Reviewerly/exHarmony huggingface dataset:
PEMILIHAN INPUT MODEL ADAPTIVE FUZZY INFERENCE SYSTEM (ANFIS) BERBASIS LAGRANGE MULTIPLIER TEST DILENGKAPI GUI MATLAB (Aplikasi pada Data Harga Beras Kualitas Rendah di Indonesia Periode Januari 2013 – Februari 2019)

Adaptive Neuro Fuzzy Inference System (ANFIS) is a method that uses artificial neural networks to implement fuzzy inference systems. The optimum ANFIS model is influenced by the selection of inputs, number of membership and rules. In general, the selection of ANFIS input is based on Autoregressive (AR) unit as a result of ARIMA preprocessing. Thus it requires several assumptions. In this research, an alternative selection of ANFIS input based on Lagrange Multiplier Test (LM Test) is used to test hypothesis for the addition of one input. Preprocessing is conducted to obtain the value of partial autocorrelation against Zt. The input lag variable which has the highest partial autocorrelation is the first input ANFIS. The next input selection is selected based on LM test for adding one variable. To test the performance of LM Test, an empirical study of two groups of generated data and low quality rice prices is conducted as a case study. Generating data with stationary and non-stationary criteria has a good performance because it has very good forecasting ability with MAPE out sample for each characteristic are 5.6785% and 9.4547%. In the case study using LM Test, the selected input are and with the number of membership 2. The chosen model has very good forecasting ability with MAPE outsampel 6.4018%. Keywords : ANFIS, ANFIS Input, LM-Test, Low Quality Rice Prices, Forecasting
A Fast Action Recognition Method with Cascaded Networks

Action recognition emerges in an endless stream and has become a hot topic in computer vision research. Obviously, fast response on recognizing video is highly desirable for the consideration of practical large-scale applications, like smart home. In our view, input frames and network structure play important roles on improving the efficiency of the action recognition. For that, a novel three-stage action recognition cascaded network architecture is proposed in this paper that consists of SelectNet, CaptureNet, and 2D+2.5D low-rank Net. The SelectNet which is a relatively-shallow network designed to filter informative video frames can guarantee all the selected frames contain meaningful information. For CaptureNet, we adopt object detection algorithm to capture object area which can avoid the influence of the clutter background. 2D+2.5D low-rank Net is an efficient network for performing action recognition which can extremely reduce computational cost. Extensive experiments on benchmark dataset UCF101 have been conducted and clearly shown that our approach yields the similar accuracy to most state-of-the-art methods at much faster processing speed.
Control System for Wheeled Humanoid Following Robot

Abstract Aiming at application and development prospects of following robot, a control system for humanoid 18-DOF robot supported by four wheels is designed. The system adopts the double-controller structure composed of master controller Raspberry Pi and slave controller STM32 for servo control of robot based on multi-sensor information fusion. In this control system, USB camera and two-axis pan-tilt are used for capturing images with wide viewing angles. Multi-scale template matching and Median-Flow algorithm are used for target recognition. Kalman Filter is used to fuse acceleration and angular velocity given by attitude sensor to obtain the reliable upright angle. PID algorithms are applied to the control system to realize robot’s upright angle control, speed control and turning angle control. Robot’s action adjustment is achieved by controlling its joint steering gears. The experimental results show that this low-cost wheeled humanoid robot has good self-balancing stability, anti-interference and following stability.
Study of Cytomorphology Patterns of Breast Lesions and their Correlation with Thyroid Profile Over a Period of One and Half Years in a Tertiary Care Centre of Malwa Region

Introduction: Fine needle aspiration cytology (FNAC) has become an increasingly popular technique for assessment and initial diagnosis of breast lumps as it is the least invasive technique for obtaining a cytological diagnosis and is of high accuracy if done by experienced personnel.Thyroid hormone receptors affect both the normal breast cell differentiation and breast cancer cell proliferation, with effects of thyroid hormones similar to those caused by estrogens.Relationship between thyroid disease, such as nodular hyperplasia, hyperthyroidism and thyroid cancer, with breast cancer was demonstrated in several studies.In the present study, we have evaluated the correlation of cytomorphological diagnosis of breast lesions with thyroid profile.Material and Methods: Total of 80 cases were included in the study and all necessary statistical analysis was done including the percentages, means, standard deviations, ranges and p values.Results: Triiodothyronine (T3) and Tetraiiodothryronine (T4) levels were statically significantly lower among participants with malignant breast lesions as compared to benign breast lesions.(p< 0.01).However mean values of both were normal in both these groups.Thyroid stimulating hormone (TSH) levels among study participants with malignant breast lesions were statistically higher than those of benign breast lesions.However mean in both these groups was within normal range. Conclusion:No significant correlation between thyroid profile and breast lesions was established.But the effect of thyroid hormone on breast cancer clearly requires further research.
Non-interferometric phase retrieval for phase image (Conference Presentation)

