bluuebunny/crossref_metadata_2025 huggingface dataset:
Detrás de los brillantes titulares: análisis desde las ciencias sociales del estado de excepción en El Salvador
Authors: Bishop Sarah C. , Boerman Thomas J. , Montgomery Tommie Sue
Published: May 2024

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ECA Estudios Centroamericanos, Vol. 78, No. 774, 2023: 101-110.
Dysfunctional Social Systems, Experiential Traits and Sheer Wickedness: Interrogating the Vicissitudes of Criminal Violence in South Africa
Authors: Fagbadebo Omololu , Kabange Martin , Zwane Zwelithini , Joseph Judell , Mabizela Hlengiwe
Published: May 2024

The daily incidents of violent crimes are rampant in South Africa. This incident of violent attacks has placed the country in a bad light in the global ranking of violent countries. Not only has this fact not changed, but it has worsened with recent incidents occasioned by the COVID-19 lockdown. From its description as the world’s ‘murder capital’ and rape capital due to the prevalence of criminal activities, criminal violence in South Africa has grown in intensity. This paper argued that the scourge of criminal violence in South Africa is, partly, a manifestation of a dysfunctional social system that has entrenched the culture of violence as an instrument of interaction in a society characterised by individualistic instinct and consciousness. Exacerbated by the lived experiential traits imbued with wickedness, violent criminal activities have created a society living in fear of instant death and degradation. The research used an interpretivism method from several South African studies, including the culture of violence, criminal violence, and the justice system, to discuss the criminal justice system. This paper submits that a deliberate and conscientious approach, through a reformed criminal justice system as well as societal re-orientation, would be necessary to recalibrate the subconsciousness of citizens to be attuned to the appropriate social order stimulated by responsive and responsible governance structures.
USO DAS RESINAS MONOCROMÁTICAS COMO ALTERNATIVA PARA SIMPLIFICAR A ETAPA DE SELEÇÃO DE COR: REVISÃO DA LITERATURA
Authors: Castro Lorraynne Santos de , Sousa Mikelly Maria Soido de Sena , Lopes Matheus Araújo Brito Santos , Verde Giselle Maria Ferreira Lima , Pires Lilian Gomes Soares , Viana Mila Oliveira Santos
Published: May 2024

Na área da odontologia restauradora, os profissionais procuram reproduzir ao máximo a anatomia e a cor dos dentes. Um dos obstáculos do cotidiano clínico é escolher a cor da resina que tenha maior proximidade com a tonalidade do dente a ser restaurado. No mercado surgiram as resinas monocromáticas, que são destacadas pelo seu efeito “camaleão” e adaptação em diferentes estruturas dentais, com o objetivo de produzir combinações perfeitas com a cor do dente a ser restaurado, e proporcionar mais agilidade no trabalho clínico.  Revisar na literatura, o uso das resinas monocromáticas como alternativa para dispensar o método de seleção de cor. Foi realizada uma revisão de literatura integrativa com artigos encontrados nos bancos de dados on-line Pubmed e Scielo, entre os meses de agosto a outubro de 2023, com os descritores “Resin composite”; “Monochromatic” e “Dentistry” e fazendo uso dos seguintes operadores: “OR” e “AND”. Foram incluídos artigos que possuem relação com o tema, publicados nos últimos 3 anos e textos em língua portuguesa e inglesa; e excluídos os artigos que não comtemplam o tema, os que estão em desacordo com o período de publicação estipulado e de idiomas diferentes. De 349 estudos, foram removidos 336 artigos devido aos critérios de inclusão e exclusão, no qual foram selecionados 15 estudos considerados mais relevantes e confiáveis a questão proposta. As resinas monocromáticas promovem excelentes resultados estéticos e podem ser utilizadas em todas as classes, tanto em dentes anteriores quanto posteriores. Otimizam tempo clínico por tornar dispensável a etapa de seleção de cor, diminui gastos no consultório por não haver necessidade de um grande estoque de cores de resina composta por parte do cirurgião dentista, além de promover resultados estéticos satisfatórios.
PROPOSIÇÃO DE UM MODELO DE RELATÓRIO SOCIOAMBIENTAL ESG PARA COOPERATIVAS DE TRANSPORTES COM BASE NA TEORIA DA DIVULGAÇÃO
Authors: Ferreira Jessica Raiza de Souza , Barros Leidilaine da Silva Lopes , Custódio Elizângela Maria Oliveira , Carneiro Alexandre de Freitas , Silveira Francisco Emanoel
Published: May 2024

O objetivo desta pesquisa foi projetado inicialmente para analisar se há divulgação do Balanço Social na gestão de cooperativas de transportes e identificar sua utilização como instrumento de responsabilidade social no cenário corporativo atual. No entanto, como não foi encontrado esta prática, até porque não há obrigação legal ou contábil, a pesquisa se direcionou para desenvolver uma proposta voluntária de balanço social e ambiental como ferramenta de gestão de sua responsabilidade socioambiental ao se propor um modelo de aplicação específico. O delineamento de pesquisa foi o estudo de caso com aplicações das técnicas de entrevista, observação direta e análise documental, portanto, mais de uma técnica para a devida triangulação de dados, a fim de satisfazer as exigências do método, segundo a doutrina. A proposição de pesquisa de que se a CTR está alinhando suas práticas de gestão com as demandas modernas de responsabilidade social e ambiental foi parcialmente atendida, pois há práticas internas, mas não estruturadas ou socializadas, por meio de divulgação. Isso indica uma adequada observação dos preceitos da Teoria da Divulgação. A proposta do estudo contribui de forma generalizada para as cooperativas de transportes na divulgação estruturada de informações socioambientais na moderna ESG. O estudo, original, inova nesse sentido.
DA FAZENDA PÚBLICA E A COBRANÇA DE CRÉDITOS TRIBUTÁRIOS NO JUÍZO FALIMENTAR
Authors: Martins Keven do Espírito Santo , Salgado Buenã Porto
Published: May 2024

