Reviewerly/exHarmony huggingface dataset:
Bitcoin: Systematic Force of Cryptocurrency Portfolio

Cryptocurrencies represent a new type of digital asset that cannot be linked to the framework of fundamental and systematic factors of existing financial instruments of the traditional capital market. Due to the lack of strictly defined fundamental indicators, supported by the results of research by the academic community, considering cryptocurrencies as investment opportunities can put investors in a subordinate position, a situation of complete uncertainty. Cryptocurrencies and their entire technical infrastructure are still a kind of unknown to the general public. Due to this, but also the lack of a regulatory framework, investors have to rely on sometimes uncertain information gathered through various media platforms. However, regardless of the type of assets and the mentioned shortcomings, when constructing a portfolio, investors should consider the dynamics of returns of potential components of the portfolio in order to identify and quantify the assumed investment risk and define the expected return. Cryptocurrencies are based on the idea of decentralization initially introduced by bitcoin blockchain technology and as such have their own historical sequence of origin. Since bitcoin is the first digital currency based on asymmetric cryptography, the change in its value can serve as a leading indicator of the movement of the cryptocurrency market as a whole. Accordingly, this paper will formally identify and describe the performance of the cryptocurrency portfolio with different optimization goals taking into account the assumption of a significant systematic impact of bitcoin cryptocurrency on the dynamics of the value of the aggregate secondary cryptocurrency market. For this purpose, six optimization targets will be formed: MinVar, MinCVaR, MaxSR, MaxSTARR, MaxUT and MaxMean. The results of the formed portfolios will be compared with the results of portfolios with the same allocation objectives, but which include a limitation on the impact of BTC as a systematic factor. The results suggest that by controlling the exposure by factor, better overall portfolio performance can be achieved through higher returns and Sharpe Ratio in four of the six implemented optimization strategies, while in terms of absolute risk measure five out of six portfolios achieved lower overall risk. Also, the obtained results confirm that the bitcoin transaction system plays a major role in defining the future movement of the value of the secondary cryptocurrency market.
NOMES PRÓPRIOS: O PRINCÍPIO DE RUSSELL E O ARGUMENTO SEMÂNTICO

I have two main goals in this paper. First, I develop a version of Theory of Identification for the reference of proper names, one which comes from Strawson and Evans. The theory is not developed in detail, but its central elements are revealed, focusing on its treatment of the phenomenon of reference borrowing. At the center of this theory is Russell’s Principle which, applied to the reference of proper names, states that the identification of the named object is a necessary condition for the success of reference. Secondly, I reply to the challenge posed by the semantic argument inspired by Kripke and Donnellan. This argument can be used to show that identification is not necessary for the success of reference. I defend that it is not effective against the version of Theory of Identification advocated here.
Asymptotical problems of sequential interval and point estimation

The accuracy of interval estimation systems is usually measured using interval lengths for given covering probabilities. The confidence intervals are the intervals of a fixed width if the length of the interval is determined, i.e., not random, and tends to zero for a given covering probability. We consider two important directions of statistical analysis -sequential interval estimation with confidence intervals of fixed width and sequential point estimation with asymptotically minimum risk. Two statistical models are used to describe the basis problems of sequential interval estimation by confidence intervals of a fixed width and point estimation. A review of data on nonparametric sequential estimation is carried out and new original results obtained by the authors are presented. Sequential analysis is characterized by the fact that the moment of termination of observations (stopping time) is random and is determined depending on the values of the observed data and on the adopted measure of optimality of the constructed statistical estimate. Therefore, to solve the asymptotic problems of sequential estimation, the methods of summation of random variables are used. To prove the asymptotic consistency of the confidence intervals of a fixed width, we used a method based on application of limit theorems for randomly stopped random processes. General conditions of the consistency and efficiency of sequential interval estimation of a wide class of functionals of an unknown distribution function are obtained and verified by sequential interval estimation of an unknown probability density of asymptotically uncorrelated and linear processes. Conditions of the regularity are specified that provide the property of being an estimate with an asymptotically minimum risk for a wide class of estimates and loss functions. Those conditions are verified by sequential point estimation of an unknown distribution function.
The lamp, the fly, and the fungus. Observing and experimenting with living organisms in a biomimetic artifact

