Reviewerly/exHarmony huggingface dataset:
Investigation of Robustness of Nanoelectronic Structures Based on Resonant Tunneling Elements

Multi-input logic gates based on two-level logic cells MOBILE have short (picosecond) switching times and higher functionality due to the ability to implement logic functions with fewer gates. This creates good prospects for the development of ultra-high-speed FPGAs with a high degree of integration, which are required for organizing high-performance computing. However, the extremely high sensitivity of resonant tunneling elements to changes in the energies of quantum states requires an assessment of the stability of such structures to external influences in real operation. In this work, the problem of assessing the stability of nanoelectronic structures that include resonant tunneling elements is considered. The method for studying the robustness of logic cells MOBILE based on a resonant tunneling diode and an НВТ transistor was proposed, making it possible to find an external interval estimate of the output voltage of the device under study for given interval models of the initial components. The technique is based on the use of systems of topological and parametric equations written in finite increments. It was shown that the proposed decomposition principle for the initial interval model ensures the algorithmic solvability of the problem posed. A computational algorithm for calculating processes in a two-level logical cell MOBILE has been developed. The algorithm provides for step-by-step integration of interval differential equations and solution of interval nonlinear algebraic equations at each step of integration using Kaucher interval arithmetic. The obtained results of the study of processes in a two-level logic cell MOBILE create prerequisites for expanding the field of application of resonant tunneling devices in high-speed monolithic integrated circuits.
How Do the Probabilities Arise in Quantum Measurement?

A satisfactory resolution of the persistent quantum measurement problem remains stubbornly unresolved in spite of an overabundance of efforts of many prominent scientists over the decades. Among others, one key element is considered yet to be resolved. It comprises of where the probabilities of the measurement outcome stem from. This article attempts to provide a plausible answer to this enigma, thus eventually making progress toward a cogent solution of the longstanding measurement problem.Quanta 2021; 10: 65–74.
The Student Attendance Control System Based on Face Recognition

Currently, one of the significant factors for improving the quality of training of specialists is the control of student attendance. This process can be automated. The paper suggests an approach to building a student attendance control system based on face recognition technology, which allows you to identify many people at the same time without direct contact with them and without using expensive equipment. This approach is based on the convolutional neural networks RetinaFace and ResNet, selected based on the review of modern methods of facial recognition presented in the paper. The architecture of our attendance control system is complemented by image preprocessing procedures, which, according to our proposed method based on the BREN measure, check the image quality and, if necessary, apply algorithms to the image to reduce noise, sharpen, increase brightness and align colors. The results of computational experiments are presented, which have shown a higher efficiency of the proposed approach compared with analogues.
Teacher's Digital Competencies. A Systematic Review in the Latin-American Context

Currently, more than 290 million students in the world are not attending classes due to the pandemic caused by COVID-19.In this sense, many educational centers have adapted classroom teaching to a non-classroom setting in response to the crisis.However, the change of modality from face-to-face to virtual education cannot suppose only a decision in which it is intended to replace the first one using some computer tools as video conferences.With this preamble, the need to systematically map digital competencies in Latin American higher education teachers raises since there are no records of the status of teacher's digital competencies in this part of the world before the pandemic.Therefore, this work examines the scientific literature published in the Web of Science, Scopus, ACM, IEEE, and Science Direct databases from 2004 until 2019.The Kitchenham method applied for the systematic mapping allowed determining quantitative and qualitative results such as year of publication and documentary sources with the most significant number of papers.The main contribution of this research is the areas found of teachers' digital skills that are considered relevant in the Latin American context and its differences with other models.Finally, a discussion of the results and conclusions serves as a starting point for future research in other geographic areas and preliminary information to determine teachers' training needs to face the crisis.
A Citizen's Guide to Navigating Information Disorder

This is a class project for Colorado State University's Fall 2021 POLS492-004 Senior Capstone
Monocular weakly supervised depth and pose estimation method based on multi-information fusion

