bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ocio ambiental intergeneracional y envejecimiento activo
Authors: Valdemoros San Emeterio María Ángeles 
Published: December 2021

Las experiencias de ocio ambiental-ecológico compartidas entre abuelos[1] y nietos poseen el potencial de contribuir al bienestar físico, psicológico, emocional y social de los mayores y, por ende, de beneficiar el envejecimiento activo. El objetivo fue examinar, desde la percepción de los abuelos, la contribución de las actividades de ocio ambiental-ecológico compartidas con sus nietos al bienestar físico, emocional y social para el fomento del envejecimiento activo. La muestra estuvo compuesta por 350 abuelos con niños de 6 a 12 años de la zona norte de España. Los resultados evidenciaron que un 78,2% de los abuelos practicaban este tipo de ocio con sus nietos y que las actividades más realizadas fueron los viajes, las excursiones y el cuidado de plantas y/o huerto. Comparando a quienes comparten este tipo de ocio con aquellos que no lo hacen, se descubre que los primeros perciben en mayor grado una mejora de su forma física, más diversión y disfrute, un incremento de su creatividad y de sus destrezas manuales; pero no estiman en mayor medida que esta práctica mejore la relación con sus nietos. Estos hallazgos intensifican la importancia de fomentar este tipo de ocio por viabilizar prácticas seguras en tiempos de pandemia que contribuyen al envejecimiento activo.

[1] A lo largo del documento se intentará utilizar un lenguaje inclusivo, si bien “en aplicación de la Ley 3/2007, de 22 de marzo, para la igualdad efectiva de mujeres y hombres, toda referencia a cargos, personas o colectivos incluida en este documento en masculino, se entenderá que incluye tanto a mujeres como a hombres”.
El aula profesional de emprendimiento de la Universidad Complutense de Madrid: Aprender y emprender
Authors: Fernández-Salinero Miguel Carolina , De la Riva Picatoste Beatriz , Martín-Gutiérrez Ángela 
Published: December 2021

Conseguir el desarrollo y promoción de la educación emprendedora es uno de los objetivos políticos clave de la Unión Europea (UE) y de sus Estados miembros desde los años noventa del siglo pasado. Para dar respuesta a este objetivo surge el proyecto Aulas Profesionales de Emprendimiento (APES) de la Comunidad de Madrid, que inicialmente se establece en Formación Profesional Reglada, pero que poco a poco se está empezando a poner en marcha también en la universidad, constituyéndose como una estrategia para impulsar la competencia emprendedora, imprescindible en el nuevo marco socioeconómico hacia el que se dirige nuestra economía. Concretamente, en la Facultad de Educación-Centro de Formación del Profesorado (UCM) se ha puesto en marcha un APE. Se trata de una actuación de carácter eminentemente práctica, encaminada a potenciar el emprendimiento y el autoempleo entre el estudiantado y concebida como una pre-incubadora que pretende integrarse en el ecosistema emprendedor de la UCM, concretamente, en la red de pre-incubadoras de la universidad. El alumnado se acerca a ella para adquirir las competencias transversales necesarias para la ciudadanía activa, la empleabilidad y el emprendimiento, así como para transformar propuestas creativas en acciones emprendedoras. A partir de ese momento, los y las estudiantes encuentran los recursos necesarios para poder iniciar su andadura por la vía del emprendimiento: un mentor o mentora encargados del asesoramiento, una formación instrumental adecuada y un espacio físico dotado de equipos informáticos (la hiperaula) o un espacio virtual, en nuestro caso dentro de la página web de la Facultad.
Detección de necesidades y competencia emprendedora en tiempos de pandemia: adaptación a la formación en danza online
Authors: Ollora Triana Natalia , De la Torre-Cruz Tamara , Escolar- Llamazares M.ª del Camino , Di Giusto-Valle Cristina , Luis Rico M.ª Isabel , Palmero Cámara M.ª del Carmen , Jiménez Eguizábal Juan Alfredo 
Published: December 2021

