bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Sulfur Dioxide by Broadband Cavity Enhanced Absorption Spectroscopy (BBCEAS)
Authors: Thalman Ryan , Hansen Jaron C.
Published: June 2021

Abstract. Sulfur dioxide (SO2) is an important precursor for formation of atmospheric sulfate aerosol and acid rain. We present an instrument using Broad Band Cavity Enhanced Absorption Spectroscopy (BBCEAS) for the measurement of SO2 with a minimum limit of detection of 0.6 ppbv using the spectral range 305.5–312 nm and an averaging time of 60 seconds. The instrument consists of high reflectivity mirrors (0.9984 at 310 nm) and a deep UV light source. The effective absorption path length of the instrument is 610 m in a 0.957 m base length. Published reference absorption cross-sections were used to fit and retrieve the SO2 concentrations and were compared to a diluted standard for SO2. The comparison was well correlated, R2 = 0.9985 with a correlation slope of 1.01.
The remote response of the South Asian Monsoon to reduced dust emissions and Sahara greening during the middle Holocene
Authors: Pausata Francesco S. R. , Messori Gabriele , Yun Jayoung , Jalihal Chetankumar A. , Bollasina Massimo A. , Marchitto Thomas M.
Published: June 2021

Abstract. Previous studies based on multiple paleoclimate archives suggested
a prominent intensification of the South Asian Monsoon (SAM) during the
mid-Holocene (MH, ∼6000 years before present). The main
forcing that contributed to this intensification is related to changes in
the Earth's orbital parameters. Nonetheless, other key factors likely played
important roles, including remote changes in vegetation cover and airborne
dust emission. In particular, northern Africa also experienced much wetter
conditions and a more mesic landscape than today during the MH (the
so-called African Humid Period), leading to a large decrease in airborne
dust globally. However, most modeling studies investigating the SAM changes
during the Holocene overlooked the potential impacts of the vegetation and
dust emission changes that took place over northern Africa. Here, we use a
set of simulations for the MH climate, in which vegetation over the Sahara
and reduced dust concentrations are considered. Our results show that SAM
rainfall is strongly affected by Saharan vegetation and dust concentrations,
with a large increase in particular over northwestern India and a
lengthening of the monsoon season. We propose that this remote influence is
mediated by anomalies in Indian Ocean sea surface temperatures and may have
shaped the evolution of the SAM during the termination of the African Humid
Period.
Atmospheric aerosol, gases, and meteorological parameters measured during the LAPSE-RATE campaign by the Finnish Meteorological Institute and Kansas State University
Authors: Brus David , Gustafsson Jani , Kemppinen Osku , de Boer Gijs , Hirsikko Anne
Published: June 2021

Abstract. Small unmanned aerial systems (sUASs) are becoming very popular as affordable and reliable observation platforms. The Lower Atmospheric Process Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE), conducted in the San Luis Valley (SLV) of Colorado (USA) between 14 and 20 July 2018, gathered together numerous sUASs, remote-sensing equipment, and ground-based instrumentation. Flight teams from the Finnish Meteorological Institute (FMI) and the Kansas State University (KSU) co-operated during LAPSE-RATE to measure and investigate the properties of aerosol particles and gases at the surface and in the lower atmosphere. During LAPSE-RATE the deployed instrumentation operated reliably, resulting in an observational dataset described below in detail. Our observations included aerosol particle number concentrations and size distributions, concentrations of CO2 and water vapor, and meteorological parameters. All datasets have been uploaded to the Zenodo LAPSE-RATE community archive (https://zenodo.org/communities/lapse-rate/, last access: 21 August 2020). The dataset DOIs for FMI airborne measurements and surface measurements are available here:
https://doi.org/10.5281/zenodo.3993996, Brus et al. (2020a), and those for KSU airborne measurements and surface measurements are available here: https://doi.org/10.5281/zenodo.3736772, Brus et al. (2020b).
AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods
Authors: Abbas Ather , Boithias Laurie , Pachepsky Yakov , Kim Kyunghyun , Chun Jong Ahn , Cho Kyung Hwa
Published: June 2021

Abstract. Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine learning models is a time-intensive process. In this study, we developed a python-based framework that simplifies the process of building and training machine learning-based hydrological models and automates the process of pre-processing of hydrological data and post-processing of model results. Pre-processing utilities assist in incorporating domain knowledge of hydrology in the machine learning model, such as the distribution of weather data into hydrologic response units (HRUs) based on different HRU discretization definitions. The post-processing utilities help in interpreting the model’s results from a hydrological point of view. This framework will help increase the application of machine learning-based modeling approaches in hydrological sciences.
THERMAL ANOMALY DETECTION BASED ON SALIENCY ANALYSIS FROM MULTIMODAL IMAGING SOURCES
Authors: Sledz A. , Heipke C.
Published: June 2021

