bluuebunny/crossref_metadata_2025 huggingface dataset:
PREDICTING THE IMPACT OF RAPID URBANISATION ON URBAN GROUNDWATER LEVEL VARIATIONS AND ANALYZING CLIMATE DYNAMICS IN PUNJAB'S CITIES, INDIA: AN APPROACH TOWARDS SUSTAINABLE CITIES
Authors: Awasthi S. , Jain K. , Sur K. , Goswami A.
Published: December 2023

Abstract. In the past few decades, India has witnessed an unparallel population growth across its urban centres. The significant rise in urban population has led to acute demands for resources to sustain them, contributing to anthropogenic activities that impact urban resources and climate. This study was carried out to analyse the impact of rapid urbanisation on the groundwater level variation and climate dynamics. Focus was laid on Ludhiana and Patiala urban centres of Punjab state, India. Multi-temporal analysis of LULC was computed using Landsat-4, 5, 7 & 8 datasets to analyse urban sprawl during 1990–2023 for both the cities. A significant increase of 30% urban area was observed during 1990–2023. Further, to analyse the impact of urbanisation on ground water levels, the groundwater water storage variation was analysed using the GRACE and GRACE-FO mission datasets. It was found that the groundwater withdrawal was greater than the amount of total groundwater recharge during 1990–2023. Both these cities Ludhiana and Patiala has experienced an extreme decline in groundwater storage levels. Further, the time-series statistical relationships were explored to understand the relation between urban sprawl and annual temperature, rainfall patterns and total water storage for these cities during the years 2000-2022 for analysing the effect of rapid urbanization.
UNDERSTANDING THE IMPACTS OF CROP DIVERSIFICATION IN THE CONTEXT OF CLIMATE CHANGE: A MACHINE LEARNING APPROACH
Authors: Giannarakis G. , Tsoumas I. , Neophytides S. , Papoutsa C. , Kontoes C. , Hadjimitsis D.
Published: December 2023

Abstract. The concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity. However, the effects of such practices are known to depend on environmental conditions, and are therefore expected to change as a result of a changing climate. We study the impact of crop diversification on productivity in the context of climate change. We leverage heterogeneous Earth Observation data and contribute a data-driven approach based on causal machine learning for understanding how crop diversification impacts may change in the future. We apply this method to the country of Cyprus throughout a 4-year period. We find that, on average, crop diversification significantly benefited the net primary productivity of crops, increasing it by 2.8%. The effect generally synergized well with higher maximum temperatures and lower soil moistures. In a warmer and more drought-prone climate, we conclude that crop diversification exhibits promising adaptation potential and is thus a sensible policy choice with regards to agricultural productivity for present and future.
DEEP LEARNING-BASED STEREO MATCHING FOR HIGH-RESOLUTION SATELLITE IMAGES: A COMPARATIVE EVALUATION
Authors: He X. , Jiang S. , He S. , Li Q. , Jiang W. , Wang L.
Published: December 2023

Abstract. Dense matching plays an important role in 3D modeling from satellite images. Its purpose is to establish pixel-by-pixel correspondences between two stereo images. The most well-known algorithm is the semi-global matching (SGM), which can generate high-quality 3D models with high computational efficiency. Due to the complex coverage and imaging condition, SGM cannot cope with these situation well. In recent years, deep learning-based stereo matching has attracted wide attention and shown overwhelming benefits over traditional algorithms in terms of precision and completeness. However, existing models are usually evaluated by using close-ranging datasets. Thus, this study investigates the recent deep learning models and evaluate their performance on both close-ranging and satellite image datasets. The results demonstrate that deep learning network can better adapt to the satellite dataset than the typical SGM. Meanwhile, the generalization ability of deep learning-based models is still low for the real application at recent time.
COMPARATIVE ANALYSIS OF MORPHOLOGICAL (MCSS) AND LEARNING-BASED (SPG) STRATEGIES FOR DETECTING SIGNAGE OCCLUSIONS ALONG TRANSPORTATION CORRIDORS
Authors: Pascucci N. , Shin S.-Y. , Hodaei M. , Dominici D. , Habib A.
Published: December 2023

Abstract. Signage visibility along transportation corridors is critical for drivers in terms of road safety, traffic flow, and enforcement. Traffic signs that are easy to recognize by drivers and autonomous vehicles can help in avoiding accidents and improve safety. Nowadays, Mobile Mapping Systems (MMS) equipped with LiDAR units can scan road network components and its surrounding environment at a normal driving speed while collecting accurate geospatial data. Most traffic signs have well-defined geometric characteristics (e.g., linear or planar features) which can be identified in the 3D LiDAR data acquired by MMS. Therefore, MMS LiDAR data are an ideal source to recognize traffic signs. In addition to traffic sign detection, MMS can also identify vegetation along the right-of-way and evaluate signage visibility. Thus, this paper presents a framework for using MMS LiDAR data for traffic sign and vegetation detection which is a prerequisite for signage visibility analysis. For signage and vegetation detection, two alternative strategies are adopted: 1) a morphological approach and 2) a learning-based approach. For the geometric/morphological approach, Multi-Class Simultaneous Segmentation (MCSS) is utilized in this study. As for the learning-based strategy, semantic segmentation of LiDAR data are performed using Super Point Graph (SPG). Lastly, signage visibility analysis is conducted based on the occlusion rate assessed from different driver’s viewpoints.
HYPERSPECTRAL IMAGING IN PRESERVATION OF CROATIA’S HISTORIC TREES: A CASE STUDY OF DEDEK OAK IN MAKSIMIR PARK
Authors: Babić L. , Miljković V. , Odak I. , Đapo A.
Published: December 2023

