The current state of MRI-based radiomics in pituitary adenoma: promising but challenging.

In the clinical diagnosis and treatment of pituitary adenomas, MRI plays a crucial role. However, traditional manual interpretations are plagued by inter-observer variability and limitations in recognizing details. Radiomics, based on MRI, facilitates quantitative analysis by extracting high-throughput data from images. This approach elucidates correlations between imaging features and pituitary tumor characteristics, thereby establishing imaging biomarkers. Recent studies have demonstrated the extensive application of radiomics in differential diagnosis, subtype identification, consistency evaluation, invasiveness assessment, and treatment response in pituitary adenomas. This review succinctly presents the general workflow of radiomics, reviews pertinent literature with a summary table, and provides a comparative analysis with traditional methods. We further elucidate the connections between radiological features and biological findings in the field of pituitary adenoma. While promising, the clinical application of radiomics still has a considerable distance to traverse, considering the issues with reproducibility of imaging features and the significant heterogeneity in pituitary adenoma patients.

The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes.

Background: Collaborative documentation (CD) is a behavioral health practice involving shared writing of clinic visit notes by providers and consumers. Despite widespread dissemination of CD, research on its effectiveness or impact on person-centered care (PCC) has been limited. Principles of PCC planning, a recovery-based approach to service planning that operationalizes PCC, can inform the measurement of person-centeredness within clinical documentation. Objective: This study aims to use the clinical informatics approach of natural language processing (NLP) to examine the impact of CD on person-centeredness in clinic visit notes. Using a dictionary-based approach, this study conducts a textual analysis of clinic notes from a community mental health center before and after staff were trained in CD. Methods: This study used visit notes (n=1981) from 10 providers in a community mental health center 6 months before and after training in CD. LIWC-22 was used to assess all notes using the Linguistic Inquiry and Word Count (LIWC) dictionary, which categorizes over 5000 linguistic and psychological words. Twelve LIWC categories were selected and mapped onto PCC planning principles through the consensus of 3 domain experts. The LIWC-22 contextualizer was used to extract sentence fragments from notes corresponding to LIWC categories. Then, fixed-effects modeling was used to identify differences in notes before and after CD training while accounting for nesting within the provider. Results: Sentence fragments identified by the contextualizing process illustrated how visit notes demonstrated PCC. The fixed effects analysis found a significant positive shift toward person-centeredness; this was observed in 6 of the selected LIWC categories post CD. Specifically, there was a notable increase in words associated with achievement (ß=.774, P<.001), power (ß=.831, P<.001), money (ß=.204, P<.001), physical health (ß=.427, P=.03), while leisure words decreased (ß=-.166, P=.002). Conclusions: By using a dictionary-based approach, the study identified how CD might influence the integration of PCC principles within clinical notes. Although the results were mixed, the findings highlight the potential effectiveness of CD in enhancing person-centeredness in clinic notes. By leveraging NLP techniques, this research illuminated the value of narrative clinical notes in assessing the quality of care in behavioral health contexts. These findings underscore the promise of NLP for quality assurance in health care settings and emphasize the need for refining algorithms to more accurately measure PCC.

The topography of thought.

Whether speaking, writing, or thinking, almost everything humans do involves language. But can the semantic structure behind how people express their ideas shed light on their future success? Natural language processing of over 40,000 college application essays finds that students whose writing covers more semantic ground, while moving more slowly (i.e. moving between more semantically similar ideas), end up doing better academically (i.e. have a higher college grade point average). These relationships hold controlling for dozens of other factors (e.g. SAT score, parents' education, and essay content), suggesting that essay topography encodes information that goes beyond family background. Overall, this work sheds light on how language reflects thought, demonstrates that how people express themselves can provide insight into their future success, and provides a systematic, scalable, and objective method for quantifying the topography of thought.

Equivalent sentiment measures for cross-language analysis of corporate communications.

