Reviewerly/exHarmony huggingface dataset:
Consumer Rating Analysis and Recommendation Methodology Using Machine Learning

In the era of online shopping, Online platforms are loaded with online shopping. Nowadays, online shopping has become a trend and a necessity of fast delivery to home. Online platforms sites like Twitter, in this new time, is stacked with product marketing and feedback information. One of the most broadly utilized miniatures writing for a blog webpage, Twitter, is the place where individuals share their thoughts as tweets and thusly it becomes perhaps the best hotspot for nostalgic investigation of feedback of products. Assessments can be generally assembled into three classifications for positive, negative and neutral and the method involved with dissecting contrasts of conclusions and gathering them in this large number of classes is done by data modeling. Data mining is fundamentally utilized to uncover applicable data from tweets information particularly from the informal communication destinations. A Model is also designed with Micro blogging solution for the evaluation of reviews. In many social sites there are many online marketing recommendation may be done with recommendation post from the product consumer which would initiate the growth of any business and also eliminate the need of any raw data for analysis of the consumer rating. In the model, we propose a methodology two methodology, one is analysis from social sites like Facebook and other social platform and another is recommendation method which decrease the marketing strategy required for the consumer to consumer connection. A testing recommendation helps to remove not required information from the product consumer to product consumer communication and this helps for the product recommendation analysis to be done properly.
Comparing Augmented Reality-based Display Methods to Present Guiding Information

In recent years, a variety of Augmented Reality (AR) contents have emerged, and it will not be long before we get to use AR devices like a head-mounted display (HMD), or glasses in our daily lives. With such AR devices, we receive a lot of information from them, especially in outdoor situations. In order to find the best way to display virtual contents, in this study, we compare two methods: the "canvas-fixed" method and the "screen-fixed" method with experiments by simulating AR situations in a virtual reality (VR) world, and we discuss the opportunities of the methods.
What is the Relationship among Actual Body Image, Desired Body Image and Body Mass Index in 7-12 Year Old Children?

Purpose:The aim of this research project was to gain a better understanding of a child's perception of actual body image and desired body image compared to Body Mass Index (BMI).The study assessed the relationship among actual body image, desired body image, and BMI for the entire sample group and the subgroups of Hispanics and non-Hispanics.Design: A descriptive, correlational study of a convenience sample of children (n=80), ages 7 to 12 years old was conducted.Methodology: Using a standardized clinical protocol, demographic and growth measurement data were collected by trained clinic personnel with children who met project criteria.Clinic personnel obtained consent from parents and children, administered the Collins' pictogram body images, and determined current school grade, insurance status, and free/reduced lunch program participation.The main research instrument was the two-question pictogram containing Collins' seven gender specific child body pictogram/ silhouette figures of thin body image to an obese body image.Data were analyzed using Spearman correlation coefficients to assess the relationship between actual body image, desired body image, and BMI.Findings: Among the total sample of 80 children, actual body image and BMI/percentile were significantly correlated (46%) as was actual body image with desired body image (35%).BMIs for overweight and obesity accounted for 40 percent of the entire sample of participants.In the sub-group of ethnicity, actual body image and BMI showed a significant association (rho 42%) in the Hispanic population.Actual body image and BMI had a moderate association (38%) as did actual body image and desire body (42%) image among the non-Hispanic population.Half of the Hispanic participants were either overweight (14%) or in the obese (36%) category.Non-Hispanics had 18% in the overweight category and 14% in the obese category.Conclusion: The findings from this descriptive, correlational study may be useful to clinicians who address the health issues of childhood overweight and obesity with their patients.The correlation of 46 percent between actual and BMI percentile demonstrated a 25 percent R2 showing that 25 percent of actual body image was accounted for by BMI.Actual body image was significant in ideal body image in the entire sample, although to a lesser extent than actual to BMI.Hispanic children were over twice as likely to accurately perceive actual body image compared to non-Hispanic children.Hispanic's actual body image did influence desired body image.More research is recommended in the use of pictogram in a clinical setting with a larger population.
Realizing Additional Value From Linear Content Using Metadata and Automation

