Resultados de investigación

This paper presents a new synthetic dataset openly available at https://www.uma.es/robotics-and-mechatronics/info/132852/negs-ugv-dataset obtained from Gazebo simulations of an Unmanned Ground Vehicle (UGV) moving on different natural environments. To this end, a Husky mobile robot equipped with a tridimensional (3D) Light Detection and Ranging (LiDAR) sensor, a stereo camera, a Global Navigation Satellite System (GNSS) receiver, an Inertial Measurement Unit (IMU) and wheel tachometers has followed several paths using the Robot Operating System (ROS). Both points from LiDAR scans and pixels from camera images, have been automatically labeled into their corresponding object class. For this purpose, unique reflectivity values and flat colors have been assigned to each object present in the modeled environments. As a result, a public dataset, which also includes 3D pose ground-truth, is provided as ROS bag files and as human-readable data. Potential applications include supervised learning and benchmarking for UGV navigation on natural environments. Moreover, to allow researchers to easily modify the dataset or to directly use the simulations, the required code has also been released, This work was partially supported by the Andalusian project UMA18-FEDERJA-090 and by the Spanish project RTI2018-093421-B-I00.

The UMAHand Dataset comprises a main directory and three subdirectories: TRACES (containing measurements), VIDEOS (containing video sequences) and SCRIPTS (with two scripts that automate the downloading, unzipping and processing of the dataset). The main directory also includes three descriptive plain text files and an image: • "readme.txt": this file is a brief guide of the dataset which describes the basic characteristics of the database, the testbed or experimental framework used to generate it and the organization of the data file. • "user_characteristics.txt": which contains a line of six numerical (comma-separated) values for each participant describing their personal characteristics in the following order: 1) an abstract user identifier (a number from 01 to 25), 2) a binary value indicating whether the participant is left-handed (0) or right-handed (1), 3) a numerical value indicating gender: male (0), female (1), undefined or undisclosed (2), 4) the weight in kg, and 5) the height in cm and 6) the age in years. • "activity_description.txt": For each activity, this text file incorporates a line with the activity identifier (numbered from 01 to 29) and an alphanumeric string that briefly describes the performed action. • "sensor_orientation.jpg": a JPEG-type image file illustrating the way the sensor is carried and the orientation of the measurement axes. The TRACE subfolder with the data is, in turn, organized into 25 secondary subfolders, one for each participant, named with the word "output" followed by underscore symbol (_) and the corresponding participant identifier (a number from 1 to 25). Each subdirectory contains one CSV (Comma Separated Values) file for each trial (each repetition of any activity) performed by the corresponding volunteer. The filenames with the monitored data follow the following format: "user_XX_activity_YY_trial_ZZ.csv" where XX, YY, and ZZ represent the identifiers of the participant (XX), the activity (YY) and the repetition number (ZZ), respectively. In the files, which do not include any header, each line corresponds to a sample taken by the sensing node. Thus, each line of the CSV files presents a set of the simultaneous measurements captured by the sensors of the Shimmer mote at a certain instant. The values in each line are arranged as follows: •Timestamp, Ax, Ay, Az, Gx, Gy, Gz, Mx, My, Mz, P where: -Timestamp is the time indication of the moment when the following measurements were taken. Time is measured in milliseconds elapsed since the start of the recording. Therefore, the first sample, in the first line of the file, has a zero value while the rest of the timestamps in the file are relative to this first sample. -Ax, Ay, Az are the measurements of the three axes of the triaxial accelerometer (in g units). -Gx, Gy, Gz indicate the components of the angular velocity measured by the triaxial gyroscope (in degrees per second or dps). -Mx, My, Mz represent the 3-axis data in microteslas (µT) captured by the magnetometer. -P is the measurement of pressure in millibars. Besides, the VIDEOS directory includes 29 anonymized video clips that illustrate with the corresponding examples the 29 manual activities carried out by the participants. The video files are encoded in MPEG4 format and named according to the format "Example_Activity_XX.mp4", where XX indicates the identifier of the movement (as described in the activity_description.txt file). Finally, the SCRIPTS subfolder comprises two scripts written in Python and Matlab. These two programs (named Load_traces), which perform the same function, are designed to automate the downloading and processing of the data. Specifically, these scripts perform the following tasks: 1. Download the database from the public repository as a single compressed zip file. 2. Unzip the aforementioned file and create the subfolder structure of the dataset in a specific directory named UMAHand_Dataset. As previously commented, in the subfolder named TRACES, one CSV trace file per each experiment (i.e. per each movement, user, and trial) is created. 3. Read all the CSV files and store their information in a list of dictionaries (Python) or a matrix of structures (Matlab) named datasetTraces. Each element in that list/matrix has two fields: the filename (which identifies the user, the type of performed activity, and the trial number) and a numerical array of 11 columns containing the timestamps and the measurements of the sensors for that experiment (arranged as mentioned above). All experiments and data acquisition were conducted in private home environments. Participants were asked to perform those activities involving sustained or continuous hand movements (e.g. clapping hands) for at least 10 seconds. In the case of brief and punctual movements, which might require less than 10 seconds (e.g. picking up an object from the floor), volunteers were simply asked to execute the action until its conclusion. Thus, a total of 752 samples were collected, with durations ranging from 1.98 to 119.98 seconds., The objective of the UMAHand dataset is to provide a systematic, Internet-accessible benchmarking database for evaluating algorithms for the automatic identification of manual activities. The database was created by monitoring 29 predefined activities involving specific movements of the dominant hand. These activities were performed by 25 participants, each completing a certain number of repetitions. During each movement, participants wore a 'mote' or Shimmer sensor device on their dominant hand's wrist. This sensor, comparable in weight and volume to a wristwatch, was attached with an elastic band according to a predetermined orientation. The Shimmer device contains an Inertial Measurement Unit (IMU) with a triaxial accelerometer, gyroscope, magnetometer, and barometer. These sensors recorded measurements of acceleration, angular velocity, magnetic field, and atmospheric pressure at a constant sampling frequency of 100 Hz during each movement., Spanish Ministry of Science, Innovation, and Universities, NextGenerationEU/PRTR Funds, Universidad de Málaga, Campus de Excelencia Internacional Andalucia Tech, ED2021-130456B-I00, B4-2023-12

