bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC
Authors: Collins Adam M. , Geheran Matthew P. , Hesser Tyler J. , Bak Andrew Spicer , Brodie Katherine L. , Farthing Matthew W.
Published: December 2021

Timely observations of nearshore water depths are important for a variety of coastal research and management topics, yet this information is expensive to collect using in situ survey methods. Remote methods to estimate bathymetry from imagery include using either ratios of multi-spectral reflectance bands or inversions from wave processes. Multi-spectral methods work best in waters with low turbidity, and wave-speed-based methods work best when wave breaking is minimal. In this work, we build on the wave-based inversion approaches, by exploring the use of a fully convolutional neural network (FCNN) to infer nearshore bathymetry from imagery of the sea surface and local wave statistics. We apply transfer learning to adapt a CNN originally trained on synthetic imagery generated from a Boussinesq numerical wave model to utilize tower-based imagery collected in Duck, North Carolina, at the U.S. Army Engineer Research and Development Center’s Field Research Facility. We train the model on sea-surface imagery, wave conditions, and associated surveyed bathymetry using three years of observations, including times with significant wave breaking in the surf zone. This is the first time, to the authors’ knowledge, an FCNN has been successfully applied to infer bathymetry from surf-zone sea-surface imagery. Model results from a separate one-year test period generally show good agreement with survey-derived bathymetry (0.37 m root-mean-squared error, with a max depth of 6.7 m) under diverse wave conditions with wave heights up to 3.5 m. Bathymetry results quantify nearshore bathymetric evolution including bar migration and transitions between single- and double-barred morphologies. We observe that bathymetry estimates are most accurate when time-averaged input images feature visible wave breaking and/or individual images display wave crests. An investigation of activation maps, which show neuron activity on a layer-by-layer basis, suggests that the model is responsive to visible coherent wave structures in the input images.
Compressed Sensing Imaging with Compensation of Motion Errors for MIMO Radar
Authors: Li Haoran , Li Shuangxun , Li Zhi , Dai Yongpeng , Jin Tian
Published: December 2021

Using a multiple-input-multiple-output (MIMO) radar for environment sensing is gaining more attention in unmanned ground vehicles (UGV). During the movement of the UGV, the position of MIMO array compared to the ideal imaging position will inevitably change. Although compressed sensing (CS) imaging can provide high resolution imaging results and reduce the complexity of the system, the inaccurate MIMO array elements position will lead to defocusing of imaging. In this paper, a method is proposed to realize MIMO array motion error compensation and sparse imaging simultaneously. It utilizes a block coordinate descent (BCD) method, which iteratively estimates the motion errors of the transmitting and receiving elements, as well as synchronously achieving the autofocus imaging. The method accurately estimates and compensates for the motion errors of the transmitters and receivers, rather than approximating them as phase errors in the data. The validity of the proposed method is verified by simulation and measured experiments in a smoky environment.
Point Projection Network: A Multi-View-Based Point Completion Network with Encoder-Decoder Architecture
Authors: Wu Weichao , Xie Zhong , Xu Yongyang , Zeng Ziyin , Wan Jie
Published: December 2021

Recently, unstructured 3D point clouds have been widely used in remote sensing application. However, inevitable is the appearance of an incomplete point cloud, primarily due to the angle of view and blocking limitations. Therefore, point cloud completion is an urgent problem in point cloud data applications. Most existing deep learning methods first generate rough frameworks through the global characteristics of incomplete point clouds, and then generate complete point clouds by refining the framework. However, such point clouds are undesirably biased toward average existing objects, meaning that the completion results lack local details. Thus, we propose a multi-view-based shape-preserving point completion network with an encoder–decoder architecture, termed a point projection network (PP-Net). PP-Net completes and optimizes the defective point cloud in a projection-to-shape manner in two stages. First, a new feature point extraction method is applied to the projection of a point cloud, to extract feature points in multiple directions. Second, more realistic complete point clouds with finer profiles are yielded by encoding and decoding the feature points from the first stage. Meanwhile, the projection loss in multiple directions and adversarial loss are combined to optimize the model parameters. Qualitative and quantitative experiments on the ShapeNet dataset indicate that our method achieves good results in learning-based point cloud shape completion methods in terms of chamfer distance (CD) error. Furthermore, PP-Net is robust to the deletion of multiple parts and different levels of incomplete data.
Hybrid Dense Network with Dual Attention for Hyperspectral Image Classification
Authors: Zhao Jinling , Hu Lei , Dong Yingying , Huang Linsheng
Published: December 2021

Hyperspectral images (HSIs) have been widely used in many fields of application, but it is still extremely challenging to obtain higher classification accuracy, especially when facing a smaller number of training samples in practical applications. It is very time-consuming and laborious to acquire enough labeled samples. Consequently, an efficient hybrid dense network was proposed based on a dual-attention mechanism, due to limited training samples and unsatisfactory classification accuracy. The stacked autoencoder was first used to reduce the dimensions of HSIs. A hybrid dense network framework with two feature-extraction branches was then established in order to extract abundant spectral–spatial features from HSIs, based on the 3D and 2D convolutional neural network models. In addition, spatial attention and channel attention were jointly introduced in order to achieve selective learning of features derived from HSIs. The feature maps were further refined, and more important features could be retained. To improve computational efficiency and prevent the overfitting, the batch normalization layer and the dropout layer were adopted. The Indian Pines, Pavia University, and Salinas datasets were selected to evaluate the classification performance; 5%, 1%, and 1% of classes were randomly selected as training samples, respectively. In comparison with the REF-SVM, 3D-CNN, HybridSN, SSRN, and R-HybridSN, the overall accuracy of our proposed method could still reach 96.80%, 98.28%, and 98.85%, respectively. Our results show that this method can achieve a satisfactory classification performance even in the case of fewer training samples.
A Vehicle-Borne Mobile Mapping System Based Framework for Semantic Segmentation and Modeling on Overhead Catenary System Using Deep Learning
Authors: Xu Lei , Zheng Shunyi , Na Jiaming , Yang Yuanwei , Mu Chunlin , Shi Debin
Published: December 2021

