Reviewerly/exHarmony huggingface dataset:
Fast approaches for semantic service composition in big data environment

The widespread deployment of web services and the rapid development of big data applications bring in new challenges to web service compositions in the context of big data. The large number of web services processing a huge amount of diverse data together with the complex and dynamic relationships among the services require automatic composition of semantic web services to perform quickly, thereby demanding fast and cost-effective service composition algorithms. In this paper, we investigate the web service composition in big data environments by proposing novel composition algorithms with low time-complexity. In our proposed algorithm, we decompose the service composition into three stages: construction of parameter expansion graphs, transformation of service dependence graphs, and backtracking search for service compositions. Based on the parameter expansion strategies, we then propose two fast service composition algorithms, for which we also analyse their time complexities. We conduct comparison experimentally to evaluate the performance of the algorithms and validate their effectiveness using a big semantic service dataset. Our results reveal that the proposed approaches are more preferable than a well-known algorithm in terms of execution time and precision.
几类微分-代数方程的神经网络求解法

In nonlinear science, it is always an important subject and research focus to find the approximate analytical solutions to differential equations. The artificial neural network and the optimization method were combined to solve 2 special classes of differentialalgebraic equations (DAEs). The 1st 3 numerical examples, namely, the Hessenberg DAEs with indices 1, 2, 3, fell into a category of pure mathematical problems. Then the 2nd example related to EulerLagrange DAEs with indices 3, i.e. a pendulum without external force, arising from the background of nonholonomic mechanics. The approximate analytical solutions to the above 4 examples were obtained and compared with the exact solutions and the results from the RungeKutta method. High accuracy of the proposed method was demonstrated.
Chemical Equilibrium in Metamorphism

This second edition is fully updated to include new developments in the study of metamorphism as well as enhanced features to facilitate course teaching. It integrates a systematic account of the mineralogical changes accompanying metamorphism of the major rock types with discussion of the conditions and settings in which they formed. The use of textures to understand metamorphic history and links to rock deformation are also explored. Specific chapters are devoted to rates and timescales of metamorphism and to the tectonic settings in which metamorphic belts develop. These provide a strong connection to other parts of the geology curriculum. Key thermodynamic and chemical concepts are introduced through examples which demonstrate their application and relevance. Richly illustrated in colour and featuring end-of-chapter and online exercises, this textbook is a comprehensive introduction to metamorphic rocks and processes for undergraduate students of petrology, and provides a solid basis for advanced study and research.
UGANDA: Museveni Endorsed Again

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 2 p. 22188C-22189A Internal Developments UGANDA: Museveni Endorsed Again First published: 20 March 2019 https://doi.org/10.1111/j.1467-825X.2019.08725.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue2March 2019Pages 22188C-22189A RelatedInformation
PENINGKATAN MOTIVASI DAN HASIL BELAJAR PECAHAN DENGAN MENGGUNAKAN PENDEKATAN KOOPERATIF TIPE TGT DI KELAS V SDN 04 KAYU MANANG

The research was motivated by the low motivation and learning outcomes of Mathematics in class V SDN 04 Kayu Manang Surian. The research objective is to increase motivation and learning outcomes of Mathematics by using the approach of cooperative type of TGT. This type of research is Classroom Action Research (CAR), which was carried out in 2 cycles in the second semester of 2015/2016 with the subject of teacher research and fifth grade students totaling 28 people. Research data were collected through observing student activities, learning motivation questionnaires and tests. The research findings show that the use of the TGT cooperative model approach can increase motivation and student learning outcomes in learning mathematics . Increased student motivation can be seen in the first cycle with a percentage of 20% of students expressed strongly agree, 51% of students agreed. Whereas in the second cycle, they got a score of 46%, the students strongly agreed, 30% of the students agreed. Improved student learning outcomes seen in cycle 1 with an average value of 68.55, in the second cycle to 7.32 . Based on the findings of this study concluded that the approach model of learning cooperative tpe TGT can be used as an alternative to increase motivation and student learning outcomes in learning mathematics.
PERANCANGAN MOBILE AR DAN 3D VR WALKTHROUGH SEBAGAI MEDIA INFORMASI KAMPUS STEKOM SEMARANG BERBASIS ANDROID

Abstract The development of technology has entered the digital era of mobile, which required information media is more than just print brochures and official website, because it offered a solution for the design of a medium that can be run through mobile devices based on Android that are engaging, interactive, and follow the latest technology that augmented reality and virtual reality. The method used in this design is the System Development Life Cycle or SDLC, while supporting software used is Unity3D and Vuforia. Results from this study is the successful mobile AR and 3D-VR Walkthrough to implement and complete the on-campus media STEKOM information which has been used.
Threat Intelligence

