bluuebunny/crossref_metadata_2025 huggingface dataset:
JOGOS ELETRÔNICOS COMO ESPORTE GENUÍNO E NÃO MERO ENTRETENIMENTO
Authors: Souza Victor Hugo Gomes de
Published: December 2023

Este estudo tem como objetivo geral analisar se os jogos eletrônicos podem ser considerados um esporte genuíno ou se são apenas uma forma de entretenimento. A motivação pelo tema deu-se em razão da popularidade crescente e o reconhecimento dos jogos eletrônicos como forma de entretenimento que acabou legitimando o reconhecimento dessa atividade como um esporte genuíno em outros países. A metodologia empregada nesse estudo compreendeu como uma pesquisa descritiva, com abordagem qualitativa, onde o levantamento bibliográfico foi realizado em um recorte de tempo, indexada nos bancos de dados SciELO (Scientific Eletronic Library OnLine), PePSIC (Períodicos Eletrônicos em Psicologia) e Google Acadêmico com publicações no período de 2017 a 2023. Ao concluir este estudo chegou-se ao entendimento de que o reconhecimento dos jogos eletrônicos como esporte envolve uma análise profunda de diversos aspectos legais que vão desde a definição do esporte, a regulamentação das competições o reconhecimento dos jogadores como atletas e até mesmo a proteção dos seus direitos.
SEPARAÇÃO OBRIGATÓRIA DOS NUBENTES MAIORES DE 70 ANOS E SUA (IN)COMPATIBILIDADE COM AS MUDANÇAS SOCIODEMOGRÁFICAS
Authors: Nascimento Jéssica Silva , Santos Dartagnan Plínio Souza
Published: December 2023

O objetivo deste estudo consiste em examinar a concordância do artigo 1641, Inciso II, que trata da imposição da separação de bens para os cônjuges com mais de 70 anos de idade, com a atual inversão da pirâmide etária brasileira e o aumento da expectativa de vida. Para isto, a metodologia utilizada será a revisão bibliográfica, por meio das análises de dados, reflexão sobre a  lei e análise dos entendimentos jurisprudenciais do STF e STJ. A importância desse tema reside na necessidade de uma análise mais abrangente e reflexiva em relação aos idosos, diante das recentes mudanças sociodemográficas e jurisprudenciais perante a legislação que impõe a separação obrigatória, tendo em vista as constantes mudanças da sociedade. Desse modo, questiona-se a existência da defasagem da norma para com a realidade atual e as suas mudanças. E se é necessária uma revisão na Lei nº 12.344 de 2010, frente ao significativo aumento da expectativa de vida. Portanto, o resultado esperado é evidenciar a defasagem da norma, o aumento da longevidade e a nova estruturação sociológica proveniente da inversão da pirâmide etária. Assim, constatou-se haver uma incompatibilidade da lei que impõe a separação obrigatória de bens aos nubentes maiores de 70 anos com o cenário atual da sociedade brasileira.
CONTRIBUIÇÕES PARA O GERENCIAMENTO DA ASSISTÊNCIA VISANDO A SEGURANÇA DO PACIENTE EM SITUAÇÕES DE URGÊNCIA E EMERGÊNCIA - REVISÃO INTEGRATIVA DE LITERATURA
Authors: Silva Jeanne Dias Moreira , Porto Mateus Luciano , Silva Elaine Reda
Published: December 2023

A crescente demanda por serviços na área de urgência e emergência, nos últimos anos, associado à insuficiente estruturação da rede, são fatores que têm contribuído decisivamente para a sobrecarga desses serviços, podendo comprometer a segurança do paciente. Assim, este estudo teve como objetivo analisar as produções científicas que possam contribuir para o gerenciamento da assistência, visando a segurança do paciente em situações de urgência e emergência. Tratou-se de uma revisão integrativa da literatura através da base de dados Biblioteca Virtual em Saúde (BVS), realizada no mês de maio de 2023. Os resultados encontrados neste estudo destacaram os seguintes temas: “erros e ações seguras relacionados à prescrição, preparo e administração de medicamentos” (4); “comunicação efetiva para a segurança do paciente”(4); “fatores que contribuem para os eventos adversos” (2); “percepção dos enfermeiros sobre segurança do paciente (2); “estratégias voltadas para a segurança do paciente” (2); “assuntos gerais sobre segurança do paciente” (1); “identificação segura do paciente” (1); “Cultura de Segurança do Paciente” (2) e “Núcleo de Segurança do Paciente (NSP)” (1). Conclui-se, portanto, que torna-se importante conhecer os riscos que afetam a segurança do paciente nas unidades de urgência e emergência, visando a implementação de medidas que possam melhorar o gerenciamento da segurança nas instituições.
Investigation of spatial and temporal variability in lower tropospheric ozone from RAL Space UV–Vis satellite products
Authors: Pope Richard J. , Kerridge Brian J. , Siddans Richard , Latter Barry G. , Chipperfield Martyn P. , Feng Wuhu , Pimlott Matilda A. , Dhomse Sandip S. , Retscher Christian , Rigby Richard
Published: December 2023

