Reviewerly/exHarmony huggingface dataset:
Real Estate Tokens' Traders: Driven by Crypto Hype or Cash-Flow

After solving the double-spending problem of digital assets (tokens), the application possibilities of digital rights and goods have increased enormously over the past years. Even if the market for digital tokens is in its infancy, it is an innovation that has the potential to disrupt how we transfer ownership of financial instruments. The real estate market has been identified as a major market for digital fractional ownership using the Distributed Ledger Technology (Blockchain). In addition to funds and REITs, real estate tokens are an additional form of indirect investment vehicles, which lower the high entry barriers into the asset class of real estate and allow diversification in multi-asset portfolios. We collected the data of real estate tokens in the USA between 2019 and 2021 and trace back the transactions published on the Blockchain. In doing so, we analyze the success determinants of Security Token Offerings and secondary market trading. We disentangle the success on the property and wallet/investor level. We find that in addition to the fundamental factors (cash-flow, size, and property type), also the market sentiment for the local real estate market and general crypto market are relevant for explaining the success of the offering. The attractiveness of the location is of minor importance.
Anatomizing Text Without Training Dataset

Data is generated at a very fast pace every microsecond on various digital platforms such as micro-blogging channels, social media websites, product review applications, contentgenerating platforms, and many more. The Preponderance of this content generated on digital platforms is present in an unstructured format. In addition to the text, it also constitutes colloquial language, images, emoticons, audio, and even videos. So, it is of utmost significance to refine this unstructured data into the valuable form so that decisive insights can be brought from it. These insights can help businesses expand. Nowadays, companies invest heavily in text analytics applications such as recommender systems, customer grievance redress systems to enhance their sales and ultimately increase profit. Natural language processing and Text analytics have abetted organizations to yield informed and strategical decisions. Therefore, this field is gaining tremendous popularity. Many of these text analyticsbased applications like recommender systems require training data set to learn from the data and then produce a result for new data vectors. In this paper, we would like to propose an approach how text analytics can be performed without the need for training data set. It also follows the sequential steps for converting this unstructured data to a piece of structured information for getting high-valued insights. It also creates an analytics dashboard for visualizing data for easy interpretation.
Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm

In the twentieth century, the number of Internet users who utilise social network platforms like Twitter has grown tremendously, allowing them to get access to information from all over the globe. When it comes to intensifying scrutiny of social network data, researchers and scientists are working on a variety of topics. Using the Twitter network, individuals from all around the globe are exchanging their thoughts and feelings on the COVID-19 outbreak in the form of text (tweets). We used the machine learning algorithm to assess the sentiments of tweets (tweets) in the form of text that were posted on Twitter. COVID-19 victims’ positive or negative feelings may be predicted with high accuracy, and we can also anticipate their neutral sentiments (emotions). Based on our analysis of textual data provided on Twitter, we may infer the following: It is possible to keep our friends and family members from being depressed or negative by implementing some of the preventative steps that working-class folks are being negative about.
Secured Network Using Penetration Methodologies

Modern organizations are victims of cyberattacks. Cybercriminals or hackers exploit the latest complex vulnerabilities to collapse the network and access their confidential information. So, the only way to create a secured environment for these organizations is through the identification of available vulnerabilities. Because of using this set of vulnerabilities, the hackers exploit target systems. So, only by identifying and eliminating these complex vulnerabilities initially, a secured network can be created by hackers. One of the major techniques used to implement cybersecurity is vulnerability assessment and penetration testing. In this research paper, the topic discussed is full security for the organization’s network which is implemented using vulnerability assessment and penetration testing methodologies and automated tools. It checks whether the security requirements are fulfilled by the web applications when they are subjected to malicious input data (J Comput Appl 88(3): 0975–8887 [1]) This paper shows the demonstration of how a pen tester can help the organization from overcoming attacks from hackers by using the pen testing report generated after the successful completion of attacking the system like a pro hacker but with the legal consent of the organization. Once the security weaknesses are removed from the network with the help of pen testers, a cent-percent secure network for organizations is evaluated. So, a web application must be pen tested before implementing in live to ensure its security. Good knowledge of vulnerability exploitation is required to eliminate threats from hackers through ethical hacking. In this, the methodologies and tools through which a pen tester will access the confidential data are analyzed and how the organizations could utilize the generated report to overcome the security flaws. A vulnerability-free system can provide more information assurance and system security (Elsevier Procedia Comput Sci 57:710–715 [2]).
IMPLEMENTASI TOTAL QUALITY MANAGEMENT (TQM) DI INSTITUT PTIQ JAKARTA

