Reviewerly/exHarmony huggingface dataset:
Tabulating Data and Constructing Static 2D and 3D Charts

This chapter introduces the basics of tabulating data and constructing static graphical representations. It begins by demonstrating an approach to extract and tabulate data by implementing the pandas and SQLAlchemy libraries. Subsequently, it reveals two prevalent 2D and 3D charting libraries: Matplotlib and seaborn. It then describes a technique for constructing basic charts (i.e., box-whisker plot, histogram, line plot, scatter plot, density plot, violin plot, regression plot, joint plot, and heatmap).
An Uncertainty Principle is a Price of Privacy-Preserving Microdata

Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata is familiar and convenient for downstream users. However, there is a statistical price for this kind of convenience. We show that an uncertainty principle governs the trade-off between accuracy for a population of interest (sum query) vs. accuracy for its component sub-populations (point queries). Compared to differentially private query answering systems that are not required to produce microdata, accuracy can degrade by a logarithmic factor. For example, in the case of pure differential privacy, without the microdata requirement, one can provide noisy answers to the sum query and all point queries while guaranteeing that each answer has squared error $O(1/\epsilon^2)$. With the microdata requirement, one must choose between allowing an additional $\log^2(d)$ factor ($d$ is the number of point queries) for some point queries or allowing an extra $O(d^2)$ factor for the sum query. We present lower bounds for pure, approximate, and concentrated differential privacy. We propose mitigation strategies and create a collection of benchmark datasets that can be used for public study of this problem.
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark

We propose new width-based planning and learning algorithms applied over the Atari-2600 benchmark. The algorithms presented are inspired from a careful analysis of the design decisions made by previous width-based planners. We benchmark our new algorithms over the Atari-2600 games and show that our best performing algorithm, RIW$_C$+CPV, outperforms previously introduced width-based planning and learning algorithms $\pi$-IW(1), $\pi$-IW(1)+ and $\pi$-HIW(n, 1). Furthermore, we present a taxonomy of the set of Atari-2600 games according to some of their defining characteristics. This analysis of the games provides further insight into the behaviour and performance of the width-based algorithms introduced. Namely, for games with large branching factors, and games with sparse meaningful rewards, RIW$_C$+CPV outperforms $\pi$-IW, $\pi$-IW(1)+ and $\pi$-HIW(n, 1).
Legislations on Cyber Terrorism in Tanzania: A Reality Or Myth?

The development of ICT technology is customarily accompanied with a number of profits to the community. In recent years there has been growing attentiveness about cyber terrorism and the need to implement legislation and enforcement measures to address and indict committers in planning and organizing a terrorist attack. A number of perpetrators can plan and execute attack irrespective of where they are positioned around the world. That being the case the growing number of cyber terrorist activities highlight the difficulty in terms of tracing and prosecuting perpetrators of cyber terrorism in digital world. The lack of cohesive legal frame work has resulted in some individual to pursue on causing cyber terrorist threats. It’s evident that existing legal statues are not effective in prosecuting and combating cyber terrorism thus a cohesive legal frame work is required to meet the comprehensiveness guideline regarding cyber terrorism since the delay in establishing a legal frame work to address cyber terrorism will send a clear message to cyber terrorist that the government have limited or no capacity to legally pursue them. Despite of it not physically seen in our country but as long as we are already exposed to the digital world, then anything is possible. We have to understand that, cyberspace does not respect borders and as the fact that we have experience a number of terror attacks in our country in traditional way that does not mean the same cannot be engaged in digital world. This manuscript intends to explore the scope of legal framework in combating cyber terrorism in Tanzania in comparison with other jurisdiction (South Africa, United Kingdom, India and United States of America).
Web Archiving Local Election and Government Websites

Local election and political websites are highly ephemeral due to their nature, especially for losing candidates. Thus, they are highly vulnerable to loss from the historical record. A survey during Spring 2019 of previously captured web archives on the Archive.org website showed a scarcity of captured websites for local governmental and political elections in Michigan. The University of Michigan’s Bentley Historical Library currently captures websites related to the Governor, Michigan senators, and some congress members. However, less high-profile candidates were not being captured. As such, many websites from the 2018 midterm elections are vulnerable to loss. Furthermore, 2020 held a presidential election as well as many local elections, and with these campaigns, political websites hosting valuable candidate information were put up on the web for a limited time. Preserving content from these websites could be of great value for future researchers.
Card less ATM Using Deep Learning and Facial Recognition Features

