Reviewerly/exHarmony huggingface dataset:
From Texas to Tibet: 40 years of Systematic Crustal Exploration with Reflection Seismology

Acta Geologica Sinica - English EditionVolume 93, Issue S1 p. 14-14 Plenary Session: Progress and major achievements of deep earth exploration programsFree Access From Texas to Tibet: 40 years of Systematic Crustal Exploration with Reflection Seismology Larry D. Brown, Larry D. Brown ldb7@cornell.edu Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853Search for more papers by this author Larry D. Brown, Larry D. Brown ldb7@cornell.edu Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853Search for more papers by this author First published: 31 May 2019 https://doi.org/10.1111/1755-6724.13906AboutPDF 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 14-14 RelatedInformation
A Field Research on the Practices of High Performance Software Engineering Teams

This paper presents the results of a field research aiming at identifying the practices adopted by High Productivity Software Engineering Teams .This field research was developed through interviews with project managers from several companies with the following objectives: to evaluate the knowledge of the professionals in relation to the characteristics of the high performance teams found in the literature; understand and identify which practices companies use to develop each high performance characteristic; identify the training approaches that are used to improve the professionals in each practice.
LEARNING TO WRITE POETRY BY USING AN ACROSTIC TECHNIQUE ON CLASS X STUDENTS IN SMK

Learning to write poetry by using an acrostic technique on the class X students in SMK. The background problem in this research is that most students are not interested in writing poetry because poetry is considered as difficult; they have difficulty finding imagination and figurative words. The researchers have three research objectives based on this problem. Namely to describe the teachers and students activities when learning to write poetry by using an acrostic technique, to describe students' responses on learning to write poetry using an acrostic technique, to discover the difference between the results of the initial test and the final test in class X students at SMK. In this research, the Pre-Experimental Designs (non-design) method of one group pretest-posttest design is used and a research towards a class with 28 students is conducted. Observations, tests, and questionnaires are used as the research techniques. The results of the data obtained are the increase in student value. The average value before using the acrostic technique is 40.35 and the average value after using the acrostic technique in learning to write poetry is 79.00, the significance value indicates 0,000 based on the t test. The value is smaller than 0.05, thus the data is different from the results of the initial test and the final test. In other words, H0 is rejected and Ha is accepted. Thus, it can be concluded that learning to write poetry using an acrostic technique increases students' ability to write poetry.
CL-Vis: Visualization Platform for Understanding and Checking the OpenCL Programs

Due to GPU's improved hardware performance, many researchers have tried to utilize the GPU for computer vision, image processing, cryptography, and artificial intelligence. As results, the GPU could successfully speed up algorithms from tens to hundreds of times in many cases. However, GPU programming is still known to be difficult because of its different characteristics from the traditional CPU programming. Also, it is hard to find the root causes of software failures because the failures are irreproducible in many cases. Our goal is to simplify the process of verifying intended actions when debugging GPGPU programs. To achieve this goal, we use the visualization method of executed codes because it can increase the human's understanding through seeing and analyzing the real actions by each thread. We developed a platform that can visualize the running OpenCL codes and algorithms that can identify data race, barrier divergence, and infinite loop in the GPU. To the best of our knowledge, this is the first study on the visualizations of OpenCL operations and detection of infinite loops in the programs. We also suggest an algorithm for detecting data race with GPU-specific lock-step execution and barrier function.
Strategies for Recording the Full Seismic Wavefield

Acta Geologica Sinica - English EditionVolume 93, Issue S1 p. 320-320 Session 9: Emerging techniques for deep earth explorationFree Access Strategies for Recording the Full Seismic Wavefield Robert Woodward, Robert Woodward woodward@iris.edu Incorporated Research Institutions for Seismology, Washington, DC 20005Search for more papers by this authorCharles Langston, Charles Langston The University of MemphisSearch for more papers by this authorJustin Sweet, Justin Sweet Incorporated Research Institutions for Seismology, Washington, DC 20005Search for more papers by this authorKent Anderson, Kent Anderson Incorporated Research Institutions for Seismology, Washington, DC 20005Search for more papers by this author Robert Woodward, Robert Woodward woodward@iris.edu Incorporated Research Institutions for Seismology, Washington, DC 20005Search for more papers by this authorCharles Langston, Charles Langston The University of MemphisSearch for more papers by this authorJustin Sweet, Justin Sweet Incorporated Research Institutions for Seismology, Washington, DC 20005Search for more papers by this authorKent Anderson, Kent Anderson Incorporated Research Institutions for Seismology, Washington, DC 20005Search for more papers by this author First published: 31 May 2019 https://doi.org/10.1111/1755-6724.14112AboutPDF 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 320-320 RelatedInformation
Maximal P-simple Sets on (8,4) Pictures

Bertrand proposed the notion of a P-simple set for constructing topology-preserving reductions. In this paper, we define the maximalness of a P-simple set, give a new sufficient condition for topology-preserving reductions acting on (8,4) pictures on the square grid, and it is proved that this condition designates a maximal P-simple set.
Method of Cross-Language Aspect-Oriented Analysis of Statements Using Categorization Model of Machine Learning.

