Large language models are changing landscape of academic publications. A positive transformation?

The advent of large language models (LLMs) based on neural networks marks a significant shift in academic writing, particularly in medical sciences. These models, including OpenAI's GPT-4, Google's Bard, and Anthropic's Claude, enable more efficient text processing through transformer architecture and attention mechanisms. LLMs can generate coherent texts that are indistinguishable from human-written content. In medicine, they can contribute to the automation of literature reviews, data extraction, and hypothesis formulation. However, ethical concerns arise regarding the quality and integrity of scientific publications and the risk of generating misleading content. This article provides an overview of how LLMs are changing medical writing, the ethical dilemmas they bring, and the possibilities for detecting AI-generated text. It concludes with a focus on the potential future of LLMs in academic publishing and their impact on the medical community.

Farmed fish welfare research status in Latin America: A review.

Latin America (LATAM) plays an important role in the world's production of aquatic animals and is the second most productive region in the world. Chile, Ecuador, Brazil, Mexico, Colombia, and Perú contribute 87% of LATAM aquaculture production. The fish welfare in aquaculture is of increasing public concern globally, and LATAM is no exception, growing in importance for fish farmers, authorities, and scientists. Although the topic is somewhat controversial, the welfare status of farmed fish has direct implications for their production and the sustainability of the industry. Therefore, this study analyses scientific papers on animal welfare in farmed fish, from the six countries in LATAM with the highest aquaculture production. The main objectives were to quantify the number of papers published between 2000 and 2023 on fish welfare by using scientific databases. A total of 285 papers were found for the period analysed. The country with the largest number of publications was Brazil (75.79%), followed by Chile (13.33%), Mexico (7.02%), Peru (1.75%), Ecuador, and Colombia (1.05%). Nile tilapia was the most studied species, appearing in 30.18% of the publications, with most of the studies mainly dealing with nutrition (32.28%). The growth of aquaculture is leading to joint efforts to generate knowledge on welfare issues, especially in poorly studied species with high production, to create policies that help minimize welfare risks. Given this, the insights generated by this review could be a useful addition to approaches investigating the trends and concepts of fish welfare in LATAM.

Organoids in gastrointestinal diseases: from bench to clinic.

The etiology of gastrointestinal (GI) diseases is intricate and multifactorial, encompassing complex interactions between genetic predisposition and gut microbiota. The cell fate change, immune function regulation, and microenvironment composition in diseased tissues are governed by microorganisms and mutated genes either independently or through synergistic interactions. A comprehensive understanding of GI disease etiology is imperative for developing precise prevention and treatment strategies. However, the existing models used for studying the microenvironment in GI diseases-whether cancer cell lines or mouse models-exhibit significant limitations, which leads to the prosperity of organoids models. This review first describes the development history of organoids models, followed by a detailed demonstration of organoids application from bench to clinic. As for bench utilization, we present a layer-by-layer elucidation of organoid simulation on host-microbial interactions, as well as the application in molecular mechanism analysis. As for clinical adhibition, we provide a generalized interpretation of organoid application in GI disease simulation from inflammatory disorders to malignancy diseases, as well as in GI disease treatment including drug screening, immunotherapy, and microbial-targeting and screening treatment. This review draws a comprehensive and systematical depiction of organoids models, providing a novel insight into the utilization of organoids models from bench to clinic.

[DEVELOPMENT OF THE SECTOR of R&D development in Russian HIGHER medical education in digitization conditions].

The article considers results of study of the R&D sector directions development in system of Russian medical higher education in the context of digitization. The analysis made it possible to substantiate timeliness and importance of solving problems of improving medical services quality against the background of necessity for medical workers to systematically master breakthrough digital technologies in current medical practice. This conditions importance to ensure efficiency of R&D in Russian higher medical education in the context of digitization. The main models of organization of activities in the field of R&D are characterized, taking into account sources of financing and staffing. Based on on-line surveys of students in Google docs about their attitude to their further participation in R&D during education and after graduation, weak motivation to be engaged in R&D during their university education was revealed that is justified by non-obviousness of prospects of financial remuneration. Along with this, study established high degree of interest among students to mastering breakthrough digital technologies in order to further apply them in medical practice together with the latest medical technologies.

