bluuebunny/crossref_metadata_2025 huggingface dataset:
SOFRIMENTO E TRANSTORNOS MENTAIS EM DISCENTES DA GRADUAÇÃO EM ENFERMAGEM: REVISÃO INTEGRATIVA
Authors: Silva Rudson Micael Sousa da , Galvão Ludimila Keylla Silva , Araújo Adriana Sávia de Souza
Published: November 2024

Esse artigo buscou identificar, na literatura científica, evidências sobre sofrimento e transtornos mentais em discentes da graduação em enfermagem. Foi utilizado como método a revisão integrativa da literatura sendo que a busca foi realizada nas bases de dados LILACS (Literatura Latino-Americana e do Caribe em ciências da Saúde), IBECS (Índice Bibliográfico Español en Ciencias de la Salud), BDENF e MEDLINE, acessada via BVS., com delimitação temporal de 10 anos, contemplando estudos completos a partir de dados primários que atendam a questão de pesquisa. A coleta foi realizada em agosto de 2024, seguindo critérios de elegibilidade. Para melhor assimilação dos dados, após ampla leitura dos textos completos e análise criteriosa dos resultados encontrados nos artigos, emergiram as seguintes categorias temáticas a serem abordadas: O período de graduação e a interferência na saúde mental dos discentes, relação entre as características sociodemográficas e o estresse percebido nos discentes, os estressores identificados no período da graduação, como os acadêmicos lidam com aos estresse sofrido na graduação e a incidência de estresse, TMC´s, depressão e ansiedade nos acadêmicos. O resultado dos estudos demonstraram que os estudantes do campo da saúde têm níveis mais altos de estresse, ansiedade e depressão quando comparados aos estudantes universitários de outras áreas. Espera-se que este estudo sirva de guia para um melhor desempenho na graduação de enfermagem, diminuindo os sofrimentos e transtornos mentais que que causam impactos em discentes, e que estimule a desenvolver nos futuros acadêmicos de enfermagem capacidade de lidar com as fases da graduação.
PENECTOMIA ASSOCIADA COM URETROSTOMIA NA REGIÃO PERINEAL EM NOVILHO: RELATO DE CASO
Authors: Ortolane Gabriel Oliveira , Araújo Kleberson Conrado de
Published: November 2024

A obstrução uretral em bovinos é uma realidade comum no mundo, porém não é uma casuística que é tratada facilmente com medicação a obtenção cirúrgica na maioria dos casos se torna mais viável para salvar o animal acometido. O presente relato tem como objetivo de descrever um caso de um novilho com problemas de micção devido a uma obstrução uretral na qual foi submetido a operação cirúrgica de penectomia associada com uretrostomia na região perineal. A uretrostomia é um procedimento que desvia o pênis, consequentemente, a uretra, para que o animal realize a micção. Este procedimento visa o alivio do animal, que não irá mais apresentar liquido na região perineal devido o desvio. O paciente estava com capacidade de locomoção reduzida, desconforto abdominal e redução de peso. Após cirurgia já foi observado que o animal realizou a micção e que com tratamento de antiflamatório e antibioterapia ao decorrer dos dias o animal estava totalmente curado.
IMPACTOS DA VIOLÊNCIA NA SAÚDE DE MULHERES ADOLESCENTES NO PERÍODO DE GRAVIDEZ: REVISÃO INTEGRATIVA
Authors: Silva Régison Carlos Pereira da , Queiroz Giselly Lima , Guimarães Tatiana Maria Melo
Published: November 2024

Introdução: O impacto da violência na saúde das mulheres adolescentes é uma questão de grande importância e complexidade. A violência refere-se a qualquer forma de abuso, discriminação ou desrespeito. Quando essa violência é direcionada a mulheres adolescentes, as consequências podem ser especialmente graves, esses impactos podem ter consequências de longo prazo para a saúde das adolescentes, afetando sua autoestima, confiança no sistema de saúde e até mesmo suas futuras decisões reprodutivas. Objetivos: Analisar a partir de evidências científicas quais os impactos da violência na saúde de mulheres adolescentes no período de gravidez. Métodos: Foi utilizado como método a revisão integrativa da literatura sendo que a busca foi realizada nas bases de dados LILACS (Literatura Latino-Americana e do Caribe em ciências da Saúde), IBECS (Índice Bibliográfico Español en Ciencias de la Salud), BDENF e MEDLINE, acessada via BVS., sem delimitação temporal, contemplando estudos completos a partir de dados primários que atendam a questão de pesquisa. A coleta foi realizada em julho/agosto de 2024, seguindo critérios de elegibilidade. Resultados Esperados: espera-se que esse estudo sirva de guia para se combater e mitigar os problemas gerados pela violência a que as mulheres adolescentes grávidas estão expostas, uma vez que a  violência contra essas pessoas tem consequências duradouras e multifacetadas.
OS ALIMENTOS COMPENSATÓRIOS NO BRASIL COMO MEIO DE PRESERVAÇÃO DO EQUILÍBRIO ECONÔMICO ENTRE OS EX-CÔNJUGES E EX-COMPANHEIROS
Authors: Almeida Ana Clara Gonzaga de , Silva Danilo Fontes da
Published: November 2024

