bluuebunny/crossref_metadata_2025 huggingface dataset:
FOREST COVER MAPPING AND PINUS SPECIES CLASSIFICATION USING VERY HIGH-RESOLUTION SATELLITE IMAGES AND RANDOM FOREST
Authors: Alonso L. , Picos J. , Armesto J.
Published: June 2021

Abstract. Advances in remote sensing technologies are generating new perspectives concerning the role of and methods used for National Forestry Inventories (NFIs). The increase in computation capabilities over the last several decades and the development of new statistical techniques have allowed for the automation of forest resource map generation through image analysis techniques and machine learning algorithms. The availability of large-scale data and the high temporal resolution that satellite platforms provide mean that it is possible to obtain updated information about forest resources at the stand level, thus increasing the quality of the spatial information. However, photointerpretation of satellite and aerial images is still the most common way that remote sensing information is used for NFIs or forest management purposes. This study describes a methodology that automatically maps the main forest covers in Galicia (Eucalyptus spp., conifers and broadleaves) using Worldview-2 and the random forest classifier. Furthermore, the method also evaluates the separate mapping of the three most abundant Pinus tree species in Galicia (Pinus pinaster, Pinus radiata and Pinus sylvestris). According to the results, Worldview-2 multispectral images allow for the efficient differentiation between the main forest classes that are present in Galicia with a very high degree of accuracy (91%) and ample spatial detail. Pinus species can also be efficiently differentiated (83%).
ESTIMATION OF OPTIMAL CROWN COVERAGE AND CANOPY SHAPE FOR SHADOW ESTIMATION ON TROPICAL MOIST BROADLEAF FOREST
Authors: Fujiwara T. , Takeuchi W.
Published: June 2021

Abstract. Shadow fraction is essential for improving the estimation of gross primary production, but it is difficult to be observed by satellite due to the diurnal variations. Therefore, it is necessary to estimate the 3D model with physical parameters by simulating virtual forest reflectance. In this study, we aim to estimate the optimal combination of canopy shape and Crown Coverage (CC) through simulating virtual forests reflectance. First, satellite-derived Tree Height (TH) and CC for virtual forests were compared with the ones obtained by Canopy Hight Model (CHM). Second, virtual forests with different CC and canopy shapes were created, and the reflectance and shadow fraction were simulated. The canopy shape used were cylinder, ellipsoid, half-ellipsoid, and inverted half-ellipsoid. Finally, the simulated reflectance and shadow fraction were validated with Sentinel-2 reflectance and shadow fraction from voxel model. Our results show that the mean TH is 15 ± 2 m, and the CC was increased from 10% to 60% in 10% intervals. TH and CC obtained from the satellite had the Root Mean Square Error (RMSE) of 5m and 40%. Ellipsoid with 20% CC shows the lowest RMSE and the smallest discrepancy for shadow fractions at the same sun position. However, other combinations were more accurate in estimating mean daily shadow fraction. This would be caused by only one image adopted in validation, which could be improved by using multi-season images in the future.
A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA
Authors: Tamiminia H. , Salehi B. , Mahdianpari M. , Beier C. M. , Johnson L. , Phoenix D. B.
Published: June 2021

Abstract. Forest is one of the most crucial Earth’s resources. Forest above-ground biomass (AGB) mapping has been research endeavors for a long time in many applications since it provides valuable information for carbon cycle monitoring, deforestation, and forest degradation monitoring. A methodology to rapidly and accurately estimate AGB is essential for forest monitoring purposes. Thus, the main objective of this paper was to investigate the performance of decision tree-based models to predict AGB at a site in Huntington Wild Forest (HWF) in Essex County, NY using continuous forest inventory (CFI) plots. The results of decision tree, random forest, and deep forest regression models were compared using light detection and ranging (LiDAR), Landsat 5 TM, and a combination of them. The results illustrated the importance of integration of Landsat 5 TM and LiDAR data, which benefits from both vertical forest structure and spectral information reflected by canopy cover. In addition, the deep forest model with a root mean square error (RMSE) of 51.63 Mg/ha and R-squared (R2) of 0.45 outperformed other regression tree-based models, regardless of the dataset.
DEEP LEARNING FOR VESSEL DETECTION AND IDENTIFICATION FROM SPACEBORNE OPTICAL IMAGERY
Authors: Matasci G. , Plante J. , Kasa K. , Mousavi P. , Stewart A. , Macdonald A. , Webster A. , Busler J.
Published: June 2021

Abstract. We present a deep learning-based vessel detection and (re-)identification approach from spaceborne optical images. We introduce these two components as part of a maritime surveillance from space pipeline and present experimental results on challenging real-world maritime datasets derived from WorldView imagery. First, we developed a vessel detection model based on RetinaNet achieving a performance of 0.795 F1-score on a challenging multi-scale dataset. We then collected a large-scale dataset for vessel identification by applying the detection model on 200+ optical images, detecting the vessels therein and assigning them an identity via an Automatic Identification System association framework. A vessel re-identification model based on Twin neural networks has then been trained on this dataset featuring 2500+ unique vessels with multiple repeated occurrences across different acquisitions. The model allows to naturally establish similarities between vessel images. It returns a relevant ranking of candidate vessels from a database when provided an input image for a specific vessel the user might be interested in, with top-1 and top-10 accuracies of 38.7% and 76.5%, respectively. This study demonstrates the potential offered by the latest advances in deep learning and computer vision when applied to optical remote sensing imagery in a maritime context, opening new opportunities for automated vessel monitoring and tracking capabilities from space.
AN UNSUPERVISED METHOD BASED ON FIRE INDEX ENHANCEMENT AND GRNN FOR AUTOMATED BURNED AREA MAPPING FROM SINGLE-PERIOD REMOTE SENSING IMAGERY
Authors: Zhang Q. , Xiao Y.
Published: June 2021

