Reviewerly/exHarmony huggingface dataset:
USING DROP EVERYTHING AND READ (DEAR) TECHNIQUE TO IMPROVE READING COMPREHENSION OF DESCRIPTIVE TEXT

The objective of this study was to find out whether or not there was any significant differences on reading comprehension of descriptive text between the tenth grade students’ of SMA Methodist 4 Talang Kelapa who were taught using DEAR technique and those who were not. A quasi experimental research design was used in this study. There were 70 students taken as the sample who were chosen by using purposive sampling technique, consisting of 35 students as the experimental group and 35 students as the control group. In collecting the data, reading comprehension test of Descriptive text was used. The result of independent sample t-test found that t-obtained 3,531 was higher than t-table 1,995 with the degree of freedom (df=68) and the signicant 2-tailed was 0,001. It meant that the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. It indicated that there was a significant difference on reading comprehension of descriptive text between students who were taught using DEAR technique and those who were not. Therefore, DEAR technique was effective to be used as a technique in teaching reading comprehension. Besides that, teaching reading through the DEAR technique also able to improve and maintain the students’ concentration, interest and enjoyment in reading the English text. Keyword: R eading comprehension, descriptive, DEAR technique.
Meningkatkan Kemampuan Menulis Teks Eksplanasi Menggunakan Model Pembelajaran Kooperatif Tipe Berpikir-Berpasangan-Berbagi (Think-Pair-Share) Pada Siswa Kelas XI MAS Tanjungjaya Cihampelas KBB

This research is motivated by the lack of interest of students in writing which is caused by the difficulty of students expressing the ideas and ideas that exist in their minds. This study aims to improve students' abilities in expressing the ideas that students have in writing explanatory texts. In addition, the study was conducted to determine the effect of the think pair share model on students' explanatory text writing skills. Researchers conducted research using experimental methods with a design uasi experimental design nonequivalent control group design. The population taken is class XI MAS Tanjungjaya and the sample taken is class XI MAS Tanjungjaya, amounting to 18 people. The results of the implementation of teacher learning are 96% and the implementation of student learning is 94% meaning that the teacher is able to carry out learning well and students respond well to learning using the TPS model. The results showed an increase in learning in writing explanatory text using the TPS model in class XI MAS Tanjungjaya students, with an average score of 47 in the pre-test and 77 for the final test.
Rights Statements Selection Tool

The Rights Statements Selection Tool is meant to be viewed and used when opened in a browser. The web version can be viewed through this shortlink: http://bit.ly/RSSTOOL
Optimization of tilt angle and experimental study of standalone PV system for clean energy home supply in Baghdad

The performance of the system of the solar radiation conversion is influenced via the angle of tilt with a horizontal plane; therefore, the photovoltaic array requires to be tilted at the right angle for maximizing the system conversion efficiency. The present paper has been carried out monthly at the optimum tilt angle numerically with an experimental system set up for home supply in Baghdad city (latitude 33°20'). Mathematical models were programmed by MATLAB to predict the solar energy incident on the surface all day of the year at angles from (0-90°). Experimental results manifested the performance of photovoltaic panel (PV) to provide a home with a light energy use in the shortcut electricity. The solar power system output is a function of the solar radiation. The high output of power was between (11.00 am) and (1.00 pm), which matches the high-power output time. The monthly optimum tilt angle can vary significantly during the year between 18° in summer to 65° in winter season.
Estimating volume turbulence from light-fields

We report on our progress in using light-fields of a distant, static object, observed through distributed volume turbulence to recover an estimate of the turbulence phase at discrete intervals along the path. Our approach is similar to those used by phase diversity and multi-conjugate adaptive optics but instead uses imagery from a single light field frame. Similar to those approaches ours provides a joint estimate of both the scene and the turbulence volume. We present results featuring multiple scenes, integrated turbulence strengths, and isoplanatic angles. Light field sampling effects are also considered.
IDENTIFIKASI PENERIMAAN BEASISWA DIPA MENGGUNAKAN METODE BACKWARD CHAINING

