Reviewerly/exHarmony huggingface dataset:
SurfMan: Generating Smooth End-Effector Trajectories on 3D Object Surfaces for Human-Demonstrated Pattern Sequence

Specifying robot tasks for low-volume manufacturing scenarios is an open problem. The state-of-the-art robotic systems enable the application of smooth 2 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</i> paths to a 3 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</i> surface but assume that the product engineer provides these paths. We extend this approach with a novel tool-path specification method, which produces smooth paths from noisy demonstrations. The user demonstrates only short patterns and selects a base path relative to an object in front of the robot, along which these patterns should be applied. The representation based on polynomials allows controlling the grade of the smoothness of the resulting tool path. We generate parametrized robot trajectories to meet the use-case-specific constraints and adhere to the robot’s kinodynamic limits. We propose a set of measures to evaluate the quality of the generated curves and corresponding trajectories with respect to executability by a robot. The evaluation in simulation and real-robot experiments showed that the robot could reach up to 15.9% higher constant speed on tool paths generated by our system compared to unprocessed paths.
Attention-Based Video Disentangling and Matching Network for Zero-Shot Action Recognition

Zero-Shot Action Recognition (ZSAR) is achieved by learning the mapping relationship between visual space and semantic space. Existing methods usually utilize the SOTA backbone network to construct the visual space. These methods have two major limitations. First, the human motion information that crucial for action recognition is easy to be confused in the background. Second, the key information which can reflect the correlation between actions may fall into oblivion, due to the redundancy in video sequences. In this paper, we propose an Attention-based Video Disentangling Matching Network (AVDMN) to solve the above problems. Specifically, we decompose segment-wise video into background stream and human motion stream by proposing a video disentangling mechanism. Furthermore, to further highlight the correlation between actions, we design an attention module to extract the key component of the above information. Finally, a relationship learning module is introduced to learn and measure the distance or similarity between video representation and action labels. Experiments on three realistic action benchmark Olympic Sports, HMDB51, and UCF101 show that the proposed architecture achieves favorable performance among ZSAR methods.
AUDIOVISUAL ESSAYS AS A METHOD OF DIGITAL HUMANITIES

The museum is regarded as an educational technology that has pedagogical potential. By relying on the approach of the International Council of Museums, the author demonstrates the interdependence of these two socio-cultural phenomena. It has been justified that creating a space for entertainment, socialization and relaxation, the virtual museum offers a range of cultural and educational services that contribute to the development of students. Related aspects – specific educational platforms and virtual platforms – have been analyzed separately. It is emphasized that the interactive approach is driven by the use of various elements that help increase user interest in the educational process and stimulate cognitive activity. That sort of software comprises games, exhibitions of children’s art works, and an option for creating collages. The author concludes that the use of innovative museum technologies facilitates the adaptation of museums to the socio-cultural challenges of the 21st century and engages in the process of intensive information activities. At the same time, it allows realizing the core functions of the museum by focusing on a crucial educational role. The promising outlook of the museum as an educational technology is also conditioned by its possible consideration as a convenient adaptive resource for the socialization of people with disabilities.
Password Systems: Problems and Solutions

In a security environment featuring subjects and objects, we consider an alternative to the classical password paradigm. In this alternative, a key includes a password, an object identifier, and an authorization. A master password is associated with each object. A key is valid if the password in that key descends from the master password by using a validity relation expressed in terms of a symmetric-key algorithm. We analyse a number of security problems. For each problem, a solution is presented and discussed. In certain cases, extensions to the original key paradigm are introduced. The problems considered include the revocation of access authorizations; bounded keys expressing limitations on the number of iterated utilizations of the same key to access the corresponding object; repositories, which are objects aimed at storing keys, possibly organized into hierarchical structures; and the merging of two keys into a single key featuring a composite authorization that includes the access rights in the two keys.
Two-Dimensional Differential Null Interferometry of Transmission Wavefront of Axicon Lens