Abstract— Automated Teller Machine (ATM) is now used for transactions by different users in day to day life due to its high convenience. With the help of ATM’s, banking is now easier. But there have been a lot of frauds that are occurring in ATM’s. Thus there is a need to provide more security to these ATM’s. The proposed system provides the real-time detection and real-world encounter through Haar Cascade & CNN, an analytical service. The software starts by taking pictures of everyone and keeps the details in a database. The proposed activity works with the default detection system. The method consists of three stages, the first is facial detection from the image, the second is obtaining all the facial details for the purpose of expression recognition to detect liveness. The most useful features that differ from the camera image are extracted from the feature extraction section finding out if all the face details are visible. This feature vector creates an active face representation. In the third step our feature background is designed to find out what an osculated face looks like.
FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold

Current Generative Adversarial Networks (GANs) produce photorealisticrenderings of portrait images. Embedding real images into the latent spaceof such models enables high-level image editing. While recent methodsprovide considerable semantic control over the (re-)generated images, theycan only generate a limited set of viewpoints and cannot explicitly controlthe camera. Such 3D camera control is required for 3D virtual and mixedreality applications. In our solution, we use a few images of a face to perform3D reconstruction, and we introduce the notion of the GAN camera manifold,the key element allowing us to precisely define the range of images that theGAN can reproduce in a stable manner. We train a small face-specific neuralimplicit representation network to map a captured face to this manifoldand complement it with a warping scheme to obtain free-viewpoint novel-view synthesis. We show how our approach ś due to its precise cameracontrol ś enables the integration of a pre-trained StyleGAN into standard 3Drendering pipelines, allowing e.g., stereo rendering or consistent insertionof faces in synthetic 3D environments. Our solution proposes the first trulyfree-viewpoint rendering of realistic faces at interactive rates, using onlya small number of casual photos as input, while simultaneously allowingsemantic editing capabilities, such as facial expression or lighting changes.
Библиографическая ссылка на публикацию из сетевых ресурсов. Требования к нормализации

The article discusses the rules for compiling bibliographic references to cited or mentioned electronic documents placed in information and telecommunications networks of the following categories: all types of electronic documents placed in information and telecommunications networks, regardless of the primary source of their publication (including republications, integrated and multimedia electronic documents, software and databases), groups of homogeneous and heterogeneous electronic documents, components of an electronic document (the fragment of a text, part of a work or a publication, a block of information in an integrated or multimedia document). The authors specify the bibliographic record for making a reference to electronic documents that have analogies in the system of traditional scholarly communications (books, articles, conference materials, etc.). Alternative requirements for making a bibliographic record when referring to documents that are not included in other bibliographic standards are proposed: research data; an integrated electronic document and its component part (messages and responses to them in social networks, chats and forums, on news feeds and on information resources; a fragment of a document, including a multimedia one; an information resource (website, portal); computer programs.
ИННОВАЦИОННАЯ ДЕЯТЕЛЬНОСТЬ КАК РЕСУРС ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ МЕНЕДЖЕРА ОБРАЗОВАНИЯ

The article reveals the meaning and mechanism of innovative practice for the professional development of an education manager. The concepts of management, the specifics and tools of pedagogical management are determined. The subjects of innovative activity, variants of educational system segmentation and strategies are characterized. The directions of innovative activity are indicated: ensuring the quality of human capital, technological modernization of education, development of social sustainability, digital transformation. A check-list is proposed to stimulate innovative search.
Database Programming Technology Based on Computer Software Engineering

Computer software engineering has become one of the most popular industries in society, and its role in social development is obvious to all.From the point of view of the current computer software engineering industry, although the development process is accelerating and new achievements are emerging, there are still many problems, which are very unfavorable to the better and faster development of computer software engineering.In these problems, the most concerned is the application of database programming technology, because of the existence of technical problems, the database cannot play its due value.This thesis focuses on database programming based on computer software engineering.
Learning Implementation Utilizing Audio-Visual Media During the Covid-19 Pandemic in Children in Ekasakti Kindergarten Padang

