bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of the Relationship between High Mountain Asia Snow Cover and Drought and Flood in the Yangtze River Basin during 1980–2019
Authors: Zhou Heng , Zhang Lu , Liu Xuting , Liang Dong , Zhu Qi , Gou Yiting
Published: July 2022

High Mountain Asia (HMA), with its high altitude, widely distributed snow and frozen soil, influences the climate of the northern hemisphere and even the world through thermal balance and the water vapor cycle and is also an indicator of global climate change. The influence of HMA snow cover on its surrounding areas has always been a research hotspot. Taking the Yangtze River Basin (YRB) of China as an example, this paper analyzes the relationship between winter snow depth in HMA and drought and flood in spring and summer in the YRB in the recent 40 years by using Singular Value Decomposition (SVD). The results show that the influence of snow cover on drought and flood in spring is inversely different between eastern and western parts of HMA, while the effect in summer is consistent. When the snow depth is larger (smaller) in the east and smaller (larger) in the west in winter, the YRB is drier (wetter) in spring. When the overall snow depth in HMA is larger (smaller) in winter, the northern part of the middle and lower reaches of the YRB is drier (wetter) in summer. The results provide support for understanding the impact of HMA snow cover on the surrounding climate and some important indicators for drought and flood prediction in the YRB.
Accuracy of the Copernicus High-Resolution Layer Imperviousness Density (HRL IMD) Assessed by Point Sampling within Pixels
Authors: Strand Geir-Harald
Published: July 2022

The Copernicus high-resolution layer imperviousness density (HRL IMD) for 2018 is a 10 m resolution raster showing the degree of soil sealing across Europe. The imperviousness gradation (0–100%) per pixel is determined by semi-automated classification of remote sensing imagery and based on calibrated NDVI. The product was assessed using a within-pixel point sample of ground truth examined on very high-resolution orthophoto for the section of the product covering Norway. The results show a high overall accuracy, due to the large tracts of natural surfaces correctly portrayed as permeable (0% imperviousness). The total sealed area in Norway is underestimated by approximately 33% by HRL IMD. Point sampling within pixels was found to be suitable for verification of remote sensing products where the measurement is a binomial proportion (e.g., soil sealing or canopy coverage) when high-resolution aerial imagery is available as ground truth. The method is, however, vulnerable to inaccuracies due to geometrical inconsistency, sampling errors and mistaken interpretation of the ground truth. Systematic sampling inside each pixel is easy to work with and is known to produce more accurate estimates than a simple random sample when spatial autocorrelation is present, but this improvement goes unnoticed unless the status and location of each sample point inside the pixel is recorded and an appropriate method is applied to estimate the within-pixel sampling accuracy.
Using Electrical Resistivity Tomography to Monitor the Evolution of Landslides’ Safety Factors under Rainfall: A Feasibility Study Based on Numerical Simulation
Authors: Bai Dongxin , Lu Guangyin , Zhu Ziqiang , Zhu Xudong , Tao Chuanyi , Fang Ji
Published: July 2022

Although electrical resistivity tomography (ERT) may gather the internal resistivity information from a landslide area in a large-scale, low-cost, and non-invasive manner compared to point-based sensor monitoring technology, the indirect resistivity information obtained cannot directly evaluate the landslide’s current mechanical status, such as stress, strength, etc. Based on ERT monitoring data, a framework for quantitatively and directly evaluating the evolution of the factor of safety (FOS) of landslides during rainfall is proposed. The framework first inverts ERT observation data using the inexact Gauss–Newton method based on multiple constraints to obtain a more realistic resistivity distribution, then calculates the saturation distribution using Archie’s equation, and finally calculates the FOS of landslides using the finite element strength reduction method. Twelve sets of numerical experiments were designed and carried out based on the synthetic data of a theoretical model. The experimental results show that the proposed framework is valid and reliable under various arrays, apparent resistivity noise, and uncertainty in the water-electric correlation curve, with the Dipole-Dipole array outperforming the others in terms of accuracy, sensitivity, and anti-noise capability. The proposed framework is significant in improving ERT monitoring and early warning capabilities for rainfall-induced landslides.
Effect of Stochastic Modeling for Inter-Frequency Biases of Receiver on BDS-3 Five-Frequency Undifferenced and Uncombined Precise Point Positioning
Authors: Liu Yi , Zhou Wei , Ji Bing , Yu Deying , Bian Shaofeng , Gu Shouzhou , Li Deyan
Published: July 2022

The third generation of the Beidou navigation satellite system (BDS-3) broadcasts navigation signals of five frequencies. Focusing on the deep integration of five-frequency signals, we applied the joint BDS-3 five-frequency undifferenced and uncombined precise point positioning (UC-PPP) to analyze the receiver inter-frequency biases (IFB). Firstly, 12 Multi-GNSS Experiment tracking (MGEX) stations are selected to investigate the time-varying characteristics of receiver IFB and, according to random characteristics, three random modeling schemes are proposed. Secondly, the effects of three stochastic modeling methods on zenith tropospheric delay, ionospheric delay, floating ambiguity, and quality control are analyzed. Finally, the effects of three IFB stochastic modeling methods on positioning performance are evaluated. The results showed that the amplitude in the IFB for B2b is 5.139 m, B2a is 1.964 m, and B1C is 0.950 m by measuring one week’s observation data. The IFB stochastic modeling method based on random walks can shorten the PPP convergence time by 4~12%, diminish the false alarm of quality control, and improve the positioning accuracy. The random walk model is recommended to simulate the variation of IFB, which can not only overcome the disadvantage of the time constant model being unable to accurately describe the time-varying characteristics of the IFB, but also avoid reducing the strength of the kinematic PPP positioning model due to the large process noise of the white noise model.
Expandable On-Board Real-Time Edge Computing Architecture for Luojia3 Intelligent Remote Sensing Satellite
Authors: Zhang Zhiqi , Qu Zhuo , Liu Siyuan , Li Dehua , Cao Jinshan , Xie Guangqi
Published: July 2022

