bluuebunny/crossref_metadata_2025 huggingface dataset:
A GEO-DATABASE FOR 3D-AIDED MULTI-EPOCH DOCUMENTATION OF BRIDGE INSPECTIONS
Authors: Gaspari F. , Barbieri F. , Duque J. P. , Fascia R. , Ioli F. , Zani G. , Carrion D. , Pinto L.
Published: December 2023

Abstract. The recent collapse of bridges in Italy has prompted numerous studies on monitoring and maintenance. Many structures in Italy have been in service for over 50 years, necessitating new approaches to ensure their safety. To address this issue, Italy's Consiglio Superiore dei Lavori Pubblici (Superior Council of Public Works) has developed the Guidelines for Risk Classification and Management, proposing a multi-level approach to bridge management within a complex geomorphological environment. The guidelines outline a multi-level process that includes surveying the structures, conducting detailed inspections, and assigning risk classes based on hazard, exposure, and vulnerability. Current inspection processes are time-consuming and costly. Therefore, alternative monitoring technologies are crucial. Unmanned aerial vehicles equipped with cameras, laser technologies, and GPS systems offer flexible and cost-effective solutions for visual inspection. These technologies enable the collection of both quantitative and qualitative data, such as size, material properties, and overall condition. In this context, efficient data management and exploration systems are necessary to handle the vast amount of geo-referenced information. Multi-epoch databases play a crucial role in documenting the conditions of bridges and supporting a maintenance and structural health monitoring workflow. These databases can be utilized within a Bridge Management System to aid road managers in decision-making processes. Additionally, 3D exploration platforms provide visual analysis and highlight areas of interest within the structure. This work presents a multi-epoch geo-database that adheres to the Italian guidelines, offering optimized data management and queryability for 2D and 3D information. The entire process is designed using open-source and reproducible solutions.
FILAMENT EXTRACTION IN 3D PRINTING OF SHOTCRETE WALLS FROM TERRESTRIAL LASER SCANNER DATA
Authors: Mawas K. , Maboudi M. , Gerke M.
Published: December 2023

Abstract. This paper presents a method for filament extraction as a step in Shotcrete 3D printing (SC3DP) for quality control using Terrestrial Laser Scanning (TLS) after the printing process. The proposed approach involves comparing a Point Cloud (PC) generated from TLS data with the original design model using Cloud-to-Model (C2M) distance to obtain a coloured deviation map. This deviation map is then rasterized into an image with the same size as the object, with each pixel's colour representing the C2M distance. The method incorporates denoising techniques, such as bilateral filtering, and applies Canny edge detection to identify the filaments’ contour. Morphological operations are used to extract only the horizontal edges relevant to the planned printing path. To connect isolated edges, an algorithm based on the M-estimator sample consensus (MSAC) algorithm is employed to fit lines accurately. The proposed method achieves an average precision score of 76% in detecting printing filaments of a shotcrete wall. The results demonstrate a reliable quality control capability and the potential for early identification of manufacturing-related issues.
HOW AIR QUALITY AFFECTS HUMAN MOBILITY PATTERNS: AN EXPLORATORY ANALYSIS
Authors: Xu S. , Zhao Y. , Li S.
Published: December 2023

Abstract. Air quality acts as an important factor that human may consider as they make decisions on when and where they would go. In order to access how much the air quality affects human mobility patterns, the air quality was measured using air quality index (AQI) and human mobility patterns were measured by travel volume and travel distance of shared bikes. Their correlation that presents on weekdays and weekends as well as in different administrative districts were investigated using Spearman correlation analysis method. A case study was conducted in Beijing, China using bike sharing data and air quality data ranging from May 10 to 16, 2017. The results show that travel distance is more sensitive to air quality on weekdays such as Changping District (−0.20), Haidian District (−0.13), Shunyi District (−0.12). The travel volume on weekdays is less sensitive to air quality due to commuting. The travel volume has a negative relationship with AQI on weekends. Fengtai District, Huairou District, Pinggu District are more susceptible to severe air quality, leading to a reduction in bike traveling distance. This work sheds light on understanding human-environment coupling mechanism and promoting urban sustainable development.
IMPACTS OF GEOSPATIAL FACTORS ON VILLAGE SITE SELECTION ALONG THE GREAT WALL WATCHTOWER BASED ON LOGISTIC REGRESSION: A CASE STUDY IN GUBEIKOU SECTION, BEIJING, CHINA
Authors: Yang T. , Guo X. , Jiang J.
Published: December 2023

Abstract. The Great Wall was listed as a World Heritage Site in 1987. In recent years, the Chinese government placed significant emphasis on the preservation of the Great Wall and its invaluable resources. However, it remains challenging to quantitatively analyze the impact of multiple factors and further identify the Great Wall resource sites. In this paper, a spatial quantitative analysis framework with binary logistic regression is implemented for the impact factors of village site selection along the Great Wall watchtowers. Elevation, slope, orientation, water distance, road distance, distance-to-watchtowers were selected as candidates. 177 villages were analyzed, and the model calculation was assessed with the confusion matrix and ROC curve. Youden index is used to determine the optimal threshold for the uncertain villages, subsequently. And we classified villages into three categories: villages with strong, medium and weak relevance with Great Wall resource sites. Experimental results show that the strong and medium relevance villages accounted for 68.36%. These villages are primarily located in the central part of the study area, characterized by flat terrain and closely aligned with the road network. Village density decreases with distance from the watchtowers. Additionally, out of the 40 uncertain villages, 5 were confirmed as villages while the remaining were classified as non-villages. The conclusions of this study can serve as a reference for evaluating and predicting suitable conservation and planning initiatives for the Great Wall and its surrounding villages in the future.
ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF LAND SUBSIDENCE IN MUDSLIDES REGION THROUGH INSAR AND RAIN DATA
Authors: Bettio A. , Sansone F. , Francesconi A.
Published: December 2023

