bluuebunny/crossref_metadata_2025 huggingface dataset:
A FULLY CONNECTED CHANGE DETECTION METHOD OF SAR IMAGES FUSING ORIGINAL IMAGE FEATURES AND CHANGE DETECTION RESULTS
Authors: Sun Z. , Duan F. , Guan H. , Yang F. , Wang Y. , Zhao W.
Published: December 2023

Abstract. The primary strategy to eliminate the effect of scatter noise in synthetic aperture radar (SAR) imagery is usually through filtering or combining neighborhood information. However, both approaches to reducing noise reduce the detection accuracy of change edges with similar characteristics to scatter noise points. Considering the above problems, this letter proposes a post-processing method that applies a fully connected conditional random field theoretical model to fuse the original image information with the initial change detection results. The method first takes the original image information and the initial change detection results as a priori conditions. Secondly, the global spatial information in the original image and the label values in the initial change detection results are fully considered when detecting the changed and unchanged pixels to establish a fully connected relationship between all the pixels and find the label distribution probability of each pixel under the condition of noise suppression, and finally obtain better change detection results. The experimental results on the real SAR dataset confirm the proposed method's effectiveness, robustness, and efficiency.
SATELLITE REMOTE SENSING FOR ASSESSING THE SPATIOTEMPORAL CHANGES OF THE ECOLOGICAL STATE OF THE AGRICULTURAL LANDS IN ARMENIA
Authors: Ayvazyan G. , Asmaryan S.
Published: December 2023

Abstract. Proper management and monitoring of the ecological condition of natural feeders are crucial for both the economy and natural environments. Armenia is no exception, and addressing this issue requires comprehensive studies combining traditional methods with remote sensing technologies. Remote sensing in agriculture utilizes various sensors and technologies to collect data about crops, soil conditions, and agricultural parameters from a distance. This study focuses on the utilization of remote sensing, including satellite imagery, to assess the ecological state of grasslands and pastures in the Syunik administrative district of Armenia. Over a 22-year period (2000–2021), the study utilized Landsat series (5,7,8) multispectral optical images processed through Google Earth Engine (GEE) to analyze changes in the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation health. The results reveal favorable trends in vegetation health across the study regions, as indicated by consistently positive Z-values in the Seasonal Mann-Kendall test. While no significant trends were observed in some areas, others showed improvements in biomass conditions. This study provides valuable insights into the resilience and health of grasslands and pastures in the Sisian and Goris regions, offering a basis for targeted interventions and strategies to preserve these ecosystems for future generations.
BURNT AREAS SEMANTIC SEGMENTATION FROM SENTINEL DATA USING THE U-NET NETWORK TRAINED WITH SEMI-AUTOMATED ANNOTATIONS
Authors: Marra A. B. , Galo M. L. B. T. , Giulio Tonolo F. , Sano E. E. , Orlando V. S. W.
Published: December 2023

Abstract. The Pantanal biome is one of the most important wetlands on the planet, harboring a rich biodiversity whilst being critical in maintaining hydrological cycles and climate regulation. However, the occurrence of fires in the biome has represented a significant threat to this unique ecosystem and its multiple functions. Understanding the extent, intensity and environmental impacts caused by fires in the Pantanal, is of unique importance for the preservation of the biome's biodiversity. Remote sensing techniques have played an important role in detecting and mapping burnt areas, especially SAR (Synthetic Aperture Radar) orbital systems, that are able to collect data in regions with frequent cloud cover or during extreme fire events. In this context, the objective of this study was to evaluate the potential of the U-Net semantic segmentation network applied to SAR data in the detection of burnt areas in the Brazilian Pantanal. For this, a semi-automatic annotated dataset was generated and considered as ground truth to evaluate the result obtained by the network. Two input datasets were evaluated in the detection of burnt areas, one containing optical and SAR data whereas the other containing only SAR data. The predictions of the two datasets were consistent with the semi-automatically generated annotation, showing similar spatial distribution but presenting a greater number of burnt areas. The model using both optical and SAR data achieved IoU (Intersection of Union) of 0.69 whereas the SAR only model had 0.60. Considering the amount of available data and the complexity of burnt area detection, the predictions achieved were adequate.
DEVELOPING A MULTI-VARIABLE FOREST FIRE RISK MODEL AND FIRE RISK ZONE MAPPING
Authors: Norovsuren B. , Mart Z. , Natsagdorj E. , Altanchimeg T.
Published: December 2023

Abstract. Forest steppe and taiga regions with a dry climate, small fires occur frequently between large fires, and therefore groups of trees of various ages and structures are formed in these forests, which has the effect of increasing fire exposure and "fuel reserves". The main goal of this research is to develop a multi-variable forest fire risk model and to mapping forest fire risk. The study area is the forest community in Bulgan province. Forest cover maps are essential for current research of community. We used in this research Landsat OLI and Digital Elevation Model (DEM) data. Soil moisture index and land surface temperature data from Landsat satellite data and elevation data (DEM) were used to determine slope and aspect. A multi-variable forest fire risk model was developed in this research. The final output delineated fire risk zones in the study area in four categories that include high-risk, moderate-risk, low-risk, and non-fire risk zones. Accuracy assessments on the two Landsat scenes indicates that forest/non-forest maps derived using the forest index (FI) have high accuracy.
PHENOLOGICAL ANALYSIS OF THE WESTERN HIMALAYAN FOREST USING TEMPORAL REMOTE SENSING DATA
Authors: Singh P. , Ghosh S. K. , Khare S.
Published: December 2023

