bluuebunny/crossref_metadata_2025 huggingface dataset:
PREDICTION OF DEFORMATION CAUSED BY LANDSLIDES BASED ON GRAPH CONVOLUTION NETWORKS ALGORITHM AND DINSAR TECHNIQUE
Authors: Khalili M. A. , Guerriero L. , Pouralizadeh M. , Calcaterra D. , Di Martire D.
Published: January 2023

Abstract. Around the world, the occurrence of landslides has become one of the greatest threats to human life, property, infrastructure, and natural environments. Despite extensive research and discussions on the spatiotemporal dependence of landslide displacements, there is still a lack of understanding concerning the factors that appear to control displacement distribution in landslides because of their significant variations. This paper implements a Graph Convolutional Network (GCN) to predict displacement following the Moio della Civitella landslide in southern Italy and identify factors that may affect the distribution of movement following the landslide. An interferometric technique, known as permanent scatter interferometry (PSI), has been developed based on Synthetic Aperture Radar (SAR) satellite imagery to derive permanent scatter points that can be used to represent the deformation of landslides. This study utilized the GCN regression model applied to PSs points and data reflecting geological and geomorphological factors to extract the interdependency between paired data points, resulting in an adjacency matrix of the interval [0, 0,8). The proposed model outperforms conventional machine learning and deep learning algorithms such as linear regression (LR), K-nearest neighbors (KNN), Support vector regression (SVR), Decision tree, lasso, and artificial neural network (ANN). The absolute error between the actual and predicted deformation is used to evaluate the proposed model, which is less than 2 millimeters for most test set points.
REMOTE SENSING METHODS TO DETECT AND IDENTIFY CLAY-MADE HOUSES
Authors: Khawary H. , Zeaieanfirouzabadi P. , Sadidi J.
Published: January 2023

Abstract. One of the most important issues in urban management is the existence of clay-made houses in or around cities. By the hypothesis that these phenomena are spectrally and spatially behaviour differently from other land uses and land covers. This study attempts to detect and identify clay-made houses through different image processing methods. In this regard, Sentinel 1, 2, and Landsat 8 OLI thermal images of Yazd city have been analysed. After pre-processing, a number of image processing techniques, including optical and radar image composite generation, band ratio, image fusion, image filtering, and image classification (i.e. MLC and ANN), have been used. The result shows that RGB from a combination of Red=radar band C, Green=sentinel band 8, and Blue=sentinel band 4 are the best for visual interpretation of clay-made houses. Also, the most suitable band ratio is the ratio corresponding to radar C and NIR, the Red and Green bands, and the best fusion is derived with Sentinel 1 (band C) and Sentinel 2 (bands 4 and 8) images through the HSV algorithm, kappa coefficients of the agreement for MLC and ANN classifiers are 0.89 and 0.29 respectively. It is concluded that remote sensing image analysis can effectively be used to detect and identify clay-made houses.
NEAR SURFACE AIR TEMPERATURE ESTIMATION THROUGH PARAMETRIZATION OF MODIS PRODUCTS
Authors: Khesali E. , Mobasheri M. R.
Published: January 2023

Abstract. Near-surface air temperature is a key factor in many studies and its spatiotemporal patterns are highly dependent on the ground surface characteristics and vary over time and space. So Land Surface Temperature (LST) is an important parameter for air temperature estimation. In this study, it is tried to model the air temperature by deploying some of the parameters that affect it . The parameters that have been taken into account in this study include land surface temperature, Normalized Difference Vegetation Index (NDVI), Vapor Pressure (VP) and Lifted Index (LI) as a measure of atmospheric stability. To assess the impact of each of these parameters, different linear regression models, were tested. Support Vector Regression (SVR) and hybrid artificial neural network methods were also performed. To model and evaluate the time series data of Georgia State in The United States of America over 1 year have been used. The NDVI, Total Precipitable Water (TPW), LST and LI parameters are products of MODIS. VP is calculated by using a logarithmic model from the TPW. Finally, it was found out that the LST and VP have positive effects, LI has negative and NDVI had a slightly positive impact on the air temperature at 2 meters height. The achieved accuracy in the linear model when all parameters are involved was 2.29 °C with a correlation coefficient of R=0.96. Next, the SVR model was examined and applied to the linear model taking all parameters into account. It was found that it does not end up to any significant increase in accuracy but certainly increases the computation time. The accuracy of this model was about 2.25 °C with a correlation coefficient of 0.96. Finally, a hybrid artificial neural network was examined. It was found that it increases the accuracy but certainly increases the computation time. The achieved accuracy of this model was about 2.14 °C with a correlation coefficient of 0.96.
ADVANCED CLUSTERING OF ARCHITECTURAL GEOMETRIC ORNAMENTS USING SMALL SCALE MACHINE LEARNING, CASE STUDY OF ILKHANID GEOMETRIC PATTERNS
Authors: Mahmudnejad A. , Andaroodi E. , Saadatseresht M.
Published: January 2023

Abstract. Classification is an essential step for architectural historians for better understanding and typology of cultural heritage. This research aims to automatically cluster geometric ornaments of the Ilkhanid period in Iran through using machine learning It examines the application of advanced computer science tools and methods in analysis of architectural heritage by searching the possibility of clustering ornament images with machine learning into different clusters. After examining case studies of mosques, tombs or other buildings in Iran from the Ilkhanid period (1256–1335 CE), 231 images from 36 existing buildings were chosen, and after editing images, an inventory was created based on characterization of each ornament (image) containing: Buildings’ Name, Region, Construction Date, Functionality, Repetition of Motifs, Material, Ornamental Types, Design Complexity, Dominant Colour, Star-Number, Geometric Shape, Geometric Lines, and Geometric Pieces. Next, these images were analysed with small-scale machine learning with the help of the visual programming toolbox Orange (http://orange.biolab.si). The results containing image groups (machine clustered images) were tested with the characterization table of ornaments, and groups of ornaments that represents a style is introduced.
IMPROVED TORNADO METHOD FOR GROUND POINT FILTERING FROM LIDAR POINT CLOUDS
Authors: Mahphood A. , Arefi H.
Published: January 2023

