Depression, anxiety, and burnout in academia: topic modeling of PubMed abstracts DOI Creative Commons
Olga Lezhnina

Frontiers in Research Metrics and Analytics, Journal Year: 2023, Volume and Issue: 8

Published: Nov. 27, 2023

The problem of mental health in academia is increasingly discussed literature, and to extract meaningful insights from the growing amount scientific publications, text mining approaches are used. In this study, BERTopic, an advanced method topic modeling, was applied abstracts 2,846 PubMed articles on depression, anxiety, burnout published years 1975–2023. BERTopic a modular technique comprising embedding method, dimensionality reduction procedure, clustering algorithm, weighing scheme for representation. A model selected based proportion outliers, interpretability considerations, coherence diversity metrics, inevitable subjectivity criteria discussed. with 27 topics explored visualized. evolved differently time: research papers students' pandemic-related anxiety medical residents' peaked recent years, while publications psychometric or internet-related problems yet be presented more amply. study demonstrates use analyzing literature sheds light areas field addressed by further research.

Language: Английский

Digital Twins: The New Frontier for Personalized Medicine? DOI Creative Commons
Michaela Cellina, Maurizio Cè, Marco Alì

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(13), P. 7940 - 7940

Published: July 6, 2023

Digital twins are virtual replicas of physical objects or systems. This new technology is increasingly being adopted in industry to improve the monitoring and efficiency products organizations. In healthcare, digital human (DHTs) represent copies patients, including tissues, organs, physiological processes. Their application has potential transform patient care direction personalized data-driven medicine. The use DHTs can be integrated with healthcare institutions organizational management processes resource allocation. By modeling complex multi-omics interactions between genetic environmental factors, help monitor disease progression optimize treatment plans. Through simulation, DHT models enable selection most appropriate molecular therapy accurate 3D representation for precision surgical planning, together augmented reality tools. Furthermore, they allow development tailored early diagnosis protocols targeted drugs. facilitate medical training education. creating anatomy physiology models, students practice procedures, enhance their skills, understanding body. Overall, have immense revolutionize improving outcomes, reducing costs, enhancing research However, challenges such as data security, quality, interoperability must addressed before widespread adoption healthcare. We aim propose a narrative review on this hot topic provide an overview applications diagnostics, but also related diffusion.

Language: Английский

Citations

68

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins DOI Creative Commons
Alexandre Vallée

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e50204 - e50204

Published: May 13, 2024

Digital twins have emerged as a groundbreaking concept in personalized medicine, offering immense potential to transform health care delivery and improve patient outcomes. It is important highlight the impact of digital on medicine across understanding health, risk assessment, clinical trials drug development, monitoring. By mirroring individual profiles, offer unparalleled insights into patient-specific conditions, enabling more accurate assessments tailored interventions. However, their application extends beyond benefits, prompting significant ethical debates over data privacy, consent, biases care. The rapid evolution this technology necessitates careful balancing act between innovation responsibility. As field continues evolve, hold tremendous promise transforming revolutionizing While challenges exist, continued development integration revolutionize ushering an era treatments improved well-being. can assist recognizing trends indicators that might signal presence diseases or forecast likelihood developing specific medical along with progression such diseases. Nevertheless, use human gives rise dilemmas related informed ownership, for discrimination based profiles. There critical need robust guidelines regulations navigate these challenges, ensuring pursuit advanced solutions does not compromise rights This viewpoint aims ignite comprehensive dialogue responsible advocating future where serves cornerstone personalized, ethical, effective

Language: Английский

Citations

23

Low-Cost Sensors Technologies for Monitoring Sustainability and Safety Issues in Mining Activities: Advances, Gaps, and Future Directions in the Digitalization for Smart Mining DOI Creative Commons
Carlos Cacciuttolo,