The depth and pose information are the basic issues in the ﬁeld of robotics, autonomous driving, and virtual reality, and are also the focus and difﬁcult issues of computer vision research. The supervised monocular depth and pose estimation learning are not feasible in environments where labeled data is not abundant. Self-supervised monocular video methods can learn effectively only by applying photometric constraints without expensive ground true depth label constraints, which results in an inefﬁcient training process and suboptimal estimation accuracy. To solve these problems, a monocular weakly supervised depth and pose estimation method based on multi-information fusion is proposed in this paper. First, we design a high-precision stereo matching method to generate a depth and pose data as the "Ground Truth" labels to solve the problem that the ground truth labels are difﬁcult to obtain. Then, we construct a multi-information fusion network model based on the "Ground truth" labels, video sequence, and IMU information to improve the estimation accuracy. Finally, we design the loss function of supervised cues based on "Ground Truth" labels cues and self-supervised cues to optimize our model. In the testing phase, the network model can separately output high-precision depth and pose data from a monocular video sequence. The resulting model outperforms mainstream monocular depth and poses estimation methods as well as the partial stereo matching method in the challenging KITTI dataset by only using a small number of real training data(200 pairs).
Malaria Parasite Detection in Thick Blood Smears using Deep Learning

Malaria parasitized detection is very important to detect as there are so many deaths due to false detection of malaria in medical reports. So analysis has gained a lot of attention in recent years. Detection of malaria is important as fast as possible because detecting malaria is difficult in blood smears. Our idea is to build a transfer learning model and detect the thick blood smears whether the presence of malaria parasites in a drop of blood. The data consists of 5000 each infected and uninfected data obtained from the NIH website. In this paper, I propose to use three different types of neural networks for the performance evaluation of the malaria data by transfer learning using CNN, VGG19, and fine-tuned VGG19. Transfer learning model performed well among various other models by achieving a precision of 98 percent and an f-1 score of 96 percent.
Determination Of The Main Ways To Improve The Efficiency Of Higher Education Institutions In A Post-Pandemic Context

The article highlights the problem of the effectiveness of the learning process in higher education institutions in the post-pandemic. Today there are changes in the labor market, and more and more professions need to be updated. This affects the quality of higher education both in Europe and elsewhere, so many higher educational institutions (national, public, private) have appeared, which primarily care about the number of students, and not about quality. In an environment where the pandemic has significantly changed the learning process, it is very important to find new ways to improve its effectiveness. Now there is a transition from an industrial society to a society of obtaining knowledge in conditions of post-pandemic development; This means that there is a transition to mass education, and then to general higher education (coverage of more than 70% of young people) and the need to train a large number of people with average abilities. In addition, in higher educational institutions, in particular in universities, there are still imperfect academic programs in the basics of science, compiled by teachers with different levels of training in the context of post-pandemic development.
Analysis Of Payment Accounting System At Pt Aplus Pasific

To find out whether a company is a company that has a good and correct system, a control system is needed that can make the company more thorough and have more specific and good payroll data. The internal control system is one of the accounting information systems. implemented by the company in achieving its corporate goals. In realizing a good and appropriate company system, an analysis and evaluation is needed. Where it is expected to be able to prevent fraud that can occur within a company. The analytical method used is Flowchart (Flow Chart), an analytical technique used to describe several aspects of an information system in a clear, concise, and logical manner. Flowcharts use standard symbols to describe through pictures the transaction processing procedures used by the company and the flow of data through the system. The benefits of this system to help clarify complex processes in the decision-making process. The conclusions obtained from the Payroll Accounting Information System Analysis, the company seeks to implement the accounting function properly. However, the company has not implemented a payroll information system that is more complex so that it can cause errors in the payroll system within the company.
COMPUTER GAMES AS A COMPONENT OF CULTURE AND A SUBJECT OF CULTURAL RESEARCH

The purpose of the article is to characterize computer games as a component of culture and a subject of cultural research. The methodology involves distraction from the technological aspects of the genesis and implementation of computer games and is determined mainly by the humanitarian guidelines for the phenomenon under study. Thus, the methodological principles are based on the cultural research concept of computer games as a value of modern culture. The scientific novelty is that for the first time in Ukrainian cultural research the need to study computer games as a component of culture is actualized. Conclusions. The article highlights the need for cultural research of computer games as a full and equal component of culture. Attention is paid to the scale of the computer games spread, their importance for culture and the individual, as well as the impact on various spheres of human life. Conclusions. It is emphasized that the issue of the creation and functioning of computer games in modern society is an inexhaustible source for further research, including in cultural research. Computer games are a wide “field” for the application of the latest IT developments, philosophical ideas, and artistic innovations. Therefore, this issue will remain in the focus of research not only for cultural scientists but also for philosophers, educators and psychologists, sociologists, economists, and jurists, given the pace and scale of the information spread and communication technologies, and most importantly their complexity.
The Teachers' Opinion about Online Learning Process for Children with Special Educational Needs