Aborda-se aqui neste estudo o situacional envolvendo a Fazenda Pública e sua prerrogativa de poder ou não cobrar os créditos tributários que lhe competem em um âmbito processual regulado por uma lei e um juízo que aparentemente de nada tem a ver com o fisco, qual seja, o da Falência. Diante da Fazenda Pública e sua (im)possibilidade de habilitar créditos tributários em sede de juízo falimentar, este artigo tem como objetivo discutir os preceitos da execução fiscal, da falência, as leis que envolvem ambos os processos e o próprio fisco. Com abordagem da metodologia documental, baseia-se na análise jurisprudencial de tema repetitivo do Superior Tribunal de Justiça, bem como as leis e autores da área. Em suma, conclui-se que é possível a fazenda pública cobrar os créditos que lhe competem, quais sejam os créditos tributários, até mesmo diante do situacional de falência e seu juízo e também considerando o marco temporal anterior a nova Lei de Falências e Recuperação Judicial, conforme o entendimento do STJ e das Leis principais aqui discutidas (Falência e Execução Fiscal) com ambos os procedimentos coexistindo e não havendo vedação da cobrança dos créditos tributários do Fisco perante a Lei de Falências e Execução Fiscal.
PRINCÍPIO DA NÃO CULPABILIDADE E A (IN)CONSTITUCIONALIDADE DA EXECUÇÃO PROVISÓRIA DA PENA
Authors: Galvão Bianca do Nascimento
Published: May 2024

O presente trabalho possui o escopo de fazer uma breve análise do contínuo embate entre os institutos jurídicos do princípio da presunção de inocência e da execução provisória da pena. Inicialmente, será visto o conceito do princípio da não culpabilidade e sua importância como garantia constitucional. Através de uma pesquisa descritiva, com alguns aspectos exploratórios, o artigo visa expor os argumentos doutrinários quanto à (in)constitucionalidade da prisão após condenação em segunda instância; tecer breves comentários quanto às quatro viradas jurisprudenciais sobre o tema, que culminaram na consolidação do entendimento firmado pelo Pleno do Supremo Tribunal Federal, em sede das ADCs 43, 44 e 54. Por fim, será feita uma suscinta reflexão sobre os possíveis impactos jurídicos, em caso de aprovação da Proposta de Emenda Constitucional sobre o tema, mencionando especificamente a PEC nº 410/2018 e a PEC nº 199/99, para demonstração de como possíveis propostas de alteração de dispositivos constitucionais podem gerar repercussões de grande impacto, no que tange ao princípio da presunção de inocência.
CRIMES NA INTERNET – A RESPONSABILIDADE CIVIL E CRIMINAL NA INTERNET
Authors: Rodrigues Sabrina Martins , Abreu Sergio Marcos de Brito
Published: May 2024

Esta pesquisa dispõe analisar os impactos que a revolução tecnológica tem causado na vida humana. A crescente era da digitalização tem invadido diversos indivíduos, toda ação humana vinculada na internet deve refletir no Direito, o que é chamado de direito digital. Com essa evolução é possível notar um novo ramo no Direito Penal, os crimes virtuais. O objetivo desta pesquisa é analisar todos os crimes que ocorrem no âmbito virtual e a responsabilidade cível e criminal, como também uma análise sobre as legislações vigentes para os crimes virtuais, como a lei Carolina Dieckmann, que introduziu vários artigos no Código Penal para penalizar tais delitos. A pesquisa usa o método qualitativo, como procedimento bibliográfica, doutrinas, artigos, dissertações e sites. Dessa forma, é importante destacar que, o mundo virtual possui regras, os delinquentes que praticam os delitos virtuais são punidos pelo Código Penal, a lei Carolina Dieckmann e Código Civil.
MÃES NO CÁRCERE: O DIREITO DA CRIANÇA EM CONVIVER COM A MÃE NO SISTEMA PRISIONAL BRASILEIRO E UM ESTUDO SOBRE A CONVIVÊNCIA NO REGIME FECHADO
Authors: Sales Ana Karoline Pereira , Viana Jhonnatan Reges
Published: May 2024

O presente artigo, investigou as condições de convivência entre mulheres encarceradas e seus filhos no Brasil, focando no direito fundamental das crianças à convivência familiar no regime fechado. O problema central abordado foi acerca de como garantir esse direito diante das lacunas estruturais e psicossociais do sistema prisional brasileiro. A pesquisa adotou uma metodologia de revisão bibliográfica e análise documental para explorar as implicações legais, sociais e psicológicas dessa convivência em condições muitas vezes precárias. O objetivo geral foi investigar as condições de convivência no regime fechado para crianças de mães encarceradas, enfatizando a melhoria da infraestrutura e do suporte psicológico para fortalecer os laços familiares e promover um desenvolvimento infantil saudável. Os objetivos específicos incluíram a análise das políticas e práticas institucionais que influenciam a manutenção do vínculo materno-infantil, a avaliação das decisões judiciais e normativas que impactam o direito à convivência familiar, a proposição de adaptações nas práticas prisionais com base em modelos nacionais e internacionais bem-sucedidos, e a discussão sobre as implicações psicológicas e desenvolvimentais para as crianças. A pesquisa concluiu que é urgente a necessidade de reformas nas práticas prisionais e na legislação, para que sejam desenvolvidas políticas mais humanas que atendam às necessidades específicas das mulheres encarceradas e de seus filhos, ajudando a evitar a perpetuação de ciclos de desvantagem social e violência.
O ACORDO DE NÃO PERSECUÇÃO PENAL ANTE A RACIONALIDADE PENAL MODERNA E A JUSTIÇA PÓS-PENAL
Authors: Mandarino Renan Posella
Published: May 2024

