bluuebunny/crossref_metadata_2025 huggingface dataset:
TÜRKİYE’DE ENDÜSTRİ MÜHENDİSLİĞİNE BİR BAKIŞ: GEÇMİŞİ, BUGÜNÜ VE GELECEĞİ
Authors: SABUNCUOĞLU İhsan , DENGİZ Berna
Published: July 2022

Amaç: Bu yazıda mevcut verilere dayalı olarak Endüstri Mühendisliği (EM)’nin Türkiye’deki tarihsel gelişimi, bugünkü durumu ve geleceğiyle ilgili bir değerlendirme yapmak, gelecekte yapılacak farklı değerlendirme çalışmaları için bir temel oluşturmak amaçlanmıştır.
Yöntem: Literatür taraması yapılmış, mevcut istatistiklerin değerlendirilerek yazarların alanla ilgili deneyim ve bilgi birikimine dayalı öneriler geliştirilmiştir.
Bulgular: Bu yazıda "EM'nin Türkiye’de en çok tercih edilen ve geniş bir yelpazede uygulama alanı bulan meslekler" arasında olduğu istatistiklere dayalı olarak ortaya konmuştur. Günümüzde yaşanan hızlı değişime uygun olarak EM'nin bu konumunun sürdürülebilirliğinin nasıl sağlanacağı incelenmiştir. İyileştirmeye açık alanlara, örneğin; Üniversite-Sanayi işbirliği, EM'nin dijitalleşme alanında yerini alması, Z-kuşağı'nın dikkate alınarak eğitim ve öğretim programlarının yenilenmesi, hizmet sektörüne doğru kayan eğilimin imalat sektörüne döndürülmesi gibi konulara dikkat çekilmiştir. Bunlara ek olarak küresel problemlerin örneğin açlık, sağlık, eğitim, girişimcilik-yenilikçilik (inovasyon), sürdürülebilirlik, barış ve demokrasi, ekonomik kalkınma vb. ayırdında olan Endüstri mühendislerinin nasıl yetiştirilebileceği tartışılmıştır.
Özgünlük: Türkiye’de EM’nin tarihsel gelişimi başlangıçtan günümüze dek bu boyutta ilk kez ele alınmış ve bu değerlendirme çalışması hazırlsanmıştır.
A NEW SCORING APPROACH TO CALCULATE OVERALL EQUIPMENT EFFICIENCY: A CASE STUDY
Authors: HATİPOĞLU Sercan , AKAR Cüneyt
Published: July 2022

Purpose: The aim of the study is to compare and analyze Overall Equipment Efficiency (OEE) and Total Effective Equipment Performance (TEEP) metrics, identify deficiencies and suggest a new and usable OEE calculation methodology for a manufacturing company.
Methodology: The results of OEE, TEEP, and the proposed method were compared in a faucet production company in Turkey. The defined scorings were used to maintain the structure of the OEE focused on losses, and the TEEP metric was used to include planned downtimes in the proposed method.
Findings: According to the results of the study, the proposed metric broaden the structure of OEE that focuses solely on equipment, while maintaining its structure that focuses on losses.
Originality: No other study has been found in the literature that compares OEE and TEEP metrics over the same production data, and then focuses on the strengths of the two metrics and proposes a new method. It is predicted that the study will fill this gap in the literature and will be a guide for the development of different new metrics.
Subtitusi Krokot (Portulaca oleracea L.) dalam Ransum terhadap Kandungan Kolesterol Daging, Darah dan Trigliserida pada Ayam Broiler
Authors: Manafe Manix Etwan
Published: July 2022

Penelitian ini bertujuan untuk mengkaji pengaruh tepung krokot (Portulaca oleracea L.) dalam ransum terhadap kandungan kolesterol pada ayam broiler. Ayam broiler yang digunakan adalah strain CP 707 sebanyak 100 ekor dengan masa pemeliharaan 6 minggu. Metode yang digunakan adalah metode percobaan Rancangan Acak Lengkap Blok (RAL B) yang terdiri dari 4 perlakuan, 5 blok dan 5 ulangan. Empat perlakuan tersebut P0 = ransum komersial tanpa tepung krokot, P5 = ransum komersial yang mengandung 5% tepung krokot, P10 = ransum komersial yang mengandung 10% tepung krokot dan P15 = ransum komersial yang mengandung 15% tepung krokot. Variabel yang diukur adalah kolesterol daging, total kolesterol darah dan trigliserida dalam darah. Hasil penelitian menunjukkan bahwa penggunaan tepung krokot dalam ransum berpengaruh terhadap penurunan kadar kolesterol daging sebesar 32,71%, kolestrol darah sebesar 17,83%, dan trigliserida sebesar 27,50% pada ayam broiler. Penurunan kadar kolestrol daging, total kolestrol darah dan trigliserida ini dipengaruhi oleh kandungan serat kasar dan asam lemak pada pakan yang digunakan.
The paradox of assessing greenhouse gases from soils for nature-based solutions
Authors: Vargas Rodrigo , Le Van Huong
Published: July 2022

