bluuebunny/crossref_metadata_2025 huggingface dataset:
CFD SIMULATION OF A COUGHING DROPLET DIFFUSION IN THE ACCELERATING-MOTION METRO CABIN
Authors: Liu F. , Peng G.
Published: June 2022

Abstract. The metro cabin provides an effective way for the spread of the pneumonia virus when provides convenience to human beings. The cabin undergoes a series of motions of acceleration speed, uniform speed, and deceleration speed during the one-station travelling process. The induced flow of the accelerated moving cabin is the determinant of the air drag force on the cough droplets, and effect on the time-frequency characteristics and motion trajectories of droplets of different sizes. In this study, we established a momentum equation on droplets, affected by the inertial force correction term in the non-inertial frame. Then added the drag force from the velocity difference between the cough droplets and the background airflow, and simulated configurations as: 1) droplet spreading aerodynamic process from different face orientations of infected dummy, 2) six groups of size particles, and 3) variable speed motion phases. The numerical simulation provides a physical analysis idea for studying the relationship between the two-phase flow under the action of inertial force. This design of a ventilation environment in public transportation helps to reach a more profound understanding of the inertial precipitation mechanism of droplet jets.
EXPLORING QUANTUM COMPUTING POTENTIALS IN SOLVING A COMBINATORIAL OPTIMIZATION PROBLEM TO MINIMIZE EXPOSURE TO COVID-19 DURING A CITY JOURNEY
Authors: Nourbakhsh A. , Jadidi M. , Shahriari K.
Published: June 2022

Abstract. COVID-19 is an airborne virus that can be spread directly or indirectly from one person to another. Spreading the virus strongly depends on the location and time and hence, a Spatio-temporal event. Moreover, traffic congestion will increase the spread of the virus not only because of the vicinity but also because of increased temperature and humidity in these spaces for a short or long time. This paper introduces a vehicle routing optimization model to reduce COVID-19 exposure risk during a city journey by solving it as a quadratic unconstrained binary optimization problem on a quantum annealing computer. Indeed, the objective of the COVID-19 prevention optimization problem is to minimize the risk of exposure for a given set of road users between origins and destinations. Microsoft Taxi data from the city of Beijing have been used to simulate road users’ movement. The problem has been run onto three different solvers. One of the solvers is executed on classical computers, and two other solvers are executed on hybrid quantum solvers. Hybrid solvers return the solution within less than 0.03 seconds on quantum processing unit time. However, the results will be returned at least 5 seconds after the execution in the classical solver. It is worth mentioning that, as there is no direct access to the quantum computers, it is hard to compare the results on the same scale as the queries will go on a queue in D-wave quantum computers. Applying the proposed model on the trajectory data shows a better distribution of the vehicles on the road network.
UTILISING VIIRS DNB NIGHTTIME LIGHT DATA TOGETHER WITH LANDSAT DAYTIME DATA TO ASSESS CHANGES IN LIGHT POLLUTION IN ETHEKWINI METROPOLITAN MUNICIPALITY (EMM)
Authors: Adelabu S. , Mncube Z. , Adagbasa E.
Published: June 2022

Abstract. Night-time light (NTL) data has become widely used in different studies, including urbanization and light pollution subjects. Some sources of NTL data have made the data freely available on online platforms, making it easy to study subjects that relate to the use of artificial light at night. African countries have not published much on the use of NTL data. Still, there has been a development in different countries in the continent, such as economic growth and the provision of new and improved infrastructure. These developments can be considered primary contributors to the increase in light pollution worldwide. This study aimed at using NTL data together with familiar daytime data to assess how light pollution has been changing in eThekwini Metropolitan Municipality and again assess the changes in the sources of light pollution through the assessment of Land-use Land-cover (LULC) change of the study area. NTL images were reclassified into five different classes of light pollution using the reclassification tool in ArcMap 10.7. Supervised classification was performed to assess the changes in LULC. The confusion/error matrix was done to verify the accuracy of these classifications. These showed that light pollution is increasing in eThekwini Metropolitan Municipality, with the increased built-up area also being witnessed. NTL data is becoming useful worldwide, and it is highly recommended for African countries also to do research using this data in their studies.
THE IMAGE OF THE CITY INTERPRETED THROUGH BIOSENSORS PATH ANALYSIS AND IDENTIFICATION OF PERCEPTUAL POLES IN THE NARNI CASE STUDY
Authors: Bianconi F. , Filippucci M. , Seccaroni M.
Published: June 2022

Abstract. The research aims to interpret the image of the city, according to the conventions defined by Kevin Lynch, obtained from the analysis of the impact of environmental stimuli on the person. The study relates the digital reconstruction of the spaces analysed with the detection of the trend of valence obtained on a statistical sample using an EEG helmet. The monitoring of the degree of attraction or aversion to the stimuli of the surrounding environment is processed through algorithmic procedures to identify along a path the perceptual poles. This path, reported in GIS environment, allows to reconstruct georeferenced maps that interpret the brain data, synchronized with GNSS. The spatial poles thus identified are further investigated using eye-tracker to understand the reasons for the impact of the environment on humans.
3D CITY MODELS AS A 3D CADASTRAL LAYER: THE CASE OF TKGM MODEL
Authors: Dursun İ. , Aslan M. , Cankurt İ. , Yıldırım C. , Ayyıldız E.
Published: June 2022