This paper presents a technique for sentiment measurement in many languages. The method allows researchers to efficiently analyze corporate documents, management reports, and financial statements using python. When the texts are written in many languages, the method extracts equivalent cross-linguistic sentiment features that can be used for statistical analysis or machine learning. We use Open Multilingual WordNet, a large lexicon organizing words into semantic groups, as the knowledge base about word equivalence in more than 200 languages. We experiment with a parallel English-French corpus and find that our senitment measures across the two languages are comparable. The method produces a consistent classification of positive and negative texts in two languages, and sentiment measure values correlate. The paper provides a detailed account of the method and python code, So that it can be applied to other languages, text mining, quantitative communication studies, and management research.•Method to create equivalent sentiment measures in multiple languages•Based on established lexicons and WordNet•Validated for English and French.

Inter-sexual Mate Competition in Humans: A Historical Example from Seventeenth Century Portugal.

Inter-sexual mate competition occurs any time opposite-sex individuals simultaneously seek to acquire or maintain exclusive access to the same sexual partner. This underappreciated form of mate competition has been anecdotally documented in several avian and mammalian species, and systematically described among Japanese macaques and humans. Here, we extend the concept of inter-sexual mate competition by reassessing a remarkable series of Portuguese letters, penned in 1664 and later discovered and translated by Mott and Assunção (J Homosex 16:91-104, 1989). The letters comprise one side of a correspondence between two males, former lovers who were scrutinized by the Portuguese Inquisition. After ending the relationship, the recipient of the letters was betrothed to a woman, which provoked a jealous response from his jilted male lover and pleas to reunite. We argue that the letters portray a prolonged sequence of inter-sexual mate competition in which a male and female competitor vied for the same man. An established taxonomy of mate competition tactics was applied to the behavior of both competitors illustrating many parallels with contemporary examples of inter-sexual mate competition. Through this comparison, we show that modern mate competition taxonomies can be fruitfully applied to historical texts and that inter-sexual mate competition occurred hundreds of years before the present. Other examples of inter-sexual mate competition are likely to exist in the historical record, providing a rich source of scientific information if appropriate theoretical frameworks are employed. Indeed, any time individuals are attracted to sexual partners who behave in a bisexual manner, then inter-sexual mate competition can ensue with members of the other sex.

Firm-level carbon risk perception and ESG performance.

In a sustainable economy, each firm perceives different levels of carbon risk, but there are few studies on the relationship between a firm's carbon risk perception and Environmental, Social, and Governance (ESG) performance. This paper examines the impact of firm-level carbon risk perception on ESG performance using Chinese A-share listed firms during 2011-2020. We find a positive relationship between firm-level perception of carbon risk and firm ESG performance. Further analysis shows that analyst coverage and media attention exert a substantial moderating effect on the link between carbon risk perception and ESG performance. We identify three channels through which carbon risk perception affects ESG performance. First, rising carbon risk perception enables firms to take measures to reduce pollutants and greenhouse gas emissions and increases environmental (E) scores. Second, this perception encourages firms to take responsibility for social employment and increases social (S) scores. Finally, it improves firm sustainable governance and further increases governance (G) scores. Our research has an important guiding role in promoting firm ESG practice.

Textual Analysis of Classical Prescription Yangweitang Based on Ancient Literature / 中国实验方剂学杂志

