Reviewerly/exHarmony huggingface dataset:
NAT: Towards an Emotional Agent

Emotions play an essential role in human behavior. It can be expressed in body language, facial expression, hand gesture, text, and many other ways. While recognizing emotions in human-human interaction is important, some individuals lack this ability. This is the case for individuals who have specific disabilities, for example, people diagnosed with autism, who may suffer from the inability to recognize emotions on faces, text, and figures. Some studies concentrate on developing approaches to assist individuals with this disability. In this regard, one can mention the studies dedicated to creating emotional agents to help in the recognition of emotions. However, there is a gap in studies that focus on the Portuguese language. This article presents an approach to bridge this gap by creating an emotional agent capable of processing voice and text in Portuguese. According to the sentiment present in words, the agent exhibits the emotions Joy, Sadness, and Neutral in a light-emitting diode matrix. Initial experiments indicate that it is possible to display these emotions based on the words' sentiments.
Initializing Ant Colony Algorithms by Learning from the Difficult Problem’s Global Features

Deception, which stems from the tackled problem instance and algorithmic structure, has a tremendous negative impact on the algorithmic performance. An improved ACO called GFL-ACO with a global feature learning strategy is proposed to process the algorithmic initialization. The strategy consists of two parts: a greedy random walking of ant colony and a mean value approach. With the former part, some initialized ants are launched to step forward by a greedy rule till finished a tour. A statistical manner of edge-based relative frequency is used to initial pheromone trails and ants’ starting positions. With the latter part, a mean value calculated from edge-based relative frequency is used to generate ant population size. The experiments on the TSPLIB benchmark show that GFL-ACO can achieve a rather better performance on the standard benchmark.
Content analysis of medical college library websites in Pakistan indicates necessary improvements

Abstract Background Library websites are important for marketing library services and providing access to electronic resources. Objectives To determine the extent and quality of medical college (school) library websites in Pakistan, according to predetermined criteria. Methods A checklist of 40 items was developed from the literature on academic library website evaluation as well as observation of known best practice. The checklist was used on the 45 medical college websites that fitted initial inclusion criteria. Results Of the possible 114 candidates for inclusion, 52 institution websites contained no information about the library, 17 only provided minimum details, leaving 45 medical college library websites that could be included. Library websites lack uniformity, and most of the important features as only three library websites contained more than 20 items from the checklist. The Agha Khan University Medical College, Karachi library website contained the highest (27) number of items. Discussion The findings indicate the design of medical college library websites is generally inadequate in Pakistan. The websites are not performing a useful role in communicating with faculty and students. The findings point to inadequate website design skills among librarians or the lack of co‐operation with professional website designers. Conclusions Marketing of library services and good customer relations demand improvements in the information architecture of medical college library websites as well as continued maintenance of the content to ensure that it is up to date.
Night Motion Detection and Alert System

Closed-Circuit TV (CCTV) system is one of the technologies in the surveillance field to solve the problem of detection and monitoring by providing extra features such as email alert or motion detection. However, detecting and alerting the admin on CCTV system may complicate due to the complexity to integrate the main program with an external Application Programming Interface (API). In this study, pixel processing algorithm is applied due to its efficiency and SMS alert is added as an alternative solution for users who opted out email alert system or have no Internet connection. A CCTV system with SMS alert (CMDSA) was developed using evolutionary prototyping methodology. The system interface was implemented using Microsoft Visual Studio while the backend components, which are database and coding, were implemented on SQLite database and C# programming language, respectively. The main modules of CMDSA are motion detection, capturing and saving video, image processing and Short Message Service (SMS) alert functions. Subsequently, the system is able to reduce the processing time making the detection process become faster, reduce the space and memory used to run the program and alerting the system admin instantly.
Port-Hamiltonian modeling of the vocal folds using bond-graph representation

In this work we obtain the bond-graph representation of the vocal folds, to then obtain a port-Hamiltonian model. This model is based on the mechanical elements that represent the folds in the body cover model (BCM). The obtained port-Hamiltonian system is then discretised using a truncated Taylor series expansion. State and parameter estimation for this discretised model is then performed using an Extended Kalman Filter and Maximum Likelihood, respectively.
Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers

The asynchronous master-worker model is a classic method used to distribute evolutionary algorithms, as it can allow for decoupling of population size from the number of available processors while at the same time being naturally load balanced. While easy to implement, it suffers from an unavoidable choke point: the master process, which must process all results and generate tasks for workers. This work investigates a method for improving the performance of distributed neuroevolution algorithms, which commonly use such a model, that involves offloading costly crossover and mutation operations to the worker processes. To accomplish this, a novel modular congruence class based strategy for generating unique innovation numbers was developed, which requires no additional communication overhead. Experimental results designed to stress test the master process were generated using the Evolutionary eXploration of Augmenting Memory Models (EXAMM) neuroevolution algorithm, after discovering in preliminary results that it suffered from a bottleneck preventing scalability past 432 cores in a high performance computing environment. The results show a statistically significant improvement in throughput (genome evaluations per second) and scalability past 864 cores using this offloading method. Further, this methodology is generic and could be applied to any neuroevolution algorithm which utilize NEAT-inspired innovation numbers.
Influence of Synthesis Parameters on Vulnerability to Side-Channel Attacks

Every cryptographic design has to be secure to fulfil its function properly. As side-channel attacks are becoming easier and easier to perform, designers of secure circuits must pay attention to implementing various countermeasures against these attacks. However, in some cases, their hard work can be thwarted if automatic optimizations invalidate the defences. This work explores the effect of synthesis parameters settings on the vulnerability of the cryptographic designs implemented in FPGAs to side-channel attacks. It focuses on the implementation of Advanced Encryption Standard (AES) with multiple countermeasures against attacks and evaluates the effect of parameters settings on security using Test Vector Leakage Assessment based on Welch's t-test.
An Agile Data Warehouse Virtualization Framework for ROLAP Server

In order to adapt to a competitive business scenario, the decision-making needs to be fast and reliable. In this panorama, agile business intelligence emerges as a resource to provide agile solutions. To achieve agile business intelligence solutions, organizations consider real-time data warehousing a powerful technique. Thus, we propose in this paper a framework based on data warehouse virtualization and real-time data warehousing concepts, called Agile ROLAP. The framework is comprised of an approach designed to be compatible with the main consolidated DW concepts. Furthermore, a set of components that enable the deployment of each step of the Agile ROLAP process was implemented. We evaluated our proposed approach in an experimental study where we deployed dimensional models from three distinct databases. It was analyzed the approach viability and the performance through query performance. The results indicate that the approach is viable, and the performance is satisfactory for no very large databases.
Ad hoc teaming through evolution

Cooperative Co-evolutionary Algorithms effectively train policies in multiagent systems with a single, statically defined team. However, many real-world problems, such as search and rescue, require agents to operate in multiple teams. When the structure of the team changes, these policies show reduced performance as they were trained to cooperate with only one team. In this work, we solve the cooperation problem by training agents to fill the needs of an arbitrary team, thereby gaining the ability to support a large variety of teams. We introduce Ad hoc Teaming Through Evolution (ATTE) which evolves a limited number of policy types using fitness aggregation across multiple teams. ATTE leverages agent types to reduce the dimensionality of the interaction search space, while fitness aggregation across teams selects for more adaptive policies. In a simulated multi-robot exploration task, ATTE is able to learn policies that are effective in a variety of teaming schemes, improving the performance of CCEA by a factor of up to five times.
Elements of Bayesian Statistics

The aim of scientific research is to avoid the pitfalls of our minds and act as rational as possible by translating our theory into a formal model of reality, gathering evidence in an unbiased way and weigh evidence against noise in a controlled way. This chapter introduces the Bayesian approach to statistical modeling from the ground up and illustrates its use for rational decision-making. Probability is derived from set theory and relative frequencies before we dive into Bayes Bayesian thinking. The elements and practical details of statistical modeling are introduced by its two components: the structural part, which typically carries the research question or theory, followed by a rather deep account of the second component of statistical models: the random part.
A Variable Sample Selection Technique for Audio Steganography Re-conciliated with RC4 Cryptography

As real time applications in today’s century, makes use of digital data, security of this data becomes important and essential. Different aspects to be considered while dealing with such digital data are preserving authenticity, make sure that data is not modified in transit and no one else other than intended user can read this data. To fulfil these requirements, many techniques are available to protect this data. Cryptography is to jumble the original information so that unauthorized person can’t see it and that of steganography is to hide the original information. These techniques have their respective pros and cons. The main intention of the presented technique is to re-conciliate cryptography with steganography and give better protection.
History Binding Signature

