Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF LEARNING MEDIA LITERATION OF DRAWING STORY ANDROID BASED E-BOOK AGAINST INTEREST IN READING THIRD-CLASS OF ELEMENTARY SCHOOL

This study to develop literasy of drawing story based on android e-book and find Interest in reading improvement of student learning outcomes on the theme of love plant and animals, sub-one the benefits of plants of human life, exspecially in third-class of elementary school Terangmas Undaan Kudus.The resulting product is form of learning media.The resarch method used use media development with a qualitative approachto the method is Quasi Experimental Design and Nonequivalent Control Group. This research was conducted at Terangmas Elementary School as an exsperimental class and Medini elementary school as an control class.Value research results sig. Levene's Test for Equality of Variances of 0 . 206. Because the significance is more than 0 . 05 or can be served 0 . 206 &lt; 0 . 05 then it can be concluded that data varians between exsperiment groups and control groups are equally homogeneous.Then based on the table above also known that value sig.(2 tailed) t-test for Equality of Means of 0 . 000 &lt; 0 . 005. The results concluded that H 0 rejected and H a received. That means there are significant differences between the average reading interests of exsperiment class and cotrol class.
Macroeconomic View of Mergers and Acquisitions in the Technology Industry

The study analyses the overall effect of the mergers and acquisitions occurring as a part of the technology industry involving varied domains.In globalization and emerging markets, there is a growing interest in mergers and acquisitions for strategic expansions.Mergers and acquisitions open multiple economic and strategic factors to study, which makes it a unique and exciting subject of study.The research is conducted using diverse and global organization datasets covering domestic and cross-broader mergers and acquisitions.The research is conducted by analyzing and studying global acquisitions in technology domains.Further, this research estimates the number of cross border mergers and acquisitions in emerging economies and fully developed economies, considering macroeconomic factors of the country like GDP, inflation, interest rates, and forex rates.The technology industry is young and has led to multiple unique innovations.The freshness of the industry with this research brings in a unique perspective and a new model that could be pathbreaking for upcoming acquisitions.
An Investigation into Adolescents’ Self-perception as Readers

The purpose of this study is to investigate adolescents' (Grade 8, Grade 9, and Grade 10 students) self-perception as readers. The sample consisted of 184 students (91 males and 93 females). Students’ self-perception as readers were measured by using Reader Self-perception Scale 2 was developed by Henk, Melnick, and Marinak (2013). Descriptive statistics, independent sample t test, and one-way ANOVA were used for data analysis. This study showed that young learners’ self-perception as readers was satisfactory. According to the results of the t test, female students’ self-perception as readers was significantly higher than that of male students at p &lt; .05. One-way ANOVA revealed that Grade 10 students’ self-perception as reader specifically in progress category was highest among Grade 8, Grade 9, and Grade 10 students at p &lt; .01.
Autonomous Data CentersADC:usingAgent Role Locking Theory (ARL)

Modern society is defined as an Information society, because information is the main tool for this society, more than 70% of population in this society are working in information and data related jobs.Data is the raw facts of information, each single day more and more data is accumulated conducted by people, and even by machines that are connected to Data Centers (Cloud) , these data centers are holding a huge amount of data, defined as Big Data repositories.Data is the basic block to build information system to produce models about human behaviour and interests, as well as , models for machine's performance.Modern machines are oriented to be more autonomous and Smart.machines and devices, that connected to cloud which considered as the principle of Internet of Things (IoT).Currently, demand for data centers is rising, these centers give more competitive edge in customer services and better functionality, data centers may located in remote areas, that hard to be reached out , These data centers must be autonomous , continuously functioning and independent.This article presents Agent Role Locking Theory (ARL) to operate autonomous data centers without human intervention, first section we will talk about related work, second section will go through methodology to have autonomous data centers, third section ARL as smart agent oriented algorithm is applied and presented on real application readings , and finally we conclude this work
FPGA Implementation of PSO Based RGB-Y Filter

FPGA based RGB to Y(Luma) conversion is necessary in image denoising,video processing and computer vision applications.Generally our human eye is less sensitive to RGB color image and require more memory to store than, gray scale images.The gray scale image reduces the complexity, storage space, and increasing speed of operation for various real time image processing applications.The existed color space conversion used RGB streaming and data path elements are very high computational complexity in design and more power is dissipated.To overcome this drawback of existed design , the proposed fixed point RGB-Y color conversion filter uses efficient multi pixel streaming and constant coefficient multiplier.The RGB coefficients are optimized with PSO algorithm with different color standards.The designed multiplier and adder gives luma(Y) output for every RGB pixels at 24.09nsec speed of the targeted FPGA.The power dissipation of designed architecture is 204mw for each RGB window.
Dynamic Resource Allocation and Memory Management Using Machine Learning for Cloud Environments