Communication in the online environment represents a real evolution for the whole society, hence for the educational system but because the whole change took place in a short span of time, the education has faced an unencountered challenge up to now. Component of the informational society, the educational dynamic and open system promotes nowadays ways of achieving the instructional educational process, offering to the teacher a multitude of organisational and functional variants. However, in the case of children with special educational needs, there are many barriers in the way of achieving their right to education in the virtual space. The present study consisted of achieving an inquiry-based questionnaire, applied to the teaching staff who works in inclusive education centres and to those who have students with different deficiencies and special educational needs in their class. The results of the study highlight both the difficulties and the opportunities of achieving a didactic activity in the online environment for students with special educational needs.
Strategy Analyses Study For Evaluating Sport Activities on University of Baghdad Colleges

The research aimed at identifying the results of strategic analyses for evaluating sports activities as well as identifying the differences between scientific and humanity colleges and their role in sports activities. The subjects were (54) faculty members in students activity/ sport activities in (17) colleges affiliated with the University of Baghdad. The results showed a lack of interest in sports activities as well as administrative obstacles that hinder students’ participation in sports events. Finally, the researcher recommended the necessity of encouraging students to participate in sports activities and increasing the university’s financial support.
Methodology, Technology and Practice of Organizing Media Education Seminars and Workshops for Teachers on Promoting Interethnic Tolerance in the University Student Community

The relevance of improving the methodological training of present-day university teaching staff is due to the dynamic changes taking place in the system of higher education.The article presents the experience of conducting scientific and methodological seminars and workshops for the pedagogical community.The purpose of the seminars for teachers on promoting university students' interethnic tolerance by means of media education is to familiarize teachers with the leading methods, technologies and practical techniques of media pedagogy based on analysing media texts of different types and genres in the context of developing the culture of interethnic communication, constructive dialogue of university students in the media sphere.The authors describe the methodological and organizational aspects for teachers to use in their further professional activities in the course of integrating media education into social sciences and humanities.
A Part Invariance Network for Cross-Domain Person Re-identification

This paper addresses a domain adaptive person re-identification network to learn representations across domains for a challenging task: exploiting more robust features from a labeled source domain dataset and an unlabeled target domain dataset. Although convolutional networks have achieved high accuracy in single-domain re-identification task, the performance of trained models slumped in a new dataset. Current methods focus on global features, but part-based features can offer more details of pedestrians, which was been proved in recent works. In this paper, we consider local features as part invariance to reduce the gap between domains and learn discriminative features for cross-domain person re-identification. A part invariance network is proposed which implements a memory to store features extracted in the target domain to reduce camera and neighborhood invariance to improve the adaptability of the model. Experiments conducted show that the invariance proposed in this paper outperforms the existing methods by a large margin.
INTRODUCING THE ENGLISH LANGUAGE IN PRIMARY SCHOOL = FADING AWAY AN ETHNIC LANGUAGE AMONG FUTURE YOUNG GENERATION

The Indonesian government puts an English lesson at the primary school. On the other hand, it has an intention to preserve local languages. The presence of the two additional lessons in the same school invites a certain problem. Through the questionnaire distributed randomly to 26 primary school parents whose children learn English and Javanese at school in 4 different cities like Surabaya, Sidoarjo, Gresik, and Malang, it could be found out that many students got the competencies of lowering the usage of local language at home, switching codes, lowering competence in implementing Javanese script and constructing sentences, unwilling to watch Javanese news, lowering local culture appreciation, and lowering the usage of local language among peers. Furthermore, in the comparative in English and Javanese learning the students had a lower interest in competing for language, appreciating culture, and literacy in Javanese.
Deep Learning for Adaptive Modulation and Coding with Payload Length in Vehicle-to-Vehicle Communications Systems

Adaptive modulation and coding (AMC) technique plays an important role in vehicle-to-vehicle (V2V) systems. It enables smart vehicles to keep a good quality of communication for a better driving experience. However, the existing AMC methods for V2V system did not consider multiple scenarios and the amount of calculation is relatively large. In this paper, we propose a simple convolutional neural networks (CNN)-based AMC method which can extract features of channel and noise estimation from receiver, the transmitter will adjust in the light of modulation strategy to ensure the quality of V2V communication. Simulation results reveal that our proposed method performs better in terms of packet error rate (PER), throughput, classification accuracy with a lower prediction time.
Ant Colony Optimization Algorithm for Fuzzy Transport Modelling: InterCriteria Analysis