Since the data generation rate of high-resolution satellites is increasing rapidly, to relieve the stress of data downloading and processing systems while enhancing the time efficiency of information acquisition, it is important to deploy on-board edge computing on satellites. However, the volume, weight, and computability of on-board systems are strictly limited by the harsh space environment. Therefore, it is very difficult to match the computability and the requirements of diversified intelligent applications. Currently, this problem has become the first challenge of the practical deployment of on-board edge computing. To match the actual requirements of the Luojia3 satellite of Wuhan University, this manuscript proposes a three-level edge computing architecture based on a System-on-Chip (SoC) for low power consumption and expandable on-board processing. First, a transfer level is designed to focus on hardware communications and Input/Output (I/O) works while maintaining a buffer to store image data for upper levels temporarily. Second, a processing framework that contains a series of libraries and Application Programming Interfaces (APIs) is designed for the algorithms to easily build parallel processing applications. Finally, an expandable level contains multiple intelligent remote sensing applications that perform data processing efficiently using base functions, such as instant geographic locating and data picking, stream computing balance model, and heterogeneous parallel processing strategy that are provided by the architecture. It is validated by the performance improvement experiment that following this architecture, using these base functions can help the Region of Interest (ROI) system geometric correction fusion algorithm to be 257.6 times faster than the traditional method that processes scene by scene. In the stream computing balance experiment, relying on this architecture, the time-consuming algorithm ROI stabilization production can maintain stream computing balance under the condition of insufficient computability. We predict that based on this architecture, with the continuous development of device computability, the future requirements of on-board computing could be better matched.
A Joint Method for Wave and Wind Field Parameter Inversion Combining SAR with Wave Spectrometer Data
Authors: Wan Yong , Zhang Xiaona , Fan Chenqing , Qu Ruozhao , Ma Ennan
Published: July 2022

Synthetic aperture radar (SAR) and wave spectrometer are common methods for observing the ocean wind field and waves on the sea surface, but both have limitations. Due to the influence of velocity bunching modulation, SAR wave observation is limited by the azimuth cut-off phenomenon. Meanwhile, SAR relies on an external wind direction source, so it is difficult for SAR to observe wind fields independently. There is no azimuthal cut-off phenomenon when the spectrometer observes the sea surface, but its azimuth resolution is much lower than SAR. Combining the above characteristics, the joint inversion of SAR and wave spectrometer for sea-state parameters becomes possible. In this paper, a joint method for wind field and wave parameter inversion combining SAR with spectrometer data is proposed. In this method for wave parameter inversion, the wave spectrum of the spectrometer was used as a first-guess spectrum of SAR wave spectrum inversion, the fit wave spectrum obtained by joint inversion and the modified wave spectrum of the spectrometer were fused to form a new spectrum, and the wave parameters were calculated. For wind field parameter inversion, wind direction was obtained using a wave spectrometer, and was used as the input of the SAR wind field inversion. Wind speed was obtained using the CMOD5.N method. Collocated data from Sentinel-1 SAR, the wave spectrometer, the National Data Buoy Center (NDBC) buoy, and the European Centre for Medium-Range Weather Forecasting (ECMWF) are used to verify the proposed method. Sea parameters retrieved from the spectrometer and SAR are compared to the buoy and ECMWF data. The results show that the root mean square errors of significant wave height, mean wave period, wind direction and wind speed are 0.37 m, 1.02 s, 22.7° and 1.06 m/s with ECMWF data, and 0.35 m, 0.78 s, 18.22° and 0.92 m/s with buoy data, respectively. By comparing the inversion results with the L2 products of SAR and SWIM, it can be concluded that the inversion accuracy of the joint method is higher in the middle and low sea conditions. Therefore, the joint inversion method for wind field and wave parameters proposed in this paper has good results, which verifies the accuracy of the joint inversion method.
A Combination of Machine Learning Algorithms for Marine Plastic Litter Detection Exploiting Hyperspectral PRISMA Data
Authors: Taggio Nicolò , Aiello Antonello , Ceriola Giulio , Kremezi Maria , Kristollari Viktoria , Kolokoussis Polychronis , Karathanassi Vassilia , Barbone Enrico
Published: July 2022