Abstract. The Himalayan range is considered to include the highest mountains on earth, with a widely recognized assortment of flora and fauna. The Indian Himalayan range spread over 10 states, of which being Uttarakhand, has the largest forest cover of 48.5% of the total area forest. In Doon Valley, the phenological behavior and variations of several forest types have been studied using the Normalized Difference Vegetation Index (NDVI) and Temporal Normalized Phenology Index (TNPI) along with elevation, surface temperature, slope, and aspect data into consideration. A two-scale method has been employed to study forest phenology, using Sentinel-2 data at 10 m spatial resolution for local-scale studies and MODIS NDVI data at 250 m spatial resolution to find large-scale phenological patterns. The framework used in this study is based on Google Earth Engine (GEE) which has potential applications at various spatial and temporal scales. Multiple phenological phases and phenological metrics have been identified and examined within the duration from December 2018 to May 2023. The investigation concluded that phenological behaviors were considerably affected by environmental and topographic variables such as elevation, surface temperature, slope, and aspect. Significant changes in phenology were recorded at low altitudes; however, less fluctuation was reported at medium to higher elevations due to remoteness at greater elevations. Using NDVI from open-source MODIS and Sentinel-2 datasets, TNPI has been successfully tested for this forest region. The findings showed that this study opens new opportunities for trend analysis of forest health and productivity.
ENHANCING THE QUALITY OF CNN-BASED BURNED AREA DETECTION IN SATELLITE IMAGERY THROUGH DATA AUGMENTATION
Authors: Hnatushenko V. , Hnatushenko V. , Soldatenko D. , Heipke C.
Published: December 2023

Abstract. This study aims to enhance the quality of detecting burned areas in satellite imagery using deep learning by optimizing the training dataset volume through the application of various augmentation methods. The study analyzes the impact of image flipping, rotation, and noise addition on the overall accuracy for different classes of burned areas in a forest: fire, burned, smoke and background. Results demonstrate that while single augmentation techniques such as flipping and rotation alone did not result in significant improvements, a combined approach and the addition of noise resulted in an enhancement of the classification accuracy. Moreover, the study shows that augmenting the dataset through the use of multiple augmentation methods concurrently, resulting in a fivefold increase in input data, also enhanced the recognition accuracy. The study also highlights the need for further research in developing more efficient CNN models and in experimenting with additional augmentation methods to improve the accuracy of burned area detection, which would benefit environmental protection and emergency response services.
MAPPING BEE-KEEPING FOREST PLANTS FROM MEDIUM SPATIAL RESOLUTION MULTISPECTRAL SATELLITE DATA
Authors: Antonopoulos A. , Gounari O. , Falagas A. , Tsagkarakis A. , Karantzalos K.
Published: December 2023

Abstract. Apiculture is one of the main branches of agriculture and crucial to rural development since it provides farmers with unique products like honey, wax, pollen, royal jelly, propolis and bee venom. Due to pollination services provided by honeybees, environmental sustainability and diversity are also increased, as well as crop production. In Greece, approximately 2.000.000 bee colonies (second in the E.U.) are reported with a relatively high density per km2. There are more than 20.000 beekeeping operators that produce about 20.000 tons of honey every year, while more than 65% of Greek honey is produced from honey dew. To this end, this study aims to identify and map major honeybee flora in the Greek mainland and the Greek islands (Fir forests, Pine forests and Oak forests) for the year 2019, in order to examine best regions to deploy honeybee colonies. In particular, a classification framework for mapping the main honeybee flora is introduced that is exploiting annual moderate-resolution satellite multi-temporal data. Additionally, a methodology is presented to generate a coarser training dataset by utilizing a high-spatial resolution, detailed land cover map. This process specifically focuses on the integration of honeybee flora classes that are not present in the land cover map but are of significant great importance for honey flora mapping. The goal was to enable large-scale classification without the computational resource constraints typically associated with such national scale frameworks. Experimental results are quite promising with the quantitative validation indicating overall accuracy of more than 85%.
PLANIMETRIC RAIL POSITIONING USING UAV PHOTOGRAMMETRY: TOWARDS AUTOMATED AND SAFE RAILWAY INFRASTRUCTURE MONITORING
Authors: Cuypers S. , De Winter H. , Bassier M. , Vergauwen M.
Published: December 2023

Abstract. The maintenance of railway infrastructure requires detailed inspection of track assets including the rails, sleepers, fasteners, and tie plates. Current methods using total stations and measurement trains are costly and the subsequent data processing is often manual. A potent alternative is the use of Unmanned Aerial Vehicles (UAV) to investigate track asset deviations. However, the potential degree of automation and the overall accuracy is still very much the subject of ongoing research. In this work, a potential pipeline is investigated for the planimetric inspection of rails using UAV photogrammetry. Specifically, state-of-the-art line detectors such as Holistically-Nested Edge Detection, DexiNed, Segment Anything Model, and Mobile Line Segment Detection are combined with logical filtering to assess the localisation and gauge of the rails. The experiments indicate that the accuracy and detection rate are promising. Overall, the proposed method is a promising step towards affordable and safe railway infrastructure inspection.
MATCHING FILTER-BASED VSLAM OPTIMIZATION IN INDOOR ENVIRONMENTS
Authors: Wei S. , Wang S.
Published: December 2023

