Reviewerly/exHarmony huggingface dataset:
The Strenght of Socio-Affective Strategy With Skype Video Call in the Teaching Speaking

To speak English for most Indonesian students is not an easy matter. Many of them feel shy and lack of confidence. That is why the teachers should use an appropriate strategy to help them improve their speaking ability. This study was a quasi- experiment applying non- randomized control group pre-test post-test design and the subjects of which were the students of Management Class of STIE Perbanas Surabaya. The researcher took two classes of the first semester. They were Class O.2 having 25 students as a control group, and class B.1 having 26 students as an Experimental group. The study has proved that socio affective strategy with Skype is more effective than conventional strategy when used in the teaching speaking and the students who were taught using socio affective strategy with Skype could be more interested to communicate with English language
Fuzzy-Logic-Based, Obstacle Information-Aided Multiple-Model Target Tracking

Incorporating obstacle information into maneuvering target-tracking algorithms may lead to a better performance when the target when the target maneuver is caused by avoiding collision with obstacles. In this paper, we propose a fuzzy-logic-based method incorporating new obstacle information into the interacting multiple-model (IMM) algorithm (FOIA-MM). We use convex polygons to describe the obstacles and then extract the distance from and the field angle of these obstacle convex polygons to the predicted target position as obstacle information. This information is fed to two fuzzy logic inference systems; one system outputs the model weights to their probabilities, the other yields the expected sojourn time of the models for the transition probability matrix assignment. Finally, simulation experiments and an Unmanned Aerial Vehicle experiment are carried out to demonstrate the efficiency and effectiveness of the proposed algorithm.
Geochemical Distribution of Copper and Zinc in the Aquatic Sediment of Nyolo Spring Water at Karangploso Malang East Java

Aquatic sediment has a role for heavy metals sink. Understanding the geochemical fractions of heavy metals in the aquatic sediment can predict the mobility and reactivity of heavy metals fractions that can induce environmental problems. The aim of this study was to determine the distribution of geochemical fractions of copper and zinc in aquatic sediment of Nyolo spring. Sediments samples were taken from five locations along the spring. Geochemical fractions of copper and zinc were extracted using BCR (Community Bureau of Reference) sequential extraction method. The concentration of these metals in each extract was analyzed using AAS. The result showed that overall the sediment consisted of zinc at a higher concentration than copper. Amongst the geochemical fractions, copper and zinc were found dominantly at an oxidizable fraction. As the first fraction, Zn was more bioavailable than copper for biological uptake. Furthermore, based on the Risk Assessment Code (RAC) value, the aquatic sediment of Nyolo Spring was low risk to the Zn and Cu contaminations at most sites, except for Zn in Site III showed a medium risk. This metals fraction will potentially available for organism uptake with the changing of pH sediment or overlying water
Correction to: Toward an Ethics of Interactive Storytelling at Dark Tourism Sites in Virtual Reality

In the original version of this chapter the given name of the second author was misspelled. It has been corrected.
Aaron Marcus, Masaaki Kurosu, Xiaojuan Ma, and Ayako Hashizume: Cuteness Engineering: Designing Adorable Products and Services [Book Review]

Index Terms-Cuteness, personality design, user-centered design
Correction to: A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers

The spelling of Monireh H. Sayadnavard’s family name was incorrect.
A Study on Students’ Motivation to Learn Chinese Culture Course: The Case of 2018 Northeast Normal University International Students

This study explored international students' motivation toward learning the Chinese culture course.Specifically, the study focused on investigating what interest the students towards the Chinese culture course.The study also looked into the challenges of international students faced while studying the Chinese culture course.To meet these objectives, the study used a descriptive survey design with a mixed method.Questionnaire and interviews were used to collect data from a sample of 38 international students from 7 colleges in Northeast Normal University (NENU).Finally, the finding indicated that international students at NENU are curious to learn the Chinese culture course.The respondents are keen to learn the culture they live in during their study period.Therefore, the study concluded that international students are studying the Chinese culture course not only because the course is compulsory, but also they are also keen to learn the Chinese culture course.
Awareness, knowledge, attitude and use of social media among librarians and in libraries of medical colleges of punjab: A study

