Reviewerly/exHarmony huggingface dataset:
Boom, Bust, and Bitcoin: Bitcoin-Bubbles As Innovation Accelerators

Bitcoin represents one of the most interesting technological breakthroughs and socio-economic experiments of the last decades. In this paper, we examine the role of speculative bubbles in the process of Bitcoin’s technological adoption by analyzing its social dynamics. We trace Bitcoin’s genesis and dissect the nature of its techno-economic innovation. In particular, we present an analysis of the techno-economic feedback loops that drive Bitcoin’s price and network effects. Based on our analysis of Bitcoin, we test and further refine the Social Bubble Hypothesis, which holds that bubbles constitute an essential component in the process of technological innovation. We argue that a hierarchy of repeating and exponentially increasing series of bubbles and hype cycles, which has occurred over the past decade since its inception, has bootstrapped Bitcoin into existence.
COMPETENCIES: PERMANENT VALUE AND BASIS FOR UNIVERSITY PROFESSORS’ TRANSFER OF KNOWLEDGE

Universities have three main functions: to conduct research, offer scientific and professional education, and be at the society‘s service in solving problems which are of huge importance to the local and global community. Therefore, university professors are expected to possess the competencies necessary to do research, learn and teach, apply new knowledge in solving social problems, and perform administrative jobs. The aforementioned competencies, despite needing constant training, are university professors‘ permanent value and the basis for the acquired knowledge and skills transfer. University professors‘ career development is primarily dependant on published research, although a good researcher is not necessarily a good professor or administrative professional, thus confirming that the discrepancy among the teaching, research and administrative work is still present. On the one hand, the fast development in different scientific and technological fields, various economic and social problems, new knowledge in psychology and neuroscience, an increased number of students and their high heterogeneity, as well as the globalisation of higher education, demand for more attention to be paid to the quality of teaching and learning at universities. On the other hand, the range of teaching obligations does not let academics spend sufficient time doing research. According to numerous international research on the university profession, academics are not only expected to be successful researchers and professors, but take over numerous administrative and managerial roles. Namely, former basic activities, teaching and research, are today only a part of the wide spectrum of activities performed by university professors in Croatia.This pilot study aims to determine university professors‘ attitudes to competencies necessary to work at a university. A questionnaire was constructed for the needs of this research, and the obtained results established the reliability α=0.808 measured by the Cronbach‘s Alpha coefficient. The research was based on a quantitative and qualitative methodology encompassing the analysis of relevant literature and survey of professors‘ attitudes. For the descriptive and factor analysis of data the SPSS statistics software package was used. Results show that respondents consider all the mentioned groups of competencies important.
Can Webometrics Predict the Academic Rankings of Institutes?

Webometrics can be used for understanding the quantitative aspects of web resources. The present study investigates the role of webometrics in determining the academic ranking of the institute. The extensive research was conducted on a sample of 59 reputed academic institutes based out of India. The data was analysed using two techniques viz. linear regression and classification and regression tree. From the results of the study, it was found that among all the webometrics parameters, Alexa rank and Semrush rank of the website was found to be the most crucial factor for determining the academic ranking of the institute. The study has insights for policymakers of the institute as the results of the study can be used for devising various ways to improve the webometrics parameters in order to enhance the academic ranking of the institute.
LibGuides: OneSearch: The Library Discovery Tool: Basic Search

This guide is here to help the Cal State LA campus become more familiar with the library discover tool and how it works.
On Pollard's rho method for solving the elliptic curve discrete logarithm problem

Cryptosystems based on elliptic curves are in wide-spread use, they are considered secure because of the difficulty to solve the elliptic curve discrete logarithm problem. Pollard's rho method ...
Perspectives on Documenting Methods to Create Ocean Best Practices.

This perspective outlines how authors of ocean methods, guides, and standards can harmonize their work across the scientific community. We reflect on how documentation practices can be linked to modern information technologies to improve discoverability, interlinkages, and thus the evolution of distributed methods into common best practices within the ocean community. To show how our perspectives can be turned into action, we link them to guidance on using the IOC-UNESCO Ocean Best Practice System to support increased collaboration and reproducibility during and beyond the UN Decade of Ocean Sciences for Sustainable Development.
Study on Automatic LED Monitoring System for Data Center Devices

