Reviewerly/exHarmony huggingface dataset:
PENINGKATAN KETERAMPILAN MEMBACA BERORIENTASI STRATEGI TPRC (THINK, PREDICT, READ, CONNECT) DI KELAS VI SEKOLAH ASAR NEGERI 023 PULAU KIJANG KECAMATAN RETEH

The subject of this research was the students of class VI of the State Primary School 023 Pulau Kijang, Reteh District, which amounted to 11 people. This study aims to improve students' reading skills which are rooted in the strategy of think, predict, read, connect (TPRC). The results of this study indicate, the initial data of students on reading skills amounted to 59.7 in the medium category, in the first cycle, the average value of students' reading skills increased to 76.03 in the high category. while in cycle II, the average value of students' reading skills again increased to 88.9 in very high categories. The increase in the average value seen from the basic score to the second cycle is 29.2 points. These results prove that the application of the TPRC strategy can improve reading skills of students in class VI of the State Primary School 023 Pulau Kijang.
Bio-metric authentication using non-expanded inverted share image visual cryptography

A biometric authentication system operates by acquiring raw biometric data from a subject e.g., fingerprint and iris images. This original raw data is stored in the central database. Preserving the privacy of this digital biometric data has become very important. Visual cryptography can be applied to securing this information. The proposed work preserves the privacy fingerprint and iris-based authentication using Inverted Share image Visual Cryptography (ISVC). In ISVC, we invert one share image and stack it with another shared image to obtain the extra confidential data that can be used for authentication. In traditional visual cryptography, the size of the recovered image is expanded because of pixel expansion during encryption. This also leads to recovered image distortion. Therefore, the proposed scheme combines a non-expanded scheme with the extra ability to hide biometric data, such as fingerprint and iris image, in some cover image to maintain privacy. This will also solve the pixel expansion as seen in traditional visual cryptography
Optimised ML-based System Model for Adult-Child Actions Recognition

Many critical applications require accurate real-time human action recognition.However, there are many hurdles associated with capturing and pre-processing image data, calculating features, and classification because they consume significant resources for both storage and computation.To circumvent these hurdles, this paper presents a recognition machine learning (ML) based system model which uses reduced data structure features by projecting real 3D skeleton modality on virtual 2D space.The MMU VAAC dataset is used to test the proposed ML model.The results show a high accuracy rate of 97.88% which is only slightly lower than the accuracy when using the original 3D modality-based features but with a 75% reduction ratio from using RGB modality.These results motivate implementing the proposed recognition model on an embedded system platform in the future.
Investigate on the Determinants of Economic Growth in Ethiopia

The study examines the macroeconomics determinants of economic growth in Ethiopia measured by real gross domestic product (RGDP).We used time series data for a period of 27 years that is 1991 to 2017.Augmented Dickey-Fuller (ADF) test was used for the unit root test and the Autoregressive Distributed Lag under Bound test was also conducted to establish short and long run relationships between economic growth and its macroeconomics determinants.The result shows that there is co-integration, which establishes the existence of long run relationship among the variables.The results show that gross fixed capital formation, total labor force, total government expenditure and foreign direct investment are the main determinants of Ethiopia economic output in the long run where us total labor force and foreign direct investment are the main determinants of economic growth in Ethiopia in the short run.The study recommended that there is need for government to consciously develop the business environment by provision of necessary infrastructure, which will lower the cost of doing business in Ethiopia.There is also the need for the government to retain tight monetary and fiscal policies in order to fight inflation in the Ethiopian economy, since inflation have negative influence on investment and Ethiopia economic growth and finally, There is needs to put stringent policy in place to minimized strike in Ethiopia labor sector in order to enhance their performance to the nation economy.
Single view vs. multiple views scatterplots

&lt;span lang="EN-US"&gt;Among all the available visualization tools, the scatterplot has been deeply analyzed through the years and many researchers investigated how to improve this tool to face new challenges. The scatterplot visualization diagram is considered one of the most functional among the variety of data visual representations, due to its relative simplicity compared to other multivariable visualization techniques. Even so, one of the most significant and unsolved challenge in data visualization consists in effectively displaying datasets with many attributes or dimensions, such as multidimensional or multivariate ones. The focus of this research is to compare the single view and the multiple views visualization paradigms for displaying multivariable dataset using scatterplots. A multivariable scatterplot has been developed as a web application to provide the single view tool, whereas for the multiple views visualization, the ScatterDice web app has been slightly modified and adopted as a traditional, yet interactive, scatterplot matrix. Finally, a taxonomy of tasks for visualization tools has been chosen to define the use case and the tests to compare the two paradigms.&lt;/span&gt;
Designing Mini Master Plan For Developing E-learning Content In Project Management Course (case Study : Project Procurement Knowledge)

