bluuebunny/crossref_metadata_2025_split huggingface dataset:
How does training shape English-Chinese sight translation behaviour?
Authors: Ho Chen-En , Chen Tze-Wei , Tsai Jie-Li 
Published: March 2020

AbstractThis study investigated cognitive aspects of sight translation by analysing the reading behaviour in the process and the output. In our empirical study, two groups of participants—interpreting trainees and untrained bilinguals—carried out three tasks: (a) silent reading, (b) reading aloud, and (c) sight translation. The results show that the two groups were almost identical in the first two tasks, further substantiating the similarity of their language command, but were drastically different in how they tackled sight translation. Interpreting trainees provided much more accurate, fluent, and adequate renditions with much less time and fewer fixations. However, their efficiency at information retrieval was statistically similar to that of the untrained bilinguals. Thus, interpreting trainees were more efficient by being more “economical” during reading, rather than by reading ahead faster, as some would intuitively expect. Chunking skills seem to have also been at play behind their remarkable performance.
Effective mixing due to oscillatory laminar flow in tubular networks of plasmodial slime moulds
Authors: Haupt Michael , Hauser Marcus J B 
Published: March 2020

Abstract
The plasmodium of the unicellular slime mould Physarum polycephalum forms an extended vascular network in which protoplasm is transported through the giant cell due to peristaltic pumping. The flow in the veins is always parabolic and it performs shuttle streaming, i.e., the flow reverses its direction periodically. However, particles suspended in the protoplasm are effectively and rapidly distributed within the cell. To elucidate how an effective mixing can be achieved in such a microfluidic system with Poiseuille flow, we performed micro-particle imaging velocimetry experiments and advected virtual tracers in the determined time-dependent flow fields. Two factors were found to be crucial for effective mixing: (i) flow splitting and flow reversals occurring at junctions of veins and (ii) small delays in the reversals of flows in the veins at a junction. These factors enhance the distribution of fluid volumes and hence promote mixing due to chaotic advection. From the residence time distributions of particles at a junction, it is estimated that about 10% of the volume is effectively redistributed at a junction during one period of the shuttle streaming. We presume that the principles of mixing unravelled in P. polycephalum represent a promising approach to achieve efficient mixing in man-made microfluidic devices.
Effect of ECH/ECCD on energetic-particle-driven MHD modes in helical plasmas
Authors: Yamamoto S. , Nagasaki K. , Nagaoka K. , Varela J. , Cappa Á. , Ascasíbar E. , Castejón F. , Fontdecaba J.M. , García-Regaña J.M. , González-Jerez Á. , Ida K. , Ishizawa A. , Isobe M. , Kado S. , Kobayashi S. , Liniers M. , López-Bruna D. , Marushchenko N. , Medina F. , Melnikov A. , Minami T. , Mizuuchi T. , Nakamura Y. , Ochando M. , Ogawa K. , Ohshima S. , Okada H. , Osakabe M. , Sanders M. , Velasco J.L. , Weir G. M. , Yoshinuma M. 
Published: March 2020

