Reviewerly/exHarmony huggingface dataset:
Screen Book Versus Printed Book: A Comparative Study on the Influence of Students Perceived Learning at six semesters on English department in University of Muhammadiyah Gresik

Learning media is needed in education. Books are one of the important media. In higher education, variations of the book began to be introduced in the form of printed book (traditional) and screen book (electronic). At the University of Muhammadiyah Gresik in the English department, the two book formats are taught from the first semester to sixth semester. Student learning styles and learning outcomes are also influenced by the book and the format of what books are read by students. This is preceded by the learning felt by the students on what kind of book format is preferred. In this study, researchers look for differences in likes or lessons perceived by students to screen books and printed books at higher levels of education. The sample of this study is 50 students consisting of 23 students from the morning class and 27 students from the afternoon class. Sample is taken by purposive sampling technique to facilitate the researcher to find the right subject with criterion according to this research. Data collection used in this study using questionnaires with Likert scale grading 4 points. Some statements to be answered by respondents in the form of affective questions about their feelings or perceived in learning are often referred to as self-report measure. The Z test is used to test the research hypothesis as it relates to this type of comparative study and to find out the accepted or rejected null hypothesis. The results of this study indicate that there is no significant difference between screen book and printed book on students perceived learning. This means that the two natural groups, morning class and evening class, both prefer the printed book because of the tacticle interaction factor. Of the two classes have a fondness for the screen book but not significant. Then, it can be conclude that in this study null hypothesis is accepted.&#x0D;
DECISION SUPPORT SYSTEM FOR DETERMINING BEST HOMEROOM TEACHER WITH TOPSIS METHOD IN MIS NURUL HUDA PANTAI LABU

&lt;p&gt;&lt;em&gt;During this time the determination of the best homeroom teacher at MIS Nurul Huda Pantai Labu was still using a manual process , so the results were not optimal. In this study the decision support system was built to facilitate the school in determining the best homeroom teacher using the Topsis method. The criteria used are 5: attendance, organizational experience, data on student achievement, interaction with students, and final education. This system design application is expected to help the school principal in making decisions about determining the best homeroom teacher&lt;/em&gt;&lt;/p&gt;
Monitoring software risks based on integrated AHP-ANN method

Software risk management refers to systematic process for analyzing and identifying the project risks. The present paper provides a hybrid method for IT software risks identification. Software projects possess different features which increase the project failure possibilities. Therefore, the present work integrate the Artificial Neural network with the Analytic Hierarchy Process (AHP-ANN) in order to solve the problem of software project estimation in early stage. The questionnaire developed to find out the risk functional model and provide the proposed method with proper data. The results observe a major common risk in software projects is the insufficient knowledge based on different software project life cycle stages. Also, there are some other important factors in software projects such as lack of good estimation in project scheduling, poor definition of project requirements which cause human errors.
Effect of the Energy Drink “Red Bull” on the Amateur Football Players’ Aerobic and Anaerobic Performances

This study was conducted to investigate effect of 250 ml of Red Bull energy drink consumed 60 minutes before an intensive exercise on aerobic and anaerobic performances of amateur football players (subjects were PE students).In this study, a crossover research design was applied. Test subjects were divided into two groups, namely A and B. In the first experiment, group A was provided Red Bull, and group B was given apple juice (placebo) and tests were carried out. In the second experiment, the same tests were carried out by interchanging the drinks provided to the groups previously. The aerobic performance assesment was performed with the Yo-Yo Intermittent Recovery Test (Level 1) while the anaerobic performance assesment was carried out with the Wingate test. The differences between the groups were analyzed by Wilcoxon Signed-Ranks Test, and the significance level was accepted as p&lt;0.05.As a result of the tests applied to Red Bull and Placebo groups; there was seen no significance difference between the maximal VO2 values of the groups (Red Bull, x̅=49.50±3.14 ml/kg/min; Placebo, x̅=48.81±3.07 ml/kg/min, z=-1.244, p&gt;0.214). Additionally, according to the Wingate test results, no significant difference was found between the Red Bull and Placebo groups. (Peak Power: Red Bull x̅=877.56±164.82 W, Placebo x̅=841.67±162.23 W (z=-1.48, p&gt;0.13), Average Power: Red Bull x̅=616.70±99.17 W, Placebo x̅=603.69±92.05 W (z=-1.59, p&gt;0.11), Time at Peak Power: Red Bull x̅=2.21±0.95 sec, Placebo x̅=1.97±1.00 sec (z=-0.29, p&gt;0.76).As a result, it was observed that the performances of amateur footballers did not show a significant increase when Red Bull energy drink was consumed one hour before Yo-Yo Intermittent Recovery Test (Level 1) and Wingate Anaerobic Power Test. Considering unconscious consumption of caffeinated drinks and its possible side effects, it is not recommended for athletes who are not used to it.
Development of Interactive Learning Media on Material Writing Short Story Texts Based on Experience