Abstractâ€” The application of smart technology must be undertaken to achieve innovative learning and challenge of the era industrial revolution 4.0. Telkom University especially at the faculty of Industrial Engineering has applied the concept of E-learning in several courses. Therefore, the amount of material make students difficult in understanding project management materials. The design of e-learning content is very important because it affects the level of understanding of students to project management course The author tested the design of e-learning content at the procurement knowledge area of Project Management. The media chosen to make e-learning content is video. The first step that needs to do before making a video learning is to make a project management plan. Planning can maintain the project under control and help everyone to participate in right way. To meet costumer expectation, design sprint is needed for generates idea from team member to developing E-learning content. The result of this study, student performance has increased after watching the video learning about the project procurement knowledge.
Patrick Kiernan, Language, identity and cycling in the new media age: Exploring interpersonal semiotics in multimodal media and online texts. Basingstoke: Palgrave Macmillan, 2018. Pp. xv, 306. Hb. $90.

Patrick Kiernan, Language, identity and cycling in the new media age: Exploring interpersonal semiotics in multimodal media and online texts. Basingstoke: Palgrave Macmillan, 2018. Pp. xv, 306. Hb. $90. - Volume 48 Issue 2
Алгоритм быстрого вычисления локальных гистограмм изображения на видеокарте

An algorithm of parallel computation of image histograms of different types, including brightness and oriented gradient ones, on video cards of various types is presented. Now local histograms are used for solution of some tasks of image processing and recognition, but their application is restricted due to the long computational time. One of the difficulties appearing during parallel computations of this vector feature is the large number of conflicts of simultaneous access to video memory sells. In the developed version, the number of conflicts of simultaneous access are many times reduced. It accelerated the computations. For instance, 9D vectors of histograms of oriented gradient for all 256×256 windows of a HD image are calculated on the GPU NVIDIA GeForce GTX 1060 within 1,9 msec, whereas the same computations made by the CPU Intel Core i7-6700 take 151 msec.
IMPLEMENTING SENSE-BASED STRATEGY IN TEACHING VOCABULARY TO THE SEVENTH GRADE STUDENTS OF SMP NEGERI 33 MAKASSAR

The objective of this research was to find out whether or not Sense-Based Strategy significantly enriched the students’vocabulary masteryin terms of meaning, spelling, pronunciation, and usage.This research employed quasi-experimentaldesign.The population of this research was the seventh-grade students of SMP Negeri 33 Makassar, which consisted of ten classes in 2013/2014 academic year. The total number of population was 300 students. The researcher used a cluster random sampling technique to take the sample. Therefore, the sample of this research consisted of one class asexperimental group and one class as control group. The samples of each class were 30 students.The research data was collected by using vocabulary test to get the students’ vocabulary achievement in terms ofmeaning, spelling, pronunciationand usage, which were analyzed by descriptive and inferential statistics through SPSS version 20 for windows program. The findings of the research revealed that the students’ result of posttest of the experimental group and the students’ result of posttest of the control group were different by the mean score 67.69 > 48.50. Besides that, the mean score of experimental group in term of meaning in posttest was 74.07, the mean score of experimental group in term of spelling in posttest was 66.03, the mean score of experimental group in term of pronunciation in posttest was 59.67, and the mean score of experimental group in term of usage in posttest was 71.00. Therefore, the findings showed that the “meaning” aspect was higher than the three other aspects. In addition, the difference of both scores was statistically significant based on the t-test value at significant level 0.05 in which the probability value was lower than the significant level (0.00 < 0.05). Therefore, H 1 was accepted and H 0 was rejected. Furthermore, it can be concluded that implementing the Sense-Based strategy in teaching vocabulary was significant andeffective to enrich the students’ vocabulary in terms of meaning,spelling, pronunciation and usage.
Efforts Integrating Blockchain with Intellectual Property

Intellectual property-centric businesses have been increasing their involvement with blockchain companies and technologies in recent years. The incorporation of this technology into numerous industries could lead to exceptional opportunities for valuation, litigation, and licensing of new patents and intellectual property. Perhaps the most interesting application of blockchain technology for IP professionals, though, will be within the IP space itself. Numerous organizations and efforts supporting the development and integration of blockchain in the IP world are emerging. This article intends to describe the limited number of organizations that are active, or are publicly promoting plans to become active, in this space as well as what they plan to accomplish.
Risks Mitigation of Defacement Attack Vectors on Educational Institution Websites by Using OWASP and Risk IT Frameworks