Abstract. This study focuses on the application of hyperspectral imaging techniques for the genetic preservation of historic trees, specifically investigating the 600-year-old "Dedek" Oak in Maksimir Park, Croatia. The research aims to contribute to the conservation of Croatia's natural heritage and underscore the potential of hyperspectral imaging in tree preservation. The Croatian Forest Research Institute has been actively involved in preserving the pedunculate oak trees, recognizing their cultural and ecological significance. Efforts have been made to cultivate seedlings from the original genetic material, thereby preventing the loss of valuable genes and ensuring their long-term preservation. Spectral signatures of "Dedek" Oak and its clones were captured using high-performance hyperspectral push broom cameras, including the HySpex VNIR-1800 and SWIR-384. Spectral camera scanning was conducted in the field and laboratory. The comparative analysis of the spectral samples revealed unique characteristics and demonstrated the effectiveness of hyperspectral imaging in studying historic trees for preservation purposes. The spectral signatures of vegetation display dynamic characteristics in terms of spectral resolution. Collecting and documenting these signatures is considerably more challenging, and their integration into spectral libraries should be approached with careful consideration. There are several spectral libraries that are organized by chapters and consist of samples that have a sufficient number of analysis and documentation to determine the quality of the spectrum. In this study, spectral signatures of pedunculate oak (Quercus robur L.) called Dedek and its clones were singled out. The objective of this research was to establish a foundation for a spectral library that would facilitate future research on the application of hyperspectral scanners for detecting protected tree species and their clones, all for the purpose of preservation of the genetic diversity of protected trees in Croatia. The findings of this research contribute to the conservation of Croatia's natural heritage by providing valuable insights into the genetic preservation of the 600-year-old "Dedek" Oak. Also, determining the spectral signatures of clones can help us with the identification of specific tree species (especially during aerial imaging, which is planned to be conducted in the future). In conclusion, this research showcases the importance of preserving historic trees and the potential of hyperspectral imaging as a valuable tool for genetic preservation efforts. The study's outcomes contribute to the long-term conservation of Croatia's natural heritage and provide a foundation for future research in the field of tree preservation and spectral library inception.
SPATIO-TEMPORAL ANALYSIS OF URBAN ECONOMIC RESILIENCE DURING COVID-19 WITH MULTILAYER COMPLEX NETWORKS
Authors: Liu Z. , Wu J. , Li H. , Werner M.
Published: December 2023

Abstract. The COVID-19 pandemic has impacted the economic growth of almost every country, with many industries facing operational difficulties, and the failures of a large number of restaurants, in particular, have extensively tested the resilience of urban economies. The gastronomy business is one of the most decentralized and location-based consumer business in urban, which is highly related to the economic attributes of cities. However, there are few studies on quantitative analysis of urban economic resilience through the opening and closing of restaurants. Understanding and planning for the aftermath of the COVID-19 may not only minimize detrimental effects but also provide insights into the economic recovery policies. This study analyzes the phenomenon of restaurant failures after the pandemic in Shenzhen, China via percolation in multilayer complex networks. We identify the closed restaurants through data mining, and construct the human mobility network through mobile phone location data, aggregating origin and destination points into grids. We then embedded the restaurants’ Points of Interest (POIs) into the grids, creating an additional restaurant network layer. By considering spatial interactions between restaurants, we constructed a geographical proximity network for restaurants in each grid. Finally, Using these multilayered nested networks, we analyzed the pandemic’s impact and the occurrence of critical phenomena related to restaurant closures under lockdown policies through percolation in multilayer complex networks. As a result, this study found that the severity of the pandemic significantly increased the probability of restaurant failures, with cascade and critical phenomena. However, implementing precise lockdown measures can effectively lower the probability of restaurant closures. These results highlight the effectiveness of accurate lockdown policies in striking a balance between epidemic prevention and economic development, contingent upon the correct identification of high-risk areas. This finding suggests that policy makers and public health departments need to balance policy effectiveness with interventions in economic activities in order to increase the resilience of urban economies during the pandemic.
MODELLING AND MAPPING OF DIFFERENTIATION IN SOIL MATERIAL REDISTRIBUTION IN THE ARABLE AREAS
Authors: Trofimetz L. , Panidi E.
Published: December 2023

Abstract. In the current article, we describe an approach to computational estimation of the soil runoff intensity in the experimental area. Additionally, we summarize most basic recommendations for the implementation of proposed approach when studying arable planes complicated by polygonal-block microrelief. These recommendations are aimed onto formalising and simplifying of the initial data preparation for automated GIS-based mapping of soil runoff. Particularly, we recommend to establish a reference value of caesium-137 deposit at the block elevations of watershed surface. As a result of the experimental work, we present map of caesium-137 deposit in the soil material and soil loss intensity map compiled automatically for the experimental area.
TOWARD DATA LAKES FOR CRISIS MANAGEMENT
Authors: Krtalić A. , Kuveždić Divjak A. , Miletić A.
Published: December 2023

