Reviewerly/exHarmony huggingface dataset:
An Efficient Image Processing Technique to Count Red Blood Cells

Shortage of red blood cells (RBC), that constitutes 99 percent of blood cells and specialized as oxygen carrier, causes various blood disorders.The RBC is the important parameter while diagnosis and pathological study.Here, we create a system to detect to count the number of RBC in the blood smear image.The process is initiated by image acquisition and image enhancement where noise is removed from the images and the edges are preserved to converting to binary images thus separating the region of interest from the background.Further, by segmentation process we differentiate RBC from the various other components in the blood.Morphological operations are applied on the blood image followed by RBC counting using Hough transform which is an efficient image segmentation technique.The primary goal of the proposed system is to detect and count all the RBC including the overlapping one in the blood smear image.
Stable and robust control strategy using interval-valued fuzzy systems

&lt;div data-canvas-width="397.26083450917173"&gt;In this paper we propose an adaptive interval valued fuzzy controller for high performance direct vector-controlled induction motor drive. Interval valued controller compared with type-1 fuzzy controller has the advantage that it&lt;/div&gt;&lt;div data-canvas-width="139.47254585768997"&gt;can take into account the linguistic uncertainties present in the rules of the estimated models. The proposed control framework consists of a mixture of two controllers: an interval valued fuzzy controller and a supervisory controller. The supervisory controller is used when the system starts to become unstable. The free parameters for the proposed controller are changed according to some learning rules based on Lyapunov stability. Simulation results on an induction motor show the effectiveness of the introduced method.&lt;/div&gt;
TOWARDS CENTRAL REPOSITORY DESIGN FOR DOMAIN INTERLOCKING INSTITUTIONAL WORLDS

Interlocking Institutional Worlds (IWs) is a concept explaining the needs to interoperate between institutions to solve common interest in a given domain.Managing knowledge in IWs domain is complex, but promoting knowledge sharing based on standards and common terms agreeable to all is essential and must be established.To support this purpose, establishing a Central Repository (CR) is crucial.Unfortunately, there is a clear gap in designing CR for supporting IWsdomain.The current CR available lacks the capability to support interoperating at domain level.Therefore, this paper attempts to present the gaps that must be addressed to answer why a new CR design is needed to support IWs domain.
Application of the universal meta-formalism to substantiate and research intelligence properties

A formal scientific definition of Intelligence is a topical problem not only of the synthesis of AI but of the world science as a whole as a product of exclusively intellectual activity.It is due to the fundamental shortcomings of the modern general scientific paradigm that is limited to particular dogmatic concepts.This problem is solved by the transition to the universal general scientific paradigm by increasing the level of knowledge abstraction.Achieving a uniform initial Universal Axiom, in principle, allows you to deduce a complete system of Universe's concepts and get a Universal Definition and Formalism of Intelligence from it, which are supposedly applicable to all Universe's phenomena.The paper presents the main provisions of the new approach and deduces the initial components of the Universal Formalism of Intelligence, which follows directly from the Universal Axiom and is represented by exclusively the highest Universe's meta-concepts that can solve the said problem.Such Formalism for the first time qualitatively allows us to formally derive and objectively evaluate any of the innumerable properties of Intelligence, the initial of which are given in this paper.The obtained results are pioneering in this area and have important general scientific significance and the initial application in many technical and humanitarian research and development.
A Method Non-Deterministic and Computationally Viable for Detecting Outliers in Large Datasets

This work has been supported by grant TIN2016-78103-C2-2-R, and University of Alicante projects GRE14-02 and Smart University.
Pengaruh Partisipasi Eksekutif Dan Kompleksitas Sistem Terhadap Sistem Informasi Pada Perusahaan Konstruksi Di Kota Mataram

The title of this research is “The Excecutives Participation and System Complexity Concerning The Development of Information System at the construction Company in Mataram City” which is intended for knowing the simultaneously and partially influence between excecutive’s participation and system complexity concerning the development of information system. &#x0D; The sample determined which is used in this research is the stratified random sampling method with 56 people samples. The hypothetic test which used is the double linier regression. The F test is used for knowingthe influence of independent variable concerning the dependent variable concerning the dependent variable partially. &#x0D; Based on the analysis which have done before, known that the excecutive’s participation and system complexity variable is influenced simultaneously concerning the development of information system. The result of second hypothetic analysis showed that the eexecutive’s participation had influenced partially concerning the development of information system, while system complexity had it.&#x0D; Based on the research result that have gotten, the next researcheris hoped to develop more sample or to add the other variable which is predicted that it has influence ininformation system development, like the communication of user developerand user affect and take a sample industry building on process (continues product).
Artificial Bee Colony Based on Adaptive Selection Probability