Monitoring is an essential process of data center operation. There are some common methods to detect data center device corruption or any type of intrusions in the operation. The best practices of monitoring data center are ensuring physical features of data center environment such as room temperature, humidity, and usage of the central processing unit (CPU) and storage of the machines which is used for hosting user services. Due to exceeding varieties of physical feature combination in data center environment, data center managing organizations cannot fully monitor it and experience unexpected conditions from time to time. Many organizations who manage data center also apply visual monitoring of Light Emission Diode (LED) indicators of devices with human interaction which takes large amount of cost and labor to reduce service interruption occurrences. In this paper, we present the concept and experimental results of an automatic monitoring system for data center devices. The concept of the automatic monitoring system is based on monitoring frequency of flickering LEDs of the device method. To evaluate performance of the automatic monitoring, we applied it to video recording of flickering LED of server device. During the implementation stage, we successfully located LED position from frame images and visualized series duration time of flickering LEDs. The experimental results present evaluation of the proposed method.
AUDIT SISTEM INFORMASI PENJUALAN BARANG PADA PT ALLWARES SOLUTIONS MENGGUNAKAN METODE FRAMEWORK COBIT

In general, every company has buying and selling transactions of goods to consumers. PT Allwares Solutions, which is a company engaged in general supplier selling ship engines, spareparts and industrial equipment in Batam, has been implementing information systems related to sales. This company already has a sales information system using GF Accounting. However, it’s not known that there are problems in the system because there are frequent errors in the system because the location of the GF Accounting placement isn’t read by the system, and items are exchange for other items due to inaccurate data management. In addition. The purpose of this research is to see the maturity level of the sales information system at PT Allwares Solutions by using COBIT 4.1 the authors use the framework of COBIT 4.1 with a focus on the DS domain which consists of the DS1, DS3, DS4 and DS5 domains. The results of the analysis of the level of maturity show that the information system regarding sales at PT Allwares Solutions is at level 3 with a process that is determined by status, which means that PT Allwares Solutions has accurately measured the allocation of IT costs for the company's business.
Convergence Properties for Different Null Space Bases When Solving the Initial Margin Optimization Problem Using CMA-ES

This thesis evaluates how the evolutionary algorithm CMA-ES (Covariance Matrix Adaption Evolution Strategy) can be used for optimizing the total initial margin for a network of banks trading bilate ...
Detecting Cycles in GraphQL Schemas

GraphQL is a database handling API created by Facebook, that provides an effective al-ternative to REST-style architectures. GraphQL provides the ability for a client to spec-ify exactly what data ...
LibGuides: Current Awareness: Social media

This guide aims to get you started with a selection of current awareness services to help you stay up-to-date in your research field.
The List of Articles in The Mae-il Sinbo(1910~1914) Related to the Catholic Church in Korea

초록·키워드 목차 오류제보하기 등록된 정보가 없습니다. 1. 교구2. 본당3. 선교회·수도회4. 단체5. 교육6. 자선7. 교회사8. 국제9. 토지10. 통계11. 전시 동원12. 기타
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering

With the powerful learning ability of deep convolutional networks, deep clustering methods can extract the most discriminative information from individual data and produce more satisfactory clustering results. However, existing deep clustering methods usually ignore the relationship between the data. Fortunately, the graph convolutional network can handle such relationship, opening up a new research direction for deep clustering. In this paper, we propose a cross-attention based deep clustering framework, named Cross-Attention Fusion based Enhanced Graph Convolutional Network (CaEGCN), which contains four main modules: the cross-attention fusion module which innovatively concatenates the Content Auto-encoder module (CAE) relating to the individual data and Graph Convolutional Auto-encoder module (GAE) relating to the relationship between the data in a layer-by-layer manner, and the self-supervised model that highlights the discriminative information for clustering tasks. While the cross-attention fusion module fuses two kinds of heterogeneous representation, the CAE module supplements the content information for the GAE module, which avoids the over-smoothing problem of GCN. In the GAE module, two novel loss functions are proposed that reconstruct the content and relationship between the data, respectively. Finally, the self-supervised module constrains the distributions of the middle layer representations of CAE and GAE to be consistent. Experimental results on different types of datasets prove the superiority and robustness of the proposed CaEGCN.
Freedom of Expression in the Age of Online Platforms: The Promise and Pitfalls of a Human Rights-Based Approach to Content Moderation

In today’s digital public sphere, individuals have little choice but to participate on online platforms, whose design choices shape what is possible, content policies influence what is permissible, and personalization algorithms determine what is visible. Ensuring that online content moderation is aligned with the public interest has emerged as one of the most pressing challenges for freedom of expression in the twenty-first century. Taking this challenge as its focus, this Article examines the promise and pitfalls of a human rights-based approach to content moderation—with a specific focus on the choices and challenges that online platforms are likely to confront in adhering to their corporate responsibility to respect human rights in this context. The Article examines three dimensions of a human rights-based approach to platform moderation in particular: a substantive dimension, encompassing the alignment of content moderation rules with international human rights law; a process dimension, encompassing the standards of transparency and oversight that platforms should implement as part of their human rights due diligence processes; and a procedural-remedial dimension, encompassing the procedural guarantees and remediation mechanisms that platforms should integrate within their systems of content moderation. The Article concludes by reflecting on some of the limits of the human rights-based approach and cautioning against viewing human rights as a panacea.
RE-WAFER (REUSABLE WATER FILTER) FILTER AIR TEPAT GUNA BAGI MASYARAKAT SEKITAR TPST PIYUNGAN