Scholarships are generally a provision of fees for education for students who arestill actively attending lectures at a tertiary institution. The scholarship so thatit can help students to finance their needs during college. The backwardchaining method can facilitate the campus bureaucrats in determining studentswho are entitled to receive scholarships. Backward Chaining is a model inreverse of hypotheses, a potential or conclusion that must be proven by facts thatsupport the hypothesis. The backward chaining model in receiving scholarshipstakes some data from existing variable criteria such as active lecture certificates,student cumulative achievement indexes, attaching TOEFL certificate, identitycard, and curriculum vitae. Next, make a decision tree from the data variables thatexist, and finally is implemented. The results of this study have an accuracy of 95%,which can be recommended to get the scholarship and this method can facilitatethe determination of scholarship acceptance. The backward chaining method isvery effective and accurate in determining DIPA scholarship recipients with anaccuracy rate of 95%, making it easier for the North Sumatra state Islamicuniversity community to select students who are eligible to receive.
New Data Prediction Algorithm

A new data prediction algorithm is given using Fourier series. Octave coding is given to predict the data element. It is giving exact data prediction.
Application of the Surface Energy Balance in Richard's equation-based model using climatic data to calculate soil evaporation

&amp;lt;p&amp;gt;This research aims to observe the behaviour between heat flow at the limit of the unsaturated area and the earth's surface (evaporation) through different methods based on the surface energy balance. This behavior has been determined by the DRUtES. DRUtES is a free software able to determine the evaporation in the surface using climate and hydraulic parameters determined by the Richard equation. Richards&amp;amp;#8217; equation describes the flow of water in an unsaturated porous medium due to the actions of gravity and capillarity neglecting the flow of the non-wetting phase, usually air (Farthing &amp;amp; Ogden, 2017).&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The results obtained have been compared with the Penman-Monteith potential evapotranspiration model, this one as a referenced value. The results obtained help to understand the loss of water in the unsaturated area. This first approach using DRUtES and evaporation methods will allow a deeper investigation in the future regarding the impact of climate change on climate variables and their effects on soil moisture (unsaturated area) and natural aquifer recharge.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Key words&amp;lt;/strong&amp;gt;: Evaporation, surface energy balance, Richard's Equation, zone unsaturated, Penman-Monteith.&amp;lt;/p&amp;gt;
Virtual Production for Remote Teaching Modalities

Approaches for leveraging real-time graphics, virtual production technologies to bring the visual richness, diversity and fidelity of bespoke teaching venues into the realm of teleconference-based, distanced learning. A variety of readily accessible tools and implementations are presented that dramatically enhance the experience of teaching and learning through common teleconferencing platforms.
The Pragmatic Paradigm Of The Language Of Rape: A Qualitative Approach

The rape perpetrators maneuver their language to perform the wrongful act through threat and among others. In this study, the qualitative approach is used to know the construct on rape that has been identified like the rape activity, illocutionary force, linguistics strategy, and social pattern. Using the random sampling, I determined the 47 decided rape cases from 2015 up to 2020 which were published online from the Supreme Court of the Philippines. It was found that the rape activities are force, threat, intimidation, the influence of moral ascendancy, rape through sexual assault, penetration, and giving or receiving of benefits. Further, it was observed that out of five illocutionary forces as proposed, there were four of them that are present in the decided rape cases which includes constative, directives, commissives, and expressive. The linguistics strategies employed in the utterances are seen such as bargaining, implied threats, reply to act of questioning, replies that form questions, scripting, self – disclosure, justification, announcement, directive or regulatory speech, reassurance or diminution of threat lying, and limitation. Lastly, the social patterns are identified that command society's language, such as criminal speech, solicitation, bribery, and threats. This study's result would add up to the body of knowledge by providing linguistics awareness to the readers.
Performace Testing Approach for Enterprise Application comprising Serverless Component

Performance testing validates non-functional requirement covering load test, scalability test, stress test etc. Performance testing of an application, which is using micro service base architecture and deployed part of the functionalities on serverless computing, need to be validated at system level for specified business scenarios. Various performance testing strategies are being used to simulate and measure the performance for serverless computing architecture.Serverless computing is trending nowadays, where developer needs to focus on his code rather than worrying about server management. In serverless computing, Application is nothing but collection of one or more functions, written for specific business functionality, which triggers on an event. The developer just needs to upload the code for execution. The performance of the serverless computing may vary due to dynamic configuration of the solution, technologies and different technology used by the service provider. [1] This paper is based on performance testing experiment conducted of a real business application built on complex architecture containing serverless component. Various past and recent work was also reviewed for performance testing approach of serverless computing application. It demonstrates the performance testing and monitoring of serverless computing application.
Machine Learning Based Precision Orientation and Strain Mapping from 4D Diffraction Datasets

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Improving the Efficiency of Calculating B-splines in parallel Programming Tasks