Introduction: Social media is becoming an essential part of today's life.Even, it is hard to imagine a daily routine without social media.Libraries are the main source of creating; gathering and sharing knowledge and librarians are the information managers, and an important link creator in between a user and library resources.Social media is so powerful tool that it can disseminate a piece of information to any number of users in more secure and reliable way, thus social media can be used for delivery of library services.The present study is an attempt to know the present status awareness, knowledge and attitude of medical librarians about social media and its usage in delivery of library services. Objectives:The main aim of the study is to know the level of awareness, knowledge and use of social media applications among librarians and in libraries of medical colleges of Punjab.Method: A self-structured questionnaire was designed for the librarians to collect the relevant data from the medical colleges' libraries of Punjab under study.The investigator personally visited all the medical colleges under study for data collection. Results:The results of study revealed that 75% of the librarians are aware of various applications of social media to be used for providing library services.87.5% of the respondents i.e. librarians admitted that they are or will use social media applications for communication with users, followed by reference services with 75% responses.A majority of the respondents from libraries of medical colleges are not satisfied with the present infrastructure available for access of social media with 75% responses.50% of the librarians indicated poor infrastructure as one of the major reason for dissatisfaction, followed by lack of training/ skills with 37.5% responses.
A Multiple Linear Regression Based High-Accuracy Error Prediction Algorithm for Reversible Data Hiding

In reversible data hiding, the higher embedding capacity and lower distortion are simultaneously expected. Hence, the precise and efficient error-prediction algorithm is essential and crucial. In this paper, a high-performance error-prediction method based on Multiple Linear Regression (MLR) algorithm is proposed to improve the performance of Reversible Data Hiding (RDH). The MLR matrix function that indicates the inner correlations between the pixels and their neighbors is established adaptively according to the consistency of pixels in local area of a natural image, and thus the targeted pixel is predicted accurately with the achieved MLR function that satisfies the consistency of the neighboring pixels. Compared with conventional methods that only predict the targeted pixel with fixed predictors through simple arithmetic combination of its surroundings pixel, the proposed method can provide a sparser prediction-error image for data embedding, and thus improves the performance of RDH. Experimental results have shown that the proposed method outperform the state-of-the-art error prediction algorithms.
A Dataset for Comparing Mirrored and Non-Mirrored Male Bust Images for Facial Recognition

Facial recognition, as well as other types of human recognition, have found uses in identification, security, and learning about behavior, among other uses. Because of the high cost of data collection for training purposes, logistical challenges and other impediments, mirroring images has frequently been used to increase the size of data sets. However, while these larger data sets have shown to be beneficial, their comparative level of benefit to the data collection of similar data has not been assessed. This paper presented a data set collected and prepared for this and related research purposes. The data set included both non-occluded and occluded data for mirroring assessment.
Agile Project Management in Non-Software Sectors During Turbulent Times

Scholars have viewed Agile Project Management APM as a prominent solution for software and nonsoftware innovative institutions to cope with its unstable environment.APM has been tested in the software field and proven to be successful.Since 2015, there is ongoing war in Yemen that negatively affects most sectors including the business and microfinance sectors.Social Fund for Development SFD, the microfinance industry leader in Yemen, sought solutions for enhancing the Microfinance Institutions MFIs capabilities during the current environment turbulence.This research investigates any possible advantages in adopting APM in the microfinance sector, out of software domain.A qualitative method was used to conduct the research.three microfinance pioneers were selected and 11 professionals from all management levels were interviewed.In addition, three workshop discussions with 22 members of product development teams were held.The study found that adopting APM would help these MFIs to enhance their resilience by bridging the identified gaps and challenges.
Video description with integrated visual and textual information

Video Description aims to automatically generate descriptive natural language for videos. Due to the large volume of multi-modal data and successful implementations of Deep Neural Networks (DNNs), a wide range of models have been proposed. However, previous models learn insufficient linguistic information or correlation between visual and textual modalities. In order to address those problems, this paper proposes an integrated model using Long Short-Term Memory (LSTM). This proposed model consists of triple channels in parallel: a primary video description channel, a sentence-to-sentence channel for language learning, and a channel to integrate visual and textual information. Additionally, the parallel three channels are connected by LSTM weight matrices during training. The VD-ivt model is evaluated on two publicly available datasets, i.e. Youtube2Text and LS-MDC. Experimental results demonstrate that the performance of the proposed model outperforms those benchmarks.
Design of Control System for Dynamic Calibration Device of Eddy Current Sensor Based on FPGA

In the dissertation, an automatic and integrated calibration device for the static characteristics of eddy current sensors was researched aimed at the great demand of improving the efficiency of calibrating eddy current sensors. The design proposal for the control system in the slave computer of automatic and integrated calibration device for the dynamic characteristics of eddy current sensors was studied. The control method of vibration level automatic adjustment was proposed. A signal generator, a data acquisition unit and a data storage unit were designed. Besides, the serial communication module was also designed to communicate with the master computer.
Impact of lecture delivery by using PowerPoint presentation and black board and chalk in second year MBBS students in Pharmacology