Abstract. Mudslides are powerful and fast-moving mass movements that pose significant risks to human lives, infrastructure, and natural environments. They are commonly triggered by intense rainfall and their impact is particularly severe in mountainous regions. Synthetic Aperture Radar (SAR) technology can be used to calculate the subsidence of the territory over time by means of a temporal series of SAR images through the Persistent Scatterer Interferometry (PSI) technique. In some research Interferometric SAR (InSAR PSI) data were used to train Long Short-Term Memory (LSTM) based Artificial Neural Network (ANN) to provide movements forecasting. This paper proposes a new LSTM based ANN to forecast future territory movements considering both the past InSAR PSI data, the rain forecasting of the next acquisition and the past cumulative amount of rain since the movements of mudslides are strictly dependent to the quantity of rainfall accumulated in the terrain. The results of the proposed ANN are shown in terms of Mean Square Error (MSE) and Mean Absolute error (MAE) by comparing them with a LSTM-based ANN trained with only the InSAR PSI data.
THE OUTCOMES OF APPLYING SMART GREEN PORT CONCEPT IN EGYPTIAN PORTS (CASE STUDY: ALEXANDRIA PORT)
Authors: Elhussieny M. , Arafat O. , El Kassar A.
Published: December 2023

Abstract. The awareness of preserving the environment and the tendency to apply the concept of "smart" and "green" ports have increased during the last decade of the twenty-first century to prevent further pollution, whether inside the ports or in the hinterland. The researchers studied the experiences of several ports in the field of environmental preservation and transformation into smart green ports and achieved real environmental protection using modern technological techniques. Researchers studied the current environmental situation of Alexandria port and conducted a comparative study with several international ports to identify the gap that needed to be filled to reach a set of practical proposals for an actual application of the concept of smart green ports in Alexandria port. Sustainability is no longer a luxury but rather a strategic issue as the shipping industry has moved in the direction in recent years and has begun to take advantage of geospatial data and artificial intelligence to achieve the goal of a green port. Geospatial technology tools can be used in smart green ports in various ways to improve efficiency, safety, and sustainability.This paper explores the use of geospatial technology tools in smart green ports to improve efficiency, safety, and sustainability. The paper discusses various ways in which geospatial technology tools can be employed, including real-time tracking of vessels, optimizing berth allocation, monitoring air and water quality, managing waste, predicting maintenance requirements, and planning emergency response procedures. By leveraging these tools, ports can reduce their environmental impact and improve their overall performance. The paper concludes that geospatial technology tools have significant potential for enhancing the efficiency and sustainability of Smart green ports.
CO-SEISMIC LANDSLIDE BASED VALIDATION OF SUSCEPTIBILITY MAPPING AFTER KAHRAMANMARAS EARTHQUAKES (FEB 6, 2023) IN AMANOS MOUNTAINS
Authors: Karakas G. , Unal E. O. , Tunar Ozcan N. , Cetinkaya S. , Can R. , Gokceoglu C. , Kocaman S.
Published: December 2023

Abstract. The quality of landslide susceptibility maps is often assessed using a part of learning data that represents geographical and land use characteristics over a quasi-fixed time. However, when validated with multi-temporal landslide inventories, more realistic insights on the susceptibility maps can be obtained. In addition, extreme events may trigger landslides in regions which are not considered as landslide-prone. The February 6, 2023, Kahramanmaras Earthquakes (Mw 7.7 and Mw 7.6), also known as the disaster of the century, triggered numerous landslides. Amanos Mountains located in southern Türkiye were also within the earthquake-affected area and had a very small amount of inventory recorded in official databases. The aim of this study was to evaluate the performance of the random forest method for producing landslide susceptibility maps. The official inventory of General Directorate of Mineral Research and Exploration (MTA) was used for map production. The resulting susceptibility map was assessed using the co-seismic landslide inventory produced in the study. The model’s performance evaluated using a part of the learning data yielded high accuracy expressed with area under receiver operating characteristics curve (AUC), precision, and recall values and F1 score using (AUC = 97%, recall = 97%, precision = 96%, F1 = 98%). However, multi-temporal evaluation with co-seismic landslides showed that 80% of the landslide pixels with moderate, high, and very high susceptibility levels could be predicted with the model. The results suggest that special attention should be given to features underrepresented in the inventory, such as low altitudes and types of lithology.
USING GEO-SPATIAL DATA AND DATASET FOR CROPLAND MONITORING IN DARKHAN-UUL AND SELENGE PROVINCES, MONGOLIA
Authors: Lkhamjav O. , Uyanga B. , Bilguun U. , Uuriintsolmon E. , Ariunbold E. , Khaulanbek A. , Delgertsetseg R. , Solongo Ts.
Published: December 2023

Abstract. The central agricultural region is relatively pleasant in terms of nature and climate of our country, and due to the use of land for multiple purposes, the ecological status of the land has been greatly changed. It is necessary to use many types of layered data and use many types of thematic image results in agricultural monitoring and research, which is a necessary land use. These data will be carried out by various branches of research, and the modelling of each data into a unified database with geographical connections will allow for integrated evaluation and thematic drawing, and the use of geo-spatial analysis decision-making system is required. The purpose of this work is to carry out agricultural land monitoring research using remote sensing methods and advanced technology, to develop a unified methodology, to enrich the data of the points of the monitoring network database, to create an interdisciplinary geo-database, and to develop recommendations for further measures to be taken. It will cover 304,000 hectares of 17 soums of Selenge province and 36,000 agricultural lands of 3 soums of Darkhan-Uul province. A geodatabase was created for the monitoring survey of agricultural land, and a map and route for the field survey was prepared before starting the field survey. The database includes 21 sub-district boundaries, team boundaries and agricultural monitoring points, cadastral data of cultivated and agricultural land, agricultural soil data, satellite data and topography data.
EFFECT OF THE DELAY IN THE REPORTS OF COVID-19 CASES ON NEAR REAL-TIME CLUSTERS DETECTION
Authors: Mas J-F. , Pérez Vega A. , Ghilardi A.
Published: December 2023

