Reviewerly/exHarmony huggingface dataset:
Protagonist and Choice of Digitalization of Administration Amenities in Rightful and Viable Change of Country Finances

With the advent of internet at the start of the century to the recent change, internet of things ie; digitalisation and integration of infrastructure, has proven itself to enhance social and economic productivity. Amongst these technological advancements, country finances lagged behind which includes majority of human populous. Recently global economy faced slump despite thee advancement. The need of the art is to enhance and enrich country finances and bring them to terms with global standards and practices. This could be done by giving country finances impetus by providing knowledge of global scenarios i.e.; democratization of the country economy. Country finances are environment friendly by and large, therefore sustainable. Thus, there is need of developing technology central country economy which promotes micro and small enterprises, exploring new avenues for them and world for sustainable devotement. This initiative could bring substantial change to eliminate multi-dimensional poverty in the world, especially SAARC countries. In the light of aforementioned fax, the study tries to focus on role of digitization of administration services to bring the country finances, especially SAARC countries into world economy grid. An attempt also to explore the various benefits it had bring to country finances of the SAARC region along with the new frontiers that the digitalisation has opened for country finances to conquer.
Contributing Factors to Drug Abuse among Girls in Secondary Schools in Nakuru County, Kenya

Introduction and BackgroundAccording to the United Nations (2015), the use of illicit drugs has increased throughout the world and the major world trend is the increasing availability of many kinds of drugs among ever widening spectrum of consumers.Of major concern is that children seem to be targeted as the new market for the drug industry globally.According to United Nations Office on Drugs and Crime (UNODC) Surveys on drug use among the general population showed that the extent of drug use among young people remains higher than that of older people.Alcohol is the most commonly used substance by students globally.It is contained in an array of beverages.Most research suggest that early(12-14 years old ) to late ( 15-17 years old)adolescence is a critical period for the initiation of substance use and that substance use may reach its peak among young people aged less than eighteen years.Drug use among young people differs from country to country and depends on socio-economic circumstances of those involved.According to, National Institute on Alcohol and Alcoholism (2015) in United State of America about 25% of students experience difficulties in academics due to drug use.Such difficulties include; -attaining low grades in exams, doing poorly on continuous assessment tests, failing to complete assignments given by the teachers and falling behind the syllabus coverage due to frequent absenteeism.Center on Addiction and Substance Abuse (CASA) suggests that adolescent girls may progress to substance abuse more quickly than adolescent boys and that the health consequences of that abuse are more severe.The Center, in a published report noted that the formative years (Ages 8-22) offers some of the unique risks that adolescent girls may face, and that may make alcohol and other drug use more dangerous (CASA, 2015).Girls are more likely depressed than boys, and this can increase the likelihood of substance abuse.Substance use can lead to abuse and addiction more quickly for adolescent girls than boys, even when the same amount of a particular substance is consumed by both (CASA, 2015).Girls may be more vulnerable to the effects of drug and alcohol abuse than boys and require personalized help to bounce back from addiction.According to CASA report, if the U.S. had prevention and treatment programs tailored to the needs of girls and young women, the number of adult women who abuse alcohol, drugs or smoke could have been reduced by about 25%.In
Multi-level Graphical Password Authentication Scheme for Cloud (MGPASC)

The usage and management of information technology resources and services are revolutionized with the arrival of Cloud Computing. But, the revolution always comes with problems. Authentication is one such problem. Especially for Graphical Password Authentication System, there is a threat of shoulder surfing attack. This research presents a multi-level graphical password authentication mechanism by extending an existing method. UGPSCCCT (User guided Graphical Password Scheme for Cloud using Caesar Cipher Technique) is the existing method and this method is extended in this paper such that another level of security is added. The user credentials in this method are transmitted to the server in encryption format. A key is generated for every login to encrypt user details. The analysis of the proposed method is done by calculating the computational cost and communication cost of the proposed method.
Secure Data-Encryption Strategy for Big-Data in Mobile Cloud

Now-a-days data plays a key role in Information Technology and while coming to privacy of that data it has become a considerable issue to maintain data security at high level. Large amounts of data generated through devices are considered as a major obstacle and also tough to handle in real time scenarios. To meetwith consistent performance applications at present abandon encryptions techniquesbecausethe time for the execution and the completion of encryption techniques plays a key role during processing and transmissions of data. In this paper our moto is to secure data and proposed a new technique called Dynamic Data Encryption Strategy (DDES)which selectively encrypts data and uses some algorithms which provides a perfect encryption strategy for the data packages under some timing constraints. By this method we can achieve data privacy and security for big-data in mobile cloud-computing by using an encryption strategy respective to their requirements during execution time.
Dependence of Rainfall on Solar Activity Features