According to an article published by The Hacker News in 2006 [1] 21.549 websites defaced by Turkish hacker team, Iskorpitx. It was the largest defacement in web history. Zone-h, the largest defaced website archives [2] listing 11.107.846 websites became the victims of defacement attack. So how about educational institution websites? Are they become the target of defacement attack? In point of fact, University of Maryland, North Dakota University, Butler University, Indiana University and Arkansas State University became the victims of data breach by malicious attacker, the data breach was larger than data breach attack on Sony [3]. After analysing the data filtered from Zone-h archives, we retrieved that the defaced websites belong to educational institution in ASEAN countries; Indonesia (11.615 websites), Malaysia (3.512 websites), Singapore (312 websites), Vietnam (3.294 websites), Thailand (9.860 websites), Brunei Darussalam (30 websites), Cambodia (65 websites), LAO PDR (9 websites), Myanmar (6 websites), Philippines (978 websites) have been efaced in 2015. This paper will analyse the motive, attack methods, risks, impacts and mitigations of defacement attack in educational institutions. MECEES, OWASP and Risk IT will be used as framework. Hacked educational institutions will lead to critical risks .
A Benchmark of Statistical Models for Forecasting Monthly Direct Normal Irradiation (DNI) for the Region of Ouarzazate Morocco

The forecasting of monthly average Direct Normal Irradiation (DNI) is explored.Â  A benchmark of statistical forecasting models is used to select the best statistical forecasting model. Seventeen models are evaluated and compared, namely Trend models, Box Jenkins models and Exponential Smoothing models.Â  The satellite data used are of the period extended from 1994 to 2012 for the region of Ouarzazate in Morocco. The daytime period is from 07h30 till 17h30.The design region of the models is from 1994 to 2009 divided into an estimation period and a validation period.Â  Data from 2010 to 2012 are used as forecasting years.Â  Several error metrics are used for performance evaluation and comparison. The results indicate that a seasonal ARIMA model outperforms the other statistical models with a good forecasting accuracy.Â
A Survey on Face Detection and Classification for Partially Occluded images

In today’s world of digitization, the major issues isauthentication and identification. Face recognition on occludedimages has many potential applications which have attractedthe attention of researchers in the last decade. In real timeapplication, face recognition is the vast research area to dealwith problems like not proper illumination, partial occlusion,low-intensity images, and external occlusion by another face, etc.Occlusion means hiding the object by another object, e.g. facecovered with a scarf, wearing glasses, beard, cap, mask, etc. is oneof the greatest challenges in face recognition system. In this paper,there are four types of generally using system: face detection,extraction, classification, and recognition. In the Existing system,it is not so much identify the exact face of a person. In thisproposed taking the different methods for face detection andrecognition for occluded images. The main purpose of this paperis to comparative study analysis of the different methods for facedetection and recognition on partially occluded images.
Society of Indexers conference 2018: change and continuity

Ann Kingdom reports on the Society of Indexers (SI) conference, held at the University of Lancaster on 9–10 September 2018.
Training Quantized Network with Auxiliary Gradient Module.

In this paper, we seek to tackle two challenges in training low-precisionnetworks: 1) the notorious difficulty in propagating gradient through alow-precision network due to the non-differentiable quantization function; 2)the requirement of a full-precision realization of skip connections in residualtype network architectures. During training, we introduce an auxiliary gradientmodule which mimics the effect of skip connections to assist the optimization.We then expand the original low-precision network with the full-precisionauxiliary gradient module to formulate a mixed-precision residual network andoptimize it jointly with the low-precision model using weight sharing andseparate batch normalization. This strategy ensures that the gradientback-propagates more easily, thus alleviating a major difficulty in traininglow-precision networks. Moreover, we find that when training a low-precisionplain network with our method, the plain network can achieve performancesimilar to its counterpart with residual skip connections; i.e. the plainnetwork without floating-point skip connections is just as effective to deployat inference time. To further promote the gradient flow during backpropagation,we then employ a stochastic structured precision strategy to stochasticallysample and quantize sub-networks while keeping other parts full-precision. Weevaluate the proposed method on the image classification task over variousquantization approaches and show consistent performance increases.
합리적 무지 대 합리적 유지 : 합리적 무지론의 관점

