Reviewerly/exHarmony huggingface dataset:
IoT Based Smart Home for Paralyzed Patients through Eye Blink

Newly designed high-tech devices are implanted in the patient's body to helphim or her resume daily activities. Especially paralysis patients, such as tetraplegics, who suffer greatly due to their physical limitations. It is now critical to create a device that can assist paralysis patients such as tetraplegics. Furthermore, people are eager to digitize their everyday lives in order to reduce physical activity. To meet these criteria, it's past time to create a framework that can assist Tetraplegic patients as well as those who want to live a more productive and relaxed life. After much research in the lab and on the internet, we came up with the idea of creating a device that would allow an individual to control any appliance they use in their daily lives with less physical effort. We came up with an idea for creating such a device that we can use to automate our home electrical appliances by blinking our eyes. While several prototypes have been developed in the past, the majority of them are not user-friendly or provide creative solutions. The project's goal is to create a home automation device based on an eye blink sensor that is small in size and easy to use to power home electricity appliances. This will also help to minimize energy waste and enable a paralyzed patient to regulate light and fans without the need for assistance from others. The constant demand to enhance the everyday living conditions of paralyzed patients and people in general serves as a catalyst for newer technology growth. Smaller smart devices are now able to perform functions that were previously done by large conventional computers. The creation of the flickering sensor, which is used in robotic home designs for people with disabilities, is discussed in this article. This sensor can distinguish between intentional and accidental blinking, which allows paralyzed patients, especially quadriplegics, to organize their home devices without assistance. Furthermore, this system is equipped with a Bluetooth module, allowing the patient to receive alerts and updates without having to remove the device from his or her body. This saves a lot of energy and is simple to install in household appliances. Our system is a solution for paralysis patients who choose to use their eye blinks to control different electric devices and peripherals. Our system will detect the patient's deliberate blinks, decode the signal using a predefined algorithm, and then operate the specified device according to the instructions. To summarize, working with the Arduino Nano and various sensors was a fantastic experience that taught us a lot of useful information. Our initiative will primarily benefit paralysispatients and the elderly. Though we are considering a prototype for the project, our concept has been implemented and tested, but in order to implement it in the real world, many more modifications and equipment are needed. One of the main goals of our project was to assist patients in making their lives simpler, and our system will be complete until we can put it to use in real life and support people.
Chapter 17. Logic Tensor Networks: Theory and Applications

The recent availability of large-scale data combining multiple data modalities has opened various research and commercial opportunities in Artificial Intelligence (AI). Machine Learning (ML) has achieved important results in this area mostly by adopting a sub-symbolic distributed representation. It is generally accepted now that such purely sub-symbolic approaches can be data inefficient and struggle at extrapolation and reasoning. By contrast, symbolic AI is based on rich, high-level representations ideally based on human-readable symbols. Despite being more explainable and having success at reasoning, symbolic AI usually struggles when faced with incomplete knowledge or inaccurate, large data sets and combinatorial knowledge. Neurosymbolic AI attempts to benefit from the strengths of both approaches combining reasoning with complex representation of knowledge and efficient learning from multiple data modalities. Hence, neurosymbolic AI seeks to ground rich knowledge into efficient sub-symbolic representations and to explain sub-symbolic representations and deep learning by offering high-level symbolic descriptions for such learning systems. Logic Tensor Networks (LTN) are a neurosymbolic AI system for querying, learning and reasoning with rich data and abstract knowledge. LTN introduces Real Logic, a fully differentiable first-order language with concrete semantics such that every symbolic expression has an interpretation that is grounded onto real numbers in the domain. In particular, LTN converts Real Logic formulas into computational graphs that enable gradient-based optimization. This chapter presents the LTN framework and illustrates its use on knowledge completion tasks to ground the relational predicates (symbols) into a concrete interpretation (vectors and tensors). It then investigates the use of LTN on semi-supervised learning, learning of embeddings and reasoning. LTN has been applied recently to many important AI tasks, including semantic image interpretation, ontology learning and reasoning, and reinforcement learning, which use LTN for supervised classification, data clustering, semi-supervised learning, embedding learning, reasoning and query answering. The chapter presents some of the main recent applications of LTN before analyzing results in the context of related work and discussing the next steps for neurosymbolic AI and LTN-based AI models.
Fuzzy sets

