Reviewerly/exHarmony huggingface dataset:
Exploratory Data Analysis on Cervical Cancer Diseases

Cervical cancer is a major public health problem that mainly affects women with active sexual life. Exploratory Data Analysis is an essential technique to identify outliers, check assumptions, discover patterns, and determine associations between a set of variables. This technique plays an important role in the health area to assist researchers to find insights in the data and relevant aspects about diseases. In this paper, risk factors that cause cervical cancer disease are studied using data analysis tools for identifying relationships and hidden patterns in the data. The analysis is carried out using data related to women with human papillomavirus that is a risk factor for cervical cancer. The data were extracted from an electronic health record system. The dataset contains 143 records with 19 variables related to demographic information, cervical cancer risk factors, and cervical cancer cytology results of patients. To analyze the variables involved in the dataset, data analysis, and visualization tools are used.
A Secured Authentication Technique-3D Password

A user's identity ensures by the process of Authentication. Authentication is an important security service provided to the system by the different authentication algorithms. The algorithm includes Text password, Graphical password, Biometric password, Token authentication, etc. Text password mostly includes simple text like names, etc. And text passwords can be easily cracked. Biometric identifiers include fingerprints, etc. In Graphical password, the user selects images in a specific order, presented in a GUI. And tokens are smart cards like credit cards etc. But cards can be stolen, and some people don't want to carry their cards. Therefore, the secure authentication scheme introduced called 3D PASSWORD". It is a combination of all these schemes that is Recognition + Recall + Token + Biometric. 3D password is a multi-factor authentication technique that has a virtual environment that looks like a real-time environment, but it is not a real-time environment. It is more secure than other schemes of authentication.
An Abnormal Data Detection Method Based on Text Classification

With the construction of smart grid and informatization, the power industry has accumulated massive amounts of data. A large amount of equipment status data, user power consumption data, grid operation data, etc. are collected in the grid data center, but there is a lot of noise or abnormal data in these massive data, which affects the follow-up application and analysis. Therefore, for massive data, we need to perform real-time filtering and anomaly detection. According to the State Grid Co., Ltd. technical object type standard rules, this article selects device data in the power industry assets as the experimental objects, and proposes an abnormal data based on text classification. Detection method research, without the need for feature engineering and feature selection, can quickly detect abnormal data to ensure that the corresponding relationship between the types of technical objects and equipment assets is correct. Experimental results show that the proposed method can effectively improve the operating efficiency of anomaly detection and the accuracy of the algorithm, which has practical application value and significance.
A Hybrid Scheduling Approach in the Cloud

The cloud has grown in wide popularity in recent years. It provides metered resources to end-users. The user gets to pay for the resource being utilized. The provision of these resources has become an issue that is to be addressed in the cloud in order to guarantee customer certification. The introduction of task scheduling will assist in curbing this issue. Has scheduling the task to the appropriate resource will guaranty users’ quality of service. In this work, a hybrid genetic algorithm is being proposed. Genetic algorithm works on the basis of natural selection. The work is being validated by using computational parameters from both the user desired and provider desired criteria like time, cost, and throughput, and resource utilization. Then the proposed technique is compared to other scheduling techniques like first come first serve, short job first, and round-robin for more validity. The proposed technique has the best execution rate with a rate of 32.47 ms. The results show that the proposed hybrid GA reduces time and cost. This is a convincing technique for cloud computation.
A user-centred terminology for existing and upcoming ICT devices, services and applications

Users, unfamiliar with the terminology, technical meaning or intended functionality of mobile ICT (Information and Communications Technology) devices and services may be reluctant to use them and miss out on their potential benefits. This also prevents users from exploiting the true potential of ICT and hinders the uptake and use of services, including those of societal relevance. We present an alternative focusing on improving the overall user experience and accessibility through the provision of recommendations for a harmonized terminology, covering more than 500 basic, commonly used ICT features in 19 European languages including English, French, German, Italian and Spanish. Technical Committee Human Factors (TC HF) of the European Telecommunication Standards Institute (ETSI) has initiated this ongoing work, to develop a freely available ETSI document (ETSI Guide EG 203 499 update to be published in the first half of 2022). The poster will present the method used for developing the terminologies and will provide examples of the terminologies to be published in the ETSI Guide.This work is undertaken by ETSI and co-funded by the European Commission (EC) of the European Union (EU) and the European Free Trade Association (EFTA).
Database Encryption Performance Impact on PostgreSQL and MongoDB