Abstract. Quantifying the role of soils in nature-based solutions require accurate estimates of soil greenhouse gas (GHG) fluxes. Technological advances allow to simultaneously measure multiple GHGs and now is possible to provide complete GHG budgets from soils (i.e., CO2, CH4 and N2O fluxes). We propose that there is a conflict between the convenience of simultaneously measuring multiple soil GHG fluxes at fixed time intervals (e.g., once, or twice per month) and the intrinsic temporal variability and patterns of different GHG fluxes. Information derived from fixed time intervals -as is commonly done during manual field campaigns- had limitations to reproduce statistical properties, temporal dependence, annual budgets, and associated uncertainty, when compared with information derived from continuous measurements (i.e., automated hourly measurements) for all soil GHG fluxes. We present a novel approach (i.e., temporal univariate Latin Hypercube sampling) that can be applied to optimize monitoring efforts of GHG fluxes across time. We suggest that multiple GHG fluxes should not be simultaneously measured at few fixed time intervals (especially once a month), but an optimized sampling approach can be used to reduce bias and uncertainty. These results have implications for assessing GHG fluxes from soils and consequently reduce uncertainty on the role of soils in nature-based solutions.
Impact of rupture complexity on seismic hazard: Case of the 2018 Mw7.5 Palu earthquake
Authors: Jiao Liqing , Wang Teng , Feng Guangcai , Tapponnier Paul , Simanjuntak Andrean V. H. , Chan Chung-Han
Published: July 2022

Abstract. Rupture complexity results in difficulty with quantifying seismic hazards, such as the probability of an earthquake on multiple segments in an active fault system and spatial distribution of the fault displacement on the surface. Here we propose a dynamic model to explain rupture complexity. To confirm this model’s credibility, we used it to explain the rupture behavior of the 2018 Mw7.5 Palu earthquake, which splayed along several sub-fault planes on the surface. The Palu event initiated on an unidentified fault and propagated on a curved plane on the Palu-Koro and Matano faults. According to the Interferometric Synthetic Aperture Radar data, both principal (on-fault) and distributed (off-fault) faulting were identified, and spatial displacement on the surface could be evaluated. To model the complex geometry of the coseismic rupture plane and corresponding deformation, we proposed a dynamic model through the discrete element method. Our model demonstrated rupture along a planar fault at depth and several splay faultings with various deformation on the surface, corresponding to the observations. The simulations represented temporal rupture behavior that covers several earthquake cycles and probability of superficial fault displacement that shed light on subsequent seismic hazard assessment and probabilistic fault displacement hazard analysis, respectively.
Statistical distribution of mirror mode-like structures in the magnetosheaths of unmagnetised planets: 1. Mars as observed by the MAVEN spacecraft
Authors: Simon Wedlund Cyril , Volwerk Martin , Mazelle Christian , Rojas Mata Sebastián , Stenberg Wieser Gabriella , Futaana Yoshifumi , Halekas Jasper , Rojas-Castillo Diana , Bertucci César , Espley Jared
Published: July 2022

Abstract. In this series of papers, we present statistical maps of mirror mode-like (MM) structures in the magnetosheaths of Mars and Venus and calculate the probability of detecting them in spacecraft data. We aim to study and compare them with the same tools and a similar payload at both planets. We consider their dependence on Extreme Ultraviolet (EUV) solar flux levels (high and low), and, specific to Mars, on Mars Year (MY) as well as atmospheric seasons (four solar longitudes Ls). We first use magnetic field-only criteria to detect these structures and present ways to mitigate ambiguities in the nature of the detected structures. In line with many previous studies at Earth, this technique has the advantage of using one instrument (a magnetometer) with good time resolution facilitating comparisons between planetary and cometary environments. Applied to the magnetometer data of the Mars Atmosphere and Volatile EvolutioN (MAVEN) spacecraft from November 2014 to February 2020 (MY32–MY35), we detect structures closely resembling MMs lasting in total more than 170,000 s, corresponding to about 0.1 % of MAVEN's total time spent in the Martian plasma environment. We calculate MM-like occurrences normalised to the spacecraft's residence time during the course of the mission. Detection probabilities are about 1 % at most for any given controlling parameter. In general, MM-like structures appear in two main regions, one behind the shock, the other close to the induced magnetospheric boundary, as expected from theory. Detection probabilities are higher on average in low solar EUV conditions, whereas high solar EUV conditions see an increase in detections within the magnetospheric tail. We tentatively link the former tendency to two combining effects: the favouring of ion cyclotron waves the closer to perihelion due to plasma beta effects, and, possibly, the nongyrotropy of pickup ion distributions. This study is the first of two on the magnetosheaths of Mars and Venus.
Natural gas supply from Russia derived from daily pipeline flow data and potential solutions for filling a shortage of Russian supply in the European Union (EU)
Authors: Zhou Chuanlong , Zhu Biqing , Davis Steven J. , Liu Zhu , Halff Antoine , Arous Simon Ben , de Almeida Rodrigues Hugo , Ciais Philippe
Published: July 2022

