Text Words Research Articles

Gender stereotypes in physical education: state of the art and future perspectives in primary school

Background and Study Aim. Given the recent mandate by the Budget Law 2022 for compulsory two hours of physical education (PE) in IV and V classes of Italian primary schools, understanding the dynamics of gender stereotypes during movement activities becomes crucial. This review aims to summarize the scientific evidence of the gender gap in PE lessons and identify barriers to female participation in movement activities. Material and Methods. The methodology employed was a systematic literature review guided by the PRISMA 2020 guidelines. The literature search was conducted in April 2023, utilizing a range of databases including Web of Science and Scopus. The search strategy applied MeSH terms and text words, connected by AND: "gender stereotypes" OR "gender gap", "PE" OR "physical education" OR "school" OR "children". Additionally, relevant articles were manually selected from Google Scholar to supplement the database findings. The inclusion criteria were centered on studies within the school context. Only articles published in English within the time frame of 2012 to 2023 were considered. Exclusion criteria ruled out conference proceedings, literature reviews, articles published before 2012, and non-English language publications. Results. Thirteen items met the inclusion criteria. The main barriers included personal beliefs of pupils towards sporting activities, particularly highlighting concerns from the female gender. Other significant barriers were attitudes of teachers and the perpetuation of gender stereotypes in PE textbooks. Several interventions were conducted, primarily focused on co-educational methodologies. These interventions proved effective in dismantling some gender stereotypes. Conclusions. The results demonstrated the presence of gender stereotypes during PE lessons. There was a need to improve teacher training, which was perceived as inadequate to work on gender inequality from primary school onwards.

Are Metaphors Getting Lost? – The Usefulness of Linguistic-Poetic Analysis of Old Testament Poetic Texts for Theological Interpretation

This paper presents an interdisciplinary experiment. The core of the experiment is to examine the Hebrew poetic text of the Old Testament through a textual analysis of its textuality prior to theological interpretation and to ask why and which linguistic-literary solutions, i.e. poetic procedures, are used in the construction of meaning. On this basis, a research design can be created that asks how linguistic-poetic analysis can help in the exegesis of Old Testament poetic texts (or of any other textual genre). Poetics is about the production of meaning: all of our verbal utterances are made with some kind of poetics or speech strategy in mind – our communications are not formulated randomly. The linguistic analysis proposed here examines not only whether a word or phrase in a particular poetic text of the Hebrew Bible is written correctly or not but also the poetic role of that phrase, word, sentence, and grammatical or other structure in the larger textual unit (i.e. the poem) under study. Keywords: linguistic-poetic analysis, Walter Brueggemann, Robert Alter, trial metaphor, laboratory translation, metaphor, conceptual metaphor, background metaphor, context, Leningrad Codex, massoretes

Word embedding and classification methods and their effects on fake news detection

Natural language processing contains multiple methods of translating written text or spoken words into numerical information called word embeddings. Some of these embedding methods, such as Bag of Words, assume words are independent of one another. Other embedding methods, such as Bidirectional Encoder Representations from Transformers and Word2Vec, capture the relationship between words in various ways. In this paper, we are interested in comparing methods treating words as independent and methods capturing the relationship between words by looking at the effect these methods have on the classification of fake news. Using various classification methods, we compare the word embedding processes based on their effects on accuracy, precision, sensitivity, and specificity.

Self-training for handwritten word recognition and retrieval

Handwritten text recognition and Word Retrieval, also known as Word Spotting, are traditional problems in the document analysis community. While the use of increasingly large neural network architectures has led to a steady improvement of performances it comes with the drawback of requiring manually annotated training data. This poses a tremendous problem considering their application to new document collections. To overcome this drawback, we propose a self-training approach that allows to train state-of-the-art models for HTR and word spotting. Self-training is a common technique in semi-supervised learning and usually relies on a small labeled dataset and training on pseudo-labels generated by an initial model. In this work, we show that it is feasible to train models on synthetic data that are sufficiently performant to serve as initial models for self-training. Therefore, the proposed training method does not rely on any manually annotated samples. We further investigate visual and language properties of the synthetic datasets. In order to improve performance and robustness of the self-training approach, we propose different confidence measures for both models that allow to identify and remove erroneous pseudo-labels. The presented training approach clearly outperforms other learning-free methods or adaptation strategies under the absence of manually annotated data.

