bluuebunny/crossref_metadata_2025 huggingface dataset:
Change Detection Based on Fusion Difference Image and Multi-Scale Morphological Reconstruction for SAR Images
Authors: Xuan Jiayu , Xin Zhihui , Liao Guisheng , Huang Penghui , Wang Zhixu , Sun Yu
Published: July 2022

Synthetic aperture radar (SAR) image-change detection is widely used in various fields, such as environmental monitoring and ecological monitoring. There is too much noise and insufficient information utilization, which make the results of change detection inaccurate. Thus, we propose an SAR image-change-detection method based on multiplicative fusion difference image (DI), saliency detection (SD), multi-scale morphological reconstruction (MSMR), and fuzzy c-means (FCM) clustering. Firstly, a new fusion DI method is proposed by multiplying the ratio (R) method based on the ratio of the image before and after the change and the mean ratio (MR) method based on the ratio of the image neighborhood mean value. The new DI operator ratio–mean ratio (RMR) enlarges the characteristics of unchanged areas and changed areas. Secondly, saliency detection is used in DI, which is conducive to the subsequent sub-area processing. Thirdly, we propose an improved FCM clustering-change-detection method based on MSMR. The proposed method has high computational efficiency, and the neighborhood information obtained by morphological reconstruction is fully used. Six real SAR data sets are used in different experiments to demonstrate the effectiveness of the proposed saliency ratio–mean ratio with multi-scale morphological reconstruction fuzzy c-means (SRMR-MSMRFCM). Finally, four classical noise-sensitive methods are used to detect our DI method and demonstrate the strong denoising and detail-preserving ability.
Integrating Semi-Supervised Learning with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data
Authors: Farsad Layegh Nasir , Darvishzadeh Roshanak , Skidmore Andrew K. , Persello Claudio , Krüger Nina
Published: July 2022

In complex classification tasks, such as the classification of heterogeneous vegetation covers, the high similarity between classes can confuse the classification algorithm when assigning the correct class labels to unlabelled samples. To overcome this problem, this study aimed to develop a classification method by integrating graph-based semi-supervised learning (SSL) and an expert system (ES). The proposed method was applied to vegetation cover classification in a wetland in the Netherlands using Sentinel-2 and RapidEye imagery. Our method consisted of three main steps: object-based image analysis (OBIA), integration of SSL and an ES (SSLES), and finally, random forest classification. The generated image objects and the related features were used to construct the graph in SSL. Then, an independently developed and trained ES was used in the labelling stage of SSL to reduce the uncertainty of the process, before the final classification. Different spectral band combinations of Sentinel-2 were then considered to improve the vegetation classification. Our results show that integrating SSL and an ES can result in significantly higher classification accuracy (83.6%) compared to a supervised classifier (64.9%), SSL alone (71.8%), and ES alone (69.5%). Moreover, utilisation of all Sentinel-2 red-edge spectral band combinations yielded the highest classification accuracy (overall accuracy of 83.6% with SSLES) compared to the inclusion of other band combinations. The results of this study indicate that the utilisation of an ES in the labelling process of SSL improves the reliability of the process and provides robust performance for the classification of vegetation cover.
A Novel Wireless Low-Cost Inclinometer Made from Combining the Measurements of Multiple MEMS Gyroscopes and Accelerometers
Authors: Komarizadehasl Seyedmilad , Komary Mahyad , Alahmad Ahmad , Lozano-Galant José Antonio , Ramos Gonzalo , Turmo Jose
Published: July 2022

Structural damage detection using inclinometers is getting wide attention from researchers. However, the high price of inclinometers limits this system to unique structures with a relatively high structural health monitoring (SHM) budget. This paper presents a novel low-cost inclinometer, the low-cost adaptable reliable angle-meter (LARA), which combines five gyroscopes and five accelerometers to measure inclination. LARA incorporates Internet of Things (IoT)-based microcontroller technology enabling wireless data streaming and free commercial software for data acquisition. This paper investigates the accuracy, resolution, Allan variance and standard deviation of LARA produced with a different number of combined circuits, including an accelerometer and a gyroscope. To validate the accuracy and resolution of the developed device, its results are compared with those obtained by numerical slope calculations and a commercial inclinometer (HI-INC) in laboratory conditions. The results of a load test experiment on a simple beam model show the high accuracy of LARA (0.003 degrees). The affordability and high accuracy of LARA make it applicable for structural damage detection on bridges using inclinometers.
Review of Neural Network Modeling of Shape Memory Alloys
Authors: Hmede Rodayna , Chapelle Frédéric , Lapusta Yuri
Published: July 2022