Product reviews are the foremost source of information for customers and manufacturers to help them make appropriate purchasing and production decisions. Today, the Internet has become the largest source of consumerthought. Sentiment analysis and opinion mining is the field of study that analyzes people’s opinions, sentiments, evaluations, attitudes, and emotionsfrom written language. In this paper, we present a study of aspect-based opinion mining using a lexicon-based approach and their adaptation to the processing of responses written in Ukrainian and English. This information helps to build systems to understand customer’s feedback and plan business strategiesaccordingly. This also helps in predicting the chances of product failure. In this paper, it is explained how machine learning can be used for opinion mining. The research methods used in the work are based on data mining methods, Web mining, machine learning, and information retrieval. The stages of the method of cross-language aspect-oriented analysis of statements are presented. The cross-language categorization of characteristics of goods is considered. The algorithm describes the model learning in cross-language virtual contextual documents.
Re-Ranking Web Data Per A Structured Domain

To build a domain-specific knowledge base of web resources, we have to face the challenge of having the computers gather domain-relevant knowledge feeds. We propose a re-ranking algorithm to effectively fetch and re-group the web data crawled by some credited web search engines, to meet the needs. The algorithm studies the structure and semantics of the domain ontology (graph) and constructs computational relations among nodes. After examining matching terms between ontology dictionary and the textual content (text, metadata) of the retrieved documents, we calculate three-dimensional information scores -- distance, direction, and relationship of each document in relation to the query string that corresponds to a node in the ontology graph. Further, we explore the directional relation and study three sub-degrees: granularity, diversity, and generality. Based on the multivariate information degrees, we subsequently re-rank the retrieved documents and provide more meaningful data to the domain space.
JGetMove: Mining Multiple Movement Patterns

Recent improvements in positioning technology have led to a much wider availability of massive moving object data. A crucial task is to find the moving ob jects that travel together. Usually, these ob ject sets are called object movement patterns. Due to the emergence of many different kinds of object movement patterns in recent years, different approaches have been proposed to extract them. However, each approach only focuses on mining a specific kind of patterns. In addition to being a painstak- ing task due to the large number of algorithms used to mine and manage patterns, it is also time consuming. Moreover, we have to execute these al- gorithms again whenever new data are added to the existing database. To address these issues, we first redefine movement patterns in the itemset context. Secondly, we propose a unifying approach, named GeTMove, which uses a frequent closed itemset-based object movement pattern-mining algorithm to mine and manage different patterns. This code is a Java implementation of GetMove called JGetMove.The description of the approach is available at : Nhathai Phan, Pascal Poncelet, Maguelonne Teisseire. All in One: Mining Multiple Movement Pat- terns. International Journal of Information Technology and Decision Making, World Scientific Pub- lishing, 2016, 15 (5), pp.1115-1156.
IMPLEMENTASI METODE USER CENTERED DESIGN (UCD) UNTUKSISTEM INFORMASI GEOGRAFIS UMKM BERBASIS WEB DANANDROID