Abstract
The effect of electron cyclotron heating (ECH) and electron cyclotron current drive (ECCD) on energetic-particle (EP)-driven magnetohydrodynamic (MHD) modes is studied in the helical devices LHD, TJ-II and Heliotron J. We demonstrate that EP-driven MHD modes, including Alfvén eigenmodes (AEs) and energetic particle modes (EPMs), can be controlled by ECH/ECCD. In the LHD device, which has a moderate rotational transform and a high magnetic shear, co-ECCD enhances toroidal AEs (TAEs) and global AEs (GAEs), while counter-ECCD stabilizes them, which improves the neutron rate compared with the co-ECCD case. Counter-ECCD decreases the core rotational transform and increases the magnetic shear, strengthening the continuum damping on the shear Alfvén continua (SAC). In the TJ-II device, which has a high rotational transform, moderate magnetic shear and low toroidal field period, helical AEs (HAEs) appear when the HAE frequency gap of the SAC is changed by counter-ECCD combined with a bootstrap current and neutral-beam-driven current. On the other hand, both co- and counter-ECCD are effective in stabilizing GAEs and EPMs in the Heliotron J device, which has a low rotational transform and low magnetic shear. The experimental results indicate that the magnetic shear has a stabilizing effect regardless of its sign. Modeling analysis using the FAR3d code shows that the growth rates are reduced by both co- and counter-ECCD in Heliotron J, reproducing the experimental results. ECH only affects EP-driven MHD modes, and the experimental results show that the effect depends on the magnetic configuration. In Heliotron J, some modes are stabilized with an increase in ECH power in the low-bumpiness magnetic configuration, while some modes are destabilized in the high- and medium-bumpiness magnetic configurations.
The effect of driving on model C interfaces
Authors: Dean David S , Gersberg Paul , Holdsworth Peter C W 
Published: March 2020

Abstract
We consider the effect of uniform driving on the interface between two phases which are described by model C dynamics. The non-driven system has a classical Gaussian interface described by capillary wave theory. The model under driving retains Gaussian statistics but the interface statistics are modified by driving, notably the height fluctuations are suppressed and the correlation length of the fluctuations is increased. The model we introduce can also be used as a model for the effect of activity on interface dynamics.
Application of Android System for Anti-Drug Information
Authors: Maiyana Efmi , Susanti Mira , Supratman  , Tria Yuninda , Ramdalel  
Published: March 2020

Abstract
Drugs caused the rehabilitee and damage the behavior and mind of men. Then, it’s also cause the future life of youth come dullness. Other while, the circulation of drug sale has been using the technology information to catch the target of the target of drugs users. There are many young generation use android. So the android can purposed to prevent the drugs consumption in the youth life. The research in to build an anti drugs application on android basic. It’s function to held an interactive dialogue and accommodate the youth creativity, then drug education regarding to improve the service and the young generation care in millennial age for drug mobility eradicating.
Optimization Sentiments of Analysis from Tweets in myXLCare using Naïve Bayes Algorithm and Synthetic Minority Over Sampling Technique Method
Authors: Saputra Dedi Dwi , Gata Windu , Wardhani Nia Kusuma , Parthama Ketut Sakho , Setiawan Hendra , Budilaksono Sularso , Yogatama Dimas , Hadiyatna Agus , Purnamasari Endah Putri , Pratama Bryan , Novianti Deny 
Published: March 2020

Abstract
Text mining can be used to classify opinions about complaints or not complaints experienced by XL customers. This study aims to find and compare classifications in the sentiments of analysis from the view of XL customers. This dataset was derived from tweets of XL customers written on myXLCare Twitter account. In text mining techniques, “transform case”, “tokenize”, “token filters by length”, “n-gram”, “stemming” were used to build classification and sentiments of analysis. Gataframework tools were used to help during preprocessing and cleansing processes. RapidMiner is used to help create the sentiment of analysis to search and compare two different classifications methods between datasets using the Naïve Bayes algorithm only and Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE). The results of the two methods in this study found that the highest results were using the Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE) with an accuracy of 86.33%, precision 82.85%, and recall ratio 92.38%.
The Optimization of Mastoid CT Image Using Windows and Kernel Reconstructions
Authors: Darmini  , Ari Setiyono Pamungkas , Rochmayanti Dwi , Nino Kurniawan Andrey , Nugroho Setiawan Agung 
Published: March 2020