Abstract. Ozone is a potent air pollutant in the lower troposphere and an important short-lived climate forcer (SLCF) in the upper troposphere. Studies using satellite data to investigate spatiotemporal variability of troposphere ozone (TO3) have predominantly focussed on the tropospheric column metric. This is the first study to investigate long-term spatiotemporal variability in lower tropospheric column ozone (LTCO3, surface–450 hPa sub-column) by merging multiple European Space Agency–Climate Change Initiative (ESA-CCI) products produced by the Rutherford Appleton Laboratory (RAL) Space. We find that in the LTCO3, the degree of freedom of signal (DOFS) from these products varies with latitude range and season and is up to 0.8, indicating that the retrievals contain useful information on lower TO3. The spatial and seasonal variation of the RAL Space products are in good agreement with each other, but there are systematic offsets of up to 3.0–5.0 DU between them. Comparison with ozonesondes shows that the Global Ozone Monitoring Experiment (GOME-1, 1996–2003), the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY, 2003–2010) and the Ozone Monitoring Instrument (OMI, 2005–2017) have stable LTCO3 records over their respective periods, which can be merged together. However, GOME-2 (2008–2018) shows substantial drift in its bias with respect to ozonesondes. We have therefore constructed a robust merged data set of LTCO3 from GOME-1, SCIAMACHY and OMI between 1996 and 2017. Comparing the LTCO3 differences between the 1996–2000 and 2013–2017 5-year averages, we find sizeable positive increases (3.0–5.0 DU) in the tropics/sub-tropics, while in the northern mid-latitudes, we find small-scale differences in LTCO3. Therefore, we conclude that there has been a substantial increase in tropical/sub-tropical LTCO3 during the satellite era, which is consistent with tropospheric column ozone (TCO3) records from overlapping time periods (e.g. 2005–2016).
Drivers of late Holocene ice core chemistry in Dronning Maud Land: The context for the ISOL-ICE project
Authors: Winton V. Holly L. , Mulvaney Robert , Savarino Joel , Clem Kyle R. , Frey Markus M.
Published: December 2023

Abstract. Quantifying the natural variability of the stratospheric ozone layer and understanding the underlying factors that control natural total column ozone (TCO) variability are required to put modern observations into historical context and evaluate the effectiveness of climate and TCO protection policies. Within the framework of the Isotopic Constraints on Past Ozone Layer in Polar Ice (ISOL-ICE) project, we present initial ice core results from the new ISOL-ICE ice core covering the last millennium from the high-elevation Dronning Maud Land (DML) located under the Antarctic spring stratospheric TCO minimum, and discuss the implications for interpreting the stable isotopic composition of nitrogen in ice core nitrate (δ15N(NO3-)) as a surface ultra-violet radiation (UV) and TCO proxy. To interpret the ice core δ15N(NO3-) record, an understanding of past snow accumulation changes, as well as aerosol source regions and present-day drivers of their variability are required. We therefore report here the ice core age-depth model, the snow accumulation and ice chemistry records, and correlation analysis of these records with climate variables over the observational era (1979–2016). The ISOL-ICE ice core covers the last 1349 years from 668 to 2017 C.E. ± 3 years extending previous ice core records from the region by two decades and shows excellent reproducibility with those records. The extended ISOL-ICE record of last two decades showed a continuation of the methanesulphonate (MSA) increase from ~1800 to present while there were less frequent large deposition events of sea salts relative to the last millennium. The correlation analysis, combined with the finding that sea salts do not carry a sea ice signature to the site, highlight that sea salt and MSA aerosol concentrations are primarily related to atmospheric transport over the extended two-decade period and not to changes in sea ice source strength. Correlation of the snow accumulation record with climate variables over the observational era showed that precipitation at ISOL-ICE is predominately derived from the South Atlantic with onshore winds delivering marine air masses to the site. The snow accumulation rate was stable over the last millennium with no notable trends over last two decades relative to the last millennium. Interannual variability in the accumulation record, ranging between 2 and 20 cm a−1 (w.e.), would influence the ice core δ15N(NO3-) record. The mean snow accumulation rate of 6.5 ± 2.4 cm a-1 (w.e.) falls within the range suitable for reconstructing surface mass balance from ice core δ15N(NO3-) highlighting that the ISOL-ICE ice core δ15N(NO3-) can be used to reconstruct either the snow accumulation rate or surface UV if the ice core δ15N(NO3-) is corrected for the snow accumulation influence.
Merged Observatory Data Files (MODFs): An Integrated Observational Data Product Supporting Process-Oriented Investigations and Diagnostics
Authors: Uttal Taneil , Hartten Leslie M. , Khalsa Siri Jodha , Casati Barbara , Svensson Gunilla , Day Jonathan , Holt Jareth , Akish Elena , Morris Sara , O'Connor Ewan , Pirazzini Roberta , Huang Laura X. , Crawford Robert , Mariani Zen , Godøy Øystein , Tjernström Johanna A. K. , Prakash Giri , Hickmon Nicki , Maturilli Marion , Cox Christopher J.
Published: December 2023