Valentina Guzmán,

Patricio Catriñir

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(15), P. 6846 - 6846

Published: Aug. 1, 2023

Nowadays, monitoring aspects related to sustainability and safety in mining activities worldwide are a priority, mitigate socio-environmental impacts, promote efficient use of water, reduce carbon footprint, renewable energies, mine waste, minimize the risks accidents fatalities. In this context, implementation sensor technologies is an attractive alternative for industry current digitalization context. To have digital mine, sensors essential form basis Industry 4.0, allow more accelerated, reliable, massive transformation, low-cost technology solutions may help achieve these goals. This article focuses on studying state art implementing monitor activities, through review scientific literature. The methodology applied was carried out by means Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines generating science mapping. For this, methodological procedure three steps implemented: (i) Bibliometric analysis as quantitative method, (ii) literature qualitative (iii) Mixed method integrate findings found (ii). Finally, according results obtained, main advances, gaps, future directions smart exposed. Digital transformation data measurement with real-time monitoring, wireless network systems, artificial intelligence, machine learning, twins, Internet Things, among other 4.0 era discussed.

Language: Английский

Citations

28

Virtual Teams: A Smart Literature Review of Four Decades of Research DOI Creative Commons
Takuma Kimura

Human Behavior and Emerging Technologies, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 20

Published: Feb. 22, 2024

The increasing utilization of virtual teams—driven by advancements in information and communication technology the forces globalization—has spurred significant growth both theoretical empirical research. Based on smart literature review framework, this study harnesses artificial intelligence techniques, specifically natural language processing topic modeling, to extensively analyze trends team research spanning last four decades. Analyses a dataset comprising 2,184 articles from Scopus-indexed journals discern 16 distinct topics, encompassing critical areas such as communication, leadership, trust. trajectory topics field has witnessed diversification over time. Key subjects learning, trust, leadership have consistently maintained their presence among ten most frequently explored topics. In contrast, emerging agile development patient care recently become some prominent themes. Employing state-of-the-art modeling technique, BERTopic, furnishes comprehensive dynamic panorama evolving landscape within

Language: Английский

Citations

11

Experimental Comparison of Three Topic Modeling Methods with LDA, Top2Vec and BERTopic DOI

Lin Gan,

Tao Yang, Yifan Huang

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 376 - 391

Published: Jan. 1, 2024

Language: Английский

Citations

10

Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine DOI Open Access

Konstantinos Papachristou,

Paraskevi Katsakiori, Panagiotis Papadimitroulas

et al.

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 1101 - 1101

Published: Nov. 11, 2024

This review examines the significant influence of Digital Twins (DTs) and their variant, Human (DHTs), on healthcare field. DTs represent virtual replicas that encapsulate both medical physiological characteristics-such as tissues, organs, biokinetic data-of patients. These models facilitate a deeper understanding disease progression enhance customization optimization treatment plans by modeling complex interactions between genetic factors environmental influences. By establishing dynamic, bidirectional connections physical objects digital counterparts, these technologies enable real-time data exchange, thereby transforming electronic health records. Leveraging increasing availability extensive historical datasets from clinical trials real-world sources, AI can now generate comprehensive predictions future outcomes for specific patients in form AI-generated DTs. Such also offer insights into potential diagnoses, progression, responses. remarkable paves way precision medicine personalized health, allowing high-level individualized interventions therapies. However, integration faces several challenges, including security, accessibility, bias, quality. Addressing obstacles is crucial to realizing full DHTs, heralding new era personalized, precise, accurate medicine.

Language: Английский

Citations

9

Digital twins and 3D information modeling in a smart city for traffic controlling: A review DOI Open Access
Zahra Rezaei, Mohammad H. Vahidnia, Hossein Aghamohammadi

et al.

