Nature Of Communication Research Articles

Los retos de la Comunicación Estratégica de los museos ante la nueva Era Digital

Understanding the strategic nature of communication is essential for achieving institutional objectives, not only because of the preponderance it must have but also the profile of those who lead it. Through in-depth interviews with communication experts, the analysis of the functions these units perform and the tools they use, an approach is made to the strategic level given to this area in museums. Based on the ranking of the most visited museums in Spain by El Diario, the number of members of the communication team, professional profiles, experience, and platforms used to exercise communication are analyzed, allowing us to understand how this practice is carried out. It was detected that communication is not centralized in a department, thus reducing its strategic meaning. Furthermore, within the organization chart, the communication units do not have a directive or decision-making nature, preventing aligned and cohesive communication.

Natural resources utilization, digital technology, and green development expenditures can reduce environmental stress: A case study of emerging economies

The current study focuses on describing global environmental issues and the initiatives of higher authorities to resolve them. Therefore, the current research considers emerging economies to demonstrate the vital environmental factors from 2005 to 2022. However, the second-generation estimation strategy was utilized to investigate the long-run impact of natural resources, information & communication technology (ICT), research & development expenditures (R&D), human capital, openness, and financial development on carbon emissions. This empirical research utilizes a series of novel estimators to investigate the study objectives. In light of the study's findings, ICT, R&D, and human capital are all important factors contributing to environmental quality. However, natural resources, openness, and financial development increase emissions. Under the investigated outcomes, this study proposes some green policies to attain a sustainable environment shortly.

Advancing Accessibility through Automatic Speech Recognition and NLP Integration

Abstract: The integration of Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) technologies has the potential to revolutionize accessibility and inclusive communication. This article explores the fundamentals of ASR, including acoustic modeling, language modeling, and speech signal processing techniques, and discusses the challenges posed by language diversity in developing accurate ASR systems. The advent of ASR technology has opened up numerous possibilities for enhancing accessibility across various domains, such as assistive technology, education, healthcare, and media. The integration of ASR with NLP techniques enables the processing and analysis of spoken language data, leading to the development of voice-enabled virtual assistants, conversational AI systems, and cross-lingual communication tools. However, several challenges remain, including the need for robust and accurate ASR systems, privacy and security concerns, and ethical considerations in the development and deployment of these technologies. The article also presents future directions, such as the integration of ASR and NLP with emotion recognition and sentiment analysis, advances in deep learning techniques, and the application of these technologies in healthcare and accessibility. Overall, the integration of ASR and NLP holds immense promise for creating more natural, empathetic, and inclusive communication systems, but their development and deployment must be approached with care to ensure fairness, transparency, and user privacy.

Navigating TRPML1 Scholarly Hotspots Through a Bibliometric Lens

Transient Receptor Potential Mucolipin 1 (TRPML1) is a calcium-permeable cation channel predominantly localised on late endosomes and lysosomes. Its multifaceted roles encompass lysosomal exocytosis, autophagy, and cellular processes, such as mitochondrial function and cancer cell invasion. Despite extensive research on TRPML1, there remains a need to systematically evaluate TRPML1-related studies for the scientific community. Our goals were to analyse TRPML1 research publications to pinpoint key contributors, trends, and major themes. The aim is to showcase significant discoveries and untapped areas within TRPML1 for future research endeavours. In this study, we employed bibliometric tools, specifically VOSviewer, to quantitatively analyse TRPML1 publications. TRPML1 research witnessed an upward trajectory, peaking in 2019. The United States emerged as the predominant contributor, with China gaining prominence in recent years. The Journal of Biological Chemistry stood out as a leading disseminator of TRPML1-related findings. Additionally, Nature and Nature Communications boasted the highest citation rates, emphasising the impact of TRPML1 research. Highly cited articles unravelled TRPML1's pivotal role in iron homeostasis and autophagy regulation, shaping scholarly discourse and therapeutic advancements. Author networks spotlighted influential contributors such as Haoxing Xu, and Susan A Slaugenhaupt. Keyword analysis identified clusters related to lysosomal disorders, cellular regulations, and cellular stress, providing insights into prevailing research priorities. Initially, TRPML1 research centered on understanding its role in endosomes and lysosomes, revealing its relevance in various physiological and pathological conditions. However, certain underexplored research avenues for TRPML1 deserve attention, particularly in the context of autophagy and cancer. Finally, this study explored seven key research frontiers of TRPML1, illuminating critical areas namely podocyte function, exosome release, neurodegeneration, autophagy regulation, cancer progression, apoptosis, and interactions with reactive oxygen species. By delving deeper into these domains, researchers can enhance their understanding of TRPML1 and potentially open avenues for innovative disease interventions.