Abstract. In this paper, an improved Tornado method for filtering LiDAR (Light Detection and Ranging) point clouds is presented. The original method uses a vertical cone with a downward vertex and an upward base to remove the points within it as non-ground points. The remaining points are ground points. The cone moves on the ground surface over the entire region of the point cloud. In this work, the regions of the objects are predicted by extracting the vertical features that have points in the vertical plane or vertical column. Therefore, the tornado method is only used in regions that contain objects. In addition, our improved method uses a specific height for a tornado to reduce the Type I error in mountainous areas. Also, a cylinder surrounding the cone is used to reduce the distance calculations between the cone and the point cloud. The results show that this method is very effective and fast compared to the original method. It also has promising results for the Type I error. In addition, this method was tested on the International Society for Photogrammetry and Remote Sensing (ISPRS) datasets and produced outstanding results. The results show that this method achieves high filtering accuracy. Moreover, the proposed method achieves an overall average error of 6.83%, which is lower than most other methods.
NEW AND RAPID METHODS FOR GRIDDING OF POINT CLOUDS
Authors: Mahphood A. , Arefi H.
Published: January 2023

Abstract. Point clouds are among the most important photogrammetry and remote sensing data that provide three-dimensional information about objects and features. These points have unorganized, irregular structures and do not have uniform spacing. In this paper, two innovative methods for converting the point cloud into a grid are presented. The first method is called the mesh method. It generates all possible 3D grid points covering the point cloud. Then, the distances between the generated grid points and the original points are measured. Based on these distances, the required grid points are determined. The second method is the resampling method. It uses three equations to resample the original point so that the points are moved to new coordinates to create the grid points. The methods are tested on three different point clouds. The results show that the two methods are very fast. However, the resampling method is much faster, especially for very large areas.
INTELLIGENT 3D CRACK RECONSTRUCTION USING CLOSE RANGE PHOTOGRAMMETRY IMAGERY
Authors: Majidi S. , Omidalizarandi M. , Sharifi M. A.
Published: January 2023

Abstract. Civil infrastructure Structural Health Monitoring (SHM) and its preservation from deterioration is a crucial task. In general, natural disasters like severe earthquakes, extreme landslides, subsidence or intensive floods directly influence the health of civil structures such as buildings, bridges, roads, and dams. Evaluation and inspection of defects and damages of the aforementioned structures help to preserve them from destruction by accelerating rehabilitation and reconstruction. An automatic and precise crack detection framework is required for periodic assessment and inspection due to the large number of the structures. In this study, a two-step crack segmentation and its 3D reconstruction procedure is proposed. The crack segmentation is carried out by using Deeplabv3+ architecture and Xception as the backbone. Next, Squeeze-and-Excitation is added as an attention module to achieve higher accuracy. Integration of predicted masks and original images into a structure-from-motion procedure is additionally taken into account. In the last step, ground control points and scale bars are considered to overcome the problem of datum rank deficiency in absolute orientation through the bundle adjustment procedure in aerial triangulation. The most probable segmented cracks are overlaid on the 3D point clouds in the global coordinate system with true scales. Our network is trained based on 8000 images and their corresponding masks, leading to 69% in Intersection over Union (IoU) index. Sub-millimetre accuracy of crack reconstruction using the proposed methodology is validated with a scale bar.
PHOTOGRAMMETRIC RECONSTRUCTION AND MULTI-TEMPORAL COMPARISON OF BRENVA GLACIER (ITALY) FROM ARCHIVE PHOTOS
Authors: Malekian A. , Fugazza D. , Scaioni M.
Published: January 2023

Abstract. Since climate change has a significant impact on glaciers, it is essential to track their morphological change by identifying variations in ice mass. In combination with modern photogrammetric approaches, such as Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) dense matching, historical aerial photographs may offer useful information for this objective. Point clouds of the 3D surface of the glaciers may be used to track changes in thickness and height during years. By using appropriate methods for calculating the distances between pairs of point clouds, this operation may be completed. Here, an Alpine glacier massif on Mount Blanc in the Italian Alps was chosen as the case study. National Geographic and the Forestry Institute of France (IGNF) provided seven data sets of digitized analog aerial photos. These were chosen, downloaded, and utilized for photogrammetric analysis. These data sets span almost 40 years, from 1967 to 2006, in total. While the change in ice thickness of these glaciers was relatively small until the mid-1990s, this study revealed an increasing reduction rate at the beginning of 21st century. This paper describes the adopted methodological approach for photogrammetric reconstruction, quality assessment and point cloud comparison. One of the two major glaciers in the considered group (Brenva Glacier) has been focused in this paper as case study.
EXTRINSIC CALIBRATION OF ROTATING 2D LASER RANGE FINDER AND CAMERA USING PHOTOGRAMMETRIC TEST FIELD AND PING PONG BALLS
Authors: Manouchehri M. A. , Hosseininaveh Ahmadabadian A.
Published: January 2023

