bluuebunny/crossref_metadata_2025_split huggingface dataset:
Asymmetrical language proficiency in dialogue
interpreters
Authors: Tiselius Elisabet , Englund Dimitrova Birgitta 
Published: September 2019

Abstract
Language proficiency of dialogue interpreters, who typically
work in the public service sector, is an under-researched area. Unlike as in the case of conference interpreters, there is no generally accepted definition of
proficiency levels of working languages for dialogue interpreters. This article
discusses language proficiency in dialogue interpreting. It presents a
methodological problem, namely, how to define and determine a given
interpreter’s stronger and weaker working languages. We discuss different methods
for determining the individual interpreter’s stronger and weaker working
languages, such as self-assessment, demographic, socio-linguistic questionnaire
and test score (Dialang). We conclude that there is a need for more research in
this area.
Aedes albopictus
in America: current perspectives and future challenges.
Authors: Unlu I. 
Published: September 2019

Abstract

The Zika virus outbreak in Miami-Dade, Florida, in 2016 heightened our awareness of the presence, expansion and vectorial capacity of invasive
Aedes
mosquitoes in the USA. The Asian tiger mosquito,
Aedes albopictus
, has not been implicated as a vector during an arbovirus outbreak in the USA, however this species is established in at least 40 states, including Hawaii, and has a greater geographic distribution in North America than
Ae. aegypti
. Current mosquito control strategies may be insufficient to control
Ae. albopictus
in the USA, given the affinity of this species for cryptic habitats and diurnal activity. Accordingly, control efforts have had to be creative. For example, more mosquito abatement districts are modifying truck-mounted sprayers to apply larvicides to cryptic habitats in, inspecting and treating corrugated extension gutters as part of source reduction campaigns, and improving ultra-low volume (ULV) adulticiding methods to achieve higher reduction in adult
Ae. albopictus
. This review discusses
Ae. albopictus
surveillance, action thresholds for intervention, rising concerns on resistance, public involvement, challenges facing mosquito control professionals and how to address gaps for a sustainable surveillance and management programme.
Enhanced L-cysteine production by overexpressing potential L-cysteine exporter genes in an L-cysteine-producing recombinant strain of Corynebacterium glutamicum
Authors: Kishino Mayumi , Kondoh Mariko , Hirasawa Takashi 
Published: September 2019

ABSTRACT
We identified L-cysteine exporter candidates of Corynebacterium glutamicum and investigated the effect of overexpression of the potential L-cysteine exporter genes on L-cysteine production in a recombinant strain of C. glutamicum. Overexpression of NCgl2566 and NCgl0580 resulted in enhanced L-cysteine production in an L-cysteine-producing recombinant strain of C. glutamicum.
Isolation, synthesis, and biological activities of a bibenzyl from Empetrum nigrum var. japonicum
Authors: Oka Sayuki , Kuniba Ryo , Tsuboi Nozomi , Tsuchida Sayaka , Ushida Kazunari , Tomoshige Shusuke , Kuramochi Kouji 
Published: September 2019

ABSTRACT
4-(2-Hydroxyphenethyl)-2,6-dimethoxyphenol, a bibenzyl, was isolated from the leaves of Empetrum nigrum var. japonicum, collected from Mount Tateyama. Japanese rock ptarmigans frequently eat the leaves and fruits of this plant. The structure of the bibenzyl was confirmed by NMR spectroscopic analysis and fully characterized. A synthesis of this compound was accomplished by coupling 2-hydroxyphenylacetic acid with syringaldehyde, decarboxylation of the resultant isoaurones, and hydrogenation of the double bond in the corresponding stilbene. This compound displayed cytotoxic activity against human cancer cells (HCT116 and Hela cells) and leukemia cells (HL-60 cells). The present study suggests that this plant serves as a source of biologically active natural products. Also, our findings provide information on the secondary metabolites in the diet of Japanese rock ptarmigans.
Thermophoresis of biological and biocompatible compounds in aqueous solution
Authors: Niether D , Wiegand S 
Published: September 2019