Overhead catenary system (OCS) automatic detection is of important significance for the safe operation and maintenance of electrified railways. The vehicle-borne mobile mapping system (VMMS) may significantly improve the data acquisition. This paper proposes a VMMS-based framework to realize the automatic detection and modelling of OCS. The proposed framework performed semantic segmentation, model reconstruction and geometric parameters detection based on LiDAR point cloud using VMMS. Firstly, an enhanced VMMS is designed for accurate data generation. Secondly, an automatic searching method based on a two-level stereo frame is designed to filter the irrelevant non-OCS point cloud. Then, a deep learning network based on multi-scale feature fusion and an attention mechanism (MFF_A) is trained for semantic segmentation on a catenary facility. Finally, the 3D modelling is performed based on the OCS segmentation result, and geometric parameters are then extracted. The experimental case study was conducted on a 100 km high-speed railway in Guangxi, China. The experimental results show that the proposed framework has a better accuracy of 96.37%, outperforming other state-of-art methods for segmentation. Compared with traditional manual laser measurement, the proposed framework can achieve a trustable accuracy within 10 mm for OCS geometric parameter detection.
Communication Technologies for Smart Grid: A Comprehensive Survey
Authors: Abrahamsen Fredrik Ege , Ai Yun , Cheffena Michael
Published: December 2021

With the ongoing trends in the energy sector such as vehicular electrification and renewable energy, the Smart Grid (SG) is clearly playing a more and more important role in the electric power system industry. One essential feature of the SG is the information flow over high-speed, reliable, and secure data communication networks in order to manage the complex power systems effectively and intelligently. SGs utilize bidirectional communication to function whereas traditional power grids mainly only use one-way communication. The communication requirements and suitable techniques differ depending on the specific environment and scenario. In this paper, we provide a comprehensive and up-to-date survey on the communication technologies used in the SG, including the communication requirements, physical layer technologies, network architectures, and research challenges. This survey aims to help the readers identify the potential research problems in the continued research on the topic of SG communications.
LSTM-Based Path Prediction for Effective Sensor Filtering in Sensor Registry System
Authors: Chen Haotian , Lee Sukhoon , On Byung-Won , Jeong Dongwon
Published: December 2021

The Internet of Things (IoT) is expected to provide intelligent services by receiving heterogeneous data from ambient sensors. A mobile device employs a sensor registry system (SRS) to present metadata from ambient sensors, then connects directly for meaningful data. The SRS should provide metadata for sensors that may be successfully connected. This process is location-based and is also known as sensor filtering. In reality, GPS sometimes shows the wrong position and thus leads to a failed connection. We propose a dual collaboration strategy that simultaneously collects GPS readings and predictions from historical trajectories to improve the probability of successful requests between mobile devices and ambient sensors. We also update the evaluation approach of sensor filtering in SRS by introducing a Monte Carlo-based simulation flow to measure the service provision rate. The empirical study shows that the LSTM-based path prediction can compensate for the loss of location abnormalities and is an effective sensor filtering model.
Evaluation of Ride Comfort in a Railway Passenger Car Depending on a Change of Suspension Parameters
Authors: Dižo Ján , Blatnický Miroslav , Gerlici Juraj , Leitner Bohuš , Melnik Rafał , Semenov Stanislav , Mikhailov Evgeny , Kostrzewski Mariusz
Published: December 2021

Ride comfort for passengers remains a pressing topic. The level of comfort in a vehicle can influences passengers’ preferences for a particular means of transport. The article aims to evaluate the influence of changes in suspension parameters on the ride comfort for passengers. The theoretical background includes a description of the applied method for a creating the virtual model of an investigated vehicle as well as the method of evaluating the ride comfort. The ride comfort of the vehicle is assessed based on the standard method, which involves calculating the mean comfort method, i.e., ride comfort index NMV in chosen points on a body floor. The NMV ride comfort index (Mean Comfort Standard Method) requires the input of acceleration signals in three directions. The rest of the article offers the results of simulation computations. The stiffness–damping parameters of the primary and secondary suspension systems were changed at three levels and the vehicle was run on the real track section. The ride index NMV was calculated for all three modifications of the suspension system in the chosen fifteen points of the body floor. It was found that lower values in the stiffness of the secondary suspension system lead to lower levels of ride comfort in the investigated railway passenger car; however, lower values in the stiffness–damping parameters of the primary suspension system did not decrease the levels of ride comfort as significantly.
Underlying Factors of Tourist Social Responsibility (TSR) within the COVID-19 Context: An Empirical Investigation of the Saudi Tourism Market
Authors: Kassem Ayman , Ragab Ahmad Muhammad , Alomran Abdullah , Alotaibi Eid , Ahmed Tarek AbdelAzim , Shaker Eman , Alajloni Abdallah
Published: December 2021

