Reviewerly/exHarmony huggingface dataset:
SQL Server on Kubernetes

If containers are the new virtual machines, then Kubernetes are the new servers. You will see in this chapter that Kubernetes is an important technology to the future of containerized applications, especially running enterprise workloads like SQL Server.
Survey of Various Advanced Video Compression and Encryption Techniques

In recent decades, video compression has become the primary focus of intensive studies. Besides there is a great development in video compression technique in these days; and this technique is used in large number of applications. Video compression techniques is used to reduce and remove the less important video data and so the digital video data will be sent effectively and received over a network and stored on computer disks. In this paper, the research is set out with an idea about various techniques available for video compression. Nowadays, numerous video compression techniques were introduced. Those are with significant compression techniques, a vita land the reduced file will be gained without any loss in effect in the visual quality. H.265/HEVC exhibits higher improvement in coding performance over its predecessors. These are both VCEG and MPEG articulating the next generation norms. The overview of the advancement of these next-generation video coding initiatives and current upcoming video coding techniques was provided in this research work. Several papers and research materials were published related to these subject and some of these are taken for this research study. This survey is conducted to define the different fundamental methods available for video compression; video compression techniques application strategies ; different generations; the upcoming video compression techniques and trends; various issues parallel with the emerging technologies.
Perbaikan Berkelanjutan Pada Sistem Penjadwalan Perkuliahan Dengan Penjadwalan Berbasis Aplikasi dan Website

Lecture scheduling systems that made manually need longer time and should be made time after time (trial and error) because there are many constrains should be considered like: number of classes, number of lecturers, number of courses and number of students. Delay in publishing class schedule could cause disruption in the lecture process. As an eﬀort to continuous improvement, designing lecture schedule system based on application or website which easy to use by user was very needed. This research aims to design lecture scheduling information systems based on website and android in Industrial Engineering Department, Islamic State University Sultan Syarif Kasim Riau. This research also measures system success rate by using User Acceptance Testing (UAT). The fnding reveals based on UAT analysis to the information system of lecture scheduling designed, as an average, the success rate was 85.1% from 100% success expected.
The Effieciency of a Programme Based on the International Standards of Electronic Readability in Treating Reading Disorders of Fourth Grade Pupils in the State of Kuwait

This research aims at measuring the efficiency of a programme based on the international standards of electronic readability in treating reading disorders of fourth-grade pupils in the State of Kuwait.The studied sample consists of 40 primary school pupils who are divided into two groups: an experimental group and a control group.The researcher adopts descriptive and experimental methods to verify the effectiveness of the programme.She also implements the observation Checklist of Reading skills for fourth grade pupils in Kuwait.The research reveals a number of results: a statistically significant difference at )0.01( level between the experimental group and the control group pupils' mean scores on the post-administration of the observation Checklist of Reading skills in favor of the experimental group pupils, and a statistically significant difference at (0.01) level between the experimental group pupils' mean scores on the pre-/ post-administration of the observation Checklist of Reading skills in favor of the post-administration.
THE USE OF VOCABULARY LEARNING STRATEGIES AMONG ESL UNDERGRADUATES

Students need to take control of their learning process by knowing when, where and how to use appropriate learning strategies for effective learning to take place. One of the language learning strategies learners need to take into consideration is vocabulary learning strategy (VLS) as vocabulary is one of the crucial elements that learners need to master in language learning. Vocabulary learning strategies if used effectively will help learners to master a wide range of vocabulary. This study aims to identify the types of VLS which are frequently used among ESL undergraduates according to learners’ gender. Forty ESL undergraduates from various disciplines at a local university were involved in this study and data were collected to achieve the main objective of the study. The survey design was employed, and data were analyzed quantitatively using descriptive analysis to measure the frequency and percentage to identify the most frequent use of VLS and whether it differs from the undergraduates’ gender. The findings of this study found that male undergraduates used VLS more than female undergraduates and memory and social strategy were the most frequently used by female undergraduates while male undergraduates used more of cognitive and metacognitive strategy. Therefore, the findings of the study are indeed beneficial for learners to know which VLS suits them and how they can acquire a vast amount of vocabulary during their second language learning process by applying those vocabulary strategies.
Sungai Tekai Indigenous People’s Perceptions On Preserving The Environment With Regard To Health Concerns

