Reviewerly/exHarmony huggingface dataset:
SMO classification for cervical cancer dataset by applying various kernels

This research work presents a decision making of healthcare operational system by using machine learning classifiers algorithm to predict the decision making in comparison to the actual decision making.This model may help to doctor for making the best decisions.This model helps us to prediction of indicators/diagnosis of cervical cancer.This study explains utilization of machine learning algorithms in determination of medical operation methods.This dataset focuses on the prediction of indicators/diagnosis of cervical cancer.The results show that SMO in RBF Kernel parameter for this case study generates highest accuracy level of 87.5%.I. INTRODUCTION Machine learning in today's healthcare is unavoidable.Optimists predict that machine learning and artificial intelligence will diagnose disease better and earlier, treat illness more precisely and engage patients more efficiently in future healthcare.In recent years instances in healthcare such as medical image processing and analyzing, predicting healthcare operational decisions, dosage trials for intravenous tumor treatment detection and management of prostate cancer.In this paper organizes section one has related works and brief introduction of this fields, section two presents Materials and Methods, the section three describes results and discussions and the section four presents conclusion. II. MATERIALS AND METHODSIn this section presents the materials and methods of this research work.Here the dataset borrowed from https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29# .In this dataset contains information about The dataset comprises demographic information, habits, and historic medical records of 858 patients.In this research work applied in weka 3.8.3version for SMO classification method by applying various kernels namely Polykernel, Normalized Polykernel, Puk, and RBF Kernel were applied to calculate for predicting caesarian section operational decisions
Image style transfer using convolutional neural networks based on transfer learning

The purpose of an image style transfer system is to extract the semantic image content from the target image and then using a texture transfer procedure display the semantic content of target image in the style of the source image. The uphill task in this context is to render the semantic content of an image but with the advent of convolutional neural networks, image representations have been made much more explicit. In this work, we explore the method for image style transfer using transfer learning from pre-trained models of convolutional neural networks (CNN). Use of these models gives us the power to produce images of a high perceptual quality that are a union of the content of an arbitrary image and the appearance of renowned artworks. Further, this paper compares pre-trained CNN models for image style transfer task and highlights the potential of CNN to deliver appealing images using modern manipulation techniques.
Etho-morphology using smartphone apps to identify aves

Identification skills are indispensable in field activities. With the approach of etho-morphology assisted smartphone application makes it easier for students to identify Aves in Zoology Vertebrate course. We developed i-bird applications in smartphones that are used to identify the Aves based on their morphology on field activities. The purpose of this research is to describe the ability of student identification in field activity of the course. Using quasi experiment, this research involved 93 prospective Biology teachers which were conducted at Bandung Zoo. The results showed that the identification skills of prospective biology teacher were in sufficient category (2.78). The results of the analysis of several indicators of identification skills indicated that the highest identification is in indicator 1 (I-1 = 3.33) that is to write the morphological characteristics of each species based on morphology. The lowest identification skills indicator was found in indicator 5 (I-5 = 2.49) that is making a simple determination key. The identification skills of prospective Biology teachers are in sufficient category, therefore it needs to be improved in the future with various appropriate approaches or methods. Through questionnaires we found that low ability of students to make simple determination keys due to limitations of camera resolution.
Working with freelance content writers: Overflow, part 1

Many marketing and communications offices aren't always in the position to create a new position or fill a vacated spot on the team. Despite a smaller staff, work does not decrease. Sometimes this means projects are put on hold or take longer than anticipated. When it comes to content-related efforts, a freelance writer could make a great, temporary addition to your team.
Electrical Installation Training For Kelompok Karang Taruna Bencongan Indah

Community service activities aim to provide skills to partners regarding the installation of electricity at home or residence also provide an understanding of the dangers posed by the electricity. And it is expected that the target partners will be able to transmit their abilities to the surrounding community as well as other members of the Youth Organization (Karang Taruna) from Bencongan Indah, Tangerang. The approach method in solving existing problems is by conducting Technology Transfer Methods in the form of direct training. Implementation Activities of The Community Service Program is divided into three stages, namely preparation, implementation, and stages monitoring.&#x0D; Participants can take part in the activity well. It can be seen from the amount of curiosity they had about the material provided. Follow-up activities are carried out after the participants have applied some of the knowledge conveyed by the Service Team. Follow-up activities are intended to determine the impact of this activity. The activity is in the form of an obligation for participants to re-practice and understand the dangers of electricity and how to secure, read installation drawings, measure voltage, detect broken connections and can install home lighting with various switches and sockets in accordance with the requirements General Electrical Installation (PUIL). The results of the evaluations that have been conducted, it can be seen that the participants' knowledge to install lighting in the house increases and opens the mind of the participants to take advantage of the opportunities available to increase income. About 85% of participants actively responded positively to the skills and knowledge conveyed by the team.
Geographic Information System for Selection of Freshwater Fish Cultivation Land Using Logic Scoring of Preference (LSP) Method

