Reviewerly/exHarmony huggingface dataset:
Exercises Involving Groups

There is an actor in every musician, and these exercises tap into the theatrical nature of music-making. Closer to pure theater games than the other exercises in this book, the exercises in this brief but essential section provide a variety of ways for groups to explore musical and theatrical expressivity without needing to play musical instruments. The exercises here are fun yet challenging experiments that consider issues of tempo, range, dynamics, phrasing, silence, ensemble coordination, communication, conducting, improvised counterpoint, and much more, through the use of spoken text, improvised speech, noises, and movement. These exercises might be used as warmups before group rehearsals, whether of a chorus, chamber ensemble, band, or orchestra. They are designed to support positive group interaction and build trust and confidence while having fun and learning together.
互动视角下“X是吧？”构式分析

Tag question is a special sort of the non-interrogative sentence, which is one of the Chinese general question sentences, including the special questions, the non-interrogative sentence, the positive questions and the select questions. X-shiba, which is one of the main tag questions, consists of a statement X and a tag form shiba. X-shiba presents strong settability in syntax because of the weak replaceability in paradigmatic relations and strong stability in syntagmatic relations. In addition, the meaning of the construction, which can be generalized as strongly convinced and weakly interrogatory, is solidified and unanalyzable. In an interactive approach, of the construction X-shiba reflects four functions. The first is weakly interrogatory function, which can be supported by the corpus analysis based on BBC. The second function is the desire for approval. An analysis based on the BLCU Corpus Center shows that most of the answers to X-shiba are positive, and the answers should be clear and detailed if they are negative. The third one is turn-taking, which means the speaker can exchange the role with the listener with the help of the construction X-shiba when he/she doesn’t want to continue the topic. The last function is that the construction can highlight the conversational implicature and propel the communication. The interactional construction grammar declares that the constructions with similar meaning or function can be regarded as a group, in which some constructions are basic and others are derived from the basic construction(s). The Tag question construction X-shiba is a derived one of the low hierarchy in the question construction group.
Conclusion and Next-Gen NLP

This chapter summarizes various past, present, and future NLP methods and techniques. The chapter ends with information on good research papers on NLP and deep learning.
Ron Paul: No, cryptocurrency is not something the Fed should be getting its 'hands around'

In its latest bad idea, movement is building for the Federal Reserve to establish its own cryptocurrency exchange to compete with others in the marketplace and even replace physical cash.
Decoding AI

The "Decoding AI" event was conducted online by ViSER for high school students and adults between Oct 10 to Oct 31, 2020 and was sponsored by ACM SIGAI . The proposal for the event was selected by ACM SIGAI from a pool of entries. It was advertised on different social media platforms and registration was available using Google forms and Eventbrite.
Current model of professional development of primary teachers in South Khorasan province: A Grounded theory-based approach

Objective: One of the major issues in education, given the expansion of the human resources community, especially teachers, is the strengthening of human resources. Teachers are one of the most important variables that need to be changed in order to improve educational systems. The purpose of this study is to investigate the current situation of professional development of primary school teachers. Materials and Methods: The approach of the present study was qualitative and based on the grounded theory approach. The statistical population included all the agents involved in the professional development programs of teachers in South Khorasan province who were selected through purposive sampling of the criterion type. Data were obtained through semi-structured interviews with 12 teachers, 4 school principals and 2 human resources education experts in South Khorasan. In order to analyze the data, open, axial and selective coding methods were used. In order to keep each of the participants in the research process confidential and to observe the research ethics, a code was assigned to each of them. The data collection tool in this study is a semi-structured interview. Lincoln and Cuba (1980) criteria were used to ensure validity and reliability. In the field of validity, the method of controlling the participating members was used. In the field of portability, the findings were made available to experts. In the field of reliability, the method of agreement between coders was used and in the field of peer verification and peer verification. Discussion and Conclusion: The results of the research show thirty-three central concepts and thirteen selected categories, which in the form of a five-factor model include lack of proper program and unprofessional view of professional development as a central category and causal conditions ( Individual and organizational factors), contextual factors (environmental and organizational factors), facilitator intervention conditions (motivation, needs assessment and empowerment programs), restrictive intervention conditions (program challenges and challenges) Financial and policy (strategies) (current and actions felt needed) and consequences (reduction of motivation and waste of resources) were organized.
Implementasi Metode Regresi Linier Berganda Dalam Estimasi Tingkat Pendaftaran Mahasiswa Baru