The concept of preservation of the environment, specifically in relation to health concerns, among indigenous people is still unsatisfactory due to the lack of methods or tools needed to accomplish this aim. This is especially so among the indigenous people living in the Sungai Tekai area which is located in Pahang, a state with a considerable indigenous population in Malaysia. The purpose of this study is to uncover the perceptions of the Sungai Tekai indigenous people on the importance of preservation of the environment. Using a qualitative approach, this study was conducted via observations and interviews from June-August, 2018. The respondents for this study were selected by simple random sampling. The findings revealed that some form of education needs to be implemented for Sungai Tekai indigenous people to protect their environment in order to improve their health status. It appears that using both formal and non-formal approaches, environmental education, with a specific focus on health, should be implemented among this community from an early age to ensure a healthy and vibrant community.
Image grating: a novel technology for position measurement

A novel position measurement system, the so-called image grating system, is presented in this research paper. It features an adjustable measurement range, flexible standoff distance and in-line measurement capabilities. The developed position measurement system includes an image grating attached to the moving stage as the target feature and a line scan camera as the stationary displacement reader. By observing the position of the target feature in the image and applying subpixel image registration, the position of the moving stage can be determined. In order to improve the measurement efficiency, the computations for pattern correlation and subpixel registration are performed in the frequency domain. Calibration and error correction methods are also developed to compensate for the measurement error caused by optical distortion. Experimental data confirms the capability of the image grating technology of &plusmn;0.2 &mu;m measurement accuracy within 25 mm measurement range. By applying different optics, the standoff distance and the measurement range can be customized for different precision measurement applications.
Segmentation of Dwarf Rocks Based on Bayesian Hierarchical Mixture Model

The image recognition of dwarf rocks is the key to the study of maritime navigation, especially to the navigation of unmanned ships, and the segmentation of images plays an important role in the analysis of dwarf rocks images. Aiming at solving the problem that the image segmentation method of large dwarf rocks must be given the number of segmentations in advance, this paper introduces the complete data likelihood method, hierarchical priori and recognizable priori into the mixture model to establish a Bayesian Hierarchical Mixture Model with a priori weak dependence, and uses the reversible jump Markov chain Monte Carlo algorithm to estimate the model parameters, thus realizing jump sampling in variable- dimensional parameter spaces. In the analysis of Dwarf rocks images, the number of image components obtained in the sample is consistent with the image intensity characteristics, and the sampling results are in agreement with the original image. The results of data analysis show that the Bayesian hierarchical mixture model method can reflect the actual characteristics of the dwarf reef image well and realize the automatic segmentation of the dwarf reef image.
PENERAPAN MODEL PEMBELAJARAN QUANTUM LEARNING PADA MATA PELAJARAN IPA DI KELAS IV MI NEGERI 3 LAMPUNG BARAT

This research is motivated by the low learning outcomes in science lessons for fourth grade students of MI Negeri 3 West Lampung. One of the contributing factors is the teacher who lectures more in delivering material, so that students become bored quickly and their science learning becomes less than optimal. The purpose of this study was to determine the application of Quantum Learning Models in MI Negeri 3 West Lampung. The research method used in this study is descriptive qualitative research. Data collection techniques used were interview, observation and documentation techniques. Data analysis techniques in this study are Miles and Huberman models, namely 1) data collection; 2) data reduction; 3) display data; 4) draw conclusions. Based on the results of the study, it was found that the application of the quantum learning model in MIN 3 West Lampung went well. The implementation of learning activities is based on the quantum learning model which consists of six learning stages, namely: growing, natural, naming, demonstrating, repeating, and celebrating which is then known as TANDUR. The teacher is able to apply this method in accordance with the steps that exist, although in reality the teacher experiences obstacles in class conditioning during the discussion activities but the teacher is able to solve the problem well. Based on the results of the study it can be concluded that the application of the quantum learning model in MIN 3 West Lampung went well.
Sosyal Medya Etkileyicisi Olarak Vloggerların Gençlerin Satın Alma Niyetine Etkisi

With the emergence of new platforms in the digitalizing world, consumers have begun to be affected by video shares on social networks such as YouTube while deciding to purchase. Therefore, many brands invest in digital influencers such as vloggers to reach their target audience. In this study where the source credibility scale developed by Ohanian (1990) was used, it was aimed to examine the effect of attractiveness, trustworthiness and expertise characteristics of the vloggers, who advertise brands, on the purchase intention of young people. As a result of the analysis performed, it was concluded that the trustworthiness, attractiveness and expertise characteristics of vloggers positively affected the purchase intention of young people.
Why SQL Server 2019?

