Reviewerly/exHarmony huggingface dataset:
Diagnosa Penyakit Fibroadenoma Mammae Menggunakan Metode Certainty Factor Dengan Penelusuran Forward Chaining

Mammae Fibroadenoma Disease (FAM) is a benign neoplasm that has dense and capsule features. Is the most common type of breast disease. Usually attacks women under 25 years. In this study detection of Fibroadenoma Mammae (FAM) was carried out using the Forward Chaining method. Aims to detect early FAM disease. To prove a certain or uncertain event. The CF hypothesis is influenced by evidence. CF part of the Expert System is suitable for diagnosing something that is uncertain. The CF method can only process 2 weights in one calculation. There are no rules for combining weights, because for any combination the results will remain the same. In the expert system application design method Forward Chaining, CF (H, E) the value of certainty given by experts to a rule, while CF (E, e) is the value of trust given by the user to the symptoms experienced.
One-Shot Learning Via Meta-Learning Using Multi-View Image

Object detection and recognition are essential for robot manipulation. This paper presents one-shot image identification via meta-learning from multi-view images. In contrast to general image recognition tasks, a robot deployed in the real world has access to limited data of unseen objects. Another difficulty of object recognition in robot manipulation is variation of appearance due to a move of a camera. We propose to leverage meta-learning method to initialize fast-adaptable parameters to a single image of a new object. We train a network using multi-view images in pre-training to learn initial parameters that is fast-adaptable to multi-view images of a new object. Simulation is conducted to compare accuracy of the proposed method with variants of it.
Design of Multipurpose Smart Wireless Controlled Wheelchair

In the whole world,some people are born with certain disabilities and some are disabled due to sudden accidents, etc. In order to overcome the problems of disabled persons, the design of multipurpose  smart wireless controlled wheelchair system is presented in this paper. This system consists of brain computer interface (BCI) which uses brain signals for controlling the movementof wheelchair. It helps the disabled personsnot only for moving one place to anotherbut also communicate with other persons without any external assistance.
Group Identification via Non-threshold Leakage-Resilient Secret Sharing Scheme

In this work, we construct a non-threshold secret sharing scheme that realizes a non-threshold access structure by using linear codes, in which any element of the non-threshold access structure can reconstruct the secret key. We prove that our scheme is a multiprover zero-knowledge proof system in the random oracle model, which shows that a passive adversary gains no information about the secret key. Our scheme is also a leakage-resilient secret sharing scheme (LRSS) in the bounded-leakage model, and it is $$(\varepsilon ,l)$$-secure as long as the overall amount of information about the secret key learned by a malicious adversary is bounded by l bits. As an application, we propose a new group identification protocol (GID-scheme) from our LRSS, and we prove that it is a leakage-resilient GID-scheme. In our leakage-resilient GID-scheme, the verifier believes the validity of qualified group members and tolerates l bits of adversarial leakage in the distribution protocol, whereas for unqualified group members, the verifier cannot believe their valid identifications in the proof protocol.
EMPLOYING GENRE BASED APPROACH WITH AUDIO DIALOGUE TO ENHANCE STUDENTS’ SPEAKING PERFORMANCE (AN EXPERIMENTAL RESEARCH AT SMPN 2 MUARA TIGA)

Abstract Name: Rahmi Student No: 1509200080029 Study Program: Master Degree in English Education Department: English Education Title: Employing Genre based Approach with audio dialogue to enhance students’ speaking performance Keywords: Speaking Performance, Genre Based Approach, Audio Dialogue The present study was aimed at investigating whether the implementation of Genre-Based Approach with audio dialogue can significantly enhance students’ speaking performance of SMPN 2 Muara Tiga and finding out the students’ responses toward its implementation in the classroom. To achieve the purposes, the present study employed a quasi-experimental research design. The population of the study is 100 students. By employing random sampling technique, 40 students were selected to be the sample of the study, comprising 20 students in class VIII-1 as an experimental class, and 20 students in class VIII-3 as a control class. To collect the data, the instruments employed were a series of tests, namely, pre-test and post-test, and also questionnaire. The data obtained from pre-test and post-test were analyzed by employing SPSS 23 to find out t-test value of two classes, namely, experimental and control class. In addition, the data obtained from the questionnaire’s result were also analyzed by employing SPSS 23 to examine the students’ responses of experimental class toward the implementation of the approach. The result of t-test showed that ttest (4.269) is higher than ttable (2.086). Employing independent samples t test, the sig. 2-tailed value (0,003) < (0.05). Additionally, the students gave very positive responses (90%) toward the implementation of the approach. In conclusion, the approach is effective in enhancing students’ speaking performance in terms of accuracy, comprehensibility, and fluency and motivation. It is recommended that future related research conduct a study with integrated skills.
Multi-granularity convolutional network for crowd counting