A significant amount of the produced solid waste reaching the oceans is made of plastics. The amount of plastic debris in the ocean and coastal areas is steadily increasing and is now a major global environmental issue. The monitoring of marine plastic litter, ground-based monitoring systems and/or field campaigns are time-consuming, expensive, require great organisational efforts, and provide very limited information in terms of the spatial and temporal dynamics of marine debris. Earth Observation (EO) by satellite can contribute significantly to marine plastic litter detection. In 2019, a new hyperspectral satellite, called PRISMA, was launched by the Italian Space Agency. The high spectral resolution of PRISMA may allow for better detection of floating plastic materials. At the same time, Machine Learning (ML) algorithms have the potential to find hidden patterns and identify complex relations among data and are increasingly employed in EO. This paper presents the development of a new method of identifying floating plastic objects in coastal areas by exploiting pan-sharpened hyperspectral PRISMA data, based on the combination of unsupervised and supervised ML algorithms. The study consisted of a configuration phase, during which the algorithms were trained in a fully controlled test, and a validation phase, in which the pre-trained algorithms were applied to satellite data collected at different sites and in different periods of the year. Despite the limited input data, results suggest that the tested ML approach, applied to pan-sharpened PRISMA data, can effectively recognise floating objects and plastic targets. The study indicates that increasing input datasets can help achieve higher-quality results.
Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network
Authors: Baig Imran , Ul Hasan Najam , Valsalan Prajoona , Zghaibeh Manaf
Published: July 2022

Multicasting is a basic networking primitive used in a wide variety of applications that is also true for cognitive radio-based networks. Although cognitive radio technology is considered to be the most promising technology to deal with spectrum scarcity, it relates to completely different aspects of networking and presents new challenges. For cognitive radio-based multicast sessions, it is important to use the spectrum efficiently by reducing the number of channels used as well as engaging fewer nodes in data relaying. This will benefit the network in three ways. First, it will decrease the number of transmissions. Second, it will help to reduce energy usage. Third, it will spare more channels and relay nodes for simultaneous multicast sessions. To achieve these advantages, efficient channel selection and relay nodes are required based on hop-to-hop communication. In this paper an algorithm has been developed that attempts to minimize energy consumption by selecting the minimum possible number of relay nodes and channels for a multicast session, taking into account the sporadic availability of the spectrum. The proposed method performs effectively compared to the flooding method in terms of energy consumption for the provided examples in multicasting.
W-Band 4th Order Waveguide Filter Based on Double Layer SU8 Microfabrication
Authors: Liu Min , Yang Qian , Zhang Anxue , Guo Cheng , Chen Juan
Published: July 2022

This paper investigates the fabrication accuracy of the W-band SU-8 photoresist micromachined 4th order waveguide bandpass filters (BPF). The designed filter based on cylindrical resonators is excited in TM010 mode. It is ideally suitable for the layered SU-8 micromachining process as the height of the resonator is much smaller than one wavelength, the electromagnetic fields remain unchanged in the thickness direction. The filter is composed of three silver-coated SU-8 layers based on a double-layer overlay process. Excellent manufacturing tolerances can be controlled within 4 μm in the thickness direction, around 10 μm in double-layer stacking accuracy, and an average of 1° in vertical angle deviation. Various challenges encountered in the SU-8 process are investigated while corresponding general solutions are proposed for machining high-precision devices. The measured results show a return loss of 12.4 dB and a minimum insertion loss of 0.8 dB, which are in agreement with the simulated one. Stress and deformation analysis are also conducted to confirm the maximum pressure that the filter can withstand and maintain good transmission performance.
User-Centric Proximity Estimation Using Smartphone Radio Fingerprinting
Authors: Švigelj Aleš , Hrovat Andrej , Javornik Tomaž
Published: July 2022

The integration of infectious disease modeling with the data collection process is crucial to reach its maximum potential, and remains a significant research challenge. Ensuring a solid empirical foundation for models used to fill gaps in data and knowledge is of paramount importance. Personal wireless devices, such as smartphones, smartwatches and wireless bracelets, can serve as a means of bridging the gap between empirical data and the mathematical modeling of human contacts and networking. In this paper, we develop, implement, and evaluate concepts and architectures for advanced user-centric proximity estimation based on smartphone radio environment monitoring. We investigate innovative methods for the estimation of proximity, based on a person-radio-environment trace recorded by the smartphone, and define the proximity parameter. For this purpose, we developed a smartphone application and back-end services. The results show that, with the proposed procedure, we can estimate the proximity of two devices in terms of near, medium, and far distance with reasonable accuracy in real-world case scenarios.
Improving PMUT Receive Sensitivity via DC Bias and Piezoelectric Composition
Authors: Cheng Christopher , Peters Travis , Dangi Ajay , Agrawal Sumit , Chen Haoyang , Kothapalli Sri-Rajasekhar , Trolier-McKinstry Susan
Published: July 2022

The receive sensitivity of lead zirconate titanate (PZT) piezoelectric micromachined ultrasound transducers (PMUTs) was improved by applying a DC bias during operation. The PMUT receive sensitivity is governed by the voltage piezoelectric coefficient, h31,f. With applied DC biases (up to 15 V) on a 2 μm PbZr0.52Ti0.48O3 film, e31,f increased 1.6 times, permittivity decreased by a factor of 0.6, and the voltage coefficient increased by ~2.5 times. For released PMUT devices, the ultrasound receive sensitivity improved by 2.5 times and the photoacoustic signal improved 1.9 times with 15 V applied DC bias. B-mode photoacoustic imaging experiments showed that with DC bias, the PMUT received clearer photoacoustic signals from pencil leads at 4.3 cm, compared to 3.7 cm without DC bias.
Analysis of Pressure Fluctuation Characteristics of Central Swirl Combustors Based on Empirical Mode Decomposition
Authors: Wang Xuhuai , Zhang Xiang , Yang Chen , Li Hao , Liu Yong
Published: July 2022