Health information-seeking on Reddit, by people who use opioids

Introduction. In the most recent year that data is available, 101,035 people died from drug overdoses in the United States. For people who use drugs, obtaining treatment remains a significant barrier due to issues of fear, stigmatisation, and illegality. Some people turn to the anonymous social media site, Reddit, for obtaining health and harm reduction information. Method. In this study we analysed 2,748 health-related posts on the subreddit r/opiates over a three-month period. Analysis. Using a thematic analysis grounded in social constructivism, we categorised the data to determine the most frequent types of health questions asked by people who use opioids. We then used the text analysis software Linguistic Inquiry and Word Count to determine the emotional content of the posts. Results. Most of the posts were asking about harm reduction strategies and methods to reduce or quit opioid use. Conclusion. The text analysis demonstrated evidence of Foucault’s discourse theory. People who use opioids need more information on harm reduction strategies, and especially safely administering and withdrawing from them.

TEMPLE OF THE SUN BY I.A. BUNIN AND SYRIAN STORIES BY S.S. KONDURUSHKIN: INTERSECTION POINTS

The article is devoted to the personal and creative connections between Ivan Bunin and the forgotten writer Stepan Semenovich Kondurushkin (1874-1919). Known cases of communication between writers are described in detail: correspondence, meetings, as well as their reviews of each other’s work. From 1898 to 1903 Kondurushkin worked as a teacher in the Middle East at the invitation of the Imperial Orthodox Palestinian Society. In 1901-1902 Kondurushkin began to write the first journalistic and literary texts about the East. Bunin traveled to the East in 1903, 1907, 1910-1911 and 1913, to publish the first sketches of the future book Temple of the Sun - since 1908. Both authors carefully read each other’s works. The article compares the two-volume collection of stories by Kondurushkin Syrian Stories (1908-1910) and Bunin’s Temple of the Sun (1917). Both authors speak about the East in the words of sacred texts and model a certain mythological space, where they are not just observers, but also participants in the process - they experience the myth together with the acting heroes, and are also endowed with the ability to act within the myth. In addition, both authors are characterized by the exploitation of the metaphor ‘East is the grave’, in which the problem of ‘time’ as a category is leveled and reduced solely to understanding everything in the category of ‘space’. The history of the East after the time of myth does not exist for the writers, and therefore the East is ‘buried’ under the slabs of sacred texts. Special attention is paid to the representation of the image of Moses.

Incidence, Risk, and Clinical Course of New-Onset Diabetes in Long COVID: Protocol for a Systematic Review and Meta-Analysis of Cohort Studies.

COVID-19, an infectious disease pandemic, affected millions of people globally, resulting in high morbidity and mortality. Causing further concern, significant proportions of COVID-19 survivors endure the lingering health effects of SARS-CoV-2, the pathogen that causes COVID-19. One of the diseases manifesting as a postacute sequela of COVID-19 (also known as "long COVID") is new-onset diabetes. The aim of this study is to examine the incidence of new-onset diabetes in patients with long COVID and assess the excess risk compared with individuals who tested negative for COVID-19. The study also aims to estimate the population-attributable fraction for COVID-19 as a risk factor for new-onset diabetes in long COVID and investigate the clinical course of new-onset diabetes cases. This is a protocol for a systematic review and meta-analysis. PubMed, MEDLINE, Embase, Scopus, and Web of Science databases will be systematically searched to identify articles published between December 2019 and July 2024. A comprehensive search strategy for each database will be developed using a combination of Medical Subject Headings terms, subject headings, and text words to identify eligible studies. Cohort studies and randomized controlled trials (only control arms) involving patients with COVID-19 of any age, with follow-up data on new-onset diabetes in long COVID, will be considered for inclusion. Controls will comprise individuals who tested negative for COVID-19, with or without other respiratory tract infections. Three independent reviewers (AST, NB, and TT) will perform article selection, data extraction, and quality assessment of the studies. A fourth reviewer (ST) will review the identified studies for final inclusion in the analysis. The random-effects DerSimonian-Laird models will be used to estimate the pooled incidence proportion (%), incidence rate of diabetes (per 1000 person-years), and risk ratio (with 95% CIs) for diabetes incidence. A total of 1972 articles were identified through the initial search conducted in August 2023. After excluding duplicates, conducting title and abstract screening, and completing full-text reviews, 41 articles were found to be eligible for inclusion. The search will be updated in July 2024. Currently, data extraction is underway, and the meta-analysis is expected to be completed in August 2024. Publication of the study findings is anticipated by the end of 2024. The study findings should provide valuable insights to inform both clinical practice and public health policies regarding the effective management of new-onset diabetes in patients with long COVID. DERR1-10.2196/54853.