In this paper, we propose a frequency expanded method based on non-interferometric phase retrieval which can retrieve complex multi-level phase image by using only 1 times Nyquist frequency. Our proposed method utilizes the property of frequency spectrum periodicity and is the unique method with non-interferometry due to the intensity detection directly on the Fourier domain. For a regular phase image, same spacial frequency means same spectrum width. We choose a rectangular window with the same spacial frequency to the phase image and consider normalized Fourier intensity distribution of the rectangular window as the envelope of that of the phase image. After normalizing the spectrum of the phase image, we can expand its Fourier frequency with 1 times Nyquist size to other higher order frequency positions. Therefore, we can generate high-order frequencies artificially from low-order frequency which help us to retrieve phase image accurately and quickly.
Formation of Innovative Potential of Students

This article deals with the problem of formation of innovative potential of a student's personality.Modern conditions of economic development require a new approach to the formation of employee competencies.Innovation has become not only the main criterion for increasing competitiveness, but also a necessary element for the survival of both the organization and the employee in the labor market.To meet these requirements, an employee must have a certain level of innovative potential.The formation of innovative potential of a student's personality as a future employee is the most important task of educational institutions.The study identified key personal qualities that form the innovative potential of a student's personality.The authors have developed a matrix of "creativityproductivity-trainability", which determines the possibility of realizing innovative potential in the practical conditions of the market environment
Multichain-MWPoW: A $p/2$ Adversary Power Resistant Blockchain Sharding Approach to a Decentralised Autonomous Organisation Architecture

Blockchain Sharding is a blockchain performance enhancement approach. By splitting a blockchain into several parallel-run committees (shards), it helps increase transaction throughput, reduce resources required, and increase reward expectation for participants. Recently, several flexible sharding methods that can tolerate up to $n/2$ Byzantine nodes ($n/2$ security level) have been proposed. However, these methods suffer from two main drawbacks. First, in a non-sharding blockchain, nodes can have different weight (power or stake) to create a consensus. So an adversary needs to control half of the overall weight of the system in order for a piece of faulty information to be accepted into the blockchain ($p/2$ security level). In blockchain sharding, all nodes carry the same weight. Thus, it is only under the assumption that the honest participants are creating as many nodes as they can that a $n/2$ security level blockchain sharding reaches the $p/2$ security level. Secondly, when some nodes leave the system, other nodes need to be reassigned, frequently, from shard to shard in order to maintain the security level of the system. In this paper, we present Multichain MWPoW, a $p/2$ security level blockchain sharding architecture that does not require honest participants to create multiple nodes and requires less node reassignment when some nodes leave the system. It combines the Multiple Winners Proof of Work consensus protocol (MWPoW) with the flexibility of $n/2$ blockchain sharding. Our experiments show that Multichain MWPoW outperforms existing blockchain sharding approaches in terms of security, transaction throughput and flexibility.
Developing Students’ Writing Skill By Using Picture Media

Writing is one of the basic skills in learning English. For some students learning writing is still difficult, especially how to develop ideas into interesting writing. A teacher must be able to apply learning methods that are fun and actively involve students in the learning process, also use appropriate learning media that it can attract students’ interest to make learning writing easier. This research is aimed to understand how to develop students’ writing skill by using picture as an alternative media. The method of the research is a classroom action research. It used three cycles and each cycle consisted of four steps; planning, acting, observation and reflecting. It was conducted at the Teacher College with the total population 50 students. Data needed was obtained from observation, interview and test. The result of the test has shown that there is positive feedback given from students through the use of picture media in writing teaching. It can be proven by the result of the test in each cycle which shown. The first cycle, the students got the average score 71,3 (43%). In the second cycle, they got the average score 74,6 (71,4%). While in the third cycle, they got 76,8 (90,5%). Base on the fact above the researcher concluded that picture media is effective to develop students’ writing skill.
Aplikasi Peta Wisata Berbasis Android Kabupaten Pesawaran

Tourism is a valuable aspect for a region, with the existence of tourist areas it can advance the welfare of the surrounding community. Pesawaran Regency has a very large tourism area, if the existing facilities and infrastructure are further developed, it is ensured that the increase in tourism in Pesawaran Regency will increase. The use of Information Technology can advance tourism areas, so that tourism areas can be known by tourists who want to visit Pesawran District. Tourist maps are built using the Android platform, and the method used is a data collection method that includes observation, interview, and literature studies. While the system development method used is the SDLC method (software development lifecycle), which is the waterfall method. The stages of development begin with needs analysis, system design, coding, testing of Program Implementation and maintenance. The tourist map application was developed with the concept of integrating tourist information with a mobile web base by using GPS and Map to find out the distance traveled and travel time.
PENGEMBANGAN MEDIA PAPAN INTERAKSI MANUSIA PADA PEMBELAJARAN TEMATIK DI SEKOLAH DASAR

