Reviewerly/exHarmony huggingface dataset:
Face Recognition based on Spatio Angular Using Visual Geometric Group-19 Convolutional Neural Network

In the booming era of face recognition, various challenges are arising owe to the changes in the characteristics of biometric identifications. In order to handle the uncontrolled situations caused by the variations of light, there are many algorithms are in practice. To capture the image with light intensity and also to detect the travelling path of light ray, plenoptic camera is used. The proposed work uses a framework of double-deep spatio-angular learning to recognize light filed based images that are the sample of spatial and angular information with the sequence of two deep networks. This proposed framework added the inputs from VGG-Face descriptions and computed the VGG-19 based convolutional neural network. The 2D Sub Aperture(SA) images, that are derived from the images captured from plenoptic camera are used to extract the VGG-Face spatial descriptions in various angles. Then Long-Short Term Memory(LSTM) is used to analyze the VGG-face spatial description sequence.The images are then compared with the data base and the result obtained result is efficient and accurate when compared to existing system.
Investigation of Consumer Behavior in the Context of Advertising Activity

The paper deals with analysis of consumer behavior in the context of advertising activity. We concentrated on the opinion on the quality level of advertising among respondents. In the framework of the discipline Mass communications and media planning, together with students of the specialty Advertising, we conducted a sociological study to determine the attitude of students to advertising and to identify their preferences. The purpose of this study is to determine the attitude of modern students of humanitarian and technical specialties to advertising and clarify their preferences. The object of the study was the subjects of perception of advertising (students of humanitarian and technical specialties). The study showed that, in general, students have a positive attitude to the media and advertising in them. However, among technical students, the percentage of people who are indifferent to advertising is 2.5 times more than among other students.
Geological Hazards Focused Geopark Proposal, Armenia

&amp;lt;p&amp;gt;This contribution refers to ongoing research project funded by the Government of the Republic of Armenia titled &amp;amp;#8220;Geopark as an impetus for sustainable economic development and environmental protection in Gegharkunik and Vayots Dzor Provinces, Armenia&amp;amp;#8221; currently implemented by the Institute of Geological Sciences of the Armenian NAS.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Tectonically and volcanically active territory of Armenia, located in Arabia-Eurasia continent-continent collision zone, is characterized by a complex geological history and the presence of a mosaic of different geological blocks and terranes, for instance, continental blocks, ophiolites and arcs merged together by long-lasting convergent plate geodynamics. The presence of internationally significant geological sites combined with rich archeological, historical and cultural context strongly supports the idea of establishment of Geopark in Armenia, also taking into account potential economic benefits both at country level and for more than one hundred local communities.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The suggested area for the first Armenian Geopark comprises several thousand sq.km, mostly in Gegharkunik and Vayots Dzor provinces. The selected area Geopark is unique also in its diverse mountain landscapes and volcanic landforms. Given the presence of active faults, volcanoes and significant examples of volcano-tectonic interactions, as well as certain well-pronounced evidence of hazardous geological phenomena, such as surface ruptures, Holocene volcanism, tectonically induced landslides, sedimentological and paleontological evidence of past mass extinction events, geothermal activity, etc., it is proposed to establish a Geopark focused on geological hazards.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Post-collisional volcanism is one of the key features of geology of Armenia and volcanological geosites play a significant role in the proposed Geopark, particularly, some of Pleistocene-Holocene volcanoes, lava flows, lava tubes, lava falls, crater lakes, as well as thick obsidian flows with records of Paleolithic use and other sites.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To date, 40 geosites, classified according to geological phenomena having an international or regional significance, have been selected and documented according to local experience and international approaches. Some of the selected geosites are characterized by a complex geological record, with a long history of research and multidisciplinary studies.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The proposed Armenian Geopark aims at wider sharing of the accumulated geological knowledge with society and attracting tourists as a factor of sustainable development. It is suggested that the establishment of Geopark in Armenia will strongly support the protection of rich geological heritage and geoconservation, contributing to sustainable management of protected areas and spreading Earth sciences oriented knowledge and education in Armenia and beyond, in the entire region.&amp;lt;/p&amp;gt;
PENERAPAN SKS DI MAN 1 MEDAN (Analisis Signifikansinya Dalam Percepatan Belajar Siswa)