The current literature on social responsibility in tourism is criticized for its bias in focusing on business ethics and responsibility while neglecting the tourist perspective. This paper aims to fill this gap by exploring the underlying factors of tourist social responsibility (TSR) in response to the COVID-19 pandemic, emphasizing the Saudi tourism market. Based on the common scale development procedures, including a thorough review of the literature, identifying TSR domains and items, purifying the measurement scale, and demonstrating its reliability, a five-dimensional 24-item scale is developed. The findings reveal that TSR can be measured based on five distinct factors: (1) “Responsibility for legal and social aspects”, (2) “Responsibility for COVID-19 health issues”, (3) “Responsibility for altruism and solidarity”, (4) “Responsibility for supporting socially responsible businesses”, and (5) “Responsibility for environmental impacts”. Moreover, the results confirm the significant relationship between TSR attitude and tourists’ intention to behave socially. These findings enable policymakers to understand the TSR notion and factors influencing tourists to be more socially responsible during and after the COVID-19 pandemic to realize a more resilient and sustainable tourism sector.
Contextualizing Motivating Language to Corporate Social Responsibility (CSR): How Leader Motivating Language Affects Employees’ CSR Engagement and Employee–Organization Relationships
Authors: Zhang Yafei , Dong Chuqing , Weare Andrea M. M. , Ao Song Harris
Published: December 2021

Drawing on motivating language theory (MLT), this paper aims to demonstrate the effects of strategic leader speech in the context of internal corporate social responsibility (CSR) communication. Specifically, the study (1) examines how leader motivating language strategies used in CSR communication influence employees’ CSR engagement and employee–organization relationships (EORs) and (2) identifies the mediator explaining the underlying psychological mechanism of the effects. Structural equation modeling was performed on a sample of 406 participants who are full-time and part-time employees in the U.S. The results showed that leader motivating language was positively associated with employees’ CSR engagement and EOR quality. Such relationships were significantly mediated by person–organization (PO) fit. This study advances CSR research and practice by explicating the impact of leaders’ oral communication in constructing employees’ CSR experiences and relationships with the employer.
A Comprehensive Exploration on Pollution Characteristics and Ecological Risks of Heavy Metals in Surface Paddy Soils around a Large Copper Smelter, Southeast China
Authors: Wang Xiyang , Li Liang , Guo Naijia , Xin Zaijun , Li Xiaohui , Sun Xiaoyan , Li Ya
Published: December 2021

To assess heavy metal pollution and ecological risk, a total of 28 surface paddy soil samples were collected and analyzed around a famous copper smelter in Guixi, China. The results showed that all sites were heavily contaminated by both Cu and Cd, compared with soil background values, whose average concentrations exceeded the standard by 5.7 and 12.3 times, respectively, posing a slight ecological risk related to Cu (potential ecological risk index <40) and an extremely serious ecological risk related to Cd (potential ecological risk index >320). The risks were also demonstrated through the speciation analyses of Cu (CaCl2-Cu 2.63%, acid-soluble Cu 8.67%, and residual Cu 74.17%, on average) and Cd (CaCl2-Cd 47.30%, acid-soluble Cd 45.02%, and residual Cd 28.87%, on average) in the surface paddy soil, including the use of a CaCl2 extraction procedure and the BCR (Community Bureau of Reference) sequential extraction scheme. Several soil properties (residual carbon, cation exchange capacity, and soil texture) were significantly correlated with soil Cd but made a small contribution to their variability with a poor linear fit because of external Cd input to the soil, while soil total potassium largely influenced the soil Cu species except for residual Cu. Therefore, an effective Cu pollution regulation strategy through soil potassium control is suggested for this smelter soil.
How Does Travel Demand Follow the Change in Infrastructure? Multiple-Year Eigenvector Centrality Analysis
Authors: Ando Hiroe , Kurauchi Fumitaka
Published: December 2021

The road network is one of the most permanent elements of the physical structure of cities, and the long-term impacts should be considered for effective and efficient road network improvement. It is therefore important to catch up on how the road will be used after construction. However, we do not have much knowledge on the pattern and time lag in the change process of travel demand and supply in the real situation. To explore such changes, this study proposes to evaluate a network with eigenvector centrality (EC) measures that can evaluate the importance of nodes in a network. We believe the analysis based on topological properties by the graph theory is suitable to verify the evolution of road networks. This study analysed long-term changes over 20 years in an actual city to understand the impact of road network improvements. The EC analysis with the weights of traffic indices obtained from survey data evaluates the connectivity of road services on the supply side, and traffic concentration on the demand side.
Developing a Comprehensive Assessment Model of Social Value with Respect to Heritage Value for Sustainable Heritage Management
Authors: Xu Yabing , Rollo John , Esteban Yolanda , Tong Hui , Yin Xin
Published: December 2021

By the end of the 20th century, the influence of economic globalization had impacted many aspects of society, including in particular cultural heritage. Additionally, economic globalization has brought a ‘compression’ of the cultures of different ethnic groups and regions around the world. Due to the loss of cultural confidence and economic benefits, many historical areas with cultural and social significance are no longer protected and valued. If this deficit is to be addressed, then the evaluation of heritage value is an important step in establishing effective conservation policies. China’s Grand Canal is a case in point. The loss of historical culture in the past 30 years, often due to the increasing numbers of both large and small developments, has given rise to the forfeit and distortion of many historically significant areas of China’s Grand Canal towns and cities. This research proposes a qualitative and quantitative methodology to develop a comprehensive assessment model of social value with respect to heritage value. The methodology selected conceptual framework, and questionnaire surveys as major approaches to the development of the research and is applied to the Grand Canal towns of Nanyang, Wuzhen, Tongli and Nanxun. The conceptual framework is used to establish the indicators and hypotheses for the evaluation of social value in order to develop a comprehensive assessment model for sustainable heritage management.
The Gendered Nature of the Risk Factors of the COVID-19 Pandemic and Gender Equality: A Literature Review from a Vulnerability Perspective
Authors: Siriwardhane Pavithra , Khan Tehmina
Published: December 2021

