Reviewerly/exHarmony huggingface dataset:
The Use of Communicative Approach to Improve Local Guide’s Speaking Skill

This research is to know how the local guides’ speaking skills are after joining the class with a communicative approach and cycles. this  research is categorized into classroom action research. Research employed role play as approach to teaching strategy. There were thirteen local guides as student with different educational background in the class. In conducting research, researcher was accompanied an English teacher as collaborator.  To face learners’ obstacles in speaking English, teachers have to teach using strategy. It tells the technique to teach speaking to the local guides in Kulon Progo with role play as activity in learning process. This research needs two cycles that include five steps such as planning, acting, observing, implementing and reflecting in each cycle. Those cycles shows improvement in speaking English. Learners also show their confident in speaking English in front of their friends. The result of the research is local guides are interested in role play and being confident to speak up. Some speaking aspects are well developed such as pronunciation, grammar, fluency, interactive communication and vocabulary. The pre-test shows score 37.46. It raises to be 40,54 that seen from cycle 1. So that there is improvement of score 3.08. Then, cycle I obtains 40,54 and cycle II obtains 45,925 so that from cycle I to cycle II there is an improvement score 5,385. Meanwhile cycle II and cycle III shows significant improvement score 4,925 from obtained score 45,925 to 50,85. It can be concluded that each cycle shows good improvement. Those scored components are seen from the score and collaborator’s report. The role is interesting in teaching speaking that enhances local guides’ speaking skill
Сімейне виховання у православній педагогіці

The focus is on the fact that the family plays an important role in the life of every person, as a type of religious education schoolIt is proved that family upbringing has a deep practical significance and is an important prerequisite for understanding many processes in society.What kind of people children will grow up depends on the upbringing of parents. In some families, material values play an important role, in others – spiritual values are more important. Orthodox families keep traditions, love and respect their parents. In such families, they support each other in joy and sorrow. The main difference between the Orthodox family and others is love for people and faith in good. Orthodox parents teach children not to be offended by others, but to accept the situation as a test and overcome it.
Comment on “Achieving Secure, Universal, and Fine-Grained Query Results Verification for Secure Search Scheme Over Encrypted Cloud Data”

Recently in IEEE Transactions on Cloud Computing (TCC), Yin <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> <xref ref-type="bibr" rid="ref5" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[5]</xref> designed a fine-grained query verification mechanism where a novel certificateless short signature scheme is proposed for validating the data of encrypted query results. Despite the authors alleged that their scheme achieves the existential unforgeability to ensure the authenticity of verification objects, we found that this scheme fails to resist the forgery attack. Specifically, through launching the concrete attacks, a malicious adversary can forge a signature on any verification object without being detected.
Design of Blended Teaching Mode of College English Based on "Production-oriented Approach"

With the development of the times and the progress of the society, the teaching quality of College English in current colleges and universities is far from meeting the needs of the society and the expectations of learners. “Production-oriented Approach” is a teaching method aiming at overcoming the disadvantages of “separation of study and use” in College English teaching in China. In addition, the research of blended teaching has become the common focus of many researchers and teachers. Based on POA and blended teaching, this paper mainly designs an experimental teaching program of College English, hoping to find out an efficient teaching mode.
Multiregion entanglement in locally scrambled quantum dynamics

We study the evolution of multiregion bipartite entanglement entropy under locally scrambled quantum dynamics. We show that the multiregion entanglement can significantly modify the growth of single-region entanglement, whose effect has been largely overlooked in the existing literature. We developed a theoretical framework, called the entanglement feature formalism, to organize all the multiregion entanglement systematically as a sign-free many-body state. We further propose a two-parameter matrix product state (MPS) ansatz to efficiently capture the exponentially many multiregion entanglement features. Using these tools, we are able to study the multiregion entanglement dynamics jointly and represent the evolution in the MPS parameter space. By comparing the dynamical constraints on the motion of entanglement cuts, we are able to identify different quantum dynamics models in a unifying entanglement feature Hamiltonian. Depending on the quantum dynamics model, we find that multiregion effects can dominate the single region entanglement growth and only vanish for Haar random circuits. We calculate the operator-averaged out-of-time-order correlator based on the entanglement feature Hamiltonian and extract the butterfly velocity from the result. We show that the previously conjectured bound between the entanglement velocity and the butterfly velocity holds true even under the influence of multiregion entanglement. These developments could enable more efficient numerical simulations and more systematic theoretical understandings of the multiregion entanglement dynamics in quantum many-body systems.
Implementasi Metode Alpha-Trimmed Mean Filter dan Adaptive Median Filter Untuk Mereduksi Noise Poisson Pada Citra Digital

