Reviewerly/exHarmony huggingface dataset:
Application of intelligent filming equipment in medical health monitoring.

With the progress of technology, a variety of video shooting equipment appeared in people's vision. The improvement of video shooting performance and the decrease in production cost have not only lowered the production threshold, but also greatly facilitated people's daily life. Especially in the field of medical health monitoring, video shooting plays an increasingly important role. This paper summarizes the application of intelligent filming equipment in medical health monitoring under this background.The intelligent filming equipment used in medical health monitoring is mainly applicable to patients who do not find it convenient to use contact shooting equipment, as well as patients with cardiovascular diseases and health detection and rehabilitation guidance for human knee joints. In this context, this paper uses literature survey methods and interdisciplinary research methods.We conclude that the measurement results of health monitoring devices obtained by using intelligent filming devices can only be used as a reference for medical personnel in further diagnosis, failing to reach the accuracy of direct medical diagnosis.The research of intelligent filming equipment in the field of medical health monitoring still needs continuous improvement. The monitoring results should be more stable and eventually industrialized, to solve the current problems in medical health monitoring. This will ultimately help to protect people's health.
Minotaur

Resource-based consensus is the backbone of permissionless distributed ledger systems. The security of such protocols relies fundamentally on the level of resources actively engaged in the system. The variety of different resources (and related proof protocols, some times referred to as PoX in the literature) raises the fundamental question whether it is possible to utilize many of them in tandem and build multi-resource consensus protocols. The challenge in combining different resources is to achieve fungibility between them, in the sense that security would hold as long as the cumulative adversarial power across all resources is bounded.
Retraction: A Probe into the Professional Development Path of College English Teachers under the Background of Big Data (J. Phys.: Conf. Ser. 1883 012131)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
I. F. STRAVINSKY AND S. P. DIAGHILEV: TO THE HISTORY OF COOPERATION

In 2022, two significant dates are celebrated: the 150th anniversary of the birth of S. P. Diaghilev (1872–1929), entrepreneur, creator and head of the "Russian Seasons" enterprise in Paris, and the 140th anniversary of the birth of I. F. Stravinsky, an outstanding composer. Based on documentary evidence, the article traces the nature of the interaction between the two creators in certain periods of their joint work. At the same time, it is noted that the fates of the two figures of Russian culture were closely intertwined in terms of personal friendship. They also had much in common: both Diaghilev and Stravinsky were brought up in families where art and music were deeply revered, both studied at Saint Petersburg University and took lessons from professors of the Saint Petersburg Conservatory. The composer and the entrepreneur collaborated for a long period in the Parisian "Saisons Russes", for which Stravinsky composed twelve operas and ballets. Their creative collaboration in the Diaghilev project lasted eighteen years. Fate surprisingly brought them together after their demise, both Stravinsky and Diaghilev rested with a difference of 42 years on the island-cemetery of San Michele in Venice.
HOLISTIC PERCEPTION AND ITS ROLE IN PROFESSIONAL DEVELOPMENT OF FUTURE TEACHERS OF FINE ARTS

The article discusses the role of purposeful education of such a specific quality of vision as a holistic vision in the professional development of future teachers of fine arts. The analysis of classical and modern studies on this issue allowed the authors to define the integrity of perception as the ability to see nature and the image itself not in fragments, but immediately in all the unity and diversity of its plastic properties and qualities. According to the results of the study, it was found that in the process of visual analysis of the depicted object of nature, a generalized form is revealed in the form of a "spot" — its silhouette. With visual recognition and depiction of an object in the silhouette technique, the key educational and creative task of defining the "holistic form of nature" and displaying it on the plane in the form of a "pictorial spot" is solved. This is explained by the fact that the silhouette image, being a kind of artistic technique, contains all the signs of a graphic symbol, namely: the absence of secondary, distracting details, high contrast, clarity of forms. Based on the practical experience gained during the first-year teaching at the Faculty of Arts and Design of the Pedagogical University, it is proved that without a competent setting of vision for the generalized perception of objects of nature and image, the full-fledged training of future fine art teachers is impossible.
Effects of Consumer Loneliness on Chatbot Recommendation Intention: Moderating Effects of Chatbot Conversation Style

