Ethanol-responsive structural colors with multi-level information encryption based on the patterned three-layer inverse opal photonic crystal.

Stimulus-responsive inverse opal photonic crystals (IOPCs) with tunable structural colors show significant promise in information security. To improve upon the traditional bilayer structure with limited color information and single decoding mode, this work developed an ethanol-responsive structure with multi-level information encryption ability by inserting a functional layer into two shielding layers (red Layer A with a photonic stop band (PSB) at 640 nm and green Layer C with a PSB at 530 nm). The functional layer was composed of colorless Layer B, a quick response (QR) code pattern made of TiO2 nanoparticles, and a dense polymer. Due to the isolation of distinct layers, different reflectance values, and different PSB positions of the three-layer IOPC, the structural color of Layer B could only be "turned on" by wetting the entire structure when its PSB redshifted from 360 nm to 460 nm. Specifically, when either side was individually wetted, the PSB of Layer A or C redshifted to 825 nm or 685 nm, and the color of the QR code was dominated by the unwetted red or green layer. After the entire structure had been soaked, the blue QR code was decoded. Meanwhile, when the detecting angle increased from 5° to 60°, the PSBs of Layers B and C in the wetted three-layer IOPC blueshifted from 460 nm to 365 nm and from 685 nm to 540 nm, respectively, which resulted in a cascade decoding process with a single- or mixed-color output. This structure provides a good foundation for multi-level information encryption.

Fluorescent hydrogen-bonded organic framework act as a multifunctional platform for Fe3+ and F- sensing, and for information encryption.

Due to their exceptional optical properties and adjustable functional characteristics, hydrogen-bonded organic frameworks (HOFs) demonstrate significant potential in applications such as sensing, information encryption. However, studies on the synthesis of HOFs designed to construct multifunctional platforms are scant. In this work, we report the synthesis of a new fluorescent HOF by assembling melem and isophthalic acid (IPA), designated as HOF-IPA. HOF-IPA exhibited good selectivity and sensitivity towards Fe3+, making it suitable as a fluorescent sensor for Fe3+ detection. The sensor achieved satisfactory recoveries ranging from 97.79 % to106.42 % for Fe3+ sensing, with a low relative standard deviation (RSD) of less than 3.33 %, indicating significant application potential for HOF-IPA. Due to the ability of F- to mask the electrostatic action on the surface of Fe3+ and inhibit the photoelectron transfer (PET) of HOF-IPA, the HOF-IPA - Fe3+ system can be utilized as a fluorescent "off-on" sensor for F- detection. Additionally, owing to the colorless, transparent property of HOF-IPA in aqueous solution under sunlight and its blue fluorescence property under UV light (color) or microplate reader (fluorescence intensity), HOF-IPA based ink can be used for various types of information encryption, and all yielding favorable outcomes.

Tecnologias em saúde da hanseníase no âmbito da Atenção Primária à Saúde: revisão de escopo / Leprosy health technologies in Primary Health Care: a scoping review / Tecnologías en salud de la lepra en el ámbito de la Atención Primaria a la Salud: revisión del alcance

Objetivo: mapear as tecnologias em saúde para manejo no cuidado à pessoa com hanseníase na Atenção Primária à Saúde. Método: revisão de escopo baseada na metodologia do JBI, em seis bases de dados, seguindo a checklist Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Foram incluídos estudos publicados em qualquer idioma, com diferentes abordagens metodológicas. Resultados: os 14 estudos incluídos na revisão mostram que a aplicabilidade de tecnologias para o manejo do cuidado a pessoa com hanseníase na Atenção Primária à Saúde, possibilitam a confirmação de diagnóstico, acompanhamento, monitoramento e prevenção de incapacidades. Conclusão: nota-se que tecnologia em saúde se apresentam como ferramentas que auxiliam no processo de cuidado na assistência a pessoas com hanseníase, a fim de permitir aos profissionais de saúde conhecimento sobre a doença, proporcionando qualidade na sua prática de saúde.