Digital signatures are used to verify the authenticity of digital messages, that is, to know with a high level of certainty, that a digital message was created by a known sender and was not altered in any way. This is usually achieved by using asymmetric cryptography, where a secret key is used by the signer, and the corresponding public key is used by those who wish to verify the signed data. In many use-cases, such as blockchain, the history and order of the signed data, thus the signatures themselves, are important. In blockchains specifically, the threat is forks, where one can double-spend its crypto-currency if one succeeds to publish two valid transactions on two different branches of the chain. We introduce a single private/public key pair signature scheme using verifiable random function, that binds a signer to its signature history. The scheme enforces a single ordered signatures’ history using a deterministic verifiable chain of signature functions that also reveals the secret key in case of misbehaviors.
Quality Indicators for Designing English Learning Podcasts

Podcasts, one type of mobile-assisted language learning, have been promoted as promising tools in second language (L2) learning. Yet, quality indicators of podcast programs have not been generalized. Applying previous empirical results on predictors of listening comprehension, the purpose of this chapter was to identify English language learning podcast programs in iTunes that were preferred by language learners and teachers and build up a list of the indicators that can be considered for selecting and designing high-quality English language learning podcasts. Participants were 26 intermediate English as second language (ESL) learners at a southwestern American university and two of their listening and speaking teachers. The results revealed that the ESL students and their teachers both preferred podcasts that had interesting topics, natural speed, and clear pronunciation.
On the Question of the Resistance of Code-Based Cryptosystems to Matrix Density Reduction Attacks

Methods for reducing the density of matrices are discussed. These methods can be used to analyze the cryptocomplexity of systems based on error-correcting codes. Lowering the density of matrices can affect both the stability of systems that use low-density codes as a private key, and the stability of general systems in which decryption requires solving the problem of decoding errors of a given multiplicity. The article presents the results of experiments for the considered methods of reducing the density.
Chinese Composition Example Sentence Retrieval System Base on Expression

In order to effectively improve the reader's writing ability, this article has established a Chinese composition example sentence retrieval system based on expressions, and relevant composition example sentences can be retrieved according to the writing keywords and expression methods. This article first constructs a expression clause set, and annotates 11 classic expressions such as narration and description. Then it uses the BERT model to automatically identify the expressions, and finally constructs an example sentence retrieval system based on Solr. Experiments show that the performance of example sentence retrieval is better than that of using keywords directly.
Advancing Cybersecurity for Digital Transformation

Advancing cybersecurity for digital transformation provides opportunities and challenges. Many enterprises are accelerating the digital transformation to reach their customers, suppliers, and other parties over the internet; at the same time cybersecurity has become a serious concern. Cyberattacks have exponentially increased globally. While digital transformation makes the business process more efficient and effective, and increased cyberattacks pose obstacles, threats, and risks on the way. Cyberattacks consist of different types such as political, financial, accessing private and confidential information, ransomware, identity theft, destruction to essential infrastructure and public utilities such as energy, water, telecommunication, transportation, health, and others. This chapter presents case analysis from recent cyberattacks to show the scale, size, and type of impacts within and outside the enterprise. Newer technologies to counter cyberattacks are introduced such as quantum computing, nanotechnologies, artificial intelligence, blockchain that have the capabilities to eliminate cyberattacks.
Design and Development of Gesture Based Gaming Console

Game controllers have been planned and improved throughout the years to be as easy to understand as could reasonably be expected. A game controller is a gadget utilized with games or theatre setups to give contribution to a computer game, commonly to control an item or character in the game. Information gadgets that have been named game controllers incorporate consoles, mice, gamepads, joysticks, and so on. A few controllers are intended to be purposely best for one sort of game, for example, guiding wheels for driving games, move cushions for moving games, and light firearms for firing games. The aim here is to create a virtual environment, where the user is appealed by various gesture controls in a gaming application. A Gesture is an action that has to be seen or felt by someone else (here a PC) and has to convey some piece of information. Now obviously, to create a virtual gaming environment, we need to create a real-time gaming application first. We’ll be designing our 2D and 3D gaming applications through Unity 3D video game engine. The data used in this project is primarily from the Ego Hands dataset. After an input has been taken, and the consequent action has been performed, we’ll use this activity for future development of the model by using Tensor-Flow. The input will be taken through the webcam of the PC which will be accessed and combined to the gaming application and hands dataset by WebGL. WebGL is a JavaScript API for rendering interactive 2D and 3D graphics within any compatible web browser without the use of plug-ins.
Towards Chinese Terminology Application of TERMONLINE