Every agency or an organization that wants to survive is needed to improve a proper service. Increasing the amount of capacity is an important thing to note, one way that can be done to estimate the amount of capacity is by data mining. The data mining method used in this case is to use the Multiple Linear Regression algorithm. This algorithm is an analysis that has more than one independent variable. This research was conducted at AMIK Tunas Bangsa Pematangsiantar, by analyzing the data for new students to estimate the number of new student admissions. From the results of this study, the estimated number of new students got 93 people, which previously was 107 people, which means that in the following year there was a decrease in the number of new students from the year previous. This study aims as a recommendation in improving future evaluation.
MOTIVATION OF EDUCATIONAL ACTIVITY OF STUDENTS AS A PSYCHOLOGICAL AND PEDAGOGICAL PROBLEM

The article is devoted to the study of the peculiarities of motivation for the educational activity of university students. The dynamics of changes in motives in the process of teaching bachelors was revealed.
Jurnal Ilmu Farmasi &amp; Farmasi Klinik Journal of Pharmaceutical Science &amp; Clinical Pharmacy

Jurnal&#x0D; Ilmu Farmasi &amp;&#x0D; Farmasi Klinik&#x0D; Journal of Pharmaceutical Science &amp; Clinical Pharmacy&#x0D; Pemimpin Umum/ Penanggung jawab&#x0D; Dekan Fakultas Farmasi Universitas Wahid Hasyim&#x0D; Pemimpin Redaksi&#x0D; Ketua Program Studi Farmasi Fakultas Farmasi Universitas Wahid Hasyim&#x0D; Dewan Penyunting Jurnal&#x0D; Dr. Yulias Ninik W., M.Si., Apt.&#x0D; Redaktur Ahli&#x0D; Dr. Ahmad Ainur Rofiq, M.Si., Apt. (Universitas Sebelas Maret), Burhan Ma’arif Zaenal Arifn, M.Farm. Apt.&#x0D; (UIN Maulana Malik Ibrahim), Dr. Isnaeni, M.S., Apt. (Universitas Airlangga), Kuni Zu’aimah Barikah, M.Farm.,&#x0D; Apt. (Universitas Jember), Dr. Nurkhasanah, M.Si., Apt. (Universitas Ahmad Dahlan), Khoerul Anwar, M.Sc.,&#x0D; Apt. (Universitas Lambung Mangkurat), Dr. Gunawan Pamudji Widodo, M.Si., Apt. (Universitas Setia Budi), Dr.&#x0D; Laela Hayu Nurani, M.Si., Apt. (Universitas Ahmad Dahlan), Dr. Iis Wahyuningsih, M.Si., Apt. (Universitas&#x0D; Ahmad Dahlan), Dr. Wahyu Widyaningsih, M.Si., Apt. (Universitas Ahmad Dahlan), Muhammad Ikhwan Rizki,&#x0D; M.Farm., Apt. (Universitas Lambung Mangkurat), Dr. Yulias Ninik W., M.Si., Apt. (Universitas Wahid Hasyim),&#x0D; Maulita Cut Nuria, M.Sc., Apt. (Universitas Wahid Hasyim), Yance Anas, M.Sc., Apt. (Universitas Wahid&#x0D; Hasyim), Risha Fillah Fithria, M.Sc., Apt. (Universitas Wahid Hasyim), Aqnes Budiarti, S.F..Sc., Apt. (Universitas&#x0D; Wahid Hasyim), Ririn Lispita Wulandari, M.Si.Med., Apt. (Universitas Wahid Hasyim), Maria Ulfah, M.Sc., Apt.&#x0D; (Universitas Wahid Hasyim), Elya Zulfa, M.Sc., Apt. (Universitas Wahid Hasyim), Anita Dwi Puspitasari, S.Si.,&#x0D; M.Pd. (Universitas Wahid Hasyim), Dewi Andini Kunti Mulangsri, M.Farm., Apt. (Universitas Wahid Hasyim),&#x0D; Devi Nisa Hidayati, M.Sc., Apt (Universitas Wahid Hasyim), M. Fatchur Rochman, M.Farm. (Universitas Wahid&#x0D; Hasyim), Malinda Prihantini, M.Si., Apt. (Universitas Wahid Hasyim)&#x0D; Redaktur Pelaksana&#x0D; Elya Zulfa, S.Farm., M.Sc., Apt&#x0D; Staf Redaksi :&#x0D; Dewi Andini Kunti Mulangsri, M.Farm., Apt.&#x0D; Ririn Lispita W., S. Farm., M.Si.Med, Apt.&#x0D; Devi Nisa Hidayati, M.Sc., Apt&#x0D; Danang Novianto, S.Farm., Apt&#x0D; Erika Indah Safitri, M.Farm.&#x0D; Imam Asrofi, S.Farm.&#x0D; Distributor&#x0D; Fahmi Wildasani, A.Md&#x0D; Alamat Redaksi/Tata Usaha&#x0D; Fakultas Farmasi Universitas Wahid Hasyim&#x0D; Jl. Menoreh Tengah X/22 Sampangan Semarang&#x0D; Telp. 024-8505680, 8505681 Fax. 024-8505680&#x0D; E-mail : jiffk@unwahas.ac.id&#x0D; Terbit 2 kali setahun sejak September 2004
Internet Crimes- it’s Analysis and Prevention Approaches