Durante el confinamiento mundial provocado por la COVID-19, la práctica de actividades rítmicas y bailadas en tiempo de ocio se ha incrementado, manteniéndose la demanda durante toda la época de pandemia. Concretamente, el confinamiento ha provocado que estas actividades se hayan realizado de forma no presencial y las continuas restricciones han obligado a adaptar la actividad a un formato mixto.
El objetivo de esta investigación es conocer qué aspectos de la competencia emprendedora han implementado estos profesionales para afrontar con éxito este crecimiento en la demanda de actividad. Estos profesionales de la danza han tenido que adaptarse a un nuevo formato de práctica nunca antes planteado y superar la situación de crisis mediante el uso de la competencia emprendedora, innovando y manteniendo la ocupación empresarial. La investigación es cualitativa y la metodología de análisis pretende contribuir al conocimiento a partir de la Teoría Fundamentada construida tras analizar de forma sistemática las entrevistas realizadas a emprendedores de diversas escuelas de danza. Las entrevistas se estructuran en torno a seis bloques temáticos: aspectos socio-demográficos; aspectos empresariales; espíritu empresarial; espíritu emprendedor; competencias personales y atributos y, por último, conocimientos y aspectos vinculados a la actividad como práctica de ocio. Para el análisis se utiliza el software ATLAS TI Cloud. La discusión de resultados permite concluir que los emprendedores han encontrado la motivación en el compromiso social a partir de su sensibilidad personal para enfrentar la realidad con decisión. Han ofrecido un nuevo producto sopesando riesgos e identificando la nueva demanda como una oportunidad. Igualmente, han emprendido proyectos ambiciosos que han dado como resultado una sociedad más equitativa y una nueva adhesión a la práctica de esta actividad.
El potencial emprendedor en un programa de educación emprendedora en la ESO. Un estudio de caso
Authors: Bernal-Guerrero Antonio , Cárdenas Gutiérrez Antonio Ramón , Domínguez-Quintero Ana María , Montoro-Fernández Elisabet 
Published: December 2021

La educación emprendedora se implementa progresivamente en las etapas de educación obligatoria a través de distintos programas y experiencias relacionadas con la configuración de la Competencia en el Sentido de la Iniciativa y el Espíritu Emprendedor. Con la finalidad de transformar las ideas en actos, se intenta formar al alumnado en un conjunto de conocimientos, habilidades y actitudes relacionados con el desempeño empresarial. El potencial emprendedor, comprendido como el conjunto de capacidades y disposiciones para la acción de emprender, será el objeto de estudio. Así pues, esta investigación se centra en conocer qué elementos forman el potencial emprendedor del alumnado en un programa de educación emprendedora en la ESO. El diseño de investigación es mixto, donde la prioridad metodológica corresponderá a la fase cualitativa, que se implementará mediante un estudio de caso centrado en el alumnado participante en el programa de educación emprendedora. La muestra ha sido seleccionada de forma intencional y por conveniencia, según determinados criterios de investigación, tales como, accesibilidad al campo de estudio, disponibilidad de los participantes y presencialidad de los investigadores. Las técnicas de recogida de información son el test ATE-S para seleccionar a los participantes y la entrevista en profundidad. El análisis de los resultados nos indica, por un lado, que el desarrollo del potencial emprendedor se encuentra relacionado con metodologías activas de aprendizaje y, por otro lado, que el potencial emprendedor está configurado por indicadores personales.
EFFECTIVE TEACHING STRATEGIES AND MOTIVATED LEARNERS CREATE AN AUTONOMOUS CLASSROOM
Authors: Chhabra Pooja 
Published: December 2021

This paper addresses the issue of how to enhance motivation in tertiary level EFL learners to lead them towards achieving independence in learning. Based on a case study at the Global College of Engineering and Technology, Muscat, Oman, it critically examines the scope of application of John Keller’s ARCS model that exhibits four steps for enhancing learners’ motivation - Attention, Relevance, Confidence, and Satisfaction. It recounts how these motivational techniques have been used in classrooms and how each of these steps has enhanced the learners’ self-confidence and their interest in learning the language. The paper argues that efficient use of ARCS model can transform extrinsic motivation into intrinsic one. It recommends that educators should adopt the ARCS model to sustain learners’ interests and accomplishments of the set learning objectives. It makes students reach a level where they begin to take charge of their learning, resulting in strong learner-teacher autonomy in language acquisition.
Key Words: Keller's ARCS model, Foundation program students, Index Terms-motivation
Development of a Millet Destoner for Small Scale Farmers
Authors: Saleh Aminu 
Published: December 2021