Shape memory materials are smart materials that stand out because of several remarkable properties, including their shape memory effect. Shape memory alloys (SMAs) are largely used members of this family and have been innovatively employed in various fields, such as sensors, actuators, robotics, aerospace, civil engineering, and medicine. Many conventional, unconventional, experimental, and numerical methods have been used to study the properties of SMAs, their models, and their different applications. These materials exhibit nonlinear behavior. This fact complicates the use of traditional methods, such as the finite element method, and increases the computing time necessary to adequately model their different possible shapes and usages. Therefore, a promising solution is to develop new methodological approaches based on artificial intelligence (AI) that aims at efficient computation time and accurate results. AI has recently demonstrated some success in efficiently modeling SMA features with machine- and deep-learning methods. Notably, artificial neural networks (ANNs), a subsection of deep learning, have been applied to characterize SMAs. The present review highlights the importance of AI in SMA modeling and introduces the deep connection between ANNs and SMAs in the medical, robotic, engineering, and automation fields. After summarizing the general characteristics of ANNs and SMAs, we analyze various ANN types used for modeling the properties of SMAs according to their shapes, e.g., a wire as an actuator, a wire with a spring bias, wire systems, magnetic and porous materials, bars and rings, and reinforced concrete beams. The description focuses on the techniques used for NN architectures and learning.
Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion
Authors: Younis Eman M. G. , Zaki Someya Mohsen , Kanjo Eiman , Houssein Essam H.
Published: July 2022

Automatic recognition of human emotions is not a trivial process. There are many factors affecting emotions internally and externally. Expressing emotions could also be performed in many ways such as text, speech, body gestures or even physiologically by physiological body responses. Emotion detection enables many applications such as adaptive user interfaces, interactive games, and human robot interaction and many more. The availability of advanced technologies such as mobiles, sensors, and data analytics tools led to the ability to collect data from various sources, which enabled researchers to predict human emotions accurately. Most current research uses them in the lab experiments for data collection. In this work, we use direct and real time sensor data to construct a subject-independent (generic) multi-modal emotion prediction model. This research integrates both on-body physiological markers, surrounding sensory data, and emotion measurements to achieve the following goals: (1) Collecting a multi-modal data set including environmental, body responses, and emotions. (2) Creating subject-independent Predictive models of emotional states based on fusing environmental and physiological variables. (3) Assessing ensemble learning methods and comparing their performance for creating a generic subject-independent model for emotion recognition with high accuracy and comparing the results with previous similar research. To achieve that, we conducted a real-world study “in the wild” with physiological and mobile sensors. Collecting the data-set is coming from participants walking around Minia university campus to create accurate predictive models. Various ensemble learning models (Bagging, Boosting, and Stacking) have been used, combining the following base algorithms (K Nearest Neighbor KNN, Decision Tree DT, Random Forest RF, and Support Vector Machine SVM) as base learners and DT as a meta-classifier. The results showed that, the ensemble stacking learner technique gave the best accuracy of 98.2% compared with other variants of ensemble learning methods. On the contrary, bagging and boosting methods gave (96.4%) and (96.6%) accuracy levels respectively.
Robust Zero-Watermarking of Color Medical Images Using Multi-Channel Gaussian-Hermite Moments and 1D Chebyshev Chaotic Map
Authors: Khafaga Doaa Sami , Karim Faten Khalid , Darwish Mohamed M. , Hosny Khalid M.
Published: July 2022

Copyright protection of medical images is a vital goal in the era of smart healthcare systems. In recent telemedicine applications, medical images are sensed using medical imaging devices and transmitted to remote places for screening by physicians and specialists. During their transmission, the medical images could be tampered with by intruders. Traditional watermarking methods embed the information in the host images to protect the copyright of medical images. The embedding destroys the original image and cannot be applied efficiently to images used in medicine that require high integrity. Robust zero-watermarking methods are preferable over other watermarking algorithms in medical image security due to their outstanding performance. Most existing methods are presented based on moments and moment invariants, which have become a prominent method for zero-watermarking due to their favorable image description capabilities and geometric invariance. Although moment-based zero-watermarking can be an effective approach to image copyright protection, several present approaches cannot effectively resist geometric attacks, and others have a low resistance to large-scale attacks. Besides these issues, most of these algorithms rely on traditional moment computation, which suffers from numerical error accumulation, leading to numerical instabilities, and time consumption and affecting the performance of these moment-based zero-watermarking techniques. In this paper, we derived multi-channel Gaussian–Hermite moments of fractional-order (MFrGHMs) to solve the problems. Then we used a kernel-based method for the highly accurate computation of MFrGHMs to solve the computation issue. Then, we constructed image features that are accurate and robust. Finally, we presented a new zero-watermarking scheme for color medical images using accurate MFrGHMs and 1D Chebyshev chaotic features to achieve lossless copyright protection of the color medical images. We performed experiments where their outcomes ensure the robustness of the proposed zero-watermarking algorithms against various attacks. The proposed zero-watermarking algorithm achieves a good balance between robustness and imperceptibility. Compared with similar existing algorithms, the proposed algorithm has superior robustness, security, and time computation.
Analysis and Design of Single-Ended Resonant Converter for Wireless Power Transfer Systems
Authors: Li Qiqi , Duan Shanxu , Fu Han
Published: July 2022