Abstract. Thermal anomaly detection has an important role in remote sensing. One of the most widely used instruments for this task is a Thermal InfraRed (TIR) camera. In this work, thermal anomaly detection is formulated as a salient region detection, which is motivated by the assumption that a hot region often attracts attention of the human eye in thermal infrared images. Using TIR and optical images together, our working hypothesis is defined in the following manner: a hot region that appears as a salient region only in the TIR image and not in the optical image is a thermal anomaly. This work presents a two-step classification method for thermal anomaly detection based on an information fusion of saliency maps derived from both, TIR and optical images. Information fusion, based on the Dempster-Shafer evidence theory, is used in the first phase to find the location of regions suspected to be thermal anomalies. This classification problem is formulated as a multi-class problem and is carried out in an unsupervised manner on a pixel level. In the following phase, classification is formulated as a binary region-based problem in order to differentiate between normal temperature variations and thermal anomalies, while Random Forest (RF) is chosen as the classifier. In the seconds phase, the classification results from the previous phase are used as features along with temperature information and height details, which are obtained from a Digital Surface Model (DSM). We tested the approach using a dataset, which was collected from a UAV with TIR and optical cameras for monitoring District Heating Systems (DHS). Despite some limitations outlined in the paper, the presented innovative method to identify thermal anomalies has achieved up to 98.7 percent overall accuracy.
FAST WEAKLY SUPERVISED DETECTION OF RAILWAY-RELATED INFRASTRUCTURES IN LIDAR ACQUISITIONS
Authors: Guinard S. A. , Riant J.-P. , Michelin J.-C. , Costa D’Aguiar S.
Published: June 2021

Abstract. Railroad environments are peculiar, as they combine dense urban areas, along with rural parts. They also display a very specific spatial organization. In order to monitor a railway network a at country scale, LiDAR sensors can be equipped on a running train, performing a full acquisition of the network. Then most processing steps are manually done. In this paper, we propose to improve performances and production flow by creating a classification of the acquired data. However, there exists no public benchmark, and little work on LiDAR data classification in railroad environments. Thus, we propose a weakly supervised method for the pointwise classification of such data. We show that our method can be improved by using the l0-cut pursuit algorithm and regularize the noisy pointwise classification on the produced segmentation. As production is envisaged in our context, we designed our implementation such that it is computationally efficient. We evaluate our results against a manual classification, and show that our method can reach a FScore of 0.96 with just a few samples of each class.
CONTRIBUTION INDEX OF LAND COVER AND LAND SURFACE TEMPERATURE CHANGES IN UPPER HILL NAIROBI, KENYA
Authors: Mwangi P. W. , Karanja F. N. , Kamau P. K. , Letema S. C.
Published: June 2021

Abstract. Urban heat island is the difference in thermal temperature between rural and urban areas. The urbanization process alters the material type with impervious surfaces being absorbers of incoming radiation during the day and emitting it at night. The research involved the use of time-series satellite imagery from Sentinel, Landsat, ASTER and MODIS for the period 1986, 1995, 2000, 2005, 2011, 2015 and 2017 over the Upper Hill, Nairobi. Morning, afternoon and night land surface temperatures (LST) were calculated for each of these years and analyzed together with the land cover. The mean albedo was calculated to determine the relationship between each land cover and mean LST. The contribution index was calculated to determine whether a land contributed positively or negatively to the mean LST in Upper Hill. Results indicated that built-up land cover had increased from 1986 to 2017 by 0.86% per annum while forest land cover had decreased by 0.99% per annum. Sparse grassland had higher albedo and LST values of 0.81 and 27.9 °C respectively, whereas water had lower albedo and LST values of 0.09 and 25.1 °C. Water had the lowest mean LST during the day but highest mean LST in the afternoon and night in each of the years due to its high thermal capacity. Bare ground tends to have a higher contribution index compared to other land covers, while forest land cover has a negative contribution index, indicating the impact land cover types have on LST and the urban heat island effect.
USE OF LANDSAT-8 OLI IMAGERY AND LOCAL INDIGENOUS KNOWLEDGE FOR EELGRASS MAPPING IN EEYOU ISTCHEE
Authors: Clyne K. , Leblon B. , LaRocque A. , Costa M. , Leblanc M. , Rabbitskin E. , Dunn M.
Published: June 2021

Abstract. The eastern coastline of James Bay (Eeyou Istchee) is known to be home to beds of subarctic eelgrass (Zostera marina L.). These eelgrass beds provide valuable habitat and food source for coastal and marine animals and contribute valuable ecosystem services such as stabilization of the shoreline all along the coast. Despite reports from Cree communities that eelgrass bed health has declined, limited research has been performed to assess and map the spatial distribution of eelgrass within the bay. This study aims to address that issue by evaluating the capability of Landsat-8 Operational Land Imager (OLI) imagery to establish a baseline map of eelgrass distribution in 2019 in the relatively turbid waters of Eeyou Istchee. Three images acquired in September 2019 were merged and classified using Random Forests into the following classes: Eelgrass, Turbid Water, Highly Turbid Water, and Optically Deep Water. The resulting classified image was validated against 108 ground truth data that were obtained from both the eelgrass health and Hydro-Quebec research team. The resulting overall accuracy was 78.7%, indicating the potential of the Random Forests classifier to estimate baseline eelgrass coverage in James Bay using Landsat-8 imagery. This project is part of a Cree driven project, the Coastal Habitat Comprehensive Research Program (CHCRP). The CHCRP aims to combine Cree's traditional knowledge with Western science to better understand environmental changes in the coastal ecosystems and ecosystem services of eastern James Bay. The study is funded by a MITACS grant sponsored by Niskamoon Corporation, an indigenous non-profit organization.
DEEP BAYESIAN ACTIVE LEARNING IN HIGH-RESOLUTION SATELLITE IMAGES FOR CHANGE DETECTION IN URBAN AND SUBURBAN AREAS
Authors: Ragia L. , Panagiotopoulou A.
Published: June 2021