TERMONLINE ( www.termonline.cn ) is a public service platform for terminology knowledge created by the China National Committee for Terms in Sciences and Technologies (CNCTST). The first revision was officially launched on June 15, 2016. The 2rd revision appeared on September 17, 2020. It is considered a “data center”, “application center” or “service center” for standard terminology application in China. This article will show both the special features and application of the TERMONLINE platform.
Emotion-based decision support tool for learning processes : An application with undergraduate students during Covid-19 pandemic

Student stress is a problem that hinders the teaching-learning processes, and that has increased considerably since the beginning of the Covid-19 pandemic. This article introduces a framework for the development of an emotion-based decision support tool for learning processes. As a case study, we consider undergraduate students starting their academic year virtually in the context of a pandemic. Through the application of the PANAS questionnaire and NLP techniques on free-text responses, students' emotions are automatically classified as positive and negative, as well as a level of basic emotions of the Plutchik model. The results allow to identify the most frequent sentiments in students. Also, they show concordances between both measurement instruments and a high capacity for the classification of emotions.
Innovations in Text Analysis: Review of the International Conference MAXDAYS2

The article analyzes the conference held online by the German company VERBI Software GmbH - a developer of the well-known MAXQDA software designed for computerized content analysis of texts. Over the past decade Russian undergraduate and graduate students have been actively using this program in their research work as evidenced by a number of publications including in the "Istoricheskaya Informatika" journal. The author focuses on the dynamics of topics of the annual 2019-2021 conferences and characterizes the latest online conference. The author draws attention to the fact that the online status of the conference resulted in a sharp increase in the number of participants in comparison with previous traditional conferences. The novelty of this study is the fact that the author compares the reports of three conferences focusing on the range of methodological and methodical issues of computerized text analysis, constant update of research tools, new trends in the provision of educational materials to program users including open access to Maxqda Press publications. The article provides useful links to conference materials posted both on the developer's website and on YouTube. The author pays attention to those tools (platforms for online conferences) which are used by software developers to attract the maximum number of participants: free conference registration, user-friendly interface and international aware work (9 languages).
Athetosis Speech and Language Learning Assistant: Case Study

The greatest learning disadvantage that children with motor difficulties present are sustained by the limitations they have to access information, the motor deficit or motor disorder is directly associated with motor difficulties, these are frequently accompanied by alterations in sensitivity, cognition, communication, perception, behavior, which does not allow starting with the regular learning process, the work proposal is to carry out an intervention in the case of a girl with motor disability, athetosic quadriplegia at the level of curricular competencies in correlation with software and hardware applying adaptations and digital ramps in search of implementing an improvement plan through the corresponding evaluation. First, a study of the state of the art is carried out in terms of the therapies used for the inclusion of children in the classrooms, then the guide of therapies that are associated is reviewed in a specific case of the girl to help with this inclusion, it is reviewed inclusive access platforms, support tools, diagnostic and intervention software and the proposal is to generate this interface for access to reading and writing, language learning, and electronic learning as a means that facilitates training, communication and interaction. It is implemented through methodological strategies to acquire the aforementioned skills through the analysis of tools to be used with the customization of hardware and software, a diagnosis is made through the competencies that have been acquired up to this phase of school preparation, a intervention plan so that the tools are coupled to the classroom and the therapies, with a view to using it at home for the assigned tasks, then an analysis of the proposal is carried out and promising advances are presented without the need for a permanence of the tool to its progress motor graph.
General solution to the spectator-first Tantalizer problem

This paper investigates a topic inspired by a magic trick called the “Tantalizer”, which is a card game resembling the well-known Josephus Problem. We study the spectator-first Tantalizer problem with a deck of n-cards and investigate which card is left in the end after a series of dealing operations. A formula and an algorithm with a running time complexity O(log⁡n) based on the binary form of n are proposed to solve this problem.