Abstract. In the current situation of frequent forest fires, the study of forest burned area mapping is important. However, there is still room for improvement in the accuracy of existing forest burning area mapping methods. Therefore, in this paper, an unsupervised method based on fire index enhancement and GRNN (General Regression Neural Network) is proposed for automated forest burned area mapping from single-date post-fire remote sensing imagery. The proposed method first uses adaptive spatial context information to enhance the generated fire index to improve its ability to indicate the burned areas. Then the uncertainty analysis is performed on the enhanced fire index to extract reliable burned samples and non-burned samples for subsequent classifier training. Finally, the improved GRNN model considering the spatial correlation of pixels is used as a classifier to binarize the enhanced fire index to generate the final burned area map. Based on two commonly used fire indexes, NBR (Normalized Burn Ratio) and BAI (Burned Area Index), this paper conducts burned area mapping experiments on a post-fire image of a forest area in Inner Mongolia, China to test the effectiveness of the proposed method, and two commonly used threshold methods (Otsu and Kmeans clustering) are also used to conduct burned area mapping based on threshold segmentation of fire index for comparison experiments. The experimental results prove the effectiveness and superiority of the proposed method. The proposed method is unsupervised and automated, so it has high application value and potential under the current situation of frequent forest fires.
MONITORING OF TIME-SERIES SOIL MOISTURE BASED ON ADVANCED DINSAR
Authors: Yang C. H. , Müterthies A.
Published: June 2021

Abstract. Understanding soil moisture is essential for earth and environmental sciences especially in geology, hydrology, and meteorology. Remote sensing techniques are widely applied to large-scale monitoring tasks. Among them, DInSAR using multi-temporal spaceborne SAR images is able to derive surface movement up to mm level over an area. One of the factors inducing the movement is variation of soil moisture. Based on this, a semi-empirical approach can be tailored to retrieve the underground water content. However, the derived movement is often contaminated with other irrelevant noise. Besides, a time-series analysis could not be simply implemented without additional fusion and calibration. In this paper, we propose a novel modelling based on advanced DInSAR to solve these problems. The irrelevant noise will be removed as parts of the modelled elements in the DInSAR processing. A forward model on a scene is built by regressing the measured soil moisture on the DInSAR-derived movement series. We tested our approach using Sentinel-1 images in the grasslands of organic soil within State of Brandenburg, Germany. The Pearson correlation coefficients between the measured soil moistures and the DInSAR-derived movements are up to 0.91. The mean square errors of the predicted soil moistures compared with the measurements reach 3.03 % (volumetric water content) at best. Our study shows a promising new concept to develop a global monitoring of soil moisture in the future.
TOWARD A MULTI-SOURCE REMOTE SENSING WETLAND INVENTORY OF THE USA: PRELIMINARY RESULTS ON WETLAND INVENTORY OF MINNESOTA
Authors: Adeli S. , Salehi B. , Mahidanpari M. , Quackenbush L. J.
Published: June 2021

Abstract. Wetlands are highly productive ecosystems that offer unique services on regional and global scales including nutrient assimilation, carbon reduction, geochemical cycling, and water storage. In recent years, however, they are being lost or exploited as croplands due to natural or man-made stressors (1.4 percent in 5 years within the USA). This decline in the extent of wetlands began legislative activity at a national scale that mandate the regulate use of wetlands. As such, the need for cost-effective, robust, and semi-automated techniques for wetland preservation is ever-increasing in the current era. In this study, we developed a workflow for wetland inventorying on a state-wide scale using optimal incorporation of dual-polarimetry Sentinel-1, multi-spectral Sentinel-2 and dual polarimetry ALOS-PALSAR with the Random Forest (RF) classifier in Google Earth Engine (GEE). A total of 45 features from a stack of multi-season/multi-year SAR and Optical imagery (included more than 5000 imagery) was extracted over Minnesota state, USA. We followed the Cowardin classification scheme for clustering the field data. The classification was performed in two levels in 5 different ecozones that cover the Minnesota state. Depending on the availability field data for each ecozone overall accuracies changed from 77% to 85%. The variable importance analysis suggests that Sentinel-2 spectral features are dominant in terms of their capability for wetland delineation. Sentinel-1 backscattering coefficient was also superior among other SAR features. Ultimately, the results of this study shall illustrate the applicability of free of charge earth observation data coupled with the advanced machine learning techniques that are available in GEE for better restoration and management of wetlands.
DETECTION OF THE SPATIAL VARIATIONS OF LOCAL POPULATIONS FROM THE VIEWPOINT OF URBAN STRUCTURE ANALYSIS
Authors: Kumagai K. , Kameda Y.
Published: June 2021

Abstract. In Japan, population decline is one of the important issues that need to be tackled in socioeconomic fields. We apply an analysis method composed of a spatial autocorrelation analysis to the local population data generated through the 1995 and 2015 national census, and try to detect their spatial dynamics in this study. Through making experimental verification of the distance parameter of the spatial autocorrelation analysis, we newly define 2 indices with respect to the size and area where lower local populations are distributed in urbanized areas. It is shown that the local population dynamics are described by the difference of the 2 indices among 1995 and 2015. The expansion of areas where local population decline occurred seems to be detected by our proposed approach.
CLASSIFICATION AND IDENTIFICATION OF ARTIFICIAL LAKES BASED ON NATIONAL GEOGRAPHIC-CONDITIONS DATA
Authors: Zhou Z. , Jing S. , Gong Y. , Zhao H.
Published: June 2021