<i>This article describes the collaboration between BBC News and BBC Research &#x0026; Development, who are exploring ways to use the BBC&#x2019;s linear program output and associated production metadata, along with artificial intelligence and machine learning techniques, to segment the programs into individual stories. These segments can then be used to provide chapterized versions of the linear output, make individual stories findable by search and available as items on web pages. Ultimately, by using object-based media (OBM) techniques, these stories can be recombined to provide personalized and/or interactive experiences. We hypothesize that access to individual stories and items instead of entire, undifferentiated programs will be of greater value to audiences and we provide the user testing results that support this. In this article, we explain the approach being taken to recover program metadata and how that can help achieve content segmentation at scale. The article then describes how OBM techniques are being used to automatically combine segmented content to make new interactive and personalized experiences, including the prototype code base and the workflows developed so far. The article concludes with a summary of the key findings from the work to date, including audience benefits, data consistency, and the role of editorial oversight</i>.
Ethical Modelling

In this chapter, the privacy, discrimination, and explainability aspects of data science modelling are discussed. It starts by describing and comparing different ways in which we can reconcile privacy with data science modelling: differential privacy, zero-knowledge proofs, homomorphic encryption, multiparty communication, and federated learning. In terms of discriminationaware modelling, several (often conflicting) metrics are introduced to measure fairness of a prediction model. The fairness issues are illustrated with cautionary tales related to predicting recidivism and redlining. The third part looks at building explanations and comprehensible models. Several techniques are introduced, ranging from LIME and counterfactuals that lead to individual explanations, to rule extraction methods that explain the global prediction model. It concludes with a discussion on including ethical preferences in self-driving cars, as it relates to the widely known trolley problem.
Guest Editor’s Introduction

International Journal of Software Engineering and Knowledge EngineeringVol. 32, No. 04, pp. 479 (2022) Special Section on SEKE and EducationGuest Editor: Shi-Kuo ChangNo AccessGuest Editor’s IntroductionShi-Kuo ChangShi-Kuo ChangKnowledge Systems Institute, 3420 Main Street, Skokie, IL 60076, USAhttps://doi.org/10.1142/S0218194022020016Cited by:0 Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out our titles in C++ Programming! FiguresReferencesRelatedDetails Recommended Vol. 32, No. 04 Metrics History PDF download
Research on image trading system based on Blockchain and IPFS

Most of the traditional digital copyright management platforms are centralized, which is easy to cause the leakage of private data, that the rights of copyright owners are damaged. An image trading system is implemented using decentralized blockchain technology in this paper. The distributed storage of images is implemented using interplanetary file system (IPFS), the hash address returned by IPFS is stored in the blockchain, which solves the blockchain problems of difficult to capacity expansion and expensive storage space. The private data of images are encrypted storage to ensure the access security of data information. Unique verification of images to ensure that the same image cannot be registered repeatedly. Tests show that the system has good performance and security.
ECOSYSTEM APPROACH IN ORGANIZING THE TRAINING OF PROFESSIONAL PERSONNEL FOR THE DEVELOPMENT OF THE REGION

The article reveals a number of contradictions in the synchronization of professional training and qualification expectations in Moscow region labor market. The data obtained show that the problem of creating a balanced regional system of professional education that meets the needs of young people, employers, society and the state is complex and, accordingly, requires the same balanced integrated approach. According to the author, the ecosystem approach is the approach in need. Speaking of the «educational ecosystem» the author means a new management paradigm of organizing the process of education and training. It must be flexible, and built on the principles of adaptability and personalization. It is necessary to form modern competencies at teachers and administrators of educational organizations, universities and colleges in the sphere of creating and operating personnel partnership ecosystems surrounding educational organizations; identify and study the qualification requirements of manufacturing enterprises; continuously engage consultants and experts in the development of indicators of regional staffing needs; provide sites of manufacturing enterprises to organize professional internships for teachers of educational organizations in order to fill qualification gaps; conduct a marketing orientation of the management system of educational organizations, universities and colleges in order to increase the efficiency of interaction between educational organizations and the labor market.
Preparing students for upbringing activity at higher education institution: vector for contemporary development