Background: The use of electronic media and audio-visual aids for teaching has become increasingly common in medical colleges. This teaching method is considered superior to blackboard and chalk by majority of the students and teachers. But the quality of medical education has not drastically improved in comparison. This study compares the impact of lecture delivery using PowerPoint presentation as opposed to blackboard and chalk in medical students attending pharmacology classes.Methods: This was a cross sectional study done in the second year MBBS students attending pharmacology classes in the Department of Pharmacology at Government Medical College, Thrissur in the year 2017. Students were given lectures on two similar topics, one using PowerPoint presentation and the other using blackboard and chalk by the same teacher. The students were given a post-test after each lecture and marks were analysed using Independent student’s t test. A feedback was also taken from the students regarding the two lecture delivery methods and the data is expressed in percentages.Results: This study was done in 149 medical students who attended pharmacology classes. The students scored significantly higher marks in the post-test when the lecture was taken using black board and chalk (p &lt;0.001). 58% of the students preferred lecture delivery using PowerPoint compared to 38% preferring black board and chalk. 4% of the students considered both methods equally good.Conclusions: Lecture delivery using black board and chalk was found to be more efficacious than power point presentation when the marks of the post-tests were compared. However, majority of the students preferred lecture delivery using power point to blackboard and chalk.
Two-Qubits in a Large-S Environment

We analytically express the loss of entanglement between the components of a quantum device due to the generation of quantum correlations with its environment, and show that such loss diminishes when the latter is macroscopic and displays a semi-classical behaviour. We model the problem as a device made of a couple of qubits with a magnetic environment: this choice allows us to implement the above condition of semi-classical macroscopicity in terms of a large-S condition, according to the well known equivalence between classical and S → ∞ limit. A possible strategy for protecting internal entanglement exploiting the mechanism of domain-formation typical of critical dynamics is also suggested.
Data Categorization and Model Weighting Approach for Language Model Adaptation in Statistical Machine Translation

Language model encapsulates semantic, syntactic and pragmatic information about specific task.Intelligent systems especially natural language processing systems can show different results in terms of performance and precision when moving among genres and domains.Therefore researchers have explored different language model adaptation strategies in order to overcome effectiveness issue.There are two main categories in language model adaptation techniques.The first category includes the techniques that based on the data selection where task-oriented corpus can be extracted and used to train and generate models for specific translations.While the second category focuses on developing a weighting criterion to assign the test data to specific model corpus.The purpose of this research is to introduce language model adaptation approach that combines both categories (data selection and weighting criterion) of language model adaptation.This approach applies data selection for specific-task translations by dividing the corpus into smaller and topic-related corpora using clustering process.We investigate the effect of different approaches for clustering the bilingual data on the language model adaptation process in terms of translation quality using the Europarl corpus WMT07 that includes bilingual data for English-Spanish, English-German and English-French.A mixture of language models should assign any given data to the right language model to be used in the translation process using a specific weighting criterion.The proposed language model adaptation has achieved better translation quality compare to the baseline model in Statistical Machine Translation (SMT).
An Intelligent Electronic Academic Advisor

Academic advising is one of the important components in higher education.Advising can help students solve the academic problems they face during their study.In most world universities students select the courses that are most likely to meet their interests; therefore they need advising in choosing courses to complete their academic degrees.Academic advising is an essential element for an efficient learning process.This paper introduces an Intelligent Electronic academic advisor that adopts multi-agents technology using a recommendation system that switches between three recommendation techniques CF, CBF and KB, which helps students to decide which courses to take and presents academic advising for them.
Performance Analysis of an Effective Approach to Protect Cloud Systems against Application Layer Based Attacks

Cloud computing is a new paradigm for hosting hardware and software resources and provides a web-based services to organizations and consumers. It also provides an easy to use and on-demand access to cloud based computing resources that can be published by easy, minimal administration and with a great efficiency. Services of cloud computing are accessing and sharing through internet connection thus it is open for attacker to attack on its security. Application layer based attacks is one of Distributed Denial of Service attacks (DDoS) that can cause a big problem in cloud security. The main objective of DDoS attacks is to infect computer resources (e.g., software applications, network, CPU, etc.) and make them not working properly for the authorized users. In DDoS, the attacker tries to overload the web-based service with traffic. HTTP and XML-based DDoS attacks are founded under the application layer based category of DoS attacks. This category of attack is focused on particular web applications. The main objective of this research paper is to introduce an effective approach to protect cloud-based systems against application layer based attacks. Complexity analysis, effectiveness and performance evaluations of the presented approach are presented. The feedbacks of the experimental results were highly promising, for protecting cloud computing systems against both DoS and DDoS attacks. Correlation analysis model is also used to validate the efficiency of the proposed approach.
Profile and Motivation of Women Enrolled in the Brazilian Telemedicine and Telehealth Postgraduation Distance Education Programme