How to optimize communication about animal and animal-free research methods.

There is a long-standing debate about experimental non-human animals and animal-free methods in scientific research. Among the various stakeholders involved in the debate are the scientists. During media broadcasts we, animal researchers and animal-free methods researchers, were positioned as 'opponents'. In this essay we describe our initial rational thoughts and emotions after these events, and how we came together to explore our common ground on animal(-free) experimentation. Realizing that all models have advantages and limitations, our common ground lies in the principles of good scientific research and responsible experimentation. Our communication emanating from the broadcasts has been instrumental in improving communication on animal(-free) experimentation issues by teaming up. We strongly believe that this is essential for making well-informed decisions for the methods we are using now and will be using in the future.

The gap that Matilda will bridge: a look at the Colombian case.

Objective: To determine gender gaps in Emeritus researchers in Colombia. Methods: Oaxaca-Blinder-Kitakagwa decomposition model, correcting the sample selection bias with the inclusion of Mills' inverse ratio (Heckman's Lambda) through an ordered probit model. Data: Information available in the ScienTI Platform - Colombia during the period 2015-2021. Results: The results show that the gender gap between female and male researchers is 5.8%. To achieve Emeritus status, one must be over 65 years old, and the possibility of achieving Emeritus status is 5.1% higher for female researchers than for their male counterparts. These differences can be explained by the time constraints that female researchers face in being productive, as they spend more time than male researchers on caregiving responsibilities, either due to motherhood or the care of other dependent family members. Conclusions: The results obtained allow us to affirm that there is a gender gap in scientific research in Colombia in the Emeritus research category in the calls for proposals for the period 2015-2021. Moreover, the existing gap cannot be explained by factors associated with attributes of education and academic productivity that are part of the regulatory requirements, insofar as not being explained by them, it evidences the existence of discrimination against women researchers to access the highest research category.

A synergistic study of policy and literature on rumor governance.

Rumor governance is an important guarantee for social stability and public safety. Based on the life cycle and crisis cycle model, this paper conducts a synergistic analysis of China's rumor governance policies and regulations and the core scientific research literature on rumor governance in WOS and CNKI. In this paper, we use the TF-IDF algorithm to count the word frequencies of 326 policy and regulation texts, the Jieba-RoBERTa-Kmeans model to cluster high-frequency keywords, and CiteSpace software and the LLR clustering algorithm are utilized to extract and cluster keywords from 391 documents in the WOS database and from 703 documents in the CNKI database. Based on the synergistic analysis of the life cycle model, it is found that the research on policies and regulations precedes the research on literature, and both are in the period of refinement.Based on the synergistic analysis using the co-occurrence comparison of subject terms in the crisis cycle model, it is found that there is a lack of research in the stages of prevention, monitoring, and governance, and this paper proposes the systematic governance mechanism and strategy for crisis resolution that conforms to the trend of life cycle evolution and is synergistic with policy and literature. This study has only selected Chinese policies and regulations, and the proposed governance strategies have not yet been verified in practice; future research can expand the scope and depth of the study and conduct empirical research and pilot projects.

Emerging technologies in citizen science and potential for insect monitoring.

Emerging technologies are increasingly employed in environmental citizen science projects. This integration offers benefits and opportunities for scientists and participants alike. Citizen science can support large-scale, long-term monitoring of species occurrences, behaviour and interactions. At the same time, technologies can foster participant engagement, regardless of pre-existing taxonomic expertise or experience, and permit new types of data to be collected. Yet, technologies may also create challenges by potentially increasing financial costs, necessitating technological expertise or demanding training of participants. Technology could also reduce people's direct involvement and engagement with nature. In this perspective, we discuss how current technologies have spurred an increase in citizen science projects and how the implementation of emerging technologies in citizen science may enhance scientific impact and public engagement. We show how technology can act as (i) a facilitator of current citizen science and monitoring efforts, (ii) an enabler of new research opportunities, and (iii) a transformer of science, policy and public participation, but could also become (iv) an inhibitor of participation, equity and scientific rigour. Technology is developing fast and promises to provide many exciting opportunities for citizen science and insect monitoring, but while we seize these opportunities, we must remain vigilant against potential risks. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

What are the thoughts of postgraduate nursing students regarding the 'Applied Scientific Research' course? A qualitative study on achievements, benefits, challenges, and suggested solutions.