Background: Problematic Internet Use (PIU) has become a significant concern among adolescents. While previous studies have examined individual predictors of PIU, the role of teachers' emotionally intelligent behaviors (TEIB) in mitigating PIU remains unexplored. Objective: This research aims to examine the underlying mechanisms in the link between TEIB and PIU through a serial mediation model involving teacher-student relationships (TSR) and stress in two independent studies. Methods: Two studies with Spanish adolescents were conducted: a cross-sectional study (N = 1,966) and a 9-month prospective study (N = 517). TEIB, TSR, stress symptoms (Study 1), perceived stress (Study 2), and PIU were assessed. Results: In both studies, TEIB was positively associated with TSR and negatively associated with stress and PIU. The serial mediation path was significant: TEIB predicted higher TSR, which in turn was linked to lower stress levels, thereby reducing PIU. In Study 1, both simple and serial mediation effects were significant, whereas in Study 2, only the serial mediation effect was supported. Conclusion: These findings highlight the importance of teachers' emotionally intelligent behaviors in reducing students’ PIU. Schools should consider implementing emotional skills training programs for teachers to foster supportive teacher-student relationships and promote healthier online behaviors among adolescents. Finally, school-based recommendations for teachers to prevent adolescents from PIU are suggested in the light of our findings., This work was part of the R+D+i project PID2020-117006RB-I00, funded by MCIN/AEI/10.13039/501100011033/ and Group CTS-1048G-FEDER (Junta de Andalucía). The first author was supported by Spanish Ministry of Universities (FPU21/02323).

The dataset consists of a table of 364 inscriptions from Baetica in which one or more divinities are mentioned. It records information on the inscriptions, the deities mentioned, the dedicants involved, their classification according to the categories used in the article, and the locality where each inscription was found. In addition to the raw data, the file contains three further sheets with the numerical matrices used for the network analyses. These matrices were generated in Excel through a series of pivot tables and subsequently imported into Visone 2.28, a free software package for network analysis, in order to produce the network visualisations and calculations. They correspond to two one-mode networks, applied respectively to divinities and dedicants, and one two-mode network connecting dedicants and deities., This repository contains the dataset supporting the quantitative network analysis presented in the book chapter "Esclavitud y dependencia en las manifestaciones religiosas de la Bética: una aproximación desde la teoría de redes", which examines the relationships between dedicants and divinities in the religious epigraphy of the Roman province of Baetica. Particular attention is paid to slavery, dependence, gender, and socio-juridical status as categories for exploring patterns of religious interaction among different groups of devotees.