The classical prescription Yangweitang， derived from Zhengzhi Zhunsheng， is specialized in treating syndromes of chill and fever due to exogenous pathogens， inner-cooling， and malaria， and it has been included in the Catalogue of Ancient Classical Formulas （the First Batch） published by the National Administration of Traditional Chinese Medicine （TCM） in 2018. Through bibliographical research， the relevant ancient books and modern documents were systematically sorted out， and it was found that there were many prescriptions related to the Yangweitang from Zhengzhi Zhunsheng. They were interwoven with Yangweitang from Zhengzhi Zhunsheng and widely used in clinical practice. In order to clarify their history and evolution， this paper combed the historical origin of Yangweitang and its related prescriptions and conducted textual analysis on key information such as semantic composition， herb origin， processing method， and efficacy. A total of 896 pieces of data on Yangweitang from Zhengzhi Zhunsheng were collected. 26 pieces of effective data were included after the screening， involving 17 ancient TCM books. Then， a total of 28 pieces of data on prescriptions related to the Yangweitang from Zhengzhi Zhunsheng were included， involving 23 ancient TCM books for reference. The textual analysis showed that Yangweitang originated from the Renshen Yangweitang recorded in Taiping Huimin Heji Jufang in the Song dynasty. Based on the original formula， medical experts from later generations have modified it into many different versions. A comparative analysis showed that Yangweitang from different generations had similar compositions， and the herb origin and processing method were basically clear. The recommended prescriptions are as follows： 37.3 g of Pinelliae Rhizoma Praeparatum Cum Alumine， Magnoliae Officinalis Cortex（fried with ginger juice）， and frying with rice water Atractlodis Rhizoma， 27.98 g of Citri Exocarpium Rubrum， 18.65 g of Pogostemon cablin leaf， Tsaoko Fructus， Poria， and Ginseng Radix et Rhizoma， and 9.33 g of Glycyrrhizae Radix et Rhizoma. They could be ground into a coarse powder， with 14.92 g for every dose， and they could be orally taken after being decocted with 450 mL of water， 7 g of fresh ginger， and 2 g of Mume Fructus to 270 mL in warm conditions. Yangweitang from Zhengzhi Zhunsheng has the effect of warming the middle and releasing the external， and it can treat many syndromes including spleen and stomach disharmony caused by chill and fever due to exogenous pathogens and inner-cooling， as well as all kinds of malaria. Modern clinical applications mainly focus on chronic atrophic gastritis and other digestive system diseases.

"You'd be Right to Indulge Some Skepticism": Trust-building Strategies in Future-oriented News Discourse.

This paper explores trust-building strategies in future-oriented news discourse, marked by a high degree of uncertainty. While current research mainly focuses on audiences' perceptions of news credibility, this study addresses news trust from a production standpoint. We examine the trust-building efforts of media actors, focusing on their discursive labor within the context of election projections. Drawing on rich data from five election rounds in Israel and the US, we qualitatively analyzed 400 news texts and 400 tweets that were produced by 20 US and 20 Israeli media actors. This textual analysis was supplemented by 10 in-depth interviews with Israeli journalists. Our findings demonstrate three types of journalistic trust-building rhetoric in election coverage: facticity, authority, and transparency. These strategies result in a two-fold form of trust, which re-affirms traditional notions of accuracy and validity, while also challenging the ability of newspersons to obtain them in contemporary political and media cultures. Overall, these strategies hold unique opportunities and challenges for sustaining public trust in journalism and illuminate the complex communicative labor involved in building trust with news audiences. Our findings also highlight the importance of studying trust not only in relation to the past and the present, but also in future-oriented discourse.

Interdisciplinary college curriculum and its labor market implications.

This article sheds light on how to capture knowledge integration dynamics in college course content, improves and enriches the definition and measurement of interdisciplinarity, and expands the scope of research on the benefits of interdisciplinarity to postcollege outcomes. We distinguish between what higher education institutions claim regarding interdisciplinarity and what they appear to actually do. We focus on the core academic element of student experience-the courses they take, develop a text-based semantic measure of interdisciplinarity in college curriculum, and test its relationship to average earnings of graduates from different types of schools of higher education. We observe that greater exposure to interdisciplinarity-especially for science majors-is associated with increased earnings after college graduation.

Corporate digital transformation and strategic investments of construction industry in China.

Along with industrial revolution and upgrading technologies, all industries are changing their tradition ways of operation and management. However, the expanding construction industry is way behind this technological transformation. Traditional ways of design and operation have become obstacles in its transforming process. Construction industry has played indispensable role in China's economic growth for past decades, but now it should advance with the times. Recently, industrial enterprises have begun to adopt new concepts like digital construction and parametric design. But there still lacks evaluation on effectiveness of digital reform on construction enterprises. Therefore, this paper takes advantage of 2007-2018 panel data of construction industry in China, applies textual analysis to measure digital reform, and empirically testifies the effect of digital reform on strategic investments of construction enterprises. Results show that digital reform significantly increases corporate strategic investments, including R&D inputs and innovation outputs. This paper also discloses vital mechanism behind, namely, management foresight. Besides, we show that effect is stronger in districts with healthier relationships between enterprises and local governments. Corporate competence and future potential are also strengthened consequently. This paper provides empirical evidence about effect of digital reform on construction industry, and points out a possible direction for further industrial reform.