Abstract. In this work the problem of change detection in high-resolution (HR) satellite images is addressed. The active learning (AL) algorithm Bayesian active learning disagreement (BALD) is applied on WorldView images of urban and suburban areas in the island of Crete, Greece. Comparisons with results from random sampling (RS) on AL are carried out. Several cases of selecting different amounts of images in the training set of a convolutional neural network (CNN) are experimented. The results show that the validation accuracy of classification as changed or unchanged of the BALD algorithm is superior to that of the RS algorithm. Indeed, the BALD algorithm achieves zero test error against the test errors 34.6% and 38.5% of the RS algorithm. Actually, as the amount of training images increases, the accuracy also increases. Interesting experiments could be executed in the future utilizing estimators from robust statistics inside the AL acquisition function framework. Up to now in the literature no other work has appeared to present deep AL on WorldView images for change detection.
A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA
Authors: Zarei A. , Hasanlou M. , Mahdianpari M.
Published: June 2021

Abstract. Soil salinity, a significant environmental indicator, is considered one of the leading causes of land degradation, especially in arid and semi-arid regions. In many cases, this major threat leads to loss of arable land, reduces crop productivity, groundwater resources loss, increases economic costs for soil management, and ultimately increases the probability of soil erosion. Monitoring soil salinity distribution and degree of salinity and mapping the electrical conductivity (EC) using remote sensing techniques are crucial for land use management. Salt-effected soil is a predominant phenomenon in the Eshtehard Salt Lake located in Alborz, Iran. In this study, the potential of Sentinel-2 imagery was investigated for mapping and monitoring soil salinity. According to the satellite's pass, different salt properties were measured for 197 soil samples in the field data study. Therefore several spectral features, such as satellite band reflectance, salinity indices, and vegetation indices, were extracted from Sentinel-2 imagery. To build an optimum machine learning regression model for soil salinity estimation, three different regression models, including Gradient Boost Machine (GBM), Extreme Gradient Boost (XGBoost), and Random Forest (RF), were used. The XGBoostmethod outperformed GBM and RF with the coefficient of determination (R2) more than 76%, Root Mean Square Error (RMSE) about 0.84 dS m−1, and Normalized Root Mean Square Error (NRMSE) about 0.33 dS m−1. The results demonstrated that the integration of remote sensing data, field data, and using an appropriate machine learning model could provide high-precision salinity maps to monitor soil salinity as an environmental problem.
WATER QUALITY MONITORING OVER FINGER LAKES REGION USING SENTINEL-2 IMAGERY ON GOOGLE EARTH ENGINE CLOUD COMPUTING PLATFORM
Authors: Khan R. M. , Salehi B. , Mahdianpari M. , Mohammadimanesh F.
Published: June 2021

Abstract. Surface water quality is degrading continuously both due to natural and anthropogenic causes. There are several indicators of water quality, among which sediment loading is mainly determined by turbidity. Normalized Difference Water Index (NDWI) is one indirect measure of sediments present in water. This study focuses on detecting and monitoring sediments through NDWI over the Finger Lakes region, New York. Time series analysis is performed using Sentinel 2 imagery on the Google Earth Engine (GEE) platform. Finger Lakes region holds high socio-economic value because of tourism, water-based recreation, industry, and agriculture sector. The deteriorating water quality within the Finger Lake region has been reported based on ground sampling techniques. This study takes advantage of a cloud computing platform and medium resolution atmospherically corrected satellite imagery to detect and analyse water quality through sediment detection. In addition, precipitation data is used to understand the underlying cause of sediment increase. The results demonstrate the amount of sediments is greater in the early spring and summer months compared to other seasons. This can be due to the agricultural runoff from the nearing areas as a result of high precipitation. The results confirm the necessity for monitoring the quality of these lakes and understanding the underlying causes, which are beneficial for all the stakeholders to devise appropriate policies and strategies for timely preservation of the water quality.
DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES
Authors: Saha S. , Kondmann L. , Zhu X. X.
Published: June 2021

Abstract. Unsupervised deep transfer-learning based change detection (CD) methods require pre-trained feature extractor that can be used to extract semantic features from the target bi-temporal scene. However, it is difficult to obtain such feature extractors for hyperspectral images. Moreover, it is not trivial to reuse the models trained with the multispectral images for the hyperspectral images due to the significant difference in number of spectral bands. While hyperspectral images show large number of spectral bands, they generally show much less spatial complexity, thus reducing the requirement of large receptive fields of convolution filters. Recent works in the computer vision have shown that even untrained networks can yield remarkable result in different tasks like super-resolution and surface reconstruction. Motivated by this, we make a bold proposition that untrained deep model, initialized with some weight initialization strategy can be used to extract useful semantic features from bi-temporal hyperspectral images. Thus, we couple an untrained network with Deep Change Vector Analysis (DCVA), a popular method for unsupervised CD, to propose an unsupervised CD method for hyperspectral images. We conduct experiments on two hyperspectral CD data sets, and the results demonstrate advantages of the proposed unsupervised method over other competitors.
POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION
Authors: Nikoohemat S. , Godoy P. , Valkhoff N. , Wouters - van Leeuwen M. , Voûte R. , Lehtola V. V.
Published: June 2021