Because of the powerful searching ability of artificial bee colony algorithm, it has applications in various fields. However, it still has a drawback on local search ability. Therefore, an adaptive selection probability ABC algorithm (called PABC) is proposed to improve its local search ability. In the multi-strategy search solutions, a probability is assigned to each strategy and the probability is adaptive adjusted to control the choice of strategy. Meanwhile, a modified mean center is introduced to replace the global best solution to guide search. The proposed PABC is proved to have better optimization ability than some other improved ABCs by testing classical 12 functions.
Australasian Parliamentary Debate Strategy to Foster Students’ Speaking Competence

&lt;p class="AbstractText"&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; Teaching English needs an appropriate strategy to effectively enhance the students' communicative competence, especially speaking competence. When the teaching process does not use the appropriate strategy, the students will meet the barriers to achieving the instructional goals. Based on the preliminary study conducted to the second grade of Islamic Senior High School of Blitar, the researcher found some students' speaking problems. Therefore, the Australasian Parliamentary Debate was proposed as a strategy to overcome those problems by conducting Classroom Action Research. After implementing the strategy of Australasian Parliamentary Debate in multimodal teaching-learning process, the study needed two cycles to overcome the students' speaking problems and improve the students' speaking skill.&lt;/p&gt;&lt;strong&gt;Abstrak: &lt;/strong&gt;Mengajar bahasa Inggris membutuhkan strategi yang tepat agar mampu meningkatkan kemampuan siswa dalam kompetensi komunikatifnya, khususnya kompetensi berbicara. Apabila pembelajaran tidak menggunakan strategi yang tepat, maka siswa akan mengalamai kesulitan untuk mencapai tujuan pembelajaran yang diharapkan. Sesuai dengan hasil observasi yang dilakukan di kelas dua MAN Kota Blitar, peneliti menemukan beberapa permasalahan siswa dalam berbicara. Oleh karena itu, peneliti mencoba menerapkan strategi Debat Parlementer Australia untuk mengatasi permasalahan yang dihadapi siswa dalam belajar berbicara. Setelah penerapan strategi tersebut, dengan menekankan pada proses pembelajaran berbasis multimodal, peneliti membutuhkan dua siklus untuk dapat mengatasi permasalahan yang dihadapi siswa dan meningkatkan kemauan berbicara mereka.
Flashcard Media as The Vocabulary Introduction on Indonesian as Second Language Learner Level I in Sebelas Maret University

Vocabulary is an important part in learning languages.The main capital for language learners, especially foreign languages is vocabulary mastery.One of several factors that are considered important in supporting the success of a learning is the media used in learning.This study has a purpose to explain flashcard's effectivity as an Indonesian language introduction for Indonesian as a Second language Learners (BIPA).This research uses a descriptive qualitative method using case studies.Data obtained through interviews with BIPA teachers and learners at UPT Bahasa Sebelas Maret University.Data analysis uses interactive techniques by discovering new knowledge from a collection of interviews, observations, and documents study.Data triangulation is done for validity testing.This study's results indicate that flashcards are an inviting and effective media for vocabulary introduction.This proven because the flashcard media is able to provide visualizations and illustrations related to the words.In addition, the flashcard is also able to practice a number of skills such as writing, listening and reading.The application of flashcard media becomes an advantages in language learning in the UNS UPT Bahasa BIPA program, especially in vocabulary introduction.
A New Cluster Validity Index for Stock Clustering Based on Efficient Frontier

Clustering is an unsupervised learning method to discover meaningful information by grouping similar objects together. It is a great challenge to valuate the results of stock clustering. In this paper, we propose a specific index IBEF(Index Based on Efficient Frontier) to evaluate the results of stock clustering based on the concept of efficient frontier. IBEF is defined by the difference between two efficient frontier curves. One curve is built by all stocks and the other curve is built by center stock of each cluster. If the clustering result is good, the two curves are close to each other and IBEF value will be small. Our experiments on different correlation coefficients and clustering methods show that IBEF is a proper validity index comparing with other indexes.
DIGITAL TECHNOLOGIES USED IN THE CLASSROOM AS SUPPORTING INSTRUMENTS IN THE EARLY YEARS OF BASIC EDUCATION

We live in a time surrounded by innumerable technological innovations that have impacted this generation significantly, since very early people already make use of some electronic gadget, navigating a universe rich in entertainment features, allowing access to different content whether close or even far. Such technological innovations promote relevant transformations in all sectors of society, contributing to the formation of more active and participative subjects in issues of interest around themselves and the world, favoring the dissemination of popular culture and its enrichment. New technologies favor changes in thinking, acting, teaching and learning, as they have significantly contributed to the advancement of communication and access to information in real time. It is noticed that children are increasingly getting access to these technological tools and master them very skillfully, being able to teach the most advanced in age the use of these novelties. Thinking about the way the child is positioned in the technological society, this work sought to investigate the importance of using new digital technologies in the classroom to enhance the teaching-learning process in the early years of basic education.
ELRI: A Decentralised Network of National Relay Stations to Collect, Prepare and Share Language Resources