The security of data is an essential aspect for organizations because today’s most significant trade-off is information. Although assuring information is safe is the most critical aspect for organizations, there are other concerns about making information secure. Encryption is very used to protect data, but what are the costs in terms of performance? According to Gomes et al. (Database encryption for balance between performance and security, 2021 [1]), encryption has a significant impact on database read and performance. The impact of encryption in different databases was tested using PostgreSQL and MongoDB. We wanted to understand if it was more beneficial to use encryption at the client side (PostgreSQL) or Rest (MongoDB). The results have shown that using encryption at Rest improved the performance of the inserts in the database.
Ready, Steady, Go: professionally designed virtual reality physical training sessions during the COVID-19 pandemic

This article analyses a study conducted as part of the VR technology as a tool for remote physical education (PE-VR) project. The main objectives of the study were to thoroughly evaluate 15-minute fitness training sessions and to determine the extent of participants’ motivation to engage in such sessions in virtual reality (VR) environments. The analysis was conducted using of a qualitative data collection technique known as in-depth interviewing, which in each case was preceded by a 15-minute individual fitness training session held in reality with a professional male (subject: male) or female (subject: female) trainer, according to a predetermined plan. We recruited five participants, both male and female, who differed in their experiences of VR and in the intensity of their weekly physical activity. The results demonstrate that individuals who had already experienced VR technology were the most willing to engage in VR training sessions; those who actively participated in physical exercise and had had never experienced VR were the most reluctant. A key perceived advantage of VR training is the presence of trainers, which seemed to motivate the participants strongly. The subjects exhibited no difficulty performing exercises as they were shown by the trainers. To increase motivation to train, it is necessary to: a) explain the reasons for performing specific exercises; b) adjust the order of exercises during training sessions; and c) utilise the capabilities of VR environments. This article presents solutions that serve to enhance the attractiveness of VR fitness training.
Digital Transformation of Education and Learning Through Information Technology in Educational Management

2021 is a year of anniversaries in the IFIP family. IFIP TC3 WG3.7 is 25 years old. Celebrating anniversaries is a good opportunity to reflect on how far we have come, and what the future holds. The incorporation of digital technology in education reflects an evolution of light and shadow, with many challenges for the future. Information technology has not only been present in the field of education as a teaching-learning tool, but has also played an important role in educational management. This paper analyses the contribution of IFIP TC3 WG3.7 to the development of the field of Information Technology in Educational Management. It contextualises its origins within the framework of the evolution of digital technology and analyses the most recent situation. The challenge for the future is to reflect on the possible contribution of contemporary educational management trends to help create a balance that facilitates the implementation of digital technologies in education while meeting the social objectives that give meaning to the educational system.
Identification of typewritten and handwritten Conjunct Gujarati characters using artificial neural network

Gujarati script has a large number of characters with curvature shapes and complexities. The script can contain a variety of character sets like vowels, consonants, numerals, modifiers, conjunct characters, and other combinations of characters. Different forms of conjunct characters are possible but in this particular paper one of the forms of frequently used conjunct characters is considered for assessment point of view. This paper deals with the identification of typewritten and handwritten conjunct characters. There is no benchmark dataset available for Conjunct Gujarati characters; so, a train and test datasets are created using various features of characters such as a number of open edges, location of open edges in zone, pixels count on a constructed horizontal and vertical line. Artificial neural network is used for the classification of characters and a success rate of 99.4% and 94.1% is achieved in most of the typewritten and handwritten Gujarati conjunct characters respectively.
Data Analysis of New Students focusing on Awareness of Informatics and Consideration of Class Improvement

As informatics education becomes more sophisticated and specialized, individual differences in learners′ understanding and weaknesses may increase. At universities, it is necessary to consider these circumstances when constructing classes. In this study, we investigated consciousness, learning environment, and informatics skills for new students. Furthermore, we classified new students into three types based on their weaknesses and motivation by cluster analysis. Based on the relationship between these types, learning environment, informatics skills, and grades, we examined lesson improvement plans for basic informatics subjects.
MDA Framework for FAIR Principles

This paper shows that the MDA framework can be helpful for designing and implementing FAIR principles. We reached this conclusion based on a focus group interview with six experts, during which we focused on the three MDA components: mechanics, dynamics and aesthetics.
Packaging and integration challenges in a superconducting-qubit-based quantum computer