Abstract. In recent years, the issue of violations or over-exploitation in artificial lake projects have attracted gradual concern. In the initial stage, in order to determine whether there are violations or over-exploitation in the artificial lake project, it is necessary to accurately identify the status of artificial lakes. Because of the relative lack of water resources along the Yellow River, issues such as the contradiction between supply and demand as well as the protection of ecological environment have become increasingly prominent. Besides, the situation of development of artificial lakes along the Yellow River has become serious, increasing the pressure of utilizing water resources along the Yellow River. Therefore, the identification of status of artificial lake is of great significance in ecological supervision of the Yellow River.Under this context, this paper takes the Yellow River as the research area. Based on the land cover data in the multi-temporal geographic national conditions, using spatial analysis, automatic identification and manual differentiation etc., to develop a rapid classification system of artificial lakes to classify the artificial lakes along the Yellow River, tracking and analyzing its annual changes, and finally establishing an artificial lake classification database and an artificial lake change database. Realizing the effective identification and supervision of changes in the artificial lake. Through experiments and analysis of existing data, this paper summarizes a set of indicators for determining the characteristics of artificial lakes, and proposes a set of effective artificial lake identification approaches. It provides an important basis for the follow-up supervision of artificial lake, and also establishes a basic framework for identifying other surface geographic-conditions, which has important theoretical and practical significance in the application of national geographic-conditions data.
CREATING 3D INDOOR FIRST RESPONDER SITUATION AWARENESS IN REAL-TIME THROUGH A HEAD-MOUNTED AR DEVICE
Authors: Smit B.-P. , Voûte R. , Verbree E.
Published: June 2021

Abstract. Emergency operations are a key example for the need of digital twins in the way it is complex, urgent and uncertain. First, the process is complex, as many organizations are involved. Second, it is urgent, as most damage is done in the first moments of an emergency. Third, it is uncertain, as situational conditions tend to change quickly.For outdoor operations, spatial information systems help in creating an overview of the situation, for example by displaying positions of first responder units involved with the incident. However, spatial data of indoor environments is scarce. Static information of the building, such as floor plans, are often outdated or non-existent. Dynamic operational data such as positions of first responders within the building are only available in a very limited way as well, and often without visual representation.To create situation awareness of indoor first responder operation environments, this paper successfully proposes a proof of concept with two objectives. First, the proof of concept will collect spatial environment data in the form of mapping and tracking data by using a Microsoft HoloLens. This means the geometry of the building will be collected, together with traversed routes within the building. Second, the data will be streamed and displayed to a remote first responder coordinator in real-time to create a common operational picture. This enables the coordinator to quickly build situation awareness of the operation environment, enabling the coordinator to improve the quality of decisions, thereby improving first responder performance. The proof of concept showed that situation awareness on all three levels increases with the real-time (live) availability (visualisations) of 3D indoor environments. This concept needs to be tested further on usability and performance.
AN EXPERIMENTAL ANALYSIS OF SPATIAL INDEXING ALGORITHMS FOR REAL TIME SAFETY CRITICAL MAP APPLICATION
Authors: Çetin F. , Kulekci M. O.
Published: June 2021

Abstract. This paper presents a study that compares the three space partitioning and spatial indexing techniques, KD Tree, Quad KD Tree, and PR Tree. KD Tree is a data structure proposed by Bentley (Bentley and Friedman, 1979) that aims to cluster objects according to their spatial location. Quad KD Tree is a data structure proposed by Berezcky (Bereczky et al., 2014) that aims to partition objects using heuristic methods. Unlike Bereczky’s partitioning technique, a new partitioning technique is presented based on dividing objects according to space-driven, in the context of this study. PR Tree is a data structure proposed by Arge (Arge et al., 2008) that is an asymptotically optimal R-Tree variant, enables data-driven segmentation. This study mainly aimed to search and render big spatial data in real-time safety-critical avionics navigation map application. Such a real-time system needs to efficiently reach the required records inside a specific boundary. Performing range query during the runtime (such as finding the closest neighbors) is extremely important in performance. The most crucial purpose of these data structures is to reduce the number of comparisons to solve the range searching problem. With this study, the algorithms’ data structures are created and indexed, and worst-case analyses are made to cover the whole area to measure the range search performance. Also, these techniques’ performance is benchmarked according to elapsed time and memory usage. As a result of these experimental studies, Quad KD Tree outperformed in range search analysis over the other techniques, especially when the data set is massive and consists of different geometry types.
EFFECTS OF GEOSPATIAL DATA SOURCES ON THE IDENTIFICATION AND CHARACTERIZATION OF BURNT AREAS IN PORTUGAL
Authors: Fonte C. C. , Patriarca J. , Duarte D.
Published: June 2021

Abstract. The work presented in this paper compares the burnt areas in continental Portugal in 2017 and 2018 mapped by three initiatives, namely the Portuguese Institute of Nature and Forests Conservation (ICNF), the Corine Land Cover (CLC) inventory of the Copernicus programme and the European Forest Fire Information System (EFFIS). Then, the Land Use Land Cover (LULC) classes affected by the 2017 burnt areas mapped by ICNF are analysed considering CLC 2018 and the 2018 LULC map produced by the Portuguese National Mapping Agency (Direção Geral do Território) – “Carta de Ocupação do Solo” (COS 2018). To enable a comparison between the classes of both LULC products, a nomenclature was selected and both CLC 2018 and COS 2018 were mapped into the chosen classes. The comparison of the burnt area’s extent showed that there are large differences in both area and levels of detail between the analysed data sources. The results regarding the LULC classes affected by the 2017 fires mapped by ICNF show large differences in terms of burnt area in each class as well as the proportion of the burnt areas associated to the classes. This analysis shows that very different results may be reached if different products are used, and therefore a large level of uncertainty is associated with the conclusions achieved with these products.
REGION ADAPTIVE ADJUSTMENT STRATEGY BASED ON INFORMATION ENTROPY FOR REMOTE SENSING IMAGE SEGMENTATION
Authors: Li X. L. , Chen J. S.
Published: June 2021

