Reviewerly/exHarmony huggingface dataset:
Pengaruh Penggunaan Media Ajar IPS Berbasis Video Interaktif Terhadap Hasil Belajar Siswa Sekolah Dasar

The application of innovative and interactive learning media can encourage students to be active in learning. However, in reality social studies learning is still teacher-centered. The teachers do not use innovative learning media, and are fixated on one source book that has been provided by the school. This study is to determine the effect of using cultural map media on student learning outcomes on the material diversity of the Indonesian nation. The study used a quasi-experimental research method using one experimental group. Therefore, the design used by the researcher is a one group pretest-posttest design. The results of the statistical test showed that the average posttest results of the students were higher than the students' average pretest, which was 83.77 &gt; 76.33 with Sig = 0.000. Therefore, the application of cultural map learning media has an effect on improving student learning outcomes on the material diversity of the Indonesian nation
Graph-based Extractive Approach for English and Hindi Text Summarization

In the current era, the exponential growth of the Internet is providing astonishing availability of documents. It has become a difficult as well as challenging task for human beings to manually extract summaries of these large numbers of documents. This has given rise to meticulous research in the field of text summarization. Text summarization is a process that shortens large pieces of text while preserving key information in their content. This is having a large impact on users’ lives as it conveys relevant and important information to them. This chapter introduces an extractive approach to summarization of text. This approach uses graph-based algorithms for text summarization where cosine similarity as well as the term frequency-inverse document frequency technique are used to generate the summarized text while keeping the relevant and meaningful information intact. The proposed technique is implemented for English and Hindi text. The results are shown as summarized text in both the languages. The chapter focuses on multilingual natural language processing as a combination of computer science, linguistics, and mathematics where two languages, English and Hindi, were selected for experimental purposes.
Extended Dissipative Control for Interval Type-2 T-S Fuzzy Markov Jump Systems Subject to Actuator Faults

In this paper, the issue of extended dissipative control for interval type-2 fuzzy Markov jump systems subject to actuator faults is investigated. It is different from the traditional T-S fuzzy method, the interval type-2 fuzzy set is introduced to model the system, and the nonlinearity with parameter uncertainty is captured using the interval type-2 Takagi-Sugeno fuzzy model. During the implementation of the control process, the possible actuator failures are fully considered when designing a controller, and a fault-tolerant control strategy is employed to enhance the elasticity of the designed controller. It is worth noting that, in order to better adapt to the characteristics of interval type-2 fuzzy system, the designed controller follows non-parallel distribution compensation rules, that is, the designed controller does not have the same premise structure and fuzzy rules as the system model, which further improves the flexibility of controller design. Some sufficient conditions ensuring the stability with the extended dissipative performance of the systems are established. In the meanwhile, the obtained results with less conservatism are ensured owing to the boundary information of membership functions considered in the stability analysis. Finally, two numerical examples are provided to indicate the effectiveness of the proposed method.
CCSW '22

Clouds and massive-scale computing infrastructures are starting to dominate computing and will likely continue to do so for the foreseeable future. Major cloud operators are now comprising millions of cores hosting substantial fractions of corporate and government IT infrastructure. CCSW is the world's premier forum bringing together researchers and practitioners in all security aspects of cloud-centric and outsourced computing, including: ·Side channel attacks ·Cryptographic protocols for cloud security ·Secure cloud resource virtualization mechanisms ·Secure data management outsourcing (e.g., database as a service) ·Privacy and integrity mechanisms for outsourcing ·Foundations of cloud-centric threat models ·Secure computation outsourcing ·Remote attestation mechanisms in clouds ·Sandboxing and VM-based enforcements ·Trust and policy management in clouds ·Secure identity management mechanisms ·Cloud-aware web service security paradigms and mechanisms ·Cloud-centric regulatory compliance issues and mechanisms ·Business and security risk models and clouds ·Cost and usability models and their interaction with security in clouds ·Scalability of security in global-size clouds ·Binary analysis of software for remote attestation and cloud protection ·Network security (DOS, IDS etc.) mechanisms for cloud contexts ·Security for emerging cloud programming models ·Energy/cost/efficiency of security in clouds ·mOpen hardware for cloud ·Machine learning for cloud protection CCSW especially encourages novel paradigms and controversial ideas that are not on the above list. The workshop has historically acted as a fertile ground for creative debate and interaction in security-sensitive areas of computing impacted by clouds. This year marked the 13th anniversary of CCSW. In the past decade, CCSW has had a significant impact in our research community.
THE INFLUENCE OF GLOBALIZATION ON ECONOMIC GROWTH