In July of 2017, I made one of my regular visits to Redmond, Washington, as a member of the SQL Server engineering team. I live in North Richland Hills, Texas, and modern technology allows me to do much of my job remote from most of the SQL Engineering team. But I’m still a bit of an “old-school” person, and, in some cases, nothing beats working with people face to face. By July of 2017, I had been in the SQL Engineering team for over a year, focused mostly on SQL Server 2016 (see an example of my work on SQL Server 2016 on the Web at ).
Кіберосвіта у сфері оборони

The article analyses the formation and development of systems of cyber education in the security and defence sector of the leading countries of the world and Ukraine. It was determined that, in higher education establishments of the security and defence sector of Ukraine, formation of students’ competences in the field of cyber security is not sufficiently presented in the education standards. It is proved that, under the current conditions, knowledge of cyber security for the students should be formed within a framework of basic courses for all fields of study, specialities and specializations. This issue needs to be constantly updated, in line with the changes and developments taking place in this area. In order to systematize and improve training in the field ofcyber security in the security and defence sector of Ukraine, the authors proposed an option for specialist training in the field ofdefence cyber security in higher education establishments ofthe security and defence sector of Ukraine. An integral, consistent, interconnected and continuous training system on cyber security and cyber defence at the tactical, operational and strategic levels of training as well as the learning content for its implementation are proposed and practically tested.
2015 개정 과학 교육과정의 성취기준과 미국 차세대 과학 표준 수행기대의 비교 분석- 초등학교 과정의 생태계 주제를 중심으로 -

Korea’s 2015 revised science curriculum presents the knowledge and skills students should learn as achievement standards. These achievement standards correspond to the performance expectations outlined in the US’s Next Generation Science Standards (NGSS). The purpose of this study is to identify the learning content related to ecosystems at the elementary school level in Korea, and to suggest guidelines for improvement of the achievement standard. For this purpose, we analyzed not only the performance expectations but also the core ideas being taught in the elementary school curriculum, as organized by the NGSS topics “Interdependent Relationships in Ecosystems” and “Matter and Energy in Organisms and Ecosystems.” The concepts and goals extracted from NGSS were then compared to the achievement standards in Korea’s 2015 revised science curriculum. In NGSS, the key ideas related to ecosystem interdependence are presented beginning in kindergarten. That is, the interactions among the different components of ecosystems and the effects of humans on the environment are presented step-by-step, beginning in the lowest grades. In contrast, grades 1-2 of Korea’s 2015 revised curriculum focus on learning about the characteristics of organisms, while grades 3-4 deal with adaptations of organisms to the environment. The impact of human beings on the environment are dealt with in grades 5-6, but the effects of biotic factors on the environment are rarely presented. Content on the materials and energy of the ecosystem first starts being taught in grade 5 in both the NGSS and the 2015 revised curriculum. However, the NGSS specifically flags the learning content as disciplinary core ideas, while the 2015 revised curriculum presents the learning element merely as class content. An analysis of educational objectives revealed that both NGSS and the 2015 revised curriculum mainly uses, as their standard, the cognitive process of “understanding,” as described in Bloom’s revised taxonomy of educational objectives. However, NGSS shows performance-focused statements, whereas the 2015 revised curriculum shows content-focused and activity-focused statements. Therefore, it is necessary to systematize the learning content about the concept of ecosystems in elementary school, and to complement the curriculum’s achievement standards with performance-focused statements.
Association rule mining algorithm based on Spark for pesticide transaction data analyses

With the development of smart agriculture, the accumulation of data in the field of pesticide regulation has a certain scale. The pesticide transaction data collected by the Pesticide National Data Center alone produces more than 10 million records daily. However, due to the backward technical means, the existing pesticide supervision data lack deep mining and usage. The Apriori algorithm is one of the classic algorithms in association rule mining, but it needs to traverse the transaction database multiple times, which will cause an extra IO burden. Spark is an emerging big data parallel computing framework with advantages such as memory computing and flexible distributed data sets. Compared with the Hadoop MapReduce computing framework, IO performance was greatly improved. Therefore, this paper proposed an improved Apriori algorithm based on Spark framework, ICAMA. The MapReduce process was used to support the candidate set and then to generate the candidate set. After experimental comparison, when the data volume exceeds 250 Mb, the performance of Spark-based Apriori algorithm was 20% higher than that of the traditional Hadoop-based Apriori algorithm, and with the increase of data volume, the performance improvement was more obvious.Keywords: Spark, association rule mining, ICAMA algorithm, big data, pesticide regulation, MapReduceDOI: 10.25165/j.ijabe.20191205.4881Citation: Bai X N, Jia J D, Wei Q W, Huang S Q, Du W C, Gao W L. Association rule mining algorithm based on Spark for pesticide transaction data analyses. Int J Agric & Biol Eng, 2019; 12(5): 162–166.
A Survey of Designing Multilingual Document Retrieval and Ranking in Cloud

