Reviewerly/exHarmony huggingface dataset:
Calibration method of relative pose between monopulse rangefinder and visible light array camera

The fusion of monopulse laser rangefinder and optical camera information requires the acquisition of their relative pose and attitude parameters. This paper focuses on the relative pose calibration of monopulse laser rangefinder (MLRF) and visible light array camera. Two calibration methods are proposed. The image plane of the infrared camera and the physical plane whose pose of the visible array camera is known are locally registered to solve the difficulty of the calibration of the laser spot relative to the invisible of the visible array camera. Then evaluate the stability of the pose solution of exceed the calibration distance. The experimental results show that the reprojection error of the relative pose solution obtained by finite number of measurements is less than 1 pixel. The position error within the calibration distance is less than 4 mm; Beyond the calibration distance, the position error increases by less than 3 mm for per 10 m.
Poor Economics

This textbook presents an innovative new perspective on the economics of development, including insights from a broad range of disciplines. It starts with the current state of affairs, a discussion of data availability, reliability, and analysis, and an historic overview of the deep influence of fundamental factors on human prosperity. Next, it focuses on the role of human interaction in terms of trade, capital, and knowledge flows, as well as the associated implications for institutions, contracts, and finance. The book also highlights differences in the development paths of emerging countries in order to provide a better understanding of the concepts of development and the Millennium Development Goals. Insights from other disciplines are used help to understand human development with regard to other issues, such as inequalities, health, demography, education, and poverty. The book concludes by emphasizing the importance of connections, location, and human interaction in determining future prosperity.
Economic Growth

This textbook presents an innovative new perspective on the economics of development, including insights from a broad range of disciplines. It starts with the current state of affairs, a discussion of data availability, reliability, and analysis, and an historic overview of the deep influence of fundamental factors on human prosperity. Next, it focuses on the role of human interaction in terms of trade, capital, and knowledge flows, as well as the associated implications for institutions, contracts, and finance. The book also highlights differences in the development paths of emerging countries in order to provide a better understanding of the concepts of development and the Millennium Development Goals. Insights from other disciplines are used help to understand human development with regard to other issues, such as inequalities, health, demography, education, and poverty. The book concludes by emphasizing the importance of connections, location, and human interaction in determining future prosperity.
Education

This textbook presents an innovative new perspective on the economics of development, including insights from a broad range of disciplines. It starts with the current state of affairs, a discussion of data availability, reliability, and analysis, and an historic overview of the deep influence of fundamental factors on human prosperity. Next, it focuses on the role of human interaction in terms of trade, capital, and knowledge flows, as well as the associated implications for institutions, contracts, and finance. The book also highlights differences in the development paths of emerging countries in order to provide a better understanding of the concepts of development and the Millennium Development Goals. Insights from other disciplines are used help to understand human development with regard to other issues, such as inequalities, health, demography, education, and poverty. The book concludes by emphasizing the importance of connections, location, and human interaction in determining future prosperity.
Connections and Interactions

This textbook presents an innovative new perspective on the economics of development, including insights from a broad range of disciplines. It starts with the current state of affairs, a discussion of data availability, reliability, and analysis, and an historic overview of the deep influence of fundamental factors on human prosperity. Next, it focuses on the role of human interaction in terms of trade, capital, and knowledge flows, as well as the associated implications for institutions, contracts, and finance. The book also highlights differences in the development paths of emerging countries in order to provide a better understanding of the concepts of development and the Millennium Development Goals. Insights from other disciplines are used help to understand human development with regard to other issues, such as inequalities, health, demography, education, and poverty. The book concludes by emphasizing the importance of connections, location, and human interaction in determining future prosperity.
Population and Migration

This textbook presents an innovative new perspective on the economics of development, including insights from a broad range of disciplines. It starts with the current state of affairs, a discussion of data availability, reliability, and analysis, and an historic overview of the deep influence of fundamental factors on human prosperity. Next, it focuses on the role of human interaction in terms of trade, capital, and knowledge flows, as well as the associated implications for institutions, contracts, and finance. The book also highlights differences in the development paths of emerging countries in order to provide a better understanding of the concepts of development and the Millennium Development Goals. Insights from other disciplines are used help to understand human development with regard to other issues, such as inequalities, health, demography, education, and poverty. The book concludes by emphasizing the importance of connections, location, and human interaction in determining future prosperity.
Scalable and secure architecture for quantum networks