El objetivo del estudio es desarrollar, implementar, y analizar la efectividad de una intervención psicoeducativa basada en la práctica del mindfulness para prevenir la obesidad infantil y mejorar los hábitos alimenticios. Para ello se llevó un estudio durante más de 6 meses en el que participaron 207 menores entre 7 y 11 años, con un diseño pre-post con seguimiento y grupo control. Se implementó el Mindful Eating Programme for Childhood Obesity Prevention (MEPCOP), con el objetivo de mejorar los hábitos alimenticios de los menores. El programa estaba compuesto de ocho sesiones de una hora, que se llevaban a cabo en el aula de diferentes escuelas de educación primaria. Se realizaron diferentes análisis de varianza (ANOVA) de medidas parcialmente repetidas con un factor intersujeto (el tratamiento: grupo control y grupo experimental) y un factor intrasujeto (el momento de intervención: pre, post, y seguimiento). Como variables dependientes se incluyeron la adherencia a la dieta mediterránea, las habilidades de mindfulness, y la alimentación consciente (cata consciente y alimentación inconsciente). Los resultados mostraron que tras la intervención mejoraron la adherencia a la dieta mediterránea, las habilidades de mindfulness, y que hubo un decremento de la alimentación inconsciente (mejora de alimentación consciente). Los resultados indican que el MEPCOP es efectivo para mejorar los hábitos alimenticios de los menores. A pesar de ello, se deben realizar más estudios para confirmar y apoyar la generalización de estos resultados., Departamento de Psicología Evolutiva y de la Educación. Universidad de Málaga

This dataset contains scripts and associated data used to deploy, configure, and operate an Open Radio Access Network (O-RAN) environment based on the srsRAN software stack. It includes Python and shell scripts for automating network deployment, managing system components, and executing experiments. The dataset also incorporates tools for parsing network logs and a simulation framework that enables real-time reproduction of previously recorded experiments. This allows controlled and reproducible analysis of network behaviour under consistent conditions

Los pacientes con demencia presentan dificultades alimentarias (DF) desde el diagnóstico, condicionando su evolución. Identificarlos tempranamente es vital para implementar medidas preventivas y evitar un deterioro más pronunciado por problemas nutricionales. La Escala de Evaluación de la Alimentación en Demencia de Edimburgo (EdFED) identifica las DF de los pacientes con demencia mediante el estudio de sus comportamientos mientras comen o son alimentados. También indica áreas de posibles intervenciones clínicas. El objetivo de este estudio es evaluar la capacidad de respuesta de la escala EdFED a lo largo del tiempo en personas mayores con deterioro cognitivo y comparar la efectividad en la identificación de desnutrición y riesgo con el método MNA estándar de oro. Métodos Estudio multicéntrico, prospectivo, observacional, longitudinal, analítico con un período de seguimiento de 18 meses (participaron pacientes de residencias de ancianos y de la comunidad). Se recogieron datos sociodemográficos, la escala EdFED fue reportada por enfermeros, asistentes y cuidadores familiares y se realizó valoración nutricional y antropométrica; IMC, MNA, antebrazo (FC) y circunferencia de pantorrilla (CC). Finalmente se realizó un análisis de sangre nutricional. Se realizó un análisis exploratorio para obtener estadísticas descriptivas. Se calcularon medidas test-retest. Se realizó un análisis interobservador kappa. Se determinaron los coeficientes de correlación de concordancia y los resultados de la prueba de Bland-Altman. La capacidad de respuesta se evaluó calculando medidas de distribución y aplicando un enfoque basado en anclajes y comparado con MNA. Los resultados sugieren que la escala EdFED es una herramienta útil para evaluar las dificultades alimentarias (DF) en personas mayores con demencia. Demostró buena sensibilidad y especificidad para detectar la desnutrición, similar a la MNA y, lo que es más importante, para detectar riesgos y también puede identificar cambios, Estudio financiado por la Consejería de Salud de la Junta de Andalucía AP-0065-2020-C1-F2. S0495

Datos pertenecientes a una investigación sobre ansiedad futura en jóvenes, Grupo de investigación CTS-110

This file makes data available in a public repository from the PlosOne article titled: Cell survival and differentiation with nanocrystalline glass-like carbon using substantia nigra dopaminergic cells derived from transgenic mouse embryos. Rodriguez-Losada, N et al. 2017, 1. Funds from the University of Malaga and Campus de Excelencia Internacional Andalucía Tech (UMA) 2. Junta de Andalucia Government, Spain (PAIDI-CTS156) 3. Spanish Ministry of Science and Innovation through the Ramon y Cajal Fellowship (RG)

Datos de investigación del Proyecto PID2021-126283NB-I00 correspondientes a arrendamientos por mayor de rentas regias ordinarias de los años 1480-1494 en toda la Corona de Castilla procedentes del vaciado de información de fuentes del Archivo General de Simancas. Se incluyen datos correspondientes a los siguientes ítems: 1. Año de arrendamiento 2. Precio de arrendamiento 3. Partido fiscal 4. Arrendador/es mayor/es 5. Vecindad de arrendador mayor 6. Oficio/cargo 7. Vínculos familiares 8. Fiador/es 9. Vecindad de fiador/es 10. Cargos/oficios de los fiadores 11. Cantidad fiada 12. Fuente