Reviewerly/exHarmony huggingface dataset:
DIS-NV Functions for the Recognition of Emotions in Spoken Dialogue

We present our studies on the use of characteristics that describe the occurrences of DISfluence and nonverbal vocalization (DIS-NV) in spoken expressions for the recognition of emotions in 0"turn" to denote the continuous speech made by one speaker without interrupting the other speaker. Note that each speaker tower can contain one or more declarations, and consecutive speaker declarations may or may not belong to the same speaker tour. Here, our definition of speaker tower focuses on feeling and integrity in speech production, which differs from "tower" in the context of a tower system, which focuses on the transition between different speakers. We carried out experiments in the spontaneous dialogue database AVEC2012 to study the effectiveness of the proposed work. Our results show that our DIS-NV functions offer better performance than LLD or PMI functions in predicting all emotional dimensions. The DIS-NV characteristics are particularly predictive of the emotional dimension Waiting linked to the speaker's uncertainty and allow the best reported result to be obtained. The emotion recognition model using only the 5 DIS-NV functions achieved overall performance linked to the best reported result obtained by a multimodal emotion recognition model using thousands of audiovisual and lexical functionalities. These results confirmed that the proposed characteristics of DIS-NV are predictive of emotions in spontaneous dialogue.
DISCRIMINANT ANALYSIS THROUGH FISHER METHOD ON STUDENT'S MATERIALS BUILDING IN SMP 1 BANDA ACEH

The study is done for determining how many students and how the percentage of students who have mastered the material geometry about prism and pyramid, and getting the discriminant function about the mastery of the material. The study population was the entire eighth grade students of SMP Kasih Banda Aceh while the sample were students of class VIII-1 and VIII-8 to 66 students. Based on the research that has been done using the fisher discriminant analysis method, 18,18% of students have mastered the material geometry and 81,82% of students have not mastered the material geometry. It means that from 66 students only 12 students were able to master the material geometry about well- prism and pyramid. The discriminant function that is formed is and .
Synthetic Minority Oversampling and Smote Regularised Deep Autoencoders Neural Network Techniques for Fraud Prediction in Financial Payment Services

Frauds in Financial Payment Services are the most prevalent form of cybercrime. The increased growth in e-commerce and mobile payments in recent years is behind the rising incidence of fraud in financial payment services. According to "McKinsey, fraud losses throughout the world could be close to $44 billion by 2025." Every year, fraudulent card transactions causes billions of US Dollar of loss. To reduce these losses, designing effective fraud detection algorithms is essential, which depend on sophisticated machine learning methods to help investigators in fraud. For banks and financial institutions, therefore, fraud detection systems have gained excellent significance. Though the fake transactions are very low when compared to genuine transaction, care must be taken to predict it so that the financial institutions can maintain the customer integrity. As fraud is unlikely to occur compared to normal operations, we have the class imbalance problem. We applied Synthetic Minority Oversampling TEchnique (SMOTE) and the Ensemble of sampling methods(Balanced Random Forest Classifier, Balanced Bagging Classifier, Easy Ensemble Classifier, RUS Boost) to Ensemble machine learning algorithms Performance assessment using sensitivity, specificity, precision, ROC area. The purpose of this article is to analyze different predictive models to see how precise they are to detect whether a transaction is a standard payment or a fraud. Instead of misclassifying a real transaction as fraud, this model seeks to improve detection of fraud. We noted that the technique of Ensemble learning using Maximum voting detects the fraud better than other classifiers. Decision Tree Classifier, Logistic Regression, Balanced Bagging classifier is combined and the proposed algorithm is OptimizedEnsembleFD Algorithm. The sample size is increased and deep learning is applied .It is found that the proposed system Smote Regularised Deep Autoencoders (SRD Autoencoders) neural network performs better with good recall and accuracy for this large dataset.
Pengujian dan Model Penerimaan Aplikasi Web Mapping System Lahan Pertanian

The entry of technology in agriculture also has a big influence in supporting farmers in making their work easier. Many agricultural systems are formed that can encourage the success of farming productivity, such as an example of a system for collecting farmer data and farming activities, a land management system, land preparation so that a system that provides information as learning for farmers and farmer groups. In this study, the usability test and acceptance test of the web application mapping system for agricultural land will be carried out to see the level of reusability and the level of acceptance of the system. Usability testing uses the usability testing method, while acceptance testing uses the technology acceptance model method and uses an eye tracker in testing and the Partial Least Square software to process data. The results of this study indicate the level of usability of the combining metrics task success is 93%, time on task is 43%, error is 60% and efficiency is 70%. For the results of the acceptance test, it was obtained that two of the five hypotheses had a significant and significant influence, namely the perceived ease of perception on the perceived usefulness and the perceived attitude of use towards behavioral interest.
Correction: Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency

[This corrects the article DOI: 10.1371/journal.pone.0216030.].
Quo vadis all’italiana: investigazione stilometrica sulle tra-duzioni milanesi del bestseller di Henryk Sienkiewicz

Quo Vadis made its way into Italy at the end of the 19 th century through the efforts of Neapolitan translator Federigo Verdinois.The first part of this paper outlines the history of the popularity of Quo Vadis by focusing on the operations of Milanese publishers that made the Polish novel part of their offer in a variety of ways (as translations, adaptations, reworkings, plagiarisms, etc.).Bibliometric methods are used to establish why so many publishing houses decided to publish Henryk Sienkiewicz's Roman romance.The analysis of the bibliometric data of the published translations helped assess and describe the extent and the character of the popularity that the novel garnered among Milanese publishers.The second part of the paper relates the findings of a multi-method quantitative study of the same material.The number of word tokens was compared between the original and the translations.The lexical richness across the texts under study was compared by means of the moving average type-token ratio (MATTR).Sentence lengths were also compared, as was sentence length distribution as time series.Two different programmes (WCopyFind and Tracer) yielded very similar results on the degree of the similarity of five-word phrases in pairs of translations, which was determined in network analysis.
Supplemental Material: Subduction and exhumation slip accommodation at depths of 10–80 km inferred from field geology of exhumed rocks: Evidence for temporal-spatial localization of slip

Figures 7, 8, 10, 11, 12, and 13 for zoom-in viewing.
The Quantum Gyroscope Versus the CERN Supercollider

When civilization stagnates, it erects something great but useless in the form of either Pharaoh’s pyramid, or Chinese wall. The CERN collider is the best characteristic of our times. The Chinese wall was never a worthy defense against nomadic forces. I cannot believe that the CERN superconducting supercollider will not give up before the absolute geometry of space, time and matter
Students’ reading interest in biology learning model based on remap CIRC, GI and TGT

This study aims to determine the differences in students' reading interest in biology learning models based on remap CIRC, GI, and TGT. It is a quasi-experiment implemented in Public High School N of Malang, Indonesia and Public High School S of Malang, Indonesia in the odd semester of 2014/2015. The research population was all students of 10th grade of Public High School of Malang, Indonesia. The sampling technique was random sampling. The research sample consisted of 10th-grade science 1 of Public High School N of Malang, Indonesia, 10th-grade science 2 of Public High School N of Malang Indonesia, and 10th-grade science 1 of Public High School S of Malang, Indonesia as an experiment group; and 10th-grade science 3 of Public High School N of Malang, Indonesia as a control group. The analysis was carried out in a quantitative. The result showed that the CIRC remapping learning model had the greatest influence on students' reading interest compared to GI and TGT. The students’ reading interest scores using remap CIRC, GI, and TGT models were 82.90, 76.23, and 80.49. Remap CIRC, GI, and TGT model should be applied in biology learning because it can empower students' reading interest.
Mutual Browser Conflicts Disclosure

In today’s world everything is becoming web dependent, and due to the advances made in web technologies, web developers have to face various challenges. Every web application before being deployed goes through various phases which may look different on different browsers. It becomes difficult to identify correct web page when it gives differences across different browsers. The web pages may give significant differences and it is known as cross-browser inconsistency. A technology that has gained a prominent position known as AJAX (Asynchronous JavaScript and XML), in which the combination of JavaScript and Document Object Model (DOM) manipulation, along with asynchronous server communication is used to achieve a high level of user interactivity. With this change in developing web applications comes a whole set of new challenges, One way to address these challenges is through the use of a crawler that can automatically walk through different states of a highly dynamic AJAX site and create a model of the navigational paths and states. Identifying these conflicts manually is a laborious task. Mutual browser conflict disclosure presents a mechanism to identify conflicts.
Sentiment Analysis on Citations in Research Paper

Scientific papers are the papers including citations. Generally scientific papers include references at the end of the paper. Authors of these papers may include related work in their paper. The related work may or may not help the author. We apply sentiment analysis on the related work in a scientific paper and find out whether the references are helpful or not for the author. In this paper, we apply data pre-processing on the related work and find out the polarity for each mentioned reference using Naive-Bayes theorem. We also apply h-index ranking algorithm on the citations of references. Finally, we find out the overall polarity of the references. Three parameters are used to calculate the result. They are related work mentioned in the research paper, number of citations for each reference in the research paper and h-index value for each author in the references of the research paper respectively. First parameter is used to calculate naïve bayes and the rest two are used to calculate h-index. The expected result is to find the polarity of each reference cited by the author.
The Effect of Language Games with Audio Visual AIDS on Students’ Speaking Competence at Fourth Graders of Tunas Daud Elementary School

