Reviewerly/exHarmony huggingface dataset:
A Hybrid of Adaptation and Dynamic Routing based on SDN for Improving QoE in HTTP Adaptive VBR Video Streaming

Recently, HTTP Adaptive Streaming HAS has received significant attention from both industry and academia based on its ability to enhancing media streaming services over the Internet. Recent research solutions that have tried to improve HAS by adaptation at the client side only may not be completely effective without interacting with routing decisions in the upper layers. In this paper, we address the aforementioned issue by proposing a dynamic bandwidth allocation and management architecture for streaming video flows to improve users satisfaction. We also introduce an initial cross layer hybrid method that combines quality adaptation of variable bitrate video streaming over the HTTP protocol at the client side and SDN based dynamical routing. This scheme is enabled by the Software Defined Networking architecture that is now being considered as an emerging paradigm that disassociates the forwarding process from the routing process. SDN brings flexibility and the ability to flexibly change routing solutions, in turn resulting in dynamically improving the services provided in the application layer. Our experimental results show that the proposed solution offers significantly higher overall bitrates as well as smoother viewing experience than existing methods.
PENGARUH TEKNIK SELF TALK TERHADAP KEPERCAYAAN DIRI SISWA KELAS IX SMP NEGERI 9 TARAKAN

This study uses a quantitative type with a quasi-experimental approach to nonequivalent control group design. The study population amounted to 244 students, with purposive sampling sampling, the provisions of the study sample obtained 20 students divided into 10 experimental groups and 10 control groups. The instrument used in the form of student confidence scale that has been through validation testing from expert judgment and declared valid. Reliability of the confidence scale was tested using Alpha Cronbach and obtained a coefficient of 0.786 which showed a high level of reliability. Hypothesis analysis using the Wilcoxon test through the SPSS version 24.00 for windows program. Based on the results of statistical data analysis results of the calculation of the t-test using SPSS version 24.00 for windows obtained a significance value = 0.000 ɑ = 0.05. this shows a significant value of less than 0.05 can be concluded that the hypothesis is accepted, which means that there is an effect of self talk techniques on the confidence of class IX students in Tarakan 9 Middle School Academic Year 2018-1919. Keywords: Self Talk, Student Confidence
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification

Cross-domain sentiment classification has drawn much attention in recent years. Most existing approaches focus on learning domain-invariant representations in both the source and target domains, while few of them pay attention to the domain-specific information. Despite the non-transferability of the domain-specific information, simultaneously learning domain-dependent representations can facilitate the learning of domain-invariant representations. In this paper, we focus on aspect-level cross-domain sentiment classification, and propose to distill the domain-invariant sentiment features with the help of an orthogonal domain-dependent task, i.e. aspect detection, which is built on the aspects varying widely in different domains. We conduct extensive experiments on three public datasets and the experimental results demonstrate the effectiveness of our method.
Teachers' and Eleventh Grade Students' Attitude toward the Use of Bahasa Indonesia (L1) in EFL Classroom

RINGKASAN Rahman, Rizky. 2019. Teachers’ and Eleventh Grade Students’ Attitude toward the Use of Bahasa Indonesia (L1) in EFL Classroom. Thesis. Graduate Program in English Language Education, Universitas Negeri Malang. Advisors: (1) Dr. Enny Irawati, M.Pd. (2) Dr. Utari Praba Astuti, M.A. Keywords: teacher, eleventh grade student, attitude, Bahasa Indenesia, L1, EFL classroom In the context of foreign language teaching and learning, in English classroom even though the target language must be used is English, the use of L1 is inevitable that teachers and students can not avoid using it. This thesis is to describe the attitude of teachers and eleventh grade students’ toward the use of L1 (Bahasa Indonesia) in EFL classroom. Since attitude has three components; affective, behavior, and cognitive, this study took one component to describe; affective, in which teachers’ and students’ feeling and emotion toward the use of L1 was described. The study was conducted in two senior high schools; SMAN 1 and SMAN 2 Kandangan. Kandangan is the capital town of a regency, Hulu Sungai Selatan in South Kalimantan province. The research design used survey research design. The participants were eight English teachers working in senior high schools and 339 students. The data were collected through classroom recordings; questionnaires that were administered both to the teachers and the students, and interviews that were conducted on all of the teachers. The results revealed that the attitudes of the students towards the use of Bahasa Indonesia were generally positive. It was also found out that the teachers were aware of the importance of using the target language as much as possible in the classes, however, they could not deny the need of L1 for certain situation. Based on the finding it is concluded that most of the teachers liked using English in EFL class. Whereas for students, most of them liked the use of L1 in EFL class. However, the use of L1 could not be avoided by the teachers when their students could not understand the teachers using English. Then, it is suggested that even though the use of L1 is preferred by students, English teachers should not directly use it as the medium of instruction. Since the students have a variety levels of English proficiency the use of L1 can not be avoided. However, as their level of proficiency get higher, the use of L1 in class is lessened. For further research related to this topic, it is suggested to include the four language skills; listening, speaking, reading, writing, and other things that are related to linguistic and language teaching so that the research will be more beneficial for language teaching especially English teaching.
ANALYSIS OF METAPHORS FOUND ON THE DIALOGUES OF “THE TRAGEDY OF OTHELLO THE MOOR VENICE” DRAMA SCRIPT BY WILLIAM SHAKESPEARE