Realization of a fault-tolerant error-corrected quantum computer based on superconducting microwave qubits places unique demands on devices, packaging, and system integration. We present an overview of some near-term system challenges in scaling up device IO, with a specific focus on device packaging.
Implementing FOLIO at Duke University Libraries to Manage Electronic Resource Licenses

Duke University Libraries implemented several FOLIO applications in July 2020 to manage electronic resource licenses. In this presentation, Abigail Wickes, Julie Brannon, and Virginia Martin describe pre-implementation work, the implementation process, and the opportunities and challenges the library has experienced using FOLIO as an electronic resource management system.
Transfer of Information Derived from the Content of Virtual Products of Mass Distribution

The Web Sites have different characteristics, information content and can be designed with many different purposes. In educational environments this kind of objects can be used as virtual classrooms to organize information., It has been detected that one of the factors that modifies and guides the inter-action processes with a person as well as the activation of the Focus Atten-tion subsystem in these Virtual Products (VP) is the kind of information that these objects contain. On these preliminary studies based on the use of net-works, the behavior of the activation of sensory mechanisms in relation to the compositional elements that integrate the VP was analyzed in a group of university students in the Design area. The results shown that there was a transfer of information from TOP to BOTTOM type. The intention of these studies is to understand the particular behaviors that are derived from these massive objects.
AI System Qualifies as Inventor

Thaler v Commissioner of Patents (Dabus); with case note by Mark Summerfield
Outsourced Computation for Learning

During machine learning tasks, the trainers could suffer some bottlenecks on resources of computation, communication, and storage. With the rapid development of Internet services, cloud computing provide a solution for large scale computations, which is the so-called outsourcing paradigm. Through the outsourcing computations, a resource-constrained device can delegates its computation tasks to cloud servers in a pay-per-use manner. In this way, it enjoys the unlimited computation resources if they have enough bandwidths. Moreover, if we see the machine learning task as a special computation, the trainer that wants to build a model can avoid large cost on deployment and maintenance of learning algorithms by the outsourcing paradigm.
RepBFL: Reputation Based Blockchain-Enabled Federated Learning Framework for Data Sharing in Internet of Vehicles

Internet of Vehicles (IoV) enables the integration of smart vehicles with Internet and collaborative analysis from shared data among vehicles. Machine learning technologies show significant advantages and efficiency for data analysis in IoV. However, the user data could be sensitive in nature, and the reliability and efficiency of sharing these data is hard to guarantee. Moreover, due to the intermittent and unreliable communications of various distributed vehicles, the traditional machine learning algorithms are not suitable for heterogeneous IoV network. In this paper, we propose a novel reputation mechanism framework that integrates the IoV with blockchain and federated learning named RepBFL. In this framework, blockchain is used to protect the shared data between the vehicles. The Road Side Units (RSU) select the high reputation vehicular nodes to share their data for federated learning. To enhance the security and reliability of the data sharing process, we develop the reputation calculated mechanism to evaluate the reliability of all vehicles in IoV. The proposed framework is feasible for the large heterogeneous vehicular networks and perform the collaborative data analysis in distributed vehicles. The experimental results show that the proposed approach can improve the data sharing efficiency. Furthermore, the reputation mechanism is able to deal with malicious behaviors effectively.
Geometric based histograms for shape representation and retrieval

In this paper, we present a new approach for shape representation and retrieval based on histograms. In the drawback of the proposed histograms descriptor, we consider the concept of curves points. This integration in the proposed histogram-based approach is quite different since geometric description is stored in histograms. The proposed description is not only effective and invariant to geometric transformations and deformations, but also is insensitive to articulations and occluded shapes as it has the advantage of exploring the geometric information of points. The generated histograms are then used to establish matching of shapes by comparing their histograms using dynamic programming. Experimental results of shape retrieval on different kinds of shape databases show the efficiency of the proposed approach when compared with existing shape matching algorithms in literature.
Assessing competitiveness in the MENA banking sector in the context of the quality of institutional variables and political conflict risk

