Reviewerly/exHarmony huggingface dataset:
AN EFFICIENTFUZZY C-MEANS CLUSTERING ALGORITHM FOR MULTI-VALUED DATA SETS

In data analysis, items were mostly described by a set of characteristics called features, in which each feature contains only single value for each object. Even so, in existence, some features may include more than one value, such as a person with different job descriptions, activities, phone numbers, skills and different mailing addresses. Such features may be called as multi-valued features, and are mostly classified as null features while analyzing the data using machine learning and data mining techniques. In this paper, it is proposed a proximity function to be described between two substances with multi-valued features that are put into effect for clustering.The suggested distance approach allows iterative measurements of the similarities around objects as well as their characteristics.&#x0D; For facilitating the most suitable multi-valued factors, we put forward a model targeting at determining each factor’s relative prominence for diverse data extracting problems. The proposed algorithm is a partition clustering strategy that uses fuzzy c- means clustering for evolutions, which is using the novel member ship function by utilizing the proposed similarity measure. The proposed clustering algorithm as fuzzy c- means based Clustering of Multivalued Attribute Data (FCM-MVA).Therefore this becomes feasible using any mechanisms for cluster analysis to group similar data. The findings demonstrate that our test not only improves the performance the traditional measure of similarity but also outperforms other clustering algorithms on the multi-valued clustering framework.&#x0D;
Good Morning to Good Night Greeting Classification Using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Frame Feature Selection

Purpose:Select the right features on the frame for good accuracyDesign/methodology/approach:Extraction of Mel Frequency Cepstral Coefficient (MFCC) Features and Selection of Dominant Weight Normalized (DWN) FeaturesFindings/result:The accuracy results show that the MFCC method with the 9th frame selection has a higher accuracy rate of 85% compared to other frames.Originality/value/state of the art:Selection of the appropriate features on the frame.
Research trends on CAPTCHA: A systematic literature

The advent of technology has crept into virtually all sectors and this has culminated in automated processes making use of the Internet in executing various tasks and actions. Web services have now become the trend when it comes to providing solutions to mundane tasks. However, this development comes with the bottleneck of authenticity and intent of users. Providers of these Web services, whether as a platform, as a software or as an Infrastructure use various human interaction proof’s (HIPs) to validate authenticity and intent of its users. Completely automated public turing test to tell computer and human apart (CAPTCHA), a form of IDS in web services is advantageous. Research into CAPTCHA can be grouped into two -CAPTCHA development and CAPTCH recognition. Selective learning and convolutionary neural networks (CNN) as well as deep convolutionary neural network (DCNN) have become emerging trends in both the development and recognition of CAPTCHAs. This paper reviews critically over fifty article publications that shows the current trends in the area of the CAPTCHA scheme, its development and recognition mechanisms and the way forward in helping to ensure a robust and yet secure CAPTCHA development in guiding future research endeavor in the subject domain.
MGFPN: Enhancing multi-scale feature for object detection

Feature pyramids are commonly applied to solve the scale variation problem for object detection. One of the most representative works of feature pyramid is Feature Pyramid Network (FPN), which is simple and efficient. However, the fully power of multi-scale features might not be completely exploited in FPN due to its design defects. In this paper, we first analyze the structure problems of FPN which prevent the multi-scale feature from being fully exploited, then propose a new feature pyramid structure named Mixed Group FPN (MGFPN), to mitigate these design defects of FPN. Concretely, MGFPN strengthens the feature utilization by two modules named Mixed Group Convolution(MGConv) and Contextual Attention(CA). MGConv reduces the spatial information loss of FPN in feature generation stage. And CA narrows the semantic gaps between features of different receptive field before lateral summation. By replacing FPN with MGFPN in FCOS, our method can improve the performance of detectors in many major backbones by 0.7 to 1.2 Average Precision(AP) on MS-COCO benchmark without adding too much parameters and it is easy to be extended to other FPN-based models. The proposed MGFPN can serve as a simple and strong alternative for many other FPN based models.
The Effect of The Blended Learning Model on The Improvement of Student Learning Outcomes