In the present period of computerized handling, high level of online information is looked with digital threats. There are unlimited dangers and difficulties to information existence online. Cyber-attacks which are considered the emerging and serious threats that are going on each second and investigation of those dangers and threats are exceptionally hard to confine and vanquish them. Cybercrimes have a terrible effect on governmental and non-governmental organizations, educational institutions, financial banks and economic infrastructures. Numerous worldwide societies, policy makers and intelligent agencies are trying to react and control cybercrimes. One of the most serious issue in the online processing is that how to secure and deal with our day by day information against digital misrepresentation and cybercrimes. To comprehend cybercrime and save our digital assets, this paper will analyze about various cybercrimes and addresses the effective prevention and detection ways and methods used for the avoidance, controlling, detection and combatting of those crimes.
Improving Learning Outcome of English Teacher Training Participants by Using moodle Learning Management System (LMS): Using moodle Learning Management System (LMS)

This research was based on the teaching and learning process now in the education and training field which most of it still tends to be done conventionally. Learning through E-learning can overcome the constraints of space and time. Widyaiswara (Instructor) and training participants can make the learning process both synchronous (direct), and asynchronous (indirectly) through the virtual world. This study is intended to describe the influence of Moodle LMS in improving the learning outcomes of English Training participants in Religious Education and Training Center (BDK) Surabaya. Formulation of the problem “Is there a significant and positive influence on the use of Moodle LMS on Improving Learning Outcomes of English Teacher Training Participants?” The research method used is pre-experimental one group pretest-postets with regression analysis. Regression analysis is used to find out how much influence the independent variable has on the increase in the dependent variable. The results showed that after teaching and learning process was carried out with the Moodle LMS application media there is a significant and positive influence on the use of Moodle LMS to increase the learning outcomes of English Teacher Training participants and the amount of the influence of the Moode LMS usage variable on the increase participant learning outcomes is 77.4%. That is, the effect of Moodle LMS on the learning outcomes of training participants is 77.4%. The findings may encourage instructors to use Moodle LMS in order to increase the learning outcomes of Teacher Training participants, as well as providing valuable insight or understanding for lecturers, instructors, education and training policy makers in the realm of teacher training.
Before you leave the newsroom