Communication can be built if there is an understanding between speaker and the hearer. This study aims to analyze the metaphors found on drama script, although drama represents  human’s communication but the language used is not the same as the language used in daily communication, usually the drama script uses language style and ambiguous. The objectives of the study are to know what types and meaning of metaphors found on the dialogue of “the Tragedy of Othello the Moor Venice” drama script by William Shakespeare The type of this research is a descriptive qualitative research. The data collection was started by observing the drama script and classify into each type then the writer also specify the data which will be analyzed. The data analysis was started by finding the metaphors on the dialogue of drama script, identifying the types of metaphors based on Lakoff and Johnson theory (2003) and interpret the data through its logical meaning. The result of this research shows there are 25 data metaphors found on the text. They are divided into 60% of structural metaphors, 20% of orientational metaphors, 12% of container ontological metaphors and 8% of personification ontological metaphors. Second, the meaning of metaphors found on the drama script also revealed from the analysis process which shows the condition of the Venice such as; love, loyalty, betrayal, envy,  racism, manipulation, power competition and social status. Metaphors has been used as a tool in communication in order to illustrates the meaning with a greater emotion. Keywords : semantics, metaphor, drama script
FACTORS AFFECTING INFANT MORTALITY RATE IN KARANGASEM, BALI

The purpose of this study was to determine the factors that influence the infant mortality rate in Karangasem, Bali. The method used in this research is the Log Linier model. In the Log linear model analyze relationship pattern among group of categorical variables which include an association of two or more variables, either simultaneously or partially. A Patterned relationship between variables can be seen from the interaction between variables. Log linear analysis does not distinguish between explanatory variables and response variables. The population in this study was all babies born in Karangasem in 2015 that is as many as 7,895 babies with live birth status and as many as 7,835 babies and 60 infants died. As a sample, 100 babies were taken, of which 60 were live and 40 died. The results show that infant mortality is affected by infant weight, how old the mother during childbirth, and interaction between birth spacing and infant weight&#x0D;
การศึกษาวิเคราะห์ข้อผิดพลาดและปัญหาการสอนไวยากรณ์ภาษาจีนหน่วยคาเสริมกริยาของนักเรียน ระดับชั้นมัธยมศึกษาปีที่ 6 แผนกศิลป์-ภาษาจีน โดยใช้แบบทดสอบไวยากรณ์ภาษาจีน

The purposes of this research were: 1) to study the errors of grammar use in the Chinese language through acomplement; 2) to study instructional problems of Chinese language through a complement. The sample group ofthis research included 169 students- Mattayomsuksa 6 (Grade 12), Semester 1, 2016 Academic Year, from 6Schools. The samples were selected by purposive sampling, which was the Chinese-arts Language Program. Theresearch instrument was the Chinese language grammar test. The research results revealed that the percentage oferrors was equal to 48.07%. The errors could be ordered from most to least as follows: the complement ofduration, the complement of frequency, the complement of direction, the complement of potential, thecomplement of result, the complement of degree, the complement of state. Furthermore, the 2 main causes oferrors found were: 1) errors from the interference of mother language (母语负迁移); and 2) errors from the overgeneralization(目的语规则的泛化). These 2 main causes could be applied to solve the problems of grammarinstruction for lecturers to be more effective and enhance creative ideas, including help reduce or avoid thegrammar errors of the learners. Hence, the researcher would like to propose the instructional techniques by usingMind Map together with supplementary instruction methods in other aspects.
Comparison of KAtex, Bone Marrow Aspiration and DAT for the Diagnosis of Visceral Leishmaniasis