Abstract. Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an indoor mobile mapping system. To show the prominence of this idea, we run social distancing and evacuation simulations on the reconstructed models. The simulations are run with multiple agents using a vision-based pedestrian model and A*-based path finding algorithm. The limitations of this approach are discussed. The video of the simulation is shared with the audience.Link to the video: https://youtu.be/r2D3IxXt7Ls
PRACTICES, PITFALLS AND GUIDELINES IN VISUALISING LAGRANGIAN OCEAN ANALYSES
Authors: Kehl C. , Fischer R. P. B. , van Sebille E.
Published: June 2021

Abstract. The Lagrangian analysis of particulate matter, biota and drifters, which are dispersed by turbulent fluid currents, is a cornerstone of oceanographic studies, covering diverse study objectives. The results of Lagrangian simulations and observations is predominantly visualised by means of easy-access plotting interfaces and simple presentation techniques. We analysed over 50 publications from the years 2010–2020 with respect to their visual design to deduce common visualisation practices in the domain. Individual figures are analysed towards adherence to visualisation best-practices, algebraic visualisation guidelines and the IPCC visual style guide. In this article, we present the resulting best-practices and common pitfalls in the design of Lagrangian ocean visualisations. Based on this visual study, we highlight that raising awareness of established visual guidelines may have a higher impact on improving the visual quality of publications in oceanography than the vigorous development of more general-purpose visualisation tools.
REMOTE SENSING ANALYSIS OF THE CHANGES IN VEGETATED COASTLAND: THE CASE OF SOUTHEASTERN EUROPE
Authors: Laze K.
Published: June 2021

Abstract. The coastlands are changing in the Southeastern European countries. Yet, temporal and spatial changes in natural-vegetated land, urban-vegetated land and agriculture-vegetated land use on coastal surfaces, respectively, are missing. The aim is to understand the changes in vegetated land on the coastal surface by retrieving spatial data from remote sensing using a new approach by reducing errors in data processed and by collecting data using surveys to understand the driving (abiotic and biotic) factors of vegetated land changes and land dynamics at regional level. These spatial and survey data are then to be employed at spatially explicit analysis to define driving factors, plausibly explaining spatial and temporal changes of vegetated land on coastal surfaces in the Southeastern European study region including Albania, Bosnia and Herzegovina, Croatia, and Montenegro and Slovenia for the last fifty years. The expected main result is a new methodological approach of remote sensing spatial data analysis by reducing data errors and by identifying driving factors of the changes in vegetated land. The findings may serve to understand the effects of land management and land use on the changes in vegetated land-use on coastal surfaces, and to potentially uncover the least disturbed vegetated land areas by human intervention for vegetation conservation.
A FRAMEWORK TO MANAGE UNCERTAINTY IN THE COMPUTATION OF WASTE COLLECTION ROUTES AFTER A FLOOD
Authors: Le Guilcher A. , Martel S. , Brasebin M. , Méneroux Y.
Published: June 2021

Abstract. In this paper, we describe a framework to find a good quality waste collection tour after a flood, without having to solve a complicated optimization problem from scratch in limited time. We model the computation of a waste collection tour as a capacitated routing problem, on the vertices or on the edges of a graph, with uncertain waste quantities and uncertain road availability. Multiple models have been conceived to manage uncertainty in routing problems, and we build on the ideas of discretizing the uncertain parameters and computing master solutions that can be adapted to propose an original method to compute efficient solutions. We first introduce our model for the progressive removal of the uncertainty, then outline our method to compute solutions: our method first considers a low-dimensional set of random variables that govern the behaviour of the problem parameters, discretizes these variables and computes a solution for each discrete point before the flood, and then uses these solutions as a basis to build operational solutions when there are enough information about the parameters of the routing problem. We then give computational tools to implement this method. We give a framework to compute the basis of solutions in an efficient way, by computing all the solutions simultaneously and sharing information (that can lead to good quality solutions) between the different problems based on how close their parameters are, and we also describe how real solutions can be derived from this basis. Our main contributions are our model for the progressive removal of uncertainty, our multi-step method to compute efficient solutions, and our intrusive framework to compute solutions on the discrete grid of parameters.
Hydrological Drought across Peninsular Malaysia: Implication of drought index
Authors: Hasan Hasrul Hazman , Mohd Razali Siti Fatin , Muhammad Nur Shazwani , Ahmad Asmadi
Published: June 2021

Abstract. Drought is considered a damaging natural disaster for economic, societal, and ecological impacts. The challenge of drought is to determine the drought characteristics, frequency, duration and severity, vital for drought's impact control and mitigation strategies. This paper adopts the spatial pattern of Streamflow Drought Index (SDI) for three, six, nine and twelve months for the tropical climate at Peninsular Malaysia. About 40 years of daily streamflow data based on 42 hydrological discharge stations were analyzed to obtain these indices. The area under drought stress during the study period at different time scales is stable and approximately 24 % of the total area. The years 1997–1999, 2002 and 2016–2018 mark the most critical drought years, with more than 48 % of the entire basin area under hydrological drought. According to the spatial evaluation of drought characteristics, short-term droughts are frequent in most regions, with relatively high severity and frequency in Northeast and Southeast of Peninsular Malaysia, where the maximum frequency reached 35.7 % and 42.8 %, respectively. This outcome emphasizes the importance and necessity of the basin's drought action strategies. Early detection of a probable hydrological drought can improve in the implementation of drought prevention or mitigation strategies.
Brief communication: Evaluation of the snow cover detection in the Copernicus High Resolution Snow & Ice Monitoring Service
Authors: Barrou Dumont Zacharie , Gascoin Simon , Hagolle Olivier , Ablain Michaël , Jugier Rémi , Salgues Germain , Marti Florence , Dupuis Aurore , Dumont Marie , Morin Samuel
Published: June 2021

