Reviewerly/exHarmony huggingface dataset:
Hybrid BBO-PSO-based extreme learning machine neural network model for mitigation of harmonic distortions in micro grids

Microgrid tends to be the cluster of some of the renewable energy sources. The most important research area in the power distribution system side is the improvement in the quality of power delivered to the end users. This paper focuses on enhancing the power quality of the microgrid system; shunt active power filters (SAPF) is employed at the distribution side and to design an appropriate controller that achieves a better compensation for the considered SAPF. It is to be noted that the compensation methodology is dependent on the regulation process of the DC-link voltage. Traditionally, this regulation process is carried out employing a closed loop proportional-integral controller. In this paper, a hybrid biogeography-based optimisation – particle swarm optimization-based extreme learning machine neural network model is proposed to design the compensation for the SAPF and to mitigate the harmonics so that effective power gets delivered through the grid.
The Usability Outlook of Computer-Based Exams as A means of Assessment and Examination: A case study of Palestine Technical University

Recently, computer-based exams, in replacement for the traditional paper-based exams, have become a booming trend that is endorsed by many educational institutions and universities all over the world; this endorsement has been a direct outcome of the advancement in computer technology and the rapid spread of the internet. Accordingly, the aim of this study was to investigate the usability outlook of computer –based exams as a means of assessment and examination , and to identify some of the reflections on the experiment of Palestine Technical University- Kadoorie Tulkarm Campus in implementing such an assessment on one of the English language introductory courses , namely, Remedial English course (no.15200099). To achieve the purpose of this study, and to answer its questions, the researcher scrutinized, in a survey-like and a descriptive methodology, throughout the findings and conclusions of the available related literature in order to draw a line of understanding in regard to the main aim of this study and its questions. The findings of this study revealed that using computer-based exams in replacement for the traditional paper-based exams represents a domain of an ongoing debate between adherents and opponents who anchor their points of view to various sets of reasons and rationales. The findings also pointed out some problems and setbacks in regard to the experiment of (PTUK) in implementing computer-based exams, as means of assessment and examination , on one of the English language introductory courses, namely, Remedial English course (no.15200099); some of these problems and setbacks are mainly connected with the (LMS-Moodle), which is used as a medium of carrying out and disclosing the Remedial English Exam, and, in addition, the complete dependence on multiple-choice questions, which are the only type used by (LMSMoodle). The study concluded with some recommendation for future research. KEYWORDS
Petrology and Geochemistry of Gole Pillow Basalt in Penjween area Kurdistan Region- NE Iraq

The petrological, morphometric and geochemical analyses of pillow lava from Gole village (Penjween town) Sulaimani city Northeastern Iraq have been undertaken. The Gole Pillow basalt (GPB) extruded, in the form of pillow and sheet flow into the Qulqula radiolarite Formation. The basaltic intrusion restricted to a small area of about 100 m2 within Penjween- Walash zone in the Zagros Suture Zone (ZSZ) of Iraq. The investigated area divided into two sections GPB1 and GPB2. It is envisaged that the studied area distinct two episodes of submarine alkaline eruptions that produced pillowed lavas that differently interacted with seawater to produce different morphologies and geochemistries. The pillows of the GPB1 section well exposed all along the Shalair river near Gole village. Although the pillows of the GPB2 section altered due to low-grade metamorphism and late hydrothermal processes, their igneous textures are still preserved. GPB samples are mostly phyric in nature and show porphyritic or sub-ophitic textures.&#x0D; Petrographically, most of the GPB rock samples appeared as amygdaloidal and vesicular aphanitic basalt. Large phenocryst of hypersthene with schiller structure is present within a matrix of longer quenched plagioclase. Numerous small euhedral grains of opaque minerals like ilmenite and hematite are dispersed in the fine groundmass.&#x0D; Morphological features show that the GPB appeared as spheroidal and lobate to tubular individual pillows. Although some pillow extends 2 meters with a foreset distribution some others show cracked with irregularly jointed surface and larger vesicles partly filled with calcite and quartz.&#x0D; Geochemical investigation of GPB exhibit high TiO2 (3.42 – 3.84 wt.%), Fe2O3 (14.84–19.93 wt.%), and high Zr/Nb and Zr/Y ratios respectively (5.85 – 7.2) (7.10-11.40). The content of alkalies, with the Nb/Y ratio≥1.4, and silica, as well as many trace element discrimination diagrams, classify the GPB as alkaline basalts.&#x0D; The field, stratigraphic relationships, and geochemistry of the GPB and associated clastic and carbonate sediments suggest that the pillow lavas were emplaced in a shallow marine marginal within plate basin. The overall geochemistry of GPB resembles that of alkaline basalts generated in within-plate ocean island settings (OIB-type).&#x0D; &#x0D; http://dx.doi.org/10.25130/tjps.24.2019.131
A semantic interoperability framework for distributed electronic health record based on fuzzy ontology

