Reviewerly/exHarmony huggingface dataset:
On Interval-Valued Fuzzy on Ideal Sets

Fuzzy sets, formalized by Zadeh in 1965, generalizes the classical idea of sets. The idea itself was generalized in 1975 when Zadeh introduced the interval-valued fuzzy sets. In this paper, we generalize further the above concepts by introducing interval-valued fuzzy on ideal sets, where an ideal is a nonempty collection of sets with a property describing the notion of smallness. We develop its basic concepts and properties and consider how one can create mappings of interval-valued fuzzy on ideal sets from mappings of ordinary sets. We then consider topology and continuity with respect to these sets.
Video Tutorial Learning In Computer The Development Of Early Age Children In Open University Jakarta

Background of the problem about teaching learning process was not effective and be a problem for the lecturer in computer subject at Universitas Terbuka Jakarta. Purpose of this research is to develop teaching media video tutorial to improve studentsâ€™ understanding in material at early childhood education students programs of Universitas Terbuka Jakarta academic year 2018/2019 and to know validity/practical teaching media video tutorial toward learning ability process. Furthermore, this research used research and development method. Population dan sampleof this research is early childhood education programs 8th semester students of Universitas Terbuka Jakarta academic year 2017/2018. Discerning learning media video tutorials are very helpful for students in the learning process.&#x0D;
Design of Smartphone Application for Farmer

In India most of the population is depending on agriculture and Farmer is the backbone of the Indian economy. The system consists of smartphone applications. The System can be used by farmers on the android application on mobile devices. The paper proposes the use of data mining to provide recommendations to farmers for crops, crop information, and identification of appropriate fertilizer. The smart-phone is used very commonly by everyone who is educated or non-educated. This application can provide different languages, which is Hindi and English this language commonly used and easy to use on the system.
PENGARUH KOMUNITAS MOTOR LITERASI SEBAGAI GERAKAN SOSIAL TERHADAP PERKEMBANGAN CIVIC LITERACY DI KOTA SERANG

This study aims to determine how much influence the Komunitas Motor Literasi as a Social Movement on the Development of Civic Literacy in Serang City. This study uses a quantitative approach, namely research whose data is in the form of numbers. The method used in this research is descriptive quantitative research method that is by finding information about the existing symptoms, clearly defined the objectives to be achieved, planning the approach, collecting data as material for making reports. The main data collection technique uses questionnaire techniques with questionnaire instruments and is supported by documentation observation and study. The subjects of this study were the people in Serang City who visited the Komunitas Motor Literasi which consisted of 84 respondents.The results of the data processing, the Komunitas Motor Literasi as a social movement has a strong influence on the development of civic literacy in Serang City, with a total score of 5097 or if presented in the amount of 80.90% and equal to 0.688 of indicators of relevance, the latest collection of books and new social movements . Then based on the results of the calculation of the data, the results were 0.473 (r-square) which showed that the Komunitas Motor Literasi as a social movement contributed 47.3% to the development of civic literacy in Serang City while the remaining 52.7% was influenced by other variables that could not be explained in this research.
A Study on C-E Translation of Product Introductory Texts on Company Websites Under Skopos Theory

This paper takes the C-E translation of product introductory texts on official websites of three mobile phone makers as the study object under the Skopos theory, with an aim to identify and analyze the distinctive translation features of such special type of text.The exhausted parse and analysis bring out the findings that there exists a significant translation difference between the Chinese and English-version product introductory texts on official websites.It is found that Chinese introductory texts are more inclined to rely on exquisite words and redundant expressions to describe products' features and functions, while switching to the corresponding English version, simple vocabularies and compact sentence structure are more frequent.Hereafter, this paper raises two practical guidelines to instruct translation activities in business contexts.
Client Awareness and Perception of CSR Activities in Islamic and Conventional Banks: a Survey in Bahrain

Corporate social responsibility (CSR) is considered one of the highest priorities of corporations and is one of the hottest topics in academic research, that several researchers found positive significant relationship between company’s performance and CSR activities. The current study aims to explore the clients’ awareness and perception of CSR in Islamic and conventional banks across Bahrain. The study surveyed 305 clients, 175 from the Islamic banks, and 130 from the conventional banks. The results indicated that the clients of Islamic banks are more aware of their banks CSR activities than the clients of the conventional banks. With regard to the clients’ perception of their banks CSR, it has been found that Islamic banks clients have more positive perception about their banks’ CSR than those of the conventional banks. Additionally, the results indicated that there are statistically significant differences in the clients’ awareness and perception of banks’ CSR activities when the clients are grouped according to age, income, education, and bank type.
THE EFFECT OF PLEASE STRATEGY AND WRITING INTEREST TOWARD STUDENTS' WRITING SKILL