The purpose of the study was to analyze the effect of the blended learning model towards learning outcomes of the comprehension concepts and economic problems solving of Private Islamic High School students in Nganjuk Regency. The study used an experimental method, with a quasi-nonequivalent control group design. The research was conducted at Private Islamic High School Al Manar Prambon Nganjuk. The samples were conducted based on students' characteristics and similarities in economic topics. The experimental class was assigned to XI Social 1 and the control class was XI Social 2. The analysis technique used was descriptive statistical technique and two-ways MANAVA. Descriptive statistics were seen from the mean, standard deviation, variance, and presentation. The results of the MANAVA test analysis when viewed from the centroid pillar's trace, Wilks' lambda, hotelling's trace, and Roy's lambda root in the experimental class had a significance value of 0.000. The value was transformed to the Fisher distribution or F test, then it is smaller than α ˂ 0.050. The study shows that the blended learning model has an effect on the learning outcomes of comprehension concepts and economic problems solving of Private Islamic High School students.
Movie Recommendation through Multiple Bias Analysis

A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based on matrix factorization (MF). Therefore, a new method is required for analyzing preference patterns, which could not be derived by existing studies. This study aimed at solving the existing problems through bias analysis. By analyzing users’ and items’ biases of user preferences, the bias-based predictor (BBP) was developed and shown to outperform memory-based CF. In this paper, in order to enhance BBP, multiple bias analysis (MBA) was proposed to efficiently reflect the decision-making in real world. The experimental results using movie data revealed that MBA enhanced BBP accuracy, and that the hybrid models outperformed MF and SVD++. Based on this result, MBA is expected to improve performance when used as a system in related studies and provide useful knowledge in any areas that need features that can represent users.
Exploration of Innovative Education Mode Based on the 5C Concept of Core Literacy —— Take Bridging Education between High School and University as an Example

In recent years, with the further promotion of the concept of quality-oriented education, universities and middle schools have set up a system to further implement the high-quality humanistic quality work proposed by General Secretary Xi Jinping, comprehensively promote the process of education modernization, continuously improve the quality of personnel training, and provide high-quality and high moral talents for the society. Based on the first perspective of college students, this paper explores the implementation mode of innovative education in the bridging stage between high school and university.
The Enhancement of Core Values and Competitiveness of Traditional Media Under the Impact of Emerging Media

Under the impact of new media, some of the advantages of traditional media are slowly disappearing.If traditional media wants to occupy a place in the increasingly fierce media market, it must strengthen its core competitiveness, then meet new things with a correct attitude, and break through the bottleneck of development.Based on the comparison of the production capacity and brand influence of traditional media and emerging media, this paper puts forward the path of enhancing the core competitiveness of traditional media from the aspects of learning from new media, improving content productivity and expanding brand influence.
Foreign Language Communicative Competence Formation of University Students by Using Interactive Teaching Methods

Th e article describes features in the developing of foreign language communicative competence by using interactive teaching methods.Th e directions of developing the students' foreign language communicative competence are determined.Experimentation on skills in the development of this competence was carried out on the basis of interaction between participants.A comparative analysis of the results in experimental and control groups is proposed.Th e scientifi c novelty of the article is that it describes the eff ectiveness of the experience of using cooperation technology and the online platform Technology Entertainment Design in the developing of foreign language communicative competence of students.
Formal security proof for a scheme on a topological network

Key assignment and key maintenance in encrypted networks of resource-limited devices may be a challenging task, due to the permanent need of replacing out-of-service devices with new ones and to the consequent need of updating the key information. Recently, Aragona et al. proposed a new cryptographic scheme, ECTAKS, which provides a solution to this design problem by means of a Diffie-Hellman-like key establishment protocol based on elliptic curves and on a prime field. Even if the authors proved some results related to the security of the scheme, the latter still lacks a formal security analysis. In this paper, we address this issue by providing a security proof for ECTAKS in the setting of computational security, assuming that no adversary can solve the underlying discrete logarithm problems with non-negligible success probability.
Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence

Visual-semantic embedding aims to learn a joint embedding space where related video and sentence instances are located close to each other. Most existing methods put instances in a single embedding space. However, they struggle to embed instances due to the difficulty of matching visual dynamics in videos to textual features in sentences. A single space is not enough to accommodate various videos and sentences. In this paper, we propose a novel framework that maps instances into multiple individual embedding spaces so that we can capture multiple relationships between instances, leading to compelling video retrieval. We propose to produce a final similarity between instances by fusing similarities measured in each embedding space using a weighted sum strategy. We determine the weights according to a sentence. Therefore, we can flexibly emphasize an embedding space. We conducted sentence-to-video retrieval experiments on a benchmark dataset. The proposed method achieved superior performance, and the results are competitive to state-of-the-art methods. These experimental results demonstrated the effectiveness of the proposed multiple embedding approach compared to existing methods.
Attitudes of Young Moroccans towards the Use of Code-switching in their Facebook Interactions

