Reviewerly/exHarmony huggingface dataset:
Seismic Hazard Assessment Problem in a Big Data World

Acta Geologica Sinica - English EditionVolume 93, Issue S1 p. 269-269 Session 8: Seismicity, volcanism and deep processesFree Access Seismic Hazard Assessment Problem in a Big Data World Vladimir G. Kossobokov, Vladimir G. Kossobokov volodya@mitp.ru Institute of Earthquake Prediction Theory & Mathematical Geophysics, RAS, Moscow, Russian Federation Institut de Physique du Globe de Paris, Paris, France International Seismic Safety Organization, Arsita, ItalySearch for more papers by this author Vladimir G. Kossobokov, Vladimir G. Kossobokov volodya@mitp.ru Institute of Earthquake Prediction Theory & Mathematical Geophysics, RAS, Moscow, Russian Federation Institut de Physique du Globe de Paris, Paris, France International Seismic Safety Organization, Arsita, ItalySearch for more papers by this author First published: 31 May 2019 https://doi.org/10.1111/1755-6724.14080AboutPDF 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 No abstract is available for this article. Volume93, IssueS1Special Issue: Abstracts of the International Symposium on Deep Earth Exploration and Practices, 24–26 Oct 2018, Beijing, ChinaMay 2019Pages 269-269 RelatedInformation
Mean contents of volatile components, major and trace elements in magmatic melts from main geodynamic settings of the earth. II. Silicic melts

As a continuation of our previous study, we estimated the mean contents of volatile, major, and trace components in silicic (&gt;66 wt % SiO2) magmatic melts from main terrestrial geodynamic settings on the basis of our database, which includes (as of middle 2017) more than 1 500 000 determination of 75 elements in melt inclusions and quench glasses from rocks. Among the geodynamic settings are those related to subduction processes (III, island-arc zones originated on oceanic crust and IV, magmatic zones of active continental margins, where continental crust is involved in magma formation) and intracontinent rift and continental hot-spot regions (V). For each geodynamic setting, we calculated the mean contents of elements with confidence limits separately for melt inclusions and groundmass glasses and for the entire data set. Systematic differences were found between the mean compositions of melt inclusions and groundmass glasses from these geodynamic settings. Primitive mantle normalized spider diagrams were constructed for all geodynamic settings. Some ratios of elements and volatile components (H2O/Ce, K2O/Cl, La/Yb, Nb/U, Ba/Rb, Ce/ Pb, etc.) in silicic and mafic melts were compared. Variations in the ratios of various elements to Th, which is one of the most incompatible elements in silicic and mafic melts, were discussed.
Cache Contention on Multicore SystemsAn Ontology-based Approach

Multicore processors have proved to be the right choice for both desktop and server systems because it can support high performance with an acceptable budget expenditure.In this work, we have compared several works in cache contention and found that such works have identified several techniques for cache contention other than cache size including FSB, Memory Controller and prefetching hardware.We found that Distributed Intensity Online (DIO) is a very promising cache contention algorithm since it can achieve up to 2% from the optimal technique.Moreover, we propose a new framework for cache contention based on resource ontologies.In which ontologies instances will be used for communication between diverse processes instead of grasping schedules based on hardware.
Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering

Estimation of the gradient of the logarithm of a probability density function is a versatile tool in statistical data analysis. A recent method for model-seeking clustering called the least-squares log-density gradient clustering (LSLDGC) [Sasaki et al., 2014] employs a sophisticated gradient estimator, which directly estimates the log-density gradients without going through density estimation. However, the typical implementation of LSLDGC is based on a spherical Gaussian function, which may not work well when the probability density function for data has highly correlated local structures. To cope with this problem, we propose a new gradient estimator for log-density gradients with Gaussian mixture models (GMMs). Covariance matrices in GMMs enable the new estimator to capture the highly correlated structures. Through the application of the new gradient estimator to mode-seeking clustering and hierarchical clustering, we experimentally demonstrate the usefulness of our clustering methods over existing methods.
Exploring the Role of Oral Reading Fluency (ORF) in Reading Instruction: A Classroom-based Study with Engineering Students