Abstract. A large and ever-growing body of geophysical information is measured on campaigns and at specialized observatories as a part of scientific expeditions/experiments. These collections of observed data include many essential climate variables (as defined by the World Meteorological Organization), but are often distinguished by a wide range of additional non-routine measurements that are designed to not only document the state of the environment, but also the drivers that contribute to that state. These field data are not only used to further understand the environmental processes through observation-based studies, but also to provide baseline data to test model performance and to codify understanding to improve predictive capabilities. To address the considerable barriers and difficulty in utilizing these diverse and complex data for observation-model research, the Merged Observatory Data File (MODF) concept has been developed. The MODF combines measurements from multiple instruments into a single file that complies with well-established data format and metadata practices and has been designed to parallel development of corresponding Merged Model Data Files (MMDFs). Using MODF and MMDF protocols will facilitate the evolution of Model Intercomparison Projects into Model Intercomparison and Improvement Projects by putting observation and model data ‘on the same page’ in a timely manner. The MODF concept was developed especially for weather forecast model studies in the Arctic. The surprisingly complex process of implementing MODFs in that context refined the concept itself. Thus this article explains the concept of MODFs by providing details on the issues that were revealed and resolved during this first specific implementation. Detailed instructions are provided on how to make MODFs, and this article can thus be considered a MODF creation manual.
Learning-based prediction of the particles catchment area of deep ocean sediment traps
Authors: Picard Théo , Gula Jonathan , Fablet Ronan , Collin Jeremy , Mémery Laurent
Published: December 2023

Abstract. The ocean biological carbon pump plays a major role in climate and biogeochemical cycles. Photosynthesis at the surface produces particles that are exported to the deep ocean by gravity. Sediment traps, which measure the deep carbon fluxes, help to quantify the carbon stored by this process. However, it is challenging to precisely identify the surface origin of particles trapped thousands of meters deep because of the influence of ocean circulation on the carbon sinking path. In this study, we conducted a series of numerical Lagrangian experiments in the Porcupine Abyssal Plain region of the North Atlantic and developed a machine learning approach to predict the surface origin of particles trapped in a deep sediment trap. Our numerical experiments support its predictive performance, and surface conditions appear to be sufficient to accurately predict the source area, suggesting a potential application with satellite data. We also identify potential factors that affect the prediction efficiency and we show that the best predictions are associated with low kinetic energy and the presence of mesoscale eddies above the trap. This new tool could provide a better link between satellite-derived sea surface observations and deep sediment trap measurements, ultimately improving our understanding of the biological carbon pump mechanism.
Electron backscatter diffraction analysis combined with NanoSIMS U–Pb isotope data reveal intra-grain plastic deformation in zircon and its effects on U–Pb age: examples from Himalayan eclogites, Pakistan
Authors: Rehman Hafiz U. , Kagoshima Takanori , Takahata Naoto , Sano Yuji , Barou Fabrice , Mainprice David , Yamamoto Hiroshi
Published: December 2023

Abstract. Zircon grains preserve records of crystallization, growth, and/or deformation that can be envisaged from their internal structures and through the U–Pb isotope analysis. Electron backscatter diffraction (EBSD) is a non-destructive method for visualizing undeformed domains to differentiate them from those that are plastically deformed. In this study, we report EBSD analyses conducted on zircon grains, in thin sections with available textural information, from Himalayan eclogites. The studied eclogite samples show no petrographic evidence of shearing or mylonitization. However, several zircon grains preserve plastically deformed domains. These deformed domains display several degrees of misorientation relative to the undeformed domain and yielded geologically reset ages when analysed for U–Pb isotope ratios using nanoscale secondary ion mass spectrometry (NanoSIMS), in contrast to most undeformed domains which retained the protolith age. The degree of resetting is positively correlated with the extent of misorientation. These pieces of evidence indicate that plastic deformation in zircon grains, equilibrated at higher pressure–temperature conditions, affected the primary geochemical and geochronological records. Based on these observations, we assume that not only regional shearing/mylonitization in metamorphic rocks affects the geochemical records, but also that zircon grains in apparently unsheared high-grade metamorphic rocks behave plastically. The micro-scale intra-grain plastically deformed domains can easily be identified through EBSD analysis in the form of crystallographic misorientations. To extract meaningful geochronological results, it is necessary to identify undisturbed domains in zircon grains before applying any destructive analytical method.
High-resolution mapping of global winter-triticeae crops using a sample-free identification method
Authors: Fu Yangyang , Chen Xiuzhi , Song Chaoqing , Huang Xiaojuan , Dong Jie , Peng Qiongyan , Yuan Wenping
Published: December 2023

Abstract. Winter-triticeae crops, such as winter wheat, winter barley, winter rye, and triticale, are important in human diets and planted worldwide, and thus accurate spatial distribution information of winter-triticeae crops is crucial for monitoring crop production and food security. However, there is still a lack of global high-resolution maps of winter-triticeae crops because of the reliance of existing crop mapping methods on training samples, which limits their application at the global scale. In this study, we propose a new method based on the Winter-Triticeae Crops Index (WTCI) for global winter-triticeae crops mapping. This is a new sample-free method for identifying winter-triticeae crops based on differences in their normalized difference vegetation index (NDVI) characteristics from the heading to the harvesting stages and those of other types of vegetation. Based on this new method, we produced the first global 30 m resolution distribution maps of winter-triticeae crops from 2017 to 2022. Validation in 65 countries worldwide indicated that the method exhibited satisfying performance and stable spatiotemporal transferability, with producer’s accuracy, user’s accuracy and overall accuracy of 81.12 %, 87.85 % and 87.7 %, respectively. The identified area of winter-triticeae crops was consistent with the agricultural statistical area in almost all investigated counties or regions, and the correlation coefficient (R2) between the identified area and the statistical area was over 0.6, while the relative mean absolute error (RMAE) was less than 30 % in all six years. Overall, this study provides a reliable and automatic identification method for winter-triticeae crops without any training samples. The high-resolution distribution maps of global winter-triticeae crops are expected to support multiple agricultural applications. The distribution maps can be obtained at https://doi.org/10.57760/sciencedb.12361 (Fu et al., 2023a).
Using repeat UAV-based laser scanning and multispectral imagery to explore eco-geomorphic feedbacks along a river corridor
Authors: Tomsett Christopher , Leyland Julian
Published: December 2023