Abstract. The content of the data lake comes (is filled) from different sources, and different users (experts in various fields) of the same data can download and analyse the same data for their (different) needs and analysis. Big Data about the human environment and the effect of natural and human-caused disasters (in this case: heat islands, earthquakes and lava flows, and landmine contamination) on that environment have been available to many people for years and are the subject of discussions, but there are still numerous research challenges in the form of structuring and storing data and analysis results. This implies certain requirements for efficient integration, access and querying of the various data in the data repository for the described purpose. Data lakes and data warehouses are offered as solutions to this problem. Well-designed data lakes can be a basic building block for different solutions in the analysis of the effects of disasters on the environment, and high-quality data warehouses for modelling future potential disasters in the same area. This paper presents certain personal observations and certain proposals for the creation of efficient data lakes and data warehouses (based on many years of work on problems in areas: humanitarian demining, heat islands and volcanic activity) for the needs of decision-making in crisis based on examples from practice. The goal is to influence the development of a unique framework for the creation and maintenance of a data lake, in terms of its better utilization so that it does not become a data swamp.
MULTI-DIMENSIONAL POVERTY IDENTIFICATION AND EVOLUTION ANALYSIS IN HEBEI PROVINCE BASED ON NIGHTTIME LIGHT REMOTE SENSING DATA
Authors: Sun Y. , Wang Y. , Feng X. , Gong Z. , Duan F. , Zhao W.
Published: December 2023

Abstract. This paper explores the use of spatiotemporal geographic information and advanced technology to effectively address the issue of poverty reduction and development. The focus is on Hebei Province, where multi-dimensional poverty identification and spatiotemporal evolution analysis are conducted using nighttime light remote sensing data. The study establishes a Multi-dimensional Poverty Index (MPI) system based on the regional average nighttime light index (ANLI) extracted from data spanning 2010, 2014, and 2018. A coupled regression model confirms the correlation between MPI and ANLI. Visualization and analysis are performed using GIS technology, Moran's I, and Getis's G* to interpret the identification results. From the experimental results, MPI established in this paper fits well with ANLI, which can be used for poverty identification and monitoring. The established multi-dimensional poverty model can identify multi-dimensional poverty counties better. However, there is a large discrepancy in the match with the traditional list of poor counties issued by the state from the perspective of absolute economic poverty. From the perspective of spatiotemporal evolution, it can be seen that the overall poverty level in Hebei Province has changed with time. Although there is aggregation among poverty areas, the aggregation is not deep. The poverty level of the traditional national-level poor counties has also been reduced, but the pattern of poverty aggregation remains unchanged. The "C-shaped" poverty belt around Beijing formed by Chengde, Zhangjiakou, Baoding and other surrounding counties in northern Hebei Province is still the focus of poverty alleviation work in the next stage.
ERROR ASSESSMENT AND PROPAGATION IN DIGITAL TERRAIN MODELING: A REVIEW
Authors: Mesbah S. , Madbouly M. M. , Ghanem M.
Published: December 2023

Abstract. Digital Terrain Modeling (DTM) is widely used in various applications such as terrain analysis, hydrological modeling, and urban planning. However, the accuracy of DTM heavily relies on the quality of input data and the algorithms used to process the data. Errors in DTM can have significant impacts on downstream applications, such as flood forecasting and land-use planning. Error assessment and propagation in DTM is the process of identifying and quantifying errors in the DTM and evaluating how these errors propagate through downstream applications. This paper provides an overview of error assessment and propagation in DTM, including sources of errors, methods of error assessment, and techniques for error propagation analysis. The paper also discusses the importance of error assessment and propagation in ensuring the accuracy and reliability of DTM and downstream applications.
VISUAL LIDAR ODOMETRY USING TREE TRUNK DETECTION AND LIDAR LOCALIZATION
Authors: Park K. W. , Park S. Y.
Published: December 2023

Abstract. This paper presents a method of visual LiDAR odometry and forest mapping, leveraging tree trunk detection and LiDAR localization techniques. In environments like dense forests, where smooth GPS signals are unreliable, we employ camera and LiDAR sensors to accurately estimate the robot's position. However, forested or orchard settings introduce unique challenges, including a diverse mixture of trees, tall grass, and uneven terrain. To address these complexities, we propose a distance-based filtering method to extract data composed solely of tree trunk information from 2D LiDAR. By restoring arc data from the LiDAR sensor to its circular shape, we obtain position and radius measurements of reference trees in the LiDAR coordinate system. Then, these values are stored in a comprehensive tree trunk database. Our approach combines visual-based SLAM and LiDAR-based SLAM independently, followed by an integration step using the Extended Kalman Filter (EKF) to improve odometry estimation. Utilizing the obtained odometry information and the EKF, we generate a tree map based on observed trees. In addition, we use the tree position in the map as the landmark to reduce the localization error in the proposed SLAM algorithm. Experimental results show that the loop-closing error ranges between 0.3 to 0.5 meters. In the future, it is expected that this method will also be applicable in the fields of path planning and navigation.
TOWARDS PEDESTRIAN ACCESSIBILITY ANALYSIS IN INDOOR ENVIRONMENTS WITH CROWDS
Authors: Liu L. , Zlatanova S.
Published: December 2023