We describe the European Language Resource Infrastructure (ELRI), a decentralised network to help collect, prepare and share language resources. The infrastructure was developed within a project co-funded by the Connecting Europe Facility Programme of the European Union, and has been deployed in the four Member States participating in the project, namely France, Ireland, Portugal and Spain. ELRI provides sustainable and flexible means to collect and share language resources via National Relay Stations, to which members of public institutions can freely subscribe. The infrastructure includes fully automated data processing engines to facilitate the preparation, sharing and wider reuse of useful language resources that can help optimise human and automated translation services in the European Union.
Measurement of Levels of Concentrations of Some Heavy Metals in Soils of Some Selected Areas of Pindiga, Nigeria

The population health risk due to heavy metal exposure has been becoming serious and worldwide environmental issue that has attracted considerable public attention.In this study, the level of heavy metal (Cd, Cr, Fe, As and Pb) in soil samples were determined using Atomic Absorption Spectrophotometer methods (AAS) to assess heavy metals contamination of soil due to mining activities around Gombe, Nigeria.The results obtained showed that the highest concentrations of 96.7271±2.770mg/kg for Fe were observed in Unguwar Baka I, 25.5355±1.782mg/kg for Pb were observed in Unguwar Baka I, 21.9673±2.047mg/kg for Cr were observed in Tumu, 12.9675±1.969for Cd were observed in Unguwar Baka I and 0.5782±0.025mg/kg for As were observed in Unguwar Baka.In all the sampling locations, the levels of heavy metals in soil samples measured have the variation pattern in the order: Fe > Cr > Pb > Cd > As.The levels of the Fe, Cr, Pb, Cd, and As are higher than the World Health Organization (WHO) permissible limits in soil.This indicates that their concentration in the soil had the higher capability to pose severe health risk to the community of that area.This information will contribute to awareness of the potential impacts of heavy metals pollutants around the mining area of Gombe state.
Pengembangan Media Pembelajaran Interaktif Berbantu Software iSpring terhadap Retensi Mahasiswa pada Konsep Kalkulus II

The purpose of this study is to develop iSpring software aided interactive learning against student retention on the concept of calculus II. This type of research is RnD research. The development procedure, will be divided into 4 parts, namely preliminary analysis, implementation and preparation of learning media, validation and revision, and small-scale trials (limited). The sampling technique that I use is to use simple random sampling. The results show that there is a positive influence, student retention on student learning achievement in learning calculus II.
The mediating role of experiential avoidance and thought suppression between trait mindfulness and rumination in undergraduates

ObjectiveTo investigate the relationship between trait mindfulness(TM) and rumination, as well as the mediating effects of experiential avoidance(EA) and thought suppression(TS) in undergraduates.MethodsA sample of 1 219 undergraduates was recruited to complete Mindful Attention Awareness Scale, Acceptance and Action Questionnaire-Ⅱ, the White Bear Suppression Inventory and Rumination Response Style Questionnaire.Results(1) The significant positive correlations of each two different factors were found among experiential avoidance (18.020±7.446), thought suppression (47.769±10.011) and rumination (47.668±10.497), and the correlation coefficients were 0.466, 0.546 and 0.525 respectively, all P<0.01. TM (64.977±9.623) was found to be significantly related with EA (r=-0.450), TS (r=-0.424) and rumination (r=-0.527), all P<0.01. (2) Partially mediating effect of EA (effect value=-0.132) and TS (effect value=-0.073) were both found in TM and rumination, and the proportion of these two effects were 25.0% and 13.9%, respectively. The chain mediating effect of EA and TS (effect value=-0.042) was also found between TM and rumination, whose indirect effect size was 8.0%.ConclusionThe relationship between TM and rumination in undergraduates can be mediated by EA and TS respectively, as well as their chain effect.Key words: Trait mindfulness; Rumination; Experiential avoidance; Thought suppression; Mediation
Ways of cross-media research formation