OBJECTIVE: This research aimed to examine students' emotions, opinions, and suggestions regarding the "Applied Scientific Research" course. METHOD: The study was conducted in a province in eastern Turkey between June and July 2023. Data were collected from 9 postgraduate students attending the "Scientific Research" course at a university's Institute of Health Sciences using a 'Descriptive Information Form' and a 'Semi-Structured Questionnaire'. Content analysis was employed for the qualitative data evaluation. RESULTS: The participants' ages ranged from 25 to 32. Six participants were female, five were academicians, and five were doctoral students. Six participants had taken a statistics or research course before the scientific research course. Additionally, seven had attended scientific conferences, five followed a scientific publication regularly, five had conducted scientific research before, and five had not published scientific research before taking the course. Through the analysis of data obtained from participant interviews, three themes, namely "Effects of Activities in the Course," "Reasons for Recommendations and Preferences," and "Outcomes of the Course," were identified. Six sub-themes and 18 codes were generated, including "Most Challenging Activity," "Least Challenging Activity," "Recommendations for the Course," "Reasons for Choosing the Course," "Contributions of the Course," and "Feelings Towards the Course." CONCLUSION: The research results indicate that students improved their skills in conducting scientific research, writing articles, and getting published after taking the course. Furthermore, the course evoked positive feelings in students and increased their perceived competence.

[Transformation of scientific research results into teaching resources to improve the teaching effect: taking the teaching of the chromatographic method in the pharmaceutical analysis course as an example].

The pharmaceutical analysis course is a three-dimensional knowledge network that connects several courses to form a new comprehensive knowledge node involving a large knowledge system and flexible knowledge structure. In this course, the subject of chromatography covers a wide range of topics. However, because accurate content is challenging to present, the teaching effect of this subject is poor. In this work, we sought to achieve the educational purpose of establishing morality and cultivating talent, as well as the goal of training highly skilled professionals, by taking the teaching of chromatography in the pharmaceutical analysis course as an example of transforming scientific research results into teaching resources. The resources obtained are integrated into the teaching process to provide innovative and scientific research ideas to students with the aim of not only helping them understand and master technical knowledge but also exercise their ability to raise and solve problems. Furthermore, we expound on how to introduce scientific development frontiers and formulate scientific problems through curriculum design. We also describe how our strategy can promote the teaching effect and achieve teaching objectives. Based on the characteristics of rapid knowledge update and equal emphasis on theory and practice in pharmaceutical analysis, the course is designed by introducing new advances in scientific development, formulating scientific problems, and adopting question- and problem-based learning methods for teaching. The teaching effect is then evaluated through diversified assessment, student feedback, and self-evaluation. The results show that the transformation of scientific research results into teaching resources plays a significant role in stimulating students' interest in learning, improving students' ability to solve problems, and achieving curriculum objectives, all of which greatly improve the teaching effect.

Knowledge, Attitudes, and Barriers Toward Research Among Medical Students: A Cross-sectional Study in Turkey.

Background: Scientific research is essential in medicine to practice evidence-based medicine and improve healthcare quality. Research experience enables students to hone their skills in thinking critically, understanding data, and evaluating the strengths and weaknesses of scientific articles. Objective: This study aims to determine knowledge, attitudes, and barriers toward research and assess research participation experience among medical students in Turkey. Methods: We conducted a cross-sectional study among medical students in Turkey. Data was collected using an online self-administered questionnaire. Results: A total of 487 students, 65.1% female, completed the questionnaire. The majority of students (78.9%) showed a poor level of knowledge regarding research, although 23.2% had previously participated in a research project. Females reported significantly higher positive attitude scores (32.2 versus 31.3, p = 0.034) than males. Graduates of high schools based abroad had substantially lower knowledge scores than Anatolian, Science, and Private High School graduates (1.4 versus 2.7, 2.6, 2.4; p < 0.001). Students with experience in a research project had significantly higher knowledge scores (2.7 versus 2.3, p = 0.045). Students who wish to participate in a scientific research project in their future career had both substantially higher positive attitude scores (32.4 versus 29.6, p < 0.001) and knowledge scores (2.5 versus 1.8, p < 0.001) than those with no interest. Conclusion: Most participants had a positive attitude but lacked research knowledge. Some perceived barriers were lack of funding, time, proper mentoring, laboratories, and facilities. Developing better training systems may help to convert students' positive attitudes toward research into improved knowledge, practices, and overcoming research barriers. Supplementary information: The online version contains supplementary material available at 10.1007/s40670-024-01987-0.

