodietary meat products were divided into approximately identical semantic units. Qualitative content analysis involved grouping gerodiet meat products by identifying common characteristics between them, according to production processes and ingredients. At the next stage, the semantic units were subject to codification, and a number of categories with subcategories arose. Finally, after all the texts of the publications had been read, the texts were compared with the results of the undertaken content analysis, which made it possible to verify the reality of the coverage of the content of the publication texts and codes by the selected categories and subcategories in full.

Media coverage of the impact of the war on gender segregation in the Ukrainian labor market

The article aims to outline the trends of gender professional segregation occurring in Ukraine during the military conflict. Materials and Methods. The research was carried out with the use of qualitative methods. A content analysis was chosen for this study. The material consists of online textual publications, which include interviews with managers, specialists, and employees of the State Employment Center. It also includes interviews in which women residing on the territory of Ukraine share their experiences of employment and work during the war. Results and Discussion. In Ukraine today, two factors operate in parallel. On the one hand, there is an urgent need to fill vacancies in professions that have traditionally been dominated by men. On the other hand, the financial situation of women is on the decline. Women are forced to rethink their gender identity in the family and in society because of financial difficulties and their inability to guarantee a minimum of financial stability for themselves and their families. This leads them to be willing to accept jobs with working conditions that are particularly harmful and difficult. Employment opportunities for women are increasing due to differentiated demand, which contributes to the reduction of horizontal gender segregation. One factor that impedes this process is the demand for professions traditionally considered women’s domains, which do not require basic skills, and for which demand increased during the war. These professions are mainly related to manufacturing and working specialties. Given that educated and skilled women occupy blue-collar jobs, we can expect vertical segregation to intensify during wartime, when gender differences are manifested in positions and roles with differing status or potential for advancement. In the area of state gender policy, Ukraine has business development initiatives that reduce the gender gap in women’s access to assets and capital to invest in profitable entrepreneurial industries. However, these initiatives only involve a limited number of women and cannot be associated with radical gender changes in society. At the same time, the positive aspects of reducing horizontal gender segregation observed in Ukraine during wartime may be negated by the lack of or insufficient incentives for the development of preschool education. Thus, there are few effective levers to overcome gender segregation in Ukraine in the short and medium term. Achieving gender equality in the labor market is practically declaratory. Conclusions. In the context of the wartime crisis, gender segregation is a significant issue with negative consequences. A market specifically for women’s labor is emerging, and the social status of women’s work is declining compared to pre-war times. This situation may reinforce societal stereotypes that view men as more suitable for leadership positions, potentially decreasing women’s motivation and career aspirations.

On the English translation of health and wellness tourism publicity texts in Panzhihua city from the perspective of eco-translatology

On the English translation of health and wellness tourism publicity texts in Panzhihua city from the perspective of eco-translatology

Fluoride Varnish Intervention for Caries Prevention in Resource-Limited African Settings- A review

Background: Fluoride may not be available to some children in African countries due to the non-use of fluoride containing toothpaste, parental perception and awareness of the benefits of fluoride in caries prevention and non-availability of fluoride in community and school water. Fluoride may also not be affordable for children of low socio-economic status in remote areas, slums areas and rural areas. Topical and systemic sources of fluoride, like fluoride drops, fluoride gel,fluoride solution, fluoride mouthrinses, fluoride tablets, and fluoride lozenges, may not be available in resource-poor countries. Method: An electronic literature search in Google Scholar, African journals online, Science direct and Google was done in August , 2023 using the Population, Concept and Context framework. Search terms and keywords were combined by Boolean operators. Two independent investigators screened titles, abstracts and accessible full texts of publications on fluoride varnish use among African children. Results: Full text was screened using inclusion criteria. Three articles were included as they were assessed to meet the aim of the review. They were hospital based and school-based studies with comparative, prospective, interventional, and randomized clinical trial and cluster-randomized controlled community trials, respectively Conclusion: Fluoride varnish can be an intervention for underserved children with white spot carious lesion in remote areas, slums areas and rural areas, and for non-cavitated carious lesions in resource poor settings. It is simple to use with simple armamentarium, More studies from diverse ethnic population in African countries will fill the gaps in knowledge. Update Dent. Coll. j: 2024; 14(1):28-30

Peculiarities of Functioning of Macaronisms in the Light of Language Integration (on the Example of German Publicistic Texts)

Peculiarities of Functioning of Macaronisms in the Light of Language Integration (on the Example of German Publicistic Texts)

Materializing the public sphere in American religious history

AbstractThis article reviews scholarship in American religious history around the concept of the public sphere. Considering that the public sphere was readily aligned with the productions of the printing press, ‘materializing’ surveys works that have relied upon, expanded, and critiqued print's centraility to early American religious public culture. Recent attention to materiality has also encouraged greater attention to contingencies, locality of circulation, and specificity of audiences in our studies of public texts that would trouble technological determinisms that readily aligned Protestant ascendance, secular modernity, and print publishing with democratization. The essay concludes with new questions regarding print culture, calls for greater multimedia approaches to our study of media objects, and posits the importance of critically evaluating what we count as public or private in our historical narratives about religious communities.

