Reviewerly/exHarmony huggingface dataset:
Geometric Cognition Method of Biomimetic Pattern Recognition and Its Application in the Digitalization of Modern Guangdong Customs Archives

This paper puts forward a digitalization model of Modern Guangdong Customs archives based on biomimetic pattern recognition. By introducing biomimetic pattern recognition, the digitalization of Modern Guangdong Customs archives becomes a social production of information network. With this model, we can not only make full use of the wisdom of biomimetic pattern recognition, but also digitalize the Modern Guangdong Customs archives with high efficiency and low cost, thus fully exploring the internal value of these archives. In this paper, firstly, we propose Neuron Model of Digital Biomimetics, and investigate Geometric Sequential Learning Ahead Mask in digitalizing Modern Guangdong Customs archives. Then, we analyze the application of digital biomimetics to the digitalization of Modern Guangdong Customs archives. Finally, we analyze the of comparison of the work cost among Taobao, Professional Institutions, Crowdsourcing and Digital Biomimetics, which proves that the geometric neuron model is reasonable and effective.
Hybrid Feature Based Object Mining And Tagging

Image Tagging are important as far as image search engines/databases are concerned viz. Flicker, Picasa, Facebook…etc. Image Tagging is a difficult and highly relevant machine learning task. Image tagging with algorithms based on ‘Nearest neighbor classification’ have achieved considerable attention on the implementation point of view but at the cost of increasing computational complexity both during training and testing. In the existing approaches used single object based tagging. In this research paper we are going to discuss different research related to object mining and tagging. As far as there are shape, color and texture feature are impotent to describe object. The proposed system firstly use KNN for tagging different object features for training. Using color moment, shape and gray level co-occurrence matrix (GLCM) as a texture feature. After that system will use adaboost classifier for classification of objects and final image represented by different object tags.
Bitcoin and gold prices: A fledging long-term relationship

This study applies threshold regression model in a bivariate framework to explore the nonlinear and long-term relationship among daily Bitcoin and gold prices over the period April 2010 to December 2018. Our empirical results are threefold: first, we show that gold is a significant predictor of Bitcoin prices. Second, we find evidence of a non-linear relationship between Bitcoin and gold prices characterized rather by a two-regime relationship with a structural break occurring in October 2017. Third, we explain the existence at before the break, there is statistically significant, negative but weak causality indicating that Bitcoin is a speculative asset. However, after the break, the relationship becomes positive and strong revealing the diversifier and hedge properties of Bitcoin.
The Moderating Effect of Improving Participant's Satisfaction Level and Quality of Life in the Relationship between Lifelong Learning Organization Support and Learning Circle Activation

이 연구는 평생학습기관의 어떠한 지원내용이 동아리 활성화에 영향을 미치는가를 분석하고, 활동에 대한 학습자의 만족수준과, 학습자가 참여를 통해 얻는 삶의 질 개선 정도 두 요인이 활성화에 미치는 효과를 구체화하는 것을 목적으로 한다. 이를 위해, 평생학습기관의 학습동아리 참여자를 대상으로 조사를 시행하였으며, 지역을 통제한 상황에서 지원내용에 대한 다중회귀분석과 만족수준 및 삶의 질 개선 정도에 대한 조절회귀분석을 시행하였다. 그 결과, 학습동아리에 대한 기관의 긍정인식과 중요성 인식, 기관장의 관심, 회원모집을 돕는 정도, 봉사할 수 있도록 하는 안내 등 5개의 변인이 학습동아리 활성화에 영향을 주는 것으로 도출되었다. 다음으로, 참여학습자의 동아리 만족수준 및 삶의 질 개선 정도의 조절효과를 분석해본 결과, 만족수준은 학습동아리 활성화에 기여하지만 기관의 지원내용과 상호작용하는 조절효과는 없는 것으로 나타났으며, 삶의 질 개선 정도는 기관의 학습동아리에 대한 관심이 높은 상황에서 오히려 활성화를 저해하는 것으로 나타났다. 따라서 지원기관은 학습동아리의 자율성과 성장단계 등을 고려하여 구체적이고 단계적으로 지원사항을 조절할 필요가 있다.This study aimed to analyze the influence of lifelong learning institution’s supporting contents on the activation of learning circles, and specified the effects of the two factors - satisfaction level with learning circles and quality-of-life improvement obtained through participation - on activation. For this, the study tracked lifelong leaning-support agency’s learning-circle participants, and in the situation that regions were controlled, conducted a multiple regression analysis on supporting elements and moderator regression analysis on satisfaction level and quality-of-life improvement. As a result, five variables which have an effect on learning-circle activation such as positive and importance perception of organization, president s interest, level of helping recruit new members and guidance for learning circles to serve etc. To the next, the results of analyzing the satisfaction level and moderate effects of quality-of-life improvement indicated that the moderate effect of a circle s satisfaction contributed to the activation of learning circles, but that there were not the regulation effects of interaction with the support agency s support contents; however, that quality-of-life improvement rather hindered the activation in the situation that agencies interest in the circles was high. Accordingly, it is necessary to control specific and phased support considering the autonomy, growth stage, etc. of learning circles in the process of supporting learning circles.
Podcast: At 97, John Goodenough’s work is not done

