Reviewerly/exHarmony huggingface dataset:
Estimation of Tectonic Fault Systems of Mongolian Territory Using Geomagnetic Anomaly Data

Summary The magnetic anomaly dataset was used to delineate fault parameters and terrane boundaries of the Mongolian territory. The spectral method has been implemented to separate shallow-, intermediate- and deep-seated faults and corresponding figures have been depicted. Also, locations of some new hypothetic faults have been estimated from the geomagnetic dataset.
The importance of archives

Valerie Higgins says that the contributions of support staff should not be forgotten when it comes to celebrating scientific breakthroughs
Access to Finance for Women-Owned SMEs in Palestine

The aim of this study is to investigate the effects of collateral requirement, Business support services, High interest on loans, and lack of Information services on access to finance by Women-Owned Small and Medium Enterprises in Palestine , A structured questionnaire was administered on a random sample population of Women-Owned SMEs Enterprises in Hebron and Bethlehem , Out of the 60 questionnaires administered, 54 were filled and returned.This represented a response rate of 90%.Data obtained from the questionnaires were analyzed using the Statistical Package for Social Science(SPSS).Questionnaires were administered on the owners of these SMEs and/ or representatives.Multiple linear regression analysis was used to establish the effects of the market constraints on access to finance by Women-Owned SMEs Enterprises in Palestine.The study indicated that there is a negative correlation between collateral requirements, , High interest on loans, lack of Information services and access to finance by SMEs in Palestine, while there is a positive correlation between Business support services and access to finance SMEs in Palestine.Regression analysis showed that variation in access to finance by SMEs can be explained by collateral requirement, Business support services, High interest on loans, and lack of Information services.The study recommended that, financial institutions should simplify their lending criteria and pay attention to opportunities for financing the promising SME sector rather than requiring high collateral ,Government should increase the little support it offers to SMEs, government should launch interest rate-supported programs to enable SMEs access to funds from banks and other financial institutions at low interest rates, increasing the number of intermediaries between the SMEs and the banks to reduce information asymmetry.
Detecting sparse rating spammer for accurate ranking of online recommendation

Ranking method for online recommendation system is challenging due to the rating sparsity and the spam rating attacks. The former can cause the well-known cold start problem while the latter complicates the recommendation task by detecting these unreasonable or biased ratings. In this paper, we treat the spam ratings as 'corruptions' which spatially distribute in a sparse pattern and model them with a L1 norm and a L2,1 norm. We show that these models can characterise the property of the original ratings by removing spam ratings and help to resolve the cold start problem. Furthermore, we propose a group-reputation-based method to re-weight the rating matrix and an iterative programming-based technique for optimising the ranking for online recommendation. We show that our optimisation methods outperform other recommendation approaches. Experimental results on four famous datasets reveal the superior performances of our methods.
A Dynamic Resource Mapping Load Balancing Technique in Cloud Computing

Tremendous advantages of virtualization and cloud computing innovations have invigorated the Information and Communication Technology sector towards embracing cloud computing. Different ICT-empowered service providers additionally have either embraced cloud computing or began moving administrations to cloud framework. Be that as it may, the expanding interest for cloud based foundation has come about into extreme issue of managing the resources and load balancing for cloud specialist providers and customers. Specialists have recommended various different load balancing techniques for effective resource usage in cloud. An epic load balancing strategy speaking to migration of workload from over-loaded VM to daintily stacked VM in cloud computing condition is introduced in this paper. An endeavor is made to help the cloud partners to overcome the imbalanced resource usage issue is displayed in this paper.
PERFORMANCE OF QUANTUM BASED IMAGE SCRAMBLING CRYPTOGRAPHY USING QPQ-CD ON 5G NETWORK AUTHENTIFICATION KEY AGREEMENT

The QPQ-CD (Quantum and PostQuantum CipherKey Dynamic uses a dynamic key after the registration of themobile at the 5G Network. The algorithm could be divided in two parts : The Quantum Cryptography andPost Quantum Cryptography. The Quantum Cryptography used Quantum Image Scrambling methodswith the Red, Green, and Blue Component which are treated separately by the two algorithms QAT andQHT. They change only the position of the image pixel without changing the value of this. QAT and QHTuse 2 method different : one is based on the permutation of the pixel position and the others is based onone the space-filling curveIn this article, the performance of the Quantum Cryptography using at theQPQ-CD is analyzed by the PSNR(Peak Signal to Noise Ratio), SSIM (Structural SIMilarity),NPCR(Number of Pixel exchange rate), UACI (Unified Average Changing Intensity), Correlation andthe binary entropy. PSNR for the two methods is near than the value 8 which is a good visual qualityvisualThe SSIM and Correlation also offers a best parameter which is near zero. The image transformedby scrambling methods and originals are no similitude and no correlation. The NPCR give also a goodperformance because 99% of pixels changed in the image. But the UACI is not more than 20%. So, theintensity light of the new image doesn’t change with the maximum. The algorithm of the scrambling is notresistant to the attack physic using difference power analysis. The binary entropy is less than 50%. Thereare quite no disorder between the bits one and bit zeros. The QPQ-CD with evaluation of the QuantumCryptography is simulated to Matlab and all curve for this is represented in this article. The QAT andQHT have quite a similar performance.
Хранение электронных книг в библиотеках: сравнительный анализ различных графических форматов