On the basis of a concrete study that examined the creation of a biomimetic lamp—whose light comes from bioluminescent fungi—this article shows how observing and understanding a biological process makes it possible to reproduce its functioning and, at the same time, how imitation leads to knowledge about the model on which it is based and affects relations between humans and non-human living beings. The functionalist point of view initially adopted by the lamp’s creators quickly ran up against the random and symbiotic workings of living organisms, and the lamp-object began to serve as a tool for decoding the fungi’s ecosystem, which was also reproduced. Ultimately, the nightlight appears as an observation device that invites users to not only contemplate living beings but also to interact with them, to engage in a more experimental relationship of care and handling with the organisms the device houses.
An informal assessment of AWS (Amazon Web Services)

Amazon gives the opportunity to IT organizations that they can utilize a complete set of IT tools for them for the creation of dedicated virtual clouds to retain whole and sole configuration control over organization’s environment. Amazon Web Services are useful to service organizations as well as IT developments. The benefits like low cost and efficiency to move data on to the cloud attracts security professionals, but side by side also adds various transition security risks and concerns of compliance. On introduction of  a variety of services and functionality, which includes dedicated Elastic Compute Cloud (EC2) instances and many more like that, that promises to make cloud computing safe and secure for the organizations that are highly regulated, Amazon Web Services (AWS) has played a vital role in alleviating security and compliance concerns of enterprises with cloud computing
LibraryOnline: Library off-campus: Returning Books

What help the Library can offer you whilst you can't get into the Library Details of how books can be returned
ENGLISH INSTRUCTIONS FOR PRIMARY SCHOOL ENGLISH TEACHERS

This research aims to motivate and improve Primary School Teacher in English skills. Based on Mulyanah's research 2018, there were 70% of English teachers were found by non-linear based on their previous study and based on TOEFL scores the teacher's lack of competence of English skill and they need interesting teaching media to improve their skill by using English instructions book to maintain the initial motivation, maintain the curiosity and interest of the teachers to develop a desire to learn languages, especially in English easily and quickly. In this research, the descriptive quantitative approach is selected by the researcher with a quasi-experimental design and non-equivalent design control group using pre-test and post-test, experimental and control group to find out the results after treatment given. The sample are 20 English teachers of Primary school in Tangerang, Indonesia. The research is divided into several of processes, pretest, 6 times for the treatments and the last posttest. The results of the research are 1) Increased teacher motivation in learning English, 2) Increased confidence using English both inside and outside the classroom. 3) 0.6% increased teacher competence in their English skills.
Dark Path #4

Dark Path #4 is an acousmatic work of electroacoustic music. The sounds used in the piece were recorded in a soundscape dear to the author located in the Italian region of Marche. They were processed then composed together to create the musical work. Dark Path #4 can be defned as a journey through light, shadow, shape, color, drifts and landings.
ARE DARK TOURISM AND THANATOURISM ETHICAL

Tourism has grown by leaps and bounds and is still one of the fastest growing industries in terms of revenues and employment generation around the globe. It covers a wide range of independent and yet interdependent sectors like transport, accommodation, travel services, food and beverage, recreation and entertainment, among others (Khan, 2014). However, modern tourism is diverting into areas that a few years ago would not be considered as tourism, like dark tourism, thanatourism and slum tourism. This paper tries to analyze the ethical issues linked to dark tourism/thanatourism, its impact on the local communities and other related issues.
LibGuides: Current Events and Political Information: Websites

This guide will help you navigate the 24-hour news cycle world. Keep current, stay informed, and always learn! Websites to assist in resources
Research & Subject Guides: Scholarly Communications Services for Researchers: Copyright Consultation Services

Supporting the creation, evaluation, dissemination, and preservation of the University's scholarly output
SDCC Library: Linking to Library Resources in Canvas: JSTOR

How to link to SDCC Library resources within a Canvas course shell finding persistent links in JSTOR
Evaluating an ARCore application to get an image of the state of AR technology today

Augmented reality is an old technology that is still far away from being perfect. It is also quickly being improved upon and the state of AR today has come a long way from AR just a couple of years ...
Response to disruptive innovation with hybrid products: transition of Oracle's business applications to cloud computing

Success and failure of the incumbent's response to disruptive technologies have been in the focus of innovation and strategy research for decades. Recent papers have suggested that developing a hybrid product, which combines old and new technology, can be a stepping stone towards fully embracing new technology. This paper explores the role of hybrid products in the response of Oracle Corporation, to cloud computing, a disruptive innovation. The development of a hybrid product allowed Oracle to successfully transition its business applications to a cloud offering while not abandoning the needs of its customers with respect to traditional products. The findings show that changing the positioning of a hybrid product by moving the focus from old technology entirely to the new can support an evolving response to disruptive innovation. The paper also considers the implication of cloud computing on Oracle's business in emerging countries.
Using Signal processing to Investigate User Web Search Behaviour on Topics of Interest with Multiple Periodicities