Abstract. For the difficulty of boundary-fitting in region-based algorithms, a region adaptive adjustment strategy based on information entropy is proposed for remote sensing image segmentation. Considering the characteristics of imperfect blocks that cover two homogeneous regions, a selection factor constructed by the spectral coefficient of variation and the information entropy of prior probability representing neighborhood constraint is designed to find the imperfect blocks. Then, the selected imperfect block is split into four equal parts, and new blocks enjoy the same membership as the original block. The model parameters are updated based on the current tessellation. If the fuzzy clustering objective function decrease, the split operation is certainly accepted, otherwise, it will be accepted with a certain probability to avoid local optimum. Finally, the experiments on simulated and multi-spectral remote sensing images show that the proposed strategy can accurately locate the imperfect blocks and effectively fit the boundary of homogeneous regions.
ON THE VISUALIZATION OF POSITIONAL PRECISION
Authors: Meidow J.
Published: June 2021

Abstract. Tasks such as image registration or pose estimation require the determination of transformations based on uncertain observations. Hence, the position of any geometric object transformed according to this estimate is also uncertain, at least in terms of precision. Often the knowledge of uncertainty changes the judgment of individuals. Thus, the visualization of this information is crucial whenever a human decision-maker is involved. In the absence of error-free reference data, we consider the estimated precision as the probably most important quantity characterizing the uncertainty. This contribution focuses on the visualization of positional precision as provided by estimated covariance matrices. Basic design principles such as coloration and contouring in 2D and 3D are presented and discussed in the context of practical applications, e.g., the superimposition of distance information as seen nowadays in sports broadcasts. As a novel contribution, we propose quartic plane curves to represent the confidence regions of the loci of conic sections.
AN IMPROVED TEMPERATURE SPATIAL INTERPOLATION METHOD FOR SPACEBORNE LIDAR ATMOSPHERIC CORRECTION
Authors: Zhou M. , Li K. , Pan M. , Chen J. , Li C. , Chen L.
Published: June 2021

Abstract. As one of the most important meteorological elements, temperature is an indispensable meteorological parameter for the atmospheric correction of spaceborne LiDAR ranging. Given a limited number of surface meteorological observation stations, the temperature values for all region of LiDAR observation need to be interpolated using appropriate spatial interpolation methods. In this paper, based on the monthly surface observation values in individual years (1981–2010) of Sichuan province observation stations, we firstly analyze the effects of three common interpolation methods, including inverse distance weighting (IDW), ordinary kriging (OK) and gradient plus inverse distance squared (GIDS). To solve the problem of low interpolation accuracy in severely undulating terrain area, an improved gradient distance inverse square method based on the adiabatic lapse rate (GIDS-ALR) is proposed. The experimental results show that the GIDS-ALR has an obvious improvement in the effect of severely undulating terrain, where the absolute error has been improved by more than 43% in average. Additionally, the temperature-interpolated MAE is reduced by more than 30%. The effectiveness and applicability of the proposed method is verified in this paper.
55 YEARS IN ISPRS – THE AMBASSADOR OF OUR PROFESSION
Authors: Fritz L. W.
Published: June 2021

Abstract. Professor Dr. Mult. Gottfried Konecny is a primary force for guiding and leading ISPRS affiliations, membership, and structure. Throughout the past 55 years he has shared his vast knowledge and experience with the entire ISPRS community making ISPRS the foremost voice for our profession of the Photogrammetry, Remote Sensing and Spatial Information sciences and technologies. This is a testimonial devoted to thank and honor him for his steadfast dedication to ISPRS and its Members. Through his capable leadership and diplomatic skills he has brought leading individuals and organizations from governmental agencies, national and international societies, academia and the private sector together to share and promote the common interests of our profession. As such he deserves to be honored as the Ambassador of our Profession.
دور الإرشاد الزراعي في ترشيد استخدام مياه الري في منطقة الحنية -الجبل الأخضر-ليبيا
Authors: أمراجع ماجدة رزق , فركاش محمد أرضيوه
Published: June 2021