In order to study the characteristics of pressure fluctuation during unstable combustion, experimental studies had been conducted on the mechanism model of the swirl combustor and the industrial swirl combustor. The signal of dynamic pressure, heat release rate, and the high-speed flame image in the two combustors were synchronously collected by using dynamic pressure sensors, a photoelectric sensor, and a high-speed camera under normal temperature and pressure. After empirical mode decomposition of the dynamic pressure signal, several intrinsic mode functions were obtained. It was found that the pressure pulsation energy is concentrated in the first three order intrinsic mode function. Through fast Fourier transform spectrum calculation, it was found that the first three order intrinsic mode function pulsation can characterize the changes of heat release rate and air flow pulsation under cold state and flame instability. It showed that the decomposition of the dynamic pressure in the combustor by this method can obtain the main physical processes in its connotation, and provide data processing methods for the induction mechanism of oscillating combustion and combustion diagnosis in an industrial combustor test.
A Configurable Monitoring, Testing, and Diagnosis System for Electric Power Plants
Authors: Albița Anca , Selișteanu Dan
Published: July 2022

The specific equipment, installation and machinery infrastructure of an electric power system have always required specially designed data acquisition systems and devices to ensure their safe operation and monitoring. Besides maintenance, periodical upgrade must be ensured for these systems, to meet the current practical requirements. Monitoring, testing, and diagnosis altogether represent key activities in the development process of electric power elements. This work presents the detailed structure and implementation of a complex, configurable system which can assure efficient monitoring, testing, and diagnosis for various electric power infrastructures, with proven efficiency through a comprehensive set of experimental results obtained in real running conditions. The developed hardware and software implementation is a robust structure, optimized for acquiring a large variety of electrical signals, also providing easy and fast connection within the monitored environment. Its high level of configurability and very good price–performance ratio makes it an original and handy solution for electric power infrastructures.
Resource Allocation and Sharing Methodologies When Reconfigurable Intelligent Surfaces Meet Multiple Base Stations
Authors: Ramamoorthi Yoghitha , Ohmiya Riku , Iwabuchi Masashi , Ogawa Tomoaki , Takatori Yasushi
Published: July 2022

The 6G wireless systems are expected to have higher capacity, reliability, and energy efficiency than the existing cellular systems. Millimeter-wave (mmWave) frequencies offer high capacity at the cost of high attenuation and blockage losses. Reconfigurable intelligent surface (RIS) assisted mmWave networks consist of smaller antenna elements that control the propagation channel between the base station (BS) and the user by appropriately tuning the phase and the reflection of the incident electromagnetic signal. The deployment of RIS is considered to be an energy efficient solution to improve the coverage of regions with high blocking probability. However, if every BS is associated with one or more dedicated RIS, then the density of RIS increases proportionally with the density of BSs. Hence in this work, we propose RIS sharing mechanisms where multiple BSs share one RIS. We formulate resource allocation of RIS sharing in terms of time and the RIS elements as an optimization problem, and we propose heuristics to solve both. Further, we present detailed simulation results to compare time and the element based RIS sharing methods for various scenarios with the benchmark and the RIS system without sharing. The proposed time and element based RIS sharing methods improve throughput upto 53% and 25%, respectively, compared to the RIS system without sharing in specific scenarios.
High Sensitivity Monitoring of VOCs in Air through FTIR Spectroscopy Using a Multipass Gas Cell Setup
Authors: D’Arco Annalisa , Mancini Tiziana , Paolozzi Maria Chiara , Macis Salvatore , Mosesso Lorenzo , Marcelli Augusto , Petrarca Massimo , Radica Francesco , Tranfo Giovanna , Lupi Stefano , Della Ventura Giancarlo
Published: July 2022

Human exposure to Volatile Organic Compounds (VOCs) and their presence in indoor and working environments is recognized as a serious health risk, causing impairments of varying severities. Different detecting systems able to monitor VOCs are available in the market; however, they have significant limitations for both sensitivity and chemical discrimination capability. During the last years we studied systematically the use of Fourier Transform Infrared (FTIR) spectroscopy as an alternative, powerful tool for quantifying VOCs in air. We calibrated the method for a set of compounds (styrene, acetone, ethanol and isopropanol) by using both laboratory and portable infrared spectrometers. The aim was to develop a new, and highly sensitive sensor system for VOCs monitoring. In this paper, we improved the setup performance, testing the feasibility of using a multipass cell with the aim of extending the sensitivity of our system down to the part per million (ppm) level. Considering that multipass cells are now also available for portable instruments, this study opens the road for the design of new high-resolution devices for environmental monitoring.
2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters
Authors: Urooj Asfia , Dak Aastha , Ristic Branko , Radhakrishnan Rahul
Published: July 2022