The risk factors of COVID-19 are not gender-neutral but gendered. A vulnerability approach to pandemics suggests that females are more prone to risk exposure while there are inequalities in accessing resources and opportunities. These inequalities create a gendered pandemic vulnerability. The current article addresses the specific vulnerability on the gendered risk factors encountered by girls and women due to the gendered pandemic in a global context and their impacts on gender inequality. This study analyses the existing literature on the gendered pandemic and risk factors on females that lead to gender inequality during the COVID-19 pandemic. Thus, this study adopts a vulnerability approach to the pandemic as an analytical concept. Our findings from the systematic literature review suggest that women’s pre-existing vulnerabilities are exacerbated in the wake of the pandemic due to the gendered risk factors worsening the gender equality gap. We conclude by arguing that our study’s finding supports a vulnerability approach to disasters.
An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer
Authors: Riaz Muhammad , Hanif Aamir , Masood Haris , Khan Muhammad Attique , Afaq Kamran , Kang Byeong-Gwon , Nam Yunyoung
Published: December 2021

A solution to reduce the emission and generation cost of conventional fossil-fuel-based power generators is to integrate renewable energy sources into the electrical power system. This paper outlines an efficient hybrid particle swarm gray wolf optimizer (HPS-GWO)-based optimal power flow solution for a system combining solar photovoltaic (SPV) and wind energy (WE) sources with conventional fuel-based thermal generators (TGs). The output power of SPV and WE sources was forecasted using lognormal and Weibull probability density functions (PDFs), respectively. The two conventional fossil-fuel-based TGs are replaced with WE and SPV sources in the existing IEEE-30 bus system, and total generation cost, emission and power losses are considered the three main objective functions for optimization of the optimal power flow problem in each scenario. A carbon tax is imposed on the emission from fossil-fuel-based TGs, which results in a reduction in the emission from TGs. The results were verified on the modified test system that consists of SPV and WE sources. The simulation results confirm the validity and effectiveness of the suggested model and proposed hybrid optimizer. The results confirm the exploitation and exploration capability of the HPS-GWO algorithm. The results achieved from the modified system demonstrate that the use of SPV and WE sources in combination with fossil-fuel-based TGs reduces the total system generation cost and greenhouse emissions of the entire power system.
25 years of Scientific and Educational Cooperation between the Department of Natural Sciences at New Bulgarian University and the Space Research and Technology Institute at the Bulgarian Academy of Sciences
Authors: Mardirossian Garo , Berberova Ralitza
Published: December 2021

The paper presents the results of the scientific and educational cooperation in the field of earth sciences and ecology between the Department of Natural Sciences at New Bulgarian University (NBU) and the Space Research and Technology Institute at the Bulgarian Academy of Sciences (SRTI-BAS) for the period 1996-2021.
DEISM AS A DEFINITIVE PRINCIPLE FOR THE FORMATION OF THE PHILOSOPHY HISTORY OF WOLTER’S
Authors: Kolodii O. , Sheiko S.
Published: December 2021

Voltaire’s creativity ismultifaceted, covering the problems of philosophical knowledge, the assertion of a deistic worldview, the implementation of the principles of human free will, a comprehensive critique of religion and the church, the beginning of the political concept of “educated absolutism.” The thinker became one of the greatest authorities of the French Enlightenment, being highly gifted, universally educated, owning the principles of critical thinking. The aimof this article is to determine the basic principles of the philosophical principle of deism in Voltaire’s creativity and its influence on the formation of the philosophical-historical concept. The tasks of this article are perform an analysis the formation of the deistic worldview of the French thinker, the influences of the philosophy of sensualism and rationalism on the formation of the general foundations of social philosophy of the enlightener. Research methods are principles of unity of historical and logical, dialectical unity of analysis and synthesis, convergence from abstract to concrete, principles of objectivity and systematization. Research results: philosophical worldview of the XVII ‒ early XVIII centuries. had a one-sided character: on the one hand ‒ the philosophy of empiricism, based on knowledge of scientific facts using experimental methods of scientific research, and on the other ‒ rationalist philosophy, which took as primary the original theoretical generalizations. The integral system of philosophical knowledge in the first half of the eighteenth century was absent. Conclusion. The deistic foundations of Voltaire’s philosophical worldview determine not only the ontological and epistemological aspects, but undoubtedly forming the general principles of his philosophy of history, which have an abstract, mostly narrative character. However, the possibilities of a deistic worldview direct the thinker to search for an objective pattern of development of historical knowledge. They usually have a general theoretical value, as well as their practical implementation
Siseo y acecho. Vida del (ante)último aliento en mirlitonnades
Authors: Diez Francisco
Published: December 2021