Axicon lenses are critical in the beam transforming, such as the Bessel beam and hollow beam generation, and its manufacturing accuracy directly affects the quality of the output beam. Aiming at the versatility and high accuracy, we proposes a two-dimensional differential null interferometry for measuring transmission wavefront of axicon lens. The method uses a pair of axicon lens to construct a null interferometric setup, with one as the compensator. The two-dimensional difference separates the wavefront information introduced by the compensator and achieves the orthogonal difference of the measured wavefront. Finally, the measured wavefront is reconstructed from the differential wavefront based on the Hudgin slope method. Experiments have demonstrated that this method achieves a measurement accuracy of ±0.125μm with a repeatability of 0.759nm.
The Application of PBL in Primary School Teaching of China

PBL (Problem-Based Learning) model not only meets the requirement of student-centered teaching but also reflects the leading position of teachers.PBL is necessary for teaching Chinese by letting students study foundational knowledge and cultivating students' emotional accomplishment.Also, it helps develop students' learning enthusiasm and independent thinking.However, we found that during the practical application process in China, the design of questions was too dull without depth.After solving these problems, students' cognitive level and life experience were not wellconsidered, students' initiative was not well reflected, and group cooperation was too formalized, which did not play a practical role.We put forward some practical measures on these issues by bringing students good to the real situations.Under these situations, problems are designed based on the student's cognitive level, and group work was divided reasonably for achieving the best outcome.Finally, some of the application of PBL in teaching reading is incomplete and imperfect, which has room for improvement.It is hoped that this review paper can provide some experience and inspire future research to apply PBL in the primary school of China and develop well.
Exploring Human and Environmental Factors that Make Organizations Resilient to Social Engineering Attacks

In this explorative research social engineering attacks were studied, especially the ones that failed, in order to help organisations to become more resilient. Physical, phone and digital attacks were carried out using a script following the ‘social engineering cycle’. We used the COM-B model of behaviour change, refined by the Theoretical Domains Framework, to examine by means of a survey how Capability, Motivational and foremost Opportunity factors help to increase resilience of organisations against social engineering attacks. Within Opportunity, social influence seemed of extra importance. Employees who work in small sized enterprises (&lt;50 employees) were more successful in withstanding digital social engineering attacks than employees who work in larger organisations. An explanation for this could be a greater amount of social control; these employees work in close proximity to one another, so they are able to check irregularities or warn each other. Also, having a conversation protocol installed on how to interact with outsiders, was a measure taken by all organisations where attacks by telephone failed. Therefore, it is more difficult for an outsider to get access to the organisation by means of social engineering. This paper ends with a discussion and some recommendations for organisations, e.g. the design of the work environment, to help increase their resilience against social engineering attacks.
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections

Date estimation of historical document images is a challenging problem, with several contributions in the literature that lack of the ability to generalize from one dataset to others. This paper presents a robust date estimation system based in a retrieval approach that generalizes well in front of heterogeneous collections. We use a ranking loss function named smooth-nDCG to train a Convolutional Neural Network that learns an ordination of documents for each problem. One of the main usages of the presented approach is as a tool for historical contextual retrieval. It means that scholars could perform comparative analysis of historical images from big datasets in terms of the period where they were produced. We provide experimental evaluation on different types of documents from real datasets of manuscript and newspaper images.
A Clinical Kidney Intelligence Platform Based on Big Data, Artificial Intelligence, and Blockchain Technology

The high prevalence and incidence of end-stage rental disease (ESRD) and the difficulty in the early predicting the acute kidney injury (AKI) event highlights the limits of existing kidney care model, particularly the fragmented care and fractured data. The era of medical big data and artificial intelligence (AI) opens an opportunity to fill these knowledge and practice gaps. To obtain multi-dimensional view of the profiles of patients receiving dialysis, we propose to provide coherent care services and to actively collect patients’ multi-faceted information from home and hospital (e.g., photos of diets, sleep duration, or dermatologic manifestations). Furthermore, by introducing the blockchain in the infrastructure to enable the trustable medical exchange and effectively creates a large set of distributed medical data lake from various participated hospitals. We will introduce the medical coin, a virtual token, to vitalize digital service within the blockchain and create common interests among data generators, data vendors, and data users.We aim to create business models on top of its therapeutic effectiveness and unlock the academic and commercial value of medical data ecosystem.
Legal policies on E-learning at higher-education level in Vietnam