Objective: to map health technologies for managing the care of people with leprosy in Primary Health Care. Method: scoping review based on the JBI methodology in six databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Studies published in any language were included, with different methodological approaches. Results: the 14 studies included in the review show that the applicability of technologies for the management of care for people with leprosy in Primary Health Care makes it possible to confirm diagnosis, follow-up, monitoring, and prevention of disabilities. Conclusion: it has been noted that health technologies are tools that help in the process of caring for people with leprosy, to provide health professionals with knowledge about the disease, improving quality of health practice.

Objetivo: mapear las tecnologías en salud para el manejo en el cuidado a la persona con lepra en la Atención Primaria a la Salud. Método: revisión del alcance basada en la metodología del JBI, en seis bases de datos, siguiendo la checklist Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Se han incluido estudios publicados en cualquier idioma, con diferentes enfoques metodológicos. Resultados: los 14 estudios incluidos en la revisión muestran que la aplicabilidad de tecnologías para el manejo del cuidado a la persona con lepra en la Atención Primaria a la Salud posibilita la confirmación de diagnóstico, seguimiento, monitoreo y prevención de incapacidades. Conclusión: se percibe que las tecnologías en salud se presentan como herramientas que ayudan en el proceso de cuidado en la asistencia a personas con lepra, con fines de permitir a los profesionales de salud el acceso al conocimiento sobre la enfermedad, proporcionando calidad en su práctica de salud.

Mapping new psychoactive substances: Leveraging GIS technology for advanced global surveillance and policy support.

The escalating challenge of New Psychoactive Substances (NPS) necessitates enhanced global monitoring and analysis capabilities. This study introduces an advanced interactive visualization tool that employs Geographic Information System (GIS) technologies to improve the functionality of the UNODC's Early Warning Advisory. The tool enables dynamic observation and analysis of NPS's geographical and temporal distribution, thereby facilitating a comprehensive understanding of their public health impacts. By incorporating detailed choropleth maps and annual and cumulative bar charts, the tool allows policymakers and researchers to visually track and analyze trends in NPS usage and control efforts across different regions. The results demonstrate the tool's effectiveness in providing actionable insights, which support the strategic development of public health policies and interventions to curb the global rise in NPS usage. This initiative illustrates the essential role of digital tools in enhancing public health strategies and responses to emerging drug trends. This rising challenge underscores the urgent need for innovative solutions in monitoring drug trends, a theme explored in this paper. The web tool is available at https://nps-vis.cmdm.tw, and the code is available at https://github.com/CMDM-Lab/nps-vis.

Vocal Hygiene: What Are Professional Voice Users Saying About It on YouTube?

PURPOSE: Health content has been presented and accessed freely on social networks and can generate misinformation; hence, this study aimed to analyze the voice guidance in videos available on YouTube. METHOD: This observational cross-sectional research selected the 45 most-viewed videos on YouTube in 2022, produced by professional voice users with guidance on vocal hygiene and well-being. The content was described and compared with the scientific literature on the topic, analyzing which category of professional voice users produced the most scientifically based content. RESULTS: Altogether, 38 topics were found in the videos, distributed in nine blocks, identified from A to I. Block A (foods with a positive effect on the voice) was the only one that had no citations in scientific articles, whereas block D (negative habits for the voice) had the highest mean number of articles in relation to the others. The most publicized guidelines were mainly related to actions and/or behaviors and resources considered positive for the voice. Eight professional categories were found who produced these videos. Singing teachers who also worked as singers produced the most scientifically based content. CONCLUSION: The study showed that not all the information in the videos was scientifically based, which means that people with voice problems have easy access to information that could even harm them if used in their professions.

Empowering healthcare education: A multilingual ontology for medical informatics and digital health (MIMO) integrated to artificial intelligence powered training in smart hospitals.