يستهدف هذا البحث بصفة أساسية التعرف على دور الإرشاد الزراعي في ترشيد استخدام مياه الري تحت نظامي الري التقليدي والمطور، وللوصول للهدف العام يتطلب تحقيق الأهداف الفرعية التالية: التعرف على مستوى (معارف وممارسات واتجاهات) لزراع الري التقليدي والمطور في مجال ترشيد استخدام مياه الري، والتعرف على أهم العوامل المؤثرة على معارف وممارسات واتجاهات زراع الري التقليدي والمطور للمبحوثين، تحديد أهم مصادر المعلومات التي يستقي منها الزراع المبحوثين معلوماتهم عن الري، التعرف على أهم مشكلات الري التي تواجه زراع الري التقليدي والري المطور. أجري هذا البحث في الجبل الأخضر بمنطقة الحنية وتم جمع البيانات بالمقابلة الشخصية باستخدام استمارة استبيان أعدت لهذا الغرض على إجمالي المزارعين البالغ عددهم (210) مزارع، ولقد اقتصرت الأساليب الإحصائية المستخدمة على (النسبة المئوية، التكرارات، والمتوسط الحسابي، والانحراف المعياري، اختبارt، ومعامل الارتباط البسيط لبيرسون SPSS). وتتركز أهم النتائج فيما يلي: 1-أظهرت نتائج البحث انخفاض درجة معرفة الزراع المبحوثين على مستوى العام بطرق ترشيد استخدام مياه الري حيث بلغت نسبة ذوي المعرفة المنخفضة، والمتوسط حوالي (3%)، (65%) من أجمالي المبحوثين، في حين بلغت نسبة ذوي درجة المعرفة المرتفعة حوالي (32) منهم. 2-أشارت نتائج البحثية إلى أن ما يقرب من ثلاثة أرباع أجمالي العينة الزراع المبحوثين، يتسمون بدرجة ممارسة منخفضة ومتوسطة لطرق ترشيد استخدام مياه الري وبلغت نسبتهم حوالي (7%)، (77%) على الترتيب. 3-أوضحت نتائج البحث إيجابية اتجاه الزراع المبحوثين نحو طرق ترشيد استخدام مياه الري، حيث بلغت نسبة المبحوثين ذوي الاتجاه المتوسط والمرتفع (48%)، (46%) من أجمالي المبحوثين على الترتيب.
الذكاء التنافسي كمدخل لتحسين الأداء الاستراتيجي (دراسة تطبيقية بشركة ليبيانا للهاتف المحمول مكتب سبها)
Authors: عمران حسن عبدالسلام علي , ابوالقاسم محمد محمد الساكت , الهوني فتحية محمد عيسى
Published: June 2021

سعت هذه الدراسة إلى الكشف عن العلاقة بين الذكاء التنافسي  والأداء الاستراتيجي في شركة ليبيانا للهاتف المحمول سبها ، حيث تمثلت مشكلة الدراسة في التساؤل التالي إلى أي مدى يمكن أن يكون هناك دور للذكاء التنافســــــــي في تحسيــــــن مستوى الأداء الاستراتيجي  ؟ ، وثم اختيار عينة ميسرة تكونت من ( 30 ) موظف بالشركة ، ولتحقيق أهداف الدراسة ثم اعتماد المنهج الوصفي التحليلي ، وانطلقت الدراسة من فرضية مفادها توجد علاقة ذات دلالة إحصائية عند مستوى دلالة ( 0.05 ≤ α ) بين الذكاء التنافسي و تحسين الأداء الاستراتيجي ، وثم بناء الاستبانة التي تكونت من (36) فقرة موزعة على متغيرين الأول يتعلق بأبعاد الذكاء التنافسي والذي تضمن ( 16 ) فقرة ، والثاني تضمن ( 20 ) فقرة فيما يتعلق بتحسين الأداء الاستراتيجي، وبعد أجراء الأساليب الإحصائية الخاصة بصدق وثبات الاستبانة تم تطبيقها على أفراد العينة وثم إخضاع البيانات المتحصل عليها إلى جملة من التحليلات الإحصائية وكان أهم الاستنتاجات التي توصلت أليها الدراسة ، أن كافة أبعاد الذكاء التنافسي ترتبط ارتباطا طرديا وموجب بالأداء الاستراتيجي ، وكانت أهم التوصيات ضرورة عمل أدارة الشركة على وضع الآليات المناسبة للاستفادة من الذكاء التنافسي بما يسهم في تحسين الأداء الاستراتيجي للشركة محل الدراسة.
" حوكمة الشركات وعلاقتها بجودة القوائم المالية في المؤسسات الاقتصادية الليبية"دراسة تحليلية من وجهة نظر الأكاديميين والمهنيين بالمنطقة الجنوبية
Authors: أحمد إبراهيم المهدي , الصالح خالد الكيلاني , حميدي يوسف ممدو
Published: June 2021

هدفت هذه الدراسة إلى الوقوف على أهمية تطبيق مبادئ حوكمة الشركات في المؤسسات الاقتصادية الليبية بشكل سليم والذي سيؤدي إلى تحقيق الغرض المطلوب منها, وهو جودة القوائم المالية وتحسين في الأداء المالي, وأن جودة القوائم المالية تساهم في القدرة على توفير الجهد والوقت وسرعة الأداء في الوقت المناسب. وفي ضوء طبيعة الدراسة والأهداف التي تسعى الدراسة الى تحقيقها، تم استخدام المنهج الوصفي التحليلي في اجراء الدراسة معتمدين في ذلك على أسلوب الاستبانة الذي تم إعدادها خصيصاً لهذا الغرض, وتم توزيعها على مجتمع الدراسة  البالغ عددها 60 المتمثل في الأكاديميين في جامعة سبها والمحاسبين والمراجعين, في  والمؤسسات العامة في منطقة مرزق وبعد تحليل البيانات واختبار الفرضيات, تم التوصل إلى مجموعة من النتائج من اهمها: أن تطبيق مبادئ الحوكمة الشركات   يساهم بشكل كبير في تحقيق جودة القوائم المالية.
The Music Behind the Mask: Rossini’s Uncanny Salon
Authors: Cohen Simon
Published: June 2021