Determining the right land for fish farming is very influential in achieving optimal land productivity to reduce the impact of time and financial losses.This thesis study aims to develop a Geographic Information System for the Selection of Freshwater Fish Farming Land Using the Logic Scoring of Preference (LSP) Method.Analysis of land suitability data using the LSP method, the results as a material for decision making in land selection.LSP method has a consistency with properties that can be observed from consideration of human evaluation.The results of this study are in the form of a system that can be used for the selection of fish cultivation land based on the LSP method and visualized in the Geographic Information System (GIS).The results of the calculation of land suitability of thirty-six alternative land in the case study in Kerinci Regency, then obtained alternative land that has a high level of suitability Pendung Mudik the suitability value of 0.96 is the best alternative based on LSP calculation results.Validation of LSP calculation and expert assessment is 80,55%.
A Study on the Effects of Travel Product Distribution Channels Perception on Channel Satisfaction, Channel Reliability and Channel Loyalty

A Study on the effects of travel product distribution channels perception on channel satisfaction, channel reliability and channel loyalty. The investigator built a theoretical system about the perceptions of travel product distribution channels and channel satisfaction, reliability and loyalty by reviewing previous studies, established a model by reviewing causal relations among the variables and set total five hypotheses accordingly. In an effort to test the hypotheses, the investigator conducted a survey with tourists that had an experience with purchasing an overseas travel product via various distribution channels at the International Terminal of the Incheon International Airport on September 1~30, 2017. The study measured relations between the perceptions of travel product distribution channels and channel satisfaction and found that three consumer perceptions of such channels, which were economy, convenience, and service, had significant effects on their channel satisfaction. The study measured relations between consumer perceptions of such distribution channels and their channel reliability and found that their perceptions of economy had no significant effects on their trust in the personnel and travel products. As for relations between channel satisfaction and reliability, channel satisfaction had significant impacts on channel reliability and also channel loyalty. There were significant influential relations between channel reliability and loyalty, but brand reliability did not have any significant influences on word of mouth intention. The findings are expected to provide important directions and meaningful implications for marketing strategies highlighting the characteristics of each travel product distribution channel according to the travel product distribution channels of travel agencies and serve as basic data for follow-up study.
IMPLEMENTASI PEMBELAJARAN MEMBACA BERITA MELALUI PEMODELAN

Type of the research is classroom action research. The subject of this research is the students class XI IPS 1 has 30 students in academic year of 2014/2015 semester 2. Implementation of this research is to do 2 cycles, which consist of four activities, that (a) planning, (b) implementing, (c) observing, (d) reflecting. Based on the result of research, it can be known that: The competency of reading news students class XI IPS 1 Madrasah Aliyah Negeri 1 Bojonegoro is good. Implementation of modeling students class XI IPS 1 Madrasah Aliyah Negeri 1 Bojonegoro is good. Based on the computation of the implementation of modeling to increase the competency of reading news students class XI IPS 1 Madrasah Aliyah Negeri 1 Bojonegoro, the first cycles of mastery learning is 56.67%, while for the second cycle of mastery learning is 80%. From the data, the mastery learning from the first cycle to the second cycle has significant increasing. So, it can be said that the implementation of modeling can increase the competence of reading news.
Keefektifan Pembelajaran Menulis Cerita Fantasi dengan Model Sinektik Berdasarkan Kecerdasan Linguistik

Abstract The aim of this research is analyzes the effectiveness of learning to write fantasy stories using the synectic model based on the linguistic intelligence of class VII junior high school students. Fantasy story material in the 2013 curriculum at grade VII junior high school requires teachers to be more creative. Creativity teachers learn by using models in learning. From the results of this research it can be proven that there is effectiveness in learning to write fantasy stories using the synectic model based on linguistic intelligence. The method used in this research is a quasi experiment with data collection techniques using instruments: tests of writing fantasy stories, linguistic intelligence tests, observation of attitude, photos, and interviews. Data normality test using the Kolmogorov Smirnov test. Data homogeneity test using Levense test. Hypothesis testing uses an independent test (t-test). All of these test use the SPSS 20 th program. The conclusions of the results of this research is that the application of the synectic model is effectively used in learning to write fantasy story texts based on the linguistic intelligence in class VII junior high school students. Learning to write fantasy stories using the synectic model is more effectively applied to students with high average linguistic intelligence than students with average linguistic intelligence.
University Curriculum Development and Management Based on Korean National Competency Standards: A Case Study