O objetivo da pesquisa é, a partir do confronto das críticas teóricas da Justiça pós-penal (Clécio Lemos) e da Racionalidade Penal Moderna (Alvaro Pires), demonstrar que os Acordos de Não Persecução Penal (ANPP) podem ser uma oportunidade para efetivação de práticas restaurativas. A pesquisa segue o método dedutivo, com abordagem qualitativa de revisão bibliográfica e objetivos exploratórios. Para abordar o tema, primeiramente, será demonstrado o referencial teórico da Justiça pós-penal e da Racionalidade Penal Moderna. Na sequência, será abordada a justiça penal negocial, cenário em que está inserido o Acordo de Não Persecução Penal. Por derradeiro, a teoria da Justiça pós-penal será confrontada com as inovações legislativas trazidas no artigo 28-A do Código de Processo Penal. Tal confronto permitirá avaliar as falhas legislativas no tratamento dado à vítima e o que pode ser melhorado a partir do referencial teórico em análise. A conclusão é que o dispositivo precisa aperfeiçoar os espaços de mediação e consenso, buscando encurtar o distanciamento existente entre a vítima e o réu no processo penal para concretização da justiça.
A Weakly Supervised Vehicle Detection Method from LiDAR Point Clouds
Authors: Li Yiyuan , Lu Yuhang , Huang Xun , Shen Siqi , Wang Cheng , Wen Chenglu
Published: May 2024

Abstract. Training LiDAR point clouds object detectors requires a significant amount of annotated data, which is time-consuming and effort-demanding. Although weakly supervised 3D LiDAR-based methods have been proposed to reduce the annotation cost, their performance could be further improved. In this work, we propose a weakly supervised LiDAR-based point clouds vehicle detector that does not require any labels for the proposal generation stage and needs only a few labels for the refinement stage. It comprises two primary modules. The first is an unsupervised proposal generation module based on the geometry of point clouds. The second is the pseudo-label refinement module. We validate our method on two point clouds based object detection datasets, namely KITTI and ONCE, and compare it with various existing weakly supervised point clouds object detection methods. The experimental results demonstrate the method’s effectiveness with a small amount of labeled LiDAR point clouds.
A Robust Camera Self-calibration Method Based on Circular Oblique Images
Authors: Li Zhiying , Li Sitong , Qin Wei , Tao Pengjie
Published: May 2024

Abstract. It is crucial to calibrate the camera’s intrinsic orientation elements and distortion parameters to ensure the photogrammetric accuracies. However, using nadir images to perform this task often leads to correlation between the intrinsic and extrinsic orientation elements, which will result in different camera calibration results by using different self-calibration strategies. It even has an impact on the follow-up processes and makes the product accuracy declined. To overcome this challenge, a robust camera calibration method based on circular oblique images was developed in this study. Firstly, circular oblique images with different viewing angles and camera distances were captured by unmanned aerial vehicle, following a specially designed circular flight path. Then the camera parameters were solved through the self-calibration bundle adjustment based on the circular oblique images. The experiments were carried out to compare the robustness and accuracy of nadir-image-based and circular-oblique-image-based methods. The standard deviation of focal lengths solved by different self-calibration strategies reduced from 12.99 pixels to 1.72 pixels, proving that the proposed method weakens the correlation between the intrinsic and extrinsic orientation elements and has strong robustness. The accuracy of aerial triangulation based on the camera parameters solved by the proposed method improved from 34.7 cm to 3.5cm, illustrating the effectiveness of the proposed method.
Simultaneous Calibration of Multiple Cameras and Generation of Omnidirectional Images
Authors: Pacheco José M. , Tommaselli Antonio M. G.
Published: May 2024

Abstract. Omnidirectional images are increasingly being used in various areas, such as urban mapping, virtual reality, agriculture, and robotics. These images can be generated by different acquisition systems, including multi-camera systems, which can acquire higher-resolution images. Stitching techniques are often used and can be suitable for non-metric applications, but rigorous photogrammetric processing is recommended when having more accurate requirements. The main challenges related to this kind of product are the system calibration and the generation of the final omnidirectional images. When using multi-camera systems, the displacement of the cameras' perspective centres can affect the generation of the omnidirectional images and the resulting accuracy. A common approach to minimising the resulting parallax error is to establish a value for the projection cylinder radius as close as possible to the object's depth. This work proposes a highly accurate simultaneous calibration technique for multiple camera systems using self-calibrating bundle adjustment with constraints of stability of the relative orientation parameters. These parameters are later used to generate a projecting cylindrical surface, maintaining the original camera perspective centres and relative orientation angles. The experiments show that using constraints improved both the calibration results and the final omnidirectional images. Residual mismatches between points in overlapping areas are subpixel.
Updating Orthophotos around Gas Pipelines based on "Cloud Control" Photogrammetry
Authors: Qin Lei , Liu Yawen , Zhao Xinbo , Duan Yansong
Published: May 2024