During the twentieth century, many attempts were made for augmenting the intelligence of computer software with further capabilities. Adaptive learning algorithms were developed, making possible the initial developments in neural networks (NNs) in the 1950s. A very innovative learning approach was birthed by L. Zadeh in 1965 with the publication of his paper “Fuzzy Sets.” In that paper, the idea of a membership function based on multivalued logic, allowed a solid theory where technology bundled together thinking, vagueness, and imprecision. An engineering design starts from the process of thinking, i.e., a mental creation, and designers will use their linguistic formulation, with their own analysis and logical statements about their ideas. Then, vagueness and imprecision are considered as empirical knowledge to be incorporate in the model implementation of the system. Scientists and engineers try to remove most of the vagueness and imprecision of the world by making precise mathematical formulation of laws of physics, chemistry, and the nature in general. Sometimes, it is possible to have precise mathematical models, with strong constraints on nonidealities, parameter variation, and nonlinear behavior. However, if the system becomes more complex, the lack of ability to measure or to evaluate features, with a lack of definition of precise modeling, in addition to many other uncertainties and incorporation of human expertise, makes it almost impossible to explore such a very precise model for a complex real-life system. Fuzzy logic (FL) and NNs became the foundation for the newly advanced twenty-first century of smart control, smart modeling, intelligent behavior, and artificial intelligence (AI). This chapter discusses the basics and foundations of FL and NNs, with some applications in the area of energy systems, power electronics, power systems, and power quality.
Learning Users’ Visual Preferences for Improving Recommendations

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sequential recommender systems</i> (SRSs) aim to predict the next item interest to a user by learning the users’ dynamic preferences over items from the sequential user-item interactions. Most of existing SRSs make recommendations by only modeling a user’s main preference towards the functions of items, while ignoring the user’s auxiliary visual preference towards the appearances and styles of items. Although visual preference is less significant than the main preference, it may still play an important role in most of users’ choice on items. On the one hand, a user often prefers to choose the item which matches her/his visual preference well from multiple items with the same function. For example, a lady may choose one clothes whose style suits her best from multiple clothes with the same function. On the other hand, some particular users (e.g., young girls) are usually very concerned about the appearances of some special items (e.g., clothes, jewelry). Therefore, the overlook of modeling users’ visual preference may generate unsatisfied recommendations which can not match a user’s various types of preferences and thus reduce the consumption experience. To address this gap, in this paper, we propose modeling users’ visual preferences to improve the performance of sequential recommendations. Specifically, we devise a coupled Double-chain Preference learning Network (DPN) to jointly learn a user’s main preference and visual preference as well as the interactions between them. In DPN, one chain is for modeling a user’s main preference by taking the IDs of items as the input and the other chain is for modeling the user’s visual preference by taking appearance images of items as the input. Finally, the two types of preferences are carefully integrated with an attention module for the next item prediction. Extensive experiments on two real-world transaction datasets show the superiority of our proposed DPN over the representative and state-of-the-art SRSs.
FACTORS INFLUENCING ONLINE VIOLENT BEHAVIORS AND APPROACHES TO EFFECT ONLINE VIOLENT BEHAVIORS

With the development of network information technology, the Internet is gradually playing a more and more important role in people’s work and life. The Internet brings convenience to people, meanwhile, the network violence behaviors become more and more. The purpose of this essay is to analyze the severe reality of online violence and identify possible related factors. Based on previous studies, this study selected two independent variables, social media experience and community behavior, from two aspects of environment and behavior respectively, and analyzed with online violence tendency as the dependent variable. The analysis results prove that social media experience and community behavior both have a positive effect on the behavioral intention of online violence. In order to curb the occurrence of cyber violence, the following suggestions are proposed based on the conclusions drawn above: (1) Establish a correct social media concept. (2) Strengthen social media moral education. (3) Standardize the personal behavior of Internet users.
Biohacking: Changing Yourself to Reformat Science

Тoday the term «biohacking» is used in two main meanings. First, as a part of «garage science» movement, whose members experiment in home laboratories with self-created required equipment. Secondly, as the human enhancement practices aimed at improving the quality of life and the struggle for immortality. In the article, we show the integrity of these two seemingly unrelated aspects. For this purpose we use Fuller&amp;apos;s post-truth concept, which allows us to analyze biohacking in the context of the more general processes of science democratization and the ongoing changes in the knowledge and power distribution system. The article refers to the conceptual metaphors of lions and foxes, which traditionally distinguish two types of elites. According to this division we consider biohackers as «fox strategists». Lion&amp;apos;s conservatism implies status quo maintaining of order power/knowledge apportionment. The foxes try to change the order by questioning the «rules of the game». We demonstrate the joining of do-it-yourself ideology and «care of the self» principles by the case of biohackers interaction at the reddit.com forum, and its section dealing with transcranial direct current stimulation devices. The analysis of this case allows to identify biohackers strategies for academic science boundaries eroding, especially, science and non-science boundaries, individual scientific disciplines and «national sciences». Authors conclude that biohackers can be considered as philosophers of science. In this framework their practices of «personal science» and precedents creating represent the process of rethinking both the essence of science and its rules.
Why apply agile? - A literature review on work outcomes in agile information systems development