Abstract. Optimal land administration systems; It aims to record data in a comprehensive, sustainable and accessible way, although it includes individual/public rights and restrictions in 3 dimensions (3D) as well as in 2 dimensions (2D) of the land. The systems developed within the scope of the objectives will provide a basis for planning activities in a broad sense, and will enable public institutions and organizations to use the land effectively and to provide services. Modern land administration systems; In addition to the 2nd Dimension of the land, it is expected to record and secure the individual/public rights and restrictions in the 3rd Dimension in a continuous, accessible, and comprehensive manner to provide a basis for planning activities in a broad sense and to support the taxation activities of the public.On the other hand, with the new system designed, in addition to the own data of the institutions, interoperability will be ensured with the data produced or recorded by other institutions. This situation enables the creation of a Model that includes 3D data and geospatial data from different sources created by institutions, with the effect of developing technology.In this study, The General Directorate of Land Registry and Cadastre (TKGM) carried out the interoperability of the data in Amasya district combining them under a single roof and creating a model, together with all the above-mentioned data sets, depending on the new requirements based on developing technologies. Within the scope of TKGM Model, 3D photogrammetric models, 3D modelled indoor data from physical architectural projects and other attributes of land administration were used.
UNCOVERING SPATIAL SYNERGY OF THE MEGACITY REGION: A FLOW PERSPECTIVE
Authors: Fang B. , Tu W. , Li M. , Cao J. , Gao W. , Yue Y. , Li Q.
Published: June 2022

Abstract. The Pearl River Delta (the PRD) is a strategic region for China’s development. Since the Reform and Opening up of China in 1983, the PRD has been growing from several isolated cities to one megacity region. Uncovering spatial characteristics is essential for the megacity region synergy, regional planning, and governance. Massive mobile phone location data contains hidden information of complex spatial networks. From the flow perspective, this study thereafter constructs a large-scale mobility network using long-period mobile phone location data. The Louvain method is adopted to detect spatial communities, which reveals the spatial cooperation within the detected area. The disparity filter is used to extract the backbone network, which unravels the geographical connection among these areas. An experiment in the PRD was conducted to investigate the spatial synergy in the PRD. The results suggest that the PRD is with a significant trend of spatial synergy; the backbone of mobility network demonstrates that Guangzhou and Shenzhen are the spatial cores; the East-West differences do exist, the closer to the central urban areas, the higher the degrees of spatial integration. These results will benefit the synergic spatial planning and governance of the PRD.
ANALYSIS THE INFLUENCING FACTORS OF URBAN TRAFFIC FLOWS BY USING NEW AND EMERGING URBAN BIG DATA AND DEEP LEARNING
Authors: Li Y. , Zhao Q. , Wang M.
Published: June 2022

Abstract. Urban traffic analysis has acted an important role in the process of urban development, which can provide insights for urban planning, traffic management and resource allocation. Meanwhile, the advancement of Intelligent Transportation Systems has produced a variety of traffic-related data from sensors and cameras to monitor urban traffic conditions in high spatio-temporal resolution. This research applies spatial regression models combined with computer vision and deep learning to analyse traffic flow distributions via various factors in the urban areas and traffic flow data. We include road characteristics and surrounding environments such as land use/cover, nearby points of interest (POI) and Google Street View images. The results show that the daily average traffic flow on main roads is much higher than smaller roads, and nearby POIs numbers have positive effect on traffic flows. The impact of land cover type is insignificant in the linear regression model, while demonstrates significant contribution to traffic flows in spatial regression models. Although the spatial autocorrelation still exists after the spatial regression, the spatial error model generates a better fit on the dataset. Further analysis will focus on extend the current model with the time parameters and understand what influence the changes of traffic flow in the different spatio-temporal scales.
ULTRA-HIGH RESOLUTION MAPS AND MODELS AS TOOLS FOR MANAGING AND MONITORING ENVIRONMENTALLY SENSITIVE GEOSITES (ESTRELA UNESCO GLOBAL GEOPARK, PORTUGAL)
Authors: Soncco C. , Vieira G. , Goyanes G. , Castro E.
Published: June 2022

Abstract. This paper focuses on the interpretation of the natural components presents at different geosites in the Estrela UNESCO Global Geopark and on the analysis of soil erosion dynamics associated with trampling events in recent years. Three areas were evaluated: Salgadeiras - Covão da Clareza, Lagoa Seca and Covão do Boi. On there, UAV photogrammetry surveys were applied to obtain orthomosaics and dense clouds that then were used like background at the successive steps of the analysis. The high resolution of the point cloud and orthomosaics allowed us to identify and cartography the geology, hydrography, and vegetation features presents in each place. Besides all trampling sectors were mapped, establishing thus areas potentially vulnerable to environmental degradation because of walk-induced erosion. The analysis presented at this work evidenced an increase in the trampling areas in all the geosites considered, evidencing the potential of this tool like support for future sustainable management of protected areas.This research was supported by the Foundation for Science and Technology (FCT) within the scope of the project Avaliação de sistemas aéreos inteligentes de baixo-custo para mapeamento 3D da superficies of terrene (PTDC/EAM-REM/30475/2014) and by Estrela UNESCO Global Geopark.
APPLICATION OF SATELLITE STATION DIFFERENTIAL TECHNOLOGY IN REMOTE AREAS
Authors: Zhou T. , Chen H. , Liu J. , Lv L.
Published: June 2022