Single-ended resonant converters such as Class-E inverters have been widely considered as a potential topology for small- and medium-power wireless power transfer (WPT) applications, which feature compact circuits, low switching losses, and cost benefits, as they only use a low-side switch with a simple gate driver. However, there remains a practical challenge in the design of voltage stress, efficiency, and power density. In this paper, a single-ended resonant converter with a primary parallel resonant-matching network is investigated to absorb the bulky input-choke inductors of the Class-E inverters into the coil inductance. The analytical expressions for all the converter parameters are derived based on time-domain resonant waveforms, including: (1) analysis of critical zero-voltage switching (ZVS) conditions and (2) power transfer capabilities under the given maximum switch voltage stress. Furthermore, this paper elaborates on the design methodology of the proposed single-ended resonant converters, and an optimal operating point is chosen to ensure soft-switching operation and rated power. Finally, the accuracy of the proposed model is verified by simulation and experimental results.
Smartphone-Based and Data-Driven Superstructure State Prediction Method for Highway Bridges in Service
Authors: Duan Jixin , He Weili , Xu Shizhan , Zhong Zhaoyuan , Huang Liang
Published: July 2022

Survival analysis is a data-driven approach that is widely used in various fields of biomedical prognostic research, and it is highly reliable in the processing of time-event data. This study developed a method for evaluating the service performance of bridge superstructures using the built-in acceleration sensor of smartphones and the prediction of survival analysis theory. It will be used to assist in the daily maintenance and repair of small and medium bridges. The effects of the upper load-bearing structure, upper general structure, bearings, deck paving, expansion joints, and frequency ratio on the deterioration of the bridge superstructure were investigated. The results show that the first-order vibration frequency of the bridge can be effectively detected by the built-in acceleration sensor of the mobile phone, but its low sensitivity and high output noise make it impossible to accurately detect the higher-order frequencies of the bridge. The upper load-bearing members, the upper general structure, the bearing, the deck pavement, and the frequency ratio are all related to the changing trend of the technical condition level of the bridge superstructure.
Transfer-Learning-Based Intrusion Detection Framework in IoT Networks
Authors: Rodríguez Eva , Valls Pol , Otero Beatriz , Costa Juan José , Verdú Javier , Pajuelo Manuel Alejandro , Canal Ramon
Published: July 2022

Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion detection systems (IDSs) adopted machine learning (ML), especially deep Learning (DL), to improve the detection of cyberattacks. DL-based IDSs require balanced datasets with large amounts of labeled data; however, there is a lack of such large collections in IoT networks. This paper proposes an efficient intrusion detection framework based on transfer learning (TL), knowledge transfer, and model refinement, for the effective detection of zero-day attacks. The framework is tailored to 5G IoT scenarios with unbalanced and scarce labeled datasets. The TL model is based on convolutional neural networks (CNNs). The framework was evaluated to detect a wide range of zero-day attacks. To this end, three specialized datasets were created. Experimental results show that the proposed TL-based framework achieves high accuracy and low false prediction rate (FPR). The proposed solution has better detection rates for the different families of known and zero-day attacks than any previous DL-based IDS. These results demonstrate that TL is effective in the detection of cyberattacks in IoT environments.
A Novel Deep-Learning Model Compression Based on Filter-Stripe Group Pruning and Its IoT Application
Authors: Zhao Ming , Tong Xindi , Wu Weixian , Wang Zhen , Zhou Bingxue , Huang Xiaodan
Published: July 2022

Nowadays, there is a tradeoff between the deep-learning module-compression ratio and the module accuracy. In this paper, a strategy for refining the pruning quantification and weights based on neural network filters is proposed. Firstly, filters in the neural network were refined into strip-like filter strips. Then, the evaluation of the filter strips was used to refine the partial importance of the filter, cut off the unimportant filter strips and reorganize the remaining filter strips. Finally, the training of the neural network after recombination was quantified to further compress the computational amount of the neural network. The results show that the method can significantly reduce the computational effort of the neural network and compress the number of parameters in the model. Based on experimental results on ResNet56, this method can reduce the number of parameters to 1/4 and the amount of calculation to 1/5, and the loss of model accuracy is only 0.01. On VGG16, the number of parameters is reduced to 1/14, the amount of calculation is reduced to 1/3, and the accuracy loss is 0.5%.
Usability Evaluation of the SmartWheeler through Qualitative and Quantitative Studies
Authors: Panchea Adina M. , Todam Nguepnang Nathalie , Kairy Dahlia , Ferland François
Published: July 2022

Background: Intelligent powered wheelchairs remain a popular research topic that can improve users’ quality of life. Although our multidisciplinary research team has put a lot of effort into adding features based on end-users needs and impairments since 2006, there are still open issues regarding the usability and functionalities of an intelligent powered wheelchair (IPW). Methods: For this reason, this research presents an experience with our IPW followed by a study in two parts: a quantitative one based on the System Usability Scale (SUS) questionnaire and a qualitative one through open questions regarding IPW functionalities with novice users, e.g., IPW non-users. These users never used an IPW before, but are users and aware of the impacts of the technology used in our IPW, being undergraduate to postdoctoral students and staff (faculty, lecturers, research engineers) at the Faculty of Engineering of Université de Sherbrooke. Results: The qualitative analyses identified different behaviours among the novice users. The quantitative analysis via SUS questionnaire done with novice users reports an “okay” rating (equivalent with a C grade or 68 SUS Score) for our IPW’s usability. Moreover, advantages and disadvantages opinions were gathered on the IPW as well as comments which can be used to improve the system. Conclusions: The results reported in these studies show that the system, e.g., IPW, was judged to be sufficiently usable and robust by novice users, with and without experience with the software used in developing the IPW.
Vaccination – an administrative social obligation
Authors: Ilieva Reneta
Published: July 2022