Abstract. Russia is the largest natural gas supplier to the EU. The invasion of Ukraine was followed by a cut-off of gas supplies from Russia to many EU countries, and the EU is planning to ban or dramatically reduce its dependence from Russia. We provide a dataset of daily gas consumption in five sectors (household and public buildings heating, power, industry, and other sectors) with supply source shares in the EU27 & UK from 2016 to 2022. The dataset separates the contributions of Russian gas imports, and other supply sources, and accounts for storage to estimate consumption. The dataset was developed with a gas network flow simulation model based on mass flow balance by combining data from multiple datasets including daily ENTSO-G pipelines gas transport and storage, ENTSO-E daily power production from gas, and Eurostat monthly gas consumption statistics per sector. The annual consumption data was validated against BP Statistical Review of World Energy and Eurostat datasets. We secondly analysed the share of gas supplied by Russia in each country to quantify the ‘gap’ that would result from a cessation of all Russian exports to Europe. Thirdly, we collected multiple data sources to assess how national gaps could be alleviated by 1) reducing the demand for heating in a plausible way using the lower envelope of gas empirical consumption – temperature functions, 2) increasing power generation from sources other than gas, 3) transferring gas savings from countries with surplus to those with deficits, and 4) increasing imports from other countries like Norway, the US, and Australia from either pipelines or LNG imports, accounting for existing capacities. Our results indicate that it should be theoretically possible for the EU to make up collectively for a sudden shortfall of Russian gas if combining the four solutions together, provided a perfect collaboration between EU countries and with the UK to redistribute gas from countries with surplus to those with deficits. Further analyses are required to investigate the implications for the costs including social, economic, and institutional dimensions, political barriers, and negative impacts on climate policies with inevitable increases of CO2 emissions if the use of coal is ramped up in the power sector.
Influences of Slope Angle on Propagation and Deposition of Laboratory Landslides
Authors: Wu Yan-Bin , Duan Zhao , Peng Jian-Bing , Zhang Qing
Published: July 2022

Abstract. Slope angle is an important influence on the motion characteristics and deposit morphologies of landslides. In this study, an advanced 3D scanner was used to study laboratory landslides at various slope angles. The laboratory landslides had different motion characteristics. An increase of the runout of the laboratory landslides with the slope angles meant that the amount of energy loss was great due to the collision of sliding mass at the slope break. The length and area of these laboratory landslides increased first and then decreased during their whole motion. The surface morphologies of the deposits differed according to the slope angles. At low slope angles, they exhibited a series of transverse ridges formed by overthrusting. At moderate slope angles, they exhibited conjugate troughs (X-shape wash) formed by shearing on the accumulation zone. At high slope angles, they exhibited a double-upheaval morphology formed by the rear portion of the sliding mass impacting the forward portion. A theoretical relationship between the apparent friction coefficient and slope angle is proposed, based on a hypothesis the ratio of energy dissipation occurring when an object collides with a plane is exponentially related to the acute angle between the object’s direction and the plane’s normal direction. The study will support studies on the morphological variation during the whole motion and mobility of landslides.
PVN 1.0: using dynamic PFTs and restoration scenarios to model CO2 and CH4 emissions in peatlands
Authors: Lippmann Tanya Juliette Rebecca , Heijmans Monique , Dolman Han , van der Velde Ype , Hendriks Dimmie , van Huissteden Ko
Published: July 2022

Abstract. Peatlands are the world’s largest terrestrial carbon store. Despite covering only 3 % of the planet’s land surface, peatlands store 30 % of the planet’s terrestrially available carbon. The Dutch government's 2019 National Climate Agreement committed to reduce the contribution of peatlands to total national Dutch greenhouse gas (GHG) emissions, by 1 Mton CO2 per year (20 %) until 2030. Countries with similarly degraded peatlands are likely to face similar commitments in the coming years. Restoration (or rewetting) is a proposed solution to reduce land subsidence and increase carbon sequestration in agricultural peatlands but is often accompanied by large CH4 emissions. Whilst, previous studies have investigated whether singular plant types impact the GHG emissions of peatlands, few (or no) studies have investigated the impact of plant composition on GHG emissions in peatlands. To assess the impact of dynamic vegetation on subsequent GHG fluxes in peatlands, we developed a new model, Peatland-VU-NUCOM (PVN). This is the second process-based model to date, capable of simulating dynamic vegetation, CO2, and CH4 emissions in peatlands. The new PVN model simulates CH4 and CO2 fluxes in relation to the plant community composition. The PVN model includes plant competition, CH4 diffusion, ebullition, root, shoot, litter exudate production, below-ground decomposition, and aboveground moss development, under changing water table and climatic conditions. The model was compared against observational data collected at two sites in the Netherlands. These results showed that plant communities impact net GHG emissions. This is the first time that a peatland emissions model is able to investigate the role of re-introducing peat forming vegetation on subsequent GHG emissions. We also found that the initial plant community influenced the potential for harvest events to reduce GHG emissions. These results indicated that plant community restoration is a critical component of peatland restoration.
ROADSIDE FOREST MODELING USING DASHCAM VIDEOS AND CONVOLUTIONAL NEURAL NETS
Authors: Joshi D. , Witharana C.
Published: July 2022

Abstract. Tree failure is a primary cause of storm-related power outages throughout the United States. Roadside vegetation management is therefore critical to electric utility companies to prevent power outages during extreme weather conditions. It is difficult to execute roadside vegetation management practices, at the landscape level, without proper monitoring of roadside forests’ physical structure and health condition. Remote sensing images and LiDAR are widely used to characterize the forest edge; however, the limitation on the temporal and spatial resolution for most of that dataset is a big challenge. Also, there is a need for a ground-level dataset that provides the vertical profile of the forest trees so that we can more accurately characterize the forest structure and health and recommend the optimal management strategies according to the local forest conditions. For the first time, we introduced Dashcam videos as an alternative to the existing aerial remote sensing data sources to characterize the roadside forest condition using the deep learning (DL) convolutional neural net (CNN) algorithms. In this study, we used dashcam videos taken during the leaf-on and leaf-off conditions and various weather conditions along the roadside. We trained a DLCNN model based on the U-Net and YOLO v5 architectures to classify the multilayer vegetation and detect utility poles and tree trunks alongside the road. Our experiment results suggest that a dashcam can be a viable alternative and complementary way to characterize the roadside vegetation and can be used in the management of roadside forests as a cost-effective data acquisition mechanism for utility companies.
SA-NET.V2: REAL-TIME VEHICLE DETECTION FROM OBLIQUE UAV IMAGES WITH USE OF UNCERTAINTY ESTIMATION IN DEEP META-LEARNING
Authors: Khoshboresh-Masouleh M. , Shah-Hosseini R.
Published: July 2022