Abstract. Aiming at the situation that there is no network and communication signal in remote areas, the idea of using satellite station difference technology to obtain relatively accurate positioning is proposed. This paper briefly introduces the current mainstream satellite station differential system, and carries out static and dynamic experiments using satellite station differential technology in the remote Ali Region of Western China. The experimental results show that the selection of satellite station differential system, the selection of receiver, the surrounding environment during observation and the motion state during observation all affect the positioning accuracy. Under the static observation conditions, the satellite station differential can obtain an accuracy better than 0.15m, and in the dynamic At low speed, the precision of 2m can be obtained. The experimental results show that the satellite station differential positioning technology is generally reliable and can be applied to many applications, such as control point measurement, position navigation and so on.
SMARTPHONE-BASED TRAFFIC NOISE MAPPING SYSTEM
Authors: Dubey R. , Bharadwaj S. , Sharma V. B. , Bhatt A. , Biswas S.
Published: June 2022

Abstract. Noise pollution is one of the most serious environmental threats to human health. Noise is becoming more prevalent in urban areas, and it is having a negative impact on human health. The increase in noise is due to the increase in the number of vehicles that creates chaos over the road due to honking. Smart monitoring using is smartphones is required to reduce human dependency and monitor data efficiently to reduce logistical obstacles. A smartphone-based noise monitoring solution can handle the problem of monitoring noise at various traffic crossings in a metropolis. The topographical data, noise data, and noise prediction models are required for forecasting noise levels and showing them as maps. In the Indian city of Lucknow, the entire procedure is being performed by providing a map of 2D and 3D forms. The smartphone-based software tracks noise levels at three road crossings at three different times each day. The collected noise levels were calibrated against a standard noise metre to achieve correct noise levels for these sites. Following that, three noise environment types are chosen and mapped using open-source satellite images and conventional noise models through the web on the GIS platform. The anticipated noise levels on the maps were compared to recorded noise data from identical locations using a conventional noise metre for these three crossings and were found to be within 5.5 dB of accuracy. For 3D mapping, shadow height provides the Z value for point cloud DEM generation for 3D model for noise data of city of Lucknow.
GLOBAL ROAD NETWORK DATASET FUSION BASED ON TRACEABILITY MECHANISM
Authors: Wu C. , Zhang H. , Du X. , Li Z. , Lin S. , Liu J.
Published: June 2022

Abstract. Accurate road network information is the foundation of urban construction, traffic planning and emergency response, and also provides necessary assistance for public travel. How to provide global road network data products with complete elements, rich attributes, and high precision is a problem that must be considered in the reserve of basic geographic information resources.This paper studies the geometric information fusion of multi-source data based on OSM road network data, mainly carries out relevant research work on the identification and matching of homonymous entities, and proposes a method based on traceability mechanism to solve the problem of inconsistent geographical location in different data sets after topology preprocessing of homonymous features, so as to improve the integrity and accuracy of road network data after fusion.This paper proposes a method based on traceability mechanism, and explores a technical processing flow of global road network data fusion. The test process greatly improves the matching effect of entities with the same name in different data sets, greatly ensures the original topology relationship, and improves the integrity and accuracy of the fused road network data. The data test result shows that this method has certain application value and can basically meet the actual needs of multi-source road network data fusion from a global perspective.
RESEARCH OF VECTOR TILE CONSTRUCTION TECHNOLOGY BASED ON APACHE SEDONA
Authors: Zhang H. , Du M. , Huang W. , Ding L. , Tang D. , Jiang J.
Published: June 2022

Abstract. With the development of spatial information technology, the amount of geographic information data shows an explosive growth, which puts forward higher demands on the time efficiency and visualization effect of geographic information data release. vector tile maps have become the main map service mode in the fields of Internet maps and GIS industries because of the advantages of its powerful interactive capabilities, efficient data transmission and lower storage costs. In order to construct massive vector tiles quickly and enhance the scalability of vector tiles application, this paper researched the vector tiles construction technology based on the distributed computing framework. Firstly, we introduced the construction process of vector tiles such as pyramid model, data organization and data generalization, Specifically, the data generalization methods of different geometric types were discussed. Second, Apache Sedona, the distributed computing framework were researched and the advantages for vector data processing is introduced. Then, the Sedona based parallel construction technology is proposed, and pipeline optimization of Spark is applied in this process. Third, a comparative experiment to evaluate the performance were conducted, the result showed that the parallel construction technology had obvious performance advantages, the greater the volume and extent of vector data, the greater the advantage.
ESTIMATIONS OF SEDIMENT TRANSPORT IN A GULLY SYSTEM USING THE MORPHOLOGICAL METHOD
Authors: Dai W. , Fan J. , Liu A. , Wang C. , Li W. , Li M. , Chen X. , Zhao C.
Published: June 2022

Abstract. Gully erosion seriously threatens farmland and causes soil loss. Estimating sediment transport in a gully system is important for understanding the mechanisms of gully erosion. The morphological method successfully applied in estimating bed-material transport in rivers, for some decades, has yet to be applied to gully erosion. Here, we estimate sediment transport in a gully system using the morphological method. It was applied to a laboratory simulation of a loess catchment. Nine high-resolution Digital Elevation Models (DEMs) were acquired by digital close-range photogrammetry and used to determine morphological change. Mass conservation was used to explain measured morphological change, and to infer the changes in sediment transport in space. The results showed that gully erosion is greater than deposition in the initial stages of gully development. Serious gully erosion occurs in the gully heads or upstream areas, and the erosion and deposition become balance in the downstream area. A large proportion of the total transport was actually concentrated into one main channel. Meanwhile, the active areas (high transport) of sediment transport gradually developed from the downstream to upstream with the gully development.
DATABASE STORAGE AND TRANSPARENT MEMORY LOADING OF BIG SPATIAL DATASETS IMPLEMENTED WITH THE DUAL HALF-EDGE DATA STRUCTURE
Authors: Boguslawski P. , Balak P. , Gold C.
Published: June 2022