Dynamics of Multimodal Components in English Educational Discourse: the Case of “English Grammar in Use” by Raymond Murphy

This article aims to identify the linguistic features of English-language educational discourse in terms of structural, descriptive, semantic, and cognitive-pragmatic analyses. The relevance of the study stems from the need to identify trends in the representation of language components in modern grammar textbooks within the communicative-pragmatic paradigm of educational discourse. The authors focus on the linguosynergetic potential of the English grammar textbook “English Grammar in Use” by Raymond Murphy, manifested in changes of certain discourse markers in all five editions. Employing a multimodal discourse analysis methodology, this research scrutinizes the verbal and visual disparities—encompassing graphic elements, letter capitalization, italics, font, and color—that hold pragmatic value and fulfill various roles, from engagement to information conveyance. The authors also investigate the interference of advertising and educational discourses and the small-format nature of texts in this self-study textbook, whose hypertext structure and internal navigational system serve as a surrogate for teacher guidance, thereby performing a directive function. A diachronic analysis of communicative scenarios within the textbook’s exercises reveals the dynamic utilization of interjections, underscoring their importance in creating an emotive-expressive backdrop that facilitates the acquisition of grammatical phenomena, reflective of their real-world application. Thus, in an attempt to represent the features of natural communication and to avoid the use of linguistic terms, the author of the textbook presents complex grammatical material in the most accessible form for a wide audience. Consequently, the study highlights the textbook’s increasing emphasis on the personality-bound component, complementing the traditionally dominant status-oriented approach in educational discourse.

Trip Planner (using Generative AI)

The aim of this project is to develop an AI based travel planner that intends to alter planning and excursion encounters for people. Using sophisticated models and instructions for computers, such as statistical techniques applied in learning how humans learn best from their past experiences so they can anticipate future instances on them even when these are unknown for sure beforehand; data showing different types of transportation methods including those involving moving oneself put up for sale together with lodging places like hotels; field trips or tours where individuals can go out and participate in other events besides just sitting at home – all serving as input sources yielding recommendations specific enough standalone resources without being overly complex through averaging available data over time (Hong 2012). The In this regard, the trip planner will evaluate the personal user tastes, historical information concerning the destinations, as well as the contemporary pieces of advice on where to go today, where to get an accommodation or how to move by different types of vehicles, what to do. Besides, the system will support the natural language communication.

Design and development of a mixed reality application for aphasia rehabilitation: The ICMR-MiRAR project

BACKGROUND: Aphasia is an impaired ability to use language for communication after a brain damage. The primary means of intervention for aphasia – Speech-Language therapy (SLT) – usually involves didactic interaction between the Speech-Language therapist and the client, often without regard to the real-life environments in which the communication occurs. The provision of SLT in natural environments is beyond the scope of the conventional, clinic-based intervention setups. Using the technological advances, the Mixed Reality in Aphasia Rehabilitation (MiRAR) aims to make persons with aphasia (PwA) use their language in an ecologically valid and meaningful manner in natural communication contexts. AIM: This report aims to delineate the design and development of a Mixed Reality environment (MR: i.e., augmented + virtual realities (i.e., AR + VR)) to provide social communicative intervention for PwA. METHODS: We describe the concept and provide the details of the development and deployment of a communication-based mixed reality application for PwA in the Indian context. For this purpose, we generated 20 distinct communication scenarios and their scripts. These scenarios were implemented into the Mixed Reality environment with the help of a hired technical team. RESULTS: The 20 scenarios were successfully developed and deployed into the Mixed Reality environment for the purpose of communication intervention for PwA. The program consists of a web-based admin panel (for SLPs) and a Mixed Reality application (for the PwA). CONCLUSIONS: The MiRAR program is expected to foster the delivery of speech-language therapy in a meaningful, controlled and simulated environments by the SLPs, thus alleviating the practical restraints of conventional clinical setups. The clinical trial of this intervention program is planned in the next phase of this ongoing project.