In the present paper, we have studied the statistical analysis between all India homogeneous rainfall (RF) with sunspot number (SN) during 1900-2014 (115-year period). We have calculated correlations coefficient of rainfall with sunspot number (SN) for annual and seasonal months: January, February (JF); March April May (MAM); June July August September (JJAS) and October November December (OND) and we have obtained high correlation ranging between 0.75 to 0.95. Our results show that rainfall is strongly influenced by sunspot number. Our study also indicates that occurrence of solar activity features play an important role for variability of rainfall.
CLASSROOM INTERACTION IN THE ENGLISH SUBJECT FOR THE TENTH GRADE OF SMA N 1 SALAK PAKPAK BHARAT

This study aimed at finding out the categories of teacher and students talk and the percentage of teacher and students talk during classroom interaction. This study was conducted by using descriptive qualitativedesign. The subjects of this study were the tenth grade students of SMAN 1 Salak and the English teacher who taught at that class in 2017/2018 academic year. The data were the utterances of both teacher and students during the classroom interaction process which were collected by using observation and recorded by using smartphone and recorded it about three meetings.The data collected were analyzed by using Flanders Analysis formulate. The findings of the study showed Analysis showed, there are ten categories of students and teachers talk that could be found during the classroom interaction and the percentage of each of category was: 2,05% for accepting feeling, 5.88% for praising and encouraging, 5,29% for accepting students’ ideas, 11,17% for asking question, 11,76% for lecturing, 8,52% for giving direction, 14,41% for criticizing, 32,35% for students talk response,6,17% student talk initiation and2,35% for silence and confusion.so the teacher talk percentage was about 60,3% and 38,52% for student. Keywords: classroom interaction, Flanders interaction analysis category system
DIALOGICAL PEDAGOGICAL INTERACTION IN THE CASE OF DISTANCE LEARNING

The purpose of the article is to study the issue of the possibility of implementing dialogical pedagogical interaction in the context of distance learning. The problems which the universities faced during the period of distance education are analyzed. The results of the students’ interview show that the majority has a positive attitude towards the introduction of distance learning technologies, but at the same time the traditional learning model must be preserved in general. The concept of pedagogical communication is given. In conclusion we can say that at the current stage the effective dialogical pedagogical communication is possible only with the traditional format of education.
FLAHP Methodology to Adopt towards Cloud Computing

In Cloud Computing Environment (CCE), to connect the relationship with multi-dimensional, novel methodologies are expected to improve the conventional development approach. In general, numerous frameworks become legacy system because today’s programs use latest technologies like object-oriented model (OOM) and user requirements change from time to time. To help the legacy system appraisal to satisfy those alterations dependent on CCE highlights, an evaluation technique dependent on the Fuzzy Logic Based Analytic Hierarchy Process (FLAHP) is designed in this study. Fuzzy is a reasonably necessary positioning technique for origination and application when contrasted and for the other multiple criteria decision-making strategies. FLAHP procedure is proposed to conclude the legacy system appraisal from the related viewpoints. FLAHP gives a reasonable and exhaustive system for organizing a choice to communicate and measure components for making the OOM correlations and utilizing complex information about the components depending on the selected criteria. The object-oriented legacy ERP assignment (OO-LERA) framework is the initiated model for the restructuring process. Reengineering legacy system to Modern OO-LERA functionalities incorporates the source code reflection from legacy system. Presented here Legacy Migration Platform Verifier (LMPV) for legacy system transformation. As the name suggests, LMPV checks the OO-LERA indeed for fulfillment of its client’s necessities. The FLAHP is applied to a Banking System Management in result and discussion section.
Monitoring and Tracking Group Traveler Application Using GPS Technology

Tourists who engage in recreational activities in a tourist area often use travel tours. They come to tourism destinations in groups and use travel tour services to lower travel expenses and make travel smoother when they are guided by the tour leader. Tourists sometimes fail to appreciate the environment in the recreation area so they enjoy the beauty of the tourist attractions so that they are far away from the community and want to know the location of the tour group or tour leader again. Travel management also needs to know the status of the tourist community it manages. Besides, travel management needs to know the route followed by the tour leader to ensure that the employees are on the path set by the organization. To help overcome this issue, a mobile and web-based application has been created in this research. Mobile Android-based apps are used by representatives of tourist groups and tour guides at tourist attractions. In the meantime, travel management uses web-based software to track the movements of their tour leaders. This application was built using the Unified Process (UP) software development system, which has four phases, namely inception, planning, construction, and transition. The key facility in this application is to see the list of names of the group members managed by the team leader, to see the location of the members of the tourist group on the google map and to see the route followed by the tourist group. This application is quite helpful for travel management and tour guides in monitoring the movement of the tourist group they handle.
Chronic Disease Tool to Find Risk using Naïve Bayes Algorithm