Abstract. The High Resolution Snow & Ice Monitoring Service was launched in 2020 to provide near real time, pan-European snow and ice information at 20 m resolution from Sentinel-2 observations. Here we present an evaluation of the snow detection using a database of snow depth observations from 1764 stations across Europe over the hydrological year 2016–2017. We find a good agreement between both datasets with an accuracy of 94 % (proportion of correct classifications) and kappa of 0.80. More accurate (+6 % kappa) retrievals are obtained by excluding low quality pixels at the cost of a reduced coverage (−13 % data).
On the measurement of stability parameter over complex mountainous terrain
Authors: Cantero Elena , Sanz Javier , Borbón Fernando , Paredes Daniel , García Almudena
Published: June 2021

Abstract. Atmospheric stability has a signiﬁcant effect on wind shear and turbulence intensity, and these variables, in turn, have a direct impact on wind power production and loads on wind turbines. It is therefore important to know how to characterize atmospheric stability in order to make better energy yield estimation in a wind farm. Based on research grade meteorological mast at Alaiz (CENER's Test Site in Navarre, Spain) named MP5, this work compares and evaluates different instrument set-ups and methodologies for stability characterization. The Obukhov parameter ζ = z/L, which can be measured locally with the use of a sonic anemometer, and bulk Richardson number have been studied. The methods are examined considering their theoretical background, implementation complexity, instrumentation requirements, and practical use in connection with wind energy applications. Bulk Richardson number, which is based on one height wind speed measurement and two temperature measurements, is sometimes calculated using values from any two temperature levels without taking into account that one of the measurements would be representative of surface conditions. With the data available in MP5, it will be shown how this approximation is not correct to obtain an adequate stability characterization.
Theoretical and Spectroscopic Studies of SN Donor Thiosemicarbazone Ligand and Its Pt(II) Complex
Authors: Ali Amna Qasem , Hosouna Boubaker , Ahmida Khadija Abdusslam , Alshreef Abdulasalam Amhamed Mohamed
Published: June 2021

Sulphur-nitrogen(SN) donor thiosemicarbazone ligand [(Z)-N-ethyl-2-(5-methyl-2-oxoindolin-3-ylidene)hydrazinecarbothioamide] and its Pt(II) complex were synthesized by condensation method. The compounds were structurally characterized by elemental analysis CHNS, FT-IR, and NMR analysis. The elemental analyses data for the compounds were in good agreement with the theoretical values.  The melting point of the complex was higher than the ligand, as expected. The FT-IR spectral data reflect a bidentate bonding of thiosemicarbazone ligand to Pt(II) ion through thioketo sulfur and azomethine nitrogen. The docking results (theoretical results) of these compounds show that the binding energy between DNA and Pt(II) complex was found to be less than that of the Schiff base ligand (L) in the sense that it has higher stability at various stages and angles. The strength of docking between DNA and Pt(II) complex was also found to be that stronger than the Schiff base ligand (L).
واقع السياسات التعليمية بالجامعات الليبية ودورها في تحقيق مجتمع المعرفة (جامعة المرقب نموذجاً)
Authors: فره محي الدين , الرويمي دياب , جليد اشرف
Published: June 2021

هدف الدراسة: هدفت الدراسة الى توضيح وتحليل واقع السياسات التعليمية الحالية بالجامعات الليبية، والتعرف على دورها في تحقيق مجتمع المعرفة لمواكبة مستجدات العصر من خلال مساهمتها في إنتاج المعرفة وتوليدها، ومساهمتها في نشر المعرفة، ومساهمتها في تطبيق المعرفة وتوظيفها، كما حاولت الكشف على الفروق بين أعضاء هيئة التدريس حول تقييمهم لدور جامعة المرقب في تحقيق مجتمع المعرفة وفقاً لمتغير الجنس والتخصص والدرجة العلمية، ثم اقتراح بعض الحلول المناسبة لتطوير السياسات التعليمية بالجامعات الليبية للتكيف مع التقدم  المذهل في المعلوماتية والتقنية لتحقيق مجتمع المعرفة .منهجية الدراسة: استخدمت الدراسة المنهج الوصفي التحليلي ، بالاعتماد على الاستبيان كأداة لجمع بيانات الدراسة من مجتمعها المتمثل في أعضاء هيئة التدريس بجامعة المرقب ، والذي تم تمثيله بعينة بلغت (300) عضواً ، تم اختيارها بالطريقة العشوائية. أهم نتائج الدراسة : أسفرت الدراسة عن مجموعة من النتائج أبرزها: أن تحليل واقع السياسات التعليمية بالجامعات الليبية تنبئ عن قصور السياسات التعليمية في تلبية الاحتياجات الاقتصادية والاجتماعية والأخلاقية التي يجب أن تكون. كما أشارت النتائج أن السياسات التعليمية للجامعة تبعا لتقديرات أعضاء هيئة التدريس كانت ضعيفة في محاور الدراسة الثلاث (توليد و انتاج المعرفة - نشر المعرفة - تطبيق و توظيف المعرفة)، كما اشارت النتائج  إلى عدم وجود فروق ذات دلالة إحصائية بين استجابات أفراد عينة الدراسة لتقييم دور السياسات التعليمية للجامعة في إنتاج المعرفة وتوليدها، ونشر المعرفة، وتطبيقها و توظيفها، تعزى لمتغير الجنس التخصص والدرجة العلمية. وفي ضوء النتائج يوصي الباحثون بتحديث السياسات واللوائح المنظمة للجامعات الليبية تجمع بين التجديد والواقعية بما يتوافق مع مستجدات العصر الحالي وزيادة الانفاق على الجامعات وخاصة المخصصات المقررة للبحث العلمي وتوجيهه لحل مشكلات المجتمع.
لبنية التحتية ودورها في التحول للتعليم الالكتروني من وجهة نظر أعضاء هيئة التدريس بكلية هندسة الموارد الطبيعية بئر الغنم جامعة الزاوية
Authors: منصور فتحي أبوالقاسم سالم , عبدالصادق مصطفي الصادق الغضبان عبدالصادق , خلف الله الهادي رحومه خليفة
Published: June 2021