A presente pesquisa tem como enfoque o instituto dos alimentos compensatórios no Brasil, com o objetivo de preservação do equilíbrio econômico entre os ex-cônjuges e ex-companheiros em virtude do rompimento do vínculo conjugal ou da união estável. Observando tal premissa, questiona-se: como os alimentos compensatórios têm sido aplicados no Brasil como instrumento de preservação do equilíbrio econômico entre ex-cônjuges e ex-companheiros? Assim sendo, esta pesquisa pretende, com o objetivo geral, analisar o instituto dos alimentos compensatórios no Brasil como meio de preservação do equilíbrio econômico entre os ex-cônjuges e ex-companheiros. Seguindo este liame, por meio dos objetivos específicos, buscar-se-á compreender o conceito do instituto dos alimentos em aspecto geral no Direito de Família; analisar o conceito, finalidade e a natureza dos alimentos compensatórios, bem como os critérios para sua fixação; contextualizar a diferença entre pensão alimentícia e alimentos compensatórios no Brasil; e analisar como a jurisprudência tem aplicado os alimentos compensatórios diante da legislação brasileira sobre alimentos. Para tanto, a metodologia a ser utilizada é a bibliográfica e documental, por meio de uma abordagem qualitativa, baseada em livros, artigos científicos, legislações, doutrinas jurídicas, monografias e dissertações, além das jurisprudências pertinentes ao tema. A partir desta pesquisa, espera-se contribuir no tocante à demonstração da relevância dos alimentos compensatórios no Brasil, com a efetividade da sua aplicação que visa preservar o equilíbrio econômico entre os ex-cônjuges e ex-companheiros, como também a necessidade de se criar uma legislação específica. Observou-se ainda, que existe Projeto de Lei em trâmite que busca definir a caracterização e implementação dos alimentos compensatórios no Brasil com os seus respectivos requisitos de concessão.
PROMOVENDO A AUTOSSUFICIÊNCIA ENERGÉTICA: PRODUÇÃO DE BIODIESEL DE FORMA ACESSÍVEL E SUSTENTÁVEL
Authors: Ferreira Danyelle Rios , Todesco Maria Eduarda Alves , Alves Maria Isabel dos Santos , Ferreira Alex Franco , Ribeiro Sandro Pereira
Published: November 2024

Com a transição para fontes de energia sustentáveis é notório a importância da mitigação dos efeitos maléficos das fontes de energia não renováveis e promover a autossuficiência energética. As fontes de energia não renováveis, como os combustíveis fósseis, não só contribuem significativamente para a degradação ambiental, mas também compactuam com a dependência de recursos finitos. Entretanto, a produção de biodiesel oferece uma solução renovável e ecológica, reduzindo as emissões de gases com efeito de estufa e promovendo a segurança energética. No entanto, a adoção generalizada do biodiesel tem sido dificultada pelas complexidades tecnológicas e pela acessibilidade limitada aos métodos de produção. Este artigo propõe uma solução para melhorar a acessibilidade à produção de biodiesel através do desenvolvimento de um protótipo manual, por uma coleta de dados da literatura e testes feitos em campo, com a participação de voluntários, sob a vigilância de profissionais capacitados, foi desenvolvido um protótipo para atender os objetivos aqui propostos, utilizando-se de 6 etapas para que desenvolvimento fosse realizado de forma controlada e assertiva. Ao simplificar o processo de produção, os indivíduos e as comunidades podem envolver-se ativamente na produção de biodiesel, promovendo a autossuficiência energética a nível popular. O protótipo do manual oferece uma abordagem económica e fácil de utilizar, permitindo às comunidades aproveitar os recursos locais e reduzir a dependência de fontes de energia centralizadas. No geral, promover a produção de biodiesel como uma solução energética acessível e sustentável é crucial para promover a autossuficiência energética e mitigar os impactos ambientais das fontes de energia não renováveis. Através de abordagens inovadoras e de iniciativas comunitárias, pode-se capacitar os indivíduos para contribuírem para um futuro mais verde e sustentável.
UTILIZAÇÃO DE COBERTURAS VERDES COMO ESTRATÉGIA SUSTENTÁVEL PARA CONSTRUÇÕES
Authors: Galo Armando Ikuta de Souza , Krause Marcelo O’Donnell , Marinho Felipe José Estrela , Lins Ittana de Oliveira
Published: November 2024

A utilização de coberturas verdes, ou telhados ecológicos, tornou-se uma solução sustentável inovadora no campo da construção civil, promovendo benefícios ambientais, térmicos e estéticos. Esses sistemas de coberturas utilizam a vegetação como elemento principal, transformando áreas subutilizadas em espaços que auxiliam na mitigação de ilhas de calor urbanas, no gerenciamento de águas pluviais e no isolamento térmico e acústico das edificações. A integração desses telhados é especialmente relevante em ambientes urbanos densos, contribuindo para a biodiversidade e a eficiência ecológica. Sendo assim, este artigo evidencia a viabilidade e os impactos a longo prazo dos telhados verdes, com destaque para a comparação entre sistemas extensivos e intensivos, além de seus benefícios hidrológicos e térmicos. Outrossim, são analisados os custos e prazos de execução em relação aos sistemas convencionais de cobertura. Portanto, apesar dos custos iniciais mais elevados, os telhados verdes oferecem vantagens econômicas e ambientais a longo prazo, promovendo a sustentabilidade no setor da construção civil e contribuindo para a reintrodução de áreas verdes nas cidades.
Multi-year black carbon observations and modeling close to the largest gas flaring and wildfire regions (Western Siberian Arctic)
Authors: Popovicheva Olga B. , Chichaeva Marina A. , Evangeliou Nikolaos , Eckhardt Sabine , Diapouli Evangelia , Kasimov Nikolay S.
Published: November 2024

