Reviewerly/exHarmony huggingface dataset:
Music Discovery: Past, Present, and Future

Those designing library discovery systems are presented with numerous challenges, many of which relate to "non-book materials" such as music scores and recordings. Generally, cataloging rules and search or discovery systems are optimized for text written "about" a specific subject or works bearing distinctive, consistent titles. Music scores and recordings do not routinely have distinctive titles, and they exist in a multiplicity of formats. Two additional issues affect users' ability to retrieve music results: a bias toward Western art music and users' expectations based on familiarity with the "one search box approach" found in commercial online retailers' Web sites. This article explores the history of music librarians' efforts to facilitate discovery of music materials. By examining the problems inherent in music discovery and the attempts to solve them through cataloging and discovery systems, the history provided here ends with the release of the Music Discovery Requirements 2 (MDR2): recommendations for those who are guiding the development of discovery interfaces which include music materials, and those who are developing standards for recording and encoding data. Four music-specific issues along with MDR2's recommendations are explored in detail.
Reduction of Speckle Noise in SAR Image with the Application of DSF Filter

SAR (Synthetic Aperture Radar) is a mechanism of radar communication crafted for the object reconstruction with the inclusion of both two and three dimension. It is based on the motion of radar antenna over a target region. SAR has an enormous range of practicalities which includes earth observation applications, areas of natural resource management, etc. The former being covering areas in global monitoring, mapping, charting, and land use planning. The latter is its application in fields of forestry agriculture, water quality monitoring and wildlife habitat management. Being so well rounded in its functioning, there is a vital importance in retaining the necessitated information of the SAR imagery during its compression. The presence of inherent speckle noise demeans the quality of SAR. Multiple filters viz. the Lee or Frost filters, based on variation in adaptive filtering coefficient, have been utilised to restore the reflectivity of radar with the underlying assumption of the presence of multiplicative speckle noise in the image. However, due to the occurrence of strong scatters or the structural features (lines or edge) in processing windows, this type of speckle filtering is not as effective as the method proposed by this paper. This is an algorithm for the filtering using Directional Smoothing Filter (DSF). Thus, following noise removal and information preservation, the proposed method helps segue into high data transmission rates and archival ratios.
Application of Fuzzy Set Theory to Suppress the Effects of Interference

This article proposes the use of the theory of fuzzy sets to suppress the influence of interference on the automatic control system of an unmanned aerial vehicle while stabilizing roll and pitch. The control system was synthesized in the Matlab Simulink graphical simulation environment. Based on the results obtained, a rational control algorithm was selected for the channel for stabilizing the altitude and pitch of the unmanned aerial vehicle.
Azure Scaffold for Enterprise Subscriptions

When analyzing a migration strategy to the cloud, a fundamental component of correctly managing the applications and infrastructure running on Azure is the correct administration of our subscriptions and the team members that administer them.
Autonomic context management in interoperable pervasive platforms

Pervasive computing envisions environments where computers are blended into our environment to provide services. This vision is today very popular and a number of pervasive platforms are already used today in smart homes or smart plants. These platforms however are based on different middleware and networks. Interoperability has recently emerged as a key issue. Interoperability is a difficult problem which requires interactions between platforms that were not designed to do so. It demands to be able to communicate but also to share contextual information on demand. We here present an architecture to federate platforms and a solution to autonomically manage context at the platform level. This is demonstrated in the smart home domain and, more precisely, with the iCasa/iPOJO and Base pervasive platforms.
DESIGN OF TYPE-1 AND TYPE-2 FUZZY SYSTEMS FOR THE CLASSIFICATION OF THE BLOOD PRESSURE LOAD IMPLEMENTED IN GRAPHIC INTERFACE