A Web user searches for multiple topics of interest on the Web on a regular basis. The topics may be searched periodically at a particular time or at different times, creating temporal patterns with different periodicities in the search history. To improve a user’s Web search experience, the multiple periodicities of the topics of interest of a user can be exploited. This study proposes to find multiple periodicities of a user’s topic of interest through signal processing. It is found that Fast Fourier Transform can be used to find multiple periodicities of a topic as well as to predict the temporal pattern of the topics with accuracy and error depending on the training data size.
Python & Qt, Powerful Tools for Technical Computing

The objective of this presentation is to give a brief overview of Python computer language and Qt for Python which provides an interface to Python for building graphical applications. The Qt language provides a method for rapid programming of Graphical User Interfaces (GUIs) that are highly scalable, robust and platform independent. Both Python and Qt provide a powerful set of tools for Dynamic Analysis which are based on Open-Source software. Many problems and calculations in Structural Dynamics such as Power Spectral Density, Shock Response Spectrum and Vibration Response Spectrum can be easily calculated using these tools. The advantage of using Open-Source software is the ability to create custom graphical user interfaces similar to Matlab without the expense of software licensing and the ability to customize the software to an organization's specific needs. Also, another advantage is the ability to know which algorithms are being used by the GUI, know the numerical limitations and scale to large size data sets. I will end the presentation by demonstrating a Structural Dynamics GUI I created that was designed primarily to interactively analyze Post Flight high speed data provided by the ground station telemetry networks.
Partire dai luoghi. Educare alla diversità, dentro le culture

The text reflects on cultural diversity by combining two aspects of the problem: the differences between cultures and the differences within each culture. Recognizing the complex nature of each culture means recognizing that every cultural expression is constitutively (in) relationship.This nature of cultures is revealed in public spaces. These are the threshold within which encounters, clashes, exchanges, negotiations and contaminations take place. They are places in which linguistic and cultural translation practices are occurring.
Design för lärande i en pop-och rockensemble : En studie i en ensembles val av design med notation respektive inspelning som huvudsaklig resurs.

The purpose of this study is to examine methods of learning two different songs with sight-reading and by ear as main resources in a pop- rock ensemble. To investigate this, we constructed a band r ...
Construction 003: Axial / Regional - Version 002

Author(s): Matthews, Emma Kate | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
The Monte Carlo Transformer

This paper introduces the Sequential Monte Carlo Transformer, an original approach that naturally captures the observations distribution in a recurrent architecture. The keys, queries, values and attention vectors of the network are considered as the unobserved stochastic states of its hidden structure. This generative model is such that at each time step the received observation is a random function of these past states in a given attention window. In this general state-space setting, we use Sequential Monte Carlo methods to approximate the posterior distributions of the states given the observations, and then to estimate the gradient of the log-likelihood. We thus propose a generative model providing a predictive distribution, instead of a single-point estimate.
Forgery Detection in Digital Images Using Quick K-Implies Bunching

Image tampering is one of the popular control systems in the computerized picture. Many square-based strategies have been proposed already for fraud identification, yet the greater part of them have the most computational unpredictability because of the higher amount of highlight vectors measurements. This paper includes, we have attempted to lessen the element vector measurements. This paper includes a roundabout square-dependent copy-move forgery detection (CMFD) technique and a discrete cosine transformation (DCT) with fewer element vectors than the overall strategies. At first an information picture is taken and separated into covering squares. To remove the highlights from each square, DCT change is utilized in each square. At that point, these highlights are spoken to utilizing a hover square to diminish the element vector's measurement. The separated element vectors are then utilized for coordinating procedures to find the controlled locales. Quick K-implies bunching strategy is utilized to group the square into various classes. To decrease the length of each square element matrix, criss-cross analysis is performed. Lexicographically, the component vectors of each bunch square are arranged by radix sort. Link by squares between each near proves their similarity. Testimonial results delineate the appearance of the proposed techniques and strength toward post-preparation tasks. Because of fewer calculations of element vectors, the numerical multifaceted complexity of the proposed approach is less than the current systems.
SAFER-LC: Third workshop held on 5 February 2020 at FFE premises in Madrid, Spain – UIC Communications

Reminder: SAFER-LC project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 723205. It is led by UIC and will last 36 months.…
Blood Cell Data Augmentation using Deep Learning Methods