Abstract. As a clean energy source, natural gas is widely used and primarily transported through long-distance pipelines. Regular maintenance and inspection of long-distance gas pipelines are crucial tasks. Due to the extensive coverage and distance of these pipelines, the workload is enormous. It is necessary to first identify areas of change, which can be carried out using multiple sets of orthophotos produced by unmanned aerial vehicles (UAVs). However, UAV images have small footprints and significant geometric distortions, requiring a large number of ground control points (GCPs) for accurate positioning. Measuring these points in the field is challenging and time-consuming, becoming a key factor limiting the rapid production of orthophotos. To overcome this challenge, this paper introduces the "cloud control" photogrammetry technology to achieve fully automatic updates of orthophotos around long-distance pipelines, providing foundational data for the maintenance and inspection of these gas pipelines. This method replaces GCPs with images containing known orientation parameters, serving as control information. By matching tie points between new and old images, the "cloud control points" are transferred to the new images, enabling the image registration and production of orthophotos. The experiments conducted on the Fumin and Zhaotong segments of a long-distance gas pipeline in Yunnan Province demonstrate that, for UAV images with a ground resolution of 0.05 meters, using the "cloud control" method achieves a planar accuracy of 0.05 meters and an elevation accuracy of 0.07 meters. These results are comparable to the accuracy obtained by orienting the results using GCPs.
Exploring the Seasonal Comparison of Land Surface Temperature Dominant Factors in the Tibetan Plateau
Authors: Sheng Qinghong , Zhang Yuejie , Li Kerui , Ling Xiao , Li Jun
Published: May 2024

Abstract. LST (Land Surface Temperature) is a significant parameter that represents the ground energy balance and plays a crucial role in understanding climate change. The LST of the Tibetan Plateau (TP) has a direct influence on the climate and environmental changes of the TP, and it also has a significant impact on global climate and atmospheric circulation. Although there are various factors that drive the spatial and temporal distribution of LST on the TP, the primary driving forces and its seasonal variations of LST are not yet well understood. The research focuses specifically on the TP region, selecting three types of LST data, using geodetector model, to analyze the driving factors affecting the spatial pattern of LST in different seasons. The results indicate that the three factors, Air Temperature (AT), Elevation (Ele), and Permafrost Thermal Stability (PTS), have a significant influence on LST throughout all seasons, whereas other variables demonstrate varying contributions to LST depending on the season. This study contributes to the understanding of the spatial variability of surface thermal conditions and the intricate relationships between their driving factors. It also emphasizes the potential changes in these relationships throughout the year.
Building Height Extraction Based on Satellite GF-7 High-Resolution Stereo Image
Authors: Tian Zijin , Gong Yan
Published: May 2024

Abstract. High-resolution remote sensing images can distinguish objects of smaller size, so as to more clearly express the texture features and structural information of objects, and provide a data source for the development of large-scale mapping, high-precision stereo measurement and other fields. The purpose of this paper is to complete the height estimation of the buildings by analyzing the stereoscopic observation formed by the front and rear view images of the Gaofen-7 line array CCD. After determining the roof profile of the building on the rear-view image, assuming a series of object elevations of the building, that is, searching for elevations with a certain step distance within a certain elevation search range, adopt the object-based image matching VLL algorithm, Through the RFM imaging model of the Gaofen-7 sensor, the rear-view contour is projected to the front-view image, and then the PSNR is selected as the similarity measure of the window, and the similarity of the image block area corresponding to the front- and rear-view contour is calculated. Corresponds to the hypothetical object elevation as the estimated height of the building. Under the technical route of this paper, the height of buildings on high-resolution images can be estimated to a level within 3 meters of accuracy.
Research on Entity Relationships in the Knowledge Graph of Disease Monitoring in Grotto Temples
Authors: Wang Yiran
Published: May 2024

Abstract. The grotto temple, carved into cliffs and widely distributed, is a significant cultural heritage in China. However, it faces severe damage and collapse threats due to natural disaster risks in its environment. Nearly seventy percent of grotto temples are located in regions prone to earthquakes and water hazards, leading to varying degrees of damage to cultural artifacts. Therefore, preventive measures are necessary to reduce the impact of natural disasters on grotto temples. A knowledge graph, a structured semantic knowledge base describing concepts and their relationships in the physical world, plays a crucial role in knowledge organization and content representation. Entity relationships are the core of knowledge, serving as both foundational data and a key task in constructing knowledge graphs and processing unstructured text. In the field of grotto temple disease monitoring, while data continues to grow, research on the correlation between textual data remains underexplored. This paper adopts the BiLSTM-CRF method to extract entity relationships, matching them with the grotto temple monitoring knowledge graph. Finally, the Neo4j software is utilized to program and display the knowledge graph, aiming to enhance the efficiency of natural disaster risk management and cultural heritage protection for grotto temples.
Full-scale semantic segmentation of hyperspectral imaging based on spatial spatial-spectral joint network
Authors: Wu Hao , Li Canhai , Li Yongchang
Published: May 2024