Basically, every image taking can cause noise in the resulting image. Nooise Poisson, Uniform, Salt and Pepper, Speckle noise are noise models that are common in images. Digital images that have noise can cause problems in the form of images that cannot be interpreted properly by humans. However, noise can be reduced through image enhancement, namely filtering. Filter methods that can be used to reduce noise include AlphaTrimmed Mean Filter and Adaptive Median Filter. The results of this study indicate that the Adaptive Median Filter (AMF) is good for reducing Noise Poisson compared to Alpha-Trimmed Mean Filter (ATMF). The design can later improve the quality of digital images and make it easier for radiologists to analyze images exposed to noise and produce even better image
Implementasi Algoritma Camellia Pada Penyandian Citra USG

Digital images are very vulnerable to data capture or theft by irresponsible parties. For the sake of maintaining the security of USG images can be done by using cryptographic techniques. Cryptographic techniques can encode ultrasound images by encrypting them in the form of codes that are not understood. Camellia Algorithm is one algorithm that can be relied upon to realize cryptographic techniques. This symmetry algorithm will produce a higher level of security to the USG image because it can encode it into a cipher with a process that is complex enough so that it will be difficult for cryptanalysts to access the image. This research will use the 128-bit Camellia Algorithm for the encryption and decryption process, so the process needs to go through several long stages in order to produce the final cipher. This algorithm requires 18 rounds where every six rounds must enter Function F and FL-1 Functions and also requires as many as 26 subkeys namely kw, k and kl. This study describes the process of securing the USG image by encoding it based on the Camellia algorithm, in the form of a password that is difficult for others to understand and understand. This is done as an effort to minimize acts of misuse of the USG image.
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions

Learning effective representations of visual data that generalize to a variety of downstream tasks has been a long quest for computer vision. Most representation learning approaches rely solely on visual data such as images or videos. In this paper, we explore a novel approach, where we use human interaction and attention cues to investigate whether we can learn better representations compared to visual-only representations. For this study, we collect a dataset of human interactions capturing body part movements and gaze in their daily lives. Our experiments show that our muscly-supervised representation that encodes interaction and attention cues outperforms a visual-only state-of-the-art method MoCo (He et al.,2020), on a variety of target tasks: scene classification (semantic), action recognition (temporal), depth estimation (geometric), dynamics prediction (physics) and walkable surface estimation (affordance). Our code and dataset are available at: this https URL.
Effect of Learning Interests, Peer Environtment and Attention Parents on Motivation to Learn Vocational High School Sts Jakarta

This study aims to: 1) the effect of interest on the students motivation to learn; (2) the effect of peer environment on the results of student motivation; (3) the effect of parental supervision of students' motivation study ;, and (4) the effect of interest study, peer environment and attention of parents of student motivation. The population in this study were all students of SMK office administration. To answer the hypothesis in this study using multiple regression with F test and t test. It can be concluded that: (1) there are significant interest in learning about student motivation; (2) there is the effect of peer environment on student motivation; (3) there is the influence of parents' attention to the motivation to learn; and (4) there are significant interest in learning.
Blind Identification of Communications Networks in Service Layer

One of the major challenges in electronic and cyber warfare is to achieve maximum information from the intercepted signals of a communications network. To this aim, the first step is reverse engineering of the physical and data transmission layers in order to obtain the transmitted packets. In the next step, service layer should be identified. In this step, the exact meaning of each packet along with the communications state machine should be identified. By completing these tasks, the information content exchanged through the network would be available. In this paper, a comprehensive scheme is proposed for identification of the service layer. With the intention of proving proficiency of the proposed scheme, usability of this scheme for identification of nine different standards, including GSM, LTE, HSDPA, DVB-S2, FLEX,
Determinants of Inflation in Sub-Saharan Africa: A Systematic Review