Deep Learning Based Hybrid Technique for Improved Summarization of Abstractive Text

Аbstrасt: From various source sentences, construct summary sentences by merging facts. The process of preserving information material and overall meaning while condensing it into a shorter representation is known as abstractive text summarization, or ATS. It takes a lot of effort and time for humans to manually summarise large textual publications. In this paper, we present an ATS framework (ATSDL) based on (Long Short-Term Memory-Convolutional Neural Network) LSTM- CNN that can generate new sentences by investigating semantic phrases, which are finer- grained fragments than sentences. ATSDL, in contrast to current abstraction- based methods, consists of two primary phases: the first extracts phrases from source sentences, and the second uses deep learning to produce text summaries. Experimental results on CNN and Daily Mail datasets show that our ATSDL framework outperforms the state-of-the-art models in terms of both syntactic structure and semantics, and achieves competitive results on manual linguistic quality evaluation. In this application hybrid model is giving better performance over other state of art techniques.

Methods of Automatic Analysis of Information Presentation Dynamics in Texts Based on Adaptable Dictionaries of Scientific Terms

The paper proposes a method for determining the dynamics of aspectual content of scientific texts. The problems arising in the automatic processing of scientific texts are discussed, approaches to the creation of a combined method of aspect-oriented analysis of scientific texts are proposed. The results of experiments of aspect analysis of scientific publications in the field of mathematics are given. The algorithm of aspect analysis is built on the basis of processing both the semantic domain graph formed as a result of automatic extraction of information from the text of the mathematical encyclopedia and the weighted semantic graph of the publication. Weighting functions for calculating the dependence of links between professional terms of the semantic domain graph are proposed. During the processing the text of a scientific publication, the semantic domain graph is transformed into the semantic graph of the publication, the two-phase processing algorithm of which forms semantic dependencies between text fragments.

Recognition of propaganda techniques in newspaper texts: Fusion of content and style analysis

Public texts aiming at reader manipulation for propaganda or disinformation purposes pose a significant threat to society. The ability to detect the presence of a specific manipulative technique in a text offers an informed warning to readers and guides them to carefully judge the actual statement.In this article, we address the problem of developing new models capable of analyzing newspaper articles for propagandistic features. We introduce a new large dataset of manipulative techniques obtained via gathering and human annotation of 8,646 newspaper articles in Czech, which represents one of the former Soviet influence area languages. The dataset allows both to train new methods to recognize propaganda and disinformation and offer a general comparable benchmark for the techniques. We evaluate the dataset against selected state-of-the-art machine learning approaches to provide high-performing baselines for detecting seventeen annotated manipulative techniques. We also present thorough measurements of inter-annotator agreements that approximate the difficulty level of each of the attributes.As a new finding, we propose a set of text style analysis features that lean on the assumption that each manipulation leads to a specific style pattern. We show that the style analysis improves the detection results for most of the manipulative techniques. The viability of the approach is also confirmed on the well-known QProp propaganda dataset, providing new state-of-the-art results.

Legitimate Transaction? Regulating Commercial International Marriage Brokers in South Korea

Marriages between South Korean men and women from less affluent Asian countries have been popular since the 1990s, and commercial international marriage brokers have played an important role in the trend. This article argues that the laws and regulations governing marriage brokers, such as Marriage Brokers Business Management Act (MBBMA) and consumer protection mechanisms, have reinforced the rights of citizen-husbands and legitimized claims from the men’s movement. As a result, the state’s regulation of commercial matchmaking endorses a form of commodified intimacy and protects the rights of male client-cum-“head of the family,” despite the consequences of commodifying the personhood of migrant women and legitimizing the violence of denying their personal autonomy. Data include public documents and policies from the Ministry of Gender Equality and Family, Korea Institute for Healthy Family, Korea Consumer Agency, Fair Trade Commission, and MBBMA. Analysis of these public texts reveals the legal and policy language that sanitizes and disguises unequal gender roles and discrimination against foreigners.