Post-harvest processes of millet rely on labour-intensive manual operations in Nigeria while its produce is associated with contaminants. A manually-operated destoner was developed to increase grain value for commercial production and reduce drudgery. To construct the destoner sieves, physical properties of one thousand randomly selected grains were determined digital Vernier callipers. Millet grains to be destoned was fed through the upper portion of the destoner being operated through the crank handle while the pure grains were collected at the discharge outlet. Results obtained shows the geometric diameter of the grains increase progressively from 3.51-4.22mm as moisture content increases. A screen aperture of 3.5mm was constructed. Grains’ surface area, volume and sphericity increased from 22.67-34.82mm², 8.19-13.98mm³ and 0.691-0.776g respectively. Mass, true density and terminal velocity of 1000 seed increased from 13.56-43.84g, 1548.91-1689.87kg/m³ and 2.69-4.58m/s respectively. The bulk density of millet also increased as moisture content increases but decreased beyond 12.5% moisture level indicating that millet floats on water and was transpoted with the aid of an auger. About 50kg of millet was poured into the destoner to occupy its ⅓ capacity while the remaining ⅔ was filled with water. Destoner output was at 95% efficiency.Key words: Destoner, Millet, Processing, Properties, Contaminants
Effect of Speed and Boot Opening on Aerodynamics, Fuel Consumption, and CO2 Emission of Minibus
Authors: Oloruntoba Olusola A. , Okediji Adebunmi P. 
Published: December 2021

Overspeeding and overloading contribute to road accidents. In developing countries, overloading is often indicated by open boot due to commercial transporters’ motivation to carry an excess load to boost revenue. Therefore, there is a need to provide measures to control or eliminate the practice of overspeeding and overloading. This study aims to conduct a parametric study to determine the effect of vehicle speed and boot opening on the aerodynamics of airflow around a typical minibus, fuel consumption, and CO2 emission, and recommend optimum boot opening. Computational Fluid Dynamics is employed using the FLUENT™ program. Results show the existence of a wavy pattern for drag coefficient, fuel consumption, and CO2 emission concerning boot opening. Furthermore, two boot opening regions exist: and . The first region exhibits low prediction error (maximum of 7.25%) and better fit of regression model to FLUENT™ data. The first region also has lower susceptibility to exhibit handling instability. Therefore, boot opening around is recommended as the optimum boot opening, to ensure minimum fuel consumption and CO2 emissions, improve handling and safety. The developed regression models could inform regulatory bodies’ formulation and implementation of policies to mitigate road accidents. Keywords—Boot Opening, CO2 emission, Fuel Consumption, Pressure drag, Total Drag, Minibus, Viscous Drag
A Novel Mobile and IOT Enabled Application for Smart Energy Meter
Authors: Ipinnimo Oluwafemi , Yinka-banjo Chika O. 
Published: December 2021

Smart Energy Meters have significantly helped in easy reporting of energy consumption and the measurement of the same, since their introduction. They have replaced mainstream method of the house to house energy consumption data recording, but they are still reading with a lot of data inconsistencies between participating parties (energy suppliers and consumers). The purpose of this research is to develop a mobile web application with Internet of Things (IOT) and short message service (SMS) for consistent, transparent recording, monitoring of energy consumed, amount billed, infrastructure theft and meter control. Arduino, sensors and relay modules are some of the hardware components used with communication application programming interface (API) accessed through the Wi-Fi module. The communication between the hardware and the server is the response based on different commands, which includes turning on and off, setting threshold, requesting consumption and even paid for consumed power. The app will enable the consumer monitor their current energy consumption through the web and android interface and remotely turn the meter on and off. Stored data can be retrieved at any time. Keywords— Arduino, Billing, IOT, Power Consumption, Smart Electricity meter, SMS, Web Application
Performance Evaluation of Pre-processing Techniques on Diabetes Prediction
Authors: Yusuf Aminat B. , Austin Ogar O. , Tadi Shinaigo Y. , Jauro Fatsuma 
Published: December 2021