Abstract. 3D spatial models covering big areas, such as cities, are widely developed in recent years. Loading of a whole model from a hard drive into a computer memory is often not possible due to big amount of data and memory size limitations. Optimisation techniques based on spatial indexing, such as tiling, are applied in order to load at least a part of a model as soon as possible, while the remaining parts are collected in the background. It is especially useful in visualisation of cities. A similar idea is proposed for a transparent loading of a model implemented with the dual half-edge (DHE) data structure and stored in a database. The existing DHE-based solutions require the whole model to be present in the memory, which is a considerable limitation in case of models covering big areas and including detailed representations of city objects, such as buildings and their interiors. The prototype mechanism developed in this work includes loading and unloading of model parts at a level of single edges as well as model tiling. This allows for spatial analysis without complete loading a big amount of data into memory.
TOWARDS AN OPEN SOURCE PYTHON LIBRARY FOR AUTOMATED EXPLORATORY SPATIAL DATA ANALYSIS
Authors: de Kock N. , Rautenbach V. , Fabris-Rotelli I.
Published: June 2022

Abstract. The exploratory spatial data analysis (ESDA) process refers to the use of various functions to gain an initial understanding of a spatial dataset. These include measures of spatial heterogeneity and spatial autocorrelation. Currently, the ESDA process is repetitive and time-consuming. Additionally, while different results arise for different datasets, how these results are generated does not change significantly. Results are also generated individually for each variable which means that they cannot be easily compared or shared.The automation of the ESDA process would therefore have multiple benefits as it would not only save time, but it would also allow the data analyst to keep up with the rapid rate at which we generate data. This paper aims to introduce the first iteration of autoESDA – a Python library capable of automating the ESDA process by summarising the results into a single report.In this paper, we present the defined high-level requirements for the implementation of autoESDA. Various dependency libraries are discussed and a high-level overview of the workflow of autoESDA is described. The library is then evaluated against the requirements laid out earlier in the study. Semi-structured interviews were carried out, which yielded a wealth of feedback and suggestions from the participants, describing how the output report could be improved. Finally, a roadmap of proposed further developments and improvements is discussed.The first version demonstrates that the automation of ESDA is possible and lays the foundation for further development in this regard. This is an important contribution to understanding spatial data as it enables the data analyst to keep up with the magnitude of data that is generated on a daily basis.
RESEARCH ON DEMONSTRATE TRANSPORTATION DEVELOPMENT WITH HEAT MAP
Authors: Du X. , Li G. , Han G. , Zhou Q. , Lin S.
Published: June 2022

Abstract. Heat map is an intuitive and accurate visualization tool for spatial data, which is wildly used in many fields. Based on analysis and setting the various layer weights and technical levels of traffic lines, we can use heat map to demonstrate the distribution state and development level of transportation in certain region, with using the comprehensively methods of inverse distance weight, histogram equalization, density compensation and repetitive parameter iteration. The heat map rule describes the rules of traffic line weighting, line-to-poly modification, dot density adjustment and liner fitting, et al, which can extract and demonstrate transportation development index accurately. Based on traffic layer of global geographic data in some Asian and African countries, heat map of transportation development index test has been done to verify the feasibility and reliability.
THE OPEN DATABASE OF REGIONAL MODELS OF THE INTERNATIONAL SERVICE FOR THE GEOID
Authors: Toro J. F. , Carrion D. , Rossi L. , Reguzzoni M.
Published: June 2022

Abstract. This paper describes the development of a web application to facilitate the management and processing of geoid models in the ISG collection as well as of additional information available in the ISG website (mainly projects, services and publications). The ISG service pays significant attention to metadata and data interoperability from published geoid models. As a result, the possibility of creating a database with all necessary information for describing geoid models has been considered. PostgreSQL was chosen as the database for the implementation to take advantage of PostGIS geographic processing functions for developing a Database Management System for the resources available inside the ISG service catalogue (including geoid products, software, publications, etc.). The project's web development environment is Django, a web framework which is supported by the PostgreSQL database back-end and which makes it easier to integrate new applications or processing services into the website. A model solution for raster data integration using a PostGIS database back-end named Django-raster has also been investigated as part of the implementation, provided also that it is possible to take advantage of the vast Django community. The Django-raster model allows for the storage of datasets as tiles in the database, their exposure as a Tiled Map Services (TMS), and allows as well raster map algebra operations. TMS services will be utilized to share the geoid models and metadata included in the open access archive using a WebGIS, created with OpenLayers.
GEOMATICS VOCATIONAL EDUCATION IN CHINA: CURRENT SITUATION AND RECENT DEVELOPMENTS
Authors: Jia Z. , Zhu Y. , Cao Y. , Dong M. , Zhang L. , Zhou X.
Published: June 2022

Abstract. Geomatics vocational education (VE) is very important for the high-quality development of geomatics industry and high-level supply of skilled talents. Firstly, the paper briefly introduced the development history of geomatics VE in China, and summarized the current status of geomatics VE. Secondly, the paper analysed the issues and problems of geomatics VE, including insufficient input, ambiguous orientation, slowly technology updating, weak teaching staff and closed communication environment. Next, the paper reported the recent reforms of geomatics VE, including the revision of discipline catalog, training objectives and requirements and recommended curriculum standards at different levels. Then, latest developments of teaching resources and training platform are discussed. Finally, the paper proposed an outlook of geomatics VE in China.
Change of Mind: Marketing Social Justice to the Fashion Consumer
Authors: Heim Hilde
Published: June 2022