Abstract. Vegetation plays a critical role in the modulation of fluvial process and morphological evolution. However, adequately capturing the spatial and temporal variability and complexity of vegetation characteristics remains a challenge. Currently, most of the research seeking to address these issues takes place at either the individual plant scale or via larger-scale bulk roughness classifications, with the former typically seeking to characterise vegetation–flow interactions and the latter identifying spatial variation in vegetation types. Herein, we devise a method which extracts functional vegetation traits using UAV (uncrewed aerial vehicle) laser scanning and multispectral imagery and upscale these to reach-scale functional group classifications. Simultaneous monitoring of morphological change is undertaken to identify eco-geomorphic links between different functional groups and the geomorphic response of the system. Identification of four groups from quantitative structural modelling and two further groups from image analysis was achieved and upscaled to reach-scale group classifications with an overall accuracy of 80 %. For each functional group, the directions and magnitudes of geomorphic change were assessed over four time periods, comprising two summers and winters. This research reveals that remote sensing offers a possible solution to the challenges in scaling trait-based approaches for eco-geomorphic research and that future work should investigate how these methods may be applied to different functional groups and to larger areas using airborne laser scanning and satellite imagery datasets.
A Grid Model for Vertical Correction of Precipitable Water Vapor over the Chinese Mainland and Surrounding Areas Using Random Forest
Authors: Li Junyu , Wang Yuxin , Liu Lilong , Yao Yibin , Hang Liangke , Li Feijuan
Published: December 2023

Abstract. Various ground-based observing techniques provide precipitable water vapor (PWV) products with different spatial resolutions. To effectively integrate these products, especially in terms of vertical orientation, spatial interpolation is essential. In this context, we have developed a model to characterize PWV variation with altitude in the study area. Our model, known as RF-PWV (a PWV vertical correction grid model with a 1° x 1° resolution), is constructed using random forest based on the relationship between PWV differences from the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) monthly average hourly data and height differences and time. When validated against 1-h ERA5 PWV profiles, RF-PWV exhibits a 99.84 % reduction in Bias and a 63.41 % decrease in RMSE compared to the most recent model, C-PWVC1. Furthermore, when validated against radiosonde data, RF-PWV shows a 96.36 % reduction in Bias and a 5 % decrease in RMSE compared to C-PWVC1. Additionally, RF-PWV outperforms C-PWVC1 in terms of resistance to seasonal and height differences interference. The model eliminates the need for meteorological parameters, allowing for high-precision PWV vertical correction by inputting only time and height differences. Consequently, RF-PWV can significantly reduce errors in vertical correction, enhance PWV fusion product accuracy, and provide insights into PWV vertical distribution, thereby contributing to climate research.
DEVELOPMENT OF A MACHINE VISION SYSTEM FOR DAMAGE AND OBJECT DETECTION IN TUNNELS USING CONVOLUTIONAL NEURAL NETWORKS
Authors: Alidoost F. , Hahn M. , Austen G.
Published: December 2023

Abstract. Tunnel inspection, i.e. detection of damages and defects on concrete surfaces, is essential for monitoring structural reliability and health conditions of transport facilities, thus providing safe and sustainable urban transportation infrastructures. In this study, an innovative visual-based system is developed for damage and object detection tasks in roadway tunnels based on deep learning techniques. The main components of the developed Machine Vision System such as industrial cameras, flash-based light sources, controller, the synchronization unit and corresponding software programs are designed to collect high-resolution images with sufficient quality from dimly lit tunnel environments in normal traffic flows with an operating speed of 30–50 km/h. Unlike recent studies, the training data includes multiple types of damage such as cracks, spalling, rust, delamination and other surface changes. Furthermore, 10 classes of common tunnel objects including traffic signs, traffic cameras, traffic lights, ventilation ducts, various sensors and cables are labeled for object detection. As state-of-the-art Convolutional Neural Networks, DeepLab and U-Net are trained and evaluated using accuracy metrics for image segmentation. The results highlight the most important parameters of the discussed Machine Vision System as well as the performance of DeepLab and U-Net for object and damage detection.
HACR-MDL: HANDWRITTEN ARABIC CHARACTER RECOGNITION MODEL USING DEEP LEARNING
Authors: Elagamy M. N. , Khalil M. M. , Ismail E.
Published: December 2023