The use of parallel computing tools can significantly reduce the execution time of calculations in many engineer­ing tasks. One of the main difficulties in the development of multithreaded programs remains the organization of simultaneous access from different threads to shared data. The most common solution to this problem is to use locking facilities when accessing shared data. There are a number of tasks where data sharing is not needed, but you need to synchronize access to a limited resource, such as a temporary buffer. In such tasks, there is no data exchange between different threads, but there is an object that at a given time can be used by the code of only one thread. One such task is calculating the value of a B-spline. The software implementation of the functions for calculating B-splines, performed according to classical algorithms, requires the use of blocking objects when accessing the common array of intermediate data from different threads. This reduces the degree of parallelism and reduces the efficiency of computational programs using B-splines running on multiprocessor computing systems. The article discusses a way to improve the efficiency of calculating B-splines in parallel programming tasks by eliminating locks when accessing general modified data. A soft­ware implementation is presented in the form of a C++ class template, which provides placement of a temporary array used for calculating a B-spline into a local buffer of a given size with the possibility of increasing it if necessary. Using the developed template in conjunction with the threadlocal qualifier reduces the number of requests for increasing the buffer for high degree B-splines (larger than the initially specified buffer size). It is also possible to implement this scheme using the std::vector template of the C++ STL Standard Library. The results of the application of the developed class when calculating the values of B-splines in a multithreaded environment, showing a reduction in the calculation time in proportion to an increase in the number of computational processors, are presented. The methods of specifying arrays for storing intermediate calculation results considered in this article can be used in other parallel programming tasks.
ANALISIS PENERAPAN SISTEM INFORMASI AKUNTANSI PERSEDIAAN BARANG DAGANG SEBAGAI EVALUASI PENGENDALIAN INTENAL PADA PT EPSON BATAM

Problems that always in PT Epson Batam in maintaining the quality of goods, must pay attention to the occurrence the risk of accidentally losing goods caused. The purpose of this study is how the application of inventory information accounting systems and evaluation of internal control of PT Epson's inventory. Survey research method which is a study that takes samples from a population and uses questionnaires as a basic data collection tool. The population of this study is employees or employees of parts of PT. Epson Batam as many as 30 people, so the sample of this study is saturated samples, so that all population numbers are used as research samples. The results of the study explained that: 1) the application of merchandise inventory accounting information systems can be seen from the elements studied having an assessment of 83.33% (good), so that activities that support the accounting information system can be carried out in accordance with existing procedures, 2 ) Evaluation of Intellectual Control in merchandise inventory can be assessed from the elements studied in general the average value for the internal control variable of merchandise inventory is 82.73% which has good assessment criteria. This shows that the supply of merchandise can be safeguarded, checks the accuracy and correctness of accounting information, increases the operational efficiency of the company and helps maintain established management policies
Quantum Information Processing with Atomic Ensembles

In this final chapter, we focus more on quantum information and quantum computing applications of atomic ensembles. We first examine ways of implementing continuous variables in quantum information processing using atomic ensembles, based on the Holstein--Primakoff approximation. Methods to perform quantum teleportation using this method, and some seminal experiments using this approach are introduced. We then introduce other approaches not based on the Holstein--Primakoff approximation to represent quantum information, namely the spinor quantum computing scheme. After showing a simple example of how such a scheme works with Deutsch's algorithm, we describe how adiabatic quantum computing can be performed, which displays the key feature of quantum error suppression.
K-MEANS APPLICATION IN CLUSTERING JUNIOR SCHOOLS BASED ON OF NATIONAL EXAM AVERAGE RESULTS IN SURABAYA CITY

In each year each school will submit an individual report about its school to the Education Authorities, which also contains the lowest and highest national exam results, also the average score of all students who took the exam. Because there are so many junior high schools and the equivalent in the city of Surabaya, of course we will find it difficult to find which school gets good national exam scores from the four subjects tested. From the test, the resulting K-Means is one of the basic algorithms for forming clusters and can be applied to the Classification of Junior High Schools (SMP) and the equivalent based on the average national exam results. Clustering using the K-Means algorithm has a fairly good ability in the classification based on the average school exam results. Where in detection, and by input parameters such as threshold. Designing a new system of classifying schools can assist agencies in classifying schools based on average national exam scores. By using K mean clustering, we can classify into several groups based on the existing parameters.
ANALISIS IMPLEMENTASI ERP (ENTERPRISE RESOURCES PLANNING) ORACLE CLOUD FINANCE PADA PT. HADJI KALLA MAKASSAR

