Reviewerly/exHarmony huggingface dataset:
Studi komparasi strategi pembelajaran drta dan pqrst terhadap keterampilan membaca pemahaman ditinjau dari minat membaca

This research aims to (1)  know the differences in reading comprehension skills between students taught using the Directed Reading Thinking Activity (DRTA) learning strategy and the Preview Question Read Summarize Test (PQRST) learning strategy; (2) know the differences in reading comprehension skills between the student who has high reading interest and low reading interest; (3) know the interaction between learning strategies and reading interest on students' reading comprehension skills. The study population was all grade IV students of Laweyan District Elementary School, Surakarta 2019/2020 Academic Year. Samples were taken by cluster random sampling technique. Samples obtained from this technique are SD Negeri Pajang 1 No.93 and SD Karangasem No.61 as the experimental class while SD Bratan III and SD Pajang IV as the control class. The results showed that first, there are differences in the reading comprehension skills of students taught using the Directed Reading Thinking Activity learning strategy and students who were taught using the Preview Question Read Summarize Test; second, there are differences in reading comprehension skills between the student who has high reading interest and students who have low reading interest; third, there is no interaction between learning strategies and reading interest in reading comprehension skills.
History of international legal regulation of genetics

The authors analyze in retrospect the impact of the film industry on society. Crimes «inspired» by cinematography are considered, as well as crimes that became the basis for popular films. Both recently released films and other products of the film industry are analyzed, as well as works that are internationally recognized as “masterpieces” of cinema. The authors study the impact of the film industry on ordinary people, especially young people and people with an unstable psyche, and also consider such a phenomenon as «copycat crimes» and identify its possible causes.
Teaching science through information and communication technologies : 'enablers' and 'constraints'

The ability of information and communication technologies (ICTs) to improve teaching and learning explains its inclusion in policy prerogatives in countries around the world. Efforts to realise ICT's potential in the teaching of science across the world are ongoing. In this qualitative study, we purposively sampled six beginning teachers with up to two years' teaching experience to unpack the enablers and constraints they encounter when using ICTs to teach science in South African schools. The participants responded to semi-structured interviews, wherein they narrated their experiences on the teaching of science using ICTs. We used a thematic mode of analysis. Findings indicate a range of enablers and constraints that influence beginning teachers' abilities to teach science using ICT tools. Despite exposure and competence, beginning teachers are unable to integrate ICTs effectively in teaching as indicated in the country's education policies due to certain constraints. The paper recommends, among others, that the Department of Basic Education (DBE) should activate its monitoring and evaluation mechanisms that would assist in identifying context-specific challenges. In addition, it is recommended that the government relook its budget allocation to schools in the domain of technology to enhance school capacity to purchase internet data on a regular basis and to repair broken computers timeously. These findings call for more interdisciplinary studies to provide additional information relating to the use of ICTs by beginning teachers to teach science across a variety of classroom contexts.
Digital Identity and Distributed Ledger Technology: Paving the Way to a Neo-Feudal Brave New World?

While the digital layer of social interaction continues to evolve, the recently proclaimed hopes in the development of digital identity could be both naif and dangerous. Rather than just asking ourselves how we could digitize existing features of identity management, and corresponding financial transactions on a community or state level, we submit that truly useful and innovative digital identities need to be accompanied by some significant rethinking of the essential basics behind the organization of the world. Once digital technologies leave the realm of purely on-line or deeply local projects, the confrontation with the world of citizenship’s biases and the random distribution of rights and duties precisely on the presumption of the lack of any choice and absolute pre-emption of any disagreement comes into a direct conflict with all the benefits Distributed Ledger Technology purports to enable. Some proponents of Distributed Ledger Technology-based identity systems envisage ‘cloud communities’ with truly ‘self-sovereign’ individuals picking and choosing which communities they belong to. We rather see a clear risk that when implemented at the global scale, digital identity systems could be deeply harmful, reinforcing and amplifying the most repugnant aspects of contemporary citizenship. In this contribution we present a categorization of existing digital identity systems from a governance perspective, and discuss it on basis of three corresponding case studies which allow us to infer opportunities and limitations of Distributed Ledger Technology based identity. Subsequently, we put our findings in the context of existing preconditions of citizenship law, and conclude with a suggestion of a combination of several tests which we propose to avoid the plunge into a neo-feudal ‘brave new world’. We would like to draw attention to the perspective that applying digital identity without rethinking the totalitarian assumptions behind the citizenship status will result in perfecting the current inequitable system, which is a move away from striving towards justice and a more dignified future of humanity. We see the danger that those might be provided with plenty of opportunity who already do not lack such under current governance structures, while less privileged individuals will witness their already weak position becoming increasingly worse.
Under-sampled face recognition via intra-class variant dictionary modelling