The article examines the emergence of compulsory vaccination from a historical perspective. It distinguishes between recommended and compulsory vaccination. It discusses in detail the administrative legislation that provides for compulsory vaccination.
Wearing protective equipment (masks) during a pandemic – an administrative obligation to protect public health
Authors: Kirilova Simonna
Published: July 2022

The COVID-19 pandemic has changed the world dramatically. We will probably never see it again as it was before the appearance of the virus. We have all witnessed things that were very far away from us and have now become part of our daily lives. The virus has settled among us, and fear has settled in our hearts. We got used to hide in our homes or behind our masks, to avoid contacts, hugs. All happening around the virus started to excite me a lot from the first months of its appearance in Bulgaria together with the introduction of the state of emergency. I started asking myself different questions and looking for their answers. All topics around the coronavirus continue to be discussed until today – vaccines, restriction of fundamental rights, wearing personal protective equipment. With the research I did, I tried to answer some basic questions, referring to different regulations, as well as to give different points of view to practicing lawyers, opinions of the World Health Organization, as well as my own view.
Legal aspects of artificial intelligence and its application in the work of Police authorities
Authors: Delchev Daniel
Published: July 2022

The application of artificial intelligence in the work of police structures is a relatively new aspect that is just entering the work of the police authorities worldwide. The Police cannot stay away from the deepening trends of digitalization and digital conversion in every detail of public life and related to it activities, including – reflecting on the way the authorities operate, on the procedures and on the organization of work of public authorities, along with the work of the police. This publication aims to analyze the main characteristics of artificial intelligence as a concept in its legal context, while at the same time presenting the trends in its implementation and giving examples of some good practices that could be applied by the Ministry of Interior in the Republic of Bulgaria.
Public lecture by judge Zornitsa Doichinova – deputy chairman of the Administrative Court Sofia-City before law students
Authors: Nikolova Raina
Published: July 2022

The public lecture is dedicated to the role of the Administrative Court in the system of administrative justice and in particular - to the structure, functions and powers of the Administrative Court – Sofia City. It gives a real insight look into the importance of the Administrative Court – Sofia City in the protection of the rights, freedoms and legitimate interests of citizens.
prácticas de enseñanza de los docentes de Ciencias Naturales en la educación secundaria
Authors: Ferreyra Horacio A. , Rúa Ana M.
Published: July 2022

El artículo presenta los resultados de la investigación llevada a cabo desde la Universidad Católica de Córdoba entre 2016 y 2018 con el propósito de caracterizar cómo son las prácticas de enseñanza de los docentes de Ciencias Naturales en la educación secundaria, a partir de la observación de sus clases; estos resultados están organizados en diez aspectos seleccionados como descriptores privilegiados, cada uno de los cuales está representado por porcentajes de preeminencia y por testimonios que operan como estampas.

PALABRAS CLAVE: Prácticas de enseñanza; Didáctica de las Ciencias Naturales; Enseñanza de las Ciencias Naturales; Enseñanza en la escuela secundaria; Didáctica específica de las Ciencias Naturales; Didáctica Específica de la Educación Secundaria.

The teaching practices of Natural Sciences teachers in secondary education

ABSTRACT

The article presents the results of the research carried out from the Catholic University of Córdoba between 2016 and 2018 with the purpose of characterizing the teaching practices of Natural Sciences teachers in Middle and High School, based on observation of their classes; these results are organized into ten selected aspects as privileged descriptors, each of which is represented by percentages of preeminence and by testimonies that operate as stamps.

KEYWORDS: Teaching practices; Teaching of Natural Sciences; Teaching in Middle and High School; Specific Didactics of the Natural Sciences; Specific Didactics of Middle and High School.
plataforma MOODLE: caracterización, aplicaciones y beneficios para las competencias docentes
Authors: Delgado Bailón Jéssica Esther , Vélez Loor Jéssica Monserrate
Published: July 2022

En la actualidad el uso de plataformas comerciales y de uso libre en la educación traen consigo un medio ambiente virtual en el cual tantos los estudiantes como los docentes pueden interactuar  de forma mutua para desarrollar los procesos de enseñanza aprendizaje, en la preente investigación se mencionan las características principales que pueden utilizar los administradores, docentes y estudiantes de la herramienta digital Moodle, así como los criterios de autores que la han aplicado en sus labores profesionales y han tenido beneficios para las competencias docentes. La metodología que se utilizó fua bibliográfica, la recogida de información se la realizó desde fuentes de datos como Dialnet, Redalyc, Scielo, Google Académico y repositorios de investigaciones de universidades, tomando como restricción establecida que estas investigaciones que no excedieron un máximo de diez años de publicación, elaboradas en el idioma español y del ámbito geográfico latinoamericano, con lo cual se concluyó que Enseñar, aprender y administrar el entorno virtual de Moodle, supone flexibilidad en espacio y tiempo e interacción entre los participantes para producir el aprendizaje en línea.