تهدف الدراسة إلى التعرف على البنية التحتية ودورها في التحول للتعليم الالكتروني من وجهة نظر أعضاء هيئة التدريس بكلية هندسة الموارد الطبيعية / بئر الغنم بجامعة الزاوية، والتأكيد على ضرورة توفر البنية التحتية  وتحديثها، والسعي للنهوض بها بما يتوافق مع متطلبات العصر، والتي على ضوئها تتحقق عملية التحول واستخدام التعليم الالكتروني، وقد تم استخدام المنهج الوصفي التحليلي من خلال توزيع الاستبانه على أفراد العينة، وقد تكون مجتمع الدراسة من جميع أعضاء هيئة التدريس بالكلية والبالغ عددهم (35) عضو باستخدام أسلوب المسح الشامل وتم توزيع الاستبانة على جميع أفراد العينة واسترجع منها (33) وعند فحصها تبين وجود استبانة (1) غير صالحة للتحليل، وذلك لعدم استكمال بياناتها، وبذلك أصبح عدد الاستبانة التي تم استخدامها في التحليل (32) صالحة للتحليل، وتم استخدام برنامج التحليل الإحصائي (SPSS v22)، وتوصلت الدراسة إلى نتائج عدة أهمها: وجود علاقة طردية (موجبة) ذات دلالة معنوية لمدى البنية التحتية وعلاقتها بالتحول للتعليم الالكتروني، حيث أنه كلما توفرت البنية التحتية للكلية زادت إمكانية التحول للتعليم الالكتروني، وانتهت الدراسة بعدة توصيات أهمها: العمل على تطوير البنية التحتية للتحول للتعليم الالكتروني من حيث توفير (ملحقات القاعات الدراسية، المعامل الالكترونية، المعامل الافتراضية) وتوفير أجهزة حاسوب حديثة موصلة بالإنترنيت بشكل دائم.
Civil Registration Awareness, Compliance, Purpose, and Challenges among Municipal Residents in the Philippines
Authors: Celeste Jeremy G. , Caelian Merlita V.
Published: June 2021

Civil registration aims to secure permanent records of people. In the Philippines, Republic Act No. 3753 or the Civil Registry Law mandates that all vital events should be registered. This study aims to assess the civil registration awareness, compliance, purpose, and challenges of municipal residents in Negros Occidental, Philippines. A descriptive-comparative and correlational study was used through a researcher-made questionnaire among 376 residents of villages identified using stratified random sampling. The study revealed that the level of awareness of the residents on civil registration is high. At the same time, the extent of compliance was high on birth and marriage but low on death registration. It also revealed a significant difference between awareness and compliance on civil registration when respondents are grouped according to sex and educational attainment, but no significant differences when grouped as to age, income, and distance to the office of the local civil registrar.  There is a significant relationship between the level of awareness and extent of compliance in the civil registration of residents. Among the challenges for nonregistration or delayed registration of vital events are lack of valid identification card and high cost of transportation, among others.
Metamodernism and Vaporwave: A Study of Web 2.0 Aesthetic Culture
Authors: Morrissey Nicholas
Published: June 2021

With the advent of Web 2.0, new forms of cultural and aesthetic texts, including memes and user generated content (UGC), have become increasingly popular worldwide as streaming and social media services have become more ubiquitous. In order to acknowledge the relevance and importance of these texts in academia and art, this paper conducts a three-part analysis of Vaporwave—a unique multimedia style that originated within Web 2.0—through the lens of a new cultural philosophy known as metamodernism. Relying upon a breadth of cultural theory and first-hand observations, this paper questions the extent to which Vaporwave is interested in metamodernist constructs and asks whether or not the genre can be classed as a metamodernist text, noting the dichotomy and extrapolation of nostalgia promoted by the genre and the unique instrumentality it offers to its consumers both visually and sonically. This paper ultimately theorizes that online culture will continue to play an important role in cultural production, aesthetic mediation, and even personal expression as media becomes more integrated into our systems of meaning.
“Oppressed by Sensual Delight”: On a Lesbian Relationship with Rebecca Clarke’s Viola Sonata
Authors: Imans Logan
Published: June 2021