Without fail, the name John Goodenough crops up during Nobel Prize season. Many scientists believe he’s deserving of chemistry’s top honor. The University of Texas at Austin materials scientist is credited with developing a material that led to mass commercialization of lithium-ion batteries, the technology that powers our smartphones, laptops, electric vehicles, and other gadgets big and small. Though Goodenough, aged 97, hasn’t yet won a Nobel Prize, he’s not mired down by what could have been. He is renowned for his scientific accomplishments, warm personality, and infectious laugh. In this episode of Stereo Chemistry, C&EN reporter Mitch Jacoby joins cohost Kerri Jansen to tell the story of how a former meteorologist with a background in physics came up with a key material that enabled an electronics revolution and how he continues to pursue big questions in electrochemistry today. Listen at cenm.ag/goodenough.
Invited Talk 3: Computational Modeling in Human-Computer Interaction

The proliferation of personal, mobile, and wearable devices and smart environments outfitted with precision sensors enabled tracking and collecting staggering amounts of human behavior traces data about people and their environments. For example, fitness trackers count each step we take, web search engines process and store each Internet search we make, social media sites record each personal connection we establish and each message we post, map and navigation applications record each place we visit. This offers a new source of data to study human behavior at scale and create future User Interfaces that can automatically reason about and act in response to people's behaviors. However, it is not immediately obvious how to: 1) explore such large amounts of heterogeneous and unlabeled data stored in behavior logs to understand people's behaviors, and 2) leverage it to build future User Interfaces. One promising solution, that addresses both challenges above, is computational modeling, which mathematically encodes a complex system (such as cognition, behaviors, and environments in which behavior is situated) to explore the system and act in response to modeled behaviors through simulation and prediction. In this talk, I will present a methodology that formalizes people's behaviors in a mathematical explanation encoded as a computational model. I illustrate the applications of computational models of human behavior in domains of Computational Interaction, Behavior Data Analytics, and Behavior-Aware User Interfaces. I conclude with a vision for modeling the human accurately across domains as a theoretical foundation for work in Human-Computer Interaction in which computational models enable us to study, describe, and understand complex human behaviors and support design, optimization, and evaluation of user interfaces.
Principles and Stages of the Process of Musical Education of an Individual

The article discusses ways to increase the effectiveness of musical and aesthetic education. The principles of the unity of musical education and the general artistic and aesthetic development of the individual are analyzed.
An Evaluation of an English Coursebook “When English Rings The Bell”

This study aimed to evaluate an English course-book for eight graders entitled “When English Rings the Bell” published by the Ministry of Culture and Education of Indonesia in 2014. The study discussed what the teachers perceived as a good quality course-book and what recommendations they expected for the improvement of the course-book. The study was carried out in Bengkayang District. It employed a mixed-method with 15 English teachers as the research subjects. It applied the convenience sampling method and collected data using a questionnaire designed based on Tomlinson’s course-book evaluation framework and analyzed by interpreting the subjects’ answers. The finding revealed that the teachers perceived the course-book positively with some recommendations for its improvement.
Image Colorization Based on GSVD and YCbCr Color Space