PALABRAS CLAVE: Competencia del docente; Aprendizaje en línea; Modelo educacional.

MOODLE platform: characterization, applications, and benefits for teaching competences

ABSTRACT

Currently, the use of commercial and free-use platforms in education brings with them a virtual environment in which students and teachers can interact mutually to develop the teaching-learning processes, in the present investigation the characteristics are mentioned principles that administrators, teachers and students of the Moodle digital tool can use, as well as the criteria of authors who have applied it in their professional work and have had benefits for teaching skills. The methodology used was bibliographic, the collection of information was carried out from data sources such as Dialnet, Redalyc, Scielo, Google Academic and university research repositories, taking as an established restriction that these investigations have up to a maximum of ten years of publication, prepared in the Spanish language and the Latin American geographic area, with which it was concluded that Teaching, learning and managing the virtual environment of Moodle, implies flexibility in space and time and interaction between participants to produce meaningful learning.

KEYWORDS: Teacher competence; Online learning; Educational model.
Evaluación proteica de la harina de amaranto (amaranthus dubius) en el crecimiento del camarón litopenaeus vannamei en etapa de postlarva
Authors: Zambrano Mendoza Luisa Ana , Arteaga Chávez Fátima Graciela , Demera Lucas Francisco Manuel , Párraga Vergara Adriana Lilibeth , Parrales Mendoza Vicky Yuliana , Tubay Bermudez Carlos Julio
Published: July 2022

Se evaluó la calidad nutricional de la harina de amaranto (Amaranthus dubius) (HA) como fuente alternativa de proteína de la harina de pescado (HP) en dietas para el camarón Penaeus vannamei baja salinidad, para lo cual se realizó una prueba de alimentación durante 28 días para examinar los efectos de la sustitución parcial de 15%, 20%, 25% y 30% de HP por HA. Se aplicó un Diseño Completamente al Azar (DCA) con cuatro dietas y cuatro réplicas de cada una. Se realizó la caracterización fisicoquímica (proteína, cenizas, acidez, fibra y humedad) y microbiológica (Salmonella spp.), de acuerdo con la Norma INEN 1767. La unidad experimental estuvo compuesta por 320 camarones (0,03g en peso c/u) en etapa de postlarva (PL22) distribuidos en 16 peceras, adecuadas por un sistema de aireación (oxígeno disuelto 7,0±0,01 mg.L-1) y temperatura constante (25±0,00°C), controlando la salinidad (4,09 ±0,01 UPS) y pH (8,05±0,06). Para el desarrollo larvario se determinaron los parámetros de desempeño de crecimiento: S (Supervivencia), TCE (Tasa de Crecimiento Específico), FCA (Factor de Conversión Alimenticia), EA (Eficiencia alimenticia) y TEP (Tasa de Eficiencia Proteica). Para la caracterización fisicoquímica del alimento se determinó la diferencia estadística significativa (p <0,05) entre las dietas, siendo el HA15 la más idónea. En la evaluación del desempeño de crecimiento no existió diferencia estadística (p >0,05) entre las dietas, por lo tanto, la incorporación de HA en las formulaciones alimenticias con HP no influye en los factores de crecimiento de los camarones en la etapa de postlarva, siendo recomendable sustituir hasta el 30% de proteína animal por proteína vegetal.
 
Palabras clave: Amaranto; camarón; crecimiento; proteína vegetal.
Enseñar y aprender ciencias en la universidad: necesidad de un rediseño didáctico de las disciplinas
Authors: Alberteris Galbán Orlando , Cañizares Hinojosa Viviana , Díaz Torres Camilo Hugo
Published: July 2022

Las dificultades que se evidencian en la universidad en el campo del género disciplinar dan cuenta de la necesidad de organizar la enseñanza de las disciplinas de manera que se logre una inserción progresiva de los estudiantes a esta nueva y compleja cultura. El objetivo de este trabajo es reflexionar en torno a la necesidad de un rediseño didáctico de las disciplinas universitarias desde una perspectiva de géneros disciplinares. Los elementos que se instalan en la propuesta del trabajo didáctico son el producto de la sistematización teórica de estudios concernientes al tema en cuestión. Se ofrece como resultado una propuesta de acciones para el trabajo didáctico con los géneros disciplinares. Los elementos esgrimidos han contribuido a situar la planificación, organización y evaluación de contenidos disciplinares y elementos lingüístico-comunicativos en consonancia con los elementos socioculturales en una sola unidad de diseño de la enseñanza y el aprendizaje disciplinar en el contexto universitario.
Monitoreo de los sitios de visita de la Reserva de Producción de Fauna Chimborazo - Ecuador y su contribución al cumplimiento de los objetivos de conservación
Authors: Vaca-Cárdenas Pedro Vicente , Vaca-Cárdenas Mónica Elva , Vaca-Cárdenas Maritza Lucía , Cushquicullma Colcha Diego Francisco
Published: July 2022