Abstract
With rising popularity of microscale thermophoresis for the characterisation of protein-ligand binding reactions and possible applications in microfluidic devices, there is a growing interest in considering thermodiffusion in the context of life sciences. But although the understanding of thermodiffusion in non-polar mixtures has grown rapidly in recent years, predictions for associated mixtures like aqueous solutions remain challenging. This review aims to give an overview of the literature on thermodiffusion in aqueous systems, show the difficulties in theoretical description that arise from the non-ideal behaviour of water-mixtures, and highlight the relevance of thermodiffusion in a biological context. We find that the thermodiffusion in aqueous systems is dominated by contributions from heat of transfer, hydrogen bond interactions and charge effects. However, the separation of these effects is often difficult, especially in case of biological systems where a systematic exclusion of contributions may not be feasible.
Feature extraction from app reviews in google play store by considering infrequent feature and app description
Authors: Sutino Q L , Siahaan D O 
Published: September 2019

Abstract
Google Play Store is one of the platforms used for distributing various kinds of mobile app from the developer to the users. Through this platform, users are allowed to give their comments about the app. These user reviews could be used to extract potential app’s requirements. They are important information for developer to further develop the app. There have been some previous researches about extracting mobile app features which are frequently mentioned in user reviews. There are less researches that focus on extracting infrequent features. Nevertheless, extracting infrequent features is also important. It is because there is a possibility that important needs contained in the review which are not extracted as frequent features. One of the challenges in infrequent feature extraction was the irrelevant features contained in extracted features. To overcome the problem, this study aims to extract app frequent feature in reviews by finding collocation and infrequent feature in reviews based on dependency as extraction rules. Afterward, it compares the similarity of all the extracted features from review with features from app description. The implied technique of similarity measure includes similarity of 1) single-term by matching each term of feature, 2) synonym referring to WordNet synsets, and 3) sentence based on calculation of lexical semantic vector and cosine similarity. The implementation result is evaluated using precision and recall calculations. The result shows that features extracted by proposed method are more relevant than previous method.
Multichannel Electroencephalography-based Emotion Recognition Using Machine Learning
Authors: Yulita IN , Julviar RR , Triwahyuni A , Widiastuti T 
Published: September 2019

Abstract
In recent years, research in the field of human-computer interaction (HCI) has focused on strengthening machine functions in recognizing and understanding human emotions. Emotion recognition can be done in several ways, among others, through sounds, facial expressions, or a combination of both. The different sounds and facial expressions from different races and nations cause less accurate in the reading of emotions using these methods. Another method for recognizing emotions can be done by analysing the data from an electroencephalograph (EEG). The EEG signals from the human brain are the result of various activities carried out. One of them is emotion. The EEG signal used in this study came from the DEAP dataset. This dataset consists of 32 files, each of which contains 40 EEG recordings. The emotions from this dataset are classified based on the dimensions of arousal and valence. The signal was then decomposed into three different frequency groups (alpha, beta, and gamma) through band-pass filtering. After that, the principal component analysis (PCA) and resampling were carried out. The classification processes used a number of methods of machine learning. The result was known that the performance of K-star was the highest while naïve Bayes was the lowest. The accuracies of K-star in arousal and valence classification were 81.2, 82.6, respectively. The naive Bayes got 51.2 for the arousal, and 52.5 for the valence.
Web Performance Optimization Techniques for Biodiversity Resource Portal
Authors: Budiman Edy , Puspitasari Novianti , Wati Masna , Widians Joan Angelina , Haviluddin  
Published: September 2019