A method for managing scientific research project resource conflicts and predicting risks using BP neural networks.

This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and intangible resources required during project execution and establishes a resource conflict risk index system. Subsequently, a resource conflict risk management model for scientific research projects is developed using Back Propagation (BP) neural networks. This model incorporates the Dropout regularization technique to enhance the generalization capacity of the BP neural network. Leveraging the BP neural network's non-linear fitting capabilities, it captures the intricate relationship between project resource demand and supply. Additionally, the model employs self-learning to continuously adapt to new scenarios based on historical data, enabling more precise resource conflict risk assessments. Finally, the model's performance is analyzed. The results reveal that risks in scientific research project management primarily fall into six categories: material, equipment, personnel, financial, time, and organizational factors. This study's model algorithm exhibits the highest accuracy in predicting time-related risks, achieving 97.21%, surpassing convolutional neural network algorithms. Furthermore, the Root Mean Squared Error of the model algorithm remains stable at approximately 0.03, regardless of the number of hidden layer neurons, demonstrating excellent fitting capabilities. The developed BP neural network risk prediction framework in this study, while not directly influencing resource utilization efficiency or mitigating resource conflicts, aims to offer robust data support for research project managers when making decisions on resource allocation. The framework provides valuable insights through sensitivity analysis of organizational risks and other factors, with their relative importance reaching up to 20%. Further research should focus on defining specific strategies for various risk factors to effectively enhance resource utilization efficiency and manage resource conflicts.

A case study on the relationship between risk assessment of scientific research projects and related factors under the Naive Bayesian algorithm.

This paper delves into the nuanced dynamics influencing the outcomes of risk assessment (RA) in scientific research projects (SRPs), employing the Naive Bayes algorithm. The methodology involves the selection of diverse SRPs cases, gathering data encompassing project scale, budget investment, team experience, and other pertinent factors. The paper advances the application of the Naive Bayes algorithm by introducing enhancements, specifically integrating the Tree-augmented Naive Bayes (TANB) model. This augmentation serves to estimate risk probabilities for different research projects, shedding light on the intricate interplay and contributions of various factors to the RA process. The findings underscore the efficacy of the TANB algorithm, demonstrating commendable accuracy (average accuracy 89.2%) in RA for SRPs. Notably, budget investment (regression coefficient: 0.68, P < 0.05) and team experience (regression coefficient: 0.51, P < 0.05) emerge as significant determinants obviously influencing RA outcomes. Conversely, the impact of project size (regression coefficient: 0.31, P < 0.05) is relatively modest. This paper furnishes a concrete reference framework for project managers, facilitating informed decision-making in SRPs. By comprehensively analyzing the influence of various factors on RA, the paper not only contributes empirical insights to project decision-making but also elucidates the intricate relationships between different factors. The research advocates for heightened attention to budget investment and team experience when formulating risk management strategies. This strategic focus is posited to enhance the precision of RAs and the scientific foundation of decision-making processes.

Public involvement and public engagement: An example of convergent evolution? Findings from a conceptual qualitative review of patient and public involvement, and public engagement, in health and scientific research.