This paper explores Rebecca Clarke’s Viola Sonata (1919) through the experience of a lesbian relationship—a relationship that extends from the Sonata as experienced by a violist and scholar, to Clarke herself as a performer and composer. Inspired by the work of Suzanne Cusick, I examine the musical elements of the Viola Sonata that invite and enable a lesbian relationship in the music. Such elements include existence outside the phallic economy, porous ego boundaries, and a fluid positioning within the power/pleasure/intimacy triad. A central theme of Clarke’s compositional style is embodiment, which furthers the potential for a lesbian experience of the Viola Sonata through “body-aware” and performer-centric techniques. The poetic inscription for the Sonata, lines from Alfred de Musset’s “La nuit de mai,” serves to further construct a musical narrative of embodiment through the relationship of Poet and Muse. Without claiming that Clarke was a lesbian, this paper sheds light on the Viola Sonata by considering the relationships between performer, composer, and listener in a lesbian musical analysis.
Completing Mahler’s Piano Quartet: A Study of Unfinished Music, Ethics, and Authenticities
Authors: Spinelli Isabella
Published: June 2021

Performers and scholars have argued for generations over what should be done with musical works that have been left incomplete by their composers. Though many attempts have been made to bring such works to completion, some scholars feel that these fragments should remain untouched because the pieces in question were left incomplete during the composer’s own career. With this debate in mind, I undertook a study and completion of Gustav Mahler’s Piano Quartet in A minor, a piece for which Mahler composed a complete first movement, Nicht zu schnell, and twenty-four bars of a second movement, Scherzo, when he was a student at the Vienna Conservatory. I began by analyzing Nicht zu schnell in order to understand Mahler’s treatment of motives, form, and harmony. In addition, I studied contemporary works by Schumann and Brahms. Based on my analyses, I then composed a completion of the Scherzo in a style that is, in my opinion, idiomatic of Mahler. After a performance of my completion, seventy percent of the audience responded with five on a scale of zero to six when asked in a survey how closely my Scherzo aligned with Nicht zu schnell. One hundred percent of the listeners ethically approved of the task of completing unfinished music. Adding to the discourse on musical completion, this paper addresses the musicological debate surrounding unfinished music, discusses my process of completing Mahler’s quartet, and assesses public reactions to the ethical issues, such as hubris, that often arise when an alternate composer completes an unfinished work.
Estética y filosofía: El poder de lo bello en la perspectica de Christoph Menke
Authors: Galfione María Verónica
Published: June 2021

El presente estudio se encuentra orientado a repensar las potencialidades críticas de la experiencia estética. A tales efecto, reconstruye la concepción estética de Christoph Menke, determinando el modo en que esta articula, por una lado, una determinada reconstrucción de la modernidad estética con un posicionamiento actual acerca del hecho estético, y por el otro una defensa radical de la negatividad estética con el resguardo de las instancias sociales de carácter normativo. En este sentido, el planteo de Menke supone tanto una intervención en la tradición filosófica como en el debate actual y puede ser entendido, a su vez, como un intento de mediación entre la filosofía francesa contemporánea y el pensamiento alemán del siglo XX. No obstante, a la hora de posicionarse frente a los debates estéticos contemporáneos, Menke parece dejar de lado algunos de los logros principales de su reconstrucción histórico, mientras que en su intento por tornar compatible normatividad y negatividad estética convierte a la praxis artística en un modelo de praxis social lograda. Estos problemas se analizan hacia el final del artículo.
Rodolfo Gutiérrez y Andrea Mosquera (eds.). Devenires de un acontecimiento. Mayo del 68 cincuenta años después. Madrid: Cenaltes Ediciones, 2020.
Authors: Ocaña Andrea Hormaechea
Published: June 2021

Reseña de la obra de Rodolfo Gutiérrez y Andrea Mosquera (eds.). Devenires de un acontecimiento. Mayo del 68 cincuenta años después. Madrid: Cenaltes Ediciones, 2020.
Orden Jiménez, Rafael V. (coord..), Humanismo Republicano Iberoamericano. Un debate. Ambrosio Velasco Gómez; José Luis Villacañas Berlanga, Madrid, Biblioteca Nueva, 2019, pp. 127.
Authors: Mora José Luis
Published: June 2021

Reseña de la obra de Orden Jiménez, Rafael V. (coord..), Humanismo Republicano Iberoamericano. Un debate. Ambrosio Velasco Gómez; José Luis Villacañas Berlanga, Madrid, Biblioteca Nueva, 2019, pp. 127.
Teológiai érvelések, hitoktatás és misztérium- ábrázolás a 18. századi csíksomlyói ferences színpadon (1.)
Authors: Medgyesy S. Norbert
Published: June 2021

In the grammar school of Csíksomlyó (Șumuleu Ciuc), a Franciscan site of Marian pilgrimage in Transylvania, 104 school plays were produced by the pupils between 1721 and 1786. These were predominantly mysteries in the vernacular: Good-Friday Passions, Judgement-Day Dramas and the odd play for Corpus Christi Day or the Assumption. This annual tradition of education as well as pastoral care preserved the characteristics of mediaeval West European mysteries for the longest time and in the farthest geographical location. This paper addresses the question of how these mysteries presented theological or dogmatic facts as staged Poor Man’s Bibles, that is, theatrical catechesis. The first part examines the 106 types of New Testament scenes and their 71 Old Testament antitypes. The following Roman Catholic dogmas were staged in Csíksomlyó: the Trinity; the Creation of the World; the Fall of the Devils; the Fall of Humanity; the Incarnation of the Christ (the so-called Heavenly Trial, Proces de Paradis); the Immaculate Conception, Virginity, Assumption, and Intercession of the Virgin Mary (Maria Advocata); the doctrine of the Eucharist. The theological teachings were cast in the form of human and allegorical figures and presented by the grammar-school students to a numerous and predominantly illiterate audience on a three-level stage, in mother-tongue performances of illustrative verse, in a style adequately sacred as well as easy to comprehend.
A jogi oktatás kezdetei Egerben: a Foglarianum
Authors: Linczenbold Levente
Published: June 2021