Despite the fact that effective practices of preparing students for upbringing activities persist in contemporary activities of higher education institutions, research evidence confirms the unsatisfactory state of preparedness of future pedagogues for upbringing tasks. The aim of the article is to analyse the difficulties and resources related to the improvement of vocational education and training in the aspect of the implementation of modern training tasks. What has become the methodological basis of the study are the provisions of Lyudmila Novikova's scientific school on the systemic approach in upbringing, in the social theory of upbringing in the context of socialisation by Anatoliy Mudrik, network theory. The main problems of the current state of preparation of future pedagogues to upbringing activities are defined (reduction of quantitative and qualitative content of theoretical and practical training of future pedagogues to upbringing activities; discrepancy of published educational literature on the theory and methodology of upbringing to topical tasks of upbringing activities; social immaturity of students, poor teacher training in the theory and practice of upbringing and other). The programme of changes in the improvement of the analysed problem is proposed – change in the targets in the direction of strengthening the subjective component, development of the system of upbringing work in a higher education institution with professional-pedagogic orientation; change in the design of educational programmes. Conditions for the implementation of the proposed changes – systemic investigation of topical issues of upbringing in the context of training future pedagogues for upbringing activities – are outlined; forming an effective feedback mechanism "higher education institution – school – higher education institution"; developing network training formats; creating a bank of technologies for practical training in a hybrid, distance format; updating the information resource of training; saturating the educational space of higher education institution with life in a higher education institution, meaningful from a professional point of view, interesting.
Enabling Virtual Reality Interactions in Confined Spaces by Re-Associating Finger Motions

As Virtual Reality (VR) headsets become mobile, people can interact in public places with applications often requiring large arm movements. However, using these open gestures is often uncomfortable and sometimes impossible in confined and public spaces (e.g., commuting in a vehicle). We introduce the concept of finger mapping, re-associating small-scale finger motions onto virtual arms in a larger VR space. Finger mapping supports various interactions (e.g., arms swinging movement, selection, manipulation, and locomotion) when the environment is constrained and does not allow large gestures. Finally, we discuss the opportunities and challenges of using finger mapping for VR interactions.
Peer Review Statement

Abstract All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: All papers from the conference submitted to icoaas@polinela.ac.id managed by Dr. Edy Humaidi • Number of submissions received: 131 • Number of submissions sent for review: 129 • Number of submissions accepted: 98 • Acceptance Rate (Submissions Accepted / Submissions Received x 100): 74.8 • Average number of reviews per paper: 2 • Total number of reviewers involved: 28 • Contact person for queries: Name: Robbi Rahim Email: robbirahim@ieee.org Affiliation: Sekolah Tinggi llmu Manajemen Sukma
High-speed Gaze-oriented Projection by Cross-ratio-based Eye Tracking with Dual Infrared Imaging

While gaze-oriented projection can be high-resolution and wide-area display, conventional methods have difficulties in handling quick human eye movements. In this paper, we propose a high-speed gaze-oriented projection system using a synchronized high-speed tracking projector and cross-ratio-based eye tracking. The tracking projector with a high-speed projector and rotational mirrors enables temporal geometric consistency of the projection. The eye tracking uses high-speed cameras and infrared lightings of different wavelengths, and can achieve fast and almost calibration-free due to the cross-ratio algorithm. We have experimentally validated the eye tracking speed and accuracy, system latency, and demonstrated gaze-oriented projection.
High‐precision positioning technology for high‐performance quantum networks

Abstract A team led by Gerhard Rempe at the Max Planck Institute of Quantum Optics uses SmarAct's nano‐precise, stick‐slip piezo stages to enter the uncharted territory of quantum communications. In order to make this happen, they couple‐crossed optical fiber cavities to one atom. This setup essentially forms a quantum network node that connects to two quantum channels, one provided by each cavity. It features passive, heralded and high‐fidelity quantum memory that is not dependent on any amplitude and phase‐critical control fields or error‐prone feedback loops. Slight modification to the crossed optical fiber cavity setup provides non‐destructive qubit detection within quantum networks. Both the highly reliable quantum memory system and the nondestructive qubit detection represent breakthroughs that pave the way for fully functional, large‐scale quantum networks with multiple connected nodes [1, 2].
Analysis of Planning System Digitalization of Non Cash Sales of Electric Equipment Companies (Case Study in CV. Sinar Elektronik)

&#x0D; &#x0D; &#x0D; CV Sinar Elektronik is a trading company that distributes electrical equipment like a cables, sockets, switches and etc. As a trader engaged in trading, it is important to pay attention to the information on the sales system. Sales are the main component of business processes so the exhibition can run smoothly and rhythmically. A great sales system and system will produce the right information for users. The operating system researcher conducted an analysis of the CV Sinar Elektronik distribution system and procedure which had several drawbacks and caused problems. The first problem is the lack of sales order number information and shipping information on sales orders, dust particles can be used as transaction identifiers. The second problem is that hive customers don't have a credit limit. The last problem is the absence of a customer complaint collection system. This study to analyze and evaluate the computerized information system of the sales cycle of CV Sinar Elektronik. This type of research information is qualitative and uses kick-the-bucket information sources obtained within the company. The data collection methods used are interviews, observation and documentation. The result of this research is the design of an automated commercial information system, the improvement of the techniques and documents of the CV Sinar Elektronik.&#x0D; &#x0D; &#x0D;
The Effect of Employees’ Perceived Expertise about HR Department on Satisfaction of Education and Training Opportunities: The Moderating Role of HR Department’s Communication Activities