Abstract. In this article, a method for the extrinsic calibration of a 2D laser range finder and a camera is presented. This technique produces a 3D point cloud from the test field by connecting a laser range finder to a servomotor. In this study, ping balls and standard photogrammetric targets were employed as a test field. Ping pong balls are used because they can be easily recognized in data from laser range finder and camera. To calculate extrinsic calibration parameters between a camera and laser range finder, these balls are employed as control points in the data. The extrinsic calibration of the Laser range finder and camera is carried out using the point cloud created from the test field and the photos captured from the test field. In this method, a sphere is fitted to each ping pong ball's points in the 3D point cloud, and the coordinates of that sphere's center are taken to be the coordinates of that ball. By measuring the distances between various targets in the test field, the scale can be resolved. This approach was compared with another state-of-the-art method. The proposed method is more accurate and stable than the alternative way, taking into account the average inaccuracy of check points.
GIS-BASED GROUNDWATER POTENTIAL MAPPING USING MACHINE LEARNING MODELS, A CASE STUDY: QOM PROVINCE, IRAN
Authors: Masoudian E. , Pahlavani P.
Published: January 2023

Abstract. By considering the increasing trend in water consumption and significant reduction of water resources in most countries of the world, groundwater resources have become very important. The Target of this study is to implement machine learning models to produce a groundwater potential map (GWPM), identify areas with higher water potential, and also identify influencing factors. Therefore, two algorithms including the random forest (RF) and support vector regression (SVR), were performed that according to the literature have a good compatibility with this type of problems, compared to the other models. Of the 351 well points available throughout the study area, 70% (245 well points) were selected as the target for training the models and the rest 30% (106 well points) were used for evaluating the models. In addition, 20 effective information layers were used for modeling. In this study, an effort was made to focus more on data preparation that is one of the most important parts of model development. The variance inflation factor (VIF) and correlation coefficient were applied to identify the dependent variables. Also, feature selection was done to identify the most influential factors. Finally, two groundwater potential map(GWPM)s were created based on these two models. By calculating the area under the curve (AUC) from the receiver operating characteristic (ROC), the prediction accuracy of the two models was calculated. The values for AUC of the two maps produced by the RF and SVR algorithms were 93.4% and 89.7%, respectively. This study improves the knowledge of groundwater potential in the study area which is one of the cities with water scarcity in the country.
A FLEXIBLE TRAJECTORY COMPRESSION ALGORITHM FOR MULTI-MODAL TRANSPORTATION
Authors: Mirvahabi S. S. , Ali Abbaspour R. , Claramunt C.
Published: January 2023

Abstract. Continuous progress in navigation, sensor-based, and GPS technologies have made smart devices essential to our daily lives and many location-based applications. However, the trajectory datasets generated by these applications require the management of large data volumes while preserving their main properties and semantics. One of the most popular methods for compressing trajectory data offline is the Douglas–Peucker (DP) algorithm, but its principles should be applied to a diverse range of contexts when considering real-time trajectory data. This paper introduces a Flexible Douglas-Peucker algorithm (FDP) that takes into account the data’s diversity, underlying properties, and semantics. The proposed framework is applied to the Geolife benchmark dataset with a series of different thresholds that reflects different contexts and constraints when performing a trajectory compression process. The results show that the proposed algorithm achieves a significant compression rate while preserving trajectory data points that have a semantic role concerning different modes of transportation.
OIL SPILL DETECTION IN THE CASPIAN SEA WITH A SAR IMAGE USING A DENSENET MODEL
Authors: Barzegar F. , Seydi S. T. , Farzaneh S. , Sharifi M. A.
Published: January 2023

Abstract. Hydrocarbon spills play a vital part in contaminating water resources such as the seas and oceans. Establishing a quick and accurate approach to identifying hydrocarbons is critical to addressing these pollutants' harmful effects on the aquatic environment and local residents. The use of satellite remote sensing to detect large-scale oil spills is one of the most extensively used domains for this purpose. A machine learning method with high speed and accuracy was proposed in this study to detect occurring hydrocarbon leaks in a SAR image captured by the Sentinel-1A satellite in the Caspian Sea. The suggested method is a dense-structured network of deep learning (DenseNet) that takes the required image as input and divides it into two classes, namely, oil Spill and non-oil Spill. This dense Network outperforms the standard convolutional neural network algorithm (CNN). As a result of using the Sentinel-1A SAR image of the Caspian Sea, we achieved an overall accuracy of 99.83% and a Kappa coefficient of 0.9055.
Relationship of Emotional Intelligence and Academic Burnout with Mediating Effect of Self-efficacy among University Students
Authors: Saeed Wizra , Zafar Neelam , Hanif Rabia
Published: January 2023

The present study investigated the association between emotional intelligence (EI) and academic burnout with a self-efficacy’s (SE) mediating effect among university students. A cross sectional research design was used in this study which was carried out in Karachi from September 2018 to January 2019. The sample involved 400 full time regular university students from different academic institutions in Karachi, Pakistan. The participants ranged in age from 16 to 25 years (M=21.28, SD=2.12). Participants were given the Schutte Emotional Intelligence Scale, the Academic Self-Efficacy Scale, and the Academic Burnout Scale to investigate the association between a student's emotional intelligence, academic self-efficacy, and academic burnout. The descriptive statistics and linear regression analysis were used to compute the results. The findings show that emotional perception, emotional use, emotional self-management, and managing emotions with others were identified as the significant predictors of academic self-efficacy. It was determined that emotional intelligence and academic self-efficacy played a significant influence in preventing academic burnout among undergraduate students. Students with high levels of emotional stability perform better academically, which is influenced by emotional intelligence. Through developed curricula, trainings, exercises, and awareness sessions, educational institutions may create a variety of strategies to sustain not just students' academic performance but also their ability to operate normally in daily life. Academic administrators can readily manage students' academic burnout if they focus on these factors.
Faktor-Faktor Yang Berhubungan Dengan Perilaku Membuang Sampah Rumah Tangga
Authors: Sarwoko Sabtian , Heryanto Eko , Meliyanti Fera
Published: January 2023