This chapter provides needed insight to understand the value of evidence-based information and knowledge about emerging cybersecurity through relational data called threat intelligence (TI). You begin by being introduced from the level of a SOC Manager or Director role. Then quickly going deeper than definitions, you leverage current historical cyber-criminal tactics, techniques, and procedures. The examples in this chapter help guide you to understand TI. You must decide the best way to leverage threat intelligence in Azure Sentinel deployment.
Memory and Probability

People often estimate probabilities, such as the likelihood that an insurable risk will materialize or that an Irish person has red hair, by retrieving experiences from memory. We present a model of this process based on two established regularities of selective recall: similarity and interference. The model accounts for and reconciles a variety of conflicting empirical findings, such as overestimation of unlikely events when these are cued vs. neglect of non-cued ones, the availability heuristic, the representativeness heuristic, as well as over vs. underreaction to information in different situations. The model makes new predictions on how the content of a hypothesis (not just its objective probability) affects probability assessments by shaping the ease of recall. We experimentally evaluate these predictions and find strong experimental support.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Administrative innovation and organisational justice across municipalities in Jordan: organisational commitment as a mediatory role

The role adopted by organisational justice (OJ) in line with administrative innovation (AI) is recognised as critical in terms of its influence on the viewpoints and performance of employees. Organisational commitment (OC) as a mediatory role was utilised, with completing an analysis on the role adopted by OJ in relation to the AI of employees. Self-administrated questionnaire was applied, with sample comprising 369 employees from municipalities based in Jordan. Structural-equation-modelling through AMOS was implemented. The assessments of employees in regards distributive and procedural justice were a factor seen to be positively and significantly related to the OC displayed by the employees. Moreover, regarding distributive justice; employee perceptions demonstrated a significant and indirect effect in line with AI through OC. Furthermore, regarding procedural justice, it was found to have both indirect and direct effects on AI. Finally, interactional justice was recognised as not significantly impacting neither OC nor AI.
Deep Belief Network for Prediction of Rician Fading Channel

In this paper a novel channel prediction scheme is presented for rician fading channel. The channel prediction is done by using a Deep Belief Network (DBN) which is composed of two Restricted Boltzmann Machines (RBMs), this deep learning algorithm can produce fewer predictive errors than echo state networks and other predictive approaches.. Simulation results shows that the DBN channel prediction system has a lower NMSE than the prediction of the echo state network and other conventional prediction methods and the obtained SER gap between the actual CSI and predicted CSI is small.
Russian robotics: State of today, view for the future

started its first experience in robotics in 1930s.But its highlight was in 1970s with first moon rovers -Lunokhod.Now Robotics is recognized as one of key technologies in Russia.National robotics program covers essential part of modern research areas of robotics.However now it's a good point to target those research areas which will be crucial for robots of tomorrow.This presentation will give an overview of the main research actors of Russian robotics and present Russian view for Robotics research for the future.Some questions of future research in area of mechanics and control of robots, as well as specifics of
Pareto Dominance Based Multi-objective Cohort Intelligence Algorithm

In the recent days, several novel and specialized algorithms are coming up for solving particular class of problems. However, their performance on new benchmark or real-world problem remains unsure. This paper proposes a novel Multi-objective Cohort Intelligence (MOCI) algorithm. It is based on Pareto dominance and co-evolutionary design principles to achieve efficient, effective, productive and robust performance. The capability of MOCI algorithm is enhanced through use of multiple features for balance of exploration versus exploitation, search towards promising region and avoidance of search stagnation. The performance of MOCI is assessed against the state-of-the-art algorithms, such as: ARMOEA, CMOPSO, hpaEA, LMOCSO, LSMOF, NMPSO and WOFSMPSO across multiple test suites including Classical, ZDT, DTLZ, WFG and UF. The performance assessment is conducted with truly uncorrelated performance metrics. In this regard, an exploratory approach of multiple correlation analysis is proposed. Performance of MOCI algorithm is statistically verified and validated using PROMETHEE-II and non-parametric statistical tests. MOCI is capable of achieving well converged and diversified solutions on most of the test as well as real world problems. The success of MOCI is attributed to multiple features incorporated in the algorithm. In the future, MOCI could be applied to challenging problems in engineering and management.
An empirical evaluation of compression techniques for genome sequences

