Repositorio Universidad Europea del Atlántico
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Start Digital –Sustainable –Profitable (Start-DSP): Operationalising the GreenComp, DigiCompand EntreComp Frameworks to accelerate the Impact of HEI Entrepreneurship Education on the Green and Digital Twin Transition, Innovation and Economic Growth
No full textAcross Europe, the potential impact of entrepreneurship education of HEIs in terms of socially and environmentally sustainable economic growth is not sufficiently exploited. Not least due to a lack of financial and human resources, HEIs are not able to adapt their teaching offerings in this regard to the high dynamics and complexity of the topic.
In order to create impact, modern entrepreneurship education must not only teach basic management skills, but should also be able to convey the highly complex trends, for example in relation to disruptive digital technologies (e.g. blockchain or non-fungible tokens), and at the same time teach approaches for environmentally and socially sustainable business.
Studies suggest that goals and pedagogical approaches to teaching entrepreneurship need to be rethought and updated to fully realize the potentials of Entrepreneurship Education at HEIs. They must provide an environment that is in tune with the times and technological developments and that is able to impart management knowledge, transversal skills but also digital, social and ecological aspects.
Entrepreneurship education does not only benefit people who want to pursue a career in science, technology or business. Students today face an uncertain future filled with complicated geopolitical, social, and environmental challenges. In recent years, increasing globalisation and liberalisation but also technological and social transitions have increased the demand for entrepreneurial skills and led to a dramatically changed skill set needed.
As a consortium, the funding of the Start-DSP project will enable us to bundle different areas of excellence into an innovative, modular curriculum and teaching offer and thus enable HEIs across Europe to implement state of the art entrepreneurship education that sustainably increases the impact of HEIs on socially and ecologically sustainable economic growth.
En toda Europa no se aprovecha suficientemente el impacto potencial de la educación empresarial de las IES en términos de crecimiento económico sostenible desde el punto de vista social y medioambiental. Debido sobre todo a la falta de recursos financieros y humanos, las IES no son capaces de adaptar su oferta docente en este sentido a la gran dinámica y complejidad del tema.
Para crear impacto, la educación empresarial moderna no solo debe enseñar habilidades básicas de gestión, sino que también debe ser capaz de transmitir las tendencias altamente complejas, por ejemplo, en relación con las tecnologías digitales disruptivas (por ejemplo, blockchain o tokens no fungibles), y al mismo tiempo enseñar enfoques para negocios sostenibles desde el punto de vista medioambiental y social.
Los estudios sugieren que los objetivos y los enfoques pedagógicos de la enseñanza del espíritu empresarial deben replantearse y actualizarse para aprovechar plenamente el potencial de la educación empresarial en las IES. Deben proporcionar un entorno que esté en sintonía con los tiempos y los avances tecnológicos y que sea capaz de impartir conocimientos de gestión y competencias transversales, pero también aspectos digitales, sociales y ecológicos.
La educación empresarial no sólo beneficia a las personas que desean seguir una carrera en el ámbito de la ciencia, la tecnología o la empresa. Los estudiantes de hoy se enfrentan a un futuro incierto lleno de complicados retos geopolíticos, sociales y medioambientales. En los últimos años, el aumento de la globalización y la liberalización, pero también las transiciones tecnológicas y sociales, han incrementado la demanda de aptitudes empresariales y han provocado un cambio radical en el conjunto de competencias necesarias.
Como consorcio, la financiación del proyecto Start-DSP nos permitirá agrupar diferentes áreas de excelencia en un plan de estudios y una oferta docente innovadores y modulares y, de este modo, permitir a las IES de toda Europa implantar una educación empresarial de vanguardia que aumente de forma sostenible el impacto de las IES en el crecimiento económico sostenible desde el punto de vista social y ecológico
Metodología de transformación digital para incrementar la competitividad de las pymes de logística ligera en el Perú
No full textEl objetivo de la investigación fue diseñar e implementar una metodología basada en la transformación digital de forma ágil y en un corto periodo que permita a las pymes del sector de logística ligera del Perú incrementar su competitividad bajo un enfoque de investigación mixto con un diseño exploratorio secuencial (DEXPLOS), observacional y experimental. La población de estudio estuvo constituida por 750 pymes, la muestra estuvo conformada por 255 empresas y se realizó un muestreo probabilístico estratificado. Los criterios de inclusión fueron contar con estrategias competitivas definidas, un año de operación como mínimo y licencias de funcionamiento y código postal. El instrumento de investigación fue un cuestionario compuesto por 189 preguntas distribuidas en variables, tales como estrategia, rentabilidad, nivel técnico, productividad, calidad y trazabilidad. Se concluye que la implementación de la metodología propuesta permitió la transformación digital de las empresas objeto de estudio en un plazo de cuatro meses, por lo tanto, incrementaron su competitividad