Teaching reading is a complicated task as reading entails the simultaneous interaction of various component processes. Learning to read fluently is a crucial part of reading acquisition. Despite research conducted in L1 contexts regarding reading fluency, this area has been relatively unexplored in L2 contexts. In reading fluency research, Oral Reading Fluency (ORF) is an important construct which has been closely associated with the reading comprehension of young learners in L1 contexts. This paper aims to investigate the nature of the relationship between ORF and reading comprehension in ESL learners. If ORF proves to be significantly related to reading comprehension, it would be a valuable addition to reading instruction for ESL learners.
THE ROLE OF SOCIODRAMA IN ENGLISH SPEAKING CLASS

This study aims to improve the process of students’ speaking skill through sociodrama method on students of English Department of STKIP SetiaBudhiRangkasbitung in Banten region. The participants include 33 students in the third semester. This study uses qualitative descriptive to draw the phenomenon in the classroom when sociodrama applied. Class activity, learning material, class structure in applying sociodrama, student’ perception, sociodrama value, and sociodrama tasks are described to understand the class applied by sociodrama. From the research result, it can be concluded that learning by using sociodrama based task is an effective way and provide students to produce language frequently with the groups and grow student’ motivation well.
Innovative teaching practices need of the hour

Before following any teaching technique, it is very important to Learn the Learner and then to implement the teaching technique based on the learner's capability.Hence, I propose Learner -centered Teaching methodology [LCTM] or Student -Centric Teaching Technique [SCTT].Understudy focused adapting, otherwise called student focused training, extensively incorporates strategies for instructing that a shift with the focal point of guidance from the teacher to the students.Learners focused learning scopes individuals interests first, recognizing students voice as key to the learning background.
Creation of an unequally weighted four-mode square cluster state in a ring cavity

Four-mode continuous-variable (CV) cluster states are an important and necessary resource in continuous-variable quantum computation. In this paper, we present a simple and efficient scheme to realize an unequally weighted four-mode square CV cluster state using atomic ensembles driven by seven strong classical laser fields. The scheme requires just a single selection of the appropriate squeezing parameters and pump laser parameters. With the unique squeezing operator and a new unitary transformation, we show that seven laser fields drive four atomic ensembles into a stationary four-mode squeezed vacuum state via the cavity dissipation.
Zero-Resource Multilingual Model Transfer

Modern natural language processing and understanding applications have enjoyed a great boost utilizing neural networks models. However, this is not the case for most languages especially low-resource ones with insufficient annotated training data. Cross-lingual transfer learning methods improve the performance on a low resource target language by leveraging labeled data from other (source) languages, typically with the help of cross-lingual resources such as parallel corpora. In this work, we propose a zero-resource multilingual transfer learning model1 that can utilize training data in multiple source languages, while not requiring target language training data nor cross-lingual supervision. Unlike most existing methods that only rely on language-invariant features for cross-lingual transfer, our approach utilizes both language-invariant and language-specific features in a coherent way. Our model leverages adversarial networks to learn language-invariant features and mixture-of-experts models to dynamically exploit the relation between the target language and each individual source language. This enables our model to learn effectively what to share between various languages in the multilingual setup. It results in significant performance gains over prior art, as shown in an extensive set of experiments over multiple text classification and sequence tagging tasks including a large-scale real-world industry dataset.
Localization patterns of mineralization, age, and sources of substance of the Malomyr gold ore field (Eastern part of the Mongolian–Okhotsk fold belt)

To the best of our knowledge, this study is the first to reliably assess the age of gold mineralization in the Malomyr field (eastern part of the Mongolian-Okhotsk fold belt), one of the best known deposits in the Far East. The obtained data confirmed that the age of the hydrothermal ore process that resulted in the formation of the Malomyr deposit was ~ 134–130 million years and that the age of the postore dykes was 110–104 million years. Data related to the occurrence of magmatism within the region under consideration were not available, which made it impossible to link the ore mineralization of the Malomyr deposit with the magmatic processes. Based on the data obtained in this investigation, the dislocation processes accompanied by the hydrothermal activity that was confirmed using the structural examinations results evidently played a significant role in ore mobilization and redistribution as well as the formation of the Malomyr deposit. The first Rb-Sr and δ34S results of this research indicated that both the “crust” and “mantle” sources were available among the ore sources.
Chewing Monitoring With Bone-Conduction Microphone for Body Area Network