Abstract. The influence of aerosols on the Arctic system remains associated with significant uncertainties, particularly concerning black carbon (BC). The polar aerosol station "Island Bely", located in the Kara Sea (Western Siberian Arctic) was established to enhance aerosol monitoring in the Arctic. Continuous in-situ measurements from 2019 to 2022 revealed the long-term effects of light-absorbing carbon. During the cold period, the annual average light absorption coefficient was 0.7 ± 0.7 Mm⁻¹, decreasing by approximately 2–3 times during the warm period. The interannual mean showed a peak in February (0.9 ± 0.8 Mm⁻¹), a ten times lower minimum in June, and exhibited high variability in August (0.7 ± 2.2 Mm⁻¹). The absorption Ångström exponent indicated presence of mixed and aged BC. An increase of up to 1.5 at shorter wavelengths from April to September suggests contribution from light absorbing brown carbon. The annual mean EBC demonstrated considerable interannual variability, with the lowest in 2020 (24 ± 29 ng m⁻³). Significant difference was observed between Arctic haze and Siberian wildfire periods, with record-high pollution levels in February 2022 (110 ± 70 ng m⁻³) and August 2021 (83 ± 249 ng m⁻³). During the cold season, 92 % of surface BC was attributed to anthropogenic sources, mainly from gas flaring. In contrast, during the warm period, Siberian wildfires contributed to BC concentrations by 47 %. Notably, unprecedented smoke was transported from Yakutian wildfires at high altitudes in August 2021, marking the most severe fire season in the region over the past four decades.
Strong influence of Black Carbon on aerosol optical properties in Central Amazonia during the fire season
Authors: Stern Rafael , de Brito Joel F. , Carbone Samara , Varanda Rizzo Luciana , Daniel Muller Jonathan , Artaxo Paulo
Published: November 2024

Abstract. During the dry season, the Amazonian atmosphere is strongly impacted by fires, even in remote areas. However, there are still knowledge gaps regarding how each aerosol type affects the aerosol radiative forcing. This work characterizes the chemical composition of submicrometer aerosols and source apportionment of Organic Aerosols (OA) and Equivalent Black Carbon (eBC) to study their influence on light scattering and absorption at a remote site in central Amazonia during the dry season (August–December 2013). We applied Positive Matrix Factorization (PMF) and multi-linear regression models to estimate chemical-dependent mass scattering (MSE) and extinction (MEE) efficiencies. Mean PM1 aerosol mass loading was 6.3±3.3 μg m-3, with 77 % of organics, grouped into 3 factors: Biomass Burning OA (BBOA), Isoprene derived Epoxydiol-Secondary OA (IEPOX-SOA) and Oxygenated OA (OOA). The bulk scattering and absorption coefficients at 637 nm were 17±10 Mm-1 and 3±2 Mm-1, yielding a single scattering albedo of 0.87±0.03. Although eBC represented only 6 % of the PM1 mass loading, MSE was highest for the eBC (13.58–7.62 m2 g-1 at 450–700 nm), followed by BBOA (7.96–3.10 m2 g-1) and ammonium sulfate (AS, 4.79–4.58 m2 g-1). MEE was dominated by eBC (30.8 %), followed by the OOA (19.9 %) and AS (17.6 %). The dominance of eBC over light scattering, in addition to absorption, depicts a surprisingly high role of this important climate agent, indicating the need to further investigate the chemical processing and interaction between natural and anthropogenic aerosol sources over remote tropical forested areas.
A post-processed carbon flux dataset for 34 eddy covariance flux sites across the Heihe River Basin, China
Authors: Wang Xufeng , Che Tao , Xiao Jingfeng , Wang Tonghong , Tan Junlei , Zhang Yang , Ren Zhiguo , Geng Liying , Wang Haibo , Xu Ziwei , Liu Shaomin , Li Xin
Published: November 2024

Abstract. The eddy covariance (EC) technique is currently the most widely used method for measuring carbon exchange between terrestrial ecosystems and the atmosphere at the ecosystem scale. Using this technique, a regional carbon flux network comprising a total of 34 sites has been established in the Heihe River Basin (HRB) in Northwest China. This network has been measuring the net ecosystem exchange (NEE) of CO2 for a variety of vegetation types. In this study, we compiled and post-processed half-hourly flux data from these 34 EC flux sites in the HRB to create a continuous, homogenized time series dataset. We employed standardized processing procedures to fill data gaps in meteorological and NEE measurements at half-hourly intervals. NEE measurements were also partitioned into gross primary production (GPP) and ecosystem respiration (Reco). Furthermore, half-hourly meteorological and NEE data were aggregated to daily, weekly, monthly, and yearly timescales. As a result, we produced a continuous carbon flux and auxiliary meteorological dataset, which includes 18 sites with continuous multi-year observations and 16 sites observed only during the 2012 growing season, amounting to a total of 1,513 site-months. Using the post-processed dataset, we explored the temporal and spatial characteristics of carbon exchange in the HRB. In the diurnal variation curve, GPP, NEE, and Reco peak later for ecosystems in the artificial oasis (cropland and wetland) compared to those outside the artificial oasis (grassland, forest, woodland, and Gobi/desert). Seasonal NEE, GPP, and Reco peak in early July for grassland, forest, woodland, and cropland but remain close to zero throughout the year for gobi/desert. In the last decade, NEE of wetlands significantly increased, while NEE for other ecosystems did not exhibit significant trends. Annual NEE, GPP, and Reco are significantly higher for sites inside the artificial/natural oasis compared to those outside the oasis. This post-processed carbon flux dataset has numerous applications, including exploring the carbon exchange characteristics of alpine and arid ecosystems, analyzing ecosystem responses to climate extremes, conducting cross-site synthesis from regional to global scales, supporting regional and global upscaling studies, interpreting and calibrating remote sensing products, and evaluating and calibrating carbon cycle models.
Annual river dataset in China: a new product with a 10 m spatial resolution from 2016 to 2023
Authors: Peng Kaifeng , Si Beibei , Jiang Weiguo , Ma Meihong , Wang Xuejun
Published: November 2024