Marketing aims to influence consumers to buy more; however, buying more is at the very core of the fashion industry’s current malaise. A new system of marketing has arisen in the past decades that promises to offer an alternative solution: supporting the viability of brands while increasing awareness of social issues in the fashion industry and changing consumer behaviour for the better. The marketing of social justice issues or social marketing (SM) (not to be confused with social media marketing) aims to educate, influence and, ultimately, move the consumer to change their purchasing behaviour and make choices for good. Drawing on behavioural change theories and using case study methodology, this paper examines how, through crafting a desired position away from ‘product push’ and towards a social justice ‘pull’, fashion brands are experimenting with SM strategies that propose to transform buying behaviour. The findings indicate that while SM is an emerging marketing strategy for fashion brands, it results in an elevated perception of the brand and, ultimately, an increase in consumption.
شعرية الخطاب الافتتاحي في فن المقامات الأدبية -نماذج مختارة-
Authors: Khaloui Soumicha
Published: June 2022

يزخر التراث السردي العربي بنماذج أدبية متميزة بتعدد الأجناس الأدبية التي تنتمي إليها، وتعتبر المقامات من الفنون النثرية التي راجت في السرد العربي ولا سيما القديم منه، والمقامة كأي نص أدبي لها أسس تقوم عليها، ولا يستوي الفهم لدى متلقيها إلا بالوعي التام بتلك المقومات، ولعل الاستهلال أبرز تلك العناصر باعتباره عتبة نصية مهمة لولوج عالم السرد المقامي، وخطابا افتتاحيا للنص وإعلانا أوَّليا لوجهة السرد.

إننا نسعى من خلال هذا البحث إلى التركيز على الاستهلال الذي افتُتحت به المقامات، وقد أخذنا نماذج مختلفة من فن المقامات الأدبية لتكون مجال بحثنا التطبيقي، فرصدنا جُمَلها الافتتاحية ثم أجملنا الحديث عن سماتها الفنية وعن قدرة كاتبها على نقل المتلقي من مجال الواقع إلى مجال الخيال، وتأسيسا على هذا، خرجنا بمجموع مواطن التقليد والتجديد التي ميزت الاستهلالات المقامية، وبالتالي مدى شعرية هذه العتبة النصية في النماذج المختارة.
L’évolution des dialectes arabes : étude sociolinguistique et quantitative (le cas de l’Algérie)
Authors: Kerras Nassima , Essayahi Moulay Lahssan Baya
Published: June 2022

Cette étude a pour but d’analyser l’arabe algérien, qui, malgré sa constante évolution comparée à la langue arabe standard et la langue française, n’est toujours pas reconnu comme langue officielle, mais plutôt comme langue maternelle. De ce fait, il est essentiel de réaliser une étude descriptive-quantitative, afin de comprendre cette réalité linguistique. Ce travail de recherche vise, donc, à contextualiser la sociolinguistique d’une part mais aussi à réaliser une étude d’analyse à travers un questionnaire de recueil des préférences linguistiques des algériens. Les résultats obtenus nous permettent d’identifier les domaines dans lesquels l’arabe algérien est le plus utilisé et à proposer des recommandations pour la planification de la politique linguistique en Algérie.
نرجسية...انشطار...اغتراب تجلّيات الأنا في ديوان "جزيئات جامحة" للشاعرة مرام العمري
Authors: Alahmadi Majdi Eid
Published: June 2022

يناقش هذا البحث مفهوم (الأنا) والذات بشكل موجز، ثمّ يتناول تجلّيات (الأنا) في ديوان "جزئيات جامحة" للشاعرة مرام العمري، مُتتبّعًا أشكال (الأنا) البارزة في هذا الديوان من جانبين، هما: (العتبات والأنا)، و(القصائد والأنا)، وهي دراسة تعتمد على التحليل المُفضي إلى الدلالات المرتبطة بتجلّي (الأنا) وشكلها.

وخلص البحث إلى أنّ (الأنا) في ديوان "جزئيات جامحة" جاءت في ثلاثة أشكال، هي: (نرجسية الأنا)، و(انشطار الأنا)، و(اغتراب الأنا)، لكنّ النرجسية تجلّت في صورة جميلة، وكانت تعلو في الديوان، منطلقةً من الإيمان بالذات، والرغبة في تجاوز العقبات، من خلال صوت أنثوي لا يخلو من لحظات الانشطار والاغتراب، إلّا أنّ النرجسية تدفعها إلى الأمام، وتؤدي إلى الإفصاح عمّا يدور في داخلها.
Camacho, Fernando; Escribano, Fernando; Farzamnia, Nadereh y Neila, José Luis (coords.). Miradas de Irán, historia y cultura. Los libros de la catarata, Madrid, 2021, 284 pp.
Authors: Sánchez Abascal Pablo
Published: June 2022

Reseña de la obra de Camacho, Fernando; Escribano, Fernando; Farzamnia, Nadereh y Neila, José Luis (coords.). Miradas de Irán, historia y cultura. Los libros de la catarata, Madrid, 2021, 284 pp. Obra de carácter multidisciplinar resultado de un trabajo colaborativo entre académicos de diferentes países y áreas de investigación que recoge muchos de los estudios históricos, literarios y visuales que corroboran la estrecha relación que han mantenido, desde hace varios siglos, el mundo persa e hispanohablante. De esta forma, las contribuciones que componen esta obra se adentran y profundizan en materiales y muestras prácticas específicas que contextualizan dichos aspectos históricos, literarios y visuales que se estudian.
El postsionismo y la cuestión palestina-israelí. Fisuras, reacciones y continuidad
Authors: Basallote Marín Antonio
Published: June 2022