Macroeconomic stability is the central aim of policymakers of most nations.Inflation is considered a crucial element of Macroeconomic stability.Empirical evidence confirmed the existence of a long-run relationship between inflation and other macroeconomic variables.The major objective of the study is to investigate the main determinants of inflation in sub-Saharan African countries.The study used a systematic review technique.Therefore in-depth literature review has been done on 11 studies undertaken in 9 sub-Saharan African countries.Accordingly, among the eight variables used for analysis, GDP, Broad money supply, Real exchange rate, and interest rate, is the main source of inflation.On the other hand import prices, Inflation expectations, public expenditure, and oil prices are found to determine inflation slightly.
Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks

Optical Character Recognition (OCR) is the method of classification of optical patterns contained in an exceedingly digital image. The character recognition is achieved through segmentation, feature extraction, and classification. one of all the foremost used tools for optical character recognition may well be a tesseract. During this project we try to create an alternate of tesseract which is our own model ready to} recognize different handwritten digits which don't seem to be printed but written manually and since tesseract is solely able to recognize printed digits, it'll be a valuable feature for several developers. We use the Support Vector Machine during this process. Support Vector Machine could also be a classification tool at home with recognizing handwritten digits. We also use a Neural network for Data analysis and classification of knowledge. In particular, handwritten digit recognition has been applied to acknowledge amounts written on checks for banks and zip codes on envelopes for postal services. The handwritten digit recognition system may be divided into four stages, Data acquisition, Pre-processing, Feature extraction and Classification. Support Vector Machines, within the machine learning theory, are used for classification and analysis. they've supervised learning models with associated learning algorithms that analyze data and recognize patterns. As per the requirement of the information into consideration, the Support Vector Machines are modeled to classify. Support Vector and naive Bayes, both don't require the maximum amount of computation power compared to deep learning which makes it possible for the developers to deploy the model natively instead of running it in a server container.
Analysis of Verbal Pattern Sentence Children with Autism

In this paper discusses about one of the difficulties with language in autistic children that is in the use of sentence patterns orally. The purpose of this study was to determine the form of oral sentence patterns used or possessed by children with autism. Sources of data in this study is autistic children in the SDLP Cangakan Karanganyar with data’s in the form of speech or verbal language. Data collection techniques used in this study is a method of speech and methods of listened. Then, an advanced technique used is the technique of recording and written. Data analysis techniques performed by following three stages, namely: (1) data reduction phase, (2) the stage presentation of data, and (3) stages of inference or verification. Oral forms of sentence patterns of autistic children generally simple or quick-factly, and oral language skills of children with autism depends on the level of autism suffered. Keywords : children with autism, the oral sentence patterns.
Identifikasi Tingkatan Warna Pada Kopi Roasting Menggunakan Metode HSV Berbasis Mobile

Image processing (digital image processing) is a discipline that learns about image processing techniques. The image referred to in this study is a static image derived from sensor vision (webcame). Mathematically, an image is a continuous function with light intensity in a two-dimensional field. In order to be processed with digital computers, an image must be presented numerically with discrete values. A digital image can be represented by a two dimensional matrix f (x, y) consisting of M columns and N rows. In this study the color method used is the HSV color method, that is, the image (RGB) is converted into HSV to compare the original image with the results of RGB to HSV conversion. Image color processing, there are various models, one of them is the model of hue, saturation, value (HSV). By using this model, an object with a certain color can be detected and reduce the influence of the intensity of light from the outside. Coffee roasting is one of the processes of making coffee that is ready to be drunk and this roasting coffee uses a level of maturity that is very different according to the taste of the audience but until now no roaster has been able to correctly guess the roasting coffee level that has been made so from that the author took the title
Rekayasa Partikel Nano Komposit Magnetik Berstruktur Kulit TiO2 sebagai Bahan Katalis Pereduksi Limbah Pewarna Tekstil

The core shell structure of TiO 2 @SiO 2 @ferrite(Ni-Cu-Zn) as composite nanoparticles for magnetic photocatalyst were successfully prepared in this study. These particles are synthesized continually by the sol-gel method and they are tested for their performance using MB dye solution. The magnetic core particles used in the synthesis were (Ni-Cu-Zn) ferrite with size of 20-60 nm, while SiO 2 and TiO 2 layers were formed using tetraethoxysilane and tetrabutly titanate. Some characterizations and testing were carried out to investigate the crystal structure, magnetic properties, surface conditions and performance of these particles. The results show that the anatase crystal structure of TiO 2 was obtained on the outer shell of the particle, while the magnetization value and surface area were achieved at 4.74 emu/g and 126,831 m 2 /g , respectively. The performance results of photo degradation was quite good for reducing MB dye up to 63.37%.
Диалогизация Гамлета или искусство быть в обществе вечных поэтов