Abstract. Despite the enormous effort and prior research, Arabic handwritten character recognition still has a deep, wide-ranging, and untapped scope for study owing to the enormous challenges faced in this research area. The reason for such challenges is that the Arabic script comprises 28 alphabets, each of which can be written in two to four different forms depending on where it appears in a word—beginning, middle, end, or isolated. The Convolutional Neural Network (CNN or ConvNet) is a subtype of neural network that is commonly used in image classification, speech recognition, video processing, object detection, and segmentation because its built-in convolutional layer reduces the high dimensionality of images without losing significant information. Hence, the scope of this study is to examine the classification performance of various deep CNN models on offline handwritten Arabic character recognition. Based on the experimental comparative studies, this research proposes a Handwritten Arabic Character Recognition Model using Deep Learning (HACR-MDL), a modified CNN model. The proposed model is trained and tested using the AHCD dataset achieving an accuracy of 98.54%. The results achieved showed that HACR outperformed the recent research offline handwritten Arabic character recognition in terms of model complexity, speed, model parameters, and performance metrics.
THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PRESERVING CULTURAL HERITAGE AND ART WORKS VIA VIRTUAL RESTORATION
Authors: Gaber J. A. , Youssef S. M. , Fathalla K. M.
Published: December 2023

Abstract. Artifacts including paintings, drawings, prints, mosaics, sculptures, historical structures and monuments, as well as archaeological sites present a key part of our cultural heritage. It consists of Intangible culture (such as folklore, traditions, language, and knowledge), tangible culture (such as buildings, monuments, landscapes, archival materials, books, works of art, and artifacts), and natural heritage (such as biodiversity and culturally significant landscapes) .Now we will concentrate on tangible culture and its problems and how to handle them. One of its biggest problems is that over the years the nature of the materials used in the creation of the artwork make them prone to cracks, fractures, stains, and colors fading and blurring. The causes of their damage could be of natural or human- related reasons. The natural causes range from war, fires, earthquakes, natural disasters and the human-related causes range from accidental events like to pollution which results of climate changes, which like acid rain. It is a must to consider the environment in which you store your artwork. Our regular environment's light, heat, moisture, and pollution levels can lead to harmful chemical and physical reactions in artwork. There are several reasons why it is necessary to preserve ancient works of art. The fact that it enables us to comprehend the historical and cultural context of the era in which it was made is one of the key factors. Then preserving our artworks is a must and this can be done by manual techniques or using machine learning algorithms.
CULTURAL HERITAGE VISUALIZATION AND VIRTUAL RESTORATION - PHOTOGRAMMETRY AND LIDAR FOR STONE SLAB HOUSES AND OLD PAIWAN INDIGENEOUS SETTLEMENTS, TAIWAN
Authors: Lu A. H. , Yao L.-C. , Liu S. S.
Published: December 2023

Abstract. When large scale of UAV photogrammetry and Lidar for mapping a Taiwanese aboriginal settlement with stone slab houses has been carried out, terrestrial 3D photogrammetry and scanning are applied to middle and small-scale recording individual buildings to get architectural form with decorations in detail . When constructing the basic data of cultural assets, especially in the mountain area, it is necessary to apply new technology to carry out efficient and accurate settlement mapping works. In this paper, taking an old Paiwan aboriginal settlement an example, a detailed examination of a stone slab house with three different 3D techniques is put into practice. The 3D data can be further used for digital archive, virtual presentation, and data query through network resources. The results of this study show that, in a large-scale of settlement surveys, aerial surveying technology is efficient for constructing the topography of a settlement and provides competent and spatial information of authentic landscape form, while terrestrial photogrammetry and scanning for middle and small scales record individual buildings to provide more details of architectural forms. They both together construct authentic landscape and architectural form of a settlement and furthermore are able to reveal the hidden settlements of archaeological sites under dense forests. The application of 3D technology, greatly increasing the efficiency and accuracy of mapping and recording, is very much helpful for visualization, virtual restoration, and conservation of indigenous settlements cultural heritage, especially in such high and steep forest.
A COMPARISON OF PRE-PROCESSING APPROACHES FOR REMOTELY SENSED TIME SERIES CLASSIFICATION BASED ON FUNCTIONAL ANALYSIS
Authors: Balestra M. , Pierdicca R. , Cesaretti L. , Quattrini G. , Mancini A. , Galli A. , Malinverni E. S. , Casavecchia S. , Pesaresi S.
Published: December 2023

Abstract. Satellite remote sensing has gained a key role for vegetation mapping distribution. Given the availability of multi-temporal satellite data, seasonal variations in vegetation dynamics can be used trough time series analysis for vegetation distribution mapping. These types of data have a very high variability within them and are subjected by artifacts. Therefore, a pre-processing phase must be performed to properly detect outliers, for data smoothing process and to correctly interpolate the data. In this work, we compare four pre-processing approaches for functional analysis on 4-years of remotely sensed images, resulting in four time series datasets. The methodologies presented are the results of the combination of two outlier detection methods, namely tsclean and boxplot functions in R and two discrete data smoothing approaches (Generalized Additive Model ”GAM” on daily and aggregated data). The approaches proposed are: tsclean-GAM on aggregated data (M01), boxplot-GAM on aggregated data (M02), tsclean-GAM on daily data (M03), boxplot-GAM on daily data (M04). Our results prove that the approach which involves tsclean function and GAM applied to daily data (M03) is ameliorative to the logic of the procedure and leads to better model performance in terms of Overall Accuracy (OA) which is always among the highest when compared with the others obtained from the other three different approaches.
RESEARCH ON EFFICIENT INDEXING OF LARGE-SCALE GEOSPATIAL DATA BASED ON MULTI-LEVEL GEOGRAPHIC GRID
Authors: Gao Y. , Duo H. , Che J. , Zhao S. , Zhao B.
Published: December 2023