Abstract. Except in emergency cases, indoor crowds could also decrease the walking speed of pedestrians in daily life. To investigate daily-based accessibility of locations to a pedestrian in the presence of crowds, this paper proposes a method of indoor accessibility analysis. We adopt a hierarchical spatial model to represent indoor environments and evaluate the varied accessibility to a user. The first level refers to a door network representing door connectivity. On the second level, spaces are gridified so that crowd density can be readily measured, and its obstruction to pedestrians can be quantified at different time slots. Instead of generating specific obstacle-avoidance paths in a short period, we depict accessibility variation with two types of paths, i.e., central and periphery paths inside rooms. Based on the hierarchical model, pathways are pre-computed between doors for a user and indexed in the grid model. In a path query, a sequence of doors is derived from the door network, and the pre-computed pathways are readily retrieved to form the two types of paths. Accordingly, walking time can be estimated with crowd density in these grids at each time slot. We conducted an initial test on a building floor to demonstrate the use of the proposed method. We sampled the locations of simulated crowds (50 persons) every 10 seconds, and the time cost between given doors in both paths are compared. A slowdown occurred in the central path, and the periphery path involves the minimum time in the test scenario. In the future, the relationship between crowd density and the possibility of blockage to pedestrians will be further investigated.
ASSESSING THE MEASUREMENT QUALITY OF UAV-BORNE LASER SCANNING IN STEEP AND SNOW-COVERED AREAS
Authors: Strand S. H. , Haakonsen T. A. , Dahle H. , Fan H.
Published: December 2023

Abstract. Avalanche monitoring in the Norwegian mountains has potential for preventing disasters and informing hikers. Using a Unmanned Aerial Vehicle (UAV)-borne laser scanner, this work proposes a protocol to assess the quality of point cloud data for monitoring avalanche risks. Roof models are used as control planes to analyze the collected points. The distances to the control planes are used to investigate error measures, and inliers and plane equations are compared with the roof model dimensions. These parameters provide insights into the reliability of the point cloud data. The comparison shows the impact of flight speed and altitude on accuracy. While varying flight speed does not affect error measures, both speed and altitude significantly affect the number of collected points. Point coverage is concentrated near the top of the roof models, resulting in a calculated model volume that is only 50% of the expected value. Comparing the Random Sample Consensus (RANSAC)-derived plane equations with the roof model planes reveals that more points are collected above the roof model planes. The standard deviations of the inliers range from 0.011 m to 0.023 m, and the root mean square error (RMSE) ranges from 0.060 m to 0.019 m. These findings indicate the reliability of UAVs for monitoring steep and snow-covered areas without the need for reference points to correct positions.
ENHANCED HYBRID PATH PLANNING ALGORITHM BASED ON APF AND A-STAR
Authors: Abdel-Rahman A. S. , Zahran S. , Elnaghi B. E. , Nafea S. F.
Published: December 2023

Abstract. The use of robots had increased widely in various fields, such as air transport systems, search and rescue, and agriculture, necessitating the need for path planning and obstacle avoidance systems to ensure safe and autonomous navigation toward the intended goal. Many Path-planning techniques are used to guide the mobile robot toward its goal with an optimized path and time. Among these techniques, the Artificial Potential Field (APF) algorithm stands out as one of the effective approaches, capable of operating in both static and dynamic environments to achieve optimal path planning. The APF is built by fusing two forces that attract the robot toward a goal location and repulsive forces that repel the robot away from the obstacle. Despite its effectiveness, the APF algorithm faces a major challenge, which is falling into a local-minimum issue. This paper presents a hybrid approach that combines the modified APF algorithm global optimization capabilities with the A-Star path-planning technique's real-time adaptability to overcome traditional APF local minimum issues. The transition back and forth between the two algorithms where carried out by a manager that can determine the adequate algorithm to be used instantaneously. Several experiments are presented to demonstrate the hybrid algorithm's effectiveness in various environments. The results show that the enhanced APF reach an optimal path to goal 50% faster compared to A-star, and managed to get out of local minimum compared to traditional APF and find a path shorter than A-star.
TIME SERIES INSAR ANALYSIS FOR SLOPE STABILITY MONITORING USING SENTINEL-1 IN OPEN PIT MINING
Authors: Haupt S. , Engelbrecht J. , Sibolla B. , Mdakane L. W.
Published: December 2023

Abstract. Surface mining is an important economic activity in many regions where mineral resources are located close to the surface. The process of ore extraction is characterised by high pit walls with steep slopes. The mining process introduces significant stress and strain changes that could lead to movement on the slope face. Slope failure on the pit walls can occur without warning and can lead to loss of life and disruptions to the mining process. The monitoring of slopes remains the most reliable way to detect movement on unstable slopes. Therefore, slope monitoring programmes have been established to monitor and measure slope movement to help mine management with the stability status of open pit slopes. Conventional monitoring techniques include visual inspections and in situ instrumentation that are point-based, time-consuming, and costly. Open-source remote sensing techniques such as Synthetic Aperture Radar interferometry have been used to monitor slope movements on open-pit mine walls. Time series interferometric Synthetic Aperture Radar (InSAR) can be used to overcome limitations of in-situ monitoring for monitoring slope movements in open-pit mines.
Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions
Authors: Ebbehøj Kristian Ladefoged , Couturier Philippe Jacques , Sørensen Lars Morten , Thomsen Jon Juel
Published: December 2023

