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Formación y necesidades formativas en heridas según la Red de Profesorado en Heridas del GNEAUPP
No full textObjective: To determine the content and identify the training needs in wound care among professionals dedicated to teaching about wounds. Methodology: A cross-sectional study was conducted among members registered in the GNEAUPP Wound Care Teaching Network. A specific survey was designed for this study, including 4 main sections: demographic data of participants, teaching activities, content, and training needs related to wound care. The survey was securely distributed online, and data collection occurred between March 15 and April 15, 2023. Results: A total of 134 educators participated, representing 32.2% of the network. The average age of participants was 47.2 years, with 23.4 years of professional experience and 10 years of teaching experience. Most participants had received training through continuing education in hospitals (26.1%, 35 cases), university postgraduate courses (25.4%, 34 cases), and online training courses (47.8%, 64 cases). A total of 113 participants (84.3%) used GNEAUPP documents for teaching. The main challenges perceived were the lack of training for educators and insufficient time allocated for wound care topics in undergraduate, postgraduate, EIR, and continuing education programs. Conclusions: A significant percentage of nurse educators involved in wound care training possess a high level of academic expertise and frequently use materials developed by GNEAUPP. However, the lack of specialized training for educators in wound care and limited time in academic curricula are the most significant obstacles identified by educatorsObjetivo: Determinar los contenidos e identificar las necesidades
formativas en heridas de los profesionales dedicados a la docencia en
heridas. Metodología: Se realizó un estudio transversal a los miembros
inscritos en la Red de Profesorado en Heridas del GNEAUPP. Se
creó un formulario específico para este estudio que incluía 4 grandes
bloques de preguntas: datos demográficos de participantes, docencia,
contenidos y necesidades formativas sobre heridas. Se envió de forma
segura online y el intervalo de recogida de los datos fue del 15 marzo
al 15 abril del año 2023. Resultados: Participaron 134 docentes,
un 32,2% del total de la Red, con una edad media de 47,2 años,
una experiencia profesional de 23,4 años y docente de 10 años. La
formación mayoritaria de los participantes fue recibida mediante
formación continuada en hospital, el 26,1% (35 casos), cursos de
posgrado de universidad, el 25,4% (34), y cursos de formación online,
el 47,8% (64). Para la docencia utilizan los documentos del GNEAUPP
113 personas (84,3%). Los principales obstáculos percibidos fueron la
falta de formación de los docentes y la falta de tiempo en los programas
de estudio del grado, posgrado, enfermero/a interno/a residente y
formación continuada. Conclusiones: Existe un elevado porcentaje
de enfermeros/as docentes que desarrollan formación sobre heridas
con una alta capacitación académica, que hacen un uso elevado de
documentos elaborados por el GNEAUPP. La falta de formación de los
docentes en heridas y la falta de tiempo en los programas de estudio son
los mayores obstáculos percibidos por los docente
Protección de datos y Redes sociales en el ámbito de la investigación: retos legales
No full textPresentación sobre los retos legales relacionados con la protección de datos y redes sociales, en el marco del "XIV Encuentro de la Red de Comités de Ética de Universidades y Organismos Públicos de España" celebrado en la UdG los días 7, 8 y 9 de mayo de 2025Presentació sobre els reptes legals vinculats amb la protecció de dades i xarxes socials, en el marc del "XIV Encuentro de la Red de Comités de Ética de Universidades y Organismos Públicos de España" celebrat a la UdG els dies 7, 8 i 9 de maig de 2025
Detecció de soledat i depressió en l’adult major: abordatge infermer a l’atenció primària. Projecte de recerca
No full textNowadays, both loneliness and depression are two factors that in separate have a big negative and relevant impact on the health of older adults, and are strongly connected to each other. Together, they form a retroalimentation relationship, which ends up causing a progressive deterioration and that way we can alleviate it. From Primary Care, a detection and an early approach can be achieved through specific nursing interventions, with the purpose of improving the health and quality life in the elderly people.
Main objective: To study the effectiveness of nursing interventions to prevent or mitigate loneliness and/or depression nolder adults in Sant Feliu de Guíxols Primary Care Center.