Abstract. An important factor that reduced the accuracy of motion trajectories in existing VSLAM (Visual Simultaneous Localization and Mapping) systems is the poor estimation of the position pose of the vision odometer. The existing methods generate many incorrect matches during the feature matching process, resulting in low computational accuracy of rotations and translations between cameras, which further leads to a reduction in the robustness of the overall system. In addition, the sparse feature point maps do not provide a detailed description of the surrounding environment, which makes it difficult for the devices equipped with VSLAM systems to perform advanced tasks such as navigation, path planning and human-computer interaction. To address the accuracy problem, we select the set of matches from existing feature matching algorithms based on the motion consistency constraint and use a random sampling consistency algorithm to obtain the best quality matches from the selected samples for computing the geometric transformation model and estimating the current pose. To address the problem of sparse map points, we use the depth information from the RGB-D or Stereo camera to build a dense map module to ensure that information about the surrounding environment is recorded as a point cloud, which provides data support for the implementation of advanced tasks of the device.
DEVELOPING A MULTIMODAL DATABASE OF DIGITAL ARCHIVES FOR CULTURAL HERITAGE SITES – A CASE OF DIGITALLY PRESERVING THE BOROBUDUR TEMPLE OF INDONESIA
Authors: Batjargal B. , Pan J. , Ji S. , Li L. , Yamaguchi H. , Hasegawa K. , Nishibayashi T. , Maeda A. , Sarjiati U. , Thufail F. I. ,   Brahmantara, Tanaka S.
Published: December 2023

Abstract. Digital archives that support the three-dimensional (3D) digitization of cultural heritage sites are gaining popularity and attracting enormous interest as a critical strategy for digital preservation. This paper investigates the construction of a multimodal database for cultural heritage sites, which aims to preserve 3D data, images, videos and other materials along with multilingual text data. 3D scanning is widely used for efficient and accurate digitization of cultural heritages. However, some sites have been damaged entirely or partially, or sometimes, it is impossible to conduct 3D scanning of a portion of a site that is hidden from sight. At the Borobudur temple, a UNESCO World Heritage site, there are buried reliefs that are hidden at the basement and inaccessible for 3D scanning. Currently available data for these inaccessible portions of the site include old photos, computer-aided design (CAD) drawings and historical written descriptions. To digitally reconstruct 3D models of hidden parts, we introduce a method that use a single monocular photo. We constructed “Borobudur Visual Archives” to store, access, view and retrieve Borobudur-related digital assets, including the 3D data that we created.
TOWARDS WHEAT YIELD ESTIMATION IN PLANT BREEDING FROM INHOMOGENEOUS LIDAR POINT CLOUDS USING STOCHASTIC FEATURES
Authors: Medic T. , Manser N. , Kirchgessner N. , Roth L.
Published: December 2023

Abstract. The world relies heavily on wheat, corn, and rice for nutrition, with global challenges such as population growth and climate change threatening food security. To tackle this, plant breeding, supported by digital technologies, focuses on improving food quality and quantity. Currently, crop yield estimation uses indirect observations through hyperspectral data and spectral indices, such as NDVI, which suffer from low sensitivity in breeding scenarios. Terrestrial laser scanners (TLS) present an alternative, allowing observations of the quantity and morphology of wheat ears from point clouds, which are directly linked to grain yield. However, exploiting these observations under field conditions presents challenges, mainly due to reduced resolution and non-homogenous properties of point clouds. In response, we propose an approach for in-field wheat yield estimation using machine learning and stochastic features of TLS point clouds that are specifically handcrafted to be less sensitive to the abovementioned phenomena. This approach avoids the need for explicit 3D reconstruction of individual plants and plant organs. Our initial results show limited success in yield estimation when posed as a regression problem. However, when framed as a classification problem focusing on detecting top- and bottom-performing plant phenotypes, we achieved a promising accuracy of 84.4% and AUC of 0.93. While encouraging, these are only the first results under relaxed conditions and further work is needed to enhance practical applicability.
TOWARDS DETECTING SPEED BUMPS FROM MLS POINT CLOUDS DATA
Authors: Fan H. , Chen Y.
Published: December 2023

Abstract. High definition maps contain a high level of information about the road and its features. This includes traffic signs, speed limits and lane markings, that are not generally included on regular maps. However, they may still lack critical information, such as the locations of speed bumps. Without the information about the whereabouts of speed bumps the passengers’ comfort and safety, as well as the condition of the car may be jeopardized. There are currently methods for detecting speed bumps that use changes in acceleration or 3D cameras. However, these approaches are susceptible to external influences interfering with the recorded data. Hence, it is desirable to have this information stored and available through HD maps. In this work, we tested two deep learning-based approaches (PointNet++ and PointCNN) and compared the results with conventional region growing method, in order to find out pros and cons of the modern deep learning-based methods. For our test, we used MLS (mobile laser scanning) point clouds data in Trondheim, Norway.
THE DEVELOPMENT AND VALIDATION OF A TACTICAL GRADE EGI SYSTEM FOR LAND VEHICULAR NAVIGATION APPLICATIONS
Authors: Huang Y.-E. , Tsai S. , Liu H.-Y. , Chiang K.-W. , Tsai M.-L. , Lee P.-L. , El-Sheimy N.
Published: December 2023