Globalization is a multidimensional phenomenon that not only touches political, economic, social and cultural spheres of any society but also reshapes the traditional way of studying the “social world and human nature (Crafts, 2014). Globalization is often associated with “intensification of the worldwide social relations”, global economic integration, de-territorialization and time-space compression (Bhandari, Amit and Heshmati, 2014).&#x0D; There is no universal acceptable definition of globalization as different scholars define it based on their understanding and at certain point in time which makes the meanings far from consistent. Ibrahim, (2015) define Globalization as the growing influence that exerted at the local, national, and regional levels by financial, economic, environmental, political, social, and cultural processes that are interconnected in scope.
THE EFFECT OF CONFLICT TO THE PEACEFUL COEXISTENCE OF THE SOCIETIES

It is a concept synonymous with human behaviours. Since man cannot exist in isolation, then in the course of interactions with other members of the community there will be disagreements, intrigues and misunderstanding. The disagreement or misunderstanding occurs in forms of revolution or war. The reasons for the conflict may be as a result of cheating or struggle for a beneficial goal. To make peace and/or put an end to the conflicts, various measures are adopted by both parties and intervening parties to reach an agreement or compromise. In understanding the meaning of conflict, it must be seen from the perspective of inter-group relations whether, as individuals or groups.
The Spread of and Death from Infectious Diseases in Sub-Saharan Africa: Implications for FDI Attraction

Are “economic bads” of infectious diseases and “economic goods” of foreign direct investment antagonistic to each other? This is the salient question that this research inquiry unravels for 34 African economies from 2000 to 2017. The empirical evidence revealed the following through a generalized method of moments (SGMM) inter alia: First, the mitigating roles of infectious diseases, such as malaria, HIV prevalence rate and AIDS, on global FDI inflows are unconditionally certified from a statistical and economic sense. Second, the diminishing influences of other confounders, such as low per capita GDP, shallow financial development, excruciating inflationary trend, and natural resource rents curse, are empirically endorsed, on the one hand, while the persistent nature of FDI and trade openness as boosting mechanisms for FDI are unambiguously applauded, on the other hand. Finally, a reduction in the numerical strength of the estimates after accounting for the outliers’ effect from the models and the inclusion of additional controls do not diminish the robustness of already established findings, except for the HIV prevalence rate. On the policy front, if the foreign direct investment is truly pro-development outcomes, any policy interventions that eliminate infectious diseases will be Pareto-improving.
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting

A recent trend among major organisations is to release their datasets in the cloud over various Database-as-a-Service (DBaaS) providers’ premises, creating a use case for multi-cloud querying. As identified in the literature, middlewares with such capabilities should quote the monetary cost and the response time of the queries in order to gain the trust of their users, and also optimise the queries so as to avoid cost overruns and meet the quotations. Considering those requirements, this paper introduces an accurate cost model and an efficient execution plan search strategy for dealing with large-scale multi-cloud queries. The former is an ensemble learning stack leveraging online machine learning models, and the latter is a randomised method inspired by iterative improvement. We evaluated our middleware over simulated providers by using the Join Order Benchmark. Experiments showed that the cost model manages to correct the estimations from the providers. The randomised strategy can produce more efficiently execution plans that yield better performances and a lower monetary cost compared to an exhaustive approach from previous work.
A Comparative Analysis of Fraudulent Recruitment Advertisement Detection Methods in the IoT Environment

The growth of the Internet of Things has changed the way of job hunting. Online recruitment has gradually replaced the traditional offline recruitment mode. Some unscrupulous people use online recruitment platforms to publish fraudulent recruitment advertisements, which not only bring financial and reputational losses to job seekers but also harm the sustainable development of society. However, previous studies have not used unified evaluation metrics and datasets, and detecting fraudulent recruitment advertisements lacks systematic research. To resolve this problem, this paper selects four representative traditional learning methods (i.e., random forest, support vector machine (SVM), logistic regression, and Naïve Bayes) and three deep learning methods (i.e., TextCNN, gate recurrent unit (GRU), and bidirectional long-short-term memory (Bi-LSTM)), which perform good in natural language processing (NLP) and use the same evaluation metrics and datasets conducting comparative experiments on balanced and unbalanced datasets, respectively. The experimental results show that the TextCNN method achieves the best detection performance with relatively low energy consumption on the balanced dataset. All the metrics values are more significant than 0.93. On unbalanced datasets, the TextCNN method still performs best with increasing imbalanced proportion.
EXTRACURRICULAR WORK IN MATHEMATICS AS A COMPONENT OF THE PROFESSIONAL AND PEDAGOGICAL ACTIVITY OF A MATHEMATICS TEACHER