Typical citizens fall into the state of rational ignorance as they have no incentive to study the nature of public goods, public affairs or public policies in detail. This paper contrasts ‘rational ignorance’ with ‘rational informedness’ from the perspective of the theory of rational ignorance, and identifies its negative effects. To this end, we explain the “phenomenon” of rational ignorance by two approaches, and then examine its major negative impacts. Then, based on the analysis, we propose incentives for typical citizens or voters to be rationally informed. First, we explain the phenomenon of rational ignorance in terms of the distribution of the benefits and costs of public programs, imperfect information, incentives for voters to be rationally ignorant, and political success. Second, we examine the theory of rational ignorance based on both the vote value and the logic of collective action. Finally, we identify the negative effects of rational ignorance in terms of the democratic paradox, ideology, and interest predation. Rational ignorance of typical citizens not only leads to the inequality in benefits distribution, which is the paradox of democracy, but also allows a small number of people to rob many citizens of their interests. In addition, typical citizens tend to rely on the ‘ideology’ that they have adopted when they make decision on public affairs, rather than trying to become rationally informed of them. Thus, the analysis of the present paper suggests that, for democracy to function properly, typical citizens and voters should make due efforts to be rationally informed.
Benefit and Risk Assessment for Having Disaster Recovery in Cloud Computing for Banking Industry: Go/No-Go Decision Making Model

Over the past year, we all have been showed many cloud-based solutions for so many purposes, starting from the public storage facilities to the disaster recovery solutions. We have learned that enterprises need to pay more attention to the cybersecurity, especially for the banking industry. The bank needs to encompass all that protects the bank from the attacks, breaches, disruptions, and incidents and also the consequences, but still need to reduce costs. So as the result, the solutions need to be aligned with all of the other aspects within the bank, which include the governance, management and risk assurance. The idea of having the disaster recovery in the cloud have to also consider the information security aspects, as the bank is trying to get the maximum benefit that the bank can get from the cloud like to minimize the cost needed by the bank’s activities, but still need to consider the results of the risk assessment as one of the requirement in implementing the cloud solutions. The other thing that the bank has to consider is the compliance aspect.
Fixing Yesterday’s Solutions: Data Cleanup in Serials Solutions 360 Core

Managing electronic serials is a vital part of modern academic librarianship. In 2014, the College of Staten Island (CSI) faced a serious serials access problem. A number of subscribed titles were temporarily not accessible through library interfaces. To quickly solve the problem, a set of over 5,000 custom records were uploaded (using Microsoft Excel) to Serials Solutions 360 Core, CSI’s serial management system. This solution provided access to current and back-file (perpetual ownership) titles but introduced a number of significant new problems, including duplicate records, records with holdings dates that were invalid at the end of the calendar year, back-file records that were difficult to identify or edit, and unmanageable sets of records for large subscription packages. This article will describe how and why the custom records caused these issues and describe the project that addressed them. The project (ongoing) was designed to fix the problems while maintaining access to all current and back-file titles during the process. A variety of techniques were required. Vendor-provided knowledgebase records were examined, activated (or deactivated), and downloaded. The Overlap Analysis tool of 360 Core was employed to match knowledgebase and custom (local) records. The custom records were manipulated in Excel for examination, editing, and batch deletion. Excel formulas were used to compare the custom records with vendor knowledgebase records and Overlap Analysis results. Finally, extensive manual work was done to delete records, test access links, and find unmatched records. These techniques have been successful. The project also reaped other unexpected access improvements. Other libraries may apply these techniques and strategies to any serial data clean-up. Although journal management technology is rapidly changing, libraries will still need to be able to work with and manipulate data to provide access, understand and manage their holdings, and audit error-prone vendor data.
Genesis of thinking in the context of non-classical epistemology

In the classical directions of epistemology and psychology of the XIX–XX centuries the problem of the Genesis of thinking was formulated as a problem of explaining the qualitative transition from visual-sensual to mediated abstract-conceptual reflection. At the same time, in the modeling of such a transition, firstly, thinking was either reduced only to sensual-figurative forms (for example, behaviorism, Gestalt psychology, etc.), or interpreted as non-sensual (for example, the Wurzburg school), and secondly, the idea that such a transition is directed exclusively by socio-cultural determination (practice, work, communication, etc.) prevailed. At the turn of the XX — XXI centuries the theoretical context of this problem has significantly expanded due to psychological and epistemological concepts, in which the formation of knowledge is considered in the context of biological evolution, the principle of activity, information and operational models of intelligence, etc. On this way theoretical models in which transition from an image to thought consists in transformation by the subject of sensual imagery by means of operational influence on an image which are extracted from the imagery and fixed by signs of language are developed. With this approach, the Genesis of thinking appears as the formation of a system of interaction of operands (what is and secondary, their fragments, their combinations, abstractions, idealization, etc.) and operations on them. The formation of such a system is guided not only by socio-cultural, but also by natural and biological determinants. In the Genesis of thinking there are three stages: the formation of the prerequisites of operational activity in the psyche of the higher primates; the origin of mental operations as derivatives of subject action; interiorization of thinking. directed to the operational activity of the subject — sensual images, primary