Abstract. In recent years, unmanned aerial vehicle (UAV) imaging is a suitable solution for real-time monitoring different vehicles on the urban scale. Real-time vehicle detection with the use of uncertainty estimation in deep meta-learning for the portable platforms (e.g., UAV) potentially improves video understanding in real-world applications with a small training dataset, while many vehicle monitoring approaches appear to understand single-time detection with a big training dataset. The purpose of real-time vehicle detection from oblique UAV images is to locate the vehicle on the time series UAV images by using semantic segmentation. Real-time vehicle detection is more difficult due to the variety of depth and scale vehicles in oblique view UAV images. Motivated by these facts, in this manuscript, we consider the problem of real-time vehicle detection for oblique UAV images based on a small training dataset and deep meta-learning. The proposed architecture, called SA-Net.v2, is a developed method based on the SA-CNN for real-time vehicle detection by reformulating the squeeze-and-attention mechanism. The SA-Net.v2 is composed of two components, including the squeeze-and-attention function that extracts the high-level feature based on a small training dataset, and the gated CNN. For the real-time vehicle detection scenario, we test our model on the UAVid dataset. UAVid is a time series oblique UAV images dataset consisting of 30 video sequences. We examine the proposed method's applicability for stand real-time vehicle detection in urban environments using time series UAV images. The experiments show that the SA-Net.v2 achieves promising performance in time series oblique UAV images.
ASSESSING RED PINE SEEDLINGS USING UAV POINT CLOUDS AND FIELD-VERIFIED DATA
Authors: Poudel A. , Bevilacqua E.
Published: July 2022

Abstract. Accurate, reliable, and cost-efficient approaches to forest monitoring are critical for sustainable forest management. The use of digital photogrammetry for tree height estimation is well-known among forest managers and remote sensing researchers. Satellite remote sensing has not been very successful in providing detailed and reliable estimates of tree height. Unmanned Aerial Vehicles (UAVs) are one of the latest remote sensing platforms to get forest attributes information at very high temporal and spatial resolution. This study assessed the potential of using digital aerial photogrammetry point clouds and UAV acquired high-resolution imagery to estimate red pine seedlings' height in Adirondacks, New York. Seedling's location, height, crown width, and diameter were measured from 16 fixed area sample plots, and multispectral imagery was acquired with DJI Matrice 100- UAV fitted with Micasense RedEdge-M camera. UAV was flown under clear sky conditions at 93-meter height in a single grid pattern with 80% front and side overlap. PIX4D software was used to process UAV multispectral imagery and generate Digital Surface Model (DSM) and Orthomosiac at 6.08 cm/pixel resolution along with 3D Digital Terrain Model (DTM). 3D densified point cloud layers of regeneration canopy were generated at an average density of 1.54 per m3. Seedlings were differentiated from bare ground cover through supervised image classification methods. Preliminary results of this study highlight that multispectral imagery acquired from UAVs has the potential to characterize and provide detailed structural information to estimate red pine seedlings' height.
LAND USE LAND COVER MAPPING USING UAS IMAGERY: SCENE CLASSIFICATION AND SEMANTIC SEGMENTATION
Authors: Rajkumar M. , Nagarajan S. , DeWitt P.
Published: July 2022

Abstract. Land use and Land cover classification plays a vital role in understanding the changes happening on the surface of the earth. Vegetation classification can be performed by incorporating various deep learning models using Convolution Neural Network approach. The primary purpose of this research is to test the performances of pre-existing Deep Convolution Neural Network (CNN) models for vegetation classification in the Jupiter Inlet Lighthouse Outstanding Natural Area (JILONA). Specifically, this study focuses on examining of the capacity of Scene and Pixel classification technique using certain 3 band and 5 band combinations. Eight well known scene-based deep convnets, namely VGG19, ResNet152V2, InceptionV3, EfficientNetB5, Xception, InceptionResNetV2, MobileNetV2, DenseNet201, and one important pixel classification model, UNet have been used for vegetation mapping in the North and South part of the JILONA. Among all the scene classification models, EfficientNetB5 and DenseNet201 outperformed all other models with an accuracy of over 97%. Xception and ResNet152V2 model exhibited 95% accuracy, whereas the accuracy of remaining models ranged from 85% to 92%. The classification map achieved through UNet pixel-based method, resulted with an accuracy of about 87% and an even better 91% when all 5 bands (Blue, Green, Red, RedEdge, Near-infrared) were used for training.
AUTOMATED RECOGNITION OF PERMAFROST DISTURBANCES USING HIGH-SPATIAL RESOLUTION SATELLITE IMAGERY AND DEEP LEARNING MODELS
Authors: Udawalpola M. R. , Witharana C. , Hasan A. , Liljedahl A. , Ward Jones M. , Jones B.
Published: July 2022