Quantitative Textual Analysis as a means to explore corporate interests in food safety.

The growing body of scholarship on the commercial determinants of health has, so far, mostly employed qualitative methods but this is now being complemented by a small, yet growing, corpus of quantitative studies. We illustrate the use of one such method, quantitative text analysis (QTA), in a case study of submissions to a public consultation on a draft scientific opinion by the European Food Safety Authority on the chemical acrylamide, demonstrating how this method can be used and insights that might be drawn from it. We use Wordscores as one example of QTA to illuminate the diverse positions taken by actors submitting comments and then assess whether the final policy documents moved towards or away from the positions taken by different stakeholders. We find a broadly uniform position among the public health community, opposed to acrylamide, contrasting with industry positions that were not monolithic. Some firms recommended major amendments to the guidance, largely reflecting the impact on their practices, while policy innovators seeking ways to reduce acrylamide in foods aligned with the public health community. We also find no clear movement in the policy guidance, likely because most submissions supported the draft document. Many governments are required to conduct public consultations, some attracting enormous numbers of responses, with little guidance on how best to synthesise the responses so the default position is often a count of those for and against. We argue that QTA, primarily a research tool, might usefully be applied in analysing public consultation responses to understand better the positions taken by different actors.

Dematerialized participation challenges: Methods and practices for online focus groups.

This study explores the limitations and benefits of different approaches to conducting online focus groups and illustrates an online focus group protocol used within the Value for Schools project in Italy. According to the project evaluation design, 13 online focus groups were organized, with the participation of 101 teachers and 37 school principals. The protocol setup, incorporation, and reorganization of the indications have been discussed in the literature, addressing the methodological and practical issues, such as the selection of participants and preliminary communication with them; the web conference platform (Zoom Business); timing, as well as access times and mode; the roles of the researchers involved (moderator, co-host technical assistant, co-host-observer, co-host-animator) and their integration spaces; technological support; and animation tools. The recording and transcription tools and subsequent analysis of the textual corpus are presented. Finally, the authors discuss the validation and reliability of online focus group protocols.

The Canadian Landscape of Genetics and Genomics in Nursing: A Policy Document Analysis.

BACKGROUND: Genetics and genomics (GG) are transforming approaches to healthcare in Canada and around the globe. Canadian nurses must be prepared to integrate GG in their practice, but modest research in this area suggests that Canadian nurses have limited GG competency. Countries that have integrated GG across nursing provided guidance to nurses about the practice implications of GG through regional nursing policy documents. These documents propelled action to integrate GG across nursing. Little is known about the GG content in the nursing policy document infrastructure in Canada. PURPOSE: This study aimed to examine the guidance for GG-informed nursing practice as provided by Canadian nursing organizations in official professional documents. METHODS: Qualitative document analysis was used. A hybrid inductive/deductive analysis approach was used to analyze findings within the diffusion of innovation theory framework. RESULTS: There is an overall lack of depth and breadth of Canadian nursing documents that include content related to GG. Of the (n = 37) documents analyzed, four themes were generated including (a) GG guidance in nursing education; (b) regulators' requirements for foundational GG knowledge, (c) Canadian Nurses Association (CNA) as an early catalyst to GG integration; and (d) early adopters in speciality practice. CONCLUSION: There are opportunities to enhance the guidance available to Canadian nurses for the application of GG, through documents of nursing professional associations, nursing education accreditation organizations, and regulatory bodies. Findings suggest oncology and perinatal nurses are the early adopters which is an important consideration in future strategies to implement GG into Canadian nursing.

