Reviewerly/exHarmony huggingface dataset:
The Exsistence of Economic Openness and the Strength of Real Exchange Rate

The important findings in this study are; First, economic openness in Indonesia is positively influenced by terms of trade and inflation, while in the Philippines it is positively affected by terms of trade and real exchange rates; Second, the strength of real exchange rates in Indonesia is positively influenced by money supply, net foreign assets, and economic openness, besides that it is negatively affected by inflation, while in the Philippines it is positively affected by the money supply; Third, economic opennes that affect the real exchange rate in Indonesia and the real exchange rate that affects the economic openness in the Philippines.
Using RAP Strategy to Teach Reading Comprehension in EFL Class

The reading ability of students in Indonesia is still low. The lack of students' reading comprehension is generally caused by ineffective strategies used by teachers in teaching reading. Students only do silent reading and are asked to answer questions from the text. This study aims to analyze the use of the RAP strategy to teach reading comprehension in EFL classes. This type of research is qualitative. This research is designed in the form of a literature study or literature study. Sources of data are taken from electronic books (e-books), research articles, and other relevant sources. The collected data is then analyzed through qualitative data analysis. Data analysis activities are carried out interactively, and the fourth stage is data collection, data reduction, data presentation, and inference/verification. The results of the study are that RAP strategies can help students to improve memory about the main ideas and details of specific texts, interactive reading strategies that offer many benefits for students in reading activities can help students in understanding texts as well as their reading comprehension, offering students opportunities to practice content, and can be done quickly by the teacher in the reading class. It can be concluded that the RAP strategy is the right strategy that teachers can use to teach reading in the classroom.
Design patterns for Angular Hotdraw

© 2019 Association for Computing Machinery. The number of web frameworks available for use is growing. Web developers need to learn how to use them effectively and efficiently. Working through the design patterns presented in this paper for the Angular Hotdraw application assists web developers in this task. Web developers should be able to make a start with a the Angular web framework and have a foundation to learn from.
Secure Data Aggregation Scheme for IOT Applications in Cloud

While Internet of Things (IoT) technology comprises of nodes that are self-configuring and intelligent which are interconnected in a dynamic network, utilization of shared resources has been revolutionized by the cloud computing effectively reducing the cost overheadamong the cloud users.The major concerns of IoT infrastructure are reliability, performance, security and privacy. Cloud computing is popular for its unlimited storage and processing power. Cloud computing is much more matured with the capability to resolve most of the issues in IoT technology. A suitable way to address most of the issues in IoT technology is by integrating IoTparadigm into the Cloud technology.In this regard, we propose a methodology of applying our EPAS scheme for IoT applications. In our previous work[2] , we have proposed an Enhanced Privacy preserving gene based data Aggregation Scheme (EPAS) for private data transmission and storage by utilizing Enhanced P-Gene erasable data hiding approach. Enhanced P-Gene scheme ensures secure transmission and storage of private data by relying on a data aggregation scheme fully dependent on erasable data hiding technique. In the current work we analyse the applicability of the EPAS scheme for IoT applications. Experimental results show the suitability of the proposed scheme for application involving numeric data and also demonstrates performance improvement with existing proposals for data aggregation in cloud.
Design of Efficient Complex Gate using 45nm Technology

In this paper, we designed complex gate which is having very good performance in terms of delay. This is achieved by increasing threshold voltage. The reduced delay and its percentage variation with respect to threshold voltage is shown below in the result analysis. Increasing of threshold voltage not only reduces delay but indirectly reduces leakage power consumption. Now-a-days Efficient Complex Gate using 45nm technology is preferable because of its delay and power.
THE AUNU GENERATED [ 7 4 ]-LINEAR CODE AND THE KNOWN [7 4 3 ] HAMMING CODE USING THE (U|U+V)

In this communication, we enumerate the construction of a [7 4 2]- linear code which is an extended code of the [ 6 4 1 ] code and is in one-one correspondence with the known [ 7 4 3 ] - Hamming code. Our construction is due to the Carley table for n=7of the generated points of was permutations of the (132) and (123)-avoiding patterns of the non-associative AUNU schemes. Next, [ 7 4 2 ] linear code so constructed is combined with the known Hamming [ 7 4 3 ] code using the ( u|u+v)-construction to obtain a new hybrid and more practical single [14 8 3 ] error- correcting code.
Analysis of psychometric data using statistical and machine learning methods