Sampah erat kaitanya dengan kesehatan masyarakat, karena dari sampah tersebut akan hidup berbagai mikroorganisme penyebab penyakit, dan juga binatang serangga sebagai pemindah/penyebar penyakit. Sampah yang tidak tertangani dengan baik akan mengakibatkan tingginya angka kepadatan, pencemaran terhadap udara, tanah dan juga air, serta rendahnya nilai-nilai estetika. Untuk mengetahui faktor-faktor yang berhubungan dengan perilaku membuang sampah rumah tangga di Kelurahan Sekar Jaya. Desain penelitian yang digunakan adalah desain penelitian Cross Sectional. Sampel adalah kepala keluarga yang berada di Kelurahan Sekar Jaya dengan besar sampel 331 sampel. Uji statistik yang digunakan adalah uji chi square. Berdasarkan analisis univariat diperoleh hasil sebanyak 186 (56,2%) responden mempunyai perilaku membuang sampah rumah tangga baik, sebanyak 189 (57,1%) responden berpengetahuan baik, sebanyak 182 (55%) responden dengan sikap positif, sebanyak 184 (55,6%) responden dengan pendapatan rendah dan sebanyak 173 (52,3%) responden mempunyai sarana pembuangan sampah. Analisis bivariat diperoleh hasil ada hubungan yang bermakna antara pengetahuan (p=0,000), sikap (p=0,002), pendapatan (p=0,001), dan ketersediaan sarana (p=0,001) dengan perilaku membuang sampah rumah tangga. Pendekatan dan pemberdayaan masyarakat dalam membiasakan hidup bersih dan sehat serta membiasakan sedini mungkin pada anak-anak agar membuang sampah pada tempatnya. Melibatkan tokoh agama dan tokoh masyarakat yang berpengaruh dalam merubah perilaku membuang sampah sembarangan sehingga masyarakat termotivasi untuk hidup bersih dan ramah lingkungan.
Pemberian Seduhan Daun Jambu Biji (Psidium Guajava) Untuk Mengurangi Diare
Authors: Efrianty Novalia , Citra Tri Sartika Rianita
Published: January 2023

Diare merupakan salah satu masalah kesehatan yang masih menjadi penyebab utama tingginya morbiditas dan mortalitas pada anak di negara berkembang termasuk di Indonesia. Penelitian ini bertujuan untuk untuk menerapkan asuhan keperawatan keluarga penderita diare dengan penerapan pemberian seduhan daun jambu biji (Psidium Guajava) untuk mengurangi diar. Jenis Penelitian studi kasus ini deskriptif dengan metode Pendekatan Studi Kasus. Penelitian Studi Kasus ini dilakasanakan pada 2 penderita gastroentritis. Teknik Pengumpulan data penelitian studi kasus ini adalah observasi dan wawancara. Hasil Penelitian Studi Kasus menunjukkan bahwa penerapan pemberian seduhan daun jambu biji (Psidium Guajava) untuk mengurangi diare hanya sebagian masalah yang teratasi. Peneliti menyarankan bagi tenaga kesehatan dapat menjadi referensi dalam mengatasi masalah diare yang dapat digunakan bagi masyarakat dalam penanganan sehari-hari.perilaku membuang sampah sembarangan sehingga masyarakat termotivasi untuk hidup bersih dan ramah lingkungan.
Pengaruh Terapi Benson Terhadap Pasien AMI (Acute Mycardial Infark) di Ruang Rawat Inap
Authors: Indra Frana Jaya KK  , Hajati Septami Putri
Published: January 2023

Infark Miokard Akut adalah penyakit jantung yang disebabkan karena sumbatan pada arteri coroner. Masalah yang ditimbulkan yaitu nyeri. Salah salah intervensi yang dapat digunakan untuk mengurangi nyeri yaitu terapi benson. Penelitian ini bertujuan untuk mengetahui Pengaruh Terapi Benson Terhadap Pasien Infark Miokard Akut di Ruang Rawat Inap RSUD Siti Fatimah Provinsi Sumsel Tahun 2022. Metode penelitian ini menggunakan pendekatan kasus dengan melakukan pendekatan keperawatan dengan menggunakan terapi relaksasi benson untuk mengurangi skala nyeri pada pasien dengan Infark Miokard Akut yang mengalami nyeri dada di ruang Rawat Inap RSUD Siti Fatimah Provinsi Sumatera Selatan pada bulan Oktober 2022. Dimana sampel yang diambil ada 3 pasien dengan 2 kriteria pasien baru yang terdiagnosa AMI yang akan dilakukan intervensi dengan terapi benson dan 1 pasien tidak menggunakan terapi benson di Paviliun cendana dengan skala nyeri menggunakan Numeratic Rating Scale (NRS) beragama muslim dan umur pasien sekitar 50 tahun ke atas. Hasil dari implementasi yang dilakukan oleh peneliti, nyeri dari kedua pasien menurun dengan indikasi bahwa pasien menggatakan nyeri berkurang, skala nyeri menurun, expresi wajah rileks, tekanan darah menurun, nadi menurun, pernapasan menurun.  Didapatkan 2 pasien mengalami penurunan skala nyeri setelah diberikan intervensi relaksasi benson menjadi nyeri sedang (NRS 6) dan nyeri ringan (NRS 2). Peneliti menyarankan intervensi keperawatan yang digunakan untuk mengurangi nyeri dada kiri adalah relaksasi Benson.
Gambaran Tingkat Kualitas Hidup Pasien Hipertensi di Wilayah Binaan UPTD Puskesmas Sukaraya
Authors: I Gusti Ayu Putu Desy Rohana , Pome Gunardi , Masayu Hartina Ulfa
Published: January 2023

