bluuebunny/crossref_metadata_2025 huggingface dataset:
Counting breeding gulls with unmanned aerial vehicles: camera quality and flying height affects precision of a semi-automatic counting method
Authors: Corregidor-Castro Alejandro , Holm Thomas E. , Bregnballe Thomas
Published: December 2023

The use of Unmanned Aerial Vehicles (UAVs) to monitor large colonies of seabirds avoids challenges associated with conventional methods, but manual image processing is expensive. Development of semi-automated analytical methods rely on high image spatial resolution, which requires a trade-off between securing low area coverage and high spatial resolution flying at low altitude vs high area coverage but low spatial resolution flying at higher altitudes. Increasing individual bird detection probabilities requires maximizing contrast between target and background, which can be enhanced using thermal sensors. We applied a semi-automatic analytical method to multispectral UAV derived imagery to count a mixed breeding colony of Herring Gulls (Larus argentatus) and Lesser Blackbacked Gulls (L. fuscus). We trained the computer to detect different image classes by their spectral signature in several orthomosaics obtained from UAV flights at different altitudes using different cameras. Highest agreement with the manual counts was achieved by low flying (20 m) using the highest camera resolution (97.7 ± 1.1% for the Herring Gulls, omission error 2.6%, commission error 0.5%; 94.8 ± 1.8% for Lesser Black-backed Gulls, omission error 6.5%, commission error 1.6%). Method precision varied between trials, confirming the importance of low altitude flying with high quality cameras, and a 40% reduction in detection noise from adding a thermal sensor.
Western Orientalism Targeting Eastern Europe: An Emerging Research Programme
Authors: Kuldkepp Mart
Published: December 2023

This article discusses pre-existing studies of Euro-Orientalism (Orientalism directed at Eastern Europe), and advocates for further study of the inequal relationship between Europe's West and East. In this sense, this article should help to overview and advance the study this phenomenon. A better understanding of Euro-Orientalism is necessary both in order to counter epistemic injustice, and in order to promote realistic policy recommendations for the region. In this latter connection, the article argues that the West's inability to take proper account of Eastern European historical experiences contributed to its failure to prepare for Russia's all-out invasion of Ukraine in early 2022.
Transcending Two Percent: Toward a Prioritarian Model of NATO Burden-Sharing
Authors: Rubin David
Published: December 2023

This article argues that NATO's current burden-sharing regime, which I term the proportional model of NATO burden-sharing and which obligates each NATO member to allocate at least 2 percent of its GDP to defence, is deeply flawed from a purely ethical standpoint. This is because the proportional model omits from its approach to distributing the burdens of collective defence two morally relevant ally-level characteristics: namely, individual level of economic development and individual level of external threat. The model therefore treats unfairly both those allies characterised by especially low levels of economic development and those allies characterised by especially high levels of external threat, relative in each case to the alliance-wide average. The article argues that the proportional model should be replaced by that I term the prioritarian model of NATO burden-sharing, which is grounded in the normative theory of prioritarianism from the distributive justice literature. The prioritarian model would morally improve upon the proportional model by incorporating the aforementioned two ally-level characteristics (level of economic development and level of external threat) into its burden-sharing system in the form of two action-guiding prescriptions. The prioritarian model is therefore the fairer of the two models and consequently should be adopted by NATO.
ENDOMETRIOSE E SEUS IMPACTOS NA QUALIDADE DE VIDA DAS MULHERES EM IDADE FÉRTIL
Authors: Gomes Alice Ramalho , Silveira Kelly Paiva Guimarães , Santos Ana Luiza dos , Rebello Dandhara Martins
Published: December 2023

A endometriose é uma doença ginecológica inflamatória crônica, benigna, estrogênio-dependente, que age de maneira progressiva. É caracterizada pela presença e crescimento de glândulas endometriais disfuncionais fora da cavidade uterina, podendo acometer vários órgãos, geralmente situados na pelve. A epidemiologia de tal doença ainda é de difícil caracterização, principalmente devido a deficiência diagnostica, mas estima-se que cerca de 2 a 10% das mulheres em idade fértil possam ser acometidas e que 50% das mulheres portadoras de dor pélvica crônica são diagnosticadas com endometriose. Como consequência do processo inflamatório, a mulher pode apresentar um ou mais dos seguintes sintomas: dismenorreia, dispareunia, dor pélvica crônica, infertilidade e alterações urinárias ou intestinais. Tais sintomas, principalmente a dor pélvica crônica, pode gerar consequências negativas na qualidade de vida da portadora, limitando a rotina e interferindo no âmbito biológico, psicológico, social e familiar.  Diante disso, o presente trabalho tem como objetivo realizar uma revisão sistemática da literatura atual sobre a endometriose e seus impactos na vida de suas portadoras, estimulando e orientando, pois, a comunidade médica a identificar precocemente a clínica típica, realizar diagnóstico e controle precoce da doença, para que a progressão não culmine no prejuízo psicossocial da paciente.
MASK IMPORTANCE IN BURNED AREA MAPPING BASED ON REMOTE SENSING, GIS AND OPEN-SOURCE PRODUCTS
Authors: Stoyanova E. , Katsarska-Filipova S.
Published: December 2023