Despite receiving scant attention from scholars and performers, Rossini’s Péchés de vieillesse (Sins of Old Age), written between 1857 and 1868 for his private salon, have a unique and expressive stylistic language. In these works, the composer gives musical voice to the uncanny discourses that emerged around the idea of his “creative death.” This paper establishes how Rossini’s return to composition functioned as a musical “exhumation,” with his compositional activities functioning as a site for broader discourses about disease, aging, and death in nineteenth-century France. Close readings of visual depictions of Rossini by Eugène Delacroix and Antoine Etex shed light on changing attitudes toward the composer, which coincided with broader aesthetic shifts taking place at the time. The tensions engendered by Rossini’s precarious status as both living and dead, and his nostalgic relationship to the past, constitute a kind of doubleness that can be heard in his late compositions. Bringing together cultural history and musical analysis, I show that the privacy of Rossini’s salon gave rise to music with unique signifying potential that has not yet been duly acknowledged.
Stefania Zanardi, Umanesimo e umanesimi. Saggio introduttivo alla storiografia di Eugenio Garin, Milano, Franco Angeli, 2019,
Authors: Ramis Barceló Rafael
Published: June 2021

Reseña d ela obra de Stefania Zanardi, Umanesimo e umanesimi. Saggio introduttivo alla storiografia di Eugenio Garin, Milano, Franco Angeli, 2019, 129 pp.
María Díez Yáñez, Aristóteles en el siglo XV: una ética para príncipes. Liberalidad, magnificencia y magnanimidad, Oxford, Peter Lang, 2020, 404 pp.
Authors: Ramis Barceló Rafael
Published: June 2021

Reseña de la obra de María Díez Yáñez, Aristóteles en el siglo XV: una ética para príncipes. Liberalidad, magnificencia y magnanimidad, Oxford, Peter Lang, 2020, 404 pp.
Parellada, Ricardo. 'El orgullo ¿vicio o virtud?' Madrid: Síntesis, 2019
Authors: Gorriti Bontigui Mikel
Published: June 2021

Reseña de la obra de Parellada, Ricardo. El orgullo ¿vicio o virtud? Madrid: Síntesis, 2019.
Alegre Zahonero, Luis y Serrano García, Clara, Legitimidad. Los cimientos del Estado social, democrático y de derecho, Madrid, Akal, 2020.
Authors: Díez Rodríguez Aitana
Published: June 2021

Reseña de la obra de Alegre Zahonero, Luis y Serrano García, Clara, Legitimidad. Los cimientos del Estado social, democrático y de derecho, Madrid, Akal, 2020.
A propedeutikus év tapasztalatai a világegyházban
Authors: Törő András
Published: June 2021

The Optatam Totius had already outlined a sort of blueprint for the preparatory year of studies (propaedeuticum), which was implemented in several countries. In 1992, the post-synodal apostolic exhortation entitled “Pastores dabo vobis” also presented this training as an opportunity to enrich the priestly formation. These trainings can be divided into three groups: autonomous, integrated in the seminary curriculum, or bound to the pastoral care (of students). At the international level, the preparatory years are organized either by Episcopal Conferences or by dioceses. This study presents the experiences acquired from the practice of propaedeuticum in different countries.
Расчет распределения плотности электронных состояний в хвосте зоны проводимости аморфных полупроводников
Authors: Абдулазизов Б.Т. , Икрамов Р.Г. , Нуриддинова М.А. , Муминов Х.А.
Published: June 2021

Сопоставлены аналитическое выражение и экспериментальная кривая спектра экспоненциального поглощения аморфного Se0,5S0,5 селено-серного соединения. Параметры в аналитическом выражении спектра экспоненциального поглощения, определяющие крутизну хвостов разрешенных зон, найдены путем подгонки к экспериментальной кривой. Используя приближение Девиса-Мотта по формуле Кубо-Гринвуда, записанного для спектра экспоненциального поглощения, получена новая формула, определяющая плотность электронных состояний в хвосте зоны проводимости. Используя эти формулы и спектр экспоненциального поглощения, определенный из эксперимента, показана возможность определения плотности электронных состояний в хвосте зоны проводимости.
Pemanfaatan Surat Keterangan Asal Indonesia Dalam Peningkatan Investasi Berorientasi Ekspor Australia Ke Indonesia
Authors: Sidabutar Victor Tulus Pangapoi
Published: June 2021

Indonesia has signed a trade agreement with Australia and hoped that this agreement can benefit both parties to face global free trade. Indonesia is not Australia's main trading partner and Indonesia's exports to Australia tend to decline but Indonesia can take advantage of the Australian export market which has trade agreements with Indonesia to indirectly increase Indonesian exports by utilizing Indonesia’s Certificate of Origin (CoO) as a partner for Australian export product producers by using Third Country Invoicing and back-to-back preferential CoO
Analisis dan Strategi Untuk Mendukung Prospek Perdagangan Rumput Laut Indonesia
Authors: Juarsa Rahmadini Payla
Published: June 2021

The Indonesian seaweed trade is still dominated by dry seaweed, even though Indonesia's seaweed still has high prospects for development. The purpose of this study is to analyze and provide strategies for supporting the prospects of Indonesia's seaweed trade. In achieving this goal, we use qualitative desk study methods and SWOT analysis. The results showed that Indonesia's seaweed trade still shows the opportunity to increase high added value by prioritizing the trade of semi-finished products rather than dried seaweed. This is supported by the strength of Indonesian seaweed which has a large potential for cultivation, a high number of laborer, high consumption of domestic and foreign seaweed derivative products and the availability of sufficient technology and expertise. Those strengths used to seize high import market opportunities. The existence of a national seaweed development road map also helps create a better prospect for seaweed trade.
Posisi Perdagangan Karet Indonesia Dalam Menghadapi Pasar Global
Authors: Tajulfitri Sang Saniaka
Published: June 2021