Objective: Design of optimized type-1 and type-2 fuzzy systems with genetic algorithms, which will help to determine the optimal architecture for the classification of the Blood pressure load (BPL), once the optimal fuzzy system is obtained, it is passed to the module implementation in the general graphical interface, this particular module will help to provide information on the period in which the patient is more likely to have a cardiovascular event based on the percentage of BPL obtained with 24-hour monitoring during the day and night periods. The use of this module will help to strengthen the diagnosis of hypertension. Design and method: The design of optimized type-1 and type-2 fuzzy system for the classification of the BPL is designed based on ranges established by experts in the medical area as shown in the following Table 1. The fuzzy classifier is designed by 2 inputs, which are Diurnal_Load and Nocturnal_Load and an output called Load_level, also it has membership functions and fuzzy rules, which determine the classification and give a load percentage as a final result, which determines the level of BPL that the patient suffers. Table 2 shows an example of the BPL record. Results: Currently, 100% accuracy rate was obtained when classifying the data of 30 patients as indicated in Table 3. The devices used to obtain the database are Micro Life Watch BP03 and Spacelab 90217A ABPM monitor.Conclusions: Fuzzy systems use the intelligence of an expert and perform reasoning through a set of rules. This type of systems helps to be more efficient in less time and thus have an accurate diagnosis of the disease that you want to diagnose, in this case the BPL gives enough information to be able to make an accurate decision and avoid a cardiovascular event. The advantage of using fuzzy systems, unlike conventional classification systems, is that they handle uncertainty which helps determine a decision more accurately.
Perancangan Aplikasi Keamanan Pesan Teks dengan menggunakan Algoritma Triple Transposition Vigenere Cipher

Security is a very important aspect of information systems. Some information is generally only intended for a certain group of people, therefore security is needed to prevent the information from reaching other parties who are not interested so that the possibility of leakage or misuse of information can be avoided by designing a security system that serves to protect the information system . Information security issues that we often encounter include passive tapping, active tapping, fraud and so on. In addition there are two main problems of text message security that must be considered by the user, namely the problem of privacy (privacy) and authenticity (autenthication). To overcome the above problems, the writer tries to design an application that can be used to do the encryption and decryption process by applying the triple transposition vigenere cipher algorithm in encryption and decryption. This algorithm is a super encryption algorithm, because in the encryption process it uses two techniques, namely transposition technique and substitution technique. The substitution technique in this algorithm uses the vigenere cipher algorithm.
ANALYZING STUDENTS’ SPEAKING ACTIVITIES IN TEACHING LEARNING PROCESS USING STAD METHOD

Speaking is one of the most important skills in English where the speakers can express opinion, ideas, responses, information. Speaking is a productive skill that can be done spontaneously or directly given attention about the accuracy of the content of conversation and fluency when speaking. Usually, students are planning first before they are speaking which is expected to be able to improve the smoothness and accuracy about what they will say. the researcher should  provide methode  that  make students  interested  to  learn speaking and can help their progress in speaking ability. Cooperative learning is a term of a general set of learning that is designed to enhance cooperation between students in learning. In cooperative learning, students work in pairs, to maximize their own and other learning. STAD (Students team achievement division) is one of the various technique in cooperative learning, which make promote collaboration and self-regulating learning ability. The reason why the researcher selection of STAD is good interaction among students, improve positive attitude towards subject, better self-esteem increased interpersonal skills. The teacher presents a lesson, and then students work within their teams to make sure that all team members have mastered the lesson. Finally, all students take individual quizzes on the material, at which time they may not help one another.
Design of two-dimensional PR quincunx filter banks with Euler–Frobenius polynomial and lifting scheme

Two-dimensional (2-D) filter banks (FBs) have played a significant role in retrieving the directional information of images. In this paper, we propose a technique to design 2-D two-channel perfect reconstruction (PR) FBs with quincunx sampling. The proposed design method comprises two stages. In the first stage, we propose the design of a new halfband polynomial using Euler–Frobenius polynomial (EFP). This is constructed by imposing vanishing moment and PR constraints on EFP. The resulting new polynomial is a maximally flat Euler–Frobenius halfband polynomial (EFHBP). Later, in the second stage, EFHBP is used in a modified 2-D lifting scheme to design 2-D filters. The design examples for 2-D filters are presented and compared to existing filters. The performance shows that proposed filters have better regularity, symmetry and less energy of the error compared with existing FBs. Finally, performance of designed filters is evaluated in image denoising application.
Automatization of HER2 Status Assessment in Breast Cancer