The integration of Natural Language Processing (NLP) in Human-Robot Interaction (HRI) represents a significant advancement towards achieving more natural and effective communication between humans and robots. This research explores the application of state-of-the-art NLP techniques to enhance HRI, focusing on improving robots' abilities to understand and generate human language. Key components of our approach include advanced speech recognition, natural language

The integration of Natural Language Processing (NLP) in Human-Robot Interaction (HRI) represents a significant advancement towards achieving more natural and effective communication between humans and robots. This research explores the application of state-of-the-art NLP techniques to enhance HRI, focusing on improving robots' abilities to understand and generate human language. Key components of our approach include advanced speech recognition, natural language understanding (NLU), dialogue management, and natural language generation (NLG). We designed and implemented an HRI system that leverages models such as BERT for language understanding and GPT-3 for generating contextually appropriate responses. Our methodology involves integrating these NLP models with a robotics platform, ensuring real-time interaction capabilities while maintaining a high level of accuracy and context awareness. The system was evaluated through a series of user studies, measuring performance metrics such as accuracy, latency, and user satisfaction. Results indicate that our NLP-enhanced HRI system significantly improves the quality of interactions, demonstrating superior understanding and responsiveness compared to traditional systems. This paper discusses the implementation challenges, including computational constraints and ambiguity resolution, and provides insights into user feedback and system performance. Future work will focus on enhancing context management, exploring multimodal interaction, and addressing ethical considerations in deploying advanced HRI systems. Our findings underscore the potential of NLP to transform human-robot communication, paving the way for more intuitive and effective robotic assistants in various domains. Keywords: Human-Robot Interaction (HRI), Natural Language Processing (NLP), Conversational AI, Speech Recognition, Natural Language Understanding (NLU), Natural Language Generation (NLG), Multimodal Interaction, Dialogue Systems, Context Awareness, Emotion Recognition, Machine Learning in HRI, Personalized Interaction, User Experience (UX) in HRI, Human-Centered Design, Collaborative Robots (Cobots)

Gender perspective on intercultural competence: Communication and student self‐perceptions in higher education

AbstractThis study is focused on the analysis of online intercultural competence from a gender perspective. It uses online communications and student self‐perceptions to explore similarities and differences. Videoconferencing was used as a tool for communication in higher education. A quantitative and qualitative methodologies were applied, including quantifying content analysis. The sample consisted of pairs of university students. The results show very similar scores between men and women in communication and self‐perception in affective aspects. Statistical differences were found in the behavioural communication and in cognitive self‐perception. Communications of negative nature are scarce in both groups. This study helps to understand the similarities and differences in students' communication and self‐perception in an intercultural online context.

A Bibliometric Analysis of the Spatial Transcriptomics Literature from 2006 to 2023

In recent years, spatial transcriptomics (ST) research has become a popular field of study and has shown great potential in medicine. However, there are few bibliometric analyses in this field. Thus, in this study, we aimed to find and analyze the frontiers and trends of this medical research field based on the available literature. A computerized search was applied to the WoSCC (Web of Science Core Collection) Database for literature published from 2006 to 2023. Complete records of all literature and cited references were extracted and screened. The bibliometric analysis and visualization were performed using CiteSpace, VOSviewer, Bibliometrix R Package software, and Scimago Graphica. A total of 1467 papers and reviews were included. The analysis revealed that the ST publication and citation results have shown a rapid upward trend over the last 3 years. Nature Communications and Nature were the most productive and most co-cited journals, respectively. In the comprehensive global collaborative network, the United States is the country with the most organizations and publications, followed closely by China and the United Kingdom. The author Joakim Lundeberg published the most cited paper, while Patrik L. Ståhl ranked first among co-cited authors. The hot topics in ST are tissue recognition, cancer, heterogeneity, immunotherapy, differentiation, and models. ST technologies have greatly contributed to in-depth research in medical fields such as oncology and neuroscience, opening up new possibilities for the diagnosis and treatment of diseases. Moreover, artificial intelligence and big data drive additional development in ST fields.Graphical Spatial transcriptomics (ST) technologies and application prospects. (1) Imaging-based approaches, including in situ sequencing (ISS)—where transcripts are amplified and sequenced in tissue—and ISH-based approaches—where imaging probes are sequentially hybridized in tissue. (2) NGS-based techniques, in which positional information is encoded onto transcripts prior to NGS sequencing.