Abstract
Monitoring and evaluation is a part of management that must be done if want to an increase, and improvement in performance. Therefore, these activities are needed as an effort to develop, manage and optimize the Biodiversity Resource Portal. This study aims to analyze the efficiency of the Biodiversity resource portal of the key performance indicators on Image and script (CSS / JScript) content. Pre-Test and Post-Test analysis methods using Web Performance Optimization Techniques. Evaluation the test results showed an increase in end-to-end web performance after optimization, from the efficiency score of pretest Grade F (13%) to Grade B (82%) post-test.
Model Framework for Development of Biodiversity Information Systems
Authors: Budiman Edy , Puspitasari Novianti , Wati Masna , Haviluddin  , Rahim Robbi 
Published: September 2019

Abstract
The aim of the study was to design a framework for developing bioinformatics resource information systems using the Model-View-Controller (MVC) design pattern. Research contributions generate a framework as an approach model for the development of Biodiversity Information Systems which aims to improve computational capabilities and management of biodiversity data resources for the use of public information clusters. This product combines component capabilities (View Controller Model (MCV), Object Relational Mapping (ORM) and ICBN Nomenclature Taxonomy) with reusable resources. The results of the study have produced a special prototype in the form of a Framework in the Development of Bioinformatics resource information systems that can be accessed online in the site: http://borneodiversity.org/index.
An Empiric Model of Face Detection based on RGB Skin Tone Color
Authors: Robin  , Ferawaty  , Jusin  , Hita  , Irviantina Syanti , Siregar Saut Dohot , Chandra Wenripin 
Published: September 2019

Abstract
Modern smartphone has been society’s lifestyle where every smartphone has a high quality digital camera with all the digital image processing feature. One of those features are face detection. Face detection is the most basic process of any face processing operations. Most digital images are stored in the form of RGB (Red, Green, Blue) data. In this research, detection of human face features is done by using different RGB values in digital images. After applying skin tone color segmentation on digital images, detection area will be optimized using human head properties by eliminating non-human face skin tone area. The experiment shows that the detection is mostly accurate for images but there is issue on low light face skin color captured by digital cameras. From the experiment of our model using 10 sample face images, face can be detected on 9 of them, while in 1 image, the face cannot be detected at all because of low light condition.
Abnormalities State Detection from P-Wave, QRS Complex, and T-Wave in Noisy ECG
Authors: Wijaya Chandra , Andrian  , Harahap Mawaddah , Christnatalis  , Turnip Mardi , Turnip Arjon 
Published: September 2019

Abstract
In last 5 years Physical Computing has been a constant discussion in the whole world. With so many Physical Computing turned into wearable technology. We are trying to take one of thousands of example, in this case ECG processing, and put it into the test. We tried to expand all the features and pin point all the exact point of the PQRST of the ECG. We also tested it in three state of condition, which is: sitting-rest, walking, and fast-paced walk to see how our program would perform in that particular varies of activity. From the analysis conducted, it can be concluded that the output of our proposed combination of method shown a significant performances.
Motion detect application with frame difference method on a surveillance camera
Authors: Husein A M , Calvin  , Halim David , Leo Raymond , William  
Published: September 2019

Abstract
Security becomes one of the major necessities in our lives nowadays however criminal activities are still at large with criminals unable to be persecuted without eligible proofs of their misdeeds. Surveillance Camera is one of the better solutions to these problems in which they can be positioned at every corner of a building even streets and alleys. Their functions can be enhanced by adding algorithms that can identify objects. Frame Differences method is an algorithm to identify an object’s motion. Using this algorithm, we could differentiate an object moving in the environment. Background subtraction is one of the methods suitable to further improve frame differences thus increasing its effectiveness and precision. After implementing the method on a camera, the luminosity was founded to influence the threshold value significantly, the threshold value of 35 is the optimal value.
Performance Evaluation of ESP8266 Mesh Networks
Authors: Yoppy  , Harry Arjadi R , Setyaningsih Endah , Wibowo Priyo , Sudrajat M I 
Published: September 2019