Abstract. The COVID-19 pandemic has strongly impacted the vast majority of countries in the world. As of today (April 12th, 2023), more than 762 million confirmed cases and nearly 6.9 million deaths are considered widely underestimated. During a pandemic, detecting clusters of patients is crucial to allocate resources and aiding decision-making better as emergent outbreaks continue to grow. However, delays in reporting suspected or confirmed cases can affect the detection of clusters in near real-time. This study aimed to assess whether the delays in reporting COVID-19 in Mexico presented specific Spatiotemporal patterns and whether they significantly affected the detection of clusters. To do this, we used the daily records of the Mexican Ministry of Health for three dates at the beginning and during the increase in cases of the fourth wave (January 2022). We compared the clusters obtained using the data available on the same date and during the following days, including delayed data. We carried out cluster detection using the flexible spatial scan statistic (FlexScan) on the R platform. The results indicate that the spatial distribution of delays was heterogeneous and that delays affect cluster detection.
CREATING A LAND SUITABILITY INDEX FOR THE NEW PRIORITY HUMAN SETTLEMENTS & HOUSING DEVELOPMENT AREAS: A FOCUS ON EKURHULENI, SOUTH AFRICA
Authors: Mokoena B. T. , Musakwa W. , Makoni E. N.
Published: December 2023

Abstract. Spatial transformation has been a challenge since the dawn of South Africa’s democracy in 1994. The spatial form throughout the country was designed in a racially segregative manner which led to a change in policy over the years to make meaningful efforts to transform this narrative through various strategies. Recently, the Human Settlements Department designated specific areas for developing subsidised low-cost housing to address the housing backlog in South Africa as well as channel development in these priority areas. While this may be progressive it is however unknown how much of this land located within the Priority Human Settlement Priority and Housing Development Areas (PHSHDA’s) is developable and how much of it is state owned and therefore making it readily available. This study investigates the City of Ekurhuleni as a study area, which has approximately 160 000 households living in informal settlements that need to be housed. Using Evidence-Based Planning, the Multi-Criteria Decision Analysis and the Analytical Hierarchy Process (AHP) were employed to develop a Planning Support System to determine land suitability within the PHSHDA in the City of Ekurhuleni, in South Africa. The results indicate that only 33% of the land located within the PHSHDA is highly suitable for housing development, with 23% moderately suitable, 21% marginally suitable, and 23% unsuitable for housing development. The results also indicate that 35% of the vacant land owned by the City of Ekurhuleni is located on highly suitable land within the PHSHDA.
A DRONE SYSTEM FOR AUTONOMOUS MAPPING FLIGHTS INSIDE A FOREST – A FEASIBILITY STUDY AND FIRST RESULTS
Authors: Karjalainen V. , Hakala T. , George A. , Koivumäki N. , Suomalainen J. , Honkavaara E.
Published: December 2023

Abstract. In recent years, drones have gained wide popularity in forest research and operational applications. Over the forest canopy, where Global Navigation Satellite Systems (GNSS) are available, the flights are already highly automated. However, under the canopy of dense forests, the flights still need active manual control by a human pilot due to missing GNSS signal and obstacles. The objective of this study was to design and implement a prototype of a drone autonomously flying inside a forest for future boreal forest research purposes by utilizing open-source algorithms. Based on a literature survey, EGO-Planner-v2 with VINS-Fusion localization and stereo-depth camera-based mapping was chosen as the base of the implemented prototype. The algorithms were first tested in a simulator and later a custom drone hardware was built to evaluate the performance and suitability in real boreal forest environments. The evaluation criteria for the performance were the success of the mission, the reliability of the obstacle avoidance, and the accuracy of the localization. Based on the results, the performance of the prototype was promising, but in dense forests, the sensing of small needleless branches and leafless understory vegetation needs to be improved to increase reliability. In a dense spruce forest, nine of 19 test flights were successful, when approximate flight distances varied between 35 m and 80 m. In the longest of those test flights, the error of the VINS-Fusion estimate of the trajectory length was approximately 1 m.
AN UNMANNED AERIAL SYSTEM FOR ON-THE-EDGE TRAFFIC MONITORING IN WORK-ZONE APPROACH AREA
Authors: Martínez-Sánchez J. , Conde Morales D. , Novoa S. , Arias P.
Published: December 2023

Abstract. Maintenance works are crucial to improve the reliability and resilience of road infrastructure but, despite efforts to achieve a safer operation, work zones are still risky areas where 4% of all road accidents occur. The main factors that increase the risk during maintenance include the proximity to live traffic, inadequate warning signs and driver behaviour. Intelligent Transportation Systems and their supporting technologies including sensors, data processing and analysis have been beneficial for increasing road safety.In this work, we present the design of a context awareness approach based on an Unmanned Aerial System aimed to detect inadequate speed of incoming traffic approaching to a work zone and to raise warning alerts. To accomplish this objective, an optical payload carrying an on-the-edge analysis system based on deep learning tracking was developed and tested. Preliminary results show the potential of the design to achieve near real-time operation preserving a mean Average Precision similar to that obtained with more complex architectures.
INTERACTIVE CAPTURE AND LABELLING OF POINT CLOUDS WITH HOLOLENS2 FOR SEMANTIC SEGMENTATION
Authors: González V. , González-Collazo S. M. , Balado J. , Fernández A. , Díaz-Vilariño L.
Published: December 2023