Many face algorithms require a relatively large number of training samples. In practice, they often face the challenge of inadequate training samples, which reduces their recognition accuracy. Motivated by the extended sparse representation-based classification (ESRC), we propose an improved method to address the problem of under-sampled face recognition. We show that intra-class variant dictionary plays a significant role in feature extraction. Firstly, we propose to use the robust principal component analysis (RPCA) to model the sparse part of face images as intra-class variant dictionary, so that the various changes between faces can be well captured. Secondly, we incorporate the intraclass variant dictionary into the framework of ESRC. Experimental results on the AR and Extended Yale B databases show that our method outperforms other competitors either in the case of cross database recognition or one sample per class.
Cloud Computing: Aspects on International and Indian Business Growth—A Brief Review

Cloud Computing is an emerging Information Technology componentdedicated to the virtualization of IT infrastructure, systems, etc. Virtualizationof techniques is possible by internet technologies and services. CloudComputing is growing rapidly and dedicated to the creation of a healthy androbust virtual IT infrastructure. Cloud Computing is required for distributingIT Infrastructure in the concerned organizations and also its branches. Initially,only in Government sectors, Cloud Computing was popular, but in the recentpast due to its benefits and advantages, it is rapidly started to use in thegovernment and public sectors. Cloud Computing is may also nomenclatureas Cloud Technology or Virtualization Technology in certain cases. CloudComputing consists with many service models and it is also classified intofew types. As far as its emerging models are concerned, important areSoftware, Applications, Platforms, Hardware, infrastructure, Contents, etc.Various other technologies increasing in IT market and such as Big Data,Analytics, Internet of Things (IoT), etc., and these are connected with cloud computing; directly or indirectly. Cloud Computing market is growing notonly in developed countries but also in developing countries. And the marketof the cloud depends on various aspects, criteria, and facts. Not only existingand well-known IT companies and consultancy services but also other andnewly established organizations started the cloud services or operations. Thispaper is a review based case study on Cloud Computing and here the currentmarket scenario of the cloud with reference to India is provided. Brief detailsof the companies are also provided in this chapter with a few requirementsfor selecting cloud based services.
A Possible Hidden Fault in Chiang Mai, Northern Thailand from Microseismicity

Summary Reanalysis of seismicity from the Thai Meteorological Department seismic network and 6 temporary seismic stations operated by Kasetsart University reveals a possible unknown active fault near the city of Chiang Mai in the northern Thailand. There are 50 small earthquakes occurred in San Sai districts during November 2018 to April 2019 while only 9 earthquakes were officially reported. There is a 3.2 ML occurring in San Sai district on 22 January 2019 which can be felt in many locations nearly the epicenter.
On Some Specific Issues of Ensuring Legal Protection of Biological Information

The authors examined certain issues of ensuring the legal protection of biological information in modern conditions. The lack of a single universal approach to the system of principles of its legal regulation is revealed. A number of specific proposals have been put forward.
ANALISIS SISTEM INFORMASI AKUNTANSI PENGGAJIAN KARYAWAN PADA BADAN PENYELENGGARAAN JAMINAN SOSIAL (BPJS) KETENAGAKERJAAN MEDAN

In thisresearch {of} researcher explain how accounting system remuneration of employees walk {in} one of {the} company of goverment property which {is} area move of Badan Penyelenggaran Jaminan Sosial (BPJS) Ketenagakerjaan, Medan. In this research {of} researcher wish to know do system which walk effective or {do} not. And researcher {do} not measure how big mount effectiveness of this system. From result of research which have been [done/conducted] [by] [is] remuneration accounting system which hane been run [by] have is effective. That thing earn to be seen from functions, organization chart, and documentation have as accounting to theory which have been got [ by] [at] a period of/ to lecturing.
Analysis of One Identity-based Integrity Auditing and Data Sharing Scheme

We remark that the identity-based integrity auditing and data sharing scheme [IEEE TIFS, 14(2), 331-346, 2019] is awed. The scheme needs to introduce the sanitizer for sanitizing the sensitive information in the files from its employees. But we find the data owner cannot properly retrieve his data from the cloud server because the sanitized files are generated by simply replacing the sensitive information with stuffing strings, instead of using a reversible transformation to encrypt the files. In the proposed model, the auditor who is responsible for checking the data integrities of uploaded files from all clients, seems unnecessary because a transferred file between a client and a server is generally encrypted and signed via the default protocol (HTTPS), which suffices to ensure data integrity. Moreover, the over-sanitized files are usually considered useless because they cannot be utilized by other users for big data mining and big data analysis.
Study on Block Chain in Internet of Things – Detailed Review