Estimating the number of people in images is an important task in computer vision, and has a wide range of applications, such as video surveillance, traffic monitoring, public safety and urban planning. The task of crowd counting faces many challenges, e.g. extremely scale variations in extremely dense crowd scenarios, severe occlusion, and perspective distortion. We have studied a new type of multi-granularity full convolutional network as an effective solution for crowd counting. We not only designed the parallel multi-receptive field module to learn the mapping from the crowd images to the density maps, but also introduced the skip-connection mechanism to better train the mapping to improve the quality of the estimated density map, which is critical for accurate crowd counting. The experimental results upon ShanghaiTech public dataset showed that the proposed method can obtain more accurate and more robust results on crowd counting than the most advanced method.
BOOK REVIEW: Doing Replication Research in Applied Linguistics

Potential error in human knowledge is the main driving force behind replication research, a relevant corollary of critical approach to scientific knowledge. Accordingly, we come back to a study to verify it and reduce possible chance factors. Replication research starts right after the publication of one particular previous research study that attracted you, rather than a set of studies. Replicating a study sets us on a journey back to the history of our interest area, due probably to a failure in the previous study.
Latent class cluster analysis

This paper describes the technique of exploratory latent class cluster analysis. The classical analysis is a model-based statistical approach for identifying unobserved subgroups from observed categorical data and for classifying cases into the identified subgroups based on membership probabilities estimated directly from the statistical model.&#x0D; In the first part on mathematical modeling of the paper, we introduce the data and the sampling distribution for the data as required in the analysis of latent classes, the fundamental model assumptions are reviewed, and the general unrestricted latent class model is presented. Classification of cases into the clusters using modal assignment is discussed. In the second part on inferential statistics of the paper, we briefly review the classical maximum likelihood methodology related to parameter estimation and model testing, and the information criteria AIC and SIC for model selection. In the third part on case study of the paper, the General Social Survey data are analyzed using the software Latent GOLD®. We present the Latent GOLD® profile plot and tri plot options for the graphical representation of the results. The Latent GOLD® classification output illustrating the assignment of respondents to the latent survey respondent types is also shown.
A New Hybrid Method for Web Pages Ranking in Search Engines

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality of a web page. It also examines the relevance of search results with the user's query. In this paper, we try to optimize the search engine results ranking by using the hybrid of the structure-based algorithms (Distance Rank algorithm) and user feedback-based algorithms (Time Rank algorithm). The proposed method acts on multiple parameters and with more parameters it tries to get better results while keeping the complexity and running time of the algorithms. Average distance and average attention time have been evaluated on web pages and by using the obtained data, proposed method performance has been evaluated. We compare proposed method with several famous algorithms such as Time Rank, Page Rank, R Rank, WPR and sNorm(p) in this field by applying Precision@N (P@N), Average Precision (AP), Mean Reciprocal Rank (MRR), Mean Average Precision (MAP), Discounted Cumulative Gain (DCG) and Normalized Discounted Cumulative Gain (NDCG) criteria. The results indicate better performance in comparison with existing algorithms.
Enhancing Abstraction in App Inventor with Generic Event Handlers

Work on code smells (undesirable programming patterns) in blocks languages has found that programmers often duplicate blocks code rather than abstracting over common patterns of computation using procedure-like features. For example, previous analyses of over a million MIT App Inventor projects have revealed that procedures are used surprisingly rarely in the wild and that many users miss opportunities for using procedural abstraction to avoid code duplication in their projects.In this work, we use data analysis to explain how particular features of App Inventor create barriers to abstracting over event handlers. In many cases, duplicated code in event handlers cannot be extracted into a procedure without using so-called generic blocks that abstract over a particular component (e.g., a label). Generic blocks are rarely used in practice, possibly because programmers do not know about them or find them difficult to use. But even proceduralization with generic blocks does not remove the need for duplicating the event handlers themselves.We address these issues with two enhancements to App Inventor. First, we add generic event handlers, a new form of abstraction that allows specifying a single handler for all components of a particular type. Second, we add a way to easily convert between specific and generic blocks to facilitate genericization, that is, abstracting actions over a particular component to apply to a group of components of that type.We also discuss related design choices and ways to encourage programmers to use the new features to avoid code duplication. Our work is an example of data-informed programming language design, in which the creation or modification of features is informed by the analysis of large datasets of programs from the language’s target audience.
Unsupervised Attention Embedding for Document Clustering