Objective: A comprehensive understanding of professional and technical terms is essential to achieving practical results in multidisciplinary projects dealing with health informatics and digital health. The medical informatics multilingual ontology (MIMO) initiative has been created through international cooperation. MIMO is continuously updated and comprises over 3700 concepts in 37 languages on the Health Terminology/Ontology Portal (HeTOP). Methods: We conducted case studies to assess the feasibility and impact of integrating MIMO into real-world healthcare projects. In HosmartAI, MIMO is used to index technological tools in a dedicated marketplace and improve partners' communication. Then, in SaNuRN, MIMO supports the development of a "Catalog and Index of Digital Health Teaching Resources" (CIDHR) backing digital health resources retrieval for health and allied health students. Results: In HosmartAI, MIMO facilitates the indexation of technological tools and smooths partners' interactions. In SaNuRN within CIDHR, MIMO ensures that students and practitioners access up-to-date, multilingual, and high-quality resources to enhance their learning endeavors. Conclusion: Integrating MIMO into training in smart hospital projects allows healthcare students and experts worldwide with different mother tongues and knowledge to tackle challenges facing the health informatics and digital health landscape to find innovative solutions improving initial and continuous education.

Is YouTube a reliable source of education for the intravitreal injection procedure?

PURPOSE: This study aims to evaluate the quality of videos on YouTube that demonstrate the intravitreal injection (IVI) procedure as an educational tool. MATERIAL AND METHODS: A search on YouTube using the keywords "intravitreal injection", "intravitreal injection procedure", "eye injection", "eye injection procedure", "dexamethasone intraocular injection", and "anti-VEGF injection" was performed on January 10, 2023. Of the first 300 videos obtained, 70 met the inclusion criteria. The videos were evaluated for content and quality using the IVI procedure checklist score, DISCERN, modified Global Quality Score (GQS), Health on the Net Foundation (HON) code, and the Journal of American Medical Association (JAMA) scores. The quality of the videos was also compared with regard to the uploading source, such as a university or training hospital, educational channels, and individual medical doctors or healthcare professionals. RESULTS: The mean IVI procedure checklist score was 4.84±1.58, and 29 videos fulfilled more than 80% of the checklist items, indicating that only 41.4% of the videos conformed to the IVI procedure recommendations. The mean DISCERN, modified GQS, and JAMA benchmark scores were 34.75±10.46, 2.90±1.09, and 2.09±0.72, respectively, indicating poor overall video quality. The mean HON code score was 4.68±1.39, indicating moderate overall video quality. Videos uploaded by educational channels seem to be of better quality than those uploaded by others. CONCLUSIONS: The majority of evaluated YouTube videos on the IVI procedure appear to be of low quality as an educational tool. Videos uploaded by educational channels would be preferred to gain quality information about the IVI procedure.

A novel GAN-based three-axis mutually supervised super-resolution reconstruction method for rectal cancer MR image.

BACKGROUND AND OBJECTIVE: This study aims to enhance the resolution in the axial direction of rectal cancer magnetic resonance (MR) imaging scans to improve the accuracy of visual interpretation and quantitative analysis. MR imaging is a critical technique for the diagnosis and treatment planning of rectal cancer. However, obtaining high-resolution MR images is both time-consuming and costly. As a result, many hospitals store only a limited number of slices, often leading to low-resolution MR images, particularly in the axial plane. Given the importance of image resolution in accurate assessment, these low-resolution images frequently lack the necessary detail, posing substantial challenges for both human experts and computer-aided diagnostic systems. Image super-resolution (SR), a technique developed to enhance image resolution, was originally applied to natural images. Its success has since led to its application in various other tasks, especially in the reconstruction of low-resolution MR images. However, most existing SR methods fail to account for all anatomical planes during reconstruction, leading to unsatisfactory results when applied to rectal cancer MR images. METHODS: In this paper, we propose a GAN-based three-axis mutually supervised super-resolution reconstruction method tailored for low-resolution rectal cancer MR images. Our approach involves performing one-dimensional (1D) intra-slice SR reconstruction along the axial direction for both the sagittal and coronal planes, coupled with inter-slice SR reconstruction based on slice synthesis in the axial direction. To further enhance the accuracy of super-resolution reconstruction, we introduce a consistency supervision mechanism across the reconstruction results of different axes, promoting mutual learning between each axis. A key innovation of our method is the introduction of Depth-GAN for synthesize intermediate slices in the axial plane, incorporating depth information and leveraging Generative Adversarial Networks (GANs) for this purpose. Additionally, we enhance the accuracy of intermediate slice synthesis by employing a combination of supervised and unsupervised interactive learning techniques throughout the process. RESULTS: We conducted extensive ablation studies and comparative analyses with existing methods to validate the effectiveness of our approach. On the test set from Shanxi Cancer Hospital, our method achieved a Peak Signal-to-Noise Ratio (PSNR) of 34.62 and a Structural Similarity Index (SSIM) of 96.34 %. These promising results demonstrate the superiority of our method.