Abstract. Low-cost capture systems allow faster data acquisition compared to other systems, although obtained resolution is lower. These systems can be used to acquire low-quality point clouds to classify with simple segmentation algorithms. In this work, we use Microsoft HoloLens 2 sensors to scan indoor 3D environments and hand tracking to position label tags that will support the point cloud segmentation based on heuristic algorithms. Thus, from each tag, several algorithms have been designed to segment doors, windows, columns, walls, ceilings, and floors. The method was tested on 3 real case studies, obtaining F1-Score between 0.61 and 0.96 depending on the object class. These results reinforce the idea that, by combining Mixed Reality with basic point cloud processing algorithms, low-quality point cloud data can be correctly processed without resorting to complex Artificial Intelligence techniques and without labelling large amounts of samples.
A FUZZY MEASURE THEORY BASED PROBE INTO A SPATIAL VARIATON ON SURFACE TEMPERATURE OVER INDIA
Authors: Devi R. R. , Chattopadhyay S.
Published: December 2023

Abstract. This study used time series and fuzzy measures to comprehend the surface temperature over Northeast India (NEI), Northwest India (NWI), and Central India (CI). We presented a technique for calculating the uncertainty surrounding surface temperature data related to the Indian summer monsoon from 1901–2007. We utilized the Dempster-Shafer Theory to produce belief measures once the random variables had been standardized. We used two judging criteria and derived the joint belief measures for all the cases. This approach gave us some insight into the uncertainties associated with the three-time series taken from three spatially separated zones. It was confirmed that the strength of the evidence across a longer time horizon is a more predictable parameter.
THREE-DIMENSIONAL DEEP LEARNING FOR LEAF-WOOD SEGMENTATION OF TROPICAL TREE POINT CLOUDS
Authors: Van den Broeck W. A. J. , Terryn L. , Cherlet W. , Cooper Z. T. , Calders K.
Published: December 2023

Abstract. Terrestrial laser scanning (TLS) has emerged as a valuable technology for forest monitoring, providing detailed 3D measurements of vegetation structure. However, the semantic understanding of tropical tree point clouds, particularly the separation of woody and non-woody components, remains a challenge. Therefore, this paper addresses the gaps in both (1) data availability and (2) knowledge regarding the potential of 3D deep learning algorithms for leaf-wood segmentation of tropical tree point clouds. First, we contribute a new dataset consisting of 148 tropical tree point clouds with manual leaf-wood annotations. Second, we present initial results using the RandLA-Net 3D deep learning architecture to establish a benchmark on our dataset, achieving a mean intersection over union (mIoU) of 86.8% and overall accuracy of 94.8%. Visual inspection of predictions reveals areas of confusion and indicates applicability across different forest types. Our study demonstrates the potential of 3D deep learning for leaf-wood segmentation in tropical tree point clouds and highlights avenues for future research, including exploring different architectures and investigating the influence of prediction errors on volumetric tree reconstruction.
3D POINT CLOUD COMPLETION USING TERRAIN-CONTINUOUS CONSTRAINTS AND DISTANCE-WEIGHTED INTERPOLATION FOR LUNAR TOPOGRAPHIC MAPPING
Authors: Xu S. , Huang R. , Xu Y. , Ye Z. , Xie H. , Tong X.
Published: December 2023

Abstract. Stereo vision has been proven to be an efficient tool for 3D reconstruction in lunar topographic mapping. However, point clouds reconstructed from pairs of stereo images always suffer from occlusions and illumination changes, especially in Lunar environments, resulting in incomplete geometric information. 3D point cloud completion is usually required for refining photogrammetric point clouds and enabling further applications. In this work, we address the problem of completing and refining 3D photogrammetric point clouds based on the assumption that 3D terrain should be continuous and with consistent slope change. We proposed a generalized strategy for 3D point cloud completion of lunar topographic mapping, including distance-weighted point cloud interpolation, terrian-continuous constrained outlier detection, and contour-based hole filling. We carried out experiments on two datasets of point clouds generated from 12 pairs and 6 pairs of stereo LROC NAC images covering the Apollo 17 and the Chang’E-4 landing sites, respectively. As a result, the holes in the initial DTM have been smoothly filled and the completeness of the whole DTM has been greatly improved. The incomplete area of the experimental areas has dropped by 100% and 93%, respectively. Finally, we constructed DTM with a resolution of 10 m covering a 33 km × 60 km area of the Apollo 17 landing site with RMSE of 4 m and a 12 km × 56 km area of Chang’E-4 landing site with RMSE of 4 m compared with LOLA laser points as a reference.
MFSCNN: APPENDING A MASKED BRANCH TO FAST-SCNN TO IMPROVE ROAD MARKING EXTRACTION ON SPARSE MLS POINT CLOUD-DERIVED IMAGES
Authors: Lagahit M. L. R. , Matsuoka M.
Published: December 2023

Abstract. With the rise of self-driving cars, an increasing number of vehicles are equipped with low-cost light detection and ranging (LiDAR) sensors that could potentially serve as a massive mobile mapping resource, particularly for jobs that require multiple and frequent scanning, such as maintaining dynamic high-definition maps or digital twins. However, low-cost LiDAR sensors produce sparser point clouds during scanning which can make deep learning techniques for the automatic retrieval of features difficult like extracting road markings. In this work, we aim to improve the performance of a convolutional neural network (CNN) model for road marking extraction from sparse mobile LiDAR scanning (MLS) point cloud-derived images. We propose the modification of the Fast-SCNN model structure by adding a 2D convolution branch with masking in the feature fusion step: MFSCNN. To retain speed we only use MFSCNN to boost model training and still utilize Fast-SCNN for inference. Our results indicate potential, with a 4.6% increase in mean f1-score and an 8% decrease in uncertainty for the road marking class after multiple trials. Additionally, this research aims to support and increase research interest in lower-cost LiDARs for mobile mapping.
SUITABILITY AND CHALLENGES OF OPEN MAPS FOR EUROPE DATA FOR CREATING A GENERAL PURPOSE SMALL-SCALE MAP OF CROATIA
Authors: Kuveždić Divjak A. , Kević K. , Viličić M. , Hlatki V.
Published: December 2023