Colorization the gray image is the process of adding colors to the gray image without prior knowledge about the real colors of image. In general, the term and process of colorization is an active area of many research, and challenging for many researchers. In this paper we suggest new method for automatic colorizing gray image depending on using generalized singular value decomposition (GSVD) algorithm with YCbCr color space. Up to our knowledge this the first work uses the GSVD algorithm in this field. We suggested to use reference color image. Both reference image and gray image transformed to YCbCr color space (gray image converted to 3D image by redundant the gray image three times). GSVD applied for each block from gray image with all blocks from reference image (converted to gray image) to find the best blocks can be combines together from both reference image and gray image. The (Y, Cb, Cr) from YCbCr color space of gray and reference images combines together (Y channel corresponding to block of gray image combine with (Cb and Cr) channels from block corresponding to reference image). This process continues for all blocks of gray image. Finally, the resulted image (YCbCr image) transform to RGB image (colorized image). The results were promised and dependable.
The Role of Instagram in Establishing Indoglish at A Vocational School

Social media has an influence on language changes in society which has created the formation of Indoglish culture especially among vocational students.One of the most popular social media for the public is Instagram.The purpose of this study was to reveal the use of Indoglish among students at Muhammadiyah 2 Vocational School of Surakarta.The method used was descriptive qualitative.The research data was retrieved from Instagram.Data analysis techniques used the interactive models of Miles and Huberman which consisted of four stages, namely data collection, data reduction, data analysis, and verification or drawing conclusions.The data collection technique used purposive sampling with a contextual approach.The results of this study indicated that the vocabularies or terms among the students which were popularized by Instagram social media were: (DM) direct message, (Follback) Follow Back, Endorse, Story, Status, Promote, Netizen, and Caption.In depth, this research led to three findings, they were 1) terms or vocabularies in foreign language (English) existing in social media, 2) the formation of Indoglish in the vocational school context and 3) the examples found in the vocational school.
Профессиональная инициативность как значимое качество личности будущего педагога

THE PROFESSIONAL INITIATIVITY AS A SIGNIFICANT QUALITYOF THE PERSINALITY OF THE FUTURE TEACHERА. KOVZUT, A. CHEKINA
APLIKASI SISTEM CERDAS GUNA MENDUKUNG DAN MEMPERCEPAT PROSES PEMILIHAN KEPALA DESA ELEKTORONIK MODERN PEMILU (EMPEMILU) STUDI KASUS DI DESA BEJI KECAMATAN KEDUNG BANTENG KAB. BANYUMAS

The election of the Village Head was very directly highlighted by the surrounding community, from the way of employment, budget use and so on. Pilkades in each region, especially in the Village of Beji Banyumas, will be held by a choice of the Village Head for choices in 2019 after the presidential election is held. The general election of the Village Head in Beji still uses the same paper as the general election, this makes a waste of budget because the unused paper will be discarded, the unused rooms will be kept for 5 years, the calculation of the election results is not fast enough. The Election Smart System is the solution where the workings of this System are done using sophisticated computers, including the Touch Screen Screen used to select Candidate Images, Face detection cameras are used for attendance attendance if it is going to the selection booth, DasHboard Diagrams are used to see the results of prospective candidates the winner will be directly displayed on the big screen to be seen by all those who want to know the most votes from the candidates, all the above facilities are run by computers, so there is no interference from the KPU or individuals who will misuse prospective voter data.
Benchmarking Entity Linking for Question Answering over Knowledge Graphs

Entity Linking (EL) is the process of anchoring a part of a question to a node (entity) already known in a Knowledge Base (KB). Although EL has been widely studied with large documents such as webpages, there have not been studies about its impact on Question Answering (QA). In this paper, we study benchmarks for QA and how they are composed, providing insights about its suitability for a real evaluation about the state of the art in QA, specillay if we want to take into account the subtask of EL. We propose a semi-automatic method to generate an EL dataset linked to the QA task taking advantage of pre-existing QA datasets. We apply this method to benchmarking QA collections, analyze the results and release the created dataset to the research community, including a subset focused on complex EL in QA. We believe that EL eectiveness in the context of QA can be better assessed through the use of the proposed dataset.
Klasifikasi Batubara Berdasarkan Jenis Kalori Dengan Menggunakan Algoritma Modified K-Nearest Neighbor

