Reviewerly/exHarmony huggingface dataset:
Technologies for training leaders of children choirs.

This article describes the psychological and pedagogical features of managing a children choir, professional appearance of the head of the children choir, special musical relationship and psycho-pedagogical disciplines in professional training of the head of the vocal group, lists the methods of the development of musical and psycho-pedagogical competencies of future choirmaster. The subject of the study is the professional training of the leaders of vocal groups. The methodological basis of the study was: system-activity approach to the analysis of personality and activity (L.S. Vygotsky, S.L. Rubinstein, A.N. Leontiev, B.G. Ananyev, B.F. Lomov); a systematic approach to the study of personality and the subject of professional development (B.M. Teplov, K.A. Abulkhanova-Slavskaya, etc.); an activity-based approach to obtaining musical knowledge (E.B. Abdullin, Yu.B. Aliev, O.A. Apraksina, G.M. Tsypin); psychological concepts of labor activity, professionalism, professional success of domestic scientists (E.A. Klimov, A.K. Markova, T.A. Zhalagina, B.A. Dushkov, etc.). The process of training the leader of a children choir includes the interaction of special musical and psychological-pedagogical education courses.
Testing Willingness to Pay Elicitation Mechanisms in the Field: Evidence from Uganda

Researchers frequently use variants of the Becker-DeGroot-Marschak (BDM) mechanism to elicit willingness to pay (WTP). These variants involve numerous incentive-irrelevant design choices, some of which carry advantages for implementation but may deteriorate participant comprehension or trust in the mechanism, which are well-known problems with the BDM. We highlight three such features and test them in the field in rural Uganda, a relevant population for many recent applications. Comprehension is very high, and 86 percent of participants bid optimally for an induced-value voucher, with little variation across treatments. This gives confidence for similar applications, and suggests the comprehension-expediency trade-off is mild.
LibGuides: Summer Reading Program : Children's SRP

This LibGuide has information and resources for the current summer reading program. It has been created for RCLS member library staff.
LibGuides: Community Users Guide: Online Library Card Application

A Library Guide for FVCC Community Users How do I obtain a community user library card at FVCC?
Verifiable autonomy under perceptual limitations

A recent set of algorithms in the intersection of formal methods, convex optimization and machine learning offers orders-of-magnitude improvement in the scalability of verification and synthesis in partially observable Markov decision processes possibly with uncertain transition probabilities.
Distributed computing systems synchronization modeling for solving machine learning tasks

Abstract Distributed computing systems are an effective tool for solving complex problems related to processing large amounts of information and data, in particular, machine learning tasks. To improve the efficiency of these systems in solving complex tasks, special methods for synchronization processes modeling, evaluating and predicting processing delays and query execution, developed in the terms of this models. The approaches for the distributed computing systems organization based on the mathematical apparatus of queuing theory, considered in this paper, allow optimizing the requests processing mechanisms related to solving resource allocation problems, and increasing the consistency of computational processes related to machine learning problems.
Peningkatan kemampuan penggunaan huruf kapital dan tanda baca dalam menulis karangan sederhana melalui model think talk write pada peserta didik kelas III sekolah dasar

Abstract. The purpose of this research is improving the ability to uses capital letters and punctuation in writing simple essays by applying think talk write model. This research is Classroom Action Research with two cycles. The subjects of this research were students of the 3 th students at SD Negeri Pajang II Surakarta in the 2018/2019 academic year, totalling 27 students. This research uses data collection techniques in the form of interview, observation, tests, and analysis document with data analysis of source triangulation and technique triangulation. The analysis of the data used is the interactive analysis model of Miles-Huberman. The first cycle resulting in a percentage of 66.66% in classical, and the study continued with the second cycle with the percentage of 88.89% in classical terms. Based on the result of the research, it can be conclude that the ability to use capital letters and punctuation in writing simple essays on 3 th students of SD Negeri Pajang II Surakarta in the 2018/2019 academic year can be improved through the Think Talk Write model. Keywords : capital letter, punctuation, simple essays, Think Talk Write model
한국 대학생의 영어학습 앱 현황과 수요 분석

(Purpose) The purpose of this study is to understand the college students' preferences in mobile applications for learning English.(Design/methodology/approach) The survey was conducted with 30 college students on the 13th week of the spring semester of 2020, which was conducted online. The questionnaire consists of questions related to English skills they prefer to learn through apps and app functions they need when using. 67 applications, which are for the youth and adults and have downloaded more than 1,000,000, were investigated to find out their functions and contents.(Findings) Among 67 English education applications, conversation, various skills, grammar, vocabulary, game/quiz, and reading was frequent in order and in terms of functions, voice recognition, AI, audio, text, video, realtime chatting, and AR was frequent in order. As a result of the analysis of the survey, respondents preferred to study conversation, test preparation, vocabulary, translation, grammar, pronunciation, dictionary, and realtime chatting through apps. The result of the study also show that they preferred video, voice recognition, text, AI, audio, VR, and AR in terms of functions.(Research implications or Originality) Therefore, the findings of this research suggest that more applications for English learning need to be developed, and more various functions be introduce.
Mobile Robot Learning