Today, during immunocytochemical (ICH) studies for the differential diagnosis of breast cancer (BC), the degree of oncoprotein expression is assessed visually. Accordingly, to increase the reproducibility of research results, its automation is required. To automate the determination of HER2 status, in this article we propose a segmentation algorithm based on adaptive binarization and compare different classification methods to choose the best one.
TUTURAN MAHASISWA DALAM PRAKTEK PELAYANAN RESTORAN MAHASISWA PROGRAM STUDI DIPLOMA IV PERHOTELAN STIPAR TRIATMA JAYA

Bali is always trying to improve itself in aspects of tourism especially in accommodation and services. In terms of service to tourists, communication is one of the most decisive factors. It encourages workers in tourism sector to have good communication skills, especially communication in English. This phenomenon requires the graduates in education and training institutions of hospitality and tourism to have good communication skills, especially communication in English.In this study, researcher raised the students of STIPAR Triatma Jaya joring in Management Business Hospitality as an object of research. The analysis in this study was made to answer the following questions: (1) the problems faced by students in speaking English in terms of speech act (pragmatic), and (2) to find some factors inhibiting students in learning to speak.This researchshowed that students majoring in Management Business Hospitality, experienced problems during the lesson especially in communicate English pronunciation, word selections and the using of English grammar. It is still influenced by the magnitude of the first language or mother tongue. Some factors have limited the students in speaking English, those factors are: components of linguistic mastery, and mastery of the content component, and environmental conditions during the learning process for example, the conditions where there was a little open space in the class room resulting the inclusion of sounds that interfere the process of learning.&#x0D; Keywords:speaking, speect act, barriers, foreign language (English)
Making Practical Decisions with Primo Analytics

Primo Analytics offers the possibility of providing clear value in terms of quantitative data about discovery usage. For Loyola University Chicago Libraries, the next step has been to evaluate and apply that data in a practical manner, particularly after our transition to the new Primo UI in January 2018. This presentation will highlight how we began gathering Analytics data, as well as analyses we have created to better understand usage patterns. We will also provide examples of initial changes and projects we have undertaken in order to improve the discovery and public service experiences of our users. Projects include a multi-institution search string evaluation for populating Resource Recommender and understanding usage, making decisions about facet options, and determining fruitful areas for in-person usability testing. Finally, we will discuss our problems and troubleshooting experiences with Primo Analytics, with the goal of emphasizing potential future improvements and showing how it fits into a larger assessment program.
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks

For training fully-connected neural networks (FCNNs), we propose a practical approximate second-order method including: 1) an approximation of the Hessian matrix and 2) a conjugate gradient (CG) based method. Our proposed approximate Hessian matrix is memory-efficient and can be applied to any FCNNs where the activation and criterion functions are twice differentiable. We devise a CG-based method incorporating one-rank approximation to derive Newton directions for training FCNNs, which significantly reduces both space and time complexity. This CG-based method can be employed to solve any linear equation where the coefficient matrix is Kroneckerfactored, symmetric and positive definite. Empirical studies show the efficacy and efficiency of our proposed method.
Comparison on Confidence Intervals for Variance of Random Effect in Unbalanced Hierarchical Model

The objective of this research is to study and  compare three interval  estimation methods  for  variance of random effect  in unbalanced hierarchical model; the method by TG (Ting et al ., 1990), the method by PB (Park et al ., 2003)  and the method by LL (Li et al ., 2005). The considered criteria are based on the confidence coefficients and the average length of the confidence intervals. The scopes of this research are consisted of the sample sizes:  (5,8,10),  (5,10,15),  (5,2,7,5,7,9) and (5,10,15,5,10,15)  the  intracluster correlation (p= 0.001, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.999) and the confidence level which is 90%. Data is simulated 2,000 times for each situation by Monte Carlo Technique using SAS software. The simulation results show that the method by PB is the best method for almost situations because it provides the smallest average length of confidence interval.
Telecom Domain: Fraud Management