Rubber is one of Indonesia's largest commodities after palm oil, and 85% of its production is carried out by small farmers. This plant has strategic value and is a plant that contributes to foreign exchange for the nation. At present Indonesia's Trade Specialization Index (ISP) is a rubber exporting country, based on the calculation of the average ISP for the 2014-2018 period, with the value of Indonesian ISPs at 0.54. This shows that Indonesian rubber commodities are in the maturation stage in world trade or have very strong competitiveness.
Analisis Strategi Pusat Pendidikan dan Pelatihan Perdagangan Menuju Corporate University
Authors: Rachman Nadya Megawati
Published: June 2021

In order to increase the capacity and quality of human resources at the Ministry of Trade, the Center for Trade and Education has an important role in supporting the achievement of the vision and mission and the application of organizational cultural values of the Ministry of Trade. Innovations in the learning process must be implemented in the face of the demands of globalization and the times. The purpose of this study is  to analyze the Strategic Center of Trade Training and Education towards Corporate University. The analytical method used in this study is to use IFE-EFE matrix analysis, IE matrix, SWOT analysis and Qualitative Strategic Planning (QSP) matrix. Based on the results of the analysis conducted by the Trade Training Center, it is expected to implement the S-O strategy, namely strengthening the implementation of learning organizations with the Visionary Leadership approach as the main priority strategy generated from the QSP matrix analysis.
Keywords : Corporate University, IFE-EFE matrix, IE matrix, SWOT, QSPM
Dampak Gaya Kepemimpinan Transformasional Terhadap Kepuasan Kerja Pada ASN Milenial di Kementerian Perdagangan
Authors: Utomo Agus Setiyo , Nainggolan Andrika Pesparani Nikerija
Published: June 2021

The study has aimed at identifying the impact between transformational leadership and job satisfaction of Milenial Generation civil servant, the population of the study consisted of registered Milinneal Generation civil servant located in Ministry of Trade. There have been 59 surveys mailed out to registered Milenial Generation civil servant. 59 surveys have been returned with an 100 % response rate. Regarding transformational leadership, the survey was adapted from the Multifactor Leadership Questionnaire (MLQ). The Minnesota Satisfaction Questionnaire (MSQ) developed by Weiss (1967) was adapted to measure job satisfaction. The present study has shown a statistically there is no relationship existing between the four dimensions of transformational leadership and the twentieth dimensions of job satisfaction. This study shows a positive and statistically significant relationship between the four dimensions of transformational leadership and twenty dimensions of job satisfaction.
Keywords: Transformational leadership, job satisfaction, Millinneal Generation civil servant, Ministry of Trade.
Das neue Bundesgesetz über elektronische Medien
Authors: Sidler Oliver
Published: June 2021

Das Radio-und Fernsehgesetz soll durch einBundesgesetz über elektronische Medien abgelöst werden. Der vom Bundesrat in die Vernehmlassung geschickte Entwurf sieht eine ausführliche Regelung des Service Public-Auftrags der SRG vor. Neu soll eine Kommission für die Erteilung der SRG-Konzession sowie für den Abschluss von Leistungsvereinbarungen und die Erteilung von Förderbeträgen zuständig sein. Verzichtet wird auf technologie-abhängige Regulierung (Unterscheidungnach drahtlos-terrestrischer Verbreitung und Verbreitung überLeitungen). Finanziell unterstützt werden neu elektronische Medien, welche nicht wie bisher nur linear im Sinne von Radio und Fernsehen, sondern auch auf Abruf angeboten werden. Der Geltungsbereich des neuen Gesetzes hat gegenüber dem Radio und Fernsehgesetz einige Veränderungen erfahren.
Fungsi Keluarga dalam Persepektif Alkitab sebagai Basis Pendidikan Agama Kristen
Authors: Sunarko Andreas Sese
Published: June 2021

The family is an institution of God Himself (Genesis 2:18-25) aside from the church (Matthew 16:18) obtaining a glorious mandate through God's family to want the birth of Divine offspring (Malachi 2:15), which is a God-fearing and living in its prescribed streets. To achieve the above goal, a Christian Religious  Education of faith became something very important. But unfortunately there are Christian families who are unaware of this and are shifting this glorious mandate to the church through sunday school teachers or transferring it to school (through Christian religious teachers). The writer assesses this distraction on the one hand as a parent's misunderstanding of the mandate or on the other hand because of the parents' inability to handle it. The method the writer uses is a descriptive qualitative with a library approach. The writer tapped relevant resources from the bible, books and journals. Starting with a general understanding and juridis about the family, the Biblical basis of the family and its calling, the family's responsibility for Christian Religious Education and the danger of displacing the function of Christisn Religious Education on the third hand and the writer will eventually conclude that it is important to restore the family's function as a base of Christian Religious Education as well as to accord with scriptural values to be so effective in reaching the goal of bearing Divine offspring.
Foucault y el derecho. Apuntes para una cartografía posible
Authors:   Facultad de Derecho Universidad Nacional Autónoma de México, Bravo-Salcido Armando
Published: June 2021

El presente trabajo realiza un bosquejo de algunas líneas de reflexión que pueden permitir un diálogo entre la obra de Foucault y en pensamiento jurídico contemporáneo, particularmente, la Crítica Jurídica Latinoamérica, esto a través de la crítica de los procesos de subjetivación de las sociedades contemporáneas; la incompletud de cualquier concepción de justicia, y la crítica a las pretensiones universalistas de cualquier forma de racionalidad.
Moving the Needle: Cultivating Systemic Change in Juvenile Services
Authors: Rhodes Kellie , Rhodes Aisland , Bear Wayne , Brendtro Larry
Published: June 2021

