Reviewerly/exHarmony huggingface dataset:
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning

In real-world tasks, reinforcement learning (RL) agents frequently encounter situations that are not present during training time. To ensure reliable performance, the RL agents need to exhibit robustness against worst-case situations. The robust RL framework addresses this challenge via a worst-case optimization between an agent and an adversary. Previous robust RL algorithms are either sample inefficient, lack robustness guarantees, or do not scale to large problems. We propose the Robust Hallucinated Upper-Confidence RL (RH-UCRL) algorithm to provably solve this problem while attaining near-optimal sample complexity guarantees. RH-UCRL is a model-based reinforcement learning (MBRL) algorithm that effectively distinguishes between epistemic and aleatoric uncertainty and efficiently explores both the agent and adversary decision spaces during policy learning. We scale RH-UCRL to complex tasks via neural networks ensemble models as well as neural network policies. Experimentally, we demonstrate that RH-UCRL outperforms other robust deep RL algorithms in a variety of adversarial environments.
The Montreal Cognitive Assessment-Basic B: A Screening Tool for Cognitive Impairment in Parkinson Disease (565)

Objective: The main objective of this study was to evaluate the usefulness of the Montreal Cognitive Assessment - Basic (MoCA-B) cognitive scale in relation to Parkinson’s Disease Cognitive Rating Scale (PDCRS) in the assessment of cognitive impairment. Background: Parkinson’s disease (PD) is a neurodegenerative type disease, in which cognitive dysfunction and dementia are common, these are classically manifested as a subcortical dementia, with psychomotor retardation, impaired memory and altered personality. The MoCA-B and PDCRS cognitive scales used to measure cognitive impairment are useful neuropsychological tools in this area Design/Methods: This is an observational, descriptive and cross-sectional study. The method of data collection was carried out through the interview where the MOCA TEST and the PDCRS TEST were conducted in the patients who attended the outpatient clinic of the Teodoro Maldonado Carbo Hospital during September 2018 to August 2019. A total of 80 patients were included. Results: It was determined that 39/72 (54.2%) patients had moderate cognitive impairment, followed by 24/72 (33.3%) patients with mild cognitive impairment, and 9/72 (12.5%) patients had no cognitive impairment according to MoCA. 48/80 (60.0%) patients had cognitive impairment according to PDCRS. The MoCA parameter that had the greatest influence was verbal fluency (OR: 1,474, 95% CI: 1,142 – 1,902, p Conclusions: MoCA can estimate the degree of severity of cognitive impairment as opposed to PDCRS. The cut-off point of PDCRS (≤71) is equivalent to moderate cognitive impairment and dementia of MoCA. In addition, male sex is related to cognitive impairment in these patients. The components of MoCA that most influence in determining cognitive impairment are visual perception, deferred memory, executive function, verbal fluency and calculus. Disclosure: Dr. Herbozo has nothing to disclose. Dr. Bustamante has nothing to disclose.
The Language Factor and Internet Penetration in Nigeria: A Practical Assessment

Efforts towards greater linguistic diversity in internet usage have often been seen as means of achieving increased internet penetration. Perspectives in this regard are based on several stated or unstated assumptions, one of which is the view that people who do not speak the major internet languages such as English or are not fluent readers in them would naturally opt for their own languages if/when such languages are used on the Internet. This paper presents the argument that in the Nigerian context, assumptions such as this may be misleading in view of findings in past studies which show that Nigerians generally do not enthusiastically embrace the acquisition and use of literacy skills in indigenous languages. In this regard, this article x-rays all the unstated assumptions behind quests for more language options on the Internet with specific reference to Nigeria. It concludes that the provision of Nigerian language options online would not significantly enhance internet penetration in Nigeria without broader adjustments to the roles and status of indigenous languages, as well as greater socio-economic inclusiveness in governance. The article therefore recommends holistic linguistic, socio-economic and political reforms to fight general social exclusion for which linguistic exclusion of any form may be merely symptomatic.
Application of artificial neural network to forecast geotechnical parameters and seismic wave velocity