In this paper, angles-only target tracking (AoT) problem is investigated in the non Gaussian environment. Since the conventional minimum mean square error criterion based estimators tend to give poor accuracy in the presence of large outliers or impulsive noises in measurement, a maximum correntropy criterion (MCC) based framework is presented. Accordingly, three new estimation algorithms are developed for AoT problems based on the conventional sigma point filters, termed as MC-UKF-CK, MC-NSKF-GK and MC-NSKF-CK. Here MC-NSKF-GK represents the maximum correntropy new sigma point Kalman filter realized using Gaussian kernel and MC-NSKF-CK represents realization using Cauchy kernel. Similarly, based on the unscented Kalman filter, MC-UKF-CK has been developed. The performance of all these estimators is evaluated in terms of root-mean-square error (RMSE) in position and % track loss. The simulations were carried out for 2D as well as 3D AoT scenarios and it was inferred that, the developed algorithms performed with improved estimation accuracy than the conventional ones, in the presence of non Gaussian measurement noise.
Improving Network-Based Anomaly Detection in Smart Home Environment
Authors: Li Xiaonan , Ghodosi Hossein , Chen Chao , Sankupellay Mangalam , Lee Ickjai
Published: July 2022

The Smart Home (SH) has become an appealing target of cyberattacks. Due to the limitation of hardware resources and the various operating systems (OS) of current SH devices, existing security features cannot protect such an environment. Generally, the traffic patterns of an SH IoT device under attack often changes in the Home Area Network (HAN). Therefore, a Network-Based Intrusion Detection System (NIDS) logically becomes the forefront security solution for the SH. In this paper, we propose a novel method to assist classification machine learning algorithms generate an anomaly-based NIDS detection model, hence, detecting the abnormal SH IoT device network behaviour. Three network-based attacks were used to evaluate our NIDS solution in a simulated SH test-bed environment. The detection model generated by traditional and ensemble classification Mechanical Learning (ML) methods shows outstanding overall performance. The accuracy of all detection models is over 98.8%.
Medical scientific school in the socio-cultural space
Authors:   FGBNIU ", Yanshina Margarita Vasilyevna ,   Russian Institute of Cultural Studies",   , Russia, Moscow
Published: July 2022

he article discusses the issues of participation of scientific medical schools in the formation and development of the socio-cultural space. The socio-cultural features of scientific medical schools are noted. The issues of mutual influence of scientific medical schools and other socio-cultural institutions of society are being developed, the features of the current stage of their development are highlighted. The scientific and practical orientation of scientific medical schools as socio-cultural institutions is emphasized.
The phenomenon of national identity
Authors:   NOU ", Dobryakov Kirill I. ,   Humanitarian and Social Institute",   , Russia, Moscow region, Lyubertsy
Published: July 2022

This article gives the concept of identity. The necessary elements that make it possible to talk about national identity are determined. The main factors influencing the formation of national identity are described.
The language of the historian as a meeting place of the "past" and "present"
Authors:   Omsk State University named after F. M. Dostoevsky, Russia, Nekhaeva Iraida Nikolaevna
Published: July 2022

The article contains an analytical look at the situation of the "reflecting historian", characterized by a rational attitude of building a language field saturated with historical intentions capable of realizing the context of awareness of the connection of the "past" and "the real one."
Polytheism in the symbols of Roman Catacomb painting
Authors:   Moscow Humanitarian University, Russia, Pedro Julia Valeryevna
Published: July 2022

Taking into account such important features of the symbol as the variability of its meanings and the dependence of its use on the cultural context in which it was formed, the article examines the influence of pagan ideas on the most famous symbols of the catacombs of the early Christian period to date. The most interesting are the images of the cross, the monogram, the fish (Ίχθύς) and the dove, which read their connection with the ancient cults of Mesopotamia, Egypt and Greece. The problem of interpreting the symbols of Christian art and the study of the totality of the meanings inherent in it will help in the study of such an important component of religion as the phenomenon of double-belief.
The problem of immigrants in multicultural Great Britain
Authors:   NOU ", Osipkina Nadezhda Petrovna ,   Humanitarian and Social Institute",   , Russia, Moscow region, Lyubertsy
Published: July 2022

The article is devoted to the problems of immigrants in multicultural Great Britain. Individuality and culture are dynamically linked to place, landscape and localization. Each such locality has its own immigration history, which affects living standards, education, and political views. The article shows that the term "multiculturalism" has been divided into the concepts of "common rights" and "minority rights".
Features of the formation of the Russian gallery business
Authors:   NP ", Moskalenko Grigory Kirillovich ,   Panorama Publishing House",   , Russia, Moscow
Published: July 2022

In the framework of this work, the main subjects and modern conditions of the art business in Russia are considered. Socio-professional groups of dealers, experts, and artists are identified. Attention is focused on the regulatory and intermediary functions of creative organizations.
Art hotels as Part of the Art Tourism Infrastructure in St. Petersburg: at the Intersection of Business and Art
Authors:   St. Petersburg State University of Service and Economics, Russia, Shkuropat Svetlana Gennadievna
Published: July 2022