A field producer’s job begins long before they leave the newsroom. This chapter includes a checklist of equipment and apps that every mobile journalist needs to have in their arsenal. Readers will also learn how to create a plan (and a backup plan) for field coverage, including designating a point person in the newsroom.
Information Security Analysis of Chinese Character Captcha Based on Siamese Neural Network

CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) plays a pivotal role in the network security of information systems, and has been widely used in various fields.This paper uses Tensor Flow as the neural network framework and uses Siamese network to reduce noise information and extract the characteristic information of the captcha.The experimental results show that the recognition rate of the Siamese neural network for the four-character image captcha with noise interference is 97.40%.Therefore, the siamese neural network has a strong recognition ability for complex captchas.At the same time, this high recognition ability leads to serious security risks in the information system.Therefore, the current Chinese character captcha design technology still needs to be strengthened and improved.
The Analytical Hierarchy Process of Decision Support Systems in Choosing Learning Models

Learning model basically it was form of learning that was described from beginning to the ending that was typically presented by the teacher. With words another, the learning model was a wrap or frame of the application of an approach, method, and learning techniques. The achievement of a teacher's learning goal required a model learning. The learning model used by the teacher must be able to foster students' abilities for various learning objectives. learning models could help educators to be able to develop academic potential in the cognitive and intellectual realms of their students. Various innovations were needed in the teaching and learning process to produce a conducive teaching and learning situation learning objectives could be achieved. The learning process was planned and implemented as a system, the learning process would occur when students interact with the environment designed and prepared by the teacher and it was more effective when using methods, strategies, approaches, and models, appropriate and efficient learning. In selecting the learning model at STMIK Royal Kisaran, there are several criteria and alternatives that have been selected in this study. From several criteria and alternatives, it is necessary to use a method that is able to perform calculations to obtain a solution. Several criteria and alternatives need to get the highest priority value which must be preceded by the implementation in addition to the ranking priority below. In selecting the learning model in this study using the Analytical Hierarchy Process (AHP) method. Where this method could analyze with several criteria and alternatives in selecting the best learning model. that were determined through the calculation process
Exploring Visual Attention Mechanism for Scene Understanding in Image Captioning

Scene understanding is a high-level computer vision research task that requires multiple fundamental vision tasks on different visual elements. Image captioning is a typical scene understanding task that understands salient visual contents in a real-world scene of an image and then automatically describes its understandings via a natural language sentence. This thesis concentrates on exploring visual attention mechanism for the scene understanding in image captioning, aiming to achieve a comprehensive multimodal and transparent scene understanding ability. Specifically, four problems are studied to enhance the visual attention mechanism to fine-grained spatial level, to a comprehensive semantic level, and to a high-level ability of attending to visual relationships for interaction words.Firstly, this thesis proposes a fine-grained and semantic-guided visual region attention model based on a novel Fully Convolutional Network (FCN)-Long Short Term Memory (LSTM) framework. It can attend to both object and “stuff” regions at a fine-grained grid-wise resolution and only focuses on the principal object information in each grid cell. In addition, grid-wise semantic labels are introduced to provide semantic guidance to ensure that related visual regions in different grid cells are correlated to each other. Moreover, an additional semantic context can be summarized from these textual semantic labels.Secondly, this thesis proposes a novel high-resolution FCN encoder is used with a residual attention structure to achieve a high-resolution attention supporting four high fine-grained resolutions (i.e., 27 x 27, 40 x 40, 60 x 60, 80 x 80). A size-invariant “attention correctness” metric is further proposed for evaluating the attention accuracy under different resolutions. Based on the COCO-Stuff dataset, pixel-level evaluations are conducted on both object and “stuff” regions to analyse the performances of high-resolution fine-grained visual region attention.Thirdly, this thesis concentrates on visual relationship attention exploring visual relationships between object regions under spatial constraints based on the parallel attention mechanism. The goal is to fully explore the relationships/interactions between visual regions for achieving an accurate description of interaction words in the caption. Moreover, it is trained implicitly through an unsupervised approach without using any explicit visual relationship annotations.Last but not the least, this thesis takes a further step to achieve an adaptive attention module that can perform the role of both visual region attention or visual relationship attention adaptively according to the needs of language decoder. The dynamic linguistic context of the language decoder is fully leveraged for exploring and attending to related visual relationships for interactive words.
Hospital Performance Assessment Clustering in North Sumatra by using K-Means Algorithm