Early childhood is a child in the golden age range or the age of 0-8 years. Concerning this, learning media will help the effectiveness of the learning process, which can be used as an intermediary in stimulating all aspects of development in children. However, teachers sometimes ignore the use of media, even though using learning media, especially audio-visual media, can play an essential role in positively affecting children's learning processes. Therefore, the research aims to describe the flow technique for implementing learning using audio-visual media during the COVID-19 pandemic at Ekasakti Kindergarten. This type of research is descriptive qualitative research. The research tools were the researchers themselves, supported by observation, interviews, and documentation. The subjects of this study were teachers during the COVID-19 pandemic in teaching utilizing audio-visual media. The results uncovered that learning activities with audio-visual media during the COVID-19 pandemic had been carried out correctly and adequately for children so that delivery to children could run well and accomplish the goals to be achieved. In the activities carried out through audio-visual media, it appeared that the teachers were indeed preparing the planning, implementation, and evaluation of the learning process utilizing the audio-visual so that the delivery to children could run well and meet the goals to be achieved
Службы реставрации и консервации в национальных библиотеках СНГ: состояние и тенденции

The article describes the current status in the restoration units of the national libraries of the CIS countries and considers the achievements of library restorers over the past 5 years; the difficulties they face; and proposals received from experts on the preservation of book monuments and documents from the CIS countries. The author presents the data for analysis taken from the survey in a form of questionnaire conducted by the Russian State Library (RSL) on the eve of the international scientific and practical seminar “Document Restoration: Conservatism and Innovation”; held in Moscow on April 9—11; 2019. The purpose of the article is to identify the trends in development of restoration activities in the national libraries of the CIS; as well as to raise the level of interest among restorers from the national libraries to the seminar on the basis of the RSL as a platform for professional development; and to stimulate the exchange of experience; knowledge and technology.
Enseñar y aprender en la virtualidad: un relato autoetnográfico sobre el lugar del cuerpo en los nuevos escenarios educativos

Teachers and students build their own ways of doing and seeing as they stay at the university. In this sense, we inhabit these practices, which are characterized by the times and spaces populated by singular discourses, objects, ghosts, looks, illusions and materialities. Our bodies make up this materiality. His presence is essential, for we exist because we are bodies. It is also in them, that our experiences leave traces.Due to the Covid-19 pandemic, during last year, we have been locked down. Our university had to turn its face-to-face activities into virtual ones. Thus, unthinkable scenes turned up. Our practices have been changed, as well as the place of our bodies in them. We have reinvented ourselves, as uncertainty and unpredictability were extreme. We have produced new senses about teaching and learning. Thus, we have experienced a strangeness of the ways we have to do it before, when we met face to face.In this writing, I present, from a research approach and a specific methodology such as autoethnography, an autoethnographic story about the body's place in the new virtual scenes of teaching and learning in college.The objectives of this work are to understand the body´s place in the virtual educational scene and to invite the reader to reflect upon his own corporeality experience when teaching and learning at university in general and in the virtual scenes in particular.
On the search for short chaotic logistic map sequences with good auto-correlation properties

This work presents short chaotic sequences with good auto correlation properties. The studied sequences are synthesized by means of the logistic map function, and being chaotic but fully deterministic, become a good alternative to well-known
ANALISA PENGUJIAN KEKUATAN MATERIAL TROLI PADA SEPEDA BERBAHAN GALVANIS

Along with the development of increasingly advanced technology, the need to facilitate human activities is increasing. Many tools are created to facilitate human activities. Especially work that is heavy and dangerous when humans do it. One of them is the trolley as a tool for transporting goods. The tool in the form of a trolley has a main frame which is the place to be placed for loading. The material used in the main frame of the trolley is hollow galvanized with a size of 20x20x1.5mm. In this study, the analysis and calculation of frame strength using Solidworks software, with a static simulation feature so that the value of the stress that occurs can be known. Based on the results of the test, the maximum stress on the frame is 158,800,000N / m², the deflection is 4533mm, so it is concluded that the trolley frame that uses a hollow galvanized material (Hollow Galvanize) can be said to be able to withstand a load of 30kg, and it is known that trolleys can be used to help transport shopping goods. and bicycles can function according to design.
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