Envisioning User Agency During Development of a Website for Natural Hazard Communication

This study describes the pathways by which prospective users of a website for natural hazard communication experienced agency as user-centered design (UCD) participants. Formative interviews with residents, community managers, and outreach professionals revealed two pathways for agency during the design process—by directly influencing design changes and by indirectly affecting developers’ understanding of user needs—and previewed users’ potential agency during real-world use. Findings reveal how agential opportunities were constrained by UCD structure and choices of the development team. The authors discuss how supporting user agency during UCD can improve design and support buy-in for humanistic methods in interdisciplinary research teams.

How the readability of manuscript before journal submission advantages peer review process: Evidence from biomedical scientific publications

The practice of uploading preprints of scientific manuscripts prior to journal submission has become increasingly popular. As such, it is essential to understand the impact of the preprint version of a manuscript on the peer review process to facilitate the development of open peer review practices. In the current research, we analyze a dataset comprising 1,078 biomedical papers published in Nature Communications and eLife in 2019, along with their manuscript information posted on preprint servers and their peer review histories. Our investigation focuses on the relationship between the readability of manuscript before journal submission, as represented by preprints, and the sentimental features expressed by reviewers. Based on empirical analysis utilizing a linear regression model, it has been found that reviewers are inclined to express positive sentiments towards preprints characterized by technical language, as indicated by low value on the readability indices. Additional subgroup analysis suggests that this positive effect is more pronounced in papers with lower social and scientific impact, as indicated by online attention scores and scholarly views after publication, respectively. Overall, results of our analysis reveals that the utilization of technical language characterized by lower readability level in academic papers does not seem to hinder the peer review process in biomedical science, which has significant implications for the open peer review practice.

A bibliometric study of the intellectual base and global research hotspots for single-cell sequencing [2009–2022] in breast cancer

BackgroundBreast cancer is the most widespread malignant tumor worldwide. Single-cell sequencing technology offers novel insights and methods to understand the onset, progression, and treatment of tumors. Nevertheless, there is currently an absence of a thorough and unbiased report on the comprehensive research status of single-cell sequencing in breast cancer. This study seeks to summarize and quantify the dynamics and trends of research on breast cancer single-cell sequencing by bibliometric analysis. MethodsResearch articles and reviews related to breast cancer single-cell sequencing were selected from the WoSCC database. Visualization of data regarding countries, institutions, authors, references, and keywords was performed by CiteSpace and VOSviewer software. Results583 articles and reviews were analyzed in this study. The quantity of publications related to breast cancer single-cell sequencing has been increasing annually. These studies originate from 302 institutions in 46 countries, with YMAX S WICHA producing the most publications and WANG Y being the most cited author. Nature Communications is the most researched journal, while Nature holds the highest number of citations. These journals predominantly cover topics in the molecular/biological/immunological fields. Moreover, an analysis of reference and keyword bursts revealed that current research trends in this area are primarily centered on “clonal evolution,” “tumor microenvironment,” and “immunotherapy.” ConclusionBreast cancer single-cell sequencing is a rapidly growing area of scientific interest. Future research requires more frequent and in-depth collaborations among countries, institutions, and authors. Furthermore, “clonal evolution,” “tumor microenvironment,” and “immunotherapy” are likely to become major focal points in upcoming research on breast cancer single-cell sequencing.

Domain-based analysis of RUNX1somatic mutations in myeloid neoplasms.