The SKS in secondary schools is interesting innovation to research. This study aims to determine: 1) the application 2) significance for acceleration, and 3) supporting and inhibiting. This research conducted at MAN 1 Medan. The research method is qualitative with descriptive study model, the results is MAN 1 Medan applies SKS-B type where the principles: 1) gradually, 2) mapping student ability, 3) comprehensive assessment 4) use UKBM, 5) use 2013 Curriculum, 6) the teacher as facilitator, 7) students required take 6 semesters (51 JP /semester) with study period maximum 4 years, 8) provide PA. It’s found that the significance of acceleration student learning is still not visible even though the system allows it, the supporting factors: easy administration of preparation, good teacher response, parental cooperation and adequate facilities. While the obstacles: schools are still adjusting, online learning constraints and they still looking for the best pattern in implementing this SKS.
Detailing Explanations in the Recommender System Based on Matching Temporal Knowledge

The problem of matching knowledge in the temporal aspect when constructing explanations for recommendations is considered. Matching allows reducing the influence of conflicting knowledge on the explanation in a recommender system.A model of knowledge representation in the form of a temporal rule with the explanation constraint is proposed. The temporal rule sets the order for two sets of events of the same type that occurred at two different time intervals in time. An explanation constraint establishes a correspondence between the temporal order represented by the rule for a pair of intervals and the description of temporal dynamics for a given time period. This dynamic is represented by the explanation of the recommendation. The model is designed to match knowledge, taking into account the explanation constraint, as well as further use the matched knowledge to clarify explanations based on the results of the intelligent system.A method for clarifying explanations in a recommender system based on knowledge matching in the form of temporal rules is developed. The method uses records of purchases of goods, services or their ratings as input data. The method identifies a subset of rules matched in the temporal aspect, which represent the same dynamics of consumer demand for the target item (increase or decrease) as explanations in the recommender system. Matching of temporal knowledge makes it possible to form a refined list of explanations. This list includes basic and clarifying explanations. The basic explanation reflects the dynamics of user interests for the entire given period of time. Clarifying explanation specifies changes in demand for individual intervals within a given time period. The use of the temporal dynamics of user preferences in the explanation is aimed at increasing confidence in the received recommendations.
Unanswerable Questions Recognition by Semantic Discrepancy Detection

Machine reading comprehension (MRC) with unanswerable questions is challenging to the field of natural language processing research. Unlike previous work which ignores the mechanism of answerable and unanswerable, the semantic conflicts detection-based MRC network (SCDNet) was proposed aiming at detections of no-answer (NA) questions through semantic conflicts detection network. The basic idea is that if the given question is unanswerable, there exists semantic absence or conflicts between the question and the reference passages. Therefore, SCDNet predicts the NA probability by checking whether the passage covers the integral semantics of the question. Besides, in order to extract the exact answer from the passage, SCDNet is applied an answer length penalty in the loss function, which helps the learning objective to be more consistent with the evaluation metrics. SCDNet packs the NA question predictor and the answer extractor in a joint model and is trained in an end-to-end manner. Experiments show that SCDNet performs better than some strong baseline models, and achieve an F1 score of 72.43 and 76.96 NA accuracy on SQuAD 2.0 dataset.
Guides: Business Division Faculty Guide: Marketing and Sales Databases

Provides links to Western Library resources for students and faculty in the Business Division
The Integration of Forensic Accounting and the Management Control System as Tools for Combating Cyberfraud

Introduction: One of the major challenges confronting the development of any nation results from fraudulent practices among the citizens of the country. This is also true for the banking sector: business has become more complex with the recent developments in information and communication technology. This has changed the nature of bank fraud and fraudulent practices. Objective: This study investigates the integration of forensic accounting and the management control system as tools for combating cyber fraud. It is geared towards the minimisation of the cost of employed capacities for forensic and management control systems in order to mitigate cyber fraud. The study also explores the effect of integrating forensic accounting and management control systems on banks’ reputation and the huge loss of revenue resulting from cyber-fraud. Methodology: The study develops a conceptual model to show the relationship between forensic accounting, the management control system and cyber-fraud in the banking sector. A linear programming approach was employed to express the relationship amongst the variables considered in this study with a view to reduce cyber fraud, minimize cost and improve the reputation of financial institution (banks). This resulted in the formulation of a model which gives an idea of the feasibility of combining the components of forensic accounting, management control system and bank reputation in order to combat cyber fraud. This was validated using the genetic algorithm solver which resulted in an acceptable, a logical and feasible fitness value and penalty value. Findings: The ease of convergence of the fitness and penalty values of the solutions show that the developed model is feasible and suitable for achieving the set objectives. Conclusion and Recommendation: This study suggests that government should introduce a legislation that would ensure strict cybersecurity disclosure norms as this would defend companies’ critical assets as well as its anti-fraud programmes, while the banking sector should implement a control on fraud risk management to ensure reputation and regulatory compliance.
The Use of Youtube Video in Teaching English for Specific Purpose to Englsih Department Student at Universitas Muhammadiyah Surakarta