Abstract
CT scan can be used to show the anatomical and pathological evaluation of Mastoid bones where an X-ray across it to create a cross-sectional image with an advanced computer. This imaging modality allows the radiologist to look at different levels of the bone ridge behind the ear. In our hospital, this procedure needs to be improved. Radiographer could make optimization by adjusting windows and developing kernel to maintain the image quality. This study aimed to obtain the optimum image of Mastoid bones, using variations of window and kernel reconstruction. The study was descriptive quantitative with an experimental approach. It resulted in eight images of two windowing levels (sinus and inner ear) and four kernel variations (smooth, medium, sharp, and ultra-sharp). Three radiologists evaluated the injury, bleedin, and soft tissue abnormalities images. The result showed that all window settings are acceptable. Kernel reconstructions have no different anatomical image information in soft tissue, Internal Auditory Canal, and External Auditory Canal. There is a difference for overall anatomical information of Mastoid bones (p value<0.05). Highest values of mean rank are obtained from sharp and ultra-sharp. Our recommendations are using the H.20s smooth kernel for soft tissue abnormalities and H.70s sharp kernel for fracture and bleeding cases.
Predicting Relegation Clubs in Italian Serie A with Method based C4.5 Decision Tree Algorithm
Authors: Syukmana F , Wahyudi E , Gata W , Wahono H , Febianto N I , Kuntoro A Y , Nitra R O , Effendi L , Saputra D D , Sulaeman O R 
Published: March 2020

Abstract
The purpose of this study is to help small clubs from Italian Serie A in finding the minimum targets to avoid relegation into Serie B competition (below Serie A league). Relegation will reduce the club’s income from TV revenues and the decline of enthusiastic supporters. Based on the data from the final standings (seasons 2006 until 2018), this can be explained by the Decision Tree method using the C4.5 algorithm. The methods used in this study are data collection, data pre-processing, model proposal, model testing, and model validation. In this study, it is expected that the value of accuracy exceeds 85% to achieve a proper classification.
Comparison of Data Mining Algorithm: PSO-KNN, PSO-RF, and PSO-DT to Measure Attack Detection Accuracy Levels on Intrusion Detection System
Authors: Budilaksono Sularso , Riyadi Andri Agung , Azhari Lukman , Saputra Dedi Dwi , Suwarno M. Anno , Agus Suwartane I Gede , Jupriyanto  , Ramadhan Andika , Utomo Agus Prasetyo , Fauzi Achmad 
Published: March 2020

Abstract
Nowadays, computer networks are widely used to exchange valuable and confidential data information between servers to computers or cellular devices. Access to user control and use of software or hardware as a firewall often experience security problems. Unauthorized access to information through computer networks continues to occur and tends to increase. This study examines the attack detection mechanism by using three data mining algorithms based on particle swarm optimization (PSO), namely PSO-K Nearest Neighbor, PSO-Random Forest, and PSO-Decision Tree in the Canadian Institute for Cybersecurity Dataset (CICIDS2017). The initial experiment showed that the approach using the PSO-RF method was able to produce the highest accuracy of attack detection. Accuracy values generated using the PSO-RF algorithm with a combination of the number of trees and maximal depth = 20 in the CICIDS2017 dataset are intact higher than other proposed algorithms. The highest accuracy of attack detection in the CICIDS2017 dataset is intact, which is 99.76%. In the CICIDS2017 dataset 50% Benign and 50% Attack it turns out that the PSO-RF algorithm with a combination of the number of trees and maximal depth = 20 also gets the highest accuracy value of 99.67%.
Designing an Ultrasonic Sensor Stick Prototype for Blind People
Authors: Budilaksono Sularso , Bertino Bias , Agus Suwartane I Gede , Rosadi Ahmad , Suwarno M. Anno , Purtiningrum Susi Wagiyati , Sari Yunita , Suhandono Erwin , Sari Sakti Essy Malays , Gustina Dian , Agung Riyadi Andri 
Published: March 2020