This study aimed to determine the effect of language games with audio visual aids on students' speaking competence at fourth grade students of Tunas Daud elementary school and to describe the implementation of language games with audio visual aids on students’ speaking competence. The design used in this research was a mixed method design. It was explanatory design since this research was started with quantitative design (experimental design with post test only control design) followed by qualitative design. The samples were 62 students; 31 students of the experimental group and 31 students of the control group of fourth grade Tunas Daud elementary students. The data were collected by using speaking competence test and analyzed by IBM SPSS 22 with independent t-test. The data were also collected through an observation sheet for observing the implementation of the language games with audio visual aids. The results showed there was a significant effect of the language games with audio visual aids on students' speaking competence in which the mean score of the students who were taught by using language games with audio visual aids is better than the students who were taught without language games with audio visual aids. For the implementation of the language games with audio visual aids, it can be seen that the implementation of the language games with audio visual aids were done in a very good way. The games was suitable for the students since it could give good impacts for the students. The students are active and confident to speak.
Performance Analysis of Image Processing in Hexagonal Grid Based on Image Compression, Denoising and Steganography

This paper gives a summary of different works we had performed in hexagonal grid for the performance analysis of image processing in hexagonal grid. Processing based on hexagonal grid is a new approach in image processing because of its various advantages. This paper covers image compression and image denoising in hexagonal grid. Image compression using wavelet transform is performed in hexagonal grid. The performance of compression in hexagonal grid and conventional rectangular grid are analyzed in terms of Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). It is observed that better PSNR is obtained in the case of hexagonal grid. Wavelet thresholding based method is done for image denoising in hexagonal grid. The thresholding method is named as ‘Jeevkrish’ method, which is the modification of NeighShrinkthresholding method. The performance is analyzed using MSE, PSNR and Structural Similarity (SSIM) Index. An algorithm (‘JK’ algorithm) for generating a pseudo hexagonal structure image and a method for image hiding using the pseudo hexagonal image as the cover image are also discussed in this paper
The science of singing: When speech and music combine

f I cannot fly, let me sing."So said the composer Stephen Sondheim, one of the most important figures in musical theatre in the last century.Most of us probably do not realise how big a part music, and singing, play in our everyday lives.
Social Project Planning in the Continuing Education System of the University

The implementation of social projects is an increasingly popular and effective practice. The subjects of all age groups can be their target audience: from preschoolers who want to promote their creative potential, young people focused on professional self-determination to middle age persons taking interest in the expansion of their information horizons and opportunities of older people who want to address gaps in knowledge in order to adapt to social and technical changes. The paper deals with the problem of andragogic education as a factor of adaptation and socialization of older people who feel fear and uncertainty in the world that is shifting to the common usage of information technology. The purpose of the paper is analysis and description of the process of educational support with the use of social project planning of a vulnerable group of older people. The novelty is practical results obtained on the base of a pedagogical university when implementing socially oriented projects on the generation of computer literacy in older people. The “Available environment: computer literacy improvement” course allows this social group not only to adapt to ever-changing conditions of life but also contributes to their spiritual and physical longevity, social activity and improvement of the quality of life in general. The results and effectiveness of the social project are evaluated using questioning, interview, and observation before and after delivered lessons. The assessment criteria were formed and subjected to adjustment in the course of project implementation and are based on quantity and quality factors. The main criterion was the students’ formed steady motivation to further independent use of the computer, development of computer skills and practical use. Further demand of the course and findings allowed stating the achievement of set goals.
Correction to: Characterizing the cultural evolutionary process from eco-cultural niche models: niche construction during the Neolithic of the Struma River Valley (c. 6200–4900 BC)

The lists of archeological settlements represented by Figures 3 & 4 in the original online first publication were unfortunately mislabelled by the author. Amended figures with the correct labelling have since been submitted.
Cover

Meteoritics & Planetary ScienceVolume 54, Issue 6 p. i-i CoverFree Access Cover First published: 03 June 2019 https://doi.org/10.1111/maps.13158AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Graphical Abstract Volume54, Issue6June 2019Pages i-i RelatedInformation
An Efficient Chaotic Encryption with Video Watermarking Technique using Improved Whale Optimization Algorithm