Penyakit menular (PTM) terus mengalami peningkatan setiap tahunnya, salah satu PTM yang tinggi angka peningkatan kejadiannya adalah hipertensi. Kelompok ibu rumah tangga (IRT) merupakan kelompok yang rentan terhadap keluhan fisik, baik karena faktor fisiologis maupun karena penyakit. Angka kejadian penyakit tertinggi di kabupaten OKU adalah hipertensi, dengan kejadian terbesar pada kelompok jenis kelamin perempuan. Hipertensi pada IRT menimbulkan banyak masalah yaitu kesehatan fisik, psikologi, hubungan social, maupun hubungan lingkungan sehingga mengakibatkan turunnya kualitas hidup penderitanya. Penelitian ini menggunakan desian deskriptif analitik yang akan memberikan gambaran tingkat kualitas hidup pasien hipertensimenggunakan instrumen WHOQOL-BREF di wilayah binaan UPTD Puskesmas Sukaraya, OKU. Sampel pada penelitian ini berjumlah 60 orang IRT yang mengalami hipertensi dan sedang menjalani pengobatan di UPTD Puskesmas Sekarjaya, OKU. Hasil penelitian ini menunjukkan  bahwa karakteristik responden yang mengikuti penelitian didominasi oleh responden dengan jenis kalamin perempuan 60 orang (100%), usia terbanyak pada kelompok usia dewasa akhir sebanyak 20 orang (33,3%), dan waktu lamanya terdiagnosis hipertensi terbanyak < 1 tahun sebanyak 44 orang (73,3%). Kualitas hidup pasien hipertensi pada penelitian ini didapatkan responden dengan kualitas hidup sangat baik sebanyak 13 orang (21,67%), kualitas hidup baik sebanyak 23 orang (38,33%), dan kualitas hidup sedang sebanyak 24 orang (40%). Kualitas hidup responden dalam penelitian ini juga dikategorikan pada 4 (empat) dimensi. Kualitas hidup responden pada dimensi yang diukur terdapat kualitas rendah pada kategori dimensi fisik 17 orang (28,33%), dimensi hubungan social 6 orang (10%), dan dimensi hubungan lingkungan 4 orang (6,67%). Hasil penelitian ini menunjukkan bahwa secara umum kualitas hidup pasien hipertensi berada pada kualitas sedang, terdapat kualitas rendah pada dimensi kesehatan fisik dan hubungan social yang cukup tinggi. Diharapkan penelitian ini dapat menjadi landasan data untuk penelitian selanjutnya dalam menentukan intervensi yang tepat untuk meningkatkan kualitas hidup pasien hipertensi.
Pengaruh Penerapan Loan Management System (LMS) terhadap Non Performing Loan (NPL) pada Bank Bjb
Authors: Auliaurrohamani Dhea
Published: January 2023

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan loan management system (LMS) terhadap non performing loan (NPL) pada bank bjb dengan melihat pada 5 tahun sebelum penerapan LMS dan 5 tahun setelah penerapan LMS.

Penelitian ini dilakukan menggunakan metode kuantitatif dengan pendekatan deskriptif dan verifikatif. Analisis yang digunakan dalam penelitian ini adalah uji beda Wilcoxon menggunakan SPSS, analisis ini dilakukan untuk melihat apakah ada pengaruh dengan adanya LMS atau tidak. Sumber data yang digunakan adalah data sekunder berupa laporan keuangan atau annual report. Teknik pengumpulan data dalam penelitian ini adalah dokumentasi / data sekunder dan wawancara kepada narasumber. Populasi dalam penelitian ini yaitu Laporan Keuangan Bank Bjb. Sampel pada penelitian ini adalah NPL pada Laporan Keuangan Bank Bjb tahun 2012 – 2021. Pengambilan sampel menggunakan purposive sampling dengan kriteria tertentu, yaitu NPL dari tahun 2012 - 2021.

 Hasil dari penelitian ini  menunjukkan bahwa adanya pengaruh penerapan loan management system terhadap non performing loan pada bank bjb.
Analisis Efektivitas Pengadaan Barang/Jasa secara Elektronik (E-Procurement) pada Dinas Tanaman Pangan dan Hortikultura Provinsi Jawa Barat
Authors: Hikmah Rismayanti Nurul , Irjayanti Maya
Published: January 2023

This study aims to determine the application of e-procurement in the procurement of goods/services activities and it is relation to the effectiveness of procurement, as well as to identify the success and failure factors of the implementation of e-procurement. The object of research is the procurement of goods/services electronically (e-procurement) in Dinas Tanaman Pangan dan Hortikultura Provinsi Jawa Barat. In this study using a descriptive method with a qualitative approach. Data collection techniques were obtained from primary data in the form of observation, interviews, and documentation. Meanwhile, secondary data was obtained from books, literature, and other published data. The results of this study showed three findings. First, the implementation of e-procurement in the procurement of goods/services in Dinas Tanaman Pangan dan Hortikultura Provinsi Jawa Barat can be said to be going well and is in accordance with applicable regulations related to Government Procurement of Goods/Services. Second, the implementation of goods/services procurement activities electronically (e-procurement) has been effective. This is reflected in the achievement of the five goals that have been set. Third, the success and failure factors of e-procurement are classified based on three crucial factors, namely human factors, technology, and processes. Proposed improvements in the form of socialization, training, and evaluation related to the implementation of e-procurement should be made as an effort to increase the effectiveness of procurement.
Falco bakalovi sp. n. - a Late Pliocene falcon (Falconidae, Aves) from Varshets (W Bulgaria)
Authors: Boev Zlatozar
Published: January 2023