Objective: Patient and public involvement (PPI) in health research is now well-established, whilst science, technology, engineering and mathematics (STEM) research has shifted from a focus on science communication alone to public engagement (PE) within its research processes. Despite frequently drawing on similar theoretical influences, and practical motivations, there is often a lack of dialogue between such settings meaning shared learning, practice and evidence from these two sectors are rarely pooled. Methods: In this article, we examine findings from a conceptual review of literature gathered between 1996 and 2019. Results: Analyzing 142 peer-reviewed articles, we ascertain shared definitions and concepts in patient and public involvement and public engagement, identifying key differences and similarities. Conclusion: The literature we review supports the notion that, in terms of origins, there are two distinct traditions, one based in science communication and one based in what we describe as public involvement in shared decision-making. Innovation: We find evidence that the two traditions are converging but our work also calls for the need for further conversations between these two settings, which are exploring intersecting issues but from parallel pathways.

Aspectos de la vida y obra del Dr. Bernardo Alberto Houssay / Aspects of the life and work of Dr. Bernardo Alberto Houssay

Con motivo del Día Mundial de la Ciencia y la Tecnología, se realizó en la Casa Museo Bernardo Houssay un conversatorio en el que expertos biógrafos resaltaron algunos aspectos de la trayectoria profesional del Premio Nobel de Medicina de 1947, destacando su actividad como investigador en fisiología y sus cualidades humanas. Estos importantes estudiosos del tema compartieron sus conocimientos en un selecto auditorio. (AU)

On the occasion of World Science and Technology Day, a discussion was held at the Bernardo Houssay House Museum in which expert biographers highlighted some aspects of the professional career of the 1947 Nobel Prize in Medicine, highlighting his activity as a researcher in physiology and his human qualities. These important scholars of the subject shared their knowledge in a select audience. (AU)

The Effect of Mindfulness on the Promotion of Graduate Students' Scientific Research Creativity: The Chain Mediating Role of Flow Experience and Creative Self-Efficacy.

Creativity is a universal core higher-order cognitive ability in the 21st century, which reflects a country's core competitiveness and soft power. Mindfulness, as an important concept in positive psychology, has also received attention for its potential effect on research creativity. Using structural equation modeling and bootstrap methods, this study investigated the relationship between mindfulness and research creativity among 1210 Chinese graduate students. Additionally, we explored the mediating effect of flow experience and creative self-efficacy in this relationship. The research results showed that mindfulness had a direct positive effect on graduate students' scientific research creativity. The mediating effect of flow experience and creative self-efficacy, as well as the chain mediating effect, were established, with the mediating ratio being 13.1% and 30.0%, respectively, and the indirect effect of chain mediating accounting for 34.1%. Interestingly, the effect mechanism at the gender level was various, with the mediating effect of mindfulness on scientific research creativity being higher among male graduate students. The results of this study revealed the mechanism of mindfulness on graduate students' scientific research creativity, offering valuable insights for enhancing their creative capabilities in the realm of scientific research.

Resultados del Programa Territorial "Desarrollo de productos y servicios de salud"

Un programa de ciencia, tecnología e innovación es un conjunto de actividades organizadas en proyectos que se relacionan entre sí, cuyo objetivo es resolver un problema identificado según las prioridades y dirigido a lograr resultados de impactos específicos. En la provincia Santiago de Cuba está en acción, desde el año 2020, el Programa Territorial "Desarrollo de productos y servicios de salud", que ha ejecutado 12 proyectos de investigación. En el presente artículo se identifican sus resultados científico-técnicos y, además, se plantea que estos responden a prioridades sectoriales y territoriales y se encuentran en correspondencia con las políticas del sector sanitario y de la educación superior en Cuba. Su introducción contribuye a resolver las problemáticas de salud en el territorio mediante la aplicación de la ciencia y la innovación tecnológica para el diagnóstico, el tratamiento y la rehabilitación de pobladores con enfermedades.

A science, technology and innovation program is a group of activities organized in projects that are related to each other, which objective is to solve a problem identified according to the priorities and directed to achieve results of specific impacts. In Santiago de Cuba province the Territorial Program "Development of products and health services" is in action since 2020, which has implemented 12 investigation projects. In this work the scientific-technical results are identified; also, it is considered that they respond to sectoral and territorial priorities and are in correspondence with the policy of the health sector and higher education in Cuba. Their introduction contributes to solve the health problems in the territory by means of the implementation of science and technological innovation for the diagnosis, treatment and rehabilitation of persons with diseases.