El presente trabajo tiene por objetivo analizar el concepto y fenómeno del postsionismo, centrándonos en el debate académico que tuviera lugar en la década de 1990, liderado por una corriente de historiadores revisionistas que conformaron la llamada nueva historiografía israelí. Estos académicos, que tuvieron acceso a fuentes de información primarias y directas hasta entonces clasificadas, deconstruyeron los principales mitos fundacionales del Estado de Israel, cuestionado la ideología oficial de Estado, el sionismo, y validando el trabajo previo de autores palestinos que habían sido ignorados. Este hecho, coincidente con la I Intifada, tuvo una gran repercusión en la imagen internacional de la cuestión palestino-israelí y en futuros trabajos sobre Palestina e Israel. Reflexionamos, así mismo, sobre el componente generacional y la influencia que el llamado postsionismo y en especial su manifestación académica, pudiera tener en la memoria colectiva de la sociedad israelí y en la historiografía respecto a Palestina e Israel, tanto a nivel interno como en el ámbito internacional. Consideramos esencial el contexto ideológico, donde el sionismo sigue siendo hegemónico y el pensamiento político decisivo en la historia de Palestina e Israel. Por ello, es también fundamental valorar las posibles fracturas y disensos al respecto, centrándonos en el ámbito académico, en especial la historiografía, por la influencia que esta puede tener en la formación de opinión respecto a la cuestión palestino-israelí y como base bibliográfica de otras investigaciones.
Abdennour Benantar (dir.), Le Maghreb et la crise entre les monarchies du Golfe. Une neutralité positive, París, L’Harmattan, 2021, 184 P.
Authors: Dominguez de Olazabal Itxaso
Published: June 2022

Reseña de la obra de Abdennour Benantar (dir.), Le Maghreb et la crise entre les monarchies du Golfe. Une neutralité positive, París, L’Harmattan, 2021, 184 P.
El Ministerio de Awqāf, al-Azhar y la reconfiguración de la política religiosa en el Egipto post-Mubarak
Authors: Buendia Pedro , Elassal Ibrahim
Published: June 2022

Desde el inicio de su mandato, una de las prioridades del presidente Abdel Fattah El Sisi fue la reconfiguración de las relaciones del poder religioso en Egipto, un pilar sobre el que se asienta la legitimidad del régimen. No obstante, sus intentos de restar poder a la institución de al-Azhar por medio del ministerio de Awqāf o Asuntos Religiosos se enfrentaron a la tenaz resistencia de al-Azhar, en un escenario de tensión larvada entre los diversos actores religiosos del estado. En el presente artículo se exponen las líneas maestras que, en el escenario post-Mubarak, configuran la relación entre el estamento religioso de al-Azhar y el estado egipcio con sus diferentes instituciones político-religiosas, analizando en qué medida estas influyen en los sucesos y avatares de la política egipcia contemporánea.
PENGARUH SELF EFFICACY, IKLIM ORGANISASI, QUALITY OF WORK LIFE TERHADAP KEPUASAN DAN KINERJA KARYAWAN
Authors: Azhari Azhari , Chadafi Muhammad Ferdiananda , Yusniar Y
Published: June 2022

Penelitian ini bertujuan untuk melihat bagaimana pengaruh self efficacy, iklim organisasi dan kualitas kehidupan kerja terhadap kepuasan kerja dan kinerja karyawan PT. BNI Tbk penelitian ini bertempat di kantor PT. BNI Tbk Kantor Cabang Bireuen dan Lhokseumawe. Populasi dan sampel dalam penelitian ini adalah seluruh karyawan di PT. BNI Tbk Kantor Cabang Bireuen dan Lhokseumawe yang berjumlah 127 orang. Analisis data penelitian menggunakan program SEM AMOS. Penelitian ini menunjukkan bahwa variabel efikasi diri dan iklim organisasi berpengaruh signifikan terhadap kepuasan kerja karyawan PT. BNI Tbk. Kualitas kehidupan kerja berpengaruh tidak signifikan terhadap kepuasan kerja karyawan PT. BNI Tbk Self efficacy dan kualitas kehidupan kerja berpengaruh tidak signifikan terhadap kinerja PT. BNI Tbk. Iklim organisasi dan kepuasan kerja berpengaruh signifikan terhadap kinerja PT. BNI Tbk. Kepuasan kerja tidak memediasi hubungan antara efikasi diri dan kualitas kehidupan kerja terhadap kinerja pegawai PT. BNI Tbk. Kepuasan kerja memediasi hubungan antara iklim organisasi dengan kinerja karyawan pada PT. BNI Tbk.
PENILAIAN KINERJA DAN KOMPENSASI BERPENGARUH TERHADAP EMPLOYEE ENGAGEMENT DIMEDIASI MOTIVASI KERJA: Studi Empiris di Indonesia
Authors: Rahmana Helman Aris , Soliha Euis
Published: June 2022