To achieve an efficient healthcare process; the professionals and doctors need to access the complete data about their patients in the suitable time. In the face of that issue; healthcare semantic interoperability is still a huge problem without solving. In this paper, a unified semantic interoperability framework for distributed EHR based on fuzzy ontology is proposed. The lowest layer stores the EHRs heterogeneous data with different models. In the middle layer, the local ontologies are mapped to a global crisp one. The global reference ontology combines and integrates all local ontologies and therefore describes all data. In the user interface layer, any linguistic or semantic queries can be done by dealing with only the global reference fuzzy ontology. We expect that our framework will handle the current EHR semantic interoperability challenges, reduce the cost of the integration process, and get a higher acceptance and accuracy rate than previous studies.
The Structural Relationship among Flipped Learning Factors, Attitudes, Self-Efficacy and Achievement in Flipped Learning

This study aims to investigate the structural relationship among flipped learning factors, learners’ attitudes of flipped learning class, self-efficacy of English grammar learning, and English grammar achievement. A total of 100 EFL university students took part in the study. Results showed positive relationships among the variables. The study also found paths among all of the variables. Two factors of self-efficacy and learning content had direct influence on the achievement and the others had indirect influence through the direct factors. According to the results, pedagogical implications were suggested. (Geumgang University · Chosun University)
A Study on Selecting Spoken Grammar List for Korean language Education― Focusing on connective expressions ―

한국어 교육 분야에서 구어 말뭉치가 구축되면서 구어 교육에 대한 연구가 활발해졌다. 그러나 주로 어휘나 담화표지 등의 기능에 대한 연구가 대부분이며 구어를 문법적 측면에서 해석한 연구는 없는 실정이다. 이에 본고는 학습자들의 구어 능력 향상을 위해 ‘연결 표현’을 대상으로 구어성 문법항목을 선정하는 데 목적을 두었다. 이를 위하여 한국어 교육 자료에서 연결 표현의 목록을 수집한 후 말뭉치에서 빈도를 산출하고 구어 편향성을 통계적인 기법(G²)으로 검증하였다. 그 결과를 바탕으로 구어성이 높은 연결 표현 항목을 선정하고 목록을 제시하였다. 이 목록은 한국어 교육 현장에서 학습자들의 오류 교정과 구어와 문어의 영역에 따른 평가 기준을 세밀히 마련하는 데 활용될 수 있을 것이다.With the construction of the spoken corpus in the field of Korean language education, there has been an increase in research on the education of the spoken language. However, while most researches have focused on the function of lexical items and discourse markers, there has been no research on the grammar aspect of the spoken language. The purpose of this study is to suggest a list of connective expressions in spoken grammar, in order to improve the speaking skills of Korean language learners. For this purpose, The index of connective expressions in Korean language education materials have been collected and analysed the corpus frequency and verbal bias by statistical technique (G²). A list of connective expressions which are commonly found in the spoken language was put together based on the results. The result of this study would be useful in correcting the errors of Korean language learners in the classroom, as well as producing detailed evaluation criteria for the spoken language and the written language.
Analisis Teknologi Temuan Gerabah Kuno Situs Labo Tua

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Latent Semantic Analysis in Automatic Text Summarization: A state of the art analysis

Increasing availability of information in the web and its ease of access necessitate the need for efficient and effective automatic text summarisation. Automatic text summarisation condenses the source text (a single document or multiple documents) into a compact version preserving its overall meaning and information content. Till now, researchers have employed different approaches for creating well-formed summaries. One of the most popular methods is the latent semantic analysis (LSA). In this paper, various prominent works to produce extractive and abstractive text summaries based on different variants of LSA algorithm are analysed.
A chameleon hash authentication tree optimisation audit for data storage security in cloud calculation

In order to improve the security of data storage in cloud calculation, a chameleon hash authentication tree optimisation audit method for data storage security in cloud calculation is proposed. First, an optimised public audit agreement is proposed. By storing homomorphic linear validator for user data on TPA sites, the response size of cloud storage server (CSS) is optimised. At the same time, the quasi-random function is used to optimise the query request to CSS; secondly, the chameleon hash and an improved chameleon authentication tree are used to perform efficient dynamic data updating on client data (cloud calculation) to support block-level updating and fine-grained updating; finally, through thorough security and performance analysis, it is clearly verified that the proposed method is safe and efficient.
A multi-group e-commerce signature scheme based on quantum teleportation