The author begins with discussing the key provisions of document digitization. He characterizes the unified requirements of the National Electronic Library. Further, he analyzes the graphic formats for digitized copies (TIFF, JPEG, PNG). The advantages and drawbacks of each of the formats are discussed. Due to the rapid technologies advance and emergence of reader devices, the libraries that purchase now affordable HD-scanners can increase digitization efficiency with heavy graphic formats and to increase the rate of filling the servers’ storage. The modern text recognition technologies and programs enable to initiate collections digitization. Having analyzed the formats, the author expectedly asks the following question: how to use less resources for digitization and further storage without losing the documents cultural and historical value? To solve this problem, the author suggests to modify document classification and use text recognition technologies with further storing in files which would enable to use the text directly (TXT, DOC, PDF). The author concludes that there is the need for a new consistent technology deprived of the existing drawbacks.
Exploring the features of naturalist prose using LIWC in Nederlab

Naturalism is one of the best-studied literary movements in (Dutch) literary history. Ton Anbeek formulated in 1982 eight characteristics of Dutch naturalist fiction. Working within the digital library environment Nederlab, we test these characteristics by applying LIWC (Linguistic Inquiry and Word Count) to a corpus of naturalist fiction and a reference corpus of other fiction from the same period. We confirm some of Anbeek’s claims (naturalist novels are about nervous characters experiencing a process of disenchantment), fail to confirm some (we find no evidence for the role of determinism), and cannot test some others (e.g. the naturalist author despises bourgeois society). We do find some new ‘negative’ characteristics of Dutch Naturalism: subjects that occur significantly less in naturalist than in non-naturalist texts. Among these are words related to work, achievement and money. These findings intuitively fit with our idea of a naturalist character but require further study.
The Geology, Stratigraphy and Structure of Ma’an Area, South

This study focused on the geology, stratigraphy and structure of the Ma'an area at the coordinates: 350 30/350 45 / E 300 00/-300 15/ N. Field and laboratory studies have been carried out with aim to get a better understanding on the main geological features at the study area.Therefore, the importance of this study is due to the fact that Jordan is witnessing an expansion in investment in the extractive and exploration industries, and Ma'an Governorate is considered as a huge reservoir of mineral and industrial rocks that will play an important role on mining industries in Jordan.Rocks like phosphate, limestone, coquina, clay, dolomite, sandstone and different types of aggregates are the main source for many industries in the area.The study area is located at 210 km south of Amman and is covered mainly by sedimentary rocks.This study includes a detailed explanation of the sedimentary rocks covering the whole area, including the Ajloun group which consist the Wadi Sir Limestone Formation, and the Balqa group which consist the following formations: Umm Al-Ghudran, Amman Silisicified Limestone, Al Hisa Phosphorite, Muwaqqar Chalk Marl and Umm Rijam Chert Limestone, as well as the lake sediments which appear in different localities in the study area .The study also includes the most important geological structures, where the most prominent direction of these structures are the north-south, northeastsouthwest, northwest and southeast faults, with few folds in different parts of the region.
Pengembangan Media Pembelajaran Berbasis WEB Untuk Sekolah Menengah Pertama (SMP) Mata Pelajaran Ilmu Pengetahuan Sosial (IPS) Kelas VII

Social Sciences is the study of human life as an individual as well as social beings who interact with their environment. The media used still uses conventional methods in the form of books, modules, and lectures, so that it does not attract students 'learning interest and the students' learning motivation is low. Therefore new innovations are needed in the learning process. One of them is the development of web-based learning media for Junior High School (SMP) subjects in class VII Social Sciences (IPS) and testing the feasibility and effectiveness of the learning media in improving students' understanding. The research method and development model used for this study is the Research and Development (R & D) method. Data collection techniques used in the form of tests and non-tests. The data analysis technique used is the analysis of the initial data and final data to determine the feasibility and effectiveness of the learning media. To develop the2learning media through several stages, namely: Needs Analysis, Design Design, Implementation, Testing, Product Validation, Revision, Feasibility Test, Repair, Product. Based on the results of testing media experts obtain a decent category with an overall average of 74% while for material experts get a very decent category with an overall average of 88.5%. Based on the results of the pretets increased by 9.6 and for the increase in posttest results as much as 17.1. So the use of web-based learning media has an influence in improving student learning outcomes in Social Sciences (IPS) subjects.
How re-training process affect the performance of no-reference image quality metric for face images