&lt;p&gt;&lt;em&gt;Code-switching is part of the daily speech of a huge number of Moroccans. The insertion of French words and expressions in the Moroccan individuals’ verbal interactions gives the impression that they are modern, educated and belonging to a higher social class. This kind of language is very common among young Moroccans, and considered as a sophisticated way of communicating, especially in social networking sites, mainly Facebook. However, there is a controversy over the use of code-switching all over the world, as some consider it a sign of first language attrition and others, on the other side, perceive it as a conscious act performed by bilingual speakers to serve different communication intents. &lt;/em&gt;&lt;em&gt;The main purpose behind this research is to holistically investigate, through survey questionnaire, the phenomenon of code-switching among young Moroccans in Facebook, since it is highly frequent among this category, trying to trace their attitudes towards this linguistic phenomenon, and whether they consider it as a communicative strategy or a sign of Moroccan language attrition. It also attempts to find out whether demographic variables such as, ‘age’, ‘level of education’ and ‘type of school’ can be considered among factors that might influence the way young Moroccan Facebook users perceive CS. Findings achieved from statistical analysis of data also showed that socio-demographic variables mainly age, level of education, type of school, are responsible for variations at the level of attitudes of young Moroccan Facebook users.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
The Economics of Confrontational Conversation

On the internet surfers jettison much of their social restraint, confronting, and correcting perfect strangers. It leads to, for example, edit wars on Wikipedia, condescending insults on Reddit, and righteous putdowns on Twitter. This behavior invites plenty of legal analysis, angry editorializing, and technological proposals, but rarely economic analysis. The author addresses that gap and considers the question of "What economic factors make confrontational conversation more or less likely in our era?" the increasing frequency of breakaways is a symptom that they are becoming cheaper to build. Ergo, we should expect mainstream sites to face increasing pressures towards fragmentation. He concludes that the trends toward fragmentation worries anyone who wants to maintain civil society. Who will encourage the confrontations that settle the public conversations? Most worrisome, misinformation, and deep fakes are becoming more widespread in breakaway communities, and especially on the dark web. Right now, most users of deepfakes entertain themselves (you do not really want to know the details.), but, as with any frontier software, it will become mainstream soon enough. As deepfakes become more common, who will adjudicate whether a deepfake of a politician or celebrity is real or not? How can anybody do that if online users have sorted themselves into various groups that do not trust one another?
Mineralizing Events of the World-Class Volta Grande Gold Deposit, Southeastern Amazonian Craton, Brazil

The southeastern region of the Amazonian Craton has been the target of several metallogenetic surveys, which recently led to the identification of the world-class Volta Grande gold deposit with gold reserves of ~3.8 Moz at 1.02 g/t. This deposit is located ~60 km southeast of Altamira city, Pará state, and is hosted by the Três Palmeiras intrusive greenstone belt that is located in the northern Bacajá tectonic domain (2.24–2.0 Ga). The mineralization is hosted by a high-level intrusive and mylonitized suite. Local kinematic indicators suggest dip-slip movement in which the greenstone moves up relative to the intrusive rocks. Native gold mostly occurs as isolated grains in centimeter-wide quartz veins and veinlets associated with pervasive carbonate alteration that was synchronous with dynamic metamorphism. Part of the gold is also associated with disseminated sulfides in this generally low-sulfide mineralization. These relationships are compatible with orogenic lode-type gold systems elsewhere. New petrographic studies from core samples along a stratigraphic profile reveal the presence of lava flows and dykes of rhyodacite, rhyolite, and plutonic rocks such as quartz monzonite, granodiorite, monzodiorite, and subordinate microgranite crosscutting an earlier style of mineralization. These rocks are characterized by potassic, propylitic, intermediate argillic, and/or carbonate hydrothermal alterations in selective, pervasive, or fracture-controlled styles. Within the hydrothermal volcano-plutonic sequence, gold occurs as disseminated isolated grains or replacing sulfides. Both native gold and sulfides are also present in centimetric quartz veinlets. Such features of the deposit are similar to those from porphyry-type and low- to intermediate-sulfidation epithermal systems already identified in the Amazonian Craton. The Volta Grande deposit data suggest a second mineralizing event, common in large-tonnage gold deposits, and can represent a new exploration guide.
Application of the method of renormalization with limitation to remote sensing images obtained with synthetic aperture radars.