Databases of biological sequences are increasing at an exponential rate due to tremendous growth of living organisms. Among all other scientific databases, the size of biological databases is in terabytes. With the advancement in sequencing technologies, each day thousands of nucleotide bases of different organisms are sequenced and submitted to the database worldwide. So, there is a need for compression of biological sequence data to reduce the space required for storage and thereby increase the transmission speed. Three existing sequence compression algorithms namely modified HuffBit, one bit compression and extended American Standard Code for Information Interchange (ASCII) compression algorithms are implemented. The DNA sequence data is obtained from National Center for Biotechnology Information (NCBI) database. The main aim of this paper is to compare and evaluate the performance of existing sequence compression algorithms. Experimental results show that modified HuffBit compress algorithm performs better with an average compression ratio of 3.8.
Translation Quality of Indonesian-English Tourism Brochure in Solo

The aim of this paper is to find out the translation quality of tourism brochure in Solo in terms of its accuracy, acceptability and readability. The research method applied was descriptive-qualitative. The source of data consists of documents and informants selected with purposive sampling technique. The data were Indonesian-English tourism brochure in the form of words, phrases, clauses and sentences. The other data were taken from questionnaires assessed by three respondents. The results of the translation quality show that the translation of tourism brochure in Solo is accurate, acceptable and readable.
Description of Research Design using Articles for Biometrics Technology Security and Countermeasures

In this paper, we search different articles and journals by using different scientific databases (Elsevier, Emerald, IEEE, Springer and ACM). The selection of relevant articles and journals is made through proper study of the relevant material’s abstract, conclusion with respect to our problem domain. After that, selected articles/papers are motivated by various arguments that depend upon the investigated area and develop motivation for the results.
Networking activation as an important part of the quality training course for bachelors and masters of special (defectological) education

The article analyzes the actual problems the improving networking activation of the University with partner organizations in the training course for bachelors and masters of special (defectological) education. The experience of Inclusive Education and Deafpedagogy Department of the Defectology Faculty is presented. The training course for practice-oriented postgraduate including e-learning and distance educational technologies are described.
Interactive comments on “Statistical Hypothesis Testing in Wavelet Analysis: Theoretical Developments and Applications to India Rainfall”

The authors have attempted to develop new statistical significance test for wavelet analysis.This is an important contribution as there are many studies involving wavelet analysis and it is important to differentiate between spurious and significant patterns.In addition, a package is developed in R which could be used for testing the proposed statistical method.I am opinion such a study is of great significance, given the growing application of Wavelet analysis.The theoretical background of conventional point-wise significance testing and the more recent cumulative area-wise method is sound.It provides the reader with an insight into the advantages and drawback of the point-wise method
Editorial acknowledgement

British Journal of Mathematical and Statistical PsychologyVolume 72, Issue 1 p. 183-184 Editorial Acknowledgement Editorial acknowledgement First published: 20 January 2019 https://doi.org/10.1111/bmsp.12154Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume72, Issue1February 2019Pages 183-184 RelatedInformation
Periodograms and Significance

Extends previous chapters with consideration of unequal-interval data and use of periodogram approaches, Schuster and Lomb-Scargle periodograms. Periodograms as examples of least-squares spectral analysis (LSSA) and criteria for statistical significance (p-value). Development of statistical effect-size and significance ideas from periodograms and correlation-regression approaches and application to DFT/FFT power spectra coefficients. Variance spectrum and proportion of variance explained by DFT/FFT frequency components, statistical significance (p-value) of DFT/FFT frequency components.
A RESEARCH QUICK RESPONSE CODE AS AN INNOVATIVE TEACHING LEARNING TOOL IN SMK PATRIOT PETERONGAN JOMBANG

Abstract&#x0D; &#x0D; The use of ICT in education is must in digital era. It is quality learning effort. QR Code is technology-based media developed as very fast scanning tool. However, its existence is still rarely used in education. The existence of ICT in the form of QR code in English lessons can support learning success as not all students have computer. QR code is solution to the problem of students because it can be installed on Android. This study examines the use of QR Code media in optimizing high school English learning, especially in listening skills. A study on the use of QR Code was conducted in 2021 at SMK Patriot Peterongan Jombang with a total of 25 students as the subject. The type of this research is development research. To analyze the results of the research, it is used quantitative descriptive analysis. Data obtained through questionnaires and learning outcomes tests. The researcher examined the influence of QR Media using paired sample t-test. The results showed that there is a significant effect after being given treatment because the significance is &lt; 0,05, that is 0,00. Through QR Code, students can evaluate learning outcomes well and make it easy to understand the material being studied. The results of this study are very relevant in learning, especially in increasing students' learning outcomes to learning English at the senior high school level.
A Research on Detection of Sarcasm using Machine Learning Techniques