Abstract. Forest and field fires are an increasing problem for EU countries located in the southern parts of Europe. With each passing day, the need to develop a technological scheme for monitoring the territories affected by fires and the timely provision of open data in order to recover damages is increasing.In this study, the method used to study burned areas is based on the analysis of multispectral satellite images, the differences in terrain reflectivity and the use of indices to highlight the differences between areas with healthy vegetation and burned areas, taking into account their different signatures. Open source software - SNAP, QGIS, images from Sentinel-2 with bands in the green, red, near-infrared and short-wave infrared spectral bands were used for the purposes of the research. Data from the Inspire Directive was also used to analyze the types and characteristics of affected areas.In many cases, water bodies show a similar difference as the Normalized Burn Ratio (NBR) index, for this reason the need for their preliminary masking arises. Clouds that appear in each input image are also masked. A combined water and cloud mask is applied. To detect the water bodies, NDWI was used to maximize the reflectance of the water body in the green band and minimize the reflectance of the water body in the NIR range.
ADVANCED ANALYSIS TOOLS FOR THE EUROPEAN GROUND MOTION SERVICE DATA
Authors: Crosetto M. , Shahbazi S. , Cuevas-González M. , Navarro J. , Mróz M.
Published: December 2023

Abstract. This paper is focused on Advanced Differential Interferometric SAR (A-DInSAR). In the first part, the paper describes the European Ground Motion Service (EGMS), a new service of the Copernicus Land Monitoring Service. The EGMS provides consistent, regular, standardized, harmonized and reliable information regarding natural and anthropogenic ground motion over Europe. It is derived from A-DInSAR analysis of Copernicus Sentinel-1 data. The EGMS includes three main products: Basic, i.e. basic deformation maps delivered for individual and consistent frames of image stacks; Calibrated, i.e. deformation map integrated into a reference Global Navigation Satellite System network; and Ortho, which includes the East-West and Up-Down deformation, obtained by combining the ascending and descending results. The second part of the paper describes examples of data analysis. The first one is a clustering of PSI results, which highlights the so-called Active Deformation Areas (ADAs). The second one is an automatic classification of the ADAs. The third analysis concerns the differential deformation maps, which are useful to highlight areas where high deformation gradients occur. Such gradients are often associated to damages in buildings and infrastructures.
EUROPEAN GROUND MOTION SERVICE FOR BRIDGE MONITORING: TEMPORAL AND THERMAL DEFORMATION CROSS-CHECK USING COSMO-SKYMED INSAR
Authors: Eskandari R. , Scaioni M.
Published: December 2023

Abstract. This paper elaborates on the potential of the deformation time-series provided by European Ground Motion Service (EGMS) data points for bridge monitoring, in terms of the response of bridge structures to temporal and thermal deformations. For this purpose, high-resolution Cosmo-SkyMed (CSK) Synthetic Aperture Radar (SAR) images have been utilized through Persistent Scatterer SAR Interferometry (PS-InSAR) to derive spatially detailed deformation time-series of two bridges located at the north of Lombardy region, Italy. Then, the Annual Displacement Velocity and Thermal Expansion Coefficient of the data points in both datasets are extracted based on the corresponding deformation time-series. The response parameters are post-processed through projection and compensation steps to become comparable. Cross-checking the results by comparing the response parameters along the bridges showed that the global (for L3 products) and local (for L2b products) differential behaviour and the variation of the values of these parameters from one side to the other side of each bridge are consistent between CSK and EGMS datasets. However, the EGMS L3 information shows a slightly lower magnitude in both displacement velocity and thermal expansion coefficient responses. According to the revealed capability of EGMS information in this work, it can be concluded that the EGMS data points, if spatially cover a bridge, can present a reasonable and sufficient insight into the temporal evolution of displacement and thermal structural response, suitable for structural health monitoring and condition assessment of bridges under operational and environmental loads.
LU TAN-1 SAR SATELLITE CHARACTERISTICS AND PRODUCTIONS IN THE PHASE OF IN-ORBIT TEST
Authors: Li T. , Tang X. , Gao X. , Zhang X. , Zhang X. , Lu J. , Chen T. , Qiao X. , Han J. , Li Z.
Published: December 2023

Abstract. Lu Tan-1 (LT-1) has finished the in-orbit test and will be delivered to the users in 2023. In this paper, we discussed the satellite characteristics including the satellite mission, the platform as well as the payload. The satellite constellation was designed following two main demands, i.e., digital elevation model (DEM) generation and deformation monitoring. Thus, we provided two kinds of productions. First was the DEM created using the images provided by helix bistatic formation. Second was the deformation products created using that of pursuit monostatic formation. The deformation products were finally classified into three different types given the processing technologies. They were deformation field provided by differential interferometric SAR (InSAR, DInSAR), deformation velocity field provided by stacking, and deformation time series provided by multi-temporal InSAR. DEM data were validated to be better than 5 m compared to ICESat. Deformation field, deformation velocity field, as well as deformation time series were validated to be better than 2.7 mm, 8.6 mm/yr and 3.7 mm, respectively.
DEEP AND MACHINE LEARNING FOR MONITORING GROUNDWATER STORAGE BASINS AND HYDROLOGICAL CHANGES USING THE GRAVITY RECOVERY AND CLIMATE EXPERIMENT (GRACE) SATELLITE MISSION AND SENTINEL-1 DATA FOR THE GANGA RIVER BASIN IN THE INDIAN REGION
Authors: Sai K. N. , Galodha A. , Jain P. , Sharma D.
Published: December 2023