Research on the implementation of Total Quality Management (TQM) was conducted at PTIQ Institute Jakarta. Research is more focused on the implementation of total quality management in the Graduate Program of PTIQ Jakarta Institute. This research uses a descriptive qualitative approach that is a study that intends to understand the phenomenon of what is experienced by the research subject. Data is obtained through research on documents and interviews with stakeholders.&#x0D; The results of this study are: First, the application of Total Quality Management (TQM) at PTIQ Jakarta Institute has been prepared based on the rector's decision. Completeness of the document has been owned although still not detailed to the lowest level.&#x0D; Second, the implementation is realized by giving duties to lecturers as the embodiment of the Rector's decision. However, the number of task implementers in the field is still not balanced with the number of tasks charged, so that there are some tasks that have not been completed&#x0D; Third, Total Quality Management (TQM) for Private Islamic Religious Colleges (PTKIS), at PTIQ Institute has been working on digitalization models to facilitate and streamline work. Support for creating apps has been provided, although it is still in a simple stage.&#x0D; Fourth, the model of digitalization of devices to manage quality assurance systems and strengthen human resources becomes an important variable in maximizing the quality of quality management in Islamic Religious Colleges
A Study on Korean Culture Education Using Intertextual Picture Book Approach

The purpose of this study was to propose an educational plan using an intertextual picture book approach under the theme of 'family', one of the contents of Korean cultural education. To this end, the study of Korean culture education was reviewed, and a model for Korean culture education was presented by combining a complementary text arrangement among the intertextuality approaches into a picture book. The picture book selected a Korean picture book containing the sensitivity of Korean culture, and the subjects of learning were Korean middle and high-level learners so that active interactions such as talking, discussion, and presentation could occur. It will find the diversity of Korean culture different from the learner's own culture through picture books, recognize, accept, and naturally organize their thoughts through interaction and discussion with learners. Through this study, it is expected to provide a new direction for Korean cultural education through picture books and to be used as a teaching method for Korean cultural education for foreign students in the future.
Arbitrary unitaries in orbital angular momentum of single photons

A simple argument is presented that explicitly shows how to construct an arbitrary quantum gate acting on orbital angular momentum (OAM) of single photons. The scheme can be applied to implement subspace multiplexing, where a single high-dimensional OAM qudit represents effectively a stack of multiple independent lower-dimensional qudits. A special subclass of unitaries composed of single-photon controlled gates is studied in detail and notable examples of the general approach are discussed. The generalization of the simple argument leads to the parallelization scheme, which results in the savings of resources. The presented schemes utilize only conventional optical elements and apply not only to single photons but also to classical light.
Distortions produced in optical homodyne tomography

An analysis of the homodyne tomography process that is often used to determine the Wigner functions of quantum optical states is performed to consider the effects of the spatiotemporal degrees of freedom. The homodyne tomography process removes those parts of the input state that are not associated with the mode of the local oscillator by tracing out those degrees of freedom. Using a functional approach to incorporate all the spatiotemporal degrees of freedom, we find that this reduction in the degrees of freedom introduces distortions in the observed Wigner function. The analysis also shows how the homodyne tomography process introduces a resolution that depends on the strength of the local oscillator. As examples, we consider coherent states, Fock states and squeezed vacuum states.
Design Essentials of AVS

VMware's Microsoft Azure VMware Solution is a first-party Microsoft Azure product that provides one-tenant, vSphere-based private clouds on Azure. There are four VMware technologies: vSphere, NSX-T, vSAN, and HCX. VMware environments can continue to run on-premises with Azure VMware Solution running in Azure datacenters. An environment can be set up in a few hours once the VM resources have been migrated. Azure VMware Solution provides management, networking, and storage services.
Solution Overview of AVS

As VMware's preferred public cloud provider, AVS supports vSphere workloads in the Azure Cloud. In VMware and Microsoft's hybrid cloud solution, customers can move to the cloud and modernize their applications quickly and easily, enabling faster time-to-market and innovation.
AI overtakes humans

An AI has beat the best human players at head-to-head car-racing game Gran Turismo.
Evaluating the effectiveness of automatic image captioning for web accessibility