The middle Villafranchian site (MN zone 17) near Varshets provided over 110 species of vertebrates, 51 of them avian species. That makes it the richest Tertiary site of that age in Europe. The paper describes a new falcon by a right half of the postacetabular part of the pelvis (holotype, No NMNHS 1642). Diagnose: a medium sized (between F. subbuteo and F. peregrinus) fossil species of g. Falco, differing by the sharp transition (turn) of crista iliaca dorsolateralis over the ala ischii (Fig. 1) and the rounded (oval), but not angular shape of the caudal edge of foramen ilioischiadicum. All sites of g. Falco up to now originate from SE Europe.
Metasomatic gabbroids – markers in the tectono-metamorphic evolution of the Eastern Rhodopes
Authors: Kozhoukharova Evgenia
Published: January 2023

Metasomatic gabbroids – markers in the tectonometamorphic evolution of the Eastern Rhodopes. Pegmatite-aplitic veins cut the serpentinites of Precambrian ophiolite association in Byala Rcka anticline. As a result, bimetasomalic reactions took place and dyke-like bodies of metasomatic rocks, similar to gabbros appear. The bodies are concordant with the schistosity of the serpentinites. The rocks have coarse-grained, spotted or slightly schistose structure. Their mineral composition is dominated by zoisite, epidote, and plagioclase ranging between albite-oligoclase and anorthite. Thc other common minerals are diopside, quartz, talc, chlorite, amphibole (actinolite and hastingsite), grossular, K-feldspar, titanite, dolomite. The texture is commonly pseudomorphos, corrosional, simplectitic, diablastic. The varying chemical composition of the metasomatites distincts them from the petrochemical group of the basic magmatic rocks. On the other hand, they differ in structure, texture, character of the deformation, and chemical and mineral composition from the earlier metamorphosed basic magmatic rocks which are components of the ophiolitic association. The metasomatic gabbroids are synmetamorphic, postdeformation reaction products related to the differentiates of later deep level migmatization of the Prarhodopian Supergroup. They were formed during the second metamorphic event of the second metamorphic cycle. Probably, the metasomatic gabbroids were synchronous to the gneiss-granites from the Orlov vruh peak. Temporally they follow the stage of syndeformation metamorphic recrystallisation and mark the beginning of the ultrabasic rock assimilation. The metasomatic gabbro ids are important markers in the evolution of the metamorphic basement of the Rhodope massif.
Representatives of the Toarcian ammonite genera Osperleioceras Krimholz, 1957 and Phlyseogrammoceras Buckman, 1901 in Bulgaria
Authors: Metodiev Lubomir , Sapunov Ivo
Published: January 2023

The following taxa of the species group, belonging to the genera Osperleioceras and Phlyseogrammoceras are described and figured for the first time in this country: Osperleioceras bicarinatum (Zieten, 1831), Phlyseogrammoceras dispansum evolutum subsp. n., P. maubeugei sp. n., P. bleicheri Maubeuge, 1949. The Bulgarian Phlyseogrammoceras dispansum Zone is characterized by species of Phlyseogrammoceras for the first time.
Earliest finds of crossbills (genus Loxia) (Aves: Fringillidae) from Varshets (NW Bulgaria)
Authors: Boev Zlatozar
Published: January 2023

A review of the fossil history of g. Loxia is presented. Bulgarian record of crossbills consists of several finds of 4 sites – 3 of Upper Pleistocene (Wurmian) age and one of Middle Villafranchian (ca. 2.2 mya). The last site (a ponor near the town of Varshets, NW Bulgaria) has provided the earliest record of the genus. These finds are described as Loxia patevi sp. n.
Convergence of minerals with alunite-type structure (phosphates, phosphates-sulfates and sulfates), some cases from Bulgaria
Authors: Kunov Angel
Published: January 2023

In the geology some cases of convergence are often established. The forming of same minerals under different conditions makes difficult the determination of their genesis as well as the processes responsible for their origin. In the nature many typomorphic minerals are known. The minerals with alunite-type structure (phosphate, phosphates with additional S04 groups, sulfates and arsenates) offer broad opportunities for studies on the convergence. In Bulgaria occur and are proved phosphates (plumbogummite, florencite), phosphates with additional S04 groups (corkite, hinsdalite, svanbergite, woodhauseite) and sulfates (alunite, jarosite, plumbojarosite, osarizawaite, beavearite). Most of them have been found related to ores and wall-rock alterations in localities with broad occurrence of hydrothermal-metasomatic and supergene processes. Based on main charactetistic features endogene and exogene alunites and jarosites are established. The so far found hinsdalite, plumbogummite, osarizawaite and beaverite are of supergene origin. The svanbergite and woodhauseite are found being of hydrothermal-metasomatic or undetermined origin. The correct genetic interpretations have an important practical and theoretical value. Therefore all data on the geological environment in which alunite and its structural analogues occur, the results of their experimental and theoretical modelling, and established relations between conditions of forming and minerals composition are valuable.
Preliminary data on the K-Ar dating of the basic rocks from the region southerly of Momchilgrad, Eastern Rhodopes, Bulgaria
Authors: Lilov Petar , Pécskay Zoltán , Goranov Alexander , Boyanov Ivan
Published: January 2023

Volcanic rocks from the Eastern Rhodopes depression near to Bulgarian-Greek border are investigated. Six samples of basic altered rocks from 4 dykes and 2 larger bodies located into Kapinovo graben and Kushla volcano-tectonic structure are characterized. The K-Ar age of the basic dykes and small bodies is (31-32.5)±1.3 Ma and they are referred to the Early Oligocene (Rupelian). The time-span of the formation of the dykes corresponds as a whole to the time-span of the paroxismal volcanic events in the East Rhodope Volcanic Area.
K-Ar dating of Mesta volcanics (SW Bulgaria)
Authors: Pécskay Zoltán , Harkovska Alexandra , Hadjiev Alexander
Published: January 2023