Workplace violence in trauma centers: an American Trauma Society Position Statement.

In 1966, the National Academy of Sciences and National Research Council published 'Accidental Death and Disability: the Neglected Disease of Modern Society' which served as a national call to action to address the apparent public apathy towards the devastating and unnecessary toll that injury was taking on America. This white paper recommended the establishment of a National Trauma Association to drive public demand for injury prevention and mitigation. The American Association for the Surgery of Trauma heeding that call, founded the American Trauma Society (ATS) in 1968. Since its founding and with a mission of 'Save Lives. Improve Care. Empowering Survivors', the ATS has had a 56-year legacy of service to improve trauma care by providing professional and public education, advocacy for injury and violence prevention, and attending to the unique needs of trauma survivors and their families. As a focus of the ATS's advocacy efforts, the ATS's Legislative and Policy Committee (LPC) formulates the organization's legislative goals and strategy by reviewing proposed legislation and regulations that may favorably or adversely affect trauma professionals, and disseminating key information as position statements to the membership and public for edification and/or action. In accordance with this effort, the ATS has partnered with the Trauma Surgery and Acute Care Open to publish these important collaborative endeavors. For this inaugural publication of an ATS position statement, the topic we chose is workplace violence (WPV) in trauma centers. A work group of the ATS's LPC reviewed current literature gathered from a variety of organizational and agency sources addressing safety and protection of healthcare providers from WPV including federal and state legislative and regulatory initiatives. Based on the work groups review, we provide eight recommendations regarding the prevention, mitigation, or handling of WPV. We also review and discuss best practices and risk mitigation strategies, providing a listing of them in an accompanying appendix.

Defining the acute care surgeon: American Association for the Surgery of Trauma (AAST) panel discussion on full-time employment, compensation and career trajectory.

Since its inception, the specialty of acute care surgery has evolved and now represents a field with a broad clinical scope and large variations in implementation and practice. These variations produce unique challenges and there is no consistent definition of the scope, intensity or value of the work performed by acute care surgeons. This lack of clarity regarding expectations extends to surgeons and non-surgeons outside of our specialty, compounding difficulties in advocacy at the local, regional and national levels. Coupled with a lack of clarity surrounding the definition of full-time employment, these challenges have prompted surgeons to develop initiatives within acute care surgery in collaboration with the American Association for the Surgery of Trauma (AAST). A panel session at the AAST 2023 annual meeting was held to discuss the need to define a full-time equivalent for an acute care surgeon and how to consider and incorporate non-clinical responsibilities. Experiences, perspectives and propositions for change were discussed and are presented here.

Selling Misleading "Cancer Cure" Books on Amazon: Systematic Search on Amazon.com and Thematic Analysis.