The development of interactive media on learning to write experience-based short stories is designed according to the needs and characteristics of students who are expected to be able to overcome all the problems in learning activities to write short stories and make students more active, independent and able to think critically. This research was carried out at Amanah Islamic Modern School Middle School in Medan. The data in this study are the results of observations, interviews, results of questionnaires validation of material and design of learning media, the results of questionnaires teacher perceptions of learning media developed, and student learning outcomes totaling 32 people. Data from observations in the form of learning values writing short stories totaling 32 students so far and the results of interviews in the form of opinions of two Indonesian language teachers related to learning to write short stories obtained from students and teachers of Indonesian. Learning outcomes in short story text writing material based on the experience of students of class IX-1 Amanah Middle School Islamic Modren School Medan after using interactive learning media are in the category of "very good" with an average value of 80 and average values before using interactive multimedia learning media for 69.37 which is in the "good" category.
AIIDE 2014 StarCraft Competition

In 2014, AIIDE will host the Fifth Annual StarCraft AI Competition. Participants are given the task of building the best performing AI system for the popular real-time strategy game StarCraft Brood War (Blizzard Entertainment). The goals of the competition are to provide a testbed for real-time AI systems and to promote game AI research by ex- hibiting AI techniques such as scripting, planning, optimization, spatial reasoning, and opponent modeling in a fast-paced popular video game.
The stability of the radiative regime in Bucharest during 2017-2018

The paper presents an analysis of the solar irradiation and the stability of the solar radiative regime, available for Bucharest and the southern area of Romania. The study is based on meteorological data measured at 3.6 seconds, on several consecutive days of each season, in the years 2017 and 2018. Data acquisition was performed at Technical University of Civil Engineering Bucharest. The daily mean values for sunshine number and sunshine stability number are computed and analysed. The analyses carried out in this research are useful for applications of solar energy and conversion to thermal energy in hot air solar collectors to estimate the temperature variation at the collector air outlet as well as for photovoltaic panels to estimate the resulting electrical energy.
KAJIAN SOSIOLOGI SASTRA DAN NILAI PENDIDIKAN KARAKTER DALAM NOVEL PASUNG JIWA KARYA OKKY MADASARI SERTA RELEVANSINYA SEBAGAI MATERI AJAR DI SMA

&lt;p&gt;&lt;em&gt;The form of this research is qualitative descriptive used an approach of sociology literature. Data collection technique used: (1) document analysis technique which is novel Pasung Jiwa; (2) interviews technique with informant which are teacher and student. The collected data analyzed by interactive analysis model. The result of the research are: (1) Intrinsic element analysis of novel Pasung Jiwa, the main theme are freedom and the struggle against injustice. The figures analyzed the main character that are Sasana and Jaka, and the additional characters that are Ayah, Ibu, Cak Man, Masita, Banua, Memed and Leman, the Marjinals, Elis, and Kalina . The plot of novel Pasung Jiwa is chronological plot. The background scene happen in Jakarta, Malang, and Batam. The background time happen in 1993-2003. The view point used first person perspective; (2) Social criticism in novel Pasung Jiwa includes social criticism of government because of Orde Baru repressive government. Social criticism of arbitrary power. Social criticism of the economy because of monetary crisis. Social criticism of human rights because of Sasana’s struggle as a transgender; (3) The education value contained within novel Pasung Jiwa are: religious; honest; tolerance; discipline; hard work; creative; independent; democratic; curiosity; the spirit of nationality; love the homeland; appreciate achievement; communicative/friendly; love peace; like to read; social care; and responsibility; and (4) Novel Pasung Jiwa has a novel suitability criteria that can be used as teaching material&lt;/em&gt;&lt;/p&gt;
Students’ Perspective on the Use of Edmodo as an Assessment Tool

The lecturers are in search of exploring innovative assessment techniques in order to promote students skill. For assessing students’ language skills, the study introduces Edmodo. Being a web-based online technology, beside can provide all subject, Edmodo also allows students and teacher to post materials, share videos and links, grades, notices, and assignment. It enables teachers to work with their learners in real time, and can be used either in the class or at home. The special code assigned for a particular group which makes it secure and safe in use. The study focuses on how the use of edmodo as an assessment tool. 68 students from two classes that attending News and Report Writing Course in English Language Education Islamic University of Riau in Pekanbaru participated in various assessment activities through Edmodo during 2016/2017 academic year. Reflection of the students regarding the use of Edmodo as an assessment tool were obtained by semi-structured interviews. There were four questions which posed to the students conducted by the researcher. The result indicated that most of the students motivated and Edmodo also reduced their test anxiety to a great extent and they would prefer to be assessed through Edmodo rather than traditional asessment techniques like pen-and-paper test.
Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM.

