Mendeley Data Showcase

RESUMEN Objetivo: Construir una teoría de situación específica sobre la transición de la paternidad a partir de la metodología de derivación teórica. Método: Derivación teórica según metodología de Walker y Avant; desde teorías principales y bajo la estrategia de identificación de analogías se redefine y definen conceptos de una nueva teoría. Este proceso inició con una revisión de alcance, seguido de un análisis profundo de la teoría de las transiciones y finalmente con la construcción descriptiva y diagramada de la teoría. Resultados: Se generó la teoría específica de transición a la paternidad, en donde se conceptualizan el rol de paternidad y la transición a la paternidad, se describen los determinantes y dimensiones de la transición, se definen sus características y se conceptualiza el cuidado de enfermería en la determinación y en la transición. Conclusión: Desde la mirada de esta teoría específica, la transición a la paternidad en un proceso dinámico y no un fin absoluto.

Supplementary material accompanying the scoping review on factors associated with no-show rates in U.S. dermatology clinics, including PRISMA-ScR methods, database search strategies, supplementary results, tables, and references.

This dataset contains anonymized written reports produced by undergraduate students enrolled in a Work Organization course in Industrial Engineering. The data were collected across three instructional iterations of a simulation-based learning intervention in which students interacted with a Large Language Model (LLM) agent configured on the ChatGPT platform (model GPT-4) to simulate an organizational context in the sugarcane-energy sector. The dataset supports the findings reported in an article (being reviewed) which investigates how the pedagogical integration of LLMs, when supported by deliberate instructional design, contributes to learning effectiveness through the lens of Cognitive Load Theory (CLT). Dataset structure: The dataset is organized in a single plain-text file (.txt) consolidating all three activity cycles, with each participant's submission clearly delimited by activity label, participant code, and file format (PDF or DOCX). All personally identifiable information — including student names and institutional ID numbers — has been replaced by anonymized codes ([anonymized] and [id_removed]) in compliance with ethical research requirements. Activity 1 – Group Simulation (in-class, 50 min): 23 digital submissions. Students worked in groups with low scaffolding, producing an interview guide and an initial organizational diagnosis of the simulated company. One additional submission was delivered in physical (handwritten) format and is not included in this repository. Total submissions reported in the associated article: 24. Activity 2 – Individual Consultancy Simulation (in-class, 80 min): 68 submissions. Students worked individually as consultants, producing structured field-visit reports grounded in Lean Production concepts, supported by high scaffolding and instructor mediation. The associated article analyzed 67 submissions; the additional file corresponds to a late submission not included in the study's performance analysis. Activity 3 – Individual Extended Diagnostic Analysis (out-of-class, 1 week): 64 submissions. Students produced autonomous diagnostic reports integrating multiple production models (Taylorism, Fordism, Lean, Sociotechnical), with medium scaffolding and no in-class mediation. The associated article analyzed 63 submissions; the additional file corresponds to a late submission not included in the study's performance analysis. Total submissions: 155 digital anonymized written reports across three activities.

Data from: From vector to barrier: Infrastructure modernization decouples forest fire regimes from climate in southwestern China

This dataset presents the development and characterization of magnesium-substituted calcium phosphate cements intended for applications in bone tissue engineering. It includes an analysis of how compositional modifications influence the physicochemical properties of the materials, such as setting kinetics, structural features, and phase stability. The dataset also provides evaluation of mechanical properties and bioactivity, highlighting the role of magnesium ions in shaping the microstructure and functional performance of the cements. The work was supported by the National Science Centre, Poland, under the research project “Hierarchical approaches for osteochondral tissue engineering”, no. UMO-2022/45/B/ST8/02557.

These data represent the initial conditions for the case study in this paper. They can be simulated using the open-source CFD software OpenFOAM to obtain the numerical results presented in this paper.

Data that led to the writing of two papers (S2.1 - LUNG FUNCTION CHANGES WITH SWIM TRAINING IN HEALTHY AND ALLERGIC ENDURANCE ATHLETES, and S2.2 - BODY POSITION AND IMMERSION ASSOCIATE WITH LUNG FUNCTION DIFFERENTLY IN HEALTHY AND ASTHMATIC ENDURANCE ATHLETES) Data of the first paper uses the percentage of GLI reference values and z-scores to perform independent samples tests Data of the second paper uses the raw data to perform tests across different moments

This project is an integrated open-source platform for the resistance welding of thermoplastic composites, featuring automated pressure control, real-time instrumentation, and automated data logging. The system is designed as a low-cost, self-contained alternative to expensive industrial welding stations. The hardware consists of a modular aluminum frame and an insulated wooden welding base to prevent electrical and thermal leakage. Pressure is managed via an autonomous feedback loop using an Arduino-controlled linear actuator and a load cell. The system is operated through a dedicated Python-based GUI that provides high-fidelity process control and monitoring: • Real-time Visualization: The software displays a live graph of Voltage (V) vs. Time during the welding cycle. • Advanced Data Acquisition: It monitors temperature via a Type-K thermocouple and captures voltage and power output, calculating power density and electrical resistance of the heating element in real-time. • Automated Reporting: At the end of each process, the software automatically generates two types of files: 1. PDF Report: A comprehensive summary including process parameters, specimen dimensions, and the final voltage/time graph. 2. Raw Data Log: A text file (.txt) containing synchronized readings of Voltage (V), Current (A), Power (W), Pressure (MPa), and Temperature (ºC) sampled every second. Power is supplied by a Huawei R4850G2 rectifier and a JUNTEK DPM8624 converter, fully integrated into the Python control logic to ensure precise manufacturing data and repeatable weld quality.