BACKGROUND: While the evidence base on web-based cancer misinformation continues to develop, relatively little is known about the extent of such information on the world's largest e-commerce website, Amazon. Multiple media reports indicate that Amazon may host on its platform questionable cancer-related products for sale, such as books on purported cancer cures. This context suggests an urgent need to evaluate Amazon.com for cancer misinformation. OBJECTIVE: This study sought to (1) examine to what extent are misleading cancer cure books for sale on Amazon.com and (2) determine how cancer cure books on Amazon.com provide misleading cancer information. METHODS: We searched "cancer cure" on Amazon.com and retrieved the top 1000 English-language book search results. We reviewed the books' descriptions and titles to determine whether the books provided misleading cancer cure or treatment information. We considered a book to be misleading if it suggested scientifically unsupported cancer treatment approaches to cure or meaningfully treat cancer. Among books coded as misleading, we conducted an inductive latent thematic analysis to determine the informational value the books sought to offer. RESULTS: Nearly half (494/1000, 49.4%) of the sampled "cancer cure" books for sale on Amazon.com appeared to contain misleading cancer treatment and cure information. Overall, 17 (51.5%) out of 33 Amazon.com results pages had 50% or more of the books coded as misleading. The first search result page had the highest percentage of misleading books (23/33, 69.7%). Misleading books (n=494) contained eight themes: (1) claims of efficacious cancer cure strategies (n=451, 91.3%), (2) oversimplifying cancer and cancer treatment (n=194, 39.3%), (3) falsely justifying ineffective treatments as science based (n=189, 38.3%), (4) discrediting conventional cancer treatments (n=169, 34.2%), (5) finding the true cause of cancer (n=133, 26.9%), (6) homogenizing cancer (n=132, 26.7%), (7) discovery of new cancer treatments (n=119, 24.1%), and (8) cancer cure suppression (n=82, 16.6%). CONCLUSIONS: The results demonstrate that misleading cancer cure books are for sale, visible, and prevalent on Amazon.com, with prominence in initial search hits. These misleading books for sale on Amazon can be conceived of as forming part of a wider, cross-platform, web-based information environment in which misleading cancer cures are often given prominence. Our results suggest that greater enforcement is needed from Amazon and that cancer-focused organizations should engage in preemptive misinformation debunking.

Racial Biases Associated With Pulse Oximetry: Longitudinal Social Network Analysis of Social Media Advocacy Impact.

BACKGROUND: Pulse oximetry is a noninvasive method widely used in critical care and various clinical settings to monitor blood oxygen saturation. During the COVID-19 pandemic, its application for at-home oxygen saturation monitoring became prevalent. Further investigations found that pulse oximetry devices show decreased accuracy when used on individuals with darker skin tones. This study aimed to investigate the influence of X (previously known as Twitter) on the dissemination of information and the extent to which it raised health care sector awareness regarding racial disparities in pulse oximetry. OBJECTIVE: This study aimed to explore the impact of social media, specifically X, on increasing awareness of racial disparities in the accuracy of pulse oximetry and to map this analysis against the evolution of published literature on this topic. METHODS: We used social network analysis drawing upon Network Overview Discovery and Exploration for Excel Pro (NodeXL Pro; Social Media Research Foundation) to examine the impact of X conversations concerning pulse oximetry devices. Searches were conducted using the Twitter Academic Track application programming interface (as it was known then). These searches were performed each year (January to December) from 2012 to 2022 to cover 11 years with up to 52,052 users, generating 188,051 posts. We identified the nature of influencers in this field and monitored the temporal dissemination of information about social events and regulatory changes. Furthermore, our social media analysis was mapped against the evolution of published literature on this topic, which we located using PubMed. RESULTS: Conversations on X increased health care awareness of racial bias in pulse oximetry. They also facilitated the rapid dissemination of information, attaining a substantial audience within a compressed time frame, which may have impacted regulatory action announced concerning the investigation of racial biases in pulse oximetry. This increased awareness led to a surge in scientific research on the subject, highlighting a growing recognition of the necessity to understand and address these disparities in medical technology and its usage. CONCLUSIONS: Social media platforms such as X enabled researchers, health experts, patients, and the public to rapidly share information, increasing awareness of potential racial bias. These platforms also helped connect individuals interested in these topics and facilitated discussions that spurred further research. Our research provides a basis for understanding the role of X and other social media platforms in spreading health-related information about potential biases in medical devices such as pulse oximeters.

Evaluation of the quality and self-management related content of websites promoting physical activity engagement after myocardial infarction or cardiac surgery: A scoping review.