Methodology: Quasi experimental study with a pre-post dessign, which lasts a term in Primary Care Center (CAP) Sant Feliu de Guíxols, located in Baix Empordà (Girona). The study population will be the people with an age equal or superior to 65 years old in this CAP, which are in risk of loneliness and/or depression, with a non-probabilistic and convenience sampling. Sociodemographic variables and related with the loneliness and mental health are going to be studied. Data will be collected using three questionnaires: the first one will be of demographic data ad hoc, another one to evaluate the risk factors of loneliness and lastly, to identify the depression risk factors. Afterwards, two validated scales will be used: the Loneliness Scale UCLA-3, to messure the degree of loneliness and the inventory of Depression of Beck (BI-II), to evaluate depression. In relation to ethical considerations, this project will be presented to Clinical Research Ethics Committe of Institut Universitari d’Investigació en Atenció Primària (IDIAP) Jordi Gol, in order to receive an approval. Then, it will be presented to the managment of the Primary Care Team of Sant Feliu de Guíxols, in order to receive their approval. Participation will be voluntary and anonymous and each participating will have to sign an informed consent. The anonymity and confientiality of their data will be guaranteed. The data will be studied and analyzed through the statistic program Statistical Package for the Social Science, 25.0 version (IBM)31
Digital technology adoption in European manufacturing: pathways to innovation and sustainability through AI and big data
No full textENG- This thesis investigates the adoption of digital technologies, specifically artificial intelligence (AI) and big data, within European manufacturing firms, highlighting the interplay between innovation, technological integration, and sustainability. In an era characterized by rapid technological advancement, firms are compelled to integrate digital solutions to remain competitive while addressing evolving sustainability demands. However, the process is often hindered by multiple factors, making it crucial to understand the complexities that drive or obstruct digital technology adoption
Drawing on empirical data from a large-scale international survey, the study identifies key enablers—such as R&D cooperation, digital infrastructure, and sustainability practices—and barriers, including resource constraints and perceived usefulness, ecosystem and data management that influence digital technology adoption. The research offers a nuanced understanding of these adoption dynamics, emphasizing that technology adoption is not merely a technical endeavour but deeply influenced by organizational capacities, strategic alignment, and environmental challenges.
In addition, the findings suggest that sustainability practices play a pivotal role not only in driving innovation but also in fostering AI and big data integration, creating a reciprocal relationship where digital technologies enhance sustainability performance while sustainability accelerates technological adoption. This dual role of sustainability expands the understanding of its influence on firms’ dynamic capabilities, pushing beyond its traditionally understood impact on environmental goals.
By extending multiple theoretical frameworks and offering practical insights, this research contributes to the growing discourse on digital transformation in manufacturing. It not only emphasizes the necessity of integrating sustainability into digital strategies but also advocates for a forward-thinking, cumulative approach to AI and big data adoption. The findings are particularly relevant for manufacturing firms navigating the challenges of digitalization while striving to meet sustainability objectivesCAT- Aquesta tesi investiga l’adopció de tecnologies digitals, específicament la intel·ligència artificial (IA) i el big data, dins de les empreses manufactureres europees, destacant la interacció entre la innovació, la integració tecnològica i la sostenibilitat. En una era caracteritzada per l’avanç tecnològic ràpid, les empreses es veuen obligades a integrar solucions digitals per mantenir la competitivitat alhora que aborden les demandes creixents de sostenibilitat. No obstant això, el procés sovint es veu dificultat per diversos factors, fet que fa crucial entendre les complexitats que impulsen o obstaculitzen l’adopció de tecnologies digitals.
Basada en dades empíriques d’una enquesta internacional a gran escala, l’estudi identifica factors clau que faciliten l’adopció, com la cooperació en R+D, la infraestructura digital i les pràctiques de sostenibilitat, així com barreres, incloent-hi les limitacions de recursos i la utilitat percebuda, l’ecosistema i la gestió de dades que influeixen en l’adopció de tecnologies digitals. La investigació ofereix una comprensió matisada d’aquestes dinàmiques d’adopció, emfatitzant que l’adopció de tecnologies no és només un esforç tècnic, sinó que està profundament influïda per les capacitats organitzatives, l’alineament estratègic i els reptes ambientals.