Background: Newly developed KAtex test can be used as a non invasive tool for diagnosis of Kala-azar.&#x0D; Objectives: The aim of the present study was to compare KAtex, Bone marrow aspiration and DAT to diagnose VL.&#x0D; Methodology: This cross-sectional study was carried out in the Department of Microbiology at Dhaka Medical College, Dhaka, Bangladesh in collaboration with the Department of Parasitology, Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh for a period of one year. Clinically suspected Kala-azar (VL) cases of different age and sex attending IEDCR, Dhaka from different Kala-azar endemic areas of Bangladesh were selected for this study. Patients having fever for more than 2 weeks, with or without splenomegaly, having history of loss of body weight following onset of fever were clinically suspected as Kala-azar cases. Microscopy and culture was performed in bone marrow (BM). KAtex was performed with urine sample. Agglutination of sensitized latex indicated presence of Leishmania donovani antigen in urine and thereby visceral leishmaniasis. No agglutination indicates absence of antigen in urine. DAT was done with serums of all cases.&#x0D; Result: Among 130 clinically suspected VL cases, 70 (53.85%) cases were BM positive and 60(46.15%) cases were BM negative. All the 70 BM positive cases were positive by KAtex and DAT. Among 60 BM negative cases, 15 were positive by KAtex and 23 were positive by DAT. The sensitivity of KAtex was 100.0% and specificity was 75.0%. The sensitivity of DAT was 100.0% and specificity is 61.6%.&#x0D; Conclusion: In conclusion, KAtex test is a good diagnostic tool for the detection of VL in comparison with DAT.&#x0D; Bangladesh Journal of Infectious Diseases, June 2019;6(1):12-15
Methodology and technologies for online education

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The educational process is as old as the mankind itself. Education of the younger generation is a complex task and every suitable tool has been used to improve the process. Nowadays, not only modern approaches like the student centric model, gamification, personalization, experience-based learning, problem-based learning, project orientation rather than knowledge acquisition have been introduced, but new technologies like virtual reality (VR), augmented reality (AR), interactive multimedia services offer better experience-based learning, faster education and more durable knowledge. Technology solutions are deeply dependent on the economic situation of schools. One of the open problems of online education is distant presence of students and teachers. Telereality is a new keyword and covers the research area of full virtual access to a distant place with 3D audio and video stream and, in specific cases, with multisensorial experience. Many projects have been devoted to online education. Authors have many years of experience in online education within dozens of mostly European projects. The results of these projects show that online education is an extremely complex task with multidisciplinary problems. However, the projects show promising results regarding this topic. Results of the new Horizon 2020 NEWTON will be discussed, too.
Compare the data confidentiality approach to Short Message Services (SMS) using RC4 and AES algorithms

Todays, short messages service (SMS) still represents the foremost used mobile electronic messaging service. SMS messages are employed in many various applications, even in cases wherever safety features, like authentication and confidentiality between the communications, should be ensured. Unfortunately, SMS technology doesn’t give inbuilt support for any safety features. Hence the secured communication on SMS could be a big challenge. In this work, we use the communication between peers is secured by using public-key cryptography. It includes SMS network architecture as well as cryptographic protocols as a theoretical background and it also deals with design, implementation and confidentiality assessment of RC4 stream cipher for SMS data confidentiality on mobile networks. To secure the message, the receiver needs to put a password. In the paper, we compare the RC4 and RSA algorithm for data confidentiality on SMS.
Supporting End-User Understanding of Classification Errors: Visualization and Usability Issues

Classifiers are applied in many domains where classification errors have significant implications. However, end-users may not always understand the errors and their impact, as error visualizations are typically designed for experts and for improving classifiers. We discuss the specific needs of classifiers' end-users, and a simplified visualization designed to address them. We evaluate this design with users from three levels of expertise, and compare it with ROC curves and confusion matrices. We identify key difficulties with understanding the classification errors, and how visualizations addressed or aggravated them. The main issues concerned confusions of the actual and predicted classes (e.g., confusion of False Positives and False Negatives). The machine learning terminology, complexity of ROC curves, and symmetry of confusion matrices aggravated the confusions. The end-user-oriented visualization reduced the difficulties by using several visual features to clarify the actual and predicted classes, and more tangible metrics and representation. Our results contribute to supporting end-users' understanding of classification errors, and informed decisions when choosing or tuning classifiers.
Implementation Completion and Results Report (ICR) Document - Ethiopia: Supporting Open Data Initiative - P156400

Ratings for the Supporting Open Data Initiative Project for Ethiopia were as follows: outcomes were moderately satisfactory, the risk to development outcome was substantial, and the Bank performance was moderately satisfactory. Some lessons learned included: Given the scope of the project, the design recommended submission of one external audit report on the use of the resources at the end of the project life. This was found to be the right decision as it took significant follow up to complete the audit on time. The project was US dollar 300K recipient executed project. The transaction cost of implementation for the government and supervision for the Bank team was very high. Given its very small scope, it was hard to maintain leadership’s focus in providing the required decision and continuous guidance to the project team amongst several other demands. Previous engagement with the Ministry was to support the Open Data Readiness Assessment through Bank-administered trust fund. The assessment was completed within three months’ time. The leadership asked if the activities could be managed using the same instrument but was not possible. Small trust funds like this are best managed by the Bank keeping key strategic roles for government without taxing their already limited capacity.
Multi-Stream Single Shot Spatial-Temporal Action Detection