Agile information systems development (ISD) has become a popular way to manage IT projects.One of the key claims of agile ISD is to increase employees' work outcomes, such as job satisfaction.However, the research landscape is heterogenous and lacks of a comprehensive overview.In this research, we set out to analyze and synthesize the current state of research on agile ISD and work outcomes by a systematic literature review.Overall, we found a trend of a positive relationship of agile ISD on work outcomes, although there is a variety of constructs that influence this relationship.We propose four directions for future research: perceptions of work, extended quantitative findings, multi-level effects and IT project success.
Variations of double nominative in Korean and Japanese

A personal note.Once Sebastian Löbner and I tried to climb Mount Fuji, the king of mountains.Because of heavy rainfall, we were forced to turn back, and ended in a sauna with a sake bar.The double ascent had became a kind of double passivity; and both of us were disappointed by this failure.The king of cases is the nominative; a double nominative has two kings of di erent descent, sometimes emerging in the passive voice (Leideform in German).This doubling experience made me ultimately decide to write this article.An observation.The double nominative is a very popular subject for Japanese and Korean linguists.There are, presumably, hundreds of papers discussing how it interacts with various elds of Japanese and Korean syntax, mostly parallel in these languages.Not wrongly, Japanese and Korean linguists consider the double nominative to be a unique feature of their languages.A prejudice.A double nominative is not spectacular in itself.Some linguists believe that nominative is assigned in a speci c context, say SpecT.In that case, one has to ask: and what assigns the second nominative?Alternatively one might believe that nominative is the default case (often unmarked), and so a double nominative may be more frequent than was previously believed.In many languages, if (for some reason) accusative is blocked for an object, nominative becomes the automatic case instead by default.A brief abstract.In this paper, various types of alternations bringing about double nominatives are discussed.Nominatives in particular invite focus or topic interpretations, dependent on further circumstances.They also result when more complex structures are formed by extraction.Sometimes, double accusatives and double genitives with similar functions are found.These case-doubling Doris Gerland, Christian Horn, Anja Latrouite & Albert Ortmann (eds.).2014.
Technologies as a factor of social change in the global community

Due to serious inaccuracies in the formed concept of the structure of technogenic civilization, the concept of the organic connection between the natural and social sciences and their laws is currently underdeveloped. As a result, within the framework of each discipline, the solution of many problems associated with the development of technogenic civilization in these disciplines is analyzed. Current article discusses the main problems of the technologization as factor of social change.
Chatbots in primary English class: Focusing on EBS PengTalk

The current study aims to investigate advantages and limitations of using AI-based chatbots in English classes. We propose that the followings are pivotal functions of educational chatbots: voice recognition accuracy, providing feedback, employing meaning negotiation strategies, interests, and Learning Management System. An AI-based chatbot, EBS PengTalk, was employed and the features were analysed. In addition, two surveys were conducted with a student group and a teacher group. The results show that EBS PengTalk has weaknesses in those five functions although voice recognition was reported rather satisfactory. It turned out that students were discouraged to talk to PengTalk because responses and feedbacks from PengTalk were prefabricated and limited with several demotivating features. It also turned out that PengTalk is inadequate to initiate self-directed learning. Thus, in developing educational chatbots, careful consideration should be given to users, teachers and students, not only chatbot features.
Using Systems and Control Theory Ideas in the Design of Quantum Amplifiers

One of the most significant areas emerging in the area of quantum technology is that of quantum computing. Companies such as Google, IBM, and Microsoft have made significant investments in quantum computing to develop small scale quantum computers using microwave frequency technologies involving arrays of superconducting Josephson junctions operating at millikelvin temperatures. Other technologies which have been investigated for the implementation of quantum computers include quantum optics, ion trap devices and solid state quantum technologies. Quantum amplifiers play a critical role in many of these quantum computing technologies in that they are required to read out qubit states and transfer the information to the classical world.
The impacts of knowledge management on organisational entrepreneurship with the moderating role of social capital in the Melli Bank (Mashhad branches)