Anthropomorphizing chatbots can produce more effective consumer interactions owing to the human warmth provided by the chatbot. This study expands the scope of previous studies by examining the influence of loneliness, a personal consumer characteristic, on the acceptance intention of a chatbot recommendation. Additionally, the moderating effect of chatbot conversation style (warmth vs. competence) on this relationship was examined. To verify this hypothesis, we conducted two pretests and one laboratory experiment. The results of the analysis indicate that the higher the degree of loneliness, the stronger the tendency to accept chatbot recommendations (Hypothesis 1). Particularly, when the chatbot interacts in a warm manner, consumers who are experiencing loneliness are more likely to accept chatbot recommendations. However, when the chatbot interacts competently, the degree of loneliness does not affect the acceptance intention of the chatbot recommendation (Hypothesis 2). This finding contributes to the literature on chatbot anthropomorphism and provides practical information for chatbot conversation decisions in relation to consumer characteristics.
Verbalphrase mit Präposition dan Präpositionalphrase: Persprektif Mahasiswa terhadap Kategori Frasa

&lt;p class="Abstrak"&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; The aim of this study was to find out the comprehension of students, analysis, and reasons students who did not understand prepositional verb phrases and prepositional phrases. The research method used in this study was a mixed method with an explanatory research design. The data in this study were &lt;em&gt;Verbalphrase mit Prposition and Präpositionalphrase&lt;/em&gt; which were described in the form of tree diagrams by students and the results of interviews with students who did not understand the use of &lt;em&gt;Verbalphrase mit Prposition and Präpositionalphrase&lt;/em&gt;. The finding indicated that students still did not understand about &lt;em&gt;Verbalphrase mit Präposition and Präpositionalphrase&lt;/em&gt;, students made mistakes in phrase and word categories, and students experienced difficulties in analyzing &lt;em&gt;Verbalphrase mit Präposition and Präpositionalphrase&lt;/em&gt;.&lt;/p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Penelitian ini memiliki tujuan untuk mengetahui pemahaman mahasiswa, penganalisisan, serta alasan mahasiswa tidak memahami frasa verba berpreposisi dan frasa preposisi. Metode penelitian yang digunakan dalam penelitian ini adalah metode campuran dengan rancangan penelitian &lt;em&gt;explanatory&lt;/em&gt;. Data dalam penelitian ini berupa &lt;em&gt;Verbalphrase mit Präposition&lt;/em&gt; dan &lt;em&gt;Präpositionalphrase&lt;/em&gt; yang dijabarkan dalam bentuk diagam pohon oleh mahasiswa dan hasil wawancara terhadap mahasiswa yang belum memahami penggunaan &lt;em&gt;Verbalphrase mit Präposition&lt;/em&gt; dan &lt;em&gt;Präpositionalphrase&lt;/em&gt;. Temuan penelitian menunjukkan bahwa mahasiswa kurang memahami &lt;em&gt;Verbalphrase mit Präposition&lt;/em&gt; dan &lt;em&gt;Präpositionalphrase&lt;/em&gt;, mahasiswa melakukan kesalahan kategori frasa dan kata, dan mahasiswa mengalami kesulitan-kesulitan dalam penganalisisan &lt;em&gt;Verbalphrase mit Präposition&lt;/em&gt; dan &lt;em&gt;Präpositionalphrase&lt;/em&gt;.
A Novel Training Quantitative Evaluation Method Based on Virtual Reality

Quantitative training virtualization can be applied in the fields of human–computer interaction, virtual reality and motion analysis, and has attracted much attention. Based on the virtual reality theory, this paper constructs a training quantitative evaluation method, evaluates the trainer’s ergonomics, and finally compares the evaluation method with the simulation results. According to the collected training data, this paper uses the methods of model reuse and feature parameter adjustment in the Jack software to quickly generate a 3D training model with the required percentages, and performs data reorganization and analysis on the captured training data, which solves the problem of training quantitative evaluation and the problem of uncertainty of results. During the simulation process, according to its reorganized data, a large number of comparative experiments and evaluations were performed on the performance of the model proposed in this paper on multiple indicators of multiple public data sets. The experimental results show that the cycle is reduced by 10 times, the mini-batch is 32, and the sequence length is 16. In this way, the spatial characteristics of the channel coupling relationship can be better analyzed, and the effect of spatial cognitive training can be effectively evaluated. The training pose and shape estimation model and the corresponding data set and multiple indicators have reached the performance of the existing state-of-the-art models. The integrated model of accurate training pose and shape sequence in the camera coordinate system can be reconstructed, which effectively enhances the effectiveness of the virtual scene parameter adjustment strategy.
Analysis of Cross-Site Scripting Vulnerabilities in Various Day-To-Day Web Applications