En el proceso de contracción que signa la literatura de Beckett, mirlitonnades, elaborado entre 1976 y 1978, constituye un punto especialmente álgido. A pesar de la brevedad del conjunto y de sus unidades, el poemario se encuentra atravesado de un complejo de tensiones incapaces de resolverse por vía sintética. Concentradas en desplegar sus meollos paradojales, las páginas de este trabajo interrogan una serie de piezas de mirlitonnades en torno a tres ejes que han permeado, asimismo, otras zonas de la obra del irlandés –la ensayística, la prosa de ficción breve. En primer lugar, se relevan los procedimientos empleados por un lenguaje que quiere asimilarse al silencio; luego, el modo en que la voz poética delinea una vida que linda con su fin; por último, el campo de temporalidades que abre el poemario, entreverado de tres modalidades temporales heterogéneas y en lucha entre sí –el tiempo muerto, el tiempo como resto, el tiempo como flujo y reflujo. Analizar las tres conflictivas instancias ligadas entre sí implicará, pues, toparse con el impedimento de establecer un nítido discernimiento entre lenguaje y silencio, vida y muerte, aunque, a la vez, nunca terminen de confundirse.
Plagiarsm Checker pada Sistem Manajemen Data Tugas Akhir
Authors: Swari Made Hanindia Prami , Putra Chrystia Aji , Handika I Putu Susila
Published: December 2021

Plagiarisme merupakan isu yang santer berkembang khususnya di Perguruan Tinggi. Perpustakaan di Fasilkom UPN “Veteran” Jawa Timur telah memiliki sistem pencatatan skripsi mahasiswa yang bernama E-Read, seringkali mahasiswa yang akan menempuh skripsi akan mencari ide topik dan literatur pada perpustakaan. Untuk meminimalkan kemungkinan terjadinya plagiasi maka sistem E-Read dilengkapi dengan fitur plagiarsm checker yang dibangun pada penelitian ini. Plagiarsm Checker dibuat melalui tahapan pengembangan terstruktur menggunakan metode Waterfall yang terdiri dari analisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Algoritma Jaro Winkler dipilih untuk mendeteksi similaritas dokumen abstrak calon skripsi dengan abstrak-abstrak yang telah tersimpan pada basis data E-Read karena berdasarkan penelitian terdahulu dinyatakan memiliki akurasi yang baik dan waktu komputasi yang cepat. Berdasarkan pengujian terhadap akurasi sistem, maka didapatkan plagiarsm checker yang dibangun memiliki akurasi 40% jika dibandingkan dengan pendapat ahli, nilai presisi 33,3%, recall 100%, dan F-Measure 35%. Selain itu berdasarkan analisis terhadap proses komputasi algoritma Jaro Winkler maka didapatkan bahwa algoritma ini berfokus pada pencarian kesamaan karakter sesuai range uji yang ditentukan, hal ini berarti bahwa algoritma ini belum memiliki mekanisme pengecekan makna kata yang seharusnya diperlukan dalam sistem pengecekan plagiasi  dokumen.  Melalui penelitian ini, mahasiswa dapat melakukan pengecekan awal abstrak dari calon skripsinya untuk meminimalkan terjadinya plagiasi.
homenaje a los “mártires de junio”
Authors: Ehrlich Laura
Published: December 2021

El artículo recorre algunos momentos clave de la historia de la conmemoración de los “mártires de junio”, durante la etapa de proscripción del peronismo. Se reconstruyen, primeramente, la coyuntura de la denuncia de los fusilamientos de 1956 y la gestación de los primeros homenajes en memoria de los fusilados, al cumplirse el primer aniversario del acontecimiento. En el texto se argumenta que este homenaje contribuyó a la elaboración de un martirologio peronista, el cual, nutrido a la vez de la evocación de Eva Perón y de la de otros “mártires” de la causa de los proscriptos, devino un elemento característico de su constelación conmemorativa, y tiñó de un halo trágico y vindicativo a la vez, la autorrepresentación que los peronistas se hicieron de sí mismos. Para comprender este proceso, se propone, en segundo lugar, que durante el período estudiado tuvo lugar un proceso de “democratización” del martirio, a través del cual el homenaje que originalmente evocaba a los militares fusilados en junio de 1956, y exaltaba especialmente la figura del general Juan J. Valle, se extendió al conjunto de las víctimas peronistas de persecución, cárcel y exilio, multiplicadas durante la década del 60.
Mártires, héroes y víctimas: estética y política en las imágenes de Santiago Maldonado
Authors: Mazzuchini Santiago
Published: December 2021

Este articulo propone un recorrido y una reflexión teórico-política sobre la iconografía construida alrededor de Santiago Maldonado, con el objetivo de indagar sobre los modos en que la figura del mártir-heroico y el desaparecido perviven y coexisten en diferentes imágenes de protesta. Diversos colectivos de arte político y fotoperiodismo realizaron una amplia variedad de intervenciones visuales para reclamar por la aparición y el posterior esclarecimiento de la muerte de Maldonado, asociando dicha figura con una serie de víctimas asesinadas o desaparecidas por parte del Estado y sus fuerzas de seguridad.  Este intento de vincular el caso con una serie previa da cuenta de una estrategia de politización que lo transforma en un problema público, haciendo que la víctima deje de ser anónima (Gayol y Kessler, 2018).  Las estrategias visuales destinadas a politizar e intentar instalar el caso en la agenda mediática dejaron como saldo nuevas imágenes que permiten repensar los modos en que el cuerpo de la víctima deviene en un agente activo de protesta. Por otra parte, las acciones visuales se inscriben en una extensa iconografía política ligada a la desaparición y la muerte, donde rostros y siluetas son figuras tradicionales de nuestra imaginación estético-política.
Reseña: L. G. Caruso y G. N. Contreras. 100 años del Centro de Capitanes de Ultramar y Oficiales de la Marina Mercante, 1918 – 2018. Imágenes que recorren un siglo. Buenos Aires: Centro de Capitanes de Ultramar y Oficiales de la Marina Mercante, 2019
Authors: Laufer Rodolfo
Published: December 2021