The Internet of Things is developing new possibilities and providing positive advantages to groups in current and new markets. It affects not only facts, but also the whole facts, as well as how, when, where and why accumulation. The principle of the blockchain has shifted from passing bitcoin to passing, providing a widely distributed and secure database. It helps to protect the records in the database so that no other man, woman or hacker can get into it. The Internet of Things has a community of multiple devices that can talk to each other without human intervention. Records can be transferred in the short term in green mode. In the IoT community, blockchain can maintain immutable reports recorded on smart devices.
Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting

While data from Supervisory Control And Data Acquisition (SCADA) systems is sent upstream, it is both the length of pulses as well as their frequency present an excellent opportunity to incorporate statistical fingerprinting. This is so, because datagrams in SCADA traffic follow a poison distribution. Although wrapping the SCADA traffic in a protective IPsec stream is an obvious choice, thin clients and unreliable communication channels make is less than ideal to use crypto-graphic solutions for security SCADA traffic. In this paper, we propose a smart alternative of data obfuscation in the form of Impulsive Statistical Fingerprinting (ISF). We provide important insights into our research in healthcare SCADA data security and the use of ISF. We substantiate the conversion of sensor data through the ISF into HL7 format and define policies of a seamless switch to a non HL7-based non-secure HIS to a secure HIS.
What senior academics can do to support reproducible and open research

Increasingly, policies are being introduced to reward and recognise open researchpractices, while the adoption of such practices into research routines is beingfacilitated by many grassroots initiatives. However, despite this widespreadendorsement and support, open research is yet to be widely adopted, with early careerresearchers being the notable exception. For open research to become the norm,initiatives should engage academics from all career stages, particularly senioracademics (namely senior lecturers, readers, professors) given their routineinvolvement in determining the quality of research. Senior academics, however, faceunique challenges in implementing policy change and supporting grassroots initiatives.Given that - like all researchers - senior academics are motivated by self-interest, thispaper lays out three feasible steps that senior academics can take to improve thequality and productivity of their research, that also serve to engender open research.These steps include a) change hiring criteria, b) change how scholarly outputs arecredited, and c) change to funding and publishing with open research. The guidancewe provide is accompanied by live, crowd-sourced material for further reading.
Utilising Technology in Making the Nigerian Administration of Criminal Justice Act Effective for Criminal Trials

The 2015 Administration of Criminal Justice Act (ACJA) has set Nigeria on the path of adopting a more technology-driven criminal justice administration. Prior to its enactment after several years of consideration, there had been only episodic use of Information and Communication Technology (ICT) facilities in criminal proceedings. This paper examines Nigeria’s Criminal Justice Administration (CJA) in light of the ACJA’s innovative provisions with a view to furthering the application of ICT facilities. It is hoped that ICT might be integrated throughout the CJA as it currently operates in Nigeria so as to promote the effective and efficient automated administration of criminal justice. In the new era of social distancing given the COVID-19 pandemic, such reform is submitted to be imperative.
Analisis Kualitas Sistem Informasi PT Riway International Terhadap Kepuasan Member Menggunakan Metode Webqual 4.0

Globalization also affects people's lifestyle where health is very important for everyone, so it cannot be denied that the medical world is currently one of the place that people really need in Batam City. PT. Riway International is a company that operates in the field of dietary supplements for human health. With the current condition of business competition, especially in Batam City which is so tight, PT. Riway International is one of the company that is able to survive and continue to strive to improve all aspects of the quality of the company, one of the aspect is the information system. This study aims to analyze the quality of information system such as Usability, Information Quality, Interaction Quality, Satisfaction at PT Riway International Batam branch. The technique reuse in this study is a quasi sample, namely using a population of residence in the city of Batam, we took 200 respondents as a sample. The measuring instrument use in this research is 5 points using a Likert scale. The data analysis method use is descriptive analysis, the data quality test in this studies use validity and reliability test and the influence test in this study use the analysis of the coefficient of determination (R2), while the hypothesis testing in this study use the t test and the F test with the help of software statistic SPSS 26. Based on the result of this studies indicate that the Information Quality has a positive and significant effect on member satisfaction, while Usability and Interaction Quality do not have a positive and significant effect on member satisfaction. Meanwhile, Usability, Information Quality, Interaction Quality together have a positive and significant effect on member satisfaction.
Optimization of Safe Distance in Pursuing Seismic Data Acquisition through Oil Fields and Populated Areas