E-learning with many outstanding advantages in training has drastically changed the self-study process due to the ability to personalize and effectively meet the learning activities of learners. E-learning and building an e-learning environment are currently paying attention and being deployed in many universities in Vietnam with different scope and levels. Especially in the current period, when science and technology are developing, many applications of technology and technology products have been applied in the field of education, changing the way of teaching and learning activities, the practice of both lecturers and students. Big Data and Artificial Intelligence (AI) technologies have replaced people not only for manual labour but also for intellectual labour, including the teaching of teachers. In this article, the authors will give some analysis, evaluation of the current legal policies for eLearning at higher-education level in Vietnam. Then, the authors will propose some solutions to improve the quality of online training in the future.
Gorilla

The Go standard library and related “x” packages offer a lot of functionality that we can leverage to build a website. Go trends toward simpler coding styles if possible; simple doesn't always mean easy though. Until you have enough experience in the domain (web development) and the implementation stack (Go/Web), it might be easier and/or better to use a toolkit that provides additional ease-of-use features. Gorilla is one such toolkit. We have already touched upon Gorilla with WebSockets; now we take a more focused look at its major offerings and in the end see what it did for us vs. a pure Go implementation.
PRINCIPLES OF DIGITAL COMPETENCE FORMATION IN TRAINING PERSONNEL FOR THE SPHERE OF CULTURE AND ART

The principles of the of digital competence formation in training the personnel for the sphere of culture and art have been formulated in the article. The system of formation of digital competence of the students of East Siberian state institute of culture, which implements these principles, is considered.
The Influence of COVID-19 on Publications in Economics: Bibliometric Evidence from Five Working Paper Series

We compare Covid-related working papers in economics to non-Covid-related working papers in four dimensions. Based on five well-known working papers series and data from the RePEc website, we find that Covid papers are mainly cover topics in macroeconomics and health, they are written by larger teams than non-Covid papers, are more often downloaded and they receive more citations relative to non-Covid papers.
Heuristic Based SCA for Twin Robot Cooperation and Path Planning

The primary aim of the paper is to propose an innovative approach for computing an optimal collision-free path for robot pairs in both the static and dynamic environment. The framework lies in solving the cooperation and path planning problem of two pairs of stick-carrying robot from a pre-assumed starting position to a goal position. The problem under consideration has been solved by implementing an enhanced version of sine cosine algorithm. The enhancement is realized by dynamically tuning the parameter for directional movement. The execution result of the algorithm using programming in C language in both the static and dynamic environment has been illustrated. The simulation result justifies the superiority of the proposed algorithm compared to improved PSO, shortest distance algorithm, and sine cosine algorithm generating an optimal collision free path with cooperation. The robustness of the proposed algorithm has been proved in terms of solution quality, path, cost, and performance.
Question Answering (QA) Basics

The main objective of the question answering (QA) task is to provide relevant answers in response to questions asked in natural language through either a prestructured database or a collection of natural language documents [11]. The basic architecture usually consists of three components: a question processing unit, a document processing unit and an answer processing unit. The question processing unit first analyzes the structure of the given question and transforms the question into a meaningful format compatible with the QA domain. The document processing unit generates a dataset or a model that provides information for answer generation. The answer processing unit extracts the answer from information and formatted questions. In this chapter, we discuss the QA task from the following aspects: rule-based methods, information retrievalInformation retrieval-based methods, neural semantic parsingNeural semantic parsing-based methods and approaches taking knowledge base into account.
Elicitation of Requirements for Extended Reality Generation Considering Universal Design for Learning and User-Centered Design for People with Disabilities

Extended Reality (ER) has come to revolutionize how people interact with digital media, this term refers to technologies such as Augmented Reality, Virtual Reality and Mixed Reality. As time progresses, access to these technologies is becoming more accessible to all users, however, when ER is applied to people with disabilities, requirements must be very specific to meet their needs and take advantage of their physical capabilities to improve interaction. Therefore, due to differences that can be encountered from one disability to another, this paper presents preliminary progress of a methodology to build ER applications in users with physical interaction disabilities, in addition, Universal Design for Learning and User-Centered Design are presented as tools to help generating more efficient application for these users. The result of this research shows the first methodological diagram composed by the stages of Analysis, Pre-Production, Production, Post-Production, likewise, activities during analysis stage can be observed to obtain the requirements and products to achieve.
A Preliminary Study of Factors Influencing the Stiffness of Aerial Cable Towed Systems

