Reviewerly/exHarmony huggingface dataset:
P0853DECISION SUPPORT SYSTEM (DSS) FOR DIAGNOSTICS AND TREATMENT OF PATIENTS WITH CKD COMPLICATIONS

Abstract Background and Aims Some of the most common complications of CKD are anemia and bone and mineral disorders (BMD). Adequacy of treatment of patients with these complications directly affects their life quality and duration. The goal of our work is to create medical decision support system (MDSS) that will be able to generate recommendations on diagnostics and treatment of CKD patients with anemia and BMD complications, based on clinical guidelines and control the fulfillment of corresponding prescriptions. Method We have developed an automated medical decision support system that generates recommendations on patient’s treatment and further studies that are mandatory according to regulations, based on patient’s electronic medical record. The functionality of MDSS is based on knowledge base (KB), which consists of clinical guidelines formalized as mathematical logic operators. The system is also able to control how medical staff fulfills generated diagnostic and treatment prescriptions: deadlines, duration and order of actions, mandatory studies from regulations, drug therapy, etc. The assessment of the system was conducted on more than 2000 CKD patients on chronic dialysis from 30 “Nefrosovet” hemodialysis clinics. Results MDSS was developed using process-based management principles and was successfully employed on representative sample of patients with CKD on chronic dialysis from “Nefrosovet” hemodialysis clinics. The system generated recommendations for this group of patients for the duration of 6 months. Recommendations were related to diagnostics and treatment of patients, specific diagnoses, scheduled and additional studies, drug prescriptions (where dose was set by a physician), etc. As a result of using a system, we were able to reduce average treatment cost of patient by 14% for anemia related treatment and by 36% for BMD related treatment. At the same time the treatment quality has improved from an average of 46% to 60% of patients in target ranges of key laboratory parameters after 6 months of system usage. Treatment cost has reduced due to the timely start and gradual cancelation (by indications) of drug therapy, which also allowed us to avoid overadministration of unnecessary drugs. Conclusion Deployment of developed MDSS for process-based management of patients with CKD on chronic dialysis with anemia and BMD complications has shown high cost efficiency. Furthermore, automated diagnostics, therapy and prescription fullfilment control is performed without loss of quality, sometimes even with the improvement of quality of treatment process.
IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM KEPUTUSAN PENENTUAN PENERIMA BANTUAN BEDAH RUMAH DI KECAMATAN PULO BANDRING

Pulo Bandring Subdistrict is a sub-district in Asahan Regency, in the prosperity of the community the Pulo Bandring sub-district has a house renovation program that is no longer habitable with this program, which is expected to improve the welfare of its citizens. But the problems that occur in the field when making a decision to determine whether or not a proper house renovation from the government is appropriate and appropriate. Because usually the determination of eligibility is determined by a team appointed by the government, this team determines whether or not they are entitled to get house renovation assistance by the local government. Assessment of whether or not feasible to get the house surgery assistance, still uses the manual method that only looks at aspects that are developing in the community but does not see from the other side and may be a decision making there are weaknesses in it, so from that the compiler thinks and makes a a system that can determine the feasibility of a home surgical recipient to be more efficient and no longer uses a manual system so that the home surgical recipient is right on target. Decision Support System is a tool that serves to determine whether or not the public gets a house renovation from the right and proper government. Because the system can determine the feasibility of a home surgery recipient to be more efficient and no longer use a manual system so that the recipient of home surgery is right on target and in accordance with the qualifications that are indeed in need of assistance with house surgery. Keywords: Home Surgery, SAW, Decision Support System, Web
Everything’s Coming Up Roses for Pasadena Seismologists

Using fiber-optic cables, a new seismic network charts vibrations associated with the Rose Parade’s massive floats and marching bands.
STUDENTS’ GRAMMAR ABILITY AND THEIR SPEAKING SKILL: A CORRELATION STUDY

Speaking is one of four skills in English which is very necessary skill. Grammar is basic component in languages especially in English which made grammar are always correlated with the four skills. This study demanded to find is there any correlation between grammar and speaking. The purpose of this study is to know there is any correlation between students’ grammar ability and their speaking skill or not. In this study researcher only focuses on students’ daily speaking and students’ simple present tense. The method used in this study was quantitative method. The sample of this study was 7th Grade students of SMPN 11 Bintan where chosen by cluster random sampling technique. The data collected through writing test and speaking test. The data show the mean of students score for grammar and speaking is 9.67 and 9.93. This proves students’ grammar ability and speaking skill are low. The result of this study show the P-Value (probability Value) was 0.000 which less than minimum value of probability 0.05. This proves students’ grammar ability and their speaking skill were significance correlated.
The potentials of virtual reality in entrepreneurship education