This research aims to develop a â€œhuman interaction boardâ€ teaching media for thematic teaching in the fifth grade of State Elementary School 3 Madusari, Prambanan, Sleman. This is a research and development study which uses Borg and Gallâ€™s development procedures. A development which uses these procedures involves 9 stages, namely research and data collection, planning, initial product development, initial field try out, product revision, operational field try out, and final product revision. The population of this research are all fifth grade students of State Elementary School 3 Madusari, Prambanan, Sleman, there were 22 students. The research samples include all the population. The data collection was conducted by means of questionnaires, observations, and interviews with the class teacher and five students to determine the situation during the teaching process. The data analysis used a descriptive quantitative technique. The research results show that the human interaction board teaching media developed based on Borg and Gallâ€™s development procedures was feasible to be used. This is based on the score percentage achieved from the validator and the students. Material validation results percentage from the lecturer showed a score of 80% with a criterion of feasible to be used. Material validation result percentage from the class teacher showed a score of 83.33% with a criterion of feasible to be used. Media validation results percentage from the lecturer showed a score of 77.33% with a criterion of feasible to be used. Media validation result percentage from the class teacher showed a score of 82.66% with a criterion of feasible to be used. Students scoring percentage achieved during a limited test showed 93% with a criterion of feasible to be used. During a field try out showed 94% with a criterion of feasible to be used. Operational field try out showed 94% with a criterion of feasible to be used.
Detection and Analysis of T/D Deletion in Librispeech

In this study we developed a new method for automatic identification of t/d deletion. Our method achieved 94% accuracy on TIMIT and 87% on human-annotated data from Librispeech. We then conducted an analysis of t/d deletion on more than 500k tokens in Librispeech. The following results were found: (1) /d/ is more likely to be deleted than /t/; (2) t/d is more likely to be deleted when preceded by a nasal or a coronal obstruent; (3) In terms of the following phone, the rate of t/d deletion from low to high was: vowels and pause <; glides and liquids <; other phones; (4) In terms of the morphological class, the rate of t/d deletion from high to low was: stem > semi-weak past tense > regular past tense; (5) t/d is less likely to be deleted when the phonological neighborhood density (PND) is higher.
Designing Virtual Learning Media for a Vocational School

Developments in the areas of science and information technology affect the industrial and educational realms in Indonesia.Technological advances require teachers as educators to create innovative virtual learning media that can support students' understanding either theoretically or practically.Considering the results of this observational study, it is confirmed that virtual learning has not been implemented widely in the Vocational School.Virtual learning media are an aid used to explain curriculum content that enables students to better understand the material either theoretically or practically.Virtual learning media have been incorporated into courses in personnel administration.This study explores whether virtual learning media improves students' learning interest, motivation, and outcome.
Apps for a crisis

The new coronavirus has many of us stuck at home. The result could fundamentally reshape how we use the internet, writes Annalee Newitz
A light method for data generation: a combination of Markov Chains and Word Embeddings

Most of the current state-of-the-art Natural Language Processing (NLP) techniques are highly data-dependent. A significant amount of data is required for their training, and in some scenarios data is scarce. We present a hybrid method to generate new sentences for augmenting the training data. Our approach takes advantage of the combination of Markov Chains and word embeddings to produce high-quality data similar to an initial dataset. In contrast to other neural-based generative methods, it does not need a high amount of training data. Results showhow our approach can generate useful data for NLP tools. In particular, we validate our approach by building Transformer-based Language Models using data from three different domains in the context of enriching general purpose chatbots.
The Moral Law and The Good in Temporal Modal Logic with Propositional Quantifiers

The Moral Law is fulfilled (in a possible world w at a time t) iff (if and only if) everything that ought to be the case is the case (in w at t), and The Good (or The Highest Possible Good) is realised in a possible world w' at a time t' iff w' is deontically accessible from w at t. In this paper, I will introduce a set of temporal alethic deontic systems with propositional quantifiers that can be used to prove some interesting theorems about The Moral Law and The Good. First, I will describe a set of systems without any propositional quantifiers. Then, I will show how these systems can be extended by a couple of propositional quantifiers. I will use a kind of TxW semantics to describe the systems semantically and semantic tableaux to describe them syntactically. Every system will include a constant · that stands for The Good. ‘·’ is read as ‘The Good is realised’. All systems that contain the propositional quantifiers will also include a constant '*' that stands for The Moral Law. '*' is read as ‘The Moral Law is fulfilled’. I will prove that all systems (without the propositional quantifiers) are sound and complete with respect to their semantics and that all systems (including the extended systems) are sound with respect to their semantics. It is left as an open question whether or not the extended systems are complete.&#x0D;
Project-Based Learning at Nizhny Tagil Technological Institute of Ural Federal University