In this chapter, we will learn how we can control fraud in roaming services in the telecom domain by strategically engaging the Corda decentralized ledger.
Quantum Information Science in Italy (IQIS 2018 Editorial)

The 11th Italian Quantum Information Science conference (IQIS 2018) took place in Catania, Italy, at the Monastero dei Benedettini, from September 17 to 20, 2018. IQIS 2018 was organized by the Department of Physics and Astronomy “E. Majorana” of the University of Catania, and by IMM-CNR, Catania. The conference also hosted an event dedicated to the FET-Flagship 2018/28 on Quantum Technologies. These proceedings collect papers contributed by the participants, which extend presentations delivered at the conference, and were subjected to peer-reviewing. They provide a snapshot of the contributions (mainly, but only) by the Italian scientific community to the developing field of quantum information and related subjects.
Experiences Felt by Private Kindergarten Teachers due to Resignation and Reinstatement

이 연구에서는 사립유치원 교사의 퇴직과 복직 경험을 탐구하고 이러한 퇴직과 복직 경험을 개인적 맥락, 유아교육기관의 맥락, 제도적 맥락 내에서 이해하고자 하였다. 이 연구의 목적을 달성하기 위해, 질적 사례 연구방법을 활용하여 퇴직과 복직을 경험하고 현재 사립유치원에 재직 중인 2명의 교사를 연구 참여자로 선정하였다. 권 교사와 김 교사 각각 7회와 6회의 면담을 4개월에 걸쳐 진행하였다. 연구결과, 권 교사는 실습생처럼 대우받는 초임교사로서, 부담임과 종일반교사로서의 역할에 갈등을 느껴 퇴직한 후, 재충전의 시간을 갖고, 지인의 요청으로 퇴직 8개월 만에 다시 사립유치원으로 복직하였다. 권 교사의 퇴직과 복직경험은 개인적으로 치유와 휴식의 시간이었고, 복직한 유치원의 긍정적인 조직풍토와 인적환경이 권 교사의 성공적 복직에 매우 중요했으며, 미흡한 복직지원제도의 필요성을 상기시켜주었다. 김 교사는 유치원의 상황과 개인적 상황으로 퇴직과 복직을 반복하였는데, 가장 마지막 퇴직은 육아를 위해서였다. 김 교사는 퇴직 기간 동안 온전히 육아에 전념하였으며, 이는 복직한 유치원에서 교사로서 ‘돌봄’ 전문성을 발휘하는 데 도움이 되었다. 김 교사는 퇴직과 복직을 반복하는 동안 양육경험으로부터 복직에 필요한 전문성을 기를 수 있었으며, 복직한 유치원에서 원장의 배려로 일과 양육을 함께 할수 있었고, 변화된 유치원 환경에 적응하기 위해 연수를 통해 자신을 발전시키려고 노력했다. 연구결과에 기초하여, 소진을 막기 위한 적절한 휴식 및 휴가 보장, 복직을 원하는 교사를 위한 정보제공과 지원, 복직교사를 대상으로 한 체계적인 연수 제공 등을 제안하였다.This study aims to examine experiences the private kindergarten teachers underwent in the course of resignation and reinstatement, and the meanings of such experiences in individual, education institutional, and institutional contexts. The data was collected for 4 months from 2 private kindergarten teachers, Ms. Kwon and Ms. Kim, who have experienced both resignation and reinstatement. The findings are as follows. Ms. Kwon was not able to adapt to her job initially due to various difficulties resulting from being a newcomer to the private kindergarten . Yet after 8 months of rest and some wandering, she decided to become a kindergarten teacher again. After being reinstated, through the cooperative atmosphere of that kindergarten, she once again established her identity. Ms. Kim worked as an experienced teacher at a childcare center (Sky Kindergarten), but after getting married she resigned due to her new married life situation. After having a 5-year break, she went back to teaching and was reinstated at Sky Kindergarten, and is exerting utmost efforts on her given role at work while acknowledging the conflicts arising from the two roles she has in life as both a mother and teacher. By resigning earlier in their careers, these 2 teachers were not only able to relieve various stress accumulated while working at kindergarten, but also were able to recharge themselves by having the much-needed time of their own, which, in turn, led to a more positive perspective on their previous work experiences. Therefore private kindergartens should, rather than looking at the resignation of a kindergarten teacher from a strictly negative perspective, consider offering teachers opportunities to rest and develop themselves during leaves of absence instead of a permanent job loss. Lastly, in order to prevent permanent resignation and loss of kindergarten teachers and support the reinstatement of those teachers with gaps in their career, it may be necessary to establish a healthy organizational culture by forming sound relationships among the members of a kindergarten, and provide adequate support to the teachers in development phases of their careers. And, it is urgent that social perceptions change, to acknowledge the individual lives and needs of married teachers as well.
Umiędzynarodowienie usług Biblioteki Politechniki Gdańskiej