Abstract. Over recent years, the utilization of commercially available integrated navigation systems for the development of navigation algorithms has become increasingly commonplace. Nevertheless, the wide range of sensor quality on the market complicates system customization and restricts the evolution of navigation algorithms. This study aims to address these issues by creating an affordable, tactical-grade, real-time integrated navigation system, EGI-500 (Embedded GNSS and INS), encompassing both hardware and software components. EGI-500 incorporates a tactical-grade IMU500 and a Septentrio Mosaic-X5 GNSS receiver module. The integration process is segmented into three distinct stages. The first involves hardware integration, with an illustrative architecture diagram of the real-time navigation system. Second, we focus on data preprocessing, where a cross-correlation approach is proposed to tackle multi-sensor time synchronization issues, specifically to determine potential time lags in IMU data. The final phase covers the fusion of multi-sensor data and motion constraints. The Extended Kalman Filter (EKF) forms the backbone of this part, with Zero Velocity Update (ZUPT) and Non-Holonomic Constraints (NHC) being integrated into the Loosely Coupled (LC) scheme. Furthermore, the IMU calibration process is performed to ascertain necessary algorithmic parameters. Experimental results, conducted in diverse environments (open sky, GNSS challenging, and GNSS denied), will be presented in this paper. Comparisons with reference data indicate that the navigation accuracy of the developed integrated system, both in terms of hardware and navigation algorithm, achieves expected meter-level accuracy, fulfilling the "Which Lane" and "Which Road" level criteria in varied environments. Furthermore, outcomes from the GNSS denied environment align with predictions based on propagation error theory, demonstrating the feasibility of our navigation algorithm for tactical integrated navigation systems.
ALTERNATIVE GCP SOURCES FOR ACCURATE HD MAP PRODUCTION
Authors: Tsai M.-L. , Chiang K.-W. , Hsieh C.-Y. , Lin S. , Srinara S. , Chiu Y.-T.
Published: December 2023

Abstract. In Taiwan, map companies have to referenced the HD Maps guideline and standard which published in TAICS, Taiwan to make ensure the quality of data. The procedure costs lots of times and resources. In order to increase the capability and mileage of HD Maps, this study try to use diverse surveying method and different kinds of sources for ground control points to produce the maps. The test field is National expressway No.8 in Taiwan. With different ground control points sources issue, we measure the features as ground control points and check points from UAS orthophoto. The preliminary results show that the absolute accuracy is suitable the requirement of HD Maps guidelines. With the diverse surveying method topic, we use sensor data from autonomous vehicle and SLAM algorithms to make HD Maps. The preliminary map results can be used as a base map to accomplish the concept of ground control point cloud. It can be used as ground control point to establishment, update, and overlay other point cloud data. On the other hand, these point clouds can be provided for application of SAE Level 3 autonomous vehicle to achieve the positioning accuracy of where in lane (0.5 meter). The flexible producing methods are helpful for formulating and renewing our HD Maps guideline and standard. These experiences will improve the efficiency and integrity for making map.
AUTONOMOUS VEHICLES LOCALISATION BASED ON SEMANTIC MAP MATCHING METHOD
Authors: Huang H. , Yu D. , Yang J. , Liu X.
Published: December 2023

Abstract. In autonomous driving systems, a positioning method that can be used in scenarios with no satellite signals or long signal interruptions is a must. In this paper, we address the problems in map construction methods and map matching methods in scenes without satellite signals or long signal interruptions, and construct a semantic map matching-based localization method to meet the localization requirements by means of monocular vision sensors on the basis of weighing the accuracy and cost of map construction and localization. In this paper, firstly, the method of map construction is studied and a static semantic map construction method based on monocular camera is constructed. Then the map matching localization method is studied, and a semantic map matching based localization method is constructed to align the local map built during localization with the pre-built global semantic map to obtain the current location information. Finally, this paper constructs a method to fuse the visual odometry and map matching localization results, so as to obtain more accurate localization results.
INVESTIGATING THE COMPLEMENTARY USE OF RADAR AND LIDAR FOR POSITIONING APPLICATIONS
Authors: Mounier E. , Dawson E. , Elhabiby M. , Korenberg M. , Noureldin A.
Published: December 2023

Abstract. In the realm of Autonomous Vehicles (AVs), accurate, reliable and uninterrupted positioning capabilities are vital to ensure successful operations. Light Detection And Ranging (LiDAR) technology, capable of providing a high-fidelity 3D representation of the surrounding environment, has enabled numerous odometry-based positioning algorithms. These algorithms utilize a registration process to estimate relative motion from two successive 3D scans. However, the accuracy of the registration process can be compromised by the presence of dynamic objects, leading to significant translational and rotational deviations. On the other hand, Radar technology provides spatial and speed information. However, it is limited by spatial sparsity and susceptibility to noise. In this paper, we propose combining the complementary LiDAR and Electronic Scanning Radar (ESR) measurements, along with onboard motion sensors for improved navigation performance in complex and dynamic environments. This is achieved by employing a radar-based filtering mechanism that refines the LiDAR’s point cloud mitigating the impact of dynamic objects. This results in a more robust registration process, which in turn enhances the LiDAR Inertial Odometry (LIO) solution. The proposed method was verified using real data collected from onboard motion sensors, a 3D LiDAR, and four ESRs from road tests conducted in downtown Calgary, Alberta, Canada. Our approach achieved an improved average horizontal positioning and heading RMSE of 0.43 meters and 0.25 degrees, respectively, compared to the 0.66 meters and 0.39 degrees observed with the standalone LIO solution. Moreover, submeter-level and lane-level accuracies were enhanced to 95% and 100% of the time, respectively, up from 85.7% and 94.9%.
A Scientometric Analysis of Food Poisoning Research Since 2009-2018: Based on the Web of Science Database
Authors: T. Jagateswari  , P. Gomathi
Published: December 2023