The paper offers to extend the historical time frame of modern cross-media studies formation. The start of this research direction dates not from the 1950-60s, as it is usually considered to be, but from the early 20th century, the ‘synthesis epoch’. Development of neosyncretism was accompanied by creating bright theories in aesthetics and art criticism and promoting the concept of arts’ interaction by the humanities. Three scholars — H. Wolfin, M. Dessoir, and A. Warburg were the pioneers of the modern interdisciplinary research field. The author considers that the range of influences on the cross-media studies in literary criticism should be broadened with the works of philosophers and art critics who started to use the cross-media strategies (not the term itself) when analyzing the works of literature and arts. The leading role belonged to the Iconology school (E. Panofsky, R. Wittkower, E. Gombrich et al.). Their methods were based on applying tools of various disciplines. In the first place, they took into account connections between literature and visual arts. Henceforth, philology interpolated the iconological method into visual and comparative studies. One of the contemporary leading cross-media researchers, W. J. T. Mitchell, named his first book “Iconology: Image, Text, Ideology” (1986).&#x0D; In the middle of the 20th century, philosophy had a considerable influence on the cross-media research formation. In particular, literary critics referred to phenomenology (the works by M. Dufrenne, R. Ingarden. M. Merleau-Ponty) and actualized the analysis of interacting arts once more. A visual turn in culture caused growing attention to the issues of apperceptive cross-sensual experience. The newest works in the fields of perception psychology, gestalt psychology, neurolinguistics, and neurophysiology also support the general cross-media theory. It is possible that, due to the mutual influences of sciences, a uniform platform for studying syncretic phenomena will be created.
THE PHENOMENOLOGY OF CREATIVITY IN DIGITAL ERA

The paper aims to discuss the features of art practices and the specifics of art work existence in the digital culture paradigm. The research methodology is determined by the heuristic potential of art and cultural philosophic studies in digital culture combined with the communicative and existential analytics. The characteristics of author’s individual art strategies in the interactive locus of existence is the scientific novelty of the work and allows us to conclude that the interactive media landscape has considerably changed the configuration of art work in culture. Being the projection of the digital ontology of reality and having received unlimited access to communication, an artist primarily demonstrates creative workflow, provides information on the creation and his or her own quasi-existence, avoiding similarity and anonymity. Sometimes process documentation is more important than art itself and it can replace an artwork. Contemporary art is represented not only by finished products (“objects”), but also by relations (the frequency of participatory practices, performance, life experience of the epoch when the artwork was created). These relations enable to implement new rationalization. Owing to the above practices, an artist and a viewer are both actively involved in the creative process of converging design, content and logic of artwork development. The contemporary reality is mediated not only by transcendent or language, but also by new media (partially linguistic, partially pragmatic), being merely fiction, or construct. This is the way of representation that has fulfills a serious ontological function: the subject existence as a homo mediatus is verified by his or her presence in the network. Accordingly, artist’s creativity, as well as his internal world, will be perceived if he is proactive in digital culture.
Circle Talk in Natural Approach to Improve Students’ Participation in English Speaking

This study is about improving students’ participation in English speaking by applying Circle Talk in Natural Approach to Year – 8 of SMPN 7 Tayan Hilir. It involved 23 students. Students’ participation stands for students’ change of behavior related to the students’ engagement and the total number of words delivered. The participation was observed by the researcher and the observer by using Oral Proficiency Scoring Categories supported by video recording. The use of Circle Talk in Natural Approach successfully improves the students’ participation in English speaking. The mean score was 73, 21 in the first cycle and 74, 21 in the second cycle. Students’ change of behavior in applying the strategy in the first cycle was 90, 66 and it was 94, 00 in the second cycle. Students’ change of behavior which was notified from the Observation was compared from the Field Note written by the observer. Circle Talk in Natural Approach was found out helpful to improve students’ participation in English speaking for Year – 8 of SMPN 7 Tayan Hilir.
Speech Recognition using Deep Neural Network Neural (DNN) and Deep Belief Network (DBN)

It is a difficult task of continuous automatic speech recognition, translating of spoken words into text due to the excessive viability in speech signals. In recent years speech recognition has been accomplishing pinnacle of success however it still has few limitations to overcome. Deep learning also known as representation learning or sometimes referred as unsupervised feature learning, is a subset of machine learning. Deep learning is becoming a conventional technology for speech recognition and has efficiently replaced Gaussian mixtures for speech recognition on a global scale. The predominant goal of this undertaking is to apply deep learning algorithms, together with Deep Neural Networks (DNN) and Deep Belief Networks (DBN), for automatic non-stop speech recognition.
Automatic Generation of Author Output based on the Iterative Clustering Method

The structural differences and requirements of diverse techniques in searching resources, disambiguation, and bias in authors' names for bibliographic searching introduce crafting inaccuracies.On the other hand, usage of external instances of searching such as mail and venue is not sufficient for clearance in searching bibliographic data.This paper proposes iterative clustering method and labeling procedure to search a distinguished set of authors' affiliations zipped into a function to be performed on three databases having different structures.A distinguished algorithm was created using AI methodology to generate best outcomes toward reduction of bias in author's names, resulting in the enhancement of accuracy in bibliographic data.This technique also reduced the requirement of diverse manual inputs in searching resources for finding out author's national outputs.A total of 31 authors (1076 publications) were selected manually and compared against searches of three database sets RISS (Research Information System Store), KMBASE (Korean Medical Database), and DBPIA (Korea Association of Representatives) for a total of 759 found publications.90.2% of national publication search results confirmed to be accurate.