Abstract. The adoption of the Open Data Directive in 2019 compelled the launch of the Open Maps for Europe project, aiming to provide accessible and harmonized geospatial data from over 40 European countries. This research investigates the suitability of Open Maps for Europe data for creating a general purpose small-scale map of Croatia. The study applies digital cartographic procedures to produce the map, while assessing data quality and fitness for this task. The methodology for map creation involved seven key steps: (1) extracting data from the 1:250,000 scale EuroRegionalMap dataset, (2) performing geometric, topological, and attribute conversions, (3) applying cartographic generalization to adapt the map content to a 1:500,000 scale, (4) conducting data quality checks, (5) addressing exceptions, (6) symbolizing and placing names, and (7) designing a printable map. The resulting general-purpose map of Croatia at a 1:500 000 scale demonstrates that Open Maps for Europe data is generally suitable for map creation at this scale. However, challenges such as data heterogeneity among countries, data gaps in certain areas, inappropriate levels of generalization, and disordered geometry may arise. The map created should be considered an intermediate, rather than a reliable and trustworthy final product since rigorous quality control measures should be undertaken to produce the final map.
Co-registration and residual correction of digital elevation models: a comparative study
Authors: Li Tao , Hu Yuanlin , Liu Bin , Jiang Liming , Wang Hansheng , Shen Xiang
Published: December 2023

Abstract. Digital elevation models (DEMs) are currently one of the most widely used data sources in glacier thickness change research, due to the high spatial resolution and continuous coverage. However, raw DEM data are often misaligned with each other, due to georeferencing errors, and a co-registration procedure is required before DEM differencing. In this paper, we present a comparative analysis of the two classical co-registration methods proposed by Nuth and Kääb (2011) and Rosenholm and Torlegard (1988). The former is currently the most commonly used method in glacial studies, while the latter is a seminal work in the photogrammetric field that has not been extensively investigated by the cryosphere community. Furthermore, we also present a new residual correction method using a generalized additive model (GAM) to eliminate the remaining systematic errors in DEM co-registration results. The performance of the two DEM co-registration methods and three residual correction algorithms (the GAM-based method together with two parametric-model-based methods) was evaluated using multiple DEM pairs from the Greenland Ice Sheet and mountain glaciers, including Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) DEMs, ZiYuan-3 (ZY-3) DEMs, the Shuttle Radar Topography Mission (SRTM) DEM, and the Copernicus DEM. The experimental results confirm our theoretical analysis of the two co-registration methods. The method of Rosenholm and Torlegard has a greater ability to remove DEM misalignments (an average of 4.6 % and 13.7 % for the test datasets from Greenland Ice Sheet and High Mountain Asia, respectively) because it models the translation, scale, and rotation-induced biases, while the method of Nuth and Kääb considers translation only. The proposed GAM-based method performs statistically better than the two residual correction methods based on parametric regression models (high-order polynomials and the sum of the sinusoidal functions). A visual inspection reveals that the GAM-based method, as a non-parametric regression technique, can capture complex systematic errors in the DEM co-registration residuals.
Use of Libraries for Accessing the E-Resources by the Faculty Members of the Medical Colleges of the Deemed Universities in Karnataka
Authors: Naik H. Sathish , S. Padmamma
Published: December 2023

The present study examines the existence of various e-resources and their use in Medical colleges of Deemed University Libraries in Karnataka. For this study the researcher has adopted questionnaire method and the collected data is analysed by simple statistics and is presented in tables consisting of frequencies and percentages. The Study also highlights the preference and importance of e-resources among the faculty members. Besides, it aims to highlights the problems encountered while using the e-resource and suggest some remedial measures for its improvements. It is observed from the study that class room/teaching work is the prime purpose of using e-resources, followed by curriculum design and reading/writing research paper.
Factors Influencing Career Advancement Activities of Women Library Professionals in Universities of Kerala: A Study
Authors: A. R. Dhanyasree  , B. Mini Devi
Published: December 2023

The present study is aimed to examine the factors influencing the career advancement activities of women library professionals. It encompasses two universities ie, Kerala University and Mahatma Gandhi University. The population consists of women library professionals are permanently working in these Universities. About 78 permanent women library professionals are working in these Universities, Data is collected using a structured questionnaire. The questionnaire is distributed among 68 respondents out of which 62 were returned. The analysis is conducted by SPSS. Factors such as the professional, personal, the influence of professional associations, influence of ICT & social media, barriers faced on career progression were analyzed. The study revealed that professional factors & ICT were positively influenced the women library professionals career advancement activities. Gender discrimination is the main obstacle faced in career progression activities.
Research Productivity of Life Sciences from 2014-2016: A Scientometric Study through Web of Science Database
Authors: A. Narendra  , B. U. Kannappanavar
Published: December 2023