Abstract. With the implementation of unified natural resource management in China, national geographic conditions monitoring data have been identified as fundamental data for natural resource survey and monitoring. The efficiency of information extraction from massive spatio-temporal data to support natural resource management has emerged as a critical indicator for maximizing the value of geographic conditions monitoring data and enhancing data-driven decision management. Traditional spatial indices are computationally intensive, and when confronted with immense data volume or uneven data scale, issues such as extensive index computations and poor scale adaptability arise, impeding the efficient retrieval of complex geospatial data. In response to the need for efficient indexing of massive geospatial monitoring data at a scale of 100 million, a multi-level geographic spatial index framework based on geographic grids is proposed. Within the geographic conditions spatio-temporal database, a three-level spatial index of "zone-grid-space" is constructed, utilizing massive land cover data for analysis and testing. The results demonstrate that the multi-level spatial index method exhibits excellent scale adaptability, and grid coding dimensionality reduction and numerical operations effectively reduce the computational load of spatial retrievals of complex vector patches. This method significantly improves the retrieval efficiency of large-scale national geographic conditions data, providing an efficient technique for lightweight information extraction of large-scale monitoring geospatial data within spatial computing systems. The method holds reference value for on-demand retrieval, analysis, and decision-making of natural resource spatio-temporal big data.
La formación de las regiones transfronterizas: la experiencia latinoamericana
Authors: Dilla Alfonso Haroldo , Chavez Mariel
Published: December 2023

Este articulo discute la naturaleza y factores determinantes de las regiones transfronterizas a partir de la interacción de factores estructurantes diversos al calor de la historia, las escalas y las realidades sociológicas regionales. Tras un análisis de los procesos ocurridos en Norteamérica y Europa, el texto discute la especificidad latinoamericana a partir de la inexistencia en el continente de proyectos políticos posnacionales o de fuertes estrategias de acumulación que comprometan las fronteras. En cambio, en América Latina las regiones transfronterizas se estructuran desde una multiplicidad de procesos y relaciones “micros” dados en el ámbito de la cotidianeidad, lo que plantea retos heurísticos en varios sentidos, y entre ellos, de manera destacada, situaciones como los procesos de feminización de los circuitos transfronterizos y la fuerte presencia en ellos de los pueblos originarios con sus visiones territoriales específicas.
Formação continuada em serviço para educação inclusiva com professores de salas multisseriadas
Authors: Prais Jacqueline Lidiane de Souza , Aguiar Fabiano Sales de , Johnson Luanna Freitas
Published: December 2023

Este artigo aborda o tema da formação continuada em serviço direcionada à educação especial na perspectiva educação inclusiva. Apresenta como objetivo analisar os efeitos formativos de um projeto de extensão sobre inclusão de alunos com deficiência desenvolvido com professores de um município de Rondônia, atuantes em salas multisseriadas. Adota os procedimentos da pesquisa participantes envolvendo 31 professores. Para coleta de dados, foram utilizadas notas de campo e entrevistas compostas pelo registro de falas dos participantes, bem como, atividades desenvolvidas no Projeto de Extensão. Na interpretação dos dados é empregada a análise de conteúdo sistematizados em três categorias: a) Perfil dos participantes; b) O contexto real e o necessário para a inclusão nas salas multisseriadas; c) Avaliação do processo formativo como estratégia de implementação da inclusão. Os docentes destacam a carência formativa na área da educação especial, falta de oferta de atendimento educacional especializado e de apoio pedagógico e necessidade de ter um profissional especialista para desenvolver o trabalho colaborativo como principais aspectos dificultadores para implementação da educação inclusiva. Conclui que a proposta formativa foi avaliada de forma positiva, visto que ofereceu conhecimentos para compreensão das necessidades do contexto real vivenciado pelos participantes e estabeleceu uma parceria colaborativa para a formação docente.
Application of the DPSIR approach to identify pressures on water resources in the Drina river basin
Authors: Stepanović Milica , Bajić Dragoljub , Blagojević Momčilo , Bajić Sanja
Published: December 2023

As the global population grows, we are witnessing rapid urbanization and the development of industry and agriculture. Novel, largely toxic substances are being used in agriculture to improve yields. All of this has led to the generation of large amounts of pollutants that need to be disposed of and treated. Irresponsible behavior and discharges into nature and river channels not clearly defined by law or sanctioned, certainly have an environmental impact. The Drina River Basin occupies parts of the territories of four countries. It is one of the most important drainage areas in the West Balkans. It calls for international cooperation in many areas, such as public water supply, irrigation, hydropower generation, and the like. However, in order to achieve such cooperation, all the countries that “steward” the resource need to commit to water quality conservation and protection. The DPSIR approach proposed by the Water Framework Directive of the European Union is followed to identify major pressures (pollution sources) in the Serbian part of the Drina River Basin. The pressures are grouped into several categories and described in detail.
Desorption – sorption – desorption profile of clinoptilolite in different air media: a DSC-TG study
Authors: Petrova Nadia , Stanimirova Tsveta , Markov Georgi , Kirov Georgi
Published: December 2023