The accuracy of face recognition systems is significantly affected by the quality of face sample images. There are many existing no-reference image quality metrics (IQMs) that are able to assess natural image quality by taking into account similar image-based quality attributes. Previous study showed that IQMs can assess face sample quality according to the biometric system performance. In addition, re-training an IQM can improve its performance for face biometric images. However, only one database was used in the previous study, and it contains only image-based distortions. In this paper, we propose to extend the previous study by use multiple face database including FERET color face database, and apply multiple setups for the re-training process in order to investigate how the re-training process affect the performance of no-reference image quality metric for face biometric images. The experimental results show that the performance of the appropriate IQM can be improved for multiple databases, and different re-training setups can influence the IQM&#x2019;s performance.
Pembangkitan Cahaya Virtual Dinamis Pada Augmented Reality Menggunakan Canny Edge Detection, Contour Finding Dan Unity Light Renderer

ABSTRACT&#x0D; In Augmented Reality, the object lighting factor becomes a matter of concern. Lighting of virtual objects that have been manually generated is considered less realistic. Real time dynamic light generation system is needed to make an Augmented Reality application more realistic. With the generation of dynamic virtual light, AR objects lighting can be generated at the position and intensity of light colors that match the light source from the real environment around the AR object. In this study a light generation system was made with reference to the color intensity of light and the direction of light in the real environment. Retrieval of the light source color is done by retrieving the color value of a pixel with the highest intensity of brightness.Retrieval of the position of the light source is done by determining the axis of the pixel on the marker image which has the highest brightness level. From the results of 1st experiment through 4th experiment, the percentage of position equality is 92.10% from the actual position. From the results of the color experiment, it was found that the percentage of the light color of the results compared with the color of the source light was 66.66%. Low percentage of color similarity caused by light reflection on high gray value on marker (&gt; 180), and other light sources that affect the light output generated by the Unity3D game engine in the simulation.
Multi-layer framework of identifying placenta related research towards Placenta Curated Research Dataset (PCRD) development for the PAT project

The placenta is a maternal-fetal organ that develops during pregnancy and provides nutrients, oxygen, and removal of waste products to the growing fetus. Better understanding of the placenta promises to help improve health of mothers and children, given its influence on health lasting a lifetime. However, the placenta is poorly understood due to its variability across different species and no live functions available after the baby is delivered. The Placenta Atlas Tool (PAT) project aims to leverage advanced computational approaches to meld numerous and diverse datasets into an integrated resource to encourage a “systems biology” approach for study of both normal and abnormal placental development and function throughout gestation. In this study, we introduced a multi-layer framework to automatically identify PAT relevant research from PubMed and develop a Placenta Curated Research Dataset (PCRD) to ultimately support placenta research. This framework functions by multiple well-known Natural Language Processing (NLP) components; including Medical Subject Headings (MeSH) based Naïve Bayes classifier, abstract based text similarity comparison and MeSH based article prioritization to systematically filter out PAT relevant research publications for further data curation. In addition, we developed a user-friendly web application to incorporate human judgement at the final stage of publication identification. We obtained 22,047 articles from PubMed, and programmatically identified 6086 articles that are highly relevant to PAT via our framework. To assess performance of the framework, we manually reviewed a random set of articles by using our web tool. Based on our review, accuracy of article classification is greater than 90% and accuracy of prioritization is greater than 80%. We developed a multi-layer publication identification framework to systematically identify PAT relevant publications from PubMed. This framework not only demonstrates good performance in identifying placenta related research, but also can be easily extended to support research in other scientific fields.
Research and Improvement of the Formula of Correlation Coefficient in Image Processing

The research of sub-pixel algorithm has always been a hot topic in the field of image processing.How to improve the accuracy of sub-pixel algorithm and reduce its error is difficult and difficult.This paper uses the digital speckle correlation method and the formula of the correlation coefficient of different powers to calculate the sub-pixel displacement of the image through MATLAB.The experimental results show that the higher-order formula is more stable and accurate than the lower-order formula.With the increase of the power, the error of the calculation result is smaller, and the error calculated by formula C 15 ZNCC is reduced by 21.66% than the error calculated by formula C ZNCC .Studies have shown that by increasing the number of powers of the correlation coefficient calculation formula can reduce the error of the sub-pixel algorithm.
Application of Airborne Gamma Spectrometry in Radioactive Contamination Investigation of Baiyan Obo Rare Earth Mine