Purpose: Women’s participation in Telehealth is increasing around the world and they should be prepared to work in this new job market. The aim of this study was to evaluate the profile and motivation of women enrolled in the Brazilian Postgraduate Programme on Telemedicine and Telehealth. Methods: A cross-sectional study was conducted from May to July 2018 of all women enrolled in the postgraduate programme using an anonymous online Google form. It consisted of a multiple choice form regarding: age, number of children, profession, date of graduation, current occupation, current number of jobs, workload, postgraduate programmes completed, duration of Telehealth experience and motivation to enrol on the Programme. Data collected were exported to an Excel® sheet, summarised and analysed. Results: Of 44 women, 36 completed the survey. Mean age and time passed since graduation were respectively 43.5±13.5 years and 18±17 years for student and 53±13.5 years and 31.5±8.5 for professors; 25 women have at least one child, work more than 30 hours weekly and 10 of them work in two jobs. Health professionals and health occupations were predominant in both groups. Most students had little or no experience in Telehealth. The decreasing order of frequency motivation was professional refinement (63.8%), job opportunity (55.5%), financial gain (52.7%) and innovation (38.8%). Conclusion: Regardless of age, children, workload and professional qualification, the major women's motivation for enrolling in the Telehealth Postgraduate Programme is to professional refinement in this field.
FPAA Implementation of Chaotic Modulation Based on Nahrain Map

Due to characteristic of chaotic systems in terms of nonlinearity, sensitivity to initial values, and non-periodicity, they are used in many applications like security and multiuser transmission. Nahrain chaotic map is an example of such systems that are recently proposed with excellent features for the use in multimedia security applications. Although the implementation of chaotic systems is easy using low costanalogue ICs, this approach does not provide the flexibility that the reconfigurable analogue devices have in design possibilities such as reducing the complexity of design, real-time modification, software control and adjustment within the system. This paper presents a description of data modulation and demodulation based on Nahrain chaotic system and there hardware implementation using field programmable analogue array (FPAA) device. AN231E04 dpASP board is used as a target device for the implementation. The simulation results of system closely matched the programmable hardware testing results.
Emergence of metallo-beta-lactamases in Dubrovnik-Neretva County, Croatia

Purpose: Carbapenemases involved in acquired resistance to carbapenems in Enterobacteriaceae belong to Ambler class A serin β-lactamases (KPC, GES, SME, IMI, NMC), class B metallo-β-lactamases (MBL) of the IMP, VIM or NDM family and OXA-48-like β-lactamases belonging to the class D. Recently carbapenem-resistant Enterobacter cloacae isolates were reported for the first time in Dubrovnik-neretva county in Croatia. The aim of this study was to characterize the carbapenem resistance mechanisms and to genotype the isolates. Methods & Materials: In total four carbapenem resistant E. cloacae strains were isolated in Public Health Institute of Dubrovnik neretva county. The antibiotic susceptibility was determined by the broth microdilution method according to CLSI standards. The double disk synergy test (DDST) and the CLSI combined disk test with addition of clavulanic acid were performed to detect ESBLs. Chromosomal or plasmid-mediated AmpC β-lactamases were detected by combined disk test using cephalosporin disks with 3-aminophenylboronic acid (PBA. A modified Hodge test (MHT) and the carbapenem-inactivation method (CIM) were used to screen for the presence of carbapenemases. Carbapenemase, other β-lactamase and fluoroquinolone resistance genes were detected by PCR and sequencing. The transferability of meropenem resistance was tested by broth mating method. Plasmids were characterized by PCR-based replicon typing. The isolates were genotyped by PFGE. Results: The isolates were resistant to penicillins, narrow and expanded-spectrum cephalosporins, all three carbapenems (imipenem, meropenem and ertapenem) gentamicin and ciprofloxacin but susceptibile to colistin. Hodge test, CIM test and inhibitor based tests with EDTA, PBA and EDTAPCR revealed blaVIM, blaCTX-M and blaTEM genes. Sequencing of representative amplicons identified VIM-1, CTX-M-15 and TEM-1 β-lactamases. Plasmids encoding VIM-1 were found to belong to A/C incompatibility group. PFGE identified one pair of identical isolates and two isolates with distinct PFGE patterns. Conclusion: Previous studies in Croatia revealed the spread of VIM-1 MBL among Enterobacteriacae,particularly E. cloacae. In this study we demonastrated spread of MBL positive E. cloacae to Dubrovnik neretva county, a sequestered geographic area in Souteast part of Croatia which was free of carbapenemases until two years ago. Similarily as in the previous study VIM-1 was carried by A/C plasmid and the isolates coharboured ESBLs belonging to group 1 CTX-M- β-lactamases