El reciente libro de Laura Caruso y Gustavo Contreras es ciertamente un producto atípico dentro del campo de la historia de los trabajadores y sus organizaciones en la Argentina. Nacido de un acuerdo institucional entre el Centro de Capitanes de Ultramar y Oficiales de la Marina Mercante (CCUOMM) y el Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), se trata de una obra de carácter conmemorativo e histórico, que, a lo largo de 160 páginas, con textos breves, numerosas imágenes y un cuidado diseño, narra el devenir centenario de dicho gremio al compás de los avatares de la rama marítima, el movimiento obrero argentino y la historia nacional.
Los libros de lectura y ¿”una”? Argentina para los niños de mediados del siglo XX. Entre el alma tutelar y la ruta gloriosa
Authors: Girbal-Blacha Noemí
Published: December 2021

Este estudio histórico aborda la relación entre poder y cultura vinculada a la educación de nivel primario durante la década de 1950, en la Argentina que cuestiona el sistema republicano. La enseñanza dirigida a los niños es importante. Los libros de lectura utilizados en este primer ciclo escolar, resultan instrumentos de alfabetización y formación de la identidad nacional y ciudadana. Aproximarse a esas herramientas educativas mediante dos estudios de caso: “El Alma Tutelar” y “Ruta Gloriosa”, orienta el análisis crítico de estas fuentes primarias, para describir e interpretar la influencia ejercida sobre estos alumnos en tiempos políticos diversos y conflictivos.
El teletrabajo como mitigador de los impactos económicos de la pandemia de COVID-19 en Argentina
Authors:   , De La Vega Pablo
Published: December 2021

En esta tesis se mide el rol de la modalidad de teletrabajo como mitigador de los impactos de un shock como la pandemia de COVID-19 en el mercado laboral argentino utilizando la estructura de paneles rotativos de la Encuesta Permanente de Hogares (EPH). Dado que no se cuenta con información sobre la composición de tareas de las ocupaciones para Argentina, se estima el potencial de teletrabajo en base a tres encuestas diferentes: O*NET, PIAAC, y STEP, para luego extrapolarlo a la Clasificación Nacional de Ocupaciones (CNO). De este modo es posible analizar cómo la viabilidad del teletrabajo se relaciona con los resultados del mercado laboral a nivel individual. Se encuentra que, durante el pico de las restricciones frente a la pandemia, el potencial de teletrabajo está positivamente correlacionado con la probabilidad de estar activo y con la probabilidad de estar ocupado. Estos efectos se concentran en la submuestra de trabajadores “no esenciales”. Por el contrario, no se encuentran efectos sistemáticos del teletrabajo potencial en las transiciones de empleo entre 2017 y 2018 y entre 2018 y 2019. Sirviendo como experimento placebo, esto representa evidencia adicional que brinda sustento a la estrategia de identificación.
Stan wyjątkowy w ujęciu monistycznym: trzy propozycje teoretyczne i ich realizacja na przykładzie polskich unormowań stanów nadzwyczajnych
Authors: Engelking Wojciech
Published: December 2021

Tekst stanowi próbę pomyślenia instytucji stanu wyjątkowego w ramach logiki monistycznej, która by nie naruszała podstaw demokracji liberalnej: jako instrumentu prawnego do zwalczenia zagrożenia, przed którym stoi państwo, przy użyciu narzędzi z porządku norm sprzed wystąpienia sytuacji ekstraordynaryjnej. Autor analizuje trzy możliwości takiej logiki, wywodząc ją z koncepcji m. in. libertarianizmu Roberta Nozicka, instytucjonalizmu Nomi Claire Lazar czy liberalnego realizmu Jeremy’ego Waldrona i aplikując do zapisów Konstytucji RP z 1997 r.
The State, Democracy, and Class Rule: Remarks on the Hoppean Approach
Authors: Slenzok Norbert
Published: December 2021

The subject-matter of the paper is the theory of class struggle proposed by Hans-Hermann Hoppe, one of the leading representatives of libertarian political philosophy in the radical tradition of Murray N. Rothbard. The author reconstructs and critically comments on the theory at hand. The author's remarks focus on the ethical and methodological background of Hoppe's approach, the main question being whether the latter theory is consonant with the thinker's positions on ethics and methodology, as well as with his political standpoint. The author argues that not only does class analysis not contradict other core beliefs of Hoppe but it also represents an indispensable element of his libertarian philosophy. There is, however, a significant tension between the class approach and Hoppe's secondary philosophical position – his historical idealism. The article is concluded by indicating some further issues in the Hoppean theory of class that, in the author's opinion, should be subject to future inquiry.
Z dala od frontu. Wielka wojna ojczyźniana w edukacji historycznej poradzieckich republik Azji Centralnej (casus Kazachstanu, Kirgistanu i Uzbekistanu)
Authors: Kuryłowicz Michał
Published: December 2021

This article contains a comparative analysis of the narratives concerning the Great Patriotic War that can be found in textbooks in the post-Soviet republics of Central Asia. The aim of the study is to show the similarities and differences between these narratives and to reveal to what degree the picture of the conflict that was shaped during the Soviet period has been revised. At the same time, the aim is to juxtapose the contents of Central Asian textbooks with the narrative present in the Russian history education system. The analysis aims not only to identify discrepancies, but also to identify the reasons for the existing state of affairs and relate them to the politics of memory pursued in individual countries.
PENGARUH KINERJA KEUANGAN, PERTUMBUHAN PENJUALAN DAN INTENSITAS ASET TETAP TERHADAP TAX AVOIDANCE DENGAN PROPORSI KOMISARIS INDEPENDEN SEBAGAI VARIABEL MODERASI
Authors: Supriyanto Raden
Published: December 2021