This study evaluates the “Food Poisoning” research output from the year 2009 to 2018 (10 years). The data were downloaded from the Web of Science (WoS) database which was maintained by Thomson Reuters. The total number of records was 1726. Food poisoning is defined as an infection caused by the consumption of food or water contaminated with bacteria and/or their toxins, or with parasites, viruses, or chemicals. The study mainly focused on the year wise, author wise, language and country wise publications of the food poisoning research.The collected data were analyzed with the help of “Bibexcel tool”.
Global Human Microbiome Research: A Scientometric Analysis
Authors: Balachandran Chikku , Begum Khaiser Jahan
Published: December 2023

The field of scientometrics is ever growing and helps in analyzing the science indicators such as research output in a subject, institutions and author productivity etc. Present study is about scientometrics of microbiome research literature. In this paper the authors have covered language, subject, country wise distribution of literature for ten years (2009 and 2018), taking the data from Web of Science. MS Excel is used for presentation and preparation of different tables. The year 2018 has highest no of publications. English language scores 98.78% in communicating microbiome research. Of the fifteen journals listed, ‘PLOS ONE’ ranks first. ‘Microbiology’ has maximum number of publications (25.04%). USA has contributed largest number of publications (46%). University of California Systems (6.8%) ranks first. Knight, R. is the most productive author (156 papers). Thus, scientometrics of microbiome research literature has shown interesting trends and has added to existing body of scientometric.
Computer Literacy and Use of Internet among Academia of Science in Universities of Andhra Pradesh and Telangana: A Study
Authors: John Shaji , Begum Khaiser Jahan
Published: December 2023

The present study is an attempt to determine the present status of computer literacy and level of use of internet among academia of science in Universities of Andhra Pradesh and Telangana. The study found that overwhelming majority of respondents from both Andhra Pradesh and Telangana 88.7% and 87.8% respectively are either expert or above average in computer literacy skills. Precisely 32.4% of the respondents prefer to use internet from department Library, 17.5% of the respondents prefers their Home or Hostel, and 34.7% of the respondents have no preferred place for internet use. Exactly 84.3% of the respondents are using internet either daily or 4 to 5 times in a week. Altogether 39% of the respondents from Andhra Universities are using Google Chrome and 51.5% of the respondents from Telangana Universities are using Google Chrome for browsing the resources on the net.
Skill and Attitudes towards the Digital Library Environment: A Study of Information Professionals in the Government Polytechnic College Libraries in Kerala
Authors: Shajihan K. P. , Muthumari P.
Published: December 2023

Information professionals will require more extensiveness and strength of knowledge and skills across the extent of traditional library knowledge. This study was conducted to observe the skills and attitudes of Information Professionals towards the digital library environments of Government Polytechnic College Libraries in Kerala. The study comprises all the Information Professionals, working in the Government Polytechnic Colleges in Kerala. There are 43 Government Polytechnic Colleges in Kerala. The study was based on a questionnaire survey of Information professionals employed in the Government Polytechnic College Libraries in Kerala. The study identified the skill, knowledge and attitudes required by librarians for the emerging digital library environment. The study reveals that the majority of information professionals are well aware of the ICT skills required for working in the Polytechnic Colleges Libraries. The study also reveals the problems associated with the updating of their skills and strategies to be used for updating their skills. The study proposes for formulating common standards for Polytechnic College Libraries for the better performance of such libraries.
Politics and ‘spiritual education’ in Simone Weil’s last writings
Authors: Fulco Rita
Published: December 2023

The aim of this article is to relate the concept of 'force' to that of 'spiritual education'. Starting from it, we can better understand the link, fundamental for Simone Weil also in the political sphere, between immanence and transcendence. The predominance of force over immanence seems, indeed, to decree the impossibility of a 'just' politics. Weil shows that awareness of the predominance of force in this world is a first and indispensable step towards justice. This explains the centrality that Weil attaches to the education of attention, particularly for those who are to assume governmental roles. Reflection on politics and justice thus assumes, in the last years of Weil's life, the role of an 'otherwise than power', effective on two levels: firstly, as a reflection on power and the forms of government to be given to France liberated from the Nazis; secondly, as a project of true spiritual education for those who will be called to govern at any level.
Lacoste. Jean-Yves, La fenomenicidad de Dios: nueve estudios, Salamanca, Ediciones Sígueme, 2019, traductor: Jesús María Ayuso Díez, pp. 288.
Authors: Uria Recalde Gorka
Published: December 2023

Traductor: Jesús María Ayuso Díez. Ediciones Sígueme, Salamanca, 2019.
Modern Çatışma Kuramının Öncüleri Üzerine Bir Değerlendirme: Ralf Dahrendorf, Lewis A. Coser ve Randall Collins
Authors: BİNGÖL İlhan
Published: December 2023