The aims of this study are to find out whether there was a significant difference in writing achievement between the students who were taught by using PLEASE strategy and that of those who were not, to find out whether there was an effect of writing interest on the students writing skill to write descriptive text or not, and to find out whether there was an effect of writing interest on the students writing skill who were taught by using PLEASE strategy or not. The samples involved in this study were the seventh-grade students of SMP Negeri 2 Kayuagung, South Sumatera which were divided into two groups; experimental and control groups. The data were gathered by using written test and questionnaire and then were analyzed by using t-test and simple linear regression. The results showed that t-obtained (2.57) &gt; t-table (2.0017) with the degree of freedom 54 (df = 56). It could be concluded that there was a significant difference between the students who were taught by using PLEASE strategy and that of those who were not. The next result showed that there was no effect of writing interest on the students' writing skill (the score t-obtained of the writing variable was 1.14 at a significant of 0.26). After the treatment, the score of the writing variable was 3.34 at a significant level of 0.003. It indicated that there was an effect of writing interest on studentsâ€™ writing skills who were taught using PLEASE strategy. In conclusion, the students who were taught by using PLEASE strategy could be encouraged to have writing interest so that they could write a descriptive text based on the generic structure given.
Penerapan Teori Graf Pada Jaringan Komputer Dengan Algoritma Kruskal

Graph theory a branch of mathematics that studies graphs of a problem that arises.Problems related to graph theory include electricity grid planning, water networks, computer networks and so on.In this graph theory, many of the methods studied include Minimum Spanning Tree (MST).This MST method is used to determine a minimum of a graph.In this MST there is an algorithm which is a kruskal algorithm.This kruskal algorithm is used to determine the shortest distance or minimum tree of a graph.The author conducted several trials related to the algorithm to be used.The author also conducts literature studies to determine the existing problems.In this study, choosing graph theory on a computer network with the algorithm used is the kruskal algorithm.In this study the authors conducted several stages such as hypotheses, trials and results.The results of this study are graph theory can be applied to computer networks, the number of devices needed can be known and in this experiment the algorithm gives a very maximum total used.
COMPARISON OF EFFECTIVENESS OF CLUSTER MAPPING, FLOW CHARTING, AND DOUBLE/ TRIPLE ENTRY ON TEACHING WRITING SKILL

The study was aimed to examine the effectiveness of three writing techniques, namely Cluster Mapping, Flow Charting, and Double/ Triple Entry in improving the students’ writing skill. The research technique used was descriptive comparative technique using a quantitative approach. It compared the equations and differences as phenomena to find what factors/ situations that can cause the occurrence of a particular event. The data collection techniques were Documentation study by taking the students’ writing product and interview by giving the question and answer while face to face between the interviewer with the respondent using a tool called interview guide. The try out was conducted to measure validity and reliability. The two ways ANOVA was conducted to test the hypotheses, two –way analysis of variance with F-test at the 5% (0.05) level of significance. The subject of this study was the fourth semester English students with a total of 22 people. The English students’ writing skill using three techniques was tobe the object under the study. The findings of the study were the average writing score of students using Cluster Mapping was 56.5, the average score of students’ writing using Flow Charting was 49.6, and the average score of students’ writing using Double/ Triple Entry was 63.0. It can be concluded that those three techniques of writing skill are effective to use but the most effective is the Double/ Triple Entry technique. Keywords: cluster mapping, flow charting, double/triple entry, writing skill Keywords: Cluster Mapping, Flow Charting, Double/ Triple Entry, Writing Skill
МЕТОД ПЕРЕРОЗПОДІЛУ РЕСУРСІВ УНІВЕРСИТЕТСЬКОЇ СИСТЕМИ E-LEARNING НА ГІПЕРКОНВЕРГЕНТНІЙ ПЛАТФОРМІ