Employee engagement diyakini sebagai salah satu faktor fundamental yang membantu mencapai keunggulan kompetitif, keberhasilan, dan berkelanjutan organisasi. Oleh karena itu, sangat penting bagi organisasi untuk terus menemukan cara memotivasi dan meningkatkan tingkat engagement karyawannyaPenelitian ini menunjukkan bahwa secara parsial dan simultan penilaian kinerja dan kompensasi berpengaruh positif signifikan terhadap motivasi kerja, kemudian penilaian kinerja dan kompensasi berpengaruh positif signifikan terhadap employee engagement. Selain itu, penelitian ini juga menunjukkan bahwa secara parsial dan simultan penilaian kinerja, kompensasi, dan motivasi kerja berpengaruh positif signifikan terhadap employee engagement. Selanjutnya, hasil uji mediasi menghasilkan bahwa motivasi kerja secara signifikan memediasi pengaruh penilaian kinerja terhadap employee engagement dan pengaruh kompensasi terhadap employee engagement.Oleh karena itu, para praktisi manajemen sumber daya manusia dan pihak yang berkepentingan sebaiknya mempertimbangkan penilaian kinerja, kompensasi, dan motivasi kerja dalam mengelola employee engagement
PERAN BAHASA MOTIVASI SEBAGAI PEMODERASI HUBUNGAN PERILAKU BERBAGAI PENGETAHUAN TERHADAP PERILAKU KERJA INOVATIF DAN KEPUASAN KERJA
Authors: Akmal Akmal Akmal , Azliyanti Elfitra
Published: June 2022

Tujuan penelitian untuk mengeksplorasi tentang pengaruh perilaku berbagi pengetahuan terhadap perilaku kerja ionovatif dan kepuasan kerja diantar karyawan dengan bahasa motivasi sebagai variabel moderasi. Hubungan hipotesis diuji dengan menggunakan analisis STATA. Data dikumpulkan dengan menggunakan kuesioner dengan jumlah sebanyak 45 karyawan diperusahaan. Hasil penelitian ditemukan bahwa perilaku berbagai pengetahuan berpengaruh positif terhadap perilaku kerja inovatif, sedangkan perilakuberbagi pengetahuan berpengaruh negatif terhadap kepuasan kerja karyawan. Selanjutnya bahasa motivasi memoderasi hubungan antara perilaku berbagi pengetahuan dan perilaku kerja inovatif.
Niat Pembelian Online Pada Startup Digital: Peran Dukungan Sosial Dan Sikap Konsumen
Authors: Azzahra Aurensia Putri , Artanti Yessy
Published: June 2022

Internet saat ini merupakan hal yang sangat penting bagi perkembangan bisnis startup. Banyak startup yang saat ini beralih menggunakan teknologi dan berinovasi membantu para pelaku usaha kecil menengah untuk menjalankan bisnis, sehingga dapat meningkatkan omset usahanya terlebih di era pandemi Covid - 19 saat ini. Banyaknya jumlah bisnis startup berbasis teknologi seperti platform belanja online, membuat masyarakat cenderung berniat melakukan pembelian online. Akan tetapi, masih sedikit masyarakat yang mengetahui bahwa terdapat inovator bisnis startup yang menjadi wadah untuk membantu usaha kecil lokal. Penelitian ini bertujuan untuk menganalisis dan membahas pengaruh dukungan emosional, dukungan informasional, dan sikap konsumen terhadap niat pembelian pada platform belanja online Titipku. Pada penelitian ini menggunakan nonprobability sampling dengan mengandalkan judgment peneliti agar dapat memudahkan membidik responden. Responden adalah seseorang yang belum pernah melakukan pembelian pada platform belanja online Titipku dengan rentang usia 18 – 55 tahun sebanyak 200 responden. Teknik analisis data menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan variabel dukungan emosional, dan sikap konsumen memiliki pengaruh terhadap niat pembelian pada platform belanja online Titipku, sedangkan variabel dukungan informasional tidak memiliki pengaruh terhadap niat konsumen dalam melakukan pembelian pada platform belanja online Titipku. Penelitian ini memberikan informasi bagi Titipku untuk dapat merumuskan dan menemukan strategi memperoleh jumlah pengguna atau konsumen agar lebih membantu usaha kecil yang tergabung di dalamnya. Titipku dapat meningkatkan kualitas situsnya agar lebih memudahkan setiap konsumen dapat terhubung satu sama lain.
PERSEPSI MAHASISWA AKUNTANSI TERHADAP INTERNATIONAL FINANCIAL REPORTING STANDARDS
Authors: Nugroho Paskah Ika , Kristanti Rosita Adi
Published: June 2022

Penelitian ini bertujuan untuk mengetahui gambaran tingkat pengetahuan dan opini mahasiswa terhadap IFRS baik adopsi maupun dampaknya, juga sebagai bahan evaluasi dan pertimbangan bagi akademisi dan institusi pendidikan yang berkaitan dengan pengintegrasian IFRS pada kurikulum dan penawaran kelas tentang IFRS. Sampel pada penelitian ini diambil dengan metode disproportionate random sampling. Pengujian pada penelitian ini menggunakan independent sample t-test, analysis of variance, dan regresi berganda. Penelitian ini menemukan bahwa; pertama, tidak terdapat perbedaan tingkat pengetahuan antara mahasiswa pria dan wanita. Kedua, juga tidak ditemukan perbedaan tingkat pengetahuan antara kelompok umur. Ketiga, ditemukan pebedaan tingkat pengetahuan yang signifikan pada kelompok tahun masuk. Terakhir, ditemukan bahwa tingkat pengetahuan dan minat memiliki peran penting terhadap keputusan mahasiswa mengambil kelas tentang IFRS apabila fakultas menawarkannya.
Evaluating binaural beats as a therapeutic tool for intervening visually-induced motion sickness in virtual reality environments
Authors: Bukhari Ashfaq Ahmad Shah , Deng Xinran , Huang Jingyi , Liu Keming , Durrani Mehwish , Zaman Muhammad Haidar
Published: June 2022