In this paper, we propose a multi-group e-commerce signature scheme based on quantum teleportation and Bell states. Compared with the recent quantum group signature scheme, what our scheme has optimised is the traditional signature model with only one group manager and the utilisation of quantum resources. By setting up different group managers in different groups, the scheme promotes the traditional signature model into a more practical situation and can be easily used in e-payment system. In addition, the quantum teleportation and Pauli operations based on the Bell states are used in the transaction process, and these techniques can also be easily implemented under practical situations. Finally, the security analysis shows that the scheme can defend against different attacks from internal and external sources, including intercepting resend attacks and entanglement attacks. It also proves that the scheme is reliable, safe and effective facing with denial and forgery.
C. Commercial Law Firms Under the Influence of Artificial Intelligence – Status Report and Outlook Using the Analysis Software Kira as an Example (Krause/Hecker)

This new handbook comprehensively analyses the current and future states of digital transformation in the legal market and its implications from a global perspective. It provides a multi-faceted overview of the use of legal tech in law firms and legal departments in different parts of the world (including Africa, Australia, Brazil, Canada, China, Europe, Russia, and the United States) and formulates clear-cut strategic advice for a successful digital transformation. With concrete examples, best practices and first-hand experience reports, more than 50 renowned international experts explain how and to what extent legal tech - through automation and technology - will change the way legal services are delivered. The reader learns what strategic decisions and steps are necessary to equip the legal industry for the changes to come. Future developments (e.g. smart contracts, blockchain, artificial intelligence) are also explained and analysed in this unique book.
MLIM-Cloud: a flexible information monitoring middleware in large-scale cloud environments

In large-scale cloud platforms, information monitoring service is essential for capturing the performance of underlying resources and understanding the behaviours of various applications in different circumstances. In this paper, we present a flexible information monitoring middleware, namely multi-level information monitoring for cloud (MLIM-Cloud), and our motivation is to enable users to perform their monitoring operations in a non-intrusive and transparent manner in any virtualised infrastructure. In the MLIM-Cloud framework, three kinds of monitoring entities are designed for collecting, processing and achieving various kinds of runtime information at different infrastructure levels, including physical machines, VM instances, and up-level applications. In addition, the MLIM-Cloud middleware is both platform-independent and platform-interoperable, which means it can be easily deployed on different kinds of cloud platforms. To investigate the performance of MLIM-Cloud, an extensive set of experiments are conducted in a real-world cloud platform. The experimental results show that comparing with many existing monitoring services, the MLIM-Cloud middleware exhibits better adaptiveness and robustness when the cloud system is in presence of dynamic and unpredictable workloads.
Dynamic negotiation of user behaviour via blockchain technology in federated system

With the increasing number of network systems and users, there are a myriad of data generated by users' daily activities, then comes the big data era. The focus of this paper tries to realise user trust negotiation with the help of blockchain technology. Therefore, in this paper, how to not only detect a malicious user but also negotiate the users' trust value among network systems are discussed. The dominating work is as follows: firstly, a variety of decentralised systems form a federated system. Secondly, every user behaviour profile is anchored on the user behaviour blockchain among the federated system, which concludes the trajectory of a user's overall behaviours, on the basis of user behaviour profile, the trust negotiation model based on practical byzantine fault tolerance (PBFT) is proposed. Finally, a scenario based on the model is proposed and its safety problems are analysed, which makes a new try in dynamic negotiation of user trust.
Maintaining Data Integrity in Cloud Systems through Version Management

As the era of the big data arrives, the enormous amount of data collected has far exceeded what traditional computer systems can appropriately handle and process. Accordingly, cloud computing has been largely used to facilitate the processing of big data. Often individual data files contain data inserted at different time, which means they have chronological versions of contents since their creation. Hadoop is one of the most popular cloud systems used nowadays. Unfortunately, it does not support efficient schemes to conduct version management for files. Previously, we improved Hadoop by realising autonomous snapshot and extra duplication for files covered in snapshots. In this paper, we report our efforts to design and implement version management for files in snapshots. With the help of autonomous snapshot and extra file duplication, version management can further maintain data integrity for important files contained in snapshots.
Development for Microcomputer Use by Individuals and "Communities": An Anthropologist's Perspective