Abstract. Rivers play important roles in ecological biodiversity, shipping trade and the carbon cycle. Owing to human disturbances and extreme climates in recent decades, river extents have altered frequently and dramatically. The development of sequential and fine-scale river extent datasets, which could offer strong data support for river protection, management and sustainable use, is urgently needed. A literature review revealed that annual river extent datasets with fine spatial resolutions are generally unavailable for China. To address this issue, the first Sentinel-derived annual China river extent dataset (CRED) from 2016 to 2023 was produced in our study. We first produced annual water maps by combining the dynamic world (DW), ESRI global land cover (EGLC) data and the multiple index water detection rule (MIWDR). For the DW and MIWDR water time series, the mode algorithm, which calculates the most common values, was used to generate yearly water maps. Then, an object-based hierarchical decision tree based on geometric features and auxiliary datasets was developed to extract rivers from the water data. The results indicated that the overall accuracies (OAs) of the CRED were greater than 96.0 % from 2016 to 2023. The user accuracies (UAs), producer accuracies (PAs) and F1 scores of the rivers exceeded 95.3 %, 91.3 % and 93.7 %, respectively. A further data intercomparison indicated that our CRED shared similar patterns with the wetland map of East Asia (EA_Wetlands), China land use/cover change (CNLUCC) and China water covers (CWaC) datasets, with correlation coefficients (R) greater than 0.75. Moreover, our CRED outperformed the three datasets in terms of small river mapping and misclassification reduction. The area statistics indicated that the river area in China was 44,948.78 km2 in 2023, which was mostly distributed in coastal provinces of China. From 2016 to 2023, the river areas were characterized by an initial increase, followed by a decrease and then a slight increase. Spatially, the decreased rivers were located mainly in Southeast China, whereas the increased rivers were distributed mainly in Central China and Northeast China. In general, the CRED explicitly delineated river extents and dynamics in China, which could provide a good foundation for improving river ecology and management. The CRED dataset is publicly available at https://doi.org/10.5281/zenodo.13841910 (Peng et al., 2024a).
UA-ICON with NWP physics package (version: ua-icon-2.1): mean state and variability of the middle atmosphere
Authors: Kunze Markus , Zülicke Christoph , Siddiqui Tarique Adnan , Stephan Claudia Christine , Yamazaki Yosuke , Stolle Claudia , Borchert Sebastian , Schmidt Hauke
Published: November 2024

Abstract. The Icosahedral Nonhydrostatic (ICON) general circulation model with upper atmosphere extension (UA-ICON) in the configuration with the physics package for numerical weather prediction (NWP) is presented with optimized parameter settings for the non-orographic and orographic gravity wave drag parameterizations (GWD). In this paper, we present UA-ICON(NWP) (version: ua-icon-2.1) in which we implemented optimized parameter settings for the GWD parameterizations to achieve more realistic MLT temperatures and zonal winds. The parameter optimization is based on perpetual January simulations targeting the thermal and dynamic state of the MLT and the Northern Hemisphere stratosphere. The climatology and variability of the Northern Hemisphere stratospheric winter circulation widely improve when applying UA-ICON with the NWP physics package compared to UA-ICON with ECHAM physics. Likewise improves the thermal and dynamic state of the MLT of the re-tuned UA-ICON(NWP) compared with the UA-ICON(NWP) using default settings. For UA-ICON(NWP), a statistical evaluation reveals a slight improvement in the stratosphere/mesosphere coupling compared to UA-ICON(ECHAM). The cold summer mesopause, the warm winter stratopause, and the related wind reversals are reasonably simulated. The GWD parameter optimization further significantly improves the frequency of major sudden stratospheric warmings (SSWs). However, the seasonal distribution needs improvement and the relative frequency of split vortex SSWs is underestimated compared to reanalyses, as is the zonal wavenumber 2 preconditioning of SSWs. This indicates that zonal wavenumber 2 forcing in UA-ICON(NWP) is underrepresented. The analysis of migrating diurnal and semidiurnal tides in temperature shows a good agreement of UA-ICON(NWP) with SABER-derived tides and the enhancement of the migrating semidiurnal tide during SSWs is well represented in UA-ICON(NWP).
Investigation on Miage/Brenva Glaciers in The Alps From 50s to-date Based on Remote-Sensing Data
Authors: Eskandari Rasoul , Genzano Nicola , Fugazza Davide , Scaioni Marco
Published: November 2024

Abstract. The Miage and Brenva Glaciers in Mount Blanc Massif (Italy) are two of the major glaciers in the Alps. To assess the evolution of these glaciers, we use multiple data sources from remote sensing, and we adopt different techniques to extract important information on their conditions during a long period (i.e., ~60 years). The first approach, which is based on the use of aerial photos and satellite imagery (SPOT 6), allows assessing the volume change of Miage Glacier over the period 1952–2014. The second approach, which is based on the use of optical satellite observations such as Landsat 5/8/9 and Sentinel 2, aims to evaluate the spatial variability and the temporal trends of the snow cover of both glaciers from 1984 up to now. The achieved results, that are coherent with the ones reported by the scientific literature, show that volumetric changes of Miage Glacier underwent a period of gain between 1975–1991, followed by an impressive decay phase. Concerning the snow cover analysis, our findings highlight that for both glaciers the area covered by snow reduces persistently year-by-year, especially in the case of the Miage Glacier.
Land Use and Land Cover Change Analysis in Brazilian Urban centres: an approach using Cellular Automata and Neural Networks
Authors: Esteves Rodrigo José Zonzin , Velastegui-Montoya Andrés , Pujatti Mario Arthur Scalfani , Silvestre Leonardo José , Pereira Marconi de Arruda
Published: November 2024