The research described in the paper has developed a system for acquiring, processing, and analyzing the diet-related oral motors and the accompanying body movements, therefore realizes dietary activities monitor. It contains three parts, such as sensor node, mobile client, and server. The mentioned sound is defined as chewing, talking, coughing and silence, while the body movement states are classified as immobile or micro-move, walking, and running. The system is a wearable device that monitors the oral sound activities by recording of and the detection generated during the oral. It also includes an accelerometer to simultaneous records of human body. Bone-conduction microphone is adopted to collect the oral sounds for avoiding noise effects. Hardware system is developed based on special architecture, with respect to the balance between the computing cost, device size, power dissipation and network transmission load. The research proposes a new method to get MFCC coefficients. According to the order, it is assigned in the sensor and server to protect the private information and guarantee parallelism of the data collection and calculation. The oral sound bone-conduction sound database related diet activity is constructed as the training data for the system. Client software uses statistical methods to analyze the oral and body movements derived from it, therefore obtains the user's dietary laws. Through experiments, the optimal configuration parameters of the system are determined. The recognition rate is up to more than 90%. According to the modern medical researches on diet health, a corresponding system is designed and developed to give a quantitative assessment to the personal dietary laws, and visualize the corresponding information to provide users reasonable guidances.
Feature Fusion for Negation Scope Detection in Sentiment Analysis: Comprehensive Analysis over Social Media

Negation control for sentiment analysis is essential and effective decision support system.Negation control include identification of negation cues, scope of negation and their influence within it.Negation can either shift or change the polarity score of opinionated word.This paper present a framework for feature fusion of text feature extraction, negation cue and scope detection technique for enhancing the performance of recent sentiment classifier for negation control.Explore text feature POS, BOW and HT with negation cue and scope detection techniques for classification technique over social media data set.This paper has included the evaluation of sentiment classification (Support vector machine, Navies Bayes, Linear Regression and Random Forest) and Nine feature fusion over presented prepossessing framework.This paper yield interesting result about collective response of feature fusion for negation scope detection and classification technique.Feature Fusion vector significantly increase the polarity classification accuracy of sentiment classification technique.POS with Grammatical dependency tree can detect negation with better accuracy as compared to other feature fusion.
APPLICATION OF DOMAIN SPECIFIC LANGUAGE FOR DESCRIBING AN ONLINE FILE STORAGE SYSTEM

This research Intends to develop an online File Storage/book-bank monitoring system using a well-known Domain Specific Language for Kebbi State University of Science and Technology.It was intended to address the current problems encountered in using a manual system to monitor the activities of the book-banks in Kebbi State University of Science and Technology Aliero library.Interviews, observation and record consultation were used to gather data.The research analyzes the system requirements and then came up with the requirements specifications and system specifications.The system was designed in accordance with specifications to satisfy the requirements.The system designed was implemented with MYSQL, PHP and HTML.The system is designed as an interactive and content management system which deals with data entry, validation and updating while the interactive system deals with system interaction with the users.The system is capable to largely address the problems mentioned in the existing system..
Co-designing Improvements of Knowledge Exchange Tools

This workshop will present and validate the usefulness of a framework for improving knowledge exchange (KE) tools. We propose an improvement framework, where participants collaboratively improve the functions, instructions and flexibility of tools to develop their engagement practices. In this workshop, we will lead participants through a creative engagement activity, where participants will learn through doing how to improve KE tools within a collaborative improvement framework. The potential workshop outcomes are new tool ideas and knowledge as a result of a collective and fruitful experience among participants. Participants will gain new knowledge on how to improve the engagement with groups of non-designers through the improvement of KE tools and other tools, such as participatory tools. Further research involves inviting participants to take part in a research study on the potential applications of the improvement framework to their own work.
Domain and Schema Independent Semantic Model Verbalization: A Conceptual Overview