Abstract. Modal properties and especially damping of operational wind turbines can vary over short time periods as a consequence of environmental and operational variability. This study seeks to experimentally test and validate a recently proposed method for short-term damping and natural frequency estimation of structures under influence of varying environmental and operational conditions from measured vibration responses. The method is based on Gaussian Process Time-dependent Auto-Regressive Moving average (GP-TARMA) modelling, and is tested via two applications: a laboratory three-storey shear frame structure with controllable, time-varying damping, and a flutter test of a full-scale 7 MW wind turbine prototype, in which two edgewise modes become unstable. Damping estimates for the shear frame compare well with estimates obtained with Stochastic Subspace Identification (SSI) and standard impact hammer tests. The efficacy of the GP-TARMA approach for short-term damping estimation is illustrated through comparison to short-term SSI estimates. For the full-scale flutter test GP-TARMA model residuals imply that the model cannot be expected to be entirely accurate, but the damping estimates are physically meaningful, and compare well with a previous study. The study shows that the GP-TARMA approach is an effective method for short-term damping estimation from vibration response measurements, provided enough training data and a representative model structure.
A new methodology for upscaling semi-submersible platforms for floating offshore wind turbines
Authors: Roach Kaylie L. , Lackner Matthew A. , Manwell James F.
Published: December 2023

Abstract. This paper presents a new upscaling methodology for semi-submersible floating offshore wind turbine platforms. The size and power rating of offshore wind turbines have been growing in recent years, with modern wind turbines rated at 10–18 MW in contrast with 2–5 MW in 2010. It is not apparent how much further wind turbine size can be increased before it is unjustified. Scaling relations are a useful method for analyzing wind turbine designs to understand the mass, load, and cost increases with size. Scaling relations currently do not exist but are needed for floating offshore platforms to understand how the technical and economic development of floating offshore wind energy may develop with increasing turbine size. In this paper, a hydrodynamic model has been developed to capture the key platform response in pitch. The hydrodynamic model is validated using OpenFAST, a high-fidelity offshore wind turbine simulation software. An upscaling methodology is then applied to two semi-submersible case studies of reference systems (the Offshore Code Comparison Collaboration Continuation (OC4) 5 MW and the International Energy Agency (IEA) 15 MW). For each case study, the platform pitch angle at rated wind turbine thrust is constrained to a specified value. The results show that platform dimensions scale to a factor of 0.75, and the platform steel mass scales to a factor of 1.5 when the wall thickness is kept constant. This study is the first to develop generalized upscaling relations that can be used for other triangular semi-submersible platforms that have three outer columns with the turbine mounted at the center of the system. This is in contrast with other studies that upscale a specific design to a larger power rating. This upscaling methodology provides new insight into trends for semi-submersible platform upscaling as turbine size increases.
Արտաքին գոծոնների ազդեցությունը ՀՀ տնտեսական աճի և հարկային եկամուտների վրա / The Impact of External Factors on Economic Growth and Tax Revenues of RA
Authors: BEJANYAN HAYK , LEVONYAN SUREN , DAVTYAN KAMO , STEPANYAN ZHORA , PETROSYAN ANUSH
Published: December 2023

The purpose of the article is to identify the structure of RA economic growth and
external factors affecting economic growth and tax revenues and to evaluate their
impact.
The tasks of the work are to identify the range of external factors affecting
economic growth, identify external factors affecting the trend of tax revenues, and
evaluate their impact and transfer mechanisms using econometric models.
The analyses in the work were carried out using statistical and econometric
methods using the structural vector autoregressive model.
When evaluating the impact of external factors on the economic growth and tax
revenues of RA, external demand, supply and monetary policy shocks were considered
as the main external shocks.
As a result of the study, it will be revealed that the impact of external shocks on
the GDP spreads mainly through money transfers and trade leverage. Tax revenues
are also highly sensitive to external shocks. Tax revenues explain quite a small part of
the variation in GDP, and GDP accounts for about 14 percent of the variation in tax
revenues, from which it can be concluded that the impact of tax revenues on GDP is
weaker than the opposite effect.
Տնտեսական աճի և բնակչության զբաղվածության միտումների փոխառնչությունները Հայաստանի Հանրապետությունում / Correlations between the Economic Growth and Workforse Employment Patterns in the Republic of Armenia
Authors: HAKOBJANYAN ANNA
Published: December 2023

The objective of the scientific article is to identify the relationships between
economic growth and employment patterns within the Republic of Armenia.
To achieve the defined goal, the following tasks have been set: observe the
interactions between economic growth and employment within the Classical, Keynesian
and Institutional perspectives, analyze the relationships between economic growth,
population employment and investments from 2008 to 2021 in the Republic of Armenia,
and interpret the following results obtained from both classical and institutionalist
viewpoints, considering the indicators gathered in the context of research in RA.
The impact of economic growth on the employment level has been examined
through different economic paradigms. Within the framework of this scientific article the
dependence of the economic growth and employment was studied and distinguished
through Classical, Keynesian and Institutionalist theories.
Entre la realidad y la torre de marfil: la poesía de José de Siles (1856-1911)
Authors: Ocampos Palomar Emilio José
Published: December 2023