In connection with the popularization of the use of IT technologies, traditional teaching methods are increasingly changing e-learning approaches. E-learning is a learning system using information and electronic technologies. E-learning on a hyperconvergent platform can be viewed as a complex organizational hierarchical system, which the article considers as a kind of mathematical object. However, the resources of the e-learning system are limited and for its successful implementation, there is a need to ensure its maximum use at all levels of the system. So, as an essential element of the entire system, there must be a rapid redistribution of resources of the university e-learning system on a hyperconvergent platform. The authors of the article analyzed the existing problems of systems with a hierarchical structure and possible solutions to these problems. The paper discusses the sets of goals and objectives facing the governing bodies of the hierarchical system and are presented as a set of graphs of system goals and objectives. It was found that the process of achieving the main goal of the system poses external obstacles that are mainly situational in nature and not stochastic. And so before the governing bodies of management, there are many objects and tasks to eliminate deviations. At the upper level of management of the hierarchical system is the management of a hyperconvergent structure, at the lower level of management is the management of e-learning widgets. The subject of the research is the electronic educational resources of university e-learning. The aim of the article is to develop a method for the rapid redistribution of e-learning resources on a hyperconvergent platform. Findings. The article proposes a method for constructing a graphical model of the process of functioning of the university e-learning system, deployed on a hyperconvergent platform, based on the problems and goals of analyzing the structure of the system. A graph of consensus goals and objectives was created that considers learning resources available. A method for allocating resources of various types was also proposed. To assess the effectiveness of the resource allocation process, the “validity” criterion was chosen and a probability indicator was calculated.
Penerapan Metode Artikulasi Sebagai Upaya Peningkatan Pemahaman Siswa:

This study is a classroom action research (CAR) about the application of articulation methods in improving the understanding of class X IPA 2 students of MA Al Mahrusiyah Lirboyo Kota Kediri. This study involved 34 students consisting of 34 women. In this study, the meeting was held for 4 times, 2 meetings applied an active learning strategy for the articulation model, one meeting held a pre-test and once again held a post-test. Each meeting for each cycle is explored with planning so that each research researcher prepares: 1. Learning Implementation Plan (RPP) using articulation methods, 2. LKS, and 3. Preparing learning methods. The results of the findings of the research conducted increased learning outcomes from cycle I to cycle II, this is also because the role of the teacher performs the learning process with articulation learning models with power point learning media.
Approach for improving data security in cloud computing

Multi-client framework for access control to datasets set away in an untrusted cloud condition. Appropriated storing like some other untrusted condition needs the capacity to check share data. Our framework gives a path of authority over the informational index away in the cloud without the supplier adventure. The fundamental instrument of access control structure is the figure content arrangement trademark based encryption plot with dynamic properties. Utilizing a blockchain based decentralized record, our framework gives the steady log of all vital security occasions, for example, key age, get the chance to strategy undertaking, change or refusal, get the chance to ask for. We propose a huge amount of cryptographic conventions guaranteeing the security of cryptographic endeavors requiring conundrum or private keys. Just ciphertexts of hash codes are exchanged through the blockchain record. The model of our structure is acknowledged utilizing sharp contracts and endeavored on square chain sort out. Here is proposed structure as a customer if they are going to enroll in that account director will give assorted keys to each customer it takes after a private key in the wake of selecting a customer they can log in and they can exchange all of the reports what they need while exchanging time the substance everything will be encoded and for that one open key will be produce these all will be secured in cloud database . As a customer they have an alternate privet key which was given by the manager so they can log in and they can get to that account if they have to exchange they can exchange else they have to get any record they can get that record by using of cloud they can see all the customer archives if they need any record they have to send sales to executive .if overseer to recognize that request they can get that interface if the customer need that record they have to click that record in case you clicked that archive, by then it will be asked first it will ask private key . obviously, it will ask with respect to whether two keys was composed then nobody however they can prepared to download else they can't prepared to down weight .
PO 8496 ACCURACY OF DIAGNOSIS AND HAEMATOLOGICAL DIFFERENCE AMONG MALARIA PATIENTS IN RURAL AND URBAN AREAS IN THE ASHANTI REGION OF GHANA