One of the key objectives pursued by The Gdansk University of Technology Library is to support the process of internationalisation carried out at The Gdansk University of Technology, also in the context of foreign students' service. The text discusses the historical context of educational mobility in Europe, provides statistical data on foreign students in the world and in Poland and shows how the internationalisation of The Gdansk University of Technology and The GUT Library is presented on the basis of the presented data. In addition, a repertoire of initiated activities is presented, the aim of which is to develop the internationalisation of the academic library, coordinated by the Team for International Academic Cooperation in The Gdansk University of Technology Library.
Opinion Extraction on Online Malay Text

Growing of social media usage present a new set of opportunities and challenges in the way of information is retrieved and searched.Opinions on social media has become an important factor in influencing people choices on purchasing a product and service.Hence, sentiment analysis has become the most crucial tool in tracking people feedbacks on products and services.For Malay language there is limited sources available for this language.Thus, in this paper we present the method of extracting opinion on online Malay text.The traditional method using POS extraction is not adequate.Thus, rule based method is integrated with POS extraction method to improve opinion words extraction.Most of the existing tools are able to retrieve opinion at sentence and document level.More detail analysis is acquired to have detail information and summarization of a product.This is where feature level sentiment analysis is needed.The process of identifying opinion of a particular feature in a sentence, can be quite tedious and troublesome.This is because opinion of the feature can be hidden and scattered in the sentence.Therefore, opinion mapping is employed for opinion extraction at feature level in this paper.A set of tweets from telecommunication domain is used to evaluate the proposed framework.From the experiment, the accuracy of the extraction performed is 88%.The detail description of the feature level opinion extraction steps is discussed in this paper.
<i>The History and Rebirth of the Remarkable Haile Gold Mine</i> by Jack H. Morris. Vertel Publishing, www.vertelpublishing.com. 324 pages; 2018; $29.99 (hardbound).

"The History and Rebirth of the Remarkable Haile Gold Mine by Jack H. Morris. Vertel Publishing, www.vertelpublishing.com. 324 pages; 2018; $29.99 (hardbound).." Rocks & Minerals, 94(4), pp. 380–381
The Brain’s Best Guess

In this final chapter, I propose that behavior-based calibration of perceptions and abstract representations are constrained by a preconfigured brain. The nervous system may have evolved to mimic the statistical probabilities of the physical world and the behavior of already existing species and thus become an efficient predictor of events. Because of their high diversity, neurophysiological and perceptual brain dynamics, both spanning several orders of magnitude, share a common mathematical foundation: the log rule. The tails of these wide and skewed distributions have apparently distinct qualitative features that we describe by discrete words, such as familiar and novel, rigid and plastic, good-enough and precise. Yet every novel situation contains elements of familiarity. Brain correlates of newly acquired experience are not created in the sense of adding new neuronal words to an ever-expanding vocabulary. Instead, the preconfigured brain is a dictionary in which the behavioral significance or meaning of initially nonsense neuronal words is acquired through exploration.