This paper attempts to analyse quantitatively the growth and development of ‘Life Sciences’ research publication output as reflected in the Web of Science (WOS) database from 2014 to 2016. A total of 9941 papers published by the researchers in the Research areas Life Sciences. The Year wise analysis shows that Life Sciences reflected with 3313 papers per year. In the year 2016 topped with 3824 publications and the lowest were in the year 2014 with 2711 publications. The trend shows that Life Sciences Research productivity has gradually increased. Science Technology and other topics topped with 672 documents (6.72%) published, most of them are Journal article as document type with 7395 (74.39%) and the most preferred source is Co Charane Database of Systematic Reviews 215 (2.16%) to publish. The country-wise distribution shows that the USA ranked topped with 3151 (31.70%) publications. India published 242 (2.43%publications with 13th position). Among the authors, a total of 31 records published without the author name mentioned with Anonymous. Guruwwamy K S ranked first and published 25 articles, Davidson B R with 19 and Liu Y with 17. So many organizations/Institutions have published the articles in Life Sciences. Harvard University has published 131 (1.32%), followed by UCL 101 (1.02%), University Toronto 97 (0.98%) and so on.
El quiasmo no ontológico de la carne. El enfoque de la subjetividad en las investigaciones tardías de Michel Foucault y su relación con Merleau-Ponty
Authors: Colombo Agustín
Published: December 2023

¿De qué manera el problema de la carne permite analizar el vínculo que tiene el pensamiento de Foucault con el de Merleau-Ponty? Al igual que Merleau-Ponty, Foucault piensa la carne en un modo susceptible de ser comprendido en términos de “quiasmo”. Sin embargo, a diferencia de Merleau-Ponty, la carne en las investigaciones de Foucault designa más bien un quiasmo no ontológico de la subjetividad que ilustra las dinámicas por las cuales esta es constituida y, al mismo tiempo, se constituye a sí misma en la historia. De este modo, la carne aparece como un motivo o un tema clave que permite repensar la evolución de la crítica de la subjetividad que Foucault le hace a Merleau-Ponty y a la fenomenología desde muy temprano, al menos desde Phénoménologie et psychologie.
Epidemiología del NAFLD/NASH. Datos en práctica clínica real
Authors: Franch Nadal Josep , Vlacho Bogdan
Published: December 2023

La enfermedad por hígado graso no alcohólico (NAFLD) es muy frecuente y potencialmente puede ser muy grave. Su prevalencia varía según el método diagnóstico utilizado y la presencia de los factores de riesgo. Así, por ejemplo, en la población general se estima que la prevalencia de NAFLD oscila alrededor de un 25 %, pero si existe una diabetes mellitus tipo 2 (DM2) se eleva a 55 % y, en caso de la obesidad mórbida, al 90 % aproximadamente. Existen, además, importantes diferencias geográficas. Los grandes factores de riesgo son la presencia de una obesidad (OR = 10), una DM2 (OR = 3,7) y, en menor grado, el resto de componentes del síndrome metabólico y algunos estilos de vida. Puede existir un dudoso efecto protector del café y el té verde (OR de 0,70 y 0,65, respectivamente). Según datos de práctica clínica habitual en España, la prevalencia de NAFLD es del 27 % con una incidencia de 7,3 casos / 1.000 habitantes-año. Un 3,8 % de la población general adulta tienen una esteatohepatitis no alcohólica con distinto grado de fibrosis. Aproximadamente un 13-25 % de las esteatohepatitis desarrollan una cirrosis y, de estas, aproximadamente un 1,5 % de los casos degenera en un carcinoma hepatocelular anualmente.
Sosyal Bağlar Bireylerin Suçluluğunu Engelleyebilir Mi?
Authors: MACİT Ruken
Published: December 2023

Suç olgusunu açıklayan teorilerden biri Travis Hirschi’nin (1969) Sosyal Kontrol Teorisidir. Hirschi (1969), bu teoride sosyal bağların bireyleri topluma sıkı sıkıya bağlayarak bireyi suç davranışından koruduğunu ifade etmiştir. Bu çalışmada Hirschi’nin (1969) suçluluğu önlemede etkili olduğunu belirttiği sosyal bağların uyuşturucu satıcılarındaki rolünü nitel araştırma yöntemi ile analiz etmek amaçlanmaktadır. Bu bağlamda, Diyarbakır'da 20 eski hükümlü uyuşturucu satıcısı ile yarı yapılandırılmış görüşmeler yapılmıştır. Araştırma çerçevesinde, katılımcılar uyuşturucu kaçakçısı, uyuşturucu üreticisi / yetiştiricisi, nakliyeci, toptancı ve torbacı olarak sınıflandırılmıştır. Bu kapsamda, uyuşturucu ticaretinin ana unsurlarından biri olan uyuşturucu satıcılarının suçluluğu, Hirschi’nin sosyal bağlar olarak açıkladığı “bağlılık, adanmışlık, meşguliyet ve inanç” kavramları çerçevesinde ele alınmıştır. Elde edilen bulgularda, bireyin eğitim düzeyinin ve toplumsal normlara olan inancının suç davranışına yönelik önemli etkileri olduğu görülmüştür. Ayrıca, suçlu davranış geliştirmede bireyin güçlü sosyal bağlara sahip olması değil bu bağları kimlerle kurduğu önem arz etmektedir.
Genç Yetişkinlerin Aile Aidiyeti ve Sosyal Medya Bağımlılığı İlişkisinde Yalnızlığın Aracı Rolü
Authors: SEMERCİ Melike , BAYRAM Mahmure Nur , KOÇAK Orhan
Published: December 2023