Background Over recent years, there has been an increase in the use of a histidine-rich protein 2(HRP-2)-based rapid diagnostic test (RDT) in the diagnosis of malaria. Accurate and prompt diagnosis of malaria will help reduce parasite reservoir and reduce malaria transmission. However, the underdiagnosis of malaria due to low parasite density hinders malaria eradication. The study aimed at establishing the baseline information on the accuracy of the HRP2-based RDT used in Ghana in three communities (Agona [rural], Kuntanase [peri-urban] and Kumasi [urban]) while determining the haematological difference among malaria patients. Methods Cross-sectional study was conducted from January to April 2018. A total of 304 participants were recruited in the study. Microscopy and RDT were used in the detection of malaria parasitaemia in all the samples. Results The overall sensitivity, specificity, negative predictive value and positive predictive value was 75.9%, 95.6%, 64.7% and 97.4% respectively. The HRP-2 based RDT was highly sensitive (100%) for parasite density ≥250 parasite µl and relatively low for parasite density ≤100 parasite/µl (50%- Kumasi, 67%- Agona and 75%- Kuntanase). On the other hand, Agona (rural) recorded the highest prevalence (15.8%) followed by Kumasi (urban) (9%) and Kuntanase (peri-urban) being the lowest (6.8%). The difference in prevalence was however not statistically significant across the three communities. The rural area also accounted for highest parasite density (mean 99.53) and lowest in urban (60.29) with a statistical difference (p&lt;0.001). The difference in white blood cell levels was significant (&lt;0.0001) across Agona, Kuntanase and Kumasi. RBC and Hb levels were however not significant. Conclusion The high specificity observed indicates that the majority of the patients without malaria were correctly diagnosed. Notwithstanding, the sensitivity was relatively low and below the WHO standard of ≥95% hence a significant number of malaria-positive cases were misdiagnosed. It is therefore important that the accuracy of RDT should be frequently assessed to improve its quality.
A Survey on to Enhancement the Click Stream of Website using GRC Constraints in Web Personalize Clustering Approach

In the current trends every organization manages work and its data online.Even though e-Commerce website maintaining data online in a distributed form.Online approach is very useful to collaborate with consumer and seller without any dependency of place and time.Every consumer can select product with any brand without wait for a time and produce the order for purchasing.Most of purchasing the product is done by using the website that produce some navigational or access pattern.This access pattern is utilized to produce some access rules.The projected Constraint based Closed Sequential Pattern Mining by using Self-Organizing Map Clustering (CBCSPMSC)approach principal comprises specific profile and GRC constraints for filtration of data among the duration and occurrence of article gap.Now applying closed pattern method for underrates the number of rules generation and execution time.At last SOM clustering method is implemented so that each item belongs the cluster for partial database scan not whole data with fewer execution time.
Towards a new open educational resource model using OKMindmap

Mindmap is a useful teaching and learning tool. They could enable the skills of communication, collaboration, critical thinking and creativity which are identified as super skills being required for success in the 21st century. This paper suggests using OKMindmap to create a new open educational resource (OER) model called Big Book as an innovative educational method. The book was intended as an online collaborative learning environment where multiple sources of information such as video clips, images, sounds, texts and hyperlinks could be added as nodes of OKMindmap. It was trialled with the tenth graders at High school Teacher Practice of Can Tho University for one year. The results of the trial were positive. The students were interested in this new mode of learning since they could create their own Big Book by gathering information available on the web or design their own study plan which can be easily shared. The findings point to the feasibility of creating a Big Book for Vietnamese learners as the design of the Big Book was made easier and more affordable than ever in the age of technology.
Similarity Checking Similarity Checking of Source Code Module Using Running Karp Rabin Greedy String Tiling

&#x0D; &#x0D; &#x0D; Similarity checking of source code module, required a long process if it is done manually. Based on that problem, this research designed a software with structure-based approach using string matching technique with Running Karp-Rabin Greedy String Tiling (RKR-GST) Algorithm to check the similarity and using Dice Coefficient method to measure the level of similarity from 2 results source code modules.&#x0D; &#x0D; &#x0D; &#x0D; The result of the experiments show that RKRGST which applied in this system capable of recognizing the changing of statement and the changing statement order, and be able to recognize the syntax procedure testing that has been taken from its comparison module. Modification by adding the comment on source code module and changing of procedure name which is called in body of procedure can also be recognized by system. Processing time needed to produce output depends on the number of program code row that contained in source code module.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference – Editorial

Classification is a key factor in accuracy, simplicity, and expressiveness, and it is difficult to optimize all of these factors at the same time. The learning classifier system (LCS) is a suitable technique for addressing an adaptive classification problem. It is a combination of fast approximation and evolutionary optimization techniques. A neural-based learning classifier system (N-LCS) includes an architecture for maintaining expressiveness by incorporating neural networks into a supervised classifier system, which is also an LCS specializing in classification studies. In recent years, studies using deep artificial neural networks have been actively conducted. In particular, deep convolutional neural networks (CNN) provide a powerful representation in an extremely fundamental method and demonstrates the high performance in various domains. In this paper, we exploit various deep CNN architectures in convolutional neural-based learning classifier systems (CN-LCS) combining the CNN and LCS to explore the possibility of a CN-LCS. By using various CNNs as an action of a classifier in an N-LCS, better classification accuracy can be obtained and classifier can be optimized. Experimental results show that our models achieve the higher performance than N-LCS for database intrusion detection as well as two other datasets, and extract effective features from deep representation by projecting data samples learned by several deep CNN models into the feature space.