Los ingresos del turismo en el Ecuador contribuyen con el 10% del presupuesto nacional, y es el sustento económico de 1.5 millones de personas. Específicamente, la Reserva de Producción de Fauna Chimborazo (RPFCH) desde el 2010 hasta el 2017 presentó un 47% de crecimiento turístico anual. Desde este escenario de crecimiento, la actividad turística tomó un rol estratégico de regulación, siendo necesario aplicar herramientas de planificación y gobernanza que contribuyan a la gestión del destino, a un manejo adecuado de los visitantes en función de sus expectativas, y a la mitigación de sus potenciales impactos negativos; teniendo como eje la conservación de la biodiversidad. Por lo tanto, los principales objetivos de esta investigación fueron monitorear los sitios de visita de la RPFCH para determinar en qué proporción, su actividad turística contribuye al cumplimiento de los objetivos de conservación del área protegida y establecer acciones de mejora. Para esto, se monitoreo el desenvolvimiento de la actividad turística por medio de escenarios de manejo de visitantes. El monitoreo se desarrolló en tres fases: 1. Determinación de indicadores de Límites de Cambio Aceptable (LCA) aplicando la metodología de Rango de Oportunidad para Visitantes en Áreas Protegidas (ROVAP), 2. Monitoreo de escenarios de manejo de visitantes, y 3. Establecimiento de acciones de mejoramiento. Se monitorearon 10 sitios de visita: 1 prístino, 6 primitivos, y 3 rústicos naturales. Los resultados mostraron que la actividad turística en los sitios de visita de la (RPFCH) contribuyen en un 80.8% al cumplimiento de los objetivos de conservación del área protegida; para lo cual se establecieron acciones de mejora.
Plan de marketing: Un análisis exploratorio y documental sobre su aplicación en pequeñas empresas de Cuba. Caso GRAFICENTER
Authors: Ramírez Cáceres Maikel Emilio , González Velázquez Mirna Lázara , Matos Aguilera Nataly
Published: July 2022

Esta investigación se desarrolló en la organización GRAFICENTER, pequeña empresa perteneciente al sector no estatal dedicada a la comercialización de productos y servicios relacionados con las artes gráficas en el municipio de Holguín. En el diagnóstico realizado, se encontró que existen dificultades que amenazan el adecuado desarrollo del negocio en cuanto a la gestión de comercialización, por lo que se determinó como objetivo desarrollar un plan de marketing que contribuya a mejorar su gestión. Como principales resultados de este trabajo, se elaboró un plan de marketing para dotar a la instalación de una importante herramienta para regir sus acciones comerciales y ayudar a eliminar el empirismo en su gestión de mercadotecnia, así como el análisis de varios procedimientos relacionados con los planes de marketing. Estos resultados se alcanzan con el uso de métodos de investigación teóricos y empíricos entre ellos; histórico–lógico, análisis y síntesis, entrevistas no estructuradas, revisión de documentos, observación directa y otros.
Factores psico-socio-afectivos que limitan el desempeño de personas con discapacidad atendidas por la fundación Rostro de Jesús, 2018-2019
Authors: Mendoza Salazar Marisol Jacqueline , Esquivel García Renier
Published: July 2022

La inserción laboral de personas con discapacidad es un reto para sus vida, sus familia y las organizaciones, debido a la incidencia de factores psicosociales y afectivos en su desempeño laboral. A partir de esta concepción, se desarrolló una investigación que tuvo como objetivo evaluar los factores psicosociales y afectivos que impiden el desenvolvimiento laboral de las personas con discapacidad física atendidas por la Fundación Rostro de Jesús 2018-2019, en Manabí, Ecuador, para mejorar su calidad de vida, en el ámbito económico y social. Se utilizó una metodología con enfoque mixto cualitativo-cuantitativo, descriptivo, prospectivo y transversal. Fue posible describir el estado afectivo y las condiciones psicosociales que afectan el desenvolvimiento laboral, utilizando la entrevista y el análisis sistemático de historias clínicas y revisiones bibliográficas. Como resultado del análisis psicosocial y afectivo, se identifica que el 41, 19 % de las personas presentaron depresión moderada; 47, 05 % problemas de adaptación y 11, 76 % manifestaron actitudes psicosomáticas de ansiedad. Se concluye que los factores psicosociales y afectivos son procesos determinantes en la adaptación e inclusión laboral y económica de las personas con discapacidad, y que el apoyo familiar ayuda al fortalecimiento de la resiliencia de estas personas.