İnsanlık tarihi boyunca önemli bir olgu olan çatışma, çeşitli biçimlerde ortaya çıkan toplumsal, siyasi, ekonomik ve psikolojik dinamiklerle şekillenir. Genel manada çatışma kuramı, toplumu, temel maddi ihtiyaçlarını karşılamak için kaynaklar elde etmek amacıyla rekabet içinde olan grupların bir araya gelerek oluşturduğu bir sistem olarak değerlendirmektedir. Savaşlar, toplumsal çatışmalar, terör saldırıları ve etnik anlaşmazlıklar gibi çeşitli biçimlerde ortaya çıkan çatışmalar, insan toplumlarının karşılaştığı temel zorluklardan biridir. Çatışma kuramı; klasik çatışma teorisi ve modern çatışma teorisi olarak iki başlık altında ele alınmaktadır. Modern çatışma kuramı; çatışmaların doğasını, kökenlerini, sürdürülmesini ve sonuçlarını anlamayı hedefleyen bir disiplindir. Bu kuram, çatışmaların sosyal, politik, ekonomik ve psikolojik faktörlerle nasıl etkilendiğini incelemektedir. Bu çatışma kuramının temel amacı, çatışmaları daha iyi anlamak ve çözümlemektir. Bu makale, modern çatışma kuramı ve bu kuramın öncü teorisyenlerine odaklanarak çatışma fenomeninin anlaşılmasına katkıda bulunmayı amaçlamaktadır. Makalede modern çatışma kuramının temel yaklaşımları ve önde gelen kuramcılarından R.Dahrendorf, L. A. Coser ve R.Collins’in konu ile ilgili bakış açıları ele alınmaktadır. İlk olarak, çatışma kuramının tarihsel evrimi ve kökenleri incelenmektedir. Makalenin ana vurgusu, modern çatışma kuramının önde gelen kuramcıları ve onların katkılarına odaklanmaktadır.
تقنيات محاكاة الواقع ودورها في إثراء الفن الجداري
Authors:   باحثة ماجستير، قسم الرسم والفنون، كلية التصاميم والفنون، جامعة جدة، المملكة العربية السعودية, القائدي لجين
Published: December 2023

يهدف البحث إلى التعريف بالمفاهيم المرتبطة بالتقنيات الحديثة، تحديدًا تقنيات محاكاة الواقع وما يستظل تحتها من تقنيات مثل الهولوجرام والواقع الافتراضي والواقع المعزز. بالإضافة إلى الكشف عن دور هذه التقنيات في إثراء الفن الجداري. وتتضح أهمية البحث في إلقاء الضوء على تقنيات محاكاة الواقع وفن الجداريات، والمساهمة في تقوية الارتباط بين الفن والعلم من خلال التأكيد على دور تقنيات محاكاة الواقع في إثراء مجال الفن الجداري بما يواكب حركة التطور. يتبع البحث المنهج التاريخي حيث تطرق إلى تاريخ الجداريات وتطور تقنيات محاكاة الواقع عبر السنين. والمنهج الوصفي والتحليلي في الأعمال الفنية الجدارية المستخدم بها تقنيات محاكاة الواقع. وبناءً على النتائج التي توصل إليها البحث يمكن استنتاج التالي: أن لتقنيات محاكاة الواقع دور مهم ومؤثر في إثراء العمل الفني الجداري، نظرًا لاتجاه العصر الحالي إلى التقنيات الحديثة، بالإضافة إلى أن التقنيات المستخدمة في محاكاة الواقع مثل: الهولوجرام، الواقع الافتراضي، الواقع المعزز، متجددة وليست ثابتة حيث أنها تتطور مع تقدم العلم مما يؤثر على المجال الفني الجداري بشكل إيجابي وتوصي الباحثة بضرورة الاهتمام بالتقنيات الحديثة بشكل عام وتقنيات محاكاة الواقع بشكل خاص كونها تتيح مجال واسع لإنتاج أعمال فنية مبتكرة تحقق رؤية الفنان وأفكاره الإبداعية والحث على نشر الوعي الجمالي في استخدام تقنيات محاكاة الواقع في مجال التصوير الجداري من خلال تنفيذها في المهرجانات على الواجهات والاحتفالات العامة والاهتمام بالتجريب والخروج عن الخامات التقليدية والاستفادة من المعطيات التكنولوجية التي توصل لها العلم.
"Dla pomnożenia chwały Bożej". Jagiełłowe i Jadwigi fundacje na rzecz Kościoła w Koronie i Litwie
Authors: Hartleb Kazimierz
Published: December 2023

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"Spis ludności w Betlejem" w cyklu maryjnym kościoła w Tarłowie
Authors: Kwiatkowska-Frejlich Lidia
Published: December 2023

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Konflikty księdza Antoniego Kanteckiego z ustawodawstwem pruskim
Authors: Gzella Grażyna
Published: December 2023

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PENGARUH KINERJA KARYAWAN TERHADAP LOYALITAS NASABAH PADA KANTOR LPD DESA ADAT PERAUPAN DENPASAR BALI
Authors: Adi Nugraha I Made Ananta , Trisna Eka Putra I Komang , Erma Mertaningrum Ni Luh Putu
Published: December 2023

Penelitian bertujuan untuk mengetahui bagaimana serta sejauh mana pengaruh yang diberikan oleh kinerja karyawan dalam memperoleh loyalitas nasabah. Penelitian mengenai pengaruh kinerja karyawan terhadap loyalitas nasabah ini, lebih menekankan kepada penilaian para nasabah sejumlah 63 responden terhadap kinerja karyawan yang membuat mereka merasa lebih tertarik untuk memberikan rasa loyal mereka kepada kantor LPD Desa Adat Peraupan seperti melalui kualitas, kuantitas, ketapatan waktu, dan pengawasan kinerja karyawan. Sebagian besar responden berusia 21 sampai 25 tahun dengan 29,1 persen. Berdasarkan perhitungan SPSS diketahui nilai koefisien determinasi sebesar 0,233 atau 23,3% yang artinya variabel kinerja karyawan memberikan kontribusi sebesar 23,3% terhadap variabel loyalitas nasabah.
Imagining Success: Psychology in Rhythmic Gymnastics and Beyond
Authors: Wu Hsiu- Tin , Say Joyce , Ku Ni- Chen
Published: December 2023

The purpose of this study was to investigate the differences in the types of imagery employed by athletes in performance sports, with a specific focus on the hypothesis that athletes in these sports would utilize general mastery motivational imagery more frequently than other types. The study aimed to emphasize both objective difficulty techniques and subjective art and implementation aspects. The findings supported the hypothesis, indicating that athletes in performance sports indeed employed general mastery motivational imagery more frequently than other types. The essential elements of the study, highlighting the methodology involving descriptive statistics and single-factor repeated quantitative analysis of variance. The demographic variables and imagery types investigated are delineated, providing a comprehensive overview of the research scope. The emphasis on participant autonomy, anonymity, and the absence of correct responses underscores the ethical considerations, fostering an environment of openness and honesty in responding. The concise and informative abstract serves as a succinct preview of the study's design, methods, and participant guidelines.