Deep Metric Learning (DML) aims to find representations suitable for zero-shot transfer to a priori unknown test distributions. However, common evaluation protocols only test a single, fixed data split in which train and test classes are assigned randomly. More realistic evaluations should consider a broad spectrum of distribution shifts with potentially varying degree and difficulty. In this work, we systematically construct train-test splits of increasing difficulty and present the ooDML benchmark to characterize generalization under out-of-distribution shifts in DML. ooDML is designed to probe the generalization performance on much more challenging, diverse train-to-test distribution shifts. Based on our new benchmark, we conduct a thorough empirical analysis of state-of-the-art DML methods. We find that while generalization tends to consistently degrade with difficulty, some methods are better at retaining performance as the distribution shift increases. Finally, we propose few-shot DML as an efficient way to consistently improve generalization in response to unknown test shifts presented in ooDML. Code available here: this https URL.
Aratrans the New Transformer Model to Generate Arabic Text

The automated generation of coherent text is an area of natural language processing (NLP) that has received a lot of attention in recent years. Several state-of-the-art language models have been developed capable of automatically generating text structures of a quality close to that of human-generated text.Indeed, many potential use cases are seemingly benign (i.e. automated summarizing of long texts, generation of sporting event recaps, generation of text for entertainment purposes, etc.), while other applications such as propaganda generation and fake news have been identified as real risks associated with this technology.In this paper, we demonstrate a new architecture dedicated to the generation of the text essentially based on the basic architecture of neural network of the transformer type and we compare the results of our model with the basic model GPT-2 in English and GPT-2 in Arabic, to show that generating the automatic text of tweets from our AraTrans model gives better results compared to a powerful GPT-2 model or a GPT-2 model pre-trained on Arabic text.
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction.

Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale behind the sentiment. Existing research efforts are majorly tagging-based. Among the methods taking a sequence tagging approach, some fail to capture the strong interdependence between the three opinion factors, whereas others fall short of identifying triplets with overlapping aspect/opinion spans. A recent grid tagging approach on the other hand fails to capture the span-level semantics while predicting the sentiment between an aspect-opinion pair. Different from these, we present a tagging-free solution for the task, while addressing the limitations of the existing works. We adapt an encoder-decoder architecture with a Pointer Network-based decoding framework that generates an entire opinion triplet at each time step thereby making our solution end-to-end. Interactions between the aspects and opinions are effectively captured by the decoder by considering their entire detected spans while predicting their connecting sentiment. Extensive experiments on several benchmark datasets establish the better efficacy of our proposed approach, especially in recall, and in predicting multiple and aspect/opinion-overlapped triplets from the same review sentence. We report our results both with and without BERT and also demonstrate the utility of domain-specific BERT post-training for the task.
SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents

Many applications require generation of summaries tailored to the user's information needs, i.e., their intent.Methods that express intent via explicit user queries fall short when query interpretation is subjective.Several datasets exist for summarization with objective intents where, for each document and intent (e.g., "weather"), a single summary suffices for all users.No datasets exist, however, for subjective intents (e.g., "interesting places") where different users will provide different summaries.We present SUBSUME, the first dataset for evaluation of SUBjective SUMmary Extraction systems.SUBSUME contains 2,200 (document, intent, summary) triplets over 48 Wikipedia pages, with ten intents of varying subjectivity, provided by 103 individuals over Mechanical Turk.We demonstrate statistically that the intents in SUBSUME vary systematically in subjectivity.To indicate SUB-SUME's usefulness, we explore a collection of baseline algorithms for subjective extractive summarization and show that (i) as expected, example-based approaches better capture subjective intents than query-based ones, and (ii) there is ample scope for improving upon the baseline algorithms, thereby motivating further research on this challenging problem.
PROTOTYPE APLIKASI PENGOLAHAN DATA DISTRIBUSI TABUNG OKSIGEN PADA PT. BUDI NABATI PERKASA

During this time, the system that is currently running at a company is in the process of circulating oxygen cylinders; the recording is still done manually, including incoming and outgoing goods transactions. The Calculation of stock of goods, sales and report making, only recorded in the general ledger. In the old system, there are still often errors, both in calculations and in reporting. Prototype of Oxygen Cylinder Distribution Data Processing Application at PT. Budi Nabati Perkasa, this system is made using a computerized application and aims to make it easier for admin in recording sales and goods transactions so that the process of making reports can be calculated automatically. This system can minimize the occurrence of errors in the process of data recap or manufacture of the report.