Abstract
Existing WiFi mesh networks are usually implemented on high-end or PC grade platforms. However, the open source community has been recently developing a unique mesh network library targeted for the low-cost and resource limited ESP8266 platform. The so called painlessMesh library enables two or more ESP8266 modules to self-configure and to form a WiFi mesh network. This might open up new potential for the ESP8266 to be used in wider application areas. The library is in an early development stage and not much is known about its performance. Therefore, this paper aims to evaluate to what extent the ESP8266 painlessMesh network can perform, in terms of one-way delay and data rate. Measurements showed that a 2-node network has a delay of 2.49 ms. A network consisting of higher number of nodes tends to have an increased network delay even for the same hop distance. Meanwhile, data rate measurements showed that for the case of 10-byte payload a node can receive up to 461 messages/sec. Whereas for payload of 4400 bytes, the node can receive up to 28 messages/sec. Furthermore, it can be reported that payload greater than 4400 bytes starts causing incomplete and erroneous messages.
Wireless Disturbance Mapping and Path Selection for Placement of Network Control System Components
Authors: Joelianto Endra , Ghazali Muhammad Zhaka , Juhana Tutun 
Published: September 2019

Abstract
Wireless transmitters in measurement instruments act for transmitting data or signals using radio frequency or currently better known as WIFI by means of 2.4 GHz. WIFI is a wireless local area network (WLAN) communication network. With the existence of telecommunications, measurement and control in industrial processes are heading to a high level of reliability compared to the conventional wired instruments in reaching hard locations or dangerous and hazardous areas. However, this cannot be done easily especially in maintaining the communication performances. Research is needed on the reliability of the wireless transmitter itself. Several factors such as communication disruptions are new challenges for the industry of wireless technology manufacturers to be able to prevent or to minimize errors that can arise in wireless network control systems. Signal strength mapping is needed in designing wireless network control systems. In this paper, the mapping is performed by measuring the signal strength parameters (Power Level) and the use of channels (Channel Usage) at planned locations. The measurement results are then used as sample points in the mapping. Data show that the signal strength measurement at each channel has a maximum of - 60 dBm and a minimum of -105 dBm. Mapping is performed by using two methods, namely Inverse Distance Weight (IDW) and Spline Interpolation (SI) methods. The paper proposes an algorithm to select the appropriate wireless communication paths from the planned locations. The mapping results indicate the appropriate area to place the transmitter and the receiver devices in a wireless data transmission network. With good placement, it is expected that measurements using wireless transmitters have minimum disruptions.
Study On The Doping Effect Of Cu-Doped ZnO Thin Films Deposited By Co-Sputering Technique
Authors: Saragih Albert Daniel , Abdullah Hairus , Kuo Dong-Hau 
Published: September 2019

Abstract
Cu-doped ZnO thin films with variation power at 0, 3, 5, and 10 W were prepared by DC/RF magnetron sputtering technique. The thin films have been deposited onto the soda lime glass (SLG) substrates at room temperature. The XRD peaks of the Cu-doped ZnO thin films identified as hexagonal wurtzite structure ZnO. The surface morphology of Cu doped ZnO thin films was investigated through a scanning electron microscope, which indicated the grain size slightly decreased by doping Cu. The transmittance significantly decreases accompanying increasing the Cu concentration. The optical band gaps Cu-doped ZnO thin film were estimated to be 3.30, 3.25, 2.87, and 2.31 eV when the powers of Cu target were 0, 3, 5, and 10 W respectively. The 15% of the Cu content show the best data in our experiment.
Tools for Detecting and Control of Hydroponic Nutrition Flows with Esp8266 Circuit Module
Authors: Sihombing Poltak , Zarlis Muhammad , Heriyance  , Alkarina Nadia 
Published: September 2019