reflecting industry needs.Among them, the National Competency Standards (NCS) that sought to systematize the knowledge, skills, and attitudes required to perform jobs at different levels were developed.To date, NCS is leading to a shift in the curriculum of high schools, colleges, and public and private vocational training institutions.The K University was the first university to develop and manage an NCS based curriculum.This study analyses the cases of NCS based curriculum development and management of K university in Korea through cases study method.As a result of this study, K university developed NCS based curriculum at nine levels and managed systematically by introducing plan, do & check, Act.This means that K university has increased its efforts to better reflect the needs of the industry in the curriculum.By benchmarking the case of The K University's NCS based curriculum development and management process, this study explores the possibility of applying NCS to college education, providing guidance and implications for overseas universities hoping to develop and introduce NCS based curriculum.
Adaptable software stage development

The exploratory paper investigates Adaptability in general and the Adaptable Tools in particular in quality of Engine to develop Computer Software and Software for Artificial Intelligences.The paper aims to open the discussion around the impact that Adaptable Tools might have on Information, Knowledge Based and Consciousness Societies, Human-Robotic Societies of Information Era.Paper employs an exploratory literature review investigating the past and current state of the art in relation to Adaptability as Engine to create Software for Computers and Artificial Intelligences in Information Era.This literature review serves as the starting point of subsequent theorizing.Based on the literature review we theorize that the Adaptability in general and Adaptable Computing Industry in particular achieves horizon of creation Software for different generations of Computers and Artificial Intelligences with creativity, emotions, temperaments, and sentiments.In this process there are developed new Engine -the Robotic Adaptable Tools (RAT).To name just a few uses of RAT, its can help in: supporting definitions of new robotic intelligence entities, its stratification, and its algorithmic presentation; RAT therefore improve robotic skills and competences; RAT generate requirements for new robotic competences and promote collaborative environment among the Actors of Human -Robotic Society.This paper opens the discussion around succession in creation Software for different generations of Computers and Artificial Intelligences using Adaptable Tools and suggests a wide range of areas for further research in the branch of Robotic Industry.In this paper we argue that by looking at Robotic Adaptable Tools as more than just a set of tools for improving robotic intelligences a Robotic Industry can address some pitfalls of a particular type of Artificial intelligences for Consciousness Society.Adaptable Tools have been developed as part of Software for Computer Industry and they have used in creating Computer Systems for different generations of computers.Robotic Adaptable Tools are a new, but increasingly popular approach, which has been shown to be powerful in many areas of Artificial intelligences creation process.This paper is novel in that it initiates a dialogue around the impact that Robotic Adaptable Tools might have on Robotic Industry.
Legacy Library: Google and the Internet: Home

This guide is intended to provide helpful tips and tricks for using Google and other search engines to find good quality information.
IMPROVING ENGLISH WRITING SKILL OF ELEMENTARY STUDENTS BY USING WHAT’S MISSING METHODS

This study aims to determine the effect of students' writing skills on English subjects using the 'What Missing' method. This study used a quasi-experimental research method with the research design of Nonequivalent Control Group Design. The population subjects in this study were 6 th grade students of Kampung Melayu 1 Elementary School 1 Tangerang Regency. Data collection techniques using question instruments test essay writing skills To test the pretest hypothesis in this study used the t test, from the results of the t test obtained obtained t count = -0.3 &lt;t table = 2.00. Whereas for testing the posttest hypothesis from the results of the t test it is obtained thitung = 6.06&gt; t table = 2.00, it can be concluded that there is a significant effect between the posttest value of the control class and the experimental class. This can be interpreted that the use of the What’s Missing method is very influential on students' English writing skills.
DESIGN AND IMPLEMENTATION OF DYNAMIC KEY BASED STREAM CIPHER FOR CRYPTOGRAPHIC PROCESSOR USING PIPELINING ARCHITECTURE

In this paper, a new design for dynamic key based stream cipher is proposed for the hardware cryptographic applications such as data transmission and information security. Unlike the static key based existing stream ciphers, the key stream is usually fixed which is either a public key or a private hardware key. However, in this proposed design, we have constructed the dynamic key stream the novelty of this proposed stream cipher is based on dynamic key, generated by Toeplitz hash function which is used as a key for RC4 stream cipher. Further, this key is used to generate the dynamic hardware key for the cryptographic processor. In an effort to increase the speed via pipelining it is proposed to Toeplitz Hash Function algorithm.Keyword: Hash Function; Key Generation; Hardware Security; RC4 Stream Cipher; HDL; FPGA
Energy Efficiency MapReduce Job Scheduling of Shuffle and Reduce Phases in Data Center