Anyone who examines the history of the city of Eger will inevitably meet the so-called “university idea” which caught fire in the 18th century but only became a reality in the 21st century. Eger not only plays an important role in the political history of the country, but also represents lasting values in its cultural history. One of this, doomed by the past, is its activity on law education which flourished between the 18th and 20th century, however, due to social and political changes, it suffered decline and eventually ceased to exist. The modernization aspirations of the Habsburg Empire, the tensions between national and imperial intentions, the social and political crises, the turning points towards the end of the 19th century, made possible a form of training that, despite political debates, supplied the legal and administrative task required by the state of that era to function. In this study, we explore the essential elements of 209 years, especially the early times, and place them in the historical process. The particular motive of the topic selection was the fact that the intention of the founder has been finally realized: Eger’s institution of higher education became a university and will hopefully receive the Catholic denotation one day.
Az eucharisztikus kenyér szimbolizmusa
Authors: Dolhai Lajos
Published: June 2021

La liturgia vuol insegnarci in tre diversi modi. Attraverso la parola di Dio che è un elemento costitutivo della liturgia. Possiamo riconoscere la dottrina della Chiesa nelle preghiere (euchologia) perché „lex orandi lex credendi”. Anche i segni e simboli sacramentali ed i riti della liturgia sono importanti nella catechesi sacramentale. Per questa ragione il Sacrosanctum Concilium ci raccomanda di comprendere i sacramenti „per mezzo dei riti e delle preghiere” (SC 48). Ciò significa che la comprensione delle parole e dei gesti della liturgia è legata ad una catechesi che partendo dal senso antropologico faccia comprendere il valore simbolico-salvifico che rivestono in rapporto ad eventi e parole della storia di Israele e della vita di Cristo. In questo saggio vedremo che il simbolismo del pane eucaristico ha una rilevanza teologica. Il pane eucaristico come „pane spezzato” è un nutrimento e segno dell’unità dei cristiani.
Két elfelejtett vers Márton Áronról
Authors: Marton József
Published: June 2021

Károly Rass (1872-1962), a Roman Catholic priest serving in Turda acquired two poems about bishop Áron Márton by the doctor-poet Oszkár Bárd (1893-1942). These poems are published here.
A „Katolikus Akció” néven társult szervezkedés Marosvásárhelyen és Ágotha Endre papi életútja
Authors: Csatlós Mária
Published: June 2021

With the available archival resources and through exploring the life, work and political actions of Endre Ágotha, the dean and parish priest of Nyárádselye I trace the unfolding and failing of the schismatic catholic peace movement legitimated in Marosvásárhely in the period 1950-1956. The state backed “Catholic Action” did not succeed in severing the Catholic Church in Romania from Rome by settling the “pending cases” between the church and the state and only a small portion of the clergy joined the movement, yet it has made significant moral damages by dividing the believers and the clergy. The Holy See condemned the movement and it’s key figure Endre Ágotha has brought upon himself the harshest punishment of the Catholic Church: excommunicates vitandus. He received absolution only on his deathbed.
Mit jelent a „gender” fogalom? Használhatjuk-e az egyházban, vagy féljünk tőle?
Authors: Veres Janka-Eszter
Published: June 2021

In our paper we would to discuss about the difference between the meaning of the words gender and sex, in order to try and understand why is it important to distinguish correctly when to use gender specific expressions. We discuss the etymology of the word and, on the other hand, we try to find the most useful translations and expressions which will help us integrate the word gender in Hungarian texts. It’s important for us to find the proper meaning of the used word (in this case, we discuss the word gender) in order to understand the texts we read in a proper manner. The misunderstanding of the word gender caused a lot of stereotypes, even oppression, when it came to talk about women and their role in society and in Church, so we must be aware to read and understand the meaning of a specific text using our best knowledge and trying to do our best to avoid stereotypization.
Особенности технологии и некоторые свойства гетероэпитаксиальных структур Si-Ge/Si
Authors: Абдурахманов Б.М. , Ашуров Х.Б. , Кучканов Ш.К. , Максимов С.Е. , Ниматов С.Ж.
Published: June 2021

Экспериментально обнаружено появление термо-эдс на нагреваемых р-n гетероструктурах, содержащих на поверхности кремниевых подложек осажденные из газовой фазы плёнки твёрдого раствора Si-Ge, сильно легированные титаном. Появление термо-эдс объяснено тепловольтаическим эффектом, то есть генерацией носителей заряда за счёт поглощения субзонных фотонов с участием глубоких энергетических уровней, обусловленных как структурными дефектами Si-Ge плёнок, так и примесью титана. Показано, что при нагреве р-n структур до 800 К величина эдс составляет несколько мВ, а дополнительная локальная засветка поверхности приводит к увеличению тока в 15 раз.