The article is devoted to the theoretical aspect of the concept of «extracurricular work» as a component of the professional and pedagogical activity of a mathematics teacher. The content of the concept of «extracurricular work» is analyzed, an analysis of the content of tasks and functions of extracurricular work in mathematics is presented. The importance, necessity and expediency of extracurricular work in mathematics have been clarified. The methodical features of extracurricular work, which must be taken into account by the teacher when organizing and conducting classes with students of general educational institutions for the formation and development of the creative potential of schoolchildren, the development of important abilities and skills of search, research activity, independent acquisition of the necessary knowledge, are highlighted and described. Extracurricular work in mathematics is an important component of the educational process in general and teaching mathematics in particular. A well-organized preparation by the teacher for carrying out such work awakens and develops students' interest in mathematics. Thanks to extracurricular work, schoolchildren learn to independently find non-standard ways of solving mathematical problems. Extracurricular work is an effective tool that stimulates students to seek knowledge, contributes to the fuller satisfaction of their interests, guarantees success and equips them with elements of self-knowledge. Extracurricular work in mathematics allows you to consider issues that go beyond the scope of the official curriculum, which contributes to the formation of mathematical culture in students. This work is very diverse in terms of types and content, has a touch of curiosity, and creates interest in the subject. The specificity of extracurricular work requires appropriate professional and personal qualities of the teacher, an individual style of thinking aimed at creatively searching for original solutions, and developing mathematical abilities of schoolchildren during extracurricular hours. Accordingly, this requires the mathematics teacher to be ready for constant creativity, modeling and designing extracurricular work in the mathematics education system, taking into account the individual characteristics of students, their educational needs, motives, inclinations and interests. Key words: mathematics, extracurricular work of a mathematics teacher, content, tasks, functions of extracurricular work, pedagogical activity, creative abilities.
Evaluating Activities in English Textbooks: Genre-Based Approach in Indonesian Contexts

The objective of this research is to evaluate whether the activities of two nationally-recognized English textbooks satisfy the GBA (Genre-Based Approach) and the three aspects of national curriculum, involving knowledge, skills, and attitudes. The data of the research rely on the learning-teaching activities in the two English textbooks used in Class VII, VIII, and IX of Junior High Schools in Indonesia. The sources of data are taken purposively to find five different genres involving description, recount, procedure, narrative, and report. The bases of the evaluation of the book activities are derived from GBA teaching and learning processes which include the completeness, appropriate sequence, and the ampleness of the activities in satisfying the integrations of the three aspects of the national curriculum, GBA activities and language levels activities as realized in general activities. The findings indicate that the activities in the two books can be classified into two patterns. Pattern 1, in general, satisfies the completeness of the GBA and three language levels activities. However, they lack of the appropriate sequences and ampleness of the GBA and language levels and therefore, they miss the integration of the three aspects of curriculum. Pattern 2 do not satisfy all of the three bases of evaluation including completeness, appropriate sequence and ampleness of GBA and language levels activities. Therefore, the activities of the two textbooks need to be redesigned according to the integration of the three aspects of the national curriculum and the completeness, appropriate sequence, and ampleness of the GBA and language levels activities.
Customer Experience Dimensions and E-government Success in United Arab Emirates

This systematic research study examined the connection between customer experience dimensions and e- government success in Abu Dhabi in United Arab Emirates (UAE). The organized study utilized a descriptive and cross sectional survey research design with a positivism philosophy. A sample of 382 participants out of 108,825 target population was chosen employing a table developed by Morgan &amp; Krejcie (1970). Facts were gathered utilizing a questionnaire, simple random sampling and examined applying Descriptive Statistics and Structural Equation Modeling using the Smart Partial Least Squares (SPLS) Version 3.3.3 software to test the hypotheses. The inquiry study findings came up with a significant correlation between customer experience dimensions (comfort, security and usability) and e- government success at significant level of 0.05. It was thus concluded that the customer experience dimensions significantly affect e- government success .The logical investigation study recommended that there is need to be compliant with all the stakeholders in the UAE so that development can blossom digitally. The UAE central government should promulgate useful information to the political leadership in sub-national governments on the best methods to deal with e-government strategies implementation processes.
Performance of Inclusive Online Media for Disability Literation at KamiBijak.com