Contemporary entrepreneurship draws individuals to engage their capacity, efforts and abilities in the creation of new services and products that compete with market demand (Bellotti et al., 2012). Starting a new business venture is an uncertain undertaking and unstable process that necessitates a developed mental model, allowing the entrepreneur to go through a sense-making and decision-making processes. Entrepreneurship education provides individuals with the required skills and knowledge and gives them the ability to recognise relevant opportunities and potential pitfalls (Jones & English, 2004), but it frequently struggles with finding effective learning tools. Taking a look at virtual reality as a technological and complementary tool that enables the user to learn and evolve their skills by immersing themselves into virtual environments is a necessary step in inspecting functional teaching approaches. The following chapter explores various possibilities of virtual reality that could provide needed skills and functional knowledge for future entrepreneurs.
The Suggestions for Improving Applied Music Education in Korea through Comparative Analysis of Curriculum, Educational Facilities and Faculty Recruitment Rate between Music Conservatories in China and Applied Music Departments in Korea

본 연구는 중국 음악대학교의 실용음악학과와 한국 주요 실용음악학과의 교과목, 교육시설, 교원 충원율을 비교분석하여 한국 실용음악 교육 발전을 위한 제언을 하는데 목적이 있다. 교육과정의 경우, 국내 실용음악학과의 교과목이 중국 대학보다 다양성 면에서 더욱 경쟁력이 있음을 확인할 수 있었으나, 교육시설 면에서는 한국의 실용음악학과 보다 중국의 투자 규모가 월등히 크고 교육수요에 부합한 양질의 교육환경을 갖추고 있음을 알 수 있었다. 교원 충원율에 있어서도 중국이 한국의 실용음악학과보다 교수 1인당 학생 수 여건에서 매우 앞서있음을 확인할 수 있었다. 연구결과를 바탕으로 향후 한국 실용음악 교육 환경의 개선과 국제적 인지도 제고를 위해 적절한 교육시설, 교원 충원 등 다각도의 경쟁력 강화가 필요하다는 점을 제언하였다.This study analyzes the curriculum, educational facilities and faculty recruitment rate of the applied music department of China and Korea in order to propose an improvement plan for applied music education in Korea. In the case of educational curriculum, curriculum in applied music departments in Korea are more competitive than those in Chinese music conservatory. In terms of educational facilities, China invests much more than Korea and has a quality educational environment that meets the needs of education. From the point of view on the faculty recruitment rate, China has an advantage over the applied music department of Korea in the proportion of teachers. Based on the results of this study, in order to improve the international visibility of applied music education in Korea, improve the educational environment, put forward a variety of suggestions.
Artistic-creative approach to the methodical preparation of students of faculties of arts of pedagogical universities

The article shows the essence of artistic and creative activity of the teacher of musical art, the possibility of realization of which involves mastering personal-oriented pedagogical technologies. The purpose of the article is theoretical synthesis and systematization of the possibilities of artistic and creative approach to the methodical preparation of future teachers of music. The expediency of applying pedagogical technologies of contextual, problem learning, as well as information, design technologies in the preparation of teacher-musician is determined. The leading role of dialogicity and dialogue technologies in the process of professional activity of the teacher-musician is underlined with the help of which it becomes possible to comprehend the dialogue of cultures necessary for the analysis of artistic phenomena of various cultural-historical epochs, styles, genres. It is shown that the use of dialogue technologies contributes to the comprehension of the depth of the artistic content of a musical work, the comprehensive comprehension of music as a phenomenon of culture. It is revealed that within the framework of the artistic and creative approach to the training of music teachers, the dialogue determines the spiritual and value attitude to the essence of musical art, reveals the creative potential of the student-musician.The article shows that the most effective scientific approach to the methodical preparation of future teachers of musical art is an artistic and creative approach. The artistic and creative approach of the teacher of musical art to performing musical-educational activities as a system education is determined by external and internal factors. For external factors it is expedient to include the influence of the socio-economic environment, the specific features of the educational institution of artistic education, in which the student is realized, the goals and objectives formulated by a particular pedagogical team, etc. Internal factors include the need for creative activity, motivational and spiritual-value spheres, other internal sources of creative activity of a music teacher.
Analysis and Comparisons of Performances on Different Transform Encoding Techniques

In this chapter, analysis of implementation results for all transform techniques used in this book for steganography and authentication is given elaborately.
Las guías de autoaprendizaje en el proceso formativo de los estudiantes universitarios: Retos y estrategias

This article addresses some essential considerations on the functionality and practical significance of self-learning guides as a resource that stimulates the teaching-learning process in the area of artistic education, as well as, in the search for information, with the objective of promote self-learning in university students, taking into account the autonomous character and cognitive independence, the essential elements for the development of a guide and the basic conceptual domains of the different artistic manifestations. In the research, theoretical and empirical methods were used to corroborate the relevance of the study.
Model-based estimation of baseball batting metrics