We demonstrate a scalable quantum local area network design with secure classical communications for data management and instrument control. In this design, secret keys generated from quantum key distribution are supplied to commercial off-the-shelf firewalls to establish encrypted control planes between three remote nodes.
Quantum Key Distribution using True On-demand Single Photons over a Field-Installed Fiber Link

We report on a quantum key distribution field trial in the Copenhagen metropolitan area using true single photons from a quantum-dot-based near-deterministic source. A stable secret key generation rate of 2 kbit/s with 9.6-dB channel loss is achieved with a polarization-based BB84 scheme.
Two Approaches to Visual Relations: Deep Learning versus Structural Models

Humans are remarkably adept at seeing in ways that go well beyond pattern classification. We represent bounded objects and their shapes from visual input, and also extract meaningful relations among object parts and among objects. It remains unclear what representations are deployed to achieve these feats of relation processing in vision. Can human perception of relations be best emulated by applying deep learning models to massive numbers of problems, or should learning instead focus on acquiring structural representations, coupled with the ability to compute similarities based on such representations? To address this question, we will present two modeling projects, one on abstract relations in shape perception, and one on visual analogy based on part-whole relations. In both projects we compare human performance to predictions derived from various deep learning models and from models based on structural representations. We argue that structural representations at an abstract level play an essential role in facilitating relation perception in vision.
EFL Learners’ Vocabulary Achievement and Autonomy: Using Memrise Mobile Application

There has been rapid advancement in the use of technology through which an extensive array of mobile technologies have been introduced to educational contexts. In the same vein, mobile assisted language learning provides new possibilities for improving language learning conditions. The current study was an attempt to find out the effect of Memrise Mobile Application on Iranian upper-Intermediate EFL learners’ vocabulary achievement and their autonomy. To find the effects, a pre-test post-test quasi-experimental study was conducted. Fifty participants were selected from a cluster of 110 students. The Quick placement test as a test of homogeneity was administered to select the upper intermediate learners. Accordingly, 25 participants for each of the experimental and control groups were selected. Memrise Mobile Application was employed during the treatment period for teaching the 504 Absolutely Essential Words book to the experimental group while the control group was instructed the textbook of 504 Absolutely Essential Words. The intervention continued for a period of 8 weeks. A researcher-made vocabulary test and Zhang and Li’s (2004) standardized questionnaire on autonomy were administered. For the qualitative data collection, a semi-structured interview was conducted to determine the participants’ attitudes. An Independent T-test was run the results of which revealed a significant difference between the two groups in vocabulary achievement. However, there was no significant difference between the two groups in autonomy. Moreover, based on the qualitative data it was concluded that the experimental group participants were more motivated holding a more positive attitude.
Video-Based Tasks in Strengthening Speaking Skills of EFL College Students

All teachers, including speaking instructors, should be able to select the proper interactive media for students' speaking practice. Video-assisted learning tasks in the speaking class have not been explored extensively, despite the reality that video-based tasks are an appropriate choice for students to enhance their speaking ability. This study sought to examine the Effect of video-based tasks on students' speaking skills. In this study, a quasi-experimental design was employed, and the speaking scoring rubric served as the research instrument. Both the experimental group and the control group were comprised of participants. Researchers gave pre-and post-tests to identify the impact of the video-based tasks technique on students' speaking skills. Using a simple random sampling technique, 56 students from the English study program in the first grade at Universitas Katolik Indonesia Santu Paulus Ruteng comprised the research sample; then, the data were analyzed by using a t-test with the assistance of the SPSS 24.0 program. The data analysis of the average student score in the experimental and control groups revealed that the experimental group's average score (80,29) was higher than the control group's average score (67,57). This result demonstrates the significant effects of video-based tasks in teaching speaking. The researchers concluded that video-based tasks were helpful for teaching speaking skills. Moreover, video-based tasks significantly impact students' ICT skills, learning independence, and self-evaluation development. The logical implication of this study's findings is that EFL teachers should use videos to teach English, particularly speaking skills, because it has been demonstrated to have a favorable effect on the respondents' speaking ability.
Development of the algorithm for collecting sociological data from universities’ online communities in the social network VKontakte