Abstract
This study aims to develop a tool that can be used to detect obstacles for blind people. This tool also uses the HC-SR04 ultrasonic sensor. The method used in the manufacture of blind assistive prototypes in the form of sticks using Arduino and Ultrasonic Sensors for blind people with the method obtained by hardware design techniques used consists of ATMEGA328 as the main controller, Ultrasonic sensor HS-SRF04 as detecting objects and LM2596 Regulator modules used for lowering the DC voltage level, this study has produced a prototype design stick for blind people using sensor technology to help alert and move blind people who are able to detect objects at a minimum distance of 7 centimeters with output in the form of sound and vibration. The resulting stick has a frame consisting of 0.5-inch PVC material consisting of two parts, the stick rod and the sensor unit.
A Bayesian Reasoning for Earthquake Prediction Based on IoT System
Authors: Andi Purnomo Muhammad Ridwan 
Published: March 2020

Abstract
Yogyakarta, one of the cities in Indonesia, has the most active volcano in Indonesia, namely Mount Merapi. Volcanic activity of Merapi often results in earthquakes, either weak or strong earthquakes. Those earthquakes sometimes are dangerous to the community; therefore, early warnings for earthquakes are very necessary. This paper presents development of earthquake prediction system based on internet of things (IoT) that equipped with a well known data mining techniques for prediction called Bayesian reasoning. A sequential data about earthquakes occurrence has been used to predict earthquake occurrence in the future. A cloud database is used to store real time earthquake occurrence data and a mobile application has developed to give early warning and visualise the earthquake data to the users. Testing of the system shows the proposed earthquake prediction system has high accuracy with Mean Squared Error (MSE) value is 0.127.
The Development of Character Education Curriculum Model for Islamic Elementary Schools In Muaro Jambi
Authors: Nurhasnah  , M.Ridha D.S. , Buska Wahyudi , Prihartini Yogia 
Published: March 2020

Abstract
This research aims to provide a valid character education for grade schools. This research was done due to the ineffectiveness of character education and development in grade schools. This developmental research was done using the ADDIE model with five phases; analysis of needs, product design, product development, implementation and evaluation of the research product. Data collection was done using an observational guide, interview, and documentation for curriculum designing, and questionnaires which will then be analyzed in order to find out the condition of current character education. Samples were chosen using a purposive sampling method, and the data was qualitatively and quantitatively processed. The research result shows that the current character education can be considered as good. The designed character education curriculum was validated by the curriculum, material, and language experts. Validation result shows that the curriculum is valid with minor revision. Field implementation shows that character education curriculum is practical. The curriculum’s effectiveness was tested using test result from selected schools. At SDN/MIN Pematang Gajah, the achieved criteria are considered as high with 98% lesson completion, at SDN/MIN Sebapo and SDN/MIN Tarikan the achieved criteria is considered as moderate with 75% and 78% lesson completion rate. Teacher’s book practicality was deemed as practical with a general score of 4,5.
The Use of Visual Art as an Alternative Learning to Develop Storytelling Ability of Elementary School Students
Authors: Zulfitria  , Arif Zainal , Dewi Happy Indira , Susanto Ahmad 
Published: March 2020

Abstract
This study aimed to perceive the use of visual art as an alternative learning to develop storytelling ability of elementary school students. Storytelling for children is very important because by telling stories their brain will register certain stories and events that have occurred, give moral messages and can strengthen the power of memory brain. Visual art is used as their learning media, so their ability to tell stories is more fun and creative. This study uses qualitative methods, the data was collected using observation sheets, interviews, and documentation. The population of the study were 66 students, class of IV Parung Bingung Elementary School 1 in Depok. The sample taken were 15 students. Based on the results of the study it can be seen that students can easily tell stories using visual art media in the learning process. Sharpening their storytelling ability can be used as a media to develop students’ personalities and moralities at such young age, so that it creates communication that is harmony between parents and their children at home and teachers will be helped in the learning process so that the purposes of the study is within reach.
Object Tracking System on Ultrawide Video from Double Camera using Motion Detector
Authors: Atikasari Tiara Cahya , Jusman Yessi , Syahputra Ramadoni , Widyasmoro  
Published: March 2020