Deciphering Words on Clothing in Al-Ṣaḥīḥayn for Answering Misconception on Forbidden Colours for Men in “Clothing and Colours in Early Islam” by Hadas Hirsch

The discourse regarding clothing in Islam regularly emphasizes on divine dress code differentiates between the permissible and the forbidden, as enshrined in Islamic scripture. Possibly, a misconception could prevail within attempts by outsiders of the fraternity of scripture studies. For instance, there is a claim in an English paper “Clothing and Colours in Early Islam: Adornment (Aesthetics), Symbolism and Differentiation” by Hadas Hirsch states that Muslim men are forbidden from wearing yellow, red and colourful clothes. To answer the misconception, this study focuses on hadiths in the chapters on clothing in al-Ṣaḥīḥayn. This study employs a qualitative methodology through content analysis on the paper and contextual analysis on the culled chapters. Ultimately, this study identifies the argument presented by Hirsch and then finds narrations on the mentioned colours for men in the culled chapters. Based on the narrations, these colours are allowed for men since they are not performing pilgrimage ritual and their red dress are not of safflower-based dye. Indeed, the false claim lies in dependence on insufficient texts besides the hindrance in construing archaic words in text of hadith. Hereby, this study stresses on the conveying of teaching from hadith into other languages, especially English should be made by its scholarly fraternity in hadith which can reveal sufficient array of narrations for each topic. In addition, the text which has its Arabic language root back to over fourteen centuries is understandable in the hands of scholars in the field of hadith and Islamic scripture.

Positive psychology interventions in patients with prostate cancer: A systematic review.

e17005 Background: Prostate cancer is the most common malignancy in men and often results in psychiatric symptoms due to the direct disease effects, hormonal treatments, functional losses, and psychological responses of patients to the cancer. Positive psychology interventions have shown promise in alleviating psychological symptoms in patients with chronic diseases but are infrequently studied in patients with prostate cancer. Therefore, our systematic review aimed to examine the benefits of positive psychology interventions for patients with prostate cancer. Methods: Using PRISMA guidelines, a systematic literature search was conducted using the Medline, PubMed/Medline, and PsycInfo databases using a combination of MeSH terms and free text words, including publications up to November 2023. Studies were eligible if they included at least one positive psychology therapy intervention and the title or abstract mentioned the inclusion of patients with prostate cancer. Two individuals independently reviewed reports identified by the search to meet the above criteria and performed a quality assessment scale of studies based on standardized criteria that were adapted from those used in prior systematic reviews. The study was pre-registered on the Open Science Framework (OSF) repository. Results: The database searches yielded 1244 initial studies, 10 of which met inclusion criteria. Of the 10 included studies, 2 were randomized clinical trials, 2 were pilot feasibility trials, 3 were single-arm interventional studies, and 3 were cross-sectional studies. Manuscripts focused on older adults, with reported mean ages ranging from 54.5 to 72.0. Positive psychology interventions consisted of mindfulness-based therapies, meditation, hope and resilience therapies, and well-being therapies. Most studies showed a positive effect on improving outcomes for patients with early to advanced stage prostate cancers, including psychological distress, mood disorders, anxiety, quality of life, happiness, and life satisfaction. However, most of the studies were limited by small sample size, qualitative findings, loss to follow-up, and observational data. Most studies also excluded patients with severe psychiatric disorders, who may potentially benefit most from these interventions. Conclusions: This systematic review demonstrates that positive psychology approaches may have benefit in patients with prostate cancer. However, further larger prospective studies and clinical trials are needed to determine whether these interventions have proven benefit in this understudied population.

Does pyrethroid exposure lower human semen quality? a systematic review and meta-analysis.