Tujuan penelitian ini adalah untuk menganalisis pengaruh kinerja keuangan yang terdiri dari profitabilitas dengan proksi Return on Asset (ROA), solvabilitas dengan proksi Long Term Debt to Equity Ratio (LTD), aktivitas dengan proksi Total Assets Turnover (TAT), pertumbuhan penjualan (Sales Growth-GRW) dan intensitas aset tetap (IAT) terhadap Tax Avoidanve (Effective Tax Rate) dengan proporsi komisaris independen (KIN) sebagai variabel moderasi. Metode pengambilan sampel yang digunakan yaitu purposive sampling, dengan 29 perusahaan terpilih sebagai objek penelitian. Metode analisis yang digunakan adalah analisis regresi data panel. Berdasarkan hasil uji pemilihan model, model Fixed Effect yang terpilih. Hasil penelitian ini yaitu secara parsial variabel TAT, GRW) dan IAT berpengaruh terhadap ETR, sedangkan variabel LTD, ROA, dan KIN tidak berpengaruh terhadap ETR. Secara simultan variabel ROA, LTD, TAT, GRW, IAT, dan KIN berpengaruh terhadap ETR. Secara simultan penambahan variable dummy COV (Covid-19) tidak berpengaruh signifikan terhadap ETR, dengan kata lain tidak ada perbedaan yang signifikan antara praktik penghindaran pajak (ETR) sebelum pandemi dengan selama pandemi Covid-19. Secara simultan variabel KIN memperlemah pengaruh ROA, LTD, TAT, GRW dan, IAT terhadap ETR.
STUDI ETNOGRAFI BUDAYA PUBLIC RELATIONS RUANG BEKA DALAM MENGEDUKASI ANTIBULLYING MELALUI MEDIA INSTAGRAM
Authors: Rosdiani Khairunnisa , Safitri Dini
Published: December 2021

Kasus bullying yang terus meningkat di Indonesia sehingga banyak akun media sosial yang menciptakan ruang untuk bercerita untuk para korban bullying salah satunya akun instagram ruang beka. Penelitian ini dibuat dengan tujuan mengetahui bagaimana studi enografi budaya public relations ruang beka dalam mengedukasi antibullying melalui media instagra. Penelitian ini menggunakan metode etnografi dan pendekatan kualitatif dengan pengumpulan data melalui wawancara dan observasi melalui akun insgram ruang beka. Penelitian ini memiliki hasil yaitu public relations ruang beka memiliki runtutan kegiatan seperti riset analisis, mengkaji hasil riset, dan membuat konten yang di sebarkan di akun media sosial instagram yang sesuai dengan kajian teoritis dari model IPPAR dengan maksud untuk membentuk budaya antibullying melalui instagram..
MAKNA UCAPAN KEBENCIAN ZIKRIA DZATIL KEPADA WALIKOTA SURABAYA TRI RISMAHARINI (STUDI ANALISIS FRAMING MEDIA ONLINE SUARASURABAYA.NET DI SURABAYA)
Authors: Anggraini Dyah , Pitoyo
Published: December 2021

Perkembangan informasi dan teknologi pada kehidupan dunia maya telah menghapus batasan-batasan bagi manusia untuk berinteraksi dan bersosialisasi. Salah satu contoh perkembangan TIK adalah penggunaan media sosial. Media sosial dapat memberikan manfaat yang positif. Sebagai contoh, penggunaan media sosial sebagai media pemasaran, perdagangan, mencari koneksi, memperluas pertemanan dan masih banyak contoh positif lainnya. Disisi lain, penggunaan media sosial dapat memberikan dampak negatif jika dipergunakan dengan tidak bijaksana. Salah satu contoh penggunaan media massa yang tidak bijaksana adalah ujaran kebencian yang diunggah oleh seorang ibu rumah tangga yang bernama Zikria Dzatil pada laman akun Facebooknya. Zikria mengungah hinaan kepada Waikota Surabaya Tri Rismaharini. Unggahan ini diberitakan oleh banyak media massa online dan offline. Salah satu media yang memberitakan kasus ini adalah media massa online www.suarasurabaya.net. Metode yang dipergunakan dalam penelitian ini adalah metode kualitatif. Terdapat 23 berita yang terkait dengan ujaran kebencian Zikria yang diunggah oleh media suarasurabaya.net. Pemberitaan pertama diunggah pada Jum’at 24 Januari 2020 hingga dibebaskannya Zikria dari penahanan pada Senin 17 Februari 2020. Kata kunci yang sering muncul adalah kata kunci “Penghina” sebanyak 12 berita dan diikuti dengan kata kunci “Zikria Dzatil” sebanyak 9 berita. Media massa online ini lebih menekankan bagaimana pembingkaian berita dengan menggunakan kata penghina dalam kasus Zikria agar khalayak tertarik untuk membaca berita ini. Analisis data yang digunakan dalam penelitian ini menggunakan model framing Robert Entman yang terbagi dalam empat tahapan. Pada elemen pertama yaitu problem identification, menekankan bagaimana harian online suarasurabaya.net memaknai peristiwa yang terjadi. Pemaknaan ini berbeda untuk setiap wartawan. Pada elemen yang kedua, yaitu Diagnose causes digunakan untuk membingkai Zikria Dzatil yang dianggap aktor / sumber permasalahan dari peristiwa penghinaan ini. Pada elemen moral evaluation, wartawan suarasurabaya.net membenarkan pemberitaan yang mereka unggah pada halaman beritanya. Pada elemen yang terakhir yaitu treatment recommendation digunakan untuk menilai apa yang dikehendaki oleh suarasurabaya.net. Suarasurabaya.net menekankan kata penghina dalam kasus ini yang menggiring khalayak bahwa Zikria adalah penghina Walikota Surabaya dan langkah hukum harus diambil. Berdasarkan beberapa contoh yang diberikan dalam penelitian ini belum terdapat kesamaan hukum akan ujaran kebencian melalui media sisoal. Penelitian ini juga menunjukkan jika kasus sejenis terjadi dan tidak tertangkap serta dibesar-besarkan oleh media maka tidak banyak masyarakat yang tahu sehingga tidak terekspos dan berujung pada pelaporan dan penangkapan.
An exploration of the factors that impact on clinical practices of Nurses in applying evidence-based practice
Authors: Shifaza Fathimath , Hamiduzzaman Mohammad
Published: December 2021