 
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La jerarquización del potencial turístico de la provincia de Huambo, República de Angola
Authors: Chilembo Elias , Carrazana Amador Tania Caridad
Published: July 2022

En este mundo fuertemente marcado por la creciente valorización de las especialidades locales y regionales, las comunidades deben asumir el potencial turístico que representa el patrimonio natural, cultural y ambiental, transformándolo en un producto turístico diferenciado y rentable. Huambo es una provincia de muchos encantos en el ámbito natural y cultural, por lo que el turismo puede ser un incentivo para el desarrollo de muchas de sus zonas rurales. Este trabajo de investigación analiza la valorización del potencial turístico de la provincia de Huambo y el uso eficaz y eficiente de los recursos turísticos para su desarrollo ambiental, social y económico, tomando en cuenta los niveles jerárquicos propuestos por Tabares en su metodología. El objetivo de este trabajo fue aplicar esta herramienta para analizar los atractivos turísticos naturales y culturales de la provincia de Huambo. Para ello, los procedimientos metodológicos se basaron en investigaciones bibliográficas y de campo con observación sistemática in situ y sin participación. Los datos recopilados se tabularon y analizaron de acuerdo con la metodología adaptada de la Organización Mundial del Turismo. Se han adoptado procedimientos de investigación aplicados, con el objetivo de un enfoque descriptivo, cualitativo y bibliográfico e investigación de campo, buscando recolectar información y analizar escenarios para describirlos e interpretarlos de acuerdo con las realidades de la provincia. En conclusión, es necesario tomar medidas para mejorar la infraestructura básica y turística de esta provincia para atraer flujos turísticos.
Sistema de Gestión de la Calidad en un departamento de Ciencia e Innovación de una universidad médica cubana
Authors: Ramos Castro Guillermo , Hernández Nariño Arialys
Published: July 2022

La calidad en la educación superior es un aspecto importante que recibe cada vez más atención debido a las crecientes demandas derivadas de un contexto social en constante transformación. La gestión de la calidad de las organizaciones educativas es la vía para mejorar el desempeño y cumplir con los requisitos establecidos externamente por los procesos de evaluación y acreditación universitaria. El objetivo de este trabajo fue ilustrar un procedimiento para el desarrollo de un Sistema de Gestión de la Calidad en un departamento de Ciencia e Innovación Tecnológica de una universidad médica cubana. Se desarrolló un estudio no experimental; para ello se tomaron como referencia los lineamientos de calidad establecidos por la norma de calidad NC ISO 9001:2015; se propuso un procedimiento de cuatro etapas para desarrollar el Sistema de Gestión de la Calidad. El procedimiento presentado además de alinearse con la NC ISO 9001:2015, tiene puntos en común con propuestas de implementación de Sistemas de Gestión de la Calidad en diferentes entornos; pero se contextualiza al departamento estudiado a través de los documentos, prácticas, métodos y procedimientos de trabajo generados en la gestión de los procesos de investigación e innovación de la universidad.
Association between hip pain and radiographic hip osteoarthritis in primary care: the CHECK cohort
Authors: Rondas Guido AM , Macri Erin M , Oei Edwin HG , Bierma-Zeinstra Sita MA , Rijkels-Otters Hanneke BM , Runhaar Jos
Published: July 2022

Background

The diagnosis of hip osteoarthritis (OA) is often based on clinical symptoms, such as pain and stiffness, and radiographic features. However, the association between hip pain and hip radiographic OA (ROA) remains uncertain.

Aim

To examine the association between hip pain and hip ROA.

Design and setting

Cross-sectional analysis of a Dutch cohort, the Cohort Hip and Cohort Knee (CHECK) study.

Method

The participants (aged 45–65 years) had all experienced hip and/or knee pain for which they had not had a prior consultation or were within 6 months of their first consultation with a GP. Using weight-bearing anteroposterior pelvis radiographs, definite and early-stage hip ROA were defined as Kellgren and Lawrence grade ≥2 and ≥1, respectively. Presence of ROA and pain was assessed in the hips of all participants. The association between hip pain and ROA was assessed using generalised estimating equations.

Results

The prevalence of definite ROA was 11.0% (n = 218/1982 hips), with prevalence in painful and pain-free hips of 13.3% (n = 105/789) and 9.5% (n = 113/1193), respectively. Prevalence of early-stage hip ROA was 35.3% (n = 700/1982), with prevalence in painful and pain-free hips of 41.2% (n = 325/789) and 31.4% (n = 375/1193), respectively. Compared with pain-free hips, the odds ratio painful hips was 1.51 (95% confidence interval [CI] = 1.16 to 1.98) for definite ROA and 1.47 (95% CI = 1.24 to 1.75) for early-stage ROA.

Conclusion

Hip pain was associated with definite and early-stage hip ROA, yet the overall ROA prevalence was modest and the prevalence among pain-free hips was substantial. Therefore, radiographs provided little assistance with help to identify patients with hip OA among patients who recently presented with hip or knee complaints.
¿Un mayor número de niños y niñas migrantes hace que las prácticas de las educadoras de párvulo sean más inclusivas? Un estudio de caso en jardines públicos en Chile
Authors: Santander Ramírez Eduardo Felipe , Muñoz López Yarela , Fernández Martínez María José , Soto de la Cruz Patricia
Published: July 2022