Abstract. Accurate estimation of groundwater levels in river basins is paramount for hydro-geological research and sustainable water resource management. In this paper, we introduce a deep learning framework explicitly developed for precise groundwater level estimation in the Ganga River Basin. Leveraging the combined band information of Sentinel-1 synthetic aperture radar (SAR) and GRACE satellite data, our approach capitalizes on the trans-formative capabilities of Vision Transformers (ViT) and their variants, with a particular focus on Swin-Transformer variant enriched with Normalization Attention Modules (NAMs).To address the unique challenges of the Ganga River Basin, we curated a comprehensive dataset, forming a robust foundation for training computer vision models tailored to this distinct geographical region. Through rigorous experiments, our state-of-the-art Vision Transformers demonstrated significant potential in groundwater level estimation, with the Swin-Transformer NAM-based model achieving an outstanding Mean Absolute Error (MAE) of 1.2. These remarkable results surpass conventional methodologies and underscore the substantial advancements achieved through advanced transformer-based architectures in this domain. Moreover, this research contributes a robust dataset for future endeavours, fostering further advancements in groundwater estimation and related fields. This study represents a substantial step towards advancing sustainable groundwater utilization practices in the Ganga River Basin and beyond.
INTEGRATING OPTICAL AND RADAR IMAGERY TO ENHANCE RIVER DROUGHT MONITORING
Authors: Conversi S. , Carrion D. , Norcini A. , Riva M.
Published: December 2023

Abstract. Drought events are growingly affecting European and Italian territories, hampering local environments and biodiversity, such as the ones relying on rivers for their subsistence. Monitoring of rivers is becoming an important issue to face drought crisis and may be exploited with different tools. Among the most commons, satellite imagery is exploited to map water coverage, basing on optical or radar sources. This work proposes a combination of the two sensors to overcome possible limitations of the single dataset exploitation, reaching a reliable result. The methodology is applied to a stretch of Po River in Lombardy region (Italy). Through Google Earth Engine platform, optical satellite Sentinel-2 and radar satellite Sentinel-1 data are processed. The combination of the radar data and of the optical spectral indices is carried out through a pixel-based supervised classification, with a Random Forest classifier. Maps of water coverage are obtained, numerical outcomes of water surface evaluation are recorded and validated by the mean of reference hydrometric data. A multitemporal analysis is then reported, aiming to prove the efficiency of the procedure. All iterations show reliable accuracies and correlation among water surface estimation and water table measurements in two sections of interest. In perspective, the proposed methodology will be implemented in tools for supporting drought monitoring to be integrated in environmental public administration policies.
QUALITY INSPECTION OF REMOTE SENSING FARMLAND RESOURCE MONITORING DATA ACHIEVEMENTS
Authors: Mao W. , Zhao H. , Han W. , Tu H. , Gao W.
Published: December 2023

Abstract. The article proposes a quality inspection process for the monitoring data of remote sensing arable farmland resources, including an overall review, detailed inspection, and sample external review. The necessary parameters for analysis are determined, and the detection methods for different inspection items are differentiated. Some inspection items that can be automatically checked by the program are distinguished, and a rule library is established to achieve batch automatic inspection of some inspection items. Then, the implementation methods for the remaining quality inspection items are studied, the common problems are identified, and the human-machine interaction inspection of the quality inspection items is improved. Finally, the monitoring data results of arable farmland resources in 161 counties were tested, and the results showed that the proposed technical route is feasible, and the quality evaluation result is objective.
DEVELOPMENT OF CLOUD DETECTION METHOD FOR CAS500-1 IMAGERY
Authors: Seo W. W. , Yoon W. S. , Kang H. , Lim P. C. , Kim T.
Published: December 2023

Abstract. Clouds are typically characterized by high reflectance and low brightness temperature. They are generally classified as noise in optical land monitoring satellites. In particular, the presence of clouds has a decisive effect on the quality of follow-up data, so they must be detected. In this study, pre-processing was applied to effectively detect clouds while minimizing noise using CAS500-1 images with visible and near-infrared bands. First, the RGB color space is converted to the HSV color space. Next, a triangle thresholding method is applied to the value channel, which exhibits the highest correlation with pixel brightness, to extract bright objects. Then, the maximum likelihood method is applied to differentiate between bright objects and cloud candidate objects. Finally, threshold values for cloud detection are automatically determined to create initial cloud maps using the statistical values derived from the cloud candidate objects. We compared the results generated by the single thresholding method to verify the performance of the proposed method. As a result, the proposed method was able to detect clouds more accurately by considering the reflectance characteristics of each image. Moreover, except for cloud objects, the rest of the bright objects (white roofs, concrete roads, sand, etc.) were minimized. Our experiments showed high stability despite the absence of shortwave infrared and thermal infrared bands, which are effective for cloud detection.
MEASURING THE INFLUENCE OF A MOTORWAY CONSTRUCTION ON LAND SURFACE TEMPERATURE USING LANDSAT THERMAL DATA: A CASE STUDY IN THE METROPOLITAN CITY OF MILAN
Authors: Vavassori A. , Puche M. , Brovelli M. A.
Published: December 2023