INTRODUCTION: Uncertainty about safe engagement in activity during early recovery after cardiac events is common. Websites are a potential source of health information, especially for those unable to access follow-up support from health professionals. The variability in online health information quality is concerning as poor web-based information can negatively impact patient health outcomes and the ability to self-manage. OBJECTIVE: To evaluate the quality and self-management-related content of websites providing information about physical activity following an MI or cardiac surgery. METHODS: Patient-facing websites were searched using three search engines (Google, Bing, and Yahoo). Information about activities of daily living (ADLs), exercise (aerobic and resistance), and safety considerations were explored. Self-management strategies for physical activity were evaluated using a customized 9-item checklist. Website quality was assessed using the 4-item JAMA framework criteria. RESULTS: 31 websites were included. Aerobic exercise, ADLs, and safety considerations were the most comprehensively covered topics. Resistance exercise was less frequently and comprehensively covered. The median self-management checklist score was 3/9 (with nine being the highest possible score). Partnering with healthcare professionals, decision-making, action planning, and verbal persuasion were the most common self-management skills addressed by the websites. In contrast, ten or fewer websites modelled mastery experiences, vicarious experiences, reflection, problem-solving, and resource utilization. The median JAMA score for website quality was 2/4 (with four being the highest possible score). CONCLUSIONS: The findings highlight quality improvement opportunities for web providers and provide insight for patients and clinicians regarding the highest quality websites that best meet the information and self-management needs following an MI or cardiac surgery.

Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model.

It is becoming increasingly common for researchers to consider leveraging information from external sources to enhance the analysis of small-scale studies. While much attention has focused on univariate survival data, correlated survival data are prevalent in epidemiological investigations. In this article, we propose a unified framework to improve the estimation of the marginal accelerated failure time model with correlated survival data by integrating additional information given in the form of covariate effects evaluated in a reduced accelerated failure time model. Such auxiliary information can be summarized by using valid estimating equations and hence can then be combined with the internal linear rank-estimating equations via the generalized method of moments. We investigate the asymptotic properties of the proposed estimator and show that it is more efficient than the conventional estimator using internal data only. When population heterogeneity exists, we revise the proposed estimation procedure and present a shrinkage estimator to protect against bias and loss of efficiency. Moreover, the proposed estimation procedure can be further refined to accommodate the non-negligible uncertainty in the auxiliary information, leading to more trustable inference conclusions. Simulation results demonstrate the finite sample performance of the proposed methods, and empirical application on the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial substantiates its practical relevance.

Developing a foundation information and academic skills programme for potential Student Nursing Associates.

This article outlines the development of 'Prepare to Progress', a preapplication programme for potential Student Nursing Associate (SNA) applicants at Gloucestershire Hospitals NHS Foundation Trust. Created collaboratively by the Trust's Library and Knowledge Services and Professional Education teams, the programme aims to provide realistic course expectations, teach study skills and boost confidence in using library services. Evaluation results indicate increased understanding of the SNA course, improved application decision-making, and enhanced academic confidence among participants. The programme demonstrates the valuable role of library services in preparing healthcare support workers for further education and addressing library anxiety. The study suggests benefits for both participants and library services.

Detection and Coil Embolisation of Pelvic Venous Incompetence for Chronic Pain in the Female Pelvis: A Development Phase Economic Analysis.