This study aims to determine the challenges and obstacles in the process of implementing the Oracle Cloud ERP system. Cloud-based ERP models are still rarely used by companies in Indonesia. For Oracle cloud, PT Hadji Kalla was the first group of companies to use in Indonesia. The implementation process lasted for 2 years from 2017-2018. This research is a qualitative approach with analytical methods using phenomenological analysis. Data collection is done by interviewing key informants involved in the system implementation process. The results of this study indicate that the informant feels that sometimes the perception of the user (Buyer) is not the same as the results of the system output after implementation. This causes differences of opinion between the implementor and the user towards the final results of the ERP system implementation. In addition, some outputs that were produced were not in accordance with the applicable financial reporting standards in Indonesia (PSAK). So users need to process again (customize) to suit the needs of users. As well as the user's expectations for the emergence of efficiency, it is precisely for them to feel the impact of additional costs. Because of the increased process and resources needed to support the ERP system. Therefore, for users who will implement, there needs to be an initial process of in-depth introduction between the implementor and the user to equalize. So that disappointment does not arise later on. This research is expected to contribute to the ERP system implementation process in the world of practitioners. While theoretically, the results of this study reinforce the concept of schemata theory in the acceptance of a technology.
Study on Opinion Mining Framework Using Proposed RB-Bayes Model for Text Classification

Everybody is active on social media and their motive is not only too active on social media but also to generate information. Before purchasing anything, we always check reviews on social media. Information mining is a capable idea with incredible potential to anticipate future patterns and conduct. It alludes to the extraction of concealed information from vast data sets by utilizing procedures like factual examination, machine learning, grouping, neural systems and genetic algorithms. In naive baye’s, there exists a problem of zero likelihood. This paper proposed RB-Bayes method based on baye’s theorem for prediction to remove problem of zero likelihood. We also compare our method with few existing methods i.e. naive baye’s and SVM. We demonstrate that this technique is better than some current techniques and specifically can analyze data sets in better way. At the point when the proposed approach is tried on genuine data-sets, the outcomes got improved accuracy in most cases. RB-Bayes calculation having precision 83,333.
Efficient Black-Box Planning Using Macro-Actions with Focused Effects

The difficulty of deterministic planning increases exponentially with search-tree depth. Black-box planning presents an even greater challenge, since planners must operate without an explicit model of the domain. Heuristics can make search more efficient, but goal-aware heuristics for black-box planning usually rely on goal counting, which is often quite uninformative. In this work, we show how to overcome this limitation by discovering macro-actions that make the goal-count heuristic more accurate. Our approach searches for macro-actions with focused effects (i.e. macros that modify only a small number of state variables), which align well with the assumptions made by the goal-count heuristic. Focused macros dramatically improve black-box planning efficiency across a wide range of planning domains, sometimes beating even state-of-the-art planners with access to a full domain model.
Teaching and Learning Principles of the Ancient Indian Education System and its Relevance with the National Educational Policy 2020

The teaching and learning principles followed in the Ancient Indian Education System were largely based on the student centric teaching and learning principles as advocated in the modern system of education. The overall development of the student including the inner and outer self was largely practiced in our ancient education system. Also, the principles and practices discussed in Andragogy bears striking similitude with the practices followed in the ancient system. The relevance of understanding these traditional Indian teaching and learning principles increases with the introduction of National Education Policy (NEP) 2020 by Ministry of Human Resource and Development, Government of India as it highlights that all these principles are required to be adopted by the Higher Educational Institutions. This article aims to discuss some of the teaching and learning principles of the Ancient Indian Education system and their relevance in contemporary times along its coherence with NEP.
Capacity development in household surveys experience from the centre for development data training initiative

Household surveys remain the major source of official statistics for monitoring development policies particularly in developing countries. In the context of rapid developments in data needs, extensive methodological work, data processing and use at national and international levels and a remaining capacity gap despite efforts for statistical capacity building in last decade, it is critical for training centers to keep up to speed with international best practices. This paper show that the approach of the Centre for Development Data Training initiative (C4D2 Training Initiative) is highly effective and stand to have a long-term impact on household survey capacity in Africa region. It is made of several components all of which aim to bolster capacity development in the region. It harmonizes and improves the quality and sustainability of training on household surveys through increased local capacity and greater dissemination of best practices, creates a network among participants and trainers to facilitate knowledge exchange on best practices as well as survey harmonization across countries. Taking advantage of benefits, the initiative should endeavor other regions subject to their interest and embrace the use of virtual and web-based training.