Salah satu faktor yang mempengaruhi keberadaan suatu sistem adalah faktorkenyamanan pengguna (user experience). Studi ini membahas desain antarmukapengguna (user interface) untuk meningkatkan pengalaman pengguna menggunakanmetode user centered design. Metode user centered design digunakan untukmenentukan tingkat kesesuaian persyaratan sistem dari sisi pengguna. Melalui metodeini, pengguna dapat memberikan saran secara langsung untuk meningkatkan antarmukasehingga desain sistem menjadi lebih mudah dan siap untuk diimplementasikan.Analisis ini dilakukan untuk menentukan tingkat pengalaman pengguna SistemInformasi Geografis Mikro, Kecil dan Menengah (UMKM) dan menyarankan desainantarmuka dan peningkatan selama pengembangan.Sistem Informasi Geografis UMKM adalah sistem yang membantu orang menemukaninformasi produk dari UMKM melalui lokasi, serta membantu UMKM dalammempromosikan produk mereka. Selain itu, sistem ini dapat membantu pelaku UMKMuntuk menemukan bahan baku yang dijual oleh UMKM lain.Studi ini berfokus pada persepsi evaluator dalam hal kemudahan, efisiensi, kemudahanmengingat, kesalahan, dan kenyamanan dari antarmuka pengguna. Hasil dari penelitianini adalah bentuk desain antarmuka pengguna baru berdasarkan hasil analisismenggunakan prinsip user centered design.Kata Kunci : user interface, user experience, sistem informasi geografis, usaha mikrokecil dan menengah, user centered design.ABSTRACTOne of the factors that influence the existence of a system is the user comfort factor(user experience). This study discusses the user interface design to improve userexperience using the user centered design method. The user-centered design method isused to determine the level of system requirements compliance from the user side.Through this method, users can provide suggestions directly to improve the interfaceso that the system design becomes easier and ready to implement. The analysis wasconducted to determine the level of user experience of existing Micro, Small andMedium Enterprise (MSME) Geographic Information System and suggest an interfacedesign and improvement during development.The MSME Geographic Information System is a system that helps people find productinformation from MSME through locations, as well as assist MSME in promoting theirproducts. In addition, this system can help MSME perpetrator to find raw materialssold by other MSME.This study focuses on evaluator’s perceptions in terms of learnability, efficiency, easeof remembering (memorability), errors, and convenience (satisfaction) of the userinterfaces. The results of the study were in a form of new user interface design basedon the results of the analysis using the user centered design principle.Keywords : user interface, user experience, sistem informasi geografis, usaha mikrokecil dan menengah, user centered design.
THE INFLUENCE OF JEOPARDY GAME TOWARDS STUDENTS’ VOCABULARY MASTERY

This research is motivated by the students get difficulties in using the English vocabulary and students needed interesting technique when they learnt English. One of learning techniques that can help students understand about the material is jeopardy game. The purposes of this study are to know Jeopardy Game is influence on the students’ vocabulary mastery and the response of the students’ the learning use Jeopardy game on vocabulary mastery. This research used a quasi-experimental and the research design used is the non-equivalent pre-test post-test control group design. The Research was conducted in SMPN 1 Dawuan. The sample are VIII-A as control class and VIII-B as experiment class. The research instrument that used are test and questionnaire. The result of the research shows; the students’ response to learning by using jeopardy game got a very good category with an average was 65.85% and there is a significant influence between jeopardy game of learning towards students’ vocabulary mastery was 2.4% while the remaining 77.6% is influenced by other factors. Based on the findings, it can be concluded that the application of jeopardy game can not the influence students’ vocabulary mastery. Especially at the first grade student of SMP Negri 1 Dawuan in academic year 2018/2019.
Modeling interferometric measurement error of small radius parts with a phase-shifting Fizeau using the y-y bar diagram

The y-y bar diagram presents the geometrical analysis of the focusing wave with a small radius. It is Introducing the Phase shift in Fizeau the impact the three cases of the small spherical test surface.
Rancang Bangun Sistem Penentuan Jalur Evakuasi Keluar Gedung Rumah Sakit Saat Kondisi Darurat Menggunakan Algoritma Dijkstra Dengan Antrian Prioritas

Disaster is a sudden event, such as an accident or a natural catastrophe, that causes great damage or loss of life. Disasters can occur at any time, therefore a mechanism is needed to evacuate out of the building during a disaster. Generally public facilities have provided instructions and evacuation routes outside the building. Based on the severity of the disaster and the evacuation capability of the victim, the evacuation strategy can range from evacuation as soon as possible, evacuate slowly, move to a safe location inside the building or take refuge in the available protection room and wait for the rescue team to arrive.&#x0D; The algorithm for finding the shortest paths can be used to determine the evacuation route. But this path is still static, if the route damaged in then the evacuation route would become useless. The time for the evacuation process can also increase if the condition of the evacuation route is not known whether damaged or not. The solution to solve this problem is to make a system that can help find the safest and shortest evacuation routes during emergencies. This system consist of microcontroller Arduino Mega to control the system and led for evacuation sign. The evacuation routes is determined by implementing dijkstra algorithm with priority queue to search the shortest path.
Analyzing the Effects of VR&amp;AR Industry on Regional Economic Development : Focused on Guangdong Province in China