6542 Background: RUNX1is a master regulator of hematopoiesis. ELN2022 risk stratification categorizes RUNX1 as an AML/MDS gene associated with poor prognosis. Functional domains in RUNX1are the Runt homology domain (RHD) and a transactivation domain (TAD), with DNA binding and co-activator recruitment functions, respectively. Domain-based analysis can elucidate the functional and biological impact of somatic RUNX1mutations, which have not yet been reported in the literature. Methods: Sequencing data from Karmanos Cancer Institute and a publicly available meta-analytic cohort [Awada et al., Blood 2021, Kewan et al., Nature Communications 2023, cBioPortal (Cerami et al., 2012) and AACR GENIE (v 13.1)] were used to construct a larger dataset of 16,565 patients with myeloid neoplasms. Baseline clinical and molecular characteristics were noted. The chi-square test was used to study various parameters described, and Kaplan-Meier curves were used to estimate survival. Results: RUNX1was mutated in 10.8% (1804/16,565) of patients. Median OS (mOS) for RUNX1MT vs. RUNX1WT was significantly worse at 16.4 vs 23.4 mos. (p < 0.0001). 990 patients with somatic mutations were studied; germline variants were screened and excluded if VAF was between 40-60%. Among somatic RUNX1MT patients, primary AML was the most frequent at 52.8%, followed by secondary AML-35.7% and MDS-9%. Most patients had mutations in the RHD (53.8%), followed by TAD (22%), and the remaining in non-RHD, non-TAD zones (NRNT). There was no statistically significant difference in OS by domain stratification; TAD had the numerically least mOS at 13.6 mos, RHD at 16.1 mos, and NRNT at 20.4 mos. The median age of patients was 70.9 (62-76) years, similar across domains. TAD patients were less likely to be male when compared to RHD (47% vs. 56%, p=0.04). No specific enrichment of disease type or abnormal karyotype was observed across domains. Co-mutational profiles across RHD and TAD domains among all diseases showed spliceosome co-signature enriched in RHD vs. TAD (59% vs. 46%, p=0.01). NPM1was noted to be inversely correlated with RUNX1 in general, with 1% and 3.5% in RHD and TAD. ASXL1was the most frequently distributed co-mutation in both groups, but not statistically different (41% vs. 33%, p=0.11). TAD patients with spliceosome co-mutation had worse mOS (11.4 mos) than those without spliceosome mutation (16.2 mos, p=0.02) or RHD patients with spliceosome co-mutation (16 mos, p=0.001). Missense mutations were strongly associated with RHD (55.3% vs. 7.9%); p <0.00001, while frameshift mutations were enriched in TAD (24.1% vs. 69.8%); p<0.0001. Conclusions: Domain-based analysis of somatic RUNX1MT myeloid neoplasms reveals TAD mutation to be common in females, frequently a frameshift mutation, and numerically has the worst survival. There appears to be a unique spliceosome signature enrichment in RHD compared to TAD, with worse OS in TAD patients with spliceosome co-mutations overall.

A phase 1 trial in progress for in situ immunomodulation with CDX-301, radiation therapy, poly-ICLC, and CDX-1140 in patients with unresectable and metastatic solid tumors.

TPS2697 Background: The prognosis for patients with unresectable and metastatic solid tumors that progress on standard of care therapy remains poor due to limited treatment options. Compelling evidence suggests that the induction and activation of tumor-residing conventional type-1 dendritic cells (cDC1) is critical to elicit anti-tumor immunity. Recently, we have demonstrated that a combinatorial regimen comprised of in situ delivery of Fms-like tyrosine kinase 3 ligand (Flt3L), radiation therapy (9Gy), and dual TLR3/CD40 stimulation 1) mobilizes cDC1 to the tumor microenvironment; 2) induces maturation of cDC1; 3) facilitates trafficking of cDC1 carrying tumor antigens to tumor-draining lymph nodes; 4) elicits de novo adaptive T cell immunity; 5) triggers regression of primary tumors, as well as non-irradiated distant tumors; and 6) develops tumor-specific systemic immunological memory using multiple syngeneic orthotopic murine models (1-4). Based on results from preclinical studies, we have initiated a phase 1 study as below. Methods: This is a phase 1 study of in situ immunomodulation with CDX-301 (Flt3L), radiation therapy, CDX-1140 and Poly-ICLC (dual CD40/TLR3 stimulation) in patients with unresectable and metastatic solid tumors. Eligibility for this study includes patients ≥ 18 yrs who have clinically or pathologically confirmed diagnosis of unresectable and metastatic melanoma, cutaneous squamous cell carcinoma, Merkel cell carcinoma, high-grade bone and soft tissue sarcoma or HER2/neu (-) breast cancer with no curative treatment options, and progressed on at least one line of standard systemic therapy. The unresectable disease to be irradiated and injected with medications must be located in breast, dermal, subcutaneous, or soft tissue, or lymph nodes with the longest axis of the tumor 2-7 cm, and should be considered safe for injection by the investigator. The metastatic disease must be measurable per irRECIST criteria. Patients will be treated with daily intratumoral injection of CDX-301 for 5 days (Day 1-5), radiation therapy (9Gy, Day 8) followed by administration of CDX-1140 and Poly-ICLC (Day 9). Up to 4 cycles of this combination therapy can be given every 3 weeks. The primary endpoints are safety/tolerability and to evaluate the MTD of for injection (intratumoral in the cohort A and intratumoral and intravenous in the cohort B) of CDX-1140. A standard 3+3 design, allowing for dose de-escalation, will be used within each cohort. Secondary endpoints are to evaluate immune signatures in blood and the tumor. This phase 1 trial opened to enrollment at the University of Southern California Norris Comprehensive Cancer Center in January 2023 (recruitment is currently 4 on February 6, 2024). 1. Nature Communications 2020. 2. J. Immunology 2021. 3. Cancer Research 2021. 4. Scientific Reports 2022. Clinical trial information: NCT04616248 .