Due to the advancements and familiarity of the Internet and the rise of different live broadcasting environments, digital videos have become a part of every day's life.On the other hand, security of videos poses a major threat in the common public networks.Digital watermarking is an effective approach commonly used to secure the digital information.Watermarking is a process of hiding data into multimedia content with no loss of the quality of the content in such a way that the watermark can be extracted by the legal user.This paper proposes a new digital video watermarking with encryption (DVWE) technique using improved whale optimization algorithm.The proposed model initially splits the input video into a sequence of frames and watermark data is hidden into every individual frame.Then, the image frames are decomposed using multi-level discrete wavelet transform (DWT).Besides, improved whale optimization algorithm (IWOA) is derived by incorporating the benefits of whale optimization algorithm (WOA) with levy flight (LF) concept for optimal pixel selection in the cover image.Followed by, the R, G and B components in the watermark data is encrypted by three encryption techniques namely elliptic curve cryptography (ECC), double logistic chaotic map (DLCM) and signcryption.As a result, the encrypted watermark image data is embedded into the cover image and then converted into a watermarked video.At the receiving end, the reverse process takes place to retrieve the secret watermark video.In order to assess the performance of the proposed model, an extensive experimental results analysis takes place.The simulation outcome depicted the effective performance of the presented model over the existing models.
in brief

PAGE 810 Greek and Serbian researchers present a new recurrent neural network (RNN) for solving linear algebraic systems with finite-time convergence. The network can converge on a solution faster than previous methods due to inclusion of an exponential term in the Zhang neural network (ZNN). The work is validated by theoretical analysis and simulation. PAGE 816 Two researchers from South Korea introduce attention-guided domain adaptation networks for face recognition under an unsupervised setting. The proposed module is applied to category classifiers and domain discriminators in a channel-wise manner. By learning the optimal adaptation factor for each channel the networks successfully align source and target domains. The residual error ||Ax(t)−b||of VPFTZNN (5) (for γ= 100,p= 3 and q= 2) and GNN [12]. PAGE 840 A capacitor-based bionic synapse is proposed, harnessing the partial polarisation switching of multi-domain properties in polycrystalline Zr-doped HfO2 ferroelectric materials. The synapse shows multi-level capacitance modulation characteristics. This research lays the groundwork for realising high-density integration neuromorphic computing systems. Proposed attention-guided model. PAGE 806 Chinese researchers propose a time-difference integrator which can compensate for the time-error caused by leakage current in gated delay-buffer cells. It is implemented in a 28-nm CMOS process, achieving a gain of 27.39 dB with a 317 kHz 30 ps peak-to-peak sinosudal input and consumes 110.3 μW with 50 MHz sampling rate from a 0.9 V supply. Simplified schematic of the prepared capacitor with TiN/HZO/TiN structure. PAGE 808 Two researchers from New Zealand present the design and analysis of a tunable low-noise amplifier, capable of achieveing single-band (1 GHz), dual-band (1 GHz and 1.7 GHz–2.5 GHz) and wideband (1.6–2.5 GHz) operations. The amplifier has a measured power gain of 7–15 dB and a noise figure of 1.2–2.2 dB across all bands. Simulated integrated time error. Multimode tunable low-noise amplifier design.
DYNAMICALLY PRIORITIZED FAILURE MANAGEMENT ACCORDING TO RELIABILITY MODEL IN LARGE-SCALE DATA CENTER

We propose a dynamically prioritized failure management method according to the reliability model that the failure rate of virtual machine varies in its life cycle.When using a combination of server monitoring with ping and network connection check with Ethernet OAM, the system sets higher priorities to the port connected to a long running server, and the port within a certain time after the connection change or virtual machine addition is set.The system then selects the ports from the higher priority port to be monitored by Ethernet OAM.As a result of the evaluation by the simulation, by dynamically selecting the port to be monitored for Ethernet OAM using the proposed method, it was confirmed that more than a third of all failures were detected with Maintenance End Points which number is only a tenth of that of servers in a data center.In the data center for cloud services running many VMs, it is possible to shorten the recovery from VM failure while suppressing the number of objects monitored by Ethernet OAM by using this method.
Domain Name and Its Protection in India

The present article deals with the concept of domain name, its protection and conflicts arising out of malafide registration of the same. Before proceeding further, it is important to give a brief on what domain names are. A domain name is an actual name given to an Internet Protocol and has every qualification of identification. Since Internet protocols are complex combination of alpha numeric values, the domain names makes the identification process of a network easy to remember. For example, remembering ‘humans’ is easier than ‘homo sapiens’ and convenient also. Similarly remembering ‘www.google.com’ is easier than ‘64.233.191.255’ . In later part of the research registration of domain names have been discussed in detail. In case of use of such registered domain name by third party unauthorizedly will amount to offence. The researcher has further thrown light on conflicts arising out of such unauthorized use and the judicial pronouncements towards the same. At the end various findings and suggestions regarding better dispute resolution system has been discussed.