Mendeley Data Showcase

En este trabajo se evidencian todos los hallazgos obtenidos en la investigación llamada «Tratamiento periodístico del fútbol femenino peruano y su nivel de cobertura en la web del diario Depor durante el 2025». En ella se podrán encontrar los resultados de las entrevistas realizadas a expertos en periodismo deportivo, así como los resultados de las encuentas realizadas al público. Por ultimo, tambien aparecerán las fichas de observación realizadas a las notas vinculadas al futbol femenino en el medio digital seleccionado.

The Industry Scope Review Dataset brings together studies analyzed in systematic or scoping reviews on Industry 5.0. It includes structured information on scientific articles, enabling technologies, application sectors, methodologies used, and links to sustainability and SDGs, enabling mapping of trends, human approaches, and research gaps in emerging industrial ecosystems.

This bibliometric investigation provides an in-depth overview of how scholarship on the mental health of healthcare workers has evolved across a twenty-five-year period. Rather than merely summarizing publication counts or citation patterns, the description offers a broader narrative of how the field has transformed, the scholarly communities driving it, and the structural shifts that have shaped research priorities globally. By sourcing data exclusively from the Web of Science core indexes, the study ensures high-quality, peer-reviewed literature, enabling a rigorous examination of how academic attention to healthcare workers’ psychological wellbeing has grown in scope and complexity. The use of advanced mapping tools such as Biblioshiny, VOSviewer, and CiteSpace allows the analysis to uncover hidden intellectual structures—revealing clusters of frequently co-cited authors, thematic concentrations, and collaborative networks linking countries and institutions. These visualizations illustrate how conversations have expanded from stress, burnout, and occupational strain to more nuanced constructs such as compassion fatigue, resilience, trauma exposure, and post-pandemic recovery. They also highlight shifting research priorities around global health emergencies, public health reforms, and debates on workforce safety. Beyond identifying prolific authors and institutions, the study traces how academic influence has shifted geographically, revealing strong international engagement in mental health scholarship. Patterns of cross-border collaboration illuminate how scientific communities respond to shared challenges, especially during crisis periods when healthcare workers face unprecedented psychological demands. The narrative further emphasizes the role of leading journals in shaping discourse by providing platforms for empirical, conceptual, and intervention-based studies. This extended description positions the bibliometric results within a broader context: the growing recognition of mental health as a critical determinant of healthcare system performance. It underscores how sustained research growth mirrors increasing global concern for the wellbeing of professionals who form the backbone of medical care. The findings collectively suggest a field that is expanding, diversifying, and becoming more interconnected, offering valuable insights for policymakers, practitioners, and scholars seeking to advance supportive strategies for doctors, nurses, and allied health personnel.

This dataset contains vibration signals collected from a three-phase asynchronous electric motor operating under various health and fault conditions. The data were acquired from an experimental test bench developed at the Electrotechnical Laboratory of the IUT of Douala. Vibration measurements were obtained using a high-sensitivity piezoelectric sensor (approximately 100 mV/g, bandwidth 0.5 Hz–10 kHz) mounted on the motor shaft. The analog signals were digitized using an Arduino Uno microcontroller equipped with a 10-bit analog-to-digital converter (ADC), producing values ranging from 0 to 1023. Data acquisition was performed at a sampling frequency of 5 kHz. The dataset consists of approximately 1.6 million data points distributed across five operating conditions: normal operation and four mechanical fault types (ball fault, ring fault, bearing fault, and shaft fault). Each fault condition is further characterized by two severity levels (“speed 1” and “speed 2”), resulting in nine distinct states. Each condition contributes approximately 200,000 data points. The dataset is structured into four main variables: time (timestamp), vibration signal, fault type, and severity level. For machine learning applications, the data are provided in CSV format and organized into training, validation, and test subsets, ensuring a balanced and representative distribution of all classes. To enhance realism and robustness, Gaussian white noise has been added to the signals, simulating industrial operating environments. The dataset is suitable for applications in fault diagnosis, condition monitoring, and predictive maintenance using machine learning and deep learning techniques.