The objective of this thesis is to analyse the psychometric data using statistical and machine learning methods. Psychological data are analysed to predict illness and injury of athletes. Regression technique, one of the statistical processes for estimating the relationship among variables is used as basis of this thesis. We apply the linear regression, time series and logistics regression to predict illness and well-being. Our linear regression simulation results are mainly used, to understand the data well. By reviewing the results of linear regression, time series model is developed which predicts sickness one day ahead. The predicted values of this time series model are continuous. However, logistic regression can be used, to provide a probabilistic approach to predict the future levels as a categorical value. Hence we have developed a binomial logistics regression model, when observation variable is the type of dichotomous. Our simulation results show that this prediction model performs well. Our empirical studies also show that our method can act as early warning system for athletes.
Evolving Artificial Perception by Integrating Nlp and Cv

This paper discusses the concept of integrating artificial perception of an artificial intelligence by integrating NLP and CV, this should be able to solve 50% of problems where the data is usually in a raw format and not understandable by the machine. This method helps in the automatic labelling and understanding the data so it is easier for the machine to understand and help in our day to day tasks. “Perception is the ability to become aware of something which is internal or in the external environment through the use of the 5 senses” this is a natural capability of humans but has never properly been achieved in a machine. In the past five years massive strides have taken place in both natural language processing and computer vision but none of these advancements have increased the intelligence and perception of computer systems in the dramatic way that was expected. This difference in what was expected and what has finally been delivered is due to the fact that both these fields have evolved separately whereas perception requires these two dimensions of hearing (Natural Language Processing) and vision (Computer Vision) to be integrated.
Impact of Scrum Adoption on Enterprise in Transition for Software Development

In every product development companies should be aware about the quality and customer’s satisfaction of the product that they are developing. To get high quality product based on the customer and circumstances of development, suitable process model has to be used in development. Scrum framework is the one which focus on maximize flexibility and minimize transparency in project development. Most of the companies are going with Scrum as it is simple to use and it is a tool rather than process model. When new process models are chosen, they need to be adopted into the enterprise and has to go for a change. As adoption is a continuous process, at least for some period the behavior and new culture of the new framework has to be managed in its early days. When new concept is introduced there should be smooth transition from exiting to new ones. In this work impact of Scrum adoption in developing value-added card products and in financial services is discussed.
Sistem Informasi E-Learning AMIK Imelda Untuk Meningkatkan Mutu Pembelajaran

The limited time for teaching and learning in the room sometimes prevents lecturers from providing all subject matter to their students. This difficulty is often complained by students / lecturers at this time because not infrequently material that requires discussion in a long time it must be explained in a short time. So it is necessary to make an e-learning information system using PHP web programming and MySQL database so that teaching material can be accessed anytime and anywhere so that it can support the educational process by improving the quality of learning in AMIK Imelda medan
The Effect of Artificial Intelligence on Cybercrime

This study aimed to identify the impact of artificial intelligence on rates of cybercrime.This is due to the development of a number of technical crimes derived from information technology.Some criminals have tended to use modern technical means to commit their crimes, which has attracted the attention of lawyers, professionals, and specialists, who are working to find appropriate solutions to prevent and suppress such crimes.Therefore, many developed and Arab countries have rushed to thwart this phenomenon by legislating and enacting laws that prevent such crimes from being committed.The study relied on a descriptive analytical approach, in addition to a comparative approach.The study included three investigations, and focused on artificial intelligence, cybercrime, its legal nature, and its characteristics.The aims of the study were to identify the different types of computer crime and their relationship to the field of artificial intelligence, and to identify the position of Saudi and Egyptian legislation regarding combating IT crimes.The most prominent result was that artificial intelligence plays an important role in increasing cybercrime, which proves the validity of the study hypothesis.
An Application of Graphical Modeling to the Analysis of Intranet Benefits and Applications

Applications of multivariate statistical techniques, including graphical models, are seldom found in e-commerce studies.However, as this paper demonstrates, we find that probabilistic graphical models are useful in this area, both because of their ability to handle large numbers of potentially interrelated variables, and because of their ability to communicate statistical relationships clearly to both the researcher and the ultimate business audience.We show an application of this methodology to intranets, internal corporate information systems employing Internet technology.In particular, we study both the interrelationships among intranet benefits and the interrelationships among intranet applications.This approach confirms some hypothesized relationships, and uncovers heretofore-unanticipated relationships among intranet variables, providing guidance for business professionals seeking to develop effective intranet systems.The techniques described here also have potential applicability in other e-commerce arenas, including business-to-consumer and business-to-business applications.
THE FORMATION OF VALUE CONSCIOUSNESS OF STUDENTS IN POLYCULTURAL CONDITIONS OF PEDAGOGICAL UNIVERSITY