Abstract. Cities have been identified as a landmark for climate change, being among the direct targets of its negative feedbacks. The combined effect of climate change and rapidly growing urbanization is exacerbating the urban heat island phenomenon in cities worldwide. The availability of multiple geo-data sources including satellite remote sensing products is significantly empowering the investigation of its driving factors. This is a crucial step to implement ad hoc mitigation and adaptation strategies. In view of the above, the goal of this study is to measure the effect of a motorway on the Land Surface Temperature (LST) space-time patterns by leveraging Landsat 5 and 8 thermal data of the period from 2006 to 2022. The study area is around the motorway A58 and connected roads in the Metropolitan City of Milan (northern Italy). LST patterns are investigated along the motorway track and in the neighbouring areas before and after the motorway construction, in both the cold and warm seasons. Results show that the motorway significantly affects the LST distribution during summer with a median increase of 2.5 °C along the road track with respect to the surrounding area. The warming effect is also recorded in the road buffers with decreasing LST with increasing distance from the road. On the contrary, no meaningful variation in terms of LST is measured in winter. These experiments provide insightful measures of the effect of a highway on the local climate conditions in an urban area, thus representing crucial pieces of information for driving evidence-based urban planning activities.
PHASED ACCURACY ANALYSIS IN ROAD CONSTRUCTION: USING BIM AND PHOTOGRAMMETRIC OUTPUT
Authors: De Winter H. , Bassier M. , De Geyter S. , Vergauwen M.
Published: December 2023

Abstract. The construction industry is experiencing a gradual shift towards digitization. Currently, this digitization is relatively limited, but the need for that digitization as well as for automation is large. Digitization in road construction in particular is even more dire than in the construction industry in general. It involves various tasks such as progress, quality and quantity analyses. In this paper a proof of concept is presented on the possible automation of accuracy analysis in road construction throughout the construction of a road. The used data is 3D as-design data on the one hand and multiple 3D as-built data on the other hand, with the former being modelled using the regulations formulated by the Flemish ”Departement van Mobiliteit en Openbare Werken” (MOW), and the latter being captured using a Real Time Kinematic Unmanned Aerial Vehicle (RTK-UAV). The feasibility of the proposed workflow is examined using a real test case. Conducting these quality checks regularly will provide a clear overview of the construction site progress. In this way, any delays or errors can be detected quickly, resulting in higher quality and reduced failure costs.
ESTIMATING DRY MATTER AND TOTAL SOLUBLE CONTENT IN APPLES USING A COMMERCIAL PORTABLE HYPERSPECTRAL IMAGING SYSTEM
Authors: Medic T.
Published: December 2023

Abstract. The quest for rapid, non-destructive, and precise technologies for fruit quality estimation is motivated by the needs across the whole food production chain. One of the emerging technologies fulfilling these requirements is spectral imaging. However, despite documented successes, the technology is yet to become established in commercial applications. The best results reported in the literature rely on fixed, non-portable dedicated setups, and controlled light conditions, which limits the potential use cases along the food production chain. In our study, we investigate the possibility of estimating dry matter content (DMC) and total soluble content (TSC) of store-bought apples in non-regulated indoor conditions using a commercial, portable, hand-held imaging system featuring a hyperspectral camera. The acquired images are transformed into per-fruit representative spectral profiles, pre-processed, and analyzed using partial least squares (PLS), the established method in the chemometrics community. We achieved the R2 of 0.93 for TSC and 0.91 for DMC on the test dataset, with a mean absolute error of 0.71 °Brix for TSC and 0.7% for DMC, which is comparable to the state-of-the-art results presented in the literature. These results indicate that recent instrumental developments enable the deployment of spectral imaging systems in a wider range of tasks in food production, requiring portability and allowing for less stringent control of environmental conditions.
USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
Authors: Bareth G. , Hütt C. , Jenal A. , Bolten A. , Kleppert I. , Firl H. , Wolf J. , Hüging H.
Published: December 2023

Abstract. In Precision Agriculture applications, the knowledge of the N-uptake of crops in a spatial context is a precondition for precise N-fertilization. Therefore, non-destructive methods to determine N concentration or N-uptake of crops are of key interest. In this contribution, we will present an approach based on UAV-based crop height analysis to estimate N-uptake. The hypothesis is that biomass can be very well estimated using UAV-derived crop height. It is also known that biomass is highly correlated with N-uptake. Hence, we propose to use UAV-derived crop height as a direct estimator for N-uptake. We will present results from a winter wheat field trial comprising six varieties, three different N amounts, and five repetitions. Multitemporal models have been created from data of the growing season 2020 with a promising performance for biomass (R2 = 0.91) and N-uptake (R2 = 0.72). The two linear regression models have been applied to a similar independent data set from the following year, 2021. The results are promising for biomass (R2 = 0.82) and N-uptake (R2 = 0.75). Based on our findings, we conclude that UAV-derived crop height - as a structural crop trait - can robustly serve as an estimator for biomass and N-uptake in winter wheat.
COMPARISON OF TWO DATA FUSION APPROACHES FOR LAND USE CLASSIFICATION
Authors: Cubaud M. , Le Bris A. , Jolivet L. , Olteanu-Raimond A.-M.
Published: December 2023

Abstract. Accurate land use maps, describing the territory from an anthropic utilisation point of view, are useful tools for land management and planning. To produce them, the use of optical images alone remains limited. It is therefore necessary to make use of several heterogeneous sources, each carrying complementary or contradictory information due to their imperfections or their different specifications. This study compares two different approaches i.e. a pre-classification and a post-classification fusion approach for combining several sources of spatial data in the context of land use classification. The approaches are applied on authoritative land use data located in the Gers department in the south-west of France. Pre-classification fusion, while not explicitly modeling imperfections, has the best final results, reaching an overall accuracy of 97% and a macro-mean F1 score of 88%.
MAPPING STATISTICAL DATA: POSSIBILITIES OF EUROSTAT-MAP.JS LIBRARY
Authors: Miletić A. , Kuveždić Divjak A. , Kević K. , Puškarić I.
Published: December 2023