Today in the era of flooding information on online forums, social media where decision making of customer(user) is assisted in all possible ways. Almost all types of applications have their own assistant or chatbots to guide user for his/her query. Use of assistants and chatbots gives real experience and at the same time for admin it is performing the role of customer care executive. To make it more realistic most of assistants and chatbots are built in conversational format which guide user to get correct information. It is necessary to have knowledge of user sentiments while assistance is provided. Sarcasm is one of complex human sentiment which is used to convey disagreement using positive words. This paper provides review on various approaches used to detect sarcasm present in textual data using supervised and unsupervised approaches of machine learning. It is observed many authors used neural networks algorithms to detect sarcasm. Efficiency and accuracy of detection can be increased with combination of different approaches.
SECURITY IN COMMUNICATION BY USING SUMUDU TRANSFORMS AND CRYPTOGRAPHY

In this paper we will show that how to increase the security in communication between two persons by using Sumudu transform &amp; cryptography .In the first part of the paper we will consider one plain text (original message) and convert it to cipher text(text in hidden form) by applying Sumudu transform to trigonometric cosine function. In second part we will convert this cipher text to plain text by applying inverse Sumudu transform.
A CRITICAL ANALYSIS ON CYBER SECURITY IN LATEST TECHNOLOGIES

Cyber Security plays an important role in the field of information technology. Securing the information have become one of the biggest challenges in the present day. Whenever we think about the cyber security the first thing that comes to our mind is ‘cyber crimes’ which are increasing immensely day by day. Various Governments and companies are taking many measures in order to prevent these cyber crimes. Besides various measures cyber security is still a very big concern to many. This paper mainly focuses on challenges faced by cyber security on the latest technologies .It also focuses on latest about the cyber security techniques, ethics and the trends changing the face of cyber security.
PROGRAMA SAÚDE NA ESOLA NO MUNICÍPIO DE SANTA MARIA/RS: DIFICULDADES E ESTRATÉGIAS FRENTE À PANDEMIA

The aim was to get to know the acting dynamics of the Health at School Program, in the city of Santa Maria-RS heading from the Municipal management approaching of this strategy to the development of an outreach action related to education towards health.The report was developed based on the steps: the theoretical search for healthy policies aimed at work, prioritizing official documents from the Ministry of Health and current scientific articles on the topic; conduction of a virtual study visit in the health policy management sector of the municipality or 4th Regional Health Coordination, following the chronogram set by the responsible professors; and implementing a strategic action.It concluded the importance of the project for the region, making it possible to show that the PSE mobilizes relevant action, being an important tool for the community.
Assessing the Connectedness between Proof of Work and Proof of Stake/Other Digital Coins

Major cryptocurrencies such as bitcoin and etherium rely on the computationally expensive Proof of Work (PoW) consensus mechanism to validate transactions and secure their networks. Nevertheless, digital coins that implement more energy efficient algorithms, e.g. Proof of Stake (PoS), are growing in popularity and some PoW based coins are transitioning to PoS. I investigate linkages and transmission of price shocks across fourteen PoW and PoS/Other powered digital assets. PoW cryptocurrencies appear to be more strongly connected within the network of digital coins than are PoS/Other digital currencies. On average, PoW coins export more uncertainty to other cryptocurrencies, while assets in both groups import similar levels of risk. PoS/Other cryptocurrency stakeholders need to be aware of the impact that PoW cryptocurrencies can exert on the riskiness of their assets.
Field test

The validation of the EWave system has been performed in two different ways. Main focus was the installation as pilot application directly on site at the RWW facility in the waterworks Dorsten-Holsterhausen. Before the installation and usage various IT security requirements had to be fulfilled and the control center operators were introduced to the goals and the potential of the EWave project. Then the EWave system was initially run in parallel to the real operation, without applying the setpoints on the real plant. Finally in the last stage of this test proposed setpoints were applied to the plant control. In parallel to this pilot test a further validation has been performed with the focus to quantify the benefit of EWave. To be able to assess the EWave benefit as closely as possible a concept has been developed that compared simulation results of a real historic plant operation with a theoretical EWave optimized plant operation. Finally, the results of the whole EWave project and the two validation approaches are evaluated and summarized and the potential of the approach is assessed in an outlook.