Author(s): Kahn, Gregory Martin | Advisor(s): Levine, Sergey; Abbeel, Pieter | Abstract: In order to create mobile robots that can autonomously navigate real-world environments, we need generalizable perception and control systems that can reason about the outcomes of navigational decisions. Learning-based methods, in which the robot learns to navigate by observing the outcomes of navigational decisions in the real world, offer considerable promise for obtaining these intelligent navigation systems. However, there are many challenges impeding mobile robots from autonomously learning to act in the real-world, in particular (1) sample-efficiency---how to learn using a limited amount of data? (2) supervision---how to tell the robot what to do? and (3) safety---how to ensure the robot and environment are not damaged or destroyed during learning?In this thesis, we will present deep reinforcement learning methods for addressing these real world mobile robot learning challenges. At the core of these methods is a predictive model, which takes as input the current robot sensors and predicts future navigational outcomes; this predictive model can then be used for planning and control. We will show how this framework can address the challenges of sample-efficiency, supervision, and safety to enable ground and aerial robots to navigate in complex indoor and outdoor environments.
KRITIK SOSIAL NASKAH DRAMA SANDUR KABUPATEN BOJONEGORO (PENDEKATAN SOSIOLOGI SASTRA)

AbstractThe purpose of this research is to find out the intrinsic and extrinsic elements that exist in the Sandur drama drama Bojonegoro regency, and their relationship in learning Indonesian in high school. Intrinsic elements in sandur drama include theme, setting, plot, conflict, character and characterization, language style and mandate. This type of research is a qualitative descriptive study that applies a sociological approach to literature. the researcher examines social criticism in sandur drama which includes social conditions and social problems that exist in sandur drama. examples of the economy which is the main problem in life that creates social inequality. And social problems that exist in drama Sandur which include criticism of a belief and the level of social welfare. Sandur in this study became a teaching of social values that could be applied in Indonesian language learning in senior high school. The research method used qualitative descriptive method Data collection techniques using literature study, observation and documentation. Data was validated using data source triangulation and method triangulation. The data analysis technique starts from 1) data reduction, 2) data presentation, 3) drawing conclusions and clarifying data. The results in this study are found various sociological values that exist in sandur drama including social conditions which include hard work, struggle and mutual cooperation. As well as social problems which include religion and beliefs, unemployment and poverty. In addition to various sociological values, this study also found that the relationship between research results and Indonesian language learning in senior high school in the 2013 curriculum was as teaching material.Keywords: Social Criticism, Literary Sociology, Sandur Drama, Senior High School LearningAbstrakTujuan penelitian ini untuk mengetahui unsur intrinsik dan ekstrinsik yang ada pada naskah drama
Improve Early Reading Skills in Low Classes Through Big Media

Reading skill is a skill in recognizing and understanding writing in the form of letters, words, and sentences in reading in order to obtain information contained in the reading. By reading we are able to understand the contents of the world and our thinking patterns develop. Developing the courage of students to want to talk and learn can be developed through education. However, unfortunately reading habits are still considered trivial even there are still many students who find it difficult to read fluently. Therefore, there is a need for media that will deliver to students to wish to read continuously. This study aims to improve early reading skills in the lower classes through the Big Book media. This type of research is classroom action research conducted collaboratively, in which collaborative itself is a situation where there are two or more people studying or trying to learn something together - together. The subjects of this study were grade 1 students at Alwashliyah Elementary School, Medan Marelan District, which consisted of 21 female students and 14 male students. Data collection techniques in this study used tests, observations, and interviews. The qualitative data collection instruments used observation sheets and quantitatively used reading skills tests. The data analysis test used is quantitative and qualitative descriptive data analysis. Keywords: Beginning reading skills, Big Book media
CORRUPTION AND ITS EFFECT ON NATIONAL DEVELOPMENT: A CASE STUDY OF NIGERIAN NATIONAL PETROLEUM CORPORATION (2000-2018)