This article proposes an application of the method of renormalization with limitation (MRL) to suppress speckle noise in SAR images. This is because the method of renormalization with limitation, by its definition, renormalizes the SAR image spectrum to a universal reference spectrum (URS) model, which is a "good" quality grayscale spectrum model. To increase the overall sharpness of the image, consistently with the MRL, it is proposed to apply the classical Laplacian. This study allows us to conclude that the application of MRL to SAR images can significantly reduce speckle noise.
THE TEACHERS’ AND STUDENTS’ PERCEPTION ON ENGLISH TEXTBOOK “WHEN ENGLISH RINGS THE BELL”

Abstract &#x0D; The purpose of this study is to compare the student's and teacher’s perceptions about their current English textbook they used. This study categorized as a descriptive qualitative study. The population of VIII grade students (45 students) of junior high school was involved in this study and an English teacher of them too. The questionnaire and semi-structured interview were used as the instrument of this research. Besides, the guideline of the interview and questionnaire was from [1]Cunningsworth's (1995) theory which is explained about the book evaluation. The data were analyzed through Google form percentage presentation for the questionnaire while transcription, coding was used for the interview section. The result showed, 75% of students believed that the book they used has good quality. While the rest 25% felt it did not fulfill their expectation and need. Besides, the teachers’ perception supports it with some of the books’ part lacks organization and employed too many vocabularies. Whereas the students felt their current level was not suitable with the teachers’ beliefs, but the teacher believed that it was appropriate with the students’ level. So, there were few different perceptions between them. However, the teacher believed that her role in helping students with textbook usage could help the main point of students’ need due to the teacher has lack of knowledge and awareness to do coursebook evaluation. Therefore, further research needs to be done to make this study more comprehensive. &#x0D; &#x0D;
Deep Attention on Measurable and Behavioral-driven Complete Service Composition Design Process

The web service technology has still proved its effectiveness in the digital revolution we are facing.This success unfortunately raises more and more complex obstacles, particularly related to the service composition.The integration of Non-Functional Requirements (NFRs) in each step of service composition process, starting with abstract service composition specification to the generation of the verified and concrete composed services, represents one of them.Furthermore, this complexity remains more difficult when NFRs are addressed in both quantifiable (i.e.Quality of Service) and behavioral aspects.Despite the relevant contributions present in the literature, this challenge still remains an open issue when considering NFRs modeling, publishing, integrating with each other, and handling conflicts and dependencies in the whole composition's lifecycle.As a consequence, we suggest this contribution that aims to propose an approach showing how to weave efficiently required NFRs with functional requirements in a complete lifecycle composition supporting specification, formalization, model checking verification and integration steps of desired concrete composite service.Patient Health Records in Regional and University Health Centers in Morocco is used as a case study to experiment our approach.
Activation of Independent Work of Future Teachers by Means of Information and Communication Technologies

The effectiveness of higher education depends on many conditions and means.Continuous and comprehensive acquisition of theoretical knowledge and practical skills is facilitated by the use of modern information and communication technologies during all years of study in a higher education institution.Due to the penetration of new information technologies in the field of education, it has become possible to qualitatively change the content, methods, tools and organizational forms of education.The article reveals ways to intensify the independent work of future teachers by means of information and communication technologies.After analyzing the data, it was found that students in the control and experimental groups have significant differences on such scales as: awareness, decision-making, planning and communication; there is also a positive trend on mnemonic, volitional and mental scales.According to the study, it is possible to say that future teachers of the experimental group are more knowledgeable and confident in choosing their profession, they more rationally and adequately assess the situation and more thoughtfully plan their future than students in the control group.Our study allows us to draw conclusions about the need for teachers in all disciplines to implement practice-oriented content, use active methods and technologies and abandon traditional teaching methods in the absence of practical significance of the content of educational material.It is necessary to use a rating assessment of students' work in the classroom; emotional form of presentation of the material; installation on the practical significance of the subject being studied; formation of professional competencies in students; creating situations of young people's awareness of the need for vocational education to succeed in life; to actualize persistence, independence, activity, initiative at performance of educational tasks.
A model of spinfoam coupled with an environment

In this paper, an open quantum system theory for spinfoams is developed. This new formalism aims at deriving an effective Lindblad equation to compute the reduced dynamics of a quantum gravitational field. The system parameters are determined from numerical ab initio calculations, based on the spinfoam formalism. This theoretical proposal is illustrated by means of examples. The decoherence effect can induce the relaxation of the quantum gravitational state toward a sate of a small area. This is analogue to the well-known Purcell relaxation of QED, for which the qubits are replaced by the spin-network representation of the gravitational field. Some thermodynamic properties of these systems are computed, and several issues with the thermal time hypothesis are underlined. Moreover, the results suggest that further approximations can be performed to study reduced dynamics of quantum space-time.