PreviousNext You have accessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2021Application of artificial neural network to forecast geotechnical parameters and seismic wave velocityAuthors: Fatema Tuz JohoraCraig J HickeyHakan YasarerFatema Tuz JohoraUniversity of MississippiSearch for more papers by this author, Craig J HickeyNational Center for Physical AcousticsSearch for more papers by this author, and Hakan YasarerUniversity of MississippiSearch for more papers by this authorhttps://doi.org/10.4133/sageep.33-038 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Non-destructive geophysical seismic methods are effective for investigating soils without affecting the inherent mechanical properties. The current research is focused on developing models to forecast seismic wave velocity and geotechnical parameters using the artificial neural network (ANN) technique. Published seismic wave velocity, liquid limit, plastic limit, water content, and dry density from in field and laboratory measurements are used to develop ANN models. Several ANN models are developed using data from the field and lab separately and jointly. Models are developed to predict seismic wave velocity using geotechnical parameters, predict water content using seismic wave (plus additional geotechnical parameters) and predicting dry density using seismic wave (plus additional geotechnical parameters) Performance of the ANN models are assessed based on mean absolute relative error (MARE), average squared error (ASE) and coefficient of determination (R2). Multilinear regression analysis is also performed. The results indicate that ANN performs better than multilinear regression analysis. Keywords: neural network, density, waterPermalink: https://doi.org/10.4133/sageep.33-038FiguresReferencesRelatedDetails Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021ISSN (online):1554-8015Copyright: 2021 Pages: 349 publication data© 2021 Published in electronic format with permission by the Society of Exploration Geophysicists and Environment and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished: 11 Jun 2021 CITATION INFORMATION Fatema Tuz Johora, Craig J Hickey, and Hakan Yasarer, (2021), "Application of artificial neural network to forecast geotechnical parameters and seismic wave velocity," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 78-78. https://doi.org/10.4133/sageep.33-038 Plain-Language Summary Keywordsneural networkdensitywaterPDF DownloadLoading ...
Building Applications with Python

Python is a very popular and powerful programming language that can be used to develop applications of any kind, and it is especially useful to build data science and data analysis applications.
Multicam Studio Design Using Vmix As A Learning Media In SMK Bina Am Ma'mur

The media is a tool that intersects in the process of teaching and learning for the achievement of educational goals in general and learning objectives in schools in particular. The media is also a means of transporting messages or information that is instructional or contain teaching purposes and is therefore called learning media. Many benefits can be taken from media management from what we know so far. The practical benefits of instructional media in the teaching and learning process are learning media that can clarify the presentation of messages and information so as to facilitate and improve the process and learning outcomes. The use of instructional media with multicam studio design using vmix can increase student motivation and can also affect student achievement or learning outcomes. It is expected that the results of this learning media will have an impact on increasing students in learning the basics of multimedia systems, as well as a question and answer activity to increase student activity in the learning process.
Sentiment Analysis of Cyber-Attack Incident Reports

This article examines sentiment of 12,821 reports on cyber-attacks on firms around the world from 2011 to mid-year 2019. With theworld wide web (www) and associated technologies connecting opinions worldwide, sentiment in the world wide web is an importantperspective to understanding developments in cyber-attacks and the public opinion thereof, because much of the public debate isshared online. Such sentiment can potentially explain developments in regulation and may be indirectly associated with the buildingof defense mechanisms of cyber-victims. Results show that the quantity of reports on cyber-attacks on firms has been increasing,but the sentiment of reports on cyber-attacks has been decreasing. Both trends reflect the increasing severity of the issue and arelikely contributing to regulatory responses. Results also show that the sentiment is conditional to the source that reports the cyber-attack.
Impact of Online Activism on Public Involvement in Criminal Justice System

In this information era the increase in the use of digital technology has transformed the way we interact, socialize, access and consume data. The study investigates the reach and impact of public engagement on the crime and justice system in the contemporary age of online activism and citizen journalism. Applying the mixed-method approach, data is gathered through a thematic review of high-profile criminal cases, interviews of experts and a public survey in Pakistan. The findings highlight that a majority of youth under the age of 36 are using social media, especially Facebook (around 60% of the respondents), as the main source of news about criminal cases. While heavy exposure to criminal cases on digital media (77%) seems to have a nominal influence on public understanding of the judicial system in the country. However, it provides them with a platform for online activism, which often leads to offline civil right movements and campaigns with demands for mob justice and vigilantism. Despite certain limitations, the study provides valuable suggestions and insights for the policy makers and researchers alike in the field.
Benedetta Cappiello and Gherardo Carullo (eds.), Blockchain, Law and Governance

1. Since the publication of the now famous Bitcoin whitepaper by Satoshi Nakamoto in 2008, crypto-currencies and the technology behind them, namely blockchain, have become extremely “mainstream”, with the subject being at the center of many legal discussions. The book Blockchain, Law and Governance significantly contributes to the debates by analyzing both the collaborations and confrontations between the law and the blockchain. The purpose of the book is to show the areas in which blockchain can be effectively used and the legal challenges that it introduces “both from a private and a public perspective” (p.1). 2. The book opens with an introduction to blockchain and its interaction with the legal order. In the first part of the book, Benedetta Cappiello starts with explaining blockchain technology and the Decentralized Autonomous Organizations (DAOs) by analyzing how blockchain and DAOs application can be regulated. She points out that both can be regulated on-chain...
IMAGE RECOLORIZATION WITH CONVOLUTIONAL NEURAL NETWORK USING OPENCV