The web has become a fundamental tool for carrying out many activities spanning from education to work and private life. For this reason, it must be accessible to every user regardless of any form of impairment or disability. Images on the web are a primary means for communicating information, and specific HTML elements were defined to enrich images with textual descriptions, which can be read aloud by screen readers or rendered by braille displays. A relevant problem is that adding a text describing each image published on a website is a demanding task requiring a non-negligible effort for web developers. Several tools based on machine learning have emerged, which can automatically return descriptions for the images. In this work, we evaluate the correctness of their outputs by comparing the generated descriptions with human-defined references. More specifically, we selected 60 images from Wikipedia and their corresponding descriptions as defined by Wikipedia contributors. We then generated the corresponding descriptions employing four state of the art tools (Azure Computer Vision Engine, Amazon Rekognition, Cloudsight, and Auto Alt-Text for Google Chrome) and asked 76 computer science students to blindly evaluate the perceived correctness of the descriptions without being aware of their source. The results show that the descriptions available in Wikipedia are still perceived as the best ones. However, some tools generate good results for specific categories of images, and they can represent proper candidates for the automated and massive addition of image descriptions to websites, helping to increase the accessibility level of the web drastically.
Effect of online Korean education components on learners' educational satisfaction

Objectives This study was conducted for the purpose of finding out what factors should be considered for effective Korean language teaching in Korean language education as a foreign language, and to discuss the direction of Korean language education as a foreign language.&#x0D; Methods After establishing a research tool on the important components of online Korean education and educational satisfaction, a questionnaire survey was conducted with 250 people who were completing an online Korean language course at language schools and language education institutions of three universities in Seoul and Gyeonggi Province. Validity and reliability verification, multiple regression analysis, correlation analysis, and difference analysis were performed based on the collected valid sample.&#x0D; Results First, it was found that the factors that greatly influence the satisfaction of learners with respect to online Korean education are learner factors represented by the learner's learning motivation, readiness for online learning, and the ability to use the platform for online learning. Second, satisfaction with online Korean language education was higher for students from Greater Chinese than for Vietnamese, Also for students with low TOPIK scores, and students with low overall academic standards.&#x0D; Conclusions In order for online Korean language education to be implemented more effectively, it is necessary to use various Korean Wave-based video media to stimulate learners' motivation for Korean language education, as well as professors who consider improving learners' access to online education platforms. In particular, if online pre-learning education is implemented for learners with basic Korean proficiency during both online and offline classes, it is thought that they will become more effective online Korean professors.
A Study on Student's Educational Needs and Perceptions of Science Distance Learning in Elementary School

Objectives The purpose of this study was to identify the priority of educational needs by analyzing the importance and the present implementation level and students' perceptions that affects elementary school science distance learning.&#x0D; Methods For this purpose, a survey was conducted targeting 5th and 6th grade students of 4 elementary schools located in B city. This questionnaire consisted of 11 items on a 5-step Likert scale for educational needs and 6 items of choice and free responses for perceptions of elementary school students for science distance learning. A total of 182 responses were analyzed using SPSS 18.0, excluding 38 data that responded unreliable or omitted responses out of 220 responses.&#x0D; Results As a result, the students’ educational needs of science distance learning in elementary school were prioritized in the students' concentration, participation, and understanding of the learning content, as well as interactions between students and teachers and between students and other students. In addition, as a result of the current status of distance learning based on students' perceptions of elementary school science distance classes, students wanted real-time interactive science distance classes, self-participating classes, and comments and real-time feedback of teachers' feedback.&#x0D; Conclusions This study intends to provide a basis for improving science distance learning classes and for proposing the design of training or education programs on strategies for improving teachers' classes of science distance learning in elementary school.
Continuous quantum clock with high precision and long recurrence time

Continuous clocks, i.e., clocks that measure time in a continuous manner, are regarded as an essential component of sensing technology. Precision and recurrence time are two basic features of continuous clocks. In this paper, in the framework of quantum estimation theory various models for continuous quantum clocks are proposed, and all tools of quantum estimation theory are employed to seek the characteristics of clocks with high precision and long recurrence time. Then, in a resource-based approach, the performances of the proposed models are compared. It is shown that quantum clocks based on an $n$ two-qubit system not only can have better precision than quantum clocks based on a $2n$ one-qubit system but also support long recurrence time. Finally, it is shown that while employing $n$ entangled qubits improves the precision of clocks by a factor of $1/\sqrt{n}$, it inevitably worsens the recurrence time of the clock.
A new true random number generator based on chaotic circuit architecture