Herbicide changes the role of body condition in mating interactions of a wolf spider but courtship is primarily affected by female immunity

AbstractAnimals that live in human‐impacted landscapes experience an onslaught of novel stimuli that may interfere with natural communication pathways. During mating, this interference may alter the criteria deployed to assess potential mates as males and females find they must shift their focus and emphasize alternative sensory modalities. The wolf spider, Tigrosa helluo (Araneae, Lycosidae) is common in agricultural fields where commercial formulations of herbicides with glyphosate as the active ingredient are regularly applied. With the development of genetically resistant crops, glyphosate‐based herbicides have become among the most widely used and heavily applied agricultural chemicals in the world. In a laboratory experiment, we explored the effects of this herbicide on male—female interactions during courtship, mating, and sexual cannibalism. We expected that it might impact assessment such that there was a shift in the features that were important to the outcome of mating interactions. When herbicide was present, female body condition, an indication of recent feeding success, became important to mating success. This result was, in part, due to higher rates of sexual cannibalism in parings of males and females with low body condition values. The leg raises and pedipalp waves that males perform in courtship were not affected by herbicide nor were they related to mating success but, across all treatments, they were negatively correlated with lytic activity of females as measured just prior to pairing. This result indicates that males detected this aspect of the female's physiology and that a strong immune response made the female less attractive, possibly because it indicated a current or recent infection. Taken together, these results verify that a common herbicide shifts mating criteria used by an agribiont spider and, separate from the herbicide, the immune status of females affects the reactions of courting males.

Speech Cloning: Text-To-Speech Using VITS

Voice is one of the most common and natural communication methods for humans. Voice is becoming the primary interface for AI voice assistants like Amazon Alexa, as well as in autos and smart home devices. Homes and so on. As human-machine communication becomes more common, researchers are exploring technology that mimics genuine speech. Speech cloning is the practice of copying or mimicking another person's speech, usually utilizing modern technology and artificial intelligence (AI). This entails producing a synthetic or cloned version of someone's voice that sounds very similar to the actual speaker. The objective is to produce speech that is indistinguishable from the genuine person, both in tone and intonation. Instant Voice Cloning (IVC) in text-to-speech (TTS) synthesis refers to the TTS model's capacity to copy the voice of any reference speaker based on a short audio sample, without requiring extra speaker-specific training. This method is usually referred to as zero-shot TTS. IVC provides users with the flexibility to tailor the generated voice, offering significant value across diverse real-world applications. Examples include media content creation, personalized chatbots, and multi-modal interactions between humans and computers or extensive language models.