We present a 3D Convolutional Neural Networks (CNNs) based single shot detector for spatial-temporal action detection tasks. Our model includes: (1) two short-term appearance and motion streams, with single RGB and optical flow image input separately, in order to capture the spatial and temporal information for the current frame; (2) two long-term 3D ConvNet based stream, working on sequences of continuous RGB and optical flow images to capture the context from past frames. Our model achieves strong performance for action detection in video and can be easily integrated into any current two-stream action detection methods. We report a frame-mAP of 71.30% on the challenging UCF101-24 actions dataset, achieving the state-of-the-art result of the one-stage methods. To the best of our knowledge, our work is the first system that combined 3D CNN and SSD in action detection tasks.
Analisis Citra, Kepercayaan Dan Kepuasan Terhadap Loyalitas Mahasiswa Sistem Informasi Dengan Pendekatan Path Analisys

In the era of globalization, the system plays a very important information. By masteringtechnology and information, constitute one of the capital to be winners in the global competition. Theimportance of students in the loyalty marketing no doubt. Universities are expecting can retain customersin the long term, even if perhaps forever. Customers who have loyalty will feel an emotional bond withthe organization, with an emotiona bond to make customers loyal and encourage them to continue doingbusiness with the organization and make recommendations. A loyal student who will be a very valuableasset for the college. Students who are loyal will provide feedback to the organization. Efforts to buildcompetitiveness for a college absolutely must be done in order to maintain existence. Some of the stepsthat need to be prepared among other things, enhance the image, trust, satisfaction and loyalty ofstudents. Given the importance of image, trust, satisfaction and customer loyalty will require an analysisof the image, trust and satisfaction to loyalty student information system with the approach path analisys,so it can be used by universities to increase loyalty to students. The results showed that image, trust andsatisfaction has a significant positive effect on loyalty student information system.
A Metadata Database and Usage Patterns in the LTER Network

This presentation was given in July 2019 at the Earth Science Information Partners (ESIP) Summer Meeting held in Tacoma, Washington. This is a two-part session dealing with separate projects: LTER-core-metabase and the EDI profile for EML.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks

Invasive ductal carcinoma (IDC), which is also sometimes known as the infiltrating ductal carcinoma, is the most regular form of breast cancer. It accounts for about 80% of all breast cancers. According to the American Cancer Society, more than 180,000 women in the United States are diagnosed with invasive breast cancer each year. The survival rate associated with this form of cancer is about 77% to 93% depending on the stage at which they are being diagnosed. The invasiveness and the frequency of the occurrence of these disease makes it one of the difficult cancers to be diagnosed. Our proposed methodology involves diagnosing the invasive ductal carcinoma with a deep residual convolution network to classify the IDC affected histopathological images from the normal images. The dataset for the purpose used is a benchmark dataset known as the Breast Histopathology Images. The microscopic RGB images are converted into a seven channel image matrix, which is then fed to the network. The proposed model produces a 99.29% accurate approach towards the prediction of IDC in the histopathology images with an AUROC score of 0.9996. Classification ability of the model is tested using standard performance metrics.
Psychological and Pedagogical Conditions of Motivating Students’ Educational Activity

In the course of the study, a survey was conducted among the students of Ukrainian EngineeringPedagogics Academy with the aim of identifying the level of their external and internal motivation, the level ofdevelopment of their internal motivation, the main incentives and ways of their motivation to study, as well asfactors that reduce the level of motivation of students in the educational process. The authors’ questionnaireabout students’ motivation was aimed at identifying the motives and incentives to study and to get highereducation, as well as at identifying the reasons that suppress the motivation to study according to the selectedspecialty. On the basis of the analysis of the results of the survey, factors influencing students’ motivation andpsychological and pedagogical conditions of motivating their learning activities have been revealed.Certain psychological and pedagogical conditions are based on the concept of the pedagogical systemand contain the following: awareness of all the departments of a higher educational institution of a commongoal, which is to form a professional focus on engineering and pedagogical activity within the framework of thespecialty chosen by students; selection of advanced teaching and learning content which meets requirements ofthe labor market; use of innovative methods of pedagogical communication; competent higher educationteaching professionals with great skills in managing students’ motivation; requirements for students, theirvalues, professional interests, abilities, level of development of their professional focus, level of generaleducation, general cultural level, – which should necessarily be taken into account during the competitiveselection of students for training.To overcome the existing organizational, substantive, material and personnel problems in the process ofengineering and pedagogical training, the authors put forward recommendations concerning the implementationof the identified psychological and pedagogical conditions for motivating students' academic activities.