Approximately 1.7 million delinquency cases are disposed in juvenile courts annually (Puzzanchera, Adams, & Sickmund, 2011). Of these youth, tens of thousands experience confinement in the US (Sawyer, 2019), while hundreds of thousands experience probation or are sentenced to community based programs (Harp, Muhlhausen, & Hockenberry, 2019). These youth are placed in the care of programs overseen by directors and clinicians. A survey of facility directors and clinicians from member agencies of the National Partnership for Juvenile Services (NPJS) Behavioral Health Clinical Services (BHCS) committee identified three primary concerns practitioners face in caring for these youth; 1) low resources to recruit and retain quality staff, 2) training that is often not a match for, and does not equip staff to effectively manage the complex needs of acute youth, and 3) the perspective of direct care as an unskilled entry-level position with limited impact on youth’s rehabilitation. This article seeks to address these issues and seeks to highlight potential best practices to re-solve for those obstacles within juvenile services.
Analysis of Impact of Aral Sea Catastrophe on Anomaly Climate Variables and Hydrological Processes
Authors: Berdimbetov T. , Nietullaeva S. , Yegizbayeva A.
Published: June 2021

Since 1960, water level began to decline considerably due to anthropogenic impact of the Aral Sea (AS), and it is continued to this day, which has led to dramatic changes in the climate around the AS, including ambient temperatures and sharp increases in evapotranspiration. Although, it isn't possible to see normal trend in this precipitation. Time series analysis of the FTI (First Time Interval 1901-1960) and STI (Second Time Interval, 1960-2015), highlighting climate change around the AS, based on Global Climate Data, suggests that there is a significant negative difference between precipitation and evapotranspiration during the drying of the AS. It is possible to see the logical compatibility of the air temperature and difference between precipitation and evapotranspiration observed around the AS, i.e. the temperature fluctuation trend is positive and contrary to the difference between precipitation and evapotranspiration negative trend, which means that the annual hydrological budget was reduced according to the time scale. In this article, determining the AS as the central point, we analyze the changes in the thermal and hydrological processes observed on the AS, as well as the impact to the environment of anomalous climate change observed on and around the sea like the drying out of the AS.
Geohazards Inventory in Central Asia Using the Geohazard Mapping Module of the FAO Collect Earth and Earth Map Tools
Authors: Nazarkulov K
Published: June 2021

Different national agencies in Central Asia assess and conduct long-term observations of dangerous geomorphological processes (geohazards) in their countries. However, these surveys are being conducted predominantly on those sites where direct threats and risks to the population or to critical infrastructure are observed. Neither field data acquisition nor regular remote sensing based observations cover the entire territory of Central Asia countries. With the recent developments in Earth Observation and cloud technologies, these observations and monitoring easily cover entire countries or regions. In this case study, the authors demonstrate the benefit of using the FAO Collect Earth and Earth Map tools for monitoring of geohazards in the Uzgen region of Kyrgyzstan.It is argued that by integrating the knowledge, skills and experience of local experts with the latest developments in EO and cloud computing, geohazards mapping will be carried out with high accuracy and without big financial investment. This study aims to outline good practice for data management that will ensure the required quality of information produced within this study. The successful result of this case study will be a starting point for broad use of this approach for observation and monitoring of geohazards, and for developing a Geohazards Inventory in Kyrgyz Republic and further in Central Asia.
The Improvement in the Positioning on the Nubian and Somalia Plates by Updating Terrestrial Reference Frames
Authors: Farhan M. , Gomaa M.
Published: June 2021

International Terrestrial Reference Frames (ITRF) is an accurate and standard frame for referencing positions at different times and in different locations around the world. The International Global Navigation Satellite System (GNSS) Service, (IGS) enable global positioning and timing at the highest possible accuracy through modernized datum’s aligned with the ITRF. In addition, ITRF site velocities for any location within Africa are between 24 and 31 mm/yr due to rigid motion of the African plate over the underlying mantle. The African plate can be divided into two Nubian and Somalia sub-plates. In the present work, the rotation rates about Euler poles and position improvement in Nubian and Somalia plates with updated ITRFs are investigated. Among the results in this study, when using a rigid plate movement and instantaneous ITRF coordinates to transform a fixed reference epoch, in case of Nubian plate, the residual in positioning and Root Mean Square Error (RMS) improved with the updating of the frame and the best results of residual and RMS appear in frame 2008 by values (0.149,0.011) m. respectively but in Somali plate, residual and RMS increased with the updating of the frame and the best results appear in frame2014 by values (i.,e., 0.096, 0.012) m, respectively.
Take the Initiative, Stop Being Passive to NCDs: A PCA-Weighted Composite Indicator towards Prevalence of NCDs in Malaysia
Authors: Lee Grace Chee-Yao , Wong Shirly Siew-Ling , Puah Chin-Hong
Published: June 2021

In today’s highly dynamic socio-economic environment, the high degree of non-communicable diseases (NCDs) poses both direct and indirect health problems for nations. This study constructed a composite Non-Communicable Diseases Risk Indicator (NCDRI) that comprises leading characteristics to predict the movement of NCDs’ prevalence, which serves as an early signaling tool for policymakers and public health sectors. A weighting scheme for both non-weighted and principal component analysis (PCA)-weighted was applied from the PCA loading factor. The findings verified that the constructed PCA-weighted approach had a remarkable lead time, which also produced better lead times and was consistent in predicting the direction of change in the fluctuations caused by NCDs’ prevalence. An appropriate regime for policymaking and implementation is required, followed by periodic monitoring and rapid action, to reduce the deadly diseases. The findings of this study demonstrate that the cost indicator marked the most significant risk factor to indicate the prevalence of NCDs; therefore, policymakers should converge on this indicator so that cost-effective interventions can result in more valuable outcomes.