In the fields of information security, the application of random numbers is becoming more and more widespread. True random numbers (TRNs) tend to have better randomness and unpredictability than pseudo random numbers (PRNs). Chaotic systems are very suitable for constructing true random number generators (TRNG) due to their periodic infinity, randomicity, long-term unpredictability, high sensitivity to initial values and parameters, etc. However, when chaotic systems are implemented by finite state machines, their dynamic characteristics will disappear, such as periodic infinity and initial value sensitivity, and there are serious safety concerns about the random number generator designed on this basis. In order to address the degradation problem of the chaotic systems, this paper proposes a true random number generator based on the chaotic circuit, implements a complete hardware system, and tests its randomness.
Passwords: The cyber security lesson that was never learned?

Throughout the years, passwords have enjoyed the curious distinction of being both the most maligned and the most widely used aspect of cyber security. We know their weaknesses and people tend to use them badly, yet they continue to be deployed in ways that have allowed poor practices to continue. As a result, the same problems have persisted and we have appeared reluctant to learn the lessons that would improve the situation.
The Effects of Entrepreneurs’ Optimism and Mindfulness on Psychological Well-Being

Purpose – The purpose of this study was to examine the impact of optimism on emotional exhaustion and psychological well-being of entrepreneurs, and the impact of mindfulness on emotional exhaustion and psychological well-being of entrepreneurs and analyzed the mediating effects of emotional exhaustion on relationships between these variables.&#x0D; Design/Methodology/Approach – Data were collected through a questionnaire for 156 CEOs of start-up companies doing business in Seoul and Gyeonggi-do to examine the relationship between research variables.&#x0D; Findings – The findings of this study are as follows. First, mindfulness has been shown to have positive effects on emotional exhaustion, autonomy, environmental mastery, and purpose in life. Second, optimism has been shown to have a partly positive effect on psychological well-being. Third, mindfulness has been shown to have positive effects on psychological well-being. Fourth, emotional exhaustion has been shown to have negative effects on autonomy, environmental mastery, and purpose in life. Fifth, emotional exhaustion has been shown to meditate the relationship between mindfulness and psychological well-being.&#x0D; Research Implications – Results of this study suggested theoretical implications as follows. First, this study has theoretical significance in that empirical analysis found that optimism raises the level of environmental mastery and purpose in life. Second, the findings are theoretical in that empirical analysis revealed that the emotional exhaustion of entrepreneurs had a negative impact on autonomy, environmental mastery, and purpose in life. Finally, the findings are theoretical in that they suggest that emotional exhaustion is an important variable that mediates the relationship between mindfulness and psychological well-being.&#x0D; Results of this study suggested practical implications as follows. First, the results of this study suggest practical implications that it is important to devise a plan to increase the level of mindfulness of entrepreneurs. Second, the results of this study suggest practical implications that it is important for entrepreneurs to make efforts to increase the level of optimism. Finally, the results of this study suggest practical implications that various interests should be paid to prevent entrepreneurs from burning out emotionally.
Are We Ready for Take-Off ? Learning Cockpit Actions with VR Headsets

Pilot training is crucial for learning and practicing operations and safety procedures. The sooner pilots become acquainted with flight deck instrumentation and actions, the faster, safer, and cost-effective the training. Active learning with pilot training includes searching tasks and memorization ability. These aspects then need to be incorporated into the flight simulator training. The use of virtual reality (VR) technologies can in principle take pilot training to the next level. VR technologies such as head-mounted displays can provide a higher sense of presence in the observed sceneries and a more natural interaction than traditional (non-immersive) display systems (e.g. 2D monitors). There is, however, some reluctance towards using immersive VR systems in aviation training and a lack of knowledge on its effectiveness, which results in slow take-up of VR solutions and the dominant use of 2D monitors. This paper aims to assess the performance advantage an immersive system such as a head-mounted display (HMD) brings to pilot training. The focus is on presence, search tasks and memorization. We experiment with actions of learning instrumentation and procedures in the cockpit. We run the same activities on both a HMD and 2D monitor. We gather data on users’ performance in terms of accuracy, the success of actions, completion time and memorization through objective measurements. We also acquire data on presence and comfort through subjective rating.