The article is devoted to the study of the phenomenon of the art hotel as an important part of the art tourism infrastructure in St. Petersburg, the cultural potential of the city for the development of art tourism is analyzed. The author's typology proposed in the article offers a new approach to the study of art hotels, taking into account the specifics of the cultural environment of St. Petersburg. The author touches upon the problem of "cultural speculation" on the interest in art tourism.
Dispositivos móviles en los trastornos de conductas de los niños de 0 a 3 años
Authors: Bailón Mezones Maryori Katiuska , Vaca-Cárdenas Mónica Elva
Published: July 2022

Los dispositivos móviles han causado gran impacto en la sociedad, convirtiéndose en un verdadero atractivo para los más pequeños. Sin embargo, su alto nivel de disponibilidad y el fácil acceso a los contenidos han desarrollado consecuencias negativas y desfavorables en los niños, por cuanto dichos dispositivos móviles son utilizados por periodos prolongados y sin fines educativos. El presente trabajo tuvo como objetivo principal, identificar la influencia que tiene el uso de los dispositivos móviles en los trastornos de conductas de los niños de 0 a 3 años del Centro Creciendo con Nuestros Hijos en su entorno familiar se realizó una investigación bibliográfica y de campo, de nivel explicativo con un diseño no probabilístico ´de corte transversal. Para la recolección de información se aplicó una encuesta a padres de familia del Centro Creciendo con Nuestros Hijos y una guía de observación a niños de 0 a 3 años, con un total de muestra de 90 miembros de la comunidad educativa. Mediante esta investigación se evidenció que el uso del dispositivo móvil afecta de manera significativa el aprendizaje y el comportamiento de los niños/as. la permisividad de los padres a que los niños utilicen los dispositivos móviles desde temprana edad ha causado que, los niños desarrollen una serie de conductas negativas por la falta de control en el uso de estos medios.
PALABRAS CLAVE: Nuevas tecnologías; dispositivos móviles; trastornos de conductas; enseñanza aprendizaje; entorno familiar.
Mobile devices in behavioral disorders in children from 0 to 3 years old
ABSTRACT
Mobile devices have had a great impact on society, becoming a real attraction for little children. However, its high level of availability and easy access to content have developed negative and unfavorable consequences for children as these mobile devices are used for long periods of time and without educational purposes. The main objective of this work was to identify the influence that the use of mobile devices has on behavioral disorders in children from 0 to 3 years of old at the Center “Creciendo con Nuestros Hijos” in their family environment. A bibliographic and field research was carried out. The investigation was at an explanatory level with a non-probabilistic, cross-sectional design. For data collection, a survey was applied to parents and one teacher of the Center, and an observation guide applied to children from 0 to 3 years old: with a total sample of 91 members of the educational community. This research showed that the use of the mobile devices significantly affects the learning and behavior of children. The permissiveness of parents for children to use mobile devices from an early age has caused children to develop a series of negative behaviors due to the lack of control in the use of these devices.
KEYWORDS: New technologies; mobile devices; behavioral disorders; teaching and learning; familiar environment.
Educación emocional: factor clave en el proceso educativo
Authors: Barreto Rivas Maria Elizabeth , Molina Naranjo Mara Jacqueline , Mendoza Bravo Karina Luzdelia
Published: July 2022

El presente artículo aborda una temática de gran importancia como es la educación de las emociones lo cual se constituye en un factor clave para el fortalecimiento de la convivencia armónica de los estudiantes. El objetivo de este trabajo fue establecer los fundamentos teóricos que sustentan la educación de las emociones y los beneficios que reporta en la convivencia escolar armónica. Se empleó un estudio bibliográfico apoyado en los métodos teóricos de análisis y síntesis, obteniéndose como resultados las varias premisas teóricas, tales como: La educación de las emociones es una estrategia de construcción de aprendizajes; la educación es un proceso caracterizado por la relación interpersonal, está impregnada por fenómenos emocionales; se debe conocer el grado de estimulación que brinda al coeficiente emocional de los estudiantes; para ello se deben tomar en cuenta algunas condiciones tales como el ambiente, diferencias culturales, motivación, emociones entre otros. En base a todo lo analizado, se puede afirmar, que las emociones son un factor indispensable en el proceso enseñanza aprendizaje; además favorecen la convivencia de toda la comunidad educativa.
PALABRAS CLAVES: Relación interpersonal; emociones; convivencia; aprendizajes; estrategia.
Emotional education: key factor in the educational process
ABSTRACT
This article addresses a topic of great importance such as the education of emotions, which is a key factor in strengthening the harmonious coexistence of students. The objective of this work was to establish the theoretical foundations that support the education of emotions and the benefits it brings in harmonious school coexistence. A bibliographic study was used supported by the theoretical methods of analysis and synthesis, obtaining as results, some theoretical premises, such as: The education of emotions is a learning construction strategy; education is a process characterized by interpersonal relationship, it is permeated by emotional phenomena; the degree of stimulation it provides to the emotional coefficient of the students must be known; For this, some conditions such as the environment, cultural differences, motivation, emotions, among others, must be present. Based on everything analyzed, it can be stated that emotions are an indispensable factor in the teaching-learning process; they also favor the coexistence of the entire educational community.
KEYWORDS: Interpersonal relationship; emotions; coexistence; learning; strategy.
Orientación educativa para el uso de las TIC en la formación pedagógica de ingenieros
Authors: López Collazo Zeidy Sandra , González Ruda Norma
Published: July 2022