Background: Pyrethroids are natural organic compounds extracted from flowers of pyrethrums and commonly used as domestic and commercial insecticides. Although it is effective in insect and parasitic control, its associated toxicity, including spermotoxicity, remains a challenge globally. Currently, the available reports on the effect of pyrethroids on semen quality are conflicting, hence an evaluation of its detrimental effect is pertinent. This study conducts a detailed systematic review and meta-analysis of the effects of pyrethroids on sperm quality. Materials and methods: The present study was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Using a pre-defined strategic protocol, an internet search was done using combined text words. The criteria for eligibility were selected based on Population, Exposure, Comparator, Outcome, and Study Designs (PECO) framework, and relevant data were collected. Appraisal was done using The Office of Health Assessment and Translation (OHAT) tool for the evaluation of the Risk of Bias and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group guidelines for the certainty of evidence. A quantitative meta-analysis was conducted with the Review Manager (RevMan). Results: Only 12 out of the 4, 050 studies screened were eligible for inclusion in this study. The eligible studies were from China (4), Japan (3), Poland (3), and United States (2). All the eligible studies were cross-sectional. A total of 2, 050 male subjects were included in the meta-analysis. Pyrethroid exposure significantly reduced sperm motility. Region-stratified subgroup analyses revealed that pyrethroid significantly reduced sperm motility among men in Poland and United States, and decreased sperm count among men in Japan. Pyrethroid exposure also reduced sperm concentration among men in Poland but increased sperm concentration among men in the United States. Conclusion: Although the study revealed inconsistent evidence on the detrimental effect of pyrethroids on semen quality, the findings showed that pyrethroids have deleterious potentials on sperm motility, count, and concentration. Studies focusing on the assessment of semen quality in pyrethroid-exposed men, especially at specific varying levels of exposure, and employing prospective cohort studies or controlled cross-sectional designs are recommended.

Experiences and Views of Young People and Health Care Professionals of Using Social Media to Self-Manage Type 1 Diabetes Mellitus: Thematic Synthesis of Qualitative Studies.

Social media have shown the potential to support type 1 diabetes self-management by providing informational, emotional, and peer-to-peer support. However, the perceptions of young people and health care professionals' (HCPs) toward the use of social media for type 1 diabetes self-management have not been systematically reviewed. The aim of this study is to explore and summarize the experiences and views of young people with type 1 diabetes and their HCPs on using social media for self-management across qualitative findings. We searched MEDLINE, Embase, PsycINFO, and CINAHL from 2012 to 2023 using Medical Subject Heading terms and text words related to type 1 diabetes and social media. We screened and selected the studies according to the inclusion and exclusion criteria. We quality appraised and characterized the included studies and conducted a thematic synthesis. We included 11 studies in our synthesis. A total of 9 of them were qualitative and 2 were mixed methods studies. Ten focused on young people with type 1 diabetes and 1 on HCPs. All used content analysis and were of moderate to high quality. Thirteen descriptive themes were yielded by our thematic synthesis, contributing to five analytic themes: (1) differences in how young people interact with social media, (2) characteristics of social media platforms that influence their use and uptake for type 1 diabetes self-management, (3) social media as a source of information, (4) impact on young people's coping and emotional well-being, and (5) impact on support from and relationships with HCPs and services. The synthesis suggests that we should consider leveraging social media's peer support capabilities to augment the traditional services for young people with type 1 diabetes. However, the patients may have privacy concerns about HCPs' involvement in their online activities. This warrants an update of existing guidelines to help young people use social media safely for self-managing their diabetes.

Assessing the Content and Effect of Web-Based Decision Aids for Postmastectomy Breast Reconstruction: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Web-based decision aids have been shown to have a positive effect when used to improve the quality of decision-making for women facing postmastectomy breast reconstruction (PMBR). However, the existing findings regarding these interventions are still incongruent, and the overall effect is unclear. We aimed to assess the content of web-based decision aids and its impact on decision-related outcomes (ie, decision conflict, decision regret, informed choice, and knowledge), psychological-related outcomes (ie, satisfaction and anxiety), and surgical decision-making in women facing PMBR. This systematic review and meta-analysis followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 6 databases, PubMed, Embase, Cochrane Library, CINAHL, PsycINFO, and Web of Science Core Collection, were searched starting at the time of establishment of the databases to May 2023, and an updated search was conducted on April 1, 2024. MeSH (Medical Subject Headings) terms and text words were used. The Cochrane Risk of Bias Tool for randomized controlled trials was used to assess the risk of bias. The certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation approach. In total, 7 studies included 579 women and were published between 2008 and 2023, and the sample size in each study ranged from 26 to 222. The results showed that web-based decision aids used audio and video to present the pros and cons of PMBR versus no PMBR, implants versus flaps, and immediate versus delayed PMBR and the appearance and feel of the PMBR results and the expected recovery time with photographs of actual patients. Web-based decision aids help improve PMBR knowledge, decisional conflict (mean difference [MD]=-5.43, 95% CI -8.87 to -1.99; P=.002), and satisfaction (standardized MD=0.48, 95% CI 0.00 to 0.95; P=.05) but have no effect on informed choice (MD=-2.80, 95% CI -8.54 to 2.94; P=.34), decision regret (MD=-1.55, 95% CI -6.00 to 2.90 P=.49), or anxiety (standardized MD=0.04, 95% CI -0.50 to 0.58; P=.88). The overall Grading of Recommendations, Assessment, Development, and Evaluation quality of the evidence was low. The findings suggest that the web-based decision aids provide a modern, low-cost, and high dissemination rate effective method to promote the improved quality of decision-making in women undergoing PMBR. PROSPERO CRD42023450496; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=450496.