The anthropological relationship of Shakespeare's Hamlet with the parable content of the cartoon and the film “The Lion King” is traced in the transdisciplinary approach to the psychology of art. This material is used for the existential analysis of Hamlet's dialogization in the dialectic of destiny and freedom through the comprehension of the individual development in the art of being. Hamlet’s dialogization refers to the process of expanding the dialogue between Hamlet and Shakespeare in cultural and historical space and time, including other participants in it. The concept of “eternal poets” as cultural heroes working with anthropological connections, relationships and boundaries, is introduced by analogy with the “dead poets” from the N. H. Kleinbaum’s book. Theoretical analysis is based on the positions and ideas of famous domestic and foreign philosophers (N. A. Berdyaev, U. Eco), psychologists (L. S. Vygotsky, A. G. Asmolov, D. A. Leontiev), psychotherapists (R. May, V. Frankl, E. Fromm), writers (N. H. Kleinbaum) and theater figures (N. V. Demidov). This theoretical analysis shows that the eternal poets are distinguished by an existential worldview, a special duty to humanity, freedom and responsibility, work with the ultimate foundations of the Universe, anthropological challenges and meanings. In this article, the belonging of W. Shakespeare to the “eternal poets” is scientifically proven, the meaning of the dialogue between man and the humane through the reinterpretation of oneself in culture and art is revealed. In this work, it is demonstrated that the appeal of a person to the experience of the eternal poets leads to the development of the art of being in the transitions between the stages of this art. The importance of the arts and genres dialogue is particularly emphasized in the Hamlet’s dialogization for the development of the Shakespearean sphere. The significance of Hamlet's dialogization in the development of a personal freedom through the acquisition of the art of being is justified in the material of The Lion King.
Peran Manajemen Layanan Akademik Dalam Peningkatan Mutu Akademik Perguruan Tinggi

Academic service management has an important role in improving academic quality in Higher Education. Academic service providers involve all components of higher education. The components involved are lecturers, employees, and all staff in universities. Academic service management must be applied optimally. Demonstrate a good attitude, friendly, polite, and understand the applicable Standard Operating Procedures (SOP). Lecturers, employees, and all university staff must be productive, creative, and innovative. All work together in implementing academic service management. Improving service management can be carried out by 1) understanding the meaning of academic service management, 2) quality of academic services management, 3) evaluating academic service management in improving the academic quality of higher education.
Research on Online Teaching Model under the Guidance of Constructivist Learning Theory

Constructing a college English online teaching model under the Constructivist Learning Theory is to promote the integration and sharing of educational resources. Constructivist Learning Theory is the foundation of online teaching model. For the first half year of 2020, online education was a necessary teaching method. The effect of online teaching research under the guidance of Constructivist Learning Theory should be taken consideration. The author takes the college English online teaching model of his own school as an example for research of this subject.
Studi Komparatif Kinerja Karyawan Menggunakan Fuzzy Inference System Metode Mamdani

The problems that can be seen in the company are related to performance including there are still employees who have poor performance, seen from some employees who often violate regulations. In addition, there are still employee performance qualities that are not in accordance with the company's expectations, the persistence and hard work of employees at work are still low and have not shown satisfying results for the company. Many employees who are not disciplined in work, such as working hours are often used for resting. From the research results show to improve performance among employees at PT. Permata Hijau Palm Oleo (PHPO) Belawan is made based on criteria For each employee value data consisting of discrete (crisp) values, the simulation value will then be made. The simulation value is a value that represents each quality achievement standard with a value range of 0 – 100. In this case, a range of values for the simulation can be made as follows : Nilai 0 dan 1 memiliki rentang nilai 0 – 50, nilai 2 memiliki rentang nilai 51 – 75, Nilai 3 memiliki rentang nilai 76 – 100
Design and Implementation of Automatic Theft Control Using Smart Security System

The contemporary available technology for Automobile Access Control, safety features and Communication has its inalienable restrictions due to various factors & keeping pace with the necessities of the market, an attempt has been made to enhance its performance in the areas of safety, timely user communication & feedback regarding change in location, unauthorized access & the like. Safety features include detection against Alcohol consumption, unauthorized access, internal wiring tampering, position change followed by communication to the user by an application and further engine disable feature to avoid any further misadventure.