Fidanova, Stefka Roeva, Olympia Ganzha, MariaPublic transport plays an important role in our live. It is very important to have a reliable service. Up to 1000 km, trains and buses play the main role in the public transport. The number of the people and which kind of transport they prefer is important information for transport operators. In this paper is proposed algorithm for transport modeling and passenger flow, based on Ant Colony Optimization method. The problem is described as multi-objective optimization problem. There are two optimization purposes: minimal transportation time and minimal price. Some fuzzy element is included. When the price is in a predefined interval it is considered the same. Similar for the starting traveling time. The aim is to show how many passengers will prefer train and how many will prefer buses according their preferences, the price or the time. The InterCriteria Analysis (ICrA) is applied over numerical results obtained from ACO algorithm in order to estimate the algorithm performance. The ICrA results show that the proposed ACO algorithm performs very well.
Universidad, estudiantes y comunidad virtual de aprendizaje WhatsApp como promotor para la construcción de un nuevo espacio tecnológico, geográfico y social

This study researches the IT appropriations that students make to access online study materials, considering their digital practices on social networks from a selfadministered questionnaire (N&nbsp;=&nbsp;1300), focus groups (N&nbsp;=&nbsp;22), and an in-depth interview with the school’s Virtual Learning Environment coordinator. The combined application of these techniques confirms that students have created a new technological and netlike scenario by using WhatsApp to communicate and mediate information, transforming their study practices, appropriation of institutional information and formal and informal study materials. Findings, future research and implications are discussed in the context of a virtual learning community that we call: new technological, geographical and social space.
Measuring the Effectiveness and Validity of Employees Annual Confidential Report (ACR) and Its Applicability: A Case Study of Abdul Wali Khan University, Mardan

ACR system is being used as a performance management and evaluation tool in AWKUM for the last five years since its inception as a Public sector university in KPK, Pakistan. The main purpose of this study is to find out that whether ACR system do fulfill the requirement of an effective and efficient Performance evaluation and management tool. What employees think of this system? As any excellent performance management system plays a very vital role in the success of any organization.
Indefinately:Indefinately

This work "indefinitely" tells the epitome of the earth and future urban pollution. In contemporary society, high walls have been built between people, and people living in cities are basically replicas. We use VR technology to create a surreal world in VR helmets, focusing on spiritual pollution and environmental pollution. In this ambiguous world, how can people find themselves in the bustling maze of nothingness? Through the three scenes of tomb forest, acid rain wasteland and hazy village, the experimenter uses the handle to understand human diseases, disasters and pollution in the past[Ypsilanti et al., 2018].They also picked up the photo fragments of "Lucas" representing hope and felt the fear of being lost in the spiritual maze. In this scene, they become poor people who are lost and polluted in their souls. At the end of the scene, the experimenter found a door full of hope, picked up all the fragments of Lucas, took a group photo of Lucas and his daughter before departure, and ended the journey.
Unsupervised methods

The basic aim of all clustering methods is to assign objects to groups (clusters) according to similarities in their specific characteristics. The development of clustering methods has varied in intensity and innovation since the 1960s when they first became popular. Today, in the early 21st century, with huge advancements in computer capacity and capability, elaborate and computationally intensive methods have become the norm and the literature has exploded. Clustering methods are available in most statistical software packages, as well as in machine-learning software and data-mining packages. This chapter provides an overview of clustering methods and covers the following topics: (1) steps toward an appropriate cluster solution, (2) clustering methods, (3) criteria to determine the number of clusters, (4) methods to validate cluster solutions, (5) computer programs, (6) application, and (7) summary and recommendations.
A Genetic-Fuzzy System Algorithm Method for the Breast Cancer Diagnosis Problem

Breast cancer is an important medical problem, especially for women, computer-aided medical diagnosis is very important in terms of prevention and early detection. This paper presents early detection of breast cancer using two methods, namely genetic algorithm and fuzzy inference system which will be used for early detection of breast cancer which will be used by doctors with computer assistance to obtain medical diagnosis of breast cancer in Indonesia. Our research shows that the diagnosis of breast cancer using these two methods has a high level of accuracy.