Deep clustering algorithms perform learning feature representations and clustering tasks jointly by using neural networks with significantly improved performance over the traditional k-means or spectral clustering. Some groundbreaking proposals extract data spaces directly in â€œbags of wordsâ€ approach without considering the semantic information of each document as inputs to deep auto-encoder networks. But these algorithms suffer from inaccurate feature space from the encoder output when dealing with incomprehensible and high-dimensional data. For solving this problem in this paper, an Attention-based Deep Embedded Clustering (ADEC) algorithm is proposed to improve representation of data space. ADEC extracts high quality embedded features and performs clustering jointly with learning embedded features which are suitable for document clustering. The experimental result shows that the performance and accuracy of document clustering is improved significantly using the ADEC clustering framework on two datasets REUTERS-10K and REUTERS.
POLITENESS STRATEGY USED BY LECTURER IN TEACHING PROCESS

This research aims to find out the politeness strategy that used by lecturer in teaching process in English Class. This research used descriptive qualitative method. The population of this research is the lecturers of English Language Education Study Program. In determining the samples, the researcher used random sampling technique. Total number of sample is 3 lecturers and used observation to collect the data. The result of this study shows: (1) There are four kind of politeness strategies that commonly used by lecturers in teaching process. Such as bald on record, positive politeness, negative politeness and off record (2) The politeness strategy that commonly used by lecturers is positive politeness.
Development of an activation device for supplying air to the power assist suit

In this study, in order to improve an easiness of use for the power assist suit used in nursing care, a hands-free activation device for supplying air to the power assist suit which was developed in our previous study was proposed. After detecting that the caregiver stooped down by using the sensor, compressed air is supplied to the artificial muscles by performing another action. As another action, 3 methods were proposed, which are (1)Use of time lag, (2)Use of bone conduction microphone, and (3)Use of proximity sensor. Mental workload of each activation method was evaluated using CSTLX method, and accuracy of the detection of air supply timing in each activation method was investigated. In addition, effectiveness of the power assist suit was verified through evaluation experiments of lifting and taking down the heavy object.
Reciprocal On-Site Access: Sharing Information by Sharing Library Spaces

On-site reciprocal access to libraries is a valuable benefit of consortial membership. This article details its advantages, offers a sample of some ways in which consortia facilitate such access and reviews the work of the authors, within the SHARES consortium, in this area. Relevant challenges to creating policies, as well as suggestions about how to determine best practices, will also be offered for librarians and their partners to consider and build upon.
Smart Control Helicopter Competition as a STEM outreach program for schools in Malaysia

Objective of this paper is to report the outreach of Science Technology Engineering and Mathematics (STEM) program in Malaysia conducted by UKM. The program involved school students in Selangor where they learned to use a program code called Arduino to control mini helicopters. Students were exposed on how to assemble simple circuit for control system and how the circuit was connected to a micro controller, which communicate with the computer. This equipped the students with basic knowledge in making the right program to move the helicopter. All learning activities were greatly assisted by university students through a teaching module. Moreover, the program was conducted in the form of competition and this helped to bring out the competitiveness within the students. As a result, students were able to garner new knowledge within a short span of time.
Sensitivity Assessment for Projector Camera Geometry Reconstruction Systems

The principal point is an important parameter in the characterisa-tion of optical systems. We wish to better understand the opticalsystem parameters and their sensitivity to a good or poor estima-tion of principal point, to which the focal length, in particular, can behighly sensitive, which this work seeks to understand.
Proposal of Peristaltic Motion Type Duct Cleaning Robot with High Contraction Unit

Ventilation ducts has become important in urban high airtight houses. However, due to the long-term use of ducts, dust accumulates inside. Therefore, cleaning inside the duct is required. In the conventional cleaning method, there is a method of pushing the cleaning tool inside the duct. In this method, the deep portion of the duct cannot be cleaned by the friction between the cleaning tool and the inner wall of the duct. Also, cleaning time is limited. Therefore, the authors propose a peristaltic motion type robot for duct cleaning using a high contraction unit as a method of cleaning up to the deepest part of a duct in a limited time.
ЖАНР «КИБЕРПАНК» КАК ОСМЫСЛЕНИЕ ФЕНОМЕНА ИНФОРМАЦИОННОГО ОБЩЕСТВА