While healthcare institutions around the world strive to adopt evidence-based practice (EBP) as the new standard in best practice, the nursing profession still faces multiple barriers and limitations in implementation. The aim of this paper is to present the analysis of EBP from the perspective of nurses working within two major South Australian hospitals, assessing their implementation and beliefs and exploring avenues for further research-based upon their feedback. A descriptive survey using the EBP beliefs (EBP-b) and the EBP implementation (EBP-I) scales were developed by Melnyk and Fineout-Overholt. Nurses scored high in the EBP belief scale reflecting significant positive readiness towards EBP. A positive correlation was observed between EBP beliefs and implementation, yet implementation rates were very low. More research is needed to explore the reasons why implementation rates are so low amongst practising nurses to understand and address the root of this problem. Based on the evidence it appears that more research is needed to explore the reasons why implementation rates are so low amongst practising nurses to understand and address the root of this problem.
The Occupational Health Nursing Education Components Most Influenced by Informatics Technology Based on Gamification and Fogg's Models: a Case Study in Indonesia
Authors: Tukayo Isak Jurun Hans , Saljan Mohammad , Swastika I Ketut , Hardy Syaifoel
Published: December 2021

The rapid development of informatics technology (IT) in healthcare in the digital era has not been in line with the development of industrial nursing informatics education in Indonesia. The discrepancy is disturbing the operational activities of nursing clinicians who stand between the need of client, business, and the quality of services. The objective is to explore the benefit to the largest components of education that have changed due to IT interventions. This research used the Case Study method. The instrument was a case management version of the American Board of Occupational Health Nursing (ABOHN). The purposive sampling population was 350 nurses and nursing students who filled a questionnaire based on the Likert Scale, focused on the influence of IT on OHN education. The supporting data was from 15 major campuses in Indonesia that have nursing majors and IT departments, also from ABOHN and other OHN international bodies. The data was processed by the Statistical Package for Social Sciences (SPSS) 25 version, in the table of Pearson Correlation. Gamification and Fogg's Behavior models were used to identify the influence of IT on OHN education. The data analysis showed a significant impact of IT on OHN education with a value of 0.782. The Influence of IT towards OHN learning materials based on Gamification and Fogg’s Models also showed of 9 OHN competency categories (100%), indicating the need for IT support was absolute. Case management result projected that the application of Gamification with Fogg's model with the application of IT on the OHN education proved the magnitude influence of IT on 8 components, i.e.: teaching methods, learning materials, learning methods, students’ learning interests, campus facilities, lecturer’s competencies, campus management, and the education curriculum. The IT intervention will simplify the OHN education system, provide more effective, and efficient OH nursing practice in the workplace.
Tumor de Células Granulares de esófago
Authors: Vásquez-Bonilla Walter , Guerra Luis , Medina Pebbles , Argueta Víctor , Orozco Roberto
Published: December 2021

El tumor de células granulares del esófago es una neoplasia de tejidos blandos infrecuente. Se origina de las células de Schwann y su diagnóstico es histopatológico.  Ocurre con más frecuencia en la piel, lengua, tejido subcutáneo y el músculo esquelético. Su localización en el tracto digestivo es poco frecuente, siendo el esófago el sitio más frecuentemente afectado. Se presenta después de la cuarta década de la vida, generalmente es benigno, asintomático, con masas menores a los 2 cm. Presentamos el caso de una paciente de 23 años de edad, sin antecedentes, con historia de masa de +/- 5 cm en cuello, a nivel de esófago, de 3 años de evolución.
Mucormicosis post-COVID-19
Authors: Mogollón-Gil Blandina , Díaz-Carbajal Daniela , Echeverría José , Cotí Mary
Published: December 2021

La mucormicosis es una micosis oportunista y poco frecuente, producida por hongos Zygomicetos del orden Mucorales, asociada con inmunosupresión y de curso agresivo. Puede dividirse en varios tipos, rinocerebral, cutánea y pulmonar. Generalmente, se adquiere por vía respiratoria. La mucormicosis se caracteriza por infarto y necrosis de tejidos del huésped. Se puede describir como “hongo negro, porque los tejidos infectados se tornan negros. La tasa de letalidad se estima en 40-80%.