In this paper, job scheduling of shuffle and reduce phases is considered for data center with heterogenous servers to minimize energy consumption. Constructing task list and assigning tasks to slots are designed in a job scheduling framework. The construction of task list considers jobs’ deadlines and tasks’ processing times. Two main steps (candidate servers construction and allocate tasks) are in the proposed assignment. The set of candidate servers is constructed in terms of data size and network topology. Allocation of tasks and slots with normalized shuffle time and data size decreases completion times of jobs, in which shuffle time is calculated by two new bandwidth allocations considering deadlines. Experimental results show that the proposed job scheduling consumes less energy than other existing adapted task scheduling strategies.
PENERAPAN FEATURE WEIGHTING OPTIMIZED PADA NAÏVE BAYES UNTUK PREDIKSI PROSES PERSALINAN

Birth of a baby is something that is very desirable for every married couple. All parties expect safety for mothers and babies who have just been born. Medical personnel make various efforts to help the delivery process run smoothly and the mother and baby survive. But in the labor process not all the baby's birth process runs smoothly. Problems often occur during labor. There are several obstacles so that there is a risk of labor, namely maternal and infant mortality. Every mother wants to be able to give birth to a baby normally, but due to medical reasons the delivery process is done by cesarean. The act of choosing a type of delivery faster can affect the safety of the mother and baby. The selection of the cesarean method is carried out late so it will increase the risk of maternal and infant mortality. For this reason, it is necessary to conduct research by using labor delivery data so that they can choose the right type of labor. In this study the classification of maternity labor will be carried out with data mining methods, namely Naive Bayes, which are improved by using the Optimize Weight (PSO) method. Naive Bayes was able to produce a high accuracy value for processing labor data for mothers, namely 94%. The final results of this study obtained the value of naive bayes performance that can be improved by the Optimize Weights (PSO) method to be better at 98%
Pembuatan Model Kendali Mutu Data Sedimen

Special treatment for watershed management was needed due to severe of watershed condition in most regions in Indonesia. The treatment should be directed to comprehensive changes of management paradigm for all aspects in it. Those were indicated by the increasing of disasters around the watershed, such as floods, droughts, landslides, erosion and increased of sediment transported by the river basin. The increasing of sedimentation which occurs in the river flow will disrupt the performance of existing hydraulic structure in the river. The event could be monitored by hydrological data, especially with the continuously and accurately of discharge and sediment data. In order to solve the problem, sediment data quality control model was needed. The purpose of this research is to determined suspended sediment data quality control model, in order to have continuous and quality guaranteed of sediment transport data. The scopes of this sediment data quality control were making criteria and sub, determining rank priority between criteria and sub, arranging scoring form, trial and error, finalization. The model consists of three main stages, there are measurement of discharge and taking sediment sample (QC1), drawing of sediment rating curve (QC2), and conversion of discharge data to sediment transport (QC3).
A Study on Analyzing Pre-reading Activities of Chinese Reading Textbooks published in Korea

With a flood of information, there is an increasing demand for reading ability to quickly select and understand high-quality information, and interest in the pre-reading stages to enable learners to read more effectively. After considering the pre-reading stages and activities through analysis of Chinese reading textbooks published in Korea, we conducted research to contribute to the balanced development of reading education and development of effective reading textbooks. In particular, we actively analyzed contents that could be classified as pre-read activities throughout the textbook, rather than limiting the scope of the analysis to clearly presented pre-reading activities.
Virtual and Augmented Reality

Ding. The elevator doors open on a magnificent skyline... and then you look down. You’re standing on the edge of a building, a hundred stories off the ground. At your feet, a wooden plank extends 6 feet over the ledge in front of you. “Walk,” you hear a voice say. Against your better judgment, you inch out slowly, taking step over cautious step. As you reach the edge, you feel your stomach drop, and you almost lose your balance. However, you stabilize as the wind whistles around you. “Step off the plank,” the voice says. At this point, most people refuse to step off the plank, paralyzed by fear. Why would you want to fall to your death? However, you know that you are currently in virtual reality, seeing all of this through a headset strapped onto your face. You’re in a classroom, so there’s no way you’d get hurt. Of course you’d step off the plank. But your feet won’t move.