Abstract. Hyperspectral images contain dozens or even hundreds of spectral bands, which contain rich spectral information and help distinguish different ground objects. Hyperspectral images have a wide range of applications in urban planning, environmental monitoring, and other fields. The semantic segmentation of hyperspectral images is one of the current research hotspots. The difficulty lies in the rich spectral information and strong correlation of hyperspectral images. Traditional semantic segmentation methods cannot fully extract information, which affects the accuracy of classification. This article utilizes an encoding decoding structure to simultaneously extract deep and shallow features of images. A REGCS convolution module was constructed using the idea of group convolution to extract spectral and spatial features of images. We compared the Salinas Valley dataset and MUUFL dataset with various classification algorithms. The experimental results show that compared with other classification models, the RESSU model has achieved stable and excellent results in hyperspectral image classification experiments. Among them, in the classification experiment of the Salinas Valley dataset, the accuracy of single class classification reached over 92%. In the effectiveness analysis experiment, we calculated different model parameter quantities to verify the performance of our method, and ultimately achieved good results.
M-GCLO: Multiple Ground Constrained LiDAR Odometry
Authors: Yang Yandi , El-Sheimy Naser
Published: May 2024

Abstract. Accurate LiDAR odometry results contribute directly to high-quality point cloud maps. However, traditional LiDAR odometry methods drift easily upward, leading to inaccuracies and inconsistencies in the point cloud maps. Considering abundant and reliable ground points in the Mobile Mapping System(MMS), ground points can be extracted, and constraints can be built to eliminate pose drifts. However, existing LiDAR-based odometry methods either do not use ground point cloud constraints or consider the ground plane as an infinite plane (i.e., single ground constraint), making pose estimation prone to errors. Therefore, this paper is dedicated to developing a Multiple Ground Constrained LiDAR Odometry(M-GCLO) method, which extracts multiple grounds and optimizes those plane parameters for better accuracy and robustness. M-GCLO includes three modules. Firstly, the original point clouds will be classified into the ground and non-ground points. Ground points are voxelized, and multiple ground planes are extracted, parameterized, and optimized to constrain the pose errors. All the non-ground point clouds are used for point-to-distribution matching by maintaining an NDT voxel map. Secondly, a novel method for weighting the residuals is proposed by considering the uncertainties of each point in a scan. Finally, the jacobians and residuals are given along with the weightings for estimating LiDAR states. Experimental results in KITTI and M2DGR datasets show that M-GCLO outperforms state-of-the-art LiDAR odometry methods in large-scale outdoor and indoor scenarios.
On-the-Fly SfM: What you capture is What you get
Authors: Zhan Zongqian , Xia Rui , Yu Yifei , Xu Yibo , Wang Xin
Published: May 2024

Abstract. Over the last decades, ample achievements have been made on Structure from Motion (SfM). However, the vast majority of them basically work in an offline manner, i.e., images are firstly captured and then fed together into a SfM pipeline for obtaining poses and sparse point cloud. In this work, on the contrary, we present an on-the-fly SfM: running online SfM while image capturing, the newly taken On-the-Fly image is online estimated with the corresponding pose and points, i.e., what you capture is what you get. Specifically, our approach firstly employs a vocabulary tree that is unsupervised trained using learning-based global features for fast image retrieval of newly fly-in image. Then, a robust feature matching mechanism with least squares (LSM) is presented to improve image registration performance. Finally, via investigating the influence of newly fly-in image’s connected neighboring images, an efficient hierarchical weighted local bundle adjustment (BA) is used for optimization. Extensive experimental results demonstrate that on-the-fly SfM can meet the goal of robustly registering the images while capturing in an online way.
Land Cover Classification Based on Multimodal Remote Sensing Fusion
Authors: Chen Wei , Chen Jiage , Wan Yuewu , Liu Xining , Cai Mengya , Xu Jingguo , Cui Hongbo , Duan Mengdie
Published: May 2024

Abstract. Global high-precision and high timeliness land cover data is a fundamental and strategic resource for global strategic interest maintenance, global environmental change research, and sustainable development planning. However, due to difficulties in obtaining control and reference information from overseas, a single data source cannot effectively cover, and surface coverage classification faces significant challenges in information extraction. Based on this, this article proposes an intelligent interpretation method for typical elements based on multimodal fusion, starting from the characteristics of domestic remote sensing images. It also develops an optical SAR data conversion and complementarity strategy based on convolutional translation networks, as well as a typical element extraction algorithm. This solves the problems of sparse remote sensing images, limited effective observations, and difficult information recognition, thereby achieving automation of typical element information under dense observation time series High precision extraction and analysis.
Sentinel 1a-2a Incorporating an Object-Based Image Analysis Method for Flood Mapping and Extent Assessment
Authors: Azhand Donya , Pirasteh Saied , Varshosaz Masood , Shahabi Hejar , Abdollahabadi Salimeh , Teimouri Hossein , Pirnazar Mojtaba , Wang Xiuqing , Li Weilian
Published: May 2024