The main goal of this research is the relationship between knowledge management and entrepreneurship with the role of social capital adjustment in Melli banks' employees. The sample was analysed using Cochran table and two-stage cluster sampling of the 117 employees of the Mashhad's Melli's bank. In this research, four standard questionnaires are used to measure the variables under study. The results of this study showed that there is a relationship between knowledge management and organisational entrepreneurship, and the social capital has a moderating effect on knowledge management and entrepreneurship.
Natural Language Processing

This is the last chapter of the book and focuses on the techniques to tackle text data using PySpark. Today text-form data is being generated at a lightning pace with multiple social media platforms offering users the options to share their reviews, suggestions, comments, etc. The area that focuses on making machines learn and understand textual data to perform some useful tasks is known as Natural Language Processing. Text data could be structured or unstructured, and we must apply multiple steps to make it analysis ready. The NLP field is already a huge area of research and has an immense number of applications being developed that use text data such as chatbots, speech recognition, language translation, recommender systems, spam detection, and sentiment analysis. This chapter demonstrates a series of steps to process text data and apply Machine Learning algorithms on it. It also showcases sequence embeddings that are learned using word2vec in PySpark as a bonus part.
PROCEDURAL MODEL OF MULTIDISCIPLINARY UNIVERSITY TEACHER PROFESSIONAL COMPETENCIES DEVELOPMENT

Currently, the main activity of the University is to meet the needs of the individual in knowledge, knowledge acquires the status of an “independent value” that allows it to adapt and function successfully in the modern world. This requires proper personnel support, development and implementation of a targeted program for creating teaching staff, including modern forms of management of the development of professional competencies of teachers of higher education institutions. The aim of the research is to develop a procedural model for the development of professional competencies of a teacher at a multidisciplinary University. The experience of numerous practices and observations allowed me to say that the professional competence of a teacher is formed based on the directions of his activity, provided that knowledge is updated, the development of value-motivational orientations of the teacher’s personality and the activation of research activities. Under the professional competencies of a University teacher, I see an integrative system of values, personal qualities, professional orientations, motivational activity, abilities, and a set of knowledge aimed at achieving a high-quality result of a teacher’s multifunctional activities (educational, educational, methodical, tutoring, scientific, administrative, social, and managerial). Based on my theoretical research, I have constructed a procedural model for the development of professional competencies of a teacher at a multidisciplinary University. The model is developed taking into account the key clusters of professional competencies of the teacher in the context of the main activities of the formation of personnel policy and strategic development of the educational institution. Summarizing the results of the research, I came to the conclusion that the implementation of the competence model contributes to the implementation of the main goals of continuous professional development of a higher school teacher in the context of education management and the achievement of the final quality result of his activity — a professional, competitive, in-demand University graduate. In my opinion, the development of professional competencies of teachers is focused on the quality of students ‘ education, which is one of the most important indicators of not only the accreditation of an educational institution, but also its image.
The E-Learning Design for Problem Based Learning in Dynamic Fluid Topic using Microsoft Sway

The development of information and communication technology (ICT) based on education can be an opportunity to improve the learning process. Learning in the pandemic era Covid-19 needs media that help teachers and students enthusiasm for learning. The lessons with e-learning are flexible and easy to use. Microsoft Sway 365 is one of the e-learning that can be used because of the features such as presentation, text, images, video, and sound. This study aims to produce e-learning using Microsoft Sway on Dynamic Fluid. This study uses an R&amp;D method with the 4D model but only defines, designs, and develops stages. Media experts and material experts validated the e-learning. The validity test result from content experts showed that the e-learning using sway was feasible with 77.7% and from media experts was feasible with 77.5%. The study concludes that e-learning with Microsoft Sway is flexible, easy to use, can support physics learning with fun, and feasible to be used as a teaching medium that helps students in explanatory activities.
The Data Life Aquatic

&#x0D; This paper assesses data consumersâ€™ perspectives on the interoperable and re-usable aspects of the FAIR Data Principles. Taking a domain-specific informatics approach, ten oceanographers were asked to think of a recent search for data and describe their process of discovery, evaluation, and use. The interview schedule, derived from the FAIR Data Principles, included questions about the interoperability and re-usability of data. Through this critical incident technique, findings on data interoperability and re-usability give data curators valuable insights into how real-world users access, evaluate, and use data. Results from this study show that oceanographers utilize tools that make re-use simple, with interoperability seamless within the systems used. The processes employed by oceanographers present a good baseline for other domains adopting the FAIR Data Principles.