The article examines the impact of polycultural conditions on the formation of value consciousness in students. The author gives grounds for the idea that the practice of life in civil society, the functioning of its institutions is a relationship referring these or those values. It is proved that civil society is a place where college students can freely express their concerns, including proposals and strategies which have been developed by the government and administration of University; and the authorities can seek the opinion of students with specific issues; it is a place where the projects that imply students’ participation both in them and other public organizations are developed, monitored and evaluated.&nbsp
Underwater Moving Object Detection by Temporal Information

Underwater moving object detection is a critical task for many computer vision application such as object recognizing, locating and tracing. The low accuracy rate and absence of prior knowledge learning limits its application in various underwater application. This work proposes underwater moving object detection technique based on a temporal difference technique that extends basic frame difference method to multiple frames. The proposed technique does not require any prior knowledge such as background modeling nor interaction by user such as empirical thresholds tuning. Based on continuous symmetric difference of adjacent frames, we generate full resolution saliency map of current frame to highlight moving objects with higher saliency values. This process also aids in inhibiting saliency of background also. Individual frames are obtained from the video. Frame difference is calculated of two consecutive frames. Range filters are used to get edges of object and Morphological operations are used to suppress the noise present in the foreground. The proposed algorithm is tested for performance evaluation by performing various experiments under different conditions. The testing of proposed algorithm is done by visual and statistical parameters evaluated by simulation of different videos. Versatile Experiments have done to check performance of algorithm i.e. performance of proposed algorithm in low lighting conditions, performance of proposed method in case of shadow elimination, performance of proposed method in turbulent conditions, performance of proposed method in presence of multiple objects and performance of proposed method in case of false detections. In addition, comparison with most commonly techniques for object detection like GMM and Optical Flow is also done. The proposed technique provides effective results as contrast to GMM and Optical Flow
Relationship Rules with Word Vocabulary Writing Skills for Students

This study aims to describe the relationship between vocabulary mastery and short story writing skills of Class IX students of SMPN 1, Guguak District, Lima Puluh Kota. This type of quantitative research using the method of population correlation in this study is a class IX. The research sample was taken using a cluster random sampling technique of 22 people. With the results of the study showed that the vocabulary mastery of Grade IX students was in the category of good qualifications with an average value of 80.45 on a range of 86-95% on a scale of 10. Second, short story writing skills are in more than adequate qualifications with an average value of 73 on a range of 66-75% on a scale of 10. Third, there is a significant relationship between the two variables because t arithmetic is greater than t table 2.3091 greater than 2,086. From the results of these correlations it can be concluded that there is a significant relationship between vocabulary mastery of short story writing skills&#x0D; Keywords: mastery, vocabulary, writing skills, short stories
Pengaruh Minat Membaca dan Penguasaan Kosakata terhadap Ketrampilan Berbicara Bahasa Inggris Siswa (SMK) di Kecamatan Baso, Sumatera Barat

The research aims to analyze and discuss hypotheses regarding reading interest and word acquisition for the ability to speak English. The research hypothesis: Regarding interest in reading and mastery of shared words for English speaking skills. Related to interest in speaking in English, related mastering vocabulary words in English speaking skills grade. The research method used was a survey method with multiple regression analysis. The population of this research are students SMK Kec Baso Sumatera Barat Grade X. The results consider the fact that shows a significant interest in reading and vocabulary mastery in English speaking ability. This research summary is a positive publication of Interest in Reading and Vocabulary Mastery on the Capabilities of students.
From Scratch

Written in 2017 for acoustic guitar and electronics From Scratch reflects several years of my research upon the classical guitar sound's possibilities. The sonorities used came out from exploring the instrument in different musical contexts and languages as free improvisation, jazz, Brazilian popular music and classical concert music . From Scratch's main proposal is to integrate the vast sound range obtained by exploring traditional technics, extended technics, live processing and fixed media resources.
nteractive comment on“A comparativeassessment of the uncertainties of globalsurface-oceanCO2estimates using a machinelearning ensemble (CSIR-ML6 version 2019a) –have we hit the wall?”byLuke Gregor et al

The authors present a novel intelliegent interpolation method and a comprehensive analysis of current methods to intelligently interpolate pCO2 data (which then enable the calculation of global and regional atmosphere-ocean gas fluxes and net sink values).The analysis concludes that we are reaching the limit of improvement in these methods and that a increase in data coverage within those regions sparsely sampled is now needed to allow further advancement.
Securing Authentication Database of Online Voting System using PIN Based Lossless Image Secret Sharing Scheme