Abstract. The accelerated warming conditions of the high Arctic have intensified the extensive thawing of permafrost. Retrogressive thaw slumps (RTSs) are considered as the most active landforms in the Arctic permafrost. An increase in RTSs has been observed in the Arctic in recent decades. Continuous monitoring of RTSs is important to understand climate change-driven disturbances in the region. Manual detection of these landforms is extremely difficult as they occur over exceptionally large areas. Only very few studies have explored the utility of very high spatial resolution (VHSR) commercial satellite imagery in the automated mapping of RTSs. We have developed deep learning (DL) convolution neural net (CNN) based workflow to automatically detect RTSs from VHRS satellite imagery. This study systematically compared the performance of different DLCNN model architectures and varying backbones. Our candidate CNN models include: DeepLabV3+, UNet, UNet++, Multi-scale Attention Net (MA-Net), and Pyramid Attention Network (PAN) with ResNet50, ResNet101 and ResNet152 backbones. The RTS modeling experiment was conducted on Banks Island and Ellesmere Island in Canada. The UNet++ model demonstrated the highest accuracy (F1 score of 87%) with the ResNet50 backbone at the expense of training and inferencing time. PAN, DeepLabV3, MaNet, and UNet, models reported mediocre F1 scores of 72%, 75%, 80%, and 81% respectively. Our findings unravel the performances of different DLCNNs in imagery-enabled RTS mapping and provide useful insights on operationalizing the mapping application across the Arctic.
TRACKING THE GODZILLA DUST PLUME USING GOOGLE EARTH ENGINE PLATFORM
Authors: Asare-Ansah A. B. , Twumasi Y. A. , Ning Z. H. , Ansah P. B. , Frimpong D. B. , Owusu F. , Apraku C. Y. , Anokye M. , Loh P. M. , Armah R. N. D. , Oppong J.
Published: July 2022

Abstract. As part of Earth’s nutrient cycle, a layer of air travels every summer from Africa across the Atlantic Ocean. In June 2020, the thickest and densest dust plume traveled over 5000 miles along with the Saharan Air Layer (SAL) from Africa towards the USA and the Caribbean. Due to its gravity and impact, it was nicknamed “Godzilla”. While the cause of this event remains unclear, the advantage of using remote sensing applications to monitor aerosol concentrations and movement provides future opportunities to leverage machine learning technologies to build predictive models with the goal of early forecasting and public health interventions. The Sentinel-5P satellite instrument measures the air quality, ozone, and Ultraviolet (UV) radiation, and can be used for climate monitoring, and forecasting. Available on this platform is the UV Aerosol Index (AI) product, a qualitative index that indicates the presence of elevated layers of aerosols in the atmosphere. In this paper, we used Google Earth Engine to monitor the transatlantic movement of this historic dust plume across the Sahara Desert and estimate the aerosol concentrations throughout June 2020. The flexibility of the platform enabled us to generate time series maps to visualize the movement of the Godzilla dust storm from the Sahara Desert across the ocean. The results obtained are relevant for effective planning and interventions to ameliorate the health threats associated with the movement of the dust plume. The outcome is useful for defining the relationship between aerosol concentrations, human health, and aquatic life.
ASSESSING THE ACCURACY OF GEOREFERENCED POINT CLOUDS FROM UAS IMAGERY
Authors: Clay E. R. , Lee K. S. , Tan S. , Truong L. N. H. , Mora O. E. , Cheng W.
Published: July 2022

Abstract. Unmanned Aircraft System (UAS) mapping methods determine the three-dimensional (3D) position of surface features. UAS mapping is often used, compared to traditional mapping techniques, such as the total station (TS), Global Navigation Satellite System (GNSS) and terrestrial laser scanning (TLS). Traditional mapping methods have become less favourable due to efficiency and cost, especially for medium to large areas. As UAS mapping increases in popularity, the need to verify its accuracy for topographic mapping is evident. In this study, an assessment of the accuracy of UAS mapping is performed. Our results suggest that there are many factors that affect the accuracy of UAS photogrammetry products. In specific, the distribution and density of ground control points (GCPs) are particularly significant for a study area of 2.861 km2 in size. The best results were obtained by strategizing the distribution and density of GCPs; where, the root mean square error (RMSE) for the X, Y, Z, and 3D was minimized to 0.012, 0.021, 0.038, and 0.045 meters, respectively, by applying a total of 15 GCPs in the aerotriangulation. Therefore, it may be concluded that UAS photogrammetric mapping can meet sub-decimeter accuracy for topographic mapping, if proper planning, data collection and processing procedures are followed.
ANALYSIS OF LOW-COST UAV PHOTOGRAMMETRY SOLUTIONS FOR BEACH MODELLING AND MONITORING USING THE OPENSOURCE QUANTUM GIS
Authors: Eboigbe M. A. , Kidner D. B. , Thomas M. , Thomas N. , Aldwairy H.
Published: July 2022

Abstract. Coastlines are fundamentally unique features. Their behavioural patterns are predominantly subjects of numerous environmental and engineering studies. With the magnitude of the effects of coastal flooding and erosion, there is a need for accurate techniques for data capture and data processing. With an emphasis on the zero-cost open source GIS software, there is no existing evaluative procedure for demonstrating the analytical capabilities of large-scale UAV-based outputs for microscale analysis for small changes on the beach such as sediment movement, erosion/accretion of individual features. There were four different drone surveys in the study area to determine microscale change over time. A three-stage analysis procedure helps in determining the overview of the coastline and highlights the region(s) of optimum change requiring further spatial analysis with micro-scale change detection. Results obtained show the analytical capabilities of large-scale UAV-based outputs for relatively small but detailed analysis using the open-source QGIS. Results obtained show that spatial analyses of the zoomed areas at different viewpoints and scales improve the confidence level of the hillshading and contour of that particular section on the coastline. The UAV photogrammetry and the three-stage analysis procedure can detect a 1cm change on the beach using the free and open-source QGIS software. It shows the profile modelling of the coastal inundations for both pre and post-flooding events at sub-centimetre intervals can be obtained from QGIS modelling, data computation, analysis, and visualization.
Retalho de transposição simples para fechamento de defeito cirúrgico nasal: relato de caso
Authors: Esposito Ana Cláudia Cavalcante , Robertis Nathália Mizukava Ávila de , Rodrigues Maria Gabriela Santos , Oliveira Crystian Bitencourt Soares de
Published: July 2022