There is a growing attraction for robotic aerial systems in the academic world and in industry. Aerial Cable Towed Systems (ACTSs) are naturally subjected to various unknown external actions (wind, human, etc.). Accordingly, it is crucial to characterize their stiffness both for balancing external disturbances and for their design. Thus, in this paper, an ACTS with a point-mass end-effector, subjected to a generic force, is considered. The effect of the number of cables and the cable arrangement on the stiffness of the ACTSs is investigated. It turns out that the cable arrangement is the factor that enhances most the stiffness of the ACTSs.
CRYPTO PORTFOLIO TRACKER AND ALERT APPLICATION

The objective of the paper is to build a platform for cryptocurrency investors, who purchase cryptocurrencies on different cryptocurrency exchange platforms where the investor can create his portfolio on the platform and track the real-time profit/loss of his total portfolio balance as well as in each cryptocurrency he has invested in and can also set reminders. With this platform, he can also link his WhatsApp to get notification alerts of his portfolio balance and profit/loss in real-time. This real-time notification alert feature is implemented with Django Celery and Redis. Celery is a task queue with a focus on real-time processing, which also supports task scheduling. Redis is a message broker.
Time-Series Segmentation Based on Video Images of Cutting Operations with a Lathe in Virtual Reality Space

Due to the shortage of labor force in Japan, skill transfer and training education are becoming increasingly important in the manufacturing industry. In recent years, virtual reality (VR) technology has attracted attention in work-related training, enabling simplified training, but there is a problem that human and time resources cannot be sufficiently allocated to training due to a lack of educators and an immature training system. In this study, we developed a method to automatically recognize tasks and actions to improve the efficiency of education and training. To recognize tasks and actions, we adopted a deep learning model that can recognize actions from videos in time series, and we pre-trained the model on a large open-source dataset. We evaluated the performance of the model on unlearned procedures and people by preparing a dataset with three different procedures and 10 participants. The overall validation metrics all exceeded 90%. Specifically, results of more than 90% were achieved for unlearned people, but a drop of more than 5% was observed for all unlearned procedures, suggesting that issues must be addressed for application to task training.
Face Mask Wear Detection by using Facial Recognition System for Entrance Authorization

A Face Mask Wear Detection Device for Entrance Authorization is designed to ensure that everyone wears a face mask at all times in a confined space.It is one of the easiest methods to lower the rate of coronavirus infection and hence save lives.Asthma, high blood pressure, heart failure, and many other chronic conditions can be fatal to those who are infected by the novel Coronavirus (nCoV-21).Consequently, the goal of this research is for face mask wear detection devices that help to reduce the rate of Novel Coronavirus infection on-premises or in public places by ensuring that customers comply with Standard Handling Procedures (SOP) set by the Ministry of Malaysian Health (MOH).Customers' faces are recognized by this device whether or not they are covered by a face mask upon entry into a facility.Additionally, the use of this device can contribute to ensuring compliance with the maximum number of customers allowed on the premises.A facial recognition system is the goal of this study that uses technology designed as an individual disciplinary aid and follows the safety procedure at this critical time.This research was developed using the engineering design process development model which has four phases namely; identifying the problem, making possible solutions, prototype development and testing and evaluating the solution.Results indicate that the developed product can function effectively.Experts have discovered that using this product helps people stick to their face mask routines.The design of this product has improved, which means that the overall quality of the product is elevated to be capable of performing as intended in terms of intelligent technologies.
Contribution to methods and techniques of scientific research: Structure of the scientific research report - 3. Results and their analysis

As in the case of introductions and research methods, it is necessary to look at the structure of the exposition of matter in the chapter relating to the research results and their analysis. This part of the research report has the following structure: selection of results for presentation, systemization and presentation of proven facts (results), analysis of the meaning of the facts presented, analysis of cause-effect connections and relationships between the analyzed elements (proven facts) and analyzes in relation to the broader aspect of observation.