Summary The present paper will focus on a mega single sensor 3D seismic survey, where different environments that needed to be covered. These includes producing oil fields, oil installations, refinery&apos;s, cities, farms and construction sites. Due to these changing as well as challenging environments, a safety standard had to be adopted to support vibrator and explosive sources for safe and successful completion of the project. Peak Particle Velocity (PPV) surveys were conducted using the DIN 4150 German Standard as a reference whenever the seismic operation approached to any oil field infrastructure, populated area or any possible vulnerable hazards. A total of 666 PPV measurements were conducted in multiple environments within the seismic survey boundary. Based on these tests a set of optimum possible safety distances were determined to oil installations, residential structures, construction sites and other infrastructures to ensure that the quality of the final seismic imaging is optimized and survey objective is achieved.
Image Counting Berbasis Citra Realtime untuk Mengendalikan Arus Lalu Lintas Menggunakan Phyton dan Matlab

Research with the title “Performace Comparison of Naive Bayes and Support Vector Machine for Herregistration Prediction” aims to determine the comparison of naive bayes and support vector machine in herregistration prediction with accuracy parameters and AUC using test scenarios with split validation, which will later be used as a reference for parties universities to carry out policies for students especially those who have the potential to experience non-registration. In this study, only herregistration prediction of prospective new students at the computer science faculty for the class of 2015 to 2017 using of the naive bayes algorithm and support vector machine. The accuracy obtained in the Naive Bayes method is 93.54% and AUC 0.946 while the support vector machine method is 92.67% and AUC 0.877 uses the RBF kernel with parameter cost (C) 1.0 and Epsilon 0.0. In addition, performance accuracy and AUC are very influential when deleting one of the variables used.
Knowledge management and innovation: issues, gaps, applications and opportunities

As today‘s economy is confronted by increasing technological complexity, globalization, economic uncertainty, environmental concerns, dynamic and sometimes unpredictable social environment challenges, the ability to respond innovatively becomes a critical factor for the survival and success of economy and organizations. Since knowledge plays an invaluable role in innovation management, companies are forced to explore new sources and learn to exploit their existing resources of knowledge. Scholars and managers increasingly investigate knowledge management trying to better comprehend how to facilitate innovation opportunities and abilities. In response, this chapter aims to further the understanding of knowledge management (KM) association with organization’s innovation performance and its significance for the development of innovation. The study reviews the empirical evidence on how various knowledge management practices impact innovation performance, addresses the research gaps and trends. Based on the extensive literature analysis, the opportunities are highlighted for organizations that strive to increase their capacity to innovate by building ambidexterous knowledge management potential.
Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities)

In the environment of smart cities, human facial age estimation has become an important research topic due to its wide applications. Although a variety of methods are proposed to depict facial biologic attributes, the underlying relationships between facial appearance and its biological aging process have not been fully explored. Although relationship learning methods have been constructed in terms of modeling either the facial representations or the facial attributes, none of them model the relationships simultaneously. In this paper, we propose a unified model to explore these relationships simultaneously, coined as JREAE. In JREAE, two covariance matrices are symmetrically constructed to capture the underlying correlations from both aspects of input facial features and output age labels. In this way, the potential relationships of both feature and label are not only modeled definitely, but also explored adaptively from the training data, which is significantly different from those methods that define the relationships manually. Then, we extend the JREAE model with deep convolutional architecture (deep-JREAE) for more powerful discrimination. In addition, we present optimization algorithms to solve the proposed models with theoretical convergence and complexity proof. Finally, through extensive experiments, we not only validate the effectiveness and superior of the proposed methods in performance, but also visualize and analyze the resulting relationships.
Efficiency in the Markets of Crypto-Currencies

We show that the level of market-efficiency in the five largest cryptocurrencies is highly time-varying. Specifically, before 2017, cryptocurrency-markets are mostly inefficient. This corroborates recent results on the matter. However, the cryptocurrency-markets become more efficient over time in the period 2017-2019. This contradicts other, more recent, results on the matter. One reason is that we apply a longer sample than previous studies. Another important reason is that we apply a robust measure of efficiency, being directly able to determine if the efficiency is significant or not. On average, Litecoin is the most efficient cryptocurrency, and Ripple being the least efficient cryptocurrency.