OBJECTIVE: Unexplained chronic pain in the female pelvis (CPFP) affects 7% of people indicating female sex in the UK. Evidence suggests that pelvic venous incompetence (PVI) could explain CPFP and that coil embolisation could provide relief. The aims of this study were to indicate (1) the cost effectiveness of detecting and treating PVI in people experiencing unexplained CPFP, and (2) the maximum value of further research, suggesting suitable areas. METHODS: A decision tree compared standard care (regular prescribed analgesia) with an intervention comprising transvaginal duplex ultrasound to screen for PVI, venography to confirm the diagnosis, and coil embolisation treatment. The population was people experiencing unexplained CPFP. A UK National Health Service perspective and 2021 - 22 price year were used. Ten years of health costs and health related quality of life (HRQoL) effects for eligible 40 year olds were simulated. Evidence reviews informed diagnostic accuracy, health service usage, and unit costs. A single centre randomised controlled trial informed all other parameters. Probabilistic analysis incorporated parameter uncertainty in cost effectiveness estimates. Deterministic sensitivity analysis indicated drivers of uncertainty. Value of information methods measured the value of eliminating all relevant uncertainties, given uptake predictions. The main outcome measures were incremental cost and quality adjusted life years (QALYs) for the intervention compared with analgesia, the incremental cost effectiveness ratio (ICER), and expected value of perfect information. RESULTS: The mean ICER for the intervention was £4 558/QALY gained, and the probability that the ICER was within the UK cost effectiveness threshold (£20 000/QALY gained) was 90%. The expected value of perfect information about all model parameters was £46 M. All deterministic sensitivity analysis scenarios met the threshold, except the smallest plausible HRQoL effect of (resolving) CPFP. CONCLUSION: Detecting and treating PVI causing CPFP appears cost effective, but more primary research would be valuable to reduce decision uncertainty. Uncertainty in the HRQoL estimate for unexplained CPFP appeared to contribute most to decision uncertainty.

Learning to match patients to clinical trials using large language models.

OBJECTIVE: This study investigates the use of Large Language Models (LLMs) for matching patients to clinical trials (CTs) within an information retrieval pipeline. Our objective is to enhance the process of patient-trial matching by leveraging the semantic processing capabilities of LLMs, thereby improving the effectiveness of patient recruitment for clinical trials. METHODS: We employed a multi-stage retrieval pipeline integrating various methodologies, including BM25 and Transformer-based rankers, along with LLM-based methods. Our primary datasets were the TREC Clinical Trials 2021-23 track collections. We compared LLM-based approaches, focusing on methods that leverage LLMs in query formulation, filtering, relevance ranking, and re-ranking of CTs. RESULTS: Our results indicate that LLM-based systems, particularly those involving re-ranking with a fine-tuned LLM, outperform traditional methods in terms of nDCG and Precision measures. The study demonstrates that fine-tuning LLMs enhances their ability to find eligible trials. Moreover, our LLM-based approach is competitive with state-of-the-art systems in the TREC challenges. The study shows the effectiveness of LLMs in CT matching, highlighting their potential in handling complex semantic analysis and improving patient-trial matching. However, the use of LLMs increases the computational cost and reduces efficiency. We provide a detailed analysis of effectiveness-efficiency trade-offs. CONCLUSION: This research demonstrates the promising role of LLMs in enhancing the patient-to-clinical trial matching process, offering a significant advancement in the automation of patient recruitment. Future work should explore optimising the balance between computational cost and retrieval effectiveness in practical applications.

Wutou Decoction attenuates rheumatoid arthritis in rats through SIRT1-mediated deacetylation of the HMGB1/NF-κB pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: In traditional Chinese medicine (TCM), Wutou Decoction (WTD) has long been used to alleviate arthritis. Emerging studies have reported that WTD could improve the symptoms of rheumatoid arthritis (RA). However, the mechanism by which WTD is involved in the treatment of RA remains elusive, posing a challenge to the worldwide acceptance of WTD as an efficient RA therapy. AIM OF THE STUDY: This study investigated the antiarthritic efficacy of WTD in a collagen-induced arthritis (CIA) rat model and explored silent information regulator 1 (SIRT1)-mediated deacetylation of the high mobility group box 1 (HMGB1)/NF-κB pathway. MATERIALS AND METHODS: A rat CIA model was used to evaluate the antiarthritic activity of WTD. Clinical arthritis score assessment, left ankle thickness assessment, micro-CT, histopathological staining, immunofluorescence staining, and ELISA were conducted to elucidate the anti-inflammatory effects of WTD. The M1 macrophage polarization state, cell viability, and invasion were also determined to assess the effects of WTD on macrophage proliferation and invasion in vitro. Additionally, in vivo and in vitro HMGB1 nuclear translocation and NF-κB activation were analysed. Finally, deacetylase activity was assessed by Western blot, NAD+/NADH analysis, and co-immunoprecipitaion. RESULTS: WTD significantly alleviated arthritis in CIA rats and inhibited pathological changes in joint lesions while concurrently suppressing TNF-α, IL-6, and IL-1ß release. Mechanistically, WTD suppressed M1 infiltration in ankle tissues and their invasion in vitro. Furthermore, WTD downregulated HMGB1/p65 nuclear translocation and acetylation, which may be associated with SIRT1 upregulation. CONCLUSIONS: Overall, WTD potentially alleviates RA through SIRT1-mediated downregulation of HMGB1 and NF-κB acetylation.