A finales del siglo XIX, en España, la escritura de los autores naturalistas y modernistas supera las formas románticas y se convierte en un reflejo de la crisis de la ideología burguesa. Un ejemplo de ello es la literatura del bohemio José de Siles (1856-1911), poeta al margen del canon literario. En el ensayo que sigue se analizan dos direcciones estéticas de la obra poética de José de Siles, la “escritura a pie de calle”, atenta a las miserias de las clases bajas, y la “escritura desde la torre”, detenida en la ensoñación y el refugio del arte, con el objetivo de darles un significado histórico. Así, se rescata la poesía de José de Siles, en tanto que poeta fuera del canon, para ayudar a componer un sistema histórico-literario y permitir que se comprenda mejor la figura del escritor finisecular en conflicto con la sociedad burguesa.
Fundamentos gnoseológicos y significación de América en la Carta abierta a Jacques Lipchitz y otros escritos de Juan Larrea
Authors: Aguirre Guillermo
Published: December 2023

El presente trabajo tiene por objeto el establecimiento de vínculos gnoseológicos en el ideario de Juan Larrea. A partir de una perspectiva filosófica y pneumatológica nos abriremos paso hacia el sentido que el poeta ofrece sobre el curso teleológico de la historia. Todo ello lo articularemos, una vez sentados los presupuestos gnoseológicos, en torno a la significación que Larrea concede a América en la Carta abierta a Jacques Lipchitz (1954). En ella Larrea expone la razón por la que considera que América es la tierra donde habrá de cristalizar el Tercer Reino. El poeta comprende que la revelación de un arte transparente, luminoso y de carácter disolutivo da testimonio de este curso teleológico.
Caracterización financiera de las economías solidarias mediante análisis de conglomerados. El caso del sector rural colombiano
Authors: De Jesús Rahmer Bruno , Garzón Saénz Hernando , Solana Garzón José
Published: December 2023

En el territorio colombiano, se vislumbra el surgimiento de entidades organizacionales circunscritas en el paradigma de las economías solidarias, que se erigen como un modelo alternativo semiformal que ostentan diferencias notables con respecto a los modelos convencionales de generación de valor. Estas entidades persiguen una estrategia de supervivencia a largo plazo y se cimentan en los pilares de la autogestión y el establecimiento de acuerdos horizontales. El propósito del presente artículo es llevar a cabo una caracterización y análisis exhaustivo del rendimiento global de 376 entidades ubicadas en el contexto rural colombiano. En la etapa ulterior de la investigación, se aplica un análisis de clúster con el fin de segmentar aquellas entidades que comparten atributos comunes, sentando así las bases para un análisis comparativo. Para ello, se emplea un conjunto de indicadores cuantitativos que permitirán evaluar los aspectos financieros y operativos de las entidades seleccionadas. Este marco analítico está fundamentado en las fuerzas de Porter, con el objetivo de obtener una aproximación panorámica acerca de los factores exógenos y endógenos que impactan en su desempeño. Los resultados revelan que los grupos de empresas hallados presentan diferencias notables en términos de liquidez, rentabilidad, eficiencia en la inversión, gestión operativa y capital de trabajo neto operativo.
Nociones sobre poder, política y participación en grupos de niños y niñas de educación primaria en Querétaro (México)
Authors: Westendarp Palacios Patricia
Published: December 2023

Los estudios sobre la política en la niñez se han centrado principalmente en la participación de niñas y niños en iniciativas promovidas por el mundo adulto y en su participación en actividades de organización y movilizaciones sociales. Esto limita entender la acción política de niñas y niños que no forman parte de estas iniciativas o contextos, al igual que invisibiliza la dimensión política de la vida cotidiana de las niñeces. Por lo que este artículo plantea una discusión respecto a los significados que niñas y niños asignan a los conceptos de política, poder y participación con la intención de indagar en otras formas de definir la política desde lógicas no- adultocéntricas y más allá de enfoques centrados exclusivamente en el Estado y la instrumentalidad. La producción de información se realizó a través de cuestionarios y dibujos con niñas y niños de una escuela pública primaria de la ciudad de Querétaro, México. La investigación contribuye a los estudios críticos de las niñeces al considerar sus posibilidades de acción política y al ser vistos como interlocutores válidos para dialogar temas y problemáticas sociales de interés común
Un acercamiento a la complejidad de las nociones de niño, niña e infancia en Colombia
Authors: Guerrero Alba Lucy , Bertoli Anny , Bácares Jara Camilo , Carreño Clara Inés , Aristizábal García Diana Marcela , Marín-Díaz Dora Lilia , Durán Strauch Ernesto , Schibotto Giangi , Amador Baquiro Juan Carlos , Torrado María Cristina , Celis Nadia , López-Ordosgoitia Rocío , Meneses Copete Yeison Arcadio
Published: December 2023

La idea de este artículo surgió a partir del Coloquio sobre Estudios de Infancia en Colombia, realizado en octubre del año 2022.  Durante este evento se evidenció una amplia diversidad de perspectivas y enfoques utilizados para abordar el tema de la infancia. En este contexto e inspirados en el trabajo previo de Tesar (2011), las y los organizadores del coloquio convocamos a varios investigadores e investigadoras para hacer parte de este experimento de escritura colectiva con la invitación a responder las siguientes preguntas: ¿Cómo se podría definir a los niños y niñas? y/o ¿Cómo se podría definir la infancia en el contexto colombiano? La invitación fue acogida por trece investigadoras e investigadores muy distintos que desde sus disciplinas, investigaciones, trayectorias personales y profesionales abordan —en alrededor de quinientas palabras— las nociones recién planteadas. El resultado es un escrito de autoría coral que intenta mostrar la variedad y la complejidad de lo que se entiende por niño, niña e infancia en Colombia.
Exploring the Nexus of Financial Technologies, Financial Inclusion, and Blockchain in Islamic Finance within Digital Transformation
Authors: Kanwal Amna , Tayyab Muhammad , Idrees Sadia
Published: December 2023