Summary Airborne gamma spectroscopy measurements were carried out at the Bayan Obo deposit in Inner Mongolia with the aim of investigating radioactive contamination around the tailings dam. The measured results show that the main radioactive pollution elements in the rare earth mining area and tailings dam in Inner Mongolia are 232Th. The range of gamma total count higher than 140cps corresponds to the tailings dam in the Bayan Obo area, and the area with high total count rate is the eastern mining area of the Bayan Obo mining area, which is open-pit mining. The radio-nuclear uranium and thorium content plane contour maps show the same pattern. According to the on-site investigation, some anomalies sites on the contour may be related to the pollution of the local rare earth ore deposits on the ground and the surrounding rare earth processing enterprises. The aerial gamma spectrometry is a fast and effective method for environmental Radioactivity monitoring and evaluation.
Penggunaan Metode Demonstrasi Berbantuan Mega OTT Pemerintah Untuk Meningkatkan Aktivitas dan Prestasi Beajar

This research aims to improve the activities and achievements of the study material autonomous region through the use of methods of assisted demonstration Mega OTT Government. Research subject learners class 9B SMP Negeri 4 Salatiga Years Lessons 2017/2018. The research is the research of class action is carried out in 2 cycles. Data collection with the non-engineering tests and tests. An examination of the validity of the data by triangulation, checking with colleagues, friends and the use of an accurate reference. Data analysis with descriptive statistical analysis. Observation results against learning activities on cycle I achieve score 3.7 percentage of 73.6% and activity cycle II score 4.1 percentage 80% activity. The average value of the learning achievements of pre-cycle 66.7 number of learners who complete the KKM 30% from 30 children. The average results of achievement learning cycle I 80.0 and comprehensively reach 66.7%, KKM cycle II averaging 83.7 83.3% and finished the KKM. Thus declared the application of the method of demonstration Mega-assisted the Government can increase the activity of OTT and the learning achievements of students.
Identifikasi Tanda Tangan dengan Ekstraksi Ciri GLCM dan LBP

Signature identification with extraction features of GLCM (The Gray Level Co-occurrence Matrix) and LBP (The Local Binary Pattern) compare the results of both accuracy. By using signatures from 15 people, each of which has 10 signatures. For the training data, 7 signatures from each person were taken so that the training data amounted to 105 signatures. While the testing data was taken 3 signatures from each person so that the test data amounted to 45 signatures. From the results of image processing obtained the percentage using GLCM feature extraction is greater than the percentage using LBP feature extraction, namely GLCM reaches 86.67% and LBP 80.00%. But both remain at a high level of success. So it can be concluded that both GLCM and LBP feature extraction can be recommended to recognize signature textures. Index Terms —GLCM, LBP, Signature.
A novel objective quality assessment method for video conferencing coding

Most recently, due to the demand of immersive communication, region-of-interest-based (ROI) high efficiency video coding (HEVC) approaches in conferencing scenarios have become increasingly important. However, there exists no objective metric, specially developed for efficiently evaluating the perceived visual quality of video conferencing coding. Therefore, this paper proposes a novel objective quality assessment method, namely Gaussian mixture model based peak signal-to-noise ratio (GMM-PSNR), for the perceptual video conferencing coding. First, eye tracking experiments, together with a real-time technique of face and facial feature extraction, are introduced. In the experiments, importance of background, face, and facial feature regions is identified, and it is then quantified based on eye fixation points over test videos. Next, assuming that the distribution of the eye fixation points obeys Gaussian mixture model, we utilize expectation-maximization (EM) algorithm to generate an importance weight map for each frame of video conferencing coding, in light of a new term eye fixation points/pixel (efp/p). According to the generated weight map, GMM-PSNR is developed for quality assessment by assigning different weights to the distortion of each pixel in the video frame. Finally, we utilize some experiments to investigate the correlation of the proposed GMM-PSNR and other conventional objective metrics with subjective quality metrics. The experimental results show the effectiveness of GMM-PSNR.
PENINGKATAN KETERAMPILAN MEMBACA PEMAHAMAN BERBASIS PENDEKATAN ACCELERATED LEARNING DI KELAS V SD NEGERI 011 AIR EMAS KECAMATAN SINGINGI

Reading comprehension is a reading activity that aims to obtain adequate understanding and interpretation of the meanings contained in written symbols. the reading process is divided into three stages, such as pre-reading, reading, and post-reading. But the reality is that many of the students still experience difficulties in reading comprehension learning. Therefore, researchers applied an Accelerated Learning approach to improve students' reading comprehension skills. The results showed, the assessment of the process of reading students' skills for each assessment indicator was in the value range of 78.35% to 87.35% which was included in the good and very good category. While the results of the assessment of the overall reading skills process were 82.32% with a very good category. Based on the results of the study it can be concluded that learning based on the accelerated learning approach can enhance reading comprehension skills of students in class V of the Primary school of 011 Air Emas, Singingi District.