El artículo trata de una experiencia pedagógica para el mejoramiento del proceso de formación pedagógica de ingenieros. Esta aconteció en la carrera de Ingeniería en Telecomunicaciones y Electrónica mediante la asignatura de Pedagogía y Didáctica de la Educación Superior. Para ello se aplicaron métodos del nivel teórico, empírico y métodos estadísticos que permitieron sistematizar los referentes teóricos que sustentan la orientación educativa como proceso constitutivo de la formación de ingenieros. La valoración del impacto se realizó mediante la técnica de Iadov y el grado de satisfacción de cada estudiante con un índice de satisfacción de 0.95, lo cual indica que estos se sintieron satisfechos con la orientación educativa recibida para el uso de las Tecnologías de la Información y la Comunicación y se evidencia una tendencia favorable en comprender las implicaciones pedagógicas que adquiere la mediación tecnológica en los procesos formativos en los cuales las Tecnologías de la Información y la Comunicación se usen y aprovechen como herramientas transformadoras.
PALABRAS CLAVE: Orientación educativa; formación pedagógica; TIC; ingenieros.
Educational guidance for the use of ict in the pedagogical training of engineers
ABSTRACT
The article addresses a pedagogical experience for the improvement of the pedagogical training process for engineers. This occurred in the Telecommunications and Electronics Engineering career through the elective / elective subject of Pedagogy and Teaching of Higher Education. For this, methods of the theoretical, empirical level and statistical methods were applied that allowed to systematize the theoretical references that support the educational orientation as a constitutive process of the training of engineers. The impact assessment was carried out using the Iadov technique and the degree of satisfaction of each student with a satisfaction index (ISG) of 0.95, which indicates that they were satisfied with the educational orientation received for the use of the Technologies of Information and Communication and there is evidence of a favorable trend in understanding the pedagogical implications that technological mediation acquires in the training processes in which Technologies of Information and Communication are used and exploited as transformative tools.
KEYWORDS: Educational orientation; Pedagogical training; ICT; engineers.
Neutralidad de Red: Análisis teórico y sus relaciones con las empresas internacionales
Authors: Rivero Torres Carlos , Velepucha Sánchez María , Gómez Rivadeneira Johanna , Bazurto Vinces Jandre
Published: July 2022

Esta investigación tiene como objetivo demostrar la importancia de neutralidad de red, sus funcionalidades, reglas y beneﬁcios. Teniendo en cuenta que existe un creciente de in- terés sobre este tema, tanto en el ámbito gubernamental como corporativo. La metodología utilizada fue de carácter cuantitativo a través de encuestas y cualitativo a través del análisis crítico de los autores; así también recopilación teórica que permitió conocer las masivas regulaciones de neutralidad de red en la política-corporativa de las mismas. La informa- ción recopilada a través de sus resultados demuestra el gran impacto llamado “Neutralidad de Red” evidenciando su caída en el año 2018 existiendo caos en empresas como Netﬂix, Amazon, Facebook, entre otras; que se oponen a la propuesta de cambiar las regulaciones de internet en EE.UU. En el caso de Ecuador existen leyes que regulan las empresas a ﬁn que el internet es utilizado por los usuarios y el uso en la manipulación de la redes.
Indicadores de sustentabilidad para la evaluación de fincas de banano en zonas agrícolas del cantón Babahoyo, Ecuador
Authors: Caicedo-Camposano Oscar , Balmaseda-Espinosa Carlos , Cadena-Piedrahita Dalton , Layana-Bajaña Eleonora
Published: July 2022

Este trabajo se efectuó con el objetivo de construir indicadores de sustentabilidad para la evaluación de fincas bananeras en Babahoyo, Ecuador. Para ello, se realizó un taller en la localidad de estudio, en el que participó un grupo de expertos en el cultivo de banano. La metodología es una adaptación de la propuesta del profesor Santiago Sarandón, la cual considera las tres dimensiones de la sustentabilidad; el trabajo presenta una lista de indicadores importantes y fórmulas para calcular el valor de los indicadores ambiental, económico y sociocultural, así como para obtener el índice de sustentabilidad general. Mediante el Coeficiente de Kendall y el alfa de Cronbach se obtuvo una consistencia interna satisfactoria respecto al instrumento diseñado. Se concluye que el desarrollo de indicadores, subindicadores y categorías para cada una de las dimensiones de la sustentabilidad es adecuado para detectar puntos críticos de la misma, establecer sus causas y proponer soluciones a mediano y largo plazo, la metodología involucra una actividad que es aplicable a una amplia gama de fincas en una serie de contextos, siempre y cuando, se reemplacen algunos indicadores por otros que sean relevantes para las fincas a evaluar. Además, según los métodos para medir la concordancia, el instrumento construido fue comprendido por los encuestados.
 