Inclusive online media has an important role to give the disabled access to information. As a new inclusive online media, KamiBijak has the vision to perform the media with disability-friendliness in providing public information services. Therefore this study aims to analyze the content strategy of KamiBijak in the newsroom for distributing information to the disability audience. This research manages to discuss the newsroom innovation on KamiBijak by displaying sign language as the major language to deliver the message. The paradigm of this study uses a qualitative approach, by analyzing deeper content about KamiBijak newsroom innovation strategies used with descriptive research types. To collect the primary data, the researcher use a dept interview with the editor-in-chief of KamiBijak. Meanwhile to collect the secondary data, the researcher used content that covers on KamiBijak and literature studies. The results show that KamiBijak is an inclusive online media delivering information with sign language for Teman Tuli. Persons with disabilities, especially Teman Tuli, access information through video content that uses sign language with the full frame concept. The involvement of the non-disability team minimizes errors in friends with disabilities who have limitations in word processing because the use of sign language is different in structure from writing based on PUEBI rules. In addition, the activities of the production team from employees with disabilities and disabilities are able to complement journalistic products more fully.
Research on The Integrated Application of Blockchain and Traditional Information System

With the rapid development of blockchain technology, blockchain projects applied to different scenarios are gradually being widely studied and applied, but the parallel development trend of blockchain and traditional information system will exist for a long time. This paper introduces the structure model based on Ethereum and traditional information system integration application, puts forward the implementation method of the two kinds of system integration application, analyzes the possible risks and problems existing in the integration application, and discusses the future development and construction of cross-system technology.
On the Use of Total State Decompositions for the Study of Reduced Dynamics

The description of the dynamics of an open quantum system in the presence of initial correlations with the environment needs different mathematical tools than the standard approach to reduced dynamics, which is based on the use of a time-dependent completely positive trace preserving (CPTP) map. Here, we take into account an approach that is based on a decomposition of any possibly correlated bipartite state as a conical combination involving statistical operators on the environment and general linear operators on the system, which allows one to fix the reduced-system evolution via a finite set of time-dependent CPTP maps. In particular, we show that such a decomposition always exists, also for infinite dimensional Hilbert spaces, and that the number of resulting CPTP maps is bounded by the Schmidt rank of the initial global state. We further investigate the case where the CPTP maps are semigroups with generators in the Gorini-Kossakowski-Lindblad-Sudarshan form; for two simple qubit models, we identify the positivity domain defined by the initial states that are mapped into proper states at any time of the evolution fixed by the CPTP semigroups.
A Needs Survey of Learning Chinese: Nursing Profession in Phuket Province

As a result of Chinese economic growth in the 21st century, Chinese for Specific Purposes (CPS) has become a new paradigm for the teaching and learning of language. Despite some differences, it is reasonable to adapt the English for Specific Purposes (ESP) framework, in which a Needs analysis is fundamental for course design, into the CPS process. This study has two aims: to survey the need for nurses in Phuket to learn the Chinese language, and to suggest a course design for the target learners. Data were collected from 100 nurses working in three public hospitals on Phuket Island. The research instrument was an online questionnaire. The data were analyzed using descriptive statistics. The results show a high demand for learning Chinese, especially listening and speaking skills for communicating with patients and their relatives. Writing and reading skills are not highly desired by the target learners. Therefore, it is recommended that hospitals in Phuket should arrange in-house Chinese language courses, with course design based on the learners’ needs and preferences reported in this study.
Strong and Efficient Cipher with Dynamic Symbol Substitution and Dynamic Noise Insertion

As our dependency on the digital world increases, our private information becomes widely visible and an easy target. The digital world is never safe and is full of adversaries who are eager to invade our privacy and learn our secrets. Leveraging the great advantages of the digital world must necessarily be accompanied by effective techniques for securing our information. Although many techniques are available, the need for more effective ones is, and will remain, essential. This paper proposes a new, robust and efficient encryption technique. Our technique has an innovative computational model that makes it unique and extremely effective. This computational model offers (1) a fuzzy substitution method augmented with distortion operations that introduce deep changes to their input and (2) a key manipulation method, which produces key echoes whose relationships to the original encryption key are highly broken. These operations work synergistically to provide the highest degree of diffusion and confusion. Experiments on our proof-of-concept prototype showed that the output (cipheredtexts) of our technique passed standard security tests and is therefore highly immune against different attacks.
Zonotope and Gaussian Kalman filters based state estimation algorithm for linear system with dual noise term

Abstract To solve the problem of state estimation for systems with dual noise terms, a zonotope and Gaussian Kalman filters based state estimation algorithm is proposed. A state estimator is designed to obtain the estimation interval of the true state in the presence of both stochastic and unknown but bounded (UBB) uncertainties. A novel coefficient that weighs the relative influence of stochastic and UBB uncertainties is introduced, and the optimal weight solution is introduced by minimizing the polyhedron space and mean square error. Finally, two simulation examples are presented to demonstrate the accuracy and effectiveness of the proposed algorithm.