Desorption–sorption processes of clinoptilolite sample from Beli Plast deposit, Bulgaria, were studied in a simultaneous DSC-TG experiment, applying a temperature profile including successive stages of heating up to 300 °C, holding, cooling to 40 °C, holding, and reheating up to 600 °C. Two experiments were provided: in humid static air and dynamic dry air. Thus, in a single experiment, quantitative information was obtained about the behavior of the sample in a complicated temperature profile and specific gas media. The first heating processes took place with almost the same dehydrated amount regardless of air media. In the humid air media, a possible sorbate is H2O molecules, while in the dry air are N2 molecules. In both air media, rapid sorption was observed already with the first steps of cooling, while a corresponding exothermic effect is manifested specifically for both experiments. Different sorption amount of H2O and N2 molecules was explained by their role as dipole or quadrupole and their different way of internal filling into the dehydrated zeolite structure. The desorption of newly sorbed molecules proceeds during the second heating, and after 300 °C the dehydration completes. The presented complicated approach gives information about the behavior of the clinoptilolite at each thermal stage that is of importance for various practical applications.
Nocturnal Blood Pressure Patterns in Hypertensive patients with Obstructive Sleep Apnea Syndrome in Angola
Authors: Caetano Fátima , Morais Humberto , Quintas Edna , Cordeiro Lemuel , Sebastião Adriana , Sabino Vasco , Conde Mário
Published: December 2023

The main cardiovascular consequence of Obstructive Sleep Apnea Syndrome (OSAS) is arterial hypertension (AH), considered since 2003 a second cause of AH. This study aimed to evaluate nocturnal blood pressure patterns (BPP) in hypertensive patients with OSAS in Angola. A descriptive, cross-sectional observational study was carried out in a private clinic in Angola. Demographic and clinical variables, polysomnography, and ABPM parameters were included. Patients were classified as a dippers, non-dippers, and reverse dippers. One-way ANOVA test, Kruskal-Walli’s test, and chi-square test were used as appropriate. The sample consisted of 70 individuals: 39(55.7%) were male. The mean age was 53.63±9.14 years and the BMI was 35.82 ± 6.57 kg/m2. An association between patients with a past medical history of hypertension and BPP was found (p<0.05). Mean O2 saturation was significantly lower in the reverse dippers (p=0.25). Although insignificantly, the dippers were younger and less obese. In contrast, the proportion of smokers and diabetics was higher in the reverse dippers. No correlation was found between the apnea-hypopnea index, the mean blood pressure, and the Epworth sleepiness scale. In the present study, the prevalence of non-dipping and reverse dipping patterns was high. It needs to be confirmed with future prospective studies.
Application of Artificial Intelligence in Carbon Accounting and Firm Performance: A Review Using Qualitative Analysis
Authors: Alqahtani Abdulrahman Saad H.
Published: December 2023

The increasing role of the corporate sector in global carbon emissions has raised significant concern among stakeholders, leading to a thorough reassessment of corporate responsibility. Corporations, directly influencing society due to their carbon emissions, acknowledged as externalities, are facing growing pressure to tackle this environmental challenge actively. As a reaction, companies are increasingly implementing carbon accounting and other environmentally conscious practices in line with a broader dedication to comprehensive environmental ethics. The accounting department, tasked with incorporating carbon accounting into non-financial reports alongside regular financial statements, encounters adoption obstacles such as limited awareness, insufficient expertise, unclear guidelines, and a lack of standardized terminology. This paper conducts a comprehensive study to evaluate the feasibility of using artificial intelligence (AI) solutions in carbon accounting and its subsequent effect on firm performance based on the well-established effectiveness of AI in financial reporting and accounting tasks. As of 2021, Saudi Aramco, the foremost emitter of carbon dioxide worldwide, accounts for more than 4 percent of global Greenhouse Gas Emissions. This highlights the pressing necessity for intervention in this industry. Moreover, the study highlights electricity and heat production as the primary global sources of carbon emissions. The research demonstrates a clear link between effective carbon accounting practices and improved firm performance, especially when stakeholders are highly aware of sustainability issues. Nevertheless, the paper highlights the considerable obstacles and the urgent requirement for extensive advancement in AI applications to fully exploit its potential as a significant resolution to the complexities of carbon accounting. The study is limited by the wide range of accounting standards companies use to disclose their environmental impact and a need for more information on using artificial intelligence in carbon accounting. The research highlights the crucial significance of collaborative endeavours in promoting AI solutions to strengthen carbon accounting practices, thereby enhancing corporate sustainability and overall performance.
Comparative Analysis of QWL and Organizational Commitment among selected Public and Private Sector Banks in Karnataka, India
Authors: Sangamitra Gowtham M J Parthasarathy N, T P Renuka Murthy,
Published: December 2023