Abstract. Access, availability, and general interest in open data have increased significantly over the past decade. Open data can be published by various organizations and individuals, with public organizations being the largest producers of open data. Despite governments' efforts to publish a large number of high value datasets on open data portals, data reuse is still not satisfactory because users often lack the technical skills required to reuse data. Research has shown that providing open-source software and tools can help solve this problem. Since statistical datasets are among the high-value datasets and their visualization on a map can help in decision-making, this research explores the possibilities of using the Eurostat-map.js library, a novel JavaScript tool, to enable non-specialized users (e.g., researchers, journalists, and citizens) to use Eurostat statistical data to create thematic maps. By analysing use cases that utilize the Eurostat-map.js library and exploring cartographic principles and techniques available for mapping official statistical data, this research addresses its capabilities, limitations, and opportunities for future development. Although the eurostat-map.js library aims to provide a user-friendly approach, it is important to note that non-specialist users may still face challenges in using the library due to their limited technical and cartographic expertise. Creating maps and effectively visualizing Eurostat data requires a certain level of technical skills and cartographic knowledge. Non-specialist users, such as researchers, statisticians, journalists, and government agency personnel, who do not have extensive experience in programming or cartography, may find it more difficult to use the library than specialists in these fields.
E-TRAINEE: OPEN E-LEARNING COURSE ON TIME SERIES ANALYSIS IN REMOTE SENSING
Authors: Potůčková M. , Albrechtová J. , Anders K. , Červená L. , Dvořák J. , Gryguc K. , Höfle B. , Hunt L. , Lhotáková Z. , Marcinkowska-Ochtyra A. , Mayr A. , Neuwirthová E. , Ochtyra A. , Rutzinger M. , Šedová A. , Šrollerů A. , Kupková L.
Published: December 2023

Abstract. Time series (TS) analysis has always been an important topic in Remote Sensing (RS). Open access to archives of Earth Observation missions, periodically acquired nation-wide aerial imagery and LiDAR point clouds, and various research datasets, together with open tools for TS data processing, have brought new possibilities in RS research but also challenges in education. The topic of TS analysis in RS has become an essential part of MSc curricula in geoinformatics, geography, and related fields. Open learning materials systematically addressing the issue of TS at the master's level are rare and their development is time and resource demanding. Thus, based on previous collaboration, the four research groups from Charles University, Heidelberg University, University of Innsbruck, and University of Warsaw joint their specific expertise and developed an open E-learning course on Time Series Analysis in RS for Understanding Human-Environment Interactions (E-TRAINEE). The course consists of four Modules covering the topics of TS from general approaches (M1) to specific methods of processing TS of satellite multispectral images (M2), 3D/4D point clouds (M3), and aerial image and laboratory spectroscopy (M4). Theoretical parts are supported with exercises/tutorials and case studies based on research activities of the involved teams. The course is accessible via a web site and is published under the CC-BY SA 4.0 license. The primary target group are MSc and PhD students of geoinformatics and geography, but it is also relevant to students of environmental studies, ecology, or geology, as well as potential users from the public and private sectors dealing with applications of RS.
Yersel Lazer Tarayıcıların Tarihi Köprülerin Modellenmesinde Kullanımı
Authors: KABADAYI Adem
Published: December 2023

Tarihi alanları dijital olarak korumak için en son 3B ölçüm teknolojilerini kullanmak, haritalama çözümleri için yeni olanaklar sunuyor. Eksiksizliği, doğruluğu ve hızı nedeniyle 3B yersel lazer tarama, en yaygın kullanılan tekniklerden biri olarak takeometri ve basit el ölçümü gibi daha geleneksel yaklaşımları hızla geride bırakıyor. Bu makale, tarihi köprülerin cephe verilerinin 3B ortamda belgelenmesi için yersel lazer tarama teknolojisinin kapasitesini değerlendirmektedir. Bunu, kayıtlı renklendirilmiş nokta bulutlarına dayalı 3B görselleştirme modelinin oluşturulması takip etmektedir. Bu projede, tarihi köprünün geometri verilerini kaydetmek için yersel lazer tarayıcı olan FARO lazer tarayıcı sistemi kullanılmıştır. Geometrik nesnenin renk bilgisini yakalamak için lazer tarayıcıya entegre edilen kameradan elde edilmiştir. Teknolojik yaklaşımımız, otomatik renklendirme işlemi ile tarihi anıtın 3D renkli görselleştirme modelini oluşturma olanağı sağlamaktadır. Detaylı yüksek çözünürlüklü dijital görüntülerden RGB değerlerinin 3D nokta bulutu verilerine eklenmesi FARO Scene yazılımı kullanılarak tamamlanmıştır. Bu sayede 3B model çok daha fotogerçekçi bir şekilde görselleştirilebilmektedir.
Etiopatogenia/fisiopatología de la enfermedad del hígado graso no alcohólica (NAFLD)
Authors: Ruiz Quintero Manuel Antonio , Navarro Pérez Jaime
Published: December 2023