Piyungan landfill in Yogyakarta province has been polluting the surrounding groundwater. The local people complained about the quality and the smell of the groundwater. The sample of Piyungan groundwater showed a high COD contaminant, the smelly odor, yellowish color, and salty taste. One method that can reduce levels of contaminants in the water is filtration. Re-Wafer is a reusable water filter using plastic bottles and materials such as cloth, gravel, charcoal, zeolite, and silica. This study aimed to detect the contaminants in the groundwater and to test Re-Wafer to filter the groundwater. The variables were chemical and physical parameters Fe, COD, organic substances, pH, and hardness. The research used a experimental method with pre and post-test. Water samples were collected from the groundwater of closest residents to the Piyungan landfill (+4KM). Five water samples (200 ml) were filtered in the Re-wafer twice. The result showed that the pre-test parameters indicated the levels of Fe 0.864 mg/L, COD 28.608 mg/L, Organic Substances 8.534 mg/L, Ph 6.978, and Hardness 370.28 mg/L. COD level was higher than the Indonesian standard. After filtration, there was a significant decrease in COD 15,872 mg/L (p=0.011) complying the standards and Fe 0.56 mg/L (p=0.009), while other parameters complied with the standard and did not show a significant difference. The physical water parameters also showed a better odor, taste, and color. In conclusion, Re-wafer is an applicable water filter that can be used to increase the quality of Piyungan grounfwater and reduce the COD contaminant in Piyungan groundwater.
Automatic Hybrid Mathematical Word Problem Solver

Math Word Problems (MWPs) are mathematical problems in which significant information is presented in natural language rather than in mathematical notations. Word problems often narrative of some sort, they are also referred to as story problems and may vary in the amount of language used. The proposed system is built as a combination of a verb classification model, an encoder-decoder model, and a regular expression model that takes math word problem as input and generates the corresponding math expression as output. The proposed system also has the ability to categorize whether the given input is an interrogative math word problem or not, it helps to avoid unnecessary non-word problems to the hybrid system. Verb classification model used here is trying to solve some kind of word problems which are in proper syntactic format and the encoder-decoder model can solve all kind of word problems with the help of recurrent neural network. A regular expression model also takes part in the model to identify and solve outlier mathematical expressions. This proposed system only tries to solve math word problems that contain fundamental operators. It provides a way to handle multiple concepts in the same problem while, at the same time, supporting the interpretability of the answer expression. The proposed hybrid system outperforms previous state-of-the-art methods.
Empirical investigations on quantifier scope ambiguities in German

The paper presents the results of a novel experimental study on inverse scope readings in German, which are considered to be possible only under highly constrained conditions in prior literature (Frey 1993; Pafel, 2005; Bobaljik & Wurmbrand, 2012). We show that inverse scope readings are in fact possible in canonical main clauses with an -subject QP preceding and c-commanding an -object QP under verum focus, with the potential of object- scrambling over the subject. The existing literature on quantifier scope in German is unanimous in claiming that inverse scope is impossible in this configuration. Our findings are line with previous experiments on German that found inverse readings to be available in other syntactic configurations (e.g. Bott & Rado, 2007; Rado & Bott 2011; Bott & Schlotterbeck, 2015). Moreover, the availability of inverse readings is boosted when the context biases towards them, a finding which is compatible with previous evidence suggesting that context plays an important role in scope ambiguity resolution (Kurtzman & MacDonald, 1993; Saba & Corriveau, 2001; Villalta, 2003; Reinhart, 2006). Our results also suggest that inverse readings are not banned from relative clauses, a result that is incompatible with the assumptions that relative clauses are islands, and that inverse scope interpretations are obtained via the covert movement operation QR in syntax. Finally, we show that scope interpretation strategies differ drastically between speakers of the same language, in line with introspective judgments.
수요자 중심의 산업안전보건교육 과정 개발을 위한 요구분석 -관리감독자 정기안전보건교육을 중심으로-