Digital and analogue spaces of care: How older adults are redefining care practices in the COVID-19 pandemic

COVID-19 changed the way we care. Scholars have long argued that care often requires proximity, especially when it comes to care for, with, and by older adults. With lockdowns and the imposition of widespread public health guidelines aimed at curbing the spread of COVID-19, such as physically distancing and sheltering-in-place, in-person care practices became increasingly difficult. Yet, unlike disasters catalyzed by hurricanes or other natural hazards, physical and communications infrastructures remained largely intact during the pandemic. This situation opened the possibility for shifting care into digital spaces. In this paper, we study how older adults (aged 65 and up) in Canada and the USA navigated this abrupt turn towards digital spaces for care. Our findings are drawn from our larger mixed methods study investigating the everyday COVID-19 pandemic experiences of older adults, children, and teens, examining vulnerability, mobilities, and capacities. Not only are older adults frequently characterized as the recipients of care, but they are also typically (and erroneously) homogenized and stereotyped as vulnerable and tech-unsavvy. Exploring the ways in which older adults have provided, sought, received, avoided, and been denied care during the pandemic thus reveals the complex negotiations, contestations, and emancipatory possibilities of digital spaces of care. Our attention to the accessibility needs of diverse older adults serves as a vehicle for exploring issues of intersectionality in shaping digital care. We describe a range of digital care practices, ranging from telemedicine appointments and app-based communication to web-based volunteering and online social gatherings. We explore digital communication and connection between generations; the potential for such communication during the COVID-19 pandemic is unprecedented, in part due to the massive uptake of digital communication options such as online video conferencing programs. We discuss the mismatch between the possibilities made available through digital architectures and care practices, relations, needs, and desires of older adults. Drawing on feminist theorizations of care, we situate older adults as both givers and receivers of digital care and unpack the intertwining of their agency and vulnerability. Their innovations, spurred in part by diverse experiences with the ageing process, the pandemic, loneliness, joy, and frustrations with care in the digital sphere, suggest radical practices and spaces for inclusive care during and after the pandemic. What is radical about such care is that it is based on everyday, even mundane, elements that often go unremarked, rather than any flashy (monetized) innovations developed by technology companies.

Collective signalling is shaped by feedbacks between signaller variation, receiver perception and acoustic environment in a simulated communication network.

Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individual's social positioning affects group dynamics and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication network's structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and communication network position. Hearing sensitivity interacted with chorus size to affect both individuals' positions in the network and the acoustic output of the chorus. Physical proximity to competitors influenced signalling, but a distinctive communication network structure emerged when signal active space was limited. Our model raises novel predictions about communication networks that could be tested experimentally and identifies aspects of information processing in complex environments that remain to be investigated. This article is part of the theme issue 'The power of sound: unravelling how acoustic communication shapes group dynamics'.

Abstract IA002: Molecular subtypes of NMIBC

Abstract Non-muscle-invasive bladder cancers (NMIBCs) show large variation in disease aggressiveness which is not fully explained by differences in clinical and pathological factors. It is therefore essential to increase our understanding of the molecular landscape of NMIBC to improve risk assessment and identify potential therapeutic targets. In 2021, we published the four transcriptomic UROMOL2021 classes of NMIBC: class 1, class 2a, class 2b and class 3 (Lindskrog et al., Nature Communications, 2021). Multiple other subtyping schemes for NMIBC have been published, including, among others, the Lund taxonomy (Marzouka et al., The Journal of Molecular Diagnostics, 2022), the stage-stratified subtypes from Leeds (Hurst et al., Cell Reports Medicine, 2021) and BRS1-3 from Rotterdam (de Jong et al., Science Translational Medicine, 2023). In my presentation, I will give an overview of the development and status of NMIBC subtypes and discuss clinical utility. Furthermore, I will present novel data from the UROMOL cohort, where we have now performed a comprehensive genomic characterization of tumors using whole exome sequencing (n=438) and shallow whole genome sequencing (n=362). Overall, we observe a large genomic variation within NMIBC that is associated with different gene expression profiles (UROMOL2021 classes). We performed integrative clustering analysis of somatic mutations, copy number alterations and gene expression data for 230 tumors and identified four “iClusters”, which were highly prognostic and went beyond the single-layer stratifications of tumors. Multi-omics subtyping may improve our understanding of differences in disease aggressiveness within NMIBC further, which could ultimately be used to improve risk assessment of patients and identify potential therapeutic targets. Citation Format: Sia V. Lindskrog. Molecular subtypes of NMIBC [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr IA002.