The major objective of this study is to examine the effects of financial corruption on national development in Nigeria (1999-2017). The continuous outcry of the citizens on the evils of corruption and its consequences on national development motivated this study. Data were drawn chiefly from primary sources and subjected to statistical computations of scaling and percentages. The major findings of the study revealed that to a large extent corruption leads to poverty in Nigeria. Also to a large extent increase in oil revenues do not translate to poverty reduction in Nigeria. The study equally, found that to a large extent the oil industry causes underdevelopment and increase poverty in Nigeria. This study therefore advances that stiffer sanctions must be imposed on those found guilty of corrupt practices including death sentences. This will serve as deterrent to others. Since corruption is a relationship of ‘give and take’, both the giver and the receiver must be prosecuted as well. There is the need to strengthen institutions such as the civil service, parliament and the judiciary, which in turn will create interlocking systems of oversight and self-regulation. All of these institutions have to be free of corruption themselves and active players in the fight against corruption and good governance should be entrenched.
TEACHING SPEAKING DESCRIPTIVE TEXT USING CUE CARD AT SENIOR HIGH SCHOOL

This research entitled â€œTeaching Speaking Descriptive Text Using Cue Card at Senior High Schoolâ€. The objective of the research was to Investigate whether The Use of Cue Card is effective or not in teaching speaking of descriptive text and to investigate how studentsâ€™ responses toward Cue Card in teaching speaking descriptive text to the tenth grade studentsâ€™ at senior high school. The subjects of this study were 60 students. The writer used quantitative method and quasi experimental design in this study. The population of this research is tenth grade students of SMAN 1 Beber. The sample of this research was two classes of tenth grade students of SMAN 1 Beber. 30 students as control class and 30 students as experimental class. The data were collected through test and questionnaire as the instrument of this research. The results of this research show that the use of cue card is effective in teaching speaking descriptive text. It was represented in the test hypothesis that taccount 3.260 is higher than ttable 2.002. So the writer concluded that the use of cue card is effective in teaching speaking descriptive text effective at senior high school. The questionnaire also showed that the students gave positive response toward teaching speaking descriptive text using cue card at senior high school.
Agile Methodology of Software Engineering: Annex Approach

The working of a tester is quite different on an Agile project will as compared to a traditional project. A tester must speculate and learn about the features of an agile project which strengthen it and makes them an important component of a complete-team approach besides others. The members working on an Agile project are required to be in touch with each other for effective removal of defects which might occur while making a good quality product. The development is based on the ease of decision making but the existing methods tend to focus more on the narrow aspects of decision making. This study includes all the requirements faced by the customers at each step and the solution to that particular requirement is mentioned after that. The major objective of the study includes taking in consideration all the requirements of the customer and fulfilling those requirements for the full satisfaction of the customer.
Uso de técnicas de aprendizado de máquina para identificar a melhor disposição de sensores vestíveis para detecção de quedas.

With the growing number of elderly people in the current population, it has become necessary to rethink and propose new ways to deal with the specific demands of the age group, since body and psycho-social changes at this age require care. In this sense, the falls of the elderly are among the main causes of difficult recovery situations and deaths. Given this, the use of machine learning along with motion capture through sensors has been increasingly used for the development of fall detection systems. Thus, the present work seeks to use a machine learning algorithm to identify, from wearable sensors data placed in different anatomical regions, to identify the best positions of the human body for their use. Results show that most regions perform well to identify daily activities. However, when it comes to differentiating activities from falls, the highest accuracy was obtained with sensors positioned on the right hip and waist.
The Icelandic L2 Error Corpus (IceL2EC) Version 1.1

The Icelandic L2 Error Corpus (IceL2EC) is a collection of texts in modern Icelandic, written by learners of Icelandic as a second language. They have been annotated for mistakes related to spelling, grammar, and other issues. Each mistake is marked according to error type using an error code, of which there are 253. The corpus consists of 70 files with 17,508 categorized error instances.Villumalheild islensku sem annars mals er safn texta a nutimaislensku sem hafa verið skrifaðir af annarsmalshofum islensku. Villur hafa verið merktar, t.d. hvað varðar stafsetningu, malfraeði og fleira. Hver villa i textanum er flokkuð með hjalp villukoða, en 253 villukoðar eru notaðir i malheildinni. Malheildin samanstendur af 70 textum með 17.508 flokkuðum villutilvikum.
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction

The accurate prediction of the solar Diffuse Fraction (DF), sometimes called the Diffuse Ratio, is an important topic for solar energy research. In the present study, the current state of Diffuse Irradiance research is discussed and then three robust, Machine Learning (ML) models, are examined using a large dataset (almost 8 years) of hourly readings from Almeria, Spain. The ML models used herein, are a hybrid Adaptive Network-based Fuzzy Inference System (ANFIS), a single Multi-Layer Perceptron (MLP) and a hybrid Multi-Layer Perceptron-Grey Wolf Optimizer (MLP-GWO). These models were evaluated for their predictive precision, using various Solar and Diffuse Fraction (DF) irradiance data, from Spain. The results were then evaluated using two frequently used evaluation criteria, the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE). The results showed that the MLP-GWO model, followed by the ANFIS model, provided a higher performance, in both the training and the testing procedures.
107 COVID 19 - Developing A Second Brain for Axillary Conservation During the Pandemic By Extrapolating Evidence On Technical Trends Of Sentinel Node Staging Of Axilla Into A Streamlined Recommendation