Medical industry contains a large amount of sensitive data that must be evaluated in order to get insight into records. The nonlinearity, non-normality, correlation structures and complicated diabetic medical records, on the other hand, makes accurate predictions difficult. The Pima Indian Diabetes dataset is one of them, owing to the dataset's imbalance, large number of missing values and difficulty in identifying highly risk factors. Some of these challenges have been solved using computational approaches such as machine learning methods, but they have not performed ideally, with pre-processing techniques being recognized as critical to achieving correct findings. The goal of this work is to apply multiple pre-processing approaches to increase the accuracy of some simple models. These multiple pre-processing techniques are median imputation in which null values are substituted by finding the median of the input variables dependent on whether or not the patient is diabetic and then follow by applying oversampling and under-sampling procedures on both majority and minority votes. These votes are applied in order to address the problem of class imbalance as pointed out from the literature. Finally, the dimension reduction Pearson correlation is used to detect high-risk features since it is effective at quantifying information between attributes and their labels. In this study, these techniques are applied in the same order to Linear Regression, Naive Bayes, Decision Tree, K Nearest Neighbor, Random Forest and Gaussian Boosting classifiers. The utility of the techniques on the mentioned classifiers is validated using performance measures such as Accuracy, Precision and Recall. The Random Forest Classifier is found to be the best-improved model, with 95 percent accuracy, 94.25 percent precision and 95.35 percent recall. Medical practitioners may find the provided strategies beneficial in improving the efficiency of diabetes analysis. Keywords— Classifiers, diabetes, Pima Indian Diabetes dataset, pre-processing techniques
A Multivariate Regression Model for Predicting the 28days Flexural Strength of Lime-Cement Concrete Beam
Authors: Awodiji Chioma T.G. , Sule Samuel 
Published: December 2021

In this study, a multivariate regression model for predicting the 28days flexural strength of lime-cement concrete prototype beam was developed. The response function is a multivariate function of the proportions of the component materials of concrete. A total of twenty mix ratios, consisting of water, Portland cement, hydrated lime, river sand and granite chipping were used in the prediction process. The first ten mix ratios were used for model development while the remaining ten mix ratios were used as check points for model validation. The model developed was tested for adequacy at 95% level of confidence using the t-statistic. Calculated t-value was -1.3342 and this was less than the critical t-value of 2.2622. Thus, the model was found to be adequate. An average percentage difference of 14.303% was observed between the model prediction and the experimental values. A visual basic program using the Visual studio 2015 software was developed based on the regression model. It was invoked to quicken the process of selecting the mix ratios of the component materials corresponding to any desired flexural strength value that falls within the region of experimentation and vice versa Keywords— Concrete , flexural strength, multivariate regression model, response function.
An Improved Hybrid Micro-Grid Load Frequency Control Scheme for an Autonomous System
Authors: Abdulwahab Ibrahim , Faskari Shehu A. , Belgore Talatu A. , Babaita Taiwo A. 
Published: December 2021

This paper presents an improved hybrid micro-grid load frequency control scheme for an autonomous system. The micro-grid system comprises of renewable and non-renewable energy-based Power Generating Units (PGU) which consist of Solar Photovoltaic, WT Generator, Solar Thermal Power Generator, Diesel Engine Generator, Fuel Cell (FC) with Aqua Electrolizer (AE). However, power produce from renewable sources in microgrid are intermittent in supply, hence make it difficult to maintain power balance between generated power and demand. Therefore, Battery energy storage system, ultra-capacitor and flywheel energy storage systems make up the energy storage units. These separate units are selected and combined to form two different scenarios in this study. This approach mitigates frequency fluctuations during disturbances (sudden load changes) by ensuring balance between the generated power and demand. For each scenario, Moth flame optimization algorithm optimized Proportional-Integral controllers were utilized to control the micro-grid (to minimize fluctuations from the output power of the non-dispatchable sources and from sudden load change). The results of the developed scheme were compared with that of Quasi-Oppositional Harmony Search Algorithm for overshoot and settling time of the frequency deviation. From the results obtained, the proposed scheme outperformed that of the quasi-oppositional harmony search algorithm optimized controller by an average percentage improvement of 35.95% and 28.76% in the case of overshoot and settling time when the system step input was suddenly increased. All modelling analysis were carried out in MATLAB R2019b environment. Keywords—Frequency Deviation, Micro-grid, Moth flame optimization algorithm, Quasi-Oppositional Harmony Search Algorithm.
Assessment of Moringa oleifera Seeds as a Natural Coagulant in Treating Low Turbid Water
Authors: Olabanji Taiwo O. , Ojo Ochuko M. , Williams Charles G. , Adewuyi Abiodun S. 
Published: December 2021