In Vitro Evaluation of Accuracy and Reliability of Tooth Shade Selection Using Different Digital Instruments.

Introduction Managing tooth shade is a significant challenge in aesthetic dentistry, especially for anterior restorations. Accurate shade assessment, combined with tailored treatment strategies and effective communication, is crucial. To improve the precision and reliability of aesthetic dental treatments, new shade-matching technologies have emerged. Current clinical methods for determining tooth shade utilize both visual assessments and instrumental techniques. The current study aimed to assess and compare the reliability and accuracy of four digital methods of tooth shade matching. Materials and methods This study utilized a 3D-printed resin upper arch model with tooth preparation done on tooth 11. An intraoral scanner was employed to scan and design the tooth, followed by the fabrication of 30 zirconia crowns using computer-aided design and computer-assisted manufacturing (CAD/CAM). The assessment of shade matching involved four digital photometric methodologies (group 1: twin flash + digital single-lens reflex (DSLR) camera (DT), group 2: ring flash + DSLR camera (DR), group 3: smartphone camera (SMART), group 4: intraoral scanner (IOS)) with Commission Internationale de l'Eclairage (CIEL*a*b*) values determined through Adobe Photoshop transformation. Accuracy (ΔE) was calculated and a specific shade using Vitablocs Mark II 3D-Master served as the standard. CIEL*a*b* data (where L = lightness, a and b = chromaticity coordinates) from four cohorts were analyzed in SPSS 26.0 for reliability, with intraclass correlation. The Kruskal-Wallis test and Spearman's correlation assessed reliability, while a one-sample t-test assessed accuracy, comparing values to clinical thresholds (p<0.05). Results The intraclass correlation revealed noteworthy variations in the L*, a*, and b* values, spanning from 0.730 to 0.994, 0.885 to 0.992, and 0.881 to 0.997, respectively. Intraoral scanners demonstrated high accuracy (ΔE = 5.8), while the SMART method showed the lowest precision (ΔE = 12.09). Twin flash with DSLR (TF+DSLR) and ring flash with DSLR (RF+DSLR) displayed comparable precision, with ΔE values of 10.90 and 10.97 respectively. Conclusion The smartphone exhibited the least precision, displaying notable discrepancies in all CIEL*a*b* metrics when compared to the manufacturer-specified shades. Conversely, the intraoral scanner demonstrated higher accuracy and reliability compared to the other groups, with no discernible variation in any of the CIEL*a*b* values from the manufacturer's standard.

Effectiveness of scientific research education programme on the attitudes of nursing students towards research methods course: a pre and post-implementation study.

BACKGROUND: Nursing research is the key to building an evidence-based practice for nursing. It is a necessity for nursing students to be professionals and to be encouraged to conduct research. AIMS: This research was conducted to determine the effectiveness of a scientific research education program on the attitudes of nursing students towards research methods. DESIGN: A single group pre and post implementation study. METHODS: The sample was composed of the third-year nursing students (n = 196). A questionnaire, and the Scientific-Research-Methods-Course-Attitude-Scale (SRMC-AS) were used for the data collection. The intervention consisted of theoretical education, group discussions, and research project writing practices lead by the researchers. RESULTS: The difference between mean scores of the SRMC-AS baseline measurement (85.18 ± 9.09), 3rd month (91.20 ± 7.59), and 6th month (90.68 ± 11.16) was statistically significant (p < 0.05). CONCLUSION: The scientific research education program was found effective about positively increasing the attitudes of the students towards the course.

Effective Manuscript Preparation and Submission.

Authors have a wide range of journals to which they can submit their report for consideration for publication. One key to getting the journal editors to accept a report is that the manuscript is properly organized and in compliance with the journal's Guide for Authors. For this reason, the single most important undertaking that an author can do before submission is read the journal's Guide for Authors and make sure that the report meets the journal's requirements for publication. If the subject matter is interesting and scientifically rigorous, then a well-written manuscript that complies with the journal's requirements will likely cruise through the peer review process and get accepted for publication. With this in mind, we now break down the elements of a report of original research and describe useful details that enhance the manuscript and leave little to revise.