The article analyzes the cyberpunk genre as an understanding of the phenomenon of the information society. The emergence of cyberpunk associated with the proliferation of personal computers, thanks to which many scientific ideas materialized in the 1950s and 1960s. The most famous representatives of this direction can be called Walter Yon Williams, Allen Steele, Rudy Rücker, Pat Cadigan. In the CIS, the first cyberpunk literary work was the story “The Network”, written jointly by A. Tyurin and A. Shchegolev. Elements of cyberpunk are found in the works of S. Lukyanenko, V. Panov, A. Zorich, D. Simmons.If the cyberpunk was originally part of the underground and infatuation of the information elite, then gradually, as major publishers became interested in it, it became part of popular culture and dissolved in it. Both theorists of the information society and representatives of the cyberpunk genre tried to analyze the world in which life would change radically under the influence of computer technology. The cyberpunk ideologists used their books as a metaphorical warning against the alarming trends in the development of modern society. The creators of the theory of the information society mainly focused on its positive aspects, while cyberpunks talked about the negative that can come into the life of society and an individual person if it becomes a reality. Cyberpunk focused on the dark side of high technology, without which the existence of any phenomenon is impossible. Neither the philosophical constructions of the theorists-apologists of the information age, nor the gloomy prophecies of the representatives of the Movement were fully embodied in reality. The reason for this can be seen in the fact that the understanding of the information that the first and the second operated on turned out to be false (more realistic, obviously, is the consideration of information not as a resource, but as communication). The information, according to D. Ivanov, is communication, the operation of transmitting characters, encouraging action. Its huge technical, economic, political role is explained precisely by the fact that it is not meaningful (as opposed to knowledge) and not substantive (as opposed to a product). Information is operational, it serves to justify action. That is why it is so valuable to modern man, being his idol. In a traditional society, or in a modernizing society, built on an ideological basis of activity, information on such a role could not claim.
STUDENTS’ ABILITY IN READING COMPREHENSION

This research was aimed to find out the students’ ability in reading comprehension for second year of SMK YPM Zain Pauh Kambar Padang Pariaman in 2013/2014 academic year. This research was quantitative approach. The sample of this research was 62 students who were taken by using random sampling technique. The data was collected by reading comprehension test. The research findings show that students’ reading comprehension still in low category. It was supported from the data that only 16.13% who got high score and 29.03% who got low score.
Interoperabilidade entre repositórios arquivísticos digitais confiáveis

This study describes and evaluates the possibility of two or more archival repositories maintaining levels of interoperability, so that independent, cooperative, federated, and shared functional entities archives are addressed. In order to do so, it is based on the bibliographical survey of previously published materials, through the selection of books, technical publications and scientific articles. Interoperability is the prism of the discussion, and reliable digital archival repositories correspond to the guiding category. Thus, the data are analyzed qualitatively and discussed according to the deductive logic in order to be characterized as an article of no systematic review. It is observed that the interoperability between archival repositories brings benefits to the digital preservation communities that entail the saving of resources, the optimization of information search and the development of standards. Finally, this study clarifies concepts and possible interoperability scenarios for archival repositories, as well as providing a post-custodial view that highlights the importance of custody in view of succession perspectives.
The Effect of Financial Crises on Growth and FDI in some African Countries: A Panel VECM Approach

This study investigates the effects of financial crises on economic growth and foreign direct investment in some African countries. A panel vector error correction model is used for the analysis of annual time series data for the period 1994 to 2014. From economic growth model, in the long run, it is observed that gross domestic product per capita is positively influenced by investment, trade and foreign direct investment; with investment and trade being statistically significant. Gross domestic product per capita has a negative significant relationship with real effective exchange rate. On the other hand, in the long run, the investment model shows that investment has a significant positive relationship with both gross domestic product per capita and investment; while it has a negative significant relationship with real effective exchange rate and trade. Also observed from the results is that financial crisis has a negative relationship with both economic growth and foreign direct investment. This study recommends more openness of the economy so as to promote both economic growth and inflow of foreign direct investment in countries. It also recommends the need to encourage more gross fixed capital formation in order to promote both economic growth and foreign direct investment.
Study on a Possible Range of Tilt Angles of Human Head and Its Application for the Pointing Device

We develop an assistive, head-mounted pointing device which helps surgeons in the endoscopic surgery to instruct their tasks smoothly. However, the device has a difficulty in intuitive control because users have to tilt their heads when moving a cursor. We tackle this problem by clarifying the possible range of head tilt. After that, we conduct the evaluation experiments to confirm that the performance is improved.
Unidimensional continuous-variable quantum key distribution with imperfect detector

We report a method to improve the performance of unidimensional continuous-variable quantum key distribution with imperfect detector by adding a parameter-adjustable optical amplifier, where the optimal performance can approach the scenario with a perfect detector.