The article tells about the study of online communities at Saratov State University. In the course of the study, a Python algorithm was developed to search for online communities according to certain criteria and a social graph was built, which was further transformed using a clustering algorithm. The obtained results of the study can be used to increase the recognition of the university in social networks, which will raise the prestige of the university and attract more applicants.
Future Challenges – Artificial Intelligence, Robotics, Privacy, Public Trust

This chapter explores just how emerging technology, which includes artificial intelligence (AI), robotics, drones, Internet of Things, blockchain, and unmanned vehicles, will help shape the future of public management. It explains some of the leading trends in technology and its potential impact for government and society. The chapter points out that with all the advances in technology nearly every application has the capacity for a negative consequence. The rapid growth, development, and use of AI stem from newly available massive computational power, data storage, management capabilities, and novel technology frameworks like neural networks. Office automation is not new to the private and public sectors, as advances in technology have enabled them to become ever more efficient. Robots are not typically thought of when it comes to unmanned vehicles that prowl the oceans or scan the skies. Public managers face challenges connecting with citizens who are bombarded with information overload from emails and other forms of digital communications.
Challenges and Limits of the Scientific Education and New Media

In this research, the author present the main current limits and future challenges in science education, specifically through new information technologies (IT) and new social media. In addition, the social factors that positively and negatively influence science education, from childhood to adulthood, are disclosed. Simultaneously, through a historical analysis, a parallelism is established between the past and the present, with a projection towards the future of technological innovation and engineering, resorting to the Renaissance as a generator of new synergies in the face of global crises. It also examines some of the main linguistic aspects in the new media as instruments of quality in scientific education, considering the alphabet as the basis of Western civilization.
Ukraine war impedes crackdown on crypto cybercrime

Significance There were signs of possible progress in 2021, and even some cooperation from Moscow -- REvil ransomware gang members were arrested in early 2022. However, that cooperation has disappeared since Russia’s invasion of Ukraine. Impacts Adoption of cryptocurrencies will rise in Russia, Ukraine and parts of Central-Eastern Europe due to the war. More unregulated exchanges will appear that do not abide by Know Your Customer and anti-money laundering rules. Unregulated Asian exchanges will also be used to process illegal transaction and ransom payments.
Strategic Tasks of Contemporary Education: Formal, Nonformal, Informal

The importance of the topic of this article is due to the fact that during the reform of the educational process innovations are needed in the self-training of teachers, so it is important to explore the strategic objectives of contemporary education: formal, nonformal, informal. The purpose of the article is to study and justify the importance of teacher activity in the pedagogical process, highlighting the strategic objectives of formal, nonformal, informal education for self-improvement in the postmodern society. The article gives a theoretical justification for the concepts of formal, nonformal and informal education, considers the innovative perspectives of these concepts in the research of foreign scientists; determined effective conditions for the implementation of nonformal education through the integration platform tools; the specifics of integration of formal, nonformal and integrated education are presented. Nowadays, the change of these forms of education is associated not only with the independent development of each of them, but also with the tendency to combine their prospects. Moreover, it has become clear that formal education, although systemic but inertial, is not able to efficiently respond to students’ demands. As a result, it cannot provide the real continuity necessary for the personal and professional development of a contemporary individual, doomed to a lifelong learning in the conditions of high dynamic changes in the world around.
Transformer-based progressive residual network for single image dehazing

Introduction The seriously degraded fogging image affects the further visual tasks. How to obtain a fog-free image is not only challenging, but also important in computer vision. Recently, the vision transformer (ViT) architecture has achieved very efficient performance in several vision areas. Methods In this paper, we propose a new transformer-based progressive residual network. Different from the existing single-stage ViT architecture, we recursively call the progressive residual network with the introduction of swin transformer. Specifically, our progressive residual network consists of three main components: the recurrent block, the transformer codecs and the supervise fusion module. First, the recursive block learns the features of the input image, while connecting the original image features of the original iteration. Then, the encoder introduces the swin transformer block to encode the feature representation of the decomposed block, and continuously reduces the feature mapping resolution to extract remote context features. The decoder recursively selects and fuses image features by combining attention mechanism and dense residual blocks. In addition, we add a channel attention mechanism between codecs to focus on the importance of different features. Results and discussion The experimental results show that the performance of this method outperforms state-of-the-art handcrafted and learning-based methods.
Basis of Latent Feature Learning