The hospital is an integral part of the entire health care system that serves patients with various types of services. The hospital assessment system is an effort to provide a tool that encourages the hospital to continuously improve the quality and safety of services. Thus the hospital must apply hospital accreditation standards, including other standards that apply to hospitals in accordance with the description in the Hospital Accreditation Standards. Data mining is a process of finding meaningful relationships, patterns, and trends by examining a large set of data stored in storage using pattern recognition techniques such as statistical and mathematical techniques.In this research the data mining algorithm used is the K-Means Clustering Algorithm. The simplest and most common method is because K-Means has the ability to classify large amounts of data in a relatively fast and efficient computation time.
Looking for the soundscape of the future : preliminary results applying the design fiction method

The work presented in this paper is a preliminary study in a larger project that aims to design the sound of the future through our understanding of the soundscapes of the present, and through meth ...
The Effects of Flipped Learning Class Model on Aviation Tourism-majored College Students

The objective of this study was to develop and investigate the effects of flipped learning class model on aviation tourism-majored college students. For this study, the flipped learning class model was developed and twenty-one tourism-majored college students who were 15 women and 6 men in their second grade chosen as the participants. They were asked to study learning material in advance and participate in the classroom activities including group work and presentation for 15 weeks, except mid term and final term period. The data collected consisted of pre and post TOEIC reading practice test results with 100 questionnaires, academic attitude questionnaires and students’ learning logs. The results of this study have been obtained as follows; First, there was academic improvements in 21 students’ reading comprehension ability after 15 weeks. Second, there were significant changes in academic attitude such as confidence and learning motivation as shown in questionnaire responses. In particular, flipped learning class model contributed to boosting the students’ self-confidence. Further studies are needed to look into the effects of flipped learning class model based on the students’s need analysis.
Human Motion Prediction Using Wavelet Transform

The goal of prediction human motion is to analyze a subject's behaviors based on observed sequences and produced future body motions.The results of conventional methods that predict the values of pixels produced blurring and artifacts frames and the accumulative error will lead to poor quality of prediction.So to obtain good video prediction, in this work the deep neural network has been employed and proposed using wavelet transform with CNN-VAE model to analyze the input data to multi scales and extract features using CNN to encode it by VAE model, LSTM model has been used to predict encoded data and decoded it by used CNN-decoder to produce the new predicted frames.The propose system achieved best results in PSNR, MSE and SSIM and made the time of training and testing (prediction) faster.The experiments have been applied on two dataset: KTH and Weizmann and generate realistic video of 1200 ms.The best accuracy was (0.97) with KTH dataset of waving motion.
IOT With Blockchain Based Techniques: Review

Internet of Things (IoT) and blockchain advances are undergoing exponential development in the scholarly world and industry. For the most part, IoT is unified frameworks whose safety and computation predominantly depend on unified servers. Therefore, clients need to confide in the concentrated servers; moreover, it is hard to organize outer computing assets to enhance the execution of IoT. Auspiciously, the blockchain may give this reorganization, great believability and good security. Subsequently, blockchain based IoT turn into a sensible decision for the plan of a distributed IoT framework. This review paper reviews the most significant examinations completed in this field of convergence of IoT with blockchain. This review paper depicts diverse existing combination of IoT with blockchain models. Additionally, benefits and limitations of existing research works are discussed.