O nariz é o órgão do aparelho respiratório que possui importância essencial na caracterização fenotípica do indivíduo. A ressecção de tumores cutâneos e ocorrência de traumas são as causas mais frequentes de defeitos cirúrgicos nasais. Tendo em vista a pequena redundância de tecido na região nasal, os retalhos cutâneos são frequentemente utilizados para fechamento de defeitos cirúrgicos podendo ser classificados quanto ao movimento realizado para fechamento da área: retalho de avanço, transposição, rotação ou interpolação. Retalhos de transposição simples são aqueles que, com apenas um lobo adicional, muda-se o eixo de força da pele promovendo o fechamento do defeito. Ele é realizado em um único tempo cirúrgico e propicia um bom ocultamento das cicatrizes quando bem planejado e executado. O caso relata uma paciente com defeito cirúrgico nasal decorrente da ressecção de carcinoma basocelular e que foi fechado através de retalho de transposição simples, em que apenas um lobo transposto é utilizado para fechamento, sem que houvesse retrações ou comprometimento estético/funcional nasal. Relatamos um caso de fechamento de defeito cirúrgico nasal A realização deste retalho nesta localização é pouco usual, pois o nariz é uma área de pouca redundância de tecido, o que seria um limitante para a execução da técnica. Defeitos cirúrgicos nasais são, em geral, desafiantes quanto à reconstrução. Retalhos de transposição simples são pouco utilizados nesta localização, mas devem ser considerados como opção sempre que houver mobilidade tecidual adjacente à ferida, defeitos relativamente pequenos e que não acometam múltiplas subunidades anatômicas.
La afirmación de la libertad en el pensamiento de Duns Escoto
Authors: Buch Lucas
Published: July 2022

En este artículo se explora el pensamiento de Duns Escoto sobre la libertad, para extraer algunos elementos que puedan servir a un estudio sistemático de la misma. Partiendo de la distinción entre natural y libre, se propone mostrar lo que es para el autor más específico de la libertad. Algo que, por tratarse de una perfección pura, se puede aplicar por igual a Dios y a las criaturas libres. Tras exponer el contenido y origen de la distinción, el artículo describe el pensamiento del franciscano sobre la libertad divina. Esta, en cuanto es infinita, es compatible con la necesidad; a la vez, en cuanto creadora, es capaz de un obrar contingente. En tercer lugar, se estudia la libertad humana, que es parte importante de la imagen de Dios en el hombre. La concepción escotista permite superar la idea de que la libertad depende de la imperfección del mundo contingente o de la imperfección del conocimiento que tenemos de él. Más bien, muestra que la libertad posee un acto propio, y, así, es algo más que un mero “corolario” del conocimiento.
Reflexión extrínseca y reflexión absoluta como respuesta al debate sobre las lecturas metafísicas o no metafísicas de Hegel
Authors: Ortigosa Andrés
Published: July 2022

Los hegelianos consideran normalmente el sistema filosófico de Hegel desde dos perspectivas: metafísica, interpretando esta disciplina como la central para comprender la obra del filósofo alemán, o no-metafísica, siendo más relevantes interpretaciones alternativas que rehúyen de tomar a la metafísica como punto central de la filosofía de Hegel. Este artículo presenta un estudio sobre los sentidos de la reflexión. Estos sentidos pueden ser extrínseco o absoluto. Estos dos sentidos son troncales del sistema hegeliano. Por eso, mediante un estudio de si la reflexión extrínseca y absoluta son nociones que nos guían hacia lecturas metafísicas o no-metafísicas se trata de dar una respuesta al debate entre las posibles interpretaciones de Hegel.
El estrechamiento del mundo. Observaciones acerca de la determinación del concepto de mundo en La Estrella de la Redención de F. Rosenzweig
Authors: Garrido Maturano Ángel Enrique
Published: July 2022

El artículo analiza primero el concepto metalógico de mundo en La Estrella de la Redención de F. Rosenzweig como un concepto cosmológico que no considera la diferencia cosmológica ni, consecuentemente, el movimiento ontogénico inmanente al mundo. A continuación, muestra en qué medida la categoría de Creación conserva un concepto cosmológico de mundo, pero priva a éste de la capacidad de originar sus contenidos. Luego analiza el desplazamiento del significado del mundo de uno cosmológico a uno antropológico-teológico en la Redención. Finalmente, determina el estatus epistemológico del discurso rosenzweiguiano sobre el mundo en el ámbito de la Creación y la Redención.
La jurisdicción civil y el extranjero en la escolástica española
Authors: Velasco Guerrero Lorena
Published: July 2022