Capuchin monkey (Sapajus spp.) diet: current knowledge, gaps, and future directions.

Knowledge of the feeding habits of primate species is important for an understanding of their natural history and ecological interactions between their groups, and their interactions with their environments. Capuchin monkeys (Sapajus spp.) present significant diet flexibility and are a good model for investigating diet diversity between species. We undertook a systematic literature review of publications on the diet of free-living Sapajus spp. groups by using the Web of Science platform. We performed scientometric analyses of the objectives and hypotheses of the reviewed works, identified knowledge gaps, and evaluated the composition of each group's diet. Our results indicate geographic and taxonomic biases among the 59 published studies that we examined. The studies were focused on Sapajus nigritus, Sapajus libidinosus, and Sapajus apella, and undertaken in long-term study sites. Foraging and behavioral aspects of how food is processed were recurring themes. Capuchin monkeys increase their consumption of anthropogenic food according to its supply. Despite the similar objectives of these studies, standardized data collection protocols were not employed. Although Sapajus spp. are widely distributed and are used for cognitive studies, basic aspects of their natural history, such as their diet, remain unknown. We emphasize the importance of undertaking studies on this genus to fill the identified knowledge gaps, and propose that investigations should be carried out on the effects of dietary changes on individuals and groups. We stress that, as the Neotropical region is one of those most affected by anthropogenic impacts, opportunities to study these primates in their natural environments are diminishing daily.

New frontiers for qualitative textual data analysis: a multimethod statistical approach.

In recent years, the increase in textual data production has meant that researchers require faster text analysis techniques and software to reliably produce knowledge for the scientific-nursing community. Automatic text data analysis opens the frontiers to a new research area combining the depth of analysis typical of qualitative research and the stability of measurements required for quantitative studies. Thanks to the statistical-computational approach, it proposes to study more or less extensive written texts produced in natural language to reveal lexical and linguistic worlds and extract useful and meaningful information for researchers. This article aims to provide an overview of this methodology, which has been rarely used in the nursing community to date.

Philosophical producers, philosophical consumers, and the metaphilosophical value of original texts.

In recent years, two competing methodological frameworks have developed in the study of the epistemology of philosophy. The traditional camp, led by experimental philosophy and its allies, has made inferences about the epistemology of philosophy based on the reactions, or intuitions, people have to works of philosophy. In contrast, multiple authors have followed the lead of Deutsch and Cappelen by setting aside experimental data in favor of inferences based on careful examination of the text of notable works of philosophy. In other words, the debate is split between authors focusing on philosophy's consumption and those focusing on philosophy's production. This paper examines the motivation for focusing on original texts and other evidence of philosophy's production and finds it lacking. Drawing upon Hills' distinction between propagation and transmission, I argue that the social epistemology of philosophy does not justify the recent focus on original texts of philosophy. Because the philosophical knowledge of consumers of philosophy is likely inspired by producers of philosophy, as opposed to epistemically grounded in the producers' epistemic states, experimental philosophy had it right all along-if we want to know the epistemic standing of philosophy, we need to look to philosophy's consumers.

Hope that provides strength in illness-patients' perspectives: Nursing students' narratives after conversation with patients.

BACKGROUND: The aim of this article is to explore sources of hope for patients by using patients' narratives and perspectives on how they find hope when facing illness. Hope enables people to endure suffering and can be critical to how people cope with illness. Hope is not a singular phenomenon, so nurses need to understand how to support the patients' sources of hope. METHODS: We used a qualitatively descriptive design with qualitative content analysis. We examined reflective notes from 385 first-year nursing students after they had had a conversation with patients with disease experiences following Graneheim and Lundman's description of analysis. The conversation with the patients/persons was related to sources of hope and strength, who they turned to when they needed help, and if they were available. After the conversation, the students had to write a reflective log with a summary of the conversation. RESULTS: We found four categories that explained how patients found hope: (1) relational hope, (2) spiritual hope, (3) hope in nature and (4) hope in oneself. Most of the patients found hope in more than one of these categories. CONCLUSION: It is important for nursing to have knowledge about patients' narratives about how they build and sustain hope during times of illness. Nursing can contribute to promoting hope and thus alleviating patients' suffering. The four categories in this study can serve as a guide for nurses to assess and support patients' hope and encourage them to find their strength through different sources.