Diseño de un plan de muestreo para el monitoreo de la calidad del agua de la cuenca baja del Río Alambi
No full textEl monitoreo de la calidad del agua es uno de los aspectos más importantes a la hora de intentar mantener la salud de los medios y de las personas que dependen de un determinado recurso hídrico. En este sentido el presente trabajo pretendo dar el paso inicial para el aseguramiento de la calidad del Río Alambi ubicado en la Mancomunidad del Chocó Andino, en la ciudad de Quito – Ecuador. Este paso es el planteamiento de un plan de muestreo que de las pautas para el aseguramiento de muestras representativas que luego de ser analizadas mostrarán las características más relevantes del río en mención. Con este objetivo en mente, se inició con una delimitación de la sección de subcuenca objeto de estudió, para luego realizar un mapeo de actores clave y un levantamiento de información a través de un encuesta y recorridos a lo largo del río. Esto mostró que tanto los habitantes, como la academia y los industriales tienen una influencia en la calidad de agua del río y por ende juegan un papel importante a la hora de ejecutar un plan de muestreo y en las características a tomar en cuenta en el desarrollo de éste. De estos actores se entendieron las relaciones de las personas con el cuerpo de agua, así como las actividades que desencadenan en contaminación del recurso y las consecuencias que ocasionan. Luego, con esta información se escogió el formato en que se escribió el plan de muestreo, y este fue el obtenido de la guía para el efecto descrita por Environmental Protection Agency de Estados Unidos. Con esto se desarrolló el plan de muestreo, se evaluó su alcance en la consecución de los objetivos, así como su influencia en el proyecto marco que es la red de monitoreo de la calidad, para finalmente plantear recomendaciones para su implementación y futuras investigaciones derivadas de él
Perspectives of patients with metastatic breast cancer on physical exercise programs: results from a survey in five European countries
Get PDFBackground
To successfully implement exercise programs for patients with metastatic breast cancer (MBC), services and patient education should consider patients’ knowledge, preferences, values, and goals. Hence, gaining insight into their perspectives on exercise and exercise programming is important.
Method
In this cross-sectional survey, we recruited patients with MBC from the Netherlands, Germany, Poland, Spain, and Sweden. We collected data on patients’ knowledge and skills about exercise and outcome expectations. We identified barriers to and facilitators of participation in exercise programs, and patients’ preferences for program content and modes of exercise delivery.
Results
A total of 420 patients participated in the survey. Respondents were, on average, 56.5 years old (SD 10.8) and 70% had bone metastases. Sixty-eight percent reported sufficient skills to engage in aerobic exercise, but only 35% did so for resistance exercise. Respondents expected exercise to have multiple physical benefits, but a few patients expected exercise to worsen their pain (5%). Not having access to an exercise program for cancer patients (27%), feeling too tired (23%), and/or weak (23%) were the most often reported barriers. Facilitators for exercising regularly were previous positive physical (72%) and emotional (68%) experiences with exercising, and receiving personalized advice from a physiotherapist or sport/fitness instructor (62%). Patients were most interested in walking and preferred exercising at a public gym, although there were differences by country. Fifty-seven percent did not know whether their insurance company reimburses exercise programs and only 9% would be willing to pay more than €50 per month to participate.
Conclusion
A large percentage of patients with MBC lack the skills to engage in regular exercise as recommended by exercise guidelines for people with cancer. Patients may benefit from personalized advice and appropriate training facilities to overcome barriers. When implementing exercise interventions, attention should be given to reimbursement and the relatively low willingness-to-pay
Evaluación de Riesgos Laborales en la Empresa Cementos del Norte S.A. ubicada en Choloma, Cortés, Honduras en el Año 2023
No full textEl trabajo presente se ha realizado con la finalidad de evaluar los riesgos laborales
en la empresa Cementos del Norte S.A ubicada en Choloma, Cortés Honduras, para
la generación de una propuesta de prevención, no obstante, se ha visto que, en este
tipo de compañías, los problemas que se generan por riesgos son frecuentes. Este
estudio fue realizado por medio de una metodología con enfoque de intervención
profesionalizador, de manera que la información que fue recolectada es descriptiva.