Chile ha recibido una cantidad considerable de población migrante en el último tiempo, lo que ha levantado la pregunta sobre cómo los educadores gestionan este desafío pedagógico de inclusión sociocultural en los contextos de aula nacionales. La siguiente investigación es un estudio exploratorio que evalúa cómo las educadoras de párvulos modifican sus prácticas de interacción con los niños/os y de promoción a la diversidad, cuando tienen más y menos población migrante en sus aulas de clase. El principal hallazgo de este estudio es que no hay diferencias en las prácticas cuando hay más o menos población migrante. Esta averiguación sugiere una mayor sensibilización y formación reflexiva de las educadoras de párvulos para contribuir a movilizar prácticas de diversificación y adaptación curricular orientadas a garantizar mayor inclusión en las aulas chilenas.
Assessment of the Effect of Nutrition Education Based on BASNEF Model on Decreasing Blood Lipid Profile
Authors: Samieipour Soheila , Tavassoli Elahe , Aliakbari Fatemeh , Javadzade Homamodin , Reisi Mahnoush , Fathollahi Dehkordi Fariba , Rabiei Leili
Published: July 2022

Background and aims: Dyslipidemia is one of the major causes of cardiovascular disease (CVD); however, it can be prevented and controlled via observing and adherence to a diet. This study aimed at determining the effect of nutrition education based on BASNEF model on decreasing blood lipid profile. Methods: This clinical trial study was conducted on 150 people with a high blood lipid profile who referred to Shahrekord laboratories in 2020. The samples were randomly divided into intervention and control groups. In order to measure blood lipids such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), and total cholesterol (TC), 15 mL of venous blood samples were collected after 12 hours fasting before the intervention and again 2 months after the intervention. The intervention group received nutrition education based on BASNEF model, and the collected data were analyzed using SPSS version 20 software. Results: There was no significant difference between the two groups in terms of demographic variables. TG levels in the intervention group decreased significantly after the intervention (P<0.001). In addition, TC and LDL levels decreased significantly in the intervention group after the intervention (P<0.001), while the level of HDL index in the intervention group increased significantly after the intervention. Nonetheless, there was no significant difference in these indices in the control group after the intervention (P>0.05). Conclusion: The significant decrease in blood lipids after a short period indicates the effect of nutrition education based on BASNEF model and adherence to proper diet on controlling blood lipids. Therefore, recommending people to adhere to a proper diet can help raise people’s nutritional awareness and reduce blood lipids.
Association of Severe Outcomes With Underlying Diseases Among Hospitalized COVID-19 Patients: A Retrospective Cohort Study
Authors: Mohaghegh Pegah , Eslami Mohammad , Ahmadi Farzane , Sofian Masoomeh , Karimi Rasool
Published: July 2022

Predicting the outcomes of coronavirus disease 2019 (COVID‐19) with comorbidities has been an interesting subject of study in the field of medicine. This study aimed to compare the clinical characteristics, radiologic features, and severe outcomes of COVID-19 among hospitalized COVID-19 patients with or without underlying comorbidity diseases. In this retrospective cohort study conducted from 1 June 2020 to 30 September 2020, 320 hospitalized cases with laboratory-confirmed COVID-19 and admitted to public hospitals in Arak, Iran, were examined. The mean±SD age of the patients was 56.78±20.06 years. The comorbidity group showed a substantially greater percentage of defined nodular pattern in chest X-ray (7.6% vs 2%, P=0.024) and plural effusion in CT scan findings (9% vs 0%, P=0.004). Intensive care unit (ICU) admission (6.9% vs. 0.6%, P=0.003), mechanical ventilation (5.0% vs. 0.6%, P=0.018), and death (6.3% vs. 0.0%, P=0.002) were higher in the comorbidity group. Comorbidity group had a considerably greater ratio of ICU admission, invasive ventilation, and mortality.
Elements of Cultural Life of Hindu Nadars and Traditional Elements of Cult Deity worship of Hindu Nadars which give Rise to Social Reform Ideas – A Study
Authors: S Paramasivam
Published: July 2022

The feelings, actions, and habits of the individual are the first steps in the development of culture. Another stage is the cultural development of societies formed by individuals living together. Culture is the third stage when the lifestyle, habits, artistic sensibility, and maturity of thought formed when many communities work together to form a community and intertwine as a community are all manifested as a kind of social thought. No mention of Nadars is found in Sangam Tamil literature. The state of the Nadars is known from the references of Christian missionaries in the early nineteenth century. At the beginning of the 19th century, social reform movements emerged in many places around the world, and there was awareness among the people of society. At that time, the status of the people of the Nadar community was backward in the social hierarchy. The word "wise men" is another name for Chanars. It is no exaggeration to say that in the social and religious hierarchies, the Chanars were slightly superior to the lower castes and a little inferior to the upper castes, and the status of the Nadars, who were denied entry into the temple to worship, due to the democratic renaissance social strata in today's era, the present state that this community has reached in the social strata and religious hierarchies is a pioneering society for the various ethnic groups that may exist in the world. In this article, we will see the importance of cultural elements such as economic resources, education, artistic development, morals, constitution and traditional elements of clan deity worship such as temple structure, worship methods, festivals, and social participation, etc. in making social reform ideas flourish.