The Mesta volcanic massif (SW Bulgaria) belongs to the Macedonian-Rhodope-North Aegean Magmatic Zone. It crops out along the middle course of Mesta River and covers about 200 km2 of the homonymous graben. The bаsеmеnt of Mesta graben and the neighbouring elevated blocks of Pirin and Western Rhodope mountains are composed of high-grade metamorphics, hosting granitoidic plutons of diverse ages, including the Paleogene Central Pirin and Teshevo plutons. Apart from the volcanic bodies, the graben-fill consists of complexly interfingered Paleogene stratified continental terrigenous sedimentary rocks, volcanogenic-sedimentary rocks and volcaniclastics (both руrо-, and epiclastics), overlain unconformably bу Neogene and Quaternary deposits. The Mesta volcanics are represented by two main types: high-K calc-alkaline to shoshonitic dacites (in some places with а transition to latites) and high-K calc-alkaline rhyodacites. The magmatic bodies of subvolcanic and extrusive facies are represented by а number of morphologic varieties, which belongs to two polygonal caldera structures (Кrеmеn and Banichan) and two linear magmato-tectonic zones (Gostoun and Dobrinishte). This paper presents 12 К-Аг ages obtained for 11 lауа bodies of different geological position and for one re-deposited volcanic clast from the middle part of the stratified Paleogene section. The ages are in support of the suggestion that the Mesta volcanics originated from а zoned magma chamber. More silicic (rhyodacitic) eruptions and subvolcanic intrusions are related to earlier volcanic events in the northern part of the massif - оn the territories of the Кrеmеn caldera, Gostoun and Dobrinishte zones. These events (approximately 33-31 Ма) are рге-, and sincollapse ones in respect to the Кrеmеn caldera formation. The later (sin- and post-collapse) rhyodacitic eruptions were accompanied and followed by eruptions and subvolcanic intrusions of less silicic, dacitic melts (31-28 Ма). The main portion of the dacites is related to the centres in the Banichan caldera (29-28 Ма). The time-span obtained covers the events of the paroxysmal volcanic activity in the Mesta graben only. Thus it is shorter than the real time-interval of the volcanism. This time-span is comparable with that of the voluminous Раlеоgene volcanism in the Smolyan region (Central Rhodopes). The Rb-Sr ages of neighbouring Teshevo and Central Pirin plutons plot in its boundaries as well. Some recommendations for more detailed and precise future radiometric studies are proposed to define the age of the initial and the final volcanic events in the Paleogene Mesta graben.
Marine phreatic cements in the Triassic limestones from Western Balkanides
Authors: Chatalov Athanas
Published: January 2023

Five major types of marine phreatic cements are established in winnowed and semi-winnowed limestone textures from the Triassic section of the Western Balkanides: radial fibrous, bladed, radiaxial bladed, cryptocrystalline and syntaxial. They were precipitated mainly in the inner and middle parts of а carbonate ramp in the active zone of the marine phreatic diagenetic environment. Тhe radial fibrous and bladed cement types аrе markedly predominant. Evidence is found that at least а part of the syntaxial overgrowths uроn crinoid fragments were generated during the early marine phreatic diagenesis. The primary mineralogy of the cement phases has bееn mainly high-Mg calcite with only limited precipitation of acicular aragonite. However, the later diagenetic events as well as the nature of the sedimentation do not allow to infer specific cyclicity pattern in the Triassic section with respect to the abiotic carbonate precipitation. The factors controlling the original mineral composition are assumed to have Ьееn mostly the saturation state of seawater with respect to calcite and aragonite as well as kinetic factors. The predominance of primary high-Mg calcite marine cements differs from the prevailing aragonite primary mineralogy of the associated ooids in the Spathian-Anisian limestones. The former has bееn probably predetermined bу the lower rate of carbonate anion supply in the interallochem space of the grainstones.
Echinoids from the Cretaceous/Tertiary boundary sequence at Byala, Varna Area, Bulgaria
Authors: Ilieva Tanya
Published: January 2023

The study is based оn fossil material from four K/T bоundаrу sесtiоns nеаr the tоwn of Byala, Vаrnа District. The есhinоids form аn еssеntiаl part of the fossil mасrоfаunа at these outcrops. The рrеsеnсе of аmmоnitеs, inосеrаmids and nannoplankton is а good basis for precising of their stratigraphical range. The collection consists of 305 specimens, rерresentatives of 23 species from 5 families. The composition and distribution of the irregular echinoids from uninterrupted кrr sections show а gradual decrease in species variety at the end of the Late Maastrichtian. We should note the extinction of the genera Stegaster, Sеиnаstеr, Lampadaster and Cardiaster. А complete change of the echinoid species is observed at the boundary without evidence of mass mortality. The surviving genеrа аrе Coraster, Echinocorys and Galeaster. The new elements in post-maastrichtian fauna in these sections аrе representatives of the genera Ornithaster, Homoeaster, Cyclaster. There is а blооm in development of these Paleocene species, but all of them have ancestors in Maastrichtian. The K/T boundary is distinct only оn species and generic level. The echinoid communities from Byala аrе typical for the Thetyan basin.
Presence of Pavo bravardi (Gervais, 1849) (Aves, Phasianidae) in the Ruscinian locality of Megalo Emvolon, Macedonia, Greece
Authors: Boev Zlatozar , Koufos George
Published: January 2023

A left tibiotarsus of an adult individual of Pavo bravardi is described. The find comes from the 7th site of this species of the world and the 2nd site on the Balkan Peninsula. Megalo Emvolon is a new (the forth), unknown till now Tertiary avian locality of Greece and complete the fossil history of peafowl in Europe.
Dispersed tubular structures and filaments from Upper Silurian - Middle Devonian marine deposits of North Bulgaria and Macedonia
Authors: Lakova Iskra
Published: January 2023