Seguidamente, la población tomada en cuenta para este estudio se encontraba
compuesta de 100 operarios de la empresa estudiada. En los resultados se ha
encontrado que la empresa muestra controlar los riesgos que se han presentado,
sin embargo, estos deben ser reforzados mediante el monitoreo y así minimizar el
impacto que generen a futuro. Se ha llegado a la conclusión que el riesgo del ruido
se ha estimado como importante, debido a que el lugar debe ser evaluado y
preparado para el desarrollo de los trabajos correspondientes al área en la que se
localice
Oleuropein Attenuates Oxidative Stress in Human Trophoblast Cells
Get PDFOlive-derived bioactive compound oleuropein was evaluated against damage induced by hydrogen peroxide in human trophoblast cells in vitro, by examining the changes in several markers implicated in oxidative stress interactions in the placenta. Trophoblast HTR-8/SVneo cells were preincubated with OLE at 10 and 100 µM and exposed to H2O2, as a model of oxidative stress. Protein and lipid peroxidation, as well as antioxidant enzymes’ activity, were determined spectrophotometrically, and DNA damage was evaluated by comet assay. iNOS protein expression was assessed by Western blot, while the mRNA expression of pro- and anti-apoptotic genes BAX and BCL2 and transcription factor NFE2L2, as well as cytokines IL-6 and TNF α were determined by qPCR. Oleuropein demonstrated cytoprotective effects against H2O2 in trophoblast cells by significantly improving the antioxidant status and preventing protein and lipid damage, as well as reducing the iNOS levels. OLE reduced the mRNA expression of IL-6 and TNF α, however, it did not influence the expression of NFE2L2 or the BAX/BCL2 ratio after H2O2 exposure. Oleuropein per se did not lead to any adverse effects in HTR-8/SVneo cells under the described conditions, confirming its safety in vitro. In conclusion, it significantly attenuated oxidative damage and restored antioxidant functioning, confirming its protective role in trophoblas
Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI
No full textStress is now a serious disease that exists due to changes in working life and food ecosystems around the world. In general, it is difficult for a person to know if they are under stress. According to previous research, temperature, heart rate variability (HRV), humidity, and blood pressure are used to assess stress levels with the use of instruments. With the development of sensor technology and wireless connectivity, people around the world are adopting and using smart devices. In this study, a bio signal detection device with Internet of Things (IoT) capability with a galvanic skin reaction (GSR) sensor is proposed and built for real-time stress monitoring. The proposed device is based on an Arduino controller and Bluetooth communication. To evaluate the performance of the system, physical stress is created on 10 different participants with three distinct tasks namely reading, visualizing the timer clock, and watching videos. MATLAB analysis is performed for identifying the three different levels of stress and obtaining the threshold values as if the person GSR voltage i.e., relaxed for 1.44 volts. In addition, LabVIEW is used as a data acquisition system, and a Blueterm mobile application is also used to view the sensor reading received from the device through Bluetooth communication
Contextual Urdu Lemmatization Using Recurrent Neural Network Models
Get PDFIn the field of natural language processing, machine translation is a colossally developing research area that helps humans communicate more effectively by bridging the linguistic gap. In machine translation, normalization and morphological analyses are the first and perhaps the most important modules for information retrieval (IR). To build a morphological analyzer, or to complete the normalization process, it is important to extract the correct root out of different words. Stemming and lemmatization are techniques commonly used to find the correct root words in a language. However, a few studies on IR systems for the Urdu language have shown that lemmatization is more effective than stemming due to infixes found in Urdu words. This paper presents a lemmatization algorithm based on recurrent neural network models for the Urdu language. However, lemmatization techniques for resource-scarce languages such as Urdu are not very common. The proposed model is trained and tested on two datasets, namely, the Urdu Monolingual Corpus (UMC) and the Universal Dependencies Corpus of Urdu (UDU). The datasets are lemmatized with the help of recurrent neural network models. The Word2Vec model and edit trees are used to generate semantic and syntactic embedding. Bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), bidirectional gated recurrent neural network (BiGRNN), and attention-free encoder–decoder (AFED) models are trained under defined hyperparameters. Experimental results show that the attention-free encoder-decoder model achieves an accuracy, precision, recall, and F-score of 0.96, 0.95, 0.95, and 0.95, respectively, and outperforms existing model
Impact of Innovation-Oriented Human Resource on Small and Medium Enterprises’ Performance
Get PDFThis research paper aims to examine the impact of innovative HRM practices, including employee participation, performance appraisal, reward and compensation, recruitment and selection, and redeployment–retraining on firm performance. For this purpose, four different models are utilized to examine the impact of innovative HRM department practices on the performance of small and medium enterprises (SMEs) in a country. The dependent variable, firm performance, is proxified by different variables such as labor productivity, product innovation, process innovation, and marketing innovation. For empirical analysis, primary data are collected using a questionnaire. Estimation is conducted using ordinary least squares (OLS) and logit regression techniques. The estimated results indicate that most innovative HRM practices have a statistically significant impact on firm performance in terms of labor productivity, product, process, and marketing innovations. These results imply that SMEs in a country may observe the benefits of devoting greater attention to innovative HRM practices to achieve their future growth potential
A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health
Get PDFArtificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental diseases since the 1950s. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, and machine- and deep-learning models for dental disease diagnoses using X-ray and near-infrared imagery. Despite the notable development of AI in dentistry, certain factors affect the performance of the proposed approaches, including limited data availability, imbalanced classes, and lack of transparency and interpretability. Hence, it is of utmost importance for the research community to formulate suitable approaches, considering the existing challenges and leveraging findings from the existing studies. Based on an extensive literature review, this survey provides a brief overview of X-ray and near-infrared imaging systems. Additionally, a comprehensive insight into challenges faced by researchers in the dental domain has been brought forth in this survey. The article further offers an amalgamative assessment of both performances and methods evaluated on public benchmarks and concludes with ethical considerations and future research avenues