Abstract. During the 1970s, Brazil experienced most of its population living in cities for the first time. Historically, urbanization has been intensely related to land use and cover changes, amplifying climatic and ecological stress in recently established metropolises. This study aims to analyze, through classified Remote Sensing images and the Cellular Automata and Artificial Neural Networks (CA-ANN) machine learning model, land use and land cover trends in regions that have experienced accentuated demographic growth in the decades 2000 and 2010. The methodology consists of: i) identifying areas with a high density of buildings, ii) defining the variables that drive land use change, and iii) proposing a methodology for predicting changes in the urban area. The results indicate that the urban class prediction presented high precision (≥ 0.74) and recall (≥ 0.86) indices. Forest class also presented a high precision score (≥0.72), showing an elevated prediction hit rate. Furthermore, the proposed methodology improved the results obtained in previous works for the same cities, presenting higher Kappa values in all cases.
Understanding the Influence of Vegetation on Urban Open-Channel Flow: A Numerical Modeling Approach in Monterrey, Mexico
Authors: Ramírez-Serrato Nelly L. , Nieto-Butrón Jacob J. , Barco-Coyote Selene , Yépez-Rincon Fabiola D. , Jácome Paz Mariana Patricia
Published: November 2024

Abstract. Flooding poses a persistent threat to urban areas, prompting the use of mathematical modeling to understand flow dynamics and delineate flood zones. Integrating vegetation into hydraulic models is crucial for assessing its effects on flow characteristics, sediment transport, and channel morphology. The Santa Catarina River in Monterrey, Mexico, experiences irregular water levels, leading to unchecked vegetation growth during dry seasons and vegetation loss during extreme weather events like hurricanes. This study utilized two hydraulic models, employing Digital Elevation and Surface Models alongside land use classifications and hydrological data from Hurricane Alex in 2010, to evaluate vegetation's impact on flood simulations. The results reveal significant changes in flood patterns due to vegetation, shifting the flood zone towards residential-commercial areas. Maximum depths increase from 10.70 to 16.78 meters, and affected areas deepen from 2 to 4.37 meters with the vegetation-inclusive model. These findings underscore vegetation's pivotal role in shaping urban flood pathways and advocate for integrating natural and human elements in flood risk management strategies. Future research avenues could explore socio-economic implications and evaluate cost-effective mitigation measures for diverse flooding scenarios.
Generative 3D Reconstruction of Martian Surfaces using Monocular Images
Authors: Cao Jiarui , Huang Rong , Ye Zhen , Xu Yusheng , Tong Xiaohua
Published: November 2024

Abstract. High-resolution digital terrain models (DEM) are crucial for Mars scientific exploration and engineering demands, such as mission route planning, landing site selection, and topography research. However, DEMs generated based on photogrammetry or photometry suffer from limited stereo coverage and complex generative processes. Therefore, we propose a GAN-based monocular 3D reconstruction method, which utilizes high-resolution monocular orbital images to achieve pixel-level Martian terrain reconstruction. We preprocess the image data and then invert the elevation using the trained generative model. Finally, we recover the absolute scale through post-processing. In this work, we use HiRISE orthorectified images and DEMs with a resolution of 2 m and 0.25 m to validate the effectiveness of our method. We evaluated our method in four areas with different landforms and found that the predicted DEM and HiRISE DEM have height consistency with the root mean square error of about 2 m. This indicates that the proposed GAN-based method has certain effectiveness and generalization and great potential in high-resolution monocular Martian DEM reconstruction.
Experimental assessment of IMU data processing techniques for a backpack mobile laser scanning system
Authors: Castanheiro Letícia F. , Tommaselli Antonio M. G. , Hyyti Heikki , Kukko Antero
Published: November 2024

Abstract. Positioning techniques are fundamental in many automation tasks with several applications. In GNSS-denied environments like in dense forests, other alternatives are required, such as inertial and visual navigation. However, Inertial Measurement Units (IMUs) data, mainly those from microelectromechanical-system (MEMS), are noisy, which affects the orientation estimation. MEMS IMUs have been employed in mobile laser scanning systems due to their compact design and low-cost solutions for short-term navigation. In this paper, we have compared three IMU processing techniques freely available: MAH (Mahony et al., 2009), MAD (Madgwick et al., 2011) and DCM (Hyyti and Visala, 2015). These techniques implemented different approaches to estimate the attitude. They were experimentally assessed with data from a backpack mobile laser scanning system, which is composed of an OS0-128 Ouster LiDAR equipped with an internal IMU. We have used data from a 5-second trajectory segment aiming to evaluate the attitude and position estimation for a local path. The results showed that the DCM algorithm maintained a consistent velocity for 5 seconds, achieving a positional error of 1.4 m, 0.06 m, and 1.05 m along the X-, Y- and Z-axis, respectively. In contrast, MAD and MAH showed a position error over 20 m, 7 m and 3 m along the X-, Y- and Z-axis, respectively, which was affected by the velocity drift.
Use of HANTS algorithm in Sentinel-2 images for interpolation of missing data: a case-study for soy agricultural areas in periods of growth and harvesting
Authors: Coladello Leandro F. , Faria Junior Clodoaldo S. , do Carmo Alisson F. C.
Published: November 2024