Keywords: Rhythmic Gymnastics, Imagery, Psychological, Athletes, SPSS.
Dilemmatic of the Proofing Testimonium De Auditu: Indonesian Legal Studies
Authors: Syahyu Yulianto
Published: December 2023

The proof of testmonium de auditu cannot be used in criminal cases but the constitutional court's decision number 65/PUU-VIII/2010 gives the position of witness de auditu which creates a new dilemma in criminal trials. the method used is normative with a legal approach and a conceptual approach. The results showed that testmonium de auditu statement actually did not have the same evidentiary power as a factual witness, but because of the constitutional court decision that acknowledged the evidence of testmonium de auditu witness, the statement could be considered which in this case can be used as evidence in criminal trial accordance with what is in the criminal procedure code. The importance of witnesses does not lie in their own statements, but in the relevance of their statements to criminal cases that are being processed so that judges in assessing a criminal case do not rely solely on belief but must be based on the search for material truth in accordance with legal objectives in KUHAP.

Keywords: Evidence, Testimonium De Auditu, Criminal Procedure Code (KUHAP).
Úrad centrálnej logistiky
Authors: Križan Stanislav
Published: December 2023

While the term logistics is currently widely used among the general public, the expression military logistics is barely used. However, military logistics plays an irreplaceable role in military operations, because it guarantees that supplies or military material reach their destination on time and meet all the required quantity and quality criteria. This also applies to the provision of medical care and accommodation of military personnel. The supply process embraces all stages in the provision and servicing of military material, including repairs and maintenance. The first part of the paper describes how has been logistics perceived over the years, and explains the difference between civil and military logistics. The second part is devoted to the legislation concerning the Ministry of Defence of the Slovak Republic and describes particular departments of the Ministry of Defence participating in solving logistics tasks. The third part focuses on the role of the Central Logistics Department within the Ministry of Defence. The final part defines current challenges and problems in logistics.
Ekonomické implikácie zaisťovania bezpečnosti
Authors: Ivančík Radoslav
Published: December 2023

Continuous deterioration of the global and regional security environment and security situation in the 21st century under the influence of several events (e.g., military and civil conflicts, terrorist attacks in many countries and cities of the world, increase in cross-border organized crime, cyber and other sophisticated forms of crime, illegal migration, etc.) has caused security to be an increasingly large and expanding area of economic activity. As a result of the more intense perception of growing physical and cyber threats, the non-solution or insufficient solution of several pressing problems and the increasingly free movement of goods, capital and people, there has been an increase in public and private spending on security goods and services in recent years. For this reason, the goal of the author of the paper, using relevant methods of scientific research, is to point out the economic implications of ensuring safety
Acesso avançado na Atenção Primária de São Bernardo do Campo/SP
Authors: Navajas de Sá Leite Bárbara , Martins de Oliveira Viana Mônica
Published: December 2023

O artigo aborda o tema Acesso Avançado (AA), implantado em 2019 em São Bernardo do Campo (SBC), e tem como objetivo analisar a percepção das equipes a respeito desse dispositivo para organização da demanda na Atenção Primária. Por meio da aplicação dequestionários, pôde-se observar que todos os integrantes da equipe participavam da prática do AA. As principais dificuldades apontadas envolviam a alta rotatividade de profissionais, defasagem do quadro de RH e espaço físico inadequado. Frente às dificuldades, as equipes encontraram, por iniciativa própria, soluções destinadas à melhoria da prática do AA e passaram a percebê-lo como arranjo para fortalecimento de vínculo e resolutividade no cuidado ao usuário. Ações envolvendo educação permanente, apropriação da prática pela equipe e uso de espaços físicos externos às UBS potencializaram a prática deste dispositivo. Diante desses resultados, o estudo concluiu que a implantação bem-sucedida do AA depende da disponibilidade dos gestores em prover boas condições de trabalho, e habilidade para incorporar algumas modificações que permitam a singularização do dispositivo para a realidade local. O enrijecimento na organização do trabalho tende a inviabilizar as potencialidades do AA.
Estratégias de fortalecimento de Saúde do Trabalhador e da Trabalhadora
Authors: Trapé Carla Andrea , Dos Santos Narciso Kátia Regina , Cordeiro Luciana , Grando Gaiotto Emiliana Maria
Published: December 2023

A saúde do trabalhador é determinada pela forma de organização do processo de trabalho no contexto do modo de produção capitalista, processo que gera sucessivos desgastes, inclusive na área da saúde. Objetiva-se apresentar o processo de elaboração de propostas de enfrentamento do desgaste do trabalhador da Atenção Primária em Saúde, por meio de pesquisa de implementação e da pesquisa participante, com vistas às transformações dos processos de trabalho. Realizou-se sete oficinas emancipatórias para instrumentalização dos trabalhadores com vistas à implementação de estratégias de fortalecimento de saúde dessa população, validadas em diálogo deliberativo, com trabalhadores de uma unidade de saúde da família. O processo educativo foi analisado captando-se os desgastes dos trabalhadores e elencando suas causas sob sua própria óptica, as quais foram se complexificando ao longo do processo, em direção à compreensão das raízes dos desgastes. Foi elaborado documento norteador para apoiar a realização de oficinas, de forma a preparar os trabalhadores para processos de implementação, constituindo o produto apresentado ao programa de mestrado profissional ao qual a pesquisa se vincula. As oficinas se apresentaram como instrumento potente de transformação da compreensão sobre a saúde do trabalhador e as formas de enfrentamento dos desgastes que estes sofrem.
Hospitalizações e óbitos associados à influenza no Brasil
Authors: De Paula Júnior Francisco José , Descalzo Miguel Angel , Jara Jorge , Da Silva Erica Tatiane
Published: December 2023