Abstract
In hydroponic plants, adequate nutrition and environmental temperature stability of nutrients are most important to maintain the fertility of the hydroponic plants. By monitoring nutrient flow and environmental temperature stability for hydroponics automatically, it will be easier for a farmer to monitor all of hydroponic plants. This paper, propose a tool for detecting and controlling the flow of food nutrients on the hydroponic plants using the ESP8266 circuit. First step, the sensor will detect the high nutrient solution and temperature around the hydroponic plants, then forward to microcontroller. By the microcontroller will be forwarded to the ESP8266 circuit module and send it to the Android Smartphone. The detection results of the proximity and temperature sensors that sent via ESP8266 will be used as parameters for flowing nutrients or not, and the parameters for turning on the cooling fan or not. The detection results of those sensors are sent to the smartphone by the ESP8266 circuit module, and then forwarded to the Android smartphone in real time. The data sent by ESP8266 module to thikspeak.com and android application has an average delay of 2.8 seconds on thinkspeak.com and 4.2 seconds on android application. This difference delay occurs because of the data entry is influenced of internet signals hotspots.
Tools For Detecting and Control of Soil pH by Probe Sensor based on Android
Authors: Sihombing Poltak , Peranginangin Bisman , Sitompul Dahlan , Rivaldo Rido 
Published: September 2019

Abstract
Soil pH is very vital for all life on agriculture. For a farmer, knowing how much of soil pH (Potential of Hydrogen) is very important. By detecting of the soil pH, it will be easier for a farmer to decide for certain agriculture plants. This research aims at develop an automatic soil pH detecting system for Farmer to visualize the soil pH demand of smart farmer using the microcontroller and smartphone. The tool model is as an information for the farmer, which also includes the devices of suitable plants on the soil which could be used to decide the type of plants suitable for the soil. By detection results of this pH sensor will decide also whether or not to drain nutrients and whether to flush the air conditioner or not. We developed the tools model to detect pH in some of soil. We include a Google maps also in order to find out the pH value of the soil in a particular region. We have tested a number of soil samples area, namely humus soil, soil with a mixture of manure, fertilizer, compost, and soil mixed with sand. The research shows the soil pH based on android by online. Furthermore, the pH value and address of the coordinates tested are stored in the firebase database. In detecting of soil pH, the system only need about 2-5 seconds time during the processing to detect the pH of some soil.
Arrythmia Classification of Electrocardiogram Recorded Data with Random Forest Method
Authors: Hutagalung Sutrisno Salomo , Kusumandari Dwi Esti , Saragih Yosafat Vincent , Tania Jessica , Turnip Arjon 
Published: September 2019

Abstract
Arrythmia is a condition, that our heart beat rhythm change irregularly. The doctor do manual classification process to analyze and diagnose the heart beat rhythm from ECG record. We proposed Random Forest method as classification method, to solve the problem. To cut the preprocessing time, we use WFDB library. INCART arrythmia database is provided as our training and testing data to build the classification model. The feature use is QRS amplitude, QRS amplitude Forward, QRS amplitude Backward, RR interval, Heart Rate Variance (HRV) on the QRS point, backward and forward.We using Scikit Learn for build our classification model, and tested using Scikit Learn and Weka. To classify our object data, we using FOGD-based QRS detector, and to provide our object dataset, Bitalino machine are used. The result still under consideration and need to validate by physician or cardiologist.
Optimazation of sputtered n-type GaN/InGaN for Cu(In,Ga)Se2 thin film solar cells
Authors: Daniel Saragih Albert , Abdullah Hairus , Kuo Dong-Hau 
Published: September 2019

Abstract
Cu(In1-x
Ga
x
)Se2 thin film solar cell with 3.64% efficiency has been demonstrated by using n-Type GaN/In0.3Ga0.7N. The CIGSe thin film was prepared by co-sputtering with two targets of Cu-In and Ga2Se3+Sb2S3. CIGSe films on the Mo/glass substrates were made by co-sputtering technique at 100 °C with a metal target of Cu-In operated at 15 W and a cermet target of Ga2Se3+Sb2S3 at 55 W, followed by thermal annealing at 600 °C for 1 h. The properties of the CIGSe thin film was studied by measuring the electrical, structural and crystal structure. Solar cell devices were designed by depositing ∼50 nm GaN layer and ∼300 nm In0.15Ga0.85N or In0.3Ga0.7N followed by coating front contact with 300–400 nm indium-tin-oxide (ITO).