In this thesis we aim to improve classification performance on blood cell imagesby using deep learning techniques to augment data. The thesis was conductedat CellaVision, a company providing digital solutions for medical microscopy inthe field of hematology. The goal of CellaVision’s technology is to replace man-ual microscopes used for cell differentials in blood tests with digital microscopesthat perform cell differentials automatically. Classyfying white blood cells is animportant part of this technology and is achieved by using an artificial neuralnetwork. This classifier network requires a great amount of training data inorder to perform well.With the objective to improve the performance of the classifier, we augmenttraining data consisting of blood cell images by generating synthetic data usinga Generative Adversarial Network (GAN). Our goal is to generate images withclose to equal quality of the real images and to use the generated images forclassifier improvement. The results show that the GAN is able to generate im-ages that, apart from some small artefacts, very much resemble the real images,so much that a medical technologist struggled to differentiate them from realimages.In order to generate class specific blood cell images, we implement a versionof the Auxiliary Classifier GAN (AC-GAN), where we use a pre-trained gener-ator and discriminator from a GAN able to produce high quality images. Thegenerator and discriminator are freezed and connected to fully connected lay-ers to be trained. By augmenting the training data with the generated imagesfrom this AC-GAN, classifier performance improved for the majority of classesresulting in an increased F1-score. This leads us to believe that augmentingblood cell image data by using synthetic images is a viable method for classifierperformance improvement. (Less)
relation, listening, writing HUBUNGAN KEMAMPUAN MENYIMAK CERPEN DENGAN KETERAMPILAN MENULIS CERPEN SISWA KELAS XI MAN LUBUK ALUNG

The research was conducted to analyze first, students comprehension  in listening to the short story. Second,  Students  Comprehension in writing the short story by the eleventh grade of MAN Lubuk Alung. Third, to relate the comprehension of listening and writing by the eleventh grade of MAN Lubuk Alung. The theory of this research were the competency in listening, writing and analyzing the short story. The type of this research was quantitative research with analitycal descriptive method and used a correlational research schema . The population and sample of this research was the eleventh grades of MAN Lubuk Alung. The sample of this research is 30 students. The data collected by objective test and writing test.  The objective test used to collect the data about the comprehension of listening a short story. Writing test used to collect the data about comprehension of writing short story.  From this research, it can be concluded that first, the comprehension of writing short story by eleventh grade of MAN Lubuk Alung was Significant (87,96), second the comprehension of listening short story by eleventh grade of MAN Lubuk Alung was very good. Third, the relation between listening and writing skill was significant by freedom degree n-1 (30-1+29) and p=0,95. It means, comprehension h0 ignored and h1 accepted, by the result of tcalculate bigger than ttable 7,18>7,10.
LibGuides: Student Support for Remote Learning: Fall 2020 – Important Updates

Your guide and resource for everything you need to prepare for and conquer remote learning.
Exploring the acquisition of media literacy skills through media participation in Rwanda : a case study of Huye Community Radio

Media literacy has been described as the ability of a citizen to access, critically analyze, and produce media content for specific outcomes. It also involves an awareness of the impact of media in the society and an understanding of media processes. More so, there are scholarly views that suggest that media literacy is a foundational skill for democracy. Here, the focus is not only on a media literate consumer or producer of media content but a media literate citizen who can also use media literacy skills to engage in civic practices for community development. Anchored on the Theory of Citizen’s Participation, the aim of this study was to find out what constitutes community radio participation in Rwanda, in addition to the relationship between community radio participation and media literacy acquisition among community radio participants in the country. More so, this study aimed at finding out how participation in community radio has served as a resource for engagement in civic practices among community radio participants in Rwanda and how participants in community radio assess community radio as alternative for promoting media literacy in the country. In order to achieve these objectives, the study adopted a qualitative research method with the case as Huye Community Radio. Fifteen volunteers at the community radio were purposively selected, out of which 9 participated. More so, online interviews which were guided by an interview schedule were used as method of data collection. Findings from the study suggest that community radio stations in Rwanda have also keyed into a maximalist approach in community radio participation just like in the developed countries of the world in a way that has fostered different aspects of media literacy. Furthermore, findings also showed that the community radio in Rwanda has served as an important resource for civic engagement. More so, the respondents agreed that media literacy as facilitated by the community radio is a deliberate pedagogical effort as there are programs designed to teach individuals in the community some media literacy skills. However, they admitted that many individuals are yet to be reached and that the poor attitude of media managers and lack of adequate equipment were factors that militated against the use of community radio as a tool for fostering media literacy. Based on these findings, this study recommended policy changes and adjustments in the use of media as a tool for fostering media literacy in Rwanda. It recommended that media literacy teaching in Rwanda should adopt a more robust approach underpinned by a media literacy education model just like in America and some parts of Europe where media literacy is a core part of the education curriculum.