The rapid going on concept in the research of Computer Vision used for Image recolorization. The CNN (Convolution Neutral Network) depended system through OpenCV has been applied in this type, which changes pure black & white pictures into colorization by not using any human assistance or tool. Several image weights and color spaces are explored. The grayscale input picture or black & white picture is taken for generating a scheme of coloring. The aim is to build the output picture as natural as the input and change the picture of grayscale to colorized picture by using the mechanisms of Open CV. The user gives one picture as input then the system automatically changes the black & white picture into color picture.
SISTEM INFORMASI ADMINISTRASI RAWAT INAP, RAWAT JALAN DI PUSKESMAS KABIL BERBASIS WEB MENGGUNAKAN PHP DAN MYSQL

The need for fast, accurate, and timely information is an absolute necessity in this fast-paced era. Delays in presenting the required information will cause the information to be irrelevant to the user. Information Systems Outpatient and Inpatient Administration of Puskesmas Kabil departs from the vision and mission objectives of Tanjung Raja Public Health Center. That is the realization of good service to the community
Code switches to the sicilian dialect in G. Culicchia's novel «Sicilia, o cara. Un viaggio sentimentale»

The aim of this article is to identify the pragmatic functions of code-switching to the Sicilian dialect of the Italian language in the autobiography of the contemporary Italian writer G. Culicchia. Code switches studied by contact linguistics are the embedded language units of different levels in the matrix language utterance. The author uses I. Y. Mishintseva and G. N. Chirsheva's classification of pragmatic functions for studying code switches in literary works. The foreign language units in G. Culicchia’s work perform two groups of functions: functions characteristic of fiction (creating the effect of communication in the Embedded Language in the literary work) and those characteristic of spoken language (topic-related, metalinguistic, citing and emotional functions). The topic-related function of codeswitches is used to convey Sicilian culture realities as well as the direct speech of the author’s Sicilian relatives. The metalinguistic function of the code-switches under analysis involves introducing the reader to pronunciation and lexical features of the Sicilian dialect. The citing function means the author’s citing of Sicilian proverbs and sayings. The emotional function consists in expressing the author’s emotions and feelings towards Sicily and Sicilian relatives. Thus, the pragmatic functions show that the code-switches under analysis are the source of subjective and objective information in the novel. The Sicilian code-switches have a graphic feature in the novel: all of them are printed in italics. The italic type as a graphic stylistic device is used to logically separate Sicilian words from Italian lexis, to convey emotions, to separate the author’s Italian speech from the other characters’ Sicilian dialect.
Face Recognition Attendance System

The management of the attendance can be a great burden on the teachers if it is done by hand.To resolve this problem, smart and auto attendance management system is being utilized.The execution of the algorithm had to run on the mobile phone, so there was need for a lightweight image recognition algorithm. By utilizing this framework, the problem of proxies and students being marked present even though they are not physically present can easily be solved. When a user takes a picture of a human, our application searches related information in a database using image recognition. Since a user of the application can take a picture under different circumstances, the used image recognition algorithm had to be in variant to changes in illumination and view point. By computing the distances between the vectors of an unknown image and known database images, a best match can be selected.Android is flexible and provides many tools for developing applications.We explored, evaluated and used many of Android's possibilities.
Analisis Tata Kelola dan Pengawasan Keuangan Sekolah di SMA Bukit Asam Tanjung Enim

School institutions are concerned not only with education, but also with human resources and finances. The aim of this article is to learn more about how SMA Bukit Asam Tanjung Enim manages and supervises school finances. Data is gathered by exploration, questioning and answering, and file analysis. This analysis approach is a mix of techniques. The triangulation approach was used to interpret the qualitative data, and the quantitative data was statistically analyzed. Treasurers, deputy principals, students, and principals at SMA Bukit Asam Tanjung Enim were the study's target sources. The findings of this study show that school financial management and oversight in the implementation of the school budget work plan is acceptable and efficient. The preparation of the RAPBS or RKAS and accountability reports, which have been completed in compliance with the financial management framework and financial management principles, namely the principle of openness, the principle of accountability, and the principle of performance, demonstrate the management and monitoring of school finances, the principle of effectiveness, the principle of efficiency so that the management and supervision of school finances in SMA Bukit Asam is running well and the cooperation of the school and the community to advance the school is getting better.
E VOTING SYSTEM USING BLOCKCHAIN TECHNOLOGY

this paper elicitates the requirements of building electronic voting system that includes block chain technology. Voting is a very important part of any democracy. The larger the implications for each decision the more people who can participate in the process. In the current voting system there is a lack of transparency and security. It is difficult to keep track of each voter’s eligibility and validity to participate. To solve the above problems block chain technology is the one which provides high security and transparency.
Automatic Black-Box Detection of Resistance Against CSRF Vulnerabilities in Web Applications