Financial technology and continuous digital growth are having an influence on financial inclusion which has significant ramifications for the faith-based financial paradigm. The objective of this research is to investigate the relationships and effects of financial technologies in Islamic financing inside financial institutions within the framework of digital transformation and blockchain technology. The use of these advancements will significantly affect Sharia-compliant Islamic finance. This paper critically investigates the historical and current implications of Financial Technologies, financial inclusion, and Blockchain in Islamic Finance worldwide with a focus on banking, investing, and compliance with regulations. Using a comprehensive review of the literature, indexing journals, and empirical case studies, this research seeks to provide significant new insights on the development and status of several areas within the Islamic financial industry. In order to make Sharia compatible, it also examines how digitalization has altered the landscape. Furthermore, before they can considerably promote financial inclusion in many countries, the Islamic financial services industry and the junction of technology and Islamic finance still have a ways to go due to the scale necessary. The study's findings may serve as a guide for financial institutions, decision-makers, and other interested parties in order to maximise the potential of blockchain technology and other financial innovations in Islamic finance across a range of Islamic nations. Long-term, equitable economic growth will result from this.
Breve biografia cultural do patrimônio científico-educativo: a fase mercantil dos aparelhos Bohnenberger e Odstrcil
Authors: Alcântara Wiara Rosa Rios , Palma Raquel Santos
Published: December 2023

O objetivo deste trabalho é abordar, a partir da perspectiva teórico-metodológica de biografia cultural das coisas de Kopytoff (1986), a fase mercantil de dois objetos científico- educativos que, adquiridos como recurso didático-pedagógico, fizeram ou fazem parte do patrimônio de instituições de ensino paulistas. Os dois objetos destacados, o aparelho de Bohnenberger e o aparelho de Odstrcil foram fabricados, respectivamente, por Paul Rousseau & Cie. e Max Kohl. Os objetos foram localizados, inicialmente, a partir de cartas, ofícios e inventários de bens da Escola Normal de São Paulo e do Colégio Marista Glória. A discussão está organizada em duas partes. Na primeira, empreende-se uma breve análise do aparelho de Bohnenberger, seguida de exposição sobre as instituições de ensino brasileiras que comercializaram com a Maison Paul Rousseau & Cie. Na segunda, o exame detém-se no aparelho de Odstrcil, com posterior observações sobre as instituições de ensino brasileiras que comercializaram com a Max Kohl. Como resultado, este artigo contribui para um maior conhecimento de objetos científico-educativos específicos que fizeram parte dos recursos didáticos empregados para o ensino de ciências naturais em instituições de ensino brasileiras, dando ênfase, todavia, não a fase pedagógica ou de patrimônio, mas a fase mercantil destes objetos. Isso para evidenciar distintas posições sociais que as coisas ocupam nas trajetórias de vida, nas histórias institucionais e sociais.
Arcybiskup Antoni Julian Nowowiejski biskup płocki (1858-1941)
Authors: Umiński Józef
Published: December 2023

Celem niniejszego artykułu jest przedstawienie życia i działalności  arcybiskupa Antoniego Juliana Nowowiejskiego, herbu Jastrzębiec, który jest jednym z tych rzadkich zwierzchników kościelnych, których działalność biskupia wypadła w miejscu, gdzie się kształcili i gdzie spędzili prawie całą przeszłość swoją przeszłość.
Arcybiskup gnieźnieński Mikołaj Dzierzgowski, prymas Polski (ok. 1430-1559)
Authors: Pociecha Władysław
Published: December 2023

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Stan szkolnictwa we Wrocławiu w drugiej połowie XIII wieku (powstanie pierwszej szkoły miejskiej)
Authors: Świerk Alfred
Published: December 2023

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DÜZCE İLİNDE GÖREV YAPAN HAKEMLERİN KARAR VERME STİLLERİNİN İNCELENMESİ
Authors: ALPER Rumeysa , KARAGÜN Elif , GÖRÜN Levent
Published: December 2023

Amaç: Bu araştırma, Düzce ilinde görev yapan hakemlerin karar verme stillerinin incelenmesini amaçlamaktadır.

Yöntem: Bu amaçla nicel araştırma yöntemlerinden biri olan tarama modeli kullanılmıştır. Araştırmanın evrenini Düzce ilinde görev yapan farklı branş ve klasmanlardaki hakemler oluşturmaktadır. Araştırmanın örneklemini ise Düzce ilinde görev yapan ve araştırmaya gönüllü katılım sağlayan 122 hakem oluşturmaktadır. Veri toplama aracı olarak katılımcılarının kişisel bilgilerini içeren Kişisel Bilgi Formu ve Melbourne Karar Verme Ölçeği I-II kullanılmıştır. Ölçeğin birinci kısmı karar vermede öz saygıyı, ölçeğin ikinci kısmı ise karar verme stillerini ölçmektedir.