This study describes the processes of projecting and implementation of project-based learning at Nizhniy Tagil Technological Institute of UrFU. We observe the adopted conception supposing cooperation of teachers, external and internal consultants and experts, customers and students; such cooperation is aimed at creating a unique product, service or technological advance and results (besides the product, service or technological advance) in planned and extra educational outcome. The principal goal of adoption of project-based learning at the institute is to adjust the academic departments of the institute according to the business-based model. The main idea is that “A specialists grows in a professional environment”. Such an environment should be created through organization of project activities at the institute with professionals participating as experts, consultants or customers. Representatives of the professional community will benefit due to the opportunity to “see their future workers at work”, test their adventurous ideas and implement projects with limited budget. By stimulating business activities, the institute becomes a center of much-in-demand competences, forms technological advances and favors emergence of research teams. The study presents methodical and organizational practices and the achieved results.&#x0D; Keywords: education, project-based learning, training, competence, implementation, learning-by-doing, skills, practice
Teacher’s Behaviors: Verbal and Non-Verbal Behavior During the English Classroom Interaction

An effective teacher has to be able to create a good communication between the teacher and the students. It can be seen from teachers behaviour include verbal and non verbal behaviours. In teaching context, teachers convey interaction in the classroom to contribute to interpersonal attraction through teachers’ verbal and nonverbal behaviours. This research study explored the teachers’ behavior in English classroom interaction. This research design is a qualitative research. Participants were two teachers at English School Indonesia, who taught in two intermediate levels. One teacher was represented for each classroom. The instruments used to collect the data was observation and interview. During the observation, each teacher was observed using video recording. And then the teachers were interviewed to strengthen the result of observation. The research found that both teachers who teach intermediate levels had effective behaviors during the English classroom interaction. The students were motivated to learn English
Students’ View of the Management Information and Document Study Program of the Class of 2015 University of Indonesia Vocational Education Program to Librarian Profession in a Digital Age

Vocational education in librarianship faces digital era challenges.There are some barriers that librarians will need to overcome to compete amidst these challenges.On this note, this research seeks to evaluate students' responses to the Management Information and Document (MID) Program of the Class of 2015 University of Indonesia vocational student's response to the future of librarianship in the digital era.The research used the online survey method of the students of the MID Class of 2015.The results showed that students should be prepared for more education after the vocational training to competitively meet the needs of the digital library user.
Assessing Teachers’ Beliefs and Awareness of Integrating Grammar and Teaching About the Reading

Teachers’ beliefs in any field are thought to have a profound influence on their practical decision making. This study examines teachers’ beliefs and awareness of integrating grammar and reading in the language teaching. Ten EFL teachers were observed for 1260 minutes and similar participants engaged on an FGD to express their beliefs. The study also employed the third data gathering tools, the document review. The result of this study reveals that teachers hold a positive beliefs about grammar and teaching about the reading in one way. Their awareness and techniques of making a link between grammar and reading is too low in the other way. However, this came to show change and steadily growing after the intervention and training on integration of the skills. It is evident that the lack of awareness to integrate the grammar and reading and poor techniques highly affect teachers’ beliefs of grammar and teaching about the reading. The major finding reveals that improving teachers’ awareness to integrate grammar with reading at sentence, or paragraph or essay/text levels can enhance the teachers’ productivity. Based on the finding this paper suggests that attempts should be made to teach integratively either by using the existing text or by adapting the materials. Furthermore, teachers would be encouraged to foster the techniques to integrate grammar with reading. The curriculum designers should play their role since most of the existing reading texts failed to inspire the teachers to integrate the reading and grammar in the language class. Findings of the study may have important implications for EFL teachers and practitioners. Keywords: Teachers’ beliefs and awareness, teaching grammar and reading, integration DOI : 10.7176/JEP/10-25-04 Publication date :September 30 th 2019
Identifiers and Usernames

An identifier is the way an identity management system or other entity refers to a digital identity. The identifier used by the system, however, likely differs from the identifier used directly by the user and will definitely differ from identifiers in another domain. This article reviews the concept of identifiers as they relate primarily to people, both from a user’s perspective and a system’s perspective, and their impact on the systems that use them.