This study discuss about the use of youtube in English for specific purpose to English department student at Universitas Muhammadiyah Surakarta. The purpose of this study is how the implementation the use of youtube video in teaching English for Specific Purpose, the researcher interested with this issue because youtube is elearning videos a substitute several task and meeting in class English for Specific Purpose. The researcher also know about students toward E-learning with youtube video are they comfortable using learning English for specific purposes. Type of this research is descriptive qualitative. The researcher used interview to get data from the students, because the researcher want to know about students’ with E-learning with youtube video and interview is appropriate technique to collect the data. According to Abawi (2013) this may consist of more explanations being provided to clarify the question, as well as requesting the respondent to explain further if the answer provided remains vague. Subject in this research are The subject of the research is students of English education in Universitas Muhammadiyah Surakarta statement student’s who have taken English for Specific Purpose about the use of2youtube video.. The result of this research are: 1) Students’ feelings about experience 2) difficulties using Youtube video in English for Specific Purpose.
Desarrollo de aplicación móvil para generar competencias en los alumnos de la Universidad Tecnológica de San Juan del Río

Statistics tell us that at the end of 2017 there is a record of approximately 8 million applications on Google Play, Android in 2016 showed a total of downloads of applications of 90 billion; therefore users use an average of 9 applications per day and 30 applications per month. With the above statistics, the development of a Mobile Application on Android was carried out, which consists of randomly generating questions by selecting a grade with their respective response options, if correct, 5 points are awarded, otherwise 3 will be subtracted. The methodology applied was SCRUM, the project was carried out in 5 phases which were: planning meeting, daily scrum, development work during the sprint, sprint review and sprint retrospective. It was developed with programming languages JSON, JAVA, PHP and SQL database integration. In the end we got an apk that can be used on any device with Android 7.0 and above.
PEDAGOGICAL UNIVERSITY AND SECONDARY SCHOOL: CURRENT PROBLEMS OF INTERACTION

The article studies the problem of professional training of FL teachers in modern conditions. Special attention is paid to the formation of foreign language professional competence. Based on the analysis of the current competence deficits of FL teachers, as well as the use of data within the framework of the project of the national system of teacher growth (NSTG), it was found that more than 20% of teachers have insufficient methodological training in the context of the use of innovative pedagogical technologies. This determines the urgency of the problem of improving the quality of professional training and the need to find ways to solve this problem on a national scale. In accordance with the main indicators of program documents, there should be an increase in the level of professional skills of 50 % of pedagogical workers, the creation of a network of centers for continuous training in all regions of Russia, the participation of 70 % of teachers under the age of 35 in various forms of support and accompanying them in the first 3 years of work by 2024. As a research task, the authors identified an attempt to find the most favorable ways of interaction between a pedagogical university and secondary educational institutions. The characteristic features of the basic models of the basic school are highlighted and described. In the work the authors analyze the existing experience of cooperation with the school and focus on the resource center as one of the models of the basic school and the optimal form of interaction between the university and the school aimed at improving the professional training of teachers of foreign languages.
Research guides: GGR305: Biogeography: Finding Journal Articles

This guide will assist GGR305 students, as well as other geography students, when starting to look for and gather research for papers and assignments.
A new look at the geology of the White Pine Cu-Ag deposit and the Midcontinent Rift System

The White Pine Cu-Ag deposit in the Midcontinent Rift System (MRS) is one of the archetype sediment-hosted stratiform copper deposits, with an initial resource of ∼10Mt contained Cu metal. A reinterpretation of reflection seismic data shows the basin lacks many features characteristic of rifts such assyn-sedimentary faults and alluvial fans. Mineralisationis hosted in the ∼1.1 Ga Oronto Group, between braided fluvial sandstone and conglomerate of the Copper Harbor Formation, and siltstones and shales of the Nonesuch Formation deposited in an estuarine setting during a marine transgression. New stable isotope and petrographic data reveal the ingress of seawater into the Copper Harbor Formation aquifer that facilitated the leaching of metals from basaltic detritus during diagenesis. The mineral paragenesis suggests that rapid burial compaction of the aquifer, in tandem with incipient inversion, drove fluid flow. Formation waters reutilised earlier petroleum migration pathways, flowing towards the margins of the sag basin where they were focused by faults on the margins of a paleo-topographic high. Metals were deposited in a zoned sequence during thermochemical sulphate reduction across a redox front of liquid petroleum and in situ organic matter.
Novel feature set for automatic assessment and classification of breast tumor through back propagation artificial neural network