Significant for better infection the overseers, propelled interventions, and authentically effective valuable gatherings help dispersing. Exceptional AI approaches have been connected bits of knowledge in cutting edge prosperity document for this task. A variety of past undertakings, at any rate, based on formed fields and loses the incredible bit of assurances intimate the unstructured notes. On this artworks we exhort an exquisite play out phenomenal undertakings framework for perplexity beginning decision that links each free substance medicinal notes and took care of estimations. We view execution of balanced critical acing systems nearby LSTM, CNN and interesting leveled designs. Rather than standard substance based absolutely decision shape, our device does never again need misery unequivocal factor creating, and may manage nullifications and numerical qualities that exist inside the material. Our outcomes on an amigo of around 1 million sufferers show off that models the utilization of material defeat models utilizing basically made estimations, and that structures organize for the use of numerical traits and refutations in the substance, independent of the troublesome material, nearly advance performance. But, we watch changed commonness procedures for valuable pros to get to the base of variant estimates.
Data Processing System for Remote Sensing Satellites in Private Cloud Environment

In this paper we present a customized cloud setup for Image processing of data acquired from Earth observation satellites. To produce greater extent varieties of larger datasets and to drive the information from datasets, remote sensing data processing needs to be equipped with an improved platform. Cloud Computing proves to be a good option; this digital engineering platform has increased application potentialities in terms of functioning, elastic resource management and collaborative executive approach. The satellite images acquired at ground stations from various satellite sensors are archived in traditional data centres for data products generation and further analysis used in applications. Here, we discuss one such data processing systems based on the implementation of direct data processing on multi core servers in data centre and analyse the limitations such as underutilization of physical compute resource, dynamic scaling of resources, management and maintainability. A Cloud Infrastructure was initiated and deployed to address the above limitations and to demonstrate how applications can use the resilient hardware architecture and continue well-functioning. Smart dashboards and control panels that aids in better cloud resource management and monitoring. Billing in terms of development cost and running cost of services.
Computer Linguodidactics in the System of Innovative Language Education

One of the most important tasks of innovative language education and language policy of Russia is to comprehend the Russian language as a powerful factor that forms a sense of human involvement in the socio-cultural creation, as well as the civilizational transformation of Russia and the world. The Russian language and culture preservation, development, and dissemination (both in arts, the cultural sector, as well as science and technology) is according to the authors an imperative of stability, security, and competitiveness of Russia in the globalizing world. A special role in determining strategies and tactics of teaching the Russian language in the paradigm of a new lifestyle of mankind and the global educational environment belongs to electronic, digital, and telecommunication technologies. The subject of the present study is the educational language process, organized based on computer (digital) technologies and the optimal implementation of the linguistic and didactic qualities of electronic learning tools. The objective of the study is to determine the goals, subject matter, methods, forms, and means of computer linguodidactics, aimed at substantiating the laws and determining effective ways of language learning by means of info-communication resources. The paper outlines the research methods of the innovative language education system as well as linguo-didactic abilities of computer tools in the formation of multilevel Russian-language communicative competence and its individual components in students. The authors suggest the ways and means of updating and enrichment of professional-pedagogical competence of the Russian language teachers in the use of information and communication technologies, as well as in defining the prospects in the educational interaction (electronic, network) of teachers and students, contributing to maintaining the competitiveness of domestic language education and the pedagogical community.
Blockchains future

Some say that blockchain design is art. I don’t necessarily disagree. Design is a matter of choosing between different solutions that solve distinct problems—often without knowing which ones are best. In this last chapter, I analyze the factors that will shape blockchain design in the years to come. I show that some of these factors are external to blockchain’s design and governance (Section 1) while others are very much related to blockchain’s internal balances (Section 2).
Образовательные модели модернизации современного института дополнительного профессионального образования в правоохранительной сфере