This research examined the coagulating potential of Moringa oleifera seeds in treating low turbid water. The active ingredient of the seeds was extracted using Soxhlet Apparatus with hexane as the solvent, after which the coagulant was dosed from 0.03g/L to 0.4g/L and used to treat a water sample with a low Turbidity of 18.4NTU, yielding an optimum value of 4.90NTU, an optimum dose of 0.03g/L and a turbidity reduction of 100% when compared with the World Health Organization (WHO) standard which is 5NTU. The study affirms Moringa oleifera as an effective natural coagulant in low turbid water treatment and it is recommended for household water treatments. Keywords— Hexane, Low turbid water, Moringa oleifera, Natural coagulant, Soxhlet apparatus
Design of Radio Over Plastic Optical Fibre for Broadband Indoor Access Network
Authors: Yau Isiyaku , Sani Suleiman M. , Usman Aliyu D. , Tekanyi Abdoulie M.S. , Yaro Abdulmalik S. , Bello Habeeb 
Published: December 2021

Indoor wireless traffic increases exponentially. Radio over fibre technology has been used to provide broadband services in the access network. Plastic Optical Fibre (POF) has been considered as a promising waveguide to be used as backhaul link for indoor access network. The RoF system uses an improved POF cable as a backhaul. A photonic antenna is developed by integrating a microstrip patch antenna with an opto-electronic converter. A standard inset fed microstrip patch antenna used for the wireless transmission and reception is designed using CST software tool. A RoF communication system based on the developed POF is designed and simulated using Optisystem software tool. The Bit Error Rate (BER) performance of the system in terms of Quality factor is evaluated. A maximum achievable POF cable length of 117 m for an On-Off Keying (OOK) transmission data rate of 1 Gbps with an acceptable Quality factor of 7.0 is obtained. When the developed RoF system was used to transmit 10 Gbps and 50 Gbps data, the achievable cable lengths reduced to 80 m and 63 m, respectively. Keywords— Plastic Optical Fibre, RoF, photonic antenna, and modal dispersion
Addressing Cold Start Problem in Collaborative Filtering using Demographic Data with Entropy-based Methodology
Authors: Odumuyiwa Victor T. , Oloba Olalekan P. 
Published: December 2021

Collaborative filtering based recommender systems (RS) are faced with cold start problem. This problem arises when the RS does not have enough information or opinion about a person or about a product and therefore cannot make recommendation for such person. In this paper, the demographic data of the user such as age, gender, and occupation are utilized as additional sources together with existing users’ rating to tackle the cold start problem by employing the entropy-based methodology to determine the degree of predictability. Experimental results on MovieLens dataset showed that the proposed method gives higher accuracy than other existing demographic based methods. Keywords— Cold Start, Collaborative Filtering, Entropy, Demographic Approach, Recommender Systems
Modelling and Design of State Estimator for a Pick and Place Robotic Arm
Authors: Dandago Khalid K. , Mohammed Ameer , Ubadike Osichinaka C. , Zango Mahmud S. , Hassan Abdulbasit , Muhammad Muhammad I. , Yahaya Jamilu U. 
Published: December 2021

A robust model is essential for the design of system components such as controllers, observers state estimators, and simulators. State estimators are becoming increasingly important in modern systems, especially systems with states that may not be measured with sensors. Therefore, it is imperative to analyze the performance of different modelling and state estimator design techniques. In this research work, a parametric model of a pick and place robotic arm was obtained using system identification technique. Pick and place robotic arms have a lot of industrial applications. The parameters of the obtained model were determined using the general second-order characteristics equation and manual tuning. Furthermore, five state estimators were designed based on the developed model. The accuracy of the model, and the performance of the observers were analyzed. The model was found to provide a good representation of the system. Nonetheless, with very small divergence between the model and the real system. The performance of the observers was found to be dependent on their pole locations; the higher the magnitude of the poles, the higher the state estimators’ gain and the better the estimation provided. It was found out that the state estimators with high gains were more susceptible to measurement noise. Keywords— Modelling, pick and place robots, observers, and state estimators.