The aim of this paper is to extract and fetch simple and efficient features to enhance multilingual document ranking (MLDR).Our approach is to extract monolingual and multilingual similarity features using a bilingual dictionary. In order to make this approach extensible for all other languages, no language-specific tools are preferred to be used.The process of ranking the documents of various languages based on their relevancy to the query irrespective of query's language is ranking for multilingual information retrieval (MLIR). There are some approaches which focuses on merging the relevant scores of different retrieval settings but do not learn the concept of ranking.The concept of web MLIR ranking in learning-to-rank(L2R) framework is preferred to be used. We create a ranking model to findout the relations among the documents and also to findout the joint relevance probability for the documents. We can improve the relevant estimation of documents in all the languagesusing this method.I.
Principal's Strategies and Approaches to Perform Effective Academic Supervision

Academic supervision is one of the main tasks of the principal. In practice, it is not uncommon for academic supervision to be conducted not following applicable regulations. This resulted in ineffective academic supervision activities. In carrying out effective academic supervision activities, prin
Perlukah menghitung ukuran sampel?

Sample size is an issue worth-considering but not the most essential thing to fulfil for a good research. A much more crucial cause of concern to any research is the validity of inference a research is drawing, i.e. the extent to which the research is able to control systematic error that stems from bias and confounding. Sample size refers to random error; it does not address nor correct systematic error. The larger sample size, the less random error, the more precise estimates a research can yield about difference/ association/ effect of a variable(s). Most of the assignment of values in any sample size formula is arbitrary. As such, the product of estimating sample size, regardless of the formula being used, cannot be viewed as an absolute end; the actual sample size can be larger or smaller than the estimated one. Beyond statistical aspect, several other important factors should be considered when estimating sample size, such as ethics, cost, and the amount oftime available for conducting the research.
On-demand Microwave Controlled Single-photon Source

The microwave single-photon source plays a fundamental role in quantum information processing regime. In this paper, we demonstrate a theoretical model of the controlled single-photon source. The source is consisted of a transmon qubit, a control line and an output line. The source be drived by a short microwave pulse applied through the control line, single photon is emitted through the output line. Based on theoretical calculation and numerical simulation, we obtain the single-photon source, where the photon number and shape can be controlled. This is important to enhance the efficiency of quantum communication.
Signal Shaping and Neuromorphic Processing for Optical Communications

We demonstrate an advantage of combining probabilistic shaping and neuromorphic computing processing based on the fiber-optic echo state network analogue (FESNA) for optical communications systems.
Machine learning applied to accelerate energy consumption models in computing simulators

The ever-increasing growth of data centres and fog resources makes difficult for current simulation frameworks to model large computing infrastructures. Therefore, a major trade-off for simulators is the balance between abstraction level of the models, the scalability, and the performance of the executions. In order to balance better these, early forays can be found in the literature in which AI techniques are applied, but either lack of generality or are tailored to specific simulation frameworks. This paper describes the methodology to integrate memoization as a technique of supervised learning into any computing simulators framework. In this process, a bespoke kernel was constructed for the analysis of the energy models used in most well known computing simulators -cloud and fog-, but also to avoid simulation overhead. Finally, a detailed evaluation of energy models and its performance is presented showing the impact of applying supervised learning to computing simulator, showing performance improvements when models are more accurate and computations are dense.
Inverse Design of Orbital Angular Momentum Mode Demultiplexer by Combining Wavefront Matching Method and Gradient Descent Algorithm

The spatial mode demultiplexer is a critical component in the mode division multiplexing communication system, which requires the merits of power-efficiency and low-crosstalk [1]. It has been demonstrated that any unitary transform of spatial modes can be implemented by passing through a succession of phase masks with free-space propagation in between, and the key is to inversely design the phase distribution of each phase mask. One inverse approach is based on wavefront matching method, which is employed in the technique termed multi-plane light conversion (MPLC) [1,2]. This approach enables an efficient optimization of overlap integrals between the obtained modes and the desired modes. However, this method does not have an objective function, meaning that it is incapable of implementing specific optimization. Another approach is based on the gradient descent algorithm [3], which is flexible in choosing objective functions, while the performance in maximizing overlap integrals is less desirable when compared with wavefront matching method.