The irregular geometry and high inter-slice variability in computerized tomography (CT) scans of the human pancreas make an accurate segmentation of this crucial organ a challenging task for existing data-driven deep learning methods. To address this problem, we present a novel model-driven stack-based fully convolutional network with a sliding window fusion algorithm for pancreas segmentation, termed MDS-Net. The MDS-Net's cost function includes a data approximation term and a prior knowledge regularization term combined with a stack scheme for capturing and fusing the two-dimensional (2D) and local three-dimensional (3D) context information. Specifically, 3D CT scans are divided into multiple stacks to capture the local spatial context feature. To highlight the importance of single slices, the inter-slice relationships in the stack data are also incorporated in the MDS-Net framework. For implementing this proposed model-driven method, we create a stack-based U-Net architecture and successfully derive its back-propagation procedure for end-to-end training. Furthermore, a sliding window fusion algorithm is utilized to improve the consistency of adjacent CT slices and intra-stack. Finally, extensive quantitative assessments on the NIH Pancreas-CT dataset demonstrated higher pancreatic segmentation accuracy and reliability of MDS-Net compared to other state-of-the-art methods.
Read alouds 2.0 in an Indonesian tertiary EFL classroom

Read alouds have long been advocated as a reading practice that is not only appropriate for children but also for adult learners. Empirical evidence shows that reading aloud could be an effective strategy for EFL students’ reading comprehension. However, its practice in EFL literature classrooms has received scarce attention. To fill this practical gap, this article reports on the adoption of read alouds 2.0 in a tertiary EFL literature classroom. The read aloud 2.0 aims to help students make meaning of literary texts. In this practice, blended discussion was carried out through Edmodo as a learning platform for virtual engagement between teacher and students and between students and their peers. The implication of this practice is that both teachers and students maximize their engagement with literary texts both face-to-face and virtually.
A way to compute a greatest common divisor in the Galois field (GF (2^n ))

This paper presents how the steps that used to determine a multiplicative inverse by method based on the Euclidean algorithm, can be used to find a greatest common divisor for polynomials in the Galois field (2^n ).
Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk

This paper presents an expert risk evaluation system developed and based on up-to-date empirical study that uses a real data from huge number of software projects to identify the most factors that affect the project success.Software project can be affected by a range of risk factors through all phases of the development process.Therefore, it has become necessary to consider risk concerns while developing the software project.Risk assessment and management play a significant role in avoiding failure of the software project, and can help in mitigating the effect of the undesirable events that could affect the project outcomes.In this paper, the researchers have developed a novel expert fuzzy-logic tool that can be used by project decision makers to evaluate the expected risks .The developed tool helps in estimating the risk probability based on the software project's critical success factors.A user-friendly interface is created to enable the project managers to perform general risk evaluation during any stage of the software development process.The proposed tool can be helpful in achieving effective risk control, and therefore improving the overall project outcomes.
An Optimal Software Test Case Mechanism using Grey Wolf-FireFly Method

Software testing is a major technique for designing the software without fault and use the resources efficiently for the development of any software.The software bugs can be detected by the process of executing an application or a program.Test Case Generation (TCG) is a method to identify the test data and satisfy the software testing criteria.An automatic TC technique automatically determines where the TC or test data generates by utilizing search based optimization method.In this paper, Gref-Wolf and Firefly algorithm (GWFF) method is used for optimization of TC and generation of path coverage within the minimal execution time.In general, the challenging task is constraint handling in which the fitness function is directly affected by updating the positions of the searching agents.In proposed method, there is no direct relation between the fitness function and search agents, because the agents update their positions with respect to the locations of alpha, beta and delta.Experimental results showed that the GWFF method helped to generate path convergence within minimal execution time.Comparing to the existing methods such as Bee Colony Algorithm (BCA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS), the proposed GWFF method provided better performance in terms of fitness values.
Purpose of using Internet and Preference of Location for Access to Internet by Agricultural Research Scholars while using Internet of Agriculture Science in MPUAT, Udaipur (Rajasthan), India

The present study was conducted at Rajasthan College of Agriculture, MPUAT, Udaipur.The RCA was selected because it is the oldest agriculture college in Rajasthan state and have adequate facilities of internet surfing
Estimation and uncertainty quantification for the output from quantum simulators

The problem of estimating certain distributions over {0, 1}d is considered here. The distribution represents a quantum system of d qubits, where there are non-trivial dependencies between the qubits. A maximum entropy approach is adopted to reconstruct the distribution from exact moments or observed empirical moments. The Robbins Monro algorithm is used to solve the intractable maximum entropy problem, by constructing an unbiased estimator of the un-normalized target with a sequential Monte Carlo sampler at each iteration. In the case of empirical moments, this coincides with a maximum likelihood estimator. A Bayesian formulation is also considered in order to quantify uncertainty a posteriori. Several approaches are proposed in order to tackle this challenging problem, based on recently developed methodologies. In particular, unbiased estimators of the gradient of the log posterior are constructed and used within a provably convergent Langevin-based Markov chain Monte Carlo method. The methods are illustrated on classically simulated output from quantum simulators.
Genetic Algorithm for Data Exchange Optimization