The major goals of computer introduction in developing countries are frequently stated: to improve data gathering and processing, to improve organizational efficiency, to modernize educational programs, and, in general, to aid in achieving development objectives. The chief policy-level implication is the need to rethink the kinds of computers best suited to particular environments in developing nations. In many developing nations, national integration and nation building have overridden the realities of group identities in favor of a categorical approach. This is particularly true in development efforts that concentrate on development. The concept of a community computer center or placement of computers in village schools may be perceived as a deliberate attempt to break down traditional social systems. Conversely, the choice of individuals selected to control access to the computers, training of local maintenance people, and local involvement in determining uses and needs may, unintentionally, contribute to sustaining traditional social boundaries.
Machine Learning in the Internet of Things for Industry 4.0

Number of IoT devices is constantly increasing which results in greater complexity of computations and high data velocity. One of the approach to process sensor data is dataflow programming. It enables the development of reactive software with short processing and rapid response times, especially when moved to the edge of the network. This is especially important in systems that utilize online machine learning algorithms to analyze ongoing processes such as those observed in Industry 4.0. In this paper, we show that organization of such systems depends on the entire processing stack, from the hardware layer all the way to the software layer, as well as on the required response times of the IoT system. We propose a flow processing stack for such systems along with the organizational machine learning architectural patterns that enable the possibility to spread the learning and inferencing on the edge and the cloud. In the paper, we analyse what latency is introduced by communication technologies used in the IoT for cloud connectivity and how they influence the response times of the system. Finally, we are providing recommendations which machine learning patterns should be used in the IoT systems depending on the application type.
Examining the Impact of Strategic Agility on Strategic Renewal

This study aims to examine the impact of strategic agility dimensions (strategic sensitivity, strategic response and collective capacities) on the dimensions of strategic renewal (exploitative strategic renewal and explorative strategic renewal) at five-star hotels in Jordan. This study is based on the applied quantitative methodology to examine the causal relationship between the variables of the study; the study sample was selected according to simple random sample which includes 196 hotel managers. The most important findings of the study indicate that there is a significant statistic impact of strategic agility dimensions on strategic renewal dimensions. In addition to that, the results have shown the importance of each strategic agility dimension. The study recommends concentrating on focused on strategic agility dimensions, in addition to applying the variables of this study in organisations in other business sectors.
An adaptive optimisation algorithm based on modified whale optimisation algorithm and Laplace crossover

Whale optimisation algorithm (WOA) is a new bio-inspired algorithm which mimics the hunting behaviour of humpback whale in nature. Standard WOA is easily trapped in local optima, provide slow convergence rate and lack of diversity, as the dimension of the search space expansion. In this paper, modified whale optimisation algorithm (MWOA) is proposed to improve the quality of standard WOA algorithm performance. Moreover, an adaptive optimisation algorithm based on modified whale optimisation algorithm and Laplace crossover (ALMWOA) is presented in this paper to increase the diversity of search space and enhance the capability to avoid local optimal solutions. The proposed MWOA and ALMWOA algorithms are tested on a set of 23 benchmark functions and the results are compared with standard WOA and other well-known meta-heuristic optimisation algorithms. Experimental results show that MWOA and ALMWOA can significantly outperform other optimisation algorithms in most of benchmark functions.
Toward Prevention of Adverse Events Using Anticipatory Analytics

Introduction: Electronic Medical Records provide new opportunities for studying the historical condition and dynamics of individual patients and populations to enable new insights that may lead to improved care and treatment. Diabetes is a prime target for new analyses as it is a chronic condition that affects 1 in 10 of the U.S. adult population and causes substantial disability and loss of life. Methods: We take typical physiological measures from 3 healthcare appointments of 1,711 diabetic patients and extract combined measures that capture the overall conditions of patients and the structure of the population. Further, we examined the dynamics of individual patients across appointments in this combined measure space and examined regions associated with variability in clinical measures. Results: Our results suggest that the dynamics of standard measures may aid evaluation of the risk of adverse events, and their utility should be tested in medical trials. Conclusions: Dynamic variability of vital signs and standard measures may reflect a loss of homeostasis, associated physiological instability, and potential for adverse events that can be estimated using the proposed method.
INFLUENCE: a partizan scoring game on graphs

We introduce the game INFLUENCE, a scoring combinatorial game, played on a directed graph where each vertex is either colored black or white. The two players, Black and White play alternately by taking a vertex of their color and all its successors (for Black) or all its predecessors (for White). The score of each player is the number of vertices he has taken. We prove that INFLUENCE is a nonzugzwang game, meaning that no player has interest to pass at any step of the game, and thus belongs to Milnor's universe. We study this game in the particular class of paths where black and white are alternated. We give an almost tight strategy for both players when there is one path. More precisely, we prove that the first player always gets a strictly better score than the second one, but that the difference between the score is bounded by 5. Finally, we exhibit some graphs for which the initial proportion of vertices of the color of a player is as small as possible but where this player can get almost all the vertices.