Abstract
This research aims to design, test, and analyze the object tracking application system using a motion detector method that is able to take the output image of several cameras by combining the output images of the two cameras into a wider field of view (FOV). This research uses 2 cameras, i3-6006U laptop camera and Logitech C270 HD webcam using OpenCV and python programming language. The stitching results from the initialization of the two cameras are able to detect the motion of objects performed on panoramatic videos in realtime by showing time in detail starting from days, dates, hours, minutes and seconds. This object tracking application system has been tested in Adi Sucipto airport exactly in the area of arrival and departure of passengers. The system can detected the motion in the stitching images by exploring it in red rectanguler in the real time video.
Students’ Understanding of Mathematical Concepts Using Manipulative Learning Media in Elementary Schools
Authors: Isnaniah  , Imamuddin M. 
Published: March 2020

Abstract
This study aims to analyze students’ understanding of mathematical concepts in the material of addition and subtraction of integers by using manipulative media in the form of colored paperboard designed into rectangular shapes. This research was conducted in class IV SDN 02 Koto Tangah. The subjects in this study are class IVB students with the total number of 25 students. The instrument used in this research was a subjective test that had fulfilled mathematical concept indicators and test indicators. Data analysis was carried out by using the N-Gain formula developed by Meltzer (2002 and then was interpreted based on the classification of the N-Gain index from Hake (1999). The results of this study reveal that mathematics learning by using manipulative media in the form of rectangular shape designed paperboard can improve students’ understanding of mathematical concepts in the material of addition and subtraction of integers.
Enhancing Students Ability in Analyzing Image Formation on Lens and Mirror Using Ray Optics
Authors: Erfan M , Maulyda M A , Gunawan G , Sari N , Ratu T 
Published: March 2020

Abstract
This study aims to determine the effect Android Ray Optics Application toward student’s ability in analyzing image formation on lens and mirror. This research is a quasi-experimental research with pre-test-post-test control group design. The population in this study were all prospective elementary school teacher candidates of fifth-semester students of Universitas Muhammadiyah Mataram. The sampling technique used was purposive sampling and class A (30 students) as an experimental class and Class C (30 students) as a control class. Data were collected by a descriptive test about the analysis of images formations on flat mirrors, curved mirrors, and lenses. The data were analyzed by independent sample t-test and normalized Gain test. The results showed that after treatment, students in the experimental class has a higher ability in analyzing images formations than the control one (t-value = 9,660 & t-table = 2,002). It’s concluded that Ray Optics is effective in improving student’s ability in analyzing image formation on lens and mirror concepts.
Deforestation spillovers from oil palm sustainability certification
Authors: Heilmayr Robert , Carlson Kimberly M , Benedict Jason Jon 
Published: March 2020

Abstract
Environmental policies that impose restrictions within one location may be undermined or reinforced by ‘spillover effects,’ the movement of actors, processes, or knowledge to other locations. Such spillovers are an important consideration in the design of interventions seeking to reduce commodity driven deforestation. In these settings, global markets and mobile actors can move deforestation and conservation behaviors over large distances, complicating efforts to measure and manage spillovers. Here we quantify forest loss and conservation spillovers from the Roundtable on Sustainable Palm Oil (RSPO) certification system in Indonesian Borneo (Kalimantan). We examine whether spillovers from certification are transmitted through corporate groups (i.e. to non-certified, RSPO member-held plantations) or local agricultural markets (i.e. to lands near certified mills). We find that, from 2009 to 2016, spillovers from RSPO certification reduced deforestation within Indonesia’s forest estate, but increased deforestation in areas zoned for agricultural use. The private RSPO certification system has complemented public conservation by aligning de facto land cover with central government land zoning policy. Despite these benefits, aggregate avoided deforestation attributed to direct and spillover effects was statistically and substantively insignificant when compared to the total deforestation occurring inside all of Kalimantan’s oil palm concessions. While certification has reduced illegal deforestation, stronger sector-wide action appears necessary to ensure that oil palm production is no longer a driver of forest loss.