Voting is vital part of democratic country as it allows citizen to choose their own government. Government plays important role in progress of each country. Result of election is good if most of the people votes. In today's digital world, it is necessary to have secure online voting system at place which will save voter's time and motivate citizen to vote. Secure authentication is the main issue in online voting system. The authentication module should allow authentic voter to cast their vote. Even though secure authentication is provided, someone having access to authentication database may use it to get authentic entry into the system. Research in this paper shows new and secure authentication module which provides confidentiality to authentication database so that no one can use the authentication database to pass through the system. We have achieved this using PIN based image secret sharing.
Relational Characteristics of Maliciousness and Hacker in a Cyberattack

Cyber security threats are increasing day by day. However, this threat is sophisticated and intelligent. Therefore, artificial intelligence-based learning algorithms are emerging to effectively respond to cybersecurity threats. However, there has yet to be any interest or approach in studying the likelihood of an attack by efficiently analyzing the causes of the attack by individuals, religious groups, and hackers subordinate to state agencies. An idea in this study is to analyze hacker tendencies. And the link to how hacker tendencies affect attacks is being sought by the intelligence algorithm, which provides a sample of the predictive model as a preliminary study. Therefore, this study required a study on what an attacker's individual is influenced by, how a hacker subordinate to a religious group is affected by an attack from a religious group, and how a hacker subordinate to a national institution is affected by an attack from a state institution. In this study, however, we briefly focused on the factors that affect these attacks. In this study, we proposed an intelligent simplified model that predicts threats with the goal of producing results on whether or not an attack by combining the pattern of attack with inputs and weighing factors. Therefore, three groups of attackers were analyzed. From this, a simple intelligent algorithm model was presented The results of this study are expected to help derive the correlation between future hacker attack propensity analysis and intelligent algorithm. Future research will implement a threat analysis system that can more specifically derive attack propensity factors and apply them to intelligent algorithms (weights, f functions) to determine whether an attack is possible or not.
Future of Communication~Next Generation Network (NGN Network)

The Next Generation Network is not a overnight transformation, it brings the architectural change in telecommunication network, which has been elaborate in this paper. The basic idea behind this network is to transfer all PSTN, Internet, Mobile &amp; other information services into IP packets.NGN based on four layers: Access Layer, Core Layer, Control Layer &amp; Service Layer. And is based on IP (Internet Protocol) &amp; MPLS (Multiprotocol Level Switching) internet technology. The technological advancements in telecommunication is forcing a trend towards unification of network &amp; services, setting up a stage for the emergence of Next Generation Network -NGN. The Relocation to NGN diminishes arrange and operational multifaceted nature bringing about better and dependable assistance. NGN is a Self network&amp; is used for future generation for better transport technologies, systematic service creation, High modularity, high reliability, security &amp; QoS support. To discuss the fundamental of NGN for future aspect is the aim of this paper.
Assessing Environmental Impacts of Lithium Mining from Granites and Pegmatites

The demand for lithium (Li) is growing as a result of increasing electric vehicle production [1].To meet this demand, many new sources of Li will be developed [2].Currently, only 25% of Li is sourced from hard-rock deposits, mostly spodumene [3].Lepidolite and zinnwaldite are Libearing minerals likely to become important in the future.There is limited information on the environmental impacts of developing these deposits as they were not profitable in the past [4].Aside from Li, these micas contain large amounts of fluorine (F) and cesium (Cs, [5]), potentially harmful contaminants; Li is used in pharmaceuticals that stabilize mood swings [6], F causes fluorosis [7], and Cs may lead to cardiac arrhythmia [8].Our main hypothesis is that development of these deposits will increase leaching of these elements into the environment, and our work aims at understanding the maximum potential leaching.Samples of surface water, stream sediment, and granites were collected in the zinnwaldite-rich Cínovec Deposit, Czech Republic.Preliminary data for nearby streams reveals the existence of two distinct water types (sulphate, chloride), but no elevated levels of Li, F, or Cs.To understand the potential leaching of these elements, we are currently performing sequential extraction experiments with the sediment and the granites.The sequential extraction method simulates changes in environmental conditions (e.g., pH decrease, anoxia) and the associated potential leaching of elements.We expect to find increased leaching when probing sorption-desorption processes and changing redox conditions, which probably induces the release of elements bound to Fe and Mn oxides.Bringing Li micas to the surface through mining activities exposes them to weathering, and it is important to understand which environmental changes cause the most intense leaching of the elements of interest.