La enfermedad del hígado graso no alcohólico (NAFLD, por sus siglas en inglés) es una enfermedad común en las naciones occidentales y varía en gravedad desde la esteatosis hasta la esteatohepatitis (NASH), cirrosis y su potencial riesgo de hepatocarcinoma. NAFLD es una enfermedad relacionada con el estrés genético-ambiental-metabólico de patogenia poco clara y compleja que se desencadena por el consumo excesivo de calorías y la inactividad física, que conducen a la resistencia a la insulina y al estrés oxidativo. Un creciente cuerpo de evidencia indica que la disfunción mitocondrial juega un papel crítico en la patogénesis de NAFLD. La disfunción mitocondrial no solo promueve la acumulación de grasa, sino que también conduce a la generación de especies reactivas de oxígeno (ROS) y la peroxidación de lípidos, lo que resulta en estrés oxidativo en los hepatocitos. Otros puntos a valorar son la disfunción de la autofagia que conduce a una acumulación excesiva de lípidos en los hepatocitos, lo que da lugar a la NAFLD. Por último, la microbiota intestinal potencia el papel del eje intestino-hígado sumándose a la contribución de la progresión de la NAFLD.
Tratamiento no farmacológico de la NAFLD/NASH
Authors: Rojo Marina , Navarro Pérez Jorge
Published: December 2023

El tratamiento primario de NAFLD es la pérdida de peso, mejores patrones de alimentación y ejercicio. El beneficio cardiometabólico y la reducción de la grasa hepática se pueden observar con una pérdida de peso > 5 %. Una mayor pérdida de peso proporciona mayores beneficios y puede revertir la esteatohepatitis o fibrosis hepática (10 % de pérdida de peso). Las recomendaciones dietéticas sugieren un déficit energético de 500-750 kcal/día, en combinación con ejercicio. La calidad de la dieta es clave. Existe una relación dosis-respuesta entre NAFLD y actividad física. Cuánta más actividad física se realice, mejor. El mejor ejercicio a recomendar es aquel que el paciente sea capaz de hacer, disfrutar y mantener en el tiempo. Por lo tanto, el tratamiento no farmacológico de la NAFLD se enfoca en un estilo de vida saludable con pérdida de peso, dieta saludable, ejercicio físico, disminuir el consumo de alcohol, control del estrés e higiene del sueño, así como el control de la diabetes, colesterol y triglicéridos.
El papel de la insulina en el tratamiento actual de la persona con diabetes mellitus tipo 2
Authors: Mora Navarro Gustavo , Menéndez Ortega Myriam , Castillo Biscari Nonfa
Published: December 2023

En un contexto de permanente aparición de nuevas opciones terapéuticas para el tratamiento de la diabetes mellitus tipo 2, la insulina sigue siendo una alternativa muy importante en el esquema terapéutico, y la única y mejor en determinadas situaciones clínicas; entre estas, las enfermedades intercurrentes, el embarazo, los periodos de hospitalización, la hiperglucemia inducida por glucocorticoides, etc. Para una adecuada indicación del tratamiento con insulina, es fundamental conocer los distintos tipos con diferentes perfiles de acción. Contamos hoy con insulinas que ofrecen una acción principalmente basal (intermedias y prolongadas) e insulinas prandriales (rápidas y ultrarrápidas) que permiten un adecuado control de la hiperglucemia derivada de la ingesta de alimentos, pero con peculiaridades y características diferenciadoras entre ellas. Los nuevos fármacos no insulínicos, como por ejemplo los análogos de GLP-1, ofrecen nuevas opciones de combinaciones con insulina que aportan interesantes sinergias y oportunidades que permiten individualizar las pautas de tratamiento contribuyendo con ello a un mejor control metabólico, pero no solo, sino también, reducir el riesgo de complicaciones y el riesgo cardiovascular. Todo ello supone un reto para el médico de familia que debe conocer de forma exhaustiva los distintos tipos de insulina que existen, sus perfiles de acción, sus indicaciones y su posicionamiento en el esquema terapéutico de la diabetes mellitus tipo 2. En este artículo se trata de hacer una breve, útil y actualizada revisión de todos estos aspectos.
Zarys życia religijnego Warszawy w latach 1788-1806
Authors: Wojnowski Jan
Published: December 2023

--
Studia kard. Ledóchowskiego w seminarium świętokrzyskim w Warszawie (1841-1843)
Authors: Schletz Alfons
Published: December 2023

--
Ewa Cyndlówna, czternastoletnia ofiara miłości bliźniego z roku 1705
Authors: Pasiecznik Modest
Published: December 2023

Celem niniejszego studium jest przybliżenie losów Ewy Cyndlówny, która złożyła ofiarę ze swego życia niosąc pomoc zarażonym podczas epidemii dżumy w 1705 roku w Jarosławiu. W artykule opisano także posługę jarosławskich kapłanów niosących pomoc zadżumionym.
Zarys dziejów klasztoru cystersów w Kamieńcu Ząbkowickim na Śląsku w wiekach średnich
Authors: Lenczowski Franciszek
Published: December 2023

Zadaniem niniejszego studium jest krótkie przedstawienie średniowiecznych dziejów klasztoru, będącego początkowo w posiadaniu kanoników regularnych, a następnie cystersów, w Kamieńcu na Śląsku w powiecie ząbkowickim, w oparciu przede wszystkim o jego  dokumenty i inne przekazy źródłowe oraz częściowo o przygodne wzmianki o nim rozrzucone w różnych opracowaniach i o prace dotyczące zakonu cystersów
Kościół św. Józefa Oblubieńca NMP na warszawskim Kole
Authors: Lis Artur
Published: December 2023

--
The Impact of Childhood Parenting Styles on Feelings of Embodiment in Adolescence
Authors: Droeger Abigail , Miller Joan
Published: December 2023