Abstract. This study presents flood extent extraction and mapping from Sentinel images. Here we suggest an algorithm for extracting flooded areas from object-based image analysis (OBIA) using Sentinel-1A and Sentinel-2A images to map and assess the flood extent from the beginning to one week after the event. This study used multi-scale parameters in OBIA for image segmentation. First, we identified the flooded regions by applying our proposed algorithm on the Sentinel-1A. Then, to evaluate the effects of the flood on each land-use/land cover (LULC) class, Sentinel-2A images is classified using the OBIA after the event. Besides, we also used the threshold method to compare the proposed algorithm applying OBIA to determine the efficiency in computing parameters for change detection and flood extent mapping. The findings revealed the best performance for the segmentation process with an Object Fitness Index (OFI) is 0.92 when the scale parameter of 60 is applied. The results also show that 2099.4 km2 of the study area is flooded at the beginning of the flood. Furthermore, we found that the most flooded LULC classes are agricultural land and orchards with 695.28km2 (32.4%) and 708.63 km2 (33.7%), respectively. In comparison, about 33.9% of the remaining flooded area has occurred in other classes (i.e., fish farm, built-up, bare land and water bodies). The resulting object of each scale parameter was evaluated by Object Pureness Index (OPI), Object Matching Index (OMI), and OFI. Finally, our Overall Accuracy (OA) method incorporated field data using the Global Positioning System (GPS) shows 93%, 90%, and 89% for LULC, flood map (i.e., using our proposed algorithm), and threshold method, respectively.
A method for hierarchical weighted fitting of regular grid DSM with discrete points
Authors: Guo Haoran , Li Weijun , Dong Jieke , Duan Yansong
Published: May 2024

Abstract. A Digital Surface Model (DSM) is a crucial spatial geographic information data used to describe the shape of the earth’s surface in Geographic Information Systems (GIS). DSM is the core data used in terrain analysis in GIS. A regular grid DSM is generally generated by interpolating a large number of discrete point clouds. This paper proposes a method of using a hierarchical weighted strategy to fit a regular grid DSM with discrete points. This method uses a pyramid hierarchical strategy to refine the target regular grid from one grid with finer parameters of 3*3, until the nth level (the interval of the grid is equal to the expected interval), and then gradually places the discrete point cloud into the corresponding grid by weighted averaging, and uses the result of this level as the initial value of the next level. This algorithm can avoid the problem of low efficiency in retrieving a large number of discrete point clouds, and the indirect interpolation method not considering the contribution of distant neighboring point clouds. The operation of point cloud data is a stream operation, which does not require consideration of the topological information of point clouds, and has simple operation and no additional memory consumption. It is especially suitable for the production of regular grid DSM with massive point clouds. To verify the effectiveness of this method, the article selected six typical terrain data such as high mountains, mountains, hills, plains, urban areas, and lakes for experiments. The results show that compared with the construct-TIN method for producing DSM, this method has very good processing accuracy and processing efficiency.
The value of scenario discovery in land-use modeling: An automated vehicle test case
Authors: Engelberg Daniel
Published: May 2024

Long-range planning is an uncertain endeavor. This is especially true for urban regions, small ships in a global urban storm that are too small to influence macro policies and without the land-use powers of local governments. Exploratory scenarios, the established practice for planning under deep uncertainty, have inspired stakeholders to consider multiple futures but have fallen short of identifying robust and contingent policies. We need new tools to plan under conditions of deep uncertainty. Scenario discovery is a technique for using simulation models to explore the performance of policy options across uncertain scenarios. This paper presents an application of scenario discovery in land-use modeling and asks what this computationally intensive approach offers relative to a more circumscribed exploration of uncertainty space. The introduction of autonomous vehicles (AVs) and their associated impacts on land use provide a test case demonstrating this method, as well as a topic of substantive concern. This research concludes that scenario discovery is particularly valuable for identifying the conditions under which contingent policies are likely to succeed. In terms of AV policy, this research establishes that forward-thinking, transit-oriented-development strategies can mitigate spatial dispersion while also reducing overall housing costs. In addition, I find that AVs may blunt the impacts of some current policy tools if they extend the distance individuals are willing to travel to work.
Novedades en el calendario de vacunas de Argentina. Segunda parte: virus del papiloma humano
Authors: Terceiro Diego , Vietto Valeria
Published: May 2024

A fines de 2023 la autoridad sanitaria de Argentina realizó modificaciones en el Calendario Nacional obligatorio, que serán implementadas en forma progresiva durante 2024. Este artículo está enfocado en la reducción del esquema contra el virus del papiloma humano.
La factualidad y las oraciones condicionales en español: Un estudio de corpus
Authors: Barrios Vicente Leyre , Vázquez Glòria
Published: May 2024

Al describir una situación (un evento o un estado) expresamos el grado de certeza (factualidad) que poseemos sobre dicha situación, presentándola como cierta, incierta o no cierta. En este artículo analizamos el valor factual de las dos cláusulas de cerca de 500 oraciones condicionales en español con si procedentes de distintos periódicos españoles. Nuestra hipótesis es que es posible determinar la factualidad en estas oraciones teniendo en cuenta la presencia de si y los tiempos verbales de las prótasis y las apódosis. El objetivo es crear reglas formales para anotar de forma automática los valores factuales de las cláusulas de estas oraciones. Con ello, se pretende contribuir a la representación y al análisis de la factualidad de los eventos mencionados en un texto dentro de los ámbitos de la lingüística de corpus y el procesamiento del lenguaje natural. Además, se han identificado 20 combinaciones temporales que no habían sido descritas anteriormente.
A frequency-based exploratory study of word combinations by EFL learners towards adjective-noun collocations
Authors: Akbas Erdem , Yükselir Ceyhun
Published: May 2024