Bireylerin ruh sağlığı gelişimi açısından önemli rol oynayan aile ilişkileri aynı zamanda gençlerin sosyal medya kullanımına yönelik bir risk unsuru barındırmaktadır. Bu bağlamda mevcut araştırmada; aile aidiyetinin sosyal medya bağımlılığına etkisinde yalnızlık düzeyinin aracı rolünü incelemek amaçlanmıştır. Araştırmanın örneklem grubunu Türkiye genelinde 18- 20 yaş arası evli olmayan 526 katılımcı oluşturmuştur. Veri toplama araçları olarak: Aile Aidiyeti Ölçeği, Bergen Sosyal Medya Bağımlılığı Ölçeği ve UCLA Yalnızlık Ölçeği olmak üzere 3 farklı ölçek kullanılmıştır. Çevrimiçi anket yoluyla toplanan verilerin analiz süreci SPSS programı aracılığıyla gerçekleştirilmiştir. Analiz sürecinde betimsel analiz, regresyon analizi ve korelasyon analizlerinden yararlanılmıştır. Çoklu regresyon için ise PROCESS Macro programı kullanılarak aracılık ilişkisi incelenmiştir. Araştırma sonucunda; aile aidiyetinin sosyal medya bağımlılığı üzerindeki negatif etkisinde yalnızlığın aracı rolü tespit edilmiştir. Sonuç olarak; aile aidiyeti ve yalnızlığın sosyal medya bağımlılığını etkileyen faktörler arasında yer aldığı belirlenmiştir. Bu kapsamda sosyal medya kullanımında ailenin önemine dair farkındalığın arttırılarak gençlerde aile ilişkileri ve sosyal desteğin güçlendirilmesine yönelik araştırmalara ağırlık verilmesi önem arz etmektedir.
Application of Agile Methodology in Managing the Healthcare Sector
Authors: Alotaibi Fawaz , Almudhi Riyad
Published: December 2023

The healthcare sector has gradually embraced effective project management for improved healthcare outcomes. This paper explores the application of the agile methodology for managing the healthcare sector. This study significantly contributes to the healthcare sector by providing insights into the application of Agile methodology, potentially enhancing healthcare management and patient outcomes. In this article, the author reviews ten peer-reviewed articles, analyses the findings, and generates three themes: Agile methodology development and implementation in the healthcare sector, the healthcare sector's readiness factors/levels for applying the agile methodology, and how agile methods improve healthcare outcomes. The findings across the three identified themes reiterate the crucial role of organizational leadership, flexible structures, and advanced technology in enhancing agility within the healthcare sector. Moreover, the studies highlight the potential of agile principles to enhance customer-centricity, customer satisfaction, and overall adaptability in healthcare organizations. The study recommends healthcare institutions priorities Agile competency development through training programs and cultivate a culture of adaptability to support Agile methodology adoption. Furthermore, it suggests quantitative research to validate readiness factors' influence, focusing on patient-centered outcomes and comparative studies between Agile and traditional healthcare approaches to bridge literature gaps.
حوكمة نظام الشركات السعودي 1443هـ في ضوء رؤية 2030 وأثره على جذب الاستثمارات واستقرار الاقتصاد السعودي
Authors:   ماجستير تنفيذي في الحوكمة والسياسات العامة، مستشار قانوني في الهيئة العامة للترفيه، المملكة العربية السعودية, الصالح مها
Published: December 2023

أضحت الحاجة ملحة في الآونة الأخيرة لتبني مفهوم الحوكمة على مستوى القطاع العام والقطاع الخاص والقطاع الغير ربحي في ضوء التحولات الاقتصادية والسياسية، حيث تعد الحوكمة بمثابة أداة تضمن التطبيق الفعال للأنظمة والسياسات وتدعم اتخاذ القرارات. تناولت هذه الدراسة بالعرض والتحليل مدى حوكمة نظام الشركات الصادر بموجب المرسوم الملكي رقم (م/132) وتاريخ 1/12/1443ه. اعتمدت الدراسة المنهج الوصفي التحليلي للنصوص النظامية، حيث تم تحليل نصوص نظام الشركات الجديد بالاستناد إلى مقياس الحوكمة الدولي حسب مقاييس البنك الدولي ومقارنته مع الوضع في ثلاث دول وهي الولايات المتحدة الأمريكية وكوريا الجنوبية ومصر. كما قدم الباحث توصية بشأن موضوع هذه الدراسة كالآتي: إنشاء جهاز مستقل يعنى بإشراف ومتابعة تطبيق الحوكمة في قطاع الأعمال كما في تجربة الولايات المتحدة الأمريكية، ونشر التوعية وتعزيز الالتزام بالقوانين بشكل فعال، وضع قانون موحد لتنظيم الشركات الأجنبية بالاستعانة بأفضل الممارسات الدولية في مجال جذب الاستثمارات الأجنبية وتكييفها بما يتوائم مع الظروف الاقتصادية والاجتماعية للمملكة، وذلك من أجل العمل على بلورة منظومة متكاملة من القوانين التشريعات الداعمة والممكنة للاستثمار الأجنبي في المملكة، لما في ذلك من أثر إيجابي على الاقتصاد الوطني، ضرورة تفعيل مبدأ الشفافية في تنظيم الشركات الحكومية من أجل خلق بيئة جاذبة للاستثمار وفق ما تضمنته رؤية 2030.
أثر تنمية الموارد البشرية على تحقيق استراتيجية منطقة عسير (دراسة تطبيقية على الهيئات الحكومية والوزارات الممكنة بمنطقة عسير)
Authors:   ماجستير إدارة الأعمال، تخصص إدارة الموارد البشرية، كلية ابن رشد للعلوم الإدارية، منطقة عسير، المملكة العربية السعودية, بكري علي ماجد
Published: December 2023