Las cuestiones en torno a los extranjeros y su obligación de respetar y cumplir las normas nacionales - o civiles - del territorio donde se encuentran está tomando un papel de nuevo relevante en los últimos años debido a los movimientos migratorios y multiculturales. Abordada por multitud de autores a lo largo de los siglos, la pregunta ha sido respondida de diversas maneras, en función de la postura de los diversos autores en torno a conceptos jurídicos y políticos como ciudadanía, soberanía, autoridad o derecho. En esta investigación se va a analizar críticamente el desarrollo doctrinal realizado en torno a la obligatoriedad de la norma civil para los extranjeros en la Escolástica Española. En concreto, dado su rigor y profundidad, se va a analizar la cuestión en la doctrina de Francisco Suárez. Una vez analizada la doctrina, consideraremos las posibles influencias en el ámbito anglosajón.
Ferecides de Siro y las cosmologías quinarias de la antigüedad. Materiales para una discusión
Authors: Lazcano Vázquez Roque
Published: July 2022

El presente artículo intenta ofrecer un marco documental para la discusión sobre la estructura cosmológica de Ferecides de Siros. Partiendo de la polémica entre quienes le adjudican un cosmograma quinario y aquellos que lo interpretan septenario, proponemos un recorrido por las antiguas doctrinas cosmológicas quinarias, tanto griegas como orientales, a fin de explorar su recurrencia y variedad. Se constata que la disputa religiosa entre los apologetas del cinco y los del siete existía ya en la antigüedad, pudiendo haber afectado a la lectura que los doxógrafos hicieron entonces de la obra de Ferecides. Se expone la teoría de Nick Allen sobre la existencia de una «ideología pentádica» indoeuropea y se critica su sesgo idealista (pitagórico en la línea de Dumézil). Finalmente, se suscribe la hipótesis del origen «protogeométrico» de muchos de estos mapas ontológicos quinarios y se recapitulan las posibles referencias que manejaba el maestro de Pitágoras cuando ideó su teogonía.
Ética y religión: el humanismo cívico en Alexis de Tocqueville
Authors: Usategui Basozabal Elisa
Published: July 2022

Tocqueville es consciente de que el proceso de individualización que acompaña a las sociedades modernas erosiona la cohesión social. Tiene claro que el aparato institucional no garantiza por sí solo que los individuos en las sociedades modernas salgan del círculo de sus intereses privados y se sacrifiquen en aras del interés común, sobre todo, cuando el poder, agazapado a la sombra del individualismo democrático, mueve los hilos para que los individuos confundan su seguridad con la inacción política y la paz social con la paz de los cementerios. Si se quiere mantener el espíritu público en las democracias modernas habrá que encontrar herramientas capaces de infundir en los sentimientos y en la razón de sus ciudadanos los principios morales de un humanismo cívico, capaces de generar el interés por la «res publica». Tales son el interés bien entendido y la religión. Así, aunque en el plano personal las argumentaciones racionales acerca de la veracidad de las creencias cristianas no le sirven para creer en el Mesías crucificado, como sociólogo llegará al convencimiento de que la religión cristiana es necesaria para el desarrollo de una sociedad democrática que permita el pleno desarrollo de la libertad política y existencial de sus ciudadanos.
Laporte, Jean Pierre. y Bricault, Laurent, Le serapeum de Carthage. Colección Suplement à la Bibliotheca Isiaca, vol. I. Burdeos, Ausonius, 2020, 119 pp. ISBN: 978-23-5613-321-2
Authors: González Blasco Lorena
Published: July 2022

Reseña de la obra de Laporte, Jean Pierre. y Bricault, Laurent, Le serapeum de Carthage. Colección Suplement à la Bibliotheca Isiaca, vol. I. Burdeos, Ausonius, 2020, 119 pp. ISBN: 978-23-5613-321-2
Racial Rhetoric or Reality? Cautious Optimism on the Link Between Corporate #BLM Speech and Behavior
Authors: Lisa M. Fairfax
Published: July 2022

The summer of 2022 marks the two-year anniversary of the dramatic rekindling of the #BlackLivesMatter movement because of the murders of George Floyd, Breonna Taylor and other unarmed Black people at the hands of police. The summer of 2020 saw cities in the United States and around the world erupt in protest, with calls to dismantle racist policies and practices both in the criminal system and within the broader society, with a particular emphasis on policies and practices impacting Black people. The summer of 2022 also marks the two-year anniversary of the visible and somewhat surprising avalanche of corporate statements proclaiming solidarity with the Black community, condemning racism and bigotry, and pledging to help eradicate racist policies and practices within their own institutions. Corporations and their brands inundated the public with black squares, #BlackLivesMatter signs, and emphatic insistence that corporate leaders would “not be silent about our fight against racism and discrimination,” and that they would “do more . . . and do it now.”
Most commentators viewed these corporate statements with severe skepticism, characterizing them as “cheap talk,” a “marketing ploy,” or “an outright lie.” Relying on original empirical research, this Article refutes that skepticism and demonstrates that, just one year later, many corporations followed through on their talk with actions aimed at promoting diversity and eroding racist and discriminatory practices. This Article makes three critical assertions with respect to these corporate statements. First, this Article uses original empirical research to reveal that the vast majority of the corporate statements made in the summer of 2020 embodied a commitment to actively work against racism and discrimination and actively promote diversity and inclusion. Second, this Article draws upon original empirical research to refute critics and demonstrate that, on the one-year anniversary of these commitments, many corporations followed through on their speech with concrete actions, at least with respect to their boards. Third, after examining the impact of structural limitations and other roadblocks, this Article sounds a note of caution about whether and to what extent we can expect long-term changes in corporate behavior that meaningfully moves the needle on improving racial diversity and equity in the corporate sphere.
Recasting Sanctions and Anti-Money Laundering: From National Security to Unilateral Financial Regulation
Authors: Edoardo Saravalle
Published: July 2022