Abstract Introduction Axillary conservation is the way forward after game changing trials like ACOSOG Z0011, surrogate trials like IBCSG,AMAROS, ALMANAC, on-going POSNOC, and newbie ATNEC have decreased the need to fiddle with the axilla. Current standard is the utilisation of double technique with radioisotope and blue dye to decrease false negative rates for true sentinel node retrieval. Method Literature search on the topic in the last two decades. Results The search yielded 197 publications which were subjected to a meticulous review. Conclusions Single agent radioisotope is recommended in palpable and good biology breast tumours. Use of single agent blue dye can be standardised in axillary tail tumours. It is also recommended when isotope mapping is logistically not feasible or during pandemics like COVID 19 where looming infrastructure challenges are prevalent. Dual agent technique should be considered in previously treated breast and axilla, neoadjuvant chemotherapy cohort, bad tumour biology, high BMI and macromastia groups for true nodal retrieval. Optimal number of nodes taken out should not be more than three (n = 3). Lower axillary sampling of not more than 3 nodes is recommended for troubleshooting. Magnetic tracing can be used as an adjunct to either single agent (RI/BD) technique when there is failure to localise the sentinel node.
DI Library: About the DI Library: Hours

Hours, contact information, policies, and services of the DI Library DI Library hours of operation and librarian availability
PENYUSUNAN MODUL BERBASIS ANALISIS MIKROBIOLOGIS KUALITAS AIR MINUM PADA DEPO AIR MINUM ISI ULANG (DAMIU) DI AREA KAMPUS UNIVERSITAS PGRI MADIUN

This study aims to produce a module based on research analysis of microbiology teaching materials. Microbiology module preparation is carried out by the method of research analysis, which consists of 3 stages 1) Collection of research data and information 2) Design 3) Development of initial microbiology module products 3) Revision of microbiology module products. This research was conducted in May-June at the Microbiology Laboratory and Chemistry Laboratory at SMKN 3 Madiun. The results of the MPN coliform test and heavy metal content, all research data obtained were combined into the Microbiology Module of the Refill Drinking Water Depot Quality Test (DAMIU). The Microbiology Module was tested by two expert validators with results showing 70% which showed that the module could be used in the field with proper and valid qualifications with a revision. Keywords: module, microbiology, water quality testing, MPN and metal content
Video Analyzer for Social Distancing

The use of social distance as a barrier to the spread of the infectious Coronavirus Disease has been shown to be successful .Individuals, on the other hand, are not accustomed to keeping track of the necessary 6-foot distance between themselves and their surroundings.The spread of this deadly disease could be delayed by an active surveillance system capable of detecting distances between individuals.The paper proposes an AI-based system for automating the task of monitoring social distancing through surveillance.Creating a video analyzer platform to help authorities ensure that social distancing standards are observed in public areas.The tool will monitor if people wear masks and social distancing is maintained in public areas.
A Deep Variational Approach to Clustering Survival Data.

Survival analysis has gained significant attention in the medical domain and has many far-reaching applications. Although a variety of machine learning methods have been introduced for tackling time-to-event prediction in unstructured data with complex dependencies, clustering of survival data remains an under-explored problem. The latter is particularly helpful in discovering patient subpopulations whose survival is regulated by different generative mechanisms, a critical problem in precision medicine. To this end, we introduce a novel probabilistic approach to cluster survival data in a variational deep clustering setting. Our proposed method employs a deep generative model to uncover the underlying distribution of both the explanatory variables and the potentially censored survival times. We compare our model to the related work on survival clustering in comprehensive experiments on a range of synthetic, semi-synthetic, and real-world datasets. Our proposed method performs better at identifying clusters and is competitive at predicting survival times in terms of the concordance index and relative absolute error. To further demonstrate the usefulness of our approach, we show that our method identifies meaningful clusters from an observational cohort of hemodialysis patients that are consistent with previous clinical findings.
Designing a flexible outreach program for scholarly communication and copyright services: A modular roadshow for the University of South Florida

Much the same as many other academic libraries, the University of South Florida (USF) developed scholarly communication and copyright services in response to community demand and to fulfill perceived institutional needs. The services initially established connections through liaison librarians and referral, when faculty patrons intuitively approached the library with a query. Growth of the services was slow. A new method of outreach for copyright and scholarly communication services was needed. The DSS Roadshow, named after the library department Digital Scholarship Services, aimed at providing a menu of modularly configured presentations to faculty and graduate students at the university. Based on two different tracks, scholarly communication or copyright for instruction, the DSS Roadshow was designed to help deliver the services directly to departments around campus.