Coal is a sedimentary rock containing the main elements Carbon (C), Hydrogen (H), and Oxygen (O). Examination of coal samples in the laboratory according to company operational standard based on Air Dried Basis (ADB) are the amount of water, ash content, flying substance, solid carbon, sulfur, and Gross Calorific Value. At PT. Pancaran Surya Abadi Anggana Subdistrict Kutai Kartanegara, coal is classified based on its calorie type namely Antrachite, Bituminous, and Sub-Bituminous. In this research Modified K-Nearest Neighbor (MKNN) Algorithm is used to predict the classification. The k-Fold Cross Validation technique is used to obtain the optimal K value on MKNN Algorithm for accuracy. A measurement based on this research, the K-Optimal value used in MKNN Algorithm for coal classification in PT.Pancaran Surya Abadi is 3-NN. The value of K = 3 produces the prediction accuracy of Coal Classification based on the type of calories in PT.Pancaran Surya Abadi on 100% testing data
Penentuan Tingkat Kerusakan Peralatan Labor Komputer Menggunakan Data Mining Rough Set

Equitments of computer laboratory have a function as an important tools in supporting pratical lecturing. These facilitiesshould always be on a condition like ready are proper to use both computers and others. To avoid equipment detriment, it is necessary to do early identification in which prevent the worse condition of equitments. The method use in this study is roughset method wich consists several stages such as Decision System, Equivalence Class, Discernibility Matrix, DiscernibilityMatrix Modulo D, Reduction, and Generate Rules. From this study, it was found that 14 rules in making decisions for equipments treatment of computer laboratory such as use, repair and replace. Thus, this mrthod is very capable indetermining the detriment level of laboratory equipment
PENERAPAN MODEL PEMBELAJARAN LEARNING CYCLE TERHADAP KEMAMPUAN MENULIS TEKS BERITA OLEH SISWA KELAS X SMA KAMPUS FKIP PEMATANGSIANTAR

Abstrak. Penelitian ini bertujuan: (1) untuk mendeskripsikan rendahnya kemampuan menulis teks berita siswa kelas X SMA Kampus FKIP Universitas HKBP Nommensen Pematangsiantar sebelum menggunakan model pembelajaran learning cycle ; (2) untuk mendeskripsikan peningkatan kemampuan menulis teks berita dengan menggunakan model pembelajaran learning cycle . Sampel penelitian ini berjumlah 30 orang siswa, dan menggunakan desain penelitian one group pre-test-post-test, dan menggunakan metode pra-eksperimen dengan uji statistik uji perbedaan mean sampel berhubungan. Dari analisis data diperoleh nilai t hitung = -17,16> t tabel =2,045 pada taraf signifikan 0,05. Dengan demikian Ho ditolak dan Ha diterima. Maka dapat disimpulkan bahwa penerapan model pembelajaran learning cycle baik untuk meningkatkan kemampuan menulis berita siswa kelas X SMA Kampus FKIP Pematangsiantar. Kata Kunci: Learning Cycle , Menulis, Berita Abstract . This research was conducted at the FKIP Campus High School HKBP University Nommensen Pematangsiantar for four months namely September-December . This study aims: (1) to describe the low ability of writing news texts for class X students of FKIP Campus HKBP University Nommensen Pematangsiantar before using the learning cycle learning model; (2) to describe the improvement in the ability to write news texts using the learning cycle learning model. The sample of this study was 30 students, and used a one-group pre-test-post-test research design, and used a pre-experimental method with a statistical test to test the difference in sample mean. From the data analysis, the value of tcount = -17.16> ttable = 2.045 at the significant level of 0.05. Thus Ho is rejected and Ha is accepted. Then it can be concluded that the application of the learning cycle learning model is good for improving the ability to write news for class X students of SMA Pematangsiantar FKIP. Keywords: Learning Cycle, Writing, News
Long Short-Term Memory Models