Two of the most important psychological phenomenon that affects an organization’s survival and growth are quality of work life and organizational commitment. The primary objective of this research study is to examine the association between quality of work life and organizational commitment and also to make a comparative analysis of quality of work life and organizational commitment between public and private sector bank employees. To conduct this research, the researcher has used stratified random sampling technique. The required information was collected from 322 people employed in public and private sector banks in and around Mysore and Bangalore city. A structured questionnaire was prepared by considering standard components of quality of work life and organizational commitment. The factors for Quality of work life considered for the study were adequate and fair compensation, use of capacities at work, social integration, occupied space by work in life, work condition, opportunities at work, constitutionalizing at work and social relevance and importance of work. Similarly, the dimensions of Organizational commitment were affective, continuance and normative component. The collected information was then subjected to pearson’s correlation to examine the association between quality of work life and organizational commitment. Descriptive and inferential statistics were used to make a comparison between public and private sector bank employees. Results of the analysis revealed that the factors of quality of work life had a positive and significant relationship with the dimensions of organizational commitment. The results also indicated that there was no significant difference in the commitment of employees working in public and private sector banks. However, difference was seen only with adequate and fair compensation and use of capacities among public and private sector banks.
The type material of Diptera (Insecta) species described by Kálmán Kertész (1867–1922)
Authors: Szöllősi-Tóth Petra
Published: December 2023

The Hungarian dipterologist Kálmán Kertész (1867–1922), founder of the Diptera Collection of the Hungarian Natural History Museum, described 353 dipteran species new to science, and excluding three species, the type specimens of the new taxa were deposited his mother institute. The type material of 241 species has been destroyed by fire in 1956, while that of 109 species is still available. In total, 379 type specimens (34 holotypes, 271 syntypes, 11 lectotypes, 63 paralectotypes) of 109 species are available. Original combinations of scientific names of species are listed, followed by citations of the papers including the descriptions, enumerations of the type material if still available, and the currently valid names. With five figures.
A terroir összetevői – és amit a borászok gondolnak róla
Authors: Kismarjai Balázs
Published: December 2023

A tanulmány tárgya a terroir és annak értelmezése a hazai borászok szemszögéből. A terroirkutatások a nemzetközi szőlő- és borgazdasági folyamatok fontos elemei. A két fő irányt az angolszász kutatások – melyek elsősorban a terroir természeti összetevőire koncentrálnak –, illetve a francia vonal –, melyek ma már főként a terroir társadalmi hátterét vizsgálják, adják. A földrajz szempontjából fontos a terroir beillesztése a geográfia fogalomrendszerébe, elhelyezni azt a vidék-táj rendszerben. A tanulmány első fele ezeket az elemeket tartalmazza. A hazai terroirkutatások jelenleg elsősorban a természeti tényezőkre helyezik a hangsúlyt, és vizsgálják a klimatikus vagy éppen vízrajzi összetevőket. Ugyanakkor még nem sikerült megalkotni a magyar terroir fogalmát, sőt a közelében sem járunk annak, hogy egységesen tudjuk értelmezni azt. Ehhez lenne segítség, ha az ágazat szereplőit is megkérdeznénk. A tanulmány második fele egy kérdőíves felmérés értelmezése, mellyel 179 magyarországi borászt, cégtulajdonost kérdeztem meg arról, mit is gondol a terroirról. A kérdőív lefedte a terroir válaszadók szerinti értelmezését, a fogalom területi lehatárolhatóságát. Külön kérdések vonatkoztak a terroir természeti és társadalmi összetevőire, mely természeti tényezők a terroir legmeghatározóbb elemei, illetve mely társadalmi faktorok módosíthatják ezeket. A kérdőívek feldolgozása során fontos szempont volt, mely válaszadók mely borvidékekről érkeztek, hiszen eredeti prekoncepciónk szerint a borvidéki környezet meghatározza a terroir természeti és társadalmi értelmezését. Ez bizonyos esetekben beigazolódott (pl. a Csongrádi borvidékről kapott válaszok), máskor viszont az adott borvidék terroir felé való elköteleződése ellenére nem (pl. Tokaji borvidék). Összefoglalásképpen elmondható, hogy a magyar borászok a terroirt főleg természeti alapon képzelik el, melyekhez a társadalmi szerep és összetevők csak kiegészítő elemeket adnak. A meglehetősen zavaros eredetvédelmi rendszer szintén nehézkessé teszi a terroir konstruktív használatát és értelmezését. Érdemes lenne a szisztémát felülvizsgálni és a jelenlegi viszonyokra jobban alkalmazhatóvá tenni.
Lives and Destinies in History: The Possibilities and Questions of Personal History
Authors: Valuch Tibor
Published: December 2023

This article examines how the method of analytical life, family, and generational history can be applied to the complex social-history analysis of transformations and changes in the social behavior of individuals and communities. The first part reviews the theoretical and methodological issues concerning this possible historical approach, discusses how this approach might be different from traditional historical interpretations, and then briefly summarizes the range of possible sources and their utility. The second part applies this analytical approach to a case study that examines the life histories of six generations of a lower-nobility family to analyze the specificities of social-position changes. It highlights the long-term process by which the family lost its landholdings and became day laborers and then gradually improved its social status, becoming petty bourgeois and later members of the lower-middle class.
“I Got a Feel for All Sorts of Hungarian Things”: An Interview with Charles Taylor on His Involvement in Hungarian Refugee Aid in 1957
Authors: Scheibner Tamás
Published: December 2023

Charles Taylor was interviewed by Tamás Scheibner (Eötvös Loránd University of Budapest and Research Centre for the Humanities ELKH) in August 2022 about his work helping Hungarian refugees who fled Hungary in 1956. The interview was conducted within the framework of the NKFI-FK-135586 grant project “The Post-1956 Refugee Crisis and Hungarian Émigré Communities during the Cold War.” The transcript was subsequently edited by the interlocutors.