The mastery of formulaic sequences by language learners is considered to be crucial since it enables them to accomplish the basic communicative requirements (Wray, 2002) of target language use. Of all the formulaic sequences, the mastery of collocations is known to have an enormous impact on learners’ ability to move beyond the intermediate level. This data-driven study explores the word combinations (both conventional and unconventional L2 strings) of L2 users of English. Specifically, the adjective-noun combinations in an L2 corpus (TUWE) were explored to find the potential L2 strings functioning as unconventional collocations. Then, these L2 strings were compared with the adjective-noun collocations in the LOCNESS corpus to determine whether the choices made by L2 learners differed from those of L1 users. The findings show that the spectrum of the L2 word combinations was broader in comparison with LOCNESS. The results suggest that the L2 learners produced a higher number of unconventional collocations than conventional collocations matching with the L1. The L2 strings support that the use of collocations can be rather problematic for learners of English however advanced they are. Some pedagogical implications of the findings for explicit collocation and vocabulary teaching are discussed.
“¿Por qué tan pocas?”: un proyecto audiovisual para visibilizar el trabajo de las científicas y tecnólogas españolas
Authors: Coronado Ruiz Carlota
Published: May 2024

Introducción: La brecha de género en ciencia y tecnología es una realidad y en los últimos años son múltiples los estudios, programas e iniciativas que tratan de mejorar el problema. En España, se han impulsado proyectos y acciones que buscan visibilizar el trabajo de las mujeres en el ámbito STEM para aumentar las vocaciones científicas femeninas. Entre ellos se encuentra el proyecto “¿Por qué tan pocas? Científicas y tecnólogas españolas a la luz”, de la Universidad Complutense de Madrid. Propósito/objetivos: El presente artículo pretende analizar este proyecto de divulgación científica: materiales audiovisuales, público objetivo, estrategias, plan de difusión. Metodología: Se ha aplicado una metodología de análisis cualitativo de los contenidos didácticos del proyecto para determinar la importancia científica, el interés y el impacto social de estos. Resultados y Discusión/aportación/originalidad de la contribución: Se señalan los aspectos innovativos de un proyecto que busca crear referentes femeninos y visibilizar a las científicas y tecnólogas españolas. Se analiza la forma de ejecución del proyecto y su campaña de difusión con el objetivo de dar a conocer a la comunidad educativa un proyecto de divulgación científica con perspectiva de género y proporcionar líneas de actuación que impulsen cambios y den lugar a una cultura científica más paritaria.
El difícil matrimonio entre Sociología y Feminismo
Authors: Cobo Rosa
Published: May 2024

Objetivos. La sociología hegemónica ha borrado voces del feminismo sociológico para así construir un canon masculino del saber sociológico. El ocultamiento de las raíces feministas de la sociología y de sus conceptualizaciones actuales es uno de los objetivos fundamentales de este artículo. El otro es mostrar el marco teórico que ha creado la sociología feminista. Metodología. Se han analizado exhaustivamente los textos más relevantes de la sociología feminista y se han estudiado las obras de las primeras sociólogas feministas del siglo XIX, tanto norteamericanas como europeas, con el objetivo de encontrar las raíces del feminismo sociológico y el borrado de sus fundadoras. Resultados y discusión. La ciencia sociológica, incluida la teoría sociológica crítica, ha impuesto un silencio conceptual, obstaculizando la tarea de las sociólogas en sus intentos de convertirse en sujetos de la investigación social, torpedeando sus hipótesis y situándolas en los márgenes de la academia. Conclusiones. Se ha creado en el interior de la sociología crítica una línea de investigación feminista con la que dialogan los autores más reconocidos de la sociología. Esta perspectiva ha creado un marco interpretativo con el objeto de analizar las estructuras simbólicas y materiales que sitúan a las mujeres en posiciones de subordinación. Sin embargo, el desafío del feminismo sociológico es comprender cómo puede hacerse sociología feminista en contra de la sociología hegemónica.
Editoras de género: Radiografía y desafíos del cargo que vela por la equidad de género
Authors: Ortega Carreño Andrea
Published: May 2024

Introducción. La función de las editoras de género nace para aumentar la equidad de género en las noticias y aportar una perspectiva inclusiva que permita cerrar las brechas de género existentes en la sociedad, a través de la representación en los medios. Objetivos. El principal objetivo de este estudio es dar a conocer el rol de las editoras de género en la eliminación de sesgos machistas en las noticias, con énfasis en la prensa política de España y Estados Unidos. Metodología. El trabajo ha contemplado una revisión bibliográfica de este tema, además de entrevistas a editoras de género. Resultados. Este análisis revela el surgimiento, desarrollo, obstáculos y nuevas fronteras que enfrentan las y los profesionales en este cargo para cumplir con su labor, en tanto rol clave en los medios que buscan integrar efectivamente la perspectiva de género. Esto se muestra particularmente en la sección política, donde existe la mayor cantidad de brechas de género. Conclusiones y discusión. Los medios de comunicación en tanto reflejo de la sociedad, demuestran la aún falta de inclusión de género y lo perpetúan. Las editoras de género tienen el potencial para contribuir a cerrar las brechas que existen en los medios e incluso la sociedad, lo que resulta particularmente relevante en el sector político. Por esta razón, es clave visibilizar su impacto para disminuir la exclusión de las mujeres en ámbitos de la vida pública.
Teacher Candidates’ Self-Efficacy Beliefs Related to Four Basic Skills in English
Authors: MAVİLİ KİLÜKEN Ayşe Duygu
Published: May 2024