A Contrastive Analysis of selected English and Urdu translations: The story of Adam and Eve in the Holy Qur’an

The objective of this study is to examine the differences and similarities in the meanings and concepts of the translated story of Adam and Eve ?????? ????? in English and Urdu languages. The study focuses on the translation procedures utilized by the translators and traces interference in the Qur’an’s story of Adam and Eve as it is translated into English and Urdu languages. The study delimits the verses of the story of Adam and Eve and utilizes Eugene Albert Nida’s equivalence translation theory (1964) to identify, describe, and explain the linguistic components of the story of Adam and Eve in English and Urdu languages. The study discovers that there are morphological and word omissions and additions, syntactic and semantic shifts in the story of Adam and Eve in English and Urdu languages. The study observes English and Urdu language translators construct the meanings and concepts differently with the help of different choices of words in the target texts (TTs) and with the utilization of the translation procedures and interfere in the story of Adam and Eve in English and Urdu languages.

Linguistic Features of Secondary School Writing: Can Natural Language Processing Shine a Light on Differences by Sex, English Language Status, or Higher Scoring Essays?

This article provides three major contributions to the literature: we provide granular information on the development of student argumentative writing across secondary school; we replicate the MacArthur et al. model of Natural Language Processing (NLP) writing features that predict quality with a younger group of students; and we are able to examine the differences for students across language status. In our study, we sought to find the average levels of text length, cohesion, connectives, syntactic complexity, and word-level complexity in this sample across Grades 7-12 by sex, by English learner status, and for essays scoring above and below the median holistic score. Mean levels of variables by grade suggest a developmental progression with respect to text length, with the text length increasing with grade level, but the other variables in the model were fairly stable. Sex did not seem to affect the model in meaningful ways beyond the increased fluency of women writers. We saw text length and word level differences between initially designated and redesignated bilingual students compared to their English-only peers. Finally, we see that the model works better with our higher scoring essays and is less effective explaining the lower scoring essays.

MiBee Braille Application: An Alternative Accessibility Literacy for Totally Blind Students at Inclusive School

The literacy ability of totally-blind students is still low. This is allegedly due to limited and conventional access of media. Alternative use of accessible media becomes an urgent thing to improve literacy ability for totally-blind students. The purpose of this research is to describe alternatively accessible media such as MiBee Braille for improving totally-blind students’ literacy ability. The method used is descriptive method with literature study analysis and supported by an observation one of totally-blind student. The result of this research is that the application can be used to write Braille with six-dot typing system, ten-finger typing system, and converts Ms. Word text into Braille text. Six-dot typing system makes totally-blind students easier to write other Braille symbols that cannot be found in Latin symbols.

On the Unexpected Abilities of Large Language Models

Large Language Models (LLMs) are capable of displaying a wide range of abilities that are not directly connected with the task for which they are trained: predicting the next words of human-written texts. In this article, I review recent research investigating the cognitive abilities developed by LLMs and their relation to human cognition. I discuss the nature of the indirect process that leads to the acquisition of these cognitive abilities, their relation to other indirect processes, and the implications for the acquisition of integrated abilities. Moreover, I propose the factors that enable the development of abilities that are related only very indirectly to the proximal objective of the training task. Finally, I discuss whether the full set of capabilities that LLMs could possibly develop is predictable.