Practitioners and academics traditionally think of U.S. sanctions and anti-money laundering rules as bargaining tools: measures that governments use to pressure adversaries and achieve national security goals. Open-ended non-state national security threats like terrorism, climate change, and corruption cast doubt on the accuracy of this “bargaining” model. This Note offers a “regulatory” view that treats these measures not as bargaining chips but as extra-territorial regulatory tools. This approach reflects the current state of these measures, which have leveraged U.S. dollar centrality and financial institutions’ rigorous rule-following to impose economic restrictions on global threats, often permanently. In addition to describing more accurately current U.S. sanctions and anti-money laundering practice, the “regulatory” view better articulates these measures’ functioning. Specifically, applying Professor Anu Bradford’s “Brussels Effect” framework for analyzing extra-territorial regulations yields three insights. First, it offers a granular explanation of these measures’ reach by offering five elements that are predictive of their functioning: “market size,” “regulatory capacity,” “stringent standards,” “inelastic targets,” and “non-divisibility.” Second, it highlights the particularities of U.S. sanctions and anti-money laundering rules. Counter to Bradford’s prediction, U.S. measures suggest that the extra-territorial regulation of finance is possible. Third, and finally, the application of Bradford’s predictive elements to U.S. sanctions and anti-money laundering rules suggests both the continued durability of these measures and future threats to their use.
COMPARATIVE ANALYSIS ON THE TIME ALLOCATED TO PHYSICAL ACTIVITY IN THE EUROPEAN UNION
Authors:   Gorban Secondary School, Iasi, Romania, Toma Alin Cătălin
Published: July 2022

Abstract. The complexity of human life in society and the challenges of the contemporary world have as a consequence the rethinking of the role and weight of the factors that contribute to the realization of education throughout life. It is significant and specific that the need for social intervention in individual evolution is aware at the level of society, and its realization is organized, controlled in particular ways, depending on the degree and characteristics of emancipation of each society. The field of leisure is certainly one of the most dynamic areas, having lately an unprecedented rise in the way and the need to practice exercise. Free time occupies an important place in the history of mankind and has become an indispensable condition for the enrichment of human personality, it should not be "filled" with various occasional activities or simply lost the basic curricular fund, in order to ensure the unitary character of the ideas, conceptions, attitudes. Walking, practicing various sports in front of the block, cycling through the park, everything that means movement in general have been gradually replaced by all sorts of gadgets, watching TV and surfing the internet. Such activities stimulate the intellect, but ignore the body, and the long-term implications are not exactly beneficial.
METHODOLOGICAL ASPECTS OF TRAINING DIGGING TECHNIQUE IN VOLLEYBALL GAME AT THE BEGINNER LEVEL
Authors:   State University of Physical Education and Sport, Republic of Moldova, Tăbârța Vasile
Published: July 2022

Abstract. The general tendencies regarding the sports training are highlighted, as well as the particularities of the sports training of the beginner volleyball players. The study of the specialized literature, regarding the need of an adequate planning in the training of the beginner volleyball players, allowed to obtain some relevant information for the understanding the methodology of learning digging in volleyball at the level of beginners. At the same time, following the analysis of the studied literary sources, it was found that there are not enough examples of application in the process of training the methods and means of learning the technical elements and procedures of the game in order to improve the game performance of beginner volleyball players. However, in the literature there are very few literary sources that would refer to the methodology of training the technique of digging in the game of volleyball, these being elements of the defence game in volleyball.
PROFESSIONAL APPLICATION GUIDELINES OF TECHNOLOGICAL HIGH SCHOOL PHYSICAL EDUCATION: PROBLEMS AND PERSPECTIVES
Authors:   Technological High School ”Elie Radu”, Botosani, Romania, Suruciuc Bogdan
Published: July 2022

Abstract. In the present research, a study was carried out aimed at improving the process of physical education in technological high school education oriented towards the professionalapplied physical training of the future specialist in the field. Based on the traditional and current approaches in the field of theory and practice of vocational training applicable to different levels of education, as well as taking into account the psychophysical and psychosocial characteristics of pupils' personality, we identified the educational potential of physical education in the high school cycle related to the perspective of its applied professional technological guidelines. The main factors that served to determine the character of the formative pedagogical influences of the professional-applied physical education process became the basic structural-functional components in the context of psychophysical qualities, motor skills and psychosocial characteristics necessary for the specialist to achieve socio-professional objectives.
COMPLEX DEVELOPMENT OF SCHOOLGIRLS PHYSICAL QUALITIES IN THE FRAMEWORK OF VOLLEYBALL CLASSES
Authors:   ”A.S. Pushkin” Gymnasium, Cimislia, Republic of Moldova, Iasîbaș Pavel
Published: July 2022

Abstract. It was conducted a research aimed at studying the effectiveness of volleyball classes for the integrated development of the physical qualities schoolgirls, 7th grade pupils. At the beginning of the study, we recorded the low performance of the participants in the experiment within the educational content of the discipline "Physical Education" in assessing the overall physical training. In order to increase the efficiency of the process of formation of psychophysical qualities and the level of technical training on the subject of "Volleyball", we have developed and implemented a program, which provides curricular and extracurricular system of classes. Regular volleyball classes, in addition to physical education lessons, throughout the school year can have a beneficial effect on the level of physical and technical training of schoolgirls. Statistical data show a reliable complex development of all physical qualities: speed, agility, strength, endurance, flexibility, speed-strength and technical indicators.