Palabras clave: Banano, metodología, análisis multicriterio, fincas.
Revisión sistemática de las metodologías para tomar acciones que minimizan los efectos negativos ocasionados por las máximas avenidas de los ríos
Authors: Muñoz Pérez Sócrates Pedro , Torres Torres Lucy Cassandra , Navarro Medina Jainer Luysin
Published: July 2022

El presente artículo describe las diferentes metodologías aplicadas en el análisis de eventos extremos, con la finalidad de prever cuales serían los efectos negativos ocasionados por las máximas avenidas de los ríos; asimismo se demuestra que la urbanización de áreas inundables y el crecimiento poblacional desmedido origina que los niveles de riesgo y vulnerabilidad aumenten considerablemente, enfatizando como medida preventiva primordial el control del crecimiento poblacional y fiscalización en la depredación de bosques y ríos. Con el objetivo de brindar cuatro metodologías breves que especifican los diferentes métodos empleados para el análisis de cada evento extremo. En los cuales uno de los agentes más expuestos es la población vulnerable, por ende, se busca tomar acciones para reducir estos impactos negativos.
 
Palabras clave: Inundaciones, Máximas Avenidas, Riesgo, Vulnerabilidad.
Percepción de los Estudiantes de la Carrera de Inglés acerca de Factores con Incidencia en el Desarrollo de su Fluidez Oral
Authors: Guevara-Betancourt Sandra , Flores Albuja Fernando
Published: July 2022

Existen varias consideraciones acerca del desarrollo de fluidez en la destreza oral del idioma inglés que involucran a la comunicación desde una perspectiva bilingüe, las cuales requieren de un análisis profundo en el campo de la enseñanza-aprendizaje del inglés como una lengua extranjera en Ecuador. Este trabajo determinará los factores que tienen influencia en el desarrollo de la destreza oral y la fluidez de los estudiantes de la Carrera de Inglés, quienes están en un nivel intermedio en la Universidad Técnica del Norte. Para este estudio se aplicó un enfoque cuantitativo orientado a identificar y medir los factores que tienen influencia en el desarrollo de la destreza oral del idioma inglés, y con ello entender los aspectos positivos y negativos y su influencia durante el proceso de comunicación en la lengua objeto de estudio. A fin de determinar y categorizar los factores, se aplicó la investigación descriptiva con un método inductivo. Para el efecto, estudiantes de 5to nivel de la carrera de Inglés fueron encuestados. Los resultados evidenciaron factores con influencia tales como la exposición al idioma inglés fomentado principalmente por los profesores, y el rol de la interacción dentro y fuera de las aulas. Finalmente, este estudio deja una nueva interrogante abierta acerca de la fluidez oral para realizar futuras investigaciones.
Estrategias para la gestión sostenible del turismo rural alternativo en la Ruta del Encanto del cantón de Portoviejo
Authors: Cedeño Cedeño Carlos , Loor Bravo Lucia , Ruiz Cedeño Angélica
Published: July 2022

El turismo puede influir positivamente en el desarrollo económico, social, y ambiental de una comunidad. Para que esto suceda, es necesario que las organizaciones e instituciones involucradas en esta actividad asuman una actitud responsable. A este enfoque de reciprocidad en el que el turista recibe la satisfacción de sus necesidades y deseos, y a cambio, se mejora la calidad de vida de quienes viven en el territorio receptor, su desarrollo y la preservación de los recursos para las generaciones futuras, se le conoce como turismo sostenible. En Ecuador, aunque este tema ha sido discutido durante años, los resultados deseados aún no se han logrado. El objetivo de esta investigación fue diseñar estrategias para mejorar la gestión sostenible del turismo rural alternativo en la Ruta del Encanto del cantón Portoviejo. El estudio se basó en la necesidad de conocer el potencial y las limitaciones de la gestión sostenible vinculada a la práctica del turismo rural alternativo en esta ruta. Se utilizaron métodos teóricos como el histórico-lógico, análisis - síntesis e inducción – deducción, que permitieron desarrollar un estado del arte sobre el tema y conocer la situación actual del problema. A nivel empírico se realizó un estudio bibliográfico, entrevistas con agentes del sector turístico en el área estudiada, y encuestas a clientes. En la propuesta de estrategias elaborada para la gestión del turismo rural alternativo para la ruta, se consideraron los resultados del diagnóstico realizado, desde una visión sostenible.
Procedimiento para medición y mejora de la satisfacción del cliente industrial en empresas de manufactura. Caso de una industria de calzado
Authors: Caballero Pérez Lianet , Cruz Aguilera Nolberto , Arias Araus Ernesto
Published: July 2022

El contexto organizacional actual caracterizado por el crecimiento del consumo, las exigencias del mercado y la escasez de recursos, condiciona los esfuerzos de los sistemas de producción y servicios por ofrecer al cliente el producto que necesita, en el momento, cantidad y calidad requeridos con un costo mínimo. Es por eso por lo que el logro de una gestión eficaz dirigida a la satisfacción del cliente surge como una prioridad como salida esperada de cualquier organización. Junto con esta necesidad, existen deficiencias metodológicas que dificultan la mejora de la satisfacción del cliente en las entidades productivas. En este sentido, el objetivo fue desarrollar un procedimiento para medir y mejorar la satisfacción del cliente industrial en las entidades manufactureras. La aplicación del procedimiento en la industria del calzado “Jesús Arguelles Hidalgo” contribuyó a la validación del procedimiento y proporcionó estrategias de mejora para la eliminación de las causas raíz que provocan la insatisfacción de los clientes de la entidad. El cumplimiento del objetivo fue garantizado mediante el uso de métodos y técnicas tales como: histórico lógico, árbol de la realidad y encuesta.