We introduce an approach to model the batting outcomes of baseball batters based on the weighted likelihood approach and make use of our methodology to estimate commonly used baseball batting metrics. The weighted likelihood allows the sharing of relevant information among players. Specifically, this allows the inference on each batter to make use of the batting data from all other players in the league and, in the process, allows for improved inference. MAMSE (Minimum Averaged Mean Squared Error) weights are used as the likelihood weights. For comparison, we implemented a semi-parametric Bayesian approach based on the Dirichlet process, which enables the borrowing of information across batters while providing a natural clustering mechanism. We demonstrate and compare these approaches using 2018 Major League Baseball (MLB) batters data.
ANALYSIS ON THE STUDENTS’ COMMON DIFFICULTIES IN TOEFL READING COMPREHENSION (A CASE STUDY ON THE SECOND SEMESTER OF ENGLISH STUDY PROGRAM AT ISLAMIC UNIVERSITY OF INDRAGIRI TEMBILAHAN)

The problem in this study was the students’ common difficulties in TOEFL Reading Comprehension. This study only used one variable. The research method used in this study was a descriptive research. The purpose of this study was to know the students’ common difficulties in TOEFL Reading Comprehension on the second semester of English Study Program at Islamic University of Indragiri Tembilahan. The total of the sample used in this study were 23 students, the technique was used to take the sample is total sampling. In collecting the data, the researcher used a test. After the data has been collected, the result of test showed that the skills that are considered to be the most difficult ones in TOEFL reading, which is skill 3. This skill is identifying stated detail questions correctly. It is the highest percentage (84%) with the total of incorrect answer is 210 from 5 items. Then, it is followed by skill 5 (82%) with the total of incorrect answer is 82 from 2 items, which is finding pronoun reference. It is the second most difficult skill for the students. The third most difficult skill is skill 7. It is responding of transition question achieve 81% with the total of incorrect answers is 81 from 2 items. Next, skill 10 is considered to be the fourth most difficult skill in TOEFL reading comprehension. The questions are about the use of context to give meaning of difficult word which is counted 80 % from the total of incorrect answers is 120 from 3 items. Then, the fifth most difficult skill in TOEFL reading comprehension is skill 1, which is consisting the questions about answering main idea questions correctly, students made 78% of the total incorrect answers is 156 from 4 items.
Improving the quality of text-to-speech (TTS) using deep learning - Emphasis on vocoders and speaking style adaptation

The public defense on 12th June 2020 at 12:00 will be available via remote technology.Link: https://aalto.zoom.us/j/68945695146Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guideElectronic online display version of the doctoral thesis is available by email by request from aaltodoc-diss@aalto.fi
Social Media Fake Account Detection for Afan Oromo Language using Machine Learning

A social networking service serves as a platform to build social networks or social relations among people who, share interests, activities, backgrounds, or real life connections. A social network service is generally offered to participants who registers to this site with their unique representation (often a profile) and one’s social links. Most social network services are web-based and provide means for users to interact over the Internet. (M. Smruthi, , February 2019).Online social networking sites became an important means in our daily life. Millions of users register and share personal information with others. Because of the fast expansion of social networks, public may exploit them for unprincipled and illegitimate activities. As a result of this, privacy threats and disclosing personal information have become the most important issues to the users of social networking sites. The intent of creating fake profiles have become an adversary effect and difficult to detect such identities/malicious content without appropriate research. The current research that have been developed for detecting malicious content, primarily considered the characteristics of user profile. Most of the existing techniques lack comprehensive evaluation. In this work we propose new model using machine learning and NLP (Natural Language Processing) techniques to enhance the accuracy rate in detecting the fake identities in online social networks. We would like to apply this approach to Facebook by extracting the features like Time, date of publication, language, and geo position. (Srinivas Rao Pulluri1, A Comprehensive Model for Detecting Fake Profiles in Online Social Networks, 2017) DOI: 10.7176/NMMC/90-01 Publication date: May 31 st 2020
Peningkatan Aktivitas dan Hasil Belajar Siswa pada Pembelajaran IPA Materi Gerak Benda Melalui Pendekatan Saintifik

There are four aspects of skills in Indonesian language learning that must be mastered by students, namely listening, speaking, reading and writing skills. But in reality, when Indonesian language learning takes place, most students are less skilled in writing skills. Based on preliminary observations in teaching and learning activities Indonesian language is less interesting and students' interest in learning, especially in writing learning. The purpose of this study is to improve short essay writing skills in class II SDN RW X Demak Jaya Surabaya through the use of serial image media. This type of research is Classroom Action Research (CAR). The subject of this study was the second grade students of SDN RW X Demak Jaya Surabaya in the 2017-2018 school year with 37 students. One class consists of 18 male students and 19 female students. This research was conducted in two cycles. The results showed that the use of serial image media can improve short essay writing skills. This can be evidenced by the acquisition of student activity values that have increased from the first cycle of 52.5% to 77.5% in cycle II. While the teacher's activity scored 50% in the first cycle and increased to 77.5% in the second cycle. The percentage of completeness of students also increased, namely in the first cycle 59,45% to 86,48% in the second cycle.
INDO PENTA KILL GAMERS COMMUNITY MEMBERS' MOTIVATION UPON ONLINE GAMES