Abstract. Information about the current state of an agricultural culture can be fundamental in decision making, varying from quantity of fertilizers to be used in an area to estimating the productivity of a harvest in a period to establish credits payment. Satellite images with reasonable spatial resolution like Sentinel-2 are a powerful tool to visualize agricultural areas production, especially with the application of multispectral indexes like the Normalized Difference Vegetation Index (NDVI). Yet, due to the limitation of temporal resolution of satellites and periods with large cloudy weather can make the analysis difficult. This study proposed the use of the harmonic analysis time series algorithm (HANTS) to aid the incompleteness of time series obtained by the available satellite images in a case study of soy culture in Brazil. By applying the algorithm, a harmonic interpolation is obtained to produce a full daily NDVI time series from the beginning to end of the study period, facilitating further analysis to obtain metrics of interest. In this study, time series with gaps on specified periods are created based on full time series, then interpolated and compared with the real ones based on root mean squared error (RMSE) to access its accuracy.
Extending BIM (Building Information Modelling) Object Model for Road Infrastructure Operation and Maintenance
Authors:   , Banakar Fereshteh
Published: November 2024

This thesis addresses critical information exchange challenges in road infrastructure projects in Australia and New Zealand, highlighting inefficiencies due to outdated systems and approaches. By extending Building Information Modelling (BIM) to the data handover stage, the study significantly enhances asset management practices. This research develops a harmonised road asset object model based on existing standards, serving as the foundation for CONie (Construction to Operation for Network information exchange)—a novel data exchange specification tailored for linear infrastructure asset management.
Religious Moderation: The Effect of Understanding Religious Moderation On Tolerance Perceptions and Behaviors In Vocational High School Students
Authors: Ariga Muhammad Safari
Published: November 2024

Based on the heterogeneous condition of SMK Subur Insani students based on ethnicity and religion, all students are male, and there have been no cases of religious moderation. This study aims to examine: 1) the level of understanding of religious moderation among students; 2) the level of students' perception of tolerance; 3) the level of student tolerance behaviour; 4) the influence of students' understanding of religious moderation on students' perceptions of tolerance; and 5) the influence of students' understanding of religious moderation on students' tolerant behaviour at Subur Insani Sambas Vocational School. The research procedure used quantitative data; there were 66 respondents, but only 55 students filled out the questionnaire. Data was collected using an understanding of religious moderation questionnaire, a tolerance perception questionnaire, and a tolerance behaviour questionnaire. Data analysis uses descriptive and statistical analysis. The findings of this research are: 1) The level of understanding of students' religious moderation is very high n = 85.80%; 2) The level of perception of students' tolerance is very high n = 91.91%; 3) The level of student tolerance behavior is very high n = 91.10%; 4) Understanding religious moderation (X) has a positive and significant influence on the perception of tolerance variable (Y1) seen from the statistical test results obtained tcount > ttable, namely 8.467 > 1.67412; 5) Understanding religious moderation (X) has a positive and significant influence on the tolerance behavior variable (Y2) in students at Subur Insani Sambas Vocational School as seen from statistical tests showing tcount > ttable, namely 5.247 > 1.67412.
Attā ammīni tašappara, „Du, warum schreibst Du mir?“ Verfasserinnen kassitenzeitlicher Briefe – 1. Teil
Authors: Zimmermann Lynn-Salammbô
Published: November 2024

Currently, about 1,2% of the Kassite period letters can be attributed to female senders. In this article, the language and style of three out of four preserved Kassite period letters sent by women are analysed based on the “Speech Act Theory”. The sender’s name is Inbi-Ajjāri. The application of the “Speech Act Theory” revealed that Inbi-Ajjāri had an influential position in a household in Nippur. She was in a position to give orders to the official Innannu and reprimand his behaviour. Secondly, this article evaluates the social context of Inbi-Ajjāri through a prosopographical analysis. Inbi-Ajjāri was involved in governance processes. Her letters imply that she belonged to a different household than Innannu. I suggest that she had a high-ranking managerial position, supervising agricultural workers and animals, and, possibly, also the textile production, perhaps, in the provincial or temple administration of Kassite period Nippur.
İslamcı Bir Grup Olarak Özgür-Der Çevresi: Kimliği, Teşkilat Yapısı ve Toplumsal Meselelere Dair Görüşleri
Authors: Ahnas Mehmet Ozan
Published: November 2024