A més, les conclusions suggereixen que les pràctiques de sostenibilitat juguen un paper fonamental no només en impulsar la innovació sinó també en fomentar la integració de la IA i el big data, creant una relació recíproca en què les tecnologies digitals milloren el rendiment en sostenibilitat mentre que la sostenibilitat accelera l’adopció tecnològica. Aquest doble paper de la sostenibilitat amplia la comprensió de la seva influència en les capacitats dinàmiques de les empreses, anant més enllà del seu impacte tradicionalment entès en els objectius ambientals.
En ampliar diversos marcs teòrics i oferir perspectives pràctiques, aquesta investigació contribueix al creixent discurs sobre la transformació digital en la manufactura. No només emfatitza la necessitat d’integrar la sostenibilitat en les estratègies digitals, sinó que també defensa un enfocament progressiu i acumulatiu per a l’adopció de la IA i el big data. Les conclusions són particularment rellevants per a les empreses manufactureres que naveguen pels reptes de la digitalització mentre es comprometen a assolir objectius de sostenibilitatPrograma de Doctorat Interuniversitari en Dret, Economia i Empres
Can communities facilitate youth empowerment? A systematic analysis
No full textYouth empowerment (YE) receives preferential attention in socio-educational practice and research due to the need to understand the processes that enable young people to empower themselves. Improving YE requires creating the right conditions and contexts for opportunities while ensuring equality and equity. The context and community in which youth empowerment takes place play a key role. However, academic literature has not systematically analyzed the relationship between YE and community. This article conducts a systematic literature review from 2012-2022 to examine the conceptual and methodological connections between youth empowerment and community. It identifies a diversity of concepts and practices highlighting youth participation and leadership. Six pedagogical principles for facilitating youth empowerment in community contexts are inferred. Empowerment processes between a community and its youth tend to be two-way. Finally, there is a need for further research on youth empowerment processes in community settingsThis work was supported by the Ministerio de Ciencia e Innovación y la Agencia Estatal de Investigación del Gobierno de España under Grant Ref. PID2020-119939RB-I00, AEI/10.13039/501100011033 and PID2023-147368OB-I0 and MICIU/AEI/10.13039/501100011033 and FEDER, U
Writing Anthropology at University
No full textUser guide to written communication in academic disciplines (in this case anthropology) for teachers and studentsAquest projecte ha rebut un ajut Interlingua de la Generalitat de Cataluny
GNNetSlice: A GNN-based performance model to support network slicing in B5G networks
No full textNetwork slicing is gaining traction in Fifth Generation (5G) deployments and Beyond 5G (B5G) designs. In a nutshell, network slicing virtualizes a single physical network into multiple virtual networks or slices, so that each slice provides a desired network performance to the set of traffic flows (source-destination pairs) mapped to it. The network performance, defined by specific Quality of Service (QoS) parameters (latency, jitter and losses), is tailored to different use cases, such as manufacturing, automotive or smart cities. A network controller determines whether a new slice request can be safely granted without degrading the performance of existing slices, and therefore fast and accurate models are needed to efficiently allocate network resources to slices. Although there is a large body of work of network slicing modeling and resource allocation in the Radio Access Network (RAN), there are few works that deal with the implementation and modeling of network slicing in the core and transport network. In this paper, we present GNNetSlice, a model that predicts the performance of a given configuration of network slices and traffic requirements in the core and transport network. The model is built leveraging Graph Neural Networks (GNNs), a kind of Neural Network specifically designed to deal with data structured as graphs. We have chosen a data-driven approach instead of classical modeling techniques, such as Queuing Theory or packet-level simulations due to their balance between prediction speed and accuracy. We detail the structure of GNNetSlice, the dataset used for training, and show how our model can accurately predict the delay, jitter and losses of a wide range of scenarios, achieving a Symmetric Mean Average Percentage Error (SMAPE) of 5.22%, 1.95% and 2.04%, respectivel