Cross-Site Request Forgery (CSRF) is an attack in which an infected website causes a victim's browser to perform an unwanted operation on a trusted website. The main solution to tackle this attack is to use random tokens in requests, sent by the browser. Since such tokens cannot be guessed or rebuilt by the attacker, he is not able to forge the requests. The tokens can be specific to a request, a page, or a session. Existing methods for detecting CSRF vulnerabilities mainly rely on simulating an attack by manipulating a request, submitting it to the server, and analysis of the response to the forged request. This kind of test must be repeated for each request in a web application to identify whether the application is vulnerable. Moreover, it may lead to undesired changes to the application database by submitting fake requests. This paper presents a method to passively detect CSRF-resistant requests by analyzing the traffic to the target website. To this end, we formulate a set of rules to analyze the possible existence of anti-CSRF tokens. Traffic analysis based on the proposed rules outputs resistant requests due to the use of random tokens. Consequently, the requests without such tokens are deduced to be potentially vulnerable. The proposed method is implemented and evaluated by the traffic extracted from several websites. The results confirm that the method can effectively detect anti-CSRF tokens in requests and the more complete the website traffic, the more accurate the results.
Introduction to Blockchain: An Emerging Technology

It is only a matter of time before technology emerges to open up a whole new world of opportunities. For example, the invention of the Internet was a development like this that changed the world in almost every theory. Blockchain technology is also one of the emerging technological advances that is expected to change the way transactions are conducted, thus affecting a wide range of potential applications. Blockchain is a distributed software network that works both as a digital logger and a method that allows secure transfer of assets without a mediator. Just as the Internet is a technology that facilitates the flow of digital information, blockchain is a technology that facilitates the digital exchange of digital value. Anything from coins to land titles to votes can be token, stored, and exchanged via a blockchain network.
Correction of Depth Perception in Virtual Environment Using Spatial Compnents and Perceptual Clues

As the education and training is such a virtual environment is applied to various fields, its usability is endless. However, there is an underestimation of the depth of perception in the training environment. In order to solve this problem, we tried to solve the problem by applying the top-down correction method. However, it is difficult to classify the result as a learning effect or perception change. In this study, it was confirmed that the proportion of spatial components of urine had a significant effect on the depth perception, and it was confirmed that the size perception were corrected together. In this study, we propose a correction method using spatial component and depth perception to improve the accuracy of depth perception.
Formation of Pedagogical Thinking of Future Teachers

The training of professional teachers is dictated by the fundamental changes taking place in education. In the new social and pedagogical conditions, a professional teacher is required. Unlike a specialist teacher, a professional teacher, firstly, is a subject of the pedagogical activity, and not a bearer of a set of scientific knowledge and methods of its transmission; secondly, it is focused on the development of human abilities, and not only on the transmission of knowledge, abilities and skills; thirdly, he can practically work with educational processes, to build developing educational situations, and not just to pose and solve didactic problems. The analysis of literary sources allowed the authors to achieve the goal of the article: to develop theoretical and methodological tools for the significant formation of pedagogical thinking of future teachers, namely, to offer and test a model for the formation of pedagogical thinking of future teachers. The approbation showed an increase in all indicators that were assessed, as well as an increase in additional indicators: student attendance and their involvement in the educational process, which was manifested in an increase in the number of students who came to consultations, an increase in the number of requests from students to study additional literature on the topic, for additional research work, etc. Thus, the development of pedagogical thinking becomes both a process and a result of teaching a future teacher.
DEVELOPMENT OF CREATIVE ABILITIES OF YOUNGER SCHOOL STUDENTS

Project activity in human life plays a developmental role. This is especially important at primary school age, which is one of the most difficult and controversial periods of development in a person's life for analysis. As part of the learning process at this age, the foundations of a person's socialization are laid, the peculiarities of his interaction with others, and the educational base is formed, which will later become the foundation of his educational and work activities.All aspects of development at this age are subject to a qualitative restructuring, new psychological formations arise and form. In this regard, a creative approach to teaching in accordance with psychological characteristics, motivational preferences and tangible performance, which is so important for schoolchildren, is simply necessary.