Purpose - This study examines how employees’ perception of HR department expertise affect their satisfaction of education and training. Moreover, this study explores that the HR department’s communication activities moderate the main effects between satisfaction of education and training opportunities. Design/methodology/approach - This study predicts the positive relationship between employees’ perceptions of HR department expertise and their satisfaction of education and training. Furthermore, the HR department’s communication activities will strengthen this positive relationship. To test these hypotheses, this study used the Human Capital Corporate Panel (HCCP) datasets, especially individual-level 2017 data. The final number of samples is 1,947 for the analyses. In addition, this study utilized a hierarchical regression model with SPSS program. Finding The results analyzed with the hierarchical regression model showed that the perceptions of HR department expertise had a positive relationship with satisfaction of provided educational and training. In addition, the HR department’s communication activities moderated the relationship between perception of HR department expertise and satisfaction of education and training opportunities. Research implications or Originality - This study suggests academic and practical implications for future research in the human resource development filed by clarifying the critical factors to increase employees’ satisfaction and transferability of education and training.
Conclusion

Chapter 8 presents a summary of the findings. The limitations of the study are also discussed, including the subtle nature of function, more cross-linguistic verification, comparisons in greater detail, the need for both diachronic and synchronic investigations, and so on. More significantly, spoken language should also be taken into consideration for further improvement.
Preliminary analysis of effective assistance timing for iterative visual search tasks using gaze-based visual cognition estimation

In this paper, focusing on whether a person has visually recognized a target (visual cognition, VC) in iterative visual-search tasks, we propose an efficient assistance method based on the VC. In the proposed method, we first estimate the participant&#x0027;s VC of the target in the previous task. We then determine the target for the next task based on the VC and start to guide the participant&#x0027;s attention to the target for the next task at the VC timing. By initiating the guidance from the timing of the previous target&#x0027;s VC, we can guide attention at an earlier time and achieve efficient attention guidance. The preliminary experimental results showed that VC-based assistance improves task performance.
Implementing digital image security framework with hybrid approach of chaotic map and singular-value decomposition

Various encryption techniques, mostly based on mathematical and logical principles, are used for protecting sensitive data from attacks meant to modify or unauthorizedly distribute them. The importance of these techniques has grown significantly as various real-life applications in fields like medicine, banking, or transport are accompanied by increasing security concerns. Various effective cryptography schemes were proposed so far in the literature; however, each of them exhibits certain flaws and limitations with respect to different vital aspects. To overcome these issues, we propose a hybrid scheme for securing digital images by encrypting them using a dual security approach. More precisely, we use first a chaotic map for scrambling the image pixels, and then, we apply the singular-value decomposition method for decomposing the permuted image to provide very strong security. Individually each of these steps has already been considered in the cryptographic literature; however, their combination has not been proposed before this contribution. Experimental results on benchmark data validate our proposed scheme and various performance evaluation metrics indicate that it shows promising qualities in terms of security (against various attacks) and sensitivity in comparison with baseline methods.
A Critical Review on L1 Child Acquisition of Word Meaning

The purpose of this study is to critically review and study L1 child acquisition of word meaning in terms of the theory of mind with respect to different age groups, based on Bloom (2000). Two more current papers were studied in line with Chenu & Jisa (2009) and Kuipers et al. (2017) to identify and clarify the important issues raised in the field of vocabulary acquisition or vocabulary learning. Bloom
Noise robust face morphing detection method

Face morphing attack has become a severe threat to the current face recognition systems. Though there are some methods for detecting face morphing, the performance of these methods is susceptible to noise. Aiming to enhance the performance of resisting noise in face morphing detection, a noise robust convolutional neural network is proposed in this paper. The structure of the network is divided into two parts: facial image adaptive denoising and face morphing detection. Before the face morphing detection, the auto-encoders are first utilized to adaptively denoise the noised facial images, which can effectively reduce the influence of noise on face morphing detection. Then, the pre-trained VGG19 convolution neural network with powerful classification ability is used for face morphing detection with the generated noise-free facial images. Experimental results indicate that the proposed method can effectively reduce the noise influence on face morphing detection, and can achieve better performance compared with some existing methods.