Raciocínio indutivo no direito tributário: Inferência e suficiência probatória
No full textThis article aims to analyze inductive reasoning and its application to resolve factual issues in tax matters. To this end, three types of induction are presented (generalization, causal and analogical), as well as their uses (in Tax Law and outside of it) and their strength (including their limitations). The article concludes that the quality of the evidentiary judgment is influenced by two variables. On the one hand, by meeting the criteria regarding the formation and evaluation of evidence that serve as a basis for the sentence, such as the magnitude, variety and representativeness of the evidence. On the other hand, by the standard of proof applicable to the case: the stricter the degree of sufficiency required for certain hypotheses to be considered proven, the stronger must be the degree of inferential securityEste artigo tem o objetivo de analisar o raciocínio indutivo e a sua aplicação para a resolu-ção de questões fáticas em matéria tributária. Para tanto são apresentadas três espécies de indução (generalizadora, causal e analógica), examinados os seus usos (no Direito Tributário e fora dele) e a sua força (inclusive as suas limitações). O artigo conclui que a qualidade do raciocínio probatório é influenciada por duas variáveis. De um lado, pela observância a critérios relativos à formação e avaliação dos elementos probatórios que servem de base à premissa fática da sentença, tais como a grandeza, variedade e representatividade dos elementos de prova. De outro, pelo standard de prova aplicável ao caso: quanto mais rigoroso for o grau de suficiência exigido para que determinada hipótese probatória seja considerada provada, mais forte deve ser o grau de segurança inferencial1
Arxius i fonts primàries. Les Enramades de Sallent
No full textAquest projecte se centra en les Enramades de Sallent, una tradició històrica i culturalment significativa per al poble. L'elecció d'aquest tema permet als alumnes connectar els continguts escolars amb el seu entorn proper, fomentant un aprenentatge vivencial.
Les Enramades, amb orígens a l’Edat Mitjana, han evolucionat al llarg del temps, fet que les converteix en una eina per treballar conceptes històrics com el canvi social i l’ús de fonts històriques. El projecte destaca la importància de la identitat cultural i implica activament els alumnes en la investigació, la creació d'un programa i una exposició sobre la festivitat.
Aquesta iniciativa no només promou el coneixement del patrimoni local, sinó que també reforça el sentiment de pertinença i la cohesió comunitària, tot incentivant el respecte i la valoració de les tradicions.
Impact of Mental Health Literacy on Improving Quality of Life Among Adolescents in Barcelona
No full textBackground/Objectives: We aim to assess the effect of the Espaijove.net mental health literacy program on adolescents' quality of life (QOL). Additionally, we aim to describe their QOL and mental well-being. Methods: A multicenter, randomized, controlled trial was conducted, with pre- and post-intervention assessments and 6- and 12-month follow-ups. A total of 1032 students aged 13-14 from 18 schools in Barcelona participated in one of the three following mental health literacy (MHL) programs or were placed in a control group (CG): (1) a 1 h awareness session (G1h); (2) a 6 h MHL program (G6h); (3) a 7 h MHL program with stigma reduction (G7h). Measures: (1) Mental well-being: Strengths and Difficulties Questionnaire (SDQ); (2) QOL: EuroQol 5D-5L with its two parts: the EuroQol 5D-5L Index (0-1) and EuroQol 5D-5L visual analog scale (EQ-VAS) (0-100). Analyses were conducted on an intention-to-treat basis, using data imputation methods for missing data. Intervention effects were assessed using multilevel models. Results: Baseline EQ-VAS and EQ-5D-5L index scores were 77.84 (CI = 76.77-78.91) and 0.91 (CI = 0.90-0.92), respectively. Boys reported higher QOL and SDQ scores (p < 0.001), whereas participants of foreign nationality showed lower scores in QOL (EQ-VAS; p = 0.039) and mental well-being (p < 0.001). Post-intervention, all groups (intervention and control), except G6h, showed QOL improvements. However, in the 6-month follow-up, the CG outperformed the other groups. At 12 months, G7h achieved the highest EQ-VAS scores compared to the other groups. Conclusions: MHL-based interventions improved short-term QOL but failed to sustain these improvements over time. Groups with lower QOL and SDQ scores included girls and adolescents of foreign nationalit