The Internet is speeding up the development of information ear. Online service applications have become very common in our daily life and thousands of services are provided online. Such numerous online services lead to the problem of information overload [1, 2]. Then, an intelligent and efficient system is desired to address such problem [3, 4]. Therefore, as one of the most efficient and effective approaches for addressing information load, the recommender system has attracted much attention.
Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users

In this paper, we address a novel social recommendation for users who have no interactions with items (unobserved users). This task can provide many applications such as recommendations for cold-start users after the first sign-up and targeted advertising, thus, it seems to be extremely meaningful. However, existing social recommendation methods are unsuitable for this task since they assume that all users have interactions with items or cannot recommend more effectively than MostPopular recommendation. Towards this end, we propose Unobserved user-oriented Graph Social Recommendation (UGSR), which learns the preferences of unobserved users and provides richer recommendations than MostPopular recommendation. The popularity-aware graph convolutional network, which is carefully designed for this task, simultaneously considers some user-item interactions, social relations, and item popularity for the effective user and item modeling.
University As a Center of Multi-Level Continuing Education: Approaches, Principles, Experience of Implementation

The article discusses the approaches and principles of creating a regional model of continuing education on the example of the university campus of the Siberian State Industrial University to solve the problems of providing quality education, providing opportunities to meet the broad educational needs of students and creating conditions for solving problems that contribute to the sustainable development of the territory. The model of development of the university's continuing education system is implemented through the integration and continuity of educational programs at all levels of training, based on a set of principles: multilevel and continuity; integration and networking; compliance and quality; academic mobility; advanced development; openness; social partnership. Keywords: model of continuing education, integration and continuity of educational programs, multilevel, networking, social partnership, practice-oriented educational programs.
Evaluating Data Stability During Active Head-Eye Tracking: A Comparison of Dynamic Gaze Error between Two Custom-Built Head-Mounted Devices

The Visual Experience Database is a large-scale effort to capture the high-quality head and gaze data across a wide range of diverse participants and activities. One key goal is to characterize how humans use eye and head movements to acquire information from the environment. However, for active participants in real-life conditions, this requires robust gaze tracking and precise characterization of different sources of error. Slippage, the physical shift of the device on the head, is a major source of error and can limit the types of activities feasible for data collection. In this study, we first introduce two custom-assembled head-eye tracking systems (rigid and elastic) equipped with a heavy high-quality world camera. Next, we propose a novel method to precisely characterize the effect of slippage for each rig throughout the data collection session. We recorded data from 10 participants fixating a stationary target while walking on a treadmill for 90 seconds at three different speeds (1.8, 3.1, and 4.1 mph) corresponding to slow, normal, and fast walking. We repeated this using both devices and ascending or descending speed orders. We use two gaze error metrics: drift, defined as the cumulative error over time, and jitter, defined as the standard deviation of zero-mean error. Average gaze drift in elevation was found to be 0.61 and 1.01 degrees/minute (p<0.02) and instantaneous jitter was 5.01 and 3.99 degrees (p<0.3) for the elastic and rigid devices, respectively. Our findings reveal that the elastic rig provides a smaller drift and a non-significant larger jitter value, proving to be a better choice. Since we have recorded the unperturbed gaze vector i.e. fixation target position during each walking condition, we also discuss the analysis methods and computational models suitable for compensating for both drift and jitter in time.
Factor Analysis of Students Difficulty in Early Reading at Elementary School

This study aims to analyze the factors that influence students' difficulty in reading the beginning by taking the object of research at Suko 1 Sidoarjo State Elementary School. While the type of research selected is a case study with 2 subjects. Data was collected through observation, interview, and documentation techniques. Then analyzed using the interactive analysis of the Miles model, namely data condensation, data presentation, drawing conclusions, and data verification. Test the validity of the data using triangulation techniques. The results showed that early reading difficulties were related to omitting words, replacing words, letters, stammering spelling, pronouncing wrong words, and pronouncing patent letters. These difficulties are influenced by four internal factors, namely daily activities, understanding of the material, psychological conditions, and learning motivation. External factors that affect learning difficulties in early reading are the role of the teacher and the family environment.