Networking threats aim to disrupt the normal flow of data and communication. They attack basic security measures—confidentiality, integrity and availability. Cross-site scripting (XSS) aims at rattling either confidentiality or integrity, depending on the focus of the attack. Since the dawn of the Internet, the amount of cyber-attacks and also the need for cybersecurity has grown exponentially. Today, there are numerous predefined ways network resources that can be attacked. It can be via malware or networking threats like XSS. This paper is an attempt to discover the most commonly exploited flaw in today’s web pages—the XSS vulnerability—using various testing tools like Burp Suite and Nessus.
The use of information behaviour research in human-computer interaction

Introduction. Information behaviour research is criticised for its lack of applicability in practice. An area that can potentially benefit from information behaviour research is human computer interaction. We investigate the extent to which information behaviour is used (cited) in human computer interaction research. Method. We retrieved 21,720 human computer interaction articles published from 2011 to 2020. Analysis. We searched for information behaviour articles in 880,533 references cited by human computer interaction articles. A random sample of 400 citations was drawn and their citation type was categorised as affirmation, negation, application, perfunctory, and review. Results. Only 0.5 per cent of references in human computer interaction were information behaviour sources. 11.2% (2,432 out of 21,720) of human computer interaction papers cited information behaviour sources. Although the most common citation type was review (45%), a considerable number of citations were of application type (31.3%), and the rest were perfunctory (19%), affirmation (3.9%) and negation (0.7%). Negation and affirmation citations were more likely to occur in the conclusion of articles. Conclusions. The use of information behaviour research in human computer interaction is promising given the amount of application citations. Human computer interaction is an area where information behaviour research can influence practice and convergence and collaboration between the two fields can improve the usability of information behaviour research.
Thinking Outside of the Academic Box

The ongoing COVID-19 pandemic has posed major challenges to education at all levels. Both instructors and students have had to adjust to learning on virtual platforms such as Blackboard. Moving traditional courses online while maintaining high academic standards can be difficult, especially with hands-on laboratory courses. We believed that we could achieve this goal by “thinking outside of the academic box”. The Blackboard learning management system had a number of features we had not used in the face-to-face environment, including the creation of wikis as a substitute for in-class presentations, and journaling as a substitute for paper laboratory reports. Combining these features with the content-rich resources of YouTube and various online educational resources (OER), we developed learning opportunities that met the objectives of two laboratory science courses. We believe this new combination of educational resources should be retained after the resumption of face-to-face instruction.
Research on the Hierarchical Interactive Teaching of Middle School Chemistry Based on the Theory of "Mind Map"

The hierarchical interactive teaching model under the guidance of mind map theory advocates problem stratification, intelligence stratification, interactive teaching, cooperative learning, which comprehensively cultivates students' divergent thinking and inquiry ability on the basis of respecting students' differentiated development, so as to implement the core literacy of chemistry. It is a good teaching mode of teaching students in accordance with their aptitude. Based on the actual situation of middle school chemistry teaching in China, this paper analyzes the problems existing in the current teaching, discusses the relationship between this model and China′s education policy, as well as the specific methods and strategies of application in middle school teaching design. Taking "The Properties of Chlorine" as an example, the specific teaching design is carried out to explore the specific path of integrating hierarchical interactive teaching mode into chemistry teaching in China, in order to promote the application of this mode in high school chemistry teaching.
Research on Regional Basic Education Quality Assessment Based on Deep Convolutional Neural Network

At present, the informatization of basic education quality assessment has become a hot topic in the field of education and is playing an increasingly important role. Based on the theory of deep convolutional neural network, this paper adopts the methods of mathematical analysis and experimental research to construct a regional basic education quality assessment model. The model solves the data informatization problem of education quality assessment. In the simulation process, two key modules of data self-assessment and expert assessment of the deep convolutional neural network are realized by ASENET+SQL SERVER, and the assessment results are integrated by using the weighted average method and the fuzzy comprehensive assessment method. The experimental results show that the quantitative analysis of the quality assessment is carried out by using the logic and support relationship, and the results of comprehensive qualitative analysis and quantitative analysis are realized and segmented when the threshold level is 9, the MIOU obtains the highest value of 0.7501, and the MIOU of the multi-stage method of the quality evaluation model proposed in this paper is 0.8116, which is 6.15% points higher than the traditional multi-stage algorithm, which effectively improves the current stage area quality of basic education.
Improving Robustness of Jet Tagging Algorithms with Adversarial Training

Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, in identification of physics objects, such as jet flavor tagging, complex neural network architectures play a major role. However, these methods are reliant on accurate simulations. Mismodeling can lead to non-negligible differences in performance in data that need to be measured and calibrated against. We investigate the classifier response to input data with injected mismodelings and probe the vulnerability of flavor tagging algorithms via application of adversarial attacks. Subsequently, we present an adversarial training strategy that mitigates the impact of such simulated attacks and improves the classifier robustness. We examine the relationship between performance and vulnerability and show that this method constitutes a promising approach to reduce the vulnerability to poor modeling.
Different Types of Photon Entanglement from a Constantly Driven Quantum Emitter Inside a Cavity

Adv. Quantum Technol. 2021, 4, 2000108 https://doi.org/10.1002/qute.202000108 The authors state that this correction has no impact on any subsequent formula or conclusion presented in the original article and apologize for any confusion this may have caused.
Adaptive Parameters Based Fuzzy Control Approaches Applied to a Single Inverted Pendulum System

This paper deals with adaptive fuzzy approaches for controlling a cart-pendulum system. In fact, it suggests the use of a conventional Fuzzy Proportional-Integral-Derivative (FPID) controller to control the angle of the pendulum and an unconventional fuzzy controller which is an interesting idea to control the cart position. For that, two Adaptive FPID (AFPID) controllers and a Self-Tunable Fuzzy Inference System (STFIS) controller are used. To sweep all the output space of these controllers, a set-point very rich in information is applied to cart displacement. The conclusions of the fuzzy rules of STFIS controller are on-line fitted by using an adaptive learning algorithm. The conclusions obtained are sorted and then are clustered in intervals. Simulation results show the interpretability of STFIS controller behavior in form of decision rules. Moreover, the STFIS controller is compared to the two AFPID controllers. This comparison shows that a FIS based on a best self-tuning of fuzzy rule base, i.e. STFIS controller, can replace correctly and more perfectly the role of a FPID controller with self-tuning scaling factors. So, the STFIS controller might be used to improve performances and robustness of a control system.
Effectiveness of Learning Through Online Technology in PAI Mapel at Madrasah Tsanawiyah

This article was created for the results of research on the effectiveness of online learning in PAI subjects at MTsN Tembelang Jombang. Research Methods This article uses a qualitative method with a case study approach with the type of domain analysis with analytical techniques. Qualitative research is research conducted directly in the field to find all activities or direct phenomena that occur in an object under study. And for the type of analysis domain, it describes a broad and general analysis, but it is not detailed yet and is still comprehensive. The subjects in this study were class VII D students, which amounted to approximately 30 students, during this pandemic they carried out learning with whatsapp and google classroom media where the application requires a strong and stable signal so that learning can be carried out properly. Based on the discussion, it can be concluded that online online learning can be said to be quite effective.
Student Translation Process in Narrative Text Learning in Vocational High Schools

The purpose of this study is to determine the types of translation techniques used by SMK Yapalis Krian class X AK 3 students in Narrative text section of the english class. Narrative texts were chosen because they contain stories with a chronological sequence that are interconnected and come in a variety of genres, allowing students to translate and work on the Narrative text problems in a variety ways. This study employs a descriptive design, with data collected through observation and the subject filling out a questionnaire page online. Data were taken from students of class X AK 3 SMK Yapalis Krian. The findings show that students use the methods of analysis, transfer and restructuring sequentially. Students who do not use appropriate stages and only use one or two stages as the second most common translation process.
The Effect of Augmented Reality Learning Media on Motivation and Social Studies Learning Outcomes in Elementary Schools

This study aims to determine the effect of augmented reality learning media on students' motivation and learning outcomes in elementary social studies subjects. The research method used is quantitative experimental, pre experimental design, one group pretest-posttest. The data collection technique was done by giving pretest and posttest. Data analysis techniques using inferential statistics include parametric statistics using paired sample t-test. The results of the study found that there was a big influence on the use of augmented reality learning media on students' motivation and learning outcomes in elementary social studies subjects. There are two aspects of increasing students' learning motivation including intrinsic and extrinsic aspects. Meanwhile, the increase in student learning outcomes in the cognitive domain is at levels C1, C2 and C3. The results of this study suggest that teachers, especially teachers at the elementary level, make more use of technology in making learning media, especially in social studies subjects. In addition to facilitating the planting of learning concepts, the use of technology-based learning media is also useful in making learning activities more interesting and making it easier for students to understand learning materials.