Medical Assistance in Dying: A Review of Related Canadian News Media Texts.

Medical assistance in dying (MAiD) was legalized in Canada in 2016. Canadians' opinions on the service are nuanced, particularly as the legislation changes over time. In this paper, we outline findings from our review of representations of MAiD in Canadian news media texts since its legalization. These stories reflect the concerns, priorities, and experiences of key stakeholders and function pedagogically, shaping public opinion about MAiD. We discuss this review of Canadian news media on MAiD, provide examples of four key themes we identified (vulnerability, autonomy, dignity, and human rights), and discuss their implications for health policy and equity. Though key stakeholders share the values of autonomy, dignity, and human rights, they appeal to them in diverse ways, sometimes with conflicting policy demands. These representations offer a useful gauge of how views about MAiD continue to shift alongside changes in federal legislation. These stories can influence related policies, respond to the powerful voices that shape MAiD legislation, and have the potential to change national conversations. Our analysis adds to the existing body of scholarship on MAiD by examining post-Bill C-7 news media, identifying related health equity issues and tensions, and discussing potential impacts of MAiD's representations in news media.

Transforming epilepsy research: A systematic review on natural language processing applications.

Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is typically stored in electronic health records and accumulated in medical journals in an unstructured manner, thereby restricting complete utilization in clinical decision-making. To this end, clinical researchers increasing apply natural language processing (NLP)-a branch of artificial intelligence-as it removes ambiguity, derives context, and imbues standardized meaning from free-narrative clinical texts. This systematic review presents an overview of the current NLP applications in epilepsy and discusses the opportunities and drawbacks of NLP alongside its future implications. We searched the PubMed and Embase databases with a "natural language processing" and "epilepsy" query (March 4, 2022) and included original research articles describing the application of NLP techniques for textual analysis in epilepsy. Twenty-six studies were included. Fifty-eight percent of these studies used NLP to classify clinical records into predefined categories, improving patient identification and treatment decisions. Other applications of NLP had structured clinical information retrieval from electronic health records, scientific papers, and online posts of patients. Challenges and opportunities of NLP applications for enhancing epilepsy care and research are discussed. The field could further benefit from NLP by replicating successes in other health care domains, such as NLP-aided quality evaluation for clinical decision-making, outcome prediction, and clinical record summarization.

Determinants of the Cost-Effectiveness of Telemedicine: Systematic Screening and Quantitative Analysis of the Literature.

Background and Objectives: Telemedicine holds the promise of increasing access-to-care at a lower cost. Yet, for years, the evidence of telemedicine's cost-effectiveness was scarce. Faced with a rapidly expanding literature, we conduct both manual and systematic selection of the literature, and analyzed the data to determine: (1) the characteristics of economic evaluations of telemedicine, and (2) the determinants of economically efficient telemedicine interventions. Methods: We reviewed all published economic evaluations of telemedicine in Cochrane, Embase, and Pubmed from 2008 to 2018. Articles were screened by two researchers first on title and abstract (Stage 1), then on full article (Stage 2), (protocol available on PROSPERO, ref. CRD42019143032). We proposed an alternative method for screening articles using machine learning based on textual classification and compared these two approaches. We constructed an exclusive dataset on the characteristics of the selected articles and enriched it using OECD data at the country level. We identified the determinants of efficient telemedicine interventions using multiple logit models. Results and Conclusion: We included 156 articles out of 2,639. Most economic studies of our sample regard telemonitoring. A majority (73.7%) of studies found that telemedicine intervention is efficient, regardless of the medical domain. Articles with higher standards of economic evaluation (cost-effectiveness analysis, randomized trials with high sample size) were less likely to report an efficient intervention. We found no effect of the publication year, signifying that the nature of the evidence has not changed over time.