Sociological data obtained in our and several other studies, suggest that further professional education of employees of internal affairs bodies, solving their main problem, however, has a number of problems. It is characterized by excessive centralization and formalism; does not fully reflect current educational needs and learning outcomes are not enough to affect the opportunities of professional mobility of police officers. The paper shows that the modernization of the APE system in Russian law enforcement agencies needs increasing the degree of institutional openness and including elements of non-formal education in it. According to the results of the study, the authors conclude that the presence of different educational models provides favorable conditions for professional discussion and selection of the optimal option for upgrading the system of professional training of police officers in accordance with modern requirements and trends in the development of educational systems in modern society. Such modernization can become an effective way to solve existing problems and actually improve the professional level of police officers. Keywords:&nbsp;law enforcement agencies, police officers, additional professional education, educational models, modernization
Society Publishers’ Coalition: leading the way for open scholarship

As the cultural shift towards open scholarship continues to gather pace, members of the Society Publishers’ Coalition (SocPC) are leading the way with practical initiatives to foster openness, transparency and collaboration. SocPC members are on the road to open scholarship, and various paths to transition are taking shape in 2020.
Aspect Based Sentiments from Tweets using Co-Ranking Multi-Modal Natural Language Processing Methodologies

Now-a-days people interest to spend their time in social sites especially twitters to post lot of tweets in every day. The posted tweets are used by many users to get the knowledge about the particular applications, products and other search engine queries. With the help of the posted tweets, their emotions and sentiments are derived which are used to get opinion about particular event. Lot of traditional sentiment detection system that has been developed but they failed to analyze huge volume of tweets and online contents with temporal patterns were also difficult to analyze. To overcome the above issues, the co-ranking multi-modal natural language processing based sentiment analysis system was developed to detect the emotions from the posted tweets. Initially, tweets of different events are collected from social sites which are processed by natural language procedures such as Stemming, Lemmatization, Part-of-speech tagging, word segmentation and parsing are applied to get the words related to posted tweets for deriving the sentiments. From the extracted emotions, co-ranking process is applied to get the opinion effectively related to particular event. Then the efficiency of the system is examined using experimental results and discussions. The introduced system recognize the sentiments from tweets with 98.80% of accuracy.
Use of Geographic Information System for Dengue Hemorrhagic Fever Outbreak Mapping in North Sulawesi

Background:The incidence of dengue hemorrhagic fever (DHF) has grown dramatically around the world in recent decades.Surveillance is essential to dengue management, because it identifies the number and distribution of cases, virus serotypes, and severity of disease in a population.Geographic information system (GIS) allows further investigation of surveillance data through spatial statistical analyses and visualization of patterns and relationships between disease and the environment.This study aimed to investigate the use of GIS for DHF fever outbreak mapping in North Sulawesi.Subjects and Method: This was a descriptive study conducted in three regions in North Sulawesi province, from January to February 2019.All villages and subdistricts in the regions were selected for this study.The dependent variable was mapping of DHF outbreaks.The independent variable was use of the GIS.The data was obtained from North Sulawesi Health Office.The data was analyzed accordingly using Arcview software. Results:The GIS showed that there were 13 villages in Manado, 7 villages in South Minahasa, and 7 villages in Southeast Minahasa with DHF cases.The highest case were in Paniki Bawah Village 28 cases, Rumoong Bawah Village 7 cases, and North Molompar 3 cases. Conclusion:The GIS can be used to map the distribution of DHF cases, and to detect outbreaks.Future prevention and management programs related to DHF should be further implemented more consistently to reduce the incidence of DHF.
An Effective Knowledge Modelling of Distributed Databases using Ontology and Information Retrieval

There's massive amount of secret information in the internet.Numerous methods were developed to obtain the amount of quality information from the internet.This involves the execution of complex queries which could also yield insignificant results.To overcome these difficulties, this paper focusses on a method for obtaining information from meaningful data which is structured, for this researchers are focusing on the processing of queries based on ontology, where collected information is more relevant to the needs of users.Our proposed system gives more accurate results in retrieving the information required by the users using ontologies. .
An Analysis of the Dilemma and Strategy of Foreign Student Education in China

With the modernization of our country’s education in recent years and the rapid promotion of our country’s international status, more and more foreign students are scrambling to come to our country to study, hoping to feel the charm of Chinese culture in their study. So as an inclusive and open country, facing the study of foreign students, of course, is the first time to formulate a corresponding solution. However, with the development of society, more and more foreign students come to our country, which will inevitably appear the problem of mixed fish and dragon. This problem will affect the normal development of our education, so we should solve the problem of foreign students in China.
Correction to: The inherent link between ore formation and geometallurgy as documented by complex tin mineralization at the Hämmerlein deposit (Erzgebirge, Germany)

Clarification regarding the calculation of the MAMA ratio.