Kişilerin gündelik ve sosyal hayatlarında toplumsal bir gerçeklik olarak varlık bulan dinî gruplar, postmodern dönemde de varlığını ve etkinliğini sürdüren önemli sosyolojik bir olgular olarak karşımıza çıkmaktadır. Dinî grupların tercih edilmelerinde, bireysel ve toplumsal açıdan sahip oldukları fonksiyonların büyük önem taşıdığı ifade edilebilir. Yanı sıra dinî grupların tarihsel süreçte bu işlevlerinin yalnızca dinsel alanla sınırlı kalmadığı, sosyal yardımlaşmadan eğitime kadar birçok farklı faaliyet yürüttükleri görülmektedir. Türkiye’deki dinî grupların çoğunluğu, dinî hizmetlere aracılık yaptığı gerekçesiyle, dergi, gazete, TV kanalı, internet sitesi gibi yayın organlarını kullanmaktadırlar. Dinî grupların sosyolojik olarak araştırılmasının, toplumsal yapının anlaşılmasında bir barometre işlevi gördüğü düşünülmektedir. Diğer bir ifadeyle din ve toplum ilişkilerine analitik olarak bakabilmenin bir yolu da dinî grupların araştırılmasıdır. Dinî gruplara ilişkin literatürde, araştırılan grupların yapılarıyla ilgili genel bilgilerin verildiği, geniş bir çerçeve sunan ve spesifik yönlere odaklanan çalışmaların yetersiz olduğu görülmektedir. Bu araştırma, Haksöz Dergisi çevresinin bütüncül bir perspektif ile ve üyelerin sistematik yaklaşımlarıyla, grubun yapısal mekanizması, işleyiş mantığı, grupsal kimliği, inanç ve eylemlerinin neler olduğunu ele almaktadır. Araştırmanın bu yönüyle diğer çalışmalardan farklılaştığı söylenebilir. Özgür-der’i konu edinen bu çalışma, nitel yöntemin teknikleriyle ulaşılan verileri, bütüncül bir yaklaşımla sunmaktadır. Bu yöntemle bahsi edilen grup üyelerinin “dinî kimlik, sosyal meselelere yaklaşımları ve teşkilat yapısı” hakkındaki görüşleri betimsel bir şekilde yorumlanmaya çalışılmaktadır. Araştırmada Özgür-der çevresinin muhalif siyasi görüşleri, kitlesel eylemlere öncelik vermesi, lider merkezli olmaktan öte istişareye dayalı bir yapılanma olması onu Türkiye’deki diğer dinî grup ve cemaatlerden farklılaştırmaktadır. Nitekim diğer bazı cemaat yapılarında görülebilen özel zikir/tesbihat biçimleri, belli formlardaki kılık- kıyafet seçimleri ve saç sakal kesimleri gibi şekilsel vurguların olmayışı, Özgür-der çevresini diğer dinî gruplardan ayıran unsurlar arasında gösterilebilir. Sonuç olarak Özgür-der, Türkiye’nin yaygın cemaat yapısındaki biçimsel ve düşünsel nitelikleri taşımaması açısından diğer dinî gruplardan ayrışmaktadır.
Research on the Development of a Scenario and Evaluation Criteria for the Evaluation of Autonomous Vehicle AI Safe Driving Ability based on the Road Traffic Law
Authors:   Korea Safety Culture Society, Jeong Hyeon Suk , Jeon Jin Sook
Published: November 2024

Recently, research on the verification of autonomous vehicle performance is being actively conducted worldwide. This study aimed to go beyond simple performance verification and explore the range within which autonomous vehicles can be socially accepted in mixed-traffic situations with human drivers. To this end, the study sought to develop scenarios for evaluating the safe driving capabilities of autonomous vehicles to determine whether they can comply with road traffic laws in the same manner as human drivers in such mixed-traffic environments. The scenarios developed in this study include realistic aspects such as the level of traffic accident risk, compliance with laws, yielding behavior, and maintaining safety in situations where human drivers are present. During the scenario development process, evaluation items based on the Road Traffic Law were identified, and a new scenario layer was created to apply these items by incorporating the Road Traffic Law into the layer. In addition, each scenario item was coded to ensure that the scenarios could be expressed in a simplified and standardized format. In total, 42 scenarios based on road traffic laws were developed to evaluate the driving capabilities of autonomous vehicles. After constructing a virtual environment using Software in the Loop Simulation (SILS), we verified the compliance of autonomous vehicles with the laws for each scenario. Furthermore, quantitative evaluation criteria and tolerance ranges were derived to assess autonomous vehicles based on the abstract Road Traffic Laws. Through this study, we established a foundation for evaluating the safe driving capabilities of autonomous vehicles in basic road regulation situations, which differs from the existing evaluation systems that focus on the physical functions and performance aspects of sensors. This is expected to serve as foundational data for future development of a realistic test and evaluation system for assessing the driving capabilities and behavior of autonomous vehicles.
Rezension von: Neumüllers-Klauser, Renate, Die Inschriften des Landkreises Calw ...
Authors: Setzler Wilfried , Neumüllers-Klauser Renate , Drös Harald , Fritz Gerhard
Published: November 2024

Die Inschriften des Landkreises Calw. Gesammelt und bearbeitet von Renate Neumüllers-Klauser. (Die Deutschen Inschriften, Band 30). Dr. Ludwig Reichert Verlag Wiesbaden 1992. 250 Seiten und 109 Abbildungen sowie eine Karte. Leinen DM 142,-
Die Inschriften des Rems-Murr-Kreises. Gesammelt und bearbeitet von Harald Drös und Gerhard Fritz unter Benutzung der Vorarbeiten von Dieter Reichert. (Die Deutschen Inschriften, Band 37). Dr. Ludwig Reichert Verlag Wiesbaden 1994. 228 Seiten und 121 Abbildungen sowie eine Karte. Leinen DM 110,-
Rezension von: Fischer, Erhard, Die Stadt Schorndorf im Spiegel der Literatur
Authors: Wandel Uwe Jens , Fischer Erhard
Published: November 2024

Erhard Fischer: Die Stadt Schorndorf im Spiegel der Literatur. Eine Bibliographie. 3. Teil: Das Schrifttum zur Orts-, Personen- und Familiengeschichte 1981-1994. Selbstverlag Schorndorf 1995. XXII, 78 Seiten. Gebunden DM 19,80 (zu beziehen beim Autor,Beundenstraße 40, 73614 Schorndorf).
Evaluation of the impact of wood forest management operations on Amazon nut trees in forest concession areas in the Amazon
Authors: Gomes Joana Keila da Silva , Cunha Thiago Augusto da , Wadt Lucia Helena de Oliveira , Figueiredo Evandro Orfanó
Published: November 2024