The aim of the study is to explore the pre-service teachers' self-efficacy beliefs related to foreign language (English) skills within various variables. The "Self-Efficacy Scale for English Language Skills" developed by Sağlam and Arslan (2018) was used as a main data collection tool. Within the scope of this study, the relations between self-efficacy beliefs of senior teacher candidates and other variables such as gender and study programs were focused on. Based on the findings, it was seen that, almost all (90.8%) of the pre-service teachers did not allocate any time for self –study in English and more than half of them (56.1%) stated that they learned English only to pass the course. Additionally, in the analysis, it was observed that the English language skills self-efficacy belief levels of the senior teacher candidates were low. According to the independent sample t-Test results, no statistically significant difference was found between gender and self-efficacy beliefs in English language skills, except for listening skills. Related to the findings of the One-Way ANOVA Test, there was no statistically significant difference between study programs and English self-efficacy beliefs. Lastly, according to the chi-square test, no statistically significant relationship was found between the six study programs and the self- study time. Key words: Self-efficacy beliefs, Language skills, Teacher education, English language proficiency, Student teachers
Dopuszczalność w postępowaniu egzekucyjnym środka zaskarżenia nieuregulowanego expressis verbis w przepisach prawa egzekucyjnego
Authors: Kunicki Ireneusz
Published: May 2024

W niniejszym opracowaniu została omówiona problematyka dopuszczalności w postępowaniu egzekucyjnym środków zaskarżenia na podstawie odpowiednio stosowanych przepisów o procesie. W pierwszej kolejności omówiono zagadnienia ogólne dotyczące tej problematyki. Następnie przedstawiono kwestię dopuszczalności wznowienia postępowania egzekucyjnego na podstawie ogólnych i szczególnych podstaw wznowienia. W związku z tym konieczne było rozważenie, czy w postępowaniu egzekucyjnym istnieją orzeczenia co do istoty sprawy. Jako kolejne zagadnienie omówiono dopuszczalność skargi kasacyjnej w postępowaniu egzekucyjnym. Na zakończenie zaś przedstawiono problematykę zażalenia w postępowaniu egzekucyjnym.
Przyczyny kasacyjne
Authors: Góra-Błaszczykowska Agnieszka
Published: May 2024

Skarga kasacyjna w polskim kodeksie postępowania cywilnego jest nadzwyczajnym środkiem zaskarżenia orzeczeń sądów drugiej instancji o merytorycznym charakterze, przysługującym do Sądu Najwyższego. Nie wszystkie orzeczenia kończące postępowanie w sprawie co do meritum są jednak zaskarżalne, gdyż ustawodawca wprowadził ograniczenia przedmiotowe i kwotowe. W ten sposób wprowadzono pierwszą barierę przeciwdziałającą nadmiernemu wpływowi spraw do SN. Drugą barierą są bardzo restrykcyjne wymagania formalne, które musi spełnić skarga, aby mogła zostać uznana za dopuszczalną; w tym zakresie mieści się też przymus adwokacko-radcowski. Trzecim etapem badania skargi kasacyjnej jest tzw. przedsąd, w którym dokonuje się badania zaistnienia przyczyn kasacyjnych. Autorka analizuje przyczyny kasacyjne jako pojęcie pozakodeksowe, słusznie wprowadzone jednak w literaturze przedmiotu ze względu na wagę, jaką ustawodawca przydaje poszczególnym etapom badania skargi kasacyjnej w postępowaniu cywilnym. Etap ten służy selekcji skarg pod względem ich wagi i przydatności dla rozpoznania przez sądy powszechne także innych spraw, w których występują analogiczne problemy prawne.
A Proposed Land Use Capability Classification System for Indian Sub-Continent
Authors: A. C. Pandey  , N.N. Sirothia  , R.S. Singh
Published: May 2024

The existing Land Use Capability Classification for India is almost the true copy of United States Department of Agriculture Land Use Capability Classification system with very few minor changes; and thus it is mainly based on the Agro-economic structure of USA. As a result. many fertile and productive lands of India, which are highly economic to cultivate, comes under the class "Not Suitable for Agriculture", e.g. Tea Gardens of India and fertile cultivable lands on hill slopes. Further the factors considered in determination of Land Capability Class, have not been assigned specific weightage and contribution, and this might lead to subjectivity in determination of land class. Moreover the Indian Land Use Capability Classification divides the cultivable lands into two groups, suitable for cultivation and not suitable for cultivation, which is not justified under the existing cultivation conditions in India. The proposed Land Use Capability Classification system eliminates the dividing line between the land suitable and not suitable for cultivation; and recommends all lands which are economical to cultivate as Suitable for cultivation. In the proposed pattern of land classification, many factors have been considered and all these factors have been given a weighatge on marks basis and this helps in clear and distinct contribution of these factors in land class determination. In the proposed Land Use Capability Classification system, the class of land only denotes the relative productivity of land and not its suitability and unsuitability for cultivation.
Suspended Sediment Flow Routing by Discrete Linear Models
Authors: Devendra Kumar  , R.A. Rastogi
Published: May 2024

Discrete Linear sediment models were developed using sediment mobilized and direct sediment flow graphs of Chaukhutia watershed of the Ramganga reservoir catchment, India, and applied for sediment flow routing. The parameters of the models were estimated by Lagrangian method. The sediment graphs computed by these models compared with remarkable accuracy to the measured sediment graphs. The average values of integral square error, coefficient of efficiency and ratio of mean error to the mean observed output for four parameter sediment discharge model are 5.991 %, 97.183% and 0.0022 respectively. For three parameter sediment discharge model, the average value of relative error in estimated peak is 6.976%.