Objetivo: Estimar a incidência de hospitalizações e óbitos associados à influenza no Brasil de 2010 a 2016. Método: Foram utilizadosregistros de altas hospitalares e óbitos pelos códigos CID J09-J18, dados de vigilância laboratorial de influenza e projeçõescensitárias populacionais ajustadas pelo percentual de usuários de serviços públicos de saúde. Foi realizada meta-análise paradeterminar as incidências de hospitalizações e óbitos por faixa etária nas cinco regiões geográficas do Brasil. Resultados: As estimativas foram de 645.661 hospitalizações e 160.089 óbitos por influenza, de 2010 a 2016. As maiores incidências de internaçãoocorreram em idosos com ≥65 anos (258,6/100.000) e crianças <5 anos (180,1/100.000), enquanto os óbitos se destacaram entreos indivíduos de ≥65 anos (142,9/100.000) e de 50 a 64 anos (22,1/100.000). Foram encontradas diferenças regionais, comas taxas mais elevadas nas regiões Centro-Oeste, Sudeste e Sul. Conclusão: A carga da influenza no Brasil é preocupante, com elevado número de hospitalizações e óbitos pela doença. As diferenças regionais e de faixa etária fornecem evidências para apoiar apolítica de vacinação e o aprimoramento do sistema de vigilância da influenza.
Competências percebidas na condução de rodas de conversas para a promoção da saúde
Authors: Pereira da Cunha Inara , Cândida Barsante Moreno Ortega Anna , Atz dos Santos Ana Cristina , Silva de Castro Diego , Rondon Neto Edmundo , Ribeiro da Silva Eliane Kelly , Espíndola dos Santos Jumara , Pereira Alves Maria Bethânia , Dupas Gonçalves do Nascimento Débora , Do Valle Leone de Oliveira Sandra Maria
Published: December 2023

O estudo discute as competências envolvidas na condução de rodas de conversas. Trata-se de um relato analítico e reflexivo desenvolvido a partir das experiências dos estudantes da disciplina de Promoção da Saúde de um programa de Mestrado Profissional em Saúde da Família, Mato Grosso do Sul, Brasil. As experiências foram registradas no formato de relatórios de experiências e enfatizaram o uso de rodas de conversas em Unidades de Saúde da Família. A partir do corpus documental, foram levantados o público- alvo, temáticas/objetivos e quatro competências aplicadas para o desenvolvimento das rodas de conversa, a saber: aprender a conhecer, aprender a fazer, aprender a conviver, e aprender a ser. Observou-se que o público-alvo e as temáticas desenvolvidas nas rodas de conversas foram relacionados a situação epidemiológica do território. Ainda, foi identificado que a técnica é frequentemente baseada no referencial teórico de Paulo Freire, com etapas sistematizadas. As competências de saber conhecer e saber fazer foram desafiantes. As competências saber conviver e ser destacaram- se positivamente nas experiências descritas. Por fim, as experiências revelaram que há competências que precisam ser aprimoradas para a condução de rodas de conversas, com vistas a alcançar o seu potencial transformador.
Equilíbrio postural pelo Mini – Balance Evaluation Systems Test (Mini-BESTest)
Authors: Pereira da Silva Aline Juliane , Pimentel Bergamaschi Denise , Bianconcini Trindade Maria Angela
Published: December 2023

Introdução: A hanseníase, doença infectocontagiosa crônica, pode provocar diminuição da sensibilidade e alterações motoras com comprometimento do equilíbrio. Um instrumento de avaliação clínica chamado Mini-BESTest é aplicável ao diagnóstico e acompanhamento do comprometimento do equilíbrio postural. Objetivo: Avaliar o equilíbrio dinâmico em pessoas com hanseníase pelo desempenho no Mini-BESTest nos subsistemas: ajuste postural antecipatório; respostas posturais reativas; orientação sensorial e estabilidade na marcha. Métodos: Aplicou-se o Mini-BESTest em 54 usuários do SUS, em seguimento para hanseníase e em Avaliação Neurológica Simplificada (ANS). O Grau de Incapacidade Física (GIF), obtido pela ANS, classificou as pessoas com presença e ausência de incapacidade. Utilizaram-se escores do Mini-BESTest relativos ao total de pontos por subsistema. Resultados: A análise univariada indicou que idades maiores apresentaram escores menores e a análise multivariada mostrou que a ANS é importante na explicação dos escores, controlando-se sexo e idade, onde escores menores, nos quatro subsistemas, ocorreram entre pessoas com incapacidade. Conclusões: O Mini-BESTest indica diminuição do equilíbrio dinâmico entre pessoas com hanseníase,com incapacidade física. Seu uso pode orientar a prática clínica do fisioterapeuta. Potencial de aplicabilidade: O Mini-BESTest, método barato, de fácil e rápida aplicação, é capaz de contribuir para o aprimoramento dos cuidados em hanseníase.