The Amazon rainforest holds has immense biodiversity and offers various possibilities for use. Moreover, there is an increasing need for development models that reconcile the rational use of forest resources with socio-economic development. Multiple-use forest management emerges as a legal mechanism for the sustainable use of forest resources. In this context, a forest use system that appears suitable for multiple-use management is one where timber is selectively harvested from forests that are also sources of Brazil nuts. However, the effects of logging management on forests with a high density of Brazil nut trees needs to be studied, as the damage resulting from logging operations on Bertholletia excelsa Bonpl. trees may impact the long-term maintenance of these nut stands. This study aimed to assess the impact of logging operations for timber production on Brazil nut trees to evaluate the compatibility of logging management with the management of native nut stands in a forest concession area in the Amazon. The study was conducted in two National Forests (Jamari and Jacundá) in the state of Rondônia. The damage from cutting and logging operations on the canopy structure of Brazil nut trees was quantified and assessed using photogrammetry with remotely piloted aircraft. The Jamari National Forest showed 4.3% canopy damage to Brazil nut trees, while the Jacundá National Forest showed 3.2% damage. The results indicated that the damage to the canopies of Brazil nut trees due to timber extraction was minimal, suggesting potential compatibility between logging management and the management of native nut stands. However, further studies are needed, especially those focused on planning the collection of Brazil nuts, since access to the nut stands is essential for effectively structuring management, ensuring that the full production potential is sustainably managed and generates income for the extractivists.
Semantic Analysis of Selected Nigerian Newspaper Reports on the Effect of the 2023 Naira Redesign
Authors: Obasi Jane Chinelo , Obielo Sandra Chinenyenwa
Published: November 2024

This study is a semantic analysis of news reports on the effect of the 2023 Nigerian Naira redesign from selected Nigerian newspapers. A total of 40 news reports were purposively sampled from four Nigerian newspapers (The Sun, Vanguard, The Guardian and Premium Times). Fillmore’s (1982) Frame Semantic Theory, which proposed that language is composed of semantic frames, which are mental representations of situations or scenarios, was adopted for this study. A qualitative research design was employed in the data analysis to examine the elements of Frame Semantic Theory evident in the extracted data. The findings revealed that all the four newspapers consistently framed the effects of the Naira redesign within the context of economic hardship. It also revealed that the newspapers predominantly conveyed negative perspectives regarding the Naira redesign. The cross-newspaper comparative analysis also highlighted the widespread and varied effects of the Naira redesign.
A Great Leap Forward: Changing Landscape of Shadow Energy-Maritime Economy Off the Coast of Nigeria
Authors: Balogun Wasiu A. , Adesanya Olusegun Paul
Published: November 2024

The Atlantic coast of Nigeria, especially the Niger Delta corridor is a dynamic energy-maritime space. The region witnesses a trend in continuous evolution, propelled by the intersection of the upper world and underworld economic activities, with several individual and institutional actors at its core. The underworld end of the socio-economic spectrum on which this coastal region of Nigeria is anchored is known for its robustness and has attracted significant scholarly attention. In furtherance of scholarly interrogation of the region’s informal economy, this paper critically analyses the pervasiveness, entrenchment, and dynamics of shadow energy activities in the Niger Delta. Primarily, in a theoretical construction, the study discusses trends, patterns, and overlaps in the transition of energy-maritime shadow activities in the region. The study adopts a qualitative research method; combining primary data with a synthesis of the extant literature on the region’s shadow economy and the involvement of organised crime in the region’s energy-maritime landscape. The objective of the study flows from the fact of a great leap forward in shadow economy in the region through different social realities- grievance, greed, illegality, and organised crime. The paper develops a hybrid theory of crime; enterprise-value chain as an analytical archetype to explain the latest stage in the evolution of the underworld, shadow energy-maritime activities off the coast of Nigeria.
Awareness and Usage of Artificial Intelligence (AI) in Promoting Music Broadcast on Radio in Warri, Nigeria
Authors: Okpeki Igue Philo , Onyenye Temabor Peace
Published: November 2024

This paper investigates the level of awareness and usage of artificial intelligence (AI) for promoting music broadcast on radio stations in Warri, Nigeria. The study was prompted by the paradigm shift that is brought about by the advent of artificial intelligence. Despite the advantages inherent in technology most radio stations appear to lack knowledge of the component meant for the broadcast of music.  Thus, the study establishes the extent to which the radio station in Warri, Nigeria has become AI compliant in relaying music. To determine the AI awareness level and extent of usage in music promotion on radio stations, the researcher conducted interview sessions using four (4) radio stations, forty-one (41) on Air Personalities (OAP). A Self Respondent Interview Research Instrument was administered via email contact. The study was guided by three (3) research questions. Data were analyzed with the aid of percentage calculation measure to decide the level of awareness and usage of the AI tools connected to music broadcast on radio. The study found that respondents show low level of awareness of significant AI tools and thus could not deploy AI technologies for broadcast of music. The study concludes that it is important to create high level of awareness in the use of AI tools for promotion of music broadcast on radio. The study recommends that OAP should acquire the knowledge of AI tools related to promotion of music on radio stations. The proprietors of radio stations should provide training on the use of AI technologies to enable them become AI compliant in radio broadcasting.