Multisource information fusion for safety risk assessment in complex projects considering dependence and uncertainty.

The success of tunneling projects is crucial for infrastructure development. However, the potential leakage risk is particularly challenging due to the inherent uncertainties and fuzziness involved. To address this demanding challenge, a hybrid approach integrating the copula theory, cloud model, and risk matrix, is proposed. The dependence of multiple risk-related influential factors is explored by the construct of the copula-cloud model, and the diverse information is fused by applying the risk matrix to gain a crisp risk result. A case study is performed to test the applicability of the proposed approach, in which a risk index system consisting of nine critical factors is developed and Sobol-enabled global sensitivity analysis (GSA) is incorporated to investigate the contributions of different factors to the risk magnitude. Key findings are as follows: (1) Risk statuses of the studied three tunnel sections are perceived as under grade I (safe), II (low-risk), and III (medium-risk), respectively, and the waterproof material aspect is found prone to deteriorating the tunnel sections. Furthermore, the proposed approach allows for a better understanding of the trends in the risk statuses of the tunnel sections. (2) Strong interactions between influential factors exist and exert impacts on the final risk results, proving the necessity of studying the factor dependence. (3) The developed neutral risk matrix presents a strong robustness and displays a higher recognition capacity in risk assessment. The novelty of this research lies in the consideration of the dependence and uncertainty in multisource information fusion with a hybrid copula-cloud model, enabling to perform a robust risk assessment under different risk matrices with varying degrees of risk tolerance.

Compression rates of microbial genomes are associated with genome size and base composition.

BACKGROUND: To what degree a string of symbols can be compressed reveals important details about its complexity. For instance, strings that are not compressible are random and carry a low information potential while the opposite is true for highly compressible strings. We explore to what extent microbial genomes are amenable to compression as they vary considerably both with respect to size and base composition. For instance, microbial genome sizes vary from less than 100,000 base pairs in symbionts to more than 10 million in soil-dwellers. Genomic base composition, often summarized as genomic AT or GC content due to the similar frequencies of adenine and thymine on one hand and cytosine and guanine on the other, also vary substantially; the most extreme microbes can have genomes with AT content below 25% or above 85% AT. Base composition determines the frequency of DNA words, consisting of multiple nucleotides or oligonucleotides, and may therefore also influence compressibility. Using 4,713 RefSeq genomes, we examined the association between compressibility, using both a DNA based- (MBGC) and a general purpose (ZPAQ) compression algorithm, and genome size, AT content as well as genomic oligonucleotide usage variance (OUV) using generalized additive models. RESULTS: We find that genome size (p < 0.001) and OUV (p < 0.001) are both strongly associated with genome redundancy for both type of file compressors. The DNA-based MBGC compressor managed to improve compression with approximately 3% on average with respect to ZPAQ. Moreover, MBGC detected a significant (p < 0.001) compression ratio difference between AT poor and AT rich genomes which was not detected with ZPAQ. CONCLUSION: As lack of compressibility is equivalent to randomness, our findings suggest that smaller and AT rich genomes may have accumulated more random mutations on average than larger and AT poor genomes which, in turn, were significantly more redundant. Moreover, we find that OUV is a strong proxy for genome compressibility in microbial genomes. The ZPAQ compressor was found to agree with the MBGC compressor, albeit with a poorer performance, except for the compressibility of AT-rich and AT-poor/GC-rich genomes.