In today's environment, large data has generated by various platforms, mobile computing is a kind of environment that generates such massive data in recent years.In those cases, heavy resources should be required to manage such data.This research basically proposed dynamic resource utilization using memory management with a large scale file system in the mobile environment.In mobile unnecessary generated cache or such file system generate unnecessary memory overhead of mobile device and it utilized major resources of device unnecessarily.To identify such data block and eliminate from execution will improve device performance and effective memory management.In this paper we proposed effective memory and resource management using machine learning technique and optimization.Some feature extraction techniques have been used from data block and previous pointer.System also reduces the processing overhead when system perform any transaction, the experimental analysis shows the effectiveness of proposed system with machine learning algorithms.
Science literacy empowerment for elementary school students at Kera Island Kupang Regency-East Nusa Tenggara

In the 21st century, science literacy is the main competence and indicator to achieve better and more sustainable future. However, limited facilities and resources raise as an issue that have implications to the less optimal application of science literacy empowerment in various regions, including in several areas in East Nusa Tenggara. The objective of this community service is to do mentoring program on the empowerment of science literacy for students at emergency schools in NTT. The target is school-age children living in the island who are subjected to illiteracy due to lack of supporting educational facilities. Methods implemented were through these four stages: (1) initial observation of the area, (2) mapping the problem, (3) socializing the programs, and (4) organizing the science literacy movement. The activities carried out were making educational learning media utilizing plastic waste, creating a reading corner equipped with some interesting books as additional references for children and parents to know about the outside world, creating educational games and actions for the natural surroundings. The results of the observation confirm that the community service program run effectively. It is indicated that the community service project is able to foster students’ interest in reading, writing, and arithmetic. This community service activity is expected to take part in the eradicating illiteracy rate and reducing number of productive age dropouts in East Nusa Tenggara Province.
A STUDY ON STUDENTS’ ABILITY IN READING DESCRIPTIVE TEXT; A CASE STUDY AT SMAN 1 SIKUR

This study was intended to find out the students’ ability in reading descriptive text. Reading skills are considered as an important skill and are uneasy to acquire. In this study, there were 40 students of the second year students of SMAN 1 Sikur are involved as the subject of this study. The method used in this research is a quantitative study. In collecting the data, the writer used a reading test. The data were analyzed through basic statistical computation. To find out their ability and difficulties in reading descriptive text, the test was used which consists of 25 items to students in the form of multiple choice. The test score for each item was 0.4 points. The result of data analysis showed that the mean score of the second year students of SMAN 1 Sikur in reading the descriptive text was fairly good. There were 21 (52.5%) students who were in a high position and 19 (47.5%) students were in a low position. Although 52.5% of students in a high position and 47.5% in a low position, the students’ mean score shows a low position, it is 7.2 mean score which classified as fairly good. Therefore, the ability of the second year students of SMAN 1 Sikur has not been in a high position which is categorized from excellent to good score level. This is caused by the lack of reading strategy and vocabulary. The two weaknesses become students’ difficulties in reading descriptive text.
A Novel approach to Secure Patient Data in Cloud Storage

Cloud Data's are vulnerable to malicious threats.Among the data that are stored in cloud, patient record stored by hospitals is profound to be sensitive.Security breaches are common in public cloud.In order to address this issue, a novel hybrid approach is provided in this paper.New round functions are introduced to increase the security level.To encrypt text data, stream cipher Chacha is utilized.Though Chacha cipher has been cryptanalyzed by many authors, still it is not feasible to attack this cipher in polynomial time.Next, to secure the scan images of the patients, two different encryption algorithms are utilized, namely, Advanced encryption standard (AES) and Blowfish.The encrypted data and images are finally stored in the cloud.It is observed that even if the adversary gets hold of the data, they cannot decipher to the original data in polynomial runtime.
Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer

Image neural style transfer is a process of utilizing convolutional neural networks to render a content image based on a style image. The algorithm can compute a stylized image with original content from the given content image but a new style from the given style image. Style transfer has become a hot topic both in academic literature and industrial applications. The stylized results of current existing models are not ideal because of the color difference between two input images and the inconspicuous details of content image. To solve the problems, we propose two style transfer models based on robust nonparametric distribution transfer. The first model converts the color probability density function of the content image into that of the style image before style transfer. When the color dynamic range of the content image is smaller than that of style image, this model renders more reasonable spatial structure than the existing models. Then, an adaptive detail-enhanced exposure correction algorithm is proposed for underexposed images. Based this, the second model is proposed for the style transfer of underexposed content images. It can further improve the stylized results of underexposed images. Compared with popular methods, the proposed methods achieve the satisfactory qualitative and quantitative results.
The Effect Of Implementation Point, Illustration, And Explanation Toward Student’s Motivation In Writing Skill

This research aimed to find out the effect of implementation Point, Illustration, and Explanation towards students’ motivation in writing skill for first grade of MA Darunnajah Al-Falah in academic year 2019/2020 whether there is any possitive effect or not. The method of this research was experimental research (pre-experimental pre-test post-test design). The population of this research was all of the first grade students o MA Darunnajah Al- Falah which is consisted of one class. The samples were all population. Students had the test before treated by using Point, Illustration, and Explanation strategy and the instrument used essay test and questionnaire. The result of the research showed that, there was significant effect of Point, Illustration, and Explanation towards students’ motivation in writing. The result of the data analysis showed that t-test was 4.684 and the result of t-table was 1.703 in significance level 0.05.It meant that the score of t-test was higher than t-table (4,684 &gt; 1.703 ). Therefore, Null Hypothesis (Ho) was rejected and Alternative Hypothesis (Ha) was accepted. From the result of data analysis above, the researcher concluded that through the implementation of PIE there is possitive effect towards students’ motivation in writing skill in the first grade students of MA Darunnajah in academic year 2019/2020.
IMPLEMENTATION OF INVESTIGATION GROUP LEARNING MODEL IN IMPROVING THE ABILITY OF WRITING NEGOTIATION TEXT IN VOCATIONAL SCHOOL

Negotiation itself is actually closely related to the daily lives of students. Negotiations are usually carried out by everyone in their daily lives, because negotiating means trying to reach an agreement, in everything. This study implements the investigation group model in the study of negotiating texts. The research objectives are to 1) describe the results of research in the classroom using the investigation group learning model and 2) to describe student learning outcomes. The research method used is an experimental method with a type of non-equivalent control group. The results showed an increase in students with SPSS calculation results was 0.001, meaning that the resulting data was less than 0.05 significance. This means that the instructor writes negotiating texts using the group investigation model is considered successful.
Multi-Grid Phase Field Skin Tumor Segmentation in 3D Ultrasound Images

In many systems of computer vision, image segmentation plays a vital role. To locate objects and boundaries in images, image segmentation is used. The quality of segmentation of the image determines the performance of recognition algorithms and there is no universal segmentation algorithm available till date. In medical imaging applications, boundary detection has been renowned as one of the intricate problems in image processing and pattern analysis, in particular. The problem is complex because of other information corrupting the lucidity of the image. Design of segmentation algorithms for Medical images is an active research area and segmentation algorithms are designed to account for noise, intensity inhomogeneity, low contrastbetween the lesion and the surrounding skin etc.The proposed system on segmenting medical images using the level set segmentation in python 3.7 using the Pycharm windows interpreter.The results shows that the efficient segmentation of the background and foreground pixels are achieved.
Formation of the electronic educational environment of the university in the conditions distance learning

The article discusses the psychological and pedagogical aspects of electronic resources using in university education.The relevance of this topic is due to the growing role of distance learning in modern conditions.The purpose of this work is to analyze the factors that determine the effectiveness of distance learning at the university level and affect the quality of electronic educational resources.As a result, recommendations were prepared for monitoring students' knowledge using electronic testing and a number of factors were identified that affect the effectiveness of distance education.
An Optimization on Task Scheduling for Makespan, Energy Consumption, and Load Balancing in Cloud Computing Using Meta-Heuristic

The huge demand for cloud computing, it creates several problems such as makespan, energy consumption, and load balancing.Task scheduling is one of the technologies that have been applied to solve those objectivities.However, task scheduling is one of the well-known NP-hard problems, and it is difficult to find the optimum solution.To solve this problem, previous studies have utilized a meta-heuristic method to find the best solution based on the solution spaces.This study aims to compare four meta-heuristic such as the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Clonal Selection Algorithm (CSA), and Bat Algorithm (BA) to solve the multi-objective task scheduling to achieve the optimum solution.This study converts three objectivities into single objectivity optimization with each objectivity act as variable assigned with the weight that presents its priority and has implemented those meta-heuristics.The simulation result from sixteen datasets that have been grouped into three for a small dataset, medium dataset, and large dataset.In small and medium dataset BA able to outperforms others while in large dataset PSO shows better performance.
Effect of Employee Political Skills on Employee Performance in Kenyan Universities