This research project aims to better understand the relationship between parenting styles and feelings of embodiment. Embodiment is defined as a perceived sense of ownership and awareness that individuals have over their own bodies, and healthy embodiment is believed to positively impact psychological functioning in children. The parenting styles examined within this study were Baumrind’s original three parenting styles: authoritative, authoritarian, and permissive. These parenting styles are based on two dimensions: control and warmth. Authoritative parenting has been found to encourage independence while maintaining a supportive environment. For this reason, there is a lot of research that supports authoritative parenting in young children. Undergraduate participants were asked to complete a modified version of the Parental Authority Questionnaire and the Body Consciousness Questionnaire. Participants were then shown three parent-child interactions related to sleep, food, and bathroom, as well as two potential parent responses to these interactions. Participants were asked to rate the level of autonomy and warmth each of these potential parent responses conveyed, as well as which response they preferred, which response they believed that their parents would have chosen, and which response they would choose if they were the parent. Due to the empirical research supporting the benefits of authoritative parenting in many aspects of psychological functioning, we predicted a correlation would exist between authoritative parenting and positive embodiment. However, there was no significant correlation found between these variables. A new significant relationship between authoritarian parenting and public body consciousness was found. Further research on this relationship is suggested, as well as the development of a better scale for measuring healthy embodiment.
The Role of Social Support in Determining Perinatal Anxiety and Depression Outcomes for Black and Latina Women
Authors: Parsons Clara , Saint Laurent May-Lorie , Bi Yu , Korostyshevskiy Valeriy , Kirk Keri
Published: December 2023

Racial and ethnic minoritized groups in the United States face higher maternal morbidity and mortality rates and elevated risks for postpartum depression and other perinatal mood disorders. Social support (SS) protects against perinatal mood disorders, particularly for Black and Latina women. This study aimed to determine if having two or more SS people was related to perinatal anxiety and depression outcomes in a convenience sample of Black and Latina women. Mothers (n = 51) with children between ages zero and three completed a socio-demographic and mental health status (PHQ4) survey. A two-way ANOVA was performed to analyze the effect of high SS and race on mental health scores. There was no significant difference in mental health scores for those with two or more social supports versus those with one or fewer social supports (p = 0.4865). A two-group comparison generally showed that mothers with high SS had a lower mental health score (M = 0.39), and mothers with low SS had a higher score (M = 0.60). There was a significant relationship between SS and both race and age (p = 0.0498, race, p = 0.0010, age). Therefore, this study found no relationship between having two or more SS people and perinatal anxiety and depression outcomes. Future studies should examine how other contextual factors impact SS and mental health outcomes for Black and Latina mothers.
SERBEST ZAMANLARINDA SPOR MERKEZLERİNE DEVAM EDEN BİREYLERİN HEDEFE BAĞLILIK, MENTAL İYİ OLUŞ VE BEDENİ BEĞENME DURUMLARININ İNCELENMESİ
Authors: TAPŞIN Fuat Orkun , KARAGÜN Elif , SELVİ Sabit
Published: December 2023

Amaç: Bu araştırmanın amacı, serbest zamanlarında spor merkezlerine devam eden bireylerin hedefe bağlılık, mental iyi oluş ve bedeni beğenme durumlarının incelenmesidir.

Yöntem: Tarama modeli kullanılarak yapılan bu araştırma Adapazarı ilinin Serdivan ilçesindeki spor merkezlerine devam eden ve araştırmaya gönüllü katılmak isteyen 18 yaş ve üzeri toplam 219 kişi literatür bilgiler ışığında hazırlanan 8 soruluk bilgi anketi ile 5 soruluk (Klein ve ark., 2001) tarafından geliştirilen (Şenel ve Yıldız 2016) tarafından Türkçe’ye uyarlanan hedefe bağlılık ölçeği, Tylka ve Wood-Barcalow (2015) tarafından geliştirilen ve (Anlı ve ark., 2015) tarafından Türkçe’ ye uyarlanan 10 soruluk bedeni beğenme ölçeği, Tennant ve ark. (2007) tarafından geliştirilen dilimize uyarlama çalışmasını ise Keldal (2015) tarafından yapılan mental iyi oluş ölçeği uygulanmıştır. Veriler SPSS 25.00 paket programında analiz edildiğinde normal dağılım gösterdiği için, parametrik testlerden ikili küme karşılaştırmalarında t testi, ikiden fazla küme karşılaştırmalarında ise varyans analizi ANOVA kullanılmıştır.

Bulgular: Yapılan analizler sonucunda; serbest zamanlarında spor merkezlerine giden bireylerin bedeni beğenme ölçeği sonuclarında cinsiyette göre erkeklerin, eğitim durumuna göre üniversite mezunlarının, yaş değişkenine göre 25-31 yaş ve 32 yaş ve üzeri olanların, spor salonuna haftada 3 gün ve üzeri gidenlerin, spor salonuna vakit geçirmek ve sağlık amacıyla gidenlerin lehine anlamlı bir farklılık olduğu sonucu bulunmuştur. Mental iyi oluş ölçeğine ait sonuçlarda ise, eğitim durumuna göre üniversite mezunlarının, yaş değişkenine göre 25-31 yaş ve 32 yaş ve üzeri olanların, spor salonuna haftada 2 gün ve haftada 3 gün veya üzeri gidenlerin, spor salonuna sağlık amacıyla gidenler lehine anlamlı bir farklılık olduğu sonucu bulunmuştur. Hedefe bağlılık ölçeğine ait toplam puan ortalamalarına bakıldığında ise değişkenler açısından anlamlı farklılık göstermediği belirlenmiştir.

Sonuç: Araştırma sonucunda spor merkezlerine devam etmenin bireylerin mental iyi oluş ve bedeni beğenme durumunu olumlu yönde etkilediği sonucu bulunmuştur.