This study aims to provide an overview of the motivations that encourage members of the Indo Penta Kill Gamer Community to play online games. This research is qualitative in nature where its main function is to explain the phenomena that occur and develop in society. The sample in this study is determined using random sampling in which the total population was 65 gamers while the total random sample is 7 (10% of the total population) - based on the sampling technique proposed by Arikunto (2010) that number could represent the voice of the entire population if taking data using the interview method) gamers where the gamers are incorporated in the WhatSapp chat group. The data collection method used is an online interview using Google Form
Conformance Checking Methodology Across Discharge Summaries and Standard Treatment Guidelines

Conformance checking of treatment plans in discharge summary data would facilitate the development of clinical decision support system, treatment plan quality assurance, and new treatment plan discovery. Conformance checking requires extraction of medical entities and relationships among them to form a computable representation of the treatment plan present in the discharge summary. We propose a workflow representation of patient’s discharge summary that is referred to as workflow instance. We employ a multi-layer perceptron neural network to extract relationships between medical entities to construct the workflow instance. The aim of this work is to check the conformance of the workflow instance against standard treatment plan. Standard treatment plans are extracted from the treatment guidelines provided on healthcare websites such as WebMD, Mayo Clinic, and Johns Hopkins. For each disease, these guidelines are curated, aggregated, and represented as a workflow specification. We commend multiple measures to compute the conformance of workflow instance with workflow specification. We validate our conformance checking methodology using discharge summary data of three diseases, namely colon cancer, coronary artery disease, and brain tumor, collected from THYME corpus and MIMIC III clinical database. Our approach and the solution can be used by hospitals and patients to determine adherence, gaps, and additions to standard treatment plans. Further, our work can facilitate to identify common errors and goodness in actual enactment of treatment plans, which can further lead to refinement of standard treatment plans.
Encouraging immersion in the Soil Sciences through virtual conferences where ideas are shared among avatars to improve the educational background of young scientists

This chapter presents a teaching experience in which a virtual immersive conference was created to hold participative meetings between senior researchers and young scientists on soil sciences. Our aim was to provide PhD students with the opportunity to attend and present their work to experts at an international conference such as the European Geosciences Union Assembly, whose main purpose is to transfer this scientific and educative experience to other fields. An overview of the experiences along the last three editions of the conference (2015–2017) is provided. The main points of concern were technical. In particular, it was essential that the server at the conference site have the capacity to provide a reliable Internet connection for the number of participants attending. Regarding the strengths, the young scientists greatly appreciated the sense of immersion and the fun atmosphere, which encouraged them to interact, voice their opinions freely and use a foreign language. Unlike conventional presentations, the more informal format of these innovative meetings clearly increased interaction among participants, which was well valued by the young scientists.
Present Education System in India: A Challenging Priority in the Society

Education in India has gone under many issues; some are personal, social, conditional and political during the long period of time. Education is the base infrastructure in the development of Indian Economy and in living standards, as it creates human capital directly. Human capital is an intangible asset or quality not listed on a company's balance sheet. It can be classified as the economic value of a worker's experience and skills. This includes assets like education, training, intelligence, skills, health, and other things like employers’ value such as loyalty and punctuality. There are also positive moves to it, but resulted in insufficient efforts or towards wrong directions. It is due to which education is still very far from reaching to the common citizens in the country. Worlds and nation also introduced some of the new methods and techniques of education which are good for new generation for the better understanding of the subject, but still many people of the nation are not getting any benefits of these due to different reasons. But there is still some hope for the better improvement in the quality and equality of educational policies among the society and which can provide society with the educated and well-settled human capital which can contribute to the economy in greater ways.
Discrete Cosine Transformation-Based Reversible Encoding

This chapter deals with discrete cosine transformation (DCT)-based reversible encoding. At the beginning of the chapter, the generalized DCT is discussed along with its inverse transform pair. Sub-image (window)-based transform encoding with embedding and extraction process is given in detail based on 2 x 2 mask along with technical details of message encoding/decoding process. Various properties of DCT are also discussed. Computations of 2D and 3D DCT and IDCT with numerical examples are given to show the reversibility of transform pair with embedding and extraction algorithms in detail. A complete algorithm of implementation of steganographic scheme based on 2D DCT is also given along with results. Application of DCT is given at end.