Dynamic architectures have emerged to be a promising implementation platform to provide flexibility, high performance, and low power consumption for computing devices.They can bring unique capabilities to computational tasks and offer the performance and energy efficiency of hardware with the flexibility of software.This paper proposes a genetic algorithm to develop an optimum configuration that optimizes the routing among its communicating processing nodes by minimizing the path length and maximizing possible parallel paths.In addition, this paper proposes forward, virtually inverse, and hybrid data exchange approaches to generate dynamic configurations that achieve data exchange optimization.Intensive experiments and qualitative comparisons have been conducted to show the effectiveness of the presented approaches.Results show significant performance improvement in terms of total execution time of up to 370%, 408%, 477%, and 550% when using configurations developed based on genetic algorithm, forward, virtually inverse, and hybrid data exchange techniques, respectively.
An E-Learning based Recommendation System for Semantic Web: A Survey

The recommender systems are the technique of processing and evaluation of user behavioral data in order to suggest the resources according to user needs.In e-learning system, it is actually used to suggest resources and relevant contents to learners.Thus e-Learning recommender system is a technique to identify requirements of learner to provide relevant learning content.In this paper current state-of-art for the e-learning recommendation system is reviewed.In addition of that recent research work in the direction of enhancing the user's experience in online learning is also reported.
Browsing Behaviour Analysis using Data Mining

Now-a-days most of our time is spent online using some form of digital technology such as search engines, news portals, or social media websites.Our online presence makes us engaged most of the time and leads us to become oblivious of our important work, resulting in a form of procrastination that decreases our productivity significantly.Some desktop and mobile applications have recently emerged to counter the problem by introducing various means of self-tracking to reduce the wasting of time and engage in productive activities.However, these systems suffer several shortcomings in terms of being static or providing a limited view of actions using one aspect only.To promote self-awareness that helps bring positive changes in individual's performance, there is a need to present the data in a more persuasive ways, bringing interaction to it and present the same data in different ways using both temporal and categorical dimensions.We describe a framework that collects and processes the browsing data and creates a user behavior model to extract valuable and interesting temporal and categorical patterns regarding user online behavior and interests.To discover the valuable behavior patterns from the individual's browsing data, different web usage mining techniques have been used.Finally, we demonstrate interactive visualizations for the analysis and monitoring of web browsing behavior patterns with the goal of providing the individual with detailed understanding of his/her behavior.We also present a small-scale study including university students, which proves the importance of our work.
A COLLABORATIVE STUDY IN IMPROVING COMPETENCY IN SPEAKING SKILL BY USING “JAZZ CHANT TECHNIQUE” OF THE STUDENTS GRADE FIVE AT SD NEGERI 2 BANJAR TEGAL SINGARAJA

The recent study was conducted to improve the competence of the students grade five of SD Negeri 2 Banjar Tegal Singaraja in speaking capability by applying Jazz Chant Technique. The subjects of the study were the second-year students of SD Negeri 2 Banjar Tegal Singaraja, especially those who belong to class V. The total number of the subjects was 17 students, 10 males, and 7 females. This study was conducted in two cycles. Each cycle consisted of two sessions. The first sessions were done for the treatment and the last session was for posttest. This study was an action-based classroom research that was conducted in two cycles in which four steps were involved in each cycle, namely; planning, action, observation, and reflection. Besides, the data were obtained through three kinds of an instrument; questionnaire, test, and researcher’s diary. A pre-test was given to the students before conducting the action to obtain the preliminary data of the students’ achievement in speaking capability. Then, the data obtained were descriptively analyzed. The study showed that the students’ competence in speaking capability improved. The continual improvement took place in the students’ achievement. It was shown by the students’ mean score, which increased from cycle to cycle. Students’ mean score was 54 in the pre-test, which was categorized as poor. After the treatment was conducted, it increased to a sufficient level of mastery 65 in post-test I. The second treatment was then conducted to get a satisfactory result since the results of students’ score were not satisfying yet. Finally, the students’ mean score could reach a good criterion, which was 80 in the post-test II. From the observation, it was found that Jazz Chant Technique allowed the students to collect their ideas, practice their pronunciation, intonation and organized their speaking capability through the song of Jazz Chant Technique that guided the students systematically in speaking capability so that they could produce good pronunciation in speaking. In addition, the technique also brought about a positive effect in fostering students’ motivation and interest in learning English.