Background The virtual reality (VR&AR) industry has been a fast-growing industry in the world since 2015. As a key area in China''s science and technology and entertainment industry, Guangdong Province, accelerating the development of virtual reality industry will be beneficial to the adjustment and optimization of Guangdong''s economic and social structure. Guangdong''s economic and social development is standing at a new historical starting point, from manufacturing to promotion to promote a new round of development. This paper will discuss the role of the virtual reality industry in the Guangdong economy and the development of the industry.Methods Based on previous research papers, government work reports, books and website materials at home and abroad, combined with the author''s many years of work experience in the industry. This study aims to explore the impact of the virtual reality industry on the regional economy and the timing of the future virtual reality industry.Results Although the virtual reality (VR&AR) industry is still in its growth stage, Guangdong, as the bridgehead of the Chinese economy, still plays a pivotal role in the virtual reality field. The development of the industrial chain is complete, from hardware to software, from the beginning to the interactive technology, from online to offline experience stores, from large companies to small enterprises, in various industry sectors, forming a closed-loop business model.Conclusion The virtual reality will be prominent and significant in the overall pattern of regional economic development. It is also an important breakthrough for the development of science and technology culture industry. It will play a huge role in education, entertainment, service, medical care, industry and other fields in the future. Serve the people''s livelihood and promote the construction of modern civilization.
A Convenient Method for Learning to Classify Biomedical and Other Complex Signals based on Neuronal Boolean Complexity

This paper proposes a novel method for fast and compact recognition of biomedical and other complex signals. It is essentially based on decomposing the signal sequences to be recognized into binary strings. Then each binary string is divided into smaller strings corresponding to Boolean functions. Based on complexities for neural implementation of Boolean functions a feature vector is computed by counting the occurrences of functions with certain complexities. Using enough labeled signal sequences, a classifier can be easily trained and then used for the automatic recognition of the signals. To decrease costs, a hardware oriented Extreme Learning Machine is used. Herein, in addition to describing the method, we consider the widely used Bonn dataset for epileptic seizure detection to demonstrate that our method offers good accuracies (more than 97%) with the advantage of very low implementation costs. Given its convenience and simplicity, the proposed method can be easily integrated in low cost portable equipment, to be operated, for instance, in the context of Internet of Things.
Distribution Channel Management and the Control of Fake/Counterfeit Products in Selected Pharmaceuticals Companies in Benue State.

This study evaluated distribution channel management and control of counterfeit products in Nigeria with specific reference to selected pharmaceutical industries in Benue State. The study used mainly primary data obtained by the use of a well-structured questionnaire. The study used multiple regression analysis to test the two hypotheses of the study. The result shows that a negative relationship exist between distribution management and its effect on consumer's accessibility and it is statistically significant (p&lt;0.05) and in line with a priori expectation. Also, the study found that the source of fake and counterfeit product is positively related to distribution channel management but it is not statistically significant (p&gt;0.05). It was concluded therefore that efficient distribution channel management could help to greatly reduce the proliferation of counterfeit products in the health sector. In view of this, it was recommended that laws guiding the regulation of imported and manufactured products should be strengthened to ensure effectiveness by regulatory authorities. Hence, the distribution channels management policies should be an approach to control counterfeit products by instituting on a clear post market surveillance system that will aid the fast identification of counterfeit and other substandard drugs while consumer's access to counterfeit product should be restricted through an efficient distribution channel management.
Project Based Learning Class in Department of Media Arts and Design

The Curriculum of the Department of Media Arts and Design was revised in 2014, following the reorganization of HUS (Hokkaido University of Science). In this curriculum, the “Cycle of Learning” was introduced. The cycle has three steps, “acceptance”, “co-creation” and “recall” and learners can make themselves grow by repeating these steps. In this paper, the importance of PBL (Project Based Learning) classes was described. Because these are the essential elements of the Cycle of Learning. The class practice of “Project Skill III” was described, as an example of the Cycle of Learning.
The MultiStream Implementation: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series

Multiple time series are a set of multiple quantitative variables occurring at the same interval. They are present in many domains such as medicine, finance, and manufacturing for analytical purposes. In recent years, streamgraph visualization (evolved from ThemeRiver) has been widely used for representing temporal evolution patterns in multiple time series. However, streamgraph as well as ThemeRiver suffer from scalability problems when dealing with several time series. To solve this problem, multiple time series can be organized into a hierarchical structure where individual time series are grouped hierarchically according to their proximity. In this paper, we present a new streamgraph-based approach to convey the hierarchical structure of multiple time series to facilitate the exploration and comparisons of temporal evolution. Based on a focus+context technique, our method allows time series exploration at different granularities (e. g., from overview to details). This code is the implementation of Mutlistream that have been used in:E. Cuenca, A. Sallaberry, F. Y. Wang, and P. Poncelet. MultiStream: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series. In IEEE Transactions on Visualization and Computer Graphics, Vol. 24, N. 12, 2018, pp. 3160-3173.