Anahtar Kelimeler: bedeni beğenme, hedef belirleme, mental iyi oluş, serbest zaman, spor
The Relationship between Walking Ability and Fall Risk in Poststroke Patients
Authors: Maratis Jerry , Liana Duta , Puspitaloka Mahadewi Erlina
Published: December 2023

Objective: To determine the relationship between walking ability and the fall risk in after stroke patients. Method: This research was descriptive quantitative with observational research type. The total sample of 35 people after stroke was obtained using a purposive sampling technique. Measurement of walking ability using the Dynamic Gait Index (DGI) showed a mean ± SD value of walking ability of 16.74 ± 5.20 and measurement of fall risk using the Timed Up and Go Test (TUGT) showed a mean ± SD value of 17.871 ± 6.55. Results: The Pearson Product Moment correlation test obtained a value of p = 0.001with a value of r = - 0.984 which shows a negative correlation between the two variables, which means that when the level of walking ability increases, the fall risk tends to decrease. Conversely, when the level of walking ability decreases, the risk of falling tends to increase. Conclusion: There was a relationship between the ability to walk and the fall risk in after stroke patients.

Keywords: Post-stroke patients, walking ability, fall risk, Dynamic Gait Index (DGI), Timed Up and Go Test (TUGT).
Teachers’ Perception, Plan, and Implementation of Cambridge Curriculum in Teaching Writing at Cambridge Bilingual High School Yogyakarta
Authors: Aulia Syifa , Mujiyanto Januarius , . Suwandi
Published: December 2023

Cambridge English Language Assessment is one of the curriculum pathways used in Senior High School. This curriculum has required subjects, including English as a Second Language/ESL. At the end of the course, Cambridge curriculum has a final test named Cambridge testing/ IGCSE test. Based on previous studies, it found that writing is the students’ lowest point. In addition, preliminary research at CBHS Yogyakarta also found that writing skills, especially hortatory exposition text, is the most challenging material faced by 11th-grade students. Therefore, the role of the teachers in the teaching-learning process, especially in writing, is essential. This thesis aimed to evaluate how English teachers perceive, plan, and implement the Cambridge curriculum in teaching writing. The objectives of the research are (1) to explain the teachers’ perception of the Cambridge curriculum in teaching writing in CBHS Yogyakarta (2) to explain the teachers’ plan of the Cambridge curriculum in teaching writing in CBHS Yogyakarta (3) to explain the teachers’ implementation of the Cambridge curriculum in teaching writing in CBHS Yogyakarta (4) to show the relationship between the teachers’ perception, the teachers’ plan, and the teachers’ implementation of Cambridge curriculum in teaching the students writing in CBHS Yogyakarta. It was collected by qualitative research. The sample involved four English teachers of CBHS Yogyakarta. Data collection included interview guidelines, questionnaires, document analysis, and observation. The technique of analyzing the data will use the steps of analyzing data proposed by Creswell (2014). The results showed the four teachers of CBHS Yogyakarta had positive perception in teaching writing. They have adequate knowledge and experience dealing with Cambridge curriculum implementation. The teachers’ implementation aligned with their perception and plan. However, although their lesson plan did not include all aspects based on the local curriculum qualification, it was completed enough to implement in the classroom.

Keywords: Teachers’ perception, teachers’ plan, teachers’ implementation, Cambridge curriculum, hortatory exposition texts.
Design of a Covid-19 Patient Respiration Monitoring System Using an ESP 32 Microcontroller and an MPU 6050 Sensor for the Internet of Medical Things (IoMT) System
Authors: Hanifudin Tahier Ahmad Ridlo , Azam Muchammad , Ketut Umiati Ngurah Ayu
Published: December 2023

The main manifestation of COVID-19 disease infection is caused by respiratory system disorders. Periodic monitoring is needed to support good care and prevent complications caused by the slow response of nurses to the decline of the patient's clinical condition based on several physiological parameters in the National Early Warning Score COVID-19. This aim of this research is to build, design, and implement data acquisition systems on respiration sensors in a monitoring system or monitoring periodically based on the Internet of Medical Things (IoMT). The sensor that used to calculate the respiration cycle is the MPU6050 sensor by measuring the magnitude of the vibration. Sensor-scalable data will be acquired by the ESP32 microcontroller and sent to data storage on a computer over a W-Fi network in real time using the MQTT (Message Queuing Telemetry Transport) communication protocol and displayed in a web-based interface. The system that has been built runs well that can calculate the value of the respiration cycle per minute from patients with a small average deviation value of 1.26 % from manual calculations using stopwatches. Periodic monitoring can also be done with an average response time of 03.48 seconds.

Keywords: ESP32 microcontroller, respiration cycle, COVID-19, MQTT
Influence of Water Dosage on the Compressive Strength of Earth Concrete Containing Corn Stalks Fibres
Authors: KOUTO Yaovi Agbeko , LARE Douti , IMBGA B. Kossi
Published: December 2023

The influence of the water content on the compressive strength of the soil – corn stalk fibres – water mixture is analysed in this study. The clay soil is mixed with corn stalk fibres with a water volume variation of 16 to 20% in increments of 1% to produce concrete samples stored in an enclosure at room temperature. On these samples, the density is determined every day to monitor the evolution of water loss as well as compressive strength. It appears that the loss of density decreases with the day and stabilizes from the 26th day and that the best compressive resistance is obtained for a water content of 18%.

Keywords: clay soil; corn stalks fibres; compressive strength; water rate.