In this chapter, you will learn about recurrent neural networks and long short-term memory models. You will also learn how LSTMs work and how they can be used to detect anomalies and how you can implement anomaly detection using LSTM. You will work through several datasets depicting time series of different types of data such as CPU utilization, taxi demand, etc. to illustrate how to detect anomalies. This chapter introduces you to many concepts using LSTM so as to enable you to explore further using the Jupyter notebooks provided as part of the book material.
Ethical Questions in Name Authority Control

Authority control is not a field of cataloging in which monographs are terribly common—the ethics of cataloging even less so. Ethical Questions in Name Authority Control, as a search of an online c...
SSSD-LB:SRNN based Secure Slotted Dynamic Load Balancing Scheme

A tremendous growth of IT world and internet technologies has raised the requirement of efficient, secure utilization of loads, which is a new complex challenge for Cloud Service Providers. Encryption technique plays here an essential role in securing the loads as well as the cloud environment. One of the efficient ways to achieve the goal above is to make an SRNN based Slotted Dynamic Load Balancing System. This paper presents the SRNN based Secure Slotted Dynamic Load balancing scheme which combines the Slotted Dynamic Load Balancing Algorithm with the security of asymmetric key cryptographic SRNN algorithm. The proposed approach includes slotting incoming loads along with security mechanisms where each slot is individually encrypted by its corresponding public key provided by the CSPs.
Land registration and 'disruptive' (or 'trustworthy'?) technologies: Tokenisation of immovable property

After a brief description of the impact of the Fourth Industrial Revolution on land registration law and some of the questions raised by these developments, an attempt was made to find tentative answers. The focus was particularly on Distributed Ledger Technology, blockchains and smart contracts. “Blocks” can not only contain monetary value (the “Bitcoin”), but also represent value of an underlying asset. Here we pass to the digital economy and, more specifically, to the token economy. A first analysis was offered as to how tokenisation may affect land registration and first answers were provided, also looking at the recent trusted technology legislation in Liechtenstein. Although much is still uncertain, a more positive approach as can be found in the law of Liechtenstein, where the new IT technologies as a matter of principle are called “trustworthy”, seems to be more productive than negatively qualifying these technologies as “disruptive”. Unfortunately, the Liechtenstein Act excludes tokenization of immovable property, at least in the Principality itself. It will be worthwhile to watch developments.
Scalable Machine Learning through Approximation and Distributed Computing

Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive dataset ...
LibGuides: ENC1102 Powley OER: Satire

Resources for Dr. Tammy Powley's English Composition II open educational resource course at Indian River State College.
현대 중국어 수량N1+VP+수량N2 구문 연구 - 구문상속 개념을 통한 일반화 관계 포착

This paper assumes that the form of quantity N1+VP+quantity N2 is the construction of the construction grammar, and attempts to capture the generalization that exists between the different types of quantity N1+VP+quantity N2 construction.Based on existing studies and various examples, we classified quantity N1+VP+quantity N2 construction into seven categories according to their semantic roles. We tried to find out the prototype construction among these, and we argued that type 1 is the prototype construction. There are four grounds for an argument. First, Type 1 is the greatest in terms of the significance of the foreground-background reversal phenomenon. Quantity N1+VP+quantity N2 construction arranges participants differently from our common sense. This marked arrangement implies a specific intention, we can regard the intention as ''available''. Thus, the degree of foreground-background reversal phenomenon has an important status. Second, the type 1 matches the number of construction argument and the number of verb''s argument, whereas type 4 does not. The the number of construction argument and the number of verb''s argument must be matched. Third, there were many verbs that had as a mandatory argument in many types. This can be seen as the result that type 1 is a prototype construction and it has been extended to other constructions. Fourth, Type 4 is also the same as type 1 in that it is in the order of ''object +V+human''. In other words, type 4 was derived by type 1.We discussed the construction argument of the quantity N1+VP+quantity N2 construction. Although the use or user argument is not a general argument, it was discussed why setting up such argument is necessary and on what grounds it could be established.This paper also discussed the systematic relationship existing among the seven types of quantity N1+VP+quantity N2 construction based on the construction inheritance.As a result, we found out the quantity N1+VP+quantity N2 constructions are organically related to each other through polysemy link. The prototype quantity N1+VP+quantity N2 construction is their template, and they were derived and developed through this prototype construction.