Measuring Phonological Complexity Using the Perfect Rhymes Dictionary (PeRDict)

This paper examines links between perfect rhymes and text readability and decoding using a measure of English rhymes called the Perfect Rhymes Dictionary (PeRDict). PeRDict is based on the Carnegie Mellon University Pronouncing Dictionary (the CMUdict) and provides rhyme counts for ∼48,000 words in English and for the most frequent 1,000, 2,500, 5,000, and 10,000 rhymes within the dictionary as measured by the Corpus of American English (COCA). Two assessments of PeRDICT are presented. The first examines the strength of rhyme features to predict text readability in conjunction with word neighborhood density effects reported by the English Lexicon Project (ELP) and a word frequency measure. The second examines the strength of rhyme features to predict word decoding in conjunction with word neighborhood effects and a word frequency measure. In both assessments, the number of rhymes per word was predictive of text or word processing beyond features related to word neighborhood effects and word frequency. Word rhyme counts performed more strongly in predicting text processing versus word processing.

Shared Decision-Making Training in Family Medicine Residency: A Scoping Review

Shared decisions, in which physicians and patients share their agendas and make clinical decisions together, are optimal for patient-centered care. Shared decision-making (SDM) training in family medicine residency is always provided, but the best training approach for improving clinical practice is unclear. This review aims to identify the scope of the literature on SDM training in family medicine residency to better understand the opportunities for training in this area. Four databases (Embase, MEDLINE, Scopus, and Web of Science) were searched from their inception to November 2022. The search was limited to English language and text words for the following four components: (1) family medicine, (2) residency, (3) SDM, and (4) training. Of the 522 unique articles, six studies were included for data extraction and synthesis. Four studies referenced three training programs that included SDM and disease- or condition-specific issues. These programs showed positive effects on family medicine residents’ knowledge, skills, and willingness to engage in SDM. Two studies outlined the requirements for SDM training in postgraduate medical education at the national level, and detailed the educational needs of family medicine residents. Purposeful SDM training during family medicine residency improves residents’ knowledge, skills, and willingness to engage in SDM. Future studies should explore the effects of SDM training on clinical practice and patient care.

Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models

Pulmonary nodules and nodule characteristics are important indicators of lung nodule malignancy. However, nodule information is often documented as free text in clinical narratives such as radiology reports in electronic health record systems. Natural language processing (NLP) is the key technology to extract and standardize patient information from radiology reports into structured data elements. This study aimed to develop an NLP system using state-of-the-art transformer models to extract pulmonary nodules and associated nodule characteristics from radiology reports. We identified a cohort of 3080 patients who underwent LDCT at the University of Florida health system and collected their radiology reports. We manually annotated 394 reports as the gold standard. We explored eight pretrained transformer models from three transformer architectures including bidirectional encoder representations from transformers (BERT), robustly optimized BERT approach (RoBERTa), and A Lite BERT (ALBERT), for clinical concept extraction, relation identification, and negation detection. We examined general transformer models pretrained using general English corpora, transformer models fine-tuned using a clinical corpus, and a large clinical transformer model, GatorTron, which was trained from scratch using 90 billion words of clinical text. We compared transformer models with two baseline models including a recurrent neural network implemented using bidirectional long short-term memory with a conditional random fields layer and support vector machines. RoBERTa-mimic achieved the best F1-score of 0.9279 for nodule concept and nodule characteristics extraction. ALBERT-base and GatorTron achieved the best F1-score of 0.9737 in linking nodule characteristics to pulmonary nodules. Seven out of eight transformers achieved the best F1-score of 1.0000 for negation detection. Our end-to-end system achieved an overall F1-score of 0.8869. This study demonstrated the advantage of state-of-the-art transformer models for pulmonary nodule information extraction from radiology reports.

ESG performance and financial distress prediction of energy enterprises

In the current drive to cut global carbon emissions, energy companies are facing intensifying policy pressures. This study investigates the impact of ESG (Environmental, Social, Governance) performance on the risk of corporate financial distress in the energy sector. Using a tripartite methodology of sentiment, topic, and word frequency analysis, we measure the characteristics of texts of ESG reports. These ESG-related textual variables, combined with company carbon performance and other variables, are integrated into the CatBoost algorithm to predict financial distress. The empirical findings indicate that text words, topics and sentiments derived from ESG reports prove to be effective in forecasting financial distress in energy companies. Additionally, the CatBoost used in this study surpasses other models such as logistic regression and decision trees in predictive capability. This study demonstrates how incorporating textual analysis of ESG reports enhances the predictive accuracy for financial distress in energy companies, highlighting the important role of comprehensive ESG evaluation in financial risk assessment.