AssembIages of tubular structures and filaments from Upper Silurian (Pridoli) - Middle Devonian (Eifelian) marine bIack shales of the subsurface of the Moesian Platform are reported. These tubes and filaments are bеlieved to derive from early land plants. Thirteen species of the Anteturma Trichomiformis Burgess and Edwards are described. Two new species are proposed: Роrсаtitubulus rеtiсulаtus and Оrnаtifilum macedonensis. The tubes and filaments are associated in palynological preparations with acritarchs, chitinozoans, scolecodonts, spores and cuticle fragments, the chitinozoans being used for age determination. Two species of tubes and filaments are also documented from dark grey schists of Late Silurian - Early Devonian age from easternmost Macedonia. The material described herein comprises the first comprehensive report of dispersed tubes and filaments from Upper Silurian - Middle Devonian deposits of Northern Gondwana. It is similar to contemporaneous tubular structures and filaments from Laurentia-Avalonia-Baltica suggesting that the vegetation producing this phytodebris was cosmopolitan. The newly documented оссurrеnсе of tubes and filaments in the Emsian - Eifelian deposits ехtends their upper stratigraphical range. The finds of соmplex tubular structures resembIing tracheids of trimerophytes and zosterophylls from the uppermost Silurian of Bulgaria suggest that some groups of vascular plants possibIy emerged in Northern Gondwana earlier than in Laurentia and Avalonia-Baltica.
Partitioning of heavy metals between estuarine sediments and dissolved phase as a function of salinity, pH and time (Scheldt estuary)
Authors: Dekov Vesselin , Van Alsenoy Veerle , Onar Nur , Van Put Annick , Van Grieken René
Published: January 2023

The distribution coefficient (Kd) and kinetics of the heavy metals Cd, Cu, Zn and Pd as a function of salinity and pH are investigated experimentally considering desorption processes and adsorption of 109Cd radiotracer for natural particulate matter from the Scheldt estuary (Belgium/The Nitherlands). The desorption of Cu from polluted estuarine sediments is very low. Only at high salinities minor desorption was detected. At persistently low pH (<4), desorption was completed to 100 %. Also the Pb desorption is very limited and only strong acidification of the solution will efficiently desorb a considerable fraction of the element. The desorption of Cd is significant as a function of all the considered parameters. The desorption process is fast and up to 60 % of the adsorbed Cd can be released into natural water. Both the salinity and the pH can change the distribution between the solid and the dissolved phase significantly. The extent of Zn desorption is intermediate between Cd and Pb. Both salinity and pH are important parameters to be considered for the sorption processes in the natural environment. The adsorption of 109Cd on natural particulate matter from the Scheldt estuary changes as a function of temperature, salinity and composition of the particulate matter. The temperature has only a minor influence on the Kd-salinity relation, while the composition of the suspended matter showed to be very important. Even though the number of samples used was small, preliminary results show that organic content of sediments may be the most important parameter for adsorption of Cd. A similar relation between the Kd of the adsorption process using 109Cd and the desorption process as a function of salinity, indicates that the metal binding character of the adsorbed 109Cd may be identical to that of the naturally bound Cd released during the desorption process. The magnitude of the Kd, however, needs to be determined according to the different environmental parameters.
U phế bào xơ hoá - Báo cáo trường hợp và xem xét tài liệu liên quan
Authors: Công Cung Văn
Published: January 2023

U phế bào phổi xơ hoá (Pulmonary Sclerosing Pneumocytoma-PSP), trước đây được gọi là u máu phổi xơ hoá, là một khối u phổi hiếm gặp được Liebow và cộng sự mô tả lần đầu vào năm 1956 như một khối u có biểu hiện xơ hoá và tăng sinh mạch máu rõ rệt. PSP đã được chứng minh có nguồn gốc biểu mô, rất có thể là từ các tế bào phế nang loại II. Đặc điểm cơ bản của PSP là sự hiện diện của các tế bào bề mặt hình khối và tế bào mô đệm hình tròn, cả hai đều được cho là tân sinh. Trong phân loại của Tổ chức Y tế Thế giới (TCYTTG) năm 2015 (cập nhật 2021), “các khối u đa dạng/hỗn hợp” đã được chuyển thành nhóm “u tuyến” và PSP thuộc phân nhóm u tuyến (adenoma). Trong phân loại này, các loại u tuyến phổi gồm có (1) U phế bào xơ hoá (Sclerosing Pneumocytoma); (2) U tuyến phế nang (Alveolar Adenoma); (3) U tuyến nhú (Papillary Adenoma); (4) U tuyến phế quản (Bronchiolar Adenoma)/U tuyến nhú nốt-nhày lông chuyển (Ciliated muconodular papillary tumour); (5) U tuyến nang nhày (Mucinous Cystadenoma); (6) U tuyến nhày (Mucinous gland adenoma). Phần lớn các PSP là lành tính, rất hiếm gặp khả năng ác tính. Trên X-quang và chụp cắt lớp vi tính u thường biểu hiện như là nốt đơn độc, thường được phát hiện tình cờ và bệnh nhân thường không có triệu chứng. Vấn đề chẩn đoán phân biệt, khẳng định lành tính vẫn đang còn là thách thức đối với các nhà chuyên môn. Chúng tôi giới thiệu trường hợp bệnh nhân nam, 67 tuổi đến khám và điều trị tại Bệnh viện Phổi Trung ương, được chẩn đoán xác định PSP bằng giải phẫu bệnh và hồi cứu tài liệu liên quan để các đồng nghiệp cùng tham khảo.