Journal of Geography and Cartography, Journal Year: 2023, Volume and Issue: 6(1), P. 1865 - 1865

Published: Jan. 4, 2023

The idea of a smart city has evolved in recent years from limiting the city’s physical growth to comprehensive that includes physical, social, information, and knowledge infrastructure. As right now, many studies indicate potential advantages cities fields education, transportation, entertainment achieve more sustainability, efficiency, optimization, collaboration, creativity. So, it is necessary survey some technical technology establish digitize its services. Traffic transportation management, together with other subsystems, one key components creating city. We specify this research by exploring digital twin (DT) technologies 3D model information context traffic management as well need acquire them modern world. Despite abundance field, majority concentrate on aspects design diverse sectors. More details are required application DTs creation intelligent systems. Results literature implementing Internet Things (IoT) scope addresses issues densely populated somewhat affects air pollution reduction caused Leading countries moving towards integrated systems platforms using Building Information Modelling (BIM), IoT, Spatial Data Infrastructure (SDI) make smarter. There been limited control. One reason for could be complexity system, which involves multiple variables interactions between different components. Developing an accurate control would require significant amount data collection analysis, advanced modeling techniques account dynamic nature flow. explore requirements implementation industry proper architecture based 6 main layers investigated deployment system. In addition, emphasis particular function DT simulating high flow, keeping track accidents, choosing optimal path vehicles reviewed. Furthermore, incorporating user-generated content volunteered geographic (VGI), considering human sensor, IoT can future direction provide up-to-date representation environment, especially control, according review. results show there limitations twins current only real difficulty synchronizing virtual world another challenge. Eventually, order employ effectively feasible urban researchers must address these drawbacks.

Language: Английский

Citations

19

A Framework for Communicating and Building a Digital Twin Model of the Electric Car DOI Creative Commons
Tomasz Bednarz, A. Baier, Iwona Paprocka

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(5), P. 1776 - 1776

Published: Feb. 22, 2024

The Fourth Industrial Revolution has had a huge impact on manufacturing processes and products. With rapidly growing technology, new solutions are being implemented in the field of digital representations physical product. This approach can provide benefits terms cost testing time savings. In order to test reflect operation an electric car, twin model was designed. paper collects all information standards necessary transform idea into real virtual car. significance study improvement project described. research stand, correlations components (DC AC motors, shaft, wheel car), development prospects presented paper. communication method with stand is also presented. should communicate time, which means obtaining correct output when input changes; motor current, rotational speed DC motor. relation between inputs outputs tested. kinematics car modelled LabVIEW. results obtained compared historic racing data. track modeled based satellite data, taking account changes terrain height, using SG Telemetry Viewer application. parameters engine tuned actual data car’s current achieved then discussed.

Language: Английский

Citations

6

Modeling New Trends in Bone Regeneration, using the BERTopic Approach DOI
Stefano Guizzardi, Maria Teresa Colangelo, Prisco Mirandola

et al.

Regenerative Medicine, Journal Year: 2023, Volume and Issue: 18(9), P. 719 - 734

Published: Aug. 14, 2023

Aim: Bibliometric surveys are time-consuming endeavors, which cannot be scaled up to meet the challenges of ever-expanding fields, such as bone regeneration. Artificial intelligence, however, can provide smart tools screen massive amounts literature, and we relied on this technology automatically identify research topics. Materials & methods: We used BERTopic algorithm detect topics in a corpus MEDLINE manuscripts, mapping their similarities highlighting hotspots. Results: Using BERTopic, identified 372 were able assess growing importance innovative recent fields investigation 3D printing extracellular vescicles. Conclusion: appears suitable tool set automatic screening routines track progress

Language: Английский

Citations

14

Concept for Digital Product Twins in Battery Cell Production DOI Creative Commons
Achim Kampker, Heiner Hans Heimes,

Benjamin Dorn

et al.

World Electric Vehicle Journal, Journal Year: 2023, Volume and Issue: 14(4), P. 108 - 108

Published: April 13, 2023

This paper presents an approach for the design and derivation establishing a digital product twin battery cells. A is virtual replica of physical cell can be used to predict optimize quality properties performance in real-time. The study focuses on pouch manufacturing aims map large amount variety process information down purchased parts interim products. this was collect analyze data from production use structure based its architecture. main findings indicate that effectively structured implemented interface architecture combination with process. results show potential twins, which statements about material, design, behavior made using real production. Further research will focus practical application implementation twins pilot

Language: Английский

Citations

13