Objectives: The purpose of this study is to suggest a direction for consumer-oriented curriculum development by analyzing the priorities of subjects and their preference for educational methods.Methods: The participants included 773 management supervisors and education practitioners in the workplace, and a survey was conducted from April 17 to August 30, 2019. Frequency analysis, t-test, Borich’s Needs Analysis, and Locus for Focus Model analysis were performed using Microsoft Excel 2019 and IBM SPSS 21.0.Results: The highest perceived priorities for education subjects were as follows: ① ‘CPR and First Aid Practice’ and ‘Occupational Disaster Prevention and First Aid Basics’ in the manufacturing industry; and ② ‘Emotional Labor and Job Stress Prevention’, ‘Occupational Disaster Prevention and First Aid basics, and ‘Musculoskeletal Disorder Prevention’ in the service industry. ‘Collective education’ was the most preferred method of education. ‘School-type’ was preferred for the seating arrangement, and the proper number of trainees was considered to be about 30. Respondents said the contents of the education was a top priority when they applied for education, and curriculum and appropriate textbooks should be considered in calculating the cost of education.Conclusions: Practical subjects and subjects related to major hazards by industry were required for management supervisor education. It was proposed in this study that the contents and operating methods of education be changed so that workers can easily comprehend essential subjects such as the Occupational Safety and Health Act. In conclusion, it is necessary to design the curriculum and apply educational methods suitable for each subject’s characteristics in consideration of the priorities for subjects reflected in the needs of trainees.
Dispositivi grafici e spaziali nella decifrazione di scritture antiche: la scrittura cuneiforme

Grotefend’s decipherment of the cuneiform writing system in the early 1800s presents exemplary characteristics of all unknown deciphering writing processes. The decipherer formulates risky hypotheses, completely devoid of evidence, formulating general laws and specific hypotheses based on his personal intuition starting from a minimum basis of historical and cultural knowledge on the civilization that used this writing. In other words, it follows exactly the logical procedure called creative abduction by Peirce, of which it is indeed an exemplary case. From these hypotheses the decipherer draws consequences that he considers established, even without having any confirmation, and formulates other chain hypotheses, up to the final finding of the discovery of a certain empirical datum that validates the whole chain of reasoning formulated. This process is entirely visual. The identification of sequences of symbols and characters as words and the identification of their meaning are carried out based on the observation of the recurrences and frequencies of use, and the position of the symbols in the line and in the text, as well as on the basis of the circumstances of use (place, form and position of the writing medium) that collaborate in determining the semantic, morphological and lexical interpretation of the text. On the other hand, the phonetic interpretation of writing has little relevance: sound and pronunciation of symbols and characters come last and do not make a significant contribution to deciphering.
Mobile Apps in the EFL College Classroom.

The article shows the advantages of using mobile Apps in language learning, types of language learning Apps, how to search for language Apps, criteria for selecting mobile language Apps, instructional stages with mobile Apps, the instructor’s role and some implications for teaching and learning with mobile Apps.
Do not group quantitative variables

This chapter explores the problems caused by categorizing quantitative variables (here termed continuous variables). Optimum decisions are made by applying a utility function to a predicted value. At the decision point, one can solve for the personalized cutpoint for predicted risk that optimizes the decision. Dichotomization on independent variables is completely at odds with making optimal decisions. To make an optimal decision, the cutpoint for a predictor would necessarily be a function of the continuous values of all the other predictors. Moreover, categorization assumes that the relationship between the predictor and the response is flat within intervals; this assumption is far less reasonable than a linearity assumption in most cases. Categorization of continuous variables using percentiles is particularly hazardous. To make a continuous predictor be more accurately modelled when categorization is used, multiple intervals are required.
Exploration of Security Challenges in Cloud Computing: Issues, Threats, and Attacks with their Alleviating Techniques

Nowadays Cloud Computing is rapidly increasing its growth in the IT industry in recent years which provides a new way to manage the different information systems. The rapid development of technology makes it important to use this technology and to benefit from its advantages. There are various characteristics to organizations advancing toward cloud-based information stockpiling. These contain improved IT infrastructure and the administration remote distant access from successfully anyplace on the planet with a settled Internet association and the cost efficiencies that cloud computing can be accomplished. While we are moving towards the idea of on-request administration, asset pooling, moving everything on the distributive environment. Security and privacy challenges are the main issues that are always considered which is of worry to Researchers from the scholarly community, industry, and standards organizations have given potential solutions for these Challenges in the recently published studies. Cloud data security risks, cloud attacks, and identified vulnerabilities for different variables impacting cloud computing were presented in this study analysis. This analysis is actually intended to examine the different components of cloud computing as well as existing key security and security issues. Additionally, this paper presented various sorts of security threats with some new security concepts and alleviation techniques and recommend future directions.