Bulgular: Bulgular normal dağılıma uymaları nedeniyle ortalamalarını demografik değişkenler açısından analiz edebilmek için; iki bağımsız grubu karşılaştırmak için Mann Whitney-U, ikiden fazla bağımsız grubu karşılaştırmak için ise Kruskal Wallis testlerinden yararlanılmıştır.

Sonuç: Elde edilen bulgular incelendiğinde, eğitim düzeyi, aylık gelir, hakemlik harici meslek, sporculuk geçmişi ve internet kullanım süresi değişkenlerinde anlamlı farklılıklar olduğu görülmüştür.

Anahtar Kelimeler: karar verme, hakem, karar verme stilleri, klasman
НЕКОТОРЫЕ АСПЕКТЫ ТЕРАПЕВТИЧЕСКОЙ ТАКТИКИ ПРИ ЛЕЧЕНИИ ПАРВОВИРУСНОГО ЭНТЕРИТА У СОБАК
Authors: Mkrtchyan A.R. , Sukiasyan K.A. , Nikoghosyan E.A. , Mkrtchyan S.A.
Published: December 2023

In comparison with other infectious diseases of dogs, parvovirus enteritis is quite common. The infection is periodically detected in animals in veterinary clinics. Observations have shown that unvaccinated puppies of 3-4 months are more often admitted to the clinic with parvovirus enteritis. In contrast to the 70 % rate indicated in the literature, the mortality rate among sick dogs reaches 50 to 93.3 %. Parvovirus enteritis can be treated with specific immune serums alongside symptomatic and pathogenetic therapies which increases the treatment efficiency up to 25 %. Additionally the combined use of immune serums and dexamethasone along with the described preparations – up to 50 %, which indicates the need for long-lasting use of glucocorticoids to increase adaptive functions of the body in dogs with parvovirus enteritis.
ԽԱՂՈՂԻ ՉԱՐԵՆՑԻ ՍՈՐՏԻ ՏԵԽՆՈԼՈԳԻԱԿԱՆ ԳՆԱՀԱՏԱԿԱՆԸ ՎԱՐԴԱԳՈՒՅՆ ԳԻՆԻՆԵՐԻ ԱՐՏԱԴՐՈՒԹՅԱՆ ՀԱՄԱՐ
Authors: Vardanyan M.R. , Mikayelyan M.N. , Miranyan M.G.
Published: December 2023

In the field of agroindustry, the most attention is paid to the development of ecofriendly technologies, which allow to improve the efficiency of natural resources in sustainable agriculture, preserving the environment, as well as to obtain highquality, environmentally friendly, and safe products. Currently, organic viticulture and biodynamic winemaking are rapidly developing and demanding areas of winemaking. In light of these factors, it makes sense to cultivate grape varieties that are resistant to cold, fungal diseases, and pests (in particular, the Charentsi variety). Under different conditions, the microbiological state, physicochemical parameters, organic acids content, and color characteristics of Charentsi grapes were examined. We studied the physicochemical parameters of wines made by using different methods. The possibility of making ecologically clean rosé wines from this grape variety was assessed, using it as a raw material.
Communication Strategy of the Sumatera Utara Regional Police Traffic Directorate in Disseminating E-Ticket in Medan City, Sumatera Utara Province, Indonesia
Authors: Kumbara Dio Yassa , Kurniawati Dewi , Zulkarnain Iskandar
Published: December 2023

The purpose of this research is to analyze communication strategy of the Sumatera Utara Regional Police Traffic Directorate in disseminating e-ticket in Medan City, Sumatera Utara Province, Indonesia. This research uses a qualitative approach. The data collection techniques used in this research used in-depth interview techniques, observation, and documentation. The informants in this research are four people who were directly involved and fully involved in the implementation of the socialization of the e-ticket communication strategy. For the validity of the data in this research, two source triangulation informants are used from outside the police agency. The data analysis technique used is interactive model analysis. The results of this research show that communication strategy that occurs in the e-ticket socialization program in Medan City begins with planning, then implementation and evaluation. The communication barriers found in this research are physical barriers, frame of mind barriers, and cultural barriers.

Keywords: Communication Strategy, Physical Barriers, Frame of Mind Barriers, Cultural Barriers
Exploring Pandemic, Research, and Data - Unveiling Solution Tourism for the Future
Authors: Rianty Rilla , Arafah Willy , . Nurbaeti
Published: December 2023

Despite the waning of the COVID-19 pandemic, its lingering effects continue to hinder the recovery of the global tourism industry. It has prompted the Indonesian government to implement a framework for navigating the evolving "new normal" era and ensuring its long-term sustainability. This initiative aims to revive the tourism industry through a post-pandemic strategic plan. This study examines the development of short-medium-long term tourism trends based on research and data from a review of 32 pieces of literature that describe tourism conditions before, during, and after COVID-19. These findings emphasize the importance of reforming and adapting tourism development plans, focusing on resilience, adaptation, and sustainability. The main areas include understanding alterations in tourist conduct due to the pandemic, which has resulted in travel trends leading to destination bubbles with the concepts of quality tourism and digital nomads. So, guidance is needed for human resources and strengthening the supply and demand aspects of the tourism industry. The government must also improve the pentahelix collaboration strategy to optimize tourism expansion, which continues to grow.

Keywords: Resilience, Travel Bubble, Destination Attributes, Risk Perception, Tourist Behavior, Quality Tourism, Digital Nomad