Breast cancer is a deadly disease having high mortality rate from several years. It is second and fourth leading disease in the world and India respectively as per the WHO. The conventional techniques are unsupervised to classify breast cancer that involves erroneous, laborious and demanding inevitable presence of clinician. It is also experimented on small dataset and the accuracy of the previous classifier methods was unsatisfactory. To overcome these problems, we have experimented on large dataset and extracted several features such as area, convex area, bounding box, eccentricity, orientation, solidity, and perimeter, contour based fractal dimension etc. These feature set describes the size and geometrical shape of the tumor. The increase in feature set leads to increase in the accuracy of the classification. The automatic classification is based on multilayer back propagation artificial neural networks (ANN) algorithm. The breast cancer tumors have an important clue in its boundary, hence analysis of that plays a vital role for better identification of disease. The dataset is split into training and testing data on an around 1700 samples using 80-20 rule with different neural network architectures. Hence the accuracy of 98.11% has been achieved in the classification rate. The successful classification depends on the quality of the enhanced mammograms, localization of tumor and accurate segmentation. The image samples from MIAS, DDSM and local hospitals had been involved in the experiment.
Exploring the Meaning of the Operation of the Revised Nuri Curriculum by Buddhist Early Childhood Educational Institution

Exploring the Meaning of the Operation of the Revised Nuri Curriculum by Buddhist Early Childhood Educational Institution - Buddhist early childhood education institutions;Buddhist Early Childhood Education;Revised Nuri Course
Entropy Based Parameter Estimation of 2D Gaussian Filter for Image Speckle Noise Removal

In this paper, a speckle noise suppression algorithm based on the 2D Gaussian filter is addressed, which employs entropy to estimate the filter's variance effectively. Speckle noise is an inherent characteristic of coherent imaging systems which degrades the quality of resulting images. Gaussian filter is a traditional approach for speckle denoising; however, estimating its optimum variance is still a challenge. Many algorithms have been developed to estimate the optimum variance but they suffer from the type of noise or a predetermined variance. Our proposed method demonstrates an improved 2D Gaussian filter since it estimates the optimum variance of the filter in the context of differential entropy between the noisy and filtered images under different p-norms. This optimum variance is directly estimated from the speckle noise level of image and it differs for different types of noise and images. The optimization problem is numerically solved, and also, the value of the norm order is appropriately determined. The blind estimation of norm order is also accomplished based on the level of noise variance. Finally, the proposed method's performance is appraised, utilizing both standard and real ultrasound (US) images. The quality of filtered images is assessed through the qualitative and quantitative simulations in terms of peak signal to noise ratio (PSNR), correlation coefficient (CoC), structural similarity (SSIM), and equivalent number of looks (ENL). The experimental results reveal the proposed method's proficiency in contradiction to state-of-the-art despeckling methods through the capability of strong speckle noise removal and preserving the edges and local features.
The Activation Series

This presentation discusses the development of the ‘The Activation Series’. Initiated in winter 2016-2017 this artistic method has led to the creation of the 5.1 surround sound installation 'I play Northern Lights' and the audio and video installation 'I play cement'. A third work is in progress in collaboration with Anders Hultqvist, Stefan Ostersjo and Gunnar D. Hansson, with the first output premiered at GAS festival in Sweden in autumn 2018 and a larger work set for premiere in 2019. The Activation Series falls under my PhD research which draws on exploration of agency, and the dynamics between the practices of performer, composer and curator in the field of contemporary music and sound art. Through various case studies I look at how an ecological perspective on musical practice can challenge current understanding of aforementioned agencies and what artistic methods can be employed to explore a fluid understanding of these roles. Furthermore; what possibilities does this technology hold when it comes to politics of listening and scholarship of ‘care’? The Activation Series unites my agency as composer, curator and performer and links to the usage of field-recording as a methodological tool. It brings a performer’s thinking-through- listening (Ostersjo, 2018) into different environments in order to explore ‘whether new aspects of the environment’s structure can be revealed’ (Stefansdottir & Ostersjo, forthcoming). The Activation Series is therefore an example of hybrid methodologies, as it looks at the musician’s role in exploration of environment, and thus questions her role in connection with society and tradition. The material outcomes can be understood as eco-systemic art, a field which holds a potential of prompting different understandings of the relation between artist and artwork, and hopefully also between the human and the natural environment. (Less)