This dataset is associated with the dissertation by Monique Oliveira, titled “Experiences, Perceptions, and Beliefs of Physiotherapists on Pain and Physiotherapeutic Management in Patients with Fibromyalgia: A Qualitative Study Using Content Analysis of Interviews.” As part of this project, it includes the study “Physiotherapists' Perspectives on Exercise Prescription in Fibromyalgia: A Qualitative Study,” which focuses on exercise prescription by physiotherapists for patients with fibromyalgia. The dataset contains interview transcripts, field notes, control spreadsheets, audio recordings, and other supporting materials used in the qualitative research. Data were collected to explore physiotherapists’ perspectives and practices in managing exercises for patients with fibromyalgia, enabling detailed analyses of strategies, challenges, and clinical experiences. The files are organized to facilitate replication and further research.

The Law of Recursion: A First Principle of Systemic Exchange — Don L. Gaconnet, LifePillar Institute for Recursive Sciences This paper introduces the Law of Recursion as a first principle governing all active systemic exchange. The law states that any process of transmission, transformation, or generation within or between systems requires a mandatory traversal across a seven-node topological path: interior (1a), membrane (M1), exterior (1b), shared substrate (S), exterior (2b), membrane (M2), interior (2a). Each traversal comprises six discrete transitions, and each completed traversal rewrites the architecture it travels through such that subsequent traversals encounter altered conditions. Full recursive coupling requires three traversals (18 transitions): signal, response, and coupled action. The law operates in two expressions: internal recursion between sub-components of a single system, and external recursion between distinct systems through a shared substrate. External recursion always presupposes internal recursion. The law is subjected to six falsification tests drawn from quantum mechanics, crystallography, cellular biology, nuclear physics, quantum field theory, and astrophysics. All six tests fail to falsify the law. The falsifiability criterion is established: the absence of recursion corresponds to inert matter in its ground state, which is empirically observable and structurally distinct from all active systems. The Law of Recursion is the foundational principle from which the Echo-Excess Principle, the Universal Five-Operation Generative Cycle, the Law of Obligated Systems, and Cognitive Field Dynamics are derived as downstream operations. Author: Don L. Gaconnet ORCID: 0009-0001-6174-8384 DOI: 10.17605/OSF.IO/MVYZT Institution: LifePillar Institute for Recursive Sciences Keywords: law of recursion, first principle, seven-node topology, recursive exchange, rewriting principle, membrane traversal, falsifiability, inert matter, systems theory, recursive sciences, structural coupling, generative systems, Don Gaconnet, LifePillar Institute Categories: Theoretical Physics, Mathematical Physics, Philosophy of Science, Complex Dynamical Systems, Computational Mathematics

Paper 1 of 8: The Law of Recursion Applied Across Domains — Don L. Gaconnet, LifePillar Institute for Recursive Sciences This paper applies the Law of Recursion to cosmology and demonstrates that the nucleosynthetic sequence Hydrogen → Carbon → Oxygen is not a historical contingency but a thermodynamic necessity. The triadic minimum required for any recursive architecture demands exactly three functional roles: medium (relational ground), structure (scaffold), and boundary (selective membrane). Only three elements fulfill these roles: Hydrogen as medium, Carbon as structure, and Oxygen as boundary. The argument proceeds in four stages: (1) the triadic minimum of the Echo-Excess Principle requires exactly three functional components; (2) these functional roles map uniquely onto material elements; (3) stellar nucleosynthesis necessarily produces these elements in the required sequence; (4) no alternative elemental triad satisfies the functional requirements. The universe does not merely permit recursive architecture — it requires it. The material conditions for life are structural necessities derivable from first principles. Author: Don L. Gaconnet | ORCID: 0009-0001-6174-8384 | DOI: 10.17605/OSF.IO/MVYZT Keywords: law of recursion, nucleosynthesis, cosmology, triadic minimum, hydrogen, carbon, oxygen, cosmological necessity, Echo-Excess Principle, material identity, stellar nucleosynthesis, Big Bang, triple-alpha process, recursive sciences, Don Gaconnet Categories: Cosmology, Theoretical Physics, Philosophy of Science, Astrophysics

This dataset provides the supplemental bibliography for the manuscript "Marjolin Ulcers arising in the Setting of Discoid Lupus Erythematosus among Skin of Color Patient Populations: A Literature Review." The included sources are organized and sorted by patient racial profile.

The file used to analyze the structure of the pevroskite