هدف البحث للتعرف على أثر تنمية الموارد البشرية على تحقيق استراتيجية منطقة عسير في الهيئات الحكومية والوزارات الممكنة بمنطقة عسير، كما هدف إلى التعرف على وجود الفروق ذات الدلالة الإحصائية حول أثر تنمية الموارد البشرية على تحقيق استراتيجية منطقة عسير في الهيئات الحكومية والوزارات الممكنة تعزى للمتغيرات الشخصية والوظيفية (النوع، العمر، المؤهل العلمي، المركز الوظيفي، سنوات الخبرة)، ولتحقيق أهداف البحث فقد استخدم البحث المنهج الوصفي التحليلي، حيث استعان الباحث بالاستبانة لجمع البيانات من عينة عشوائية بسيطة حجمها (173) موظفاً في إدارات الموارد البشرية بالهيئات الحكومية والوزارات الممكنة بمنطقة عسير. وقد توصل البحث لمجموعة من النتائج كانت: يوجد أثر إيجابي لأبعاد تنمية الموارد البشرية (تدريب وتطوير الموارد البشرية، تعليم وابتعاث الموارد البشرية، تقييم أداء الموارد البشرية، تمكين العاملين) على تحقيق استراتيجية منطقة عسير للعاملين في إدارات الموارد البشرية بالهيئات الحكومية والوزارات الممكنة بمنطقة عسير، كذلك بينت النتائج عدم وجود فروق ذات دلالة إحصائية للعاملين في إدارات الموارد البشرية بالهيئات الحكومية والوزارات الممكنة بمنطقة عسير حول أثر تنمية الموارد البشرية على تحقيق استراتيجية منطقة عسير في إدارات الموارد البشرية بالهيئات الحكومية والوزارات الممكنة لتحقيق الاستراتيجية تعزى للمتغيرات (العمر، المركز الوظيفي، سنوات الخبرة)، بينما توجد فروق تعزى للمتغيرات (النوع، المؤهل العلمي).
أثر استخدام الانفوجرافيك على التحصيل الفوري والمؤجل للطالبات في مادة الكيمياء واتجاههن نحو المادة
Authors:   ماجستير مناهج وطرق تدريس، الثانوية الخامسة بعد المئة التابعة لمكتب الجوهرة إدارة تعليم جدة، المملكة العربية السعودية, أبو زاهره ناديه
Published: December 2023

تهدف الدراسة الحالية إلى التعرف على أثر استخدام الانفوجرافيك في تدريس الكيمياء على التحصيل الفوري والمؤجل للطالبات واتجاه الطالبات نحو المادة. وقد تسهم هذه الدراسة في إثراء مكتبة البحوث العربية، كما أنها قد تعزز من استخدام التقنية في التعليم وقد تكون استجابة للتوجهات نحو استخدام المؤثرات البصرية في التدريس، أما من الناحية التطبيقية فقد تشجع المعلمين على استخدام الانفوجرافيك، وقد تفيد المهتمين في مجال تدريس الكيمياء بإنشاء مكتبة رقمية للدروس باستخدام الانفوجرافيك. ولتحقيق أهداف الدراسة استخدمت الباحثة المنهج الكمي شبه التجريبي، والمطبق على 60 طالبة، واستخدمت الباحثة الاختبار ومقياس الاتجاه كأدوات للدراسة، وتوصلت الدراسة إلى عدم وجود فروق ذات دلالة إحصائية بين متوسط درجات طالبات المجموعة التجريبية والمجموعة الضابطة في التطبيق البعدي لاختبار التحصيل الفوري، كما توصلت إلى وجود فروق ذات دلالة إحصائية بين متوسط درجات طالبات المجموعة التجريبية والمجموعة الضابطة في التطبيق البعدي لاختبار التحصيل المؤجل، وكذلك وجود فروق ذات دلالة إحصائية بين متوسط درجات طالبات المجموعة التجريبية في التطبيق القبلي والبعدي لمقياس الاتجاه نحو مادة الكيمياء .وفي ضوء ذلك أوصت الباحثة بضرورة تدريب المعلمات على الانفوجرافيك وأنواعه لاستخدامه في العملية التعليمية، ضرورة مراعاة واضعي المناهج توظيف الانفوجرافيك التعليمي لفاعليته التعليمية، تشجيع المعلمين للطلاب على استخدام تقنية الانفوجرافيك في تلخيص الدروس.
Ludwik Łętowski jako człowiek i pisarz
Authors: Barycz Henryk
Published: December 2023

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Śmierć Leszka Białego
Authors: Umiński Józef
Published: December 2023

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Benedyktynki od Nieustającej Adoracji (sakramentki) w Warszawie (1687-1960)
Authors: Szołdrski Władysław
Published: December 2023

Celem artykułu jest przedstawienie zawartości inwentarza zasobów archiwalnych klasztoru sakramentek w Warszawie sporządzonego w 1936 roku. Omówiono 6 następujących dokumentów:  1. Wykaz zakonnic zmarłych od początku istnienia klasztoru (1687-1960), 2. Wykaz przełożonych, 3. Wykaz pism, wydanych przez królów lub przez osoby z rodziną królewską związane na rzecz klasztoru, a także odnoszących się do jego fundacji, 4.  Wiadomości zaczerpnięte z kronik i sakramentek lwowskich, 5. Listy m. Mechtyldy, 6. Wykaz pism dotyczących pobytu księżniczki Ludwiki Conde de Bourbon klasztorze warszawskim.
Seminarium galicyjskiej prowincji szarytek (1782-1914) w świetle badań ogólnych nad rekrutacją do polskich zakonów żeńskich
Authors: Borkowska Małgorzata
Published: December 2023

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Lokacje miejskie w wielkopolskich dobrach arcybiskupów gnieźnieńskich w XIII i XIV wieku
Authors: Brust Mieczysław
Published: December 2023

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Katalog grobów duchowieństwa rzymskokatolickiego, ormiańskokatolickiego i greckokatolickiego oraz sióstr zakonnychna cmentarzach w Żytomierzu, Czerniowcach i Odessie
Authors: Wołczański Józef
Published: December 2023

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