This paper investigates competitive conditions and the role of institutional environments and political risk as revenue and profitability drivers for commercial banks in the Middle East and North Africa (MENA) region. I examine an extended period (1999-2015), consisting of political and economic unrest and transformation that includes the 2007 global financial crisis and the recent Arab uprisings of 2011. The Panzar-Rosse model, competition indexes and Arrelano-Bond and GMM methodologies have been employed to examine such issues. The findings indicate that MENA banks are still operating under monopolistic competition conditions, and banks' profitability is affected by competition indexes. With regards to political instability, bank revenues and profitability are negatively affected by such matters. The findings are beneficial in terms of valuable policy implications for the optimal structuring of these countries' banking systems.
Application of Big Data Technology in English Smart Teaching

In recent years, in order to improve the level of English teaching, a series of new technologies represented by big data technology have been widely used in English teaching. Based on this, the article combines the actual needs of teachers and students under the current ‘smart English teaching’ perspective. Based on big data technology, it builds and tests an English smart teaching system platform, which shows the results. The system platform can realize a variety of functions, and it is expected that it can significantly improve the effect of English teaching and learning.
Hardware acceleration scheme of Compressed Position Report based on FPGA

To solve the problems of poor real-time performance and high cost of complex test equipment structure of the existing implementation scheme of CPR coding in 1090ES data chain, an FPGA-based implementation method of CPR coding is proposed. The accelerated coding RTL circuit for single-precision floating-point data is designed using Verilog HDL, simulated by Altera-Modelsim, and compared with the traditional coding method to prove the advantages of the method in terms of computing speed and accuracy. The method is of great significance in improving coding efficiency, reducing device cost, and reducing size, and laying the foundation for specialized ASIC chip design.
Desmoecological approach to ecological culture formation during professional training of pedagogical university students

Modern humanity lives in the era of the third millennium, in a period of a huge number of global environmental problems. The majority of environmental scientists attribute the low level of ecological culture of the individual and society as a whole to the main cause of the global environmental crisis. Currently, environmental security has become a dominant element of the national security doctrine. The term ecological culture itself considers an individual to be a subject of public relations and relations, introduces it into various types of activity interaction between society and nature, due to certain reasons that are associated with technology, exchange and consumption, with the attitude to property, as well as with certain norms, rules, laws, services, codes, etc. Analyzing the works of scientists and the experience of interaction between the environment and society, ecological culture includes a great potential, is the guiding force of the scientific and technological revolution. It is the teacher who plays a central function in the development of the ecological culture of youth. During the training sessions and during extracurricular hours, teachers should form a complex of scientific knowledge, worldviews, and ideas among students that the global environmental crisis, which may soon turn into an environmental catastrophe, poses a huge danger to all mankind. These phenomena can be prevented only with the help of targeted environmental protection activities. Environmental protection activities include a set of environmental knowledge, skills and abilities that students can master in the process of special education and training in an educational institution (school, vocational school, university). It is necessary to have a reliable level of elementary ecological concepts from an early age, and this suggests that the teacher must be sufficiently competent in this matter. He or she must have the skills to apply theoretical knowledge in practice and develop this skill among students. But as practice shows, in most cases, teachers themselves are not yet ready to implement this function. This is manifested in the fact that they do not have enough skills to adequately assess the state of the modern natural environment, to carry out environmental protection activities. This paper substantiates the effectiveness of the desmoecological approach aimed at ecological culture formation among pedagogical university students. The authors defined the content of the conceptual and terminological composition of the pedagogical categories ecological culture and desmoecological approach, developed a model of the integrative course Ecological culture of the future teacher.
Secure Cooperative Learning in Early Years

Artificial Neural Networks (ANN) has been motivated right from its inception by the recognition that the human brain, which is a highly complex, non-linear, and parallel-computing, works in an entirely different way from the conventional digital computer. Viewed as an adaptive machine, an ANN is a massively parallel distributed processor made up of simple processing units, which has a natural propensity for storing experiential knowledge and making it available for use.
Managerial Conflict Among the Software Development Team

Requirement engineering is one of the most essential and first steps of software development. This phase plays a vital role in the success of software. In this paper, we focus on managerial conflict, one of the types of software conflicts in a particular stage of software development that is a development phase. As there are many stakeholders and massive requirements, conflict comes across. This research proposed a framework to identify the cause of managerial conflicts and respond to these conflicts among the development team to solve them. The proposed framework helps to enlighten conflict management skills in the development team to increase productivity. When the development team knows how to work effectively in the face of managerial conflicts that will undoubtedly come their way, they can more easily make decisions quickly. Those decisions will help to prevent software from delayed deployment and failure of software.