The objective of this study was to determine effect of employee political skill on employee performance in Kenyan universities.The study was grounded by social exchange theory in positivism study and adopted explanatory research design.Data was collected using questionnaire from a sample size of 567 academic and non-academic staff that were randomly selected from target population of 6147 employees in Kenya.The reliability of the data collection instrument was presented using Cronbach Alpha while factor analysis was used to validate the instrument.The study findings revealed that Employee Political skill had a positive and significant effect on employee performance (β=.467, p< .05).This finding implies that universities that equip employees with political skills are likely to experience high job performance.The study recommends leaders in institutions to instil the resource of employee political skill so as to enrich performance among employees.
The role of family and culture in the development of emotional intellect

The aim of the study is to determine the influence of family and culture on emotional intellect and to study the causes of various psychological factors.&#x0D; The methodological basis of the study is the relationship between cognitive and emotional factors in the behavior of individuals, theories and experiments related to emotional intellect.&#x0D; The scientific novelty of the research is the study of the influence of family and cultural environment on the development or weakening of emotional intellect.&#x0D; Output. Positive emotions that parents send to their children create conditions for the development of their emotional intellect, and negative emotions for lagging behind the level of emotional intellect. This, in turn, gives an impetus to the formation of certain psychological qualities in them. Social norms, gender and culture that play a role in the formation of the family environment are involved in the formation of the emotional intellect of the individual through the family. In a family, the emotional attitude of parents towards children and methods of emotional education influence the formation of the character of their future personality. Considering that people share their emotions mainly with close family members, we can say that the family is the main social mechanism that determines, directs and regulates the emotional state of society. The weakening and deterioration of this mechanism can lead to emotional imbalance in society. This is confirmed by the fact that young people belonging to criminal and deviant groups come mainly from disadvantaged families.
An Efficient Hardware Implementation of Data Compression using Modified Golomb Rice Coding Architecture

Golomb coding is a loss-less data compression method using a family of data compression codes. Rice codes are a class of Golomb codes in which the divisor is valid only when it can be expressed as power of two. This work aims to increase compression by further encoding the unary part of the Golomb Rice (GR) code to decrease the numberof bits used. The algorithm was developed and coded in Verilog Hardware Description Language (VHDL) and simulated using Modelsim. The modifications carried out and reduction in bits used for a linearly distributed data set. Worst-case delays have been reduced acceptable level. Area reduction varies for different methods. An approximate 4% to 7% reduction in power consumption is observed. Modified Golomb Rice coding is used to compress multiple data types, which should ideally have a geometrical distribution.
Pengaruh Metode Reading, Presenting, and Questioning (RPQ) dan Metode Experimenting and Discussion (ED) Terhadap Hasil Belajar Kognitif Ditinjau dari Pengetahuan Awal Siswa

Learning methods are needed so that students are more active in learning, as Reading, Presenting and Questioning (RPQ), and the Experimenting Discussion (ED) method. The purpose of this study is 1) to find out whether there are differences in cognitive learning outcomes with the RPQ and ED methods in terms of students' initial knowledge. 2) To determine whether there is influence of cognitive learning outcomes by the RPQ and ED methods without students' initial knowledge This type of research is a quasi-experimental design with pretest-posttest control group design. The study population was all eighth grade students. This study uses a clusser random sampling technique in sampling. The study sample was students of class X Mia 1 as experimental class I and X Mia 3 as experimental class II. The data collection technique used is a test. Research instruments include RPP, Physics Articles, LKPD, and Pretest and Posttest Questions. Based on the results of the study using a childova test assisted by SPSS 23 software, it was obtained 1) Significant value was obtained at 0.001 and smaller than 0.05 so it was rejected, meaning that there were differences in students 'cognitive learning outcomes using the RPQ method and ED method in terms of students' initial knowledge. Significant value obtained by eliminating the covariate variable (initial knowledge) is 0.088 and greater than 0.05, it is accepted, meaning that there is no effect on students 'cognitive learning outcomes using the RPQ method and ED method without the students' initial knowledge. Based on the analysis it can be concluded that the initial knowledge used as an influential covariate variable on students' cognitive learning outcomes on the use of the RPQ and ED methods.