Background: Visually-induced motion sickness (VISM) is an emerging problem in the application of virtual reality (VR) technology. Binaural beats are proven to be effective in reducing anxiety levels and enhancing pain management in VR environments. They may have the potential to be a remedy for symptoms of visually-induced motion sickness.
Objective: To investigate whether binaural beats can effectively ease the symptoms of VIMS.
Methods: Motion sickness susceptible individuals (n=35) were assigned to wear VR headsets and watch a 15-min VR video to evoke VIMS. Whenever motion sickness was self-reported by subjects, they were randomized into three groups receiving three types of intervention methods: Subjects in the experimental group listened to binaural beats; The control group was treated with beats of the same frequency at two soundtracks. And the blank group recovered without any sound played in the earphones. Subjects filled in the Simulator Sickness Questionnaires (SSQ) at three stages—before watching the VR video (baseline), during the watching experience (induction), and after watching (recovery). To increase the credibility, their physiological data were collected by a Biofeedback device during the whole process.
Results: Participants’ subjective SSQ scores were analyzed, which did not reveal any significant difference between recovery and induction (p>0.05). The physiological data were following the result obtained from analyzing SSQ scores.
Conclusion: The binaural beats did not show a significant effect of alleviating VISM.
COVID-19 statistical report - 1 June 2022
Authors:   Public Health Scotland
Published: June 2022

This weekly release by Public Health Scotland presents data on COVID-19 across NHS Scotland.
Creencias en teorías conspirativas sobre vacunas COVID-19 en la Comunidad Andina de Naciones
Authors: Caycho-Rodríguez Tomás , Gallegos Miguel , Valencia Pablo D. , Vilca Lindsey W. , Moreta-Herrera Rodrigo , Puerta-Cortés Diana Ximena , Pinto Tapia Bismarck
Published: June 2022

Los estudios sobre aceptación y rechazo hacia las vacunas, así como la creencia en teorías conspirativas, y la falta de confianza en los gobiernos y la ciencia, han sido importantes para analizar el proceso de vacunación contra el COVID-19 a nivel mundial, pero han sido bastante limitados, hasta el momento, para el caso de América Latina. En este sentido, el objetivo de este trabajo consiste en describir el grado de aceptación o no a ciertas creencias de conspiración sobre las vacunas contra la COVID-19 en una muestra de países miembros de la Comunidad Andina de Naciones (CAN): Bolivia, Colombia, Ecuador y Perú. Se diseñó un estudio transversal descriptivo en el que participaron 1835 personas de Bolivia, Colombia, Ecuador y Perú. Para la evaluación de estas creencias se utilizó la Escala de Creencias de Conspiración de Vacunas COVID-19 (ECCV-COVID, Caycho-Rodríguez et al., 2022a). Los resultados indican que, el Perú presenta el mayor puntaje promedio de creencias de conspiración sobre las vacunas contra la COVID-19. Además, en los 4 países el menor grado de aceptación es con la creencia sobre “Vacunar a los niños contra la COVID-19 es perjudicial y este hecho está ocultado”. En Colombia, Ecuador y Perú el mayor grado de aceptación está referida a la creencia conspirativa referida a que “La información sobre la seguridad de las vacunas contra la COVID-19 a menudo se inventan”. Finalmente, en Bolivia, el mayor grado de aceptación es con la creencia de que “Las empresas farmacéuticas ocultan los peligros de las vacunas contra la COVID-19”. Los resultados presentados en este estudio son los primeros que se conoce de forma genérica en población latinoamericana, y particularmente, en la población Andina.
La pandemia COVID-19 inductor de tecnoestrés en docentes de la educación ecuatoriana de segundo nivel
Authors: Abarca Carrasco Rodrigo Gabriel , Buenaño Pesántez Carlos Volter , Mejía Gallegos Francisco Adriano , Huaraca Morocho Brigette Carolina
Published: June 2022

Casi dos años después de que se impuso la adecuación del trabajo docente a la modalidad remota, la política pública educativa no visualiza en su discurso actual la atención al tecnoestrés docente como prioridad y no existen acciones concretas encaminadas en ese sentido. Se realizó un estudio cuantitativo, observacional, descriptivo y correlacional en tres colegios fiscales, a fin de obtener información sobre la prevalencia de tecnoestrés en docentes y aportar evidencia empírica acerca de las diferencias entre ambos sexos, en cuanto a algunos factores asociados a este. Los resultados tecnoestrés en los y las docentes participantes, independientemente a la edad, sexo y años de experiencias y correlacionado con la sobre carga tecnológica, la intensidad de trabajo diario, tecno-invasión y las consecuencias socioemocionales al trabajar fuera el horario laboral, en contexto COVID-19 y, como consecuencias impacto negativo en su bienestar psicológicos; los datos aportados sugieren implicancias interesantes del uso de las TICs que se extienden más allá de lo educativo y lo tecnológico, alcanzando además los campos: social, salud ocupacional y psicológico. Por lo que se recomienda seguir realizando investicaciones acerca de este fenómeno durante y post COVID-19.
Validation of Strategic Coaching Model for FlexIT-Pro Online-based Competency-based Education Program
Authors: Anthony Peter , Fountain Elizabeth , Takei Hideki , White Rachel , Williams Luke
Published: June 2022

Competency-based education (CBE) is a growing movement of higher education institutions to educate non-traditional adult learners. Coaching quality influences CBE's success as coaches share learning responsibility with students. FlexIT-Pro is a modified CBE program. After years of effective coaching, we developed a FITP Strategic Coaching Model and implemented it. This paper will present the Strategic Coaching Model, the assessment of the model, and the modified version of the model.