Semantic Web-based technologies have become extremely popular and its a success that has spread across many domains, additional to the computer science domain.Nevertheless, the reusability aspects associated with the created and available semantic knowledge models are very low.The main bottleneck associated with this issue is, the difficulty associated in understanding the complex schema of a knowledge model created and barriers associated with querying the knowledge models using SPARQL or SQWRL query formulations.This research emphasizes on proposing a verbalizer which can go beyond existing Controlled Natural Language (CNL) type verbalizers and to verbalizer knowledge stored in a knowledge model file written in either RDF or OWL format, despite its domain and schematics.
Competent approach to the formation of modern journalists in modernization of education

The process of formation of a modern journalist is analyzed. The essence of the competent approach to professional training of journalists in the conditions of education modernization is revealed. The most important ways of forming professional skills of journalists in the process of journalistic education, focused on success are outlined. The inextricable link between the cognitive, practical and axiological components in the system of journalistic education is revealed, indicating that the current practice of training journalists the modern education paradigm is consistent
Enhancing the EFL Studentsâ€™ Achievement in Writing Descriptive Text through Think-Pair-Share

The purpose of tis study was to investigate English as Foreign Language (EFL) studentsâ€™ achievement in writing skill (descriptive text) through Think Pair Share method. Therefore, the action research design was implemented to match with the purpose of the study. The techniques of collecting the data were writing test, observation, questionnaire, and interview. The result of the study shows that the studentsâ€™ achievement sustainably improved from the first evaluation, which was 65,50 to second evaluation, which was 75,09 and to the third evaluation, which was 85,50. The score continuously improved from the first evaluation to the third evaluation. Observation result shows that the students gave their good attitudes and responses during teaching and learning process by applying the application of TPS (Think Pair Share) method. Questionnaire and interview report shows that students agreed that the application of TPS (Think Pair Share) method had helped them in writing descriptive text. In conclusion, the application of TPS method significantly improved studentsâ€™ achievement in writing descriptive text
Proposing a Scheme for Human Interactive Proof Test using Plasma Effect

Human Interactive Proofs (HIPs) are automatic inverse Turing tests, which are intended to differentiate between people and malicious computer programs. The mission of making good HIP system is a challenging issue, since the resultant HIP must be secure against attacks and in the same time it must be practical for humans. Text-based HIPs is one of the most popular HIPs types. It exploits the capability of humans to recite text images more than Optical Character Recognition (OCR), but the current text-based HIPs are not well-matched with rapid development of computer vision techniques, since they are either vey simply passed or very hard to resolve, thus this motivate that continuous efforts are required to improve the development of HIPs base text. In this paper, a new proposed scheme is designed for animated text-based HIP; this scheme exploits the gap between the usual perception of human and the ability of computer to mimic this perception and to achieve more secured and more human usable HIP. This scheme could prevent attacks since it's hard for the machine to distinguish characters with animation environment displayed by digital video, but it's certainly still easy and practical to be used by humans because humans are attuned to perceiving motion easily. The proposed scheme has been tested by many Optical Character Recognition applications, and it overtakes all these tests successfully and it achieves a high usability rate of 95%.
Value-Driven use Cases Triage for Embedded Systems: A Case Study of Cellular Phone

A well-defined and prioritized set of use cases enables the enhancement of an entire system by focusing on more important use cases identified in the previous iteration.These use cases are given more opportunities to be refined and tested.Until now, use case prioritization has been done from a user perspective, and through balanced measurement of actors/ objects usage.Lack of cost consideration for realization, however, renders it ineffective for economic purposes.Hence, this study incorporates the "value" concept, based on cost benefit analysis, in use case prioritization for embedded systems.The use case satisfaction level is used as the surrogate for "benefit", and the complexity of implementation for "cost".Based on the value, use cases are prioritized.As a proof-of-concept, we apply our value-based prioritization method to the development of a camera system in a cellular phone.